From d6ffde0fbc502d39b6748e81d7625ec310c61590 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Tue, 9 Jul 2019 09:45:45 +0200 Subject: [PATCH 01/92] Spectral --- sknetwork/embedding/__init__.py | 6 ++-- sknetwork/utils/adjacency_formats.py | 46 +++++++++++++++++++++++----- sknetwork/utils/preprocessing.py | 20 +++++++++++- 3 files changed, 60 insertions(+), 12 deletions(-) diff --git a/sknetwork/embedding/__init__.py b/sknetwork/embedding/__init__.py index 3b6bde2f2..e73417ff5 100644 --- a/sknetwork/embedding/__init__.py +++ b/sknetwork/embedding/__init__.py @@ -1,3 +1,3 @@ -from sknetwork.embedding.gsvd import * -from sknetwork.embedding.spectral import * -from sknetwork.embedding.metrics import * +from sknetwork.embedding.gsvd import GSVD +from sknetwork.embedding.spectral import Spectral +from sknetwork.embedding.metrics import linear_fit, dot_modularity, hscore diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index 0a6ec2881..12e5a63d3 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -5,10 +5,14 @@ @author: Nathan de Lara """ +import numpy as np from scipy import sparse +from sknetwork.utils.sparse_lowrank import SparseLR +from typing import Union -def directed2undirected(adjacency: sparse.csr_matrix, weighted: bool = True) -> sparse.csr_matrix: +def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], + weighted: bool = True) -> Union[sparse.csr_matrix, SparseLR]: """ Parameters @@ -20,13 +24,22 @@ def directed2undirected(adjacency: sparse.csr_matrix, weighted: bool = True) -> ------- """ - if weighted: - return sparse.csr_matrix(adjacency + adjacency.T) + if type(adjacency) == sparse.csr_matrix: + if weighted: + return sparse.csr_matrix(adjacency + adjacency.T) + else: + return adjacency.maximum(adjacency.T) + elif type(adjacency) == SparseLR: + if weighted: + new_tuples = [(y, x) for (x, y) in adjacency.low_rank_tuples] + return SparseLR(directed2undirected(adjacency.sparse_mat), adjacency.low_rank_tuples + new_tuples) + else: + raise ValueError('This function only works with ``weighted==True`` for SparseLR objects.') else: - return adjacency.maximum(adjacency.T) + raise TypeError('Input must be a scipy CSR matrix or a SparseLR object.') -def bipartite2directed(biadjacency: sparse.csr_matrix) -> sparse.csr_matrix: +def bipartite2directed(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union[sparse.csr_matrix, SparseLR]: """ Parameters @@ -38,10 +51,17 @@ def bipartite2directed(biadjacency: sparse.csr_matrix) -> sparse.csr_matrix: """ n, m = biadjacency.shape - return sparse.bmat([[None, biadjacency], [sparse.csr_matrix((m, n)), None]], format='csr') + if type(biadjacency) == sparse.csr_matrix: + return sparse.bmat([[None, biadjacency], [sparse.csr_matrix((m, n)), None]], format='csr') + elif type(biadjacency) == SparseLR: + new_tuples = [(np.hstack((x, np.zeros(m))), np.hstack((np.zeros(n), y))) + for (x, y) in biadjacency.low_rank_tuples] + return SparseLR(bipartite2directed(biadjacency.sparse_mat), new_tuples) + else: + raise TypeError('Input must be a scipy CSR matrix or a SparseLR object.') -def bipartite2undirected(biadjacency: sparse.csr_matrix) -> sparse.csr_matrix: +def bipartite2undirected(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union[sparse.csr_matrix, SparseLR]: """ Parameters @@ -52,4 +72,14 @@ def bipartite2undirected(biadjacency: sparse.csr_matrix) -> sparse.csr_matrix: ------- """ - return sparse.bmat([[None, biadjacency], [biadjacency.T, None]], format='csr') + if type(biadjacency) == sparse.csr_matrix: + return sparse.bmat([[None, biadjacency], [biadjacency.T, None]], format='csr') + elif type(biadjacency) == SparseLR: + n, m = biadjacency.shape + new_tuples = [] + for (x, y) in biadjacency.low_rank_tuples: + new_tuples.append((np.hstack((x, np.zeros(m))), np.hstack((np.zeros(n), y)))) + new_tuples.append((np.hstack((np.zeros(n), y)), np.hstack((x, np.zeros(m))))) + return SparseLR(bipartite2undirected(biadjacency.sparse_mat), new_tuples) + else: + raise TypeError('Input must be a scipy CSR matrix or a SparseLR object.') diff --git a/sknetwork/utils/preprocessing.py b/sknetwork/utils/preprocessing.py index 96979b78b..23192485a 100644 --- a/sknetwork/utils/preprocessing.py +++ b/sknetwork/utils/preprocessing.py @@ -6,12 +6,30 @@ """ import numpy as np -from sknetwork.utils.checks import check_format, is_square from scipy import sparse from scipy.sparse.csgraph import connected_components +from sknetwork.utils.checks import check_format, is_square +from sknetwork.utils.adjacency_formats import bipartite2undirected from typing import Union +def is_connected(adjacency: sparse.csr_matrix) -> bool: + """Check whether a graph is weakly connected. Bipartite graphs are treated as undirected ones. + + Parameters + ---------- + adjacency + + Returns + ------- + + """ + n, m = adjacency.shape + if n != m: + adjacency = bipartite2undirected(adjacency) + return connected_components(adjacency, directed=False)[0] == 1 + + def largest_connected_component(adjacency: Union[sparse.csr_matrix, np.ndarray], return_labels: bool = False): """ Extract largest connected component of a graph. Bipartite graphs are treated as undirected ones. From 08ec462589c629e32a3d44921f6b7ef06c1cd480 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Tue, 9 Jul 2019 11:10:07 +0200 Subject: [PATCH 02/92] Spectral --- sknetwork/__init__.py | 14 +++--- sknetwork/embedding/spectral.py | 45 +++++++++++++------- sknetwork/embedding/tests/test_embeddings.py | 5 +++ 3 files changed, 42 insertions(+), 22 deletions(-) diff --git a/sknetwork/__init__.py b/sknetwork/__init__.py index 15891b0d1..75fa8c796 100644 --- a/sknetwork/__init__.py +++ b/sknetwork/__init__.py @@ -41,10 +41,10 @@ def empty(**kwargs): pass -import sknetwork.clustering -import sknetwork.embedding -import sknetwork.hierarchy -import sknetwork.loader -import sknetwork.ranking -import sknetwork.toy_graphs -import sknetwork.utils +# import sknetwork.clustering +# import sknetwork.embedding +# import sknetwork.hierarchy +# import sknetwork.loader +# import sknetwork.ranking +# import sknetwork.toy_graphs +# import sknetwork.utils diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index f0c32d063..b08abfc9a 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -12,14 +12,15 @@ from scipy import sparse from scipy.sparse.linalg import eigsh from sknetwork.utils import safe_sparse_dot, randomized_eig, SparseLR +from sknetwork.utils.adjacency_formats import bipartite2undirected from sknetwork.utils.algorithm_base_class import Algorithm -from sknetwork.utils.checks import check_format, is_square, is_symmetric, check_weights -from sknetwork.utils.preprocessing import connected_components +from sknetwork.utils.checks import check_format, check_weights +from sknetwork.utils.preprocessing import is_connected from typing import Union class Spectral(Algorithm): - """Weighted spectral embedding of a graph + """Weighted spectral embedding of a graph. Parameters ---------- @@ -32,11 +33,16 @@ class Spectral(Algorithm): energy_scaling: bool (default=True) If ``True``, rescales each column of the embedding by dividing it by :math:`\\sqrt{\\lambda_i}`. Only valid if ``node_weights == 'degree'``. + force_biadjacency: bool (default=False) + Only relevant for symmetric inputs. Force the algorithm to treat the adjacency as a biadjacency + as it would do for asymmetric inputs. Attributes ---------- embedding_ : array, shape = (n_nodes, embedding_dimension) Embedding matrix of the nodes + features_ : array, shape = (m_nodes, embedding_dimension) + Only relevant for asymmetric inputs or if ``force_biadjacency==True``. eigenvalues_ : array, shape = (embedding_dimension) Smallest eigenvalues of the training matrix @@ -46,7 +52,8 @@ class Spectral(Algorithm): >>> graph = karate_club_graph() >>> spectral = Spectral(embedding_dimension=2) >>> spectral.fit(graph) - Spectral(embedding_dimension=2, node_weights='degree', low_rank_regularization=0.01, energy_scaling=True) + Spectral(embedding_dimension=2, node_weights='degree', low_rank_regularization=0.01, energy_scaling=True,\ + force_biadjacency=False) >>> spectral.embedding_.shape (34, 2) @@ -58,12 +65,18 @@ class Spectral(Algorithm): """ def __init__(self, embedding_dimension: int = 2, node_weights='degree', - low_rank_regularization: Union[None, float] = 0.01, energy_scaling: bool = True): + low_rank_regularization: Union[None, float] = 0.01, energy_scaling: bool = True, + force_biadjacency: bool = False): self.embedding_dimension = embedding_dimension self.node_weights = node_weights - self.low_rank_regularization = low_rank_regularization + if low_rank_regularization == 0: + self.low_rank_regularization = None + else: + self.low_rank_regularization = low_rank_regularization self.energy_scaling = energy_scaling + self.force_biadjacency = force_biadjacency self.embedding_ = None + self.features_ = None self.eigenvalues_ = None def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], node_weights=None, @@ -86,22 +99,20 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], node_weights=None adjacency = check_format(adjacency) n_nodes, m_nodes = adjacency.shape - if not is_square(adjacency): - raise ValueError("The adjacency matrix must be a square matrix.") - if connected_components(adjacency, directed=False)[0] > 1 and self.low_rank_regularization is None: + if self.low_rank_regularization is None and not is_connected(adjacency): if self.energy_scaling: raise ValueError('energy_scaling without low-rank regularization' 'is not compatible with a disconnected graph') else: - raise Warning("The graph is not connected and low-rank regularization is set to None." + raise Warning("The graph is not connected and low-rank regularization is not active." "This can cause errors in the computation of the embedding.") - if not is_symmetric(adjacency): - raise ValueError("The adjacency matrix is not symmetric.") if self.low_rank_regularization: - adjacency = SparseLR(adjacency, [(self.low_rank_regularization * np.ones(n_nodes), np.ones(n_nodes))]) + adjacency = SparseLR(adjacency, [(self.low_rank_regularization * np.ones(n_nodes), np.ones(m_nodes))]) + if m_nodes != n_nodes or self.force_biadjacency: + adjacency = bipartite2undirected(adjacency) # builds standard laplacian - degrees = adjacency.dot(np.ones(n_nodes)) + degrees = adjacency.dot(np.ones(adjacency.shape[1])) degree_matrix = sparse.diags(degrees, format='csr') laplacian = -(adjacency - degree_matrix) @@ -115,7 +126,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], node_weights=None laplacian = safe_sparse_dot(weight_matrix, safe_sparse_dot(laplacian, weight_matrix)) # spectral decomposition - n_components = min(self.embedding_dimension + 1, n_nodes - 1) + n_components = min(self.embedding_dimension + 1, min(n_nodes, m_nodes)) if randomized_decomposition: eigenvalues, eigenvectors = randomized_eig(laplacian, n_components, which='SM') else: @@ -126,4 +137,8 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], node_weights=None if self.energy_scaling and node_weights == 'degree': self.embedding_ /= np.sqrt(self.eigenvalues_) + + if self.embedding_.shape[0] > n_nodes: + self.features_ = self.embedding_[n_nodes:] + self.embedding_ = self.embedding_[:n_nodes] return self diff --git a/sknetwork/embedding/tests/test_embeddings.py b/sknetwork/embedding/tests/test_embeddings.py index 3b088d078..74a7f5248 100644 --- a/sknetwork/embedding/tests/test_embeddings.py +++ b/sknetwork/embedding/tests/test_embeddings.py @@ -40,3 +40,8 @@ def test_spectral(self): self.assertTrue(type(sp.eigenvalues_) == np.ndarray and len(sp.eigenvalues_) == 2) self.assertTrue(min(sp.eigenvalues_ >= 0)) self.assertTrue(max(sp.eigenvalues_ <= 2)) + + sp.fit(self.bipartite) + self.assertEqual(sp.embedding_.shape, (4, 2)) + self.assertEqual(sp.features_.shape, (3, 2)) + self.assertTrue(type(sp.eigenvalues_) == np.ndarray and len(sp.eigenvalues_) == 2) From 4605aafb999bba7666705f217d05b0d1117bb3a3 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Tue, 9 Jul 2019 13:29:04 +0200 Subject: [PATCH 03/92] Updated Tutorials --- docs/tutorials/clustering_example.ipynb | 28 +++++++++++----------- docs/tutorials/pagerank.ipynb | 32 ++++++++++++------------- 2 files changed, 30 insertions(+), 30 deletions(-) diff --git a/docs/tutorials/clustering_example.ipynb b/docs/tutorials/clustering_example.ipynb index 1673b2d78..1d4543feb 100644 --- a/docs/tutorials/clustering_example.ipynb +++ b/docs/tutorials/clustering_example.ipynb @@ -12,8 +12,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T13:43:34.612148Z", - "start_time": "2019-07-04T13:43:33.822571Z" + "end_time": "2019-07-09T11:27:07.618442Z", + "start_time": "2019-07-09T11:27:06.888532Z" } }, "outputs": [], @@ -28,8 +28,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T13:43:34.629593Z", - "start_time": "2019-07-04T13:43:34.615047Z" + "end_time": "2019-07-09T11:27:07.938019Z", + "start_time": "2019-07-09T11:27:07.920535Z" } }, "outputs": [ @@ -55,15 +55,15 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T13:43:35.505629Z", - "start_time": "2019-07-04T13:43:34.631947Z" + "end_time": "2019-07-09T11:27:09.211595Z", + "start_time": "2019-07-09T11:27:08.440159Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, "execution_count": 3, @@ -81,8 +81,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T13:43:35.748657Z", - "start_time": "2019-07-04T13:43:35.508804Z" + "end_time": "2019-07-09T11:27:10.907094Z", + "start_time": "2019-07-09T11:27:10.696188Z" } }, "outputs": [], @@ -95,8 +95,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T13:43:35.754701Z", - "start_time": "2019-07-04T13:43:35.750594Z" + "end_time": "2019-07-09T11:27:11.402102Z", + "start_time": "2019-07-09T11:27:11.396042Z" } }, "outputs": [], @@ -109,14 +109,14 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T13:43:37.472060Z", - "start_time": "2019-07-04T13:43:37.380150Z" + "end_time": "2019-07-09T11:27:14.032509Z", + "start_time": "2019-07-09T11:27:13.945785Z" } }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index 05ed3a6e0..b2e4eb20d 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -12,8 +12,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T14:56:35.568594Z", - "start_time": "2019-07-04T14:56:34.876247Z" + "end_time": "2019-07-09T11:28:05.300374Z", + "start_time": "2019-07-09T11:28:04.695417Z" } }, "outputs": [], @@ -28,8 +28,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T14:56:35.587400Z", - "start_time": "2019-07-04T14:56:35.570671Z" + "end_time": "2019-07-09T11:28:06.573450Z", + "start_time": "2019-07-09T11:28:06.557327Z" } }, "outputs": [ @@ -56,8 +56,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T14:56:35.591814Z", - "start_time": "2019-07-04T14:56:35.589137Z" + "end_time": "2019-07-09T11:28:07.574978Z", + "start_time": "2019-07-09T11:28:07.567783Z" } }, "outputs": [], @@ -71,15 +71,15 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T14:56:36.475253Z", - "start_time": "2019-07-04T14:56:35.605710Z" + "end_time": "2019-07-09T11:28:09.342856Z", + "start_time": "2019-07-09T11:28:08.486826Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" ] }, "execution_count": 4, @@ -99,8 +99,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2019-07-04T14:56:36.490724Z", - "start_time": "2019-07-04T14:56:36.485188Z" + "end_time": "2019-07-09T11:28:10.944232Z", + "start_time": "2019-07-09T11:28:10.935820Z" } }, "outputs": [ @@ -108,11 +108,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Cosette 0.7255542153481236\n", - "Valjean 0.20614987398279871\n", - "Marius 0.03528449961404959\n", - "Mme Thenardier 0.006620011149296408\n", - "Gillenormand 0.005435700536394272\n" + "Cosette 0.8122398261884947\n", + "Valjean 0.11506081906205759\n", + "Marius 0.03912543863864285\n", + "Mme Thenardier 0.007464167768533003\n", + "Gillenormand 0.0060657134034498945\n" ] } ], From c42622d6a70e6ff1769a91f01f06f5ab417bfe7d Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 9 Jul 2019 15:05:19 +0200 Subject: [PATCH 04/92] Notebook Louvain --- docs/tutorials/clustering_example.ipynb | 6624 ----------------------- 1 file changed, 6624 deletions(-) delete mode 100644 docs/tutorials/clustering_example.ipynb diff --git a/docs/tutorials/clustering_example.ipynb b/docs/tutorials/clustering_example.ipynb deleted file mode 100644 index 1d4543feb..000000000 --- a/docs/tutorials/clustering_example.ipynb +++ /dev/null @@ -1,6624 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Using Louvain to find communities in graphs" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:07.618442Z", - "start_time": "2019-07-09T11:27:06.888532Z" - } - }, - "outputs": [], - "source": [ - "from sknetwork.clustering import Louvain\n", - "from sknetwork.toy_graphs import karate_club_graph\n", - "from networkx import Graph, draw" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:07.938019Z", - "start_time": "2019-07-09T11:27:07.920535Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "<34x34 sparse matrix of type ''\n", - "\twith 156 stored elements in Compressed Sparse Row format>" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "adj = karate_club_graph()\n", - "adj" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:09.211595Z", - "start_time": "2019-07-09T11:27:08.440159Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "louvain = Louvain()\n", - "louvain.fit(adj)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:10.907094Z", - "start_time": "2019-07-09T11:27:10.696188Z" - } - }, - "outputs": [], - "source": [ - "G = Graph(karate_club_graph())" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:11.402102Z", - "start_time": "2019-07-09T11:27:11.396042Z" - } - }, - "outputs": [], - "source": [ - "colors = ['red','green','yellow','purple']" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:14.032509Z", - "start_time": "2019-07-09T11:27:13.945785Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "draw(G, node_color = [colors[louvain.labels_[i]] for i in range(34)])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - }, - "toc": { - "base_numbering": 1, - "nav_menu": {}, - "number_sections": true, - "sideBar": true, - "skip_h1_title": false, - "title_cell": "Table of Contents", - "title_sidebar": "Contents", - "toc_cell": false, - "toc_position": {}, - "toc_section_display": true, - "toc_window_display": false - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "state": { - "0a13fb35a34143c5ac61884113699f99": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "id": "8af1209b-c2a8-45a1-a592-3c780a5a4027", - "source": "0", - "target": "1", - "weight": 1 - } - }, - { - "data": { - "id": "f06735ba-0929-48be-8571-440a05ef1997", - "source": "0", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "a45f9d5e-6593-4a1f-abbb-c966be29e825", - "source": "0", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "d840b8c7-ef62-4a61-bbfc-91071864bd07", - "source": "0", - "target": "4", - "weight": 1 - } - }, - { - "data": { - "id": "5e7924af-37c1-4217-806a-abd8892b2f0d", - "source": "0", - "target": "5", - "weight": 1 - } - }, - { - "data": { - "id": "9647d9ce-a110-422b-b98a-c399cadc79f7", - "source": "0", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "ec886efd-24b7-4c46-8cf2-8ff89b285a93", - "source": "0", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "7f274155-be57-4024-8888-50c119f32d0e", - "source": "0", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "3a113d42-64dc-4e99-bfd7-ee7929d6899e", - "source": "0", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "eee3d5e6-0752-4c40-b8f8-e937174fc4ef", - "source": "0", - "target": "11", - "weight": 1 - } - }, - { - "data": { - "id": "bd9d2a89-9568-47af-ade9-0cad2d812d05", - "source": "0", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "3fd83b30-add5-477b-b4c4-b748945a951c", - "source": "0", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "622f4cf2-e2bc-4379-ac66-fa7a3ebc561e", - "source": "0", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "66cbc93e-a677-45ed-ae2f-09aadbb32b32", - "source": "0", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "255abc79-81d1-4b1b-a8da-f0f3ad096dab", - "source": "0", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "2417e2ca-a76b-4fcb-a0a7-f14db8b0e28c", - "source": "0", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "e67cf4ed-a8b0-448b-b609-f710dc8fd701", - "source": "1", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "170cad6e-02fb-4fe4-83ae-49faa3ce6e44", - "source": "1", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "f11b6a7d-84d0-46bb-b90d-db9ccbdfc65a", - "source": "1", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "993d6539-e92f-4356-8eff-b332ee302560", - "source": "1", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "62abe227-fd60-47aa-934f-7bda5f0e8351", - "source": "1", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "35172c25-f080-4c0c-abfe-e648c48f9b95", - "source": "1", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "daee017b-b1a8-4bfc-8876-37a7a1bf8e90", - "source": "1", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "45acb4dc-9345-4f48-bbee-8a06db88e00c", - "source": "1", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "a330d16c-ea2b-4834-96ee-abdedb6733bc", - "source": "2", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "e271c862-0043-40c6-9f19-a6d70e210f26", - "source": "2", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "99843c7e-c8bb-4506-9180-39a562971155", - "source": "2", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "c7e0fa18-ea34-4ac5-b2a8-1615f21bfac5", - "source": "2", - "target": "9", - "weight": 1 - } - }, - { - "data": { - "id": "071e309f-5f0b-4e47-809e-b21a26a75685", - "source": "2", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "19b3f084-cf2e-406b-b880-5d7e2f290b23", - "source": "2", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "d375b865-1541-49d2-a35c-e4d03c666159", - "source": "2", - "target": "28", - "weight": 1 - } - }, - { - "data": { - "id": "5f7f2bdf-1f73-4026-a5b9-4350effa8295", - "source": "2", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "69b809e1-4c9d-4cbc-a629-4d933f0444ae", - "source": "3", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "b187ff06-710b-4e16-a0f0-50a3d7c64aab", - "source": "3", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "20d58914-3941-4a25-9c51-484aae5edac2", - "source": "3", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "f98d2f44-4bad-4b00-a2b0-a9b971f04383", - "source": "4", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "54eca3f4-7acd-4aff-83d7-f431cd82397b", - "source": "4", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "9080245a-7f25-4cd5-95c2-04bdc9a09bd3", - "source": "5", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "f5a5eba9-925e-4e89-889d-ac1d0e77c012", - "source": "5", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "da6efa82-50e4-493a-ab22-750884cfe860", - "source": "5", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "830c6407-f546-4ae6-b310-6158bd857b75", - "source": "6", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "aaaf29ff-9024-48c4-9323-85e2088724bb", - "source": "8", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "bf9ece80-439e-4b9b-926c-f16c8ce217c1", - "source": "8", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "337e0e94-918e-4716-b827-34cea12bc9f9", - "source": "8", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "5b1cacda-225d-4c86-b987-f175c1a51287", - "source": "9", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "c018e5c6-6d90-467f-97c4-c0c387bff2fe", - "source": "13", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "d539b814-41a4-4c68-abbe-ce32fb7a0bb5", - "source": "14", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "1610ea43-042f-4fee-9f11-9d7a8fe4fa72", - "source": "14", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "03f4a8aa-1882-4572-9970-4fff282155c4", - "source": "15", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "08ede74d-8398-450d-b527-8b2e51c2c2cc", - "source": "15", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "ef6f89c9-4158-4914-9a05-5c34fd0310bf", - "source": "18", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "514b0524-3967-40af-b924-bd3f0a0fd32a", - "source": "18", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "02f46a12-065c-4f11-a31e-3871e3c6ee6d", - "source": "19", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "2d796471-3428-4558-ba26-b0a0201f36c4", - "source": "20", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "edcd2749-8926-4326-85e4-b9a89547359f", - "source": "20", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "eca2645b-7c3b-4e15-82b0-cf28cdabcfcd", - "source": "22", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "60f8e69e-d66b-4feb-a256-19c577b0741d", - "source": "22", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "97dc3e05-be38-4b36-be0e-f6f19e05b9a8", - "source": "23", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "869f4c98-502a-4e18-8f8b-c0542b4b94df", - "source": "23", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "36a1bfbb-25f9-4b1b-b45f-cc9e0636f61d", - "source": "23", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "466b4920-2991-443c-b5d6-90483c578dc1", - "source": "23", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "1d382449-4e47-4f92-b5b9-07091e3a7aa6", - "source": "23", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "4a52e4ae-ed6f-49f8-9107-06714102ccd5", - "source": "24", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "bfd2a32a-a45f-47d6-933d-4a8c123d7710", - "source": "24", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "b1c050f1-e87b-4a33-bfbd-8af748bfbbc8", - "source": "24", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "31e1fbc4-77be-45c5-b1e8-91b90577e050", - "source": "25", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "cafae5e9-a154-4660-8437-bf66d07c658a", - "source": "26", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "5d4c8d68-e8c8-41f1-a4e2-cd2548bca91d", - "source": "26", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "0f2e986d-0661-4a5c-9244-7fcb3d4ead9c", - "source": "27", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "07780435-91c5-4ad3-8997-35af47771285", - "source": "28", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "c7da7d3b-3a99-46eb-b2b6-a1d804cd02a1", - "source": "28", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "462e607a-0a56-4c96-aca9-5df6d52801ad", - "source": "29", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "47b70469-86fc-447e-bbb1-778410aaf141", - "source": "29", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "99628c5b-d324-4504-aac6-a29128b3a7de", - "source": "30", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "62a8d051-0eff-43c8-8655-ba1829ff869c", - "source": "30", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "dac9e4a1-6a8c-4fd3-987c-462db24f1e46", - "source": "31", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "d94b6331-6717-4bea-b384-cc47fbb1e826", - "source": "31", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "ab7f0d78-ffbf-4971-807d-b28a5c054dbb", - "source": "32", - "target": "33", - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - }, - { - "data": { - "id": "5", - "name": "5", - "value": 5 - } - }, - { - "data": { - "id": "6", - "name": "6", - "value": 6 - } - }, - { - "data": { - "id": "7", - "name": "7", - "value": 7 - } - }, - { - "data": { - "id": "8", - "name": "8", - "value": 8 - } - }, - { - "data": { - "id": "9", - "name": "9", - "value": 9 - } - }, - { - "data": { - "id": "10", - "name": "10", - "value": 10 - } - }, - { - "data": { - "id": "11", - "name": "11", - "value": 11 - } - }, - { - "data": { - "id": "12", - "name": "12", - "value": 12 - } - }, - { - "data": { - "id": "13", - "name": "13", - "value": 13 - } - }, - { - "data": { - "id": "14", - "name": "14", - "value": 14 - } - }, - { - "data": { - "id": "15", - "name": "15", - "value": 15 - } - }, - { - "data": { - "id": "16", - "name": "16", - "value": 16 - } - }, - { - "data": { - "id": "17", - "name": "17", - "value": 17 - } - }, - { - "data": { - "id": "18", - "name": "18", - "value": 18 - } - }, - { - "data": { - "id": "19", - "name": "19", - "value": 19 - } - }, - { - "data": { - "id": "20", - "name": "20", - "value": 20 - } - }, - { - "data": { - "id": "21", - "name": "21", - "value": 21 - } - }, - { - "data": { - "id": "22", - "name": "22", - "value": 22 - } - }, - { - "data": { - "id": "23", - "name": "23", - "value": 23 - } - }, - { - "data": { - "id": "24", - "name": "24", - "value": 24 - } - }, - { - "data": { - "id": "25", - "name": "25", - "value": 25 - } - }, - { - "data": { - "id": "26", - "name": "26", - "value": 26 - } - }, - { - "data": { - "id": "27", - "name": "27", - "value": 27 - } - }, - { - "data": { - "id": "28", - "name": "28", - "value": 28 - } - }, - { - "data": { - "id": "29", - "name": "29", - "value": 29 - } - }, - { - "data": { - "id": "30", - "name": "30", - "value": 30 - } - }, - { - "data": { - "id": "31", - "name": "31", - "value": 31 - } - }, - { - "data": { - "id": "32", - "name": "32", - "value": 32 - } - }, - { - "data": { - "id": "33", - "name": "33", - "value": 33 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_9f5d610348fb4ffca5c0c3ee90b5f7cf", - "layout_name": "", - "visual_style": null - } - }, - "2c77f8b3001b4da89d97b25878ed20ff": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "43d52ad101dc4a50a64b000e2dfcd630": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "4e268e1b29844de6baae0c6f6b29ef26": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "id": "085aa101-e3f7-4fd4-b9b1-a8c1c87b0829", - "source": "0", - "target": "1", - "weight": 1 - } - }, - { - "data": { - "id": "e149c092-b964-4ddd-ba38-ab18720d7d65", - "source": "0", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "75efd62e-ab34-46db-a97f-9ec929afe1ac", - "source": "0", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "ad5c7966-e2ee-40a4-ab50-3896f501fe32", - "source": "0", - "target": "4", - "weight": 1 - } - }, - { - "data": { - "id": "45269174-3638-43f6-9c2c-6aa19a1e996a", - "source": "0", - "target": "5", - "weight": 1 - } - }, - { - "data": { - "id": "024ae065-d756-4307-ad12-a648b77ef44a", - "source": "0", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "5b4df428-66c0-4b1d-bf20-235d7d346311", - "source": "0", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "93d66563-a88c-4d3d-9bc0-b13062618c7c", - "source": "0", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "b647b0c9-175e-415d-81e5-2902bd642265", - "source": "0", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "d54c650a-74e5-48bf-84bd-f528e5e489f2", - "source": "0", - "target": "11", - "weight": 1 - } - }, - { - "data": { - "id": "65b7d31a-2bb4-463a-906b-68275b87b4d8", - "source": "0", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "b5bd1370-e0c7-430a-8dbb-a42e4138e2f0", - "source": "0", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "39b84ca5-14b4-4e55-903a-e31d20c2aa3b", - "source": "0", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "a5f4209e-d1f4-4823-8018-58d499b330f1", - "source": "0", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "c7e0799f-ac77-4d53-92ac-53262518dc8c", - "source": "0", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "bd141559-2cd0-49a7-9af0-d5ea33fd1ec1", - "source": "0", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "0d08c6a9-16a5-4cbf-ad60-ceea9388d7dd", - "source": "1", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "dddba5a7-86c4-437d-a194-8a17f23e0945", - "source": "1", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "3c56f40a-5531-4d13-9658-48aaa648ad79", - "source": "1", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "06a93c6e-47f5-4cda-8156-ed9a246c9a20", - "source": "1", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "612fa6f9-ddf1-4b82-833d-83291ffd73ad", - "source": "1", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "6f41cebc-6a62-407f-aef1-73825aee8f5e", - "source": "1", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "6368fb74-9eeb-4d1f-b945-d55f591522e7", - "source": "1", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "d1b0e70e-65a1-40bb-9ef1-49d5ec634380", - "source": "1", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "e1789f81-2667-41d3-9c08-7df10a59fef5", - "source": "2", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "6323ed2f-b5f1-49ba-851f-a072b8c3775b", - "source": "2", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "cf547378-ce49-4fa2-8c91-a013afe26ca6", - "source": "2", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "5e25d24a-4fe8-4d32-804a-c951b0f3416b", - "source": "2", - "target": "9", - "weight": 1 - } - }, - { - "data": { - "id": "4ac7fe0e-51f3-492a-ad59-ddd618cb42ce", - "source": "2", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "68761348-e829-4712-bd57-b5548c147493", - "source": "2", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "e83adc4a-12ed-4726-860d-d5fc96ec01b7", - "source": "2", - "target": "28", - "weight": 1 - } - }, - { - "data": { - "id": "69ce92df-c25f-468c-a0ca-15705b559859", - "source": "2", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "833db849-73cc-4a91-a9e5-6d5c8c7f4a5e", - "source": "3", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "589d0254-b4c0-44a6-9b13-4b2eec6c3492", - "source": "3", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "cd36b6d1-fe97-4a02-8be7-48750b7b239d", - "source": "3", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "f8d70b77-7092-4add-9f52-94ac87c18edb", - "source": "4", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "6135e50c-0ef5-41a9-834d-ab323450fe49", - "source": "4", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "fd4ff6d9-20bf-4b8a-ad31-3efa9e340ac7", - "source": "5", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "647ad804-74e2-4f53-b208-c037596619fe", - "source": "5", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "b576decc-47f9-4633-951e-7591bb48a6fc", - "source": "5", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "f854289e-8431-4a4f-b5f6-af3a5b760686", - "source": "6", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "1e51369f-c4db-4ebf-9f56-8b0831c7e53a", - "source": "8", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "082e1a14-3fed-43c6-9536-5111a7bd48fb", - "source": "8", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "a3411782-eefa-4a96-8241-e4dee9fa231b", - "source": "8", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "952918ea-c9b1-4cc7-acbf-57bb88208ada", - "source": "9", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "f9d06ad7-68ba-4490-9dd6-cf54e557a8ab", - "source": "13", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "8b9b2c05-8638-4e1f-a756-be29c6879959", - "source": "14", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "ad246b90-c307-402c-86aa-b1504c846df3", - "source": "14", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "364c68cb-87b1-49f0-a340-19dbba851841", - "source": "15", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "4cf6353c-ab7d-4353-8855-afe3f494c145", - "source": "15", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "1a99746d-c573-4195-9f67-e17eb5182d08", - "source": "18", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "50f9479f-29d6-4d63-be18-8a1a91dabd0d", - "source": "18", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "188f452d-074a-4210-8e8b-ab85fd3a993b", - "source": "19", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "d1b83182-0ccb-403a-a42d-afa8dc90f5c6", - "source": "20", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "c2cc2f11-ae7d-4c2f-8f7d-83fec6b81d85", - "source": "20", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "9355ea91-be49-4650-b322-8018faa15404", - "source": "22", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "463cd3e4-1e85-4f1a-9b82-40bb9e8ba17c", - "source": "22", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "a2341883-f641-487f-975f-fb15a2d98439", - "source": "23", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "d40bfd18-7151-47d6-ac3a-2c240cc47e51", - "source": "23", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "9b87f438-8282-4251-b36f-d9e291c3ec72", - "source": "23", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "16424e1c-a663-4729-8f7a-087731569c47", - "source": "23", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "fa00c17b-b5e0-40a4-a373-7a781fd6f257", - "source": "23", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "c3e015d4-ecb5-4c6d-a648-60102d3262a3", - "source": "24", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "c5cd9dcd-5226-4d18-a4f7-6b0f95fbd218", - "source": "24", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "da2e9560-4583-4e68-9b9f-4806f02982a0", - "source": "24", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "81b6f8c1-e327-481e-aa4a-bdff154ab642", - "source": "25", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "ba9019bd-2ca6-4aa2-ab99-64a2c67e067a", - "source": "26", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "76ec270a-0062-4ce6-bc72-6644a3b2ca3a", - "source": "26", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "c1c7721b-3ce5-4bb4-b6ca-c293184e4c67", - "source": "27", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "79d6053a-ed86-4fcc-8ac8-5935976e0793", - "source": "28", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "fe6c5aa6-f3af-4293-9289-44d95671d12f", - "source": "28", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "5b6015e1-bbfa-4898-b56e-72a25f7ef205", - "source": "29", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "14ebd0af-6647-4c9e-8543-d515787ae3be", - "source": "29", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "70ced8a7-1b57-4a17-a782-a2760651efb4", - "source": "30", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "34f84f00-9419-4835-9375-b334950b6fa2", - "source": "30", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "e34fd8c1-6369-4b5c-b0e9-5215de67e6e3", - "source": "31", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "75ebf962-1627-412a-876b-0b3640e11cdc", - "source": "31", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "f4dca068-f3a2-4dec-b185-62a1bf667298", - "source": "32", - "target": "33", - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - }, - { - "data": { - "id": "5", - "name": "5", - "value": 5 - } - }, - { - "data": { - "id": "6", - "name": "6", - "value": 6 - } - }, - { - "data": { - "id": "7", - "name": "7", - "value": 7 - } - }, - { - "data": { - "id": "8", - "name": "8", - "value": 8 - } - }, - { - "data": { - "id": "9", - "name": "9", - "value": 9 - } - }, - { - "data": { - "id": "10", - "name": "10", - "value": 10 - } - }, - { - "data": { - "id": "11", - "name": "11", - "value": 11 - } - }, - { - "data": { - "id": "12", - "name": "12", - "value": 12 - } - }, - { - "data": { - "id": "13", - "name": "13", - "value": 13 - } - }, - { - "data": { - "id": "14", - "name": "14", - "value": 14 - } - }, - { - "data": { - "id": "15", - "name": "15", - "value": 15 - } - }, - { - "data": { - "id": "16", - "name": "16", - "value": 16 - } - }, - { - "data": { - "id": "17", - "name": "17", - "value": 17 - } - }, - { - "data": { - "id": "18", - "name": "18", - "value": 18 - } - }, - { - "data": { - "id": "19", - "name": "19", - "value": 19 - } - }, - { - "data": { - "id": "20", - "name": "20", - "value": 20 - } - }, - { - "data": { - "id": "21", - "name": "21", - "value": 21 - } - }, - { - "data": { - "id": "22", - "name": "22", - "value": 22 - } - }, - { - "data": { - "id": "23", - "name": "23", - "value": 23 - } - }, - { - "data": { - "id": "24", - "name": "24", - "value": 24 - } - }, - { - "data": { - "id": "25", - "name": "25", - "value": 25 - } - }, - { - "data": { - "id": "26", - "name": "26", - "value": 26 - } - }, - { - "data": { - "id": "27", - "name": "27", - "value": 27 - } - }, - { - "data": { - "id": "28", - "name": "28", - "value": 28 - } - }, - { - "data": { - "id": "29", - "name": "29", - "value": 29 - } - }, - { - "data": { - "id": "30", - "name": "30", - "value": 30 - } - }, - { - "data": { - "id": "31", - "name": "31", - "value": 31 - } - }, - { - "data": { - "id": "32", - "name": "32", - "value": 32 - } - }, - { - "data": { - "id": "33", - "name": "33", - "value": 33 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_f8204cd1c2304f2ba9f1171c380efd8e", - "layout_name": "", - "visual_style": null - } - }, - "5365fba4aa4f46fca61dd346af8590df": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "source": 0, - "target": 1, - "weight": 1 - } - }, - { - "data": { - "source": 0, - "target": 4, - "weight": 1 - } - }, - { - "data": { - "source": 1, - "target": 2, - "weight": 1 - } - }, - { - "data": { - "source": 1, - "target": 4, - "weight": 1 - } - }, - { - "data": { - "source": 2, - "target": 3, - "weight": 1 - } - }, - { - "data": { - "source": 3, - "target": 4, - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_c0812aa976f04d61beafb16f23710dd7", - "layout_name": "", - "visual_style": null - } - }, - "53e66b8310a943f59024fdf51d0b0aef": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "8194e43918234deca734c36e6f545093": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "id": "620f04e8-c6ee-470e-930b-6d0240430634", - "source": "0", - "target": "1", - "weight": 1 - } - }, - { - "data": { - "id": "68d58a21-c636-4671-896c-7c4a8e5d98b7", - "source": "0", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "8b198916-3067-44db-9ed4-b0da60de22c8", - "source": "0", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "f9467cb2-4761-4683-b105-450c13597fbc", - "source": "0", - "target": "4", - "weight": 1 - } - }, - { - "data": { - "id": "3d3ba002-9bb4-4236-be65-4aa3108e60ec", - "source": "0", - "target": "5", - "weight": 1 - } - }, - { - "data": { - "id": "9f4b0ce0-3802-46aa-9506-529c30d959be", - "source": "0", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "be99d84b-fd72-47b7-829c-844084a17bd8", - "source": "0", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "bd00d3e1-cd2d-4c2b-bba6-b9652183ec73", - "source": "0", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "34bb9318-c802-483a-b004-1f171ee3ec8e", - "source": "0", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "5aa8c4d9-ca9b-4d4d-a645-f11a6ddea783", - "source": "0", - "target": "11", - "weight": 1 - } - }, - { - "data": { - "id": "7b72fc84-cc3b-4d62-b531-ced96562989c", - "source": "0", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "b570f07d-4d71-46d6-bb84-0c36f52a2e2a", - "source": "0", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "0013a18f-86a5-4c44-b719-95b333f15a09", - "source": "0", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "cab9df27-fc49-4551-b4eb-fda81eb0796d", - "source": "0", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "103a1a0c-5e26-4fb9-b9db-8c16dd3c11d8", - "source": "0", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "34c56149-2fce-40a3-80a0-35850026c838", - "source": "0", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "85becf7b-6a44-427a-a3f6-edcdf7ecb3a1", - "source": "1", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "258a019b-d339-44b4-b5b0-46f7753c6675", - "source": "1", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "f3ab35d4-0adf-42f6-8c5b-12e82359889e", - "source": "1", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "5b5c451a-02b5-45ea-aff4-a07da2ff8500", - "source": "1", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "6ea4a4fa-1513-40b9-ba32-19286a2053ec", - "source": "1", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "89d18912-eb43-4cd8-99b7-53939f460023", - "source": "1", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "fdb41128-e261-4def-b8b9-dc0fd30b9495", - "source": "1", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "5ba5ddc6-7bb8-493e-9742-168f4dc0680f", - "source": "1", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "a6f41c9a-3c81-47ce-96c9-e66bb32cfddf", - "source": "2", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "d7628d0b-6da6-42e7-9bfa-250c7a0a5187", - "source": "2", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "19efee0b-c521-48c4-b9f5-b6d4ec13ddb9", - "source": "2", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "28317596-3de6-4cf5-a929-68d0f9940b7d", - "source": "2", - "target": "9", - "weight": 1 - } - }, - { - "data": { - "id": "bee0bd63-9cb7-4aa8-8e07-0df52f9a9183", - "source": "2", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "3eabf4b5-649f-4904-8e7b-68f9c0bfa2d3", - "source": "2", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "50e7b0aa-86b8-4509-b454-96fdf99a1419", - "source": "2", - "target": "28", - "weight": 1 - } - }, - { - "data": { - "id": "53f4bad1-b678-44ce-b629-19b0c2ae0073", - "source": "2", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "88b02e59-109e-484f-a1bd-2edc638c61b8", - "source": "3", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "3ea26939-66fd-4883-8167-78b496d7f820", - "source": "3", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "52949a82-d230-4734-b60e-000a114412b2", - "source": "3", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "34d8f605-46be-4833-aeb0-7b34569458f4", - "source": "4", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "a781407f-6ea9-447e-a4a7-78d5eba4382e", - "source": "4", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "30f3d5b9-5c50-4f4f-b4fa-0aefd6b4edd3", - "source": "5", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "b8e6cccc-6f69-40ab-9de9-1bf9f40ab4ed", - "source": "5", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "ac5a01e6-af66-4caf-989c-cd93e0290ea8", - "source": "5", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "bba44e08-f0f7-499c-9d81-1ba72230effd", - "source": "6", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "300d0502-3bfe-4ebc-9499-2e6701f0c836", - "source": "8", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "facbf0ae-1014-4905-8413-eb9a500a79f6", - "source": "8", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "147054c5-1385-4a3c-a749-d8c23ec01905", - "source": "8", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "6d87a9cc-5fd0-4bb0-975e-a9d43f88ed0d", - "source": "9", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "1a9e116f-0959-435f-bd8b-dfd7b7f127f0", - "source": "13", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "7c348d4b-0358-4113-bee7-e5e69165b34d", - "source": "14", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "ed89a088-7900-4095-92ba-587ce431b388", - "source": "14", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "91479544-bc11-4479-b888-aad10e8e5a94", - "source": "15", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "de69dc69-febb-4031-b60f-8039788251ab", - "source": "15", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "ba567e3f-5b30-42d9-8d07-ee53e7b6bbc6", - "source": "18", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "c4dbe0e5-43d0-4c8f-89bb-f8115a6d2645", - "source": "18", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "560a3062-4624-48ff-8538-c625cfd58958", - "source": "19", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "457410bb-dd44-4b18-a7ff-8ed4dc55071d", - "source": "20", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "6e781602-9d97-4765-9607-9bb1c3f43bf8", - "source": "20", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "33683a53-2a55-4e82-8144-e4dac89d1553", - "source": "22", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "38ae90bb-00b9-4977-9e13-be34ce92a8af", - "source": "22", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "6ed65ab5-f7f0-456e-a894-1a1247bda903", - "source": "23", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "07ade42a-2bcf-42d3-b11d-dc3a938819da", - "source": "23", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "3b1b1035-3177-45aa-b37d-48b971bcf3c9", - "source": "23", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "b7f43b21-32ca-43ed-97dd-19fa696207ae", - "source": "23", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "0176113c-be0a-4472-96bb-88aac0a4a2fd", - "source": "23", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "3cb29b1d-b369-46c7-bbb4-c99c54d9fd24", - "source": "24", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "b5db8d5e-e1ca-43ff-a2c7-5fc7ca9e38c8", - "source": "24", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "4e9277a3-0777-45b1-a45a-69e95344799f", - "source": "24", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "be87ef53-de3a-4b13-9773-fcb78ef9ea34", - "source": "25", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "c1a58aa7-212e-4cb4-b8a2-50af44656cad", - "source": "26", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "624417f6-e4ef-401f-a2cd-14248912c8fe", - "source": "26", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "41c33479-b634-4548-8ecb-5806bc26e6c2", - "source": "27", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "6a34e049-6cee-4e4a-9931-3343a810a51a", - "source": "28", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "a7406893-0852-404a-8119-648ddcd56664", - "source": "28", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "98fa5692-76da-41e3-8521-e8b84a01a435", - "source": "29", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "f6095009-2afa-48b1-8e43-7c372def30dc", - "source": "29", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "2ee4ce25-ddc0-4ebf-94bd-2889fcd49ddb", - "source": "30", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "b2103473-cff6-478c-87f9-4791b917b41e", - "source": "30", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "21d0de12-d17b-43b6-8984-e1784b23f2b8", - "source": "31", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "75bf7654-0d11-4da5-a801-f869a7c9d710", - "source": "31", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "8cf059be-1900-4632-8730-d0da7fe91ba2", - "source": "32", - "target": "33", - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - }, - { - "data": { - "id": "5", - "name": "5", - "value": 5 - } - }, - { - "data": { - "id": "6", - "name": "6", - "value": 6 - } - }, - { - "data": { - "id": "7", - "name": "7", - "value": 7 - } - }, - { - "data": { - "id": "8", - "name": "8", - "value": 8 - } - }, - { - "data": { - "id": "9", - "name": "9", - "value": 9 - } - }, - { - "data": { - "id": "10", - "name": "10", - "value": 10 - } - }, - { - "data": { - "id": "11", - "name": "11", - "value": 11 - } - }, - { - "data": { - "id": "12", - "name": "12", - "value": 12 - } - }, - { - "data": { - "id": "13", - "name": "13", - "value": 13 - } - }, - { - "data": { - "id": "14", - "name": "14", - "value": 14 - } - }, - { - "data": { - "id": "15", - "name": "15", - "value": 15 - } - }, - { - "data": { - "id": "16", - "name": "16", - "value": 16 - } - }, - { - "data": { - "id": "17", - "name": "17", - "value": 17 - } - }, - { - "data": { - "id": "18", - "name": "18", - "value": 18 - } - }, - { - "data": { - "id": "19", - "name": "19", - "value": 19 - } - }, - { - "data": { - "id": "20", - "name": "20", - "value": 20 - } - }, - { - "data": { - "id": "21", - "name": "21", - "value": 21 - } - }, - { - "data": { - "id": "22", - "name": "22", - "value": 22 - } - }, - { - "data": { - "id": "23", - "name": "23", - "value": 23 - } - }, - { - "data": { - "id": "24", - "name": "24", - "value": 24 - } - }, - { - "data": { - "id": "25", - "name": "25", - "value": 25 - } - }, - { - "data": { - "id": "26", - "name": "26", - "value": 26 - } - }, - { - "data": { - "id": "27", - "name": "27", - "value": 27 - } - }, - { - "data": { - "id": "28", - "name": "28", - "value": 28 - } - }, - { - "data": { - "id": "29", - "name": "29", - "value": 29 - } - }, - { - "data": { - "id": "30", - "name": "30", - "value": 30 - } - }, - { - "data": { - "id": "31", - "name": "31", - "value": 31 - } - }, - { - "data": { - "id": "32", - "name": "32", - "value": 32 - } - }, - { - "data": { - "id": "33", - "name": "33", - "value": 33 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_53e66b8310a943f59024fdf51d0b0aef", - "layout_name": "", - "visual_style": null - } - }, - "87466e27c8364bb6b3ee09f251635653": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "id": "e6b5a987-0a09-41c6-aa59-6744980866b9", - "source": "0", - "target": "1", - "weight": 1 - } - }, - { - "data": { - "id": "dbfbdeda-04d9-47ef-9086-73a087f63230", - "source": "0", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "d04b685e-cf78-4f66-80c5-81964d1fe12b", - "source": "0", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "e3ef850a-25cb-455b-ae55-d11950a78f8f", - "source": "0", - "target": "4", - "weight": 1 - } - }, - { - "data": { - "id": "401fa79f-898a-4d17-9269-01a18805a7fe", - "source": "0", - "target": "5", - "weight": 1 - } - }, - { - "data": { - "id": "748dd0c0-7566-4ac5-95fe-96d2c988e748", - "source": "0", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "774f6f0d-94a4-4ac1-abc5-b516b177cebd", - "source": "0", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "765d1e0b-1146-4b8d-881d-1bf547cdc3d6", - "source": "0", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "56e43c73-9121-4343-880d-a5bf08112893", - "source": "0", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "4251b760-3a67-4442-9fc6-b04fe2b3d660", - "source": "0", - "target": "11", - "weight": 1 - } - }, - { - "data": { - "id": "23920fbb-a90f-44a2-a65b-ed52a26f2dde", - "source": "0", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "86aab285-a5e0-4548-b9e9-f7434fa0da2e", - "source": "0", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "de9029f7-9546-423b-bf07-17fd5df4630d", - "source": "0", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "dd9cd57f-62fa-4c2f-ae4d-00ab87bcb7c1", - "source": "0", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "aed6dcae-120a-489c-b52c-1c9713cf1720", - "source": "0", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "eb45eefb-923e-4ad0-b7d5-fe54a323c958", - "source": "0", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "1e552ed4-49a7-48b4-b913-cd4624dd0321", - "source": "1", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "bbdc6093-e158-4943-8f07-1c23fa87080f", - "source": "1", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "735ca118-a5a7-432d-b22c-76989e8828bd", - "source": "1", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "be82aeab-0815-4832-9164-6a3ab3f1706b", - "source": "1", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "a01b8742-9ed0-4554-b60d-be98c15273d9", - "source": "1", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "fb841ecf-ce55-4c96-b337-2770046a1fed", - "source": "1", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "6ba9b977-b7b4-4d16-a5b1-2d75c87a548f", - "source": "1", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "93737ca3-294b-4aa8-8676-be1f668eb881", - "source": "1", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "7d8d69c2-258a-4a23-b9a3-366f654dc511", - "source": "2", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "9418ff08-e252-47b5-b7eb-2dee869a8203", - "source": "2", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "7191c853-81f1-449d-86a8-502b3bd06731", - "source": "2", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "273353f4-e02a-429a-b350-b615df2625d0", - "source": "2", - "target": "9", - "weight": 1 - } - }, - { - "data": { - "id": "73003209-c15c-4444-be5f-bd60657f4429", - "source": "2", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "55464495-1623-46d7-a8da-a47a4209783b", - "source": "2", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "feebb1f7-c212-425b-a0f4-9b95b2dbe653", - "source": "2", - "target": "28", - "weight": 1 - } - }, - { - "data": { - "id": "1a9d10a8-34a8-4d71-aafc-6404988292ef", - "source": "2", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "683b3002-6fe1-4b70-95d6-d6970c254ac8", - "source": "3", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "f9aadc9f-65e3-433e-8248-414ef0197019", - "source": "3", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "b1bc184f-0393-4c50-9373-84507141ae87", - "source": "3", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "fd76429a-adc9-44fa-a455-fc1fad171b19", - "source": "4", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "99925a0d-fc35-4580-9540-67d38196531d", - "source": "4", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "d50a8336-64b9-4ee4-a722-399423f53c04", - "source": "5", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "b0244cb8-2eda-4154-8209-ac14e2052785", - "source": "5", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "53bf60c4-e7ab-4f0c-a003-eb8282d844a4", - "source": "5", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "fa087b1c-865f-4721-92e2-1b4c94ef9dcd", - "source": "6", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "132dbde2-99c5-4234-9fec-580c2045f6ba", - "source": "8", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "058dcd31-aa8d-4d30-ac6a-e1c9e4b772e7", - "source": "8", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "5d7a20d0-1a6b-4188-aa9c-04f361f406b9", - "source": "8", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "67939b85-c4bb-43b2-a143-986ba50d3727", - "source": "9", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "e993e29d-d2e8-4908-8c71-4d426f37b50f", - "source": "13", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "c1331ea8-b65b-45c0-81c6-bec45505a6a5", - "source": "14", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "5ba23511-5651-42ff-a0f4-d7f343f89f0b", - "source": "14", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "7b79c0be-1cbe-463e-996d-b008dc250861", - "source": "15", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "70b650f4-d0aa-42db-b57e-2a9785eb5ac9", - "source": "15", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "2b37bc91-2643-4847-af75-2e0706827e0d", - "source": "18", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "eb005df2-b3b7-48ee-baa9-99f223081a39", - "source": "18", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "e22cdbab-27d5-450e-8d24-5baf1cd85f0c", - "source": "19", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "cd67ec96-980d-466d-a03e-805054b0b71e", - "source": "20", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "d3451fbe-e812-4f97-a862-af590dde1450", - "source": "20", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "99bb4d1e-c532-4647-834e-dfc3664100e3", - "source": "22", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "4a837dfd-f7a3-4e76-a792-e81248bda264", - "source": "22", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "417f30f5-d791-425f-81b1-8ea8655b2416", - "source": "23", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "dd4db35b-eaec-4937-9009-86d5b511dbde", - "source": "23", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "f1b2e0a3-2e2f-43c2-8c50-7372a6f422d3", - "source": "23", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "65233fb2-9877-44be-b028-d36dd94041d9", - "source": "23", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "96f8626a-3a4d-4ed0-b74e-bbcf82e004d0", - "source": "23", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "502f2e57-8465-4e9c-8b6b-8b93898525f2", - "source": "24", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "6d23c1ef-bb4d-44a8-9771-fa3b077d8447", - "source": "24", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "dc6832f5-5c23-4ef4-9499-43b41818e0a3", - "source": "24", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "236a0a65-1e56-4a11-b521-ad88c2550119", - "source": "25", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "cc0ed55c-797e-44f5-a148-71e8056b21b9", - "source": "26", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "c8006287-f159-46c7-a700-8e50718791a5", - "source": "26", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "1d3582b1-ef5d-4669-b466-abd4eaf02d85", - "source": "27", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "6729b210-447e-41e8-adec-c6dff2a289b0", - "source": "28", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "8e96fffd-1fe3-4ed9-8c7b-8bde2aaf6e9f", - "source": "28", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "b49ee94e-e5f8-4801-8165-59d3ed4b1161", - "source": "29", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "bc268abf-507e-494d-aaed-dd58e5ff426c", - "source": "29", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "0a79677d-7273-4df3-a265-3e3e80c77b62", - "source": "30", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "b0ff63a8-38e4-4d64-b3fe-d806fad643cc", - "source": "30", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "22e8dedc-72c1-4fb2-97fd-68cd8d2a95ac", - "source": "31", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "3fb10e17-9250-4d83-b3e1-e40fd7629013", - "source": "31", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "c997c756-95ca-41d3-840b-7ea300a24bd5", - "source": "32", - "target": "33", - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - }, - { - "data": { - "id": "5", - "name": "5", - "value": 5 - } - }, - { - "data": { - "id": "6", - "name": "6", - "value": 6 - } - }, - { - "data": { - "id": "7", - "name": "7", - "value": 7 - } - }, - { - "data": { - "id": "8", - "name": "8", - "value": 8 - } - }, - { - "data": { - "id": "9", - "name": "9", - "value": 9 - } - }, - { - "data": { - "id": "10", - "name": "10", - "value": 10 - } - }, - { - "data": { - "id": "11", - "name": "11", - "value": 11 - } - }, - { - "data": { - "id": "12", - "name": "12", - "value": 12 - } - }, - { - "data": { - "id": "13", - "name": "13", - "value": 13 - } - }, - { - "data": { - "id": "14", - "name": "14", - "value": 14 - } - }, - { - "data": { - "id": "15", - "name": "15", - "value": 15 - } - }, - { - "data": { - "id": "16", - "name": "16", - "value": 16 - } - }, - { - "data": { - "id": "17", - "name": "17", - "value": 17 - } - }, - { - "data": { - "id": "18", - "name": "18", - "value": 18 - } - }, - { - "data": { - "id": "19", - "name": "19", - "value": 19 - } - }, - { - "data": { - "id": "20", - "name": "20", - "value": 20 - } - }, - { - "data": { - "id": "21", - "name": "21", - "value": 21 - } - }, - { - "data": { - "id": "22", - "name": "22", - "value": 22 - } - }, - { - "data": { - "id": "23", - "name": "23", - "value": 23 - } - }, - { - "data": { - "id": "24", - "name": "24", - "value": 24 - } - }, - { - "data": { - "id": "25", - "name": "25", - "value": 25 - } - }, - { - "data": { - "id": "26", - "name": "26", - "value": 26 - } - }, - { - "data": { - "id": "27", - "name": "27", - "value": 27 - } - }, - { - "data": { - "id": "28", - "name": "28", - "value": 28 - } - }, - { - "data": { - "id": "29", - "name": "29", - "value": 29 - } - }, - { - "data": { - "id": "30", - "name": "30", - "value": 30 - } - }, - { - "data": { - "id": "31", - "name": "31", - "value": 31 - } - }, - { - "data": { - "id": "32", - "name": "32", - "value": 32 - } - }, - { - "data": { - "id": "33", - "name": "33", - "value": 33 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_2c77f8b3001b4da89d97b25878ed20ff", - "layout_name": "", - "visual_style": null - } - }, - "8abac7bef51c46b6b4908c2606bfc8d8": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "id": "57683d03-5e0e-4dc6-9348-76bf13360107", - "source": "0", - "target": "1", - "weight": 1 - } - }, - { - "data": { - "id": "0d3130dc-1f13-45ba-8b40-49299ab6e7f5", - "source": "0", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "f53595c4-d242-4e0e-8aa0-1890d40516fe", - "source": "0", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "10832546-c693-4648-8308-61787db29fa6", - "source": "0", - "target": "4", - "weight": 1 - } - }, - { - "data": { - "id": "9cdafbfc-a4e7-432a-a06b-927d203b8dd8", - "source": "0", - "target": "5", - "weight": 1 - } - }, - { - "data": { - "id": "d1481315-b5cf-4497-8d11-775140c97393", - "source": "0", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "44a41525-9920-4e09-b506-944fad7e7d5e", - "source": "0", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "9fcbbd25-59cc-40e3-86cf-570ceb4094f1", - "source": "0", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "9d224eed-35d2-47b2-be0e-86f7ee61d136", - "source": "0", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "64a122da-7d0b-425c-95ff-cf19b2c57799", - "source": "0", - "target": "11", - "weight": 1 - } - }, - { - "data": { - "id": "67cc5d26-f2e6-4591-b430-4e9527c76354", - "source": "0", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "4a85166d-2209-4497-8486-fa5df8a0f7c4", - "source": "0", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "818b0e02-9b3a-4b88-bcc1-621af9d3984c", - "source": "0", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "2818b998-6c48-40c6-9281-ff762c4576ba", - "source": "0", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "c926069c-b336-456e-a721-882b0b318c1f", - "source": "0", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "b5c821ff-064e-43fa-b5ef-7f22654eb9a4", - "source": "0", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "b93e10fe-da76-4f9e-aa30-976470048b4e", - "source": "1", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "f21ef70d-de60-4467-a796-2fe2b8979256", - "source": "1", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "9dd3ee2a-5ede-4799-950a-3edfe087cd15", - "source": "1", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "343a10b6-5988-43b6-8644-fc729cd39668", - "source": "1", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "fdf27ade-a018-4787-abca-c7ca41d3ccb4", - "source": "1", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "b2a5e74a-75d1-4778-9cb6-c2033a893ae7", - "source": "1", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "15a7b4ef-6e67-4428-8a57-1c8b13ca110a", - "source": "1", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "384ab13b-5885-4360-aac4-77402ac1ea8f", - "source": "1", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "b3a8e238-9c4f-4c6e-9ff8-3521f0e36481", - "source": "2", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "82887643-50b2-48a9-b650-567928ab6841", - "source": "2", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "99ca64f3-23fe-46cd-b610-5753545850ee", - "source": "2", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "a7ddc508-a962-4557-ad05-703f04cf822a", - "source": "2", - "target": "9", - "weight": 1 - } - }, - { - "data": { - "id": "a7ebbccb-05b4-4002-9a5d-113cce73537b", - "source": "2", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "6ac1d361-5470-472f-b465-23eb66c40f98", - "source": "2", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "fbce9fb2-e749-4e10-b623-28ab7f465086", - "source": "2", - "target": "28", - "weight": 1 - } - }, - { - "data": { - "id": "5aadd964-cd7a-43fa-a53a-d9058a1ea563", - "source": "2", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "802b58e9-9716-4b2e-809e-539abb4026f0", - "source": "3", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "ee0c4ee3-f785-4e7a-b0f9-3952afc05434", - "source": "3", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "202fe3cb-dca3-432c-9472-c2c606b66391", - "source": "3", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "499bbdee-7e45-43f4-bbd5-1e878febabca", - "source": "4", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "373b9990-06c9-44dc-8ecf-0177d742c6df", - "source": "4", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "3dbe6a3c-4d13-470a-854d-4f2e6526c5ef", - "source": "5", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "2444b3e9-4ba0-4865-b885-836d3ede9eaa", - "source": "5", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "4a80ae48-952a-436b-9451-8f0ca88fdbe3", - "source": "5", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "47d1ceb5-2fe0-42c7-bda4-31bd100b6da7", - "source": "6", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "732798e4-2031-4658-867f-9b4bbe8659c5", - "source": "8", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "b971a074-3b58-4a40-85b6-4ac7665e8907", - "source": "8", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "0cde8b2c-9897-49c7-a270-95598f553c7f", - "source": "8", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "f0a498a5-562f-4ce1-a429-0c27e452eb6d", - "source": "9", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "f2301bea-5d06-4a1d-810e-ee522e60c2a4", - "source": "13", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "bf1d042e-eac9-4b70-a0a1-4309f1e77282", - "source": "14", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "afdd392a-1a22-42d2-a278-61714d9553aa", - "source": "14", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "9eaa2100-9872-45fa-87ab-ea6341163179", - "source": "15", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "84f12456-ed72-49d9-a97d-eff47a4618d0", - "source": "15", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "fca2e358-8e22-48e6-b6ce-0ad119feb0fd", - "source": "18", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "8ac132f9-1e5c-48f7-a73e-eb5d8cedcab9", - "source": "18", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "24fe0d53-1dc6-46c5-964a-4653be2eee05", - "source": "19", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "1418f9c1-d67c-4c48-8b24-f611caaebb7d", - "source": "20", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "fc11a592-39cf-44a3-9fb7-4c53c9287408", - "source": "20", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "dd038e26-f5f9-4888-bf11-16688cc4e47f", - "source": "22", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "4dcd4567-d207-424d-8f08-89f3cbea3f40", - "source": "22", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "e2c3aa0f-84d6-4910-94ca-d1f833bbcb42", - "source": "23", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "8f4c250c-2a6b-45c6-85e5-18ad6483d646", - "source": "23", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "0a620bf5-7167-47fb-9f75-9f18bc6b64b7", - "source": "23", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "2ebd1099-6fd2-43bc-b32b-57900fd46e00", - "source": "23", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "285065a2-6f57-4869-bbb6-ddbdd86f79af", - "source": "23", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "5aed2dc9-7a79-4275-8298-402a93814048", - "source": "24", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "d9fd98d6-7153-4f39-9d99-4646afbe7c19", - "source": "24", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "cd6da3ae-6640-4787-8c93-e2ef69c0c958", - "source": "24", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "2ae8dc81-17a4-4c08-aed8-c44e32c9dcf9", - "source": "25", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "5f593c39-d703-49f0-b25a-e62af4a242e3", - "source": "26", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "2cdddeb3-6bbf-4bf7-bac5-b715ede01f83", - "source": "26", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "2c2e8436-2cf5-4544-a314-c95550c35240", - "source": "27", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "46807576-2dc8-4403-aba6-5379dfe65599", - "source": "28", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "e29bab8b-ab88-4fdb-a449-e6b211ed96ba", - "source": "28", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "7a82bb13-91f4-415b-a5a6-d0f4e1902b96", - "source": "29", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "0e8add9d-d0ad-4de0-8c45-12f25bb18cf6", - "source": "29", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "0c032f97-c2f1-4dc5-875f-0285b0e5c7bb", - "source": "30", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "85551060-3f52-4b92-8fd7-66995a3ead87", - "source": "30", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "78f958a4-9de3-4457-9129-6cbb2625130a", - "source": "31", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "68084c65-23a8-4d3c-80e6-d87f481254c0", - "source": "31", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "33df238f-2b89-4530-9a3c-e5714cd84e59", - "source": "32", - "target": "33", - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - }, - { - "data": { - "id": "5", - "name": "5", - "value": 5 - } - }, - { - "data": { - "id": "6", - "name": "6", - "value": 6 - } - }, - { - "data": { - "id": "7", - "name": "7", - "value": 7 - } - }, - { - "data": { - "id": "8", - "name": "8", - "value": 8 - } - }, - { - "data": { - "id": "9", - "name": "9", - "value": 9 - } - }, - { - "data": { - "id": "10", - "name": "10", - "value": 10 - } - }, - { - "data": { - "id": "11", - "name": "11", - "value": 11 - } - }, - { - "data": { - "id": "12", - "name": "12", - "value": 12 - } - }, - { - "data": { - "id": "13", - "name": "13", - "value": 13 - } - }, - { - "data": { - "id": "14", - "name": "14", - "value": 14 - } - }, - { - "data": { - "id": "15", - "name": "15", - "value": 15 - } - }, - { - "data": { - "id": "16", - "name": "16", - "value": 16 - } - }, - { - "data": { - "id": "17", - "name": "17", - "value": 17 - } - }, - { - "data": { - "id": "18", - "name": "18", - "value": 18 - } - }, - { - "data": { - "id": "19", - "name": "19", - "value": 19 - } - }, - { - "data": { - "id": "20", - "name": "20", - "value": 20 - } - }, - { - "data": { - "id": "21", - "name": "21", - "value": 21 - } - }, - { - "data": { - "id": "22", - "name": "22", - "value": 22 - } - }, - { - "data": { - "id": "23", - "name": "23", - "value": 23 - } - }, - { - "data": { - "id": "24", - "name": "24", - "value": 24 - } - }, - { - "data": { - "id": "25", - "name": "25", - "value": 25 - } - }, - { - "data": { - "id": "26", - "name": "26", - "value": 26 - } - }, - { - "data": { - "id": "27", - "name": "27", - "value": 27 - } - }, - { - "data": { - "id": "28", - "name": "28", - "value": 28 - } - }, - { - "data": { - "id": "29", - "name": "29", - "value": 29 - } - }, - { - "data": { - "id": "30", - "name": "30", - "value": 30 - } - }, - { - "data": { - "id": "31", - "name": "31", - "value": 31 - } - }, - { - "data": { - "id": "32", - "name": "32", - "value": 32 - } - }, - { - "data": { - "id": "33", - "name": "33", - "value": 33 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_9473e33ce18f4834a2ba9c667aec18e1", - "layout_name": "", - "visual_style": null - } - }, - "9473e33ce18f4834a2ba9c667aec18e1": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "9f5d610348fb4ffca5c0c3ee90b5f7cf": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "9ffc3317ab944210bf0b9e3683c61a72": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "source": 0, - "target": 1, - "weight": 1 - } - }, - { - "data": { - "source": 0, - "target": 4, - "weight": 1 - } - }, - { - "data": { - "source": 1, - "target": 2, - "weight": 1 - } - }, - { - "data": { - "source": 1, - "target": 4, - "weight": 1 - } - }, - { - "data": { - "source": 2, - "target": 3, - "weight": 1 - } - }, - { - "data": { - "source": 3, - "target": 4, - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_e4943a9b41434a8d90e4b6de8c5dae00", - "layout_name": "", - "visual_style": null - } - }, - "ac56a0b1d30747b084f96bed81b5f703": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "c0812aa976f04d61beafb16f23710dd7": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "e196df3e1d5b425aaefc14a1a6396a0e": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "id": "551fd1b3-5a93-4f15-ab93-7485f9cc2116", - "source": "0", - "target": "1", - "weight": 1 - } - }, - { - "data": { - "id": "a8b84537-7766-46a9-9c2a-adeccd0b7d32", - "source": "0", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "c1b923e3-df7c-47ef-9a05-b566e8bb04f7", - "source": "0", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "13aaf40f-e97b-4171-ba7f-621e9defb345", - "source": "0", - "target": "4", - "weight": 1 - } - }, - { - "data": { - "id": "51aad585-f5e8-4a66-8780-54af075e62c4", - "source": "0", - "target": "5", - "weight": 1 - } - }, - { - "data": { - "id": "27c8fad8-6f0b-4747-aa1b-77b1c670e9c2", - "source": "0", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "bbef9a77-12f1-4062-9170-22d8dc1ecfea", - "source": "0", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "a27e6411-140d-4f85-bbf3-3d959d7791f7", - "source": "0", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "d9da351e-fa80-4ddb-8fe6-6a2d0c60cb2f", - "source": "0", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "7064826a-c7e9-46a3-9dce-548fd4f77f4b", - "source": "0", - "target": "11", - "weight": 1 - } - }, - { - "data": { - "id": "da2f93bc-eb6b-42c4-9090-384c4be6f5e8", - "source": "0", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "9886c237-0eba-4bff-b534-5190bd03c398", - "source": "0", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "ecd26111-bba7-4d5a-bacf-9a41885ccbd1", - "source": "0", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "f387b0a4-55b1-46e0-b572-fb443520654a", - "source": "0", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "aed37cac-12c1-4b74-8c90-15de76ec30e5", - "source": "0", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "e07f34a2-960e-4311-a9ac-5c40b93b3409", - "source": "0", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "cdf78fd3-1738-4be6-b965-2fab494bf40c", - "source": "1", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "4dcd6b4d-2e01-443e-ab03-723a6e48692f", - "source": "1", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "d163602b-b33b-4cc2-bb76-18e4a102bce3", - "source": "1", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "b912f732-e191-4d0a-9ef0-3b8aef5f3b45", - "source": "1", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "bab99a05-d216-4908-9ec2-e50bbb1ff8da", - "source": "1", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "d8b94174-566d-48d6-b29d-cc796505f8dd", - "source": "1", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "f1893c52-a51a-439b-bda3-1c67cc2fad34", - "source": "1", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "75f82446-cf15-461e-b520-f527c95eae2b", - "source": "1", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "633b270c-52a4-4c4d-a943-59791a61bad8", - "source": "2", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "1dbd0ced-983b-420a-ae51-83711be0e97c", - "source": "2", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "6908943f-051c-4845-83e7-c7f05529261d", - "source": "2", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "b9368201-d47b-4cf5-8c2b-1fb82013d868", - "source": "2", - "target": "9", - "weight": 1 - } - }, - { - "data": { - "id": "46d53645-d59a-4f21-ac95-ac014e8f046d", - "source": "2", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "bd4ab14f-e279-4a88-8c12-ab5d8413a281", - "source": "2", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "156aa20e-dce1-4c62-ae25-4cbf439e2911", - "source": "2", - "target": "28", - "weight": 1 - } - }, - { - "data": { - "id": "e76a5751-40f3-4d30-bc7c-2e48e988d8c2", - "source": "2", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "714a1e78-0d04-4729-8189-0e7f6bc52b56", - "source": "3", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "a7699505-ce04-4b40-88de-c1573e19c563", - "source": "3", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "4404d7f1-7eb1-47b4-9c2b-264ff5483461", - "source": "3", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "f531fc39-1653-424e-8485-f23237bbf745", - "source": "4", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "26737cae-d454-46e4-9378-1c8b874639bd", - "source": "4", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "d03a21d9-2031-4b21-934f-35331e6f3a96", - "source": "5", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "79549152-aa85-4d12-915f-ad5309bac470", - "source": "5", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "d79bc45d-120b-4aec-9cfa-8bccc4cb9642", - "source": "5", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "501b135c-c393-4e56-9146-05783401b44f", - "source": "6", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "8dfc3091-e3ee-4137-8d6f-496622f48eb6", - "source": "8", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "91242b9e-d62a-4250-ada3-b02de728b6cb", - "source": "8", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "b3afc64e-8bb0-4bfc-8e80-77a09ed33d80", - "source": "8", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "b6f50c48-2e7c-450c-8f03-90b598597278", - "source": "9", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "76ceae9f-c4ef-4941-824a-db1b76f8920f", - "source": "13", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "bfbd8a56-04be-4149-b32a-6df964d21a2f", - "source": "14", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "ff907bf4-fc81-4072-85e9-01a81fc4c99d", - "source": "14", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "09460376-2f72-4cd0-b9f7-02206f6917ed", - "source": "15", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "9a569d58-79cf-4f89-841a-d8ed9f8c9526", - "source": "15", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "b5af13c8-7f4c-4d06-a4c0-2a5cfa9b20ab", - "source": "18", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "af7f6587-56eb-466e-9307-cb992b558277", - "source": "18", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "44b6da03-c650-4a71-8d7b-9e21a7c03ba8", - "source": "19", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "a596cdad-9e21-4012-af92-df7ff9c35fce", - "source": "20", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "c3567bd5-2096-4355-a009-4c9b9e801dbb", - "source": "20", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "f4a91c35-48e4-42a7-8b79-1dfb10059542", - "source": "22", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "f496efcc-ec4b-41d0-b726-7b22e9355cf5", - "source": "22", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "aead3dc6-0009-4a06-832a-74bfc6961efa", - "source": "23", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "66cdd7a7-0c3d-4433-b4c3-22f5450d2d83", - "source": "23", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "c8e52f03-c603-47f7-9d01-b6cacd068b17", - "source": "23", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "e86fd050-58b5-459c-bc0a-5d77594834d5", - "source": "23", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "1441c9dc-bbc5-4ee7-b1a2-4cceee2d4641", - "source": "23", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "7459b539-f799-44f4-bb32-b279db9c35c5", - "source": "24", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "8ced93d4-6a69-448d-a79b-ba56688b8b58", - "source": "24", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "330eb1db-0a72-450d-933e-1f4517da5494", - "source": "24", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "9b0e8ac3-fefd-4bcf-822e-f68e0bc08269", - "source": "25", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "073c2ccb-dc0a-454c-80c2-db85f941eec3", - "source": "26", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "e86868c3-598c-4cc7-833f-bfb6044bfab0", - "source": "26", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "cedd9a3e-802d-4b2d-b4bc-093027e03b3a", - "source": "27", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "3d0c1607-7d98-42d8-8af7-7e5983d1a83b", - "source": "28", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "109cfef3-3546-434a-b7f1-e00ec58de98f", - "source": "28", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "16656ef3-eec5-4983-8f3f-89a120c53ed9", - "source": "29", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "4eaf2dd0-893a-4d81-90e5-e595fc437bb3", - "source": "29", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "aae455c6-d869-4419-a43b-105015d44fa0", - "source": "30", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "ec38985e-cb49-4830-b088-b72c3202bf74", - "source": "30", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "92391c0c-80cb-41a7-9af7-ffe3adcdd55e", - "source": "31", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "d1c6707c-7def-4d80-8e36-10c85f48e082", - "source": "31", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "dfdae34a-12e1-4b82-abe8-95a36d6e6b00", - "source": "32", - "target": "33", - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - }, - { - "data": { - "id": "5", - "name": "5", - "value": 5 - } - }, - { - "data": { - "id": "6", - "name": "6", - "value": 6 - } - }, - { - "data": { - "id": "7", - "name": "7", - "value": 7 - } - }, - { - "data": { - "id": "8", - "name": "8", - "value": 8 - } - }, - { - "data": { - "id": "9", - "name": "9", - "value": 9 - } - }, - { - "data": { - "id": "10", - "name": "10", - "value": 10 - } - }, - { - "data": { - "id": "11", - "name": "11", - "value": 11 - } - }, - { - "data": { - "id": "12", - "name": "12", - "value": 12 - } - }, - { - "data": { - "id": "13", - "name": "13", - "value": 13 - } - }, - { - "data": { - "id": "14", - "name": "14", - "value": 14 - } - }, - { - "data": { - "id": "15", - "name": "15", - "value": 15 - } - }, - { - "data": { - "id": "16", - "name": "16", - "value": 16 - } - }, - { - "data": { - "id": "17", - "name": "17", - "value": 17 - } - }, - { - "data": { - "id": "18", - "name": "18", - "value": 18 - } - }, - { - "data": { - "id": "19", - "name": "19", - "value": 19 - } - }, - { - "data": { - "id": "20", - "name": "20", - "value": 20 - } - }, - { - "data": { - "id": "21", - "name": "21", - "value": 21 - } - }, - { - "data": { - "id": "22", - "name": "22", - "value": 22 - } - }, - { - "data": { - "id": "23", - "name": "23", - "value": 23 - } - }, - { - "data": { - "id": "24", - "name": "24", - "value": 24 - } - }, - { - "data": { - "id": "25", - "name": "25", - "value": 25 - } - }, - { - "data": { - "id": "26", - "name": "26", - "value": 26 - } - }, - { - "data": { - "id": "27", - "name": "27", - "value": 27 - } - }, - { - "data": { - "id": "28", - "name": "28", - "value": 28 - } - }, - { - "data": { - "id": "29", - "name": "29", - "value": 29 - } - }, - { - "data": { - "id": "30", - "name": "30", - "value": 30 - } - }, - { - "data": { - "id": "31", - "name": "31", - "value": 31 - } - }, - { - "data": { - "id": "32", - "name": "32", - "value": 32 - } - }, - { - "data": { - "id": "33", - "name": "33", - "value": 33 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_ac56a0b1d30747b084f96bed81b5f703", - "layout_name": "", - "visual_style": null - } - }, - "e3b49028807b4029bfa475b8e595e6d8": { - "model_module": "cytoscape-jupyter-widget", - "model_module_version": "^0.1.0", - "model_name": "CytoscapeModel", - "state": { - "_model_module_version": "^0.1.0", - "_view_module_version": "^0.1.0", - "background": "#FFFFFF", - "data": { - "directed": false, - "elements": { - "edges": [ - { - "data": { - "id": "69cf026c-2b87-4239-9902-b0286091d1ff", - "source": "0", - "target": "1", - "weight": 1 - } - }, - { - "data": { - "id": "013dbbaf-6b50-4e8e-b89f-f1a8427ecc17", - "source": "0", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "7747d99d-bef6-4a0b-a7c4-ea04fa224210", - "source": "0", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "daecda1b-bb5c-4579-afe7-43bef94f2e3d", - "source": "0", - "target": "4", - "weight": 1 - } - }, - { - "data": { - "id": "4e6e4d85-e164-4b1e-bad6-7425bf683888", - "source": "0", - "target": "5", - "weight": 1 - } - }, - { - "data": { - "id": "cf4acb9e-7321-4060-bc94-d28dfea5af74", - "source": "0", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "ddfb0397-326e-4669-9826-76fb5dbb5463", - "source": "0", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "67d8a961-3304-4471-8e94-7eeec25a3811", - "source": "0", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "439f6b38-4d18-4a34-8c1a-cbc527b85ecb", - "source": "0", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "b219383f-64c7-479c-ba11-981c849d9749", - "source": "0", - "target": "11", - "weight": 1 - } - }, - { - "data": { - "id": "0edd6d9a-45f2-432a-b49b-587974b4c251", - "source": "0", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "61b5d875-6927-4bd9-b862-92fd2bbbc3a4", - "source": "0", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "7a5a99ab-dadc-4629-b666-0b58bac95c65", - "source": "0", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "cb793e1e-6a7d-45f2-9da9-ea115954edbf", - "source": "0", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "a80a7620-03c0-44ac-82aa-983199c529e2", - "source": "0", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "112c1508-b761-42a6-9388-b48b6496b3e1", - "source": "0", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "a872e718-cfef-4b0a-8625-92e3a30a9026", - "source": "1", - "target": "2", - "weight": 1 - } - }, - { - "data": { - "id": "0920d503-4bd5-4666-85bc-f29e09c4b0a8", - "source": "1", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "fbd41d4e-365f-4391-bd04-d62b66ae623a", - "source": "1", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "ce0c05f5-81b8-4e16-a4e4-b3ec1f2ffe3f", - "source": "1", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "70d27dae-2a22-4532-a189-53dc13ff2dfd", - "source": "1", - "target": "17", - "weight": 1 - } - }, - { - "data": { - "id": "6d1598f9-4597-4a64-a625-9eb206b38e05", - "source": "1", - "target": "19", - "weight": 1 - } - }, - { - "data": { - "id": "87bd8fc5-979d-4238-ab0b-b7e9f168adf3", - "source": "1", - "target": "21", - "weight": 1 - } - }, - { - "data": { - "id": "1924a66a-4e50-481f-ac66-b70362c12760", - "source": "1", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "2ce06962-01d9-49aa-b0a9-bada37f436f6", - "source": "2", - "target": "3", - "weight": 1 - } - }, - { - "data": { - "id": "661b1a9b-0d4e-435e-b78f-e4dfb82eface", - "source": "2", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "18b791d0-1476-453c-a5cb-b9acab3bba46", - "source": "2", - "target": "8", - "weight": 1 - } - }, - { - "data": { - "id": "3387950a-fb7a-42b5-a61c-97d9f292ac09", - "source": "2", - "target": "9", - "weight": 1 - } - }, - { - "data": { - "id": "b4027e1e-bac5-4dfa-93b4-77d763e2799b", - "source": "2", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "091b2510-bdb9-4d41-9aa5-6c9710085533", - "source": "2", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "9794d554-1358-4fd3-ad8c-101779ae73d0", - "source": "2", - "target": "28", - "weight": 1 - } - }, - { - "data": { - "id": "fb094633-d26d-408a-ae8c-417458375e95", - "source": "2", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "22e8399b-e3d7-4de6-9a45-3479b7031c12", - "source": "3", - "target": "7", - "weight": 1 - } - }, - { - "data": { - "id": "fca22c0d-e185-4fb9-9755-3e8e5eb53067", - "source": "3", - "target": "12", - "weight": 1 - } - }, - { - "data": { - "id": "b8c864c0-cdb1-42bc-b261-627292219c85", - "source": "3", - "target": "13", - "weight": 1 - } - }, - { - "data": { - "id": "a7edd9c3-63c5-4866-9aa1-801204cb2a27", - "source": "4", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "72947c3f-64c8-4af8-9842-10a364ec140e", - "source": "4", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "3d141097-a979-4d10-aea3-8d6b0d44998b", - "source": "5", - "target": "6", - "weight": 1 - } - }, - { - "data": { - "id": "7f1782b6-8764-4ec9-8ec8-9e3dee18f69d", - "source": "5", - "target": "10", - "weight": 1 - } - }, - { - "data": { - "id": "97e5cedc-26f5-413c-8be4-9a0fa2cc14e1", - "source": "5", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "edf7c579-53e0-48f4-99e5-9db83df3f43e", - "source": "6", - "target": "16", - "weight": 1 - } - }, - { - "data": { - "id": "4367b3eb-e57c-4a00-ba06-b09e8c75f07e", - "source": "8", - "target": "30", - "weight": 1 - } - }, - { - "data": { - "id": "fee59c2e-f41c-46f4-9831-70659c07f046", - "source": "8", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "0bd652c9-6cb8-46f4-8109-ce2c0bc32691", - "source": "8", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "96445dfe-f053-44ab-85c7-ecfb43069157", - "source": "9", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "5c505b16-e0c3-4f2d-bb94-7c656927dbed", - "source": "13", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "2fd56502-e084-4f98-aabb-6bd5467607b2", - "source": "14", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "11afc4cb-ecf8-4705-8fc7-73a4fd32f118", - "source": "14", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "67d68151-1f57-4fcf-a424-73b49bab2739", - "source": "15", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "fcb1cc2f-c9f4-4050-8697-6542474eefa8", - "source": "15", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "6949a0e6-674c-4e7a-a5bb-802b480b6428", - "source": "18", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "5a8da6e0-7682-4aa9-a2b5-facb5460b1e5", - "source": "18", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "7107f8fe-8240-44fb-a10e-d43cd8ee6d72", - "source": "19", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "07ec3c9e-d23d-4547-87dd-b969ed2db746", - "source": "20", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "63ebd213-5e8f-4106-8799-fee48af0a409", - "source": "20", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "b9d5fb21-79ad-480d-a735-98170275f89c", - "source": "22", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "34bd52db-52c2-4a46-88fe-d10020f6980a", - "source": "22", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "cee6cd3a-8c22-4e79-a199-8666f3736de4", - "source": "23", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "6b49e9ca-4a16-46c7-a8c1-7fc70e34b5bf", - "source": "23", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "c211366b-7bf9-46c4-b78c-663aa7c29242", - "source": "23", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "64abdfa4-29eb-4c79-832c-13b7ae2cadbf", - "source": "23", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "0b005c48-e639-427f-9c98-c0e3aa1915a6", - "source": "23", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "ee77dedd-280b-4f82-808b-93d01da14317", - "source": "24", - "target": "25", - "weight": 1 - } - }, - { - "data": { - "id": "2ce0e7d3-ee26-48a3-a00f-614dd59fefbe", - "source": "24", - "target": "27", - "weight": 1 - } - }, - { - "data": { - "id": "3c7aafdf-e04e-4afd-a637-8d1c618913f4", - "source": "24", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "7869ddc3-8ebb-40be-b026-c1f637e8f0ce", - "source": "25", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "2e045a4f-e737-453a-8282-9f76f4dd4913", - "source": "26", - "target": "29", - "weight": 1 - } - }, - { - "data": { - "id": "eabd5845-3061-4c13-9e7b-72425ca29e08", - "source": "26", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "108877ef-9ee6-4c19-b90a-abe57bfa72f0", - "source": "27", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "7f61ac42-3de2-4a11-9419-9ce9656fdd38", - "source": "28", - "target": "31", - "weight": 1 - } - }, - { - "data": { - "id": "d7b2cd53-7458-4173-9b3c-81d8f582c046", - "source": "28", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "96c6a6d7-5171-4f67-ad77-f836649c4e67", - "source": "29", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "ad775633-de73-4c8d-90f5-17f296f5cfad", - "source": "29", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "0390aa4d-76b8-4e84-8bcd-0396ed622630", - "source": "30", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "e34228ad-65e3-4b3b-88c6-256eb709fd5f", - "source": "30", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "dc075716-e405-45ed-a66f-f20927ddbda7", - "source": "31", - "target": "32", - "weight": 1 - } - }, - { - "data": { - "id": "ea4ef7ce-61e9-43e4-b426-4c7ab05c2835", - "source": "31", - "target": "33", - "weight": 1 - } - }, - { - "data": { - "id": "f224455f-e2f4-4066-aeba-b964e831a2da", - "source": "32", - "target": "33", - "weight": 1 - } - } - ], - "nodes": [ - { - "data": { - "id": "0", - "name": "0", - "value": 0 - } - }, - { - "data": { - "id": "1", - "name": "1", - "value": 1 - } - }, - { - "data": { - "id": "2", - "name": "2", - "value": 2 - } - }, - { - "data": { - "id": "3", - "name": "3", - "value": 3 - } - }, - { - "data": { - "id": "4", - "name": "4", - "value": 4 - } - }, - { - "data": { - "id": "5", - "name": "5", - "value": 5 - } - }, - { - "data": { - "id": "6", - "name": "6", - "value": 6 - } - }, - { - "data": { - "id": "7", - "name": "7", - "value": 7 - } - }, - { - "data": { - "id": "8", - "name": "8", - "value": 8 - } - }, - { - "data": { - "id": "9", - "name": "9", - "value": 9 - } - }, - { - "data": { - "id": "10", - "name": "10", - "value": 10 - } - }, - { - "data": { - "id": "11", - "name": "11", - "value": 11 - } - }, - { - "data": { - "id": "12", - "name": "12", - "value": 12 - } - }, - { - "data": { - "id": "13", - "name": "13", - "value": 13 - } - }, - { - "data": { - "id": "14", - "name": "14", - "value": 14 - } - }, - { - "data": { - "id": "15", - "name": "15", - "value": 15 - } - }, - { - "data": { - "id": "16", - "name": "16", - "value": 16 - } - }, - { - "data": { - "id": "17", - "name": "17", - "value": 17 - } - }, - { - "data": { - "id": "18", - "name": "18", - "value": 18 - } - }, - { - "data": { - "id": "19", - "name": "19", - "value": 19 - } - }, - { - "data": { - "id": "20", - "name": "20", - "value": 20 - } - }, - { - "data": { - "id": "21", - "name": "21", - "value": 21 - } - }, - { - "data": { - "id": "22", - "name": "22", - "value": 22 - } - }, - { - "data": { - "id": "23", - "name": "23", - "value": 23 - } - }, - { - "data": { - "id": "24", - "name": "24", - "value": 24 - } - }, - { - "data": { - "id": "25", - "name": "25", - "value": 25 - } - }, - { - "data": { - "id": "26", - "name": "26", - "value": 26 - } - }, - { - "data": { - "id": "27", - "name": "27", - "value": 27 - } - }, - { - "data": { - "id": "28", - "name": "28", - "value": 28 - } - }, - { - "data": { - "id": "29", - "name": "29", - "value": 29 - } - }, - { - "data": { - "id": "30", - "name": "30", - "value": 30 - } - }, - { - "data": { - "id": "31", - "name": "31", - "value": 31 - } - }, - { - "data": { - "id": "32", - "name": "32", - "value": 32 - } - }, - { - "data": { - "id": "33", - "name": "33", - "value": 33 - } - } - ] - } - }, - "format": "cyjs", - "layout": "IPY_MODEL_43d52ad101dc4a50a64b000e2dfcd630", - "layout_name": "", - "visual_style": null - } - }, - "e4943a9b41434a8d90e4b6de8c5dae00": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - }, - "f8204cd1c2304f2ba9f1171c380efd8e": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.1.0", - "model_name": "LayoutModel", - "state": {} - } - }, - "version_major": 2, - "version_minor": 0 - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} From ac22f182b132da329aac8848b63b84efb008c7ac Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 9 Jul 2019 15:18:46 +0200 Subject: [PATCH 05/92] New notebook Louvain --- docs/tutorials/clustering_Louvain.ipynb | 6702 +++++++++++++++++++++++ docs/tutorials/pagerank.ipynb | 2 +- 2 files changed, 6703 insertions(+), 1 deletion(-) create mode 100644 docs/tutorials/clustering_Louvain.ipynb diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb new file mode 100644 index 000000000..bf560c6c7 --- /dev/null +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -0,0 +1,6702 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Graph clustering by Louvain" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:07.618442Z", + "start_time": "2019-07-09T11:27:06.888532Z" + } + }, + "outputs": [], + "source": [ + "from sknetwork.clustering import Louvain\n", + "from sknetwork.toy_graphs import karate_club_graph\n", + "from collections import Counter\n", + "from networkx import from_scipy_sparse_matrix, draw" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load graph" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:07.938019Z", + "start_time": "2019-07-09T11:27:07.920535Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<34x34 sparse matrix of type ''\n", + "\twith 156 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adjacency = karate_club_graph()\n", + "adjacency" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clustering" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:09.211595Z", + "start_time": "2019-07-09T11:27:08.440159Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "louvain = Louvain()\n", + "louvain.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "labels = louvain.labels_" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Counter({1: 12, 0: 5, 3: 11, 2: 6})" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Counter(labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:10.907094Z", + "start_time": "2019-07-09T11:27:10.696188Z" + } + }, + "outputs": [], + "source": [ + "graph = from_scipy_sparse_matrix(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:11.402102Z", + "start_time": "2019-07-09T11:27:11.396042Z" + } + }, + "outputs": [], + "source": [ + "colors = ['r','g','b','c','m','y']" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:14.032509Z", + "start_time": "2019-07-09T11:27:13.945785Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "draw(graph, node_color=[colors[labels[i]] for i in graph])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + }, + "toc": { + "base_numbering": 1.0, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": { + "0a13fb35a34143c5ac61884113699f99": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "id": "8af1209b-c2a8-45a1-a592-3c780a5a4027", + "source": "0", + "target": "1", + "weight": 1.0 + } + }, + { + "data": { + "id": "f06735ba-0929-48be-8571-440a05ef1997", + "source": "0", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "a45f9d5e-6593-4a1f-abbb-c966be29e825", + "source": "0", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "d840b8c7-ef62-4a61-bbfc-91071864bd07", + "source": "0", + "target": "4", + "weight": 1.0 + } + }, + { + "data": { + "id": "5e7924af-37c1-4217-806a-abd8892b2f0d", + "source": "0", + "target": "5", + "weight": 1.0 + } + }, + { + "data": { + "id": "9647d9ce-a110-422b-b98a-c399cadc79f7", + "source": "0", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "ec886efd-24b7-4c46-8cf2-8ff89b285a93", + "source": "0", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "7f274155-be57-4024-8888-50c119f32d0e", + "source": "0", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "3a113d42-64dc-4e99-bfd7-ee7929d6899e", + "source": "0", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "eee3d5e6-0752-4c40-b8f8-e937174fc4ef", + "source": "0", + "target": "11", + "weight": 1.0 + } + }, + { + "data": { + "id": "bd9d2a89-9568-47af-ade9-0cad2d812d05", + "source": "0", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "3fd83b30-add5-477b-b4c4-b748945a951c", + "source": "0", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "622f4cf2-e2bc-4379-ac66-fa7a3ebc561e", + "source": "0", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "66cbc93e-a677-45ed-ae2f-09aadbb32b32", + "source": "0", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "255abc79-81d1-4b1b-a8da-f0f3ad096dab", + "source": "0", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "2417e2ca-a76b-4fcb-a0a7-f14db8b0e28c", + "source": "0", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "e67cf4ed-a8b0-448b-b609-f710dc8fd701", + "source": "1", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "170cad6e-02fb-4fe4-83ae-49faa3ce6e44", + "source": "1", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "f11b6a7d-84d0-46bb-b90d-db9ccbdfc65a", + "source": "1", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "993d6539-e92f-4356-8eff-b332ee302560", + "source": "1", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "62abe227-fd60-47aa-934f-7bda5f0e8351", + "source": "1", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "35172c25-f080-4c0c-abfe-e648c48f9b95", + "source": "1", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "daee017b-b1a8-4bfc-8876-37a7a1bf8e90", + "source": "1", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "45acb4dc-9345-4f48-bbee-8a06db88e00c", + "source": "1", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "a330d16c-ea2b-4834-96ee-abdedb6733bc", + "source": "2", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "e271c862-0043-40c6-9f19-a6d70e210f26", + "source": "2", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "99843c7e-c8bb-4506-9180-39a562971155", + "source": "2", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "c7e0fa18-ea34-4ac5-b2a8-1615f21bfac5", + "source": "2", + "target": "9", + "weight": 1.0 + } + }, + { + "data": { + "id": "071e309f-5f0b-4e47-809e-b21a26a75685", + "source": "2", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "19b3f084-cf2e-406b-b880-5d7e2f290b23", + "source": "2", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "d375b865-1541-49d2-a35c-e4d03c666159", + "source": "2", + "target": "28", + "weight": 1.0 + } + }, + { + "data": { + "id": "5f7f2bdf-1f73-4026-a5b9-4350effa8295", + "source": "2", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "69b809e1-4c9d-4cbc-a629-4d933f0444ae", + "source": "3", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "b187ff06-710b-4e16-a0f0-50a3d7c64aab", + "source": "3", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "20d58914-3941-4a25-9c51-484aae5edac2", + "source": "3", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "f98d2f44-4bad-4b00-a2b0-a9b971f04383", + "source": "4", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "54eca3f4-7acd-4aff-83d7-f431cd82397b", + "source": "4", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "9080245a-7f25-4cd5-95c2-04bdc9a09bd3", + "source": "5", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "f5a5eba9-925e-4e89-889d-ac1d0e77c012", + "source": "5", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "da6efa82-50e4-493a-ab22-750884cfe860", + "source": "5", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "830c6407-f546-4ae6-b310-6158bd857b75", + "source": "6", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "aaaf29ff-9024-48c4-9323-85e2088724bb", + "source": "8", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "bf9ece80-439e-4b9b-926c-f16c8ce217c1", + "source": "8", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "337e0e94-918e-4716-b827-34cea12bc9f9", + "source": "8", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "5b1cacda-225d-4c86-b987-f175c1a51287", + "source": "9", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "c018e5c6-6d90-467f-97c4-c0c387bff2fe", + "source": "13", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "d539b814-41a4-4c68-abbe-ce32fb7a0bb5", + "source": "14", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "1610ea43-042f-4fee-9f11-9d7a8fe4fa72", + "source": "14", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "03f4a8aa-1882-4572-9970-4fff282155c4", + "source": "15", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "08ede74d-8398-450d-b527-8b2e51c2c2cc", + "source": "15", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "ef6f89c9-4158-4914-9a05-5c34fd0310bf", + "source": "18", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "514b0524-3967-40af-b924-bd3f0a0fd32a", + "source": "18", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "02f46a12-065c-4f11-a31e-3871e3c6ee6d", + "source": "19", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "2d796471-3428-4558-ba26-b0a0201f36c4", + "source": "20", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "edcd2749-8926-4326-85e4-b9a89547359f", + "source": "20", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "eca2645b-7c3b-4e15-82b0-cf28cdabcfcd", + "source": "22", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "60f8e69e-d66b-4feb-a256-19c577b0741d", + "source": "22", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "97dc3e05-be38-4b36-be0e-f6f19e05b9a8", + "source": "23", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "869f4c98-502a-4e18-8f8b-c0542b4b94df", + "source": "23", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "36a1bfbb-25f9-4b1b-b45f-cc9e0636f61d", + "source": "23", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "466b4920-2991-443c-b5d6-90483c578dc1", + "source": "23", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "1d382449-4e47-4f92-b5b9-07091e3a7aa6", + "source": "23", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "4a52e4ae-ed6f-49f8-9107-06714102ccd5", + "source": "24", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "bfd2a32a-a45f-47d6-933d-4a8c123d7710", + "source": "24", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "b1c050f1-e87b-4a33-bfbd-8af748bfbbc8", + "source": "24", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "31e1fbc4-77be-45c5-b1e8-91b90577e050", + "source": "25", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "cafae5e9-a154-4660-8437-bf66d07c658a", + "source": "26", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "5d4c8d68-e8c8-41f1-a4e2-cd2548bca91d", + "source": "26", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "0f2e986d-0661-4a5c-9244-7fcb3d4ead9c", + "source": "27", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "07780435-91c5-4ad3-8997-35af47771285", + "source": "28", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "c7da7d3b-3a99-46eb-b2b6-a1d804cd02a1", + "source": "28", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "462e607a-0a56-4c96-aca9-5df6d52801ad", + "source": "29", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "47b70469-86fc-447e-bbb1-778410aaf141", + "source": "29", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "99628c5b-d324-4504-aac6-a29128b3a7de", + "source": "30", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "62a8d051-0eff-43c8-8655-ba1829ff869c", + "source": "30", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "dac9e4a1-6a8c-4fd3-987c-462db24f1e46", + "source": "31", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "d94b6331-6717-4bea-b384-cc47fbb1e826", + "source": "31", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "ab7f0d78-ffbf-4971-807d-b28a5c054dbb", + "source": "32", + "target": "33", + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + }, + { + "data": { + "id": "5", + "name": "5", + "value": 5.0 + } + }, + { + "data": { + "id": "6", + "name": "6", + "value": 6.0 + } + }, + { + "data": { + "id": "7", + "name": "7", + "value": 7.0 + } + }, + { + "data": { + "id": "8", + "name": "8", + "value": 8.0 + } + }, + { + "data": { + "id": "9", + "name": "9", + "value": 9.0 + } + }, + { + "data": { + "id": "10", + "name": "10", + "value": 10.0 + } + }, + { + "data": { + "id": "11", + "name": "11", + "value": 11.0 + } + }, + { + "data": { + "id": "12", + "name": "12", + "value": 12.0 + } + }, + { + "data": { + "id": "13", + "name": "13", + "value": 13.0 + } + }, + { + "data": { + "id": "14", + "name": "14", + "value": 14.0 + } + }, + { + "data": { + "id": "15", + "name": "15", + "value": 15.0 + } + }, + { + "data": { + "id": "16", + "name": "16", + "value": 16.0 + } + }, + { + "data": { + "id": "17", + "name": "17", + "value": 17.0 + } + }, + { + "data": { + "id": "18", + "name": "18", + "value": 18.0 + } + }, + { + "data": { + "id": "19", + "name": "19", + "value": 19.0 + } + }, + { + "data": { + "id": "20", + "name": "20", + "value": 20.0 + } + }, + { + "data": { + "id": "21", + "name": "21", + "value": 21.0 + } + }, + { + "data": { + "id": "22", + "name": "22", + "value": 22.0 + } + }, + { + "data": { + "id": "23", + "name": "23", + "value": 23.0 + } + }, + { + "data": { + "id": "24", + "name": "24", + "value": 24.0 + } + }, + { + "data": { + "id": "25", + "name": "25", + "value": 25.0 + } + }, + { + "data": { + "id": "26", + "name": "26", + "value": 26.0 + } + }, + { + "data": { + "id": "27", + "name": "27", + "value": 27.0 + } + }, + { + "data": { + "id": "28", + "name": "28", + "value": 28.0 + } + }, + { + "data": { + "id": "29", + "name": "29", + "value": 29.0 + } + }, + { + "data": { + "id": "30", + "name": "30", + "value": 30.0 + } + }, + { + "data": { + "id": "31", + "name": "31", + "value": 31.0 + } + }, + { + "data": { + "id": "32", + "name": "32", + "value": 32.0 + } + }, + { + "data": { + "id": "33", + "name": "33", + "value": 33.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_9f5d610348fb4ffca5c0c3ee90b5f7cf", + "layout_name": "", + "visual_style": null + } + }, + "2c77f8b3001b4da89d97b25878ed20ff": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "43d52ad101dc4a50a64b000e2dfcd630": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "4e268e1b29844de6baae0c6f6b29ef26": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "id": "085aa101-e3f7-4fd4-b9b1-a8c1c87b0829", + "source": "0", + "target": "1", + "weight": 1.0 + } + }, + { + "data": { + "id": "e149c092-b964-4ddd-ba38-ab18720d7d65", + "source": "0", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "75efd62e-ab34-46db-a97f-9ec929afe1ac", + "source": "0", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "ad5c7966-e2ee-40a4-ab50-3896f501fe32", + "source": "0", + "target": "4", + "weight": 1.0 + } + }, + { + "data": { + "id": "45269174-3638-43f6-9c2c-6aa19a1e996a", + "source": "0", + "target": "5", + "weight": 1.0 + } + }, + { + "data": { + "id": "024ae065-d756-4307-ad12-a648b77ef44a", + "source": "0", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "5b4df428-66c0-4b1d-bf20-235d7d346311", + "source": "0", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "93d66563-a88c-4d3d-9bc0-b13062618c7c", + "source": "0", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "b647b0c9-175e-415d-81e5-2902bd642265", + "source": "0", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "d54c650a-74e5-48bf-84bd-f528e5e489f2", + "source": "0", + "target": "11", + "weight": 1.0 + } + }, + { + "data": { + "id": "65b7d31a-2bb4-463a-906b-68275b87b4d8", + "source": "0", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "b5bd1370-e0c7-430a-8dbb-a42e4138e2f0", + "source": "0", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "39b84ca5-14b4-4e55-903a-e31d20c2aa3b", + "source": "0", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "a5f4209e-d1f4-4823-8018-58d499b330f1", + "source": "0", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "c7e0799f-ac77-4d53-92ac-53262518dc8c", + "source": "0", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "bd141559-2cd0-49a7-9af0-d5ea33fd1ec1", + "source": "0", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "0d08c6a9-16a5-4cbf-ad60-ceea9388d7dd", + "source": "1", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "dddba5a7-86c4-437d-a194-8a17f23e0945", + "source": "1", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "3c56f40a-5531-4d13-9658-48aaa648ad79", + "source": "1", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "06a93c6e-47f5-4cda-8156-ed9a246c9a20", + "source": "1", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "612fa6f9-ddf1-4b82-833d-83291ffd73ad", + "source": "1", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "6f41cebc-6a62-407f-aef1-73825aee8f5e", + "source": "1", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "6368fb74-9eeb-4d1f-b945-d55f591522e7", + "source": "1", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "d1b0e70e-65a1-40bb-9ef1-49d5ec634380", + "source": "1", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "e1789f81-2667-41d3-9c08-7df10a59fef5", + "source": "2", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "6323ed2f-b5f1-49ba-851f-a072b8c3775b", + "source": "2", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "cf547378-ce49-4fa2-8c91-a013afe26ca6", + "source": "2", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "5e25d24a-4fe8-4d32-804a-c951b0f3416b", + "source": "2", + "target": "9", + "weight": 1.0 + } + }, + { + "data": { + "id": "4ac7fe0e-51f3-492a-ad59-ddd618cb42ce", + "source": "2", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "68761348-e829-4712-bd57-b5548c147493", + "source": "2", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "e83adc4a-12ed-4726-860d-d5fc96ec01b7", + "source": "2", + "target": "28", + "weight": 1.0 + } + }, + { + "data": { + "id": "69ce92df-c25f-468c-a0ca-15705b559859", + "source": "2", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "833db849-73cc-4a91-a9e5-6d5c8c7f4a5e", + "source": "3", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "589d0254-b4c0-44a6-9b13-4b2eec6c3492", + "source": "3", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "cd36b6d1-fe97-4a02-8be7-48750b7b239d", + "source": "3", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "f8d70b77-7092-4add-9f52-94ac87c18edb", + "source": "4", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "6135e50c-0ef5-41a9-834d-ab323450fe49", + "source": "4", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "fd4ff6d9-20bf-4b8a-ad31-3efa9e340ac7", + "source": "5", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "647ad804-74e2-4f53-b208-c037596619fe", + "source": "5", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "b576decc-47f9-4633-951e-7591bb48a6fc", + "source": "5", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "f854289e-8431-4a4f-b5f6-af3a5b760686", + "source": "6", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "1e51369f-c4db-4ebf-9f56-8b0831c7e53a", + "source": "8", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "082e1a14-3fed-43c6-9536-5111a7bd48fb", + "source": "8", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "a3411782-eefa-4a96-8241-e4dee9fa231b", + "source": "8", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "952918ea-c9b1-4cc7-acbf-57bb88208ada", + "source": "9", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "f9d06ad7-68ba-4490-9dd6-cf54e557a8ab", + "source": "13", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "8b9b2c05-8638-4e1f-a756-be29c6879959", + "source": "14", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "ad246b90-c307-402c-86aa-b1504c846df3", + "source": "14", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "364c68cb-87b1-49f0-a340-19dbba851841", + "source": "15", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "4cf6353c-ab7d-4353-8855-afe3f494c145", + "source": "15", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "1a99746d-c573-4195-9f67-e17eb5182d08", + "source": "18", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "50f9479f-29d6-4d63-be18-8a1a91dabd0d", + "source": "18", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "188f452d-074a-4210-8e8b-ab85fd3a993b", + "source": "19", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "d1b83182-0ccb-403a-a42d-afa8dc90f5c6", + "source": "20", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "c2cc2f11-ae7d-4c2f-8f7d-83fec6b81d85", + "source": "20", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "9355ea91-be49-4650-b322-8018faa15404", + "source": "22", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "463cd3e4-1e85-4f1a-9b82-40bb9e8ba17c", + "source": "22", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "a2341883-f641-487f-975f-fb15a2d98439", + "source": "23", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "d40bfd18-7151-47d6-ac3a-2c240cc47e51", + "source": "23", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "9b87f438-8282-4251-b36f-d9e291c3ec72", + "source": "23", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "16424e1c-a663-4729-8f7a-087731569c47", + "source": "23", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "fa00c17b-b5e0-40a4-a373-7a781fd6f257", + "source": "23", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "c3e015d4-ecb5-4c6d-a648-60102d3262a3", + "source": "24", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "c5cd9dcd-5226-4d18-a4f7-6b0f95fbd218", + "source": "24", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "da2e9560-4583-4e68-9b9f-4806f02982a0", + "source": "24", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "81b6f8c1-e327-481e-aa4a-bdff154ab642", + "source": "25", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "ba9019bd-2ca6-4aa2-ab99-64a2c67e067a", + "source": "26", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "76ec270a-0062-4ce6-bc72-6644a3b2ca3a", + "source": "26", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "c1c7721b-3ce5-4bb4-b6ca-c293184e4c67", + "source": "27", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "79d6053a-ed86-4fcc-8ac8-5935976e0793", + "source": "28", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "fe6c5aa6-f3af-4293-9289-44d95671d12f", + "source": "28", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "5b6015e1-bbfa-4898-b56e-72a25f7ef205", + "source": "29", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "14ebd0af-6647-4c9e-8543-d515787ae3be", + "source": "29", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "70ced8a7-1b57-4a17-a782-a2760651efb4", + "source": "30", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "34f84f00-9419-4835-9375-b334950b6fa2", + "source": "30", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "e34fd8c1-6369-4b5c-b0e9-5215de67e6e3", + "source": "31", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "75ebf962-1627-412a-876b-0b3640e11cdc", + "source": "31", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "f4dca068-f3a2-4dec-b185-62a1bf667298", + "source": "32", + "target": "33", + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + }, + { + "data": { + "id": "5", + "name": "5", + "value": 5.0 + } + }, + { + "data": { + "id": "6", + "name": "6", + "value": 6.0 + } + }, + { + "data": { + "id": "7", + "name": "7", + "value": 7.0 + } + }, + { + "data": { + "id": "8", + "name": "8", + "value": 8.0 + } + }, + { + "data": { + "id": "9", + "name": "9", + "value": 9.0 + } + }, + { + "data": { + "id": "10", + "name": "10", + "value": 10.0 + } + }, + { + "data": { + "id": "11", + "name": "11", + "value": 11.0 + } + }, + { + "data": { + "id": "12", + "name": "12", + "value": 12.0 + } + }, + { + "data": { + "id": "13", + "name": "13", + "value": 13.0 + } + }, + { + "data": { + "id": "14", + "name": "14", + "value": 14.0 + } + }, + { + "data": { + "id": "15", + "name": "15", + "value": 15.0 + } + }, + { + "data": { + "id": "16", + "name": "16", + "value": 16.0 + } + }, + { + "data": { + "id": "17", + "name": "17", + "value": 17.0 + } + }, + { + "data": { + "id": "18", + "name": "18", + "value": 18.0 + } + }, + { + "data": { + "id": "19", + "name": "19", + "value": 19.0 + } + }, + { + "data": { + "id": "20", + "name": "20", + "value": 20.0 + } + }, + { + "data": { + "id": "21", + "name": "21", + "value": 21.0 + } + }, + { + "data": { + "id": "22", + "name": "22", + "value": 22.0 + } + }, + { + "data": { + "id": "23", + "name": "23", + "value": 23.0 + } + }, + { + "data": { + "id": "24", + "name": "24", + "value": 24.0 + } + }, + { + "data": { + "id": "25", + "name": "25", + "value": 25.0 + } + }, + { + "data": { + "id": "26", + "name": "26", + "value": 26.0 + } + }, + { + "data": { + "id": "27", + "name": "27", + "value": 27.0 + } + }, + { + "data": { + "id": "28", + "name": "28", + "value": 28.0 + } + }, + { + "data": { + "id": "29", + "name": "29", + "value": 29.0 + } + }, + { + "data": { + "id": "30", + "name": "30", + "value": 30.0 + } + }, + { + "data": { + "id": "31", + "name": "31", + "value": 31.0 + } + }, + { + "data": { + "id": "32", + "name": "32", + "value": 32.0 + } + }, + { + "data": { + "id": "33", + "name": "33", + "value": 33.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_f8204cd1c2304f2ba9f1171c380efd8e", + "layout_name": "", + "visual_style": null + } + }, + "5365fba4aa4f46fca61dd346af8590df": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "source": 0.0, + "target": 1.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 0.0, + "target": 4.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 1.0, + "target": 2.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 1.0, + "target": 4.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 2.0, + "target": 3.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 3.0, + "target": 4.0, + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_c0812aa976f04d61beafb16f23710dd7", + "layout_name": "", + "visual_style": null + } + }, + "53e66b8310a943f59024fdf51d0b0aef": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "8194e43918234deca734c36e6f545093": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "id": "620f04e8-c6ee-470e-930b-6d0240430634", + "source": "0", + "target": "1", + "weight": 1.0 + } + }, + { + "data": { + "id": "68d58a21-c636-4671-896c-7c4a8e5d98b7", + "source": "0", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "8b198916-3067-44db-9ed4-b0da60de22c8", + "source": "0", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "f9467cb2-4761-4683-b105-450c13597fbc", + "source": "0", + "target": "4", + "weight": 1.0 + } + }, + { + "data": { + "id": "3d3ba002-9bb4-4236-be65-4aa3108e60ec", + "source": "0", + "target": "5", + "weight": 1.0 + } + }, + { + "data": { + "id": "9f4b0ce0-3802-46aa-9506-529c30d959be", + "source": "0", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "be99d84b-fd72-47b7-829c-844084a17bd8", + "source": "0", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "bd00d3e1-cd2d-4c2b-bba6-b9652183ec73", + "source": "0", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "34bb9318-c802-483a-b004-1f171ee3ec8e", + "source": "0", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "5aa8c4d9-ca9b-4d4d-a645-f11a6ddea783", + "source": "0", + "target": "11", + "weight": 1.0 + } + }, + { + "data": { + "id": "7b72fc84-cc3b-4d62-b531-ced96562989c", + "source": "0", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "b570f07d-4d71-46d6-bb84-0c36f52a2e2a", + "source": "0", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "0013a18f-86a5-4c44-b719-95b333f15a09", + "source": "0", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "cab9df27-fc49-4551-b4eb-fda81eb0796d", + "source": "0", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "103a1a0c-5e26-4fb9-b9db-8c16dd3c11d8", + "source": "0", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "34c56149-2fce-40a3-80a0-35850026c838", + "source": "0", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "85becf7b-6a44-427a-a3f6-edcdf7ecb3a1", + "source": "1", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "258a019b-d339-44b4-b5b0-46f7753c6675", + "source": "1", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "f3ab35d4-0adf-42f6-8c5b-12e82359889e", + "source": "1", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "5b5c451a-02b5-45ea-aff4-a07da2ff8500", + "source": "1", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "6ea4a4fa-1513-40b9-ba32-19286a2053ec", + "source": "1", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "89d18912-eb43-4cd8-99b7-53939f460023", + "source": "1", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "fdb41128-e261-4def-b8b9-dc0fd30b9495", + "source": "1", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "5ba5ddc6-7bb8-493e-9742-168f4dc0680f", + "source": "1", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "a6f41c9a-3c81-47ce-96c9-e66bb32cfddf", + "source": "2", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "d7628d0b-6da6-42e7-9bfa-250c7a0a5187", + "source": "2", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "19efee0b-c521-48c4-b9f5-b6d4ec13ddb9", + "source": "2", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "28317596-3de6-4cf5-a929-68d0f9940b7d", + "source": "2", + "target": "9", + "weight": 1.0 + } + }, + { + "data": { + "id": "bee0bd63-9cb7-4aa8-8e07-0df52f9a9183", + "source": "2", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "3eabf4b5-649f-4904-8e7b-68f9c0bfa2d3", + "source": "2", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "50e7b0aa-86b8-4509-b454-96fdf99a1419", + "source": "2", + "target": "28", + "weight": 1.0 + } + }, + { + "data": { + "id": "53f4bad1-b678-44ce-b629-19b0c2ae0073", + "source": "2", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "88b02e59-109e-484f-a1bd-2edc638c61b8", + "source": "3", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "3ea26939-66fd-4883-8167-78b496d7f820", + "source": "3", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "52949a82-d230-4734-b60e-000a114412b2", + "source": "3", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "34d8f605-46be-4833-aeb0-7b34569458f4", + "source": "4", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "a781407f-6ea9-447e-a4a7-78d5eba4382e", + "source": "4", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "30f3d5b9-5c50-4f4f-b4fa-0aefd6b4edd3", + "source": "5", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "b8e6cccc-6f69-40ab-9de9-1bf9f40ab4ed", + "source": "5", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "ac5a01e6-af66-4caf-989c-cd93e0290ea8", + "source": "5", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "bba44e08-f0f7-499c-9d81-1ba72230effd", + "source": "6", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "300d0502-3bfe-4ebc-9499-2e6701f0c836", + "source": "8", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "facbf0ae-1014-4905-8413-eb9a500a79f6", + "source": "8", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "147054c5-1385-4a3c-a749-d8c23ec01905", + "source": "8", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "6d87a9cc-5fd0-4bb0-975e-a9d43f88ed0d", + "source": "9", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "1a9e116f-0959-435f-bd8b-dfd7b7f127f0", + "source": "13", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "7c348d4b-0358-4113-bee7-e5e69165b34d", + "source": "14", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "ed89a088-7900-4095-92ba-587ce431b388", + "source": "14", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "91479544-bc11-4479-b888-aad10e8e5a94", + "source": "15", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "de69dc69-febb-4031-b60f-8039788251ab", + "source": "15", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "ba567e3f-5b30-42d9-8d07-ee53e7b6bbc6", + "source": "18", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "c4dbe0e5-43d0-4c8f-89bb-f8115a6d2645", + "source": "18", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "560a3062-4624-48ff-8538-c625cfd58958", + "source": "19", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "457410bb-dd44-4b18-a7ff-8ed4dc55071d", + "source": "20", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "6e781602-9d97-4765-9607-9bb1c3f43bf8", + "source": "20", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "33683a53-2a55-4e82-8144-e4dac89d1553", + "source": "22", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "38ae90bb-00b9-4977-9e13-be34ce92a8af", + "source": "22", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "6ed65ab5-f7f0-456e-a894-1a1247bda903", + "source": "23", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "07ade42a-2bcf-42d3-b11d-dc3a938819da", + "source": "23", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "3b1b1035-3177-45aa-b37d-48b971bcf3c9", + "source": "23", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "b7f43b21-32ca-43ed-97dd-19fa696207ae", + "source": "23", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "0176113c-be0a-4472-96bb-88aac0a4a2fd", + "source": "23", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "3cb29b1d-b369-46c7-bbb4-c99c54d9fd24", + "source": "24", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "b5db8d5e-e1ca-43ff-a2c7-5fc7ca9e38c8", + "source": "24", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "4e9277a3-0777-45b1-a45a-69e95344799f", + "source": "24", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "be87ef53-de3a-4b13-9773-fcb78ef9ea34", + "source": "25", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "c1a58aa7-212e-4cb4-b8a2-50af44656cad", + "source": "26", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "624417f6-e4ef-401f-a2cd-14248912c8fe", + "source": "26", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "41c33479-b634-4548-8ecb-5806bc26e6c2", + "source": "27", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "6a34e049-6cee-4e4a-9931-3343a810a51a", + "source": "28", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "a7406893-0852-404a-8119-648ddcd56664", + "source": "28", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "98fa5692-76da-41e3-8521-e8b84a01a435", + "source": "29", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "f6095009-2afa-48b1-8e43-7c372def30dc", + "source": "29", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "2ee4ce25-ddc0-4ebf-94bd-2889fcd49ddb", + "source": "30", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "b2103473-cff6-478c-87f9-4791b917b41e", + "source": "30", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "21d0de12-d17b-43b6-8984-e1784b23f2b8", + "source": "31", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "75bf7654-0d11-4da5-a801-f869a7c9d710", + "source": "31", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "8cf059be-1900-4632-8730-d0da7fe91ba2", + "source": "32", + "target": "33", + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + }, + { + "data": { + "id": "5", + "name": "5", + "value": 5.0 + } + }, + { + "data": { + "id": "6", + "name": "6", + "value": 6.0 + } + }, + { + "data": { + "id": "7", + "name": "7", + "value": 7.0 + } + }, + { + "data": { + "id": "8", + "name": "8", + "value": 8.0 + } + }, + { + "data": { + "id": "9", + "name": "9", + "value": 9.0 + } + }, + { + "data": { + "id": "10", + "name": "10", + "value": 10.0 + } + }, + { + "data": { + "id": "11", + "name": "11", + "value": 11.0 + } + }, + { + "data": { + "id": "12", + "name": "12", + "value": 12.0 + } + }, + { + "data": { + "id": "13", + "name": "13", + "value": 13.0 + } + }, + { + "data": { + "id": "14", + "name": "14", + "value": 14.0 + } + }, + { + "data": { + "id": "15", + "name": "15", + "value": 15.0 + } + }, + { + "data": { + "id": "16", + "name": "16", + "value": 16.0 + } + }, + { + "data": { + "id": "17", + "name": "17", + "value": 17.0 + } + }, + { + "data": { + "id": "18", + "name": "18", + "value": 18.0 + } + }, + { + "data": { + "id": "19", + "name": "19", + "value": 19.0 + } + }, + { + "data": { + "id": "20", + "name": "20", + "value": 20.0 + } + }, + { + "data": { + "id": "21", + "name": "21", + "value": 21.0 + } + }, + { + "data": { + "id": "22", + "name": "22", + "value": 22.0 + } + }, + { + "data": { + "id": "23", + "name": "23", + "value": 23.0 + } + }, + { + "data": { + "id": "24", + "name": "24", + "value": 24.0 + } + }, + { + "data": { + "id": "25", + "name": "25", + "value": 25.0 + } + }, + { + "data": { + "id": "26", + "name": "26", + "value": 26.0 + } + }, + { + "data": { + "id": "27", + "name": "27", + "value": 27.0 + } + }, + { + "data": { + "id": "28", + "name": "28", + "value": 28.0 + } + }, + { + "data": { + "id": "29", + "name": "29", + "value": 29.0 + } + }, + { + "data": { + "id": "30", + "name": "30", + "value": 30.0 + } + }, + { + "data": { + "id": "31", + "name": "31", + "value": 31.0 + } + }, + { + "data": { + "id": "32", + "name": "32", + "value": 32.0 + } + }, + { + "data": { + "id": "33", + "name": "33", + "value": 33.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_53e66b8310a943f59024fdf51d0b0aef", + "layout_name": "", + "visual_style": null + } + }, + "87466e27c8364bb6b3ee09f251635653": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "id": "e6b5a987-0a09-41c6-aa59-6744980866b9", + "source": "0", + "target": "1", + "weight": 1.0 + } + }, + { + "data": { + "id": "dbfbdeda-04d9-47ef-9086-73a087f63230", + "source": "0", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "d04b685e-cf78-4f66-80c5-81964d1fe12b", + "source": "0", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "e3ef850a-25cb-455b-ae55-d11950a78f8f", + "source": "0", + "target": "4", + "weight": 1.0 + } + }, + { + "data": { + "id": "401fa79f-898a-4d17-9269-01a18805a7fe", + "source": "0", + "target": "5", + "weight": 1.0 + } + }, + { + "data": { + "id": "748dd0c0-7566-4ac5-95fe-96d2c988e748", + "source": "0", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "774f6f0d-94a4-4ac1-abc5-b516b177cebd", + "source": "0", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "765d1e0b-1146-4b8d-881d-1bf547cdc3d6", + "source": "0", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "56e43c73-9121-4343-880d-a5bf08112893", + "source": "0", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "4251b760-3a67-4442-9fc6-b04fe2b3d660", + "source": "0", + "target": "11", + "weight": 1.0 + } + }, + { + "data": { + "id": "23920fbb-a90f-44a2-a65b-ed52a26f2dde", + "source": "0", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "86aab285-a5e0-4548-b9e9-f7434fa0da2e", + "source": "0", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "de9029f7-9546-423b-bf07-17fd5df4630d", + "source": "0", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "dd9cd57f-62fa-4c2f-ae4d-00ab87bcb7c1", + "source": "0", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "aed6dcae-120a-489c-b52c-1c9713cf1720", + "source": "0", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "eb45eefb-923e-4ad0-b7d5-fe54a323c958", + "source": "0", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "1e552ed4-49a7-48b4-b913-cd4624dd0321", + "source": "1", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "bbdc6093-e158-4943-8f07-1c23fa87080f", + "source": "1", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "735ca118-a5a7-432d-b22c-76989e8828bd", + "source": "1", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "be82aeab-0815-4832-9164-6a3ab3f1706b", + "source": "1", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "a01b8742-9ed0-4554-b60d-be98c15273d9", + "source": "1", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "fb841ecf-ce55-4c96-b337-2770046a1fed", + "source": "1", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "6ba9b977-b7b4-4d16-a5b1-2d75c87a548f", + "source": "1", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "93737ca3-294b-4aa8-8676-be1f668eb881", + "source": "1", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "7d8d69c2-258a-4a23-b9a3-366f654dc511", + "source": "2", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "9418ff08-e252-47b5-b7eb-2dee869a8203", + "source": "2", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "7191c853-81f1-449d-86a8-502b3bd06731", + "source": "2", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "273353f4-e02a-429a-b350-b615df2625d0", + "source": "2", + "target": "9", + "weight": 1.0 + } + }, + { + "data": { + "id": "73003209-c15c-4444-be5f-bd60657f4429", + "source": "2", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "55464495-1623-46d7-a8da-a47a4209783b", + "source": "2", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "feebb1f7-c212-425b-a0f4-9b95b2dbe653", + "source": "2", + "target": "28", + "weight": 1.0 + } + }, + { + "data": { + "id": "1a9d10a8-34a8-4d71-aafc-6404988292ef", + "source": "2", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "683b3002-6fe1-4b70-95d6-d6970c254ac8", + "source": "3", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "f9aadc9f-65e3-433e-8248-414ef0197019", + "source": "3", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "b1bc184f-0393-4c50-9373-84507141ae87", + "source": "3", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "fd76429a-adc9-44fa-a455-fc1fad171b19", + "source": "4", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "99925a0d-fc35-4580-9540-67d38196531d", + "source": "4", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "d50a8336-64b9-4ee4-a722-399423f53c04", + "source": "5", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "b0244cb8-2eda-4154-8209-ac14e2052785", + "source": "5", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "53bf60c4-e7ab-4f0c-a003-eb8282d844a4", + "source": "5", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "fa087b1c-865f-4721-92e2-1b4c94ef9dcd", + "source": "6", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "132dbde2-99c5-4234-9fec-580c2045f6ba", + "source": "8", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "058dcd31-aa8d-4d30-ac6a-e1c9e4b772e7", + "source": "8", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "5d7a20d0-1a6b-4188-aa9c-04f361f406b9", + "source": "8", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "67939b85-c4bb-43b2-a143-986ba50d3727", + "source": "9", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "e993e29d-d2e8-4908-8c71-4d426f37b50f", + "source": "13", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "c1331ea8-b65b-45c0-81c6-bec45505a6a5", + "source": "14", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "5ba23511-5651-42ff-a0f4-d7f343f89f0b", + "source": "14", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "7b79c0be-1cbe-463e-996d-b008dc250861", + "source": "15", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "70b650f4-d0aa-42db-b57e-2a9785eb5ac9", + "source": "15", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "2b37bc91-2643-4847-af75-2e0706827e0d", + "source": "18", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "eb005df2-b3b7-48ee-baa9-99f223081a39", + "source": "18", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "e22cdbab-27d5-450e-8d24-5baf1cd85f0c", + "source": "19", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "cd67ec96-980d-466d-a03e-805054b0b71e", + "source": "20", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "d3451fbe-e812-4f97-a862-af590dde1450", + "source": "20", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "99bb4d1e-c532-4647-834e-dfc3664100e3", + "source": "22", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "4a837dfd-f7a3-4e76-a792-e81248bda264", + "source": "22", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "417f30f5-d791-425f-81b1-8ea8655b2416", + "source": "23", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "dd4db35b-eaec-4937-9009-86d5b511dbde", + "source": "23", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "f1b2e0a3-2e2f-43c2-8c50-7372a6f422d3", + "source": "23", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "65233fb2-9877-44be-b028-d36dd94041d9", + "source": "23", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "96f8626a-3a4d-4ed0-b74e-bbcf82e004d0", + "source": "23", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "502f2e57-8465-4e9c-8b6b-8b93898525f2", + "source": "24", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "6d23c1ef-bb4d-44a8-9771-fa3b077d8447", + "source": "24", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "dc6832f5-5c23-4ef4-9499-43b41818e0a3", + "source": "24", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "236a0a65-1e56-4a11-b521-ad88c2550119", + "source": "25", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "cc0ed55c-797e-44f5-a148-71e8056b21b9", + "source": "26", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "c8006287-f159-46c7-a700-8e50718791a5", + "source": "26", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "1d3582b1-ef5d-4669-b466-abd4eaf02d85", + "source": "27", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "6729b210-447e-41e8-adec-c6dff2a289b0", + "source": "28", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "8e96fffd-1fe3-4ed9-8c7b-8bde2aaf6e9f", + "source": "28", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "b49ee94e-e5f8-4801-8165-59d3ed4b1161", + "source": "29", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "bc268abf-507e-494d-aaed-dd58e5ff426c", + "source": "29", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "0a79677d-7273-4df3-a265-3e3e80c77b62", + "source": "30", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "b0ff63a8-38e4-4d64-b3fe-d806fad643cc", + "source": "30", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "22e8dedc-72c1-4fb2-97fd-68cd8d2a95ac", + "source": "31", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "3fb10e17-9250-4d83-b3e1-e40fd7629013", + "source": "31", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "c997c756-95ca-41d3-840b-7ea300a24bd5", + "source": "32", + "target": "33", + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + }, + { + "data": { + "id": "5", + "name": "5", + "value": 5.0 + } + }, + { + "data": { + "id": "6", + "name": "6", + "value": 6.0 + } + }, + { + "data": { + "id": "7", + "name": "7", + "value": 7.0 + } + }, + { + "data": { + "id": "8", + "name": "8", + "value": 8.0 + } + }, + { + "data": { + "id": "9", + "name": "9", + "value": 9.0 + } + }, + { + "data": { + "id": "10", + "name": "10", + "value": 10.0 + } + }, + { + "data": { + "id": "11", + "name": "11", + "value": 11.0 + } + }, + { + "data": { + "id": "12", + "name": "12", + "value": 12.0 + } + }, + { + "data": { + "id": "13", + "name": "13", + "value": 13.0 + } + }, + { + "data": { + "id": "14", + "name": "14", + "value": 14.0 + } + }, + { + "data": { + "id": "15", + "name": "15", + "value": 15.0 + } + }, + { + "data": { + "id": "16", + "name": "16", + "value": 16.0 + } + }, + { + "data": { + "id": "17", + "name": "17", + "value": 17.0 + } + }, + { + "data": { + "id": "18", + "name": "18", + "value": 18.0 + } + }, + { + "data": { + "id": "19", + "name": "19", + "value": 19.0 + } + }, + { + "data": { + "id": "20", + "name": "20", + "value": 20.0 + } + }, + { + "data": { + "id": "21", + "name": "21", + "value": 21.0 + } + }, + { + "data": { + "id": "22", + "name": "22", + "value": 22.0 + } + }, + { + "data": { + "id": "23", + "name": "23", + "value": 23.0 + } + }, + { + "data": { + "id": "24", + "name": "24", + "value": 24.0 + } + }, + { + "data": { + "id": "25", + "name": "25", + "value": 25.0 + } + }, + { + "data": { + "id": "26", + "name": "26", + "value": 26.0 + } + }, + { + "data": { + "id": "27", + "name": "27", + "value": 27.0 + } + }, + { + "data": { + "id": "28", + "name": "28", + "value": 28.0 + } + }, + { + "data": { + "id": "29", + "name": "29", + "value": 29.0 + } + }, + { + "data": { + "id": "30", + "name": "30", + "value": 30.0 + } + }, + { + "data": { + "id": "31", + "name": "31", + "value": 31.0 + } + }, + { + "data": { + "id": "32", + "name": "32", + "value": 32.0 + } + }, + { + "data": { + "id": "33", + "name": "33", + "value": 33.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_2c77f8b3001b4da89d97b25878ed20ff", + "layout_name": "", + "visual_style": null + } + }, + "8abac7bef51c46b6b4908c2606bfc8d8": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "id": "57683d03-5e0e-4dc6-9348-76bf13360107", + "source": "0", + "target": "1", + "weight": 1.0 + } + }, + { + "data": { + "id": "0d3130dc-1f13-45ba-8b40-49299ab6e7f5", + "source": "0", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "f53595c4-d242-4e0e-8aa0-1890d40516fe", + "source": "0", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "10832546-c693-4648-8308-61787db29fa6", + "source": "0", + "target": "4", + "weight": 1.0 + } + }, + { + "data": { + "id": "9cdafbfc-a4e7-432a-a06b-927d203b8dd8", + "source": "0", + "target": "5", + "weight": 1.0 + } + }, + { + "data": { + "id": "d1481315-b5cf-4497-8d11-775140c97393", + "source": "0", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "44a41525-9920-4e09-b506-944fad7e7d5e", + "source": "0", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "9fcbbd25-59cc-40e3-86cf-570ceb4094f1", + "source": "0", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "9d224eed-35d2-47b2-be0e-86f7ee61d136", + "source": "0", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "64a122da-7d0b-425c-95ff-cf19b2c57799", + "source": "0", + "target": "11", + "weight": 1.0 + } + }, + { + "data": { + "id": "67cc5d26-f2e6-4591-b430-4e9527c76354", + "source": "0", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "4a85166d-2209-4497-8486-fa5df8a0f7c4", + "source": "0", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "818b0e02-9b3a-4b88-bcc1-621af9d3984c", + "source": "0", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "2818b998-6c48-40c6-9281-ff762c4576ba", + "source": "0", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "c926069c-b336-456e-a721-882b0b318c1f", + "source": "0", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "b5c821ff-064e-43fa-b5ef-7f22654eb9a4", + "source": "0", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "b93e10fe-da76-4f9e-aa30-976470048b4e", + "source": "1", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "f21ef70d-de60-4467-a796-2fe2b8979256", + "source": "1", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "9dd3ee2a-5ede-4799-950a-3edfe087cd15", + "source": "1", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "343a10b6-5988-43b6-8644-fc729cd39668", + "source": "1", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "fdf27ade-a018-4787-abca-c7ca41d3ccb4", + "source": "1", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "b2a5e74a-75d1-4778-9cb6-c2033a893ae7", + "source": "1", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "15a7b4ef-6e67-4428-8a57-1c8b13ca110a", + "source": "1", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "384ab13b-5885-4360-aac4-77402ac1ea8f", + "source": "1", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "b3a8e238-9c4f-4c6e-9ff8-3521f0e36481", + "source": "2", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "82887643-50b2-48a9-b650-567928ab6841", + "source": "2", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "99ca64f3-23fe-46cd-b610-5753545850ee", + "source": "2", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "a7ddc508-a962-4557-ad05-703f04cf822a", + "source": "2", + "target": "9", + "weight": 1.0 + } + }, + { + "data": { + "id": "a7ebbccb-05b4-4002-9a5d-113cce73537b", + "source": "2", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "6ac1d361-5470-472f-b465-23eb66c40f98", + "source": "2", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "fbce9fb2-e749-4e10-b623-28ab7f465086", + "source": "2", + "target": "28", + "weight": 1.0 + } + }, + { + "data": { + "id": "5aadd964-cd7a-43fa-a53a-d9058a1ea563", + "source": "2", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "802b58e9-9716-4b2e-809e-539abb4026f0", + "source": "3", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "ee0c4ee3-f785-4e7a-b0f9-3952afc05434", + "source": "3", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "202fe3cb-dca3-432c-9472-c2c606b66391", + "source": "3", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "499bbdee-7e45-43f4-bbd5-1e878febabca", + "source": "4", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "373b9990-06c9-44dc-8ecf-0177d742c6df", + "source": "4", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "3dbe6a3c-4d13-470a-854d-4f2e6526c5ef", + "source": "5", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "2444b3e9-4ba0-4865-b885-836d3ede9eaa", + "source": "5", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "4a80ae48-952a-436b-9451-8f0ca88fdbe3", + "source": "5", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "47d1ceb5-2fe0-42c7-bda4-31bd100b6da7", + "source": "6", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "732798e4-2031-4658-867f-9b4bbe8659c5", + "source": "8", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "b971a074-3b58-4a40-85b6-4ac7665e8907", + "source": "8", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "0cde8b2c-9897-49c7-a270-95598f553c7f", + "source": "8", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "f0a498a5-562f-4ce1-a429-0c27e452eb6d", + "source": "9", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "f2301bea-5d06-4a1d-810e-ee522e60c2a4", + "source": "13", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "bf1d042e-eac9-4b70-a0a1-4309f1e77282", + "source": "14", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "afdd392a-1a22-42d2-a278-61714d9553aa", + "source": "14", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "9eaa2100-9872-45fa-87ab-ea6341163179", + "source": "15", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "84f12456-ed72-49d9-a97d-eff47a4618d0", + "source": "15", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "fca2e358-8e22-48e6-b6ce-0ad119feb0fd", + "source": "18", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "8ac132f9-1e5c-48f7-a73e-eb5d8cedcab9", + "source": "18", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "24fe0d53-1dc6-46c5-964a-4653be2eee05", + "source": "19", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "1418f9c1-d67c-4c48-8b24-f611caaebb7d", + "source": "20", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "fc11a592-39cf-44a3-9fb7-4c53c9287408", + "source": "20", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "dd038e26-f5f9-4888-bf11-16688cc4e47f", + "source": "22", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "4dcd4567-d207-424d-8f08-89f3cbea3f40", + "source": "22", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "e2c3aa0f-84d6-4910-94ca-d1f833bbcb42", + "source": "23", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "8f4c250c-2a6b-45c6-85e5-18ad6483d646", + "source": "23", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "0a620bf5-7167-47fb-9f75-9f18bc6b64b7", + "source": "23", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "2ebd1099-6fd2-43bc-b32b-57900fd46e00", + "source": "23", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "285065a2-6f57-4869-bbb6-ddbdd86f79af", + "source": "23", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "5aed2dc9-7a79-4275-8298-402a93814048", + "source": "24", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "d9fd98d6-7153-4f39-9d99-4646afbe7c19", + "source": "24", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "cd6da3ae-6640-4787-8c93-e2ef69c0c958", + "source": "24", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "2ae8dc81-17a4-4c08-aed8-c44e32c9dcf9", + "source": "25", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "5f593c39-d703-49f0-b25a-e62af4a242e3", + "source": "26", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "2cdddeb3-6bbf-4bf7-bac5-b715ede01f83", + "source": "26", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "2c2e8436-2cf5-4544-a314-c95550c35240", + "source": "27", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "46807576-2dc8-4403-aba6-5379dfe65599", + "source": "28", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "e29bab8b-ab88-4fdb-a449-e6b211ed96ba", + "source": "28", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "7a82bb13-91f4-415b-a5a6-d0f4e1902b96", + "source": "29", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "0e8add9d-d0ad-4de0-8c45-12f25bb18cf6", + "source": "29", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "0c032f97-c2f1-4dc5-875f-0285b0e5c7bb", + "source": "30", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "85551060-3f52-4b92-8fd7-66995a3ead87", + "source": "30", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "78f958a4-9de3-4457-9129-6cbb2625130a", + "source": "31", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "68084c65-23a8-4d3c-80e6-d87f481254c0", + "source": "31", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "33df238f-2b89-4530-9a3c-e5714cd84e59", + "source": "32", + "target": "33", + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + }, + { + "data": { + "id": "5", + "name": "5", + "value": 5.0 + } + }, + { + "data": { + "id": "6", + "name": "6", + "value": 6.0 + } + }, + { + "data": { + "id": "7", + "name": "7", + "value": 7.0 + } + }, + { + "data": { + "id": "8", + "name": "8", + "value": 8.0 + } + }, + { + "data": { + "id": "9", + "name": "9", + "value": 9.0 + } + }, + { + "data": { + "id": "10", + "name": "10", + "value": 10.0 + } + }, + { + "data": { + "id": "11", + "name": "11", + "value": 11.0 + } + }, + { + "data": { + "id": "12", + "name": "12", + "value": 12.0 + } + }, + { + "data": { + "id": "13", + "name": "13", + "value": 13.0 + } + }, + { + "data": { + "id": "14", + "name": "14", + "value": 14.0 + } + }, + { + "data": { + "id": "15", + "name": "15", + "value": 15.0 + } + }, + { + "data": { + "id": "16", + "name": "16", + "value": 16.0 + } + }, + { + "data": { + "id": "17", + "name": "17", + "value": 17.0 + } + }, + { + "data": { + "id": "18", + "name": "18", + "value": 18.0 + } + }, + { + "data": { + "id": "19", + "name": "19", + "value": 19.0 + } + }, + { + "data": { + "id": "20", + "name": "20", + "value": 20.0 + } + }, + { + "data": { + "id": "21", + "name": "21", + "value": 21.0 + } + }, + { + "data": { + "id": "22", + "name": "22", + "value": 22.0 + } + }, + { + "data": { + "id": "23", + "name": "23", + "value": 23.0 + } + }, + { + "data": { + "id": "24", + "name": "24", + "value": 24.0 + } + }, + { + "data": { + "id": "25", + "name": "25", + "value": 25.0 + } + }, + { + "data": { + "id": "26", + "name": "26", + "value": 26.0 + } + }, + { + "data": { + "id": "27", + "name": "27", + "value": 27.0 + } + }, + { + "data": { + "id": "28", + "name": "28", + "value": 28.0 + } + }, + { + "data": { + "id": "29", + "name": "29", + "value": 29.0 + } + }, + { + "data": { + "id": "30", + "name": "30", + "value": 30.0 + } + }, + { + "data": { + "id": "31", + "name": "31", + "value": 31.0 + } + }, + { + "data": { + "id": "32", + "name": "32", + "value": 32.0 + } + }, + { + "data": { + "id": "33", + "name": "33", + "value": 33.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_9473e33ce18f4834a2ba9c667aec18e1", + "layout_name": "", + "visual_style": null + } + }, + "9473e33ce18f4834a2ba9c667aec18e1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "9f5d610348fb4ffca5c0c3ee90b5f7cf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "9ffc3317ab944210bf0b9e3683c61a72": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "source": 0.0, + "target": 1.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 0.0, + "target": 4.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 1.0, + "target": 2.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 1.0, + "target": 4.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 2.0, + "target": 3.0, + "weight": 1.0 + } + }, + { + "data": { + "source": 3.0, + "target": 4.0, + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_e4943a9b41434a8d90e4b6de8c5dae00", + "layout_name": "", + "visual_style": null + } + }, + "ac56a0b1d30747b084f96bed81b5f703": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "c0812aa976f04d61beafb16f23710dd7": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "e196df3e1d5b425aaefc14a1a6396a0e": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "id": "551fd1b3-5a93-4f15-ab93-7485f9cc2116", + "source": "0", + "target": "1", + "weight": 1.0 + } + }, + { + "data": { + "id": "a8b84537-7766-46a9-9c2a-adeccd0b7d32", + "source": "0", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "c1b923e3-df7c-47ef-9a05-b566e8bb04f7", + "source": "0", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "13aaf40f-e97b-4171-ba7f-621e9defb345", + "source": "0", + "target": "4", + "weight": 1.0 + } + }, + { + "data": { + "id": "51aad585-f5e8-4a66-8780-54af075e62c4", + "source": "0", + "target": "5", + "weight": 1.0 + } + }, + { + "data": { + "id": "27c8fad8-6f0b-4747-aa1b-77b1c670e9c2", + "source": "0", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "bbef9a77-12f1-4062-9170-22d8dc1ecfea", + "source": "0", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "a27e6411-140d-4f85-bbf3-3d959d7791f7", + "source": "0", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "d9da351e-fa80-4ddb-8fe6-6a2d0c60cb2f", + "source": "0", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "7064826a-c7e9-46a3-9dce-548fd4f77f4b", + "source": "0", + "target": "11", + "weight": 1.0 + } + }, + { + "data": { + "id": "da2f93bc-eb6b-42c4-9090-384c4be6f5e8", + "source": "0", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "9886c237-0eba-4bff-b534-5190bd03c398", + "source": "0", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "ecd26111-bba7-4d5a-bacf-9a41885ccbd1", + "source": "0", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "f387b0a4-55b1-46e0-b572-fb443520654a", + "source": "0", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "aed37cac-12c1-4b74-8c90-15de76ec30e5", + "source": "0", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "e07f34a2-960e-4311-a9ac-5c40b93b3409", + "source": "0", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "cdf78fd3-1738-4be6-b965-2fab494bf40c", + "source": "1", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "4dcd6b4d-2e01-443e-ab03-723a6e48692f", + "source": "1", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "d163602b-b33b-4cc2-bb76-18e4a102bce3", + "source": "1", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "b912f732-e191-4d0a-9ef0-3b8aef5f3b45", + "source": "1", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "bab99a05-d216-4908-9ec2-e50bbb1ff8da", + "source": "1", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "d8b94174-566d-48d6-b29d-cc796505f8dd", + "source": "1", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "f1893c52-a51a-439b-bda3-1c67cc2fad34", + "source": "1", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "75f82446-cf15-461e-b520-f527c95eae2b", + "source": "1", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "633b270c-52a4-4c4d-a943-59791a61bad8", + "source": "2", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "1dbd0ced-983b-420a-ae51-83711be0e97c", + "source": "2", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "6908943f-051c-4845-83e7-c7f05529261d", + "source": "2", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "b9368201-d47b-4cf5-8c2b-1fb82013d868", + "source": "2", + "target": "9", + "weight": 1.0 + } + }, + { + "data": { + "id": "46d53645-d59a-4f21-ac95-ac014e8f046d", + "source": "2", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "bd4ab14f-e279-4a88-8c12-ab5d8413a281", + "source": "2", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "156aa20e-dce1-4c62-ae25-4cbf439e2911", + "source": "2", + "target": "28", + "weight": 1.0 + } + }, + { + "data": { + "id": "e76a5751-40f3-4d30-bc7c-2e48e988d8c2", + "source": "2", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "714a1e78-0d04-4729-8189-0e7f6bc52b56", + "source": "3", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "a7699505-ce04-4b40-88de-c1573e19c563", + "source": "3", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "4404d7f1-7eb1-47b4-9c2b-264ff5483461", + "source": "3", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "f531fc39-1653-424e-8485-f23237bbf745", + "source": "4", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "26737cae-d454-46e4-9378-1c8b874639bd", + "source": "4", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "d03a21d9-2031-4b21-934f-35331e6f3a96", + "source": "5", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "79549152-aa85-4d12-915f-ad5309bac470", + "source": "5", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "d79bc45d-120b-4aec-9cfa-8bccc4cb9642", + "source": "5", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "501b135c-c393-4e56-9146-05783401b44f", + "source": "6", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "8dfc3091-e3ee-4137-8d6f-496622f48eb6", + "source": "8", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "91242b9e-d62a-4250-ada3-b02de728b6cb", + "source": "8", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "b3afc64e-8bb0-4bfc-8e80-77a09ed33d80", + "source": "8", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "b6f50c48-2e7c-450c-8f03-90b598597278", + "source": "9", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "76ceae9f-c4ef-4941-824a-db1b76f8920f", + "source": "13", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "bfbd8a56-04be-4149-b32a-6df964d21a2f", + "source": "14", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "ff907bf4-fc81-4072-85e9-01a81fc4c99d", + "source": "14", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "09460376-2f72-4cd0-b9f7-02206f6917ed", + "source": "15", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "9a569d58-79cf-4f89-841a-d8ed9f8c9526", + "source": "15", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "b5af13c8-7f4c-4d06-a4c0-2a5cfa9b20ab", + "source": "18", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "af7f6587-56eb-466e-9307-cb992b558277", + "source": "18", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "44b6da03-c650-4a71-8d7b-9e21a7c03ba8", + "source": "19", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "a596cdad-9e21-4012-af92-df7ff9c35fce", + "source": "20", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "c3567bd5-2096-4355-a009-4c9b9e801dbb", + "source": "20", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "f4a91c35-48e4-42a7-8b79-1dfb10059542", + "source": "22", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "f496efcc-ec4b-41d0-b726-7b22e9355cf5", + "source": "22", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "aead3dc6-0009-4a06-832a-74bfc6961efa", + "source": "23", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "66cdd7a7-0c3d-4433-b4c3-22f5450d2d83", + "source": "23", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "c8e52f03-c603-47f7-9d01-b6cacd068b17", + "source": "23", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "e86fd050-58b5-459c-bc0a-5d77594834d5", + "source": "23", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "1441c9dc-bbc5-4ee7-b1a2-4cceee2d4641", + "source": "23", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "7459b539-f799-44f4-bb32-b279db9c35c5", + "source": "24", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "8ced93d4-6a69-448d-a79b-ba56688b8b58", + "source": "24", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "330eb1db-0a72-450d-933e-1f4517da5494", + "source": "24", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "9b0e8ac3-fefd-4bcf-822e-f68e0bc08269", + "source": "25", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "073c2ccb-dc0a-454c-80c2-db85f941eec3", + "source": "26", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "e86868c3-598c-4cc7-833f-bfb6044bfab0", + "source": "26", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "cedd9a3e-802d-4b2d-b4bc-093027e03b3a", + "source": "27", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "3d0c1607-7d98-42d8-8af7-7e5983d1a83b", + "source": "28", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "109cfef3-3546-434a-b7f1-e00ec58de98f", + "source": "28", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "16656ef3-eec5-4983-8f3f-89a120c53ed9", + "source": "29", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "4eaf2dd0-893a-4d81-90e5-e595fc437bb3", + "source": "29", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "aae455c6-d869-4419-a43b-105015d44fa0", + "source": "30", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "ec38985e-cb49-4830-b088-b72c3202bf74", + "source": "30", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "92391c0c-80cb-41a7-9af7-ffe3adcdd55e", + "source": "31", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "d1c6707c-7def-4d80-8e36-10c85f48e082", + "source": "31", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "dfdae34a-12e1-4b82-abe8-95a36d6e6b00", + "source": "32", + "target": "33", + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + }, + { + "data": { + "id": "5", + "name": "5", + "value": 5.0 + } + }, + { + "data": { + "id": "6", + "name": "6", + "value": 6.0 + } + }, + { + "data": { + "id": "7", + "name": "7", + "value": 7.0 + } + }, + { + "data": { + "id": "8", + "name": "8", + "value": 8.0 + } + }, + { + "data": { + "id": "9", + "name": "9", + "value": 9.0 + } + }, + { + "data": { + "id": "10", + "name": "10", + "value": 10.0 + } + }, + { + "data": { + "id": "11", + "name": "11", + "value": 11.0 + } + }, + { + "data": { + "id": "12", + "name": "12", + "value": 12.0 + } + }, + { + "data": { + "id": "13", + "name": "13", + "value": 13.0 + } + }, + { + "data": { + "id": "14", + "name": "14", + "value": 14.0 + } + }, + { + "data": { + "id": "15", + "name": "15", + "value": 15.0 + } + }, + { + "data": { + "id": "16", + "name": "16", + "value": 16.0 + } + }, + { + "data": { + "id": "17", + "name": "17", + "value": 17.0 + } + }, + { + "data": { + "id": "18", + "name": "18", + "value": 18.0 + } + }, + { + "data": { + "id": "19", + "name": "19", + "value": 19.0 + } + }, + { + "data": { + "id": "20", + "name": "20", + "value": 20.0 + } + }, + { + "data": { + "id": "21", + "name": "21", + "value": 21.0 + } + }, + { + "data": { + "id": "22", + "name": "22", + "value": 22.0 + } + }, + { + "data": { + "id": "23", + "name": "23", + "value": 23.0 + } + }, + { + "data": { + "id": "24", + "name": "24", + "value": 24.0 + } + }, + { + "data": { + "id": "25", + "name": "25", + "value": 25.0 + } + }, + { + "data": { + "id": "26", + "name": "26", + "value": 26.0 + } + }, + { + "data": { + "id": "27", + "name": "27", + "value": 27.0 + } + }, + { + "data": { + "id": "28", + "name": "28", + "value": 28.0 + } + }, + { + "data": { + "id": "29", + "name": "29", + "value": 29.0 + } + }, + { + "data": { + "id": "30", + "name": "30", + "value": 30.0 + } + }, + { + "data": { + "id": "31", + "name": "31", + "value": 31.0 + } + }, + { + "data": { + "id": "32", + "name": "32", + "value": 32.0 + } + }, + { + "data": { + "id": "33", + "name": "33", + "value": 33.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_ac56a0b1d30747b084f96bed81b5f703", + "layout_name": "", + "visual_style": null + } + }, + "e3b49028807b4029bfa475b8e595e6d8": { + "model_module": "cytoscape-jupyter-widget", + "model_module_version": "^0.1.0", + "model_name": "CytoscapeModel", + "state": { + "_model_module_version": "^0.1.0", + "_view_module_version": "^0.1.0", + "background": "#FFFFFF", + "data": { + "directed": false, + "elements": { + "edges": [ + { + "data": { + "id": "69cf026c-2b87-4239-9902-b0286091d1ff", + "source": "0", + "target": "1", + "weight": 1.0 + } + }, + { + "data": { + "id": "013dbbaf-6b50-4e8e-b89f-f1a8427ecc17", + "source": "0", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "7747d99d-bef6-4a0b-a7c4-ea04fa224210", + "source": "0", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "daecda1b-bb5c-4579-afe7-43bef94f2e3d", + "source": "0", + "target": "4", + "weight": 1.0 + } + }, + { + "data": { + "id": "4e6e4d85-e164-4b1e-bad6-7425bf683888", + "source": "0", + "target": "5", + "weight": 1.0 + } + }, + { + "data": { + "id": "cf4acb9e-7321-4060-bc94-d28dfea5af74", + "source": "0", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "ddfb0397-326e-4669-9826-76fb5dbb5463", + "source": "0", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "67d8a961-3304-4471-8e94-7eeec25a3811", + "source": "0", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "439f6b38-4d18-4a34-8c1a-cbc527b85ecb", + "source": "0", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "b219383f-64c7-479c-ba11-981c849d9749", + "source": "0", + "target": "11", + "weight": 1.0 + } + }, + { + "data": { + "id": "0edd6d9a-45f2-432a-b49b-587974b4c251", + "source": "0", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "61b5d875-6927-4bd9-b862-92fd2bbbc3a4", + "source": "0", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "7a5a99ab-dadc-4629-b666-0b58bac95c65", + "source": "0", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "cb793e1e-6a7d-45f2-9da9-ea115954edbf", + "source": "0", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "a80a7620-03c0-44ac-82aa-983199c529e2", + "source": "0", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "112c1508-b761-42a6-9388-b48b6496b3e1", + "source": "0", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "a872e718-cfef-4b0a-8625-92e3a30a9026", + "source": "1", + "target": "2", + "weight": 1.0 + } + }, + { + "data": { + "id": "0920d503-4bd5-4666-85bc-f29e09c4b0a8", + "source": "1", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "fbd41d4e-365f-4391-bd04-d62b66ae623a", + "source": "1", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "ce0c05f5-81b8-4e16-a4e4-b3ec1f2ffe3f", + "source": "1", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "70d27dae-2a22-4532-a189-53dc13ff2dfd", + "source": "1", + "target": "17", + "weight": 1.0 + } + }, + { + "data": { + "id": "6d1598f9-4597-4a64-a625-9eb206b38e05", + "source": "1", + "target": "19", + "weight": 1.0 + } + }, + { + "data": { + "id": "87bd8fc5-979d-4238-ab0b-b7e9f168adf3", + "source": "1", + "target": "21", + "weight": 1.0 + } + }, + { + "data": { + "id": "1924a66a-4e50-481f-ac66-b70362c12760", + "source": "1", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "2ce06962-01d9-49aa-b0a9-bada37f436f6", + "source": "2", + "target": "3", + "weight": 1.0 + } + }, + { + "data": { + "id": "661b1a9b-0d4e-435e-b78f-e4dfb82eface", + "source": "2", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "18b791d0-1476-453c-a5cb-b9acab3bba46", + "source": "2", + "target": "8", + "weight": 1.0 + } + }, + { + "data": { + "id": "3387950a-fb7a-42b5-a61c-97d9f292ac09", + "source": "2", + "target": "9", + "weight": 1.0 + } + }, + { + "data": { + "id": "b4027e1e-bac5-4dfa-93b4-77d763e2799b", + "source": "2", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "091b2510-bdb9-4d41-9aa5-6c9710085533", + "source": "2", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "9794d554-1358-4fd3-ad8c-101779ae73d0", + "source": "2", + "target": "28", + "weight": 1.0 + } + }, + { + "data": { + "id": "fb094633-d26d-408a-ae8c-417458375e95", + "source": "2", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "22e8399b-e3d7-4de6-9a45-3479b7031c12", + "source": "3", + "target": "7", + "weight": 1.0 + } + }, + { + "data": { + "id": "fca22c0d-e185-4fb9-9755-3e8e5eb53067", + "source": "3", + "target": "12", + "weight": 1.0 + } + }, + { + "data": { + "id": "b8c864c0-cdb1-42bc-b261-627292219c85", + "source": "3", + "target": "13", + "weight": 1.0 + } + }, + { + "data": { + "id": "a7edd9c3-63c5-4866-9aa1-801204cb2a27", + "source": "4", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "72947c3f-64c8-4af8-9842-10a364ec140e", + "source": "4", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "3d141097-a979-4d10-aea3-8d6b0d44998b", + "source": "5", + "target": "6", + "weight": 1.0 + } + }, + { + "data": { + "id": "7f1782b6-8764-4ec9-8ec8-9e3dee18f69d", + "source": "5", + "target": "10", + "weight": 1.0 + } + }, + { + "data": { + "id": "97e5cedc-26f5-413c-8be4-9a0fa2cc14e1", + "source": "5", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "edf7c579-53e0-48f4-99e5-9db83df3f43e", + "source": "6", + "target": "16", + "weight": 1.0 + } + }, + { + "data": { + "id": "4367b3eb-e57c-4a00-ba06-b09e8c75f07e", + "source": "8", + "target": "30", + "weight": 1.0 + } + }, + { + "data": { + "id": "fee59c2e-f41c-46f4-9831-70659c07f046", + "source": "8", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "0bd652c9-6cb8-46f4-8109-ce2c0bc32691", + "source": "8", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "96445dfe-f053-44ab-85c7-ecfb43069157", + "source": "9", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "5c505b16-e0c3-4f2d-bb94-7c656927dbed", + "source": "13", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "2fd56502-e084-4f98-aabb-6bd5467607b2", + "source": "14", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "11afc4cb-ecf8-4705-8fc7-73a4fd32f118", + "source": "14", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "67d68151-1f57-4fcf-a424-73b49bab2739", + "source": "15", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "fcb1cc2f-c9f4-4050-8697-6542474eefa8", + "source": "15", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "6949a0e6-674c-4e7a-a5bb-802b480b6428", + "source": "18", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "5a8da6e0-7682-4aa9-a2b5-facb5460b1e5", + "source": "18", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "7107f8fe-8240-44fb-a10e-d43cd8ee6d72", + "source": "19", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "07ec3c9e-d23d-4547-87dd-b969ed2db746", + "source": "20", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "63ebd213-5e8f-4106-8799-fee48af0a409", + "source": "20", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "b9d5fb21-79ad-480d-a735-98170275f89c", + "source": "22", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "34bd52db-52c2-4a46-88fe-d10020f6980a", + "source": "22", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "cee6cd3a-8c22-4e79-a199-8666f3736de4", + "source": "23", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "6b49e9ca-4a16-46c7-a8c1-7fc70e34b5bf", + "source": "23", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "c211366b-7bf9-46c4-b78c-663aa7c29242", + "source": "23", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "64abdfa4-29eb-4c79-832c-13b7ae2cadbf", + "source": "23", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "0b005c48-e639-427f-9c98-c0e3aa1915a6", + "source": "23", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "ee77dedd-280b-4f82-808b-93d01da14317", + "source": "24", + "target": "25", + "weight": 1.0 + } + }, + { + "data": { + "id": "2ce0e7d3-ee26-48a3-a00f-614dd59fefbe", + "source": "24", + "target": "27", + "weight": 1.0 + } + }, + { + "data": { + "id": "3c7aafdf-e04e-4afd-a637-8d1c618913f4", + "source": "24", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "7869ddc3-8ebb-40be-b026-c1f637e8f0ce", + "source": "25", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "2e045a4f-e737-453a-8282-9f76f4dd4913", + "source": "26", + "target": "29", + "weight": 1.0 + } + }, + { + "data": { + "id": "eabd5845-3061-4c13-9e7b-72425ca29e08", + "source": "26", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "108877ef-9ee6-4c19-b90a-abe57bfa72f0", + "source": "27", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "7f61ac42-3de2-4a11-9419-9ce9656fdd38", + "source": "28", + "target": "31", + "weight": 1.0 + } + }, + { + "data": { + "id": "d7b2cd53-7458-4173-9b3c-81d8f582c046", + "source": "28", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "96c6a6d7-5171-4f67-ad77-f836649c4e67", + "source": "29", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "ad775633-de73-4c8d-90f5-17f296f5cfad", + "source": "29", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "0390aa4d-76b8-4e84-8bcd-0396ed622630", + "source": "30", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "e34228ad-65e3-4b3b-88c6-256eb709fd5f", + "source": "30", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "dc075716-e405-45ed-a66f-f20927ddbda7", + "source": "31", + "target": "32", + "weight": 1.0 + } + }, + { + "data": { + "id": "ea4ef7ce-61e9-43e4-b426-4c7ab05c2835", + "source": "31", + "target": "33", + "weight": 1.0 + } + }, + { + "data": { + "id": "f224455f-e2f4-4066-aeba-b964e831a2da", + "source": "32", + "target": "33", + "weight": 1.0 + } + } + ], + "nodes": [ + { + "data": { + "id": "0", + "name": "0", + "value": 0.0 + } + }, + { + "data": { + "id": "1", + "name": "1", + "value": 1.0 + } + }, + { + "data": { + "id": "2", + "name": "2", + "value": 2.0 + } + }, + { + "data": { + "id": "3", + "name": "3", + "value": 3.0 + } + }, + { + "data": { + "id": "4", + "name": "4", + "value": 4.0 + } + }, + { + "data": { + "id": "5", + "name": "5", + "value": 5.0 + } + }, + { + "data": { + "id": "6", + "name": "6", + "value": 6.0 + } + }, + { + "data": { + "id": "7", + "name": "7", + "value": 7.0 + } + }, + { + "data": { + "id": "8", + "name": "8", + "value": 8.0 + } + }, + { + "data": { + "id": "9", + "name": "9", + "value": 9.0 + } + }, + { + "data": { + "id": "10", + "name": "10", + "value": 10.0 + } + }, + { + "data": { + "id": "11", + "name": "11", + "value": 11.0 + } + }, + { + "data": { + "id": "12", + "name": "12", + "value": 12.0 + } + }, + { + "data": { + "id": "13", + "name": "13", + "value": 13.0 + } + }, + { + "data": { + "id": "14", + "name": "14", + "value": 14.0 + } + }, + { + "data": { + "id": "15", + "name": "15", + "value": 15.0 + } + }, + { + "data": { + "id": "16", + "name": "16", + "value": 16.0 + } + }, + { + "data": { + "id": "17", + "name": "17", + "value": 17.0 + } + }, + { + "data": { + "id": "18", + "name": "18", + "value": 18.0 + } + }, + { + "data": { + "id": "19", + "name": "19", + "value": 19.0 + } + }, + { + "data": { + "id": "20", + "name": "20", + "value": 20.0 + } + }, + { + "data": { + "id": "21", + "name": "21", + "value": 21.0 + } + }, + { + "data": { + "id": "22", + "name": "22", + "value": 22.0 + } + }, + { + "data": { + "id": "23", + "name": "23", + "value": 23.0 + } + }, + { + "data": { + "id": "24", + "name": "24", + "value": 24.0 + } + }, + { + "data": { + "id": "25", + "name": "25", + "value": 25.0 + } + }, + { + "data": { + "id": "26", + "name": "26", + "value": 26.0 + } + }, + { + "data": { + "id": "27", + "name": "27", + "value": 27.0 + } + }, + { + "data": { + "id": "28", + "name": "28", + "value": 28.0 + } + }, + { + "data": { + "id": "29", + "name": "29", + "value": 29.0 + } + }, + { + "data": { + "id": "30", + "name": "30", + "value": 30.0 + } + }, + { + "data": { + "id": "31", + "name": "31", + "value": 31.0 + } + }, + { + "data": { + "id": "32", + "name": "32", + "value": 32.0 + } + }, + { + "data": { + "id": "33", + "name": "33", + "value": 33.0 + } + } + ] + } + }, + "format": "cyjs", + "layout": "IPY_MODEL_43d52ad101dc4a50a64b000e2dfcd630", + "layout_name": "", + "visual_style": null + } + }, + "e4943a9b41434a8d90e4b6de8c5dae00": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + }, + "f8204cd1c2304f2ba9f1171c380efd8e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.1.0", + "model_name": "LayoutModel", + "state": {} + } + }, + "version_major": 2.0, + "version_minor": 0.0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index b2e4eb20d..b5679895e 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -142,7 +142,7 @@ "version": "3.7.1" }, "toc": { - "base_numbering": 1, + "base_numbering": 1.0, "nav_menu": {}, "number_sections": true, "sideBar": true, From 8775dcd957647ed571e99b04cc73d859a6e82d6d Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 9 Jul 2019 15:53:00 +0200 Subject: [PATCH 06/92] Pagerank imports --- docs/tutorials/clustering_Louvain.ipynb | 1704 ++++++++++++----------- docs/tutorials/index.rst | 2 +- sknetwork/clustering/louvain.py | 7 +- sknetwork/ranking/pagerank.py | 6 +- 4 files changed, 866 insertions(+), 853 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index bf560c6c7..2b986cd6c 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -7,9 +7,16 @@ "# Graph clustering by Louvain" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This notebook illustrates the clustering of a graph by the [Louvain algorithm](https://scikit-network.readthedocs.io/en/latest/reference/clustering.html#module-sknetwork.clustering)." + ] + }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:07.618442Z", @@ -26,16 +33,17 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "import matplotlib as plt" + "import warnings\n", + "warnings.filterwarnings('ignore')" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:07.938019Z", @@ -66,7 +74,7 @@ "\twith 156 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -85,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:09.211595Z", @@ -100,7 +108,7 @@ "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -112,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -121,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -130,7 +138,7 @@ "Counter({1: 12, 0: 5, 3: 11, 2: 6})" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -148,7 +156,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -162,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -176,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -187,7 +195,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -227,7 +235,7 @@ "version": "3.7.3" }, "toc": { - "base_numbering": 1.0, + "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, @@ -259,7 +267,7 @@ "id": "8af1209b-c2a8-45a1-a592-3c780a5a4027", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -267,7 +275,7 @@ "id": "f06735ba-0929-48be-8571-440a05ef1997", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -275,7 +283,7 @@ "id": "a45f9d5e-6593-4a1f-abbb-c966be29e825", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -283,7 +291,7 @@ "id": "d840b8c7-ef62-4a61-bbfc-91071864bd07", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -291,7 +299,7 @@ "id": "5e7924af-37c1-4217-806a-abd8892b2f0d", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -299,7 +307,7 @@ "id": "9647d9ce-a110-422b-b98a-c399cadc79f7", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -307,7 +315,7 @@ "id": "ec886efd-24b7-4c46-8cf2-8ff89b285a93", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -315,7 +323,7 @@ "id": "7f274155-be57-4024-8888-50c119f32d0e", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -323,7 +331,7 @@ "id": "3a113d42-64dc-4e99-bfd7-ee7929d6899e", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -331,7 +339,7 @@ "id": "eee3d5e6-0752-4c40-b8f8-e937174fc4ef", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -339,7 +347,7 @@ "id": "bd9d2a89-9568-47af-ade9-0cad2d812d05", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -347,7 +355,7 @@ "id": "3fd83b30-add5-477b-b4c4-b748945a951c", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -355,7 +363,7 @@ "id": "622f4cf2-e2bc-4379-ac66-fa7a3ebc561e", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -363,7 +371,7 @@ "id": "66cbc93e-a677-45ed-ae2f-09aadbb32b32", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -371,7 +379,7 @@ "id": "255abc79-81d1-4b1b-a8da-f0f3ad096dab", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -379,7 +387,7 @@ "id": "2417e2ca-a76b-4fcb-a0a7-f14db8b0e28c", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -387,7 +395,7 @@ "id": "e67cf4ed-a8b0-448b-b609-f710dc8fd701", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -395,7 +403,7 @@ "id": "170cad6e-02fb-4fe4-83ae-49faa3ce6e44", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -403,7 +411,7 @@ "id": "f11b6a7d-84d0-46bb-b90d-db9ccbdfc65a", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -411,7 +419,7 @@ "id": "993d6539-e92f-4356-8eff-b332ee302560", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -419,7 +427,7 @@ "id": "62abe227-fd60-47aa-934f-7bda5f0e8351", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -427,7 +435,7 @@ "id": "35172c25-f080-4c0c-abfe-e648c48f9b95", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -435,7 +443,7 @@ "id": "daee017b-b1a8-4bfc-8876-37a7a1bf8e90", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -443,7 +451,7 @@ "id": "45acb4dc-9345-4f48-bbee-8a06db88e00c", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -451,7 +459,7 @@ "id": "a330d16c-ea2b-4834-96ee-abdedb6733bc", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -459,7 +467,7 @@ "id": "e271c862-0043-40c6-9f19-a6d70e210f26", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -467,7 +475,7 @@ "id": "99843c7e-c8bb-4506-9180-39a562971155", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -475,7 +483,7 @@ "id": "c7e0fa18-ea34-4ac5-b2a8-1615f21bfac5", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -483,7 +491,7 @@ "id": "071e309f-5f0b-4e47-809e-b21a26a75685", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -491,7 +499,7 @@ "id": "19b3f084-cf2e-406b-b880-5d7e2f290b23", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -499,7 +507,7 @@ "id": "d375b865-1541-49d2-a35c-e4d03c666159", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -507,7 +515,7 @@ "id": "5f7f2bdf-1f73-4026-a5b9-4350effa8295", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -515,7 +523,7 @@ "id": "69b809e1-4c9d-4cbc-a629-4d933f0444ae", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -523,7 +531,7 @@ "id": "b187ff06-710b-4e16-a0f0-50a3d7c64aab", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -531,7 +539,7 @@ "id": "20d58914-3941-4a25-9c51-484aae5edac2", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -539,7 +547,7 @@ "id": "f98d2f44-4bad-4b00-a2b0-a9b971f04383", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -547,7 +555,7 @@ "id": "54eca3f4-7acd-4aff-83d7-f431cd82397b", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -555,7 +563,7 @@ "id": "9080245a-7f25-4cd5-95c2-04bdc9a09bd3", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -563,7 +571,7 @@ "id": "f5a5eba9-925e-4e89-889d-ac1d0e77c012", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -571,7 +579,7 @@ "id": "da6efa82-50e4-493a-ab22-750884cfe860", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -579,7 +587,7 @@ "id": "830c6407-f546-4ae6-b310-6158bd857b75", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -587,7 +595,7 @@ "id": "aaaf29ff-9024-48c4-9323-85e2088724bb", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -595,7 +603,7 @@ "id": "bf9ece80-439e-4b9b-926c-f16c8ce217c1", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -603,7 +611,7 @@ "id": "337e0e94-918e-4716-b827-34cea12bc9f9", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -611,7 +619,7 @@ "id": "5b1cacda-225d-4c86-b987-f175c1a51287", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -619,7 +627,7 @@ "id": "c018e5c6-6d90-467f-97c4-c0c387bff2fe", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -627,7 +635,7 @@ "id": "d539b814-41a4-4c68-abbe-ce32fb7a0bb5", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -635,7 +643,7 @@ "id": "1610ea43-042f-4fee-9f11-9d7a8fe4fa72", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -643,7 +651,7 @@ "id": "03f4a8aa-1882-4572-9970-4fff282155c4", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -651,7 +659,7 @@ "id": "08ede74d-8398-450d-b527-8b2e51c2c2cc", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -659,7 +667,7 @@ "id": "ef6f89c9-4158-4914-9a05-5c34fd0310bf", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -667,7 +675,7 @@ "id": "514b0524-3967-40af-b924-bd3f0a0fd32a", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -675,7 +683,7 @@ "id": "02f46a12-065c-4f11-a31e-3871e3c6ee6d", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -683,7 +691,7 @@ "id": "2d796471-3428-4558-ba26-b0a0201f36c4", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -691,7 +699,7 @@ "id": "edcd2749-8926-4326-85e4-b9a89547359f", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -699,7 +707,7 @@ "id": "eca2645b-7c3b-4e15-82b0-cf28cdabcfcd", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -707,7 +715,7 @@ "id": "60f8e69e-d66b-4feb-a256-19c577b0741d", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -715,7 +723,7 @@ "id": "97dc3e05-be38-4b36-be0e-f6f19e05b9a8", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -723,7 +731,7 @@ "id": "869f4c98-502a-4e18-8f8b-c0542b4b94df", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -731,7 +739,7 @@ "id": "36a1bfbb-25f9-4b1b-b45f-cc9e0636f61d", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -739,7 +747,7 @@ "id": "466b4920-2991-443c-b5d6-90483c578dc1", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -747,7 +755,7 @@ "id": "1d382449-4e47-4f92-b5b9-07091e3a7aa6", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -755,7 +763,7 @@ "id": "4a52e4ae-ed6f-49f8-9107-06714102ccd5", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -763,7 +771,7 @@ "id": "bfd2a32a-a45f-47d6-933d-4a8c123d7710", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -771,7 +779,7 @@ "id": "b1c050f1-e87b-4a33-bfbd-8af748bfbbc8", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -779,7 +787,7 @@ "id": "31e1fbc4-77be-45c5-b1e8-91b90577e050", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -787,7 +795,7 @@ "id": "cafae5e9-a154-4660-8437-bf66d07c658a", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -795,7 +803,7 @@ "id": "5d4c8d68-e8c8-41f1-a4e2-cd2548bca91d", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -803,7 +811,7 @@ "id": "0f2e986d-0661-4a5c-9244-7fcb3d4ead9c", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -811,7 +819,7 @@ "id": "07780435-91c5-4ad3-8997-35af47771285", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -819,7 +827,7 @@ "id": "c7da7d3b-3a99-46eb-b2b6-a1d804cd02a1", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -827,7 +835,7 @@ "id": "462e607a-0a56-4c96-aca9-5df6d52801ad", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -835,7 +843,7 @@ "id": "47b70469-86fc-447e-bbb1-778410aaf141", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -843,7 +851,7 @@ "id": "99628c5b-d324-4504-aac6-a29128b3a7de", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -851,7 +859,7 @@ "id": "62a8d051-0eff-43c8-8655-ba1829ff869c", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -859,7 +867,7 @@ "id": "dac9e4a1-6a8c-4fd3-987c-462db24f1e46", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -867,7 +875,7 @@ "id": "d94b6331-6717-4bea-b384-cc47fbb1e826", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -875,7 +883,7 @@ "id": "ab7f0d78-ffbf-4971-807d-b28a5c054dbb", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -884,238 +892,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -1156,7 +1164,7 @@ "id": "085aa101-e3f7-4fd4-b9b1-a8c1c87b0829", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -1164,7 +1172,7 @@ "id": "e149c092-b964-4ddd-ba38-ab18720d7d65", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -1172,7 +1180,7 @@ "id": "75efd62e-ab34-46db-a97f-9ec929afe1ac", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -1180,7 +1188,7 @@ "id": "ad5c7966-e2ee-40a4-ab50-3896f501fe32", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -1188,7 +1196,7 @@ "id": "45269174-3638-43f6-9c2c-6aa19a1e996a", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -1196,7 +1204,7 @@ "id": "024ae065-d756-4307-ad12-a648b77ef44a", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -1204,7 +1212,7 @@ "id": "5b4df428-66c0-4b1d-bf20-235d7d346311", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1212,7 +1220,7 @@ "id": "93d66563-a88c-4d3d-9bc0-b13062618c7c", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -1220,7 +1228,7 @@ "id": "b647b0c9-175e-415d-81e5-2902bd642265", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -1228,7 +1236,7 @@ "id": "d54c650a-74e5-48bf-84bd-f528e5e489f2", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -1236,7 +1244,7 @@ "id": "65b7d31a-2bb4-463a-906b-68275b87b4d8", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -1244,7 +1252,7 @@ "id": "b5bd1370-e0c7-430a-8dbb-a42e4138e2f0", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1252,7 +1260,7 @@ "id": "39b84ca5-14b4-4e55-903a-e31d20c2aa3b", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -1260,7 +1268,7 @@ "id": "a5f4209e-d1f4-4823-8018-58d499b330f1", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -1268,7 +1276,7 @@ "id": "c7e0799f-ac77-4d53-92ac-53262518dc8c", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -1276,7 +1284,7 @@ "id": "bd141559-2cd0-49a7-9af0-d5ea33fd1ec1", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1284,7 +1292,7 @@ "id": "0d08c6a9-16a5-4cbf-ad60-ceea9388d7dd", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -1292,7 +1300,7 @@ "id": "dddba5a7-86c4-437d-a194-8a17f23e0945", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -1300,7 +1308,7 @@ "id": "3c56f40a-5531-4d13-9658-48aaa648ad79", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1308,7 +1316,7 @@ "id": "06a93c6e-47f5-4cda-8156-ed9a246c9a20", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1316,7 +1324,7 @@ "id": "612fa6f9-ddf1-4b82-833d-83291ffd73ad", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -1324,7 +1332,7 @@ "id": "6f41cebc-6a62-407f-aef1-73825aee8f5e", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -1332,7 +1340,7 @@ "id": "6368fb74-9eeb-4d1f-b945-d55f591522e7", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -1340,7 +1348,7 @@ "id": "d1b0e70e-65a1-40bb-9ef1-49d5ec634380", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -1348,7 +1356,7 @@ "id": "e1789f81-2667-41d3-9c08-7df10a59fef5", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -1356,7 +1364,7 @@ "id": "6323ed2f-b5f1-49ba-851f-a072b8c3775b", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1364,7 +1372,7 @@ "id": "cf547378-ce49-4fa2-8c91-a013afe26ca6", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -1372,7 +1380,7 @@ "id": "5e25d24a-4fe8-4d32-804a-c951b0f3416b", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -1380,7 +1388,7 @@ "id": "4ac7fe0e-51f3-492a-ad59-ddd618cb42ce", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1388,7 +1396,7 @@ "id": "68761348-e829-4712-bd57-b5548c147493", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -1396,7 +1404,7 @@ "id": "e83adc4a-12ed-4726-860d-d5fc96ec01b7", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -1404,7 +1412,7 @@ "id": "69ce92df-c25f-468c-a0ca-15705b559859", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1412,7 +1420,7 @@ "id": "833db849-73cc-4a91-a9e5-6d5c8c7f4a5e", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1420,7 +1428,7 @@ "id": "589d0254-b4c0-44a6-9b13-4b2eec6c3492", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -1428,7 +1436,7 @@ "id": "cd36b6d1-fe97-4a02-8be7-48750b7b239d", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1436,7 +1444,7 @@ "id": "f8d70b77-7092-4add-9f52-94ac87c18edb", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -1444,7 +1452,7 @@ "id": "6135e50c-0ef5-41a9-834d-ab323450fe49", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -1452,7 +1460,7 @@ "id": "fd4ff6d9-20bf-4b8a-ad31-3efa9e340ac7", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -1460,7 +1468,7 @@ "id": "647ad804-74e2-4f53-b208-c037596619fe", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -1468,7 +1476,7 @@ "id": "b576decc-47f9-4633-951e-7591bb48a6fc", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -1476,7 +1484,7 @@ "id": "f854289e-8431-4a4f-b5f6-af3a5b760686", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -1484,7 +1492,7 @@ "id": "1e51369f-c4db-4ebf-9f56-8b0831c7e53a", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -1492,7 +1500,7 @@ "id": "082e1a14-3fed-43c6-9536-5111a7bd48fb", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1500,7 +1508,7 @@ "id": "a3411782-eefa-4a96-8241-e4dee9fa231b", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1508,7 +1516,7 @@ "id": "952918ea-c9b1-4cc7-acbf-57bb88208ada", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1516,7 +1524,7 @@ "id": "f9d06ad7-68ba-4490-9dd6-cf54e557a8ab", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1524,7 +1532,7 @@ "id": "8b9b2c05-8638-4e1f-a756-be29c6879959", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1532,7 +1540,7 @@ "id": "ad246b90-c307-402c-86aa-b1504c846df3", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1540,7 +1548,7 @@ "id": "364c68cb-87b1-49f0-a340-19dbba851841", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1548,7 +1556,7 @@ "id": "4cf6353c-ab7d-4353-8855-afe3f494c145", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1556,7 +1564,7 @@ "id": "1a99746d-c573-4195-9f67-e17eb5182d08", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1564,7 +1572,7 @@ "id": "50f9479f-29d6-4d63-be18-8a1a91dabd0d", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1572,7 +1580,7 @@ "id": "188f452d-074a-4210-8e8b-ab85fd3a993b", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1580,7 +1588,7 @@ "id": "d1b83182-0ccb-403a-a42d-afa8dc90f5c6", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1588,7 +1596,7 @@ "id": "c2cc2f11-ae7d-4c2f-8f7d-83fec6b81d85", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1596,7 +1604,7 @@ "id": "9355ea91-be49-4650-b322-8018faa15404", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1604,7 +1612,7 @@ "id": "463cd3e4-1e85-4f1a-9b82-40bb9e8ba17c", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1612,7 +1620,7 @@ "id": "a2341883-f641-487f-975f-fb15a2d98439", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -1620,7 +1628,7 @@ "id": "d40bfd18-7151-47d6-ac3a-2c240cc47e51", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -1628,7 +1636,7 @@ "id": "9b87f438-8282-4251-b36f-d9e291c3ec72", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -1636,7 +1644,7 @@ "id": "16424e1c-a663-4729-8f7a-087731569c47", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1644,7 +1652,7 @@ "id": "fa00c17b-b5e0-40a4-a373-7a781fd6f257", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1652,7 +1660,7 @@ "id": "c3e015d4-ecb5-4c6d-a648-60102d3262a3", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -1660,7 +1668,7 @@ "id": "c5cd9dcd-5226-4d18-a4f7-6b0f95fbd218", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -1668,7 +1676,7 @@ "id": "da2e9560-4583-4e68-9b9f-4806f02982a0", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1676,7 +1684,7 @@ "id": "81b6f8c1-e327-481e-aa4a-bdff154ab642", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1684,7 +1692,7 @@ "id": "ba9019bd-2ca6-4aa2-ab99-64a2c67e067a", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -1692,7 +1700,7 @@ "id": "76ec270a-0062-4ce6-bc72-6644a3b2ca3a", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1700,7 +1708,7 @@ "id": "c1c7721b-3ce5-4bb4-b6ca-c293184e4c67", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1708,7 +1716,7 @@ "id": "79d6053a-ed86-4fcc-8ac8-5935976e0793", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1716,7 +1724,7 @@ "id": "fe6c5aa6-f3af-4293-9289-44d95671d12f", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1724,7 +1732,7 @@ "id": "5b6015e1-bbfa-4898-b56e-72a25f7ef205", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1732,7 +1740,7 @@ "id": "14ebd0af-6647-4c9e-8543-d515787ae3be", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1740,7 +1748,7 @@ "id": "70ced8a7-1b57-4a17-a782-a2760651efb4", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1748,7 +1756,7 @@ "id": "34f84f00-9419-4835-9375-b334950b6fa2", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1756,7 +1764,7 @@ "id": "e34fd8c1-6369-4b5c-b0e9-5215de67e6e3", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1764,7 +1772,7 @@ "id": "75ebf962-1627-412a-876b-0b3640e11cdc", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1772,7 +1780,7 @@ "id": "f4dca068-f3a2-4dec-b185-62a1bf667298", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -1781,238 +1789,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -2038,44 +2046,44 @@ "edges": [ { "data": { - "source": 0.0, - "target": 1.0, - "weight": 1.0 + "source": 0, + "target": 1, + "weight": 1 } }, { "data": { - "source": 0.0, - "target": 4.0, - "weight": 1.0 + "source": 0, + "target": 4, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 2.0, - "weight": 1.0 + "source": 1, + "target": 2, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 4.0, - "weight": 1.0 + "source": 1, + "target": 4, + "weight": 1 } }, { "data": { - "source": 2.0, - "target": 3.0, - "weight": 1.0 + "source": 2, + "target": 3, + "weight": 1 } }, { "data": { - "source": 3.0, - "target": 4.0, - "weight": 1.0 + "source": 3, + "target": 4, + "weight": 1 } } ], @@ -2084,35 +2092,35 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } } ] @@ -2147,7 +2155,7 @@ "id": "620f04e8-c6ee-470e-930b-6d0240430634", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -2155,7 +2163,7 @@ "id": "68d58a21-c636-4671-896c-7c4a8e5d98b7", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -2163,7 +2171,7 @@ "id": "8b198916-3067-44db-9ed4-b0da60de22c8", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -2171,7 +2179,7 @@ "id": "f9467cb2-4761-4683-b105-450c13597fbc", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -2179,7 +2187,7 @@ "id": "3d3ba002-9bb4-4236-be65-4aa3108e60ec", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -2187,7 +2195,7 @@ "id": "9f4b0ce0-3802-46aa-9506-529c30d959be", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -2195,7 +2203,7 @@ "id": "be99d84b-fd72-47b7-829c-844084a17bd8", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2203,7 +2211,7 @@ "id": "bd00d3e1-cd2d-4c2b-bba6-b9652183ec73", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -2211,7 +2219,7 @@ "id": "34bb9318-c802-483a-b004-1f171ee3ec8e", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -2219,7 +2227,7 @@ "id": "5aa8c4d9-ca9b-4d4d-a645-f11a6ddea783", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -2227,7 +2235,7 @@ "id": "7b72fc84-cc3b-4d62-b531-ced96562989c", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -2235,7 +2243,7 @@ "id": "b570f07d-4d71-46d6-bb84-0c36f52a2e2a", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2243,7 +2251,7 @@ "id": "0013a18f-86a5-4c44-b719-95b333f15a09", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -2251,7 +2259,7 @@ "id": "cab9df27-fc49-4551-b4eb-fda81eb0796d", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -2259,7 +2267,7 @@ "id": "103a1a0c-5e26-4fb9-b9db-8c16dd3c11d8", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -2267,7 +2275,7 @@ "id": "34c56149-2fce-40a3-80a0-35850026c838", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2275,7 +2283,7 @@ "id": "85becf7b-6a44-427a-a3f6-edcdf7ecb3a1", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -2283,7 +2291,7 @@ "id": "258a019b-d339-44b4-b5b0-46f7753c6675", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -2291,7 +2299,7 @@ "id": "f3ab35d4-0adf-42f6-8c5b-12e82359889e", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2299,7 +2307,7 @@ "id": "5b5c451a-02b5-45ea-aff4-a07da2ff8500", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2307,7 +2315,7 @@ "id": "6ea4a4fa-1513-40b9-ba32-19286a2053ec", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -2315,7 +2323,7 @@ "id": "89d18912-eb43-4cd8-99b7-53939f460023", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -2323,7 +2331,7 @@ "id": "fdb41128-e261-4def-b8b9-dc0fd30b9495", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -2331,7 +2339,7 @@ "id": "5ba5ddc6-7bb8-493e-9742-168f4dc0680f", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -2339,7 +2347,7 @@ "id": "a6f41c9a-3c81-47ce-96c9-e66bb32cfddf", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -2347,7 +2355,7 @@ "id": "d7628d0b-6da6-42e7-9bfa-250c7a0a5187", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2355,7 +2363,7 @@ "id": "19efee0b-c521-48c4-b9f5-b6d4ec13ddb9", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -2363,7 +2371,7 @@ "id": "28317596-3de6-4cf5-a929-68d0f9940b7d", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -2371,7 +2379,7 @@ "id": "bee0bd63-9cb7-4aa8-8e07-0df52f9a9183", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2379,7 +2387,7 @@ "id": "3eabf4b5-649f-4904-8e7b-68f9c0bfa2d3", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -2387,7 +2395,7 @@ "id": "50e7b0aa-86b8-4509-b454-96fdf99a1419", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -2395,7 +2403,7 @@ "id": "53f4bad1-b678-44ce-b629-19b0c2ae0073", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2403,7 +2411,7 @@ "id": "88b02e59-109e-484f-a1bd-2edc638c61b8", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2411,7 +2419,7 @@ "id": "3ea26939-66fd-4883-8167-78b496d7f820", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -2419,7 +2427,7 @@ "id": "52949a82-d230-4734-b60e-000a114412b2", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2427,7 +2435,7 @@ "id": "34d8f605-46be-4833-aeb0-7b34569458f4", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -2435,7 +2443,7 @@ "id": "a781407f-6ea9-447e-a4a7-78d5eba4382e", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -2443,7 +2451,7 @@ "id": "30f3d5b9-5c50-4f4f-b4fa-0aefd6b4edd3", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -2451,7 +2459,7 @@ "id": "b8e6cccc-6f69-40ab-9de9-1bf9f40ab4ed", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -2459,7 +2467,7 @@ "id": "ac5a01e6-af66-4caf-989c-cd93e0290ea8", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -2467,7 +2475,7 @@ "id": "bba44e08-f0f7-499c-9d81-1ba72230effd", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -2475,7 +2483,7 @@ "id": "300d0502-3bfe-4ebc-9499-2e6701f0c836", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -2483,7 +2491,7 @@ "id": "facbf0ae-1014-4905-8413-eb9a500a79f6", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2491,7 +2499,7 @@ "id": "147054c5-1385-4a3c-a749-d8c23ec01905", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2499,7 +2507,7 @@ "id": "6d87a9cc-5fd0-4bb0-975e-a9d43f88ed0d", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2507,7 +2515,7 @@ "id": "1a9e116f-0959-435f-bd8b-dfd7b7f127f0", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2515,7 +2523,7 @@ "id": "7c348d4b-0358-4113-bee7-e5e69165b34d", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2523,7 +2531,7 @@ "id": "ed89a088-7900-4095-92ba-587ce431b388", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2531,7 +2539,7 @@ "id": "91479544-bc11-4479-b888-aad10e8e5a94", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2539,7 +2547,7 @@ "id": "de69dc69-febb-4031-b60f-8039788251ab", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2547,7 +2555,7 @@ "id": "ba567e3f-5b30-42d9-8d07-ee53e7b6bbc6", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2555,7 +2563,7 @@ "id": "c4dbe0e5-43d0-4c8f-89bb-f8115a6d2645", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2563,7 +2571,7 @@ "id": "560a3062-4624-48ff-8538-c625cfd58958", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2571,7 +2579,7 @@ "id": "457410bb-dd44-4b18-a7ff-8ed4dc55071d", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2579,7 +2587,7 @@ "id": "6e781602-9d97-4765-9607-9bb1c3f43bf8", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2587,7 +2595,7 @@ "id": "33683a53-2a55-4e82-8144-e4dac89d1553", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2595,7 +2603,7 @@ "id": "38ae90bb-00b9-4977-9e13-be34ce92a8af", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2603,7 +2611,7 @@ "id": "6ed65ab5-f7f0-456e-a894-1a1247bda903", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -2611,7 +2619,7 @@ "id": "07ade42a-2bcf-42d3-b11d-dc3a938819da", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -2619,7 +2627,7 @@ "id": "3b1b1035-3177-45aa-b37d-48b971bcf3c9", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -2627,7 +2635,7 @@ "id": "b7f43b21-32ca-43ed-97dd-19fa696207ae", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2635,7 +2643,7 @@ "id": "0176113c-be0a-4472-96bb-88aac0a4a2fd", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2643,7 +2651,7 @@ "id": "3cb29b1d-b369-46c7-bbb4-c99c54d9fd24", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -2651,7 +2659,7 @@ "id": "b5db8d5e-e1ca-43ff-a2c7-5fc7ca9e38c8", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -2659,7 +2667,7 @@ "id": "4e9277a3-0777-45b1-a45a-69e95344799f", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2667,7 +2675,7 @@ "id": "be87ef53-de3a-4b13-9773-fcb78ef9ea34", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2675,7 +2683,7 @@ "id": "c1a58aa7-212e-4cb4-b8a2-50af44656cad", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -2683,7 +2691,7 @@ "id": "624417f6-e4ef-401f-a2cd-14248912c8fe", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2691,7 +2699,7 @@ "id": "41c33479-b634-4548-8ecb-5806bc26e6c2", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2699,7 +2707,7 @@ "id": "6a34e049-6cee-4e4a-9931-3343a810a51a", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2707,7 +2715,7 @@ "id": "a7406893-0852-404a-8119-648ddcd56664", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2715,7 +2723,7 @@ "id": "98fa5692-76da-41e3-8521-e8b84a01a435", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2723,7 +2731,7 @@ "id": "f6095009-2afa-48b1-8e43-7c372def30dc", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2731,7 +2739,7 @@ "id": "2ee4ce25-ddc0-4ebf-94bd-2889fcd49ddb", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2739,7 +2747,7 @@ "id": "b2103473-cff6-478c-87f9-4791b917b41e", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2747,7 +2755,7 @@ "id": "21d0de12-d17b-43b6-8984-e1784b23f2b8", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2755,7 +2763,7 @@ "id": "75bf7654-0d11-4da5-a801-f869a7c9d710", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2763,7 +2771,7 @@ "id": "8cf059be-1900-4632-8730-d0da7fe91ba2", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -2772,238 +2780,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -3032,7 +3040,7 @@ "id": "e6b5a987-0a09-41c6-aa59-6744980866b9", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -3040,7 +3048,7 @@ "id": "dbfbdeda-04d9-47ef-9086-73a087f63230", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -3048,7 +3056,7 @@ "id": "d04b685e-cf78-4f66-80c5-81964d1fe12b", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3056,7 +3064,7 @@ "id": "e3ef850a-25cb-455b-ae55-d11950a78f8f", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -3064,7 +3072,7 @@ "id": "401fa79f-898a-4d17-9269-01a18805a7fe", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -3072,7 +3080,7 @@ "id": "748dd0c0-7566-4ac5-95fe-96d2c988e748", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3080,7 +3088,7 @@ "id": "774f6f0d-94a4-4ac1-abc5-b516b177cebd", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3088,7 +3096,7 @@ "id": "765d1e0b-1146-4b8d-881d-1bf547cdc3d6", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -3096,7 +3104,7 @@ "id": "56e43c73-9121-4343-880d-a5bf08112893", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3104,7 +3112,7 @@ "id": "4251b760-3a67-4442-9fc6-b04fe2b3d660", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -3112,7 +3120,7 @@ "id": "23920fbb-a90f-44a2-a65b-ed52a26f2dde", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -3120,7 +3128,7 @@ "id": "86aab285-a5e0-4548-b9e9-f7434fa0da2e", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3128,7 +3136,7 @@ "id": "de9029f7-9546-423b-bf07-17fd5df4630d", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -3136,7 +3144,7 @@ "id": "dd9cd57f-62fa-4c2f-ae4d-00ab87bcb7c1", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -3144,7 +3152,7 @@ "id": "aed6dcae-120a-489c-b52c-1c9713cf1720", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -3152,7 +3160,7 @@ "id": "eb45eefb-923e-4ad0-b7d5-fe54a323c958", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3160,7 +3168,7 @@ "id": "1e552ed4-49a7-48b4-b913-cd4624dd0321", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -3168,7 +3176,7 @@ "id": "bbdc6093-e158-4943-8f07-1c23fa87080f", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3176,7 +3184,7 @@ "id": "735ca118-a5a7-432d-b22c-76989e8828bd", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3184,7 +3192,7 @@ "id": "be82aeab-0815-4832-9164-6a3ab3f1706b", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3192,7 +3200,7 @@ "id": "a01b8742-9ed0-4554-b60d-be98c15273d9", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -3200,7 +3208,7 @@ "id": "fb841ecf-ce55-4c96-b337-2770046a1fed", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -3208,7 +3216,7 @@ "id": "6ba9b977-b7b4-4d16-a5b1-2d75c87a548f", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -3216,7 +3224,7 @@ "id": "93737ca3-294b-4aa8-8676-be1f668eb881", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -3224,7 +3232,7 @@ "id": "7d8d69c2-258a-4a23-b9a3-366f654dc511", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3232,7 +3240,7 @@ "id": "9418ff08-e252-47b5-b7eb-2dee869a8203", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3240,7 +3248,7 @@ "id": "7191c853-81f1-449d-86a8-502b3bd06731", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -3248,7 +3256,7 @@ "id": "273353f4-e02a-429a-b350-b615df2625d0", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -3256,7 +3264,7 @@ "id": "73003209-c15c-4444-be5f-bd60657f4429", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3264,7 +3272,7 @@ "id": "55464495-1623-46d7-a8da-a47a4209783b", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -3272,7 +3280,7 @@ "id": "feebb1f7-c212-425b-a0f4-9b95b2dbe653", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -3280,7 +3288,7 @@ "id": "1a9d10a8-34a8-4d71-aafc-6404988292ef", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3288,7 +3296,7 @@ "id": "683b3002-6fe1-4b70-95d6-d6970c254ac8", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3296,7 +3304,7 @@ "id": "f9aadc9f-65e3-433e-8248-414ef0197019", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -3304,7 +3312,7 @@ "id": "b1bc184f-0393-4c50-9373-84507141ae87", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3312,7 +3320,7 @@ "id": "fd76429a-adc9-44fa-a455-fc1fad171b19", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3320,7 +3328,7 @@ "id": "99925a0d-fc35-4580-9540-67d38196531d", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3328,7 +3336,7 @@ "id": "d50a8336-64b9-4ee4-a722-399423f53c04", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3336,7 +3344,7 @@ "id": "b0244cb8-2eda-4154-8209-ac14e2052785", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3344,7 +3352,7 @@ "id": "53bf60c4-e7ab-4f0c-a003-eb8282d844a4", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -3352,7 +3360,7 @@ "id": "fa087b1c-865f-4721-92e2-1b4c94ef9dcd", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -3360,7 +3368,7 @@ "id": "132dbde2-99c5-4234-9fec-580c2045f6ba", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -3368,7 +3376,7 @@ "id": "058dcd31-aa8d-4d30-ac6a-e1c9e4b772e7", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3376,7 +3384,7 @@ "id": "5d7a20d0-1a6b-4188-aa9c-04f361f406b9", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3384,7 +3392,7 @@ "id": "67939b85-c4bb-43b2-a143-986ba50d3727", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3392,7 +3400,7 @@ "id": "e993e29d-d2e8-4908-8c71-4d426f37b50f", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3400,7 +3408,7 @@ "id": "c1331ea8-b65b-45c0-81c6-bec45505a6a5", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3408,7 +3416,7 @@ "id": "5ba23511-5651-42ff-a0f4-d7f343f89f0b", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3416,7 +3424,7 @@ "id": "7b79c0be-1cbe-463e-996d-b008dc250861", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3424,7 +3432,7 @@ "id": "70b650f4-d0aa-42db-b57e-2a9785eb5ac9", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3432,7 +3440,7 @@ "id": "2b37bc91-2643-4847-af75-2e0706827e0d", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3440,7 +3448,7 @@ "id": "eb005df2-b3b7-48ee-baa9-99f223081a39", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3448,7 +3456,7 @@ "id": "e22cdbab-27d5-450e-8d24-5baf1cd85f0c", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3456,7 +3464,7 @@ "id": "cd67ec96-980d-466d-a03e-805054b0b71e", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3464,7 +3472,7 @@ "id": "d3451fbe-e812-4f97-a862-af590dde1450", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3472,7 +3480,7 @@ "id": "99bb4d1e-c532-4647-834e-dfc3664100e3", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3480,7 +3488,7 @@ "id": "4a837dfd-f7a3-4e76-a792-e81248bda264", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3488,7 +3496,7 @@ "id": "417f30f5-d791-425f-81b1-8ea8655b2416", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -3496,7 +3504,7 @@ "id": "dd4db35b-eaec-4937-9009-86d5b511dbde", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -3504,7 +3512,7 @@ "id": "f1b2e0a3-2e2f-43c2-8c50-7372a6f422d3", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -3512,7 +3520,7 @@ "id": "65233fb2-9877-44be-b028-d36dd94041d9", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3520,7 +3528,7 @@ "id": "96f8626a-3a4d-4ed0-b74e-bbcf82e004d0", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3528,7 +3536,7 @@ "id": "502f2e57-8465-4e9c-8b6b-8b93898525f2", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -3536,7 +3544,7 @@ "id": "6d23c1ef-bb4d-44a8-9771-fa3b077d8447", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -3544,7 +3552,7 @@ "id": "dc6832f5-5c23-4ef4-9499-43b41818e0a3", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3552,7 +3560,7 @@ "id": "236a0a65-1e56-4a11-b521-ad88c2550119", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3560,7 +3568,7 @@ "id": "cc0ed55c-797e-44f5-a148-71e8056b21b9", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -3568,7 +3576,7 @@ "id": "c8006287-f159-46c7-a700-8e50718791a5", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3576,7 +3584,7 @@ "id": "1d3582b1-ef5d-4669-b466-abd4eaf02d85", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3584,7 +3592,7 @@ "id": "6729b210-447e-41e8-adec-c6dff2a289b0", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3592,7 +3600,7 @@ "id": "8e96fffd-1fe3-4ed9-8c7b-8bde2aaf6e9f", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3600,7 +3608,7 @@ "id": "b49ee94e-e5f8-4801-8165-59d3ed4b1161", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3608,7 +3616,7 @@ "id": "bc268abf-507e-494d-aaed-dd58e5ff426c", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3616,7 +3624,7 @@ "id": "0a79677d-7273-4df3-a265-3e3e80c77b62", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3624,7 +3632,7 @@ "id": "b0ff63a8-38e4-4d64-b3fe-d806fad643cc", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3632,7 +3640,7 @@ "id": "22e8dedc-72c1-4fb2-97fd-68cd8d2a95ac", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3640,7 +3648,7 @@ "id": "3fb10e17-9250-4d83-b3e1-e40fd7629013", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3648,7 +3656,7 @@ "id": "c997c756-95ca-41d3-840b-7ea300a24bd5", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -3657,238 +3665,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -3917,7 +3925,7 @@ "id": "57683d03-5e0e-4dc6-9348-76bf13360107", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -3925,7 +3933,7 @@ "id": "0d3130dc-1f13-45ba-8b40-49299ab6e7f5", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -3933,7 +3941,7 @@ "id": "f53595c4-d242-4e0e-8aa0-1890d40516fe", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3941,7 +3949,7 @@ "id": "10832546-c693-4648-8308-61787db29fa6", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -3949,7 +3957,7 @@ "id": "9cdafbfc-a4e7-432a-a06b-927d203b8dd8", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -3957,7 +3965,7 @@ "id": "d1481315-b5cf-4497-8d11-775140c97393", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3965,7 +3973,7 @@ "id": "44a41525-9920-4e09-b506-944fad7e7d5e", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3973,7 +3981,7 @@ "id": "9fcbbd25-59cc-40e3-86cf-570ceb4094f1", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -3981,7 +3989,7 @@ "id": "9d224eed-35d2-47b2-be0e-86f7ee61d136", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3989,7 +3997,7 @@ "id": "64a122da-7d0b-425c-95ff-cf19b2c57799", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -3997,7 +4005,7 @@ "id": "67cc5d26-f2e6-4591-b430-4e9527c76354", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -4005,7 +4013,7 @@ "id": "4a85166d-2209-4497-8486-fa5df8a0f7c4", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4013,7 +4021,7 @@ "id": "818b0e02-9b3a-4b88-bcc1-621af9d3984c", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -4021,7 +4029,7 @@ "id": "2818b998-6c48-40c6-9281-ff762c4576ba", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -4029,7 +4037,7 @@ "id": "c926069c-b336-456e-a721-882b0b318c1f", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -4037,7 +4045,7 @@ "id": "b5c821ff-064e-43fa-b5ef-7f22654eb9a4", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4045,7 +4053,7 @@ "id": "b93e10fe-da76-4f9e-aa30-976470048b4e", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -4053,7 +4061,7 @@ "id": "f21ef70d-de60-4467-a796-2fe2b8979256", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -4061,7 +4069,7 @@ "id": "9dd3ee2a-5ede-4799-950a-3edfe087cd15", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4069,7 +4077,7 @@ "id": "343a10b6-5988-43b6-8644-fc729cd39668", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4077,7 +4085,7 @@ "id": "fdf27ade-a018-4787-abca-c7ca41d3ccb4", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -4085,7 +4093,7 @@ "id": "b2a5e74a-75d1-4778-9cb6-c2033a893ae7", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -4093,7 +4101,7 @@ "id": "15a7b4ef-6e67-4428-8a57-1c8b13ca110a", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -4101,7 +4109,7 @@ "id": "384ab13b-5885-4360-aac4-77402ac1ea8f", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -4109,7 +4117,7 @@ "id": "b3a8e238-9c4f-4c6e-9ff8-3521f0e36481", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -4117,7 +4125,7 @@ "id": "82887643-50b2-48a9-b650-567928ab6841", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4125,7 +4133,7 @@ "id": "99ca64f3-23fe-46cd-b610-5753545850ee", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -4133,7 +4141,7 @@ "id": "a7ddc508-a962-4557-ad05-703f04cf822a", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -4141,7 +4149,7 @@ "id": "a7ebbccb-05b4-4002-9a5d-113cce73537b", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4149,7 +4157,7 @@ "id": "6ac1d361-5470-472f-b465-23eb66c40f98", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -4157,7 +4165,7 @@ "id": "fbce9fb2-e749-4e10-b623-28ab7f465086", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -4165,7 +4173,7 @@ "id": "5aadd964-cd7a-43fa-a53a-d9058a1ea563", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4173,7 +4181,7 @@ "id": "802b58e9-9716-4b2e-809e-539abb4026f0", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4181,7 +4189,7 @@ "id": "ee0c4ee3-f785-4e7a-b0f9-3952afc05434", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -4189,7 +4197,7 @@ "id": "202fe3cb-dca3-432c-9472-c2c606b66391", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4197,7 +4205,7 @@ "id": "499bbdee-7e45-43f4-bbd5-1e878febabca", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -4205,7 +4213,7 @@ "id": "373b9990-06c9-44dc-8ecf-0177d742c6df", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -4213,7 +4221,7 @@ "id": "3dbe6a3c-4d13-470a-854d-4f2e6526c5ef", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -4221,7 +4229,7 @@ "id": "2444b3e9-4ba0-4865-b885-836d3ede9eaa", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -4229,7 +4237,7 @@ "id": "4a80ae48-952a-436b-9451-8f0ca88fdbe3", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -4237,7 +4245,7 @@ "id": "47d1ceb5-2fe0-42c7-bda4-31bd100b6da7", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -4245,7 +4253,7 @@ "id": "732798e4-2031-4658-867f-9b4bbe8659c5", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -4253,7 +4261,7 @@ "id": "b971a074-3b58-4a40-85b6-4ac7665e8907", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4261,7 +4269,7 @@ "id": "0cde8b2c-9897-49c7-a270-95598f553c7f", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4269,7 +4277,7 @@ "id": "f0a498a5-562f-4ce1-a429-0c27e452eb6d", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4277,7 +4285,7 @@ "id": "f2301bea-5d06-4a1d-810e-ee522e60c2a4", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4285,7 +4293,7 @@ "id": "bf1d042e-eac9-4b70-a0a1-4309f1e77282", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4293,7 +4301,7 @@ "id": "afdd392a-1a22-42d2-a278-61714d9553aa", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4301,7 +4309,7 @@ "id": "9eaa2100-9872-45fa-87ab-ea6341163179", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4309,7 +4317,7 @@ "id": "84f12456-ed72-49d9-a97d-eff47a4618d0", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4317,7 +4325,7 @@ "id": "fca2e358-8e22-48e6-b6ce-0ad119feb0fd", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4325,7 +4333,7 @@ "id": "8ac132f9-1e5c-48f7-a73e-eb5d8cedcab9", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4333,7 +4341,7 @@ "id": "24fe0d53-1dc6-46c5-964a-4653be2eee05", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4341,7 +4349,7 @@ "id": "1418f9c1-d67c-4c48-8b24-f611caaebb7d", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4349,7 +4357,7 @@ "id": "fc11a592-39cf-44a3-9fb7-4c53c9287408", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4357,7 +4365,7 @@ "id": "dd038e26-f5f9-4888-bf11-16688cc4e47f", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4365,7 +4373,7 @@ "id": "4dcd4567-d207-424d-8f08-89f3cbea3f40", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4373,7 +4381,7 @@ "id": "e2c3aa0f-84d6-4910-94ca-d1f833bbcb42", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -4381,7 +4389,7 @@ "id": "8f4c250c-2a6b-45c6-85e5-18ad6483d646", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -4389,7 +4397,7 @@ "id": "0a620bf5-7167-47fb-9f75-9f18bc6b64b7", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -4397,7 +4405,7 @@ "id": "2ebd1099-6fd2-43bc-b32b-57900fd46e00", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4405,7 +4413,7 @@ "id": "285065a2-6f57-4869-bbb6-ddbdd86f79af", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4413,7 +4421,7 @@ "id": "5aed2dc9-7a79-4275-8298-402a93814048", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -4421,7 +4429,7 @@ "id": "d9fd98d6-7153-4f39-9d99-4646afbe7c19", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -4429,7 +4437,7 @@ "id": "cd6da3ae-6640-4787-8c93-e2ef69c0c958", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4437,7 +4445,7 @@ "id": "2ae8dc81-17a4-4c08-aed8-c44e32c9dcf9", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4445,7 +4453,7 @@ "id": "5f593c39-d703-49f0-b25a-e62af4a242e3", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -4453,7 +4461,7 @@ "id": "2cdddeb3-6bbf-4bf7-bac5-b715ede01f83", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4461,7 +4469,7 @@ "id": "2c2e8436-2cf5-4544-a314-c95550c35240", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4469,7 +4477,7 @@ "id": "46807576-2dc8-4403-aba6-5379dfe65599", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4477,7 +4485,7 @@ "id": "e29bab8b-ab88-4fdb-a449-e6b211ed96ba", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4485,7 +4493,7 @@ "id": "7a82bb13-91f4-415b-a5a6-d0f4e1902b96", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4493,7 +4501,7 @@ "id": "0e8add9d-d0ad-4de0-8c45-12f25bb18cf6", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4501,7 +4509,7 @@ "id": "0c032f97-c2f1-4dc5-875f-0285b0e5c7bb", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4509,7 +4517,7 @@ "id": "85551060-3f52-4b92-8fd7-66995a3ead87", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4517,7 +4525,7 @@ "id": "78f958a4-9de3-4457-9129-6cbb2625130a", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4525,7 +4533,7 @@ "id": "68084c65-23a8-4d3c-80e6-d87f481254c0", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4533,7 +4541,7 @@ "id": "33df238f-2b89-4530-9a3c-e5714cd84e59", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -4542,238 +4550,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -4811,44 +4819,44 @@ "edges": [ { "data": { - "source": 0.0, - "target": 1.0, - "weight": 1.0 + "source": 0, + "target": 1, + "weight": 1 } }, { "data": { - "source": 0.0, - "target": 4.0, - "weight": 1.0 + "source": 0, + "target": 4, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 2.0, - "weight": 1.0 + "source": 1, + "target": 2, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 4.0, - "weight": 1.0 + "source": 1, + "target": 4, + "weight": 1 } }, { "data": { - "source": 2.0, - "target": 3.0, - "weight": 1.0 + "source": 2, + "target": 3, + "weight": 1 } }, { "data": { - "source": 3.0, - "target": 4.0, - "weight": 1.0 + "source": 3, + "target": 4, + "weight": 1 } } ], @@ -4857,35 +4865,35 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } } ] @@ -4926,7 +4934,7 @@ "id": "551fd1b3-5a93-4f15-ab93-7485f9cc2116", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -4934,7 +4942,7 @@ "id": "a8b84537-7766-46a9-9c2a-adeccd0b7d32", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -4942,7 +4950,7 @@ "id": "c1b923e3-df7c-47ef-9a05-b566e8bb04f7", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -4950,7 +4958,7 @@ "id": "13aaf40f-e97b-4171-ba7f-621e9defb345", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -4958,7 +4966,7 @@ "id": "51aad585-f5e8-4a66-8780-54af075e62c4", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -4966,7 +4974,7 @@ "id": "27c8fad8-6f0b-4747-aa1b-77b1c670e9c2", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -4974,7 +4982,7 @@ "id": "bbef9a77-12f1-4062-9170-22d8dc1ecfea", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4982,7 +4990,7 @@ "id": "a27e6411-140d-4f85-bbf3-3d959d7791f7", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -4990,7 +4998,7 @@ "id": "d9da351e-fa80-4ddb-8fe6-6a2d0c60cb2f", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -4998,7 +5006,7 @@ "id": "7064826a-c7e9-46a3-9dce-548fd4f77f4b", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -5006,7 +5014,7 @@ "id": "da2f93bc-eb6b-42c4-9090-384c4be6f5e8", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -5014,7 +5022,7 @@ "id": "9886c237-0eba-4bff-b534-5190bd03c398", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5022,7 +5030,7 @@ "id": "ecd26111-bba7-4d5a-bacf-9a41885ccbd1", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5030,7 +5038,7 @@ "id": "f387b0a4-55b1-46e0-b572-fb443520654a", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5038,7 +5046,7 @@ "id": "aed37cac-12c1-4b74-8c90-15de76ec30e5", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -5046,7 +5054,7 @@ "id": "e07f34a2-960e-4311-a9ac-5c40b93b3409", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5054,7 +5062,7 @@ "id": "cdf78fd3-1738-4be6-b965-2fab494bf40c", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -5062,7 +5070,7 @@ "id": "4dcd6b4d-2e01-443e-ab03-723a6e48692f", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5070,7 +5078,7 @@ "id": "d163602b-b33b-4cc2-bb76-18e4a102bce3", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5078,7 +5086,7 @@ "id": "b912f732-e191-4d0a-9ef0-3b8aef5f3b45", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5086,7 +5094,7 @@ "id": "bab99a05-d216-4908-9ec2-e50bbb1ff8da", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5094,7 +5102,7 @@ "id": "d8b94174-566d-48d6-b29d-cc796505f8dd", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5102,7 +5110,7 @@ "id": "f1893c52-a51a-439b-bda3-1c67cc2fad34", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -5110,7 +5118,7 @@ "id": "75f82446-cf15-461e-b520-f527c95eae2b", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -5118,7 +5126,7 @@ "id": "633b270c-52a4-4c4d-a943-59791a61bad8", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5126,7 +5134,7 @@ "id": "1dbd0ced-983b-420a-ae51-83711be0e97c", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5134,7 +5142,7 @@ "id": "6908943f-051c-4845-83e7-c7f05529261d", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -5142,7 +5150,7 @@ "id": "b9368201-d47b-4cf5-8c2b-1fb82013d868", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -5150,7 +5158,7 @@ "id": "46d53645-d59a-4f21-ac95-ac014e8f046d", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5158,7 +5166,7 @@ "id": "bd4ab14f-e279-4a88-8c12-ab5d8413a281", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -5166,7 +5174,7 @@ "id": "156aa20e-dce1-4c62-ae25-4cbf439e2911", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -5174,7 +5182,7 @@ "id": "e76a5751-40f3-4d30-bc7c-2e48e988d8c2", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5182,7 +5190,7 @@ "id": "714a1e78-0d04-4729-8189-0e7f6bc52b56", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5190,7 +5198,7 @@ "id": "a7699505-ce04-4b40-88de-c1573e19c563", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -5198,7 +5206,7 @@ "id": "4404d7f1-7eb1-47b4-9c2b-264ff5483461", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5206,7 +5214,7 @@ "id": "f531fc39-1653-424e-8485-f23237bbf745", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -5214,7 +5222,7 @@ "id": "26737cae-d454-46e4-9378-1c8b874639bd", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -5222,7 +5230,7 @@ "id": "d03a21d9-2031-4b21-934f-35331e6f3a96", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -5230,7 +5238,7 @@ "id": "79549152-aa85-4d12-915f-ad5309bac470", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -5238,7 +5246,7 @@ "id": "d79bc45d-120b-4aec-9cfa-8bccc4cb9642", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -5246,7 +5254,7 @@ "id": "501b135c-c393-4e56-9146-05783401b44f", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -5254,7 +5262,7 @@ "id": "8dfc3091-e3ee-4137-8d6f-496622f48eb6", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -5262,7 +5270,7 @@ "id": "91242b9e-d62a-4250-ada3-b02de728b6cb", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5270,7 +5278,7 @@ "id": "b3afc64e-8bb0-4bfc-8e80-77a09ed33d80", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5278,7 +5286,7 @@ "id": "b6f50c48-2e7c-450c-8f03-90b598597278", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5286,7 +5294,7 @@ "id": "76ceae9f-c4ef-4941-824a-db1b76f8920f", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5294,7 +5302,7 @@ "id": "bfbd8a56-04be-4149-b32a-6df964d21a2f", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5302,7 +5310,7 @@ "id": "ff907bf4-fc81-4072-85e9-01a81fc4c99d", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5310,7 +5318,7 @@ "id": "09460376-2f72-4cd0-b9f7-02206f6917ed", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5318,7 +5326,7 @@ "id": "9a569d58-79cf-4f89-841a-d8ed9f8c9526", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5326,7 +5334,7 @@ "id": "b5af13c8-7f4c-4d06-a4c0-2a5cfa9b20ab", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5334,7 +5342,7 @@ "id": "af7f6587-56eb-466e-9307-cb992b558277", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5342,7 +5350,7 @@ "id": "44b6da03-c650-4a71-8d7b-9e21a7c03ba8", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5350,7 +5358,7 @@ "id": "a596cdad-9e21-4012-af92-df7ff9c35fce", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5358,7 +5366,7 @@ "id": "c3567bd5-2096-4355-a009-4c9b9e801dbb", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5366,7 +5374,7 @@ "id": "f4a91c35-48e4-42a7-8b79-1dfb10059542", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5374,7 +5382,7 @@ "id": "f496efcc-ec4b-41d0-b726-7b22e9355cf5", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5382,7 +5390,7 @@ "id": "aead3dc6-0009-4a06-832a-74bfc6961efa", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -5390,7 +5398,7 @@ "id": "66cdd7a7-0c3d-4433-b4c3-22f5450d2d83", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -5398,7 +5406,7 @@ "id": "c8e52f03-c603-47f7-9d01-b6cacd068b17", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -5406,7 +5414,7 @@ "id": "e86fd050-58b5-459c-bc0a-5d77594834d5", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5414,7 +5422,7 @@ "id": "1441c9dc-bbc5-4ee7-b1a2-4cceee2d4641", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5422,7 +5430,7 @@ "id": "7459b539-f799-44f4-bb32-b279db9c35c5", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -5430,7 +5438,7 @@ "id": "8ced93d4-6a69-448d-a79b-ba56688b8b58", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -5438,7 +5446,7 @@ "id": "330eb1db-0a72-450d-933e-1f4517da5494", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5446,7 +5454,7 @@ "id": "9b0e8ac3-fefd-4bcf-822e-f68e0bc08269", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5454,7 +5462,7 @@ "id": "073c2ccb-dc0a-454c-80c2-db85f941eec3", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -5462,7 +5470,7 @@ "id": "e86868c3-598c-4cc7-833f-bfb6044bfab0", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5470,7 +5478,7 @@ "id": "cedd9a3e-802d-4b2d-b4bc-093027e03b3a", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5478,7 +5486,7 @@ "id": "3d0c1607-7d98-42d8-8af7-7e5983d1a83b", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5486,7 +5494,7 @@ "id": "109cfef3-3546-434a-b7f1-e00ec58de98f", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5494,7 +5502,7 @@ "id": "16656ef3-eec5-4983-8f3f-89a120c53ed9", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5502,7 +5510,7 @@ "id": "4eaf2dd0-893a-4d81-90e5-e595fc437bb3", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5510,7 +5518,7 @@ "id": "aae455c6-d869-4419-a43b-105015d44fa0", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5518,7 +5526,7 @@ "id": "ec38985e-cb49-4830-b088-b72c3202bf74", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5526,7 +5534,7 @@ "id": "92391c0c-80cb-41a7-9af7-ffe3adcdd55e", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5534,7 +5542,7 @@ "id": "d1c6707c-7def-4d80-8e36-10c85f48e082", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5542,7 +5550,7 @@ "id": "dfdae34a-12e1-4b82-abe8-95a36d6e6b00", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -5551,238 +5559,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -5811,7 +5819,7 @@ "id": "69cf026c-2b87-4239-9902-b0286091d1ff", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -5819,7 +5827,7 @@ "id": "013dbbaf-6b50-4e8e-b89f-f1a8427ecc17", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -5827,7 +5835,7 @@ "id": "7747d99d-bef6-4a0b-a7c4-ea04fa224210", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5835,7 +5843,7 @@ "id": "daecda1b-bb5c-4579-afe7-43bef94f2e3d", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -5843,7 +5851,7 @@ "id": "4e6e4d85-e164-4b1e-bad6-7425bf683888", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -5851,7 +5859,7 @@ "id": "cf4acb9e-7321-4060-bc94-d28dfea5af74", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -5859,7 +5867,7 @@ "id": "ddfb0397-326e-4669-9826-76fb5dbb5463", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5867,7 +5875,7 @@ "id": "67d8a961-3304-4471-8e94-7eeec25a3811", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -5875,7 +5883,7 @@ "id": "439f6b38-4d18-4a34-8c1a-cbc527b85ecb", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -5883,7 +5891,7 @@ "id": "b219383f-64c7-479c-ba11-981c849d9749", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -5891,7 +5899,7 @@ "id": "0edd6d9a-45f2-432a-b49b-587974b4c251", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -5899,7 +5907,7 @@ "id": "61b5d875-6927-4bd9-b862-92fd2bbbc3a4", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5907,7 +5915,7 @@ "id": "7a5a99ab-dadc-4629-b666-0b58bac95c65", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5915,7 +5923,7 @@ "id": "cb793e1e-6a7d-45f2-9da9-ea115954edbf", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5923,7 +5931,7 @@ "id": "a80a7620-03c0-44ac-82aa-983199c529e2", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -5931,7 +5939,7 @@ "id": "112c1508-b761-42a6-9388-b48b6496b3e1", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5939,7 +5947,7 @@ "id": "a872e718-cfef-4b0a-8625-92e3a30a9026", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -5947,7 +5955,7 @@ "id": "0920d503-4bd5-4666-85bc-f29e09c4b0a8", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5955,7 +5963,7 @@ "id": "fbd41d4e-365f-4391-bd04-d62b66ae623a", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5963,7 +5971,7 @@ "id": "ce0c05f5-81b8-4e16-a4e4-b3ec1f2ffe3f", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5971,7 +5979,7 @@ "id": "70d27dae-2a22-4532-a189-53dc13ff2dfd", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5979,7 +5987,7 @@ "id": "6d1598f9-4597-4a64-a625-9eb206b38e05", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5987,7 +5995,7 @@ "id": "87bd8fc5-979d-4238-ab0b-b7e9f168adf3", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -5995,7 +6003,7 @@ "id": "1924a66a-4e50-481f-ac66-b70362c12760", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -6003,7 +6011,7 @@ "id": "2ce06962-01d9-49aa-b0a9-bada37f436f6", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -6011,7 +6019,7 @@ "id": "661b1a9b-0d4e-435e-b78f-e4dfb82eface", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -6019,7 +6027,7 @@ "id": "18b791d0-1476-453c-a5cb-b9acab3bba46", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -6027,7 +6035,7 @@ "id": "3387950a-fb7a-42b5-a61c-97d9f292ac09", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -6035,7 +6043,7 @@ "id": "b4027e1e-bac5-4dfa-93b4-77d763e2799b", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -6043,7 +6051,7 @@ "id": "091b2510-bdb9-4d41-9aa5-6c9710085533", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -6051,7 +6059,7 @@ "id": "9794d554-1358-4fd3-ad8c-101779ae73d0", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -6059,7 +6067,7 @@ "id": "fb094633-d26d-408a-ae8c-417458375e95", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6067,7 +6075,7 @@ "id": "22e8399b-e3d7-4de6-9a45-3479b7031c12", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -6075,7 +6083,7 @@ "id": "fca22c0d-e185-4fb9-9755-3e8e5eb53067", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -6083,7 +6091,7 @@ "id": "b8c864c0-cdb1-42bc-b261-627292219c85", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -6091,7 +6099,7 @@ "id": "a7edd9c3-63c5-4866-9aa1-801204cb2a27", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -6099,7 +6107,7 @@ "id": "72947c3f-64c8-4af8-9842-10a364ec140e", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -6107,7 +6115,7 @@ "id": "3d141097-a979-4d10-aea3-8d6b0d44998b", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -6115,7 +6123,7 @@ "id": "7f1782b6-8764-4ec9-8ec8-9e3dee18f69d", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -6123,7 +6131,7 @@ "id": "97e5cedc-26f5-413c-8be4-9a0fa2cc14e1", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -6131,7 +6139,7 @@ "id": "edf7c579-53e0-48f4-99e5-9db83df3f43e", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -6139,7 +6147,7 @@ "id": "4367b3eb-e57c-4a00-ba06-b09e8c75f07e", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -6147,7 +6155,7 @@ "id": "fee59c2e-f41c-46f4-9831-70659c07f046", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6155,7 +6163,7 @@ "id": "0bd652c9-6cb8-46f4-8109-ce2c0bc32691", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6163,7 +6171,7 @@ "id": "96445dfe-f053-44ab-85c7-ecfb43069157", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6171,7 +6179,7 @@ "id": "5c505b16-e0c3-4f2d-bb94-7c656927dbed", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6179,7 +6187,7 @@ "id": "2fd56502-e084-4f98-aabb-6bd5467607b2", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6187,7 +6195,7 @@ "id": "11afc4cb-ecf8-4705-8fc7-73a4fd32f118", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6195,7 +6203,7 @@ "id": "67d68151-1f57-4fcf-a424-73b49bab2739", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6203,7 +6211,7 @@ "id": "fcb1cc2f-c9f4-4050-8697-6542474eefa8", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6211,7 +6219,7 @@ "id": "6949a0e6-674c-4e7a-a5bb-802b480b6428", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6219,7 +6227,7 @@ "id": "5a8da6e0-7682-4aa9-a2b5-facb5460b1e5", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6227,7 +6235,7 @@ "id": "7107f8fe-8240-44fb-a10e-d43cd8ee6d72", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6235,7 +6243,7 @@ "id": "07ec3c9e-d23d-4547-87dd-b969ed2db746", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6243,7 +6251,7 @@ "id": "63ebd213-5e8f-4106-8799-fee48af0a409", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6251,7 +6259,7 @@ "id": "b9d5fb21-79ad-480d-a735-98170275f89c", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6259,7 +6267,7 @@ "id": "34bd52db-52c2-4a46-88fe-d10020f6980a", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6267,7 +6275,7 @@ "id": "cee6cd3a-8c22-4e79-a199-8666f3736de4", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -6275,7 +6283,7 @@ "id": "6b49e9ca-4a16-46c7-a8c1-7fc70e34b5bf", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -6283,7 +6291,7 @@ "id": "c211366b-7bf9-46c4-b78c-663aa7c29242", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -6291,7 +6299,7 @@ "id": "64abdfa4-29eb-4c79-832c-13b7ae2cadbf", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6299,7 +6307,7 @@ "id": "0b005c48-e639-427f-9c98-c0e3aa1915a6", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6307,7 +6315,7 @@ "id": "ee77dedd-280b-4f82-808b-93d01da14317", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -6315,7 +6323,7 @@ "id": "2ce0e7d3-ee26-48a3-a00f-614dd59fefbe", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -6323,7 +6331,7 @@ "id": "3c7aafdf-e04e-4afd-a637-8d1c618913f4", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -6331,7 +6339,7 @@ "id": "7869ddc3-8ebb-40be-b026-c1f637e8f0ce", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -6339,7 +6347,7 @@ "id": "2e045a4f-e737-453a-8282-9f76f4dd4913", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -6347,7 +6355,7 @@ "id": "eabd5845-3061-4c13-9e7b-72425ca29e08", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6355,7 +6363,7 @@ "id": "108877ef-9ee6-4c19-b90a-abe57bfa72f0", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6363,7 +6371,7 @@ "id": "7f61ac42-3de2-4a11-9419-9ce9656fdd38", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -6371,7 +6379,7 @@ "id": "d7b2cd53-7458-4173-9b3c-81d8f582c046", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6379,7 +6387,7 @@ "id": "96c6a6d7-5171-4f67-ad77-f836649c4e67", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6387,7 +6395,7 @@ "id": "ad775633-de73-4c8d-90f5-17f296f5cfad", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6395,7 +6403,7 @@ "id": "0390aa4d-76b8-4e84-8bcd-0396ed622630", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6403,7 +6411,7 @@ "id": "e34228ad-65e3-4b3b-88c6-256eb709fd5f", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6411,7 +6419,7 @@ "id": "dc075716-e405-45ed-a66f-f20927ddbda7", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6419,7 +6427,7 @@ "id": "ea4ef7ce-61e9-43e4-b426-4c7ab05c2835", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6427,7 +6435,7 @@ "id": "f224455f-e2f4-4066-aeba-b964e831a2da", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -6436,238 +6444,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -6692,8 +6700,8 @@ "state": {} } }, - "version_major": 2.0, - "version_minor": 0.0 + "version_major": 2, + "version_minor": 0 } } }, diff --git a/docs/tutorials/index.rst b/docs/tutorials/index.rst index 3cad97ae1..b3330cb6c 100644 --- a/docs/tutorials/index.rst +++ b/docs/tutorials/index.rst @@ -5,5 +5,5 @@ Tutorials .. toctree:: - clustering_example + clustering_Louvain pagerank diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 734075c8a..14476e648 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -7,8 +7,11 @@ @author: Thomas Bonald """ -from sknetwork.utils.checks import * -from sknetwork.utils.adjacency_formats import * +import numpy as np +from scipy import sparse +from typing import Union, Optional +from sknetwork.utils.checks import check_probs, check_format, check_engine, check_random_state, is_square +from sknetwork.utils.adjacency_formats import directed2undirected, bipartite2directed from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork import njit diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 56e05ef06..f2f9cfa9e 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -68,8 +68,10 @@ class PageRank(Algorithm): Example ------- >>> from sknetwork.toy_graphs import rock_paper_scissors_graph - >>> graph = rock_paper_scissors_graph() - >>> pagerank = PageRank().fit(graph) + >>> pagerank = PageRank() + >>> adjacency = rock_paper_scissors_graph() + >>> pagerank.fit(adjacency) + PageRank(damping_factor=0.85, method='diter', n_iter=25) >>> np.round(pagerank.ranking_, 2) array([0.33, 0.33, 0.33]) From 39756f613743472fc03e5e9b4de135a9fd10b4c9 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 9 Jul 2019 16:53:57 +0200 Subject: [PATCH 07/92] Documentation, Louvain import --- docs/reference/clustering.rst | 2 +- docs/reference/introduction.rst | 38 +- docs/tutorials/clustering_Louvain.ipynb | 1666 +++++++++++------------ sknetwork/clustering/louvain.py | 9 +- 4 files changed, 869 insertions(+), 846 deletions(-) diff --git a/docs/reference/clustering.rst b/docs/reference/clustering.rst index 8da529fd4..8803fa1dc 100644 --- a/docs/reference/clustering.rst +++ b/docs/reference/clustering.rst @@ -5,7 +5,7 @@ Clustering .. currentmodule:: sknetwork -This submodule contains clustering algorithms, characterized by their ``.labels_`` attribute which assigns a cluster to +This module contains clustering algorithms. The ``.labels_`` attribute assigns a cluster to each node in the graph. Louvain diff --git a/docs/reference/introduction.rst b/docs/reference/introduction.rst index a51a9088a..897632311 100644 --- a/docs/reference/introduction.rst +++ b/docs/reference/introduction.rst @@ -28,14 +28,32 @@ About the documentation We use the following notations in the documentation: -* :math:`A` denotes the adjacency matrix for undirected and directed graphs. - -* :math:`B` denotes the biadjacency matrix for bipartite graphs (possibly non-square). - -* :math:`d = A1` or :math:`B1` is the out-degree vector and :math:`D = \text{diag}(d)` the associated diagonal matrix. - -* :math:`f = A^T1` or :math:`B^T1` is the in-degree vector and :math:`F = \text{diag}(f)` the associated diagonal matrix. - -* :math:`w = 1^T A1` or :math:`1 ^T B1` is the total weight of the graph. - +**Undirected graphs** + +* :math:`A` is the adjacency matrix of the graph. +* :math:`d = A1` is the vector of node weights (node degrees if the matrix :math:`A` is binary) +* :math:`D = \text{diag}(d)` the diagonal matrix of node weights. +* :math:`L = D - A` is the Laplacian matrix of the graph. +* :math:`P = D^{-1}A` is the transition matrix of the random walk in the graph (for positive node weights). +* :math:`w = 1^T A1` is the total weight of the graph. + +**Directed graphs** + +* :math:`A` is the adjacency matrix of the graph. +* :math:`d^+ = A1` is the vector of node out-weights (node out-degrees if the matrix :math:`A` is binary) +* :math:`D^+ = \text{diag}(d^+)` is the diagonal matrix of node out-weights. +* :math:`P^+= {D^+}^{-1}A` is the transition matrix of the random walk in the graph (for positive node out-weights). +* :math:`d^- = A1` is the vector of node in-weights (node in-degrees if the matrix :math:`A` is binary) +* :math:`D^- = \text{diag}(d^-)` is the diagonal matrix of node in-weights. +* :math:`P^-= {D^-}^{-1}A` is the transition matrix of the random walk in reverse direction (for positive node in-weights). +* :math:`w = 1^T A1` is the total weight of the graph. + +**Bipartite graphs + +* :math:`B` denotes the biadjacency matrix of the graph, rows and columns corresponding to samples and features. +* :math:`d = B1` is the vector of sample weights. +* :math:`D = \text{diag}(d)` is the diagonal matrix of sample weights. +* :math:`f = B^T1` is the vector of feature weights. +* :math:`F = \text{diag}(f)` the diagonal matrix of feature weights. +* :math:`w = 1^T B1` is the total weight of the graph. diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index 2b986cd6c..d92f7405a 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -235,7 +235,7 @@ "version": "3.7.3" }, "toc": { - "base_numbering": 1, + "base_numbering": 1.0, "nav_menu": {}, "number_sections": true, "sideBar": true, @@ -267,7 +267,7 @@ "id": "8af1209b-c2a8-45a1-a592-3c780a5a4027", "source": "0", "target": "1", - "weight": 1 + "weight": 1.0 } }, { @@ -275,7 +275,7 @@ "id": "f06735ba-0929-48be-8571-440a05ef1997", "source": "0", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -283,7 +283,7 @@ "id": "a45f9d5e-6593-4a1f-abbb-c966be29e825", "source": "0", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -291,7 +291,7 @@ "id": "d840b8c7-ef62-4a61-bbfc-91071864bd07", "source": "0", "target": "4", - "weight": 1 + "weight": 1.0 } }, { @@ -299,7 +299,7 @@ "id": "5e7924af-37c1-4217-806a-abd8892b2f0d", "source": "0", "target": "5", - "weight": 1 + "weight": 1.0 } }, { @@ -307,7 +307,7 @@ "id": "9647d9ce-a110-422b-b98a-c399cadc79f7", "source": "0", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -315,7 +315,7 @@ "id": "ec886efd-24b7-4c46-8cf2-8ff89b285a93", "source": "0", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -323,7 +323,7 @@ "id": "7f274155-be57-4024-8888-50c119f32d0e", "source": "0", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -331,7 +331,7 @@ "id": "3a113d42-64dc-4e99-bfd7-ee7929d6899e", "source": "0", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -339,7 +339,7 @@ "id": "eee3d5e6-0752-4c40-b8f8-e937174fc4ef", "source": "0", "target": "11", - "weight": 1 + "weight": 1.0 } }, { @@ -347,7 +347,7 @@ "id": "bd9d2a89-9568-47af-ade9-0cad2d812d05", "source": "0", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -355,7 +355,7 @@ "id": "3fd83b30-add5-477b-b4c4-b748945a951c", "source": "0", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -363,7 +363,7 @@ "id": "622f4cf2-e2bc-4379-ac66-fa7a3ebc561e", "source": "0", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -371,7 +371,7 @@ "id": "66cbc93e-a677-45ed-ae2f-09aadbb32b32", "source": "0", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -379,7 +379,7 @@ "id": "255abc79-81d1-4b1b-a8da-f0f3ad096dab", "source": "0", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -387,7 +387,7 @@ "id": "2417e2ca-a76b-4fcb-a0a7-f14db8b0e28c", "source": "0", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -395,7 +395,7 @@ "id": "e67cf4ed-a8b0-448b-b609-f710dc8fd701", "source": "1", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -403,7 +403,7 @@ "id": "170cad6e-02fb-4fe4-83ae-49faa3ce6e44", "source": "1", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -411,7 +411,7 @@ "id": "f11b6a7d-84d0-46bb-b90d-db9ccbdfc65a", "source": "1", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -419,7 +419,7 @@ "id": "993d6539-e92f-4356-8eff-b332ee302560", "source": "1", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -427,7 +427,7 @@ "id": "62abe227-fd60-47aa-934f-7bda5f0e8351", "source": "1", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -435,7 +435,7 @@ "id": "35172c25-f080-4c0c-abfe-e648c48f9b95", "source": "1", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -443,7 +443,7 @@ "id": "daee017b-b1a8-4bfc-8876-37a7a1bf8e90", "source": "1", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -451,7 +451,7 @@ "id": "45acb4dc-9345-4f48-bbee-8a06db88e00c", "source": "1", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -459,7 +459,7 @@ "id": "a330d16c-ea2b-4834-96ee-abdedb6733bc", "source": "2", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -467,7 +467,7 @@ "id": "e271c862-0043-40c6-9f19-a6d70e210f26", "source": "2", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -475,7 +475,7 @@ "id": "99843c7e-c8bb-4506-9180-39a562971155", "source": "2", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -483,7 +483,7 @@ "id": "c7e0fa18-ea34-4ac5-b2a8-1615f21bfac5", "source": "2", "target": "9", - "weight": 1 + "weight": 1.0 } }, { @@ -491,7 +491,7 @@ "id": "071e309f-5f0b-4e47-809e-b21a26a75685", "source": "2", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -499,7 +499,7 @@ "id": "19b3f084-cf2e-406b-b880-5d7e2f290b23", "source": "2", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -507,7 +507,7 @@ "id": "d375b865-1541-49d2-a35c-e4d03c666159", "source": "2", "target": "28", - "weight": 1 + "weight": 1.0 } }, { @@ -515,7 +515,7 @@ "id": "5f7f2bdf-1f73-4026-a5b9-4350effa8295", "source": "2", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -523,7 +523,7 @@ "id": "69b809e1-4c9d-4cbc-a629-4d933f0444ae", "source": "3", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -531,7 +531,7 @@ "id": "b187ff06-710b-4e16-a0f0-50a3d7c64aab", "source": "3", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -539,7 +539,7 @@ "id": "20d58914-3941-4a25-9c51-484aae5edac2", "source": "3", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -547,7 +547,7 @@ "id": "f98d2f44-4bad-4b00-a2b0-a9b971f04383", "source": "4", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -555,7 +555,7 @@ "id": "54eca3f4-7acd-4aff-83d7-f431cd82397b", "source": "4", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -563,7 +563,7 @@ "id": "9080245a-7f25-4cd5-95c2-04bdc9a09bd3", "source": "5", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -571,7 +571,7 @@ "id": "f5a5eba9-925e-4e89-889d-ac1d0e77c012", "source": "5", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -579,7 +579,7 @@ "id": "da6efa82-50e4-493a-ab22-750884cfe860", "source": "5", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -587,7 +587,7 @@ "id": "830c6407-f546-4ae6-b310-6158bd857b75", "source": "6", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -595,7 +595,7 @@ "id": "aaaf29ff-9024-48c4-9323-85e2088724bb", "source": "8", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -603,7 +603,7 @@ "id": "bf9ece80-439e-4b9b-926c-f16c8ce217c1", "source": "8", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -611,7 +611,7 @@ "id": "337e0e94-918e-4716-b827-34cea12bc9f9", "source": "8", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -619,7 +619,7 @@ "id": "5b1cacda-225d-4c86-b987-f175c1a51287", "source": "9", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -627,7 +627,7 @@ "id": "c018e5c6-6d90-467f-97c4-c0c387bff2fe", "source": "13", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -635,7 +635,7 @@ "id": "d539b814-41a4-4c68-abbe-ce32fb7a0bb5", "source": "14", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -643,7 +643,7 @@ "id": "1610ea43-042f-4fee-9f11-9d7a8fe4fa72", "source": "14", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -651,7 +651,7 @@ "id": "03f4a8aa-1882-4572-9970-4fff282155c4", "source": "15", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -659,7 +659,7 @@ "id": "08ede74d-8398-450d-b527-8b2e51c2c2cc", "source": "15", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -667,7 +667,7 @@ "id": "ef6f89c9-4158-4914-9a05-5c34fd0310bf", "source": "18", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -675,7 +675,7 @@ "id": "514b0524-3967-40af-b924-bd3f0a0fd32a", "source": "18", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -683,7 +683,7 @@ "id": "02f46a12-065c-4f11-a31e-3871e3c6ee6d", "source": "19", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -691,7 +691,7 @@ "id": "2d796471-3428-4558-ba26-b0a0201f36c4", "source": "20", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -699,7 +699,7 @@ "id": "edcd2749-8926-4326-85e4-b9a89547359f", "source": "20", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -707,7 +707,7 @@ "id": "eca2645b-7c3b-4e15-82b0-cf28cdabcfcd", "source": "22", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -715,7 +715,7 @@ "id": "60f8e69e-d66b-4feb-a256-19c577b0741d", "source": "22", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -723,7 +723,7 @@ "id": "97dc3e05-be38-4b36-be0e-f6f19e05b9a8", "source": "23", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -731,7 +731,7 @@ "id": "869f4c98-502a-4e18-8f8b-c0542b4b94df", "source": "23", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -739,7 +739,7 @@ "id": "36a1bfbb-25f9-4b1b-b45f-cc9e0636f61d", "source": "23", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -747,7 +747,7 @@ "id": "466b4920-2991-443c-b5d6-90483c578dc1", "source": "23", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -755,7 +755,7 @@ "id": "1d382449-4e47-4f92-b5b9-07091e3a7aa6", "source": "23", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -763,7 +763,7 @@ "id": "4a52e4ae-ed6f-49f8-9107-06714102ccd5", "source": "24", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -771,7 +771,7 @@ "id": "bfd2a32a-a45f-47d6-933d-4a8c123d7710", "source": "24", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -779,7 +779,7 @@ "id": "b1c050f1-e87b-4a33-bfbd-8af748bfbbc8", "source": "24", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -787,7 +787,7 @@ "id": "31e1fbc4-77be-45c5-b1e8-91b90577e050", "source": "25", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -795,7 +795,7 @@ "id": "cafae5e9-a154-4660-8437-bf66d07c658a", "source": "26", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -803,7 +803,7 @@ "id": "5d4c8d68-e8c8-41f1-a4e2-cd2548bca91d", "source": "26", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -811,7 +811,7 @@ "id": "0f2e986d-0661-4a5c-9244-7fcb3d4ead9c", "source": "27", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -819,7 +819,7 @@ "id": "07780435-91c5-4ad3-8997-35af47771285", "source": "28", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -827,7 +827,7 @@ "id": "c7da7d3b-3a99-46eb-b2b6-a1d804cd02a1", "source": "28", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -835,7 +835,7 @@ "id": "462e607a-0a56-4c96-aca9-5df6d52801ad", "source": "29", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -843,7 +843,7 @@ "id": "47b70469-86fc-447e-bbb1-778410aaf141", "source": "29", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -851,7 +851,7 @@ "id": "99628c5b-d324-4504-aac6-a29128b3a7de", "source": "30", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -859,7 +859,7 @@ "id": "62a8d051-0eff-43c8-8655-ba1829ff869c", "source": "30", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -867,7 +867,7 @@ "id": "dac9e4a1-6a8c-4fd3-987c-462db24f1e46", "source": "31", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -875,7 +875,7 @@ "id": "d94b6331-6717-4bea-b384-cc47fbb1e826", "source": "31", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -883,7 +883,7 @@ "id": "ab7f0d78-ffbf-4971-807d-b28a5c054dbb", "source": "32", "target": "33", - "weight": 1 + "weight": 1.0 } } ], @@ -892,238 +892,238 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } }, { "data": { "id": "5", "name": "5", - "value": 5 + "value": 5.0 } }, { "data": { "id": "6", "name": "6", - "value": 6 + "value": 6.0 } }, { "data": { "id": "7", "name": "7", - "value": 7 + "value": 7.0 } }, { "data": { "id": "8", "name": "8", - "value": 8 + "value": 8.0 } }, { "data": { "id": "9", "name": "9", - "value": 9 + "value": 9.0 } }, { "data": { "id": "10", "name": "10", - "value": 10 + "value": 10.0 } }, { "data": { "id": "11", "name": "11", - "value": 11 + "value": 11.0 } }, { "data": { "id": "12", "name": "12", - "value": 12 + "value": 12.0 } }, { "data": { "id": "13", "name": "13", - "value": 13 + "value": 13.0 } }, { "data": { "id": "14", "name": "14", - "value": 14 + "value": 14.0 } }, { "data": { "id": "15", "name": "15", - "value": 15 + "value": 15.0 } }, { "data": { "id": "16", "name": "16", - "value": 16 + "value": 16.0 } }, { "data": { "id": "17", "name": "17", - "value": 17 + "value": 17.0 } }, { "data": { "id": "18", "name": "18", - "value": 18 + "value": 18.0 } }, { "data": { "id": "19", "name": "19", - "value": 19 + "value": 19.0 } }, { "data": { "id": "20", "name": "20", - "value": 20 + "value": 20.0 } }, { "data": { "id": "21", "name": "21", - "value": 21 + "value": 21.0 } }, { "data": { "id": "22", "name": "22", - "value": 22 + "value": 22.0 } }, { "data": { "id": "23", "name": "23", - "value": 23 + "value": 23.0 } }, { "data": { "id": "24", "name": "24", - "value": 24 + "value": 24.0 } }, { "data": { "id": "25", "name": "25", - "value": 25 + "value": 25.0 } }, { "data": { "id": "26", "name": "26", - "value": 26 + "value": 26.0 } }, { "data": { "id": "27", "name": "27", - "value": 27 + "value": 27.0 } }, { "data": { "id": "28", "name": "28", - "value": 28 + "value": 28.0 } }, { "data": { "id": "29", "name": "29", - "value": 29 + "value": 29.0 } }, { "data": { "id": "30", "name": "30", - "value": 30 + "value": 30.0 } }, { "data": { "id": "31", "name": "31", - "value": 31 + "value": 31.0 } }, { "data": { "id": "32", "name": "32", - "value": 32 + "value": 32.0 } }, { "data": { "id": "33", "name": "33", - "value": 33 + "value": 33.0 } } ] @@ -1164,7 +1164,7 @@ "id": "085aa101-e3f7-4fd4-b9b1-a8c1c87b0829", "source": "0", "target": "1", - "weight": 1 + "weight": 1.0 } }, { @@ -1172,7 +1172,7 @@ "id": "e149c092-b964-4ddd-ba38-ab18720d7d65", "source": "0", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -1180,7 +1180,7 @@ "id": "75efd62e-ab34-46db-a97f-9ec929afe1ac", "source": "0", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -1188,7 +1188,7 @@ "id": "ad5c7966-e2ee-40a4-ab50-3896f501fe32", "source": "0", "target": "4", - "weight": 1 + "weight": 1.0 } }, { @@ -1196,7 +1196,7 @@ "id": "45269174-3638-43f6-9c2c-6aa19a1e996a", "source": "0", "target": "5", - "weight": 1 + "weight": 1.0 } }, { @@ -1204,7 +1204,7 @@ "id": "024ae065-d756-4307-ad12-a648b77ef44a", "source": "0", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -1212,7 +1212,7 @@ "id": "5b4df428-66c0-4b1d-bf20-235d7d346311", "source": "0", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -1220,7 +1220,7 @@ "id": "93d66563-a88c-4d3d-9bc0-b13062618c7c", "source": "0", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -1228,7 +1228,7 @@ "id": "b647b0c9-175e-415d-81e5-2902bd642265", "source": "0", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -1236,7 +1236,7 @@ "id": "d54c650a-74e5-48bf-84bd-f528e5e489f2", "source": "0", "target": "11", - "weight": 1 + "weight": 1.0 } }, { @@ -1244,7 +1244,7 @@ "id": "65b7d31a-2bb4-463a-906b-68275b87b4d8", "source": "0", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -1252,7 +1252,7 @@ "id": "b5bd1370-e0c7-430a-8dbb-a42e4138e2f0", "source": "0", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -1260,7 +1260,7 @@ "id": "39b84ca5-14b4-4e55-903a-e31d20c2aa3b", "source": "0", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -1268,7 +1268,7 @@ "id": "a5f4209e-d1f4-4823-8018-58d499b330f1", "source": "0", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -1276,7 +1276,7 @@ "id": "c7e0799f-ac77-4d53-92ac-53262518dc8c", "source": "0", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -1284,7 +1284,7 @@ "id": "bd141559-2cd0-49a7-9af0-d5ea33fd1ec1", "source": "0", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -1292,7 +1292,7 @@ "id": "0d08c6a9-16a5-4cbf-ad60-ceea9388d7dd", "source": "1", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -1300,7 +1300,7 @@ "id": "dddba5a7-86c4-437d-a194-8a17f23e0945", "source": "1", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -1308,7 +1308,7 @@ "id": "3c56f40a-5531-4d13-9658-48aaa648ad79", "source": "1", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -1316,7 +1316,7 @@ "id": "06a93c6e-47f5-4cda-8156-ed9a246c9a20", "source": "1", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -1324,7 +1324,7 @@ "id": "612fa6f9-ddf1-4b82-833d-83291ffd73ad", "source": "1", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -1332,7 +1332,7 @@ "id": "6f41cebc-6a62-407f-aef1-73825aee8f5e", "source": "1", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -1340,7 +1340,7 @@ "id": "6368fb74-9eeb-4d1f-b945-d55f591522e7", "source": "1", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -1348,7 +1348,7 @@ "id": "d1b0e70e-65a1-40bb-9ef1-49d5ec634380", "source": "1", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -1356,7 +1356,7 @@ "id": "e1789f81-2667-41d3-9c08-7df10a59fef5", "source": "2", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -1364,7 +1364,7 @@ "id": "6323ed2f-b5f1-49ba-851f-a072b8c3775b", "source": "2", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -1372,7 +1372,7 @@ "id": "cf547378-ce49-4fa2-8c91-a013afe26ca6", "source": "2", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -1380,7 +1380,7 @@ "id": "5e25d24a-4fe8-4d32-804a-c951b0f3416b", "source": "2", "target": "9", - "weight": 1 + "weight": 1.0 } }, { @@ -1388,7 +1388,7 @@ "id": "4ac7fe0e-51f3-492a-ad59-ddd618cb42ce", "source": "2", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -1396,7 +1396,7 @@ "id": "68761348-e829-4712-bd57-b5548c147493", "source": "2", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -1404,7 +1404,7 @@ "id": "e83adc4a-12ed-4726-860d-d5fc96ec01b7", "source": "2", "target": "28", - "weight": 1 + "weight": 1.0 } }, { @@ -1412,7 +1412,7 @@ "id": "69ce92df-c25f-468c-a0ca-15705b559859", "source": "2", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1420,7 +1420,7 @@ "id": "833db849-73cc-4a91-a9e5-6d5c8c7f4a5e", "source": "3", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -1428,7 +1428,7 @@ "id": "589d0254-b4c0-44a6-9b13-4b2eec6c3492", "source": "3", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -1436,7 +1436,7 @@ "id": "cd36b6d1-fe97-4a02-8be7-48750b7b239d", "source": "3", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -1444,7 +1444,7 @@ "id": "f8d70b77-7092-4add-9f52-94ac87c18edb", "source": "4", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -1452,7 +1452,7 @@ "id": "6135e50c-0ef5-41a9-834d-ab323450fe49", "source": "4", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -1460,7 +1460,7 @@ "id": "fd4ff6d9-20bf-4b8a-ad31-3efa9e340ac7", "source": "5", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -1468,7 +1468,7 @@ "id": "647ad804-74e2-4f53-b208-c037596619fe", "source": "5", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -1476,7 +1476,7 @@ "id": "b576decc-47f9-4633-951e-7591bb48a6fc", "source": "5", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -1484,7 +1484,7 @@ "id": "f854289e-8431-4a4f-b5f6-af3a5b760686", "source": "6", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -1492,7 +1492,7 @@ "id": "1e51369f-c4db-4ebf-9f56-8b0831c7e53a", "source": "8", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -1500,7 +1500,7 @@ "id": "082e1a14-3fed-43c6-9536-5111a7bd48fb", "source": "8", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1508,7 +1508,7 @@ "id": "a3411782-eefa-4a96-8241-e4dee9fa231b", "source": "8", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1516,7 +1516,7 @@ "id": "952918ea-c9b1-4cc7-acbf-57bb88208ada", "source": "9", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1524,7 +1524,7 @@ "id": "f9d06ad7-68ba-4490-9dd6-cf54e557a8ab", "source": "13", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1532,7 +1532,7 @@ "id": "8b9b2c05-8638-4e1f-a756-be29c6879959", "source": "14", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1540,7 +1540,7 @@ "id": "ad246b90-c307-402c-86aa-b1504c846df3", "source": "14", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1548,7 +1548,7 @@ "id": "364c68cb-87b1-49f0-a340-19dbba851841", "source": "15", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1556,7 +1556,7 @@ "id": "4cf6353c-ab7d-4353-8855-afe3f494c145", "source": "15", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1564,7 +1564,7 @@ "id": "1a99746d-c573-4195-9f67-e17eb5182d08", "source": "18", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1572,7 +1572,7 @@ "id": "50f9479f-29d6-4d63-be18-8a1a91dabd0d", "source": "18", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1580,7 +1580,7 @@ "id": "188f452d-074a-4210-8e8b-ab85fd3a993b", "source": "19", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1588,7 +1588,7 @@ "id": "d1b83182-0ccb-403a-a42d-afa8dc90f5c6", "source": "20", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1596,7 +1596,7 @@ "id": "c2cc2f11-ae7d-4c2f-8f7d-83fec6b81d85", "source": "20", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1604,7 +1604,7 @@ "id": "9355ea91-be49-4650-b322-8018faa15404", "source": "22", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1612,7 +1612,7 @@ "id": "463cd3e4-1e85-4f1a-9b82-40bb9e8ba17c", "source": "22", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1620,7 +1620,7 @@ "id": "a2341883-f641-487f-975f-fb15a2d98439", "source": "23", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -1628,7 +1628,7 @@ "id": "d40bfd18-7151-47d6-ac3a-2c240cc47e51", "source": "23", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -1636,7 +1636,7 @@ "id": "9b87f438-8282-4251-b36f-d9e291c3ec72", "source": "23", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -1644,7 +1644,7 @@ "id": "16424e1c-a663-4729-8f7a-087731569c47", "source": "23", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1652,7 +1652,7 @@ "id": "fa00c17b-b5e0-40a4-a373-7a781fd6f257", "source": "23", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1660,7 +1660,7 @@ "id": "c3e015d4-ecb5-4c6d-a648-60102d3262a3", "source": "24", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -1668,7 +1668,7 @@ "id": "c5cd9dcd-5226-4d18-a4f7-6b0f95fbd218", "source": "24", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -1676,7 +1676,7 @@ "id": "da2e9560-4583-4e68-9b9f-4806f02982a0", "source": "24", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -1684,7 +1684,7 @@ "id": "81b6f8c1-e327-481e-aa4a-bdff154ab642", "source": "25", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -1692,7 +1692,7 @@ "id": "ba9019bd-2ca6-4aa2-ab99-64a2c67e067a", "source": "26", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -1700,7 +1700,7 @@ "id": "76ec270a-0062-4ce6-bc72-6644a3b2ca3a", "source": "26", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1708,7 +1708,7 @@ "id": "c1c7721b-3ce5-4bb4-b6ca-c293184e4c67", "source": "27", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1716,7 +1716,7 @@ "id": "79d6053a-ed86-4fcc-8ac8-5935976e0793", "source": "28", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -1724,7 +1724,7 @@ "id": "fe6c5aa6-f3af-4293-9289-44d95671d12f", "source": "28", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1732,7 +1732,7 @@ "id": "5b6015e1-bbfa-4898-b56e-72a25f7ef205", "source": "29", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1740,7 +1740,7 @@ "id": "14ebd0af-6647-4c9e-8543-d515787ae3be", "source": "29", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1748,7 +1748,7 @@ "id": "70ced8a7-1b57-4a17-a782-a2760651efb4", "source": "30", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1756,7 +1756,7 @@ "id": "34f84f00-9419-4835-9375-b334950b6fa2", "source": "30", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1764,7 +1764,7 @@ "id": "e34fd8c1-6369-4b5c-b0e9-5215de67e6e3", "source": "31", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -1772,7 +1772,7 @@ "id": "75ebf962-1627-412a-876b-0b3640e11cdc", "source": "31", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -1780,7 +1780,7 @@ "id": "f4dca068-f3a2-4dec-b185-62a1bf667298", "source": "32", "target": "33", - "weight": 1 + "weight": 1.0 } } ], @@ -1789,238 +1789,238 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } }, { "data": { "id": "5", "name": "5", - "value": 5 + "value": 5.0 } }, { "data": { "id": "6", "name": "6", - "value": 6 + "value": 6.0 } }, { "data": { "id": "7", "name": "7", - "value": 7 + "value": 7.0 } }, { "data": { "id": "8", "name": "8", - "value": 8 + "value": 8.0 } }, { "data": { "id": "9", "name": "9", - "value": 9 + "value": 9.0 } }, { "data": { "id": "10", "name": "10", - "value": 10 + "value": 10.0 } }, { "data": { "id": "11", "name": "11", - "value": 11 + "value": 11.0 } }, { "data": { "id": "12", "name": "12", - "value": 12 + "value": 12.0 } }, { "data": { "id": "13", "name": "13", - "value": 13 + "value": 13.0 } }, { "data": { "id": "14", "name": "14", - "value": 14 + "value": 14.0 } }, { "data": { "id": "15", "name": "15", - "value": 15 + "value": 15.0 } }, { "data": { "id": "16", "name": "16", - "value": 16 + "value": 16.0 } }, { "data": { "id": "17", "name": "17", - "value": 17 + "value": 17.0 } }, { "data": { "id": "18", "name": "18", - "value": 18 + "value": 18.0 } }, { "data": { "id": "19", "name": "19", - "value": 19 + "value": 19.0 } }, { "data": { "id": "20", "name": "20", - "value": 20 + "value": 20.0 } }, { "data": { "id": "21", "name": "21", - "value": 21 + "value": 21.0 } }, { "data": { "id": "22", "name": "22", - "value": 22 + "value": 22.0 } }, { "data": { "id": "23", "name": "23", - "value": 23 + "value": 23.0 } }, { "data": { "id": "24", "name": "24", - "value": 24 + "value": 24.0 } }, { "data": { "id": "25", "name": "25", - "value": 25 + "value": 25.0 } }, { "data": { "id": "26", "name": "26", - "value": 26 + "value": 26.0 } }, { "data": { "id": "27", "name": "27", - "value": 27 + "value": 27.0 } }, { "data": { "id": "28", "name": "28", - "value": 28 + "value": 28.0 } }, { "data": { "id": "29", "name": "29", - "value": 29 + "value": 29.0 } }, { "data": { "id": "30", "name": "30", - "value": 30 + "value": 30.0 } }, { "data": { "id": "31", "name": "31", - "value": 31 + "value": 31.0 } }, { "data": { "id": "32", "name": "32", - "value": 32 + "value": 32.0 } }, { "data": { "id": "33", "name": "33", - "value": 33 + "value": 33.0 } } ] @@ -2046,44 +2046,44 @@ "edges": [ { "data": { - "source": 0, - "target": 1, - "weight": 1 + "source": 0.0, + "target": 1.0, + "weight": 1.0 } }, { "data": { - "source": 0, - "target": 4, - "weight": 1 + "source": 0.0, + "target": 4.0, + "weight": 1.0 } }, { "data": { - "source": 1, - "target": 2, - "weight": 1 + "source": 1.0, + "target": 2.0, + "weight": 1.0 } }, { "data": { - "source": 1, - "target": 4, - "weight": 1 + "source": 1.0, + "target": 4.0, + "weight": 1.0 } }, { "data": { - "source": 2, - "target": 3, - "weight": 1 + "source": 2.0, + "target": 3.0, + "weight": 1.0 } }, { "data": { - "source": 3, - "target": 4, - "weight": 1 + "source": 3.0, + "target": 4.0, + "weight": 1.0 } } ], @@ -2092,35 +2092,35 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } } ] @@ -2155,7 +2155,7 @@ "id": "620f04e8-c6ee-470e-930b-6d0240430634", "source": "0", "target": "1", - "weight": 1 + "weight": 1.0 } }, { @@ -2163,7 +2163,7 @@ "id": "68d58a21-c636-4671-896c-7c4a8e5d98b7", "source": "0", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -2171,7 +2171,7 @@ "id": "8b198916-3067-44db-9ed4-b0da60de22c8", "source": "0", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -2179,7 +2179,7 @@ "id": "f9467cb2-4761-4683-b105-450c13597fbc", "source": "0", "target": "4", - "weight": 1 + "weight": 1.0 } }, { @@ -2187,7 +2187,7 @@ "id": "3d3ba002-9bb4-4236-be65-4aa3108e60ec", "source": "0", "target": "5", - "weight": 1 + "weight": 1.0 } }, { @@ -2195,7 +2195,7 @@ "id": "9f4b0ce0-3802-46aa-9506-529c30d959be", "source": "0", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -2203,7 +2203,7 @@ "id": "be99d84b-fd72-47b7-829c-844084a17bd8", "source": "0", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -2211,7 +2211,7 @@ "id": "bd00d3e1-cd2d-4c2b-bba6-b9652183ec73", "source": "0", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -2219,7 +2219,7 @@ "id": "34bb9318-c802-483a-b004-1f171ee3ec8e", "source": "0", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -2227,7 +2227,7 @@ "id": "5aa8c4d9-ca9b-4d4d-a645-f11a6ddea783", "source": "0", "target": "11", - "weight": 1 + "weight": 1.0 } }, { @@ -2235,7 +2235,7 @@ "id": "7b72fc84-cc3b-4d62-b531-ced96562989c", "source": "0", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -2243,7 +2243,7 @@ "id": "b570f07d-4d71-46d6-bb84-0c36f52a2e2a", "source": "0", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -2251,7 +2251,7 @@ "id": "0013a18f-86a5-4c44-b719-95b333f15a09", "source": "0", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -2259,7 +2259,7 @@ "id": "cab9df27-fc49-4551-b4eb-fda81eb0796d", "source": "0", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -2267,7 +2267,7 @@ "id": "103a1a0c-5e26-4fb9-b9db-8c16dd3c11d8", "source": "0", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -2275,7 +2275,7 @@ "id": "34c56149-2fce-40a3-80a0-35850026c838", "source": "0", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -2283,7 +2283,7 @@ "id": "85becf7b-6a44-427a-a3f6-edcdf7ecb3a1", "source": "1", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -2291,7 +2291,7 @@ "id": "258a019b-d339-44b4-b5b0-46f7753c6675", "source": "1", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -2299,7 +2299,7 @@ "id": "f3ab35d4-0adf-42f6-8c5b-12e82359889e", "source": "1", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -2307,7 +2307,7 @@ "id": "5b5c451a-02b5-45ea-aff4-a07da2ff8500", "source": "1", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -2315,7 +2315,7 @@ "id": "6ea4a4fa-1513-40b9-ba32-19286a2053ec", "source": "1", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -2323,7 +2323,7 @@ "id": "89d18912-eb43-4cd8-99b7-53939f460023", "source": "1", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -2331,7 +2331,7 @@ "id": "fdb41128-e261-4def-b8b9-dc0fd30b9495", "source": "1", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -2339,7 +2339,7 @@ "id": "5ba5ddc6-7bb8-493e-9742-168f4dc0680f", "source": "1", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -2347,7 +2347,7 @@ "id": "a6f41c9a-3c81-47ce-96c9-e66bb32cfddf", "source": "2", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -2355,7 +2355,7 @@ "id": "d7628d0b-6da6-42e7-9bfa-250c7a0a5187", "source": "2", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -2363,7 +2363,7 @@ "id": "19efee0b-c521-48c4-b9f5-b6d4ec13ddb9", "source": "2", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -2371,7 +2371,7 @@ "id": "28317596-3de6-4cf5-a929-68d0f9940b7d", "source": "2", "target": "9", - "weight": 1 + "weight": 1.0 } }, { @@ -2379,7 +2379,7 @@ "id": "bee0bd63-9cb7-4aa8-8e07-0df52f9a9183", "source": "2", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -2387,7 +2387,7 @@ "id": "3eabf4b5-649f-4904-8e7b-68f9c0bfa2d3", "source": "2", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -2395,7 +2395,7 @@ "id": "50e7b0aa-86b8-4509-b454-96fdf99a1419", "source": "2", "target": "28", - "weight": 1 + "weight": 1.0 } }, { @@ -2403,7 +2403,7 @@ "id": "53f4bad1-b678-44ce-b629-19b0c2ae0073", "source": "2", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2411,7 +2411,7 @@ "id": "88b02e59-109e-484f-a1bd-2edc638c61b8", "source": "3", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -2419,7 +2419,7 @@ "id": "3ea26939-66fd-4883-8167-78b496d7f820", "source": "3", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -2427,7 +2427,7 @@ "id": "52949a82-d230-4734-b60e-000a114412b2", "source": "3", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -2435,7 +2435,7 @@ "id": "34d8f605-46be-4833-aeb0-7b34569458f4", "source": "4", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -2443,7 +2443,7 @@ "id": "a781407f-6ea9-447e-a4a7-78d5eba4382e", "source": "4", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -2451,7 +2451,7 @@ "id": "30f3d5b9-5c50-4f4f-b4fa-0aefd6b4edd3", "source": "5", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -2459,7 +2459,7 @@ "id": "b8e6cccc-6f69-40ab-9de9-1bf9f40ab4ed", "source": "5", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -2467,7 +2467,7 @@ "id": "ac5a01e6-af66-4caf-989c-cd93e0290ea8", "source": "5", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -2475,7 +2475,7 @@ "id": "bba44e08-f0f7-499c-9d81-1ba72230effd", "source": "6", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -2483,7 +2483,7 @@ "id": "300d0502-3bfe-4ebc-9499-2e6701f0c836", "source": "8", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -2491,7 +2491,7 @@ "id": "facbf0ae-1014-4905-8413-eb9a500a79f6", "source": "8", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2499,7 +2499,7 @@ "id": "147054c5-1385-4a3c-a749-d8c23ec01905", "source": "8", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2507,7 +2507,7 @@ "id": "6d87a9cc-5fd0-4bb0-975e-a9d43f88ed0d", "source": "9", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2515,7 +2515,7 @@ "id": "1a9e116f-0959-435f-bd8b-dfd7b7f127f0", "source": "13", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2523,7 +2523,7 @@ "id": "7c348d4b-0358-4113-bee7-e5e69165b34d", "source": "14", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2531,7 +2531,7 @@ "id": "ed89a088-7900-4095-92ba-587ce431b388", "source": "14", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2539,7 +2539,7 @@ "id": "91479544-bc11-4479-b888-aad10e8e5a94", "source": "15", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2547,7 +2547,7 @@ "id": "de69dc69-febb-4031-b60f-8039788251ab", "source": "15", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2555,7 +2555,7 @@ "id": "ba567e3f-5b30-42d9-8d07-ee53e7b6bbc6", "source": "18", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2563,7 +2563,7 @@ "id": "c4dbe0e5-43d0-4c8f-89bb-f8115a6d2645", "source": "18", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2571,7 +2571,7 @@ "id": "560a3062-4624-48ff-8538-c625cfd58958", "source": "19", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2579,7 +2579,7 @@ "id": "457410bb-dd44-4b18-a7ff-8ed4dc55071d", "source": "20", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2587,7 +2587,7 @@ "id": "6e781602-9d97-4765-9607-9bb1c3f43bf8", "source": "20", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2595,7 +2595,7 @@ "id": "33683a53-2a55-4e82-8144-e4dac89d1553", "source": "22", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2603,7 +2603,7 @@ "id": "38ae90bb-00b9-4977-9e13-be34ce92a8af", "source": "22", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2611,7 +2611,7 @@ "id": "6ed65ab5-f7f0-456e-a894-1a1247bda903", "source": "23", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -2619,7 +2619,7 @@ "id": "07ade42a-2bcf-42d3-b11d-dc3a938819da", "source": "23", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -2627,7 +2627,7 @@ "id": "3b1b1035-3177-45aa-b37d-48b971bcf3c9", "source": "23", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -2635,7 +2635,7 @@ "id": "b7f43b21-32ca-43ed-97dd-19fa696207ae", "source": "23", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2643,7 +2643,7 @@ "id": "0176113c-be0a-4472-96bb-88aac0a4a2fd", "source": "23", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2651,7 +2651,7 @@ "id": "3cb29b1d-b369-46c7-bbb4-c99c54d9fd24", "source": "24", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -2659,7 +2659,7 @@ "id": "b5db8d5e-e1ca-43ff-a2c7-5fc7ca9e38c8", "source": "24", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -2667,7 +2667,7 @@ "id": "4e9277a3-0777-45b1-a45a-69e95344799f", "source": "24", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -2675,7 +2675,7 @@ "id": "be87ef53-de3a-4b13-9773-fcb78ef9ea34", "source": "25", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -2683,7 +2683,7 @@ "id": "c1a58aa7-212e-4cb4-b8a2-50af44656cad", "source": "26", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -2691,7 +2691,7 @@ "id": "624417f6-e4ef-401f-a2cd-14248912c8fe", "source": "26", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2699,7 +2699,7 @@ "id": "41c33479-b634-4548-8ecb-5806bc26e6c2", "source": "27", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2707,7 +2707,7 @@ "id": "6a34e049-6cee-4e4a-9931-3343a810a51a", "source": "28", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -2715,7 +2715,7 @@ "id": "a7406893-0852-404a-8119-648ddcd56664", "source": "28", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2723,7 +2723,7 @@ "id": "98fa5692-76da-41e3-8521-e8b84a01a435", "source": "29", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2731,7 +2731,7 @@ "id": "f6095009-2afa-48b1-8e43-7c372def30dc", "source": "29", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2739,7 +2739,7 @@ "id": "2ee4ce25-ddc0-4ebf-94bd-2889fcd49ddb", "source": "30", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2747,7 +2747,7 @@ "id": "b2103473-cff6-478c-87f9-4791b917b41e", "source": "30", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2755,7 +2755,7 @@ "id": "21d0de12-d17b-43b6-8984-e1784b23f2b8", "source": "31", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -2763,7 +2763,7 @@ "id": "75bf7654-0d11-4da5-a801-f869a7c9d710", "source": "31", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -2771,7 +2771,7 @@ "id": "8cf059be-1900-4632-8730-d0da7fe91ba2", "source": "32", "target": "33", - "weight": 1 + "weight": 1.0 } } ], @@ -2780,238 +2780,238 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } }, { "data": { "id": "5", "name": "5", - "value": 5 + "value": 5.0 } }, { "data": { "id": "6", "name": "6", - "value": 6 + "value": 6.0 } }, { "data": { "id": "7", "name": "7", - "value": 7 + "value": 7.0 } }, { "data": { "id": "8", "name": "8", - "value": 8 + "value": 8.0 } }, { "data": { "id": "9", "name": "9", - "value": 9 + "value": 9.0 } }, { "data": { "id": "10", "name": "10", - "value": 10 + "value": 10.0 } }, { "data": { "id": "11", "name": "11", - "value": 11 + "value": 11.0 } }, { "data": { "id": "12", "name": "12", - "value": 12 + "value": 12.0 } }, { "data": { "id": "13", "name": "13", - "value": 13 + "value": 13.0 } }, { "data": { "id": "14", "name": "14", - "value": 14 + "value": 14.0 } }, { "data": { "id": "15", "name": "15", - "value": 15 + "value": 15.0 } }, { "data": { "id": "16", "name": "16", - "value": 16 + "value": 16.0 } }, { "data": { "id": "17", "name": "17", - "value": 17 + "value": 17.0 } }, { "data": { "id": "18", "name": "18", - "value": 18 + "value": 18.0 } }, { "data": { "id": "19", "name": "19", - "value": 19 + "value": 19.0 } }, { "data": { "id": "20", "name": "20", - "value": 20 + "value": 20.0 } }, { "data": { "id": "21", "name": "21", - "value": 21 + "value": 21.0 } }, { "data": { "id": "22", "name": "22", - "value": 22 + "value": 22.0 } }, { "data": { "id": "23", "name": "23", - "value": 23 + "value": 23.0 } }, { "data": { "id": "24", "name": "24", - "value": 24 + "value": 24.0 } }, { "data": { "id": "25", "name": "25", - "value": 25 + "value": 25.0 } }, { "data": { "id": "26", "name": "26", - "value": 26 + "value": 26.0 } }, { "data": { "id": "27", "name": "27", - "value": 27 + "value": 27.0 } }, { "data": { "id": "28", "name": "28", - "value": 28 + "value": 28.0 } }, { "data": { "id": "29", "name": "29", - "value": 29 + "value": 29.0 } }, { "data": { "id": "30", "name": "30", - "value": 30 + "value": 30.0 } }, { "data": { "id": "31", "name": "31", - "value": 31 + "value": 31.0 } }, { "data": { "id": "32", "name": "32", - "value": 32 + "value": 32.0 } }, { "data": { "id": "33", "name": "33", - "value": 33 + "value": 33.0 } } ] @@ -3040,7 +3040,7 @@ "id": "e6b5a987-0a09-41c6-aa59-6744980866b9", "source": "0", "target": "1", - "weight": 1 + "weight": 1.0 } }, { @@ -3048,7 +3048,7 @@ "id": "dbfbdeda-04d9-47ef-9086-73a087f63230", "source": "0", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -3056,7 +3056,7 @@ "id": "d04b685e-cf78-4f66-80c5-81964d1fe12b", "source": "0", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -3064,7 +3064,7 @@ "id": "e3ef850a-25cb-455b-ae55-d11950a78f8f", "source": "0", "target": "4", - "weight": 1 + "weight": 1.0 } }, { @@ -3072,7 +3072,7 @@ "id": "401fa79f-898a-4d17-9269-01a18805a7fe", "source": "0", "target": "5", - "weight": 1 + "weight": 1.0 } }, { @@ -3080,7 +3080,7 @@ "id": "748dd0c0-7566-4ac5-95fe-96d2c988e748", "source": "0", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -3088,7 +3088,7 @@ "id": "774f6f0d-94a4-4ac1-abc5-b516b177cebd", "source": "0", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -3096,7 +3096,7 @@ "id": "765d1e0b-1146-4b8d-881d-1bf547cdc3d6", "source": "0", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -3104,7 +3104,7 @@ "id": "56e43c73-9121-4343-880d-a5bf08112893", "source": "0", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -3112,7 +3112,7 @@ "id": "4251b760-3a67-4442-9fc6-b04fe2b3d660", "source": "0", "target": "11", - "weight": 1 + "weight": 1.0 } }, { @@ -3120,7 +3120,7 @@ "id": "23920fbb-a90f-44a2-a65b-ed52a26f2dde", "source": "0", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -3128,7 +3128,7 @@ "id": "86aab285-a5e0-4548-b9e9-f7434fa0da2e", "source": "0", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -3136,7 +3136,7 @@ "id": "de9029f7-9546-423b-bf07-17fd5df4630d", "source": "0", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -3144,7 +3144,7 @@ "id": "dd9cd57f-62fa-4c2f-ae4d-00ab87bcb7c1", "source": "0", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -3152,7 +3152,7 @@ "id": "aed6dcae-120a-489c-b52c-1c9713cf1720", "source": "0", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -3160,7 +3160,7 @@ "id": "eb45eefb-923e-4ad0-b7d5-fe54a323c958", "source": "0", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -3168,7 +3168,7 @@ "id": "1e552ed4-49a7-48b4-b913-cd4624dd0321", "source": "1", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -3176,7 +3176,7 @@ "id": "bbdc6093-e158-4943-8f07-1c23fa87080f", "source": "1", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -3184,7 +3184,7 @@ "id": "735ca118-a5a7-432d-b22c-76989e8828bd", "source": "1", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -3192,7 +3192,7 @@ "id": "be82aeab-0815-4832-9164-6a3ab3f1706b", "source": "1", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -3200,7 +3200,7 @@ "id": "a01b8742-9ed0-4554-b60d-be98c15273d9", "source": "1", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -3208,7 +3208,7 @@ "id": "fb841ecf-ce55-4c96-b337-2770046a1fed", "source": "1", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -3216,7 +3216,7 @@ "id": "6ba9b977-b7b4-4d16-a5b1-2d75c87a548f", "source": "1", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -3224,7 +3224,7 @@ "id": "93737ca3-294b-4aa8-8676-be1f668eb881", "source": "1", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -3232,7 +3232,7 @@ "id": "7d8d69c2-258a-4a23-b9a3-366f654dc511", "source": "2", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -3240,7 +3240,7 @@ "id": "9418ff08-e252-47b5-b7eb-2dee869a8203", "source": "2", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -3248,7 +3248,7 @@ "id": "7191c853-81f1-449d-86a8-502b3bd06731", "source": "2", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -3256,7 +3256,7 @@ "id": "273353f4-e02a-429a-b350-b615df2625d0", "source": "2", "target": "9", - "weight": 1 + "weight": 1.0 } }, { @@ -3264,7 +3264,7 @@ "id": "73003209-c15c-4444-be5f-bd60657f4429", "source": "2", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -3272,7 +3272,7 @@ "id": "55464495-1623-46d7-a8da-a47a4209783b", "source": "2", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -3280,7 +3280,7 @@ "id": "feebb1f7-c212-425b-a0f4-9b95b2dbe653", "source": "2", "target": "28", - "weight": 1 + "weight": 1.0 } }, { @@ -3288,7 +3288,7 @@ "id": "1a9d10a8-34a8-4d71-aafc-6404988292ef", "source": "2", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3296,7 +3296,7 @@ "id": "683b3002-6fe1-4b70-95d6-d6970c254ac8", "source": "3", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -3304,7 +3304,7 @@ "id": "f9aadc9f-65e3-433e-8248-414ef0197019", "source": "3", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -3312,7 +3312,7 @@ "id": "b1bc184f-0393-4c50-9373-84507141ae87", "source": "3", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -3320,7 +3320,7 @@ "id": "fd76429a-adc9-44fa-a455-fc1fad171b19", "source": "4", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -3328,7 +3328,7 @@ "id": "99925a0d-fc35-4580-9540-67d38196531d", "source": "4", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -3336,7 +3336,7 @@ "id": "d50a8336-64b9-4ee4-a722-399423f53c04", "source": "5", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -3344,7 +3344,7 @@ "id": "b0244cb8-2eda-4154-8209-ac14e2052785", "source": "5", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -3352,7 +3352,7 @@ "id": "53bf60c4-e7ab-4f0c-a003-eb8282d844a4", "source": "5", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -3360,7 +3360,7 @@ "id": "fa087b1c-865f-4721-92e2-1b4c94ef9dcd", "source": "6", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -3368,7 +3368,7 @@ "id": "132dbde2-99c5-4234-9fec-580c2045f6ba", "source": "8", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -3376,7 +3376,7 @@ "id": "058dcd31-aa8d-4d30-ac6a-e1c9e4b772e7", "source": "8", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3384,7 +3384,7 @@ "id": "5d7a20d0-1a6b-4188-aa9c-04f361f406b9", "source": "8", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3392,7 +3392,7 @@ "id": "67939b85-c4bb-43b2-a143-986ba50d3727", "source": "9", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3400,7 +3400,7 @@ "id": "e993e29d-d2e8-4908-8c71-4d426f37b50f", "source": "13", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3408,7 +3408,7 @@ "id": "c1331ea8-b65b-45c0-81c6-bec45505a6a5", "source": "14", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3416,7 +3416,7 @@ "id": "5ba23511-5651-42ff-a0f4-d7f343f89f0b", "source": "14", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3424,7 +3424,7 @@ "id": "7b79c0be-1cbe-463e-996d-b008dc250861", "source": "15", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3432,7 +3432,7 @@ "id": "70b650f4-d0aa-42db-b57e-2a9785eb5ac9", "source": "15", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3440,7 +3440,7 @@ "id": "2b37bc91-2643-4847-af75-2e0706827e0d", "source": "18", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3448,7 +3448,7 @@ "id": "eb005df2-b3b7-48ee-baa9-99f223081a39", "source": "18", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3456,7 +3456,7 @@ "id": "e22cdbab-27d5-450e-8d24-5baf1cd85f0c", "source": "19", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3464,7 +3464,7 @@ "id": "cd67ec96-980d-466d-a03e-805054b0b71e", "source": "20", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3472,7 +3472,7 @@ "id": "d3451fbe-e812-4f97-a862-af590dde1450", "source": "20", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3480,7 +3480,7 @@ "id": "99bb4d1e-c532-4647-834e-dfc3664100e3", "source": "22", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3488,7 +3488,7 @@ "id": "4a837dfd-f7a3-4e76-a792-e81248bda264", "source": "22", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3496,7 +3496,7 @@ "id": "417f30f5-d791-425f-81b1-8ea8655b2416", "source": "23", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -3504,7 +3504,7 @@ "id": "dd4db35b-eaec-4937-9009-86d5b511dbde", "source": "23", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -3512,7 +3512,7 @@ "id": "f1b2e0a3-2e2f-43c2-8c50-7372a6f422d3", "source": "23", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -3520,7 +3520,7 @@ "id": "65233fb2-9877-44be-b028-d36dd94041d9", "source": "23", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3528,7 +3528,7 @@ "id": "96f8626a-3a4d-4ed0-b74e-bbcf82e004d0", "source": "23", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3536,7 +3536,7 @@ "id": "502f2e57-8465-4e9c-8b6b-8b93898525f2", "source": "24", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -3544,7 +3544,7 @@ "id": "6d23c1ef-bb4d-44a8-9771-fa3b077d8447", "source": "24", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -3552,7 +3552,7 @@ "id": "dc6832f5-5c23-4ef4-9499-43b41818e0a3", "source": "24", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -3560,7 +3560,7 @@ "id": "236a0a65-1e56-4a11-b521-ad88c2550119", "source": "25", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -3568,7 +3568,7 @@ "id": "cc0ed55c-797e-44f5-a148-71e8056b21b9", "source": "26", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -3576,7 +3576,7 @@ "id": "c8006287-f159-46c7-a700-8e50718791a5", "source": "26", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3584,7 +3584,7 @@ "id": "1d3582b1-ef5d-4669-b466-abd4eaf02d85", "source": "27", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3592,7 +3592,7 @@ "id": "6729b210-447e-41e8-adec-c6dff2a289b0", "source": "28", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -3600,7 +3600,7 @@ "id": "8e96fffd-1fe3-4ed9-8c7b-8bde2aaf6e9f", "source": "28", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3608,7 +3608,7 @@ "id": "b49ee94e-e5f8-4801-8165-59d3ed4b1161", "source": "29", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3616,7 +3616,7 @@ "id": "bc268abf-507e-494d-aaed-dd58e5ff426c", "source": "29", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3624,7 +3624,7 @@ "id": "0a79677d-7273-4df3-a265-3e3e80c77b62", "source": "30", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3632,7 +3632,7 @@ "id": "b0ff63a8-38e4-4d64-b3fe-d806fad643cc", "source": "30", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3640,7 +3640,7 @@ "id": "22e8dedc-72c1-4fb2-97fd-68cd8d2a95ac", "source": "31", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -3648,7 +3648,7 @@ "id": "3fb10e17-9250-4d83-b3e1-e40fd7629013", "source": "31", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -3656,7 +3656,7 @@ "id": "c997c756-95ca-41d3-840b-7ea300a24bd5", "source": "32", "target": "33", - "weight": 1 + "weight": 1.0 } } ], @@ -3665,238 +3665,238 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } }, { "data": { "id": "5", "name": "5", - "value": 5 + "value": 5.0 } }, { "data": { "id": "6", "name": "6", - "value": 6 + "value": 6.0 } }, { "data": { "id": "7", "name": "7", - "value": 7 + "value": 7.0 } }, { "data": { "id": "8", "name": "8", - "value": 8 + "value": 8.0 } }, { "data": { "id": "9", "name": "9", - "value": 9 + "value": 9.0 } }, { "data": { "id": "10", "name": "10", - "value": 10 + "value": 10.0 } }, { "data": { "id": "11", "name": "11", - "value": 11 + "value": 11.0 } }, { "data": { "id": "12", "name": "12", - "value": 12 + "value": 12.0 } }, { "data": { "id": "13", "name": "13", - "value": 13 + "value": 13.0 } }, { "data": { "id": "14", "name": "14", - "value": 14 + "value": 14.0 } }, { "data": { "id": "15", "name": "15", - "value": 15 + "value": 15.0 } }, { "data": { "id": "16", "name": "16", - "value": 16 + "value": 16.0 } }, { "data": { "id": "17", "name": "17", - "value": 17 + "value": 17.0 } }, { "data": { "id": "18", "name": "18", - "value": 18 + "value": 18.0 } }, { "data": { "id": "19", "name": "19", - "value": 19 + "value": 19.0 } }, { "data": { "id": "20", "name": "20", - "value": 20 + "value": 20.0 } }, { "data": { "id": "21", "name": "21", - "value": 21 + "value": 21.0 } }, { "data": { "id": "22", "name": "22", - "value": 22 + "value": 22.0 } }, { "data": { "id": "23", "name": "23", - "value": 23 + "value": 23.0 } }, { "data": { "id": "24", "name": "24", - "value": 24 + "value": 24.0 } }, { "data": { "id": "25", "name": "25", - "value": 25 + "value": 25.0 } }, { "data": { "id": "26", "name": "26", - "value": 26 + "value": 26.0 } }, { "data": { "id": "27", "name": "27", - "value": 27 + "value": 27.0 } }, { "data": { "id": "28", "name": "28", - "value": 28 + "value": 28.0 } }, { "data": { "id": "29", "name": "29", - "value": 29 + "value": 29.0 } }, { "data": { "id": "30", "name": "30", - "value": 30 + "value": 30.0 } }, { "data": { "id": "31", "name": "31", - "value": 31 + "value": 31.0 } }, { "data": { "id": "32", "name": "32", - "value": 32 + "value": 32.0 } }, { "data": { "id": "33", "name": "33", - "value": 33 + "value": 33.0 } } ] @@ -3925,7 +3925,7 @@ "id": "57683d03-5e0e-4dc6-9348-76bf13360107", "source": "0", "target": "1", - "weight": 1 + "weight": 1.0 } }, { @@ -3933,7 +3933,7 @@ "id": "0d3130dc-1f13-45ba-8b40-49299ab6e7f5", "source": "0", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -3941,7 +3941,7 @@ "id": "f53595c4-d242-4e0e-8aa0-1890d40516fe", "source": "0", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -3949,7 +3949,7 @@ "id": "10832546-c693-4648-8308-61787db29fa6", "source": "0", "target": "4", - "weight": 1 + "weight": 1.0 } }, { @@ -3957,7 +3957,7 @@ "id": "9cdafbfc-a4e7-432a-a06b-927d203b8dd8", "source": "0", "target": "5", - "weight": 1 + "weight": 1.0 } }, { @@ -3965,7 +3965,7 @@ "id": "d1481315-b5cf-4497-8d11-775140c97393", "source": "0", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -3973,7 +3973,7 @@ "id": "44a41525-9920-4e09-b506-944fad7e7d5e", "source": "0", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -3981,7 +3981,7 @@ "id": "9fcbbd25-59cc-40e3-86cf-570ceb4094f1", "source": "0", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -3989,7 +3989,7 @@ "id": "9d224eed-35d2-47b2-be0e-86f7ee61d136", "source": "0", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -3997,7 +3997,7 @@ "id": "64a122da-7d0b-425c-95ff-cf19b2c57799", "source": "0", "target": "11", - "weight": 1 + "weight": 1.0 } }, { @@ -4005,7 +4005,7 @@ "id": "67cc5d26-f2e6-4591-b430-4e9527c76354", "source": "0", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -4013,7 +4013,7 @@ "id": "4a85166d-2209-4497-8486-fa5df8a0f7c4", "source": "0", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -4021,7 +4021,7 @@ "id": "818b0e02-9b3a-4b88-bcc1-621af9d3984c", "source": "0", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -4029,7 +4029,7 @@ "id": "2818b998-6c48-40c6-9281-ff762c4576ba", "source": "0", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -4037,7 +4037,7 @@ "id": "c926069c-b336-456e-a721-882b0b318c1f", "source": "0", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -4045,7 +4045,7 @@ "id": "b5c821ff-064e-43fa-b5ef-7f22654eb9a4", "source": "0", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -4053,7 +4053,7 @@ "id": "b93e10fe-da76-4f9e-aa30-976470048b4e", "source": "1", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -4061,7 +4061,7 @@ "id": "f21ef70d-de60-4467-a796-2fe2b8979256", "source": "1", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -4069,7 +4069,7 @@ "id": "9dd3ee2a-5ede-4799-950a-3edfe087cd15", "source": "1", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -4077,7 +4077,7 @@ "id": "343a10b6-5988-43b6-8644-fc729cd39668", "source": "1", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -4085,7 +4085,7 @@ "id": "fdf27ade-a018-4787-abca-c7ca41d3ccb4", "source": "1", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -4093,7 +4093,7 @@ "id": "b2a5e74a-75d1-4778-9cb6-c2033a893ae7", "source": "1", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -4101,7 +4101,7 @@ "id": "15a7b4ef-6e67-4428-8a57-1c8b13ca110a", "source": "1", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -4109,7 +4109,7 @@ "id": "384ab13b-5885-4360-aac4-77402ac1ea8f", "source": "1", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -4117,7 +4117,7 @@ "id": "b3a8e238-9c4f-4c6e-9ff8-3521f0e36481", "source": "2", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -4125,7 +4125,7 @@ "id": "82887643-50b2-48a9-b650-567928ab6841", "source": "2", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -4133,7 +4133,7 @@ "id": "99ca64f3-23fe-46cd-b610-5753545850ee", "source": "2", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -4141,7 +4141,7 @@ "id": "a7ddc508-a962-4557-ad05-703f04cf822a", "source": "2", "target": "9", - "weight": 1 + "weight": 1.0 } }, { @@ -4149,7 +4149,7 @@ "id": "a7ebbccb-05b4-4002-9a5d-113cce73537b", "source": "2", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -4157,7 +4157,7 @@ "id": "6ac1d361-5470-472f-b465-23eb66c40f98", "source": "2", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -4165,7 +4165,7 @@ "id": "fbce9fb2-e749-4e10-b623-28ab7f465086", "source": "2", "target": "28", - "weight": 1 + "weight": 1.0 } }, { @@ -4173,7 +4173,7 @@ "id": "5aadd964-cd7a-43fa-a53a-d9058a1ea563", "source": "2", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4181,7 +4181,7 @@ "id": "802b58e9-9716-4b2e-809e-539abb4026f0", "source": "3", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -4189,7 +4189,7 @@ "id": "ee0c4ee3-f785-4e7a-b0f9-3952afc05434", "source": "3", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -4197,7 +4197,7 @@ "id": "202fe3cb-dca3-432c-9472-c2c606b66391", "source": "3", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -4205,7 +4205,7 @@ "id": "499bbdee-7e45-43f4-bbd5-1e878febabca", "source": "4", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -4213,7 +4213,7 @@ "id": "373b9990-06c9-44dc-8ecf-0177d742c6df", "source": "4", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -4221,7 +4221,7 @@ "id": "3dbe6a3c-4d13-470a-854d-4f2e6526c5ef", "source": "5", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -4229,7 +4229,7 @@ "id": "2444b3e9-4ba0-4865-b885-836d3ede9eaa", "source": "5", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -4237,7 +4237,7 @@ "id": "4a80ae48-952a-436b-9451-8f0ca88fdbe3", "source": "5", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -4245,7 +4245,7 @@ "id": "47d1ceb5-2fe0-42c7-bda4-31bd100b6da7", "source": "6", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -4253,7 +4253,7 @@ "id": "732798e4-2031-4658-867f-9b4bbe8659c5", "source": "8", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -4261,7 +4261,7 @@ "id": "b971a074-3b58-4a40-85b6-4ac7665e8907", "source": "8", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4269,7 +4269,7 @@ "id": "0cde8b2c-9897-49c7-a270-95598f553c7f", "source": "8", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4277,7 +4277,7 @@ "id": "f0a498a5-562f-4ce1-a429-0c27e452eb6d", "source": "9", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4285,7 +4285,7 @@ "id": "f2301bea-5d06-4a1d-810e-ee522e60c2a4", "source": "13", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4293,7 +4293,7 @@ "id": "bf1d042e-eac9-4b70-a0a1-4309f1e77282", "source": "14", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4301,7 +4301,7 @@ "id": "afdd392a-1a22-42d2-a278-61714d9553aa", "source": "14", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4309,7 +4309,7 @@ "id": "9eaa2100-9872-45fa-87ab-ea6341163179", "source": "15", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4317,7 +4317,7 @@ "id": "84f12456-ed72-49d9-a97d-eff47a4618d0", "source": "15", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4325,7 +4325,7 @@ "id": "fca2e358-8e22-48e6-b6ce-0ad119feb0fd", "source": "18", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4333,7 +4333,7 @@ "id": "8ac132f9-1e5c-48f7-a73e-eb5d8cedcab9", "source": "18", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4341,7 +4341,7 @@ "id": "24fe0d53-1dc6-46c5-964a-4653be2eee05", "source": "19", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4349,7 +4349,7 @@ "id": "1418f9c1-d67c-4c48-8b24-f611caaebb7d", "source": "20", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4357,7 +4357,7 @@ "id": "fc11a592-39cf-44a3-9fb7-4c53c9287408", "source": "20", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4365,7 +4365,7 @@ "id": "dd038e26-f5f9-4888-bf11-16688cc4e47f", "source": "22", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4373,7 +4373,7 @@ "id": "4dcd4567-d207-424d-8f08-89f3cbea3f40", "source": "22", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4381,7 +4381,7 @@ "id": "e2c3aa0f-84d6-4910-94ca-d1f833bbcb42", "source": "23", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -4389,7 +4389,7 @@ "id": "8f4c250c-2a6b-45c6-85e5-18ad6483d646", "source": "23", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -4397,7 +4397,7 @@ "id": "0a620bf5-7167-47fb-9f75-9f18bc6b64b7", "source": "23", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -4405,7 +4405,7 @@ "id": "2ebd1099-6fd2-43bc-b32b-57900fd46e00", "source": "23", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4413,7 +4413,7 @@ "id": "285065a2-6f57-4869-bbb6-ddbdd86f79af", "source": "23", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4421,7 +4421,7 @@ "id": "5aed2dc9-7a79-4275-8298-402a93814048", "source": "24", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -4429,7 +4429,7 @@ "id": "d9fd98d6-7153-4f39-9d99-4646afbe7c19", "source": "24", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -4437,7 +4437,7 @@ "id": "cd6da3ae-6640-4787-8c93-e2ef69c0c958", "source": "24", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -4445,7 +4445,7 @@ "id": "2ae8dc81-17a4-4c08-aed8-c44e32c9dcf9", "source": "25", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -4453,7 +4453,7 @@ "id": "5f593c39-d703-49f0-b25a-e62af4a242e3", "source": "26", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -4461,7 +4461,7 @@ "id": "2cdddeb3-6bbf-4bf7-bac5-b715ede01f83", "source": "26", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4469,7 +4469,7 @@ "id": "2c2e8436-2cf5-4544-a314-c95550c35240", "source": "27", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4477,7 +4477,7 @@ "id": "46807576-2dc8-4403-aba6-5379dfe65599", "source": "28", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -4485,7 +4485,7 @@ "id": "e29bab8b-ab88-4fdb-a449-e6b211ed96ba", "source": "28", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4493,7 +4493,7 @@ "id": "7a82bb13-91f4-415b-a5a6-d0f4e1902b96", "source": "29", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4501,7 +4501,7 @@ "id": "0e8add9d-d0ad-4de0-8c45-12f25bb18cf6", "source": "29", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4509,7 +4509,7 @@ "id": "0c032f97-c2f1-4dc5-875f-0285b0e5c7bb", "source": "30", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4517,7 +4517,7 @@ "id": "85551060-3f52-4b92-8fd7-66995a3ead87", "source": "30", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4525,7 +4525,7 @@ "id": "78f958a4-9de3-4457-9129-6cbb2625130a", "source": "31", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -4533,7 +4533,7 @@ "id": "68084c65-23a8-4d3c-80e6-d87f481254c0", "source": "31", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -4541,7 +4541,7 @@ "id": "33df238f-2b89-4530-9a3c-e5714cd84e59", "source": "32", "target": "33", - "weight": 1 + "weight": 1.0 } } ], @@ -4550,238 +4550,238 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } }, { "data": { "id": "5", "name": "5", - "value": 5 + "value": 5.0 } }, { "data": { "id": "6", "name": "6", - "value": 6 + "value": 6.0 } }, { "data": { "id": "7", "name": "7", - "value": 7 + "value": 7.0 } }, { "data": { "id": "8", "name": "8", - "value": 8 + "value": 8.0 } }, { "data": { "id": "9", "name": "9", - "value": 9 + "value": 9.0 } }, { "data": { "id": "10", "name": "10", - "value": 10 + "value": 10.0 } }, { "data": { "id": "11", "name": "11", - "value": 11 + "value": 11.0 } }, { "data": { "id": "12", "name": "12", - "value": 12 + "value": 12.0 } }, { "data": { "id": "13", "name": "13", - "value": 13 + "value": 13.0 } }, { "data": { "id": "14", "name": "14", - "value": 14 + "value": 14.0 } }, { "data": { "id": "15", "name": "15", - "value": 15 + "value": 15.0 } }, { "data": { "id": "16", "name": "16", - "value": 16 + "value": 16.0 } }, { "data": { "id": "17", "name": "17", - "value": 17 + "value": 17.0 } }, { "data": { "id": "18", "name": "18", - "value": 18 + "value": 18.0 } }, { "data": { "id": "19", "name": "19", - "value": 19 + "value": 19.0 } }, { "data": { "id": "20", "name": "20", - "value": 20 + "value": 20.0 } }, { "data": { "id": "21", "name": "21", - "value": 21 + "value": 21.0 } }, { "data": { "id": "22", "name": "22", - "value": 22 + "value": 22.0 } }, { "data": { "id": "23", "name": "23", - "value": 23 + "value": 23.0 } }, { "data": { "id": "24", "name": "24", - "value": 24 + "value": 24.0 } }, { "data": { "id": "25", "name": "25", - "value": 25 + "value": 25.0 } }, { "data": { "id": "26", "name": "26", - "value": 26 + "value": 26.0 } }, { "data": { "id": "27", "name": "27", - "value": 27 + "value": 27.0 } }, { "data": { "id": "28", "name": "28", - "value": 28 + "value": 28.0 } }, { "data": { "id": "29", "name": "29", - "value": 29 + "value": 29.0 } }, { "data": { "id": "30", "name": "30", - "value": 30 + "value": 30.0 } }, { "data": { "id": "31", "name": "31", - "value": 31 + "value": 31.0 } }, { "data": { "id": "32", "name": "32", - "value": 32 + "value": 32.0 } }, { "data": { "id": "33", "name": "33", - "value": 33 + "value": 33.0 } } ] @@ -4819,44 +4819,44 @@ "edges": [ { "data": { - "source": 0, - "target": 1, - "weight": 1 + "source": 0.0, + "target": 1.0, + "weight": 1.0 } }, { "data": { - "source": 0, - "target": 4, - "weight": 1 + "source": 0.0, + "target": 4.0, + "weight": 1.0 } }, { "data": { - "source": 1, - "target": 2, - "weight": 1 + "source": 1.0, + "target": 2.0, + "weight": 1.0 } }, { "data": { - "source": 1, - "target": 4, - "weight": 1 + "source": 1.0, + "target": 4.0, + "weight": 1.0 } }, { "data": { - "source": 2, - "target": 3, - "weight": 1 + "source": 2.0, + "target": 3.0, + "weight": 1.0 } }, { "data": { - "source": 3, - "target": 4, - "weight": 1 + "source": 3.0, + "target": 4.0, + "weight": 1.0 } } ], @@ -4865,35 +4865,35 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } } ] @@ -4934,7 +4934,7 @@ "id": "551fd1b3-5a93-4f15-ab93-7485f9cc2116", "source": "0", "target": "1", - "weight": 1 + "weight": 1.0 } }, { @@ -4942,7 +4942,7 @@ "id": "a8b84537-7766-46a9-9c2a-adeccd0b7d32", "source": "0", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -4950,7 +4950,7 @@ "id": "c1b923e3-df7c-47ef-9a05-b566e8bb04f7", "source": "0", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -4958,7 +4958,7 @@ "id": "13aaf40f-e97b-4171-ba7f-621e9defb345", "source": "0", "target": "4", - "weight": 1 + "weight": 1.0 } }, { @@ -4966,7 +4966,7 @@ "id": "51aad585-f5e8-4a66-8780-54af075e62c4", "source": "0", "target": "5", - "weight": 1 + "weight": 1.0 } }, { @@ -4974,7 +4974,7 @@ "id": "27c8fad8-6f0b-4747-aa1b-77b1c670e9c2", "source": "0", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -4982,7 +4982,7 @@ "id": "bbef9a77-12f1-4062-9170-22d8dc1ecfea", "source": "0", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -4990,7 +4990,7 @@ "id": "a27e6411-140d-4f85-bbf3-3d959d7791f7", "source": "0", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -4998,7 +4998,7 @@ "id": "d9da351e-fa80-4ddb-8fe6-6a2d0c60cb2f", "source": "0", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -5006,7 +5006,7 @@ "id": "7064826a-c7e9-46a3-9dce-548fd4f77f4b", "source": "0", "target": "11", - "weight": 1 + "weight": 1.0 } }, { @@ -5014,7 +5014,7 @@ "id": "da2f93bc-eb6b-42c4-9090-384c4be6f5e8", "source": "0", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -5022,7 +5022,7 @@ "id": "9886c237-0eba-4bff-b534-5190bd03c398", "source": "0", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -5030,7 +5030,7 @@ "id": "ecd26111-bba7-4d5a-bacf-9a41885ccbd1", "source": "0", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -5038,7 +5038,7 @@ "id": "f387b0a4-55b1-46e0-b572-fb443520654a", "source": "0", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -5046,7 +5046,7 @@ "id": "aed37cac-12c1-4b74-8c90-15de76ec30e5", "source": "0", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -5054,7 +5054,7 @@ "id": "e07f34a2-960e-4311-a9ac-5c40b93b3409", "source": "0", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -5062,7 +5062,7 @@ "id": "cdf78fd3-1738-4be6-b965-2fab494bf40c", "source": "1", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -5070,7 +5070,7 @@ "id": "4dcd6b4d-2e01-443e-ab03-723a6e48692f", "source": "1", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -5078,7 +5078,7 @@ "id": "d163602b-b33b-4cc2-bb76-18e4a102bce3", "source": "1", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -5086,7 +5086,7 @@ "id": "b912f732-e191-4d0a-9ef0-3b8aef5f3b45", "source": "1", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -5094,7 +5094,7 @@ "id": "bab99a05-d216-4908-9ec2-e50bbb1ff8da", "source": "1", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -5102,7 +5102,7 @@ "id": "d8b94174-566d-48d6-b29d-cc796505f8dd", "source": "1", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -5110,7 +5110,7 @@ "id": "f1893c52-a51a-439b-bda3-1c67cc2fad34", "source": "1", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -5118,7 +5118,7 @@ "id": "75f82446-cf15-461e-b520-f527c95eae2b", "source": "1", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -5126,7 +5126,7 @@ "id": "633b270c-52a4-4c4d-a943-59791a61bad8", "source": "2", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -5134,7 +5134,7 @@ "id": "1dbd0ced-983b-420a-ae51-83711be0e97c", "source": "2", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -5142,7 +5142,7 @@ "id": "6908943f-051c-4845-83e7-c7f05529261d", "source": "2", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -5150,7 +5150,7 @@ "id": "b9368201-d47b-4cf5-8c2b-1fb82013d868", "source": "2", "target": "9", - "weight": 1 + "weight": 1.0 } }, { @@ -5158,7 +5158,7 @@ "id": "46d53645-d59a-4f21-ac95-ac014e8f046d", "source": "2", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -5166,7 +5166,7 @@ "id": "bd4ab14f-e279-4a88-8c12-ab5d8413a281", "source": "2", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -5174,7 +5174,7 @@ "id": "156aa20e-dce1-4c62-ae25-4cbf439e2911", "source": "2", "target": "28", - "weight": 1 + "weight": 1.0 } }, { @@ -5182,7 +5182,7 @@ "id": "e76a5751-40f3-4d30-bc7c-2e48e988d8c2", "source": "2", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5190,7 +5190,7 @@ "id": "714a1e78-0d04-4729-8189-0e7f6bc52b56", "source": "3", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -5198,7 +5198,7 @@ "id": "a7699505-ce04-4b40-88de-c1573e19c563", "source": "3", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -5206,7 +5206,7 @@ "id": "4404d7f1-7eb1-47b4-9c2b-264ff5483461", "source": "3", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -5214,7 +5214,7 @@ "id": "f531fc39-1653-424e-8485-f23237bbf745", "source": "4", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -5222,7 +5222,7 @@ "id": "26737cae-d454-46e4-9378-1c8b874639bd", "source": "4", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -5230,7 +5230,7 @@ "id": "d03a21d9-2031-4b21-934f-35331e6f3a96", "source": "5", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -5238,7 +5238,7 @@ "id": "79549152-aa85-4d12-915f-ad5309bac470", "source": "5", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -5246,7 +5246,7 @@ "id": "d79bc45d-120b-4aec-9cfa-8bccc4cb9642", "source": "5", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -5254,7 +5254,7 @@ "id": "501b135c-c393-4e56-9146-05783401b44f", "source": "6", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -5262,7 +5262,7 @@ "id": "8dfc3091-e3ee-4137-8d6f-496622f48eb6", "source": "8", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -5270,7 +5270,7 @@ "id": "91242b9e-d62a-4250-ada3-b02de728b6cb", "source": "8", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5278,7 +5278,7 @@ "id": "b3afc64e-8bb0-4bfc-8e80-77a09ed33d80", "source": "8", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5286,7 +5286,7 @@ "id": "b6f50c48-2e7c-450c-8f03-90b598597278", "source": "9", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5294,7 +5294,7 @@ "id": "76ceae9f-c4ef-4941-824a-db1b76f8920f", "source": "13", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5302,7 +5302,7 @@ "id": "bfbd8a56-04be-4149-b32a-6df964d21a2f", "source": "14", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5310,7 +5310,7 @@ "id": "ff907bf4-fc81-4072-85e9-01a81fc4c99d", "source": "14", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5318,7 +5318,7 @@ "id": "09460376-2f72-4cd0-b9f7-02206f6917ed", "source": "15", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5326,7 +5326,7 @@ "id": "9a569d58-79cf-4f89-841a-d8ed9f8c9526", "source": "15", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5334,7 +5334,7 @@ "id": "b5af13c8-7f4c-4d06-a4c0-2a5cfa9b20ab", "source": "18", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5342,7 +5342,7 @@ "id": "af7f6587-56eb-466e-9307-cb992b558277", "source": "18", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5350,7 +5350,7 @@ "id": "44b6da03-c650-4a71-8d7b-9e21a7c03ba8", "source": "19", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5358,7 +5358,7 @@ "id": "a596cdad-9e21-4012-af92-df7ff9c35fce", "source": "20", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5366,7 +5366,7 @@ "id": "c3567bd5-2096-4355-a009-4c9b9e801dbb", "source": "20", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5374,7 +5374,7 @@ "id": "f4a91c35-48e4-42a7-8b79-1dfb10059542", "source": "22", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5382,7 +5382,7 @@ "id": "f496efcc-ec4b-41d0-b726-7b22e9355cf5", "source": "22", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5390,7 +5390,7 @@ "id": "aead3dc6-0009-4a06-832a-74bfc6961efa", "source": "23", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -5398,7 +5398,7 @@ "id": "66cdd7a7-0c3d-4433-b4c3-22f5450d2d83", "source": "23", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -5406,7 +5406,7 @@ "id": "c8e52f03-c603-47f7-9d01-b6cacd068b17", "source": "23", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -5414,7 +5414,7 @@ "id": "e86fd050-58b5-459c-bc0a-5d77594834d5", "source": "23", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5422,7 +5422,7 @@ "id": "1441c9dc-bbc5-4ee7-b1a2-4cceee2d4641", "source": "23", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5430,7 +5430,7 @@ "id": "7459b539-f799-44f4-bb32-b279db9c35c5", "source": "24", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -5438,7 +5438,7 @@ "id": "8ced93d4-6a69-448d-a79b-ba56688b8b58", "source": "24", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -5446,7 +5446,7 @@ "id": "330eb1db-0a72-450d-933e-1f4517da5494", "source": "24", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -5454,7 +5454,7 @@ "id": "9b0e8ac3-fefd-4bcf-822e-f68e0bc08269", "source": "25", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -5462,7 +5462,7 @@ "id": "073c2ccb-dc0a-454c-80c2-db85f941eec3", "source": "26", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -5470,7 +5470,7 @@ "id": "e86868c3-598c-4cc7-833f-bfb6044bfab0", "source": "26", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5478,7 +5478,7 @@ "id": "cedd9a3e-802d-4b2d-b4bc-093027e03b3a", "source": "27", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5486,7 +5486,7 @@ "id": "3d0c1607-7d98-42d8-8af7-7e5983d1a83b", "source": "28", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -5494,7 +5494,7 @@ "id": "109cfef3-3546-434a-b7f1-e00ec58de98f", "source": "28", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5502,7 +5502,7 @@ "id": "16656ef3-eec5-4983-8f3f-89a120c53ed9", "source": "29", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5510,7 +5510,7 @@ "id": "4eaf2dd0-893a-4d81-90e5-e595fc437bb3", "source": "29", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5518,7 +5518,7 @@ "id": "aae455c6-d869-4419-a43b-105015d44fa0", "source": "30", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5526,7 +5526,7 @@ "id": "ec38985e-cb49-4830-b088-b72c3202bf74", "source": "30", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5534,7 +5534,7 @@ "id": "92391c0c-80cb-41a7-9af7-ffe3adcdd55e", "source": "31", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -5542,7 +5542,7 @@ "id": "d1c6707c-7def-4d80-8e36-10c85f48e082", "source": "31", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -5550,7 +5550,7 @@ "id": "dfdae34a-12e1-4b82-abe8-95a36d6e6b00", "source": "32", "target": "33", - "weight": 1 + "weight": 1.0 } } ], @@ -5559,238 +5559,238 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } }, { "data": { "id": "5", "name": "5", - "value": 5 + "value": 5.0 } }, { "data": { "id": "6", "name": "6", - "value": 6 + "value": 6.0 } }, { "data": { "id": "7", "name": "7", - "value": 7 + "value": 7.0 } }, { "data": { "id": "8", "name": "8", - "value": 8 + "value": 8.0 } }, { "data": { "id": "9", "name": "9", - "value": 9 + "value": 9.0 } }, { "data": { "id": "10", "name": "10", - "value": 10 + "value": 10.0 } }, { "data": { "id": "11", "name": "11", - "value": 11 + "value": 11.0 } }, { "data": { "id": "12", "name": "12", - "value": 12 + "value": 12.0 } }, { "data": { "id": "13", "name": "13", - "value": 13 + "value": 13.0 } }, { "data": { "id": "14", "name": "14", - "value": 14 + "value": 14.0 } }, { "data": { "id": "15", "name": "15", - "value": 15 + "value": 15.0 } }, { "data": { "id": "16", "name": "16", - "value": 16 + "value": 16.0 } }, { "data": { "id": "17", "name": "17", - "value": 17 + "value": 17.0 } }, { "data": { "id": "18", "name": "18", - "value": 18 + "value": 18.0 } }, { "data": { "id": "19", "name": "19", - "value": 19 + "value": 19.0 } }, { "data": { "id": "20", "name": "20", - "value": 20 + "value": 20.0 } }, { "data": { "id": "21", "name": "21", - "value": 21 + "value": 21.0 } }, { "data": { "id": "22", "name": "22", - "value": 22 + "value": 22.0 } }, { "data": { "id": "23", "name": "23", - "value": 23 + "value": 23.0 } }, { "data": { "id": "24", "name": "24", - "value": 24 + "value": 24.0 } }, { "data": { "id": "25", "name": "25", - "value": 25 + "value": 25.0 } }, { "data": { "id": "26", "name": "26", - "value": 26 + "value": 26.0 } }, { "data": { "id": "27", "name": "27", - "value": 27 + "value": 27.0 } }, { "data": { "id": "28", "name": "28", - "value": 28 + "value": 28.0 } }, { "data": { "id": "29", "name": "29", - "value": 29 + "value": 29.0 } }, { "data": { "id": "30", "name": "30", - "value": 30 + "value": 30.0 } }, { "data": { "id": "31", "name": "31", - "value": 31 + "value": 31.0 } }, { "data": { "id": "32", "name": "32", - "value": 32 + "value": 32.0 } }, { "data": { "id": "33", "name": "33", - "value": 33 + "value": 33.0 } } ] @@ -5819,7 +5819,7 @@ "id": "69cf026c-2b87-4239-9902-b0286091d1ff", "source": "0", "target": "1", - "weight": 1 + "weight": 1.0 } }, { @@ -5827,7 +5827,7 @@ "id": "013dbbaf-6b50-4e8e-b89f-f1a8427ecc17", "source": "0", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -5835,7 +5835,7 @@ "id": "7747d99d-bef6-4a0b-a7c4-ea04fa224210", "source": "0", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -5843,7 +5843,7 @@ "id": "daecda1b-bb5c-4579-afe7-43bef94f2e3d", "source": "0", "target": "4", - "weight": 1 + "weight": 1.0 } }, { @@ -5851,7 +5851,7 @@ "id": "4e6e4d85-e164-4b1e-bad6-7425bf683888", "source": "0", "target": "5", - "weight": 1 + "weight": 1.0 } }, { @@ -5859,7 +5859,7 @@ "id": "cf4acb9e-7321-4060-bc94-d28dfea5af74", "source": "0", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -5867,7 +5867,7 @@ "id": "ddfb0397-326e-4669-9826-76fb5dbb5463", "source": "0", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -5875,7 +5875,7 @@ "id": "67d8a961-3304-4471-8e94-7eeec25a3811", "source": "0", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -5883,7 +5883,7 @@ "id": "439f6b38-4d18-4a34-8c1a-cbc527b85ecb", "source": "0", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -5891,7 +5891,7 @@ "id": "b219383f-64c7-479c-ba11-981c849d9749", "source": "0", "target": "11", - "weight": 1 + "weight": 1.0 } }, { @@ -5899,7 +5899,7 @@ "id": "0edd6d9a-45f2-432a-b49b-587974b4c251", "source": "0", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -5907,7 +5907,7 @@ "id": "61b5d875-6927-4bd9-b862-92fd2bbbc3a4", "source": "0", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -5915,7 +5915,7 @@ "id": "7a5a99ab-dadc-4629-b666-0b58bac95c65", "source": "0", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -5923,7 +5923,7 @@ "id": "cb793e1e-6a7d-45f2-9da9-ea115954edbf", "source": "0", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -5931,7 +5931,7 @@ "id": "a80a7620-03c0-44ac-82aa-983199c529e2", "source": "0", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -5939,7 +5939,7 @@ "id": "112c1508-b761-42a6-9388-b48b6496b3e1", "source": "0", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -5947,7 +5947,7 @@ "id": "a872e718-cfef-4b0a-8625-92e3a30a9026", "source": "1", "target": "2", - "weight": 1 + "weight": 1.0 } }, { @@ -5955,7 +5955,7 @@ "id": "0920d503-4bd5-4666-85bc-f29e09c4b0a8", "source": "1", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -5963,7 +5963,7 @@ "id": "fbd41d4e-365f-4391-bd04-d62b66ae623a", "source": "1", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -5971,7 +5971,7 @@ "id": "ce0c05f5-81b8-4e16-a4e4-b3ec1f2ffe3f", "source": "1", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -5979,7 +5979,7 @@ "id": "70d27dae-2a22-4532-a189-53dc13ff2dfd", "source": "1", "target": "17", - "weight": 1 + "weight": 1.0 } }, { @@ -5987,7 +5987,7 @@ "id": "6d1598f9-4597-4a64-a625-9eb206b38e05", "source": "1", "target": "19", - "weight": 1 + "weight": 1.0 } }, { @@ -5995,7 +5995,7 @@ "id": "87bd8fc5-979d-4238-ab0b-b7e9f168adf3", "source": "1", "target": "21", - "weight": 1 + "weight": 1.0 } }, { @@ -6003,7 +6003,7 @@ "id": "1924a66a-4e50-481f-ac66-b70362c12760", "source": "1", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -6011,7 +6011,7 @@ "id": "2ce06962-01d9-49aa-b0a9-bada37f436f6", "source": "2", "target": "3", - "weight": 1 + "weight": 1.0 } }, { @@ -6019,7 +6019,7 @@ "id": "661b1a9b-0d4e-435e-b78f-e4dfb82eface", "source": "2", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -6027,7 +6027,7 @@ "id": "18b791d0-1476-453c-a5cb-b9acab3bba46", "source": "2", "target": "8", - "weight": 1 + "weight": 1.0 } }, { @@ -6035,7 +6035,7 @@ "id": "3387950a-fb7a-42b5-a61c-97d9f292ac09", "source": "2", "target": "9", - "weight": 1 + "weight": 1.0 } }, { @@ -6043,7 +6043,7 @@ "id": "b4027e1e-bac5-4dfa-93b4-77d763e2799b", "source": "2", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -6051,7 +6051,7 @@ "id": "091b2510-bdb9-4d41-9aa5-6c9710085533", "source": "2", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -6059,7 +6059,7 @@ "id": "9794d554-1358-4fd3-ad8c-101779ae73d0", "source": "2", "target": "28", - "weight": 1 + "weight": 1.0 } }, { @@ -6067,7 +6067,7 @@ "id": "fb094633-d26d-408a-ae8c-417458375e95", "source": "2", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6075,7 +6075,7 @@ "id": "22e8399b-e3d7-4de6-9a45-3479b7031c12", "source": "3", "target": "7", - "weight": 1 + "weight": 1.0 } }, { @@ -6083,7 +6083,7 @@ "id": "fca22c0d-e185-4fb9-9755-3e8e5eb53067", "source": "3", "target": "12", - "weight": 1 + "weight": 1.0 } }, { @@ -6091,7 +6091,7 @@ "id": "b8c864c0-cdb1-42bc-b261-627292219c85", "source": "3", "target": "13", - "weight": 1 + "weight": 1.0 } }, { @@ -6099,7 +6099,7 @@ "id": "a7edd9c3-63c5-4866-9aa1-801204cb2a27", "source": "4", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -6107,7 +6107,7 @@ "id": "72947c3f-64c8-4af8-9842-10a364ec140e", "source": "4", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -6115,7 +6115,7 @@ "id": "3d141097-a979-4d10-aea3-8d6b0d44998b", "source": "5", "target": "6", - "weight": 1 + "weight": 1.0 } }, { @@ -6123,7 +6123,7 @@ "id": "7f1782b6-8764-4ec9-8ec8-9e3dee18f69d", "source": "5", "target": "10", - "weight": 1 + "weight": 1.0 } }, { @@ -6131,7 +6131,7 @@ "id": "97e5cedc-26f5-413c-8be4-9a0fa2cc14e1", "source": "5", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -6139,7 +6139,7 @@ "id": "edf7c579-53e0-48f4-99e5-9db83df3f43e", "source": "6", "target": "16", - "weight": 1 + "weight": 1.0 } }, { @@ -6147,7 +6147,7 @@ "id": "4367b3eb-e57c-4a00-ba06-b09e8c75f07e", "source": "8", "target": "30", - "weight": 1 + "weight": 1.0 } }, { @@ -6155,7 +6155,7 @@ "id": "fee59c2e-f41c-46f4-9831-70659c07f046", "source": "8", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6163,7 +6163,7 @@ "id": "0bd652c9-6cb8-46f4-8109-ce2c0bc32691", "source": "8", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6171,7 +6171,7 @@ "id": "96445dfe-f053-44ab-85c7-ecfb43069157", "source": "9", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6179,7 +6179,7 @@ "id": "5c505b16-e0c3-4f2d-bb94-7c656927dbed", "source": "13", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6187,7 +6187,7 @@ "id": "2fd56502-e084-4f98-aabb-6bd5467607b2", "source": "14", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6195,7 +6195,7 @@ "id": "11afc4cb-ecf8-4705-8fc7-73a4fd32f118", "source": "14", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6203,7 +6203,7 @@ "id": "67d68151-1f57-4fcf-a424-73b49bab2739", "source": "15", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6211,7 +6211,7 @@ "id": "fcb1cc2f-c9f4-4050-8697-6542474eefa8", "source": "15", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6219,7 +6219,7 @@ "id": "6949a0e6-674c-4e7a-a5bb-802b480b6428", "source": "18", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6227,7 +6227,7 @@ "id": "5a8da6e0-7682-4aa9-a2b5-facb5460b1e5", "source": "18", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6235,7 +6235,7 @@ "id": "7107f8fe-8240-44fb-a10e-d43cd8ee6d72", "source": "19", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6243,7 +6243,7 @@ "id": "07ec3c9e-d23d-4547-87dd-b969ed2db746", "source": "20", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6251,7 +6251,7 @@ "id": "63ebd213-5e8f-4106-8799-fee48af0a409", "source": "20", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6259,7 +6259,7 @@ "id": "b9d5fb21-79ad-480d-a735-98170275f89c", "source": "22", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6267,7 +6267,7 @@ "id": "34bd52db-52c2-4a46-88fe-d10020f6980a", "source": "22", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6275,7 +6275,7 @@ "id": "cee6cd3a-8c22-4e79-a199-8666f3736de4", "source": "23", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -6283,7 +6283,7 @@ "id": "6b49e9ca-4a16-46c7-a8c1-7fc70e34b5bf", "source": "23", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -6291,7 +6291,7 @@ "id": "c211366b-7bf9-46c4-b78c-663aa7c29242", "source": "23", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -6299,7 +6299,7 @@ "id": "64abdfa4-29eb-4c79-832c-13b7ae2cadbf", "source": "23", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6307,7 +6307,7 @@ "id": "0b005c48-e639-427f-9c98-c0e3aa1915a6", "source": "23", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6315,7 +6315,7 @@ "id": "ee77dedd-280b-4f82-808b-93d01da14317", "source": "24", "target": "25", - "weight": 1 + "weight": 1.0 } }, { @@ -6323,7 +6323,7 @@ "id": "2ce0e7d3-ee26-48a3-a00f-614dd59fefbe", "source": "24", "target": "27", - "weight": 1 + "weight": 1.0 } }, { @@ -6331,7 +6331,7 @@ "id": "3c7aafdf-e04e-4afd-a637-8d1c618913f4", "source": "24", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -6339,7 +6339,7 @@ "id": "7869ddc3-8ebb-40be-b026-c1f637e8f0ce", "source": "25", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -6347,7 +6347,7 @@ "id": "2e045a4f-e737-453a-8282-9f76f4dd4913", "source": "26", "target": "29", - "weight": 1 + "weight": 1.0 } }, { @@ -6355,7 +6355,7 @@ "id": "eabd5845-3061-4c13-9e7b-72425ca29e08", "source": "26", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6363,7 +6363,7 @@ "id": "108877ef-9ee6-4c19-b90a-abe57bfa72f0", "source": "27", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6371,7 +6371,7 @@ "id": "7f61ac42-3de2-4a11-9419-9ce9656fdd38", "source": "28", "target": "31", - "weight": 1 + "weight": 1.0 } }, { @@ -6379,7 +6379,7 @@ "id": "d7b2cd53-7458-4173-9b3c-81d8f582c046", "source": "28", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6387,7 +6387,7 @@ "id": "96c6a6d7-5171-4f67-ad77-f836649c4e67", "source": "29", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6395,7 +6395,7 @@ "id": "ad775633-de73-4c8d-90f5-17f296f5cfad", "source": "29", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6403,7 +6403,7 @@ "id": "0390aa4d-76b8-4e84-8bcd-0396ed622630", "source": "30", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6411,7 +6411,7 @@ "id": "e34228ad-65e3-4b3b-88c6-256eb709fd5f", "source": "30", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6419,7 +6419,7 @@ "id": "dc075716-e405-45ed-a66f-f20927ddbda7", "source": "31", "target": "32", - "weight": 1 + "weight": 1.0 } }, { @@ -6427,7 +6427,7 @@ "id": "ea4ef7ce-61e9-43e4-b426-4c7ab05c2835", "source": "31", "target": "33", - "weight": 1 + "weight": 1.0 } }, { @@ -6435,7 +6435,7 @@ "id": "f224455f-e2f4-4066-aeba-b964e831a2da", "source": "32", "target": "33", - "weight": 1 + "weight": 1.0 } } ], @@ -6444,238 +6444,238 @@ "data": { "id": "0", "name": "0", - "value": 0 + "value": 0.0 } }, { "data": { "id": "1", "name": "1", - "value": 1 + "value": 1.0 } }, { "data": { "id": "2", "name": "2", - "value": 2 + "value": 2.0 } }, { "data": { "id": "3", "name": "3", - "value": 3 + "value": 3.0 } }, { "data": { "id": "4", "name": "4", - "value": 4 + "value": 4.0 } }, { "data": { "id": "5", "name": "5", - "value": 5 + "value": 5.0 } }, { "data": { "id": "6", "name": "6", - "value": 6 + "value": 6.0 } }, { "data": { "id": "7", "name": "7", - "value": 7 + "value": 7.0 } }, { "data": { "id": "8", "name": "8", - "value": 8 + "value": 8.0 } }, { "data": { "id": "9", "name": "9", - "value": 9 + "value": 9.0 } }, { "data": { "id": "10", "name": "10", - "value": 10 + "value": 10.0 } }, { "data": { "id": "11", "name": "11", - "value": 11 + "value": 11.0 } }, { "data": { "id": "12", "name": "12", - "value": 12 + "value": 12.0 } }, { "data": { "id": "13", "name": "13", - "value": 13 + "value": 13.0 } }, { "data": { "id": "14", "name": "14", - "value": 14 + "value": 14.0 } }, { "data": { "id": "15", "name": "15", - "value": 15 + "value": 15.0 } }, { "data": { "id": "16", "name": "16", - "value": 16 + "value": 16.0 } }, { "data": { "id": "17", "name": "17", - "value": 17 + "value": 17.0 } }, { "data": { "id": "18", "name": "18", - "value": 18 + "value": 18.0 } }, { "data": { "id": "19", "name": "19", - "value": 19 + "value": 19.0 } }, { "data": { "id": "20", "name": "20", - "value": 20 + "value": 20.0 } }, { "data": { "id": "21", "name": "21", - "value": 21 + "value": 21.0 } }, { "data": { "id": "22", "name": "22", - "value": 22 + "value": 22.0 } }, { "data": { "id": "23", "name": "23", - "value": 23 + "value": 23.0 } }, { "data": { "id": "24", "name": "24", - "value": 24 + "value": 24.0 } }, { "data": { "id": "25", "name": "25", - "value": 25 + "value": 25.0 } }, { "data": { "id": "26", "name": "26", - "value": 26 + "value": 26.0 } }, { "data": { "id": "27", "name": "27", - "value": 27 + "value": 27.0 } }, { "data": { "id": "28", "name": "28", - "value": 28 + "value": 28.0 } }, { "data": { "id": "29", "name": "29", - "value": 29 + "value": 29.0 } }, { "data": { "id": "30", "name": "30", - "value": 30 + "value": 30.0 } }, { "data": { "id": "31", "name": "31", - "value": 31 + "value": 31.0 } }, { "data": { "id": "32", "name": "32", - "value": 32 + "value": 32.0 } }, { "data": { "id": "33", "name": "33", - "value": 33 + "value": 33.0 } } ] @@ -6700,8 +6700,8 @@ "state": {} } }, - "version_major": 2, - "version_minor": 0 + "version_major": 2.0, + "version_minor": 0.0 } } }, diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 14476e648..4d45219a7 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -352,11 +352,16 @@ class Louvain(Algorithm): Seek the best partition of the nodes with respect to its modularity by performing local updates in a greedy fashion. The modularity of a partition is - :math:`Q = \\sum_{ij}\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2}\\big)\\delta_{ij}`, + :math:`Q = \\sum_{ij}\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2}\\big)\\delta_{ij}`, - where :math:`\\gamma \\ge 0` is a resolution parameter and :math:`\\delta_{ij} = 1` if nodes :math:`i` and :math:`j` + where + + :math:`\\gamma \\ge 0` is a resolution parameter + :math:`\\delta_{ij} = 1` if nodes :math:`i` and :math:`j` belong to the same cluster and :math:`\\delta_{ij} = 0` otherwise. + If the matrix + Parameters ---------- algorithm: From b83daf5bd044f1cc886ccc2c4b3f1dbe9b5fbf15 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 9 Jul 2019 16:56:21 +0200 Subject: [PATCH 08/92] Style --- docs/reference/introduction.rst | 2 +- sknetwork/clustering/louvain.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/reference/introduction.rst b/docs/reference/introduction.rst index 897632311..ee629b8da 100644 --- a/docs/reference/introduction.rst +++ b/docs/reference/introduction.rst @@ -48,7 +48,7 @@ We use the following notations in the documentation: * :math:`P^-= {D^-}^{-1}A` is the transition matrix of the random walk in reverse direction (for positive node in-weights). * :math:`w = 1^T A1` is the total weight of the graph. -**Bipartite graphs +**Bipartite graphs** * :math:`B` denotes the biadjacency matrix of the graph, rows and columns corresponding to samples and features. * :math:`d = B1` is the vector of sample weights. diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 4d45219a7..12a53f28e 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -360,7 +360,6 @@ class Louvain(Algorithm): :math:`\\delta_{ij} = 1` if nodes :math:`i` and :math:`j` belong to the same cluster and :math:`\\delta_{ij} = 0` otherwise. - If the matrix Parameters ---------- From 32f7e79b8883bdec465e87d83d0dce2abb04bb71 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Tue, 9 Jul 2019 17:06:01 +0200 Subject: [PATCH 09/92] Docs intro subsubsections --- docs/reference/introduction.rst | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/docs/reference/introduction.rst b/docs/reference/introduction.rst index ee629b8da..873f860b9 100644 --- a/docs/reference/introduction.rst +++ b/docs/reference/introduction.rst @@ -28,7 +28,8 @@ About the documentation We use the following notations in the documentation: -**Undirected graphs** +Undirected graphs +^^^^^^^^^^^^^^^^^ * :math:`A` is the adjacency matrix of the graph. * :math:`d = A1` is the vector of node weights (node degrees if the matrix :math:`A` is binary) @@ -37,7 +38,8 @@ We use the following notations in the documentation: * :math:`P = D^{-1}A` is the transition matrix of the random walk in the graph (for positive node weights). * :math:`w = 1^T A1` is the total weight of the graph. -**Directed graphs** +Directed graphs +^^^^^^^^^^^^^^^ * :math:`A` is the adjacency matrix of the graph. * :math:`d^+ = A1` is the vector of node out-weights (node out-degrees if the matrix :math:`A` is binary) @@ -48,7 +50,8 @@ We use the following notations in the documentation: * :math:`P^-= {D^-}^{-1}A` is the transition matrix of the random walk in reverse direction (for positive node in-weights). * :math:`w = 1^T A1` is the total weight of the graph. -**Bipartite graphs** +Bipartite graphs +^^^^^^^^^^^^^^^^ * :math:`B` denotes the biadjacency matrix of the graph, rows and columns corresponding to samples and features. * :math:`d = B1` is the vector of sample weights. From 4b049ccdb13fa6f800a0bb39f93500ace3e2af0e Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 9 Jul 2019 18:03:21 +0200 Subject: [PATCH 10/92] Comment on pseudo-inverse --- sknetwork/ranking/pagerank.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index f2f9cfa9e..5ac8b0f2f 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -121,7 +121,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], else: n_nodes: int = adjacency.shape[0] - # pseudo inverse square-root out-degree matrix + # pseudo inverse out-degree matrix diag_out: sparse.csr_matrix = sparse.diags(adjacency.dot(np.ones(n_nodes)), shape=(n_nodes, n_nodes), format='csr') diag_out.data = 1 / diag_out.data From d41559aa59fc8cb409d6853748cc651ff8e85a54 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Tue, 9 Jul 2019 18:29:38 +0200 Subject: [PATCH 11/92] Linear Algebra * first commit for linalg submodule * modified Spectral Algorithm * modified dependencies * extra tests --- docs/reference/index.rst | 1 + docs/reference/linalg.rst | 32 ++++ docs/reference/utils.rst | 14 -- sknetwork/embedding/__init__.py | 1 + sknetwork/embedding/spectral.py | 63 +++---- sknetwork/embedding/tests/test_embeddings.py | 2 +- sknetwork/linalg/__init__.py | 4 + sknetwork/linalg/eig.py | 166 ++++++++++++++++++ .../randomized_matrix_factorization.py | 2 +- sknetwork/{utils => linalg}/sparse_lowrank.py | 7 +- sknetwork/linalg/tests/__init__.py | 0 .../test_randomized_matrix_factorization.py | 2 +- sknetwork/linalg/tests/test_solvers.py | 40 +++++ .../tests/test_sparse_lowrank.py | 4 +- sknetwork/utils/__init__.py | 2 - sknetwork/utils/adjacency_formats.py | 2 +- sknetwork/utils/tests/test_formats.py | 15 ++ 17 files changed, 303 insertions(+), 54 deletions(-) create mode 100644 docs/reference/linalg.rst create mode 100644 sknetwork/linalg/__init__.py create mode 100644 sknetwork/linalg/eig.py rename sknetwork/{utils => linalg}/randomized_matrix_factorization.py (99%) rename sknetwork/{utils => linalg}/sparse_lowrank.py (95%) create mode 100644 sknetwork/linalg/tests/__init__.py rename sknetwork/{utils => linalg}/tests/test_randomized_matrix_factorization.py (92%) create mode 100644 sknetwork/linalg/tests/test_solvers.py rename sknetwork/{utils => linalg}/tests/test_sparse_lowrank.py (93%) diff --git a/docs/reference/index.rst b/docs/reference/index.rst index 08c0cc019..fb679eee9 100644 --- a/docs/reference/index.rst +++ b/docs/reference/index.rst @@ -10,6 +10,7 @@ Reference clustering hierarchy ranking + linalg loader toy_graphs utils diff --git a/docs/reference/linalg.rst b/docs/reference/linalg.rst new file mode 100644 index 000000000..cdf1d8884 --- /dev/null +++ b/docs/reference/linalg.rst @@ -0,0 +1,32 @@ +.. _linalg: + +Linalg +****** + +.. currentmodule:: sknetwork + +Submodule for linear Algebra. + +Sparse + Low Rank structure +--------------------------- + +.. autoclass:: sknetwork.linalg.SparseLR + :members: + +Solvers +------- + +.. autoclass:: sknetwork.linalg.LanczosEig + :members: + +.. autoclass:: sknetwork.linalg.HalkoEig + :members: + +Randomized methods +------------------ + +.. autofunction:: sknetwork.linalg.randomized_matrix_factorization.randomized_range_finder + +.. autofunction:: sknetwork.linalg.randomized_svd + +.. autofunction:: sknetwork.linalg.randomized_eig diff --git a/docs/reference/utils.rst b/docs/reference/utils.rst index 0a7112aac..bbb5b3e3a 100644 --- a/docs/reference/utils.rst +++ b/docs/reference/utils.rst @@ -20,11 +20,6 @@ Preprocessing .. autofunction:: sknetwork.utils.preprocessing.largest_connected_component -Sparse + Low Rank structure ---------------------------- - -.. autoclass:: sknetwork.utils.SparseLR - :members: Projection ---------- @@ -32,15 +27,6 @@ Projection .. autofunction:: sknetwork.utils.projection_simplex -Randomized methods ------------------- - -.. autofunction:: sknetwork.utils.randomized_matrix_factorization.randomized_range_finder - -.. autofunction:: sknetwork.utils.randomized_svd - -.. autofunction:: sknetwork.utils.randomized_eig - Checks ------ diff --git a/sknetwork/embedding/__init__.py b/sknetwork/embedding/__init__.py index e73417ff5..307d21787 100644 --- a/sknetwork/embedding/__init__.py +++ b/sknetwork/embedding/__init__.py @@ -1,3 +1,4 @@ +"""init file for embedding submodule""" from sknetwork.embedding.gsvd import GSVD from sknetwork.embedding.spectral import Spectral from sknetwork.embedding.metrics import linear_fit, dot_modularity, hscore diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index b08abfc9a..68928927e 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -10,8 +10,7 @@ import numpy as np from scipy import sparse -from scipy.sparse.linalg import eigsh -from sknetwork.utils import safe_sparse_dot, randomized_eig, SparseLR +from sknetwork.linalg import safe_sparse_dot, SparseLR, EigSolver, HalkoEig, LanczosEig from sknetwork.utils.adjacency_formats import bipartite2undirected from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork.utils.checks import check_format, check_weights @@ -28,7 +27,7 @@ class Spectral(Algorithm): Dimension of the embedding space node_weights : {``'uniform'``, ``'degree'``, array of length n_nodes with positive entries}, optional Weights used for the normalization for the laplacian, :math:`W^{-1/2} L W^{-1/2}` - low_rank_regularization: ``None`` or float (default=0.01) + regularization: ``None`` or float (default=0.01) Implicitly add edges of given weight between all pairs of nodes. energy_scaling: bool (default=True) If ``True``, rescales each column of the embedding by dividing it by :math:`\\sqrt{\\lambda_i}`. @@ -36,6 +35,11 @@ class Spectral(Algorithm): force_biadjacency: bool (default=False) Only relevant for symmetric inputs. Force the algorithm to treat the adjacency as a biadjacency as it would do for asymmetric inputs. + solver: 'halko', 'lanczos' or EigSolver object + Which eigenvalue solver to use + * 'halko': randomized method, fast but less accurate than 'lanczos' for ill-conditioned matrices + * 'lanczos': power-iteration based method + * custom: the user must provide an EigSolver object. Attributes ---------- @@ -52,8 +56,9 @@ class Spectral(Algorithm): >>> graph = karate_club_graph() >>> spectral = Spectral(embedding_dimension=2) >>> spectral.fit(graph) - Spectral(embedding_dimension=2, node_weights='degree', low_rank_regularization=0.01, energy_scaling=True,\ - force_biadjacency=False) + Spectral(embedding_dimension=2, node_weights='degree', regularization=0.01, energy_scaling=True,\ + force_biadjacency=False, solver=HalkoEig(which='SM', n_oversamples=10, n_iter='auto',\ + power_iteration_normalizer='auto', one_pass=False)) >>> spectral.embedding_.shape (34, 2) @@ -65,32 +70,34 @@ class Spectral(Algorithm): """ def __init__(self, embedding_dimension: int = 2, node_weights='degree', - low_rank_regularization: Union[None, float] = 0.01, energy_scaling: bool = True, - force_biadjacency: bool = False): + regularization: Union[None, float] = 0.01, energy_scaling: bool = True, + force_biadjacency: bool = False, solver: Union[str, EigSolver] = 'halko'): self.embedding_dimension = embedding_dimension self.node_weights = node_weights - if low_rank_regularization == 0: - self.low_rank_regularization = None + if regularization == 0: + self.regularization = None else: - self.low_rank_regularization = low_rank_regularization + self.regularization = regularization self.energy_scaling = energy_scaling self.force_biadjacency = force_biadjacency + if solver == 'halko': + self.solver: EigSolver = HalkoEig(which='SM') + elif solver == 'lanczos': + self.solver: EigSolver = LanczosEig(which='SM') + else: + self.solver: EigSolver = solver + self.embedding_ = None self.features_ = None self.eigenvalues_ = None - def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], node_weights=None, - randomized_decomposition: bool = True) -> 'Spectral': + def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': """Fits the model from data in adjacency_matrix Parameters ---------- adjacency : array-like, shape = (n, n) Adjacency matrix of the graph - randomized_decomposition: bool (default=True) - whether to use a randomized (and faster) decomposition method or the standard scipy one. - node_weights : {``'uniform'``, ``'degree'``, array of length n_nodes with positive entries} - Node weights Returns ------- @@ -99,15 +106,15 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], node_weights=None adjacency = check_format(adjacency) n_nodes, m_nodes = adjacency.shape - if self.low_rank_regularization is None and not is_connected(adjacency): + if self.regularization is None and not is_connected(adjacency): if self.energy_scaling: raise ValueError('energy_scaling without low-rank regularization' 'is not compatible with a disconnected graph') else: raise Warning("The graph is not connected and low-rank regularization is not active." "This can cause errors in the computation of the embedding.") - if self.low_rank_regularization: - adjacency = SparseLR(adjacency, [(self.low_rank_regularization * np.ones(n_nodes), np.ones(m_nodes))]) + if self.regularization: + adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n_nodes), np.ones(m_nodes))]) if m_nodes != n_nodes or self.force_biadjacency: adjacency = bipartite2undirected(adjacency) @@ -117,28 +124,24 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], node_weights=None laplacian = -(adjacency - degree_matrix) # applies normalization by node weights - if node_weights is None: - node_weights = self.node_weights - weights = check_weights(node_weights, adjacency, positive_entries=False) - + weights = check_weights(self.node_weights, adjacency, positive_entries=False) weight_matrix = sparse.diags(np.sqrt(weights), format='csr') weight_matrix.data = 1 / weight_matrix.data + laplacian = safe_sparse_dot(weight_matrix, safe_sparse_dot(laplacian, weight_matrix)) # spectral decomposition n_components = min(self.embedding_dimension + 1, min(n_nodes, m_nodes)) - if randomized_decomposition: - eigenvalues, eigenvectors = randomized_eig(laplacian, n_components, which='SM') - else: - eigenvalues, eigenvectors = eigsh(laplacian, n_components, which='SM') + self.solver.fit(laplacian, n_components) - self.eigenvalues_ = eigenvalues[1:] - self.embedding_ = np.array(weight_matrix.dot(eigenvectors[:, 1:])) + self.eigenvalues_ = self.solver.eigenvalues_[1:] + self.embedding_ = np.array(weight_matrix.dot(self.solver.eigenvectors_[:, 1:])) - if self.energy_scaling and node_weights == 'degree': + if self.energy_scaling and self.node_weights == 'degree': self.embedding_ /= np.sqrt(self.eigenvalues_) if self.embedding_.shape[0] > n_nodes: self.features_ = self.embedding_[n_nodes:] self.embedding_ = self.embedding_[:n_nodes] + return self diff --git a/sknetwork/embedding/tests/test_embeddings.py b/sknetwork/embedding/tests/test_embeddings.py index 74a7f5248..ff1338233 100644 --- a/sknetwork/embedding/tests/test_embeddings.py +++ b/sknetwork/embedding/tests/test_embeddings.py @@ -9,7 +9,7 @@ import numpy as np -class TestClusteringMetrics(unittest.TestCase): +class TestEmbeddings(unittest.TestCase): def setUp(self): self.graph = sparse.csr_matrix(np.array([[0, 1, 1, 1], diff --git a/sknetwork/linalg/__init__.py b/sknetwork/linalg/__init__.py new file mode 100644 index 000000000..650f7c722 --- /dev/null +++ b/sknetwork/linalg/__init__.py @@ -0,0 +1,4 @@ +"""init file for linalg submodule""" +from sknetwork.linalg.sparse_lowrank import SparseLR +from sknetwork.linalg.eig import EigSolver, LanczosEig, HalkoEig +from sknetwork.linalg.randomized_matrix_factorization import safe_sparse_dot, randomized_eig, randomized_svd diff --git a/sknetwork/linalg/eig.py b/sknetwork/linalg/eig.py new file mode 100644 index 000000000..0cfa87c0f --- /dev/null +++ b/sknetwork/linalg/eig.py @@ -0,0 +1,166 @@ +#!/usr/bin/env python3 +# coding: utf-8 +""" +Created on July 9 2019 + +Authors: +Nathan De Lara +""" +import numpy as np +from scipy import sparse +from scipy.sparse.linalg import eigsh +from sknetwork.utils.algorithm_base_class import Algorithm +from sknetwork.linalg import SparseLR +from sknetwork.linalg.randomized_matrix_factorization import randomized_eig +from typing import Union + + +class EigSolver(Algorithm): + """ + A generic class for eigensolvers. + + Parameters + ---------- + which: str + Which eigenvectors and eigenvalues to find: + * ‘LM’ : Largest (in magnitude) eigenvalues. + * ‘SM’ : Smallest (in magnitude) eigenvalues. + + Attributes + ---------- + eigenvectors_: np.ndarray + Two-dimensional array, each column is an eigenvector of the input. + eigenvalues_: np.ndarray + Eigenvalues associated to each eigenvector. + """ + + def __init__(self, which='LM'): + self.which = which + + self.eigenvectors_ = None + self.eigenvalues_ = None + + def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator, SparseLR], n_components: int): + """Perform eigenvalue decomposition on input matrix. + + Parameters + ---------- + matrix: + Matrix to decompose. + n_components + Number of eigenvectors to compute + + Returns + ------- + self: :class:`EigSolver` + + """ + return self + + +class LanczosEig(EigSolver): + """ + An eigenvalue solver using Lanczos method. + + Parameters + ---------- + which: str + Which eigenvectors and eigenvalues to find: + * ‘LM’ : Largest (in magnitude) eigenvalues. + * ‘SM’ : Smallest (in magnitude) eigenvalues. + + Attributes + ---------- + eigenvectors_: np.ndarray + Two-dimensional array, each column is an eigenvector of the input. + eigenvalues_: np.ndarray + Eigenvalues associated to each eigenvector. + + See Also + -------- + scipy.sparse.linalg.eigsh + + """ + + def __init__(self, which): + EigSolver.__init__(self, which=which) + + def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator], n_components: int): + """Perform eigenvalue decomposition on input matrix. + + Parameters + ---------- + matrix: + Matrix to decompose. + n_components + Number of eigenvectors to compute + + Returns + ------- + self: :class:`EigSolver` + + """ + eigenvalues, eigenvectors = eigsh(matrix.astype(np.float), n_components, which=self.which) + self.eigenvectors_ = eigenvectors + self.eigenvalues_ = eigenvalues + + return self + + +class HalkoEig(EigSolver): + """ + An eigenvalue solver using Halko's randomized method. + + Parameters + ---------- + which: str + Which eigenvectors and eigenvalues to find: + * ‘LM’ : Largest (in magnitude) eigenvalues. + * ‘SM’ : Smallest (in magnitude) eigenvalues. + n_oversamples : int (default=10) + Additional number of random vectors to sample the range of ``matrix`` so as + to ensure proper conditioning. The total number of random vectors + used to find the range of ``matrix`` is ``n_components + n_oversamples``. Smaller number can improve speed + but can negatively impact the quality of approximation of singular vectors and singular values. + n_iter: int or 'auto' (default is 'auto') + See :meth:`randomized_range_finder` + power_iteration_normalizer: ``'auto'`` (default), ``'QR'``, ``'LU'``, ``None`` + See :meth:`randomized_range_finder` + random_state: int, RandomState instance or None, optional (default=None) + See :meth:`randomized_range_finder` + one_pass: bool (default=False) + whether to use algorithm 5.6 instead of 5.3. 5.6 requires less access to the original matrix, + while 5.3 is more accurate. + + """ + + def __init__(self, which='LM', n_oversamples: int = 10, n_iter='auto', + power_iteration_normalizer: Union[str, None] = 'auto', random_state=None, one_pass: bool = False): + EigSolver.__init__(self, which=which) + self.n_oversamples = n_oversamples + self.n_iter = n_iter + self.power_iteration_normalizer = power_iteration_normalizer + self.random_state = random_state + self.one_pass = one_pass + + def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator, SparseLR], n_components: int): + """Perform eigenvalue decomposition on input matrix. + + Parameters + ---------- + matrix: + Matrix to decompose. + n_components + Number of eigenvectors to compute + + Returns + ------- + self: :class:`EigSolver` + + """ + eigenvalues, eigenvectors = randomized_eig(matrix, n_components, self.which, self.n_oversamples, self.n_iter, + self.power_iteration_normalizer, self.random_state, self.one_pass) + self.eigenvectors_ = eigenvectors + self.eigenvalues_ = eigenvalues + + return self diff --git a/sknetwork/utils/randomized_matrix_factorization.py b/sknetwork/linalg/randomized_matrix_factorization.py similarity index 99% rename from sknetwork/utils/randomized_matrix_factorization.py rename to sknetwork/linalg/randomized_matrix_factorization.py index fa42405ef..b742a92e3 100644 --- a/sknetwork/utils/randomized_matrix_factorization.py +++ b/sknetwork/linalg/randomized_matrix_factorization.py @@ -8,7 +8,7 @@ import numpy as np from scipy import sparse, linalg -from sknetwork.utils.sparse_lowrank import SparseLR +from sknetwork.linalg.sparse_lowrank import SparseLR from sknetwork.utils.checks import check_random_state from typing import Union diff --git a/sknetwork/utils/sparse_lowrank.py b/sknetwork/linalg/sparse_lowrank.py similarity index 95% rename from sknetwork/utils/sparse_lowrank.py rename to sknetwork/linalg/sparse_lowrank.py index 5c671b74f..d7734079e 100644 --- a/sknetwork/utils/sparse_lowrank.py +++ b/sknetwork/linalg/sparse_lowrank.py @@ -110,7 +110,7 @@ def right_sparse_dot(self, matrix): """ return SparseLR(self.sparse_mat.dot(matrix), [(x, matrix.T.dot(y)) for (x, y) in self.low_rank_tuples]) - def astype(self, dtype): + def astype(self, dtype: Union[str, np.dtype]): """Change dtype of the object. Parameters @@ -124,6 +124,9 @@ def astype(self, dtype): """ self.sparse_mat = self.sparse_mat.astype(dtype) self.low_rank_tuples = [(x.astype(dtype), y.astype(dtype)) for (x, y) in self.low_rank_tuples] - self.dtype = dtype + if type(dtype) == np.dtype: + self.dtype = dtype + else: + self.dtype = np.dtype(dtype) return self diff --git a/sknetwork/linalg/tests/__init__.py b/sknetwork/linalg/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/sknetwork/utils/tests/test_randomized_matrix_factorization.py b/sknetwork/linalg/tests/test_randomized_matrix_factorization.py similarity index 92% rename from sknetwork/utils/tests/test_randomized_matrix_factorization.py rename to sknetwork/linalg/tests/test_randomized_matrix_factorization.py index 596505718..239ce75c5 100644 --- a/sknetwork/utils/tests/test_randomized_matrix_factorization.py +++ b/sknetwork/linalg/tests/test_randomized_matrix_factorization.py @@ -5,7 +5,7 @@ import unittest import numpy as np from scipy import sparse -from sknetwork.utils.randomized_matrix_factorization import randomized_eig, randomized_svd +from sknetwork.linalg.randomized_matrix_factorization import randomized_eig, randomized_svd class TestClusteringMetrics(unittest.TestCase): diff --git a/sknetwork/linalg/tests/test_solvers.py b/sknetwork/linalg/tests/test_solvers.py new file mode 100644 index 000000000..ba02cbf5e --- /dev/null +++ b/sknetwork/linalg/tests/test_solvers.py @@ -0,0 +1,40 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +"""tests for randomized matrix factorization""" + +import unittest +import numpy as np +from sknetwork.linalg import LanczosEig, HalkoEig, SparseLR +from sknetwork.toy_graphs import house_graph + + +class TestSolvers(unittest.TestCase): + + def setUp(self): + self.adjacency = house_graph() + n, m = self.adjacency.shape + self.slr = SparseLR(self.adjacency, [(np.ones(n), np.ones(m))]) + + def test_lanczos(self): + solver = LanczosEig('LM') + solver.fit(self.adjacency, 2) + self.assertEqual(len(solver.eigenvalues_), 2) + + solver.fit(self.slr, 2) + self.assertEqual(len(solver.eigenvalues_), 2) + + solver = LanczosEig('SM') + solver.fit(self.adjacency, 2) + self.assertEqual(len(solver.eigenvalues_), 2) + + def test_halko(self): + solver = HalkoEig('LM') + solver.fit(self.adjacency, 2) + self.assertEqual(len(solver.eigenvalues_), 2) + + solver.fit(self.slr, 2) + self.assertEqual(len(solver.eigenvalues_), 2) + + solver = HalkoEig('SM') + solver.fit(self.adjacency, 2) + self.assertEqual(len(solver.eigenvalues_), 2) diff --git a/sknetwork/utils/tests/test_sparse_lowrank.py b/sknetwork/linalg/tests/test_sparse_lowrank.py similarity index 93% rename from sknetwork/utils/tests/test_sparse_lowrank.py rename to sknetwork/linalg/tests/test_sparse_lowrank.py index 4d86d65a0..e2b117c21 100644 --- a/sknetwork/utils/tests/test_sparse_lowrank.py +++ b/sknetwork/linalg/tests/test_sparse_lowrank.py @@ -6,8 +6,8 @@ import numpy as np from scipy import sparse from sknetwork.toy_graphs import house_graph, star_wars_villains_graph -from sknetwork.utils.sparse_lowrank import SparseLR -from sknetwork.utils import randomized_svd, randomized_eig +from sknetwork.linalg.sparse_lowrank import SparseLR +from sknetwork.linalg.randomized_matrix_factorization import randomized_svd, randomized_eig class TestSparseLowRank(unittest.TestCase): diff --git a/sknetwork/utils/__init__.py b/sknetwork/utils/__init__.py index c0c26e7db..b04d3a79b 100644 --- a/sknetwork/utils/__init__.py +++ b/sknetwork/utils/__init__.py @@ -1,3 +1 @@ from sknetwork.utils.projection_simplex import projection_simplex -from sknetwork.utils.randomized_matrix_factorization import randomized_eig, randomized_svd, safe_sparse_dot -from sknetwork.utils.sparse_lowrank import SparseLR diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index 12e5a63d3..cfc7bd89b 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -7,7 +7,7 @@ import numpy as np from scipy import sparse -from sknetwork.utils.sparse_lowrank import SparseLR +from sknetwork.linalg.sparse_lowrank import SparseLR from typing import Union diff --git a/sknetwork/utils/tests/test_formats.py b/sknetwork/utils/tests/test_formats.py index 1d3cef938..3b3de8076 100644 --- a/sknetwork/utils/tests/test_formats.py +++ b/sknetwork/utils/tests/test_formats.py @@ -23,13 +23,28 @@ def test_dir2undir(self): error = 0.5 * directed2undirected(self.house) - self.house self.assertEqual(error.nnz, 0) + n, m = self.adjacency.shape + slr = SparseLR(self.adjacency, [(np.ones(n), np.ones(m))]) + undirected_graph = directed2undirected(slr) + self.assertTrue(type(undirected_graph) == SparseLR) + def test_bip2dir(self): n_nodes = self.biadjacency.shape[0] + self.biadjacency.shape[1] directed_graph = bipartite2directed(self.biadjacency) self.assertEqual(directed_graph.shape, (n_nodes, n_nodes)) + n, m = self.biadjacency.shape + slr = SparseLR(self.biadjacency, [(np.ones(n), np.ones(m))]) + directed_graph = bipartite2directed(slr) + self.assertTrue(type(directed_graph) == SparseLR) + def test_bip2undir(self): n_nodes = self.biadjacency.shape[0] + self.biadjacency.shape[1] undirected_graph = bipartite2undirected(self.biadjacency) self.assertEqual(undirected_graph.shape, (n_nodes, n_nodes)) self.assertTrue(is_symmetric(undirected_graph)) + + n, m = self.biadjacency.shape + slr = SparseLR(self.biadjacency, [(np.ones(n), np.ones(m))]) + undirected_graph = bipartite2undirected(slr) + self.assertTrue(type(undirected_graph) == SparseLR) From f123f41d4bda42fc28cfb3ea1d6869e5125e2e56 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Tue, 9 Jul 2019 18:34:22 +0200 Subject: [PATCH 12/92] For imports --- sknetwork/embedding/gsvd.py | 64 +++++++++++------------------------ sknetwork/ranking/pagerank.py | 2 +- 2 files changed, 21 insertions(+), 45 deletions(-) diff --git a/sknetwork/embedding/gsvd.py b/sknetwork/embedding/gsvd.py index d1263e541..80e686cb9 100755 --- a/sknetwork/embedding/gsvd.py +++ b/sknetwork/embedding/gsvd.py @@ -7,10 +7,10 @@ import numpy as np from scipy import sparse, linalg -from sknetwork.utils import SparseLR +from sknetwork.linalg import SparseLR from sknetwork.utils.algorithm_base_class import Algorithm -from sknetwork.utils.checks import check_format, check_weights, check_random_state -from sknetwork.utils.randomized_matrix_factorization import randomized_svd, safe_sparse_dot +from sknetwork.utils.checks import check_format, check_weights +from linalg.randomized_matrix_factorization import randomized_svd, safe_sparse_dot from typing import Union @@ -25,13 +25,11 @@ class GSVD(Algorithm): The dimension of the projected subspace. weights: ``'degree'`` or ``'uniform'`` Default weighting for the rows. - feature_weights: ``'degree'`` or ``'uniform'`` - Default weighting for the columns. - low_rank_regularization: ``None`` or float (default=0.01) + regularization: ``None`` or float (default=0.01) Implicitly add edges of given weight between all pairs of nodes. energy_scaling: bool (default=True) If ``True``, rescales each column of the embedding by dividing it by :math:`\\sqrt{1-\\sigma_i^2}`. - Only valid if ``weights == 'degree'`` and ``feature_weights == 'degree'``. + Only valid if ``weights == 'degree'``. Attributes ---------- @@ -48,8 +46,8 @@ class GSVD(Algorithm): >>> graph = movie_actor_graph() >>> gsvd = GSVD(embedding_dimension=2) >>> gsvd.fit(graph) - GSVD(embedding_dimension=2, weights='degree', feature_weights='degree', low_rank_regularization=0.01,\ - energy_scaling=True) + GSVD(embedding_dimension=2, weights='degree', regularization=0.01, energy_scaling=True,\ + randomized_decomposition=True) >>> gsvd.embedding_.shape (15, 2) @@ -60,20 +58,19 @@ class GSVD(Algorithm): https://www.cs.cornell.edu/cv/ResearchPDF/Generalizing%20The%20Singular%20Value%20Decomposition.pdf """ - def __init__(self, embedding_dimension=2, weights='degree', feature_weights='degree', - low_rank_regularization: Union[None, float] = 0.01, energy_scaling: bool = True): + def __init__(self, embedding_dimension=2, weights='degree', regularization: Union[None, float] = 0.01, + energy_scaling: bool = True, randomized_decomposition: bool = True): self.embedding_dimension = embedding_dimension self.weights = weights - self.feature_weights = feature_weights - self.low_rank_regularization = low_rank_regularization + self.regularization = regularization self.energy_scaling = energy_scaling + self.randomized_decomposition = randomized_decomposition + self.embedding_ = None self.features_ = None self.singular_values_ = None - def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], weights=None, feature_weights=None, - randomized_decomposition: bool = True, n_iter='auto', power_iteration_normalizer: Union[str, None] = 'auto', - random_state=None) -> 'GSVD': + def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'GSVD': """Fits the model from data in adjacency_matrix. Parameters @@ -81,37 +78,19 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], weights=None, fea adjacency: array-like, shape = (n, m) Adjacency matrix, where n = m is the number of nodes for a standard directed or undirected graph, n is the cardinal of V1 and m is the cardinal of V2 for a bipartite graph. - weights: ``None``, ``'degree'``, ``'uniform'`` or customized numpy array - If None, it will use the default value. - feature_weights: ``None``, ``'degree'``, ``'uniform'`` or customized numpy array - If None, it will use the default value. - randomized_decomposition: - whether to use a randomized (and faster) svd method or the standard scipy one. - n_iter: int or ``'auto'`` (default is ``'auto'``) - See :meth:`sknetwork.embedding.randomized_range_finder` - power_iteration_normalizer: ``'auto'`` (default), ``'QR'``, ``'LU'``, ``None`` - See :meth:`sknetwork.embedding.randomized_range_finder` - random_state: int, RandomState instance or ``None``, optional (default= ``None``) - See :meth:`sknetwork.embedding.randomized_range_finder` Returns ------- self: :class:`GSVD` """ - random_state = check_random_state(random_state) adjacency = check_format(adjacency) n_nodes, m_nodes = adjacency.shape - if self.low_rank_regularization: - adjacency = SparseLR(adjacency, [(self.low_rank_regularization * np.ones(n_nodes), np.ones(m_nodes))]) + if self.regularization: + adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n_nodes), np.ones(m_nodes))]) total_weight = adjacency.dot(np.ones(m_nodes)).sum() - if weights is None: - weights = self.weights - w_samp = check_weights(weights, adjacency) - - if feature_weights is None: - feature_weights = self.feature_weights - w_feat = check_weights(feature_weights, adjacency.T) + w_samp = check_weights(self.weights, adjacency) + w_feat = check_weights(self.weights, adjacency.T) # pseudo inverse square-root out-degree matrix diag_samp = sparse.diags(np.sqrt(w_samp), shape=(n_nodes, n_nodes), format='csr') @@ -122,11 +101,8 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], weights=None, fea normalized_adj = safe_sparse_dot(diag_samp, safe_sparse_dot(adjacency, diag_feat)) - if randomized_decomposition: - u, sigma, vt = randomized_svd(normalized_adj, self.embedding_dimension, - n_iter=n_iter, - power_iteration_normalizer=power_iteration_normalizer, - random_state=random_state) + if self.randomized_decomposition: + u, sigma, vt = randomized_svd(normalized_adj, self.embedding_dimension) else: u, sigma, vt = linalg.svds(normalized_adj, self.embedding_dimension) @@ -134,7 +110,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], weights=None, fea self.embedding_ = np.sqrt(total_weight) * diag_samp.dot(u) * sigma self.features_ = np.sqrt(total_weight) * diag_feat.dot(vt.T) - if self.energy_scaling and weights == 'degree' and feature_weights == 'degree': + if self.energy_scaling and self.weights == 'degree': energy_levels: np.ndarray = np.sqrt(1 - np.clip(sigma, 0, 1) ** 2) energy_levels[energy_levels > 0] = 1 / energy_levels[energy_levels > 0] self.embedding_ *= energy_levels diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index f2f9cfa9e..43d65bf7a 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -9,7 +9,7 @@ import numpy as np from sknetwork import njit, prange from sknetwork.utils.checks import check_format, is_proba_array, is_square -from sknetwork.utils.randomized_matrix_factorization import SparseLR, randomized_eig +from linalg.randomized_matrix_factorization import SparseLR, randomized_eig from sknetwork.utils.algorithm_base_class import Algorithm from scipy import sparse from typing import Union From 4a352c0165e71fa5c9f73a535497fc55ada14255 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Tue, 9 Jul 2019 18:37:28 +0200 Subject: [PATCH 13/92] Fix imports --- sknetwork/embedding/gsvd.py | 2 +- sknetwork/embedding/spectral.py | 2 +- sknetwork/ranking/pagerank.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/sknetwork/embedding/gsvd.py b/sknetwork/embedding/gsvd.py index 80e686cb9..f907249f3 100755 --- a/sknetwork/embedding/gsvd.py +++ b/sknetwork/embedding/gsvd.py @@ -10,7 +10,7 @@ from sknetwork.linalg import SparseLR from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork.utils.checks import check_format, check_weights -from linalg.randomized_matrix_factorization import randomized_svd, safe_sparse_dot +from sknetwork.linalg.randomized_matrix_factorization import randomized_svd, safe_sparse_dot from typing import Union diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 68928927e..02fd03883 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -143,5 +143,5 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': if self.embedding_.shape[0] > n_nodes: self.features_ = self.embedding_[n_nodes:] self.embedding_ = self.embedding_[:n_nodes] - + return self diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 43d65bf7a..06092ea76 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -9,7 +9,7 @@ import numpy as np from sknetwork import njit, prange from sknetwork.utils.checks import check_format, is_proba_array, is_square -from linalg.randomized_matrix_factorization import SparseLR, randomized_eig +from sknetwork.linalg.randomized_matrix_factorization import SparseLR, randomized_eig from sknetwork.utils.algorithm_base_class import Algorithm from scipy import sparse from typing import Union From ce04bdec5f68684f4a511544538e2fffa0233337 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 10 Jul 2019 09:54:50 +0200 Subject: [PATCH 14/92] Added parallelization option for PageRank --- sknetwork/hierarchy/paris.py | 4 ++-- sknetwork/ranking/pagerank.py | 8 +++++--- sknetwork/ranking/tests/test_pagerank.py | 5 +++++ 3 files changed, 12 insertions(+), 5 deletions(-) diff --git a/sknetwork/hierarchy/paris.py b/sknetwork/hierarchy/paris.py index aaf4dec8d..459a53418 100644 --- a/sknetwork/hierarchy/paris.py +++ b/sknetwork/hierarchy/paris.py @@ -293,9 +293,9 @@ class Paris(Algorithm): -------- >>> from sknetwork.toy_graphs import house_graph >>> adjacency = house_graph() - >>> paris = Paris() + >>> paris = Paris('python') >>> paris.fit(adjacency) - Paris(engine='numba') + Paris(engine='python') >>> paris.dendrogram_ array([[3. , 2. , 0.33333333, 2. ], [1. , 0. , 0.5 , 2. ], diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index eb453b0c5..b28055b98 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -15,7 +15,6 @@ from typing import Union -@njit(parallel=True) def diffusion(indptr, indices, data, flow_history, current_flow, damping_factor): """Diffusion for D-iteration. @@ -59,6 +58,8 @@ class PageRank(Algorithm): Specifies the used method. Must be 'diter' or 'spectral' n_iter: int Number of iterations if method is 'diter' + parallel: bool + Enable parallelization (Numba is required) Attributes ---------- @@ -83,7 +84,7 @@ class PageRank(Algorithm): * Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web. Stanford InfoLab. """ - def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: int = 25): + def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: int = 25, parallel: bool = False): self.ranking_ = None if damping_factor < 0. or damping_factor > 1.: raise ValueError('Damping factor must be between 0 and 1.') @@ -101,6 +102,7 @@ def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: raise ValueError("Number of iterations must be positive.'") else: self.n_iter = n_iter + self.diffusion = njit(diffusion, parallel=parallel) def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], personalization: Union[None, np.ndarray] = None) -> 'PageRank': @@ -142,7 +144,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], flow_history = -current_flow / 2 for i in range(self.n_iter): - diffusion(transition_matrix.indptr, transition_matrix.indices, transition_matrix.data, + self.diffusion(transition_matrix.indptr, transition_matrix.indices, transition_matrix.data, flow_history, current_flow, self.damping_factor) self.ranking_ = abs(flow_history) / np.sum(abs(flow_history)) diff --git a/sknetwork/ranking/tests/test_pagerank.py b/sknetwork/ranking/tests/test_pagerank.py index 52c3b676f..b57572df5 100644 --- a/sknetwork/ranking/tests/test_pagerank.py +++ b/sknetwork/ranking/tests/test_pagerank.py @@ -17,6 +17,7 @@ def setUp(self): self.no_damping_spectral_ranking = PageRank(damping_factor=0., method='spectral') self.diter_ranking = PageRank() self.no_damping_diter_ranking = PageRank(damping_factor=0.) + self.parallel_ranking = PageRank(parallel=True) def test_pagerank(self): ranking = self.spectral_ranking.fit(self.adjacency).ranking_ @@ -31,3 +32,7 @@ def test_pagerank(self): self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0., places=2) ranking = self.diter_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])).ranking_ self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0., places=1) + + def test_parallelize(self): + ranking = self.parallel_ranking.fit(self.adjacency).ranking_ + self.assertIsNotNone(ranking) From 2ef90e5de662b1ec550ed8359ac1e897803f54d2 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 10 Jul 2019 09:56:54 +0200 Subject: [PATCH 15/92] Cosmetic change --- sknetwork/ranking/pagerank.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index b28055b98..2d1bbc23b 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -145,7 +145,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], for i in range(self.n_iter): self.diffusion(transition_matrix.indptr, transition_matrix.indices, transition_matrix.data, - flow_history, current_flow, self.damping_factor) + flow_history, current_flow, self.damping_factor) self.ranking_ = abs(flow_history) / np.sum(abs(flow_history)) From 1cb11e48c478ecca011edaf1922f63cf4bf6f127 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 10:00:10 +0200 Subject: [PATCH 16/92] Graph description --- docs/reference/introduction.rst | 41 +++++++++++++++++++-------------- 1 file changed, 24 insertions(+), 17 deletions(-) diff --git a/docs/reference/introduction.rst b/docs/reference/introduction.rst index 873f860b9..15230cb8e 100644 --- a/docs/reference/introduction.rst +++ b/docs/reference/introduction.rst @@ -31,32 +31,39 @@ We use the following notations in the documentation: Undirected graphs ^^^^^^^^^^^^^^^^^ -* :math:`A` is the adjacency matrix of the graph. +* :math:`A` is the adjacency matrix of the graph (dimension :math:`n\times n`) * :math:`d = A1` is the vector of node weights (node degrees if the matrix :math:`A` is binary) -* :math:`D = \text{diag}(d)` the diagonal matrix of node weights. -* :math:`L = D - A` is the Laplacian matrix of the graph. -* :math:`P = D^{-1}A` is the transition matrix of the random walk in the graph (for positive node weights). -* :math:`w = 1^T A1` is the total weight of the graph. +* :math:`D = \text{diag}(d)` the diagonal matrix of node weights +* :math:`L = D - A` is the Laplacian matrix of the graph +* :math:`P = D^{-1}A` is the transition matrix of the random walk in the graph (for positive node weights) +* :math:`w = 1^T A1` is the total weight of the graph (total weight of nodes) Directed graphs ^^^^^^^^^^^^^^^ -* :math:`A` is the adjacency matrix of the graph. +* :math:`A` is the adjacency matrix of the graph (dimension :math:`n\times n`) * :math:`d^+ = A1` is the vector of node out-weights (node out-degrees if the matrix :math:`A` is binary) -* :math:`D^+ = \text{diag}(d^+)` is the diagonal matrix of node out-weights. -* :math:`P^+= {D^+}^{-1}A` is the transition matrix of the random walk in the graph (for positive node out-weights). +* :math:`D^+ = \text{diag}(d^+)` is the diagonal matrix of node out-weights +* :math:`P^+= {D^+}^{-1}A` is the transition matrix of the random walk in the graph (for positive node out-weights) * :math:`d^- = A1` is the vector of node in-weights (node in-degrees if the matrix :math:`A` is binary) -* :math:`D^- = \text{diag}(d^-)` is the diagonal matrix of node in-weights. -* :math:`P^-= {D^-}^{-1}A` is the transition matrix of the random walk in reverse direction (for positive node in-weights). -* :math:`w = 1^T A1` is the total weight of the graph. +* :math:`D^- = \text{diag}(d^-)` is the diagonal matrix of node in-weights +* :math:`P^-= {D^-}^{-1}A` is the transition matrix of the random walk in reverse direction (for positive node in-weights) +* :math:`w = 1^T A1` is the total weight of the graph (total weight of nodes) Bipartite graphs ^^^^^^^^^^^^^^^^ -* :math:`B` denotes the biadjacency matrix of the graph, rows and columns corresponding to samples and features. -* :math:`d = B1` is the vector of sample weights. -* :math:`D = \text{diag}(d)` is the diagonal matrix of sample weights. -* :math:`f = B^T1` is the vector of feature weights. -* :math:`F = \text{diag}(f)` the diagonal matrix of feature weights. -* :math:`w = 1^T B1` is the total weight of the graph. +* :math:`B` denotes the biadjacency matrix of the graph (dimension :math:`n\times p`); rows and columns are viewed as items and features +* :math:`d = B1` is the vector of item weights +* :math:`D = \text{diag}(d)` is the diagonal matrix of item weights +* :math:`f = B^T1` is the vector of feature weights +* :math:`F = \text{diag}(f)` the diagonal matrix of feature weights +* :math:`w = 1^T B1` is the total weight of the graph (total weight of edges) + +Notes +^^^^^ + +* Adjacency and biadjacency matrices have non-negative entries (the edges of the graph) +* Nodes are indexed from 1 to :math:`n` in the documentation and from 0 to :math:`n-1` in the code +* Bipartite graphs are undirected but have a special structure that is exploited by some algorithms From 2c8c7983dbd67d6d947ba7abfa2d63a4ad8dd97a Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 10:02:01 +0200 Subject: [PATCH 17/92] Title of the doc --- docs/reference/linalg.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/reference/linalg.rst b/docs/reference/linalg.rst index cdf1d8884..40329a49a 100644 --- a/docs/reference/linalg.rst +++ b/docs/reference/linalg.rst @@ -1,7 +1,7 @@ .. _linalg: -Linalg -****** +Linear algebra +************** .. currentmodule:: sknetwork From f01267de81a5fe6c334e4d9aa7a5106bbbbed3ae Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Wed, 10 Jul 2019 10:45:30 +0200 Subject: [PATCH 18/92] Linalg auto-mode for the solver --- sknetwork/embedding/spectral.py | 20 ++++++++++++++------ sknetwork/linalg/__init__.py | 2 ++ sknetwork/linalg/auto_mode.py | 29 +++++++++++++++++++++++++++++ 3 files changed, 45 insertions(+), 6 deletions(-) create mode 100644 sknetwork/linalg/auto_mode.py diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 02fd03883..94830cc46 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -10,7 +10,7 @@ import numpy as np from scipy import sparse -from sknetwork.linalg import safe_sparse_dot, SparseLR, EigSolver, HalkoEig, LanczosEig +from sknetwork.linalg import safe_sparse_dot, SparseLR, EigSolver, HalkoEig, LanczosEig, auto_solver from sknetwork.utils.adjacency_formats import bipartite2undirected from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork.utils.checks import check_format, check_weights @@ -35,8 +35,9 @@ class Spectral(Algorithm): force_biadjacency: bool (default=False) Only relevant for symmetric inputs. Force the algorithm to treat the adjacency as a biadjacency as it would do for asymmetric inputs. - solver: 'halko', 'lanczos' or EigSolver object + solver: 'auto', 'halko', 'lanczos' or EigSolver object Which eigenvalue solver to use + * 'auto' calls the auto_solver function * 'halko': randomized method, fast but less accurate than 'lanczos' for ill-conditioned matrices * 'lanczos': power-iteration based method * custom: the user must provide an EigSolver object. @@ -57,8 +58,7 @@ class Spectral(Algorithm): >>> spectral = Spectral(embedding_dimension=2) >>> spectral.fit(graph) Spectral(embedding_dimension=2, node_weights='degree', regularization=0.01, energy_scaling=True,\ - force_biadjacency=False, solver=HalkoEig(which='SM', n_oversamples=10, n_iter='auto',\ - power_iteration_normalizer='auto', one_pass=False)) + force_biadjacency=False, solver=LanczosEig(which='SM')) >>> spectral.embedding_.shape (34, 2) @@ -71,7 +71,7 @@ class Spectral(Algorithm): def __init__(self, embedding_dimension: int = 2, node_weights='degree', regularization: Union[None, float] = 0.01, energy_scaling: bool = True, - force_biadjacency: bool = False, solver: Union[str, EigSolver] = 'halko'): + force_biadjacency: bool = False, solver: Union[str, EigSolver] = 'auto'): self.embedding_dimension = embedding_dimension self.node_weights = node_weights if regularization == 0: @@ -85,7 +85,7 @@ def __init__(self, embedding_dimension: int = 2, node_weights='degree', elif solver == 'lanczos': self.solver: EigSolver = LanczosEig(which='SM') else: - self.solver: EigSolver = solver + self.solver = solver self.embedding_ = None self.features_ = None @@ -106,6 +106,14 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': adjacency = check_format(adjacency) n_nodes, m_nodes = adjacency.shape + + if self.solver == 'auto': + solver = auto_solver(adjacency.shape) + if solver == 'lanczos': + self.solver: EigSolver = LanczosEig(which='SM') + else: + self.solver: EigSolver = HalkoEig(which='SM') + if self.regularization is None and not is_connected(adjacency): if self.energy_scaling: raise ValueError('energy_scaling without low-rank regularization' diff --git a/sknetwork/linalg/__init__.py b/sknetwork/linalg/__init__.py index 650f7c722..68951204b 100644 --- a/sknetwork/linalg/__init__.py +++ b/sknetwork/linalg/__init__.py @@ -1,4 +1,6 @@ """init file for linalg submodule""" from sknetwork.linalg.sparse_lowrank import SparseLR +from sknetwork.linalg.auto_mode import auto_solver from sknetwork.linalg.eig import EigSolver, LanczosEig, HalkoEig from sknetwork.linalg.randomized_matrix_factorization import safe_sparse_dot, randomized_eig, randomized_svd + diff --git a/sknetwork/linalg/auto_mode.py b/sknetwork/linalg/auto_mode.py new file mode 100644 index 000000000..faa33f39c --- /dev/null +++ b/sknetwork/linalg/auto_mode.py @@ -0,0 +1,29 @@ +#!/usr/bin/env python3 +# coding: utf-8 +""" +Created on July 10 2019 + +Authors: +Nathan De Lara +""" + + +def auto_solver(shape: tuple) -> str: + """Recommend a solver for SVD or Eigenvalue decomposition depending of the size of the input matrix. + Halko's randomized method is returned for big matrices and Lanczos for small ones. + + Parameters + ---------- + shape: tuple + Shape of the matrix to decompose. + + Returns + ------- + solver name: str + 'halko' or ' lanczos' + + """ + if min(shape[0], shape[1]) > 10 ** 3: + return 'halko' + else: + return 'lanczos' From fd96bb11c97050981a6fcf59939cd725c0d5c1ee Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 10:53:47 +0200 Subject: [PATCH 19/92] Auto-mode --- sknetwork/embedding/spectral.py | 2 +- sknetwork/linalg/auto_mode.py | 10 ++++++---- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 94830cc46..7477c4080 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -108,7 +108,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': n_nodes, m_nodes = adjacency.shape if self.solver == 'auto': - solver = auto_solver(adjacency.shape) + solver = auto_solver(adjacency.nnz) if solver == 'lanczos': self.solver: EigSolver = LanczosEig(which='SM') else: diff --git a/sknetwork/linalg/auto_mode.py b/sknetwork/linalg/auto_mode.py index faa33f39c..45fbbb649 100644 --- a/sknetwork/linalg/auto_mode.py +++ b/sknetwork/linalg/auto_mode.py @@ -8,14 +8,16 @@ """ -def auto_solver(shape: tuple) -> str: +def auto_solver(nnz: int, threshold: int = 1e4) -> str: """Recommend a solver for SVD or Eigenvalue decomposition depending of the size of the input matrix. Halko's randomized method is returned for big matrices and Lanczos for small ones. Parameters ---------- - shape: tuple - Shape of the matrix to decompose. + nnz: int + Number of non-zero entries of the matrix to decompose. + threshold: int + Threshold beyond which randomized methods are applied. Returns ------- @@ -23,7 +25,7 @@ def auto_solver(shape: tuple) -> str: 'halko' or ' lanczos' """ - if min(shape[0], shape[1]) > 10 ** 3: + if nnz > threshold: return 'halko' else: return 'lanczos' From 176241f54dd9c27f9d2c77d4db38b962a16394b5 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 11:05:40 +0200 Subject: [PATCH 20/92] Readme Reference to tutorials --- README.rst | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.rst b/README.rst index f6af36398..6267a4a70 100644 --- a/README.rst +++ b/README.rst @@ -43,3 +43,6 @@ To use scikit-network in a project:: import sknetwork as skn +See examples in the Tutorials_ section. + +.. _Tutorials: https://scikit-network.readthedocs.io/en/latest/tutorials/ From 0ecbc6aed9b3cc3fc801fb13b64104c557a677bb Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 11:40:47 +0200 Subject: [PATCH 21/92] Reindex clusters --- docs/tutorials/clustering_Louvain.ipynb | 1702 +++++++++++------------ sknetwork/clustering/louvain.py | 52 +- sknetwork/clustering/postprocessing.py | 30 + 3 files changed, 906 insertions(+), 878 deletions(-) create mode 100644 sknetwork/clustering/postprocessing.py diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index d92f7405a..8678af049 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -32,34 +32,22 @@ ] }, { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings('ignore')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "%matplotlib inline" + "## Undirected graphs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Load graph" + "**Loading**" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:07.938019Z", @@ -74,7 +62,7 @@ "\twith 156 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 4, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -88,12 +76,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Clustering" + "**Clustering**" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:09.211595Z", @@ -108,7 +96,7 @@ "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 5, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -120,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -129,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -138,7 +126,7 @@ "Counter({1: 12, 0: 5, 3: 11, 2: 6})" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -151,7 +139,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Visualization" + "**Visualization**" ] }, { @@ -235,7 +223,7 @@ "version": "3.7.3" }, "toc": { - "base_numbering": 1.0, + "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, @@ -267,7 +255,7 @@ "id": "8af1209b-c2a8-45a1-a592-3c780a5a4027", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -275,7 +263,7 @@ "id": "f06735ba-0929-48be-8571-440a05ef1997", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -283,7 +271,7 @@ "id": "a45f9d5e-6593-4a1f-abbb-c966be29e825", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -291,7 +279,7 @@ "id": "d840b8c7-ef62-4a61-bbfc-91071864bd07", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -299,7 +287,7 @@ "id": "5e7924af-37c1-4217-806a-abd8892b2f0d", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -307,7 +295,7 @@ "id": "9647d9ce-a110-422b-b98a-c399cadc79f7", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -315,7 +303,7 @@ "id": "ec886efd-24b7-4c46-8cf2-8ff89b285a93", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -323,7 +311,7 @@ "id": "7f274155-be57-4024-8888-50c119f32d0e", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -331,7 +319,7 @@ "id": "3a113d42-64dc-4e99-bfd7-ee7929d6899e", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -339,7 +327,7 @@ "id": "eee3d5e6-0752-4c40-b8f8-e937174fc4ef", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -347,7 +335,7 @@ "id": "bd9d2a89-9568-47af-ade9-0cad2d812d05", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -355,7 +343,7 @@ "id": "3fd83b30-add5-477b-b4c4-b748945a951c", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -363,7 +351,7 @@ "id": "622f4cf2-e2bc-4379-ac66-fa7a3ebc561e", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -371,7 +359,7 @@ "id": "66cbc93e-a677-45ed-ae2f-09aadbb32b32", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -379,7 +367,7 @@ "id": "255abc79-81d1-4b1b-a8da-f0f3ad096dab", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -387,7 +375,7 @@ "id": "2417e2ca-a76b-4fcb-a0a7-f14db8b0e28c", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -395,7 +383,7 @@ "id": "e67cf4ed-a8b0-448b-b609-f710dc8fd701", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -403,7 +391,7 @@ "id": "170cad6e-02fb-4fe4-83ae-49faa3ce6e44", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -411,7 +399,7 @@ "id": "f11b6a7d-84d0-46bb-b90d-db9ccbdfc65a", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -419,7 +407,7 @@ "id": "993d6539-e92f-4356-8eff-b332ee302560", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -427,7 +415,7 @@ "id": "62abe227-fd60-47aa-934f-7bda5f0e8351", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -435,7 +423,7 @@ "id": "35172c25-f080-4c0c-abfe-e648c48f9b95", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -443,7 +431,7 @@ "id": "daee017b-b1a8-4bfc-8876-37a7a1bf8e90", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -451,7 +439,7 @@ "id": "45acb4dc-9345-4f48-bbee-8a06db88e00c", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -459,7 +447,7 @@ "id": "a330d16c-ea2b-4834-96ee-abdedb6733bc", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -467,7 +455,7 @@ "id": "e271c862-0043-40c6-9f19-a6d70e210f26", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -475,7 +463,7 @@ "id": "99843c7e-c8bb-4506-9180-39a562971155", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -483,7 +471,7 @@ "id": "c7e0fa18-ea34-4ac5-b2a8-1615f21bfac5", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -491,7 +479,7 @@ "id": "071e309f-5f0b-4e47-809e-b21a26a75685", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -499,7 +487,7 @@ "id": "19b3f084-cf2e-406b-b880-5d7e2f290b23", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -507,7 +495,7 @@ "id": "d375b865-1541-49d2-a35c-e4d03c666159", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -515,7 +503,7 @@ "id": "5f7f2bdf-1f73-4026-a5b9-4350effa8295", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -523,7 +511,7 @@ "id": "69b809e1-4c9d-4cbc-a629-4d933f0444ae", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -531,7 +519,7 @@ "id": "b187ff06-710b-4e16-a0f0-50a3d7c64aab", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -539,7 +527,7 @@ "id": "20d58914-3941-4a25-9c51-484aae5edac2", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -547,7 +535,7 @@ "id": "f98d2f44-4bad-4b00-a2b0-a9b971f04383", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -555,7 +543,7 @@ "id": "54eca3f4-7acd-4aff-83d7-f431cd82397b", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -563,7 +551,7 @@ "id": "9080245a-7f25-4cd5-95c2-04bdc9a09bd3", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -571,7 +559,7 @@ "id": "f5a5eba9-925e-4e89-889d-ac1d0e77c012", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -579,7 +567,7 @@ "id": "da6efa82-50e4-493a-ab22-750884cfe860", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -587,7 +575,7 @@ "id": "830c6407-f546-4ae6-b310-6158bd857b75", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -595,7 +583,7 @@ "id": "aaaf29ff-9024-48c4-9323-85e2088724bb", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -603,7 +591,7 @@ "id": "bf9ece80-439e-4b9b-926c-f16c8ce217c1", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -611,7 +599,7 @@ "id": "337e0e94-918e-4716-b827-34cea12bc9f9", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -619,7 +607,7 @@ "id": "5b1cacda-225d-4c86-b987-f175c1a51287", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -627,7 +615,7 @@ "id": "c018e5c6-6d90-467f-97c4-c0c387bff2fe", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -635,7 +623,7 @@ "id": "d539b814-41a4-4c68-abbe-ce32fb7a0bb5", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -643,7 +631,7 @@ "id": "1610ea43-042f-4fee-9f11-9d7a8fe4fa72", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -651,7 +639,7 @@ "id": "03f4a8aa-1882-4572-9970-4fff282155c4", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -659,7 +647,7 @@ "id": "08ede74d-8398-450d-b527-8b2e51c2c2cc", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -667,7 +655,7 @@ "id": "ef6f89c9-4158-4914-9a05-5c34fd0310bf", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -675,7 +663,7 @@ "id": "514b0524-3967-40af-b924-bd3f0a0fd32a", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -683,7 +671,7 @@ "id": "02f46a12-065c-4f11-a31e-3871e3c6ee6d", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -691,7 +679,7 @@ "id": "2d796471-3428-4558-ba26-b0a0201f36c4", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -699,7 +687,7 @@ "id": "edcd2749-8926-4326-85e4-b9a89547359f", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -707,7 +695,7 @@ "id": "eca2645b-7c3b-4e15-82b0-cf28cdabcfcd", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -715,7 +703,7 @@ "id": "60f8e69e-d66b-4feb-a256-19c577b0741d", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -723,7 +711,7 @@ "id": "97dc3e05-be38-4b36-be0e-f6f19e05b9a8", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -731,7 +719,7 @@ "id": "869f4c98-502a-4e18-8f8b-c0542b4b94df", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -739,7 +727,7 @@ "id": "36a1bfbb-25f9-4b1b-b45f-cc9e0636f61d", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -747,7 +735,7 @@ "id": "466b4920-2991-443c-b5d6-90483c578dc1", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -755,7 +743,7 @@ "id": "1d382449-4e47-4f92-b5b9-07091e3a7aa6", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -763,7 +751,7 @@ "id": "4a52e4ae-ed6f-49f8-9107-06714102ccd5", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -771,7 +759,7 @@ "id": "bfd2a32a-a45f-47d6-933d-4a8c123d7710", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -779,7 +767,7 @@ "id": "b1c050f1-e87b-4a33-bfbd-8af748bfbbc8", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -787,7 +775,7 @@ "id": "31e1fbc4-77be-45c5-b1e8-91b90577e050", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -795,7 +783,7 @@ "id": "cafae5e9-a154-4660-8437-bf66d07c658a", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -803,7 +791,7 @@ "id": "5d4c8d68-e8c8-41f1-a4e2-cd2548bca91d", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -811,7 +799,7 @@ "id": "0f2e986d-0661-4a5c-9244-7fcb3d4ead9c", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -819,7 +807,7 @@ "id": "07780435-91c5-4ad3-8997-35af47771285", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -827,7 +815,7 @@ "id": "c7da7d3b-3a99-46eb-b2b6-a1d804cd02a1", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -835,7 +823,7 @@ "id": "462e607a-0a56-4c96-aca9-5df6d52801ad", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -843,7 +831,7 @@ "id": "47b70469-86fc-447e-bbb1-778410aaf141", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -851,7 +839,7 @@ "id": "99628c5b-d324-4504-aac6-a29128b3a7de", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -859,7 +847,7 @@ "id": "62a8d051-0eff-43c8-8655-ba1829ff869c", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -867,7 +855,7 @@ "id": "dac9e4a1-6a8c-4fd3-987c-462db24f1e46", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -875,7 +863,7 @@ "id": "d94b6331-6717-4bea-b384-cc47fbb1e826", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -883,7 +871,7 @@ "id": "ab7f0d78-ffbf-4971-807d-b28a5c054dbb", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -892,238 +880,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -1164,7 +1152,7 @@ "id": "085aa101-e3f7-4fd4-b9b1-a8c1c87b0829", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -1172,7 +1160,7 @@ "id": "e149c092-b964-4ddd-ba38-ab18720d7d65", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -1180,7 +1168,7 @@ "id": "75efd62e-ab34-46db-a97f-9ec929afe1ac", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -1188,7 +1176,7 @@ "id": "ad5c7966-e2ee-40a4-ab50-3896f501fe32", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -1196,7 +1184,7 @@ "id": "45269174-3638-43f6-9c2c-6aa19a1e996a", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -1204,7 +1192,7 @@ "id": "024ae065-d756-4307-ad12-a648b77ef44a", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -1212,7 +1200,7 @@ "id": "5b4df428-66c0-4b1d-bf20-235d7d346311", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1220,7 +1208,7 @@ "id": "93d66563-a88c-4d3d-9bc0-b13062618c7c", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -1228,7 +1216,7 @@ "id": "b647b0c9-175e-415d-81e5-2902bd642265", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -1236,7 +1224,7 @@ "id": "d54c650a-74e5-48bf-84bd-f528e5e489f2", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -1244,7 +1232,7 @@ "id": "65b7d31a-2bb4-463a-906b-68275b87b4d8", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -1252,7 +1240,7 @@ "id": "b5bd1370-e0c7-430a-8dbb-a42e4138e2f0", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1260,7 +1248,7 @@ "id": "39b84ca5-14b4-4e55-903a-e31d20c2aa3b", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -1268,7 +1256,7 @@ "id": "a5f4209e-d1f4-4823-8018-58d499b330f1", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -1276,7 +1264,7 @@ "id": "c7e0799f-ac77-4d53-92ac-53262518dc8c", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -1284,7 +1272,7 @@ "id": "bd141559-2cd0-49a7-9af0-d5ea33fd1ec1", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1292,7 +1280,7 @@ "id": "0d08c6a9-16a5-4cbf-ad60-ceea9388d7dd", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -1300,7 +1288,7 @@ "id": "dddba5a7-86c4-437d-a194-8a17f23e0945", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -1308,7 +1296,7 @@ "id": "3c56f40a-5531-4d13-9658-48aaa648ad79", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1316,7 +1304,7 @@ "id": "06a93c6e-47f5-4cda-8156-ed9a246c9a20", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1324,7 +1312,7 @@ "id": "612fa6f9-ddf1-4b82-833d-83291ffd73ad", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -1332,7 +1320,7 @@ "id": "6f41cebc-6a62-407f-aef1-73825aee8f5e", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -1340,7 +1328,7 @@ "id": "6368fb74-9eeb-4d1f-b945-d55f591522e7", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -1348,7 +1336,7 @@ "id": "d1b0e70e-65a1-40bb-9ef1-49d5ec634380", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -1356,7 +1344,7 @@ "id": "e1789f81-2667-41d3-9c08-7df10a59fef5", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -1364,7 +1352,7 @@ "id": "6323ed2f-b5f1-49ba-851f-a072b8c3775b", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1372,7 +1360,7 @@ "id": "cf547378-ce49-4fa2-8c91-a013afe26ca6", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -1380,7 +1368,7 @@ "id": "5e25d24a-4fe8-4d32-804a-c951b0f3416b", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -1388,7 +1376,7 @@ "id": "4ac7fe0e-51f3-492a-ad59-ddd618cb42ce", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1396,7 +1384,7 @@ "id": "68761348-e829-4712-bd57-b5548c147493", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -1404,7 +1392,7 @@ "id": "e83adc4a-12ed-4726-860d-d5fc96ec01b7", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -1412,7 +1400,7 @@ "id": "69ce92df-c25f-468c-a0ca-15705b559859", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1420,7 +1408,7 @@ "id": "833db849-73cc-4a91-a9e5-6d5c8c7f4a5e", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -1428,7 +1416,7 @@ "id": "589d0254-b4c0-44a6-9b13-4b2eec6c3492", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -1436,7 +1424,7 @@ "id": "cd36b6d1-fe97-4a02-8be7-48750b7b239d", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -1444,7 +1432,7 @@ "id": "f8d70b77-7092-4add-9f52-94ac87c18edb", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -1452,7 +1440,7 @@ "id": "6135e50c-0ef5-41a9-834d-ab323450fe49", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -1460,7 +1448,7 @@ "id": "fd4ff6d9-20bf-4b8a-ad31-3efa9e340ac7", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -1468,7 +1456,7 @@ "id": "647ad804-74e2-4f53-b208-c037596619fe", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -1476,7 +1464,7 @@ "id": "b576decc-47f9-4633-951e-7591bb48a6fc", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -1484,7 +1472,7 @@ "id": "f854289e-8431-4a4f-b5f6-af3a5b760686", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -1492,7 +1480,7 @@ "id": "1e51369f-c4db-4ebf-9f56-8b0831c7e53a", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -1500,7 +1488,7 @@ "id": "082e1a14-3fed-43c6-9536-5111a7bd48fb", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1508,7 +1496,7 @@ "id": "a3411782-eefa-4a96-8241-e4dee9fa231b", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1516,7 +1504,7 @@ "id": "952918ea-c9b1-4cc7-acbf-57bb88208ada", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1524,7 +1512,7 @@ "id": "f9d06ad7-68ba-4490-9dd6-cf54e557a8ab", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1532,7 +1520,7 @@ "id": "8b9b2c05-8638-4e1f-a756-be29c6879959", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1540,7 +1528,7 @@ "id": "ad246b90-c307-402c-86aa-b1504c846df3", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1548,7 +1536,7 @@ "id": "364c68cb-87b1-49f0-a340-19dbba851841", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1556,7 +1544,7 @@ "id": "4cf6353c-ab7d-4353-8855-afe3f494c145", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1564,7 +1552,7 @@ "id": "1a99746d-c573-4195-9f67-e17eb5182d08", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1572,7 +1560,7 @@ "id": "50f9479f-29d6-4d63-be18-8a1a91dabd0d", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1580,7 +1568,7 @@ "id": "188f452d-074a-4210-8e8b-ab85fd3a993b", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1588,7 +1576,7 @@ "id": "d1b83182-0ccb-403a-a42d-afa8dc90f5c6", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1596,7 +1584,7 @@ "id": "c2cc2f11-ae7d-4c2f-8f7d-83fec6b81d85", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1604,7 +1592,7 @@ "id": "9355ea91-be49-4650-b322-8018faa15404", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1612,7 +1600,7 @@ "id": "463cd3e4-1e85-4f1a-9b82-40bb9e8ba17c", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1620,7 +1608,7 @@ "id": "a2341883-f641-487f-975f-fb15a2d98439", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -1628,7 +1616,7 @@ "id": "d40bfd18-7151-47d6-ac3a-2c240cc47e51", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -1636,7 +1624,7 @@ "id": "9b87f438-8282-4251-b36f-d9e291c3ec72", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -1644,7 +1632,7 @@ "id": "16424e1c-a663-4729-8f7a-087731569c47", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1652,7 +1640,7 @@ "id": "fa00c17b-b5e0-40a4-a373-7a781fd6f257", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1660,7 +1648,7 @@ "id": "c3e015d4-ecb5-4c6d-a648-60102d3262a3", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -1668,7 +1656,7 @@ "id": "c5cd9dcd-5226-4d18-a4f7-6b0f95fbd218", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -1676,7 +1664,7 @@ "id": "da2e9560-4583-4e68-9b9f-4806f02982a0", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1684,7 +1672,7 @@ "id": "81b6f8c1-e327-481e-aa4a-bdff154ab642", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1692,7 +1680,7 @@ "id": "ba9019bd-2ca6-4aa2-ab99-64a2c67e067a", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -1700,7 +1688,7 @@ "id": "76ec270a-0062-4ce6-bc72-6644a3b2ca3a", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1708,7 +1696,7 @@ "id": "c1c7721b-3ce5-4bb4-b6ca-c293184e4c67", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1716,7 +1704,7 @@ "id": "79d6053a-ed86-4fcc-8ac8-5935976e0793", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -1724,7 +1712,7 @@ "id": "fe6c5aa6-f3af-4293-9289-44d95671d12f", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1732,7 +1720,7 @@ "id": "5b6015e1-bbfa-4898-b56e-72a25f7ef205", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1740,7 +1728,7 @@ "id": "14ebd0af-6647-4c9e-8543-d515787ae3be", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1748,7 +1736,7 @@ "id": "70ced8a7-1b57-4a17-a782-a2760651efb4", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1756,7 +1744,7 @@ "id": "34f84f00-9419-4835-9375-b334950b6fa2", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1764,7 +1752,7 @@ "id": "e34fd8c1-6369-4b5c-b0e9-5215de67e6e3", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -1772,7 +1760,7 @@ "id": "75ebf962-1627-412a-876b-0b3640e11cdc", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -1780,7 +1768,7 @@ "id": "f4dca068-f3a2-4dec-b185-62a1bf667298", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -1789,238 +1777,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -2046,44 +2034,44 @@ "edges": [ { "data": { - "source": 0.0, - "target": 1.0, - "weight": 1.0 + "source": 0, + "target": 1, + "weight": 1 } }, { "data": { - "source": 0.0, - "target": 4.0, - "weight": 1.0 + "source": 0, + "target": 4, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 2.0, - "weight": 1.0 + "source": 1, + "target": 2, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 4.0, - "weight": 1.0 + "source": 1, + "target": 4, + "weight": 1 } }, { "data": { - "source": 2.0, - "target": 3.0, - "weight": 1.0 + "source": 2, + "target": 3, + "weight": 1 } }, { "data": { - "source": 3.0, - "target": 4.0, - "weight": 1.0 + "source": 3, + "target": 4, + "weight": 1 } } ], @@ -2092,35 +2080,35 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } } ] @@ -2155,7 +2143,7 @@ "id": "620f04e8-c6ee-470e-930b-6d0240430634", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -2163,7 +2151,7 @@ "id": "68d58a21-c636-4671-896c-7c4a8e5d98b7", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -2171,7 +2159,7 @@ "id": "8b198916-3067-44db-9ed4-b0da60de22c8", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -2179,7 +2167,7 @@ "id": "f9467cb2-4761-4683-b105-450c13597fbc", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -2187,7 +2175,7 @@ "id": "3d3ba002-9bb4-4236-be65-4aa3108e60ec", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -2195,7 +2183,7 @@ "id": "9f4b0ce0-3802-46aa-9506-529c30d959be", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -2203,7 +2191,7 @@ "id": "be99d84b-fd72-47b7-829c-844084a17bd8", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2211,7 +2199,7 @@ "id": "bd00d3e1-cd2d-4c2b-bba6-b9652183ec73", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -2219,7 +2207,7 @@ "id": "34bb9318-c802-483a-b004-1f171ee3ec8e", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -2227,7 +2215,7 @@ "id": "5aa8c4d9-ca9b-4d4d-a645-f11a6ddea783", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -2235,7 +2223,7 @@ "id": "7b72fc84-cc3b-4d62-b531-ced96562989c", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -2243,7 +2231,7 @@ "id": "b570f07d-4d71-46d6-bb84-0c36f52a2e2a", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2251,7 +2239,7 @@ "id": "0013a18f-86a5-4c44-b719-95b333f15a09", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -2259,7 +2247,7 @@ "id": "cab9df27-fc49-4551-b4eb-fda81eb0796d", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -2267,7 +2255,7 @@ "id": "103a1a0c-5e26-4fb9-b9db-8c16dd3c11d8", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -2275,7 +2263,7 @@ "id": "34c56149-2fce-40a3-80a0-35850026c838", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2283,7 +2271,7 @@ "id": "85becf7b-6a44-427a-a3f6-edcdf7ecb3a1", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -2291,7 +2279,7 @@ "id": "258a019b-d339-44b4-b5b0-46f7753c6675", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -2299,7 +2287,7 @@ "id": "f3ab35d4-0adf-42f6-8c5b-12e82359889e", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2307,7 +2295,7 @@ "id": "5b5c451a-02b5-45ea-aff4-a07da2ff8500", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2315,7 +2303,7 @@ "id": "6ea4a4fa-1513-40b9-ba32-19286a2053ec", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -2323,7 +2311,7 @@ "id": "89d18912-eb43-4cd8-99b7-53939f460023", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -2331,7 +2319,7 @@ "id": "fdb41128-e261-4def-b8b9-dc0fd30b9495", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -2339,7 +2327,7 @@ "id": "5ba5ddc6-7bb8-493e-9742-168f4dc0680f", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -2347,7 +2335,7 @@ "id": "a6f41c9a-3c81-47ce-96c9-e66bb32cfddf", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -2355,7 +2343,7 @@ "id": "d7628d0b-6da6-42e7-9bfa-250c7a0a5187", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2363,7 +2351,7 @@ "id": "19efee0b-c521-48c4-b9f5-b6d4ec13ddb9", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -2371,7 +2359,7 @@ "id": "28317596-3de6-4cf5-a929-68d0f9940b7d", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -2379,7 +2367,7 @@ "id": "bee0bd63-9cb7-4aa8-8e07-0df52f9a9183", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2387,7 +2375,7 @@ "id": "3eabf4b5-649f-4904-8e7b-68f9c0bfa2d3", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -2395,7 +2383,7 @@ "id": "50e7b0aa-86b8-4509-b454-96fdf99a1419", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -2403,7 +2391,7 @@ "id": "53f4bad1-b678-44ce-b629-19b0c2ae0073", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2411,7 +2399,7 @@ "id": "88b02e59-109e-484f-a1bd-2edc638c61b8", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -2419,7 +2407,7 @@ "id": "3ea26939-66fd-4883-8167-78b496d7f820", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -2427,7 +2415,7 @@ "id": "52949a82-d230-4734-b60e-000a114412b2", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -2435,7 +2423,7 @@ "id": "34d8f605-46be-4833-aeb0-7b34569458f4", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -2443,7 +2431,7 @@ "id": "a781407f-6ea9-447e-a4a7-78d5eba4382e", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -2451,7 +2439,7 @@ "id": "30f3d5b9-5c50-4f4f-b4fa-0aefd6b4edd3", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -2459,7 +2447,7 @@ "id": "b8e6cccc-6f69-40ab-9de9-1bf9f40ab4ed", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -2467,7 +2455,7 @@ "id": "ac5a01e6-af66-4caf-989c-cd93e0290ea8", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -2475,7 +2463,7 @@ "id": "bba44e08-f0f7-499c-9d81-1ba72230effd", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -2483,7 +2471,7 @@ "id": "300d0502-3bfe-4ebc-9499-2e6701f0c836", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -2491,7 +2479,7 @@ "id": "facbf0ae-1014-4905-8413-eb9a500a79f6", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2499,7 +2487,7 @@ "id": "147054c5-1385-4a3c-a749-d8c23ec01905", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2507,7 +2495,7 @@ "id": "6d87a9cc-5fd0-4bb0-975e-a9d43f88ed0d", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2515,7 +2503,7 @@ "id": "1a9e116f-0959-435f-bd8b-dfd7b7f127f0", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2523,7 +2511,7 @@ "id": "7c348d4b-0358-4113-bee7-e5e69165b34d", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2531,7 +2519,7 @@ "id": "ed89a088-7900-4095-92ba-587ce431b388", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2539,7 +2527,7 @@ "id": "91479544-bc11-4479-b888-aad10e8e5a94", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2547,7 +2535,7 @@ "id": "de69dc69-febb-4031-b60f-8039788251ab", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2555,7 +2543,7 @@ "id": "ba567e3f-5b30-42d9-8d07-ee53e7b6bbc6", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2563,7 +2551,7 @@ "id": "c4dbe0e5-43d0-4c8f-89bb-f8115a6d2645", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2571,7 +2559,7 @@ "id": "560a3062-4624-48ff-8538-c625cfd58958", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2579,7 +2567,7 @@ "id": "457410bb-dd44-4b18-a7ff-8ed4dc55071d", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2587,7 +2575,7 @@ "id": "6e781602-9d97-4765-9607-9bb1c3f43bf8", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2595,7 +2583,7 @@ "id": "33683a53-2a55-4e82-8144-e4dac89d1553", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2603,7 +2591,7 @@ "id": "38ae90bb-00b9-4977-9e13-be34ce92a8af", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2611,7 +2599,7 @@ "id": "6ed65ab5-f7f0-456e-a894-1a1247bda903", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -2619,7 +2607,7 @@ "id": "07ade42a-2bcf-42d3-b11d-dc3a938819da", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -2627,7 +2615,7 @@ "id": "3b1b1035-3177-45aa-b37d-48b971bcf3c9", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -2635,7 +2623,7 @@ "id": "b7f43b21-32ca-43ed-97dd-19fa696207ae", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2643,7 +2631,7 @@ "id": "0176113c-be0a-4472-96bb-88aac0a4a2fd", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2651,7 +2639,7 @@ "id": "3cb29b1d-b369-46c7-bbb4-c99c54d9fd24", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -2659,7 +2647,7 @@ "id": "b5db8d5e-e1ca-43ff-a2c7-5fc7ca9e38c8", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -2667,7 +2655,7 @@ "id": "4e9277a3-0777-45b1-a45a-69e95344799f", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2675,7 +2663,7 @@ "id": "be87ef53-de3a-4b13-9773-fcb78ef9ea34", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2683,7 +2671,7 @@ "id": "c1a58aa7-212e-4cb4-b8a2-50af44656cad", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -2691,7 +2679,7 @@ "id": "624417f6-e4ef-401f-a2cd-14248912c8fe", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2699,7 +2687,7 @@ "id": "41c33479-b634-4548-8ecb-5806bc26e6c2", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2707,7 +2695,7 @@ "id": "6a34e049-6cee-4e4a-9931-3343a810a51a", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -2715,7 +2703,7 @@ "id": "a7406893-0852-404a-8119-648ddcd56664", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2723,7 +2711,7 @@ "id": "98fa5692-76da-41e3-8521-e8b84a01a435", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2731,7 +2719,7 @@ "id": "f6095009-2afa-48b1-8e43-7c372def30dc", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2739,7 +2727,7 @@ "id": "2ee4ce25-ddc0-4ebf-94bd-2889fcd49ddb", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2747,7 +2735,7 @@ "id": "b2103473-cff6-478c-87f9-4791b917b41e", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2755,7 +2743,7 @@ "id": "21d0de12-d17b-43b6-8984-e1784b23f2b8", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -2763,7 +2751,7 @@ "id": "75bf7654-0d11-4da5-a801-f869a7c9d710", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -2771,7 +2759,7 @@ "id": "8cf059be-1900-4632-8730-d0da7fe91ba2", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -2780,238 +2768,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -3040,7 +3028,7 @@ "id": "e6b5a987-0a09-41c6-aa59-6744980866b9", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -3048,7 +3036,7 @@ "id": "dbfbdeda-04d9-47ef-9086-73a087f63230", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -3056,7 +3044,7 @@ "id": "d04b685e-cf78-4f66-80c5-81964d1fe12b", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3064,7 +3052,7 @@ "id": "e3ef850a-25cb-455b-ae55-d11950a78f8f", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -3072,7 +3060,7 @@ "id": "401fa79f-898a-4d17-9269-01a18805a7fe", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -3080,7 +3068,7 @@ "id": "748dd0c0-7566-4ac5-95fe-96d2c988e748", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3088,7 +3076,7 @@ "id": "774f6f0d-94a4-4ac1-abc5-b516b177cebd", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3096,7 +3084,7 @@ "id": "765d1e0b-1146-4b8d-881d-1bf547cdc3d6", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -3104,7 +3092,7 @@ "id": "56e43c73-9121-4343-880d-a5bf08112893", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3112,7 +3100,7 @@ "id": "4251b760-3a67-4442-9fc6-b04fe2b3d660", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -3120,7 +3108,7 @@ "id": "23920fbb-a90f-44a2-a65b-ed52a26f2dde", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -3128,7 +3116,7 @@ "id": "86aab285-a5e0-4548-b9e9-f7434fa0da2e", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3136,7 +3124,7 @@ "id": "de9029f7-9546-423b-bf07-17fd5df4630d", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -3144,7 +3132,7 @@ "id": "dd9cd57f-62fa-4c2f-ae4d-00ab87bcb7c1", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -3152,7 +3140,7 @@ "id": "aed6dcae-120a-489c-b52c-1c9713cf1720", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -3160,7 +3148,7 @@ "id": "eb45eefb-923e-4ad0-b7d5-fe54a323c958", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3168,7 +3156,7 @@ "id": "1e552ed4-49a7-48b4-b913-cd4624dd0321", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -3176,7 +3164,7 @@ "id": "bbdc6093-e158-4943-8f07-1c23fa87080f", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3184,7 +3172,7 @@ "id": "735ca118-a5a7-432d-b22c-76989e8828bd", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3192,7 +3180,7 @@ "id": "be82aeab-0815-4832-9164-6a3ab3f1706b", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3200,7 +3188,7 @@ "id": "a01b8742-9ed0-4554-b60d-be98c15273d9", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -3208,7 +3196,7 @@ "id": "fb841ecf-ce55-4c96-b337-2770046a1fed", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -3216,7 +3204,7 @@ "id": "6ba9b977-b7b4-4d16-a5b1-2d75c87a548f", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -3224,7 +3212,7 @@ "id": "93737ca3-294b-4aa8-8676-be1f668eb881", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -3232,7 +3220,7 @@ "id": "7d8d69c2-258a-4a23-b9a3-366f654dc511", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3240,7 +3228,7 @@ "id": "9418ff08-e252-47b5-b7eb-2dee869a8203", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3248,7 +3236,7 @@ "id": "7191c853-81f1-449d-86a8-502b3bd06731", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -3256,7 +3244,7 @@ "id": "273353f4-e02a-429a-b350-b615df2625d0", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -3264,7 +3252,7 @@ "id": "73003209-c15c-4444-be5f-bd60657f4429", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3272,7 +3260,7 @@ "id": "55464495-1623-46d7-a8da-a47a4209783b", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -3280,7 +3268,7 @@ "id": "feebb1f7-c212-425b-a0f4-9b95b2dbe653", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -3288,7 +3276,7 @@ "id": "1a9d10a8-34a8-4d71-aafc-6404988292ef", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3296,7 +3284,7 @@ "id": "683b3002-6fe1-4b70-95d6-d6970c254ac8", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3304,7 +3292,7 @@ "id": "f9aadc9f-65e3-433e-8248-414ef0197019", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -3312,7 +3300,7 @@ "id": "b1bc184f-0393-4c50-9373-84507141ae87", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -3320,7 +3308,7 @@ "id": "fd76429a-adc9-44fa-a455-fc1fad171b19", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3328,7 +3316,7 @@ "id": "99925a0d-fc35-4580-9540-67d38196531d", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3336,7 +3324,7 @@ "id": "d50a8336-64b9-4ee4-a722-399423f53c04", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3344,7 +3332,7 @@ "id": "b0244cb8-2eda-4154-8209-ac14e2052785", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3352,7 +3340,7 @@ "id": "53bf60c4-e7ab-4f0c-a003-eb8282d844a4", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -3360,7 +3348,7 @@ "id": "fa087b1c-865f-4721-92e2-1b4c94ef9dcd", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -3368,7 +3356,7 @@ "id": "132dbde2-99c5-4234-9fec-580c2045f6ba", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -3376,7 +3364,7 @@ "id": "058dcd31-aa8d-4d30-ac6a-e1c9e4b772e7", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3384,7 +3372,7 @@ "id": "5d7a20d0-1a6b-4188-aa9c-04f361f406b9", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3392,7 +3380,7 @@ "id": "67939b85-c4bb-43b2-a143-986ba50d3727", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3400,7 +3388,7 @@ "id": "e993e29d-d2e8-4908-8c71-4d426f37b50f", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3408,7 +3396,7 @@ "id": "c1331ea8-b65b-45c0-81c6-bec45505a6a5", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3416,7 +3404,7 @@ "id": "5ba23511-5651-42ff-a0f4-d7f343f89f0b", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3424,7 +3412,7 @@ "id": "7b79c0be-1cbe-463e-996d-b008dc250861", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3432,7 +3420,7 @@ "id": "70b650f4-d0aa-42db-b57e-2a9785eb5ac9", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3440,7 +3428,7 @@ "id": "2b37bc91-2643-4847-af75-2e0706827e0d", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3448,7 +3436,7 @@ "id": "eb005df2-b3b7-48ee-baa9-99f223081a39", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3456,7 +3444,7 @@ "id": "e22cdbab-27d5-450e-8d24-5baf1cd85f0c", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3464,7 +3452,7 @@ "id": "cd67ec96-980d-466d-a03e-805054b0b71e", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3472,7 +3460,7 @@ "id": "d3451fbe-e812-4f97-a862-af590dde1450", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3480,7 +3468,7 @@ "id": "99bb4d1e-c532-4647-834e-dfc3664100e3", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3488,7 +3476,7 @@ "id": "4a837dfd-f7a3-4e76-a792-e81248bda264", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3496,7 +3484,7 @@ "id": "417f30f5-d791-425f-81b1-8ea8655b2416", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -3504,7 +3492,7 @@ "id": "dd4db35b-eaec-4937-9009-86d5b511dbde", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -3512,7 +3500,7 @@ "id": "f1b2e0a3-2e2f-43c2-8c50-7372a6f422d3", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -3520,7 +3508,7 @@ "id": "65233fb2-9877-44be-b028-d36dd94041d9", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3528,7 +3516,7 @@ "id": "96f8626a-3a4d-4ed0-b74e-bbcf82e004d0", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3536,7 +3524,7 @@ "id": "502f2e57-8465-4e9c-8b6b-8b93898525f2", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -3544,7 +3532,7 @@ "id": "6d23c1ef-bb4d-44a8-9771-fa3b077d8447", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -3552,7 +3540,7 @@ "id": "dc6832f5-5c23-4ef4-9499-43b41818e0a3", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3560,7 +3548,7 @@ "id": "236a0a65-1e56-4a11-b521-ad88c2550119", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3568,7 +3556,7 @@ "id": "cc0ed55c-797e-44f5-a148-71e8056b21b9", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -3576,7 +3564,7 @@ "id": "c8006287-f159-46c7-a700-8e50718791a5", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3584,7 +3572,7 @@ "id": "1d3582b1-ef5d-4669-b466-abd4eaf02d85", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3592,7 +3580,7 @@ "id": "6729b210-447e-41e8-adec-c6dff2a289b0", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -3600,7 +3588,7 @@ "id": "8e96fffd-1fe3-4ed9-8c7b-8bde2aaf6e9f", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3608,7 +3596,7 @@ "id": "b49ee94e-e5f8-4801-8165-59d3ed4b1161", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3616,7 +3604,7 @@ "id": "bc268abf-507e-494d-aaed-dd58e5ff426c", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3624,7 +3612,7 @@ "id": "0a79677d-7273-4df3-a265-3e3e80c77b62", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3632,7 +3620,7 @@ "id": "b0ff63a8-38e4-4d64-b3fe-d806fad643cc", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3640,7 +3628,7 @@ "id": "22e8dedc-72c1-4fb2-97fd-68cd8d2a95ac", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -3648,7 +3636,7 @@ "id": "3fb10e17-9250-4d83-b3e1-e40fd7629013", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -3656,7 +3644,7 @@ "id": "c997c756-95ca-41d3-840b-7ea300a24bd5", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -3665,238 +3653,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -3925,7 +3913,7 @@ "id": "57683d03-5e0e-4dc6-9348-76bf13360107", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -3933,7 +3921,7 @@ "id": "0d3130dc-1f13-45ba-8b40-49299ab6e7f5", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -3941,7 +3929,7 @@ "id": "f53595c4-d242-4e0e-8aa0-1890d40516fe", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -3949,7 +3937,7 @@ "id": "10832546-c693-4648-8308-61787db29fa6", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -3957,7 +3945,7 @@ "id": "9cdafbfc-a4e7-432a-a06b-927d203b8dd8", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -3965,7 +3953,7 @@ "id": "d1481315-b5cf-4497-8d11-775140c97393", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -3973,7 +3961,7 @@ "id": "44a41525-9920-4e09-b506-944fad7e7d5e", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -3981,7 +3969,7 @@ "id": "9fcbbd25-59cc-40e3-86cf-570ceb4094f1", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -3989,7 +3977,7 @@ "id": "9d224eed-35d2-47b2-be0e-86f7ee61d136", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -3997,7 +3985,7 @@ "id": "64a122da-7d0b-425c-95ff-cf19b2c57799", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -4005,7 +3993,7 @@ "id": "67cc5d26-f2e6-4591-b430-4e9527c76354", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -4013,7 +4001,7 @@ "id": "4a85166d-2209-4497-8486-fa5df8a0f7c4", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4021,7 +4009,7 @@ "id": "818b0e02-9b3a-4b88-bcc1-621af9d3984c", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -4029,7 +4017,7 @@ "id": "2818b998-6c48-40c6-9281-ff762c4576ba", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -4037,7 +4025,7 @@ "id": "c926069c-b336-456e-a721-882b0b318c1f", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -4045,7 +4033,7 @@ "id": "b5c821ff-064e-43fa-b5ef-7f22654eb9a4", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4053,7 +4041,7 @@ "id": "b93e10fe-da76-4f9e-aa30-976470048b4e", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -4061,7 +4049,7 @@ "id": "f21ef70d-de60-4467-a796-2fe2b8979256", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -4069,7 +4057,7 @@ "id": "9dd3ee2a-5ede-4799-950a-3edfe087cd15", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4077,7 +4065,7 @@ "id": "343a10b6-5988-43b6-8644-fc729cd39668", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4085,7 +4073,7 @@ "id": "fdf27ade-a018-4787-abca-c7ca41d3ccb4", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -4093,7 +4081,7 @@ "id": "b2a5e74a-75d1-4778-9cb6-c2033a893ae7", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -4101,7 +4089,7 @@ "id": "15a7b4ef-6e67-4428-8a57-1c8b13ca110a", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -4109,7 +4097,7 @@ "id": "384ab13b-5885-4360-aac4-77402ac1ea8f", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -4117,7 +4105,7 @@ "id": "b3a8e238-9c4f-4c6e-9ff8-3521f0e36481", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -4125,7 +4113,7 @@ "id": "82887643-50b2-48a9-b650-567928ab6841", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4133,7 +4121,7 @@ "id": "99ca64f3-23fe-46cd-b610-5753545850ee", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -4141,7 +4129,7 @@ "id": "a7ddc508-a962-4557-ad05-703f04cf822a", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -4149,7 +4137,7 @@ "id": "a7ebbccb-05b4-4002-9a5d-113cce73537b", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4157,7 +4145,7 @@ "id": "6ac1d361-5470-472f-b465-23eb66c40f98", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -4165,7 +4153,7 @@ "id": "fbce9fb2-e749-4e10-b623-28ab7f465086", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -4173,7 +4161,7 @@ "id": "5aadd964-cd7a-43fa-a53a-d9058a1ea563", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4181,7 +4169,7 @@ "id": "802b58e9-9716-4b2e-809e-539abb4026f0", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4189,7 +4177,7 @@ "id": "ee0c4ee3-f785-4e7a-b0f9-3952afc05434", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -4197,7 +4185,7 @@ "id": "202fe3cb-dca3-432c-9472-c2c606b66391", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -4205,7 +4193,7 @@ "id": "499bbdee-7e45-43f4-bbd5-1e878febabca", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -4213,7 +4201,7 @@ "id": "373b9990-06c9-44dc-8ecf-0177d742c6df", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -4221,7 +4209,7 @@ "id": "3dbe6a3c-4d13-470a-854d-4f2e6526c5ef", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -4229,7 +4217,7 @@ "id": "2444b3e9-4ba0-4865-b885-836d3ede9eaa", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -4237,7 +4225,7 @@ "id": "4a80ae48-952a-436b-9451-8f0ca88fdbe3", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -4245,7 +4233,7 @@ "id": "47d1ceb5-2fe0-42c7-bda4-31bd100b6da7", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -4253,7 +4241,7 @@ "id": "732798e4-2031-4658-867f-9b4bbe8659c5", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -4261,7 +4249,7 @@ "id": "b971a074-3b58-4a40-85b6-4ac7665e8907", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4269,7 +4257,7 @@ "id": "0cde8b2c-9897-49c7-a270-95598f553c7f", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4277,7 +4265,7 @@ "id": "f0a498a5-562f-4ce1-a429-0c27e452eb6d", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4285,7 +4273,7 @@ "id": "f2301bea-5d06-4a1d-810e-ee522e60c2a4", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4293,7 +4281,7 @@ "id": "bf1d042e-eac9-4b70-a0a1-4309f1e77282", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4301,7 +4289,7 @@ "id": "afdd392a-1a22-42d2-a278-61714d9553aa", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4309,7 +4297,7 @@ "id": "9eaa2100-9872-45fa-87ab-ea6341163179", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4317,7 +4305,7 @@ "id": "84f12456-ed72-49d9-a97d-eff47a4618d0", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4325,7 +4313,7 @@ "id": "fca2e358-8e22-48e6-b6ce-0ad119feb0fd", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4333,7 +4321,7 @@ "id": "8ac132f9-1e5c-48f7-a73e-eb5d8cedcab9", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4341,7 +4329,7 @@ "id": "24fe0d53-1dc6-46c5-964a-4653be2eee05", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4349,7 +4337,7 @@ "id": "1418f9c1-d67c-4c48-8b24-f611caaebb7d", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4357,7 +4345,7 @@ "id": "fc11a592-39cf-44a3-9fb7-4c53c9287408", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4365,7 +4353,7 @@ "id": "dd038e26-f5f9-4888-bf11-16688cc4e47f", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4373,7 +4361,7 @@ "id": "4dcd4567-d207-424d-8f08-89f3cbea3f40", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4381,7 +4369,7 @@ "id": "e2c3aa0f-84d6-4910-94ca-d1f833bbcb42", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -4389,7 +4377,7 @@ "id": "8f4c250c-2a6b-45c6-85e5-18ad6483d646", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -4397,7 +4385,7 @@ "id": "0a620bf5-7167-47fb-9f75-9f18bc6b64b7", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -4405,7 +4393,7 @@ "id": "2ebd1099-6fd2-43bc-b32b-57900fd46e00", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4413,7 +4401,7 @@ "id": "285065a2-6f57-4869-bbb6-ddbdd86f79af", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4421,7 +4409,7 @@ "id": "5aed2dc9-7a79-4275-8298-402a93814048", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -4429,7 +4417,7 @@ "id": "d9fd98d6-7153-4f39-9d99-4646afbe7c19", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -4437,7 +4425,7 @@ "id": "cd6da3ae-6640-4787-8c93-e2ef69c0c958", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4445,7 +4433,7 @@ "id": "2ae8dc81-17a4-4c08-aed8-c44e32c9dcf9", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4453,7 +4441,7 @@ "id": "5f593c39-d703-49f0-b25a-e62af4a242e3", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -4461,7 +4449,7 @@ "id": "2cdddeb3-6bbf-4bf7-bac5-b715ede01f83", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4469,7 +4457,7 @@ "id": "2c2e8436-2cf5-4544-a314-c95550c35240", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4477,7 +4465,7 @@ "id": "46807576-2dc8-4403-aba6-5379dfe65599", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -4485,7 +4473,7 @@ "id": "e29bab8b-ab88-4fdb-a449-e6b211ed96ba", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4493,7 +4481,7 @@ "id": "7a82bb13-91f4-415b-a5a6-d0f4e1902b96", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4501,7 +4489,7 @@ "id": "0e8add9d-d0ad-4de0-8c45-12f25bb18cf6", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4509,7 +4497,7 @@ "id": "0c032f97-c2f1-4dc5-875f-0285b0e5c7bb", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4517,7 +4505,7 @@ "id": "85551060-3f52-4b92-8fd7-66995a3ead87", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4525,7 +4513,7 @@ "id": "78f958a4-9de3-4457-9129-6cbb2625130a", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -4533,7 +4521,7 @@ "id": "68084c65-23a8-4d3c-80e6-d87f481254c0", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -4541,7 +4529,7 @@ "id": "33df238f-2b89-4530-9a3c-e5714cd84e59", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -4550,238 +4538,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -4819,44 +4807,44 @@ "edges": [ { "data": { - "source": 0.0, - "target": 1.0, - "weight": 1.0 + "source": 0, + "target": 1, + "weight": 1 } }, { "data": { - "source": 0.0, - "target": 4.0, - "weight": 1.0 + "source": 0, + "target": 4, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 2.0, - "weight": 1.0 + "source": 1, + "target": 2, + "weight": 1 } }, { "data": { - "source": 1.0, - "target": 4.0, - "weight": 1.0 + "source": 1, + "target": 4, + "weight": 1 } }, { "data": { - "source": 2.0, - "target": 3.0, - "weight": 1.0 + "source": 2, + "target": 3, + "weight": 1 } }, { "data": { - "source": 3.0, - "target": 4.0, - "weight": 1.0 + "source": 3, + "target": 4, + "weight": 1 } } ], @@ -4865,35 +4853,35 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } } ] @@ -4934,7 +4922,7 @@ "id": "551fd1b3-5a93-4f15-ab93-7485f9cc2116", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -4942,7 +4930,7 @@ "id": "a8b84537-7766-46a9-9c2a-adeccd0b7d32", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -4950,7 +4938,7 @@ "id": "c1b923e3-df7c-47ef-9a05-b566e8bb04f7", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -4958,7 +4946,7 @@ "id": "13aaf40f-e97b-4171-ba7f-621e9defb345", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -4966,7 +4954,7 @@ "id": "51aad585-f5e8-4a66-8780-54af075e62c4", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -4974,7 +4962,7 @@ "id": "27c8fad8-6f0b-4747-aa1b-77b1c670e9c2", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -4982,7 +4970,7 @@ "id": "bbef9a77-12f1-4062-9170-22d8dc1ecfea", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -4990,7 +4978,7 @@ "id": "a27e6411-140d-4f85-bbf3-3d959d7791f7", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -4998,7 +4986,7 @@ "id": "d9da351e-fa80-4ddb-8fe6-6a2d0c60cb2f", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -5006,7 +4994,7 @@ "id": "7064826a-c7e9-46a3-9dce-548fd4f77f4b", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -5014,7 +5002,7 @@ "id": "da2f93bc-eb6b-42c4-9090-384c4be6f5e8", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -5022,7 +5010,7 @@ "id": "9886c237-0eba-4bff-b534-5190bd03c398", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5030,7 +5018,7 @@ "id": "ecd26111-bba7-4d5a-bacf-9a41885ccbd1", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5038,7 +5026,7 @@ "id": "f387b0a4-55b1-46e0-b572-fb443520654a", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5046,7 +5034,7 @@ "id": "aed37cac-12c1-4b74-8c90-15de76ec30e5", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -5054,7 +5042,7 @@ "id": "e07f34a2-960e-4311-a9ac-5c40b93b3409", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5062,7 +5050,7 @@ "id": "cdf78fd3-1738-4be6-b965-2fab494bf40c", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -5070,7 +5058,7 @@ "id": "4dcd6b4d-2e01-443e-ab03-723a6e48692f", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5078,7 +5066,7 @@ "id": "d163602b-b33b-4cc2-bb76-18e4a102bce3", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5086,7 +5074,7 @@ "id": "b912f732-e191-4d0a-9ef0-3b8aef5f3b45", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5094,7 +5082,7 @@ "id": "bab99a05-d216-4908-9ec2-e50bbb1ff8da", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5102,7 +5090,7 @@ "id": "d8b94174-566d-48d6-b29d-cc796505f8dd", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5110,7 +5098,7 @@ "id": "f1893c52-a51a-439b-bda3-1c67cc2fad34", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -5118,7 +5106,7 @@ "id": "75f82446-cf15-461e-b520-f527c95eae2b", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -5126,7 +5114,7 @@ "id": "633b270c-52a4-4c4d-a943-59791a61bad8", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5134,7 +5122,7 @@ "id": "1dbd0ced-983b-420a-ae51-83711be0e97c", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5142,7 +5130,7 @@ "id": "6908943f-051c-4845-83e7-c7f05529261d", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -5150,7 +5138,7 @@ "id": "b9368201-d47b-4cf5-8c2b-1fb82013d868", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -5158,7 +5146,7 @@ "id": "46d53645-d59a-4f21-ac95-ac014e8f046d", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5166,7 +5154,7 @@ "id": "bd4ab14f-e279-4a88-8c12-ab5d8413a281", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -5174,7 +5162,7 @@ "id": "156aa20e-dce1-4c62-ae25-4cbf439e2911", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -5182,7 +5170,7 @@ "id": "e76a5751-40f3-4d30-bc7c-2e48e988d8c2", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5190,7 +5178,7 @@ "id": "714a1e78-0d04-4729-8189-0e7f6bc52b56", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5198,7 +5186,7 @@ "id": "a7699505-ce04-4b40-88de-c1573e19c563", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -5206,7 +5194,7 @@ "id": "4404d7f1-7eb1-47b4-9c2b-264ff5483461", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5214,7 +5202,7 @@ "id": "f531fc39-1653-424e-8485-f23237bbf745", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -5222,7 +5210,7 @@ "id": "26737cae-d454-46e4-9378-1c8b874639bd", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -5230,7 +5218,7 @@ "id": "d03a21d9-2031-4b21-934f-35331e6f3a96", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -5238,7 +5226,7 @@ "id": "79549152-aa85-4d12-915f-ad5309bac470", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -5246,7 +5234,7 @@ "id": "d79bc45d-120b-4aec-9cfa-8bccc4cb9642", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -5254,7 +5242,7 @@ "id": "501b135c-c393-4e56-9146-05783401b44f", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -5262,7 +5250,7 @@ "id": "8dfc3091-e3ee-4137-8d6f-496622f48eb6", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -5270,7 +5258,7 @@ "id": "91242b9e-d62a-4250-ada3-b02de728b6cb", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5278,7 +5266,7 @@ "id": "b3afc64e-8bb0-4bfc-8e80-77a09ed33d80", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5286,7 +5274,7 @@ "id": "b6f50c48-2e7c-450c-8f03-90b598597278", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5294,7 +5282,7 @@ "id": "76ceae9f-c4ef-4941-824a-db1b76f8920f", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5302,7 +5290,7 @@ "id": "bfbd8a56-04be-4149-b32a-6df964d21a2f", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5310,7 +5298,7 @@ "id": "ff907bf4-fc81-4072-85e9-01a81fc4c99d", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5318,7 +5306,7 @@ "id": "09460376-2f72-4cd0-b9f7-02206f6917ed", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5326,7 +5314,7 @@ "id": "9a569d58-79cf-4f89-841a-d8ed9f8c9526", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5334,7 +5322,7 @@ "id": "b5af13c8-7f4c-4d06-a4c0-2a5cfa9b20ab", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5342,7 +5330,7 @@ "id": "af7f6587-56eb-466e-9307-cb992b558277", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5350,7 +5338,7 @@ "id": "44b6da03-c650-4a71-8d7b-9e21a7c03ba8", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5358,7 +5346,7 @@ "id": "a596cdad-9e21-4012-af92-df7ff9c35fce", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5366,7 +5354,7 @@ "id": "c3567bd5-2096-4355-a009-4c9b9e801dbb", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5374,7 +5362,7 @@ "id": "f4a91c35-48e4-42a7-8b79-1dfb10059542", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5382,7 +5370,7 @@ "id": "f496efcc-ec4b-41d0-b726-7b22e9355cf5", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5390,7 +5378,7 @@ "id": "aead3dc6-0009-4a06-832a-74bfc6961efa", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -5398,7 +5386,7 @@ "id": "66cdd7a7-0c3d-4433-b4c3-22f5450d2d83", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -5406,7 +5394,7 @@ "id": "c8e52f03-c603-47f7-9d01-b6cacd068b17", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -5414,7 +5402,7 @@ "id": "e86fd050-58b5-459c-bc0a-5d77594834d5", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5422,7 +5410,7 @@ "id": "1441c9dc-bbc5-4ee7-b1a2-4cceee2d4641", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5430,7 +5418,7 @@ "id": "7459b539-f799-44f4-bb32-b279db9c35c5", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -5438,7 +5426,7 @@ "id": "8ced93d4-6a69-448d-a79b-ba56688b8b58", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -5446,7 +5434,7 @@ "id": "330eb1db-0a72-450d-933e-1f4517da5494", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5454,7 +5442,7 @@ "id": "9b0e8ac3-fefd-4bcf-822e-f68e0bc08269", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5462,7 +5450,7 @@ "id": "073c2ccb-dc0a-454c-80c2-db85f941eec3", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -5470,7 +5458,7 @@ "id": "e86868c3-598c-4cc7-833f-bfb6044bfab0", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5478,7 +5466,7 @@ "id": "cedd9a3e-802d-4b2d-b4bc-093027e03b3a", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5486,7 +5474,7 @@ "id": "3d0c1607-7d98-42d8-8af7-7e5983d1a83b", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5494,7 +5482,7 @@ "id": "109cfef3-3546-434a-b7f1-e00ec58de98f", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5502,7 +5490,7 @@ "id": "16656ef3-eec5-4983-8f3f-89a120c53ed9", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5510,7 +5498,7 @@ "id": "4eaf2dd0-893a-4d81-90e5-e595fc437bb3", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5518,7 +5506,7 @@ "id": "aae455c6-d869-4419-a43b-105015d44fa0", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5526,7 +5514,7 @@ "id": "ec38985e-cb49-4830-b088-b72c3202bf74", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5534,7 +5522,7 @@ "id": "92391c0c-80cb-41a7-9af7-ffe3adcdd55e", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -5542,7 +5530,7 @@ "id": "d1c6707c-7def-4d80-8e36-10c85f48e082", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -5550,7 +5538,7 @@ "id": "dfdae34a-12e1-4b82-abe8-95a36d6e6b00", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -5559,238 +5547,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -5819,7 +5807,7 @@ "id": "69cf026c-2b87-4239-9902-b0286091d1ff", "source": "0", "target": "1", - "weight": 1.0 + "weight": 1 } }, { @@ -5827,7 +5815,7 @@ "id": "013dbbaf-6b50-4e8e-b89f-f1a8427ecc17", "source": "0", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -5835,7 +5823,7 @@ "id": "7747d99d-bef6-4a0b-a7c4-ea04fa224210", "source": "0", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5843,7 +5831,7 @@ "id": "daecda1b-bb5c-4579-afe7-43bef94f2e3d", "source": "0", "target": "4", - "weight": 1.0 + "weight": 1 } }, { @@ -5851,7 +5839,7 @@ "id": "4e6e4d85-e164-4b1e-bad6-7425bf683888", "source": "0", "target": "5", - "weight": 1.0 + "weight": 1 } }, { @@ -5859,7 +5847,7 @@ "id": "cf4acb9e-7321-4060-bc94-d28dfea5af74", "source": "0", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -5867,7 +5855,7 @@ "id": "ddfb0397-326e-4669-9826-76fb5dbb5463", "source": "0", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5875,7 +5863,7 @@ "id": "67d8a961-3304-4471-8e94-7eeec25a3811", "source": "0", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -5883,7 +5871,7 @@ "id": "439f6b38-4d18-4a34-8c1a-cbc527b85ecb", "source": "0", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -5891,7 +5879,7 @@ "id": "b219383f-64c7-479c-ba11-981c849d9749", "source": "0", "target": "11", - "weight": 1.0 + "weight": 1 } }, { @@ -5899,7 +5887,7 @@ "id": "0edd6d9a-45f2-432a-b49b-587974b4c251", "source": "0", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -5907,7 +5895,7 @@ "id": "61b5d875-6927-4bd9-b862-92fd2bbbc3a4", "source": "0", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5915,7 +5903,7 @@ "id": "7a5a99ab-dadc-4629-b666-0b58bac95c65", "source": "0", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5923,7 +5911,7 @@ "id": "cb793e1e-6a7d-45f2-9da9-ea115954edbf", "source": "0", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5931,7 +5919,7 @@ "id": "a80a7620-03c0-44ac-82aa-983199c529e2", "source": "0", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -5939,7 +5927,7 @@ "id": "112c1508-b761-42a6-9388-b48b6496b3e1", "source": "0", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -5947,7 +5935,7 @@ "id": "a872e718-cfef-4b0a-8625-92e3a30a9026", "source": "1", "target": "2", - "weight": 1.0 + "weight": 1 } }, { @@ -5955,7 +5943,7 @@ "id": "0920d503-4bd5-4666-85bc-f29e09c4b0a8", "source": "1", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -5963,7 +5951,7 @@ "id": "fbd41d4e-365f-4391-bd04-d62b66ae623a", "source": "1", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -5971,7 +5959,7 @@ "id": "ce0c05f5-81b8-4e16-a4e4-b3ec1f2ffe3f", "source": "1", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -5979,7 +5967,7 @@ "id": "70d27dae-2a22-4532-a189-53dc13ff2dfd", "source": "1", "target": "17", - "weight": 1.0 + "weight": 1 } }, { @@ -5987,7 +5975,7 @@ "id": "6d1598f9-4597-4a64-a625-9eb206b38e05", "source": "1", "target": "19", - "weight": 1.0 + "weight": 1 } }, { @@ -5995,7 +5983,7 @@ "id": "87bd8fc5-979d-4238-ab0b-b7e9f168adf3", "source": "1", "target": "21", - "weight": 1.0 + "weight": 1 } }, { @@ -6003,7 +5991,7 @@ "id": "1924a66a-4e50-481f-ac66-b70362c12760", "source": "1", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -6011,7 +5999,7 @@ "id": "2ce06962-01d9-49aa-b0a9-bada37f436f6", "source": "2", "target": "3", - "weight": 1.0 + "weight": 1 } }, { @@ -6019,7 +6007,7 @@ "id": "661b1a9b-0d4e-435e-b78f-e4dfb82eface", "source": "2", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -6027,7 +6015,7 @@ "id": "18b791d0-1476-453c-a5cb-b9acab3bba46", "source": "2", "target": "8", - "weight": 1.0 + "weight": 1 } }, { @@ -6035,7 +6023,7 @@ "id": "3387950a-fb7a-42b5-a61c-97d9f292ac09", "source": "2", "target": "9", - "weight": 1.0 + "weight": 1 } }, { @@ -6043,7 +6031,7 @@ "id": "b4027e1e-bac5-4dfa-93b4-77d763e2799b", "source": "2", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -6051,7 +6039,7 @@ "id": "091b2510-bdb9-4d41-9aa5-6c9710085533", "source": "2", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -6059,7 +6047,7 @@ "id": "9794d554-1358-4fd3-ad8c-101779ae73d0", "source": "2", "target": "28", - "weight": 1.0 + "weight": 1 } }, { @@ -6067,7 +6055,7 @@ "id": "fb094633-d26d-408a-ae8c-417458375e95", "source": "2", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6075,7 +6063,7 @@ "id": "22e8399b-e3d7-4de6-9a45-3479b7031c12", "source": "3", "target": "7", - "weight": 1.0 + "weight": 1 } }, { @@ -6083,7 +6071,7 @@ "id": "fca22c0d-e185-4fb9-9755-3e8e5eb53067", "source": "3", "target": "12", - "weight": 1.0 + "weight": 1 } }, { @@ -6091,7 +6079,7 @@ "id": "b8c864c0-cdb1-42bc-b261-627292219c85", "source": "3", "target": "13", - "weight": 1.0 + "weight": 1 } }, { @@ -6099,7 +6087,7 @@ "id": "a7edd9c3-63c5-4866-9aa1-801204cb2a27", "source": "4", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -6107,7 +6095,7 @@ "id": "72947c3f-64c8-4af8-9842-10a364ec140e", "source": "4", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -6115,7 +6103,7 @@ "id": "3d141097-a979-4d10-aea3-8d6b0d44998b", "source": "5", "target": "6", - "weight": 1.0 + "weight": 1 } }, { @@ -6123,7 +6111,7 @@ "id": "7f1782b6-8764-4ec9-8ec8-9e3dee18f69d", "source": "5", "target": "10", - "weight": 1.0 + "weight": 1 } }, { @@ -6131,7 +6119,7 @@ "id": "97e5cedc-26f5-413c-8be4-9a0fa2cc14e1", "source": "5", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -6139,7 +6127,7 @@ "id": "edf7c579-53e0-48f4-99e5-9db83df3f43e", "source": "6", "target": "16", - "weight": 1.0 + "weight": 1 } }, { @@ -6147,7 +6135,7 @@ "id": "4367b3eb-e57c-4a00-ba06-b09e8c75f07e", "source": "8", "target": "30", - "weight": 1.0 + "weight": 1 } }, { @@ -6155,7 +6143,7 @@ "id": "fee59c2e-f41c-46f4-9831-70659c07f046", "source": "8", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6163,7 +6151,7 @@ "id": "0bd652c9-6cb8-46f4-8109-ce2c0bc32691", "source": "8", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6171,7 +6159,7 @@ "id": "96445dfe-f053-44ab-85c7-ecfb43069157", "source": "9", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6179,7 +6167,7 @@ "id": "5c505b16-e0c3-4f2d-bb94-7c656927dbed", "source": "13", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6187,7 +6175,7 @@ "id": "2fd56502-e084-4f98-aabb-6bd5467607b2", "source": "14", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6195,7 +6183,7 @@ "id": "11afc4cb-ecf8-4705-8fc7-73a4fd32f118", "source": "14", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6203,7 +6191,7 @@ "id": "67d68151-1f57-4fcf-a424-73b49bab2739", "source": "15", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6211,7 +6199,7 @@ "id": "fcb1cc2f-c9f4-4050-8697-6542474eefa8", "source": "15", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6219,7 +6207,7 @@ "id": "6949a0e6-674c-4e7a-a5bb-802b480b6428", "source": "18", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6227,7 +6215,7 @@ "id": "5a8da6e0-7682-4aa9-a2b5-facb5460b1e5", "source": "18", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6235,7 +6223,7 @@ "id": "7107f8fe-8240-44fb-a10e-d43cd8ee6d72", "source": "19", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6243,7 +6231,7 @@ "id": "07ec3c9e-d23d-4547-87dd-b969ed2db746", "source": "20", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6251,7 +6239,7 @@ "id": "63ebd213-5e8f-4106-8799-fee48af0a409", "source": "20", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6259,7 +6247,7 @@ "id": "b9d5fb21-79ad-480d-a735-98170275f89c", "source": "22", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6267,7 +6255,7 @@ "id": "34bd52db-52c2-4a46-88fe-d10020f6980a", "source": "22", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6275,7 +6263,7 @@ "id": "cee6cd3a-8c22-4e79-a199-8666f3736de4", "source": "23", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -6283,7 +6271,7 @@ "id": "6b49e9ca-4a16-46c7-a8c1-7fc70e34b5bf", "source": "23", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -6291,7 +6279,7 @@ "id": "c211366b-7bf9-46c4-b78c-663aa7c29242", "source": "23", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -6299,7 +6287,7 @@ "id": "64abdfa4-29eb-4c79-832c-13b7ae2cadbf", "source": "23", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6307,7 +6295,7 @@ "id": "0b005c48-e639-427f-9c98-c0e3aa1915a6", "source": "23", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6315,7 +6303,7 @@ "id": "ee77dedd-280b-4f82-808b-93d01da14317", "source": "24", "target": "25", - "weight": 1.0 + "weight": 1 } }, { @@ -6323,7 +6311,7 @@ "id": "2ce0e7d3-ee26-48a3-a00f-614dd59fefbe", "source": "24", "target": "27", - "weight": 1.0 + "weight": 1 } }, { @@ -6331,7 +6319,7 @@ "id": "3c7aafdf-e04e-4afd-a637-8d1c618913f4", "source": "24", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -6339,7 +6327,7 @@ "id": "7869ddc3-8ebb-40be-b026-c1f637e8f0ce", "source": "25", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -6347,7 +6335,7 @@ "id": "2e045a4f-e737-453a-8282-9f76f4dd4913", "source": "26", "target": "29", - "weight": 1.0 + "weight": 1 } }, { @@ -6355,7 +6343,7 @@ "id": "eabd5845-3061-4c13-9e7b-72425ca29e08", "source": "26", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6363,7 +6351,7 @@ "id": "108877ef-9ee6-4c19-b90a-abe57bfa72f0", "source": "27", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6371,7 +6359,7 @@ "id": "7f61ac42-3de2-4a11-9419-9ce9656fdd38", "source": "28", "target": "31", - "weight": 1.0 + "weight": 1 } }, { @@ -6379,7 +6367,7 @@ "id": "d7b2cd53-7458-4173-9b3c-81d8f582c046", "source": "28", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6387,7 +6375,7 @@ "id": "96c6a6d7-5171-4f67-ad77-f836649c4e67", "source": "29", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6395,7 +6383,7 @@ "id": "ad775633-de73-4c8d-90f5-17f296f5cfad", "source": "29", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6403,7 +6391,7 @@ "id": "0390aa4d-76b8-4e84-8bcd-0396ed622630", "source": "30", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6411,7 +6399,7 @@ "id": "e34228ad-65e3-4b3b-88c6-256eb709fd5f", "source": "30", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6419,7 +6407,7 @@ "id": "dc075716-e405-45ed-a66f-f20927ddbda7", "source": "31", "target": "32", - "weight": 1.0 + "weight": 1 } }, { @@ -6427,7 +6415,7 @@ "id": "ea4ef7ce-61e9-43e4-b426-4c7ab05c2835", "source": "31", "target": "33", - "weight": 1.0 + "weight": 1 } }, { @@ -6435,7 +6423,7 @@ "id": "f224455f-e2f4-4066-aeba-b964e831a2da", "source": "32", "target": "33", - "weight": 1.0 + "weight": 1 } } ], @@ -6444,238 +6432,238 @@ "data": { "id": "0", "name": "0", - "value": 0.0 + "value": 0 } }, { "data": { "id": "1", "name": "1", - "value": 1.0 + "value": 1 } }, { "data": { "id": "2", "name": "2", - "value": 2.0 + "value": 2 } }, { "data": { "id": "3", "name": "3", - "value": 3.0 + "value": 3 } }, { "data": { "id": "4", "name": "4", - "value": 4.0 + "value": 4 } }, { "data": { "id": "5", "name": "5", - "value": 5.0 + "value": 5 } }, { "data": { "id": "6", "name": "6", - "value": 6.0 + "value": 6 } }, { "data": { "id": "7", "name": "7", - "value": 7.0 + "value": 7 } }, { "data": { "id": "8", "name": "8", - "value": 8.0 + "value": 8 } }, { "data": { "id": "9", "name": "9", - "value": 9.0 + "value": 9 } }, { "data": { "id": "10", "name": "10", - "value": 10.0 + "value": 10 } }, { "data": { "id": "11", "name": "11", - "value": 11.0 + "value": 11 } }, { "data": { "id": "12", "name": "12", - "value": 12.0 + "value": 12 } }, { "data": { "id": "13", "name": "13", - "value": 13.0 + "value": 13 } }, { "data": { "id": "14", "name": "14", - "value": 14.0 + "value": 14 } }, { "data": { "id": "15", "name": "15", - "value": 15.0 + "value": 15 } }, { "data": { "id": "16", "name": "16", - "value": 16.0 + "value": 16 } }, { "data": { "id": "17", "name": "17", - "value": 17.0 + "value": 17 } }, { "data": { "id": "18", "name": "18", - "value": 18.0 + "value": 18 } }, { "data": { "id": "19", "name": "19", - "value": 19.0 + "value": 19 } }, { "data": { "id": "20", "name": "20", - "value": 20.0 + "value": 20 } }, { "data": { "id": "21", "name": "21", - "value": 21.0 + "value": 21 } }, { "data": { "id": "22", "name": "22", - "value": 22.0 + "value": 22 } }, { "data": { "id": "23", "name": "23", - "value": 23.0 + "value": 23 } }, { "data": { "id": "24", "name": "24", - "value": 24.0 + "value": 24 } }, { "data": { "id": "25", "name": "25", - "value": 25.0 + "value": 25 } }, { "data": { "id": "26", "name": "26", - "value": 26.0 + "value": 26 } }, { "data": { "id": "27", "name": "27", - "value": 27.0 + "value": 27 } }, { "data": { "id": "28", "name": "28", - "value": 28.0 + "value": 28 } }, { "data": { "id": "29", "name": "29", - "value": 29.0 + "value": 29 } }, { "data": { "id": "30", "name": "30", - "value": 30.0 + "value": 30 } }, { "data": { "id": "31", "name": "31", - "value": 31.0 + "value": 31 } }, { "data": { "id": "32", "name": "32", - "value": 32.0 + "value": 32 } }, { "data": { "id": "33", "name": "33", - "value": 33.0 + "value": 33 } } ] @@ -6700,8 +6688,8 @@ "state": {} } }, - "version_major": 2.0, - "version_minor": 0.0 + "version_major": 2, + "version_minor": 0 } } }, diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 12a53f28e..7c7b64dec 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -13,24 +13,27 @@ from sknetwork.utils.checks import check_probs, check_format, check_engine, check_random_state, is_square from sknetwork.utils.adjacency_formats import directed2undirected, bipartite2directed from sknetwork.utils.algorithm_base_class import Algorithm +from sknetwork.clustering.postprocessing import reindex_clusters from sknetwork import njit def membership_matrix(labels: np.ndarray) -> sparse.csr_matrix: - """Builds a n x k matrix whose lines are one-hot vectors representing the cluster assignments of the samples. + """ + Builds a n x k matrix of the label assignments. Parameters ---------- labels: - partition of the samples. + label of each node. Returns ------- - membership: sparse.csr_matrix + membership: + binary matrix of label assignments. """ - n_samp = len(labels) - return sparse.csr_matrix((np.ones(n_samp), (np.arange(n_samp), labels))) + n_nodes = len(labels) + return sparse.csr_matrix((np.ones(n_nodes), (np.arange(n_nodes), labels))) class NormalizedGraph: @@ -39,9 +42,9 @@ class NormalizedGraph: Parameters ---------- - adjacency : + adjacency: Adjacency matrix of the graph. - weights : + weights: Distribution of node weights (sums to 1), used in the second term of modularity. Attributes @@ -50,7 +53,7 @@ class NormalizedGraph: Number of nodes. norm_adjacency: sparse.csr_matrix Normalized adjacency matrix (sums to 1). - node_probs : np.ndarray + node_probs: np.ndarray Distribution of node weights (sums to 1). """ @@ -77,7 +80,7 @@ def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], Returns ------- - The aggregated graph + The aggregated graph. """ if membership.shape[0] != self.n_nodes: raise ValueError('The size of the partition must match the number of nodes.') @@ -106,7 +109,8 @@ def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], class Optimizer(Algorithm): - """A generic optimization algorithm. + """ + A generic optimization algorithm. Attributes ---------- @@ -165,9 +169,9 @@ def fit_core(resolution: float, tol: float, n_nodes: int, ou_node_probs: np.ndar Returns ------- labels: - Cluster index of each node + Cluster index of each node. total_increase: - Score of the clustering (total increase in modularity) + Score of the clustering (total increase in modularity). """ increase: bool = True total_increase: float = 0 @@ -254,7 +258,7 @@ def fit(self, graph: NormalizedGraph): Parameters ---------- graph: - the graph to cluster + The graph to cluster. Returns ------- @@ -347,18 +351,24 @@ def fit(self, graph: NormalizedGraph): class Louvain(Algorithm): - """Louvain algorithm for graph clustering in Python (default) and Numba. + """ + Louvain algorithm for graph clustering in Python (default) and Numba. - Seek the best partition of the nodes with respect to its modularity by performing local updates in a greedy fashion. - The modularity of a partition is + Seeks the best partition of the nodes with respect to modularity by local updates of the clustering. - :math:`Q = \\sum_{ij}\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2}\\big)\\delta_{ij}`, + For undirected graphs, the modularity of a clustering is + + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2}\\big)\\delta_{c_i,c_j}`, where - :math:`\\gamma \\ge 0` is a resolution parameter - :math:`\\delta_{ij} = 1` if nodes :math:`i` and :math:`j` - belong to the same cluster and :math:`\\delta_{ij} = 0` otherwise. + :math:`\\gamma \\ge 0` is a resolution parameter, + :math:`c_i` is the cluster of node `i` + :math:`\\delta` is the Kronecker symbol. + + For directed graphs, the modularity of a clustering is modified as follows: + + :math:`Q = \\sum_{i,j}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d^+_id^-_j}{w^2}\\big)\\delta_{c_i,c_j}`. Parameters @@ -505,6 +515,6 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd reverse[nodes] = np.arange(nodes.size) self.labels_ = self.labels_[reverse] self.n_clusters_ = len(set(self.labels_)) - _, self.labels_ = np.unique(self.labels_, return_inverse=True) + self.labels_ = reindex_clusters(self.labels_) self.aggregate_graph_ = graph.norm_adjacency * adjacency.data.sum() return self diff --git a/sknetwork/clustering/postprocessing.py b/sknetwork/clustering/postprocessing.py new file mode 100644 index 000000000..713d8a1a1 --- /dev/null +++ b/sknetwork/clustering/postprocessing.py @@ -0,0 +1,30 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Created on July 10, 2019 +@author: Thomas Bonald +""" + +import numpy as np + + +def reindex_clusters(labels: np.ndarray) -> np.ndarray: + """ + Reindex clusters in decreasing order of size. + + Parameters + ---------- + labels: + label of each node. + + Returns + ------- + new_labels: + new label of each node. + + """ + unique_values, counts = np.unique(labels, return_counts=True) + sorted_values = unique_values[np.argsort(-counts)] + new_index = {l: i for i, l in enumerate(sorted_values)} + new_labels = np.array([new_index[l] for l in labels]) + return new_labels From 9e0ef2d1e06e001c8592115670003f881d07b2c4 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Wed, 10 Jul 2019 11:58:37 +0200 Subject: [PATCH 22/92] Linalg SVD solvers and related tests --- sknetwork/linalg/__init__.py | 1 + sknetwork/linalg/sparse_lowrank.py | 3 + sknetwork/linalg/svd.py | 171 ++++++++++++++++++ .../tests/{test_solvers.py => test_eig.py} | 25 ++- sknetwork/linalg/tests/test_svd.py | 44 +++++ 5 files changed, 243 insertions(+), 1 deletion(-) create mode 100644 sknetwork/linalg/svd.py rename sknetwork/linalg/tests/{test_solvers.py => test_eig.py} (57%) create mode 100644 sknetwork/linalg/tests/test_svd.py diff --git a/sknetwork/linalg/__init__.py b/sknetwork/linalg/__init__.py index 68951204b..b1d84065b 100644 --- a/sknetwork/linalg/__init__.py +++ b/sknetwork/linalg/__init__.py @@ -2,5 +2,6 @@ from sknetwork.linalg.sparse_lowrank import SparseLR from sknetwork.linalg.auto_mode import auto_solver from sknetwork.linalg.eig import EigSolver, LanczosEig, HalkoEig +from sknetwork.linalg.svd import SVDSolver, LanczosSVD, HalkoSVD from sknetwork.linalg.randomized_matrix_factorization import safe_sparse_dot, randomized_eig, randomized_svd diff --git a/sknetwork/linalg/sparse_lowrank.py b/sknetwork/linalg/sparse_lowrank.py index d7734079e..ecc8bc7ca 100644 --- a/sknetwork/linalg/sparse_lowrank.py +++ b/sknetwork/linalg/sparse_lowrank.py @@ -82,6 +82,9 @@ def _transpose(self): transposed_tuples = [(y, x) for (x, y) in self.low_rank_tuples] return SparseLR(transposed_sparse, transposed_tuples) + def _adjoint(self): + return self.transpose() + def left_sparse_dot(self, matrix): """Left dot product with a sparse matrix diff --git a/sknetwork/linalg/svd.py b/sknetwork/linalg/svd.py new file mode 100644 index 000000000..ccca937b3 --- /dev/null +++ b/sknetwork/linalg/svd.py @@ -0,0 +1,171 @@ +#!/usr/bin/env python3 +# coding: utf-8 +""" +Created on July 10 2019 + +Authors: +Nathan De Lara +""" +import numpy as np +from scipy import sparse +from scipy.sparse.linalg import svds +from sknetwork.utils.algorithm_base_class import Algorithm +from sknetwork.linalg import SparseLR +from sknetwork.linalg.randomized_matrix_factorization import randomized_svd +from typing import Union + + +class SVDSolver(Algorithm): + """ + A generic class for SVD-solvers. + + Attributes + ---------- + left_singular_vectors_: np.ndarray + Two-dimensional array, each column is a left singular vector of the input. + right_singular_vectors_: np.ndarray + Two-dimensional array, each column is a right singular vector of the input. + singular_values_: np.ndarray + Singular values. + """ + + def __init__(self): + self.left_singular_vectors_ = None + self.right_singular_vectors_ = None + self.singular_values_ = None + + def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator, SparseLR], n_components: int): + """Perform singular value decomposition on input matrix. + + Parameters + ---------- + matrix: + Matrix to decompose. + n_components + Number of singular values to compute + + Returns + ------- + self: :class:`SVDSolver` + + """ + return self + + +class LanczosSVD(SVDSolver): + """ + An SVD solver using Lanczos method on AA^T or A^TA. + + Attributes + ---------- + left_singular_vectors_: np.ndarray + Two-dimensional array, each column is a left singular vector of the input. + right_singular_vectors_: np.ndarray + Two-dimensional array, each column is a right singular vector of the input. + singular_values_: np.ndarray + Singular values. + + See Also + -------- + scipy.sparse.linalg.svds + + """ + + def __init__(self): + SVDSolver.__init__(self) + + def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator], n_components: int): + """Perform singular value decomposition on input matrix. + + Parameters + ---------- + matrix: + Matrix to decompose. + n_components + Number of singular values to compute + + Returns + ------- + self: :class:`SVDSolver` + + """ + u, s, vt = svds(matrix.astype(np.float), n_components) + self.left_singular_vectors_ = u + self.right_singular_vectors_ = vt.T + self.singular_values_ = s + + return self + + +class HalkoSVD(SVDSolver): + """ + An SVD solver using Halko's randomized method. + + Parameters + ---------- + n_oversamples : int (default=10) + Additional number of random vectors to sample the range of M so as + to ensure proper conditioning. The total number of random vectors + used to find the range of M is embedding_dimension + n_oversamples. Smaller + number can improve speed but can negatively impact the quality of + approximation of singular vectors and singular values. + n_iter : int or 'auto' (default is 'auto') + See :meth:`randomized_range_finder` + power_iteration_normalizer : ``'auto'`` (default), ``'QR'``, ``'LU'``, ``None`` + See :meth:`randomized_range_finder` + transpose : True, False or 'auto' (default) + Whether the algorithm should be applied to ``matrix.T`` instead of ``matrix``. The + result should approximately be the same. The 'auto' mode will + trigger the transposition if ``matrix.shape[1] > matrix.shape[0]`` since this + implementation of randomized SVD tends to be a little faster in that case. + flip_sign : boolean, (default=True) + The output of a singular value decomposition is only unique up to a + permutation of the signs of the singular vectors. If `flip_sign` is + set to `True`, the sign ambiguity is resolved by making the largest + loadings for each component in the left singular vectors positive. + random_state : int, RandomState instance or None, optional (default=None) + See :meth:`randomized_range_finder` + + Attributes + ---------- + left_singular_vectors_: np.ndarray + Two-dimensional array, each column is a left singular vector of the input. + right_singular_vectors_: np.ndarray + Two-dimensional array, each column is a right singular vector of the input. + singular_values_: np.ndarray + Singular values. + + """ + + def __init__(self, n_oversamples: int = 10, n_iter='auto', transpose='auto', + power_iteration_normalizer: Union[str, None] = 'auto', flip_sign: bool = True, random_state=None): + SVDSolver.__init__(self) + self.n_oversamples = n_oversamples + self.n_iter = n_iter + self.transpose = transpose + self.power_iteration_normalizer = power_iteration_normalizer + self.flip_sign = flip_sign + self.random_state = random_state + + def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator, SparseLR], n_components: int): + """Perform singular value decomposition on input matrix. + + Parameters + ---------- + matrix: + Matrix to decompose. + n_components + Number of singular values to compute + + Returns + ------- + self: :class:`SVDSolver` + + """ + u, s, vt = randomized_svd(matrix, n_components, self.n_oversamples, self.n_iter, self.transpose, + self.power_iteration_normalizer, self.flip_sign, self.random_state) + self.left_singular_vectors_ = u + self.right_singular_vectors_ = vt.T + self.singular_values_ = s + + return self diff --git a/sknetwork/linalg/tests/test_solvers.py b/sknetwork/linalg/tests/test_eig.py similarity index 57% rename from sknetwork/linalg/tests/test_solvers.py rename to sknetwork/linalg/tests/test_eig.py index ba02cbf5e..48f6f819e 100644 --- a/sknetwork/linalg/tests/test_solvers.py +++ b/sknetwork/linalg/tests/test_eig.py @@ -1,6 +1,6 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- -"""tests for randomized matrix factorization""" +"""tests for eig""" import unittest import numpy as np @@ -38,3 +38,26 @@ def test_halko(self): solver = HalkoEig('SM') solver.fit(self.adjacency, 2) self.assertEqual(len(solver.eigenvalues_), 2) + + def compare_solvers(self): + lanczos = LanczosEig('LM') + halko = HalkoEig('LM') + + lanczos.fit(self.adjacency, 2) + halko.fit(self.adjacency, 2) + self.assertAlmostEqual(np.linalg.norm(lanczos.eigenvalues_ - halko.eigenvalues_), 0.) + + lanczos.fit(self.slr, 2) + halko.fit(self.slr, 2) + self.assertAlmostEqual(np.linalg.norm(lanczos.eigenvalues_ - halko.eigenvalues_), 0.) + + lanczos = LanczosEig('SM') + halko = HalkoEig('SM') + + lanczos.fit(self.adjacency, 2) + halko.fit(self.adjacency, 2) + self.assertAlmostEqual(np.linalg.norm(lanczos.eigenvalues_ - halko.eigenvalues_), 0.) + + lanczos.fit(self.slr, 2) + halko.fit(self.slr, 2) + self.assertAlmostEqual(np.linalg.norm(lanczos.eigenvalues_ - halko.eigenvalues_), 0.) diff --git a/sknetwork/linalg/tests/test_svd.py b/sknetwork/linalg/tests/test_svd.py new file mode 100644 index 000000000..7a5157e8e --- /dev/null +++ b/sknetwork/linalg/tests/test_svd.py @@ -0,0 +1,44 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +"""tests for svd""" + +import unittest +import numpy as np +from sknetwork.linalg import LanczosSVD, HalkoSVD, SparseLR +from sknetwork.toy_graphs import movie_actor_graph + + +class TestSolvers(unittest.TestCase): + + def setUp(self): + self.biadjacency = movie_actor_graph() + n, m = self.biadjacency.shape + self.slr = SparseLR(self.biadjacency, [(np.ones(n), np.ones(m))]) + + def test_lanczos(self): + solver = LanczosSVD() + solver.fit(self.biadjacency, 2) + self.assertEqual(len(solver.singular_values_), 2) + + solver.fit(self.slr, 2) + self.assertEqual(len(solver.singular_values_), 2) + + def test_halko(self): + solver = HalkoSVD() + solver.fit(self.biadjacency, 2) + self.assertEqual(len(solver.singular_values_), 2) + + solver.fit(self.slr, 2) + self.assertEqual(len(solver.singular_values_), 2) + + def compare_solvers(self): + lanczos = LanczosSVD() + halko = HalkoSVD() + + lanczos.fit(self.biadjacency, 2) + halko.fit(self.biadjacency, 2) + self.assertAlmostEqual(np.linalg.norm(lanczos.singular_values_ - halko.singular_values_), 0.) + + lanczos.fit(self.slr, 2) + halko.fit(self.slr, 2) + self.assertAlmostEqual(np.linalg.norm(lanczos.singular_values_ - halko.singular_values_), 0.) From 1b9ca70d7adcda2db48f8698d44b8fcda3df3a14 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Wed, 10 Jul 2019 13:19:42 +0200 Subject: [PATCH 23/92] Docs svd --- docs/reference/linalg.rst | 6 ++++++ sknetwork/linalg/svd.py | 8 ++------ 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/docs/reference/linalg.rst b/docs/reference/linalg.rst index 40329a49a..8ab9abe6e 100644 --- a/docs/reference/linalg.rst +++ b/docs/reference/linalg.rst @@ -22,6 +22,12 @@ Solvers .. autoclass:: sknetwork.linalg.HalkoEig :members: +.. autoclass:: sknetwork.linalg.LanczosSVD + :members: + +.. autoclass:: sknetwork.linalg.HalkoSVD + :members: + Randomized methods ------------------ diff --git a/sknetwork/linalg/svd.py b/sknetwork/linalg/svd.py index ccca937b3..057b6c6c6 100644 --- a/sknetwork/linalg/svd.py +++ b/sknetwork/linalg/svd.py @@ -47,14 +47,13 @@ def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator, Spa Returns ------- self: :class:`SVDSolver` - """ return self class LanczosSVD(SVDSolver): """ - An SVD solver using Lanczos method on AA^T or A^TA. + An SVD solver using Lanczos method on :math:`AA^T` or :math:`A^TA`. Attributes ---------- @@ -68,7 +67,6 @@ class LanczosSVD(SVDSolver): See Also -------- scipy.sparse.linalg.svds - """ def __init__(self): @@ -87,7 +85,6 @@ def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator], n_ Returns ------- self: :class:`SVDSolver` - """ u, s, vt = svds(matrix.astype(np.float), n_components) self.left_singular_vectors_ = u @@ -103,7 +100,7 @@ class HalkoSVD(SVDSolver): Parameters ---------- - n_oversamples : int (default=10) + n_oversamples : int (default=10) Additional number of random vectors to sample the range of M so as to ensure proper conditioning. The total number of random vectors used to find the range of M is embedding_dimension + n_oversamples. Smaller @@ -134,7 +131,6 @@ class HalkoSVD(SVDSolver): Two-dimensional array, each column is a right singular vector of the input. singular_values_: np.ndarray Singular values. - """ def __init__(self, n_oversamples: int = 10, n_iter='auto', transpose='auto', From 2a8807543cdd36ea08f26d40917b96bfddad2e2f Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Wed, 10 Jul 2019 13:33:24 +0200 Subject: [PATCH 24/92] GSVD link with SVDSolver --- sknetwork/embedding/gsvd.py | 40 ++++++++++++++++--------- sknetwork/utils/algorithm_base_class.py | 6 +++- 2 files changed, 31 insertions(+), 15 deletions(-) diff --git a/sknetwork/embedding/gsvd.py b/sknetwork/embedding/gsvd.py index f907249f3..1a829570a 100755 --- a/sknetwork/embedding/gsvd.py +++ b/sknetwork/embedding/gsvd.py @@ -6,11 +6,11 @@ """ import numpy as np -from scipy import sparse, linalg +from scipy import sparse from sknetwork.linalg import SparseLR from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork.utils.checks import check_format, check_weights -from sknetwork.linalg.randomized_matrix_factorization import randomized_svd, safe_sparse_dot +from sknetwork.linalg import SVDSolver, HalkoSVD, LanczosSVD, auto_solver, safe_sparse_dot from typing import Union @@ -46,8 +46,7 @@ class GSVD(Algorithm): >>> graph = movie_actor_graph() >>> gsvd = GSVD(embedding_dimension=2) >>> gsvd.fit(graph) - GSVD(embedding_dimension=2, weights='degree', regularization=0.01, energy_scaling=True,\ - randomized_decomposition=True) + GSVD(embedding_dimension=2, weights='degree', regularization=0.01, energy_scaling=True, solver=LanczosSVD()) >>> gsvd.embedding_.shape (15, 2) @@ -59,12 +58,17 @@ class GSVD(Algorithm): """ def __init__(self, embedding_dimension=2, weights='degree', regularization: Union[None, float] = 0.01, - energy_scaling: bool = True, randomized_decomposition: bool = True): + energy_scaling: bool = True, solver: Union[str, SVDSolver] = 'auto'): self.embedding_dimension = embedding_dimension self.weights = weights self.regularization = regularization self.energy_scaling = energy_scaling - self.randomized_decomposition = randomized_decomposition + if solver == 'halko': + self.solver: SVDSolver = HalkoSVD() + elif solver == 'lanczos': + self.solver: SVDSolver = LanczosSVD() + else: + self.solver = solver self.embedding_ = None self.features_ = None @@ -85,6 +89,14 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'GSVD': """ adjacency = check_format(adjacency) n_nodes, m_nodes = adjacency.shape + + if self.solver == 'auto': + solver = auto_solver(adjacency.nnz) + if solver == 'lanczos': + self.solver: SVDSolver = LanczosSVD() + else: + self.solver: SVDSolver = HalkoSVD() + if self.regularization: adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n_nodes), np.ones(m_nodes))]) total_weight = adjacency.dot(np.ones(m_nodes)).sum() @@ -101,17 +113,17 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'GSVD': normalized_adj = safe_sparse_dot(diag_samp, safe_sparse_dot(adjacency, diag_feat)) - if self.randomized_decomposition: - u, sigma, vt = randomized_svd(normalized_adj, self.embedding_dimension) - else: - u, sigma, vt = linalg.svds(normalized_adj, self.embedding_dimension) + self.solver.fit(normalized_adj, self.embedding_dimension) + + self.singular_values_ = self.solver.singular_values_ + self.embedding_ = np.sqrt(total_weight) * diag_samp.dot(self.solver.left_singular_vectors_) + self.features_ = np.sqrt(total_weight) * diag_feat.dot(self.solver.right_singular_vectors_) - self.singular_values_ = sigma - self.embedding_ = np.sqrt(total_weight) * diag_samp.dot(u) * sigma - self.features_ = np.sqrt(total_weight) * diag_feat.dot(vt.T) + # rescale to get barycenter property + self.embedding_ *= self.singular_values_ if self.energy_scaling and self.weights == 'degree': - energy_levels: np.ndarray = np.sqrt(1 - np.clip(sigma, 0, 1) ** 2) + energy_levels: np.ndarray = np.sqrt(1 - np.clip(self.singular_values_, 0, 1) ** 2) energy_levels[energy_levels > 0] = 1 / energy_levels[energy_levels > 0] self.embedding_ *= energy_levels self.features_ *= energy_levels diff --git a/sknetwork/utils/algorithm_base_class.py b/sknetwork/utils/algorithm_base_class.py index e8caf9c29..1090e2207 100644 --- a/sknetwork/utils/algorithm_base_class.py +++ b/sknetwork/utils/algorithm_base_class.py @@ -28,4 +28,8 @@ def __repr__(self): else: val = str(val) output += p + '=' + val + ', ' - return output[:-2] + ')' + + if arguments: + return output[:-2] + ')' + else: + return output + ')' From 8cbdc72bde732f2287d184f36190e7f13a0d0d4f Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 10 Jul 2019 14:30:02 +0200 Subject: [PATCH 25/92] Improved front page for docs --- docs/conf.py | 8 +++++--- docs/index.rst | 33 ++++++++++++++++++++------------- docs/tutorials/index.rst | 9 --------- sknetwork/ranking/pagerank.py | 13 +++++++------ 4 files changed, 32 insertions(+), 31 deletions(-) delete mode 100644 docs/tutorials/index.rst diff --git a/docs/conf.py b/docs/conf.py index f47c2de37..2bd6838c6 100755 --- a/docs/conf.py +++ b/docs/conf.py @@ -20,10 +20,9 @@ # import os import sys -sys.path.insert(0, os.path.abspath('..')) - import sknetwork +sys.path.insert(0, os.path.abspath('..')) # -- General configuration --------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. @@ -90,13 +89,16 @@ # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = False - # -- Options for HTML output ------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'sphinx_rtd_theme' +html_logo = '../images/logo_sknetwork.png' +html_theme_options = { + 'logo_only': True +} # Theme options are theme-specific and customize the look and feel of a # theme further. For a list of options available for each theme, see the diff --git a/docs/index.rst b/docs/index.rst index 107ea3859..c85be304f 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,25 +1,32 @@ -.. figure:: ../images/logo_sknetwork.png - :align: right - :width: 200px - :alt: logo sknetwork - Welcome to scikit-network's documentation! ========================================== +.. include:: readme.rst + .. toctree:: :maxdepth: 2 - :caption: Contents: + :caption: Installation & Reference: - readme installation reference/index - tutorials/index + + +.. toctree:: + :maxdepth: 2 + :caption: Tutorials: + + tutorials/clustering_Louvain + tutorials/pagerank + + +.. toctree:: + :maxdepth: 1 + :caption: About: + contributing authors history -Indices and tables -================== -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` + + +:ref:`genindex` diff --git a/docs/tutorials/index.rst b/docs/tutorials/index.rst deleted file mode 100644 index b3330cb6c..000000000 --- a/docs/tutorials/index.rst +++ /dev/null @@ -1,9 +0,0 @@ -.. _tutorials: - -Tutorials -********* - -.. toctree:: - - clustering_Louvain - pagerank diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 2d1bbc23b..1a1e4719d 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -20,15 +20,16 @@ def diffusion(indptr, indices, data, flow_history, current_flow, damping_factor) Parameters ---------- - indptr - indices - data + indptr: + CSR format index pointer array of the normalized adjacency matrix. + indices: + CSR format index array of the normalized adjacency matrix. + data: + CSR format data array of the normalized adjacency matrix. flow_history current_flow damping_factor - - Returns - ------- + Damping factor for D-iteration """ active = np.nonzero(current_flow)[0] From bb215b450f0afdab60a580abda1f09ef4df3d7d4 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 14:30:38 +0200 Subject: [PATCH 26/92] Default clustering in Louvain / BiLouvain --- docs/reference/introduction.rst | 6 ++-- sknetwork/clustering/bilouvain.py | 38 +++++++++++++++----- sknetwork/clustering/louvain.py | 41 ++++++++++++---------- sknetwork/utils/adjacency_formats.py | 52 ++++++++++++++++++++++------ 4 files changed, 97 insertions(+), 40 deletions(-) diff --git a/docs/reference/introduction.rst b/docs/reference/introduction.rst index 15230cb8e..c459486d3 100644 --- a/docs/reference/introduction.rst +++ b/docs/reference/introduction.rst @@ -53,9 +53,9 @@ Directed graphs Bipartite graphs ^^^^^^^^^^^^^^^^ -* :math:`B` denotes the biadjacency matrix of the graph (dimension :math:`n\times p`); rows and columns are viewed as items and features -* :math:`d = B1` is the vector of item weights -* :math:`D = \text{diag}(d)` is the diagonal matrix of item weights +* :math:`B` denotes the biadjacency matrix of the graph (dimension :math:`n\times p`); rows and columns are viewed as samples and features +* :math:`d = B1` is the vector of sample weights +* :math:`D = \text{diag}(d)` is the diagonal matrix of sample weights * :math:`f = B^T1` is the vector of feature weights * :math:`F = \text{diag}(f)` the diagonal matrix of feature weights * :math:`w = 1^T B1` is the total weight of the graph (total weight of edges) diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index fe15256bb..22de75a04 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -6,7 +6,7 @@ """ from sknetwork.clustering.louvain import * -from sknetwork.utils.adjacency_formats import bipartite2undirected +from sknetwork.utils.adjacency_formats import bipartite2undirected, bipartite2directed from sknetwork.utils.checks import * from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork import njit, prange @@ -90,7 +90,23 @@ def local_updates(nodes, node_probs, indptr, indices, data, labels, source_clust class BiLouvain(Algorithm): """ - BiLouvain algorithm for graph clustering in Python (default) and Numba. + BiLouvain algorithm for the co-clustering of bipartite graphs in Python (default) and Numba. + + Seeks the best partition of the nodes with respect to bimodularity. + + The bimodularity of a clustering is + + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{B_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2}\\big)\\delta_{c^d_i,c^f_j}`, + + where + + :math:`\\gamma \\ge 0` is a resolution parameter,\n + :math:`c^d_i` is the cluster of sample node `i` (rows of the biadjacency matrix),\n + :math:`c^f_j` is the cluster of feature node `j` (columns of the biadjacency matrix),\n + :math:`\\delta` is the Kronecker symbol. + + The ```as_undirected``` parameter of the fit method allows one to cluster the graph as undirected, + without considering the bipartite structure of the graph. Parameters ---------- @@ -112,9 +128,9 @@ class BiLouvain(Algorithm): Attributes ---------- labels_: np.ndarray - Cluster index of each node in V1. + Cluster index of each sample node (rows). feature_labels_: np.ndarray - Cluster index of each node in V2. + Cluster index of each feature node (columns). iteration_count_: int Total number of aggregations performed. aggregate_graph_: sparse.csr_matrix @@ -143,17 +159,20 @@ def __init__(self, resolution: float = 1, tol: float = 1e-3, agg_tol: float = 1e self.n_clusters_ = None def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] = 'degree', - feature_weights: Union['str', np.ndarray] = 'degree'): - """Alternates local optimization and aggregation until convergence. + feature_weights: Union['str', np.ndarray] = 'degree', as_undirected: bool = False): + """ + Alternates local optimization and aggregation until convergence. Parameters ---------- biadjacency: - adjacency matrix of the graph to cluster, treated as a biadjacency matrix + Biadjacency matrix of the graph to cluster. weights: Probabilities for the samples in the null model. ``'degree'``, ``'uniform'`` or custom weights. feature_weights: Probabilities for the features in the null model. ``'degree'``, ``'uniform'`` or custom weights. + as_undirected: + If True, maximizes the modularity of the undirected graph instead of the bimodularity. Returns ------- @@ -164,7 +183,10 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] samp_weights = np.hstack((check_probs(weights, biadjacency), np.zeros(n_feat))) feat_weights = np.hstack((np.zeros(n_samp), check_probs(feature_weights, biadjacency.T))) - graph = NormalizedGraph(bipartite2undirected(biadjacency), samp_weights, feat_weights) + if as_undirected: + graph = AggregateGraph(bipartite2undirected(biadjacency), samp_weights, feat_weights) + else: + graph = AggregateGraph(bipartite2directed(biadjacency), samp_weights, feat_weights) iteration_count: int = 0 if self.verbose: diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 7c7b64dec..f4a070c66 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -11,7 +11,7 @@ from scipy import sparse from typing import Union, Optional from sknetwork.utils.checks import check_probs, check_format, check_engine, check_random_state, is_square -from sknetwork.utils.adjacency_formats import directed2undirected, bipartite2directed +from sknetwork.utils.adjacency_formats import directed2undirected from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork.clustering.postprocessing import reindex_clusters from sknetwork import njit @@ -36,7 +36,7 @@ def membership_matrix(labels: np.ndarray) -> sparse.csr_matrix: return sparse.csr_matrix((np.ones(n_nodes), (np.arange(n_nodes), labels))) -class NormalizedGraph: +class AggregateGraph: """ A class of graphs suitable for the Louvain algorithm. Each node represents a cluster. @@ -69,7 +69,8 @@ def __init__(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], feat_membership: Union[None, sparse.csr_matrix, np.ndarray] = None): - """Aggregates nodes belonging to the same cluster. + """ + Aggregates nodes belonging to the same cluster. Parameters ---------- @@ -123,8 +124,9 @@ def __init__(self): self.score_ = None self.labels_ = None - def fit(self, graph: NormalizedGraph): - """Fit the clusters to the objective function. + def fit(self, graph: AggregateGraph): + """ + Fits the clusters to the objective function. Parameters ---------- @@ -144,6 +146,7 @@ def fit_core(resolution: float, tol: float, n_nodes: int, ou_node_probs: np.ndar in_node_probs: np.ndarray, self_loops: np.ndarray, data: np.ndarray, indices: np.ndarray, indptr: np.ndarray) -> (np.ndarray, float): """ + Fits the clusters to the objective function. Parameters ---------- @@ -238,9 +241,9 @@ class GreedyModularity(Optimizer): Attributes ---------- resolution: - modularity resolution + Modularity resolution. tol: - minimum bimodularity increase to enter a new optimization pass + Minimum modularity increase to enter a new optimization pass. engine: str ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, it will tests if numba is available. @@ -252,8 +255,9 @@ def __init__(self, resolution: float = 1, tol: float = 1e-3, engine: str = 'defa self.tol = tol self.engine = check_engine(engine) - def fit(self, graph: NormalizedGraph): - """Iterates over the nodes of the graph and moves them to the cluster of highest increase among their neighbors. + def fit(self, graph: AggregateGraph): + """ + Iterates over the nodes of the graph and moves them to the cluster of highest increase among their neighbors. Parameters ---------- @@ -354,7 +358,7 @@ class Louvain(Algorithm): """ Louvain algorithm for graph clustering in Python (default) and Numba. - Seeks the best partition of the nodes with respect to modularity by local updates of the clustering. + Seeks the best partition of the nodes with respect to modularity. For undirected graphs, the modularity of a clustering is @@ -362,13 +366,13 @@ class Louvain(Algorithm): where - :math:`\\gamma \\ge 0` is a resolution parameter, - :math:`c_i` is the cluster of node `i` + :math:`\\gamma \\ge 0` is a resolution parameter,\n + :math:`c_i` is the cluster of node `i`\n :math:`\\delta` is the Kronecker symbol. For directed graphs, the modularity of a clustering is modified as follows: - :math:`Q = \\sum_{i,j}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d^+_id^-_j}{w^2}\\big)\\delta_{c_i,c_j}`. + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d^+_id^-_j}{w^2}\\big)\\delta_{c_i,c_j}`. Parameters @@ -409,8 +413,8 @@ class Louvain(Algorithm): Example ------- >>> louvain = Louvain(GreedyModularity(engine='python')) - >>> graph = sparse.identity(3, format='csr') - >>> louvain.fit(graph) + >>> adjacency = sparse.identity(3, format='csr') + >>> louvain.fit(adjacency) Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), agg_tol=0.001, max_agg_iter=-1, \ shuffle_nodes=False, verbose=False) >>> louvain.labels_ @@ -455,7 +459,8 @@ def __init__(self, algorithm: Union[str, Optimizer] = 'default', resolution: flo def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', feature_weights: Union[None, str, np.ndarray] = None) -> 'Louvain': - """Clustering using chosen Optimizer. + """ + Clustering using chosen Optimizer. Parameters ---------- @@ -474,14 +479,14 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd adjacency = check_format(adjacency) if not is_square(adjacency): - adjacency = bipartite2directed(adjacency) + raise TypeError('The adjacency matrix must be a square matrix. See Bilouvain for rectangular matrices.') nodes = np.arange(adjacency.shape[0]) if self.shuffle_nodes: nodes = self.random_state.permutation(nodes) adjacency = adjacency[nodes, :].tocsc()[:, nodes].tocsr() - graph = NormalizedGraph(adjacency, weights, feature_weights) + graph = AggregateGraph(adjacency, weights, feature_weights) membership = sparse.identity(graph.n_nodes, format='csr') increase = True diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index cfc7bd89b..e0b7cd0d2 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -12,43 +12,65 @@ def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], - weighted: bool = True) -> Union[sparse.csr_matrix, SparseLR]: + weight_sum: bool = True) -> Union[sparse.csr_matrix, SparseLR]: """ + Returns the adjacency matrix of the undirected graph. + + The entry :math:`i,j` of the new matrix becomes either: + + :math:`A_{ij} + A_{ji}` (default) + + or + + :math:`\\max(A_{ij},A_{ji})` + + If the initial adjacency matrix :math:`A` is binary, bidirectional edges have eight weight 2 + (first method, default) or 1 (second method). Parameters ---------- - adjacency - weighted + adjacency: + Adjacency matrix. + weight_sum: + If True, return the sum of the weights in both directions of each edge. Returns ------- - + New adjacency matrix (symmetric). """ if type(adjacency) == sparse.csr_matrix: - if weighted: + if weight_sum: return sparse.csr_matrix(adjacency + adjacency.T) else: return adjacency.maximum(adjacency.T) elif type(adjacency) == SparseLR: - if weighted: + if weight_sum: new_tuples = [(y, x) for (x, y) in adjacency.low_rank_tuples] return SparseLR(directed2undirected(adjacency.sparse_mat), adjacency.low_rank_tuples + new_tuples) else: - raise ValueError('This function only works with ``weighted==True`` for SparseLR objects.') + raise ValueError('This function only works with ``weight_sum==True`` for SparseLR objects.') else: raise TypeError('Input must be a scipy CSR matrix or a SparseLR object.') def bipartite2directed(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union[sparse.csr_matrix, SparseLR]: """ + Returns the adjacency matrix of a bipartite graph seen as a directed graph (with edges from one part to the other). + + The returned adjacency matrix is: + + :math:`A = \\begin{bmatrix} 0 & B \\\ 0 & 0 \\end{bmatrix}` + + where :math:`B` is the biadjacency matrix of the bipartite graph. Parameters ---------- - biadjacency + biadjacency: + Biadjacency matrix of the bipartite graph. Returns ------- - + Adjacency matrix. """ n, m = biadjacency.shape if type(biadjacency) == sparse.csr_matrix: @@ -63,14 +85,22 @@ def bipartite2directed(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union def bipartite2undirected(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union[sparse.csr_matrix, SparseLR]: """ + Returns the adjacency matrix of a bipartite graph defined by its biadjacency matrix. + + The returned adjacency matrix is: + + :math:`A = \\begin{bmatrix} 0 & B \\\ B^T & 0 \\end{bmatrix}` + + where :math:`B` is the biadjacency matrix of the bipartite graph. Parameters ---------- - biadjacency + biadjacency: + Biadjacency matrix of the bipartite graph. Returns ------- - + Adjacency matrix (symmetric). """ if type(biadjacency) == sparse.csr_matrix: return sparse.bmat([[None, biadjacency], [biadjacency.T, None]], format='csr') From ed9459c0702fb4a58ef405f7585c7ccd56a8c6dc Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 14:46:40 +0200 Subject: [PATCH 27/92] Specify the imports --- sknetwork/clustering/__init__.py | 7 +- sknetwork/clustering/bilouvain.py | 18 ++-- sknetwork/clustering/metrics.py | 103 +++------------------ sknetwork/clustering/tests/test_louvain.py | 5 +- sknetwork/clustering/tests/test_metrics.py | 10 +- 5 files changed, 33 insertions(+), 110 deletions(-) diff --git a/sknetwork/clustering/__init__.py b/sknetwork/clustering/__init__.py index 422a59ca1..a3fea5ac0 100644 --- a/sknetwork/clustering/__init__.py +++ b/sknetwork/clustering/__init__.py @@ -1,3 +1,4 @@ -from sknetwork.clustering.louvain import * -from sknetwork.clustering.bilouvain import * -from sknetwork.clustering.metrics import * +from sknetwork.clustering.louvain import Louvain, GreedyModularity +from sknetwork.clustering.bilouvain import BiLouvain +from sknetwork.clustering.metrics import modularity, bimodularity, cocitation_modularity + diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index 22de75a04..09d4d7a05 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -96,17 +96,19 @@ class BiLouvain(Algorithm): The bimodularity of a clustering is - :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{B_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2}\\big)\\delta_{c^d_i,c^f_j}`, + :math:`Q = \\sum_{i=1}^n\\sum_{j=1}^p\\big(\\dfrac{B_{ij}}{w} - + \\gamma \\dfrac{d_if_j}{w^2}\\big)\\delta_{c^d_i,c^f_j}`, where - :math:`\\gamma \\ge 0` is a resolution parameter,\n :math:`c^d_i` is the cluster of sample node `i` (rows of the biadjacency matrix),\n :math:`c^f_j` is the cluster of feature node `j` (columns of the biadjacency matrix),\n - :math:`\\delta` is the Kronecker symbol. + :math:`\\delta` is the Kronecker symbol, + :math:`\\gamma \\ge 0` is the resolution parameter.\n - The ```as_undirected``` parameter of the fit method allows one to cluster the graph as undirected, - without considering the bipartite structure of the graph. + + The ```force_undirected``` parameter of the fit method forces the algorithm to consider the graph as undirected, + without considering its bipartite structure. Parameters ---------- @@ -159,7 +161,7 @@ def __init__(self, resolution: float = 1, tol: float = 1e-3, agg_tol: float = 1e self.n_clusters_ = None def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] = 'degree', - feature_weights: Union['str', np.ndarray] = 'degree', as_undirected: bool = False): + feature_weights: Union['str', np.ndarray] = 'degree', force_undirected: bool = False): """ Alternates local optimization and aggregation until convergence. @@ -171,7 +173,7 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] Probabilities for the samples in the null model. ``'degree'``, ``'uniform'`` or custom weights. feature_weights: Probabilities for the features in the null model. ``'degree'``, ``'uniform'`` or custom weights. - as_undirected: + force_undirected: If True, maximizes the modularity of the undirected graph instead of the bimodularity. Returns @@ -183,7 +185,7 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] samp_weights = np.hstack((check_probs(weights, biadjacency), np.zeros(n_feat))) feat_weights = np.hstack((np.zeros(n_samp), check_probs(feature_weights, biadjacency.T))) - if as_undirected: + if force_undirected: graph = AggregateGraph(bipartite2undirected(biadjacency), samp_weights, feat_weights) else: graph = AggregateGraph(bipartite2directed(biadjacency), samp_weights, feat_weights) diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index 3b976fdc7..188d7683f 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -6,8 +6,6 @@ """ import numpy as np - -from itertools import combinations from scipy import sparse from typing import Union @@ -17,23 +15,31 @@ def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feat """ Modularity for bipartite graphs. - :math:`Q = \\sum_{ij}(\\dfrac{B_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2})\\delta_{ij}` + :math:`Q = \\sum_{i=1}^n\\sum_{j=1}^p (\\dfrac{B_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2})\\delta_{c^d_i,c^f_j},` + + where + + :math:`c^d_i` is the cluster of sample node `i` (rows of the biadjacency matrix),\n + :math:`c^f_j` is the cluster of feature node `j` (columns of the biadjacency matrix),\n + :math:`\\delta` is the Kronecker symbol, + :math:`\\gamma \\ge 0` is the resolution parameter.\n + Parameters ---------- biadjacency: - matrix of shape n1 x n2 + Matrix of shape n x p. sample_labels: - partition of the samples, sample_labels[node] = cluster_index + Cluster of each sample, vector of size n. feature_labels: - partition of the features, feature_labels[node] = cluster_index + Cluster of each feature, vector of size p. resolution: - scaling for the second term of the bimodularity + Resolution parameter. Returns ------- - bimodularity: float - The bimodularity + bimodularity: + Bimodularity of the clustering. """ n_samples, n_features = biadjacency.shape one_samples, one_features = np.ones(n_samples), np.ones(n_features) @@ -171,82 +177,3 @@ def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: return float(fit - resolution * diversity) - -def performance(adjacency: sparse.csr_matrix, labels: np.ndarray) -> float: - """The performance is the ratio of the total number of intra-cluster edges plus the total number of inter-cluster - non-edges with the number of potential edges in the graph. - - Parameters - ---------- - adjacency: - the adjacency matrix of the graph - labels: - the cluster indices, labels[node] = index of the cluster of node. - - Returns - ------- - : float - the performance metric - """ - n_nodes, m_nodes = adjacency.shape - if n_nodes != m_nodes: - raise ValueError('The adjacency matrix is not square.') - bool_adj = abs(adjacency.sign()) - - clusters = set(labels.tolist()) - cluster_indicator = {cluster: (labels == cluster) for cluster in clusters} - cluster_sizes = {cluster: cluster_indicator[cluster].sum() for cluster in clusters} - - perf = 0. - for cluster, indicator in cluster_indicator.items(): - perf += indicator.dot(bool_adj.dot(indicator)) - - for cluster_i, cluster_j in combinations(clusters, 2): - perf += 2 * cluster_sizes[cluster_i] * cluster_sizes[cluster_j] - perf -= 2 * cluster_indicator[cluster_i].dot(bool_adj.dot(cluster_indicator[cluster_j])) - - return perf / n_nodes**2 - - -def cocitation_performance(adjacency: sparse.csr_matrix, labels: np.ndarray) -> float: - """The performance of the clustering on the normalized cocitation graph associated to the provided adjacency - matrix without explicit computation of the graph. - - Parameters - ---------- - adjacency: - the adjacency matrix of the graph - labels: - the cluster indices, labels[node] = index of the cluster of node. - - Returns - ------- - : float - The performance metric on the normalized cocitation graph. - """ - n_samples, n_features = adjacency.shape - if n_samples != n_features: - raise ValueError('The adjacency matrix is not square.') - bool_adj = abs(adjacency.sign()) - - clusters = set(labels.tolist()) - cluster_indicator = {cluster: (labels == cluster) for cluster in clusters} - cluster_sizes = {cluster: cluster_indicator[cluster].sum() for cluster in clusters} - - din = bool_adj.T.dot(np.ones(n_features)) - # pseudo inverse square-root in-degree matrix - dhin = sparse.diags(np.sqrt(din), shape=(n_features, n_features), format='csr') - dhin.data = 1 / dhin.data - - norm_backward_adj = (dhin.dot(bool_adj.T)).tocsr() - - perf = 0. - for cluster, indicator in cluster_indicator.items(): - perf += indicator.dot(bool_adj.dot(norm_backward_adj.dot(indicator))) - - for cluster_i, cluster_j in combinations(clusters, 2): - perf += 2 * cluster_sizes[cluster_i] * cluster_sizes[cluster_j] - perf -= 2 * cluster_indicator[cluster_i].dot( - bool_adj.dot(norm_backward_adj.dot(cluster_indicator[cluster_j]))) - - return perf / n_samples**2 diff --git a/sknetwork/clustering/tests/test_louvain.py b/sknetwork/clustering/tests/test_louvain.py index 554c82da4..38a2a8ecd 100644 --- a/sknetwork/clustering/tests/test_louvain.py +++ b/sknetwork/clustering/tests/test_louvain.py @@ -4,9 +4,10 @@ import unittest -from sknetwork.clustering import * -from sknetwork.toy_graphs import * +from sknetwork.clustering import Louvain, GreedyModularity, modularity +from sknetwork.toy_graphs import karate_club_graph, bow_tie_graph from scipy.sparse import identity +from sknetwork import is_numba_available class TestLouvainClustering(unittest.TestCase): diff --git a/sknetwork/clustering/tests/test_metrics.py b/sknetwork/clustering/tests/test_metrics.py index a4fac325a..82f6ab38f 100644 --- a/sknetwork/clustering/tests/test_metrics.py +++ b/sknetwork/clustering/tests/test_metrics.py @@ -5,7 +5,7 @@ import unittest import numpy as np from scipy import sparse -from sknetwork.clustering import modularity, cocitation_modularity, bimodularity, performance, cocitation_performance +from sknetwork.clustering import modularity, cocitation_modularity, bimodularity from sknetwork.toy_graphs import star_wars_villains_graph @@ -30,11 +30,3 @@ def test_bimodularity(self): def test_cocitation_modularity(self): self.assertAlmostEqual(cocitation_modularity(self.graph, self.labels), 0.0521, 3) self.assertAlmostEqual(cocitation_modularity(self.graph, self.unique_cluster), 0.) - - def test_performance(self): - self.assertAlmostEqual(performance(self.graph, self.labels), 0.625, 3) - self.assertAlmostEqual(performance(self.graph, self.unique_cluster), 0.5) - - def test_cocitation_performance(self): - self.assertAlmostEqual(cocitation_performance(self.graph, self.labels), 0.827, 3) - self.assertAlmostEqual(cocitation_performance(self.graph, self.unique_cluster), 0.741, 3) From 8cc93e4311bdab8bece9274f67e26f979d4b7f3d Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 10 Jul 2019 14:52:59 +0200 Subject: [PATCH 28/92] Added generated index in ToC --- docs/genindex.rst | 2 ++ docs/index.rst | 5 +---- docs/reference/clustering.rst | 4 ---- 3 files changed, 3 insertions(+), 8 deletions(-) create mode 100644 docs/genindex.rst diff --git a/docs/genindex.rst b/docs/genindex.rst new file mode 100644 index 000000000..9e530fa2f --- /dev/null +++ b/docs/genindex.rst @@ -0,0 +1,2 @@ +Index +===== diff --git a/docs/index.rst b/docs/index.rst index c85be304f..d887d98f4 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -26,7 +26,4 @@ Welcome to scikit-network's documentation! contributing authors history - - - -:ref:`genindex` + genindex diff --git a/docs/reference/clustering.rst b/docs/reference/clustering.rst index 8803fa1dc..95819fddc 100644 --- a/docs/reference/clustering.rst +++ b/docs/reference/clustering.rst @@ -33,7 +33,3 @@ Metrics .. autofunction:: sknetwork.clustering.bimodularity .. autofunction:: sknetwork.clustering.cocitation_modularity - -.. autofunction:: sknetwork.clustering.performance - -.. autofunction:: sknetwork.clustering.cocitation_performance From c6d68ddb97512073160ab6b75c358b69f898bdf6 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 10 Jul 2019 16:16:59 +0200 Subject: [PATCH 29/92] Auto stash before merge of "develop" and "origin/develop" --- docs/reference/clustering.rst | 4 ++++ docs/reference/utils.rst | 2 +- docs/tutorials/clustering_Louvain.ipynb | 7 +++++++ sknetwork/clustering/bilouvain.py | 13 +++++++++---- sknetwork/clustering/tests/test_bilouvain.py | 4 ++-- sknetwork/utils/adjacency_formats.py | 4 ++-- .../tests/test_preprocessing.py | 0 7 files changed, 25 insertions(+), 9 deletions(-) rename sknetwork/{clustering => utils}/tests/test_preprocessing.py (100%) diff --git a/docs/reference/clustering.rst b/docs/reference/clustering.rst index 95819fddc..72c1b4ef4 100644 --- a/docs/reference/clustering.rst +++ b/docs/reference/clustering.rst @@ -33,3 +33,7 @@ Metrics .. autofunction:: sknetwork.clustering.bimodularity .. autofunction:: sknetwork.clustering.cocitation_modularity +<<<<<<< Updated upstream +======= + +>>>>>>> Stashed changes diff --git a/docs/reference/utils.rst b/docs/reference/utils.rst index bbb5b3e3a..01afb9ec7 100644 --- a/docs/reference/utils.rst +++ b/docs/reference/utils.rst @@ -1,6 +1,6 @@ .. _utils: -Utils +Tools ***** .. currentmodule:: sknetwork diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index 8678af049..ddc3f74cb 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -31,6 +31,13 @@ "from networkx import from_scipy_sparse_matrix, draw" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index 09d4d7a05..bd0245d30 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -5,9 +5,13 @@ @author: Nathan de Lara """ -from sknetwork.clustering.louvain import * +import numpy as np +from scipy import sparse +from typing import Union +from sknetwork.clustering.louvain import Louvain, AggregateGraph, membership_matrix, GreedyModularity +from sknetwork.clustering.postprocessing import reindex_clusters from sknetwork.utils.adjacency_formats import bipartite2undirected, bipartite2directed -from sknetwork.utils.checks import * +from sknetwork.utils.checks import check_probs, check_format, check_engine from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork import njit, prange @@ -213,7 +217,8 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] self.n_clusters_ = louvain.n_clusters_ self.iteration_count_ = iteration_count - self.labels_ = membership.indices[:n_samp] - self.feature_labels_ = membership.indices[n_samp:] + labels = reindex_clusters(membership.indices) + self.labels_ = labels[:n_samp] + self.feature_labels_ = labels[n_samp:] self.aggregate_graph_ = louvain.aggregate_graph_ * biadjacency.data.sum() return self diff --git a/sknetwork/clustering/tests/test_bilouvain.py b/sknetwork/clustering/tests/test_bilouvain.py index 197651a84..c02984575 100644 --- a/sknetwork/clustering/tests/test_bilouvain.py +++ b/sknetwork/clustering/tests/test_bilouvain.py @@ -4,8 +4,8 @@ import unittest -from sknetwork.clustering import * -from sknetwork.toy_graphs import * +from sknetwork.clustering import BiLouvain +from sknetwork.toy_graphs import star_wars_villains_graph from sknetwork import is_numba_available diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index e0b7cd0d2..1749e5c7a 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -59,7 +59,7 @@ def bipartite2directed(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union The returned adjacency matrix is: - :math:`A = \\begin{bmatrix} 0 & B \\\ 0 & 0 \\end{bmatrix}` + :math:`A = \\begin{bmatrix} 0 & B \\\\ 0 & 0 \\end{bmatrix}` where :math:`B` is the biadjacency matrix of the bipartite graph. @@ -89,7 +89,7 @@ def bipartite2undirected(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Uni The returned adjacency matrix is: - :math:`A = \\begin{bmatrix} 0 & B \\\ B^T & 0 \\end{bmatrix}` + :math:`A = \\begin{bmatrix} 0 & B \\\\ B^T & 0 \\end{bmatrix}` where :math:`B` is the biadjacency matrix of the bipartite graph. diff --git a/sknetwork/clustering/tests/test_preprocessing.py b/sknetwork/utils/tests/test_preprocessing.py similarity index 100% rename from sknetwork/clustering/tests/test_preprocessing.py rename to sknetwork/utils/tests/test_preprocessing.py From a39f1214a37686bbf24777f72ff89c8e72a1be2e Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 10 Jul 2019 17:07:18 +0200 Subject: [PATCH 30/92] Doc fix --- docs/reference/clustering.rst | 4 ---- 1 file changed, 4 deletions(-) diff --git a/docs/reference/clustering.rst b/docs/reference/clustering.rst index 72c1b4ef4..95819fddc 100644 --- a/docs/reference/clustering.rst +++ b/docs/reference/clustering.rst @@ -33,7 +33,3 @@ Metrics .. autofunction:: sknetwork.clustering.bimodularity .. autofunction:: sknetwork.clustering.cocitation_modularity -<<<<<<< Updated upstream -======= - ->>>>>>> Stashed changes From 8e4127edd7b4daec938625266a88c6f12b91f701 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Thu, 11 Jul 2019 07:51:21 +0200 Subject: [PATCH 31/92] Embedding + Louvain --- sknetwork/clustering/bilouvain.py | 12 ++--- sknetwork/clustering/louvain.py | 16 +++--- sknetwork/clustering/metrics.py | 12 ++--- sknetwork/embedding/gsvd.py | 30 +++++------ sknetwork/embedding/metrics.py | 16 +++--- sknetwork/embedding/spectral.py | 26 +++++----- sknetwork/embedding/tests/test_embeddings.py | 52 ++++++++++---------- sknetwork/hierarchy/metrics.py | 18 +++---- sknetwork/hierarchy/paris.py | 14 +++--- sknetwork/loader/parser.py | 2 +- sknetwork/ranking/pagerank.py | 4 +- sknetwork/toy_graphs/block_model.py | 6 +-- sknetwork/toy_graphs/graph_data.py | 29 +++++------ sknetwork/utils/adjacency_formats.py | 14 +++--- sknetwork/utils/checks.py | 8 +-- sknetwork/utils/preprocessing.py | 10 ++-- 16 files changed, 136 insertions(+), 133 deletions(-) diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index bd0245d30..495d820f4 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -94,7 +94,7 @@ def local_updates(nodes, node_probs, indptr, indices, data, labels, source_clust class BiLouvain(Algorithm): """ - BiLouvain algorithm for the co-clustering of bipartite graphs in Python (default) and Numba. + BiLouvain algorithm for the co-clustering of biadjacency graphs in Python (default) and Numba. Seeks the best partition of the nodes with respect to bimodularity. @@ -111,8 +111,8 @@ class BiLouvain(Algorithm): :math:`\\gamma \\ge 0` is the resolution parameter.\n - The ```force_undirected``` parameter of the fit method forces the algorithm to consider the graph as undirected, - without considering its bipartite structure. + The ```force_undirected``` parameter of the fit method forces the algorithm to consider the adjacency as undirected, + without considering its biadjacency structure. Parameters ---------- @@ -140,7 +140,7 @@ class BiLouvain(Algorithm): iteration_count_: int Total number of aggregations performed. aggregate_graph_: sparse.csr_matrix - Aggregated graph at the end of the algorithm. + Aggregated adjacency at the end of the algorithm. score_: float objective function value after fit n_clusters_: int @@ -172,13 +172,13 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] Parameters ---------- biadjacency: - Biadjacency matrix of the graph to cluster. + Biadjacency matrix of the adjacency to cluster. weights: Probabilities for the samples in the null model. ``'degree'``, ``'uniform'`` or custom weights. feature_weights: Probabilities for the features in the null model. ``'degree'``, ``'uniform'`` or custom weights. force_undirected: - If True, maximizes the modularity of the undirected graph instead of the bimodularity. + If True, maximizes the modularity of the undirected adjacency instead of the bimodularity. Returns ------- diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index f4a070c66..b66b1d494 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -43,7 +43,7 @@ class AggregateGraph: Parameters ---------- adjacency: - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. weights: Distribution of node weights (sums to 1), used in the second term of modularity. @@ -81,7 +81,7 @@ def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], Returns ------- - The aggregated graph. + The aggregated adjacency. """ if membership.shape[0] != self.n_nodes: raise ValueError('The size of the partition must match the number of nodes.') @@ -92,7 +92,7 @@ def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], if feat_membership.shape[0] != self.n_features: raise ValueError('The number of feature labels must match the number of columns.') if self.feat_probs is None: - raise ValueError('This graph does not have a feat_probs attribute.') + raise ValueError('This adjacency does not have a feat_probs attribute.') elif type(feat_membership) == np.ndarray: feat_membership = membership_matrix(feat_membership) @@ -257,12 +257,12 @@ def __init__(self, resolution: float = 1, tol: float = 1e-3, engine: str = 'defa def fit(self, graph: AggregateGraph): """ - Iterates over the nodes of the graph and moves them to the cluster of highest increase among their neighbors. + Iterates over the nodes of the adjacency and moves them to the cluster of highest increase among their neighbors. Parameters ---------- graph: - The graph to cluster. + The adjacency to cluster. Returns ------- @@ -356,7 +356,7 @@ def fit(self, graph: AggregateGraph): class Louvain(Algorithm): """ - Louvain algorithm for graph clustering in Python (default) and Numba. + Louvain algorithm for adjacency clustering in Python (default) and Numba. Seeks the best partition of the nodes with respect to modularity. @@ -408,7 +408,7 @@ class Louvain(Algorithm): iteration_count_: int Total number of aggregations performed. aggregate_graph_: sparse.csr_matrix - Aggregated graph at the end of the algorithm. + Aggregated adjacency at the end of the algorithm. Example ------- @@ -465,7 +465,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd Parameters ---------- adjacency : - Adjacency matrix of the graph to cluster. + Adjacency matrix of the adjacency to cluster. weights : Probabilities for node sampling in the null model. ``'degree'``, ``'uniform'`` or custom weights. feature_weights : diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index 188d7683f..a73be7707 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -13,7 +13,7 @@ def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feature_labels: np.ndarray, resolution: float = 1) -> float: """ - Modularity for bipartite graphs. + Modularity for biadjacency graphs. :math:`Q = \\sum_{i=1}^n\\sum_{j=1}^p (\\dfrac{B_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2})\\delta_{c^d_i,c^f_j},` @@ -76,7 +76,7 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union partition : dict or np.ndarray The partition of the nodes. The keys of the dictionary correspond to the nodes and the values to the communities. adjacency : scipy.csr_matrix or np.ndarray - The adjacency matrix of the graph (sparse or dense). + The adjacency matrix of the adjacency (sparse or dense). resolution : float, optional (default=1.) The resolution parameter in the modularity function. directed: bool @@ -124,8 +124,8 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: """ - Compute the modularity of a node partition on the normalized cocitation graph - associated to a network without explicit computation of the cocitation graph. + Compute the modularity of a node partition on the normalized cocitation adjacency + associated to a network without explicit computation of the cocitation adjacency. :math:`Q = \\sum_{ij}(\\dfrac{(AF^{-1}A^T)_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2})\\delta_{ij}` @@ -134,14 +134,14 @@ def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: partition: dict or np.ndarray The partition of the nodes. The keys of the dictionary correspond to the nodes and the values to the communities. adjacency: scipy.csr_matrix or np.ndarray - The adjacency matrix of the graph (sparse or dense). + The adjacency matrix of the adjacency (sparse or dense). resolution: float (default=1.) The resolution parameter in the modularity function. Returns ------- modularity: float - The modularity on the normalized cocitation graph. + The modularity on the normalized cocitation adjacency. """ if type(adjacency) == sparse.csr_matrix: diff --git a/sknetwork/embedding/gsvd.py b/sknetwork/embedding/gsvd.py index 1a829570a..770e11cc2 100755 --- a/sknetwork/embedding/gsvd.py +++ b/sknetwork/embedding/gsvd.py @@ -43,9 +43,9 @@ class GSVD(Algorithm): Example ------- >>> from sknetwork.toy_graphs import movie_actor_graph - >>> graph = movie_actor_graph() + >>> adjacency = movie_actor_graph() >>> gsvd = GSVD(embedding_dimension=2) - >>> gsvd.fit(graph) + >>> gsvd.fit(adjacency) GSVD(embedding_dimension=2, weights='degree', regularization=0.01, energy_scaling=True, solver=LanczosSVD()) >>> gsvd.embedding_.shape (15, 2) @@ -79,16 +79,16 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'GSVD': Parameters ---------- - adjacency: array-like, shape = (n, m) - Adjacency matrix, where n = m is the number of nodes for a standard directed or undirected graph, - n is the cardinal of V1 and m is the cardinal of V2 for a bipartite graph. + adjacency: array-like, shape = (n, p) + Adjacency matrix, where n = p is the number of nodes for a standard directed or undirected adjacency, + n, p are the number of nodes in each part for a biadjacency adjacency. Returns ------- self: :class:`GSVD` """ adjacency = check_format(adjacency) - n_nodes, m_nodes = adjacency.shape + n, p = adjacency.shape if self.solver == 'auto': solver = auto_solver(adjacency.nnz) @@ -98,26 +98,28 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'GSVD': self.solver: SVDSolver = HalkoSVD() if self.regularization: - adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n_nodes), np.ones(m_nodes))]) - total_weight = adjacency.dot(np.ones(m_nodes)).sum() + adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n), np.ones(p))]) + total_weight = adjacency.dot(np.ones(p)).sum() w_samp = check_weights(self.weights, adjacency) w_feat = check_weights(self.weights, adjacency.T) # pseudo inverse square-root out-degree matrix - diag_samp = sparse.diags(np.sqrt(w_samp), shape=(n_nodes, n_nodes), format='csr') + diag_samp = sparse.diags(np.sqrt(w_samp), shape=(n, n), format='csr') diag_samp.data = 1 / diag_samp.data # pseudo inverse square-root in-degree matrix - diag_feat = sparse.diags(np.sqrt(w_feat), shape=(m_nodes, m_nodes), format='csr') + diag_feat = sparse.diags(np.sqrt(w_feat), shape=(p, p), format='csr') diag_feat.data = 1 / diag_feat.data normalized_adj = safe_sparse_dot(diag_samp, safe_sparse_dot(adjacency, diag_feat)) - self.solver.fit(normalized_adj, self.embedding_dimension) + # svd + n_components = min(self.embedding_dimension + 1, min(n, p) - 1) + self.solver.fit(normalized_adj, n_components) - self.singular_values_ = self.solver.singular_values_ - self.embedding_ = np.sqrt(total_weight) * diag_samp.dot(self.solver.left_singular_vectors_) - self.features_ = np.sqrt(total_weight) * diag_feat.dot(self.solver.right_singular_vectors_) + self.singular_values_ = self.solver.singular_values_[1:] + self.embedding_ = np.sqrt(total_weight) * diag_samp.dot(self.solver.left_singular_vectors_[:, 1:]) + self.features_ = np.sqrt(total_weight) * diag_feat.dot(self.solver.right_singular_vectors_[:, 1:]) # rescale to get barycenter property self.embedding_ *= self.singular_values_ diff --git a/sknetwork/embedding/metrics.py b/sknetwork/embedding/metrics.py index 63b38125e..70ab182b1 100644 --- a/sknetwork/embedding/metrics.py +++ b/sknetwork/embedding/metrics.py @@ -6,7 +6,7 @@ Authors: Nathan De Lara -Quality metrics for graph embeddings +Quality metrics for adjacency embeddings """ import numpy as np @@ -24,7 +24,7 @@ def linear_fit(adjacency: Union[sparse.csr_matrix, np.ndarray], embedding: np.nd Parameters ---------- adjacency: - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. embedding: Two dimensional array, line i represents the embedding of node i. order: @@ -64,8 +64,8 @@ def linear_fit(adjacency: Union[sparse.csr_matrix, np.ndarray], embedding: np.nd def dot_modularity(adjacency, embedding: np.ndarray, features=None, resolution=1., weights='degree', return_all: bool=False): """ - Difference of the weighted average dot product between embeddings of pairs of neighbors in the graph - (fit term) and pairs of nodes in the graph (diversity term). + Difference of the weighted average dot product between embeddings of pairs of neighbors in the adjacency + (fit term) and pairs of nodes in the adjacency (diversity term). :math:`Q = \\sum_{ij}(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2})x_i^Tx_j` @@ -75,11 +75,11 @@ def dot_modularity(adjacency, embedding: np.ndarray, features=None, resolution=1 Parameters ---------- adjacency: sparse.csr_matrix or np.ndarray - the adjacency matrix of the graph + the adjacency matrix of the adjacency embedding: np.ndarray the embedding to evaluate, embedding[i] must represent the embedding of node i features: None or np.ndarray - For bipartite graphs, features should be the embedding of the second part + For biadjacency graphs, features should be the embedding of the second part resolution: float scaling for first-order approximation weights: ``'degree'`` or ``'uniform'`` @@ -129,12 +129,12 @@ def hscore(adjacency, embedding: np.ndarray, order='second', return_all: bool=Fa Parameters ---------- adjacency: sparse.csr_matrix or np.ndarray - the adjacency matrix of the graph + the adjacency matrix of the adjacency embedding: np.ndarray the embedding to evaluate, embedding[i] must represent the embedding of node i order: \'first\' or \'second\'. The order of the node similarity metric to use. First-order corresponds to edges weights while second-order - corresponds to the weights of the edges in the normalized cocitation graph. + corresponds to the weights of the edges in the normalized cocitation adjacency. return_all: bool, default = ``False`` whether to return (fit, diversity) or hmean(fit, diversity) diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 7477c4080..c069b2eb0 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -19,7 +19,7 @@ class Spectral(Algorithm): - """Weighted spectral embedding of a graph. + """Weighted spectral embedding of a adjacency. Parameters ---------- @@ -54,9 +54,9 @@ class Spectral(Algorithm): Example ------- >>> from sknetwork.toy_graphs import karate_club_graph - >>> graph = karate_club_graph() + >>> adjacency = karate_club_graph() >>> spectral = Spectral(embedding_dimension=2) - >>> spectral.fit(graph) + >>> spectral.fit(adjacency) Spectral(embedding_dimension=2, node_weights='degree', regularization=0.01, energy_scaling=True,\ force_biadjacency=False, solver=LanczosEig(which='SM')) >>> spectral.embedding_.shape @@ -97,7 +97,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': Parameters ---------- adjacency : array-like, shape = (n, n) - Adjacency matrix of the graph + Adjacency matrix of the adjacency Returns ------- @@ -105,7 +105,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': """ adjacency = check_format(adjacency) - n_nodes, m_nodes = adjacency.shape + n, p = adjacency.shape if self.solver == 'auto': solver = auto_solver(adjacency.nnz) @@ -117,13 +117,13 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': if self.regularization is None and not is_connected(adjacency): if self.energy_scaling: raise ValueError('energy_scaling without low-rank regularization' - 'is not compatible with a disconnected graph') + 'is not compatible with a disconnected adjacency') else: - raise Warning("The graph is not connected and low-rank regularization is not active." + raise Warning("The adjacency is not connected and low-rank regularization is not active." "This can cause errors in the computation of the embedding.") if self.regularization: - adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n_nodes), np.ones(m_nodes))]) - if m_nodes != n_nodes or self.force_biadjacency: + adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n), np.ones(p))]) + if p != n or self.force_biadjacency: adjacency = bipartite2undirected(adjacency) # builds standard laplacian @@ -139,7 +139,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': laplacian = safe_sparse_dot(weight_matrix, safe_sparse_dot(laplacian, weight_matrix)) # spectral decomposition - n_components = min(self.embedding_dimension + 1, min(n_nodes, m_nodes)) + n_components = min(self.embedding_dimension + 1, min(n, p)) self.solver.fit(laplacian, n_components) self.eigenvalues_ = self.solver.eigenvalues_[1:] @@ -148,8 +148,8 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': if self.energy_scaling and self.node_weights == 'degree': self.embedding_ /= np.sqrt(self.eigenvalues_) - if self.embedding_.shape[0] > n_nodes: - self.features_ = self.embedding_[n_nodes:] - self.embedding_ = self.embedding_[:n_nodes] + if self.embedding_.shape[0] > n: + self.features_ = self.embedding_[n:] + self.embedding_ = self.embedding_[:n] return self diff --git a/sknetwork/embedding/tests/test_embeddings.py b/sknetwork/embedding/tests/test_embeddings.py index ff1338233..f76086b0d 100644 --- a/sknetwork/embedding/tests/test_embeddings.py +++ b/sknetwork/embedding/tests/test_embeddings.py @@ -12,36 +12,36 @@ class TestEmbeddings(unittest.TestCase): def setUp(self): - self.graph = sparse.csr_matrix(np.array([[0, 1, 1, 1], - [1, 0, 0, 0], - [1, 0, 0, 1], - [1, 0, 1, 0]])) - self.bipartite = sparse.csr_matrix(np.array([[1, 0, 1], - [1, 0, 0], - [1, 1, 1], - [0, 1, 1]])) + self.adjacency = sparse.csr_matrix(np.array([[0, 1, 1, 1], + [1, 0, 0, 0], + [1, 0, 0, 1], + [1, 0, 1, 0]])) + self.biadjacency = sparse.csr_matrix(np.array([[1, 0, 1], + [1, 0, 0], + [1, 1, 1], + [0, 1, 1]])) + + def test_spectral(self): + spectral = Spectral(2) + spectral.fit(self.adjacency) + self.assertTrue(spectral.embedding_.shape == (4, 2)) + self.assertTrue(type(spectral.eigenvalues_) == np.ndarray and len(spectral.eigenvalues_) == 2) + self.assertTrue(min(spectral.eigenvalues_ >= 0)) + self.assertTrue(max(spectral.eigenvalues_ <= 2)) + + spectral.fit(self.biadjacency) + self.assertEqual(spectral.embedding_.shape, (4, 2)) + self.assertEqual(spectral.features_.shape, (3, 2)) + self.assertTrue(type(spectral.eigenvalues_) == np.ndarray and len(spectral.eigenvalues_) == 2) def test_gsvd(self): gsvd = GSVD(2) - gsvd.fit(self.graph) + gsvd.fit(self.adjacency) self.assertTrue(gsvd.embedding_.shape == (4, 2)) self.assertTrue(gsvd.features_.shape == (4, 2)) self.assertTrue(type(gsvd.singular_values_) == np.ndarray and len(gsvd.singular_values_) == 2) - gsvd.fit(self.bipartite) - self.assertTrue(gsvd.embedding_.shape == (4, 2)) - self.assertTrue(gsvd.features_.shape == (3, 2)) - self.assertTrue(type(gsvd.singular_values_) == np.ndarray and len(gsvd.singular_values_) == 2) - - def test_spectral(self): - sp = Spectral(2) - sp.fit(self.graph) - self.assertTrue(sp.embedding_.shape == (4, 2)) - self.assertTrue(type(sp.eigenvalues_) == np.ndarray and len(sp.eigenvalues_) == 2) - self.assertTrue(min(sp.eigenvalues_ >= 0)) - self.assertTrue(max(sp.eigenvalues_ <= 2)) - - sp.fit(self.bipartite) - self.assertEqual(sp.embedding_.shape, (4, 2)) - self.assertEqual(sp.features_.shape, (3, 2)) - self.assertTrue(type(sp.eigenvalues_) == np.ndarray and len(sp.eigenvalues_) == 2) + gsvd.fit(self.biadjacency) + self.assertTrue(gsvd.embedding_.shape == (4, 1)) + self.assertTrue(gsvd.features_.shape == (3, 1)) + self.assertTrue(type(gsvd.singular_values_) == np.ndarray and len(gsvd.singular_values_) == 1) diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index 6ef361212..36eba554b 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -16,13 +16,13 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, Parameters ---------- adjacency : - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster weights : Vector of node weights. Default = 'uniform', weight 1 for each node. normalized: - If true, normalized by the number of ndoes of the graph. + If true, normalized by the number of ndoes of the adjacency. Returns ------- @@ -41,9 +41,9 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, if not is_square(adjacency): raise ValueError('The adjacency matrix must be square.') if adjacency.shape[0] <= 1: - raise ValueError('The graph must contain at least two nodes.') + raise ValueError('The adjacency must contain at least two nodes.') if not is_symmetric(adjacency): - raise ValueError('The graph must be undirected. Please fit a symmetric adjacency matrix.') + raise ValueError('The adjacency must be undirected. Please fit a symmetric adjacency matrix.') node_probs = check_probs(weights, adjacency, positive_entries=True) @@ -81,13 +81,13 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra Parameters ---------- adjacency : - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster weights : - Vector of node weights. Default = 'degree', weight of each node in the graph. + Vector of node weights. Default = 'degree', weight of each node in the adjacency. normalized: - If true, normalized by the mutual information of the graph. + If true, normalized by the mutual information of the adjacency. Returns ------- @@ -106,9 +106,9 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra if not is_square(adjacency): raise ValueError('The adjacency matrix must be square.') if adjacency.shape[0] <= 1: - raise ValueError('The graph must contain at least two nodes.') + raise ValueError('The adjacency must contain at least two nodes.') if not is_symmetric(adjacency): - raise ValueError('The graph must be undirected. Please fit a symmetric adjacency matrix.') + raise ValueError('The adjacency must be undirected. Please fit a symmetric adjacency matrix.') node_probs = check_probs(weights, adjacency, positive_entries=True) diff --git a/sknetwork/hierarchy/paris.py b/sknetwork/hierarchy/paris.py index 459a53418..18310bbea 100644 --- a/sknetwork/hierarchy/paris.py +++ b/sknetwork/hierarchy/paris.py @@ -14,12 +14,12 @@ class AggregateGraph: """ - A class of graph suitable for aggregation. Each node represents a cluster. + A class of adjacency suitable for aggregation. Each node represents a cluster. Parameters ---------- adjacency : - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. node_probs : Probability distribution of node weights. @@ -61,7 +61,7 @@ def merge(self, node1: int, node2: int) -> 'AggregateGraph': Returns ------- self: :class:`AggregateGraph` - The aggregated graph (without self-loop). + The aggregated adjacency (without self-loop). """ new_node = self.next_cluster self.graph[new_node] = {} @@ -277,7 +277,7 @@ class Paris(Algorithm): The similarity between clusters i,j is :math:`\\dfrac{A_{ij}}{w_i w_j}` where - * :math:`A_{ij}` is the weight of edge i,j in the aggregate graph + * :math:`A_{ij}` is the weight of edge i,j in the aggregate adjacency * :math:`w_{i}` is the weight of cluster i @@ -331,7 +331,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd Parameters ---------- adjacency : - Adjacency matrix of the graph to cluster. + Adjacency matrix of the adjacency to cluster. weights : Node weights used in the linkage. reorder : @@ -346,9 +346,9 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd if not is_square(adjacency): raise ValueError('The adjacency matrix must be square.') if adjacency.shape[0] <= 1: - raise ValueError('The graph must contain at least two nodes.') + raise ValueError('The adjacency must contain at least two nodes.') if not is_symmetric(adjacency): - raise ValueError('The graph must be undirected. Please fit a symmetric adjacency matrix.') + raise ValueError('The adjacency must be undirected. Please fit a symmetric adjacency matrix.') node_probs = check_probs(weights, adjacency, positive_entries=True) diff --git a/sknetwork/loader/parser.py b/sknetwork/loader/parser.py index 3ab265eaa..608f3ba14 100644 --- a/sknetwork/loader/parser.py +++ b/sknetwork/loader/parser.py @@ -39,7 +39,7 @@ def parse_tsv(file: str, directed: bool = False, bipartite: bool = False, weight Returns ------- adjacency : csr_matrix - the adjacency matrix of the graph + the adjacency matrix of the adjacency labels : numpy.array an array such that labels[k] is the label or the new index given to the k-th node, None if no labels diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 1a1e4719d..9bd61c108 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -54,7 +54,7 @@ class PageRank(Algorithm): Parameters ---------- damping_factor: float - Probability to jump according to the graph transition matrix in the random walk. + Probability to jump according to the adjacency transition matrix in the random walk. method: str Specifies the used method. Must be 'diter' or 'spectral' n_iter: int @@ -112,7 +112,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], Parameters ---------- adjacency - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. personalization If ``None``, the uniform probability distribution over the nodes is used. Otherwise, the user must provide a valid probability vector. diff --git a/sknetwork/toy_graphs/block_model.py b/sknetwork/toy_graphs/block_model.py index 67cf97dfa..bff46a935 100644 --- a/sknetwork/toy_graphs/block_model.py +++ b/sknetwork/toy_graphs/block_model.py @@ -16,7 +16,7 @@ def block_model(clusters: Union[np.ndarray, int], shape: Optional[Tuple[int, int outer_prob: float = .01, random_state: Optional[Union[np.random.RandomState, int]] = None) \ -> Tuple[sparse.csr_matrix, np.ndarray, np.ndarray]: """ - A block model graph + A block model adjacency Parameters ---------- @@ -25,7 +25,7 @@ def block_model(clusters: Union[np.ndarray, int], shape: Optional[Tuple[int, int or an int denoting the number of clusters). If an int is passed, shape must be given and the clusters are identical in shape. shape: Optional[Tuple[int]] - The size of the graph to obtain (might be rectangular for a bipartite graph). + The size of the adjacency to obtain (might be rectangular for a biadjacency adjacency). inner_prob: float Intra-cluster connection probability. outer_prob: float @@ -36,7 +36,7 @@ def block_model(clusters: Union[np.ndarray, int], shape: Optional[Tuple[int, int Returns ------- adjacency: sparse.csr_matrix - The adjacency matrix of the graph + The adjacency matrix of the adjacency ground_truth_features: np.ndarray The labels associated with the features ground_truth_samples: np.ndarray diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index ea70ed66e..b51712572 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -13,16 +13,16 @@ def miserables_graph(return_labels=False): """ - Co-occurrence graph of the characters in Les Miserables (by Victor Hugo). + Co-occurrence adjacency of the characters in Les Miserables (by Victor Hugo). 77 nodes, 508 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. labels: dict, optional - The names of the characters corresponding to the nodes in the graph. + The names of the characters corresponding to the nodes in the adjacency. """ indptr = np.array([0, 10, 11, 14, 17, 18, 19, 20, 21, 22, 23, 24, 60, 62, 63, 64, 65, 74, 81, 88, 95, 102, 109, 116, 131, 142, @@ -175,14 +175,14 @@ def miserables_graph(return_labels=False): def bow_tie_graph(): """ - Bow tie graph + Bow tie adjacency 5 nodes, 6 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. """ row = np.array([0, 0, 0, 0, 1, 1, 2, 2, 3, 3, 4, 4]) col = np.array([1, 2, 3, 4, 0, 2, 0, 1, 0, 4, 0, 3]) @@ -192,14 +192,14 @@ def bow_tie_graph(): def house_graph(): """ - House graph + House adjacency 5 nodes, 6 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. """ row = np.array([0, 0, 1, 1, 2, 3]) col = np.array([1, 4, 2, 4, 3, 4]) @@ -218,7 +218,7 @@ def karate_club_graph(): Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. """ row = np.array( [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, @@ -237,14 +237,15 @@ def karate_club_graph(): def rock_paper_scissors_graph(): - """A toy directed cycle graph from Rock Paper Scissors victory rule. + """ + A toy directed cycle adjacency from Rock Paper Scissors victory rule. 3 nodes, 3 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the graph. + Adjacency matrix of the adjacency. """ @@ -253,7 +254,7 @@ def rock_paper_scissors_graph(): def star_wars_villains_graph(return_labels=False): """ - Bipartite graph connecting some Star Wars villains to the movies in which they appear.\n + Bipartite adjacency connecting some Star Wars villains to the movies in which they appear.\n 7 nodes (4 villains, 3 movies), 8 edges Parameters @@ -264,7 +265,7 @@ def star_wars_villains_graph(return_labels=False): Returns ------- biadjacency: sparse.csr_matrix - Biadjacency matrix of the graph. + Biadjacency matrix of the adjacency. """ row = np.array([0, 0, 1, 2, 2, 2, 3, 3]) col = np.array([0, 2, 0, 0, 1, 2, 1, 2]) @@ -280,7 +281,7 @@ def star_wars_villains_graph(return_labels=False): def movie_actor_graph(return_labels=False): """ - Bipartite graph connecting movies to some actors starring in them.\n + Bipartite adjacency connecting movies to some actors starring in them.\n 31 nodes (15 movies, 16 actors), 41 edges Parameters @@ -291,7 +292,7 @@ def movie_actor_graph(return_labels=False): Returns ------- biadjacency: sparse.csr_matrix - Biadjacency matrix of the graph. + Biadjacency matrix of the adjacency. """ edges = { 0: [0, 1, 2], diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index 1749e5c7a..fbb8bb4bf 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -14,7 +14,7 @@ def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], weight_sum: bool = True) -> Union[sparse.csr_matrix, SparseLR]: """ - Returns the adjacency matrix of the undirected graph. + Returns the adjacency matrix of the undirected adjacency. The entry :math:`i,j` of the new matrix becomes either: @@ -55,18 +55,18 @@ def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], def bipartite2directed(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union[sparse.csr_matrix, SparseLR]: """ - Returns the adjacency matrix of a bipartite graph seen as a directed graph (with edges from one part to the other). + Returns the adjacency matrix of a biadjacency adjacency seen as a directed adjacency (with edges from one part to the other). The returned adjacency matrix is: :math:`A = \\begin{bmatrix} 0 & B \\\\ 0 & 0 \\end{bmatrix}` - where :math:`B` is the biadjacency matrix of the bipartite graph. + where :math:`B` is the biadjacency matrix of the biadjacency adjacency. Parameters ---------- biadjacency: - Biadjacency matrix of the bipartite graph. + Biadjacency matrix of the biadjacency adjacency. Returns ------- @@ -85,18 +85,18 @@ def bipartite2directed(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union def bipartite2undirected(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union[sparse.csr_matrix, SparseLR]: """ - Returns the adjacency matrix of a bipartite graph defined by its biadjacency matrix. + Returns the adjacency matrix of a biadjacency adjacency defined by its biadjacency matrix. The returned adjacency matrix is: :math:`A = \\begin{bmatrix} 0 & B \\\\ B^T & 0 \\end{bmatrix}` - where :math:`B` is the biadjacency matrix of the bipartite graph. + where :math:`B` is the biadjacency matrix of the biadjacency adjacency. Parameters ---------- biadjacency: - Biadjacency matrix of the bipartite graph. + Biadjacency matrix of the biadjacency adjacency. Returns ------- diff --git a/sknetwork/utils/checks.py b/sknetwork/utils/checks.py index afc0b6079..c3fe23fe7 100644 --- a/sknetwork/utils/checks.py +++ b/sknetwork/utils/checks.py @@ -63,7 +63,7 @@ def make_weights(distribution: str, adjacency: sparse.csr_matrix) -> np.ndarray: distribution: Distribution for node sampling. Only ``'degree'`` or ``'uniform'`` are accepted. adjacency: - The adjacency matrix of the graph. + The adjacency matrix of the adjacency. Returns ------- @@ -124,14 +124,14 @@ def check_is_proba(entry: Union[float, int]): def check_weights(weights: Union['str', np.ndarray], adjacency: Union[sparse.csr_matrix, sparse.csc_matrix], positive_entries: bool = False) -> np.ndarray: - """Checks whether the weights are a valid distribution for the graph and returns a probability vector. + """Checks whether the weights are a valid distribution for the adjacency and returns a probability vector. Parameters ---------- weights: Probabilities for node sampling in the null model. ``'degree'``, ``'uniform'`` or custom weights. adjacency: - The adjacency matrix of the graph. + The adjacency matrix of the adjacency. positive_entries: If true, the weights must all be positive, if False, the weights must be nonnegative. @@ -164,7 +164,7 @@ def check_weights(weights: Union['str', np.ndarray], adjacency: Union[sparse.csr def check_probs(weights: Union['str', np.ndarray], adjacency: Union[sparse.csr_matrix, sparse.csc_matrix], positive_entries: bool = False) -> np.ndarray: - """Checks whether the weights are a valid distribution for the graph and returns a normalized probability vector. + """Checks whether the weights are a valid distribution for the adjacency and returns a normalized probability vector. """ weights = check_weights(weights, adjacency, positive_entries) return weights / np.sum(weights) diff --git a/sknetwork/utils/preprocessing.py b/sknetwork/utils/preprocessing.py index 23192485a..7250c1bb2 100644 --- a/sknetwork/utils/preprocessing.py +++ b/sknetwork/utils/preprocessing.py @@ -14,7 +14,7 @@ def is_connected(adjacency: sparse.csr_matrix) -> bool: - """Check whether a graph is weakly connected. Bipartite graphs are treated as undirected ones. + """Check whether a adjacency is weakly connected. Bipartite graphs are treated as undirected ones. Parameters ---------- @@ -32,21 +32,21 @@ def is_connected(adjacency: sparse.csr_matrix) -> bool: def largest_connected_component(adjacency: Union[sparse.csr_matrix, np.ndarray], return_labels: bool = False): """ - Extract largest connected component of a graph. Bipartite graphs are treated as undirected ones. + Extract largest connected component of a adjacency. Bipartite graphs are treated as undirected ones. Parameters ---------- adjacency - Adjacency or biadjacency matrix of the graph. + Adjacency or biadjacency matrix of the adjacency. return_labels: bool - Whether to return the indices of the new nodes in the original graph. + Whether to return the indices of the new nodes in the original adjacency. Returns ------- new_adjacency: sparse.csr_matrix Adjacency or biadjacency matrix of the largest connected component. indices: array or tuple of array - Indices of the nodes in the original graph. For bipartite graphes, ``indices[0]`` corresponds to the lines and + Indices of the nodes in the original adjacency. For biadjacency graphes, ``indices[0]`` corresponds to the lines and ``indices[1]`` to the columns. """ From 57cbeb1aad22514b5ada9ff8a32310a897d3fc06 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Thu, 11 Jul 2019 08:11:25 +0200 Subject: [PATCH 32/92] Doc --- sknetwork/utils/adjacency_formats.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index fbb8bb4bf..24fc9c6b7 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -16,13 +16,13 @@ def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], """ Returns the adjacency matrix of the undirected adjacency. - The entry :math:`i,j` of the new matrix becomes either: + The new matrix becomes either: - :math:`A_{ij} + A_{ji}` (default) + :math:`A+A^T` (default) or - :math:`\\max(A_{ij},A_{ji})` + :math:`\\max(A,A^T)` If the initial adjacency matrix :math:`A` is binary, bidirectional edges have eight weight 2 (first method, default) or 1 (second method). From d2626e63673654d9932f6b09e260500a2ecd1248 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Thu, 11 Jul 2019 08:45:57 +0200 Subject: [PATCH 33/92] Painters graph --- sknetwork/toy_graphs/graph_data.py | 53 +++++++++++++++++-- .../toy_graphs/tests/test_graph_imports.py | 18 ++++--- 2 files changed, 61 insertions(+), 10 deletions(-) diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index b51712572..0047af109 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -252,7 +252,7 @@ def rock_paper_scissors_graph(): return sparse.csr_matrix(np.array([[0, 1, 0], [0, 0, 1], [1, 0, 0]])) -def star_wars_villains_graph(return_labels=False): +def star_wars_villains_graph(return_labels: bool = False): """ Bipartite adjacency connecting some Star Wars villains to the movies in which they appear.\n 7 nodes (4 villains, 3 movies), 8 edges @@ -279,7 +279,7 @@ def star_wars_villains_graph(return_labels=False): return biadjacency -def movie_actor_graph(return_labels=False): +def movie_actor_graph(return_labels: bool = False): """ Bipartite adjacency connecting movies to some actors starring in them.\n 31 nodes (15 movies, 16 actors), 41 edges @@ -292,7 +292,11 @@ def movie_actor_graph(return_labels=False): Returns ------- biadjacency: sparse.csr_matrix - Biadjacency matrix of the adjacency. + Biadjacency matrix of the graph. + col_labels: dict + Labels of rows (movies) + col_labels: dict + Labels of columns (actors) """ edges = { 0: [0, 1, 2], @@ -356,3 +360,46 @@ def movie_actor_graph(return_labels=False): return biadjacency, row_labels, col_labels else: return biadjacency + + +def painters_graph(return_labels: bool = False): + """ + Directed graph of top painters with links on Wikipedia. + + Parameters + ---------- + return_labels: bool + whether to return the names of the nodes as a dictionary. + + Returns + ------- + adjacency: sparse.csr_matrix + Adjacency matrix of the graph. + labels: dictionary + Names of painters. + """ + indptr = np.array([0, 2, 4, 5, 10, 13, 17, 19, 25, 32, 34, 39, 44, 48, 50]) + indices = np.array([3, 10, 3, 12, 9, 0, 1, 7, 11, 12, 2, 5, 9, 2, 4, 8, 9, + 0, 13, 1, 2, 3, 8, 11, 12, 0, 1, 4, 5, 7, 10, 11, 2, 4, + 0, 3, 8, 11, 12, 0, 1, 3, 10, 12, 1, 3, 4, 7, 6, 8]) + data = np.ones(50, dtype=int) + adjacency = sparse.csr_matrix((data, indices, indptr)) + if return_labels: + labels = { + 0: 'Pablo Picasso', + 1: 'Claude Monet', + 2: 'Michelangelo', + 3: 'Edouard Manet', + 4: 'Peter Paul Rubens', + 5: 'Rembrandt', + 6: 'Gustav Klimt', + 7: 'Edgar Degas', + 8: 'Vincent van Gogh', + 9: 'Leonardo da Vinci', + 10: 'Henri Matisse', + 11: 'Paul Cezanne', + 12: 'Pierre-Auguste Renoir', + 13: 'Egon Schiele'} + return adjacency, labels + else: + return adjacency diff --git a/sknetwork/toy_graphs/tests/test_graph_imports.py b/sknetwork/toy_graphs/tests/test_graph_imports.py index 7c3f9fc97..53e4a595a 100644 --- a/sknetwork/toy_graphs/tests/test_graph_imports.py +++ b/sknetwork/toy_graphs/tests/test_graph_imports.py @@ -3,7 +3,8 @@ # authors: Quentin Lutz , Nathan de Lara import unittest -from sknetwork.toy_graphs.graph_data import karate_club_graph, star_wars_villains_graph, movie_actor_graph +from sknetwork.toy_graphs.graph_data import karate_club_graph, star_wars_villains_graph, \ + movie_actor_graph, painters_graph class TestGraphImport(unittest.TestCase): @@ -12,11 +13,14 @@ def setUp(self): pass def test_available(self): - graph = karate_club_graph() - self.assertEqual(graph.shape[0], 34) + adjacency = karate_club_graph() + self.assertEqual(adjacency.shape[0], 34) - graph = star_wars_villains_graph() - self.assertEqual(graph.shape, (4, 3)) + biadjacency = star_wars_villains_graph() + self.assertEqual(biadjacency.shape, (4, 3)) - graph = movie_actor_graph() - self.assertEqual(graph.shape, (15, 16)) + biadjacency = movie_actor_graph() + self.assertEqual(biadjacency.shape, (15, 16)) + + adjacency = painters_graph() + self.assertEqual(adjacency.shape[0], 14) From b2a06ee959d0fbb86763f4e0b3b04aaaa7cef5b6 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Thu, 11 Jul 2019 09:02:03 +0200 Subject: [PATCH 34/92] Normalized laplacian --- sknetwork/embedding/spectral.py | 37 ++++++++++++++++----------------- 1 file changed, 18 insertions(+), 19 deletions(-) diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index c069b2eb0..2b3fe2345 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -13,7 +13,7 @@ from sknetwork.linalg import safe_sparse_dot, SparseLR, EigSolver, HalkoEig, LanczosEig, auto_solver from sknetwork.utils.adjacency_formats import bipartite2undirected from sknetwork.utils.algorithm_base_class import Algorithm -from sknetwork.utils.checks import check_format, check_weights +from sknetwork.utils.checks import check_format from sknetwork.utils.preprocessing import is_connected from typing import Union @@ -25,8 +25,8 @@ class Spectral(Algorithm): ---------- embedding_dimension : int, optional Dimension of the embedding space - node_weights : {``'uniform'``, ``'degree'``, array of length n_nodes with positive entries}, optional - Weights used for the normalization for the laplacian, :math:`W^{-1/2} L W^{-1/2}` + normalized_laplacian : bool (default = True) + whether to use the normalized laplacian, :math:`I - D^{-1/2} A D^{-1/2}` regularization: ``None`` or float (default=0.01) Implicitly add edges of given weight between all pairs of nodes. energy_scaling: bool (default=True) @@ -57,23 +57,21 @@ class Spectral(Algorithm): >>> adjacency = karate_club_graph() >>> spectral = Spectral(embedding_dimension=2) >>> spectral.fit(adjacency) - Spectral(embedding_dimension=2, node_weights='degree', regularization=0.01, energy_scaling=True,\ + Spectral(embedding_dimension=2, normalized_laplacian=True, regularization=0.01, energy_scaling=True,\ force_biadjacency=False, solver=LanczosEig(which='SM')) >>> spectral.embedding_.shape (34, 2) References ---------- - * Weighted Spectral Embedding, T. Bonald - https://arxiv.org/abs/1809.11115 * Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, M. Belkin, P. Niyogi """ - def __init__(self, embedding_dimension: int = 2, node_weights='degree', + def __init__(self, embedding_dimension: int = 2, normalized_laplacian=True, regularization: Union[None, float] = 0.01, energy_scaling: bool = True, force_biadjacency: bool = False, solver: Union[str, EigSolver] = 'auto'): self.embedding_dimension = embedding_dimension - self.node_weights = node_weights + self.normalized_laplacian = normalized_laplacian if regularization == 0: self.regularization = None else: @@ -96,8 +94,8 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': Parameters ---------- - adjacency : array-like, shape = (n, n) - Adjacency matrix of the adjacency + adjacency : array-like, shape = (n, p) + Adjacency or biadjacency matrix of the graph. Returns ------- @@ -126,26 +124,27 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': if p != n or self.force_biadjacency: adjacency = bipartite2undirected(adjacency) - # builds standard laplacian + # builds standard Laplacian degrees = adjacency.dot(np.ones(adjacency.shape[1])) degree_matrix = sparse.diags(degrees, format='csr') laplacian = -(adjacency - degree_matrix) - # applies normalization by node weights - weights = check_weights(self.node_weights, adjacency, positive_entries=False) - weight_matrix = sparse.diags(np.sqrt(weights), format='csr') - weight_matrix.data = 1 / weight_matrix.data - - laplacian = safe_sparse_dot(weight_matrix, safe_sparse_dot(laplacian, weight_matrix)) + # applies normalization of the Laplacian + if self.normalized_laplacian: + weight_matrix = sparse.diags(np.sqrt(degrees), format='csr') + weight_matrix.data = 1 / weight_matrix.data + laplacian = safe_sparse_dot(weight_matrix, safe_sparse_dot(laplacian, weight_matrix)) # spectral decomposition n_components = min(self.embedding_dimension + 1, min(n, p)) self.solver.fit(laplacian, n_components) self.eigenvalues_ = self.solver.eigenvalues_[1:] - self.embedding_ = np.array(weight_matrix.dot(self.solver.eigenvectors_[:, 1:])) + self.embedding_ = self.solver.eigenvectors_[:, 1:] + if self.normalized_laplacian: + self.embedding_ = np.array(weight_matrix.dot(self.embedding_)) - if self.energy_scaling and self.node_weights == 'degree': + if self.energy_scaling and self.normalized_laplacian: self.embedding_ /= np.sqrt(self.eigenvalues_) if self.embedding_.shape[0] > n: From 6802dc94c6e9c08fd1e645e199ebce6ba73219e3 Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Thu, 11 Jul 2019 09:34:39 +0200 Subject: [PATCH 35/92] Logo --- images/logo_sknetwork.xml | 1 + images/logo_sknetwork_long.png | Bin 0 -> 38523 bytes 2 files changed, 1 insertion(+) create mode 100644 images/logo_sknetwork.xml create mode 100644 images/logo_sknetwork_long.png diff --git a/images/logo_sknetwork.xml b/images/logo_sknetwork.xml new file mode 100644 index 000000000..75398235e --- /dev/null +++ b/images/logo_sknetwork.xml @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git a/images/logo_sknetwork_long.png b/images/logo_sknetwork_long.png new file mode 100644 index 0000000000000000000000000000000000000000..eb959b0bc60bed34969358343570698e7ffec6f7 GIT binary patch literal 38523 zcmZ^~1yq#X7d{Gz(hW*?D2)n8H_|) zzt;VJ_meeivDUzx_v~js``K~MgsCXK$3iDXM?gTpl9iEELqK>6MnFI$MSTXm(@=xc z2mC^I7MImP1%A9yKZYV8JX!VB&~~wNfA3`CXsPJ%(aaVBK~ZC&GVdMkU8>9*9Euub z8OjA3R1Ri9f>^Z!~#>)}Lh zzY{MudTC8FjaKvtS&10j5i?EJN+V(y{Abu8ag+S)yVK9qDi#^hyY;D5A(r8_K(t;G z|4KhWLZM%n_0#2q>71rRJj zlY|8vgqVVZ{Ai1N1y^p&WrHxyKA^7hfwg8wTG@OXz}#c88^YlVIkn&4DQC@Y*&kF} z$J~~G&f3nBHzLxi3l!ab{z~h!7Qg)E3Zgbbjta?jAQ!*V;lebU>-R$rjrbN7e>1|@ zi)1gVYk5j{CZRm62J`QDj3vaa+(ljn6>Y0?4Eu#b?*?9;;OAMN4fMCJ;r9tVyGQ83 z5S&QLv{|#)Ee+$IWmn^SF&OIj{?)|3Ho~&?Zvf%d1@X~!bI<=ObPb19wO+|u^{*A`XZOz7On~s7Z7vTy0 z0Q!-S1u2+Nb+StE{3nwjOX{l09kUVAVGS~}p|8(M$RteE*R_VJO=xCj95KEw`Sh0! zNW=P}jIpy1#x0z(&;v@I2;q**3TclcHH^bjZ1+8ufx^3~DvpG&Y}YOYbk)gx zaU$O_M)v7spTqi|MZVertACNSX_74aDA8ELQ#*Qo?){O?b7m;pe@=tLON3sfgSGL8 z7n=KSl;&yWdE{yqw6h1s&4Eu0{Jr|wT~JSe|h z-b>{6V1EK5rWvzI?IRBVFs+P7ah*Kym86pf?!sB5nD(m&11~I_qDwdC#p#S# z9IYHjh6ZO!0L>PK;E}Y+Vuh^UmrjBv{Ge)?r;stbMcC6@RuQRRD&4!14hq#TQjYh& zFTC*NPwnrQLA3rEEvK6P>GX&zitN_U;bCsa@!>@K_bnCr-47-N1Zo6XNihv~Ls$k% zGK17Y;|(kz!2e}&XfreIGYt*Gh~c8pE_|%e`)jO#51NET8i|OQ#Hw8VTr6L^YRfSK zkhTKxkTJ_cX|Mg`2(`gu56h4@KVgB+t!1TCd}Ce)Kd|2zIDnwgBIUU$hxVC4TSj9f z9iBy~8gb*OrbU{?Nv**CszB8h?=U<&%VBbicW0Gs_BPFIuJl%z?BEu+Ow}xtFG2VO~SEf@SlLs?p>(Y*`L$jg=fpV*z?VfR>rM6Yy1Sc9Jb(lRT97-`F(~~kE2%E=wa!d`gGD%t*L<4^f(Hy z6%qi)f4n$9BeTM=*JLRcX(GW*NuNEt07EDz-eE&w7JGAZwV(y9I$pQ?@#gy$iU0Wc zKWkRd7@IV47Y$KleCry9G|eSigjhP)(b1=`K>p;nE^O|t3lK@%S`}C~xBR(tMN#|< z&ZO_Vy6xAM!UQxzyDZ&Aq;@*=T;b})h6LDfbIF4aMuAFaPlDEU;pER~|M{v9`5Xj2 zPiMJsVFsX;Ak4Y(mD&-mIWuluxca){6O`-bH*;O%j_@}#5^w>}pqcZ=MF5YNM{9LR z%=QZPo~@zLt<6zz?v=L58gGt@>+-VGiJY(c?=2*E83T(55O05aCtcGFNqct97nbEl zv4;4dxGtdm8-9#PnHOUIUw#09#FYi?rx(?#`rP%V^`s8vql2n^)wdnK%Q;&uoiBB; zKv>hl#DbPU88bDE@xPhcg{&)Wd?Zzyn1So&MvAD$;Zmo5y3~(FLFRP0l1P!<-r#&T z9tnNI^Iwz#c(wyX7jbz$biF>*L$6rvBM`|m&~{sMTNzZf#wf>uuC$}x_ZMm+TvDHH;=y?|Z* z!X2vNTBfQO*bLRysYixE^!vTxb&IZy&~_N5p_U@zB-dDV~65 z(C_)mf7n!F+xN(T-hBdBIKeZgTMB+EHQW8S&7A(8sM_-tArQR`Ipa@m3c2tHQaLds zDD2I`r;ONu2Jhy-(G%g3o(N1eGZMrHQI-bJE)8YC z+OrYpZ)AU7SE`s%qdJ{M3QUINuFkpqYT^TZa@cpGztZ9{u=kY~KD%5V!Gjm1Z6u*6 z*aM+^WYWBlmp6Kirsp+3hpzd5CH`%JQhGpO|TNi4Engmh@ z(x86>`E5Etjo_?of7ptp+rF*qxfdFwiE7}_3|Fx|Se}PtN%Iv+WqF=Q)8E8Vg$?l1 z%rV#oS9@7VF&Ewu9Gfi4D`21sxnVfBcKe%dM49`uf|!fP)kqOrpSTzf~<;HB$B;W+%aothB~y?sN`vg$v`{P)T#TmW!HPpB5R$Sd^DO5CRHXL_NT|4m8_8Gs!@ z)gg@~6Yv1QN$>4axArSa!?Vk5`^xHW%pBmiIi-xysQ>criCeU7H(7jmMQswfu2bTmw4_NGHMpOP4 z2cp1kpT>l=gt4tSO;J8HpJ5LNr-)UU9)1)s&&x2HUPR%w|BIhu9{IQ-b8vJzrR*nD zG_{~ie||Y>bl7>4RJr(5Wsi2v1=BUw4e}REnE^}-ep66x%O|of$bNt$lKz>}fb()4 z=dmv^+>A!1;oyW8M%JfgRJmYcq|LHj^#6rs)KS1b-uX%x=*6}y$&CnUY*PEroAXEL zX^jnMo}EDJ5};QSqa|D4SJMsB?BX&2E!y&J_V^o+fdDTU1Nks3>9`r zNVgO|j2t`LxC+yhMYD7tUKL7Vv7% zvpu@EBNnB$F&526x5MC+ll?6k&@tD~I=$D%5Z?dHV*Y!8V=FQ}Y;*;$Hok2;H2(^| zDeI}y@X()#qHT&9&sF%1V6O6|9elEcmP8sTxyH3 zK>_S(R_z96kk`1kuvWI(iB+LiAR&^7XMa1OF>&*d0nKs!r}GdAEGdCSMg^D(&MkK* z3!=5#JG?CaY4YF126iVZJRgL{v6^iMMfm0QEF4`?zxj zvOGJF{fedz38e?#l6AgxpLME>A>q>^ic-rVyA7K0K|@xP3px+%Gp@g(G|B{s`qlQ! z)({~4Jo0E=R;k~+g@O~Oz85{T-DP$7o;6+!c{Jm&q=_;K=y$`thVA?A|C-PqD`wK4 z4fVN#tzMp7PmyPl4`8S_r&c`qRKewE26axKpu4u%x{OyfON_c~~pYmqw}H|U?TypYmy zQ>?G9KtoP9Z9=p7?(?6`3a9_aM~#rs>7yT}K*Rhd_o8k5Q8JR6-nPsuyzS{@~zBmIFW7X8d&D0G}qkiCx`}? z%>oc+wxV%yPd(augHG$*m1_~I+zl`Bi9SJ`!QJ`jB{OeesAy{cw=ON)7Jy-xQNPwt zY8TG&{Y)L-mG@OiN!iBDrBwKHBKb1TMW_xC3vzqkpwAh`2f?w`H$AyC-fjOK7s;Y; z07c)JTA z@Eq~kUSjyG;gHUl>YH);4j6s9DDO>dAoTSKN65t}x1#Y8DtQTwoywo;d*uV4?B6`l z|DR%rb~$I0Rz1OhaCdVo)*tT*8@LK5>AsE09>%}>!Mo~x5|Vi}Vo}MwSj87@1QcK0 z@Q%UT1yy2y`*RXB2%SlS!7#EyHZ>x=2vnuftYK$wRGlTf{J#lL4flxr<Oq5G=x$Ri#d8K-)37Xn6q|s`L7wTXe3O{204euB&>@nJfS{fw)H! zim2TGt5udPh-3cNg3iyuHi211R$(m^VXax?HDhDW-YcdX7ghY{3pcR3u`7>#LSg%Q zNL?V5im-AU-3ra6mVyCxPg|kx^#+k3`O9Z2Yj3OnaRDa5KWi^NuDx2dYc`w+y$850 z0J?Iy*m1M{-suPA#F?sPw^bj9m)ceHzc>z8gqK*?pBTD!41TyHhvij`MvcPb%rfA{ zI8%9V{QGd5<%C-FezbpL4*u#7;rn+y`9I(vkr(%cfA6-BJo4gh_r5wF)vVON!lF1S z4m7w8k^KGT1)Hvmxp-E)0UJECND!i2UM|F2&kmGIt;hRt3syi#67Z6X65)BZUxvOE z-Fk`KwHeB`11SYx8}dKXiye8u>m8v(0zeJrVf#fW%VR6WO|QXv#slBvkP7zE{KphM zA(dwrB8vXEaSK1Ka7Z3LIC|GFJNjiPL|NAYKri)*^{bo={5^%I|HX;mu+Q6~MCo=wbt=j}*}Gem<*S9( zx(Zrolxc5?0G-Woc##Z$mMTwt8q@SB9Wp4IzH0LA z5Z!c1;7UkyzCJPem;Q2=BMYL)xo@!nbri|I9G`2GNdm7$Y6H*$x$n~^aJlr!6c`kZE+v$JN6SqN~Dzvr|O|w;V05AUP;EDoA4anCEoje`1YT2)eMi?jV-oWa{qaav+L0t zjeDJZwV?j%oI>&Wr>V4Z7atQMF{Xd17&5jQnz?@W{GTWd4gx$9_Om_+DoJg+obI_- zk|q<#aM%6i!>vNeO+)*|3K?D=$$25%r_N*Hkg#DN=ndXXf{-F+7JPuo6nj;vY?CPx z13`1z?SuAarvHITQY3j=v&ISzw?9)uueCnQs)mk8b>ugVXhJfc|6za1BknFBZA*FN z*VB=-u7}yJtC}7f#nD!0!qlo4n_=Ds&UMW<5`(SLO55X^p7=ZFB5I_;8H$6*&jJx% zz33>z_fq@@U-Q8F_&X%kJcE#@9-?A)GGI@UdwsUi6b)-G`&UCPI{5fN(2|5_2MDK4IX` z0m8$dbx)csZB)G;zAM*RU2F-}iRzT{%`8!zOr$>oMTJ|qY_qUz{c!3q;KQ2V_d|0@ zIRD+W@T9g1teNr^4HE&eqo`74fqz1Kpy_5qvO}%qkAxy~+#lb|s8&ganUjf$_#}sJ7bmq<})tpBcEAy0Y2A;rWMF1b!Z2`LcUI?9B5xPE1AvtTtJh;Oi%3UA^w3- zk>Wf(?#?>40~20|+(hezOTE4PSQbQx%s=mRxQS8P`SWc?>bymSfXH<3xV+v4Ym1kh zZqkDJ@x@rL@WIc2>CB=6pmdTJV~>vZfC4@p*_$cjP^o86Lwu^YF9{8c<+tX&Oy4fu zv4rX;d#jY8daJbi$o{6R`@VsKe-rU(J0z9Z(`w(4-VH}#|MimCz3;dABIv)mQqi>k zCt7tLqcu7WNELSN)-$C>yYq@CVO9pdlN4js0A_^7B63!Z$!gCL?kNqB;*r8lOro3y`8{ zWA2uL7KMaqm$*03_**taH{pfs^qq9|w?Ym5WeW9a_ybRYK*iyE-WyA>{tB*Q4*ti|FOQbO zHl=gn-%c-_@!y_x1A=t3j&?hJ_@N#WruJI@<)@34Gq=JsA?;Xbx)7_ESAVzIzH$Ky zCx$=883cnMt_9T5sL~>wGp4NtAk2_ldH>7lEYk%(TduUgmm>oCS84ArM*V1Pouvsc z-ayN;_uanHs`uU5T&JX8r~F6t!^C1Q$^2+@kWpIPFOZ{XG zH}vfZD{d6;4hCaK(-~ARN@9gmb$mX#X{bW_-_|*^?SOa%G+z-*>y4|sO(1_j6_iL& zj{3xDnB>AEiBK12_H6`*Talm4=7gh@UM#6H9>-ATmdT$3@~`f|UySx2TY+4OH?XiQ zGtIEQ8$y@X3wwo8R=Ue>hi*@tZC@3NF;BZG!CeI zUg9ZXK*B_o-0FbB2U4Zqa_n|}M?sg`?Av}e>$OAa1*@U$et%LH1?E-f_s1Y?N%Len z-ij8g4}k*1_=*M7Is*O&OxItYjN`A7+%)|& zSC<+vWob_sA=9C~Aw&_S7I6vXSo7%9zo^a`_)iv`1gZ}tzL`i#s01*NrtNcWTJo8C z4Cq8+s*19kLU?=Kl}#_SLU-<>lz(}&lJteEmc~r}5|@84p0?2)O$HKPEZNyE8J|+L zCW*~FaiLp34)>^#m|m%kgZh;bqoiEk^vvMYY(*6JU~D6R4AD6TEm+ud`St&Vr-gKIg{!lV{-PY%?Xdqv^0f zwmrBbH|at(pIzS94tUNN*)AOJFCK7pEcW;4?N3QFF#|Y<< zeB-wN$g9Ysyy~~Q?Ap-7J6O7*S#Xyk0lUuqN=PFO)yG~=3{8rI6(zi~L(PgLqVk3N z9>_vS0^4cALO=foRs)bHFxdepG2tzCJp(HxN|Y0MdC$R1j?ba*0n2ugy&X=tO&*6s zql}MAb7E@3i#YI@Cta58nhbI*p^*~M3d8p6Pd9LggPz+YHU;?JGaRCS^#wd@Eq&XMLcNPGi{X;F?aL^$}?q6TTrQ)%CO7Yp?Mdvu%gjkRGlT zngi9P`d-joyyvf>9KI^bVqg`ZMZ}txT6@WTJ1ZQiH(#+2Yc}{FuN6lOgY zNXWjq(2V|(0fZJR!&*qHic{qai8W5py$m)=)ch#oU-M#2lVv(iRbarU4j(glA%UE?566pCviByK++N!adnCG6X`PAV>Ap%0V<@Q zd`tdC&SiVzQ8kd zrGO}?;5T?Op`!`$X4sZtg>4~k_5cL2W&#LuP}D{7mh{ZJ8a{QRFScLmx;1sRR`R^?{{i($m|YvaKKVk1x+{Km5GmJE-RAG(oCK`5M+d-m zJ&$8EEHcwY73+NT9PAu${McPK5FE8voU5;4KMoi~?SXLHlr{r0ZK*5trS66C-IjXJ z&jzc-yz>Q%tgOIUw{~IR7!yZb1NQJO=31Yk#VoSzzLK@oNagLH_w+l4nx-Pl^}s^T zkMwBSHplfk|A@7h_Vk&#NfQDql{F9-WB_>95{JQ$Lr>~ZfRkeL=9*5u_S7Pof?YdY7qWMugsffX^ZAL4XMAas*s8 z>X>oZ`aZlk93gHFK#^f{{n2WA0L6?`XyYRz2$=vzd@`?_t*$0Ra2kwbP=>kiZ$H&A zP?wr$g#fmO8;LpX*Sq%X z09*V8Dm&%LtpufYH?BycXzF11G!f#bV@o90Mmg z+v}1X6EABr?rNMeUJmq~*dQo^W#wd2*MSQ%OMy05 z!yotEy;Z-m<$NH?W@)tXmvRi{h;&^v=5!)s0yN1k_^0&v%?iN!%H+ZgAMAn4W?Om@ z2aH+&9GSfF7o%}>!wS^@VJp{^F{HU36t)=5Ocs$ebM00zRKd&}@q*Fjq39SVp|j*x zYEv#jr0iC8vsKKWkS{7y;~|F`Ljzt=J9^paHq+^rthP2PNz%t#w*1GQrlQ$l|Uto&Fs!K-W| zjM75nOIGo%%%*JuRq>Gm*T^&8%=Y=-l+SqDYVPdRLBwOvZik%_$B;ueVGmuMep)Rb z+8mWH8-{|`{cPyeSCD;U!rMoxxtX7kOcROol6p%hAnD ze=64sZWs1>$+tGXwDg*nyub|`E% z;xAP!aU11s{PL|I%G0=fD230ULQvaS`W`kdB+tV&+{bGZ9_hI0*f1xH~7tqh6m&>urOhY{%h3pRB!iaJb0}Vn2A`RA{`W(aF90g=v z_pi)U<+WAl4hH*gbCuauX@&whu8blc!f}_S*M)Co5}s(BYqj`EposNyAaQ)_ED1_q z&jE)rAFF5=uxXhVffkIT8W+!1ddP0HHi@-TLcCRfdJL-fu2g=}IW{Pu5&k1yszjH% z)z6&Xgu5Ozwl2YZUfeUx2VZaWMsC(B{2H}8Lwf<1>`|es-KI{s(-`p5E&PP#Bep3+ zq|X$lk%jmt~!!M+MzmwTnh?A+d_29dnkP)IQj zhmEMn4$?(q^z`xzL)t$9Q658-%xwl)ZU{LC8{*eJTG3)nP@Z8G+-7yVXl z*Ui42ZVBg)3`I%|AmU<_VFguACL{lOonvj9!t;$2y~HWiJPL^&ERBj;Oq=k6_P+2( zYom0RPZavMZhk`r!z!>*QMaVCN<@OHgN9WA@c;&t03=*B8TfLAXJrXj&S)w({M%cb zFW0s7V^+ou-yKfKwZC)a)4OXwJs6oqe&uW^^mq5H>Ps7yqabt;97#aSODNvAetBx{lAm z;YOm*!ERpP zEBg_(RKxumml3fdZPLsA zI{c7;QyTN8O-`@4uM{8LS<)zTpf)|PaPpKnq%2=%-_)dOheXD!EeJ}SDc2(^{Ov&8 zdn8Nb0hmO$Y$wpT8uTMG(|;Dd01-KDG>oRQ!;WK4?GwBjuxz95`%oc=34W4DjGsU$ z>Ri3wR&?1li#HY~ggY8iCfvGh+zBTJBr@Yk z!j-Z1Oi0NoIFU`S@kc4BETH=)A^6v}T#w4e6YXpF<7vV1+ICEx;T#vP}86elY;F~_3J=`L>sMka(-?y49G9Zma4k%B(xk4wdt=5US8r~r44KkZ(kD=X%fYs zk)Sbgxhc}p8|ekF2MT-S3~qf5#eEgIjnvDRiRR8D8oGTGfBXAY7K&wvU>6fT?3Q|U z=`tdYJ)~`r(6{mp#S1d*x*Dd5s}0r6dGaKi{>DUv6Cz1?m^eL$h_ex^gai$G<~F&Z zxbp3=eEjRk86@O0!Nx%8*5g6fz7x`m+yrLSNW#n?$z|~-ZPTWH#G2WfCJ|o_O*_ID za8uQ0-*C;zWQOWpORiy(tD(0N2!`m)2Z_;bi<&LRmtG=(7K4GK7%eN}0Vrr*!{JY^ zRJgmm%^Uwh{58aHJL$<`H1fvt)H^8aLA-_S$ICQZfBM2h=p~6da6O7qi4xOZ!h~hk zuNE(f)ib;_vArcW-!q3A-1>3+RQT=A*&aRAxbEYTf6rje6@PYG(~AzNtN8^9BhLx7 zZ*xh;{jJ8z4Ky)(*7|ceX^e`YZ5U_HGSetHcM7kIzBb#EtAT%xEJdz{6dF3T>92if zn`MRlR2uKLhb3_9WZi7`Uc6i_fRy&y4uq-nqZ8y};&}|GdKb}gLW&k>qlfL^RQYuz zc?ho=lGr>XK2cMtPN5IL9eY++kW2lPFqiP^O;~8b0pUqk(-01l13KA96E}XU%rSSR zjW+@`=PMjfd#!}sh2M8&Fs~fHAq!aQMm^H`onq0tHheYg)k*(yJ>bt6EHIReQ1UrX zAa_GEycvfEUdWlb8p?T}Ib_D%sh+Zb73qb8#6Z4~eKW`$ttFdM3MafWm6D`LE3+#B zGf5gE8*LfB+A>%^^b#`aNifcBDv8m}V>d`c3*0aGt;~0>uQP|bNkwjV(rI9;hDB~DGQhFFRSPU# zi63oyL@RQdMp%6CzSS)l(I4RQA@6O?FABIBtRZyh&-|NhYxXIvzZ5jGqOrAl7t5I>?Z@u~Bu7#J z{lHy)2*p@KxOQ59C@VF8by(kP8OEg?a}zhP({r#yRq_3qbYJI}Ybw6W_eT+v`5S08wMTJMG2UFD;5J!nXxmbvM&g~J>cTG0L#D|ma z{3I@i-z{lfk^B*%KgUXX+s0{rUuqNau&igsFQN*2M5D*H)$}nxLlRG=hQChaN_dDQ zCX8)Xzp$qbNJ_HFHw?}2+B!%Kg0AFSr##V_KXATc?u5?{Rgs-Gs&~V;>0$UDmXEkx zw(*~(e~zMYAum3z_}nU0cC>l+l!#W&OGiD>08G9)%znNi=PMD&PMKc%mJ;<`i>8Ry z!{G#|R0QKaslF8dlmHjU#(k-0ROB+m#pRCaPtC-r3+uM0tW=NoD7_CMWY00jM`|fEcqb2kRor6z&yR-EW4Sa(sajgevFWkBZ(TDPz*ZDxL{{qn$r0BRS0$ zDBj>vhJ9OPio%C>@TE}xEZupjY6d?Rc}NO1-IkgfS|P?pxMkjp5<=OY_-(I_9Wk(OFl`>Zh-Xdr2$IE_hs#m}jSL3Wk&g5+XkqxITtl6=b>CH1_ zy^MXgF@wgK8wiK+2=DnHiu)P#3A(uCA3 zNkjOqOxIEy>=RvFRwShngcKSkNu#*xu(8^z+d$+`frdpiXQ(S{t>$$lhTzQmWadL_ z8IhA|j}UB6yR0WV?V_oDrFqc{)REcgmKMfJv zmIE)|44-D|Oc`IZDVC|vn`zBu6`y*&JP3*!_!`8lhzIOlE?%<}>cj@?^LzPBY<|-# zP9{cBfb>LkK#hSBU6B_90$e=wjZ`{Z4fVyNgYnQbV5rJ$tSFhGCbW%L_JkVW`J-FC z6ptvjq(uyiuk5DGk;ZkyTL#|f$N;&sGcP>@%?FX;9jAvAo7OEPzxKFZ zZc=2)F8~HFTg!NMSC80Z6e2_7xb2i~L6;Bgk<#O1ok397s!SkHvck?UW#rQjWaist z$%-~pij^)-XMht=2s>VRC0W9f9SUMDXSlTKk(4O**y_wXNgi~MDe{9k23YME76NKU z`yA=jEAiqF_!{-m9><(|^K5diTYv0cfCn#r1dG~w&X3ItrRY!F;kuH9KT_wea<}l# zN0P!CQjIYc{~Nx)5v>?m%EQ?2-PFH+9qeW=C z(Zncz(nrk1FvnI)!|wdKDSkOi<-%i%Gv>|t>9{n~eoZV}8eb5pSH|hEKlvWSQb_Hr z8r>9t2Wn?cTbbdy14`Uc0TXf1w5XU zzCo$2URuxl^nb4-8*Sd5DhR+`@xlAiV4#~lO{&J4`K^;@z^e1v6OP?9%d}E;TU41CNlKe;>wuQ)lx?#C5l~87KWaFL zM2ydp#6#`l=qyui44zn-62(OLn8exp0BdnAv9&Z~WFB~VPv5j9NjE!(<4>)tLiDlC z^ou2=XU(Fnm*r=29F`_-Z1d8ik9=ufB&rxz3*)G2+FM&U@2pu4N1qUqM|r(|ArNgbjtZx?O6y3r@B( zG%#UFpI?fWJ3aW@pS^!<$Xb`yq+Na$&Zw&<^E+Q;hSlc$a0AJ_pB(Ebev)k5C_8PY z@QB?xq%rOM0?*YFH_)KjzCt{Hf-yD*kKssl^Dcx4v)l0_L-|vSAlErUYiEMItOmcebV|8$v z?a;uk)+eIGqvVSs2(;{g4v0+O2S)8c;xBle5!mnSz+cn z>s!EVz;y<^nrc_+W)Vt&L5Sh*z=pfI?X~*aFYkS2=e3Ai%3S1i1ogWLm0zP5o5y}F zw?>sC3`zTcj-AjtK?me|XNtoI+}{v}mE67brr~Aig7wpOW2z|T;ey4w^9)8rd?z0g zNsrCX?wKV&zFipTnPxF+4uW3R%}JYFu#@uOA$q`>HsZY+hf3Ww61=LbZA_Yu!`W-U zezl^i8GITbZ*1t7b_Mo>uUneLKzt< z5Kg94Ox0DkOh72VB1=XAF|yd*WG;VZ0(ws}HkkfU{M%k8wkR%W0wMM6Z@W>yS1%?(EI*v?ImByG6cJ+tG@y)(psBLMtyLs+dP6=ixt9cj`!9KrT zB}mQVruU@B!~+NWo&7ja9A|oj=URUl;y`YQ!NRIi71}ybRn?M0Jm(WuCVj?J{=rop zRQ3#2v_*lzobIADXeYO569M$Dz_P%qzfr{^S-AK2+ z>9(i@4NPtTs?fb#iLb=etG}|yJEPs`8g=be`5HT8itja~vV_95Q}?|w)!93GlLx8N zey6TNVpUew)l_Q`Iwaq4%~>urK;@>6*@-H5Rgo90ajzDwq&pue^2H7q9$DhQI_f3w zG0Zj1tenh8(~h#Qat?hIXQ`@`)@UkKlxMQ@K}-;rZ&?C;rQRvm%&w=sp+7TATSK3_ zl9fPYei2!lg*$#>hjq8F4xb5bZ+Y?WeDc69KT1y4paON|4}PInCJlBQ#4E!ot>xaO zrz4ec;b@%zOFD~zCTg_9hU5cO=+>MaDmg zex+N|yB>y5-*li+rZ&%Ty+IedE+BrkO0k<)x+m#br*Bnxh=Bq5W0A{-!)^OJU@eAe zn`*cRm$7u2p8j58bKVW6IwQOyx{zGjOef z3YR$1A(2^6u;QziglLwu|2Qa9y>MRGq2jk3nysXg_(c0q`%H%R9_Xib!<9N zS+VrYBxyTntR!Z;HLK>E5Se{F4Q>0XHY-eb{=hBr?ZF}4-gq_|B;V+R^4DY!3^9Dk znglzqGDJ<5z{O6DKlWIyep_MEFz#8dJ1(9@Pxgl%YM9d~U1dLONr+Jb-u_*skLGx7 ziB|ES?qnBC#rYyeAVPBGsEGOJKYP}A4=xM|6^D7G6s;S>`wbbmUOkcZkl0Hro&4yi zY#UxJk4_I4(NlaPV%u%cvL(ueBZGL6atfLaZQ-p-5yek|q@fSiqd+gkZwe_LI%)B4 zG^CE>p3Imd-J!#PD=!LLT|IS@$wC46Ut*%H{8}SbRmr(FpLWoQtNJmnLnN@){|h6I$8E!lUzMWRDXx&5YC~l*28{2h$2idCEC&nSqMOGrfX4KbDbGRgzGkP5bSeFZe?m_@hk-w6Q&@ z+y#E>E$7bWk4}9(7drc6F-*e|^8r>262H}o6iV0XTE5}?{1a6g zM{?tkrxNjVlcY8DNw3~TY^S3%ZKl|>uxk3MT?*PejXxgnxgTv-#4=U^2oe3Pk^lED zfPN5O%aBm$9j^GnS*Z-YlOF32Mr*1$;{{@1NUKfzPyChl8{{FsoVrH!-;kIEZXPaV!o}5L?;GTqOq+|Nl!;U$sDTw=)g6#E>Z*%!kj;F!vnQRdj6n;ZAoL{S{r=?e`^7}EgzV_ zY2UiQ9hadLXX_Hjt7mi7qOf|G9Ma8Wcb<^BtQ+m15oRC!&L*h3GieJ^dh=TCHuS65;*!p*6AA$WJxOBl8B#lmTleA*1CnA*fM z!lBD$1D72+U#|26NpJjYOVvOf3*){@RsCD3wzVXt`79BG(V0yLTolA7Lb0!Pc^tBa z1%CpUzg%t@UKi=v};^+(XOn+4%CH zgl=m^)H9C9?wR&R#H0Co8=h9(HFSHuK;Mo^e;AJ7U9x9Sr7EHf(%i)TL}p!7MtiYR zNJ7?XM?O(f%kztZ(d0$V0W;C0Pp@{yZr4DAcZ(eJok@^)O^H55+1hcwi7~-zo(x)U zaiYGxRvV2EJkcWW&rH>Sg1BaP?ebAOUhO}fKJAFweeoR3RPuOJnc&-AUuvXF4kAPlrCKn`uSCF|0%y<8dYkysu-2u_#a7(i`Tu7vFE2` z&X)q9lxYvHzVIhV{)^_wwAD^9a4ZE=%r-}?@HL2P3K4MaD{k3&yEF3QPu=zx^R`-S z#nj)09Xjl+&~BB&jSLt03LE6VPfZdFJHVVg#W$+2Y@;NvEltlj%BE1H!EI=1nv&Q# zcr(CwM-U76dNRr&ciP6OyjO1_Y1@SK|Do$E1ETJlw-r!IX{5W6lw2Aq>FzF(mRcG_ zLAp~?=@OPySh{-wiKUT_l@96mhtKo;>-PP|hr{m9IWyPHnYhjgx%;xZ0cF|1G_kU&#&Y7zSf5HVZnL062S?E|GAn1a2vLsa&8EyHv%!sJ z>B0NlWLL_-xEQ(zd8~tpAA>e;;P2vSS7}-~o)=&KiX0te0tM;wDerveH;AAnulNB^ z)w_X5Z$H3~V?37$?A>G)= zf0|5Tg01_L#%%Og0O_(d`s4mWcC@$kg1`i!%~2#Fc%Ly#&+$Oi%=A4bMFVVvsb%^7dew1FzOyZxF`uhsz>8m)v%0F( zbx0QMHnPLwDtJ6I+fa@bb4Br^6;Mc;X?6tG5P31!T(^WMJ8uG$?a+3oQ>j1am%+kP z@x&8O4ZDxkspJzvuLN4K9)k0XuiWf9dV$2HSoct=VM2hjJ9k`q1T1R>1*c_&TxWbJ`LZbQzQ$ECdW{krP~8S!}* z)6>pg4+Q4(t-%RKjr^@;-w(sNb9TZdtKur77mjPIF!bx8bql4yd*mzv+PaoEB{o1uJl4}c(Bjg6eo`2gxRst;#)B(M2}6T_(ik1Z$zv@^;(N^m37-8- zUDsn9tnLP8XN42Z!ytnr?KZ_C1uzyGq>lwTx?MSqIzE4L1CB&{e?%Jgf3e>XSb*i{ zy!c^LaF6^Z+oqOr_NB+pTs*~d%Z6(R;3-v~Ygud@N+;rJE4bT!0(*kw=y#K^k~g1d zNOkFHKO_JE<-psVK`XguGZAbVb)yNFEBM+|mtvu&M0##{Io-1NL3n_Ka;d*$hT=$rIQnI8BP{WvpwF zWGI8jIMdFV`_m7Vt{o16VdD`iJuP?^6OqGK`;*XpMcJB`t*-{ zw_^HhO~({>N3?{mL1zRvd)x711Ene>{Z!IIHcp56uc&^MVV6NLLkV6|suxJ7rr72$ zZKWD|$H$m2Ld>n?Ua_3+zM^U_-2_Z;fHC;I^n(#j@3$!Ot3fSs{#39PQEn+uZ?lZ` z4Kt^{4*29e?b62F^N3y>us;NOv4*+sg**0y;~tMt?6=tKwgw+>l5IQzf6Ndq*`XsWy=B+*jK;Nqz>bYQ;mg-!opIG~;s#(ANl?U_6K2!1D z?$rb*6uX8Gw&Bjg-?7?_$C)^uP@(>1@sfRw5-WN?6H&UQ|e z$Hl?u=nd2Yz0dO+O<+aQ;ni);q8n5P;4EXNnw&*)keA{R8j76in>d9R;tF@z6 zrp+U&E8DndxeA7#dvJIyqr)!iD`(dqX(9YKB99I;_0mLlVz-?Et$nD?g1|Z^1r-s7lnVDs!S^Lxw> zpXC(jqBToX@Q&f&!_8Qy9{)6FNs%nQ1hh0^hz>znXjfIn#Ss@9!s@8}70>l45QBb% z4C1M~a$!XzlVtUuH-;=guB^6BJ)&8io*8&IEsCEwYYLQDl?bdjMXg_Cv+e}KLl)qN zof*mQVJRiiB1O_bQ)1_#=gBuFr3>K<&t{rxI#V_O;M|E6K(H~pr0D!IetsJ+Ww0H(~mcpQcz0C@!u$yo*$ zRWYmd84fPKJ!kR<>~0}jb^kxvgYQN_2XT>5E~_#@`DU4^!wdbL%u>OMp2@9qQNr<` zdgl0&w;VK21@f_`DKk9c`Pq8vb*)EK73OqDRCZV6&`wL9bHBnRdd_xhD7IJHVM4|7 z>)aK*B!+b%Jl3l{7df#UiqGrgdGXs2N!+7x*++=J8rgb@sAobPkddhbu#`6&5(T2c zz(iv5$aHu-6`QUzR!}FyUduPof{Q91?)TX1gC4&!>065hBPLWdwH&SO)YRwoUqw#6 zzZ}+!pq_zVyWQN(q68p1Kwul_V;|+TbG1h%XQF45KbfxHhB%Jz0n z*8a9kS;ggM31v-y#9R5?-Y3g{&APKhOzrxZK zmn@*RrQ#v2oz9HFJCrAVWatdw@L4$j8@gp!hg{e;BPUTE>j}0+h{ZcNkeo^Q z8H)g%=}%!mU@ed{Hvox06=+Ar$Oy@uMAD%-1a^rw&**Z_g6DbBQTz1S!z0#s#T08b zWgc4N{-*7P3y-?F^K13W+em;?T6M&BmL%y-T)2(lORjf38# z&Sdp{EE9z})#2n)N>@5AZGKLXFz(|~a{3cK9jwxP@v9wi5JaeL# zh%?k%USxrPobwf`MB{fgOR9IiCD)*d_FA8taW3iy)kjr3paE$C&0%e{KKm<5j671Q zh69{hS%zcS#qx>JFRA*}8aI z(k!S{dD0QQv-tJP0+U_pFfog@|BMQi(6*d~C&wmDe;LuZu@-#m!&&DAg>8yK0)JW*_;vV@mdrW>1j`D zMC*Ek*W))cWog1abUnUTwan~Cp_s`6O zee)j2Ss+7SXl_N9#NLNBwG$nCqa#5H=+K4L8sF!XznCJn);^e#Spj5iq*W=9+Z8k_N zL6zQ`K7F&sa!F=k8+D_T?0rFQ@11L&QzR=!G^Zx*KR(6H8BrzqsqC$Bv*_b4FJm2x zIF1{_Hrq$O@WLQW<)@0Vg9wxtuF zVU$nT@{i&fdo=P>w^Ba_fzZnG;Cl5O$41r(BI=v_@^5MN!d<+P#A_Oee{ixRR1)L? zkx}74Z;VDK6|XALV5xBBHVja;Y_|h&j5{_%_WsA z$q|C?Q1&xEHwY$-zMf%~|Jv+)Zct%s;%c2|T?f;rDvVH~uiRJj*NUh6g|3Q+npK6e*#sDC@2z>(0_wA{mU+l5{Q_%BW(Fjf z*0w~eRgJStQcx~cwWFhV;1G@;FEOjU&3ZCUWG@yRduj93I+DdSKOiL}B30F~htZJB zhHx844ZtE`;0I;~OdiNHXWPl!AVNn^%a|lird9AfvrNl<&OBa%QaL1JllN&iIrDF1L{p=8#g{Ljo(pj3hE^qynhD}9kC<9WSaM^uafzpn zWSG3Q1MPVs%1GGf@7zID(7qR#P;=dfB}8zLcj@7i14lxWh%VBOo)4%8Lf`Iv_*o6N zArQR$$BENIy&A~vIpdM}C9Br~PApGjopO`N;drt}mL1vEoDU|07vT;vZ-(ug5N7zR z#KJPkIh4!PK!L}ktIG*OK3Yejy_mbyL=!|u3&vfVa|mk;gI4u;DEUOZa8OdYx5uw9 z;S>=dweOJKrbcVO(K*DA3-FxZ*~--j@+gm1-;8&wmuEZWh~_X;N!Q+v@K}(*PN)Ft z`Ri(0(0t$e>&SbeE6CK@GdR%*Eba_l(y@m;sFNJu=UgHMuW z*wR&*#ttto%?)v|(0%)Tx9ZM8K!zR8wq%!F`613VO7eb>ke%AU!%Xu33NyjDQm+)B z+2{LP$k(xp--oCA1#tH$80mR2EjS1(z%Le~=~}{!J-vQeu@oN)nu%P`d$Z=;%KJoj zfCP2I?aVK%$uH*i?UQ>3a=i;m~E}2!-*$&;U$w} zA2#LK?+oU5J=rOYv5{944JVceJ#ETp7p`EB`&8*R_GqQWx#&fq9|YIH1R9IA_6eF= zA(4(d9!vW|tmF`tikq>7-$T!l14+DJXB#hGDk97E@u7fZJVHRJf ztBdrOw5RWl?%R$%M}0Fc=sr!eQgBJ=i=1SR!tX$_ofZZq$f%PA=V{;Pg991^a!q?t zG!I_T90(RWnubub%uyD2@n)$INlf5T$eAb19kj7BLK*XFrmz zDGi+z{f|sfeeX(NrWdHuHKs7n1<0Bh=dSvYkl`j?2~5C?RuV=BR!=#mThFz(Q}I(@ z%?EH6Eah8jAQW*x`FA=tHPASlmhE5rUrf6Sn_ux2s)>vE_7oBhCZ_V$22PM^Rsq>U zt^$bggxlx&jtT*#$ct+%Yh&kp{-h#NuhIF5nWyO#Z#7BY*DhIs$Xno%l(dVIQlZDIY1e_KLvnG69I6L#2 zyQeU*nLj7uP_+2o0R3NUvdPP#$uMtQOQ%zfufChSoI@fUPwpZv$vr|FZl0x1I2QI7 zif0l^+p-E?DI|VQGh=EMU=`Y@e0A}P%0u@KDg=?SV#4|59l$==vj*?jqhHVhqG?!= zD>`(M>uWjeRO0GX)(+XEe2ss{F|e>-#<(;{*?9Yp}&#HDAh#)c>I~nf@m=uZWcQ5Q`VA_ zka|_~$0IoDs7~kTH9WJFD?7^Y6@;q=(rLKoQT9SqyAv&hxJ}MwE>oYvE!b2W69a6C zanh*pe}pIOob7sMzn+oWrtrpc*y7H|U?65nZJD%u!a1=dX0k&3Cn}>~Cg`Zxl40{)1)$>^j?;i+EPzf6t;d5s#73y+FngGwoWDR}d(UqX?PA1t zOM-sd-Gc0?`N>{$1_(O)OouQ!3um@>M#bW@EJj9dnH>2{qShCvE2oJENBBevd+xz9 zNY8xQ?XydY|I!s2yQ%i5E{+#pI(61NZ#m> z{4jw67|ifXuS?jADn-{YJ+mJndUWj45#)MRH*b6aN5=y*BYEF_JTYX0XUwKVFngH* zyT=k~st*J6QN;`Zb@MzElK~CwVJ3>r@9ZNNYb5bbAS!j*=ebe8`LxwZEQQFlXBgGL zoYV9XY?TkByL*0D2;m&;4~mZ|4m=_k>qGX_!oJJ*f`(!Y-ekP?)_8TY%VT75ab}-4 z)LLWrs|n>PPMDO0iayY>3WT!TJs8kzNpEuC;l*f*bkZNIf@5Zf0n07yUAbieIj(8+aE$IMI{@o3A#(LW=sDt7J~HKpwPx zWD;_J4cchdNq3zO6S6S>)_6tF?wEH}ghJGo*qh^z_nj02C?Nahyr#wOUm&;K*IJ(* zUU~P9bA0cxNh}q&gpAHi`JBwR<z4m&{3Kq z_F~U+UOFU|Vo31WMZO`u%MpGV37`v2AY|f+1E(j= zQYc=}RgxY+uX>2F-%Aq)&w@+)Qf14BPv4U7dct?^3$s0gKE(~+(rJ57DDaG|nu;ZB z-(=hu+vn=-!O|2lpXO6M#KYI&YcAY5E03OmYn&VawYlK#f~a;b9ZZuFty znQ(D?piQ=iwAEdymkxy{m8FT79^CkxKJ|2Hyb+|PYOdShVcE(>CvI3FMvZc&Ho@Tx za%5CXYHKe&D9KGOq@c<`$+@Cm8F?Ll^X4k!pzkMB8Gw0=1J#svZ?^eZ_Z8gFOsK^j zOvV}iWTTa*pZnj}^bCLbCrkyD9L4oTt|yiTzR8a@FQpV#rFd-asYTSq9Z&Q~ah@}6 zW0m$Mu<{y;2Eo)S#O#PS)~92nW9@}IY=5~dFgMfWkcN?2l5$jW_$I}PEyu(=a!p^@ zOjA#Gd;Q4Ai6)uN1Fep2Itj^EzO zc%YpOUe17fWMkm$4PS?5Q`7Otg%%*Xr2TC+0z@|8sfO05svWSj+FSC<;6G~FEEVM#faI#1uW&DKDKkAqWK5aY9*T3(dYwDeOc zeeEq(Dy-$s_g*X{)ezXaHGpR5^t@kc!U_=)Jb6^rpzw+8oW7xtbOj(8X~CDwHa`0G zku-kT;X#w@{KM^+CR4p6NDdLauWR@^2RGzGuwFM&a;ka7zh9TPY;(heaVpmf6uUWx zBd9rxELy~AGq5XE^0}vNqpD_v11e%&67u%aVgT2SUfSQm(d;lx{ss`2_bTkMt6ogx zkI*y;N}y%~5q=fkavU|&n@@v7=6E3Kk++2WrZrnk0@Y}K|1)`@4PE;OSMp7%4MyMw z#+XqZVr-yPb?uV7>GycHx}@-5m`@d3+{ul9%(}-!qm&`Wp+l#HCPTBDQGD!v)5c0; z_%ABp6|{}xpnMNq%#uoHJ+(`)xMWYv?);>$9^EX=-#o4e(^9ApaMvY;n9!42LbuQQ zA;#-d46LCA35IJ8LjF7^z^JK?Pl{uk0_-ABXl(E|F*Z1f7qjGHf zhHQ+J4WSd5W2Mr~Gg%l<6m^W)Kn3X3sLGVx;Y(UhIr|6tv6l$}R}RTH+AWK{*d5eJ z=K3iXA|gL(9CDbwb&?h<26a8SXP~$8iksyz{ zalcJMF5ks0FIdkvha6(*QC{cqNfYs1bMhO2{Z@n>9A9r^F@zr%K{yBc-82MQXF~5! zlEKuXe<8LnFJ!@IFVUuWMkd}SX-gt|m@%bUu90jDNIxCtn2f)}eM)I3P_kmI-ST<- zc@|y}CW_=+id5URCWdDHC{dYY@3E+~nZeg{A{>PaFLncTMsmo;9z4_|E4vo%kfYEJ zES9CBnBm%1XrbDsQ$6Jddg473w8(;uedd0HMvXc+Rtz&-m)9?FF48X1{bYdc#)nO- zmNZcgrI-}3Lnm5I^-L(kKKf}oW0VWm&8l4HP%#~Jj?Ap>R)zfWZHC$%9PEJ#>&p;L zfxM}%@e%1g1sBWvgJU7m30IK=GE`2Y=lw*b`a0;{q#1QWZH3}80JxASlgC?>2>F^c zDTefoHbn8#awEAe;{N)AY$?!i+2nVvzg|okeRS?y0x?x0b5Qj-8tRJ?lRs@G+|C== zDd%DmMI$o~AtkGd~Ml-^biOlXO%7L!nw3`8Ul@vtOu4r^%d< z*rb*eR`#MhqrcRT!59$5=!YZI+s=S4XHHL_zfoYG%Lnm@DgdGnXPESL?>Gg+JncM zhXaYo4W@?sV-G90J=H$ks>I=Kzp#k%w%`mB?>RpK?l&QTcCrFJlVqZ(>B?{l+|4x9 zjwGTM|EH8e9~cm>QZ?GDW))9y`=6g)?Lak)yXo9{v2|&Bh#o8UYUo9^iPZTsI->1p zH<74t?=fBgk;$=x7J#Eb9ZSP8VCrPv<31+g-@Z*P;-nK|-T<}iT*+s1yC@m2t z6fqZ~Q}JcdwXVU}3W}}me->Zd(K8VS2r>=`vh4wM!q=cfH%mI#5~@B)kf4mDLZFZ* zy=OD2ZAKkVrCN{tg>hWkEG9+yA!5+3TWZMOiJb_fI^J;TF#*0|H**?Cxf$4|UcdtQ)4x#p;b1b9g(rQ(j1R(HA}+qi=hw zImxtOqRn6U5m32trwoW9j0}WoAP4`I{n=_pz~)ZN#%8$LaB^}F{5ZYMPTs**qb+*Oc2HxtG(pm)Nz zl#Hlk9&}fdaoi`q#i=Bn{#`#bWT9^5%IE1_%&WH~SW%I<(SSz-L>uR(=AGwgC!G8! zvWEVV1VO6%^v4!merI`%zqb#h%{vq$d~hKz+Ht6boR=Xi{3wzb>lSj8`7s=11$; zOO(0Ih~EqkGj0uz2-Z_S#jOJvAr`Ob%UrS(m;LUP#lUJm#jG;q0al?E-ACTiO9o8_ zOQfwNtvXkfX}{m4_AQ~}UuC}aq`Gw?9qqTq}t(>tmyIa$$n<%F9t-y zhZHh<&FC;ON=U?Ps@BgLndj?*w>&}{-k_L4w>~ltH4^L@?^&l+?)!{+U1P8@KN@Y$ z8V5QDJ!PqU#!((hi$)_b>UDmIy{HKKboDv(Q)*%pjh0x%`>-*dGm;_Ou4AC&w#^f4Q8GbR1^l%H`;3VlKZ5ctP~D zKKePB<-{E;beo6<_Hww@qSJTF*N_+rhmD`;^lvuG>FFj+%xandqz<-U6X&$xY!_7M z{!{A_$&s*#H`nW>S3zNy*4qBx$XkWRFEoJ`B4zDYL_J#lKrq$7j|q*+<#zilZ$5qD zAtjbpfv*Ax)HxF}g z1u!$sGpXtdoXNY->MyuK25j&z$WR0T*2t`G;S$mej3PY`S!^tg3)g$;R-nW0w$e-qQcI6}IiQwi zz@R7@4{ACq;tby(!>AJAZokBPo4wEymOvG^$rB)6cX_qO9xCitUP>z%O5EV#t!Z3H zBjImqeG?qL92;uIj{+G6-d^%#Ol%A>_UW=oPUYIo_rhp;*N@qY_d0iPw_XwlY~J@V zc7Dkcfunt^6@@(gHMlLzpb9bkL6lYaN+~sMkKelu`^-#PCl6X&yn`56M z5#0I_DZE^u5a@nkqNz8AThm9UAuAJtb&EC6BbwBV7f_Dw1#HS6r%089TX*0LrkBbOaP9Lg8i*DH^A`MYO0Kd~UTzPwr_M)fI^5^dZaEPHpsrV0@#4 z3W;5LjEKZ~tr{x&PIN!uV&vmKP$OQX&u&WC2QTai6J`f$g0ljm^b1p$g}z17&_Y<} zxaMk)FJ+yk_=<~YVj+WYRSn7cufh~<51%L@5ZQks?5-B^_a z`kG=dw>A(8$vdhA zFWie80!%4_Xah}7N>2`f*Za(RN4C<}3F__8)(FAdPZdl1*Lz}$J%}@cN0)H&_7Nz9 zhBKv6)+w8%Ny&L>)>1j@lI6Gh-If{AG#TUZs}TkINsc|0sZ|*7fV>HM14{>o=$tNt zHhtHlqdLgOuD@Eav5r{W3T+7PMJJxg(b;UeoSC#SFrHj~MZW|z_Bok!tam7yn)C%4 z6^x*nFxDZsRJFvVd@z^r>YQA&io^sidbVl#muBzRn&SNW%+kq(4A}Me#oxvhJ{M6M4}oL1{jYwh;wV zs0WahEm*V0qHlWz3F&U@f$u~OAH}Dl?p8-V<=0z0`^*v&PL?>a-4pq)s#@qpcO`(s zaT)Z8aVSs}_Xy4xG6(FQANYEh?{h6L^u&&U=S*yaYuQ8=VG{GYU}8=--8;iDy6I1n zX40*IWj9^X3qv@yh~?{T-nf>5hOC; zt}{VA57;Q=ja#xB_3h%F8ah8s2ThM)o3%Mq@Rq?Oo#_GfW@W(9Z-3?_+&A)}5|k^f zEj2k6V6noEhUhA);upCbK`%V!(u4pcI%0bQke(FVWgsh~LGyN`i{muTLpy(cO9tMa zDs^)Jzchp{bp#L*f|)+{F`BS7UohwXvUPo1eA`xQ&mZE zou`KTVqRc0Fv5F-wm48|0t6=0>s@RVWVNqI)d5m;8x7|UOs*rNK<$u|C)Q*z`_y9U zgCo#7<-m=5F3$Gg0Au#k-$RS~Aw(QW06XA~>Wsppv6O24b`@P3#5lv!97c8;ODMkl z$g!vT>glj>G1IUh8d-xntt*t^T2t*T8N01rR&LHuIIm(gy;~JXUJ6Pw z>}yJf#nkQhw^OptU!|K_?gZcK<4@4&ysq^Z&}cA(%r}Vdr__pAZETxOQiOTF|ALca ztW?NC_`_qy46O&!=ZU?nGNs70?m3^2TnQOPt^(K3S`N;4r8vnEx%I##KOE7EKPf#jHhO*HwZ6V=!n!tC zAv}HC#f(ebe{*+}s*+4)v7QR``7=T50Fk(>0YCe5lf56kb84+C-L23*0 z3UE$$*{6LW*7a&tw)DL@wD$vdJsfa&t(W^+=-8z4XXc<|1_TG2L4PkQei$LRh~Ka7 zHkAGhF{C8)Aope1#Ewl^_FM^~xC5ESbY425hcv#WQca$QzxOQUQY4eB>UH=m#6dy- zBScZ`Wr~*uV~TG=uOK5{lC=+8|4KT;`^Z2RZ4TH9G!^zx_$nbZE-V;T+Q>`#b=CD* z)1j+=a3#D{+UL-0Br+P=GE2Ec6@^yV%WZEUY;ipkC!YVt$FO**+wUW8FC1dEb1GY! zRysbXB>pI8obz`%|1iJ+Bu?iC!x@h8sz3hSI?tr3^l|&?d9rEQ0R@b22;jqCG-xUd zv7=r|z;v~1u%W?j#@;Zwqa)l9BM4|={BkE!;iVo@jCX9DQk2yQAUWJR^FCy8)X}6K zA-u^J*76V|nX)RWBSu{{HpeV6dlpijowEiiy z!GhCL8`hN>r^N>?$sdwZ;pJw@8wg{@G9U5eSsJ6#G7n5pv%I~LCEVar#w$OL>2>?u zl+PGD$cJk196?DZS(q44HU1h&8}GY8htnA6BI}jF8^;0yu#IJ>>qE*y954M_Sbkg> zLCOt}xA`_ZetlZ;{LC!HBxgp_s=XbR{BudG5r>A&$J>{UDjy{C<=mg!8DX#OX5dT| z-bTLCORkFYd%2dy`a2O{&6E6~n@QR0>em_fzSIxQKpDTlI;I_S&8fY;kL7(RW&) z2Ph=(9JqdF;k>;_y+R+{EaMfkVcX5Y@x}G)-z7~iv@H!AbUF)b@bEJ|sD2&-SHjyZ4+nvAqjMAhEWHhx~Z7cWJemjq*;w&0vZz=hr4 z4n@49b>!QIvrmv{WG3VK5BtS!@^#5!fLi7C<$hivC|OHPq*bg3{F0){^hNcH4vqN_ z=V7gWy#)bhmyv!d*jhjDel8}Z5@aJ6G-GULB6~FE*`uTe7COQfm8b=R0M4w9@ROlm zqo^bDpMkkByOaEnW(@+~x#flD8lp|$5 z!k_tnjgZ zzwanBGO<>Ly4}n9tQdHlwg!{j^z=))m6?Ymu5TLF2E!y5sia_N8DvRAoAdkN%FqDE z27N1MSrF(t;W7G8upN$E1YyaSPO}`s_d$aeV920VsGlZ3 zz(CxFOpkE=QI)J}22drWe4)lVnkr@Q`LN-urRT(pcINnWWteq|RggGkt7b;SFuK43 zfi@4r5l&}Zt8qwxDP#DiWO6mwr&qcB^wtzQy_8-YXyV-ER8f88jTgGsY3F2#L6gfK{ySVv`vGI znJQD|{TQj;L~YX(Y35G%7?|5;wvUa^{*d?Ferr~FrZA81e%+LF4(L4dPT%+I6XnI3 zdfAcDY@_-7i1-hIf#PAW19c^i&~m}_+d_ES^rMST|&QPG1eNv<5-{7xjV zUT+ypr+gXTm(#a8gg4GM8jE_*d7S->&E*A|_1VuMV8NL-e3eVJo)6ZD8c9CadHZsa zrg}b5s#!NismxO;2W`kVn3W9{_j z$~xzF@bSeHE$#!IBAA(g^JeF9G8czFP+?C;5K0whYfz%B>znezdK>c1X$_a_mJpa#L80uN!|D_r%?e zW1%UdqGUS9eW0Dgc;<+sKGU#aKpA3Ku*bhSVkWRT(cj?VfRc{$UF7{jecG*Op1!xtfK5i*|OY z`6oep5!G9-$lLdFb**k!A3=}j_<%+nvssl!HAotkxvO3XaR2aWVLf2kjxTay*V^vj&Ok`{``Cb(_aJ08#SUlHnuOBJFQx!%q$ zW#63CQN?SPSfTm%5b)ipDdzNQ@-~kfyHcx-2siO4%&|EA;EyqAM!4-xlS`x?!MX9TH<}b0-pW-NiRkP5%F(fV z`xJm$tsXakFzAV1Z11KV4{n5hpO*1cJY{F^XCZRs@tO@<;CpGjbZ4=eZnb?A6{` zBpGpa%D#IL6fO}Ep6ZFaM*5^-%Q9wJNI;lL8a z#~IP`KJh`2!lNTm9S)&1hNW2LMXEK+icv9d)40gCbr{Lp4d3_Itr_dPWOtr!y#6gz zSFy|&AwDrZM(zUz3c@XI{mu1R?`zj+*E8sWOgPq^84?Z^4+ zxc6F@(bVurv5-in{~SY@f8cnPdx>YQb(2U<|A^22=rS=!`DoKwx<5$NySF!g%_h;0 zqSWFi{K9wV6%soUakTDW#c%D_qV-=BO}7|ERP9b9@s@NF?;bovLP5i!{_j7`6oSaB zpaN&Z;Z=?(J4D2(WU|odoDcl}XW5^BEF|Ev@Kj)iYSUB0zoJdqqW{ki`m^Ga%`9d? z%yhx&WSAVf@Lk0~{vY2sN*nY9Tp4jTKaoK?+?5GM@E23JQ@i%JGUPekiz_5TmG-r?s8^H$`qBd5Pnu0kD?ia zS^S{8aJBQM>=PM*zbv0%e9HzGB!KK$c60d<~1VQk+EU4huY z7M@r{dG_qP==%kGBC$yPe;gMY4slu=J={1lpc1Qmzj3a%?fX2}tnnHD!jn_{|Dh!R zmTxN^SlrA?8elU`TG^aM^qp1~5zutpJo>k@2wOPV93H#!$fAtNhhe>rJn0zGW78yOWD$b0O;Q}+gv zAkMBg3*;3kYW=11yn^E9osjm)Mvbg^g^-V*Y zX1i1U4-qJPtHF(J_Jzll8~bVSKTh!T!yx<*#>WW$x44h>3NAcQy~aE~{bQAxHxkoh z=*En3_E#Q9PO|`G7}j653KNZ-3XyK(`A{KLg~cpjf#nMV0KETuTxP;StM3=)SvF>x z#VI*tWIxje-Q?9(Ym7ByrTk;@yEbZ+dJJ%7WOkq#PV;m>Bg*2l_Prcl^(vviSkH;f z@^(A$LiBlZ=el^_ho#9>l^r>Iloot;Z%Gtr?6*Q0(wG1IL7zV$sbYd_u(>HZdsly+ zQXpa(zZov?p?SCkiTxEQFwq={5U+pNI|m&LCAH}w=}JQ~OiAH?Ibs|=2{WkK`H7&7 zO7Gh}q)jk$&@fVLH@T~u2(V}G!sxI`N6%0r0Z;qIEi6ANNUTGExsxf`RjTk zvn#Xn4Oe-P!7Zp14$kQ=^ZXcu7By(Qo-nqb0>jR4ZTu%HN_^G`O8i*QZFinsd^4F` z-_{>WZ8la*V`S}5{|}rgR$kU>-&3evqq4V;j<{rftFP4gHqcbK$n-B*xARPJofi}M z;Ker+&v%{DE`8`A;x8Aj-?#lm6W+BYpcJBmP4PW|Ci+v*@Bs=(teHU33FI&OObwwA z(tHfnSB;t-mYFbV%ooafEr^s8sdk?5|AEp8Ixa_uuQu=Ih);Tc3MIM`Mf;vHFkxKr z7hrl5(pKBPXFE0vlWwRb{5lnOh8bmt86n!x zGsL3C2&ddYtF&;ov7}*UH5JlQn3EB4`(ED7R*cEtvP#jCI6!RMMyQMQ2X^L$Zv}zqO%Fuw|dGoqtgayJu<7??o3Uh@GC8H<_%{T|PtesC0Bb zu8sPq%}WHLY+!=}D@AJjn#s{3C~kg^CW0PeC2c09#w@D0@NFJq{SzhuY=0co@L{3c z($CFXA7mg#D8A7ItvAQ;D-xmGm~1W)5gFRs<@>*A1bDE^N6#?8)13=-uErvMpKlAx zsu+-_dkLO=tIuao|I3b<;UHn6LdkyaEp@FDe!%(BKaAulSDb;lJ@YpUEmk)JweKyu z>Uigh5d2zHx17_SEN`P*A96i>qYIjF;F(bQ=b@N+At|DR6WKTBZmN!~W=v(*8#*n? z^Jx#G~`@jL{ifI<2q~lK$sU{49l}hz%C#SP+o= ze)SUz^k%2zQA`hqb4+}rXO@qy?_ac&TCG5Wp?%NiI}}jQtr1ae{>27+!tY`)7YzU3 zveyQtVo5g~Ihp~H8+OaRTQ_y@#}C$Tto1+a<0vgJ-6w8^QBEm1EKp~f$_9#<-j6@t z&8y(uD7{+n)jgXdeXotNMEf?b5V<#bExY&2^w*0mo%ZWi*WHa}y^pj02I)*Gi#~p9 z?M^HXs?raLzF>7Pc3lta)ja--@89js`fmN>?TbUvNlV_vm+#lE!sf1ermd{IJ;jUP ztvhmfpGNxk{!Qw(Qq!FcgT9vn9e91R+)Fkr4!p;CMGE9V{m$e5ZkF52XWe~&A^BqK zRE|>q5*!xoXWGiX`}Myi_m<-U0*@3Q!wq;e_$_Kk(Nuq1$n10R`sS$9uPJF+M%zr*!vUbnsd z?V~GWA7~rSf49CT?DX-h^^vVuY~whid!b^(Y~B8gyY>6ptryLhmH5uv@^j;|xEV9g zFk;bgOYuTiLb>uCQ&Z>K^PIu@SJKz2VJTm|#WQ?2Sig+)Is0MNj9H4!$GNB9i&nRh zV9D>@S@PZ)OHOWZC})ilf1{S_bGD!gm=YvE@4qJkoT@9YjK2ISzwK%D;V-pfH<0w%AUVr$}{j~9^#vUEx7w7s={-Ai6fH#0It zbC#IhxO->j$Ecq_8QJ#myDX?aow4=L+T~{0R38?4;kv%4({4MLv`_!^ z@5N==z;|62clLkZP`?Xnx)WjA%T;Fn-Q4M({5_6}`y&0ZaXGr;&byVT_3h3r3I6$A zbKS~VY-RC_oeufUcON_5E1xdkc{4pcN$%FvAHQ{;Z~d|BU-_2Y`YF|$kDR#Etedxb z8MY?K1z>Bm>8^0>@wZ%6^0ta6{$6LB$G!@)#RM#goSB+=%I1rG*|*$gzl^5%v5tG( zkM65IJ@n(}@97n~|FzG3Ettamx_`08<4*-WC(a7)!djYh_~qWyraXdTW_}|0DZlfz?Cw$M5mowtRiS4nc6ds5Q1q+u?x Date: Thu, 11 Jul 2019 09:35:32 +0200 Subject: [PATCH 36/92] Changed logo in docs --- docs/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/conf.py b/docs/conf.py index 2bd6838c6..4ba9fd56b 100755 --- a/docs/conf.py +++ b/docs/conf.py @@ -95,7 +95,7 @@ # a list of builtin themes. # html_theme = 'sphinx_rtd_theme' -html_logo = '../images/logo_sknetwork.png' +html_logo = '../images/logo_sknetwork_long.png' html_theme_options = { 'logo_only': True } From 2357b0d7abdbf859d926d1d8a2141ff8710d821e Mon Sep 17 00:00:00 2001 From: Nathan DE LARA Date: Thu, 11 Jul 2019 09:54:38 +0200 Subject: [PATCH 37/92] Spelling --- sknetwork/hierarchy/metrics.py | 2 +- sknetwork/utils/adjacency_formats.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index 36eba554b..0b743d935 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -22,7 +22,7 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, weights : Vector of node weights. Default = 'uniform', weight 1 for each node. normalized: - If true, normalized by the number of ndoes of the adjacency. + If true, normalized by the number of nodes of the adjacency. Returns ------- diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index 24fc9c6b7..ee6e5e1bc 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -24,7 +24,7 @@ def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], :math:`\\max(A,A^T)` - If the initial adjacency matrix :math:`A` is binary, bidirectional edges have eight weight 2 + If the initial adjacency matrix :math:`A` is binary, bidirectional edges have weight 2 (first method, default) or 1 (second method). Parameters From 4cdcda94d2d85807dc9442b8fcdc147b6b3c5fb8 Mon Sep 17 00:00:00 2001 From: armand33 Date: Thu, 11 Jul 2019 10:45:29 +0200 Subject: [PATCH 38/92] Deleted empty cell. --- docs/tutorials/clustering_Louvain.ipynb | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index ddc3f74cb..c2ddd8c3e 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -31,13 +31,6 @@ "from networkx import from_scipy_sparse_matrix, draw" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -6698,8 +6691,17 @@ "version_major": 2, "version_minor": 0 } + }, + "pycharm": { + "stem_cell": { + "cell_type": "raw", + "source": [], + "metadata": { + "collapsed": false + } + } } }, "nbformat": 4, "nbformat_minor": 2 -} +} \ No newline at end of file From cd7b853b43c467c7b41306d76d32d65e83c0e59c Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 08:25:34 +0200 Subject: [PATCH 39/92] Naming --- docs/reference/utils.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/reference/utils.rst b/docs/reference/utils.rst index 01afb9ec7..bbb5b3e3a 100644 --- a/docs/reference/utils.rst +++ b/docs/reference/utils.rst @@ -1,6 +1,6 @@ .. _utils: -Tools +Utils ***** .. currentmodule:: sknetwork From e9e89328eb03ac98786b2a80ffa18a78bb4b842b Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 09:21:15 +0200 Subject: [PATCH 40/92] Value Warning for non-square matrix --- sknetwork/clustering/louvain.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index b66b1d494..656a39e32 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -257,7 +257,7 @@ def __init__(self, resolution: float = 1, tol: float = 1e-3, engine: str = 'defa def fit(self, graph: AggregateGraph): """ - Iterates over the nodes of the adjacency and moves them to the cluster of highest increase among their neighbors. + Local optimization of modularity. Parameters ---------- @@ -479,7 +479,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd adjacency = check_format(adjacency) if not is_square(adjacency): - raise TypeError('The adjacency matrix must be a square matrix. See Bilouvain for rectangular matrices.') + raise ValueError('The adjacency matrix must be a square matrix. See Bilouvain for rectangular matrices.') nodes = np.arange(adjacency.shape[0]) if self.shuffle_nodes: From 166b0cf6d03168fe74a4315a49d903b2a725e70e Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 09:39:57 +0200 Subject: [PATCH 41/92] Modularity for directed graphs --- sknetwork/clustering/louvain.py | 19 +++-- sknetwork/clustering/metrics.py | 126 +++++++++++++++++--------------- 2 files changed, 75 insertions(+), 70 deletions(-) diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 656a39e32..ad461caf5 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -360,20 +360,19 @@ class Louvain(Algorithm): Seeks the best partition of the nodes with respect to modularity. - For undirected graphs, the modularity of a clustering is + The modularity of a clustering is - :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2}\\big)\\delta_{c_i,c_j}`, + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2}\\big)\\delta_{c_i,c_j}` + for undirected graphs - where - - :math:`\\gamma \\ge 0` is a resolution parameter,\n - :math:`c_i` is the cluster of node `i`\n - :math:`\\delta` is the Kronecker symbol. + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d^+_id^-_j}{w^2}\\big)\\delta_{c_i,c_j}` + for directed graphs - For directed graphs, the modularity of a clustering is modified as follows: - - :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d^+_id^-_j}{w^2}\\big)\\delta_{c_i,c_j}`. + where + :math:`c_i` is the cluster of node `i`,\n + :math:`\\delta` is the Kronecker symbol,\, + :math:`\\gamma \\ge 0` is the resolution parameter. Parameters ---------- diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index a73be7707..845094150 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -10,6 +10,72 @@ from typing import Union +def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union[dict, np.ndarray], + resolution: float = 1) -> float: + """ + Compute the modularity of a clustering (node partition). + + The modularity of a clustering is + + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2}\\big)\\delta_{c_i,c_j}` + for undirected graphs + + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d^+_id^-_j}{w^2}\\big)\\delta_{c_i,c_j}` + for directed graphs + + where + + :math:`c_i` is the cluster of node `i`,\n + :math:`\\delta` is the Kronecker symbol,\n + :math:`\\gamma \\ge 0` is the resolution parameter. + + Parameters + ---------- + partition : dict or np.ndarray + The partition of the nodes. The keys of the dictionary correspond to the nodes and the values to the labels. + adjacency : scipy.csr_matrix or np.ndarray + The adjacency matrix of the graph (sparse or dense). + resolution : float, optional (default=1.) + The resolution parameter. + + Returns + ------- + modularity : float + The modularity. + """ + + if type(adjacency) == sparse.csr_matrix: + adj_matrix = adjacency + elif sparse.isspmatrix(adjacency) or type(adjacency) == np.ndarray: + adj_matrix = sparse.csr_matrix(adjacency) + else: + raise TypeError( + "The argument must be a NumPy array or a SciPy Sparse matrix.") + + n, p = adj_matrix.shape + if n != p: + raise ValueError('The adjacency must be a square matrix.') + norm_adj = adj_matrix / adj_matrix.data.sum() + out_probs = norm_adj.dot(np.ones(n)) + in_probs = norm_adj.T.dot(np.ones(n)) + + if type(partition) == dict: + labels = np.array([partition[i] for i in range(n)]) + elif type(partition) == np.ndarray: + labels = partition.copy() + else: + raise TypeError('The partition must be a dictionary or a NumPy array.') + + row = np.arange(n) + col = labels + data = np.ones(n) + membership = sparse.csr_matrix((data, (row, col))) + + fit = ((membership.multiply(norm_adj.dot(membership))).dot(np.ones(membership.shape[1]))).sum() + diversity = np.sum(membership.T.dot(in_probs) * membership.T.dot(out_probs)) + return float(fit - resolution * diversity) + + def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feature_labels: np.ndarray, resolution: float = 1) -> float: """ @@ -62,66 +128,6 @@ def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feat return fit - resolution * div -def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union[dict, np.ndarray], - resolution: float = 1, directed: bool = False) -> float: - """ - Compute the modularity of a node partition. - - :math:`Q = \\sum_{ij}(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2})\\delta_{ij}` for undirected graphs, - - :math:`Q = \\sum_{ij}(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2})\\delta_{ij}` for directed graphs. - - Parameters - ---------- - partition : dict or np.ndarray - The partition of the nodes. The keys of the dictionary correspond to the nodes and the values to the communities. - adjacency : scipy.csr_matrix or np.ndarray - The adjacency matrix of the adjacency (sparse or dense). - resolution : float, optional (default=1.) - The resolution parameter in the modularity function. - directed: bool - Whether to compute the modularity for directed graphs or not. - - Returns - ------- - modularity : float - The modularity. - """ - - if type(adjacency) == sparse.csr_matrix: - adj_matrix = adjacency - elif sparse.isspmatrix(adjacency) or type(adjacency) == np.ndarray: - adj_matrix = sparse.csr_matrix(adjacency) - else: - raise TypeError( - "The argument must be a NumPy array or a SciPy Sparse matrix.") - - n_nodes, m_nodes = adj_matrix.shape - if n_nodes != m_nodes: - raise ValueError('The adjacency must be a square matrix.') - norm_adj = adj_matrix / adj_matrix.data.sum() - probs = norm_adj.dot(np.ones(n_nodes)) - - if type(partition) == dict: - labels = np.array([partition[i] for i in range(n_nodes)]) - elif type(partition) == np.ndarray: - labels = partition.copy() - else: - raise TypeError('The partition must be a dictionary or a NumPy array.') - - if directed: - return bimodularity(adjacency, labels, labels, resolution) - else: - row = np.arange(n_nodes) - col = labels - data = np.ones(n_nodes) - membership = sparse.csr_matrix((data, (row, col))) - - fit = ((membership.multiply(norm_adj.dot(membership))).dot(np.ones(membership.shape[1]))).sum() - diversity = np.linalg.norm(membership.T.dot(probs)) ** 2 - return float(fit - resolution * diversity) - - def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: """ Compute the modularity of a node partition on the normalized cocitation adjacency From 5c50a07cc7acd054a5b413016bdbf78703e1f761 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 09:52:10 +0200 Subject: [PATCH 42/92] Correct typos in the doc --- sknetwork/clustering/bilouvain.py | 10 +++++----- sknetwork/clustering/louvain.py | 4 ++-- sknetwork/clustering/metrics.py | 21 ++++++++++++++------- 3 files changed, 21 insertions(+), 14 deletions(-) diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index 495d820f4..76dcf722e 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -107,12 +107,12 @@ class BiLouvain(Algorithm): :math:`c^d_i` is the cluster of sample node `i` (rows of the biadjacency matrix),\n :math:`c^f_j` is the cluster of feature node `j` (columns of the biadjacency matrix),\n - :math:`\\delta` is the Kronecker symbol, - :math:`\\gamma \\ge 0` is the resolution parameter.\n + :math:`\\delta` is the Kronecker symbol,\n + :math:`\\gamma \\ge 0` is the resolution parameter. - The ```force_undirected``` parameter of the fit method forces the algorithm to consider the adjacency as undirected, - without considering its biadjacency structure. + The `force_undirected` parameter of the :class:`fit` method forces the algorithm to consider the adjacency + as undirected, without considering its biadjacency structure. Parameters ---------- @@ -127,7 +127,7 @@ class BiLouvain(Algorithm): Maximum number of aggregations. A negative value is interpreted as no limit. engine: str - ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, it will tests if numba is available. + ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. verbose: Verbose mode. diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index ad461caf5..f194980e9 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -371,7 +371,7 @@ class Louvain(Algorithm): where :math:`c_i` is the cluster of node `i`,\n - :math:`\\delta` is the Kronecker symbol,\, + :math:`\\delta` is the Kronecker symbol,\n :math:`\\gamma \\ge 0` is the resolution parameter. Parameters @@ -381,7 +381,7 @@ class Louvain(Algorithm): Requires a fit method. Requires `score\\_` and `labels\\_` attributes. - If ``'default'``, , it will use a greedy bimodularity optimization algorithm: :class:`GreedyModularity`. + If ``'default'``, use greedy modularity optimization algorithm: :class:`GreedyModularity`. resolution: Resolution parameter. tol: diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index 845094150..bb0d8f0a0 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -87,8 +87,8 @@ def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feat :math:`c^d_i` is the cluster of sample node `i` (rows of the biadjacency matrix),\n :math:`c^f_j` is the cluster of feature node `j` (columns of the biadjacency matrix),\n - :math:`\\delta` is the Kronecker symbol, - :math:`\\gamma \\ge 0` is the resolution parameter.\n + :math:`\\delta` is the Kronecker symbol,\n + :math:`\\gamma \\ge 0` is the resolution parameter. Parameters @@ -130,10 +130,17 @@ def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feat def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: """ - Compute the modularity of a node partition on the normalized cocitation adjacency - associated to a network without explicit computation of the cocitation adjacency. + Computes the modularity of a clustering on the normalized cocitation adjacency matrix. + Does not require the explicit computation of the normalized cocitation adjacency matrix. + + :math:`Q = \\sum_{i,j=1}^n(\\dfrac{(AF^{-1}A^T)_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2})\\delta_{c_i,c_j}` + + where - :math:`Q = \\sum_{ij}(\\dfrac{(AF^{-1}A^T)_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2})\\delta_{ij}` + :math:`AF^{-1}A^T` is the normalized cocitation adjacency matrix,\n + :math:`c_j` is the cluster of node `i`,\n + :math:`\\delta` is the Kronecker symbol,\n + :math:`\\gamma \\ge 0` is the resolution parameter. Parameters ---------- @@ -142,12 +149,12 @@ def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: adjacency: scipy.csr_matrix or np.ndarray The adjacency matrix of the adjacency (sparse or dense). resolution: float (default=1.) - The resolution parameter in the modularity function. + The resolution parameter. Returns ------- modularity: float - The modularity on the normalized cocitation adjacency. + The modularity on the normalized cocitation adjacency matrix. """ if type(adjacency) == sparse.csr_matrix: From 7c554933c5221932bc5ca22cf524844eb71cd9b0 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 11:49:39 +0200 Subject: [PATCH 43/92] BiLouvain (as undirected) --- docs/tutorials/clustering_Louvain.ipynb | 768 ++++++++++++++++++++++-- sknetwork/clustering/bilouvain.py | 11 +- sknetwork/clustering/louvain.py | 26 +- sknetwork/clustering/metrics.py | 5 +- sknetwork/utils/__init__.py | 1 + 5 files changed, 745 insertions(+), 66 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index c2ddd8c3e..ee05c8bca 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -25,17 +25,462 @@ }, "outputs": [], "source": [ - "from sknetwork.clustering import Louvain\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Undirected graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ "from sknetwork.toy_graphs import karate_club_graph\n", - "from collections import Counter\n", + "from sknetwork.clustering import Louvain, modularity" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Loading**" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:07.938019Z", + "start_time": "2019-07-09T11:27:07.920535Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<34x34 sparse matrix of type ''\n", + "\twith 156 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adjacency = karate_club_graph()\n", + "adjacency" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Clustering**" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:09.211595Z", + "start_time": "2019-07-09T11:27:08.440159Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "louvain = Louvain()\n", + "louvain.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 0 0 0 3 3 3 0 1 0 3 0 0 0 1 1 3 0 1 0 1 0 1 2 2 2 1 2 2 1 1 2 1 1]\n" + ] + } + ], + "source": [ + "labels = louvain.labels_\n", + "print(labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1 2 3] [12 11 6 5]\n" + ] + } + ], + "source": [ + "unique_labels, counts = np.unique(labels, return_counts = True)\n", + "print(unique_labels, counts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ "from networkx import from_scipy_sparse_matrix, draw" ] }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:10.907094Z", + "start_time": "2019-07-09T11:27:10.696188Z" + } + }, + "outputs": [], + "source": [ + "graph = from_scipy_sparse_matrix(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:11.402102Z", + "start_time": "2019-07-09T11:27:11.396042Z" + } + }, + "outputs": [], + "source": [ + "colors = ['r','g','b','c','m','y']" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:14.032509Z", + "start_time": "2019-07-09T11:27:13.945785Z" + }, + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/miniconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:579: MatplotlibDeprecationWarning: \n", + "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n", + " if not cb.iterable(width):\n" + ] + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(graph, node_color=[colors[labels[i]] for i in graph])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Metrics**" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.42" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.round(modularity(adjacency,labels),2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Directed graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from sknetwork.toy_graphs import painters_graph" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Loading**" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<14x14 sparse matrix of type ''\n", + "\twith 50 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adjacency, names = painters_graph(return_labels=True)\n", + "adjacency" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Clustering**" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "louvain = Louvain()\n", + "louvain.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2 0 1 0 1 1 3 0 2 1 2 0 0 3]\n" + ] + } + ], + "source": [ + "labels = louvain.labels_\n", + "print(labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1 2 3] [5 4 3 2]\n" + ] + } + ], + "source": [ + "unique_labels, counts = np.unique(labels, return_counts = True)\n", + "print(unique_labels, counts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "from networkx import from_scipy_sparse_matrix, draw, DiGraph" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:10.907094Z", + "start_time": "2019-07-09T11:27:10.696188Z" + } + }, + "outputs": [], + "source": [ + "graph = from_scipy_sparse_matrix(adjacency,create_using=DiGraph())" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:11.402102Z", + "start_time": "2019-07-09T11:27:11.396042Z" + } + }, + "outputs": [], + "source": [ + "colors = ['r','g','b','c','m','y']" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-09T11:27:14.032509Z", + "start_time": "2019-07-09T11:27:13.945785Z" + }, + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/miniconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:676: MatplotlibDeprecationWarning: \n", + "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n", + " if cb.iterable(node_size): # many node sizes\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(graph, node_color=[colors[labels[i]] for i in graph],labels = names)" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Undirected graphs" + "**Metrics**" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.32" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.round(modularity(adjacency,labels),2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Bipartite graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "from sknetwork.toy_graphs import movie_actor_graph\n", + "from sknetwork.clustering import BiLouvain, bimodularity" ] }, { @@ -47,29 +492,24 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:07.938019Z", - "start_time": "2019-07-09T11:27:07.920535Z" - } - }, + "execution_count": 23, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "<34x34 sparse matrix of type ''\n", - "\twith 156 stored elements in Compressed Sparse Row format>" + "<15x16 sparse matrix of type ''\n", + "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 2, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "adjacency = karate_club_graph()\n", - "adjacency" + "biadjacency, movies, actors = movie_actor_graph(return_labels=True)\n", + "biadjacency" ] }, { @@ -81,58 +521,122 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 24, "metadata": { - "ExecuteTime": { - "end_time": "2019-07-09T11:27:09.211595Z", - "start_time": "2019-07-09T11:27:08.440159Z" - }, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" ] }, - "execution_count": 3, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "louvain = Louvain()\n", - "louvain.fit(adjacency)" + "bilouvain = BiLouvain()\n", + "bilouvain.fit(biadjacency)" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2 2 1 3 0 3 3 1 4 0 4 1 2 0 0] [0 2 2 1 3 1 0 3 1 4 4 0 0 1 0 2]\n" + ] + } + ], "source": [ - "labels = louvain.labels_" + "labels = bilouvain.labels_\n", + "feature_labels = bilouvain.feature_labels_\n", + "print(labels, feature_labels)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1 2 3 4] [4 3 3 3 2] [5 4 3 2 2]\n" + ] + } + ], + "source": [ + "unique_labels, counts = np.unique(labels, return_counts = True)\n", + "_,feature_counts = np.unique(feature_labels, return_counts = True)\n", + "print(unique_labels, counts, feature_counts)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Counter({1: 12, 0: 5, 3: 11, 2: 6})" + "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" ] }, - "execution_count": 5, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Counter(labels)" + "# Graph as undirected (ignoring the bipartite structure)\n", + "bilouvain.fit(biadjacency, force_undirected=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[3 3 1 4 4 1 1 1 0 2 0 0 0 2 2] [2 3 3 1 1 0 4 1 1 0 0 2 2 0 2 0]\n" + ] + } + ], + "source": [ + "labels2 = bilouvain.labels_\n", + "feature_labels2 = bilouvain.feature_labels_\n", + "print(labels2, feature_labels2)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1 2 3 4] [4 4 3 2 2] [5 4 4 2 1]\n" + ] + } + ], + "source": [ + "unique_labels2, counts2 = np.unique(labels2, return_counts = True)\n", + "_,feature_counts2 = np.unique(feature_labels2, return_counts = True)\n", + "print(unique_labels2, counts2, feature_counts2)" ] }, { @@ -144,7 +648,34 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "from sknetwork.utils import bipartite2undirected" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "from networkx import from_scipy_sparse_matrix, draw, draw_networkx_labels" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "adjacency = bipartite2undirected(biadjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -158,7 +689,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -172,18 +703,58 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "n,p = biadjacency.shape\n", + "pos = {i: (0,i) for i in range(n)} \n", + "pos.update({n + i: (2,i) for i in range(p)})" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "pos_labels = {i: (0.5,i) for i in range(n)} \n", + "pos_labels.update({n + i: (1.5,i) for i in range(p)})" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "names = movies\n", + "names.update({n + i: actors[i] for i in actors})" + ] + }, + { + "cell_type": "code", + "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", "start_time": "2019-07-09T11:27:13.945785Z" }, - "scrolled": true + "scrolled": false }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/miniconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:579: MatplotlibDeprecationWarning: \n", + "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n", + " if not cb.iterable(width):\n" + ] + }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -193,15 +764,121 @@ } ], "source": [ - "draw(graph, node_color=[colors[labels[i]] for i in graph])" + "# Warning: If the image does not appear, run the cell again.\n", + "draw(graph, pos, node_color=[colors[np.append(labels, feature_labels)[i]] for i in graph], edge_color = 'grey')\n", + "show_labels = draw_networkx_labels(graph, pos_labels, labels = names)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(graph, pos, node_color=[colors[np.append(labels2, feature_labels2)[i]] for i in graph], edge_color = 'grey')\n", + "show_labels = draw_networkx_labels(graph, pos_labels, labels = names)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Metrics**" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.55086" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.round(bimodularity(biadjacency,labels,feature_labels),5)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.57" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.round(bimodularity(biadjacency,labels2,feature_labels2),2)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.54759" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.round(modularity(adjacency,np.append(labels, feature_labels)),5)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.57" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.round(modularity(adjacency,np.append(labels2, feature_labels2)),2)" + ] } ], "metadata": { @@ -6691,17 +7368,8 @@ "version_major": 2, "version_minor": 0 } - }, - "pycharm": { - "stem_cell": { - "cell_type": "raw", - "source": [], - "metadata": { - "collapsed": false - } - } } }, "nbformat": 4, "nbformat_minor": 2 -} \ No newline at end of file +} diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index 76dcf722e..efe562b11 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -187,11 +187,16 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] biadjacency = check_format(biadjacency) n_samp, n_feat = biadjacency.shape - samp_weights = np.hstack((check_probs(weights, biadjacency), np.zeros(n_feat))) - feat_weights = np.hstack((np.zeros(n_samp), check_probs(feature_weights, biadjacency.T))) if force_undirected: - graph = AggregateGraph(bipartite2undirected(biadjacency), samp_weights, feat_weights) + adjacency = bipartite2undirected(biadjacency) + samp_weights = check_probs(weights, biadjacency) + feat_weights = check_probs(feature_weights, biadjacency.T) + weights = np.hstack((samp_weights, feat_weights)) + weights = check_probs(weights, adjacency) + graph = AggregateGraph(adjacency, weights) else: + samp_weights = np.hstack((check_probs(weights, biadjacency), np.zeros(n_feat))) + feat_weights = np.hstack((np.zeros(n_samp), check_probs(feature_weights, biadjacency.T))) graph = AggregateGraph(bipartite2directed(biadjacency), samp_weights, feat_weights) iteration_count: int = 0 diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index f194980e9..e198c5dd0 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -46,6 +46,8 @@ class AggregateGraph: Adjacency matrix of the adjacency. weights: Distribution of node weights (sums to 1), used in the second term of modularity. + in_weights: + Distribution of in-weights (sums to 1), used in the second term of modularity for directed graphs. Attributes ---------- @@ -55,17 +57,19 @@ class AggregateGraph: Normalized adjacency matrix (sums to 1). node_probs: np.ndarray Distribution of node weights (sums to 1). + in_probs: np.ndarray + Distribution of node in-weights (sums to 1). """ def __init__(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', - feature_weights: Union[None, 'str', np.ndarray] = 'degree'): + in_weights: Union[None, 'str', np.ndarray] = 'degree'): self.n_nodes, self.n_features = adjacency.shape self.norm_adjacency = adjacency / adjacency.data.sum() self.node_probs = check_probs(weights, adjacency) - if feature_weights is not None: - self.feat_probs = check_probs(feature_weights, adjacency.T) + if in_weights is not None: + self.in_probs = check_probs(in_weights, adjacency.T) else: - self.feat_probs = None + self.in_probs = None def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], feat_membership: Union[None, sparse.csr_matrix, np.ndarray] = None): @@ -91,18 +95,18 @@ def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], if feat_membership is not None: if feat_membership.shape[0] != self.n_features: raise ValueError('The number of feature labels must match the number of columns.') - if self.feat_probs is None: - raise ValueError('This adjacency does not have a feat_probs attribute.') + if self.in_probs is None: + raise ValueError('This adjacency does not have a in_probs attribute.') elif type(feat_membership) == np.ndarray: feat_membership = membership_matrix(feat_membership) self.norm_adjacency = membership.T.dot(self.norm_adjacency.dot(feat_membership)).tocsr() - self.feat_probs = np.array(feat_membership.T.dot(self.feat_probs).T) + self.in_probs = np.array(feat_membership.T.dot(self.in_probs).T) else: self.norm_adjacency = membership.T.dot(self.norm_adjacency.dot(membership)).tocsr() - if self.feat_probs is not None: - self.feat_probs = np.array(membership.T.dot(self.feat_probs).T) + if self.in_probs is not None: + self.in_probs = np.array(membership.T.dot(self.in_probs).T) self.node_probs = np.array(membership.T.dot(self.node_probs).T) self.n_nodes, self.n_features = self.norm_adjacency.shape @@ -270,8 +274,8 @@ def fit(self, graph: AggregateGraph): """ ou_node_probs = graph.node_probs - if graph.feat_probs is not None: - in_node_probs = graph.feat_probs + if graph.in_probs is not None: + in_node_probs = graph.in_probs else: in_node_probs = ou_node_probs diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index bb0d8f0a0..7cb86e20c 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -72,19 +72,20 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union membership = sparse.csr_matrix((data, (row, col))) fit = ((membership.multiply(norm_adj.dot(membership))).dot(np.ones(membership.shape[1]))).sum() - diversity = np.sum(membership.T.dot(in_probs) * membership.T.dot(out_probs)) + diversity = membership.T.dot(in_probs).dot(membership.T.dot(out_probs)) return float(fit - resolution * diversity) def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feature_labels: np.ndarray, resolution: float = 1) -> float: """ - Modularity for biadjacency graphs. + Modularity for bipartite graphs: :math:`Q = \\sum_{i=1}^n\\sum_{j=1}^p (\\dfrac{B_{ij}}{w} - \\gamma \\dfrac{d_if_j}{w^2})\\delta_{c^d_i,c^f_j},` where + :math:`B` is the biadjacency matrix of the graph (shape :math:`n\\times p`),\n :math:`c^d_i` is the cluster of sample node `i` (rows of the biadjacency matrix),\n :math:`c^f_j` is the cluster of feature node `j` (columns of the biadjacency matrix),\n :math:`\\delta` is the Kronecker symbol,\n diff --git a/sknetwork/utils/__init__.py b/sknetwork/utils/__init__.py index b04d3a79b..6684258d2 100644 --- a/sknetwork/utils/__init__.py +++ b/sknetwork/utils/__init__.py @@ -1 +1,2 @@ from sknetwork.utils.projection_simplex import projection_simplex +from sknetwork.utils.adjacency_formats import * From 6f82b2ffed0485613900f2cc10394cfa7f951d0e Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 11:50:52 +0200 Subject: [PATCH 44/92] notebook Louvain --- docs/tutorials/clustering_Louvain.ipynb | 137 +++++++++++------------- 1 file changed, 60 insertions(+), 77 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index ee05c8bca..77ceeb0ac 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -195,7 +195,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -205,13 +205,14 @@ }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/miniconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:579: MatplotlibDeprecationWarning: \n", - "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n", - " if not cb.iterable(width):\n" - ] + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOyddVyU2ffHPxN0SKsIIoLYgYGNLsbasTa6Bqyd6Lrsfm2xxVobFQPFWlm7RcEgFAM7MDApaRgmnvP7Y37OihJTiHHfr9fzejkz9557HoTnM+fcc+/lERGBwWAwGIwfBH5pO8BgMBgMxpeECR+DwWAwfiiY8DEYDAbjh4IJH4PBYDB+KJjwMRgMBuOHggkfg8FgMH4omPAxGAwG44eCCR+DwWAwfiiY8DEYDAbjh4IJH4PBYDB+KJjwMRgMBuOHggkfg8FgMH4omPAxGAwG44eCCR+DwWAwfiiY8DEYDAbjh4IJH4PBYDB+KJjwMRgMBuOHggkfg8FgMH4ohKXtAIPBYHxtEBHCXoRhZeRK3E+6j2xJNox0jFDDpgYmNZ4Edwd38Hi80naToSY8IqLSdoLBYDC+BogIW25swdywuUgVpSJbnA3Cf49IHngw1DGEpaElZrWahWH1hjEB/AZhwsdgMBgAZJwM3oe9sf/efuRIcoptb6hjiH41+2FT100Q8AVqjSmSihByPwQ33t5AUk4SyuiVgbOFM/rX6g9rI2u1bDKKhwkfg8H44SEijDo2Cjtjdyoleh8w1DHEkLpDsK7zOpXGi0+Px8rIldh8fTMIhCxxluIzA6EBOOLQuUpn+LbwhVsFN5VsM4qHCR+DwfjhOfroKPr/0x/ZkmyV+xrpGGFfn33oVKWTUu3PPzuPbnu6QSwTQywTF9qOz+NDX6CPma1m4o/mf7CUqhZhVZ0MBuOHZ8HFBWqJHgBkS7Kx8NJCpdqGPQ9Dl91dkCXOKlL0AIAjDjnSHMwNn4t54fPU8o1RMEz4GAzGD83jlMe48e6GRjauvbmGuPdxRbZ5l/UOXXd3VSmVCgA5khwsurwIJx6f0MRFxkcw4WMwGD80225ug5STamRDxsmw/db2Itusv7oeEk6ilv0cSQ5mXpipVl/G5zDhYzAYPzRxqXEaC5+EkxQZ8Uk5KVZHr4ZIKlJ7jLuJd3E/6b7a/Rn/wYSPwWD80KiaeiyMouYIjz06prm4yiRYHb1aIxsMOUz4GAzGD42lgaVW7FgZWhX62f3k+8iV5GpkX0pS3Hir2VwkQw4TPgaD8UPTzL4ZjHWMNbJhpGOEZvbNCv08XZQOKWkW8QFARl6GxjYYTPgYDMYPjmdtT3DgNLbTv1b/Qj8z0TOBgKfe7i4fY6RrpLENBhM+BoPxg2Oka4Rf6/wKIV+9Pft1+DoYUncIDHUMC23jZO5U5OfKwOfxUd26ukY2GHKY8DEYjB+eP5r/AX2hvlp99YR6+L3Z70W26V6te77NrtXBQGiA8W7jNbLBkMOEj8Fg/PBUNq+MQ/0PqRyVGQoNcWTAETiaOxbZTl+oD29Xb+jwddT20d7UHg1tG6rdn/EfTPgYDAYDgIejB04OPAlTPVMYCA2KbGsgNICpnilO/XoKrSu1Vsr+xMYToSNQT/iMdIwwo9UMtfoyPodtUs1gMBgf8T73PbZc34LlkcuRLc5Gbl4upDIpDPQNIOQLYaxrjMlNJ8PL1QsWBhYq2d5/dz+GHhqq8gkQA2sPxMYuG9lG1VqCCR+DwWAUAEcczj87jzlr5uBi9EWsWbYG1W2qo3Wl1uDz1E+W7bq9C8MPD4dIKip23s9IxwiD6gzC2k5r1T7zj/E5TPgYDAajCPr374/9+/dDJBJBR0f9ObqPuf72OuaGzcWhu4cgFAohxX9r/AQ8AXQFuqhuVR3T3Kfhl+q/aGVMxn+oV7/LYDAYPwhpaWkA5IfVaov65evDy9ALh1cexvRD0xGTEIPU3FQY6xrDxdIFIxqMQE2bmlobj5EfFvExGAxGETRu3BgxMTHIzs6Gnp6e1uw2bdoUUqkUV69e1djW9bfXcf7ZeaTkpkCHr4OyxmXRvWp3VDCtoAVPvz9YxMdgMBhFkJaWBj5fuwXweXl5uHr1KoKDg9W3Ic3Dvrv7sOjSIjxPfw4pJ1UcbmsgNMCUU1PQulJrTG0+FT9V+okVxnwEi/gYDAajCGxsbJCWloaMjAzo66u3yP1Tli1bhmnTpiEnJ0ctUU3ISoDHDg/Ep8cjS5xVZFsjHSP8Uv0XBHYPVHt3mu8NJnwMBoNRCEQEPT098Hg8pKena034nJ2dUa1aNRw9elTlvik5KXDd6Ip3We+UPtjWUMcQ7Sq3Q0i/EI0qUr8X2E+AwWAwCiE3NxdCoRA8Hk9rxS3v3r3D06dPMXOm6ieqExE67eqkkugB8jMHzzw9gzkX5qg85vcIEz4Gg8EohNTUVJiZmWlV+ObNmwczMzO4ubmp3DfqdRTuJt1VSfQ+kCPJwfKI5RqfC/g9wISPwWAwCiEtLQ3m5uZaLQzZvXs3evfurVZf/yv+mp0YzwP23d2nfv/vBCZ8DAaDUQhpaWkwMzMDoJ11fFevXkVaWhqmT5+uct/3ue9x7PExjU55yBJnYcnlJWr3/15gwsdgMBiFoO1Up5+fH+zt7VGxYkWV+z5KeQQ9gebrCB+/f6yxjW8dJnwMBoNRCNpMdUqlUpw+fRojRoxQq3+6KF1jHwBAykkhkak+R/g9wYSPwWAwCuFDxAdonuo8cOAApFIpxo4dq1Z/I10jjcb/AJ/H/+HX8zHhYzAYjELQZsS3dOlS1KlTB2XKlFGrf8UyFZEny9PYD2sj6x9+FxcmfAwGg1EI2ipuSUtLw82bNzF58mS1bVQsUxF1ytZRuz8g38psbCP1Is7vCSZ8DAaDUQjaKm7ZsGEDBAIB+vbtq5E/vs19YaxrrHZ/IsKIBurNMX5PMOFjMBiMQtBWqnP9+vXw8PCArq6uRna6Ve0GQx1DtfrqCfTQxaULbIxsNPLhe4AJH4PBYBSCNlKdjx49wuvXr/HHH39o7I+QL8SpQadgKFRN/IQ8IexM7bCl+xaNffgeYMLHYDAYhaCNVKe/vz8MDQ3RqlUrrfhUzawaKl+pDL6YDx4VH4nqCfTgZOGES16XYKpnqhUfvnWY8DEYDEYhaJrq5DgOe/fuRZ8+fbRyph/HcRg8eDD0E/XhcsEF/Wr2g75Qv8D0p4muCcz0zPB7s99xbcQ1lDMup/H43ws/9mIOBoPBKAJN1/GdP38eOTk5GlVzfsyff/6JuLg4xMfHIywsDDVq1EBqbiq23tyKIw+PICU3BUK+EOWNy2OY6zB0r9odOgIdrYz9PcHO42MwGIwC4DgOurq6EIvFsLKywuPHj2FpaamSjQ4dOuD27dt4/fq1xv6sW7cOK1asgIGBAcaMGYNRo0ZpbPNHhUV8DAaDUQAZGRkwNjYGn89XK9WZnZ2N8+fP46+//tLYlyNHjsDPzw9dunRBUlISRo4cqbHND4hlYvx7/18ExATgdeZriGVimOmbob1Te4xtNBb2Zey1NtbXAhM+BoPBKICP05yA6qnOvXv3ytfNqbk35weuXbsGLy8vzJgxA0uWLMHNmze1svNKjiQHfmF+WH9tPTjikCnOzPf5vaR7WBW1Ci0qtsDitotRv3x9jcf8WmDCx2Aw1OZZ6jMExATgXvI9ZORlwEzPDPXL18dv9X9DeZPype2eRnwobAGgltCsXLkSVatWha2trdo+PH/+HN26dYO/vz+mTZuG7du3w8rKSm17H0jKToLHDg88ef8EIqmowDYftkc7+/QsWga2xK5eu9CjWg+Nx/4aYMLHYDBU5uzTs/AL80P0m2hwxEEsEys+Oxl3EvMvzkebym0ww30Gmtg1KUVP1efjNXyAahHfy5cv8eDBA6xdu1bt8VNTU9GpUyf4+vriwIED8PT0RJs2bdS294FscTZabWuFJ++fKH2Se440B54HPHGw/0G0d2qvsQ+lDVvOwGAwlIaIMOv8LHTf0x3h8eEQSUX5RA8ARFIR8mR5OPH4BDy2e2D9tfWl5K1mfJzqVHUd36ZNmwAA/fr1U2vsvLw89OzZEx06dICuri5ev36NefPmqWXrUyadnIRnac+UFr0P5Epz0WtfL2TkZWjFj9KECR9DO3BcaXvA+ALMujALyyKWIUeSU2xbAiFXmovfT/+OTTGbvoB32kXdVCcRISAgAC1btoSpqeoLxjmOg5eXFywtLTFs2DDMnDkTwcHBGm93BgAZeRnYdXtXoenN4iAiBN0K0tiP0oYJH0M9cnOBbduAmjUBfX1AIAB0dQEHB8DfH3j/vrQ9ZGiZM3FnsCxiGbIl2Sr1y5HkYNKpSYhNiC0hz0oGdYtbrl69ivT0dEyYMEGtcWfMmIGnT59i8+bNGDRoEBYtWoSqVauqZetTgm4Fgc9T/7GfLcnG0itLtXIafWnChI+hGhwHTJ8OWFsD48cD9+4Bef9/RphEAsTHA7NmARUqAEOGANmqPSQZXy9+4X5KRXoFkSfNw5LLS7TsUcnyacSn7MN+9erV4PP56Nixo8pjbtq0Cfv27cPhw4cxZ84cVKlSBV5eXirbKYw1V9eo/MXlU1JyUxDzNkZLHpUOTPgYyiMWA127AitWyAUtK6vgdjk5gEgE7NsHuLkBKSlf1k+G1ol7H4erb66q3V9GMhy4fwBpojQtelWyfFzcomyqMy8vDwcOHEDPnj1VTk2eOHECM2bMwPHjx3Ht2jWEhIQgICBAq4fGvs18q7ENPo+PVxmvtOBN6cGEj6EcRMDgwcD583JhUwaRCHj8GGjbVp4aZXyzbLq+CRxpNo/L5/Gx+/ZuLXlU8qiT6jx69Ch4PB5Gjx6t0lg3btzA4MGDERISAlNTU3h7eyMoKAgWFhYq+10U2jjBnSNO7cj/a4EJH0M5TpwAjh5VXcAkEuDhQ+Dvv0vGL8YX4W7i3c+qN1UlR5KDB8kPtORRyaNOccvq1athaGiIZs2aKT1OfHw8unbtivXr16Np06YYNmwYhg0bprXTHD7GSMdIYxsCngBl9MpowZvSgwkfQzmWLFF/vi43F1i+/Ouq/JRIgNevgfv3gZcv/5unZBSItkrYU0WpWrHzJVB1HV9SUhIiIiIwdOhQpYUyPT0dnTt3ho+PD3r37o3Vq1cjJSUFs2fP1sT1QqlXrp7GNvJkeahdtrYWvCk9mPAxiufZMyAqSjMbubnAyZPa8UcTnjyRF+WYmwMuLkDjxkC1avLXXl7A7dul7eFXSRl97XzDtzRQbZPn0kTVdXw7d+6EQCBQuhhFLBajV69eaN26NSZPnozY2Fj4+flh165d0NEpmRMVxtUfB11otiyimX0zVCxTUUselQ5M+BjFExKiebSWmQls364df9QhIwPo2BGoXRvYuFEevebkyP3KyZEL844dciFs2hRISCg9X79CXMu5Qk+gp5ENIx0j1LKppSWPSh5VU53r1q2DnZ0dqlevXmxbIsLw4cNhZGSElStXQiQSYcCAAfD394ezs7PGvn9KRkYGFi5ciBFtRoAnUb9YxkTXBH800/wk+dKGCR+jeN68kVd0aooWjmZRi+RkoH59eWGOSCRPcxaETCYXwJgYoF49+dIMBgBgeIPhGtuQyWToV0u9nUxKA1WKW+7cuYM3b94ofWrCnDlzcO/ePQQHB0MgEGDq1KmoXbs2Bg8erLHfH5OWloa5c+fCyckJd+7cwbGjx9AgrQF4UtXFT4evg4plKqKdUzut+lgaMOFjFI82RA8oXHBKkrw8eVVpfLzy83gSCZCUBLRqBaSnl6x/3wh2pnZoad8SUHPdMh98CO8L0aV9F5w5c+arXwCdl5cHiUQCQ0P5yebFpTo3b94MmUwGT0/PYm1v27YNO3bswNGjR2FkZIQjR47g6NGj2LBhg9aWLqSkpGD69OlwdnbGs2fPcPnyZUydOhW//vorquZUxSi3UQWe2l4YQr4QFgYWODv4rEYL4L8Wvv07YJQ8ZcsCfC38qqh4iKdW2LFDvqRCVdGVyYB374BVq0rGr2+MiIgIPNz0EAISqNVfX6iPqBVR8Pb2xsSJE9G4cWMcOnQI3NdU8PQR6enpMDc3VwhRUYIklUqxfft2NGjQAOXLF30ixdmzZ+Hr64vjx4+jbNmyePv2LYYPH46dO3fmiy7VJTExEb6+vnBxcUFiYiKio6MRGBiIM2fOoF27dpgxYwYCAwOxtstaTGk6BQZCAwh4Rf+fGusao7J5ZdwYeQPljMtp7OPXABM+RvG0bg0YGGhmw8gI6NJFK+4oDRGweLHy6w4/RSSSL8OQSrXr1zdETk4OpkyZgl9++QUrfFZgRecVKkUKACDgBHC86YgK+hXw66+/4s6dO/D19cWcOXNQt25d7N69GzKZrITuQD0+TXMChac6z549CwDFnrt3+/ZteHp6Yv/+/ahWrRo4jsOQIUMwcuRItGjRQiN/3759i8mTJ6NatWrIysrCjRs3EBAQADMzM/zyyy8IDAxEREQEBg4cCEAu5HN/mosI7wgMqjMI+kJ9GOsaQ4evAz6PDwOhAQx1DFHHpg42dtmI2FGx3/wxU/kgBqM4OI6oUiUiuZSodxkYEGVkfFm/IyKIjIw089vEhOjgwS/r91fCxYsXqUqVKjRgwABKSkpSvL82ei0Zzjck3mweYTYKvYRzhGQ435D239lPY8aMoXr16tG7d+8UdjiOo+PHj1Pz5s3J2dmZNm/eTHl5eaVxq58RGRlJbm5uitf29vb0/PnzAtv27NmT9PX1KT09vVB7r169Int7ewoODla8t2zZMmratClJJBK1/YyPj6exY8eSubk5TZo0iV6/fq347NKlS1SxYkXy8fEhkUhUpJ203DTaeWsn+V/2pwXhC2hd9Dq6+fam2n597TDhYyjHunVEhoZqiQcnFBJ5e395n//3PyIeTzPhA4g8Pb+876VIVlYWTZw4kWxtbenff/8tsM21V9fIZJgJ6c7VJcP5hvkEz2i+ERnMM6DfDv9GD5IeEJFc5GbPnk1OTk4UFxeXzxbHcXThwgVq164d2dvb099//005OTklfp9FcfLkSWrfvr3idcWKFQsUvrS0NNLX16cePXoUais9PZ3q1q1LCxcuVLx3/fp1srKyoqdPn6rl39OnT2nEiBFkYWFBU6dOzfeFQiqV0rx586hs2bJ05MgRtex/7zDhYyhHVhZR5cpEAoHKwpElFFLW3btf3uehQzUXPYCobdsv73spceHCBXJycqJBgwZRSkpKoe1CQkKoUaNGlJydTKujVtPYY2PJ8x9PGn98PG2K2USZeZkF9lu7di3Z2trSzZsFRxPR0dHUvXt3KleuHC1atKjIKKok2b17N/Xt21fxumLFivTs2bPP2gUEBJClpWWhAiMWi+nnn3+mkSNHEsdxRCT/YlGtWjXauXOnyn49fvyYhg0bRhYWFjRt2rR8kTgR0Zs3b8jDw4NatWpFr169Utn+jwITvu+NtDSiVauIatUiKluWyNJSnqYcPpxIU/F5+ZLIxoZIKFQ+2jMyIr8uXahu3boUHx+vnXtUlmHDmPApSWZmJo0bN44qVKhAhw8fLrItx3Hk5uZG//zzj1pj7d27l6ytrSksLKzQNrGxsTRgwACysrKimTNnUnJyslpjqcv69etp5MiRitcODg4FCl/Dhg2pTJkyJBaLP/uM4zj67bffqFOnTvnSmSNGjKBBgwap5M+9e/do4MCBZGVlRbNnz6b3799/1ubEiRNUrlw5mjNnDkmlUpXs/2gw4fteSE4mGjyYSF+/4JSkUCifZ2vQgCg8XP1x3r4lql2byNi46DSiiYlceGNjieM4Wrp0Kdna2lJUVJT27rk4pk3TTqpTxYfUt8a5c+fI0dGRhg4dWuAD9VPOnz9PVapU0ejheubMGbKysqKDxcyfPnr0iLy9vcnCwoJ+//13evv2rdpjqsKCBQvI19dX8drBweGztOSTJ0/I0NCQRo0aVaCNefPmkaurK2Vm/hf9hoSEkKOjo9KRbGxsLPXt25esra1p/vz5BfbLy8uj33//nezs7OjChQtK2f3RYcL3PfDsGZGdHZGOjnIPcgMDoh071B+P44guXCDq3FkutGXKKK5cPp9Sq1UjCgkh+mTS/tChQ2RlZUV79uzR7H6VJSpK7XnJfAJeTAT0rZKRkUGjR48mOzs7OnbsmNL9OnToQJs2bdJ4/OjoaCpXrhxt2bKl2Lbx8fE0fvx4Mjc3pzFjxhRaaKIt/vjjj3xzcpUqVfpsbnLGjBlkbm5OV65c+ax/UFAQOTg45Cs2efXqFdnY2BTY/lNiYmKoR48eVK5cOVq6dGk+8fyYuLg4cnNzoy5dunyW9mQUDhO+b52kJKIKFYj4fNUe6AYG2nmgJyQQXbxIdOwY0YULtHzCBPrzzz8LbX7z5k2qWLEizZ49WzHnUWJwHJGLi2bCZ2VF9B2mjc6cOUMODg7k5eVFqampSve7efMm2draFlslqCwPHjwgBwcHWrx4sVK/D+/evSNfX1+ysLCgoUOH0oMHD7Tix6eMGDGCNmzYoHjt6OiYT/hkMhmVL1+eKlSo8JnfoaGhZG1tTXfu3FG8J5VK6aeffqK5c+cWOW5kZCR17tyZKlSoQCtXrqTs7OxC2+7Zs4esra1p5cqVJf+39J3BhO9bp2dP5SO9Ty9DQyItFw9cuHAhXxl4Qbx9+5bc3NxowIABJV+9t2WL+lGfvj6Rn1/J+veFSU9Pp+HDh5O9vT2dPHlS5f6enp60ePFirfr06tUrqlmzJk2ZMoVkMplSfd6/f09z5swha2tr6tu3b6HFMurSp0+ffJkJR0dHevLkieJ1WFgYWVpa0vTp0/P1u3v3LllbW9O5c+fyvb9o0SJq2bJloenhixcvUvv27alixYq0du1ays3NLdS37OxsGj58ODk7O9O1a9fUub0fHiZ83zIJCfKHs7rRjJER0Zo1WnVJJBKRiYlJsVFETk4O9e/fnxo3blyy8zZ5eUQNGxLp6qr0sxEDlG1rq/UvBqXJyZMnqWLFijRixAi1qiWfPn1KFhYWlJaWpnXfUlJSqGnTpjR48OACC0UKIzMzk5YuXUrly5enLl26UEREhFb8adeuHZ06dUrxunLlyvT48WPF66FDh5KJiUm+iPPNmzdUqVIl2vHJNMLVq1fJ2tqaXrx4ke99juMoNDSUWrduTY6OjrRp06Zi1zHevn2batSoQQMHDqSML70u9juCCd+3jJ+fZsIHEDk4yFOCWqRdu3Z06NChYtt9WNtVsWJFunXrllZ9yMf790RVq5JUWfHT1SWRlRXVsbCgAwcOlJxfX4jU1FTy8vIiBwcHOnPmjNp2xo4dW2QaW1Oys7OpU6dO1Llz5yJTfAWRm5tLa9euJQcHB/Lw8KBz585plP5r1KhRvkIsJycnhfBlZ2eTkZER1a1bV/F5ZmYm1a9f/7NUZmZmJlWpUoX27t2reI/jODp58iQ1b96cqlSpQtu2bStW7DmOo40bN5KVlRVt27aNpTY1hAnft4y9vWaiB8irM69f16pbCxcupIkTJyrdfvfu3WRlZVVsGb0m5CQm0mlDQ5Lq6FBeYZWeHypfW7UiSkqimJgYpYsvvlaOHTtGdnZ2NHr0aI0ihMTERDI3Ny/xqkqxWEyDBg2iZs2aKVVhWlD/rVu3kouLCzVp0oSOHj2qlkg4OzvTw4cPSSqT0puMN2Tvak8XblygHHEO7dy5k2xtbWnFihVERCSRSKhz587k5eX12VheXl40dOhQIpKL15EjR8jNzY1q1KhBwcHBSlXGpqamUp8+fahu3bolNqf5o8GE71vGwEBz4StThujoUa26FR0dTbVq1VKpT2RkJNna2pK/v3+JfJv19fWlPn360L0TJ2itsTFxJiZEenpExsYk09OjbB6PaPRook8eLA8fPiQHBwfy9/fXuk8lyfv372nIkCHk6Oj42XyTOsyYMYNGjBihBc+KRyaTkY+PD9WqVUvtRdhSqZT27t1LdevWpbp169LevXtVWn5h7mBOU45OIfNF5qQ/T59403hk4GdAun66ZD3WmvSd9enNmzfEcRyNHj2a2rdv/1nUtm/fPnJ2dqa0tDQ6cOAAubq6Up06dWj//v1Kz2VGRkaSo6MjjR07tsh5P4ZqMOH7llG3qOXjy9SUSM2FyIUhkUjIzMws3zZKyvDixQuqW7cueXt7a3XPxpiYGLK2tqZ3797R5MmT6X//+5+8UjMxkejJE5K+eUNljIwKnZeMj4+natWq0f/+979vIsV0+PBhsrW1pXHjxhVaBq8KmZmZZGVlRY8ePdKCd8rBcRwtWrSIKlWqRA8fPtTIzpEjR6hJkyZUtWpV2rp1a5FpxTxpHg3+dzBhOkjfT7/gfUhngvgz+FR9TXWaunAq1alT57M50xcvXijW3tWqVYsaNGhABw8eVFrwZDIZLV68mGxsbCgkJETt+1cGjuPo/LPzNOv8LBpzdAz5nPQh/8v+9Cz1WYmOW5ow4fuWMTXVWPgkRkYkUaO6rzi6deum1nq9zMxM6tatG7Vu3Voru3VIJBJydXVVPPBsbGwKfJC6u7sXOf+VmJhIDRo0oFGjRn21u2IkJyfTwIEDycnJSasLmVesWEG9e/fWmj1V2Lx5M5UrV46uXr2qkR2O4+jcuXPk4eFBDg4OBVZO5ohzqMnmJmQwz6DIzbc/XLzZPOL9j0enbp7KZ0ckElHVqlXJ2tqamjRpQsePH1fpC9O7d+/o559/pubNm39WEKNNMvMy6e/Iv8l+uT0ZLzDOt+m4rp8u6fvpU+ttrenE4xPfxBc+VWDHEn3LNGqksQlZTg6ce/VCu3btMG/ePISHh0MkEmlst02bNjh37pzK/YyNjRESEoJGjRqhSZMmePjwoUZ+LF++HJaWlhgyZAhOnjwJZ2dnuLi4fNauUaNGiI6OLtSOtbU1QkNDcf/+fQwcOBBibR3OqyUOHjyI2rVrw8rKCrdu3UKrVq20YlcsFmPZsmXw9fXVij1V8fb2xvr169GpUye1fp8+wOPx4OHhgXPnzmHPnj04ceIEKleujGXLliErKwtEhN77e+PWu1vIleYqZZNAIF3CgJMD8DL9JSQSCYqybNkAACAASURBVAIDA2Fra4t3794hKCgIV65cQceOHZU+YPbs2bOoX78+GjZsiAsXLqBixYpq33NRPE97jprrauLPc3/iZcZLZImzQB+dMiyWiSGSiXDh+QX03tcbg/8dDImsFA6SLiF4RETFN2N8lZw6BfTuDWRlqdefzwd69kTqpk24dOkSwsPDERYWhnv37qFhw4Zwd3dHq1at0KRJExgZGalk+s6dO+jRoweePHminm8AAgMD8ddff2HXrl1o27atyv0fP36Mpk2bIjo6GpUrV0avXr3QoUMHDB8+/LO2+/btQ3BwMA4ePFikzdzcXPTr1w9SqRT//POP4oTu0iI5ORkTJkzAtWvXEBgYqPa5blJOiudpz5EmSoOuQBdljcqirHFZbN++HUFBQYoz50qLsLAw9OnTB2vXrkWfPn20YvPWrVtYsGABzp8/j47jOuKA8ACyJdkq2xHwBGig1wCJGxJhZWWFuLg4xMbGws7OTmkbEokEs2fPVpzO3qZNG5X9UJZXGa/gutEV73PfgyPlDgI2EBqgXeV2+Lf/v9/FCexM+L5lOA6oUEF+Urg6GBkBZ88CTZrkezszMxNXrlxBWFgYwsLCcOvWLdSpUwetWrWCu7s7mjdvDlNT0yJNExHKlSuH6OhoODg4qOcf5A+8fv36Yfbs2Rg1apTS/YgIHh4e6Nq1KyZPnoyUlBQ4OTnhxYsXKFOmzGftnz9/jubNm+P169fF2pZIJPD29sbTp09x9OhRrZycrQ7//PMPxo8fD09PT/j5+aklwq8zXmP9tfVYe3UtJDIJBHz5adx50jzUKVsHb/e/RcCUAHT8uaO23VeZmzdvonPnzpg+fTpGjx6tNbsPHz7ET1t/wlv9t4Bygdln8Dk+DjQ9gCljp2Dp0qX45ZdflO774sULeHp6wtTUFNu3b4eNjY16TigBRxxqrK2BJ++fQEaqHf5rqGMI3+a+mNlqZgl59+VgwvetExQEjBql+injenqAmxsQFgYUk4bJyclBZGSkIiK8evUqqlevrogIW7RoAQsLi8/6DRgwAO3bt8ewYcNU8+0Tnjx5gi5duqBDhw7w9/eHUCAALl4EVqwAbt8GsrMBQ0PAxQWYNAlo1w6bAwMREBCAiIgICAQCrFmzBhEREdi1a1eBYxARypYtixs3bqBChQrF+sRxHHx8fBAWFoZTp06hbNmyGt2jKiQmJmLcuHGIjY1FYGAgmjVrprINKSfF+OPjsfXmVgBAniyvwHZ8CR9mpmb4t9+/cHdw18hvbRAXF4f27dtjyJAhmDFjhtIpxKJ4mf4SVVZXKfRnoAyGOoao8bYGXPNcERAQoHS/kJAQjB49GlOnTsXkyZPB55dsNHU67jR67euFLLF6WSITXRMkTU2CnlBPy559WZjwfQ/89Rfw999Ki59EIIBO5crAtWtAMZFbQeTl5eHq1auKiDAyMhKOjo4KIXR3d4eNjQ02bdqE8PBwBAUFqTzGp6SmpqJv3774OSEBk9PSwE9NlQvep7++xsaQGRhgek4OBly+jDp16wIAGjZsiAULFqB9+/aFjtGlSxd4e3ujZ8+eSvlERPDz80NQUBDOnDmDSpUqqXt7So+3b98+TJw4EUOGDMHs2bNhYGCgsh0pJ0Xn4M64FH8JORLlfmcMhAbY03sPulXtpvJ42ubdu3fo0KEDWrRogb///ltjsdh8fTMmnpyo9M+iMPST9ZG8KFmpaQGRSIQpU6bgxIkT2LNnD9zc3DQaW1na7miLc8/Unys10TXBhi4b4FnbU4tefXmY8H0v+PsDM2bI059FFF5wRka4LpEgJSgIP/ftq5WhJRIJrl+/jrCwMISHh+PSpUsoX748XF1dceLECdy+fVul+Y6CHecgGz0a0sBA6EmlxTYX6+hAt1s3YPdu3H7wAB07dsSLFy8gEAgK7TN37lzk5uZi4cKFKrm2evVqLFmyBKdOnUKNGjVU6qssCQkJGDNmDO7fv4+tW7eicePGatsaenAo9t/br/KD3lBoiPNDz8Otwpd5SBdFeno6unXrhvLly2PHjh3Q1dVV29biS4sxPXQ6pFT871VRWPOt8U+rf6Cnp1fkFRcXh/79+6NatWoICAgoMPVeErzOeA3n1c4QSTUrXqtXth5ujLqhJa9KByZ83xPPngGrVwObNskLV2QyeUQkEAASCdCyJfDHH7iir49fevdGVFSURvNvhSGTyRAbG4sLFy5g2rRp0NPTg6WlpSIibNWqFRwcHFRLU/n4AAEBqqV0DQyA7t3xu60tdPX0sGDBgiKbnzhxAv7+/mpVD+7cuRO///47Dh8+rNVv70SEPXv2YNKkSfD29sbMmTOhr6+vtr3bCbfReHNjpSsXP6VB+Qa4NuKa2uNrE5FIhAEDBiA7OxshISEwNjYGAEilUrx//77IKyUlRfHvp+Wf4n2990Dh34mUwiDXAA0uN0BeXl6hl0gkgkwmg1AohKGhYbEiqc3rZvpNTI6ajExJpkb3aaRjhKz/qVlQ95XAhO97RCQCQkOBhAR59GduDjRtCtjbK5r4+/vjn3/+QXh4uEbflovDy8sL9evXR+vWrRURYVhYGHR1dRUi6O7ujipVqhQuhOfOAd26qT6PCYCMjDBKKMTkqChUrVq1yLbJyclwcnJCamqqWumzI0eOwNvbG3v27IGHh4dqnW/eBNauBe7dk1fpmpoi28UFU1+8wMWEBGzduhUNGzZU2adP8TrkhR23dqhc2PABA6EBro24hhrWJRPZfoxYLC5WuJKTk3HlyhWkpaXB0tIS6enpyM7OhpmZGSwtLWFhYVHkZWlpiXPvz2FezDzkSDVLdTau0BiRv0UW+FlmZiZGjRqFW7duYffu3XB2di5SIEviSrJMwutGr8HpKlfJWRgCngDSmZpFx6UNE74fFCJC9+7d4eTkhBUrVpTYOLt27UJISAgOHDiQb+zHjx8r5gjDwsIglUrzRYTVq1f/T3zatZNXn6rJE0NDOGcrV6bu5OSEY8eOoVq1amqN9aHsPiAgAD169Ci+wz//AHPnAnFxQF6ePEr/f8QAeEIhBPXrg+/nBxQxP6kMGXkZKOdfTu1oDwCEPCGGuQ5DQFflCzhEIlGxUVdBl0gkKlKwPvzb3Nwce/bsQXh4OA4ePIiaNWuq9MXlVcYrOP/trHFxy6I2izC+8fjPPouJiUH//v3h4eGBFStWlNoSmDNxZ9Bnfx+k56VrZMdAaICcaZp9SShtmPD9wKSmpqJ+/fpYtmyZSuXXqvDmzRvUrl0bSUlJhT6MiAjPnz/PFxFmZGSgZcuW6FS7NrwWLQJfgwXjEl1d6ERHA/9f6FIUAwYMQMeOHTF48GC1x4uJiUGXLl2wYMGCwitaOQ6YMAHYulW5SNbQUF7ENG1asVW4hXE67jT67O+DjLwMtfp/wFLPEv80+adY8frwmVQqzSdUykZixsbGKqXDV6xYgRUrVuDkyZNKz7UmJSVh/fr1mP9iPsT2YrWXMxgIDfB2yluU0f9vvo6IsGrVKixYsECr6w9VheM4xMbGYvfp3fDP8gcn0CziczJ3wpMJ6q/P/RoQlrYD3zwSCXD6NBAfL3+AlSkD1Kkj31VFC6XWJYm5uTn27duHzp07o27dunByctL6GLa2trCxscHNmzdRv379AtvweDw4OjrC0dERQ4cOBQC8evUK4eHh0F+1ChKxGJoUTwtlMmDLFnnlazG4ubkhOjpaI+Fr0KABzp8/j59//hlpaWnw8fH5vJGPj/KiB8jbLVwoX4YydapafqXkpEAb33NTs1Mxe/bsz8TKycmpQGEzNDTUyrKD4vDx8YG1tTV++uknHDx4EE2bNi207b1797By5Urs378fvXv3xrqB6zAxcqLaC9j71OyTT/SSk5MxbNgwJCYmIioqCo6Ojmrdk7q8ePECZ8+exZkzZ3Du3DmYm5ujbdu2qOhQEc9Fz9W2a6RjhImNJ2rP0VKCCZ+6vH4NrFsnv2QyQCqVXzo6csErXx7w9QUGDJAvFP9KadSoEWbOnIk+ffrgypUrGhVOFEabNm0QGhpaqPAVhJ2dHTw9PeXrDIvYSkwZeDIZ8PSpUm3d3Nywe/dujcYDgGrVquHixYto164dUlJS4Ofn99/D/8gRuRCrOmeZkwPMng20aiVfg6kiHxana4qhoSEuXLigFVvaZtCgQbCwsEC3bt2wY8cOdOz438J7IsLZs2exfPly3LhxA2PGjMHDhw9hY2MDIsLhhMM48/SMaqlgAkhE+M3xN8VbYWFhGDRoEDw9PRESEgIdHR1t3mKBpKamIjQ0FGfPnsXZs2eRnp6Otm3bon379li8eLGiiG3vnb0YfmQ4MsXqFbhwxGFwXfW/FH4tsFSnOuzbBwwdKk9X5RUxL2BkBBgbAxcuAGrOGX0JiAj9+vWDpaUl1q9fr3X7ISEh2Lx5M44fP656519/BXbu1NiHZ5Uq4diUKbCysoKVlRWsra0V/9bT+y+ezMnJgbW1Nd6/f5/vfXVJTExEhw4d0LRpU6xevVqe7m3cWH0x5/GAnj2Bj+ZMlSX0WSh67u2pcapTL08Pf+r+CTc3N7i5ucHKykojeyVBREQEevTogeXLl6NXr14IDg5WzGVPnjwZAwYM+OxLnkgqQrugdrgcdxmkU/xjkc/jw1TXFBNMJ2DDnA3YtWsXLl26hICAAGzduhU///xzidwbIJ83vXLlikLoHjx4gObNm6Nt27Zo27YtateuXeDUglgmht1yOyTlJKk8pr5QH4NqD8Kmbpu0cQulChM+Vdm2DRgzBshV8lshjweYmACRkUD16iXqmiZkZGSgQYMGmDNnjjzS0iLv379HpUqVkJycrHoFqY8PsHKlxj7crV4d6376CcnJyZ9durq6+cQwMjISHTp0QK1atfIJ5IfLwsKiyPWAn/JhzVmFChWw/a+/oNO4sfK/PwWhpwe8fAlYW6vUTSQVwXqptdq7dgCALl8XHS07ovrL6oiOjsa1a9dgbW0NNzc3NG7cGI0bN0a9evVKJHOgKuHh4ejatSuICC1atMDkyZPRpk2bItOuEpkEhn0NIaspg4AvgJRXQPUiBxjqGcLJ3AmH+h+Co7kj9u3bh0GDBsHJyQmhoaEoX768Vu+F4zjcunULZ86cwdmzZxEREYGaNWuiXbt2aNu2LZo0aaL0F7Wb726iRWALldK6ugJdVLeqjgjvCBjoqL5pwtcGEz5ViIgA2rRR/aHF48kfUo8fq7VTypfi1q1baNu2LS5evKh2VWNhNGjQAH///TeaN2+uWse9e4Hhw4FM9dcecYaG4C9cKC8m+QQiQmZmpkIEk5KSsHTpUlhYWKBq1aqK9z4WyrS0NJiZmeUTw08F8tPXQqEQ/fr1w9C7d9HjxQsIOA0KDPT1gUWLgImqzbWIxWJ0WtUJ5zLPqb1mTV+gjwfjHsDBTJ46k8lkePDgAaKjoxEVFYWoqCg8fPgQNWvWROPGjRWCWKVKlRLfjusDd+/exYoVK3DgwAF07NgRkZGRGDBgAObNm1fsXKNMJoOuri4q1aoEmw42iEQk9Ez0oCPQgShPBI44CB8LcWDKAXRp0AWAfBnL8OHDMXDgQBw9ehRdunTBkiVLVPpyVBDPnj1TRHShoaGwtLRURHStW7fWaI/YiJcR6LCrA7LF2cUubTEQGqCWTS2cGnQK5gbmao/5NcGETxU8PIDz59Xra2Qkf1iNG6ddn7TM5s2bsXLlSkRHR2u17Hrq1KkwNTXFjBkzVOsoFsu/NGSon57LBfDX0KEY/eefxa7lA+Q/g4sXL2L79u0Ffi6TyRRryD6+PhXIj98Ti8UwMzNDYFISOmvjT27sWGDNGqWaSqVS7NixA35+frCrbYfoRtEQc6pXyfLAQ6tKrXB+SNF/Azk5Obh+/Xo+MUxPT0ejRo0UUaGbm5tWN2MmIpw+fRrLly9HbGwsxo4di5EjR8La2hrJycno1KkT6tati/Xr10Mo/Ly04dqba7jw/AJepbzCqpWrMKz3MBxbdgz1nOthV8gunA4/jUljJ+HaxWuYN3seqlSpggkTJsDX1xcHDx5EcHAwmjVrhtTUVPTu3RuGhoYIDg6GiYmJ0veQkpKC8+fPK8QuMzNTIXRt2rTR+hFFz9Oewy/MD7vv7Aafx/8sAjTWNYaJrgkmN52M8W7jv/n9OT+GCZ+yPH8uT1VqclZdxYpyO19xtScRYciQIRAIBNi6davW7J44cQKLFy9WryjC1xdYtaro+dRCkPH5uObsjJ8TEiAQCODq6ooxY8agW7duBT4AASA2Nhb9+vXD/fv3Vfe1ADiOw5o1azB79mxEGRigyps3Gtt83rIlXvj5wcbGBmXLloWZmdlnEZVMJkNwcDDmzp0LOzs7zJ07Fy1btsSM0BlYHrlc5S3LTPVMcW34NVSxrKKyvwkJCQohjI6ORnR0NMzNzfMJYf369VXeezQ3Nxe7du3CihUrIBQK4ePjgwEDBnyW9svKysIvv/wCY2NjBAcHQ19fHyKpCHvu7MHiS4sRnxEPiUwCCScBSD6fJcoToaFlQ8xsMxNjOo/Bxg0b0alTJ4SGhmLChAnQ09ODg4MDtmzZAnPz/yIhiUSCcePGISIiAkeOHCl0dySRSITLly8r0pePHj1CixYtFOnLWrVqfZFq2My8TATFBuHY42NIyUmBrkAXFUwqYJjrMLSt3Pa7OIboU5jwKcvUqfJyeE0OIDU2Bo4elVflfcVkZ2ejUaNGmDp1qsYnK3wgKysL5cqVQ2JiouqR5Js3QI0aQLrqC29z+Hz83ro1avXqhVmzZsHb2xuXL1/G06dPMXz4cAwfPvyz0xikUinMzc3x6tUrjfdRfPr0Kby9vSESiRAYGIjqf/0FHDqkkU0AOOLsjKXlyyMxMRGJiYnIysqClZUVbGxsYG1tDZFIhLt378LU1BR9+/ZVbBz+4XOfUB8E3w5Wap6HBx6MdY1x+tfTaGLXpNj2ysBxHB49eqQQwqioKNy7dw/Vq1fPN19YtWrVAlOkCQkJWLduHTZs2IBGjRrBx8cHHh4eRQpFXl4ehgwZgnfv3mFj8EZ0D+mOVxmvivwZ8MADn+OjqrgqYufHQsAXYMeOHRg6dChmzJiB2bNnFzjmhzV8S5YsQUhICJo0aQKO43Djxg1FRBcZGYnatWsroromTZqU6C5KjP9gwqcsTZoAUVGa2dDVlac7C1rX9ZVx7949tGrVCqGhoahdu7ZWbLZo0QKzZ89W61BZREXJ51eV3IEFAGBgAMnevZh+6RJ27tyJyZMnw9/fH3/99Rdat26NDRs2YM+ePfjpp58wZsyYfA9Od3d3zJo1S+0DQTmOw9q1azFnzhz89ddfmDRpknzOZ8ECwM9Ps8yBsbF8e7OP1hqKxWIkJCRg7969WLNmDQQCAdq0aQMzMzMkJSUpBDIxMREJCQkQCAXQb62PNNc0EFGBVYx88KEn1IOjmSP+6fsPqluXbHFWbm4ubt68qUiPRkdHIyUlBQ0bNlREhaampggKCsK///6L/v37Y+LEiSrNR8tkMgyfNBxBRkGAkfykCmUwFBqinWM7lDldBlGRUahfvz6qV69ebOp+y5Yt8PHxQY0aNfDkyRNYW1vnm6f7UhtUM/LDhE9ZqlcHHjzQ3M706fIH3zdAUFAQ5s+fj6tXr6o0V1EYM2fOhEQiUfn0AwXXrsm37RKLixTAPIEAegYG8sjq//fMPH/+PIYMGQIPDw9cvXoV7u7u+PvvvyESibBz506sX78eeXl5GD16NIYMGYJFs2ahpliMwZ07yzf8trICGjQACkmPfsyTJ0/g7e0NqVSKwMBAxbwiEeHKwYNo1Ls3dDUpbjE2BhIT5Ztw/7/do0ePYubMmeDz+Zg7dy46depUaPRDRMjKykJCQgLi38Sj16xe4Lvz8Z7/HgISgAMHEGD60hS8KB6yHmXBzMxMkVb9EDkWdpmYmGgtRZeUlITIyEjs2bMHp06dwvv372Fqagp3d3e4u7ujcePGqF+/vlJHAX249/ob6yM2IVZ+nyrAk/LgmumK8PnhuHXrFoYPH467d+/ma5OcnIzz588r0pe5ublo0KABoqKiMHDgQCxfvvyLFfkwCocJn7K4uso3EtYEgQCYNw/480/t+PQFGD58OLKyshAcHKzxwywsLAx//PEHojSJnDMygB07QEuWIPvlSxgaGoIvlcoFSSBASm4ukgcPRtUlSwBLy3xdU1NTMWrUKMTGxsLS0hIGBgbYt28fzM3NQUS4fPkyQpYsQdVTpzBYKoWMx1Ps+A+Ok29OMGECMHIkUK7cZ67JZDKsXr0a8+bNw/Tp0zF+/HgIBAKIRCLs3r0bK1euhEQiwREdHTjGxkKtx5+ODjB6NLBqFYgIp06dwsyZM5GXl4c5c+age/fuKv0/xcTEoE+fPoiLi4OUkyI9Lx26Al2Y6P4nXjKZDCkpKYpo8ePosaBLIpHkE8KixNLa2rrQ9F5ubi6CgoKwcuVK6OnpwcfHB3379sXLly/zRYV37txBlSpV8lWRVq9evcCqyvAX4egc3FntJR2meqZI/D0ROnwdODo64sCBA0hNTVWkLx8/fgx3d3dFVFezZk3weDwkJiaiR48esLe3x7Zt29Q6R5GhPZjwKUvPnsDBg5rZMDaW7/Ty66/a8ekLkJubiyZNmmD06NEYNWqURrby8vJgZWWFly9falSKDQC3bt7E4m7dEDxrllwMTUzwnM9Hi+nT8eLly0JLyYkIQUFBmDx5MmrUqIHExEQcPXoUzo6O8orbbdtAMhl4EknBA39Yn+bnB/z+u+Lthw8fwsvLCwKBAIGBgXB2dsbbt2+xfv16BAQEoH79+pg0aRJsbGywqG9fbI+Lg546UZ+RESg2FqHPnmHmzJlITU3FnDlz0KtXL7UiCR8fH5iYmGDu3Lmq+1IIOTk5BaZXCxLJpKQkGBsb5xNDY2NjPHv2DDdu3ICLiwt+/fVX/Pzzz4UW8eTl5eHWrVv5xPDdu3do2LBhvvlCW1tbdN3dFcceHQNBvceeia4J/qjxB4T3hVi/fj3evn2LRo0aoW3btmjXrh3c3NwKFXKRSITffvsNjx49wqFDh7S+1o+hPEz4lOX0aaBXL/mRMWpCBgbgJSTIF7R/Qzx69AjNmzfHqVOnVNp2rCDatWuH8ePHo1s3zU7yXr16NWJjY7Fp03+7SPzxxx/g8/lYtGhRsf2fPXuGQYMGISUlBWkpKbjj4gKrmzeV30bM0BAYMwayRYuwcuVKLFy4ELNmzcLYsWNx48YNrFq1CkePHsWAAQMwfvx4ODs7Y9GiRVi1ahWWLl2KIQIBeCNHqrQmlAwMcMfPD+MOH8bbt28xe/Zs9OvXT+31YlKpFHZ2dggPD4eLi4taNjSF4zikpaUhMTERV65cwY4dOxAdHY2aNWvC2dkZYrE4n1BmZ2cring+vT6OLHV1dfH8+fN8gqhjpoPEgYng+Jpt0qyXqoeRNBKVKlXC6tWrERcXp3SUTUSYP38+AgICcPjwYdSrV08jXxjqwfbqVJa2beURm5rCJ+PxsJvj8HDJEkyYMAHWKu66UZq4uLgodpePiYnRKFr7sG+npsJ38eJFdO3aVfFaKpVi586dSh8i6+joiLCwMCxcuBDW8+bB4MoV1RzIyQG3Zg2WHjiAUw4OuHLlCmJjY9GqVSvEx8dj3LhxWLVqFczNzXHv3j00bdoU5ubmuH79Ouw/nIuoowN4e8s3Oi8swgQAPT3kSqX4VVcX19euxaxZszBw4MBCl2Moy9mzZ+Hg4FBqoveBiIgIrFixAvfv38e4ceNw4MABWH6Spv6AWCz+LJr8cD18+PCzyFJHRwc2NjaoUqUKJLYSJHFJUC/H/B88ax5WTZOnmtetW4eYmBilz0rk8XiYPn06qlativbt22PTpk3o3r27Zg4xVIcYyrNsGZGhIZH8XHPVLgMDij9+nEaOHEnm5uY0ceJEio+PL+07Uolx48ZRz549ieM4tW1ERUVRrVq1NPKD4zgqW7YsPXv2TPHe8ePHyc3NTXVjr1+TTFdXvf9TgDKFQpr5559UsWJFat68Oe3fv58kEgkREUmlUlq6dClZWlrShg0bCv65PXlCNG4ckbGx/OLxiACSApSrq0sSIyPaU7kyNSpfnhwdHWn+/Plq/tQ+x9PTk1avXq01e6qQnZ1N69evp6pVq5KrqysFBQVRXl6eVsfgOI7S09Pp8ePHdPnyZfrf9v+R/hx9wmxodPFm8xT/l9OnT6cpU6ao5d/Vq1epQoUKtHjxYo3+phiqw4RPFSQSojZtiPT1VXtAGhoSLV+uMPP69WuaMmUKWVhYkLe3Nz169KgUb0p5RCIRNWzYkFasWKG2DYlEQmZmZvTu3Tu1bTx69Ijs7e3zPSz69u1L69atU93YjBlEenpqC18GQJ4CAbVp04bOnTun8OnRo0fUrFkzatWqFcXFxRXvR04O0c6dRHPnEvn4UNywYTTIwIDMDA1pzZo1JBKJ6OXLl1S+fHk6c+aM6vf5CRkZGVSmTBlKTEzU2JYqvHnzhqZNm0bW1tbUrVs3unDhwhd76J97eo7KLCyjsfDp+ukqbN65c4fs7OxIJpOp5dPLly+pXr16NGzYMK0LP6NwWF2tKgiFwOHDQLNm8jkeZTA0lFdxfrR2z9bWFv7+/nj06BHs7e3RrFkz9OvXDzc1rRotYfT09LBv3z4sXLgQkZGRatkQCoVwd3fX6Fib8PBwtGzZUjGvkpqaipMnT6J///6qGZJK5dt+qbEjzAdMAOyoUQO//PILJk6ciBo1aqB3795o3Lgx+vbti9DQUFSuXLl4QwYGwMCBuNOzJ3rHx6PFyZOoNWsWarq6IiIiAnw+H3Z2dggODsagQYPw4sULtX0GgH///RctW7b8Yin3mzdvYsiQIahZsybS0tJw+fJlHDp0CK1atfoiu5MAgEMZB4hlGmxA8f8YyAxw9epVcByHpKfA+gAAIABJREFUmjVrwszMDBEREWrZsrOzw6VLl5Camop27dohOTlZY/8YxcOET1UMDYFTp+QnYVtaFlyoIhDI29WqBezZAxSyyNXS0hKzZs3C06dP4ebmhs6dO6Nz5864dOlSCd+E+jg6OiIgIAD9+vVDSkqKWjY8PDyUnosriPDwcLi7uyte79mzBx06dMi3bZRSPH1a9Nyakgju3MGYUaNw+PBhGBgY4MKFC5DJZLh9+zZu3LihlI0HDx5gwIABaNOmDZo0aYInT57A19cXp0+fRmpqKnr27Inc3Fy0bt0aU6dORa9evSDSYBH8zp078WsJVxdzHIcjR47Aw8MDXbp0USziXrNmDapUUX3bM01xsnCCi4Vm85l8GR9OKU4YOnQoypYtC09PT7i4uGDLli1q2zQyMsKBAwfQrFkzNGnSRGtb5TGKoLRDzm8aiYTo0CF5+tPJicjWlqhaNaJBg4hiYlQ2l5ubSxs3bqTKlStTy5Yt6cSJE19t7n/KlCnUqVMntVI8t2/fJicnJ7XHdnR0pHv37ileu7m50fHjx1U3FBlJVKaM2mnODxenq0vbVqwgKysrWrx4MUmlUnr37h0tWLCAHBwcyM3NjbZu3Uo5OTmfufD48WP69ddfydramhYsWECZmZmftRGLxeTp6Unu7u6UlpZGHMdR3759ycvLS63fj9evX5O5uXmB/miDrKwsWrduHbm4uFCDBg1o165dJBaLS2QsZRGJRLRx40ay/smaBNMFaqc5hbOEZGVvRZ06daKdO3dSQEAAdejQgXg8HtWpU4d8fX0pNDRU7bTl1q1bydramk6dOqXlnwDjY5jwfYVIJBLatWsX1apVi1xdXWnfvn0klUpL2618iMViatq0KS1atEjlvhzHkY2NDT1//lzlvi9fviQrKyvFA//evXtUvnx5RUGJSsTEEJmaaix8Eh6PmtWtS7dv3/5sCKlUSkeOHKGOHTuSlZUVTZkyhR4/fkzPnj0jLy8vsrS0pDlz5lB6enqRrspkMhozZgy5urpSQkICZWZmUs2aNWnjxo0q37a/vz95eXmp3K84Xr16RX/99RdZWVlRjx49KDw8vNS/uOXk5NDff/9NdnZ21LFjRzoffp4sF1mqJXr6fvrkecCTcnNzacuWLVS7dm2qUaMGbdy4kerVq0erVq2iGTNmkJubG5mamlLXrl1p7dq19OTJE5V8Dg8Pp7Jly9LatWtL6KfCYML3FSOTyejw4cPUuHFjcnFxocDAwK9qAjw+Pp7Kli1LYWFhKvft168fBQYGqtwvODiYevbsqXjt6+tLU6dOVdkOERG9eqV6oVIBl5jHo+cfVZgWRlxcHI0ePZr09fVJKBRSnz59VCou4TiOpk+fTi4uLvTixQt6+PAhWVtbU2RkpEq3XbduXQoNDVWpT1HExMTQoEGDyNzcnMaPH0+PHz/Wmm11yczMpCVLllC5cuWoR48edPXqVcVno+aMIsFM1aI+nbk65LLahTJEGQo7HMfRuXPnqFu3bmRkZER169ally9fEhFRUlIS7d69m4YOHUrlypUjJycnGjt2LB0+fLjAqP5Tnjx5QtWrV6fx48er96WOUSRM+L4BOI6j0NBQatu2Ldnb29OqVasoOzu7tN0iIqITJ05QhQoVKCEhQaV+AQEBNGjQIJXHGzVqFC3//wpZqVRKtra2dOfOHZXtKKhTRyPRk/J4dNHeniwsLKhGjRo0ceJEOnbsGGVlZeUb5s2bNzRu3DiysLCgKf/H3nlHVXU1bfyhCyi9KYhgRVRARawhxkKxFyyoWGLviggWFBHU2I0lxB4Ve0HsxgIqBlCC2FFRYwMVFKW3e5/vD175JLTb0MTc31qspfecPTPncDlzZvbs2TNmMCgoiG3atKGZmRkXLlzIxMREkU1evXo1a9asyfv37zM0NJQ1a9YU+f7funVLqirETwgEAoaGhrJ9+/Y0MzPjsmXL+P79e6lkyoLU1FQGBATQ0NCQAwYM4K1bt4odf/fuHfX19Tl5xWQqzFGggp9ChU5PLUCNjTY04puMsu/xpUuXqKamRl1dXQ4cOLDYy4hQKOTNmze5dOlSdujQgVWrVuUPP/zApUuXMi4ursyo+MOHD3RycqKzszM/fPggmxskh6Tc8f3ruHbtGnv37k0jIyMuWrSIqampX9skzp07l506dRIrHZuQkMDq1auLnQpr1KgRY2JiSBY63RYtWog1vgTBwYXr5yR1fpqa5PXrLCgo4LVr17ho0SK2b9+eVatW5ffff89Zs2bR3d2dOjo69PT0LOGg4uLiOHbsWOro6LBfv368ePGiSPdk+/btNDY2ZkxMDOfOncv27duXjAxyc8lnz8hbt8gnT8jMTHp7e9PHx0fi25WRkcH169ezXr16tLe35969e7/6/B1ZGGH5+vpSX1+fw4YNY3x8fKnnzZkzh71796aBgQFX71xNtUFqVPJTorKfcgmHV21xNVbxq0K7aXbMzKv4RbNt27bcv38/V61aRQsLC7Zq1Yr79u0rcX/S09N5/PhxTpo0iXXr1mX16tU5bNgw7tmzh8nJycXOzc/P56RJk2htbS3ashg5IiF3fP9S7t69y6FDh1JPT4+zZs2Sal2ctOTn57N9+/ZcsGCByGOEQiHNzc15//59kcekpKRQS0ur6AE/YMAA6edBcnKkm+dr2LBUsU+fPqWbmxvV1NSop6dHHR0durm5cePGjXzy5EmJ8z9+/Mj169ezUaNGbNiwIX/++ecKX2pCQkJoaGjI8+fP09nZ+f8XUj98WLgoXlOzcA2plhapqUmhmhpD1NWZsH+/2LfpxYsX9PHxoYGBAfv06cMrV6589fk7kkxKSqKXlxf19PQ4ZsyYUu/tJ96+fUtdXV2amZlx9+7d7NSpE9euXUvTuqb0POTJ6rOrs0ZADTbb2IzddnfjkXtHmPI+hYaGhrx7926Ftqxbt44eHh4kC7MRR44coaOjI83MzPjTTz/x3bt3pY5LSEjghg0b2KNHD2ppabFFixacN28eIyIiir7r69evp4mJCS9fvizBXZLzd+SO71/O06dPOWHCBOrq6nLSpEkSFYzIgsTERLEXV48YMUIsx3X06FE6OzuTJN+/f08tLa0yHybiEObjwywJnJ5QU7MwmvqM9+/f09fXl3p6ehw3blxRd55Xr15xx44dHDx4MI2NjVmnTh2OGzeOhw8fLubghEIhL126xIEDB1JHR4ejRo3in+VUCF+4cIEGBgYMDg5m41q1mGhnVzhvqaJSemoW/2uoYGdXOMdZATExMRw8eHBRt6F/StTx/PlzTp48mbq6upwyZUrR3Fp5TJ8+nWZmZpw5cyZPnjzJBg0a8Pz582zSpAlJslu3bgwJCSkxbsWKFezVq1eF8pOSkqijo1OiWjY2NpbDhg2jjo4Ox40bV6wi+e/k5uYyLCyMPj4+tLOzo66uLvv27cvNmzczODiYhoaG/O233yq0RU75yB3fN0JSUhJ9fHyop6fHYcOGlfvHVVlcvHiRJiYmfPXqlUjn79q1i3369BFZvqenJwMDA0mSQUFB7Nevn0R2fkIoFPKnn35izZo1+WzJElJdXTSHp6DADEVF7p0woUjWhw8f6O/vT319fY4cObJYO7XS9N68eZMrVqygs7Mzq1atylatWnHevHm8fPlyUWrs9evXXLRoEc3NzdmyZUvu2LGD2dnZJeRdu3aNDQwNmaKvz2xRHbeyMqmvT5ZSiFJQUMCQkBA6OjrS3Nycy5cv/0ek1MnCAqHRo0dTT0+PM2fOZFJSkkjjEhMTWaVKFTo6OjI7O5tWVlY8fvw4R40axaVLl5IkmzZtymvXrpUYm52dzZo1azIyMrJCPR06dODhw4dLPZaUlEQ/Pz8aGxvT2dmZp0+frnCuNSkpiTt27OCgQYNoYGDA2rVrU1tbm/379y8xjyxHdOSO7xvj/fv3RZP7ffv2LZoP+1IEBATwu+++E6kS7dWrV9TT0xO50KJFixZFqZ5WrVrx5MmTEtuZn5/PcePG0cbGhi8/RT5hYUzW12e2khIF/+uZWcJZqKuTDg5MPHeOZmZm3LFjBxcvXkxDQ0MOHTpUoorG7OxsXrhwgbNmzWKzZs2opaXFbt268eeff+a9e/eYn5/PY8eOFS2J8PLyKl4in5vLrIYNmSNu1KqoWLj29H/zSunp6Vy7di3r1KlDBwcH7tu37x9TUXj//n0OHTqU+vr6nDdvHlNSUsQa37lzZ2pra/Pdu3fcsGEDO3bsyKysLOrq6hZFi0ZGRmW+tG3dupXff/99hendTZs2VfhClp2dze3bt9PW1pZWVlYMCgoSyYkJBAJev36ds2bNopaWFpWVldmxY0euXr2a9+7d+0eknv8tyB3fN0pGRgbXrFlDMzMzOjk5fbGeiAKBgE5OTpw1a5ZI51tZWTE2NrbC89LT06mpqcns7Gzev3+fJiYmEj+U09PT2bVrVzo5ORVbP5eamkp9fX3O7tSJx9TVmaepWejsVFQKo6Px48n/FU1kZmZy+vTpVFBQYIcOHcSaq6yI5ORk7tu3jyNHjqS5uTnNzMw4YsQI7tmzh9euXaO3tzcNDQ3p7OzMo0ePsmDbtsL5PEnmKFVV+XHcOHp7e1NfX59ubm68evXqP+YhevPmTfbv35+GhoYMDAyUKPI8ceIEFRQUGBYWxtTUVBoZGTEuLo6HDh1ihw4dSBamGFVUVMos0MrPz2fDhg0rbJTwaR46LS2t3PPIwsg/PDycvXr1ooGBAX18fERuXJ+Tk8NBgwbR0tKSgwcPprm5Oc3NzTl69GgeOnToHxOh/1ORO75vnJycHG7ZsoV169ZlmzZteOLEiUp/qL19+5ZmZmY8ceJEhedOmDCBy5cvr/C833//nd999x1JctasWfTy8pLItqSkJDZv3pw//vhjiWq74cOHU1NTkz/++GOZ5ePZ2dlcs2YNq1evzr59+3Ljxo00MjKqtNSyUChkfHw8161bxx49elBbW5t2dnacPn06fXx82LJlSz5UVpZqScZHgDMmTSq3MORLc/36dfbs2ZMmJiZcvny5SGvfSuPNmzesWrVq0dpPLy8vjho1iiTZs2fPorWkf/31F01NTcuVdeTIEdra2laYoejSpQt3794tlp0JCQmcNm0adXV12b9/f/7xxx8V/p0KhUIuXbqUpqamvHbtGu/fv8/Vq1fTxcWFVatWZdu2bRkQEMBr165JvXzlW0Pu+P4jFBQUcP/+/bS1taWNjQ337t1bqd1grly5QiMjIz579qzc8w4fPkxXV9cK5fn6+nLu3LlFa/dK65JSEffu3aOFhQUXLlxY7KGSmZnJMWPGUFFRkZs2bSp1bE5ODjds2EBTU1P26NGDN27cKDr222+/0cLCQuT5JmnIy8tjREQE/fz82KZNG36nrs4sRUWpHJ+walVyz55Kt10UIiIi6OLiQjMzM65bt06qtmp5eXl0cHCguro63717x4SEBOrr6zMpKakoMvv0gnP16tUKt7USCoVs2bJlhU5t586d7NGjh0Q2f/z4kWvWrGHt2rXp4ODAPXv2VLhcJCQkhAYGBjx48GDRZ1lZWTx79iw9PT1pbW1NAwMDuru787fffvsi39N/OnLH9x9DKBTy5MmTbNu2LevWrctNmzYxJyenUnQtW7aMrVq1KrfbTEpKCqtVq1ZhRxpHR0eeOXOGZ86cob29vdi2hIeH08jIqERF3NWrV1m3bl02adKE7u7uJcbl5eVx06ZNNDc3p6ura7EOIJ+zcOFCNmvWTOLIRFKy586lQErHR4D8rBvOl+ZTB5T27dvT0tJSZt/JyZMn09TUlPPmzSNJurm5FSuO6t+/f9G5Bw4cKNYRqCzCwsJYu3btcr+vHz9+pJaWllQL+gsKCnj06FH+8MMPNDU15aJFi0qs8fuc2NhY1qxZk4GBgaVGis+fP+fmzZvp5uZGbR1tNrJvxCk+U3juwrkv2g1KKBTy1utbPJtwlsfij/HyX5f5IfvLL86XO77/MJcvX6aLiwtNTU25atUqmVeJCQQCdu/endOnTy/3vKZNmzIiIqLM4zk5OdTU1GRaWhoHDhzI9evXi2XH7t27i9a7fSI7O5szZ86kiYkJd+7cSX19/WIFI/n5+dy+fTstLS3ZqVMn/vHHH+XqEAqFHDVqFLt06fJlC0ImTpTe6QFk27Zfzub/8eklrHXr1mzQoAF37twps3u3bds2WlhYUF9fnx8+fOCVK1dYs2bNogiybdu2PH78eNH5q1ev5qRJk0SS7eLiUuF3sHfv3hK15CuNuLg4jhgxgjo6Ohw9enSZnYpevXpFe3t7DhkypET1r1Ao5PnH5+m8y5lK/kpU9lemkp8S4QcqjlWkvYc9165fK3ZfUVFJy0njhmsbaLHagpqLNKm9RLvop0pgFQ45MoQ3km5ULEhGyB2fHP7555/s168fDQ0N6e/vL5O1cZ949+4dLSwseOTIkTLP8fLy4sKFC8s8fuXKFTZv3pypqanU0tISuaJPKBRyyZIlNDc3L9a66vr167S2tmbfvn359u1bzp8/nyNGjCBZ+KYdHBzMevXq8fvvvxerD2leXh5dXFw4evToL1ccIivH167dl7GXhS9ER44cYbNmzdikSRPu379fpmn3qKgoGhoa0tXVlYsXL6ZAIGCLFi0YHBxMsnBJhIGBQbEUopeXF5csWSKS/NjYWJqYmJQb3e/fv59OTk7SXcjfeP36Nf39/WliYsLOnTvz5MmTJebuMjMz2a9fP7Zp06aoS1D403CarTJj1cVVy27A7V+FqvNUqd1WW+y+ohURGh9KzUWa1FykWaZ+JX8laizSYJfgLiJ1yZEWueOTU0R8fDxHjBhRtEZKnP6R5REdHU1DQ8My3yZPnTrF77//vszxixcv5vTp07lx40a6ubmJpDM/P59jx46lra1t0XKF3Nxc+vr60tDQkHv27KFQKOT79++pr6/PR48e8cCBA7S2tmbr1q15/vx5iZxXWloamzZtWpRSqww+fPjACxcu8KeffuLuRo2YJwvH17dvpdn7iYKCAu7Zs4eNGjWivb09jx49KvOii6SkJJqZmfHnn3+msbEx09PTGRwczBYtWhTpWrhwISdOnFhsnLu7O3fu3CmyHnd3dwYEBJR5PCMjg9ra2mL3sBWFnJwc7tixg02bNmX9+vW5fv36Yg5KIBBw3rx5tLCw4KrTq6geqC5yM26NQA1OPzhd7L6iZbEjbodY+qsEVqFNkA0zcit3jaLc8ckpwbNnz4q6YowfP14m1X5r165ls2bNSl2A/WmpQlmNt11cXBgSEsLWrVsXS0+VRXp6Ort06UJnZ+ei5Qo3b96kra0tu3btWmytlq+vLzt16kQbGxu2aNFCJnsgJiYm0sLCQqwHaVlkZmYyIiKCa9as4eDBg1m/fn1WrVqV7dq147Rp03hyyRIKpNxhIg2gd506DAwM5J07d2Qerebl5XH79u2sV68e27ZtyzNnzlRKRJybm8s2bdrQ39+fvXr14qpVq5iZmcmaNWsWpdKFQiHr169fYjG6o6MjL1y4ILKuR48eUV9fv9x5N3d3d/7yyy+SXYwIfOry06dPH+rp6dHLy6tY5ybfzb7EXPG3X9JYpMGdNwu/u+L0Ff074U/DxXJ6nzu/Tjs7VWrWRO745JTJmzdvOGfOHOrr63PIkCFS7YIgFArp5ubG8ePHl3q8bdu2pbY7KygooLa2NiMjI2lsbFxhhVtSUhKbNWvGkSNHMi8vj/n5+QwMDKSBgQG3bdtW9MckFAq5d+9eKikpsWHDhjx27JhM/9Du3btHIyOjYvOKFZGbm8uYmBgGBQVx5MiRtLGxoYaGBu3t7Tl+/Hhu27aNt27dKjkPZmsrXVWnri4vnj3LKVOm0NzcnHXq1KGnpycvXbokVQoyJyeHQUFBtLCwYMeOHRkWFlapD7MxY8awV69ejI6OZo0aNZiVlcWAgIBiC8qvXbvGunXrlrCjTp06ZTa2LosJEybQ09OzzOOhoaF0dHQU7yIk5MmTJ/T09KSenh7d3NwK5zRX1ZR4w12NRRqlRl2i9BX9hE2QjcT6NRdpMuJZ2fP+0qJAkl97F3g5/2w+fvyIoKAgrFmzBq1atcKcOXPg4OAgkRx7e3ssXLgQ7u7uxY7Nnz8f+fn5WLJkSbHPY2Nj4eHhgZ49eyIvLw8rVqwoU/69e/fQtWtXjBw5EnPnzkV8fDyGDRsGHR0dbNmyBebm5iCJc+fOYf78+Xjy5AlsbW1x9uxZKCoqin09FXH58mW4ubnhwoULaNKkSbFjAoEA8fHxuH79Oq5fv46YmBjcuXMHtWvXRosWLYp+mjRpAjU1tfIV7dsHjBoFZGaKbWOuggIyxo+H/oYNAACSuHnzJkJDQ3H06FG8fPkS3bp1Q8+ePeHk5AQNDY0KZWZlZWHz5s1Yvnw5bG1t4evri9atW4ttmzhs3LgRa9euRVRUFAYMGIBu3bqhd+/eaNy4Ma5fv47atWsDAKZOnQo9PT34+fkVjSUJDQ0NJCcno2rVqiLrfP36NRo1aoQbN27A3Ny8xPHc3FxUr14dt2/fhqmpqfQXKQLp6en47bff8NO+n/C6w2sIlYUSyamqWhWrnVdjVLNRZZ6Tl5eHP/74A2fPnsWZM2fw7NkzdOjQAc7OzqjZoib6nuqLrPwsifQrQAE9G/REyMAQicZXKF/u+OSISlZWFrZt24bly5ejXr16mDNnDn744QcoKCiILCMuLg6dO3fGlStXYGVlVfR5eHg4fHx8EB0dXez8n3/+GXfv3sWpU6dw+vTpEg7kE5cuXUL//v2xfPlyDB48GGvWrMGSJUsQGBiIsWPHQkFBAWFhYZg/fz5SUlLg5eUFHx8fxMTEwMLCQqL7IQr79u2Dt7c3du/ejVevXhU5uhs3bqB69eqwt7cvcnJNmzaFpqam+EoKCoAffgCuXwdyc0UfBiBTVxd2AOYsXYpRo0aV+F0+e/YMx44dQ2hoKK5du4YffvgBPXv2RLdu3WBkZFTs3PT0dPzyyy9YvXo12rZti7lz56JZs2biX4+YREREoE+fPrh69SqSk5Ph7u6Ohw8fYuLEidDT08OyZcsAAPn5+TAzM8PVq1dRt27dovHv37+HpaUlPn78KLZuX19fJCYmYtu2baUeHzFiBGxtbTFt2jTJLk5CXINdcfbxWRCSP97r6tbFw8kPRf77fv36NX7//XecPXsWhwWHkdsgF5DifVJNSQ3Ppz+HkaZRxSeLidzxyRGb/Px87NmzB0uWLIG2tjbmzJmD7t27ixw1bdq0CevWrUN0dHRRBJGbmwsDAwO8ePECOjo6Ref27dsX9erVw/nz5xETE1OqvD179mDatGnYu3cvatWqheHDh0NJSQnbt29H7dq1ERERgfnz5+PFixfw8/ODu7s75s+fj+TkZGzatEn6G/IZJIscXExMDK5fv46IiAgUFBTAxcUFrVu3RosWLdC8eXPo6urKTnFaGuDoCDx8CGRnV2ynigpSlZQwrWVLTFu1CiNHjoS5uTk2b95cwqF9IjU1FadOnUJoaCh+//13NG7cGL169UL79u1x6tQprFu3Dp07d8acOXPQuHFj2V1bObx8+RIODg7YunUrXF1d0bFjRwwaNAj29vZwcnLCgwcPir5Pp06dQkBAACIjI4vJuH37NgYMGIB79+6Jrf/jx4+oV68ewsPDYW1tXeL42bNn4efnh6ioKMkuUAKEFEI1QBUCCqSSo66sjvhJ8TDXLhnNVoTpKlMkpidKpV9LTQu7eu9CjwY9pJJTGnLHJ0diBAIBjh49isWLFyM3NxezZ8/GgAEDoKysXO44kvDw8ICqqmqxN+XOnTtj8uTJ6NG9OyAQgEpKMDY2Rtu2bdGxY0dMmjSphJylS5ciKCgIx48fx+XLl7FgwQL4+vpiypQpuH79OubPn4+HDx9i/vz58PDwgLKyMt69e4f69esjNjYWtWrVkuoepKSkFEtXXr9+HQKBoCiKs7e3h729PQIDAxEfH49Tp05BVVVVKp1lkp0N/PgjcPRo4exdadGfigqgrAw4OKBg714MmjoVmZmZ2Lt3LxYvXoydO3di8+bN6Nq1a7mqcnNzERISgmXLliEuLg5aWloYMGAAfvzxR7Ro0aJSUsd/JycnB46OjujTpw9mzZqFsLAwjB49Gvfu3YOrqyv69u2LCRMmFJ0/aNAgtGvXrthnAHDmzBmsXLkS586dk8iOlStXIiIiAiEhJdNy+fn5MDU1RXR0NCwtLSWSLy4fcz7CaIUR8gR5UslRoxo8hB4woQmEQmHRD8lS//35/7cZb0O+Yr5U+jVVNLGhywYMsxsmlZzSkDs+OVLzad5s8eLFeP78Oby9vTF8+HBUqVKlzDEZGRlo0aIFvL29MWLECOD5c0QOGYIm16+jan4+IBRCqKyMuwBWKitj5ePH0K9evWh8QUEBJk6ciGvXrmHjxo2YPXs2srKy8NtvvyEjIwN+fn64desWfH19MXz48GLOZs6cOXj37h02btwo1nV+/PgRsbGxxRxdamoqmjdvXszRmZubl0gPCQQC9O3bF1paWtixY4dY6WGxSUwEfv0VWL++cN5PRaUwHaqsDAwbBkydCtSvD6Dwwezu7o7c3FwcOnQI0dHRGDp0KFxcXLBy5cpSU69JSUlYsWIFtm/fjgEDBmDmzJlITk5GaGgoQkNDkZqaiu7du6NXr17o0KFDxXOUEkASI0aMQFZWFvbv3w8A+O677zBu3Djo6OjA29sbt27dKnoJS09PR82aNZGQkAADA4NisrZu3YqIiAhs375dIltycnJQv3597N+/v9S5zPHjx6NWrVqYNWuWRPLFJTU7FSYrTWTi+IYpDIOZohkUFRWhqKgIBQWFUv/99//PeDsDWZRsfu8T1VSrYWO3jXBv4l7xyWIid3xyZMoff/yBJUuW4M8//8T06dMxbtyYZlCoAAAgAElEQVQ4VKtWrdRz7969i/6OjoiyskK12FgIBQIo5pd8S8xSVoaGpiawYAEwdSoyMjMxYMAAFBQUoHv37vD398eMGTPg5OSEgIAAXLt2DXPmzMGoUaNKPHRTUlLQoEGDMgsSPpGdnY0bN24URXHXr1/Hy5cvYWtrW6z4pG7duiJHN1lZWejQoQM6deqEwMBAkcZIhVBYmAJNSwM0NQEdHUBJqcRp+fn5GDBgAAQCAQ4ePIjs7GxMnjwZUVFRCA4OLipkev78OZYtW4Y9e/Zg6NChmDlzZqlFG48ePSpygrdv30bnzp3Rs2dPdO3aVWbp3XXr1mHz5s2IjIyEpqYmzpw5A09PT8TGxsLOzg6rV6+Gq6tr0fk7duzA4cOHcezYsRKyFi5ciLy8PKl+J9u2bcOOHTsQHh5e4qXm0qVLmDp1KuLi4iSWLw5CCqESoAIhJSts+YSGigZuj7+N2rq1xR5bb109JLxPkEq/lpoWDvc/jE61O0klpzTkjk9OpXDz5k389NNPOH/+PCZMmIApU6ZAX1+/+EkJCchu3hzKaWlQEUWohgYye/WC4/37aGBlhdTUVLx58wZ+fn7YvXs3rly5Ah8fH4wdOxbq6uqlipg9ezY+fPiAoKCgos/y8/Nx+/btYpHcw4cPYW1tXRTFtWjRAtbW1hWmcSsiOTkZrVu3hre3N8aMGSOVLFmSl5eH/v37Q0FBAQcOHICKigoOHjyISZMmwd3dHWlpaQgNDcXo0aMxffp0GBsbiyT37du3OHHiBEJDQxEWFoYWLVqgZ8+e6Nmzp8Rp5vDwcAwYMACRkZGoXbs2SMLBwQHeXl5QCw9HzQMHYEdCISsLUFMDTEywHoDp7NnoPXx4CXljx46FnZ0dxo8fL5E9QGEGwsbGBitXrizmcIHCaN/c3BwXLlwoVtBVmbTb1g5XX1yVSkaNajXwYvoLKCqIn7ZefGUxAi8HIrug4vnmstBS00LyzGSoKsl+akDu+ORUKo8ePcKyZctw+PBhjBgxAp6enoVRQnIyYGsLvHlTGJmISJaCAs7Ur49x799j4MCBSE5OxsWLFzFjxgxMnDix3KrI5ORkWFlZYf/+/cUqLO/cuQNLS8ti6UobG5tyU7XS8OjRIzg6OmLr1q3o0qVLpeiQhLy8PLi5uUFFRQX79u1DQkICfH19cfz4cRgZGSEkJAQtWrSQWH5mZibOnTuH0NBQnDhxAmZmZkVO0M7OTqT077Nnz9CqVSvs2rULnToVRgKhoaGInTgRfnl5yExORmn5hUwAGlWqQMHdHVi7Fvhs2UK3bt0wZswY9OghXRFFSEgI/P39ERsbWyILMH36dOjo6BRbRlGZHHtwDEOODEF6XrpE4zVUNLCw/ULMaDNDovHJmckwX2OOnIIcicarKalhasupWNp5qUTjK0Lu+OR8EV6+fIlVq1bht99+g5ubG1akpEDrxAmglNRmRWQrKMDL0REH7t7FtGnTMGXKlFLTqSTx5MmToihu//79ePPmDczNzYulK5s2bSrW+i1ZEBUVhe7du+PMmTNo3rz5F9VdHrm5uejcuTOePHmC/Px8TJ06FePHj8fOnTsREBCAn376CSNHjpR6jrKgoAB//PFHUUo0Pz+/yAk6OjpCRaVkDiArKwvt2rXDkCFD4OnpCQAQCgTYa2yMARkZUBZlKYeaGmBhAVy+DPyverVp06bYsmWL1L8HkmjdujWmTJmCQYMGFTsWFRWFESNG4N69e5U7v/s/BEIBTFaaICUrRaLxVZSrINEzEbrqkqem3Q64IfRBKAqEBRLpfzjpIWpq15RYf3nIHZ+cL0pKSgo2LV+O6cuWofRkZMXkA7jVrBnqXrwIbW3tos8/j+JiYmIQExMDDQ0N2Nvbw9raGuvWrcPVq1fLXAv4pQkJCcGkSZMQERHxxSr+yuPatWsIDAxETEwMtLW1YW1tjf379xeld+/evYshQ4ZUuOxBXEji7t27RU4wISEBXbp0Qc+ePeHi4oJq1aqBJIYMGQIFBQXs2rWryHnc7dsXtY8ehboYWQOoqAD16gHXrgGamjAyMsKtW7dgYmIi9bWEh4dj5MiRuH//frGCKpKwtLREaGgobG1tpdYjCofvHYZHiIfY6UYNFQ3Md5wPn3Y+Uul/nfEatr/aIjkzWaz1hBoqGgj8IRDTW0+XSn95VH7NsRw5n2FgYIA5ZmaoIkIHkLJQAdDs/n1cu3gRAQEB6NGjB2rUqAE7Ozts2rQJSkpKmDRpEu7cuYMXL14gJCQE+fn58PDw+Mc4PQDo3bs3Zs2aBVdXV7x///6r2XHlyhU4OzvDzc0Nzs7OePLkCW7cuIGsrCx4eHigoKDwjb1Ro0aIiopCw4YNYWdnh5MnT8pEv4KCAho3boy5c+fi2rVruH37Ntq2bYutW7fC1NQUrq6u6NevH27fvo3NmzcXOT1BbCxqh4SI5/SAwizDkyfAwoXIzc3Fhw8fZObE27dvj/r162Pz5s0lrnHgwIHYt2+fTPSIQl/rvljccTE0VET/W9NQ0cAIuxHwbusttX6Tqia4PPwyDDQMoKwg2ty4hooGprWcVqlOD5BHfHK+BnZ2wM2bUolIA7CyUSPkdO1aVHxSq1atUtNIb9++hZWVFW7dugUzMzOp9FYGXl5eiI6Oxrlz5yptXvHvkMSFCxcQEBCAV69eYfbs2UVrKz+Rk5ODnj17wsDAADt37oTSZxWhly9frnDZgyxIS0vD0qVLsWrVKqiqqsLKygq9evVCz549oTZmDGpdvQqJy420tPDX9etw7NQJz58/l5nNN27cQJcuXfDo0aNiKfS4uDj07t0bT548+SLpzk+sPLsSXpe9oKmhicyC0tvaaahoQEghFny/AN5tvWVqX1J6EkaEjkD4X+EAgFxByZR0VdWq0FDRwPJOyzHUbqjMdJdJpXUBlSOnLExNpd5GR6iuTgYFiaTOy8urxDY0/yQEAgH79+/P/v37l75Nj1BIfvxIJiaSGRmF/5cQoVDI48ePs2XLlrSysuKuXbvK3fw1KyuLnTp1ooeHR4mG1R8+fKCHhwfr16/P6OhoiW0qj8ePH9PIyIjh4eHMzc3luXPnOHHiRFpVr84sKb9DrFaN8QsWsFWrVjK3u7Rti4RCIRs0aMCoqCiZ6ysLoVDI9u3bc/ma5dwWu43119VnlcAq1FqiRa0lWlQPVGeNlTW46o9VTM1OrVRbXnx8wdnnZ9N4uTFVA1Sp6K9IzUWabL+9PU89PEWBULZbVJWH3PHJ+fIYG0vt+ApUVPjCx4cfPnwoV9Xr16+pp6dXtCffP5Xs7Gx+9913nDFjxv9/+OgROWkSqalJqqiQ6uqkkhJpZEQuXkxWsC3M5wgEAh46dIh2dna0tbXlwYMHRd55ITMzkx06dOCwYcNKHXPgwAEaGRnR399fprvPp6ens0mTJly3bl2JYxdGjmSGoqLU36PXjRqxbyXsRZiQkFDqtkV+fn6cPn26zPWVxc6dO9msWbNiv7eXH18yLimOsYmxfJr69Is6nM/5Yps1l4I81Snni8MGDaDw8KFUMrKUlLCwenWsT02FqqoqLC0tS/0JCgoCSaxdu1ZG1lce79+/R9u2beHp4YHR588DkZGAQFB65au6euEykCFDgF9+Acpog1ZQUID9+/dj8eLF0NTUxLx589CtWzexU1mZmZno1q0bLC0tsWXLlhLl+q9evcLw4cORkZGBXbt2FWsC/Xc+fgR27gTOnAHevy80vVatwm5r338PKCgUpmL79++PatWqYevWrcXszc3NxXITE8zJyIBigfgVg5/z3tAQ/u7u+Pnnn6WSUxoTJ05ElSpVsHLlyqLP7t+/j06dOuHFixeV3tbt/fv3aNSoEY4fPw57e/tK1fWv46u5XDn/KVJTU3nw4EH++OOP/FVTk7lSvqnnKyvz7Z9/UigU8u3bt4yOjua+ffu4ZMkSjhkzhp07d6aFhQUB0MjIiG3atOHgwYPp6+vLrVu38uLFi3z69KlMIxRZ8PzKFSYpKrJASUm0e6GuTrZqRf5tE9/c3Fxu3bqVdevWZbt27Xj27Fmp37AzMjLo6OjIUaNGlZqSFQgEXLNmDQ0MDLh58+YS+hISyKFDC03W0Ch+GQoKZNWqZM2a5Lp1ZEDAEjo4OJS6cfH69eu5vX59ChQUpI74UrS1uXTpUqnuS1kkJSVRT0+Pz549K/a5jY0NL126VCk6P2f06NGcNGlSpev5NyKP+ORUCkKhEDdv3sTp06dx+vRp3Lx5E+3atYOLiwu6N24Mi65doZAj2eJWArhbvTraZWWhdevWGDJkCHr16lWiwMLT0xMFBQWYOXMmnj59WurP27dvYWpqWixKrF27dtG/jYyMvlwhwocPgJ0dhC9eQFGcSsUqVQpDpVOnkJOXh23btmHp0qVo0KABfH194ejoKDMTMzIy4OrqCmtrawQFBZUatZS27OHSJaB7dyArqzCILQ81tQKQ13HrVi00aFCj2LHs7GzUrVsXv/fpA8v16yF5bXAhT3V08Mf69Rg8eLCUkkrH19cXr169KtYHdMmSJXjx4gV++eWXStEJFLYO7NevH+7du1dsyY+c//G1Pa+cb4d3795x3759HDZsGE1MTFi/fn1OnTqVp0+fZlZWVtF5J0+eZFSVKpK/qVetSv7+OzMyMrh79266urpSW1ubHh4e/P3331lQUMCkpCTq6uoyMTGxXJtzcnL44MEDnjlzhkFBQfT29ma/fv1ob29PfX19amho0Nraml27duWkSZO4cuVKHjlyhDdu3KhwflFsvL1JNTXJin00NRk6YgRr1KjBbt26MTIyUra2fUZaWhrbtm3LcePGlRlF5uTk0MfHh9WrV+fKlRElIryKflRVBWzViszNLS535cqV7N27N+f17MlcZWXpIj41Ne4yM2NYWFil3asPHz7Q0NCQd+7cKfrs8ePHNDQ0rLRsQ15eHhs3bsz9+/dXivxvAXnEJ0dihEIhYmNji6K6O3fu4Pvvv4eLiwtcXV2Ldr3+REJCAqZNm4aHDx9i26RJaDd7dmEIIA5VqgAtWgDh4cBn0cabN2+wb98+7Nq1C4mJiahevTqsrKwQHBwsVcSWnp5eZrT49OnTcucXLSwsRF+ekJcHGBoWNpSWkAd6esg6fx5NmzaVWIaopKWlwcXFBU2bNsX69evLvMdnz15Bly5NIBTqlHq8PNTVgQkTgBUrCv+fkZGBOnXqYN26dZg6dSpe6utD6e5dyS9CTQ3tjI2x/fx51KtXT3I5FbBy5UpcuXIFR48eLfqsZcuWCAgIgJOTk8z1LV++HBcuXMDp06e/6LKJfxNyxydHLFJSUvD777/j9OnTOHv2LPT19eHq6gpXV1d89913pT7oMzIysGjRImzevBne3t6YNm0aVFVVsaJ9e0y4dEn0dFWVKkDt2kBUFFDGjg9A4RozZ2dn6OvrQ1dXF0OGDMHgwYNlvoaPJFJSUsp0is+fP4e+vn6pKVRLS0uYmZn9/9q4ffuA0aOBjAzJDapSBbh1q7AryRcgLS0NTk5OcHBwwM8//1zqQ3b7dmDyZCIzU7IHsKZmYVtXdXVg8eLFuHXrFt68eYOBAwdibLVqwNixEt8zduoEjYgIvHv3rmhD5MqgtG2LVq9ejTt37mDr1q0y1fXs2TM0b94c0dHRqFOnjkxlf1N81XhTzj+egoICRkVF0c/Pjw4ODtTS0mKPHj0YFBTEp0+fljtWKBRy9+7dNDU15ZAhQ/jq1auiYxMnTqSioiKvr1xJamsXpi/LSkkpKRVWQzg5Fa5jq4CpU6dy2rRpFAgEvHz5MkePHk09PT3+8MMP3LZtGz9+/CjtbRGJgoICPnv2jOHh4dy+fTvnz59PDw8PtmvXjqamplRVVWXt2rXZsWNHxtWsKXWhBlVVyRUrvsi1feLDhw90cHDg1KlTS017Nmgg3SVVrUpu315YHGVgYMANGzawUaNGhWnC3NxCBSoq4gvW0GDqhQvU0dH5Ivdp69atdHR0LLpHL1++pJ6eHnNycmSmQygUslu3bgwMDJSZzG8VueOTU4I3b95w586ddHd3p76+Phs1akQvLy9euHBB5D/UGzdusF27dmzatCkjIiKKHfP19aWioiIPHjxY+EFODhkcTDZpQqqrM01JifmamoUOUV2dHD6cvHlTJL2vXr2inp4ek5KSin2enZ3NQ4cOsWfPntTS0mL//v15/Phx5uXliSS3Mvh8fvFNrVrSOz6gcJ7wC5Oamkp7e3tOnz69mPO7ebNwCaK0l2RjQ86fP59DhgxhvXr1eObMmf9XnpREVq8unvNTVydDQnjz5k02atToi9yj/Px8NmzYkKdOnSr67LvvvuOxY8dkpuPIkSNs2LAhc/8+MSqnBHLHJ4cFBQW8evUqfX19aW9vT21tbfbu3ZubNm0qUYpdESkpKRw/fjyNjIy4cePGEgueV6xYQQUFBW7evLl0AQkJ9LCw4JNffyWjows7lojB5MmT6enpWaGNQUFBbNOmDQ0NDTlp0iRGRUV91QW1bN5cNo7Py+urmP/+/Xs2a9aMXl5eRfcxJITU0pL+krS1BdTX16evry9dXFxKKn/9uvClqbysAVDohf9XGEWSp06dopOT0xe7R0eOHKGtrW3RUpANGzZw0KBBMpGdlpbGmjVrMjw8XCbyvnXkju8/SlJSErdv387+/ftTT0+PNjY29PHxYVhYmERvjAUFBdywYQMNDQ05ceJEvnv3rsQ5W7ZsoaKiIpctW1aurBo1avD58+di2/Dy5Uvq6ury9evXIo9JSEigv78/69Wrx3r16tHf35+PHz8WW7fUuLhI7yFUVMhKWpMmCu/evaOdnR29vb0pFAoZHExWqyb9ZSkr53Ho0KElqiOLIRCQZ8+SHTsWVsZqaxcq19IqdHgWFuSGDWRaWtGQzZs3c8SIEV/o7hSmIlu2bMng4GCShZkVbW1tZv5tDaYkTJ8+ncOHD5dazn8FueP7j5Cfn8/Lly9z9uzZbNq0KXV0dOjm5sYtW7ZI3c7r0qVLtLW15ffff8+bZaQkDx06REVFRc6aNatCeRoaGkxPTxfbjkmTJhVv+SUGQqGQUVFRnDRpEg0NDdmmTRsGBQUxJSVFInlis2WL9HlBDQ2RU8KVRUpKCm1tbTl79myGhgqprS2941NQeMeRI0dy/Pjxohnx4gV56hS5dy8ZGkr++Wep/U0XLFhAX19fGd+B8gkLC6OlpWXRy2Xnzp154MABqWTGxsbSyMiIb9++lYWJ/wnkjq+SeZyVxakPH7JOZCQNIyJoHBFB6+hoLv3rL6ZU8vzSy5cvuWXLFrq5uVFHR4dNmzbl7NmzefnyZZnMbb148YLu7u40MzPjvn37ykwV/v7771RSUuLYsWMrlJmbm0tlZWWx044vXrygrq4u37x5I9a40sjLy+Px48c5YMAAamlpsVevXjx06FCpXURkRmam9I7P1rby7BOD5ORkNmnShBMmrKK6ulBqx2do+ID6+voy+d1+zujRoxkkYqNzWeLi4lLUf3Tr1q3s06ePxLIKCgro4ODALVu2yMq8/wRyx1dJ/JmWxu9iY1nl0iWqhIcTYWHFftQvXWKVS5fY/84dJsqosisvL49hYWH08fGhjY0NdXV12b9/f27fvr3ChdzikJOTw8WLF1NfX59z585lRjmVlpGRkVRWVma/fv1Ekv369WsaGBiIbdPEiRPpVQnzWx8+fOC2bdv4ww8/UE9Pj6NHj+alS5dK30VBWiZMkKxC8dP81Z49srdJQt6+fcvGjRvT1PSFlI4vjXZ2CyqlrViXLl1kWlwiKrGxsTQxMWF6ejrfv39PLS0tiSuNf/nlF7Zr165yvo/fMHLHVwmcSEmhxqVLJZxdaT/KYWE0jIjgPRHK9Evj+fPn3LRpE3v37k1tbW02b96cvr6+vHr1aqV0hjh+/Djr1KnDHj16MCEhodxzb9++TVVVVXbu3FnkCC4+Pp716tUTy6bnz59TT09P5hFBaXp++uknNmrUiLVq1eKcOXN4//592SlISiINDAobV4rjHVRVSXv7km1OvjJv3ryhmdlkqqrmSOz4VFXTWKtWnUqJtm1tbfnnn3/KXK4ouLu7c+HChSTJ7t27c9euXWLLSEpKooGBQdnznnLKRL6AXcZc+fABLrduIUuMXosKAPSUlRFnbw+zCjp95ObmIiIiAmfOnMHp06fx+vVrODk5wdXVFc7OzjLbSfrvPHz4ENOnT0dCQgJ+/vlnuLi4lHv+48eP0aRJEzRp0gSRkZEid6KPiorC1KlTER0dLbJtEyZMQLVq1bB06VKRx0gDSdy8eRPBwcHYs2cPatSoAQ8PDwwcOBDGxsbSCb97F2jXrrCDiyjfITU1wNwciI4GdHWl010JvHr1BhYWBRAIqoMUdzeCTBgbb8DatRbo37+/zG0zNDTEnTt3pP+dScDjx4/RsmVLxMfH4+zZs9i7dy9OnDghloxBgwahVq1aWLJkSSVZ+e0id3wyJE8ohPEff+CDBFulKCsooLWWFi6X0m7qr7/+KnJ04eHhsLKyKuqWYm9vX2xnbFmTnp6OwMBAbN26FbNmzcKUKVOK7dJdGklJSWjQoAFq1qyJuLg4qKioiKzv9OnTWLNmDc6ePSvS+S9evICdnR3i4+NhaGgosh5ZIRAIcPHiRQQHByM0NBRt2rQpapotcTeQp0+BLl2AFy8KW7qV9ieqrAyoqACOjsDBg+V2svnaREcno00bNZBVRXZ+Skq5MDaORq1as3H1aoTMW2/l5uZCS0sL2dnZlb49UFlMnDgRampq8Pf3h5mZGZ4+fQo9PT2Rxp47dw5jxozB3bt3K7XrzLfK1/mNf6McSU6GQML3iAIS19PT8Tg7Gzk5OTh37hw8PT3RsGFDODg44OrVqxgwYAASEhIQHR2NBQsWoGXLlpXm9EgiODgYVlZWeP36NW7fvg0vL68Knd779+/RpEkT6OnpISYmRiynBwAfPnyArhiRy+LFizF69Oiv4vQAQElJCZ07d8aOHTvw6tUrDBkyBLt27YKpqSmGDRuGc+fOQVDRdgR/x9ISuHcPOHsW6NGjMKqrVg3Q0gKqVi3s4zV6NHDjRuGmdv9gpwcALVsa4tKlHCgqpkBFpZS9Bf+GuroQSkr7IRQOwurVqyql32RiYiJMTEy+mtMDgHnz5mHHjh1ITU2Fk5MTjhw5ItK4nJwcTJgwARs2bJA7PQmRR3wypGlMDOKk6LWoJBSi5o0beOfvj8aNG8PV1RUuLi5o3rz5F/0DjY2NxeTJk5GTk4N169ahTZs2Io1LT0+HlZUVCgoK8PDhQ4m2Q/nll19w+/ZtBAUFVXjus2fP0KxZMzx48AAGBgZi66pMXr9+jX379iE4OBiJiYkYNGgQPDw8YGNjI/6DPC0NSEoCMjMLnZ+ZWWFfzn8Z9+4lwtHxN+TlTUFurgry8lRRmOgv9O0A8N13gFD4E4TC31GjRnXs3r27UmyJiIiAt7c3/vjjj0qRLyqfti3q1q0bgoKCcP78+QrH+Pn54e7duzh06NAXsPDbRO74ZMSznBxYXbuGHHH2USsFDaEQz21toa+vLyPLRCclJQW+vr44evQoAgIC8OOPP4ocUWZnZ6Nx48Z49+4dHj16JHEEtnjxYqSnp4s0bzFu3Djo6ur+4+c47t27h927dyM4OBhaWlrw8PDAoEGDZN40+9/Ay5cv0b59B+TlOaJVqxnQ02sIDY1CX96vH5CWdheOjo4gibi4OJibm1eKHfv378ehQ4dw8ODBSpEvKh8/fkS9evVw+vRpdOrUCfHx8eXOOT548ADt2rXDjRs3/pPfH1mh/LUN+FZIzM2FmoICJNta9f/JVlSEjoh5fllRUFCAjRs3wt/fHwMHDsT9+/fFSjfm5eWhZcuWeP36Ne7duydV2jE1NVWk8c+ePcPBgwfx4MEDiXV9KaytrbFo0SIEBAQgIiICu3btgo2NDZo2bYohQ4agb9++0NLS+tpmfhHMzMxw8eJ5WFpaolGjmvDz8yt2vF+/BbC0tISzs3OlOT0AePXqFUxNTStNvqhoa2vDx8cHAQEB6NatG/btO4JmzcYjObmwtklXF3BwKMxmk8SECRPg6+srd3pSInd8MiJXykjvE4ooLJJRr8SClc+5dOkSpkyZAj09PVy4cAFNmjQRa7xAIED79u3x8OFDxMbGolatWlLZk5qaKtLeaIsWLcLYsWP/cSnO8lBUVISjoyMcHR2xbt06nDx5Ert27cK0adPg6uoKDw8PODk5iT0v+m8jNzcX1atXx44dO6Cnp4fJkycDAOLi4hAWFgZlZWXMmjWrUm34pzg+oLDIZeXK/bCyWou9extDU7P48fx8YPBgoE6dE0hNTcXEiRO/jqHfEHLHJyO0lZUhq5xxlS8wn/fixQvMnDkTkZGRWLFiBdzc3MSeexIKhejSpQtiYmIQEREBa2trqe0Spbjlr7/+wuHDh/Hw4UOp9X0tqlSpgr59+6Jv37549+4dDhw4gMWLF2PEiBEYMGAAPDw80KJFi29yI9GoqCi0bdsWy5YtQ/v27aGoqIiJEydi3rx50NHRgY+PD6pVcsHOq1ev0Lx580rVIQoksHp1FaSk/IHwcAFItVL3Iv7tN6KgoCO6dGkNUv7YlhZ5VaeMaKChgQIZTJc20tSs1IddTk4OFi1aBDs7O9SvXx/3799Hv379xNZJEgMHDsTFixdx6tQpODg4yMS+1NTUCh3fokWLMH78+K8yD1oZ6OvrY/z48bh69SoiIyNhaGiIwYMHw8rKCgEBAXjy5MnXNlGmREVFoVWrVqhVqxYuXryI5cuXw9vbG5GRkVBXV8ePP/5Y6Tb8UyI+T08gMBDIz1cGqVbmeQUFCgA0EB5ugK5dAQlWTMn5DLnjkxEaSkrwMDaWKoSuqqQEn0qa1yCJY8eOoVGjRoiJiUFMTAwWLlwocTqDOFkAACAASURBVDn0mDFjEBISgr1796JTp04yszM1NRU6OjplHn/69CmOHDkCT09Pmen8J1GnTh3Mnz8fDx8+xM6dO/HmzRu0bNkS7dq1w6+//or3799/bROl5pPjAwBLS0tcvHgRa9euRW5uLlavXl2p61I/8U9wfEFBwKZNhUs1RSUrC7h6FZgwofLs+i8gd3wyZJqZGVSkSFMqAOhbCevRHjx4AFdXV/j4+CAoKAghISGwtLSUWN7MmTPx22+/ISgoCG5ubjK0tOJU56JFizBhwgSRF/r+W1FQUEDLli2xfv16JCYmwsfHB2FhYbC0tETv3r1x5MgR5Obmfm0zxSYrKwvx8fFo+lmjhlevXqFKlSooKCjAX3/9Vek2kERiYuJXdXx5ecCsWeI5vU9kZQG7dhX2N5AjGXLHJ0OsNDXhrKsLdQmcn4aiIhZYWEBNhvN7aWlpmDlzJtq2bQsnJyfcvHkTTk5OUskMDAzEmjVrsGjRIowaNUpGlv4/5aU6nzx5gqNHj2L69Oky1/tPRkVFBd27d8f+/fvx/PlzdO/eHevXr0eNGjUwduxYXLlyBUIZFVdVNn/++ScaN26MKv9bh0gSPj4+EAgECAkJgb+/P7Zt21apNrx79w4aGhpQV1evVD3lceRI6Q15RIUENmyQnT3/NeSOT8bssbaGlYaGWAUqmoqKcDcywnQZlSgLhULs3LkTVlZWSElJwZ07d+Dp6Vlh15WKWL9+Pfz9/TFjxgx4e3vLxNbPEQqFSEtLK3Ph+38l2isPbW1t/Pjjj7h48SLi4uJQu3ZtjB8/HnXq1IGvry/i4+O/tonl8nmaEwAuXLiA+/fvw8PDAy4uLrhw4QLmz5+PHTt2VJoN/4Q059KlQHq65ONzc4Fffy2MHOVIwJfvi/3tk1lQQKe4OKqeP09cuFD27gznzlH14kV6JySIvf9cWcTExLB169a0t7dnZGSkTGSS5M6dO6miosLRo0fLTObfSU1NpZaWVqnHEhISqK+vz/fv31ea/n8rQqGQN27coKenJ01MTGhvb881a9aItRP9l6JPnz7c87/tk4RCIW1sbFitWrVim6jGx8fT1NSUO3furBQbTp48SWdn50qRLQpCIamoKN0ehQBZtSp5795Xu4x/NfKIrxLQUFLCHjMzVPH3R3t1dagpKKCakhLUFRWhoagIrf/9u0NeHhqsWoWfateWupIzOTkZY8aMQdeuXTFy5EhER0cXe7OWhqNHj2LkyJHo0aMHNm7cKBOZpVFemjMwMBATJ04Ua2H9fwUFBQXY2dlh5cqVePnyJRYtWoQ///wTDRo0QJcuXbB3715kSTKZJGNIIjIysuh7eerUKTx9+hTz5s0r1rSgQYMGOHfuHGbNmlUpLcu+dsSXkQHIon5HSQlITZVezn+Sr+15v1V8fHw4atQokmRiTg73v3nDX1+94pbERB5NTmZ6fj4FAgFtbW155MgRifXk5+dz7dq1NDAw4NSpU5mamiqrSyBJnj9/nqqqquzYsSMLCgpkKvvvxMbG0raUXcQfPXpEfX19mV/bt05GRgaDg4Pp7OxMHR0dDhs2jOfOnav032NZPH/+nEZGRhQKhRQKhaxbty6NjY2ZU8ZGzHfv3mX16tWLIkRZ4efnx3nz5slUpjhkZ8sm4tPSIq9f/2qX8a9G7vgqgcTEROrp6fHFixcVnnvixAlaW1tL9DC6ePEiGzduzA4dOlTKZpSRkZFUU1Ojg4MDc7/AJqcXLlxg+/btS3w+bNgwLliwoNL1f8skJSVx9erVbNasGWvUqEEvLy/GxcV9URsOHDjAHj16FP1bXV2dBw8eLHfM7du3aWJiwn379snMjlGjRvHXX3+VmTxJUFeX3vFVqUI+f/5VL+Nfi9zxVQITJkygp6enSOcKhUK2bduWO3bsEFn+s2fP2K9fP9aqVYuHDh2S2fzg59y8eZMaGhps2LAhMzMzZS6/NA4dOsTevXsX++zhw4fyaE/G3L17l7Nnz6a5uTmbNGnCpUuXivSSJi55eeTNm2R4OHnlCjl8+E9ctGgxCwoKWKNGDVpbW4v03b116xZNTEx44MABmdjl6urK48ePy0SWpAwdSiopCaRyfDY2X/US/tXIHZ+Mefz4MfX09IpN1lfEpUuXaGFhUWFUlZ2dzYULF1JPT49+fn6V5pAePHjAatWqsVatWl/U4WzZsoUjRowo9tnQoUPp7+//xWz4LyEQCBgeHs5Ro0ZRV1eXHTp04Pbt2/nx40ep5L58Sc6dS+rokNWqkdrahT+Kilk0NMymu/sfVFbWZ3R0tMgy4+LiaGxszEOHDkllG0na2NgwNjZWajmSIBQKeeHCBbZqNZYKCpkSO71q1cjdu7/KJXwTyB2fjPHw8KCfn5/Y41xcXLh+/fpSjwmFQoaEhNDS0pJ9+vTh06dPpTOyHP766y/q6urSyMjoi1cFLl++vFik/ODBAxoYGPDDhw9f1I7/ItnZ2Tx48CB79OhBLS0tDhw4kCdOnGBeXp7IMgQCcsaMwhScmlp5D+4MKirmcPt28Wy8ceMGjY2NpZoTJ0l9fX2+efNGKhniIhAIePjwYbZo0YINGjTgtm3baGMjoIKCZI5PW5ssY2pUjgjIHZ8MuXPnDo2MjCR6Y46NjWX16tWZkZFR7PP79+/TycmJDRs25Llz52RlaqkkJSXRyMiIOjo6fPbsWaXqKuLlS3LRInLoUN6pX583mjUjN2wgP37kkCFDuHDhwi9jh5wikpOTuWHDBrZu3ZpGRkacPHkyr127Vm5aUiAg+/UjNTREf3hraJBLl4pn259//kkjIyMePXpUomvLzs6mqqoqBQKBROPFJTc3l1u3bmWDBg3o4ODAI0eOFOmOjy8sUBHX6amrk7///kXM/2aROz4Z0qtXL65YsULi8f379+fixYtJkh8/fuSMGTNoYGDA1atXi/XmLQkpKSk0Nzdn1apVef/+/UrVRZK8dIl0di49PNDUpEBNjbvV1JguL1v7qiQkJHDBggWsW7cu69evz4ULF/LJkyclzvPyIjU1xX+Ia2iQ+/eLZ1NMTAyNjIx47Ngxsa/n8ePHrFWrltjjxCUtLY0rV66kqakpnZ2dGRYWVuqLQ1RUofMTNfJTVydlWOfzn0Xu+GREVFQUTU1NmZWVJbGM+Ph4GhgYcP369TQxMeGIESO+SLrx48ePrF+/PtXV1Xm9sh2NUEj6+YkUGhQoKhaeFxJSuTbJqRChUMjIyEhOnDiRBgYG/L/27jSsqWvtG/h/JwSIIAKCoi2CcynoQbEOOKAIgvUgWnFCtAryeHy0LVRrT7FYqz62ziN1tk6lvLYOiCLHFqeqFQfEAeciOCAiKiAkQEjW+yHqscqQZO9AIPfvuvhiste6RcOfvfYaevbsydauXcuePHnCsrOrG9qs+svenjFtJzWfOXOG2dvbs/3792t13fHjx5mnp6d2nWkhNzeXff3118zOzo6NHDlSo2eJN28y5uWl/h1QIlG99f0Ri9UfAzc39SQhwh8Fn0D69+/P1q1bx6uNlx/mZs2aafXgn4/i4mLm7u7OzM3N2ZEjR/TfYXS0duNhL3/NjY/Xf21EI6WlpWzfvn1s+PDhzMrKirVvH8ckknJeEzV0mWR5+vRpZm9vzxITEzW+5ueff2bDhw/XvrNq3Llzh02dOpXZ2NiwSZMmsVu3bmndRkYGY4GBt5mpaR5r0EAdhHZ2jI0dy1gtzcWptyj4BPD777+zNm3a6Dwc+ejRIxYWFsYcHBzY4sWLma2tLXv48KHAVb6tpKSE9ezZk5mbm7P4mgiWxETtQ+/1MbEKhthI7crLy2cWFnKdQ+/lV8+euvV/6tQpZm9vz5KSkjR6/+LFi1lERIRunVXg0qVLLCQkhNna2rIvv/ySZWdn82rv66+/ZjNnzhSoOlIZ2rKMJ8YYoqKiMGfOHEgkEq2uVSgUWLFiBVxdXWFlZYXr169j2rRpGDduHObNm6enitXKy8sRGBiI8+fPY/369Rg8eLBe+wMAzJ6t2zksgPrkzZUrBS2H8PfoUSNwnDnvdk6fVkegtnr06IG9e/di7Nix+O233yp9X2EhkJkJXLtWDDs7Z53rfOnkyZMICAjAgAED4ObmhoyMDHz//fdo1qwZr3ZTUlLQrVs33vWRatR28tZ1e/bsYR07dtR6llhycjJzdXVlPj4+LD09/W+v5ebmMltb2wonEQhBqVSyoKAgJpVK2YoVK/TSx1uuXeO/XYWlpXq/J2IwTpxQT63ne8cnFjPGZ1nqH3/8wezt7dnvv//+6s/kcsa2b1c/G5NI1JNvxGI5E4uVrFs3xnbvZkyh0LwPlUrF9u/fz3r16sVatWrF1q5dy+QC/n9UKpXM2tq6xpdaGCMKPh7Ky8uZq6urVrtAZGZmsmHDhjFnZ2e2e/fuSqeIz5o1i40bN06oUl9RqVRswoQJrEGDBmzWrFmCt1+pqVMZMzHhH3wC79tI+PnzT2GCTyRijO+ueMeOHWN2dnYsOTmZ/fij+tmhpWXVzxZtbRk7cKDqdsvKytj27duZm5sbc3d3Z3FxcUyhTWJq6Nq1a8zZ2VnwdsnbKPh42LZtG/P09NRo2yWZTMZmz57NbG1t2bffflvt7M/8/Hxmb28v6B6cKpWKRUREMAsLCzZ16lS9bHVWqT59+P90BBijPTsNyu3buj+2ff3LzEyYeo4ePcoaNPiOmZlpPtlGKmVs48a32youLmarVq1iTk5OrG/fviwpKUmvn5ktW7awkSNH6q198l8UfNUoUypZplzOLj5/zm4UF7P8F7/plZaWspYtW7KjR49Web1KpWK7du1izs7OLCgoiGVmZmrc96JFi97au5KP2bNnMwsLCxYcHFyzoccYY+7uwgTfp5/WbN2kSioVY61b87/bE+rn/aZNTKvQez38Xt75PX36lM2dO5c1adKEDRkyRNBzLasyefJktnTp0hrpy9hR8FXirlzOvrx9mzU6fpw1OHaMWR0/ziyPH2emR4+yAWlp7JMtW9iAag6zTE9PZz4+PszV1ZUlJydrXYNMJmPvvPOOIEsblixZwiwsLNiHH35YO8fS9O4tTPDpsB0c0a9163RbvP7yy8JCmON1ior43X3a2ZWzyMjpzMbGhk2YMIFdreFTXjt37sxOnjxZo30aK5rV+YYylQrjrl1D25QULL9/HwVKJWQqFQqVShQplShjDIeePcPqJk1w6auvcLmo6K02CgoK8Pnnn8PLywsBAQG4cOECvL29ta5FKpUiOjoaUVFRvP5OGzduxKxZs9CpUyfs3r0bYiFOwdRWx46AiQm/NiwtgXbthKmHCGbMGHV06MrREejShX8dP/0E8DnPOS9Phjt32uHixYvYvHkzXFxc+BelIblcjmvXrqFTp0411qcxo+B7TYlSiX5pafj18WOUMobSKj7NTCpFDmPwTE3FqYICAIBKpcLmzZvx3nvv4fnz50hPT8enn36q9TKH14WGhiIrKwvJyck6XR8XF4eIiAi0adMGBw8ehJmZmc618DJlCsDj+/DK0KH82yCCsrAANm0CpFLtrzU3VyI2ln8NjAELFwLFxXxaaYhnz8Lh6OjIvyAtpaam4v3334dUl28i0RoF3wuMMQxPT8eFoiLIVSqNrytSqTDw0iX8evo0unfvjvXr12Pfvn3YsGEDmjRpwrsuiUSCOXPmICoqCkzLX6v379+PiRMnolmzZjhy5AgsLS1516MzFxfA1VX36yUSIDRUt5+uRO9GjQIWLNDun8fcvBympiNQUvIn7/4fPFB/8fXHH+olozXt9OnTtH6vBlHwvXC8oABH8vO1Cr2XChUKhJw4gSlTpuDUqVP44IMPBK1t5MiRKCkpQXx8PADgtkyGvY8fY2tODn7JzcWZwsK3QvHw4cMYPXo0rK2tcfz4cdjY2Ahak05mzwYaNNDtWokE+OwzQcshwvrkEyAuDmjWTD0qXRGOU8LUVIH33wdOnTLBzz+HITAwECkpKbz6fvIEMDXl1QQA9X+z/Hz+7WiLFq7XLI5pextRT/3z0iUkPn0KXb8ZZhyHrB490FSIT18F4vfvx9TYWLwzbRouFRdDwnFQMgYRx4EBsDUxwReOjhjn4ID0s2fh7+8PMzMzpKSkoGXLlnqpSSdffaXegUWbHVykUvUDHBrmrBNUKiA5WT30ePy4+g6KMfU/Y7du2cjJ+QJXr/706v0HDhzAhAkTsH//fnTt2lWnPi9eBPr0Ue/QwoeZGXD/PmBnx68dbTk5OeHQoUNo3759zXZspCj4ADwsLUXL06erfKZXHXOOQ5STE6KdnYUr7IW7JSXom5aGrPx8qMwr3x7KQiQCU6nARUdDcuUKTpw4AVc+w4v6wBgwaxawdGn14ScWq38SbdkCDB9eI+UR4ZWVASKRem6TUqlEy5YtsW/fPri7u796T0JCAsLCwpCYmIguOsx0uX9fPe9JLudXq0gElJbyn4eljZycHLi4uODJkycQiWgQribQdxlA8rNnkPCZDgaghDHszM0VqKL/ypTL0fncOdwtKaky9ACgWKWCDEDxzJmITkw0vNAD1NPu5s4FEhKA/v0Bc/O3x6gaNFD/+ahRQEoKhV4dZ2r63yARi8UIDQ3Fpk2b/vaegIAAbNiwAYMGDcL58+e17uOddwAHB/61enrWbOgB/x3mpNCrOTX8T2yYnpaXQyHAje8zgZ+KFyuV8EpLw7Pycmj15NHcHNEKBXyKitCxNie0VMXbW/119y6weTNw44Z6nMrWVj23fdw4wBCeSxLBTZgwAZ07d8bChQv/NosxMDAQKpUKH374IZKSkrSa2s9xwIwZwPTpus/sbNgQ+PJL3a7lg57v1TwKPgh32yviedf4ph05OXiiUGgXei/IVSp8fecO9nXoIGhNgmvRQj3phRgNJycndOnSBXv27EFwcPDfXhs6dCgYYxg4cCCSkpL+NhxanZAQYNo03esyNwcGDtT9el2lpKRgGp/Cidbo3hpAY4kEpgIMM9gKOEbCGMOCe/dQrMMsUwBgAA49fYqc0lLBaiJEKBMnTsTGjRsrfO2jjz7C6tWr4e/vj4sXL2rcpqWl+tGxLhOHpVL1WsSa3ttBqVTi3LlzOk/qIbqh4APga2PDe6hTKhIhpGlTgSoC/iwsRG5ZGa82OADrHz4UpiBCBDR48GBcuXIFt2/frvD1oKAgrFy5En5+frh8+bLG7U6aBHz+uXbhJ5WqAzMgQPNrhHL9+nXY29vDrqankRo5Cj4Adqam+Gfjxry+GQxAKM9DKF93qqAAZTzDuIQx/PbsmUAVESIcMzMzhISEYPPmzZW+Z8SIEVi+fDkGDBiAK1euaNz23LnA8uXqHWWqesTdsCHQqBHw88/Av/6lTfXCoed7tYOC74Xpjo4w13G4UwxgcOPGsBViS64XBJtwo1AIUA0hwgsLC8OWLVtQXsWksFGjRmHJkiUYMGAA0tPTNW47PBzIzVUvGW3XTj2zlOOK0aCBChIJ0LkzsHGj+j2BgUL8bXRDwVc7KPhe6NqwIYLs7dFAh/BrZGKCJa1bC1qPVCSCEFNlzGiKNDFQrq6ucHZ2xsGDB6t8X3BwMBYtWgRfX19cvXpV4/YbNAAmTFBPGH74ELCx8caRI0+RmwucPw+MGCHMbi98UPDVDvqp+ALHcdjUvj1cFQqgpESja0QArE1McMTdHe9Ws8ZOW81MTXUK4Tc51tam1IRoICwsrNJJLq8bM2YMFixYAF9fX1y/fl3rfmxtgbKyq3jvPVNYW+tSqfCKi4tx69YtrWauEmFQ8L3mr1u3cCc4GKOlUpiLRJUGjxgASkvhKpUi1cNDL2vlhtrbQ8mzjYZiMcKbNxekHkL0YeTIkTh+/DgeajAJa+zYsZg/fz58fHxw48YNrfphjEEmkxnU6Qfnz5+Hm5tb7Z2YYsQo+F4oKChAYGAgvvu//0Oslxce9uiB+S1b4h1TU5hwHKQiEcw4DmYch+CmTfHPpCQMP3QILfX0QWoskSCA54Qbc5EI/ra2gtVEiNAsLS0RFBSErVu3avT+jz/+GHPnzkX//v1x8+ZNjftRKBQQi8W8jggTGg1z1h7aqxPqtTQBAQFo3bo1Vq1a9bfXGGOQqVTILy+HVCRCIxMTiDkOt27dgqenJ/766y9YWVnppa4zhYXol5YGmQ5r+aQiEb52ckKUk5MeKiNEOCkpKRgzZgxu3boFTsNNIDZt2oTZs2fj8OHDaNu2bbXvz8/Ph5OTEwpenJ1pCIKCgjB06FCMGTOmtksxOnTHB2DmzJkoKSnB0qVL33qN4zhYiMV4x8wMthIJxC8+mG3btoW/v/9bQSmkrlZW+ODePY2fOb5kynHoaGGB6bVwoCYh2uratSvMzc1x7Ngxja8JCwvDrFmz0L9/f/z111/Vvl8mk6GBrkdi6Qnd8dUeow++2NhY7Ny5Ezt37tR6GOTrr7/GihUr8Pz5c73UFhMTg5TwcDhdu6bxRBepSIQOFhZI6thRkN1oCNE3juMwceLEtzaurk54eDhmzpwJb29vZGRkVPleuVxuUMGXnZ0NuVyO1gLPBieaMeqfjOfOncNnn32G+Ph4nXZOaN++PXx8fBATEyN4bVu3bsX06dPh1acPbk2dihVt2qCZqSksK9lTyVIkgoVIhP9p1gwnO3eGtQE9yyCkOiEhIUhISMAzLTdcmDRpEv7973/D29sbd+7cqfR9hjaxJSUlBV27dtV4aJcIy2iDLycnBx999BHWrVuHDjw2co6OjsayZctQVFQkWG2//vorJk2ahJ49eyIhIQESiQQTmzfH/R49sMvVFT42NmgikcBSLEZjExN0tLDAirZtkduzJ5a3bUtr90idY2dnB39/f8TGxmp97eTJk/HFF1/A29sbmZmZFb7H0IY6aZizljEjVFJSwjw9Pdk333wjSHsjR45kCxYsEKStxMREZmpqyry8vFhpaakgbRJSFxw6dIi5u7vrfP3KlSuZs7Mzy8zMfOu1I0eOsD59+vApT1B9+/ZlBw8erO0yjJbR3RowxjBlyhQ0bdoUs2bNEqTN6OhoLF26FMW6HgT2wtGjRzFkyBB06dIFhw4dgmltbytBSA3q378/nj17htTUVJ2u/+STT/DZZ5/B29sb9+7d+9trhnTHp1Qqcf78eTqRoRYZXfDFxMQgJSUF27ZtE+zEY1dXV/Tu3Rtr167VuY0zZ87A398f7u7uOHz4MIUeMToikUjjnVwqExERgalTp6Jfv364f//+qz83pMktV69ehYODA2xpjW2tMargO3z4MObNm4f4+HhYCrzbyqxZs7B48WLIZDKtr7106RK8vLzw/vvv49ixY7STAzFa48ePR1xcnE6fo5ciIyMxefJk9OvXDw8ePABgWJNb6Ple7TOa4MvIyEBwcDBiY2PRqlUrwdvv0KEDPD09sW7dOgDqIdWi8nJkl5aioLwcqkr2Cbh58ya6d++Otm3b4tSpUzAXeM9PQuoSR0dHdO/eHbt27eLVzrRp0xAeHo5+/fohOzvboIY6Kfhqn3BHhhuwoqIiBAYGvlrzoy/R0dHwGzkShQEB+OHRIzwtL4eE46BkDCYchwkODvj03XfR7sUHMCsrC507d4aTkxNSUlIo9AiB+nT2FStWYOzYsbzamTFjBlQqFfr164fg4GCDCr5JkybVdhlGrd5vWaZSqRAUFARbW1ts2LBBb+tmylQq/O/Nm/jx/n2IRSIoKnh+KAFgIhLhg4YNsdrODr3c3NCkSRNcvHjRYD6UhNS2srIytGjRAsePH0e7du14tzd//nwsW7YMo0aN0utOS5ooKiqCg4MDnj59Ss/xa1G9H+qcM2cOHj16hJiYGL2FnkyphFdaGmJzc6EyMakw9ABAAUCuUuHPggL849w5NGzbFmlpaRR6hLzG1NQU48aN03onl8pERUXB1dUVcXFxePTokSBt6urcuXPo2LEjhV4tq9fBt3v3bmzevBm7du3S24QRFWP46MoVpBUVQa7hZtIKAMzKCtzKlSijDwAhbwkNDcW2bdugUCgEac/DwwOdO3eGt7c3cnNzBWlTF6dPn6bnewag3gbf5cuXMWnSJOzZswcODg5662f/kyc4WViIEm1PUBCLkatQYP7du/opjJA67L333kObNm1w4MABQdqTyWQIDAxEUFAQvL298fjxY0Ha1RZNbDEM9TL48vLyEBgYiBUrVsDDw0OvfS24exdFSt2OjC1jDOuzs1Gqw7FDhNR3EydO5LWm73UvZ3XOnj0bQ4cORf/+/Ws8/BhjFHwGot4Fn0KhwIgRIzB8+HAEBwfrta/bMhlSee7RyQDsrqXfPgkxZEFBQTh16tSrtXh8vFzAznEc5syZg4CAAPj4+CAvL0+ASjVz//59lJeXw9nZucb6JBWrd8H3+eefQyqVYv78+XrvK+HJk0rX52nquVKJ7bX8wJ0QQ2RhYYERI0Zgy5YtvNt6fQE7x3GYN28eBg4cCF9fXzx58oR3+5p4ebdHJzLUvnoVfBs3bsRvv/2G2NhYiCs5vkdIuWVlKBNgNUhuWZkA1RBS/7w8p0/F83HAmwvYOY7Dd999B19fX/j6+uLp06d8S60WDXMajnoTfCdPnkRUVBTi4+PRqFGjGulTqCdz9XohJSE8eHh4wMrKCkeOHOHVjlwuf2vLMo7jsGDBAnh7e8PX11frswC1RcFnOOpF8N27dw/Dhw/H1q1b0b59+xrr114igakAwxZ2dGgsIRXiOA5hYWG81/RVtmUZx3FYtGgRvLy84Ovri/z8fF79VKa8vBypqan44IMP9NI+0U6dDz6ZTIYhQ4YgMjISAwcOrNG+/WxtIeYZfJZiMUY0aSJQRYTUP2PGjEFiYiKvZ3FVnc7AcRyWLFmCXr16YcCAASgoKNC5n8pcuXIFjo6OsLa2Frxtor06HXyMMUycOBEuLi6YPn16jfb9+PFj7F22DIqMDF7tqBjDaAo+PEW16wAADXBJREFUQipla2uLQYMG4aefftK5jepOZ+A4DsuWLUO3bt3g5+cnePjRMKdhqdPBt3DhQty6dUuve3C+KT09HeHh4WjXrh2ysrIwv0MHWOh4rp8JgI8dHNCgBibiEFKXvVzTp+vWwpqczsBxHFauXAkPDw/4+/ujsLBQp74qQsFnWOps8B04cAArV67Enj179H7OFmMMSUlJ8PPzg4+PDxwdHXHjxg1s3LgREZ064X0LC62f9XEArCUSRDs56adoQuoRLy8vFBcX49y5czpdr+lBtBzHYfXq1ejUqRMGDhyI58+f69Tfmyj4DEudPJ3h+vXr6NOnD/bu3QtPT0+99SOXy7F9+3YsX74cEokEkZGRGD169Fv7fuYrFOiemoqskhKUaPDtFAGwMjHBH+7ucBP4QFxC6qv58+cjKyvr1ZmXmlKpVDAxMYFSqdR4ZEilUmHy5MlIT0/HwYMH0bBhQ11KBgAUFhaiefPmePbsGSQ0kc0g1Lk7vvz8fAQGBuL777/XW+hlZ2dj5syZcHJywv79+xETE4O0tDSMHz++ws2urSUSnPPwQD8bG5iLRKjsvzYHwEIkQjupFOc9PCj0CNHC+PHj8csvv6C4uFir6+RyOczNzbV6HCISibBmzRq4uLhg0KBBKOKxQ9PZs2fh7u5OoWdA6lTwKZVKjB49Gv7+/ggNDRW8/dTUVIwdOxZubm4oKCjAyZMnsW/fPvTr16/aD42liQkSO3bExS5d8D/Nm8NCJIKlSAQrsRiWYjHMOA6BjRvjP//4B6527YpWeh6eJaS+ad68OXr16oVffvlFq+s0HeZ8k0gkwrp169C2bVsMGjRI68B9iYY5DU+dGuqcMWMGzp8/j6SkJMF+e1IqlUhISMCyZcuQkZGBTz75BOHh4bCxseHVbolSieyyMhSUl8NCLIaDqSmsTIziwHtC9CY+Ph6LFi3CiRMnNL7m7t276NmzJ+7du6dTnyqVCmFhYcjMzMSBAwe0DtHAwECMGTMGI0aM0Kl/Irw6E3w7duzAN998gzNnzqBx48a823v+/Dl+/PFHrFixAnZ2doiMjMSwYcNoOIIQA6ZQKNCiRQscPnwYLi4uGl1z/fp1BAYG4saNGzr3q1QqERoaivv37yMhIUHj8GOMoVmzZkhJSYETTWQzGHViqPPs2bOIjIxEfHw879DLzMzEtGnT4OzsjBMnTmDHjh1ISUnBqFGjKPQIMXASiQTjx4/XaicXXYc6XycWi7F582Y0b94cgwcPhlwu1+i6uy/O22zRogWv/omwDD74Hj58iI8++gjr16+Hm5ubTm0wxnDq1CkMHz4cHh4e4DgOqamp2LlzJ3r06CFwxYQQfQoNDcX27dtRpuHm7tUtXteUWCzGli1b0LRpUwQGBlYYfnI5kJAAbNgA/PADsGTJQ3ToMJhOZDAwBh18paWlGDZsGMLDwzF06FCtr1coFIiLi0P37t0xduxY9O7dG5mZmVi8eDENOxBSR7Vt2xYuLi5ISEjQ6P2aLF7XlFgsxtatW2FnZ4ehQ4eipKQEAHD7NvDpp4C9PRASAkREANOmAWvXuuPo0R/g5QUcOADoeGY1EZjBPuNjjCEsLAyFhYXYuXMnRFrsjvLs2TOsX78eq1evRuvWrREREYGAgIAaOaqIEKJ/O3bswE8//YSDBw9W+959+/Zhw4YNGgelJsrLyxESEoL8/AJ4ee3DnDkSKJWAQlH5NZaWQPv2wKFDgK2tYKUQHRjsHd+qVatw/vx5bNmyRePQu3nzJqZMmYJWrVohPT0d8fHxOHr0KIYMGUKhR0g9MmzYMJw5c+bVM7SqCHnH95KJiQl27NiBrKxwREcrUVJSdegBQFERcPky0KULoOcTkEg1ajT4ylUq7Hn8GAGXL6PzuXPocPYsvC5cwMKsLDx57X9NcnIy5s+fj71798KymkXejDEcPnwYAQEB6NWrF2xsbJCeno5t27ahc+fO+v4rEUJqgVQqxahRozQ6nV2IyS0ViYszwd27Q6FUmmt8TVkZ8OABMHAgYJhjbcahRoY6ZUolFt69i1UPHkDBGJ6/MdAtFYnAAAxu3BjhYjFC+vZFXFwc+vbtW2mbpaWliI2NxfLly6FQKBAREYGQkBC9/AcnhBieCxcuYMiQIcjIyKhyRCcmJgbp6en44YcfBOtbpQLefRd4+FC36y0tgcREoHdvwUoiWtD7iuq8sjJ4X7yIWzJZpftYylXqs8x/ffwYv5aU4JPvv6809HJzc7FmzRqsWbMG7u7uWLBgAfz8/GjWFCFGplOnTrCzs0NycjIGDBhQ6fv0MdSZnAzw2b+6uBhYuJCCr7bodaizWKlE77Q0XK8i9F6nAqAyN8eGVq1w5o0jQS5fvoywsDC0b98eDx48QHJyMpKSkuDv70+hR4iRmjhxYrVr+vQx1LlokfqZna4YA377DcjJEa4mojm9Bt+UmzdxRy6HQsvRVJlKBf9LlyAvL0diYiJ8fX3h5+eHli1b4ubNm1i/fj1cXV31VDUhpK4YPXo0/vOf/yAvL6/S9wi1ju91Op6O9Dfm5sDFi/zbIdrT21DnM4UC/+/xY5TqenBkaSlah4ai6eXLiIyMxMiRIys8GYEQYrysra0xePBgbN++HZGRkRW+RyaToVmzZoL2K5Pxb0OlAvLz+bdDtKe3O74fc3J4NV4qFsM8NBSpqakYN24chR4hpELVnc6uj6FOIXY35DiADmmpHXoLvtUPHkD2YtKKrnJEItzUcE88Qohx6t27NxQKBVJSUip8XR9DnXZ2/NtQqYDmzfm3Q7Snt+B7qOE+elUx5TjcfbElECGEVITjOISFhWHjxo0Vvq6PWZ2TJ/O/W7O2Bjw8hKmHaEdvwVfG824PABjUM0MJIaQqH3/8MXbt2oXnFawx0MdQZ1gYoFTq/jOuQQPgiy/Uw52k5ukt+My12FuzMhyARnR4KyGkGg4ODujbty927tz51mtCD3WWlpZizZp5APZCLC7XuZ2PPxasJKIlvQWfiwC/YZUyJkg7hJD67+UklzcJOdR57NgxuLu7IyUlBWfPfoB33jGBttsAS6VAXBzQqJEgJREd6C34ZrRogYY8NobmAPSztoYDzeYkhGjAz88Pd+/exZUrV/7253K5nPcdX15eHsaPH4+QkBDMnz8f+/btQ8eOjjh5EnB0BExNNWtHKgXWrwcCAniVQ3jSW/ANsbPj1biFWIwvHB0Fq4cQUr+ZmJhgwoQJb+3kwueOT6VSYfPmzXB1dYWtrS2uXr2KoUOHvtot6t13gQsXgPHj1c/tLCwqqksdeF27qo8kCgnRqRQiIL1uUr0gKwtzs7JQrOVEFxMALhYWuNilC21HRgjRWEZGBrp374579+69Wvvr4OCAtLQ0ODg4aNVWeno6Jk+ejJKSEqxbtw6dOnWq8v1FRcCOHeo7utxc9TFFVlaAjw/w2WfAe+/p/NciAtNr8DHGEHztGvbl5Wm8ps+E42AnkSCtSxc01XT8gBBCXujb90O4uMxGampX5OQA9+7loHVre/TvL0ZERPUBJJPJMG/ePGzYsAHffvstJk2aROd51jN6P5ZIyRj+9+ZN/PToEWQqFarqzEIkQnMzMxx1d0dzerZHCNFCURHw1VfAhg0KlJcroFT+fXjTxES944qbG7B4MdCnz9ttHDx4EFOmTEG3bt2wdOlSwbc6I4ahRs7jY4zhj4ICLLp3D78/fQoRx0H+IgRNOQ4SjsO7Zmb4skULjGrSBFL67YoQooWcHKBvXyAzEygtrf79Uinwww/qZ3MAkJ2djYiICKSmpiImJgZ+fn56rJbUthoJvtfllJZib14eHpWVoVSlQmNTU/Ru1AhdraxqsgxCSD3x/Ll6B5Q7d4ByLZbVSaXA9u1KZGf/gDlz5uBf//oXoqKiBN/ejBieGg8+QggR0sSJ6kklmtzpvUkkkqN795HYuHEBXFxchC+OGCTaFoUQUmcVFgKxsbqFHqBeAhEYGA8XF5o9bkz0ehAtIYTo0/btAJ/dEcvKJFi2jIMAWwuTOoSCjxBSZ8XEAMXF/NooLgb+/FOYekjdQMFHCKmzHj0Spp0HD4Rph9QNFHyEkDpLgGM/wRhA510bFwo+QkidVdHemNoSidSHwhLjQcFHCKmzunblf5hrWRlQzTacpJ6h4COE1FnTp6tPReDD0xNo0UKYekjdQMFHCKmzevcG7Ox0v97SEpgxQ7h6SN1AwUcIqbM4Dli4UL39mLYkEqBVK8DXV/i6iGGj4COE1GkjRqjv2rQZ8pRIgCZNgN9/57cAntRNtFcnIaReWL4ciIpSb1StUFT+PktLwMkJOHxYHX7E+FDwEULqjb/+AlatAjZtUt/JKRSASqW+w1MqgX/8A/jyS+Cf/1Sfz0eMEwUfIaTekcuBQ4fU5/SVlqrX6XXvDrRrV9uVEUNAwUcIIcSo0GNdQgghRoWCjxBCiFGh4COEEGJUKPgIIYQYFQo+QgghRoWCjxBCiFGh4COEEGJUKPgIIYQYFQo+QgghRoWCjxBCiFGh4COEEGJUKPgIIYQYFQo+QgghRoWCjxBCiFGh4COEEGJUKPgIIYQYFQo+QgghRoWCjxBCiFH5//ppHnYlRJs4AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -228,7 +229,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -237,7 +238,7 @@ "0.42" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -255,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -271,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -281,7 +282,7 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -300,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": { "scrolled": true }, @@ -311,7 +312,7 @@ "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -323,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -341,7 +342,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -366,7 +367,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -375,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -389,7 +390,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -403,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -412,18 +413,9 @@ "scrolled": true }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/miniconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:676: MatplotlibDeprecationWarning: \n", - "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n", - " if cb.iterable(node_size): # many node sizes\n" - ] - }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOydd1hTZxvG75OwMoAQ9gxbhSquirhw4MRS92frwFlntY66ra1aB0Xr1tY62lrrrlaFKipuq+DA4kIrS0AQkb2T5/sjcEpkiAql6vu7rnORc971nEOSO+96Ho6ICAwGg8FgvCMI6toABoPBYDD+TZjwMRgMBuOdggkfg8FgMN4pmPAxGAwG452CCR+DwWAw3imY8DEYDAbjnYIJH4PBYDDeKZjwMRgMBuOdggkfg8FgMN4pmPAxGAwG452CCR+DwWAw3imY8DEYDAbjnYIJH4PBYDDeKZjwMRgMBuOdggkfg8FgMN4pmPAxGAwG452CCR+DwWAw3imY8DEYDAbjnYIJH4PBYDDeKZjwMRgMBuOdggkfg8FgMN4ptOraAAaDwahrlErg0iXg8WOgsBAwMgKaNwdMTevaMkZtwISPwWC8s6SkAN9/D6xeDRQUABwHEAECgfq8Rw9g+nSgZUt1GuPtgCMiqmsjGAwG499m2zZgwgS10OXnV5yH4wCxGPD0BA4dAqTSf9dGRu3AhI/BYLxzrFgBfPEFkJtbvfx6eoCTE/Dnn0z83gbY4hYGg/HGcPr0adjY2FSaPmzYMMybN6/KOg4dAubPr77oAUB+vhT37z/Ehx+qe4iMNxsmfAwG41/H3t4eIpEIUqkU5ubmGD58OLKzs2u9XSLgs8+AvLznU2IAcACkJYc9gGVl0rNRWOiIy5eBK1dq3UxGLcOEj8Fg1AmHDx9GdnY2rl27hrCwMCxevLjW27xwAUhNrSpHOoBsAL8CWAjgD43UvDwgMLDWzGP8SzDhYzAYdYq1tTW6d++OyMhIAMC2bdvQoEED6Ovrw9HREd999125MkuWLIGJiQns7e3xyy+/VFr35s2b4ezsDLlcDj8/PyxalIicnOpY5QXAHUBkyTkH4AFUKuDw4TyMHz8NCoUChoaGaNOmDfJKupD9+/eHhYUFDA0N0a5dO9y6dYuvMSgoCG5ubtDX14e1tTUCSxQ0NTUVPXv2hEwmg1wuR9u2baFSqQAAd+7cQfv27SGTyeDu7o7ff/+9OsYzXgATPgaDUafEx8cjKCgITZo0AQCYmZnhyJEjyMzMxLZt2zBlyhRcu3aNz//48WOkpqYiISEBP/74Iz755BPcu3evXL2nTp3C7NmzsWfPHiQlJUGhUODUqYHVmKMjABcA3ALQpHwqTcf581dx8eJFpKWlISAgAAKB+qu0e/fuuH//PlJSUtC0aVMMGjSILzdy5Eh89913yMrKQmRkJDp27AgAWLFiBWxsbPDkyRMkJydjyZIl4DgORUVF+OCDD9ClSxekpKRg7dq1GDRoUIX3ynhJiMFgMP5lFAoFSSQSMjQ0JDs7Oxo3bhzl5uZWmPfDDz+kVatWERFRaGgoCYVCys7O5tP79+9PCxcuJCIif39/mjt3LmVlZVHr1q1p9OjRfL6srCwCtAiIJvVsX9kjmgAQYEiAjID6BKwukw4C7hOgJECPli+/oWFjWloaPXv2TOPas2fPCAClp6cTEZGtrS1t2rSJMjIyNPLNnz+f/Pz86P79+xrXz549S+bm5qRUKvlrAwcOpAULFlTnETOqgPX4GAyGGiIgLQ148AB4+BDIyKjV5g4ePIj09HTExsZiw4YNEIlEAIDg4GC0bNkScrkcMpkMQUFBSC0zMWdkZASJRMKfKxQKJCYmatSdkJCACxcuYNu2bXBwcMDs2bNx7do1cJwxgIQqrEoF8AzAHQCTKknPh7W1I27evIklS5bAw8MDxsbGmD9/PmbNmgUnJycYGBjA3t5eXaLE9v379yMoKAgKhQLe3t64dOkSAODzzz+Hs7MzunTpAkdHRyxbpl5Uk5iYCFtbW743WXqvCQlV2c+oDkz4GIx3ndxcYOtWoH59wNISaNIEaNRI7a/r/feBffuAoqJ/xZSCggL07dsX06dPR3JyMtLT09GjRw9QmfHJZ8+eIafMRF1cXBysrKwAAEqlEsnJybhSsvSyuLgYMTExWLZsGTp16gSipwCsX8NCEwB6WLhwBDw8PDBv3jzcvHkT2traePz4MQ4dOoQTJ04gIyMDMTExAMDb/v777+PQoUNISUlBr169MGDAAACAvr4+VqxYgYcPH+Lw4cNYuXIlTp48CSsrK8THx/PzfaX3am39OvYzAOayjMF4t/nuO2DaNLWLktLtBIWF/6SHhwMjRgBaWsDPPwO+vrVqTmFhIQoKCmBqagotLS0EBwfj+PHjeO+99zTyzZo1CwMGDEBQUBAOHDiA5ORkbN++HTExMZDL5UhPT4eWlhaKi4shFAphb28PKysr3Lz5DJmZFq+xF08AkWgEzMz+goFBc9y8eROFhYUoLi5GUFAQ8vPzMXjwYDRq1Ah3794FAOTn56OwsBB79+5Fz549YWhoCAMDAwiFQgDAkSNHUL9+fb6nKBQKIRQK4enpCYlEgoCAAEybNg0XLlzA4cOHERYW9hpPmAGAzfExGO8sc+YQicXPT3ZVfohERD/8UCNNKxQKCgkJqTBt3bp1ZGZmRoaGhtSvXz/q0KEDdevWjSZOnEhNmzYlgUBA2traJBQKSSwWU79+/ei3336ju3fv0pAhQ2ju3LlERGRsbFwyN/fPYWXlQdraxVXM8RVVcvvqOT6RiGjRolyaPHkyWVlZkZ6eHgkEAhIKhZSUlERdu3YlkUhEMpmMWrVqRQBIR0eH6tWrRxYWFqSnp0cikYgaNWpEZ8+eJSKilStXkkKhILFYTNbW1vx8JRFRZGQktWvXjgwMDKhBgwZ04MCBGnn+7zrMZRnj7YcIuH4diIlR92oMDQE3N8DFpa4tq3GGDRsGGxubF++J27AB+Pzzl3NfAgAikXros0ePVzfyOVQqFeLj43H79m3cuXMHd+7c4V9zHIcGDRqgQYMGcHNz418/P/f1PKdOncLo0aPx8OFDAIBQKES3bt1w+PBhdOuWh+PHtQFov7StIhEQFweYmPxzLSwsDDt27MDq1asrLFNYWIi7d+/i5s2biIiIQEREBN9T9PDwQKNGjfi/7u7u/Fznf527OTm4mp2NjOJi6AkEsNbVRUeZDNpV/F/+KzDhY7y9ZGcDv/wCBAQAycmAUAioVGrX+4WFQMOGwKxZgJ+feijvX8Te3h7JyckQCoWQSCTo0aMH1q5dC+lrOoJ8kfAlJSVh3owZCNqxA9lQz3b9D8AMAJIKS1SAuTmQmKh+ji9BUVER/v7773Lidu/ePRgaGpYTNzc3N5iamoKrZliElJQUzJs3D3v27EFmZiYaN26MO3fuoLCwEEZGRtDT0ytZGGIGff2HyM4Wg6j6IRfEYmDTJmDIkJe67UpJTk7mRbD0b1RUFBwcHHgxLBVEa2vraj+H2qRIpcKh1FQsj4/HrZwcCDkOxUQQABByHIQAxltbY7y1Nax1deva3Ephwsd4O7lwQT0fVVyMKncsS6WAsTEQGgo4OPxr5tnb2+OHH36Aj48PEhIS0LVrV/Ts2ZNf0feqVCV8aWlpaNq0KVqZmGDJ7duwz8tDPIBAACMBNKpuI/r6wJ49QLduFSbn5eXh3r17GuJ2584dPHz4ENbW1rywlYpb/fr1YWho+Er3q1Kp8MMPP2DlypWIioqCqakp/P398cUXX0AqlcLV1RX379/XKOPu7o7ffotEu3bA06fVW7cjEgHLlgGTKlroWYMUFhbizp07Gr3DiIgIKJXKCnuHenp6tWtQGRIKCtDhxg0kFRYiW6msNJ8ux4HjOHzn6oqhFhb/mn0vw3+/T8pgvCwnTgBduqiX47/ITUd2NhAfDzRrBjz3Bflv8TKeS7Zv3442bdpolOc4Dg8ePHhhOytXroS+vj52pKTAvsTTiC2A1fhH9O4C6AxADqAegD0l1xPxjxdLaVYWxL6+4DgOf/75J5YtWwY7Ozvo6OhAKBRCKpXio48+woEDB8BxHM6cOYOuXbvC2dkZT548gVgsxsKFCzF8+HDk5eXB3d0dK1asgJmZGSwtLbFt2zbe5oKCAkyfPh12dnYwNzfH2LFjkZeXh5s3b8LX1xcikQgTJ06Eg4MDwsPDkZycjICAAL7nfP78eY2eEsdxCA0NhYsLcOMG0LMnoKurFrbnEQgAiUQdlWHv3toXPQDQ0dGBh4cHhgwZgsDAQISEhCAlJQW3bt3CzJkzYW1tjZMnT2L48OEwMjKCu7s7PvroIyxbtgzBwcFISEhAbfRlEgoK0DQ8HNH5+VWKHgAUECFfpcK4qCisf/Soxm2pCdiqTsa/ypdffokHDx5gx44dNV53+/btMdjHB6OWLXu5uSuVSi2S7dsDd+4ABgY1bltVlHou6dOnD4B/PJc4Ojri7Nmz6N69O95//300bdr0tdo5ceIE+nTsCMHmzRWm50AtegsBBAO4CaAL1I673KH2YFnKxyoV9gqFmDhxImxsbODj44Pu3bvDxsYGM2bMQLNmzbBq1SoAwE8//YTz58/j2LFj0NPTQ+vWrbF9+3aMHTsWgNoTS0ZGBhISEhASEoJ+/fqhV69eMDIywsyZM/Hw4UPcuHEDRUVFaN26NUxMTJCXlwdnZ2esWrUKY8aMqXC+Lz09He3bt9cQgj59+sC0JKy6uTlw4IA6GO3mzcAPP6i3MRYXqwWvbVv1NKinZ90HobWwsICFhQW6du3KXysoKNDoHa5YsQIREREgonK9Qzc3t1fuHRaqVGh/4wbSiotR/BKimqtS4fOHD1FPLIaPXF5l3rIjFefOncOoUaNq1UMN6/ExapydO3eiefPmkEqlsLS0RPfu3XH+/Pl/p/HDhytyvV8lMQA4lQpNk5LU0UlLSE1NhY6ODr8Ruabp1asXZDIZ2rRpA6VSicKSbQS+vr5wcnICx3Hw9vZGly5dcO7cuddu7+nTpzDT04OqkvnMI1DHJBgO9S/ipgD6Atj3XL7lAO4BSI+NRXh4OA4ePIitW7eif//+8PLywrRp03DmzBmNMpMmTYKVlRXkcjk++OAD3Lhxg0/T1tbGF198AW1tbfTo0QNSqRT37t0DEWHz5s3o0aMHunTpAisrKyQlJUEgECAxMRFRUVEYN25chaJ38uRJmJub4+7du1izZg38/f0hEAiwcePGcnnNzIC5c4Ho6H8GCVJSgP37/5uR13ft2gVPT0/I5XJ06dIF69evh5OTE987/Ouvv/D555/D0tISISEh8Pf3h5GREd577z18/PHHWL58OYKDg5GYmKjxo6CykE4HU1PxuLDwpUSvlDyVCjMePiw3UpGZmYnWrVujb9++KHpurLlt27avLHoxMTHgOA7FxcVV5mM9PkaNsnLlSixbtgybNm1C165doaOjgz/++AOHDh0qN0RX4xQXA9euqXtwr0AOESKXLMF7kyYBHIedO3fCwcEB2dnZuHfvHurVq1ej5h48eBA+Pj4A1F862trqVYbBwcH46quvEBUVBZVKhdzcXDg4OCAqKgoxMTHIyMjA4cOHkZWVhczMTADAqlWroK2tjYsXL0JLSwtXr15FVlaWxvH06VMs+eYbDCFCRX3aWACXAcjKXCsGUHYtRzDUQ6OXtbV57ykpKSmYNGkSzp07h6ysLKhUKhgZGWnUbVFmrkcsFmt4WjE2NoZWGTEWi8V4+PAhvvnmG+Tm5mLcuHEQCoUQiUQQCoVQKpUa9ZWluLgYY8eOxdatW2FgYIDIyEi4lKzeXbt2LfT19Sv7d7wRrFixAgEBAVi/fj26du0KqVSKGzduIDAwECNHjoSuri4sLS1haWmJbmXmYAsKCnD79u1yvUMAfM/wwYMH0NLSQkFBAXTLLExZHhf3wuHNqribm4tHZULcP3v2jB/6/umnnzT+9/8adbSNgvEWkp6eThKJhPbs2VNpngULFtCgQYP48379+pG5uTkZGBhQ27ZtKTIykk/z9vamzZs38+fbtm2j1q1b8+fHjx+nevXqkYGBAU2YMIHaOTrSZh0dfvPVFoDqAyQDqAtAMZXsT4su2eO1CKDp2tpEJ04QEVGjRo2oYcOGBID8/f2JiOj27dvk7e1NhoaG5ObmRocOHeLt8ff3p/Hjx1P37t1JKpVS48aNKSgoiC5dukTHjx+n1atXk5ubG4nFYhIIBOTl5UXjx48nT09P4jiOPwCQXC4nfX19EggEJBAISCwWk5OTE9nb25NUKiVfX18aOHAgDR48mADQp59+SitWrCAvLy/q3bs3HT16lM6ePUvXr1+nBw8eUEpKCs2cOZMa1qtHSj29Cp/DToB8qtjHdxcgU4DOAUQCAVGJD8kRI0bQwIEDKTU1lYiIfvvtN7K2tuafy/N79sq+B0JDQ/m8RUVFFBgYSEKhsGTPnRVpa2vTgwcPqvX+i42NJVtbWwJAHTt2pKKiomqVe1NIT08nsVhM+/btqzJfVZ8blUpFn332GZmamvJ7Azdu3Ei9e/fWeP9JpVL6+OOPqU3PngRLS4JIRFAoCAsXEkJDCceOESQSwtat6vPQUMJvvxF0dAgHDvxzLTSUhKGh1HbJEmrdujU9efKEGjduTMOGDdPwQVrqY5VI8z1BpH7/BAQEUMOGDUksFtOIESPo8ePH1K1bN5JKpdSpUydKS0sjIuL//xKJpMpnxIY6GTXGpUuXkJ+fj969e1e7TFXe7KsiNTUVffv2xeLFi5GamgonJydciI7mvY4cBLAEwAEATwC0BfDRC+ocDGBXURHyTp9G7969cfPmTT6sTHh4OObPnw8vLy/k5OSgS5cu0NfXR58+fdCgQQM4Oztj9+7d2LBhA44dOwaBQIB79+5h4MCBmDx5MpYsWYJZs2ZBJpPB398fIpEI165dg6GhIcaOHQtvb28MHDgQISEh/JBcbGwsDh06BF1dXUyZMgUPHjzAsWPHUFhYiMWLF2Pbtm18r2vSpEmYOnUqXF1d4ebmhh49eqBt27Zo3LgxnJycYGpqihkzZiAzPx/+QiFiS+45AcBUqOfzegKIAvAzgKKSIwxqr5WZAD4EsBhAGwDw9ua3M2RlZUEqlUImkyEhIQHffPNNtf6HpRQWFqJjx44QiUSYN28edHV1sXXrViQkJGDcuHGYPXs2UlJS1PYmJODYsWPl6tixYwecnJzw6NEjbNiwASdPnqybnkQtcunSJRQUFODDDz985TqOHz+Os2fPIioqCunp6di/fz8+/PBDHDhwAEOHDsWcOXOQl5eHs2fPonPnzsiUy8EFBgJHjgBDhwJLlqiXwuroqCdBT578p/LQUMDDA3iut68EEJWbi7S0NHh7e8PT0xNbt26tch/m8+zfvx8hISGIiorC4cOH0b17dyxZsgSpqalQqVRYs2YNAODs2bMA1PO7VcGEj1FjPH36FCYmJi/1hTNixAjo6+tDV1cXX375JSIiIpBRDefIpbHN+vXrB21tbXz22WewKNPudwBmA2gA9Xj+HAA3AP4LvyJsULKSMSQEBw8eBMdxvJ/EjIwMxMfHQ6lUYsSIEejVqxfmzZsHb29vtGvXDsHBwfDz84O/vz+Ki4uRkZGBffv2wdLSEpcvX8bYsWPRrFkzXLhwARs2bICJiQk6deoEXV1dDBs2DAqFAo6OjujUqRPWrFmDTz/9FA4ODti9ezf8/Px4G11dXfHFF1/Ax8cHLi4uLzV8LJfLcfHiRWg3bAhPjoM+gE4ADAE4A9AHcBzALgBWACwAzARQAOAa1PN6U1GysvPSJX7l5IIFC3gR9/X15RfpVEVhYSE+/fRT+Pn54cmTJ0hNTcX27duRk5MDU1NT2NraAgCWL18OZ2dntGzZEgYGBvDx8dGY/8nJyYGfnx+GDh0KqVSKu3fvYty4cdV+Jm8Sqamp5T5frVq1gkwmg0gk4r/0q0JbWxtZWVm4e/cuiAgNGjSApaWlRh49PT00adIEw4YNw8ivv4aOtbX6R07HjoC1tXoBGAD4+ACnTv1T8ORJoFOnCtvNK3FSEBUVheHDh7/0nsRPP/0U5ubmsLa2Rtu2beHp6YkmTZpAV1cXvXv3xvXr11+qvrfrJxGjTjE2NkZqaiqKi4urJX5KpRJz587F3r178eTJE/4XYGpq6gv3dZV6ri+F4zjY6unxm7JiAUwGMK1MGYK6h6Ooot6hAIIzMmBra4vRo0djzZo1SE1NhampKbp3745bt25pfLGeP38eT58+hYuLC0QiEWxsbPgPtVgsRnaJ/8vY2FhcvnwZMtk/M2hnzpyBnZ1dORsmTJiACRMmVGrj3LlzMXfuXP588ODB/Ovt27dXcXeAlZUVth4/DjI3B1fBIqB6AI5WUpZf2mBhASQk8D0+d3d3XL16VSPvtGn/PPlSZ80qlQo7d+7E/v37cevWLcjlcgwfPhxfffWVxnMpzQ+ov4SXLFmCJUuWlLPn+vXr6Ny5M54+fYrOnTsjKCjorevllaWiz9fFixcBADY2NhrOrCujY8eOmDhxIiZMmIC4uDj07t0bgYGBMKhkJfP1/ftRuG4dkJSkvpCX90/UjiZNgIIC4PZtQC4H/v5b3QusAG2OQ30PD/Tv3x/du3fHyZMn+fiL1cHc3Jx/LRKJyp2Xfs6qC+vxMWoMLy8v6Onp4eDBg9XKv3Pnziq92UskEuSW2Zbw+PFj/rWlpSXi4+P5cyJCfJmVXLZQ9/rSyxx5AFq9wKa+uro4Gh0NJycnzJ8/H7/88gvMzMzw+eefv5a3fFtbW3h7eyM9PZ0/srOz+VWG/6ZXjltxcVigr4/cV2lTJAK2b38pry137txB7969IZFIMHz4cJiamuLChQtITU3F6tWrNUSvOqhUKixfvhwtWrTAs2fPsGHDBhw/fvytFj1A/fnS1dXFoUOHqsxX1ecGUA+LX716Fbdu3UJUVBQ/NP38ezA2NhY7ZsyA3mefAYcOqYc7yzp5EAjUW4BOnVL39lq2VLu3qQBZyf9m8uTJmDVrFjp37szvW61Jqvs5YsLHqDEMDQ2xcOFCTJgwAQcPHkRubi6KiooQHByMGTNmlMuflZUFXV1dGBsbIzc3F3PmzNFIb9y4MQ4cOIDc3Fw8ePAAW7Zs4dN8fX1x69YtHDhwAMXFxVizZg0eFxSodyMDGAtgKdQxtAEgA8DeatyDrlKJI7/8gjVr1iA+Ph7R0dHgOA4ffPCBhrf8oqIinD59GocPH8bAgQNfWG/Pnj0RFRWFn3/+GUVFRSgqKkJYWBjulAwbmZub834lawuVSoUvvvgCTZo0waKUFPxkYgKq5IuqQkQitY/PMnvJKiM/Px9fffUVbGxs4Obmhps3b+Lrr79GXl4eTp06BS8vr1e6h+TkZLRu3Rpz5syBvr4+bt++/dYObT6PTCbDggULMH78eOzbtw/Z2dlQqVS4ceOGRpimqj43YWFhuHz5MoqKiiCRSKCnp8dHiXj+PZhT4pJMUPrDJDhYveejLJ06qef2TpyodJhTKhSiU5l5vxkzZmDy5Mnlhq1rAlNTUwgEghd+lpjwMWqUqVOnYuXKlVi8eDE/V7Nu3Tr06tWrXN6hQ4dCoVDA2toabm5uaNmypUb6lClToKOjA3Nzc/j7+2ssfDExMcHevXsxa9YsGBsb4/79+2jdpg3vgqM31PNTAwEYAHgP6qX4VUEAbsjl8O7XD40aNYKLiwumTp2K5ORknDt3Djo6Ovj9998RHBwMExMTjB8/Hj/99BPq16//wueir6+P48ePY9euXbCysoKFhQVmzpyJgoICAMDIkSNx+/ZtyGSyCp/V60BE8PHxgZaWFhYtWsTvm7r78cc40K6d2m1bVT5C9fXVQ1n79gHDhlXZ1rFjx+Dl5QWJRILAwEC0b98esbGx+PvvvzF16tTX6pX98ccfcHZ2xuXLl+Hj44OUlJQa32LyX2fGjBlYuXIlAgICYGZmBnNzc4wZMwbLly9Hq1bq8YyqPjeZmZkYPXo0jIyMoFAoYGxsjOnTpwMo/x50c3PDtGnToJwwAejTRx2c+LnwUHBzA/T01AtePD0rtJkD0Py5bSTz58/HqFGj0KlTJ/z999819nzEYjHmzp2L1q1bV5mP+epkvF2sWqXejfyyUQcA9TDN0aOYfewYAgIC+CFNXV1dpKSkVDoP8l/n0aNHcHJy4jfIl6VFixa4fPq02ifX8uXA/fsgHR3k5uRArKUFrnlzYOZMtW+vSkQrKSkJc+fOxf79+5GdnY2mTZti/vz5GotyXodSt2Xff/8937uvag6U8XoUFxcjKSkJ8fHxuHXrFtbs2YPI6dP50ZSXQU8gwERra3zj5FQLlr4G1d1DwmC8ERQWErVtS6SrW/04c4A6Lt2ECXw106ZNI7FYTEKhkHR0dEggEFCHDh3o+vXrdXhzL8+JEyfIwsKCPvroo3Kx6TiOo8DAQM0C6emkeviQ7AUCCgsNrbRepVJJ69evJxcXF+I4jiwsLGj27NmUk5NTo/bfvXuX6tWrR1paWiSXy+n27ds1Wj9Dk6CgIH7fqJ6eHgEgLS0t+ubOHRKfOaOxP+9Fh/bp09ToyhXKLS6u69sqBxvqZLxdaGsDR4+qV5xVN66ZWAz06weU7AUCgICAAHTu3BlEhOjoaOzevRvJyclo2rQp7OzssHr16mqtoqsrVCoVlixZgsGDB2PIkCH49ddfYWZmpjH5L5VK4e7urlnQ0BCh0dGIUakwZf78cvWGh4eja9eu0NPTw5QpU+Dq6oobN24gKSkJS5Ysgfhl5gyrgIiwZcsWNGnSBFFRUejYsSOSk5PRoEGDGqmfUTFt27aFkZERcnNzkZ+fDy0tLZw8eRLT69fHQgcHiKq5qElPIEADsRinGjeGqGQO8T9FXSsvg1ErFBQQTZtGJJVSYWW9P319IhMTorVriVSqclXk5eVR6HO9ntjYWOrXrx/p6OiQrq4u/e9//6P4+Ph/6aaqR1paGvXs2ZO8vLxo7ty5BICcnZ0pLy+PwsLCSFtbm3R1dUlHR4diYmLKle/SpQsBIG1tbbp06RJlZWXR9OnTydTUlDiOo/r165PJUbEAACAASURBVNMPP/yg4Xmjpu3v06cPiUQiEggEtHbt2lpph1GeBQsWkEAgII7jSCgUkp+fn0b60dRUcr98mcRnzpCwgl6e9OxZkp49S1Pu3/9P9vRKYcLHeLvJzaUF9vb02NKSSC5XD2mamFBeixYUvW4d0St+OJVKJa1YsYKsra2J4zhyd3enAwcO1LDxL8+ePXvI1NSUJk+eTNOmTSMA1KhRIyooKCClUkk+Pj60YMECCg0Npe7du5cTr/j4eNLV1eWHQ0tfy2QyGjNmDKWkpNSq/efOnSMLCwvS1tYmuVxOt27dqtX2GGpu375NCoWCtLS0KDAwkAYOHEg6OjqV/qi7mplJg27dIodLl8jk/HmyvnCB3g8Ppx+TkijvPyx4pTDhY7zVfP/99wSADA0NNa736NGDdHR0KC4u7rXbCAsLI29vbxIIBGRoaEiTJ0+mrKys1673ZdmyZQvp6OgQAGrZsiUBIC8vL95n5fLly6l169ZV+rCcPHky76+x9Fi5cmWt215UVEQLFiwgqVRKHMdR586d3zpfm/9FlEolTZw4kQQCATVr1oyePHlCRESZmZn0559/1rF1tQcTPsZby+HDh0kgEBAAEggEGl+kTZo0IQCkUCjo6dOnNdJeTk4OTZ06lWQyGQkEAmrbti1duXLl9SsuLiYKCSHavJlo1SqirVuJwsP55NzcXBo5ciS5urrywlfa0ysu+fV9+fJlMjU1rXBos6ioiJYuXUp2dnYEgIyNjcnIyIg6dOhAMTExpKpgGLgmiYmJIS8vLzI0NCSBQEBr1qyp1fYYaq5cuULm5uakq6tLW7ZsqWtz/lWY8DHeSs6ePashAlpaWhReIhYqlYqkUil/3cPDo8ZXIx46dIgaNmxIHMeRlZUVBQQEvPycWHIy0aJF6nlIfX31MK2uLpFEoj5cXSll2TLy8vCg//3vf7R69Wpe6AGQUCikmzdvUmZmJjk5OZWLmnHmzBlq164dCYVCEolE1L9/fz4SQps2bah9+/Y19TgqZffu3SSTyUhXV5fkcrlGdA5G7VBUVESDBg0ijuPI29u7TkYn6homfIy3Ek9Pz3JL97/99lsiInr06BEvikKhkDiOo/Xr19eKHQkJCfTRRx/xi0n69OnD97oSExOpadOmFB0dXb7g4cNqcaskhFDpkQVQtr4+Ff/1Fz8fJxAIqGXLlhQYGEjLly+nQYMG0ahRo4iI6MmTJzR27FiSyWTEcRw1btyYdu3aVa75Dz/8kBo3blwrz4SIKDs7m0aMGEFyuZw4jiMfHx82tPkvcOLECZLJZCSRSGj//v11bU6dwYSP8VZSVFREY8aM4UUPAH388cdERHThwgXS0tIiFxcXsrOzo4iIiFofzlMqlbR27Vqys7PjV0b26dOHhEIhKRQKevbs2T+Z9+whEomqvQdRxXGUo6VF73Ec9ezZkzIzM0mpVNKHH35IAMjGxoY2bNhADRo0II7jyNTUlKZOnUoZGRmV2jty5EhydHSslWdx9epVcnFxITMzMxIIBPwPEkbtkZeXRz179iSO48jPz48KCgrq2qQ6hQkf462lV69eZGhoSIGBgZSdnU3Z2dl8WmFhIeXl5ZFUKuWDWL6I6OhoAvDaPZOIiAjq0KED3xsVCATUvHlz9ZfR1avVEr3S4LlFJedKgLLFYqJnz0ilUtGoUaM0hnq1tbWpS5cuFBYWVi0b58yZQ2ZmZq91n89TuhLWyMiIRCIRyeVy+uuvv2q0DUZ59u3bRxKJhGQyGZ08ebKuzflPwISP8dYil8vJ1NS0ytVpIpGItLW1SSKR8MeEMh5cylJTwkek/jLS1tbWGI61srKinI4diTjupYWv1PtMcUAAeXt7a9QrFAopKSmJiIg8PDwIQMXDq2VYt24d6evrv/L9Pf+skpKSqGvXrmRra0scx1GnTp3e+V5HbZORkUHt2rUjjuNoyJAhtbbv8k3k7Y7jwXhnSUxMRFpaGiQSSZVxv/T09ODp6Yng4Be5sK5ZsrKy4OHhARMTE5iamiI3Nxc5Dx5AUDawZwnFqGbgzNxcPJk1C1e0tTUuq1QqBAcHo3nz5sirIAZfRVhbW/MOtF+X4OBgjBgxAtra2khISMCKFSswZcqUGqmbUTFbtmzBhAkTIJPJcOXKFTRv3ryuTfpPwVyWMd5KVq9eDX19fbRo0QI6OjqV5hOJRAgLC+NjAJZFqVRi+vTpMDExgaOjI44e1QzRmpiYCD8/P8jlcjg7O2Pz5s182rBhwzBv3jz+/PTp07CxseHPHz9+jLS0NJw/fx7h4eEYNGgQgj/8ELq6utgOoDWAKQDkAL4EoAQwHYAJAEdUHizWVE8P5xcuhFAoxMyZM9GsWTNER0dj8ODB+PHHHzF06FCN/EePHkWTJk1gYGAAW1tbLFiwAKNGjcLixYtRWFgIjuPg7u4OOzs7mJiY4Ouvv+bLqlQqLFu2DE5OTjA2NsaAAQOQlpYGAGjXrh0Atbd8X19fpKenIycnBxEREUz0apGUlBQ0a9YMn3zyCcaMGYPExEQmehVR111OBqM2cHV1JVdXV5o/f36V+RQKBZmbm1e4jH7jxo1Ur149iouLo6dPn1L79u01hu/atWtH48aNo7y8PLp+/TqZmJjQiRMniIjI39+f5s6dy9cVGhpK1tbW/PmePXsoISGBlEol7dq1i8RiMSW2bEkE0DaAhACtKRnKzAVoI0D1AIoD6ClA7Ssa6gRIJRTSEgMDMjc3p5CQEHJ1daXbt29TcXEx2djYUExMjMZQZ2hoKN28eZOUSiVFRESQmZkZ2djYaAyVuri4UG5uLt24cYN0dHR4R9HffvsteXp6Unx8POXn59Mnn3xCAwcOJCKikJAQAkBubm68g282tFm7BAQEkJaWFtnb29Pdu3fr2pz/NEz4GG8dSqWSBAIBubu70/Hjx6vMW+qmSU9PjwwNDcnQ0JC+//57IiLq0KEDbdy4kc977NgxXvji4uJIIBBQZmYmnz5r1izy9/cnohcL3/N4eHjQQYWCFz7b5wStQ4n4lZ4fq0T4CKDTzZuTQqGgkJAQWrRoEc2aNYuCg4P5LQNlhe95Jk+eTAMHDiSRSMQLX0hICJ/+/vvv06+//kpERPXr1+eFnki9PUNLS4s2btxIMpms8ggQjBolJiaG6tWrR0KhkBYsWFDX5rwRsKFOxlvHr7/+CqFQiOjo6HLBbSti3rx5aNOmDdLT05Geno7Ro0cDUA9l2tra8vkUCgX/OjExEXK5HPplAmwqFAokJCRUy8affvoJjRs3hkwmg0wmQ2RkJFLLeL63fS5/4nPXFKgYFYA2ZSKkDxkyBDt37sT27dvLDXMCwOXLl9GhQweYmprC0NAQmzZtgpaWlkYsvfbt2/OvxWIxsrOzAQCxsbHo3bs3fw/169eHSqXiI9QD6mgO06ZNq8YTYbwKc+bMgaOjI7S0tBATE4Mvv/yyrk16I2DCx3jr2LJlCxwcHFC/fn0NYaqMxo0b488//0ROTo7GdUtLS8THx/PncXFx/GsrKyukpaUhKytLI93a2hoAIJFIkFsmGO7jx4/517GxsRg9ejTWrVuHp0+fIj09He+99x4KDAxQGujon+BBJbYAiC9zHodKEIkgtLPjTxUKBRwcHBAUFIQ+ffqUy/7xxx/Dz88P8fHxyMjIwNixY0FEWL16dWUt8Nja2iI4OBi//vormjRpAplMBi8vL8TGxqJhw4YAgEaNGr2wHsbLExkZCTs7OwQGBuLbb79FZGSkxhwyo2qY8DHeOq5cuQInJye0bdu2WvklEgmaNm2KM2fOaFwfMGAA1qxZg0ePHuHZs2dYtmwZn2Zra4tWrVph9uzZyM/Px82bN7FlyxYMGjQIgFpMg4KCkJaWhsePH2PVqlV82ZycHHAcB1NTUwDAtm3b8Ndff2HL/fsormQhzgAAawA8AvAMwLIKcwECIih794ZKpUJSUhKuXr2KUaNGISgoCBKJpFz+rKwsyOVy6Onp4cqVK9i5cyeys4H1682hr78dADBsGLBhA5CZqVl27NixmDNnDgYOHIjTp08jNzcXFy9exPLly3Hy5EkIBAI8fPiwEksZr4JKpcLYsWPRqFEjWFpa4vHjx5g0aVJdm/XmUddjrQxGTRIZGUkAqGvXrrR3794X5lcoFKSnp0c6Ojr8fr5evXoRkdr7y2effUZyuZzs7e1p3bp1Gotb4uPjydfXl4yMjMjR0VFjPjAvL48GDBhA+vr61LBhQ1q5cqXGHN+cOXPIyMiIjI2NqU2bNqStrU1TPvuMyMaGtgHU+rl5uyKAPgNIDpA9QOsqmONTCQRU1K8f76lGV1eXDAwMCACdOXOGvyeUmePbu3cv2dnZkVQqpRYtfMnScgIJBINIW5sIiC6Z5ysisVjtPc3c3JsWLdpMRER///03mZqaaiyE6dmzJ3+P8+fPJxMTEzI0NKRLly693j+WQRcvXiRTU1PS09OjH3/8sa7NeaNhwsd4qxg1ahRZWVmRTCbjN21Xh2vXrpGrq2stWlae9PR06tWrF3l6elJcXBypVCqKGD2acqrpqqzcIRYThYfTwoULNTbHy2QyKiwsrNQOpZJoyhR18Rc1IRSq833++RkyNTXVWAQDgExNTdlG6RqmqKiI/ve///Eb/2vaofq7CBM+xluFjY0N9erVi5ydnV+qnFKpJDMzM/r7779ryTJNIiIiSKFQUIsWLahnz57k6OhIHMeRAKC/nZ0p91VEb+FCvv7x48eTWCwmHR0dUigUZGdnR0uXLqUnT56Qm5ubRmT5iROrJ3plD47LJQ+PmQSARCIRtWnThmbMmEGHDh2q0O9pbGwsSSQSPkwSo3oEBweTgYEBSaVS+v333+vanLcGJnyMt4acnBziOI7mzJlDw4YNe+nyQ4YMoQ0bNtSCZZr8+OOPZGJiQrNnz9boLQEgAwMD0gaoIceR8gWRGTREb8YMojKCU1xcTD4+PqSjo0NpaWkUHh5Ow4cPJ5lMRv7+/nycwN271UEg/qnOv8SWQ881M7nk+jb+mkCQQydPVrxfrHQ7BePVyMvLo27duhHHcdSnTx+2B7KGYYtbGG8N3333HUQiEaKjo6u9sKUs3bp1w7Fjx2rBMjX5+fkYO3Ysvv76a5w+fRqLFy+GUCjUyJOZmQnS0oJO06YQzJ8PyOVABStTVRyHPIEA5OQEbN0KLF8OcP+sBRUKhTh48CBCQ0NhZGSEZs2a4fvvv8eDBw/g7u6OAQMGwNPTE1OmpOO5xawAXAH8WOa8GMBeAE4aubS1RTh1qt7rPBJGBezevRtyuRxXrlzBmTNnsH///iq9DzFegbpWXgajpmjWrBl5e3uTra0t3bt376XLp6SkkIGBQa38uo6OjqbmzZtTv379KCMjg6KiosjS0rJcj4/jOBo7diy1bt1aXbCoiBK2bKE+JiZkIhCQvUBAgYaG9LuuLqUcOkQLvviC+vfvT0OGDCGpVEpubm4aERgUCgUtW7aMGjZsSDo6OlRUVEQKhYL++OMPWrHiDAkEec/17PwJmEaAOQFpJdcOE9CNgNZlenwPCOhAHCcnY2Nj+vjjj/nQSoMHDyaO40hPT48kEgktX768nNPqbdu2kYODA0mlUrK3t6cdO3YQEdH9+/epXbt2ZGBgQMbGxjRgwAD+Xu7cuUM+Pj5kZGRErq6utHv37hr/P9Ulz549o1atWhHHcTRixAg2V1qLMOFjvDXo6OhQYGAgmZmZvXJ8vebNm2vMf9UEwcHBZG5uTitWrCCVSkUBAQEkFAqpWbNmZGdnpxE0V19fn7Zs2cILn1KppKZNm9JXX31FBQUFdO3aNdLS0qIvv/ySiIgWLFhAurq6dPToUSouLqZZs2aRp6cn37ZCoSAPDw+Ki4uj3Nxc/lpISAgNHUokEDw/cupPwFwCRhOwoeRafwJ2Pid89wk4TlJpPm3fnkJt27alyZMna7RbdqizrPBlZ2eTvr4+71YrMTGRdxk3cOBAWrx4MSmVSsrLy6Nz584RkTpwrY2NDW3dupWKioro6tWrZGxs/NZEbN+4cSPp6OiQpaUlXb9+va7NeethQ52Mt4LTp0+juLgYJiYmaNOmDTju+S3g1aMmhzuVSiW+/PJLjBo1Cnv37sUnn3wCT09PzJo1C4sXL0Z4eDjS0tJw+fJl3t6CggJMnDiRryMsLAxPnjzBF198AW1tbSxduhTNmzdHTEwMn6dNmzbo0aMHhEIhhgwZgoiICA07Jk2aBFtbW4hEIo3rkZGASoVKGArgJwAZAM4A6PVcujOAzigo0EVKiimmTp1abh9kVQgEAkRGRiIvLw+WlpZwd3cHAGhrayM2NhaJiYnQ09NDmzZtAABHjhyBvb09hg8fDi0tLTRt2hR9+/bFvn37qt3mf5HHjx/Dw8MDEyZMwKRJk5CYmIjGjRvXtVlvPUz4GG8F69atg6OjIy5dusR/Wb4KXbt2xR9//PHa9qSmpsLX1xenT59GeHg4srOzYW5ujri4ONy6dQuzZs3CsGHDkJ2dDWtrazx9+hSPHz/GkydPsGHDBr6eUhGQyWSQSCTYv38/IiMjkZyczOexsLDgX4vFYuTn56O4uJi/VtbtWllKPI9VQhsATwAsBtATgOi59BQAA1FUZI158wwwePBgpKamVuvZSCQS7N69G5s2bYKlpSV8fX1x9+5dAEBAQACICC1atIC7uzu2bt3KP4fLly/z7tFkMhl++eUXDY84bxpLly6FjY0NcnJyEBUVhW+++aauTXpnYMLHeCs4ffo0/Pz8cP78+Vda2FJKy5YtERMT81pfqGFhYWjevDk8PDxw/PhxzJw5E76+vvDz80NiYiLq16+Pjz76CD/99BO0tbWxfv16GBkZwdzcHAYGBhp12drawsHBAX/++SfEYjH++usvZGVlISgoqNr2VNb7lUpfVHIwgBVQ9/6eZzYADlpaN/H115nYsWOHRminF/W4u3btipCQECQlJaF+/fq8f1QLCwts3rwZiYmJ+O677zB+/Hg8ePAAtra28Pb25v2ppqenIzs7Gxs3bnzRTfzn+Pvvv+Hi4oL58+fjq6++woMHD+Dk5PTigowagwkf440nOTkZT58+hb+/P+Li4l5rqEhLSwudOnXC8ePHX7osEWHTpk3w9fXFt99+i08++QQODg7Ys2cPDh48iF9//RUCgQB9+/bF7t270bhxY1haWlboSqyUFi1aQF9fHx07dsSCBQtQr149REZGIiws7JXvsZSGDQGhkKrIMQlACIB2FaRlAZBCT08GY+OEcr0Vc3PzSt2VJScn4/fff0dOTg50dXUhlUr51a179+7Fo0ePAABGRkbgOA5CoRA9e/ZEVFQUfv75ZxQVFaGoqAhhYWG4c+fOS993XfL555/D1dUVYrEYcXFxmDt3bl2b9E7ChI/xxrNmzRoYGRkhNjYWnp6e0NKqVrzySnmV4c7c3Fz4+/tjw4YNuHDhAqKjo1GvXj1YWFggOTmZj3bg5+eH3377DZ6enrhw4cILe0ZCoRDNmjWDUCjE119/DRMTE4waNQoZGRmvfH8AcOPGDaSkzINSmVtFLjmATijvMhsAFgC4huxsQ6xa5VvOAfbs2bOxePFiyGQyBAYGaqSpVCqsWLECVlZWkMvlOHPmDD+8GxYWBk9PT0ilUvj5+WH16tVwcHCAvr4+jh8/jl27dsHKygoWFhaYOXNmjUWJr20iIiJgbW2NNWvWYO3atYiIiICVlVVdm/XuUseLaxiM16Z+/frk5+dHM2bM4Fc7vg6xsbFkbGxcbS8jUVFR1LBhQxoyZAglJydTy5YtSSAQ0OLFizXyde7cmTiOI29vb8rPz69W3UePHiVbW1t6+vTpS9/H88TFxdGiRYvI0dGR3nvvPerSpQsJhXdeyTsaQKSrS/SCOL/vPEqlkkaOHEkcx1GrVq34LR+MuoUJH+ONpjTobFBQEHl5eWkERn0d3NzceO8mVXHgwAEyNTWlTZs20R9//EFisZjMzMz4KOWltG/fnjiOoy5dulTpN7MsSUlJZGFhQadPn36leyAiys/Ppz179lC3bt3IyMiIxo4dS7/88gu999575OLiQhYWE4jjcl9J+KRSosTEVzbtraO4uJiePHnCn587d46MjY1JJBLxwXsZ/w2Y8DHeaHbt2kVaWlqUnZ1NYrGYsrOza6TeKVOm0MIyvi+fp6ioiD7//HOys7OjP//8k4YNG0Ycx1H//v01Nh4rlUry8vIijuPIz8+v2r1IpVJJnTt3pvmv2KWKiIigyZMnk4mJCXXo0IF+/vln+vbbb0lXV5cAkFA9uUfm5ub06adFL+2rUyQiekFw+zeazKIiWv/oEfWPjKQO16+Tb0QETbx3j65lZlZaZubMmWRiYkKpqanUt29f4jiOunXrxpxK/wdhwsd4o/Hx8SEPDw86ffo0vf/++zVW77Fjx/7xnvIcSUlJ1K5dO+rSpQuFhYWRtbU16enp0cGDBzXyKZVKat68OXEcRwMGDHgpTxwBAQHUqlUr3tNJdXj27Blt2LCBmjdvTjY2NjRv3jze6XZmZib5+flpeInR1tammJgYUqnUrj41fXZWfGhpqfMFB1fbrDeKB7m5NOLOHRKdOUOSM2cIoaH8IQgNJfGZM+R++TLtePxYw0nCw4cPSSQSkZaWFmlpaZGBgQEFBQXV4Z0wqoIjKrMGmcF4w9DX18ecOXOgUqmQlpaGFStW1Ei9+fn5MDU1RVxcHIyMjPjr586dw8CBAzF69GgYGBhgxowZaNiwIUJDQyGTyfh8KpUKTZs2xc2bNzF06FBs27at2pvqw8PD0aNHD1y5cgX29vZV5lWpVDhz5gy2bNmCI0eOoEuXLhgxYgQ6d+7Mr5QMDw/HRx99BGNjY1y5cgUAoKOjg3HjxuHbb7/l6zp5Eli6FLhwQb2xvbDwn3YkErX0DR4MfP454OxcrVt5ozj17Bk+/Osv5KlUUL4gr0QgQFe5HDvd3KArEKBjx44IDQ0FoN6cf/z4cXTq1Kn2jWa8GnWtvAzGq3Lnzh0CQBkZGdStWzc6cOBAjdbfrVs3PpitSqWiFStWkJmZGR04cIC8vLxIIBDQokWLypVTKpXUoEED4jiOxo0b91Lu0zIzM8nZ2fmFfijLLlRp2LAhrVq1SmN+qdSOgIAAMjY2JgcHBxIIBDR//nxq3LgxSSSSShdaxMaqIxwNGULUqxfRyJFE331HlJVV7dt44zj37BmJn+vhvegQnTlDPSMiaP4XX2j0pHV0dKhFixbl2tixYwd17ty5Wvb4+/vT3Llza/o2GSUw4WO8sYwZM4YsLS2puLiYDAwMKDk5uUbrX7VqFY0aNYoyMjKob9++1KxZM9qxYwdJJBIyNTWt0E9kUVERubi4EMdxNG3atJduc+jQoTRixIgK00oXqnTt2pXkcjmNGzeOwsLCKhTWxMRE8vHxIRcXF9LR0SFra2veN2ZCQgKdP3/+pW37N1AoFLxz69JjwoQJtdpmelERGZw9qylsixYRnJwIYjHBwIDQpAnh11/LiZ9WSAjpDB1K9evXp6VLlxIA2rlzJ6WkpLyWTUz4apfX2/DEYNQhQUFB6Ny5M/766y9YWlrCzMysRuvv1q0bli5dirNnz8Lb2xsSiQRDhgzhN6ALBJrbYIuLi+Hq6oqYmBjMmTMHixcvfqn2du7cicuXL+Pq1asa12/evImtW7fil19+QcOGDTFy5EgcOHAAYrG4wnqOHDmCkSNHQiKRICYmBmPGjMH69et5e62srP7Te8gOHz4MHx+ff629nx4/RnHZGZ+EBGDZMuCrr4CmTYG8PCAsTCPsUynFWlqQjxqFyO3bIeQ4zJ49G++//z5MTU3/NfsZLw/bwM54I8nPz8ejR48wefJknDt37rX8c1ZGeHg4njx5gp49eyI4OBi7d+/Gvn37sHfv3nKiV1hYCEdHR8TExODrr79+adF7+PAhJk+ejF9//RUSiQTp6enYuHEj3n//ffj6+sLAwACXL1/GqVOnMGjQoApFLz8/H5MmTcKIESOQlZWF9PR0XLp0CRs3bixn75uIUqnEtGnTYGJiAgcHB6xbtw4cx/F+SRMTE+Hn5we5XA5nZ2ds3ryZL/vll19iwIABGDp0KPT19eHu7o7w8HAQEb6Jj0duWW/dDx4AFhZAs2ZqsROLAW9vwNy81BBgxw5g0CCgRw+kjxqFH2/e5IufOHECLi4uMDIywoQJE3hXbtu3b9d4n969exedO3eGXC5HvXr1sGfPnkrv/ciRI2jcuDFkMhlatWqFm2XaY7wCdd3lZDBehTVr1pBIJCIiogEDBtD27dtrrO6CggKaOHEiOTs7k4eHB3EcRx4eHpSWllZh/ry8PLK0tCSO4+jbb7996fYKCwupRYsWFBgYSCdPnqRBgwaRoaEh9e/fn/74449qbYG4desWvffee2Rra0scx1Hfvn1fakXof4WqIrdv3LiRGjRoQPHx8ZSWlkadOnXSiPHXrl07GjduHOXl5dH169fJxMSE39dZWfimC+npJH1+mPOXXwja2oR+/QgrVxKCgjTTx4whODgQfvyRcOoUYfNmal0SygoA+fr60rNnzyg2NpZMTEwouGQJ7LZt2/iVwi8Ks1R2qPPq1atkampKf/75JxUXF9P27dtJoVBU2wkCozxM+BhvJC1atKA2bdqQSqUiKysrevDgQY3UGxcXR56enuTr60uenp7EcRw5OjpWmj8nJ4fMzMyI4zjatGnTK7U5YcIEcnFxIQcHh0oXqlSGSqWiTZs2kaGhIUmlUhKLxXT06NFXsuO/gEKhIIlEQoaGhvzx/fffExFRhw4dNJ5xSEgIL3xxcXEkEAgos8w+u1mzZpG/vz8RqYWvU6dOfNqtW7dIT0+PfkpKImlFi1rWryd4exMMDdUi2LXrPwJoa6ueAyyT3+biRSJSC19pDEEiov79+9PSpUuJSFP4du3aRW3a7nCTXAAAIABJREFUtNG4908++YT3PFRW+MaOHUvz5s3TyOvq6vpajg3eddgcH+ONJCIiAuvXr0d0dDRUKhUcHR1fu84TJ05gyJAh+OCDD7Bz506IxWJcvHgRnTt3Rm5ubrnhxezsbNjb2yMtLQ3bt2/H0KEVRTGomIKCAhw6dAiBgYEIDw+Hv78/JkyYgGbNmlV728PTp08xevRonDt3DpmZmfD29sbRo0crnft7Uzh48GCFc3yJiYkaIZbKvk5MTIRcLoe+vj5/TaFQIDw8nD+vKHxTekFBxVsX3NyAL79Uv757F1i4UD28OXo0kJICWFtrZM9V/lPL8+1kVxD/qWyYpVKKi4sxZMiQCvP++OOPWLt2LX+tsLAQiYmJFVnOqAZM+BhvHOfPn0dhYSH8/f2xc+fO1wo8C6j3wi1duhTr1q1D06ZN8cMPP6B37978XN7/2bvvuKrq/4Hjr3vZS6YCIoImBe5Vbs3tT8W0TA1HOLNwpkalZmau1DR3Gmqao6gUcY/cojnAmbgRMVAUEJBxuff9+wO9X3GCUmp+no/Hfcg953M+53OOPnj72VWrVmXHjh383//9n/GalJQUvL29uXnzJitWrKBDhw75utfRo0cJCQlh2bJl+Pn5cfbsWcLCwvD39y9Qmbdv305AQABpaWlkZmaycOFC3n///QLl8aJxd3c37twAEBsba/y5ePHi3Lhxg9TUVGPwu3TpEh73BKh7/X32LAaA23MeH8jXF+rVgwsXcr8XK5Y7AKZUKWMSm0dd/wB3tlnavHlzvtIOHz5c7eRQiF78Hm/lpTNjxgxKlSqFqakpu3bteqr995KSkow7Jmi1WrZu3UpoaCi//fabcUBIixYt8uzWcOPGDUqWLMnNmzdZtWrVY4PenYEq1atXp1WrVtjb27Nv3z4cHBzo2bNngYKeTqdjxIgRtGnThoSEBEqXLs2VK1f+80EPoEOHDnz33XfExcWRnJzMxIkTjec8PT2pXbs2n332GZmZmcb/YHTu3BmAjIwM4uPjmTRpEu+99x4NGzYEIGzmTPT3ruFx7BisWQNJSbnfL12CvXtza4EALVvCwoVw+XLurP5z5yhz92z/fCjINku9e/dm7ty57N+/HxEhPT2dtWvXkpqaWqB7Knd51m2tilJQRYsWlUGDBolI7s4Mhw8ffqJ8Dh06JKVKlZKGDRuKiYmJVKhQ4YG7IBw6dEheffVVERG5du2a2NrailarlU2PWKxSr9c/cqDKzJkzpVq1apKVlZXv8p4/f16qVq0qtra2YmJiIhMmTCjgEz//HjSPr23btiKSO0dy0KBB4uTkJN7e3vLtt9+KqampcR5jbGystGrVShwcHMTNzU3atGkj77zzjnh7e4u5ubkULVpUBg4cKD/++KNs2LBBAMnOzpYyERF5+/cWLBBq1RIcHQVLS8HVVejUSdi8Off8li1Cjx6Cm5tgZSVaX19ZevSoiOT28Z05c8b4PHf31d3dxycicurUKWnZsqW4uLiIk5OTNGzYUCIjI++7TkRk/fr1Ur16dbG3txc3Nzdp3759nv5MpWDUkmXKCyUxMZGiRYty8eJFrK2tKVOmDNevXy/wHnwhISEEBwdTtGhRTp8+zciRI/nyTp/OPQwGA+7u7oSHh9OwYUMyMzPZtm0b9evfv0FrbGwsixYtYuHChdjZ2dGzZ08CAgJwcXExpjl69CiNGzdm7969+Pj45Ku8y5Yt44MPPiAjIwNPT0+2bdv22OXM/uvWrVtHnz59mDNnDocPH+bQoUMcPnyY9PR0qlatmufj4+Pz0Ckd869cYfDZs6TfPaWhANzNzblcqxbap2huV/5dqo9PeaFMnz4de3t7vLy8WLVqFTVr1ixQ0MvIyCAoKIht27aRkZFBYmIikZGRVKxY8aHXaLVa6tWrR506dRAR9u7dS40aNYzn7wxUWbBgAQcOHKBjx46EhoZStWrV+/oeb926xXvvvcfkyZPzFfRSU1Pp27cvK1euJDMzk8GDBxfaeqQvEhEhOjqaJUuWICLs27ePXbt2YWpqyqxZs6hatSrdunVj2rRplCpVqkB9vgGurnx2/vwTBT4brZYvvLxU0HvBqMCnvFB+++034yTg3bt3F6h/79y5c7zzzjukpaURExPDW2+9RWho6GMDZ0xMDGFhYej1eg4dOkSVKlWAvANVKlasSI8ePVi5ciVWVlYPzWvIkCFUqlQpXyNADxw4wFtvvcXVq1dxdHRk7969VK5cOd/P+6IyGAycO3eOw4cP56nJWVhYkJGRQUZGBlZWVrRr14758+djb2//VPezMTFha+XK1D18mLQCBD9rrZZ3ihblg+d4FRzlwVTgU14YBoOB6Oho46CG3bt3M2HChHxdGx4eTmBgoHFwQH5HYp47dw4/Pz8AbG1t8fDwYM6cOYSEhJCQkED37t3Zv39/vqZT/P7772zcuJHIyMhH1kgMBgMTJkxg9OjR6HQ6AgICWLx48X9i9ZV76fV6oqOj8wS4qKgoHB0djc2UQ4YMoUqVKnmmCRS2Sra2bKtcmWZHj3JLryfrMT1ANlotXV1dmfnqq081olh5NlQfn/LcO3XqFIGBgZQqVYrQ0FCysrLIzMykWLFiXLt27ZHz1nJycvjiiy+YM2cOqamp+Pn5sW3btjx9bg8THR1NhQoVAPjhhx8YPHgwWVlZtGrVih49etCkSRPj1j+PExsbS/Xq1QkLC6NmzZoPTXflyhXeeustIiMjsbS0JCws7D+zvY1Op+PkyZN5gtzRo0dxd3c3Brlq1apRpUoVnJ2dn0kZ47OymBkXx6y4OPRA6l3z88w1GrQaDbWKFCG4ZEmaOzk9kzIqT08FPuW5d+bMGcqVK0dOTg4ajQYHBwcGDx7M2rVriYiIeOh1V69epUOHDhw5coSUlBQ+++wzxo4dm697njhxgkqVKgG5c8QcHR1xc3PDz8+PadOmFaj8er2eRo0a0bx5cz7//POHpgsLC6NTp05kZmbStGlTwsPDsbCwKNC9nheZmZkcP37cGOAOHz7MiRMn8Pb2Nga4qlWrUrly5aduqvwn6AwGwhIT2ZOSwlWdDhsTE7wtLQkoVgzvRzRlKy8G1dSpPPdKly6NRqNBcpfYQ6fTcfXq1Uf27+3du5e2bduSkpKCra0thw8fzlf/WFZWFt999x3BwcEAdO3alYEDB1K1alX27NnDgAEDClz+cePGodVqjXneKyMjg169ehl3fFixYgUdO3Ys8H2elfT0dI4ePZonyJ0+fRofHx9jgHv//fepWLEitra2z7q4+WKm1dK+WDHaF/KOH8pz4tnMolCUgilVqpQAYm1tLQcOHJCmTZtKWFiYiOTOmbszl8tgMMh3330nlpaWotFopE2bNvlarPnIkSMyYMAAcXBwEEAsLCzk4sWLedLodDpxcHCQ+Pj4fJd7z5494urqKpcvX37g+ePHj0vRokUFkCpVqjx0c9jnRUpKiuzYsUO+/fZb6dKli5QtW1asrKykWrVq0qdPH5k7d678+eefkpGR8ayLqigPpQKf8kLw8fERQLZt2yY6nU7s7OwkMTFRRHJ3Sq9YsaLcvHlT/P39xdzcXMzMzGTFihWPzDMpKUlmzZol1apVkxIlSkhgYKAAUqRIEWPe93r77bdl8eLF+SpzUlKSeHt7y6pVq+47ZzAYZNy4caLVakWr1cq0adPylee/6fr167J582aZOHGidOzYUXx8fMTGxkZq1aolQUFBEhISIpGRkQWahK8ozwPVx6c8fw4cgAUL4OLF3E1AXVyYdPgwp6pVIyQ0lEOHDtGtWzdOnDhBdHQ0ZcuWxWAwYGFhQXZ2Nq+99hq7du164AAWg8HA9u3bCQkJYe3atTRv3pwePXpgZmZGkyZNcHBw4MKFCw/td5o/fz7bt29n6dKlj3wEEaFTp064uLgwa9asPOeuX79Oo0aNOHr0KN7e3uzatYsSJUo88esqDAkJCcZmyjuf69evU6VKlTwTwV977bUCLxagKM+dZxx4FSWXXi+yaJHIa6+JWFuLaLUiuSshioCkgegtLUW6d5eFI0ZInz59RESkefPmAhg/d5a3uldMTIyMHj1avL29pWLFivLdd98Za3WbNm0SjUYjLi4uj10G6s4ea3q9/pHpQkJCpHz58nLr1i2Jj4+X4cOHi16vl9WrV4uZmZloNBr55JNPnuBFPR2DwSCxsbESFhYmo0aNEn9/f/Hw8BBHR0dp3LixDBs2TJYvXy7R0dGPfUZFeVGpGp/y7GVmwrvvwrZtkJ7+6LQmJmQAuz/5BO/u3Xn11VfznNZqtWRmZmJmZvbAFVV69uyZZ0WVtWvX4u/vj6urK+fOnXvslj6pqeDjMxpHx6Gkp9ug14O9Pfzf/0G/frkL9kdHR1O3bl22b99OuXLleP/991myZAnly5fn2LFjODk5sXPnTsqVK/c0b+2xRISLFy/eV5MTEeOgkzsfb29vNR9NeXk827irPKkWLVoU6q7jz0xOjkjz5iJWVnlqeI/76C0tpdvtfj9ATE1NRaPRiEajkdmzZ8uAAQPExcVFGjVqJEuXLpVbt27dd+vffvtNAPH09HzsbtbXr4v07JlbTFPTzPuKZG4uYmkpUq+eXl599T2ZM2eOiIicPHlSLCwsjOVs1arVA2tSO3fuNC6E/ST0er1ER0fL8uXLZdiwYdK4cWNxdHQUDw8P8ff3l1GjRklYWJhcvnzZOBBIUV5WKvA9x+5eqb5YsWISGBgoqampz7pYeZw/f140Go18+OGHT5bB11/nNm0WIOjd+aRotTJrwgQ5duyYuLi45AmCI0eOlPPnzz/0tsuXLxdASpcunWdwRoMGDcTCwkJsbGzE2dlZ2rVrJ/v3XxFPz9zglp+imZhkyKpVucHFy8vLWC6NRiN+fn7GHRqelE6nk+PHj8vixYtl0KBBUr9+fbGzsxNvb295++235euvv5Z169YVaPSporxMVOB7jnl5ecnmzZtFROTy5ctSrlw5CQ4Ofqo8HzS0Pz/D/R/myy+/FCcnJ3F0dHxsrek+2dkiDg55osYHIF/lM/AZrK0la9o0sbW1zdPPp9VqHzktYNGiRQLIa6+9dt+zN2jQQObPny8iuaMy33yzqVhZBdzb5fjYj5WVQUqU6Gosk42Njfj5+UlAQECBRkFmZWXJgQMHJCQkRIKCgqRmzZpiY2MjPj4+0rFjR5k4caJs2bLlgdspPc62bdvEw8OjwNcpyotOBb7n2N2BT0Rk6NCh0qpVKxHJ+wtaJHcwha+vrzg4OEizZs3yzEEDZObMmVKmTBnx9vZ+6LG//vpLmjRpIo6OjvLqq6/Kzz///Ngyli5dWmbPni3FihWT0NBQ4/ELFy4IkCewODo6SuvWrUVEJCcnRz729xdnjUaKgdjdDhC625HDC2TzXZFkFEjn2z9n3P7ZCcReoxFnZ2cJCAiQV155xRhorKysJCgo6L7ncnV1FUDKly//wCbHGjVq5Cl3+fKzBMreFdT0AuMFSgs4CbwrcP32uQu3779IwFPASVq08DcG4czMTGnevLlYW1uLu7u7DBw40PifhW3btknx4sXlzz//lLlz54qtra14eHiIRqMRQCwtLcXc3Fzc3d0lICBA/vrrr8f+3TyOCnzKy0oFvufY3YHv0qVLUrZsWRkxYoSI5A18K1eulFdeeUVOnjwpOp1OxowZI7Vq1TLmA0iTJk3k+vXrxr6ue4+lpaVJiRIlZMGCBaLT6eTQoUPi7Owsx48ff2j5du7cKebm5nLjxg3p16+f+Pv7G889KPD5+fmJs7OzGAwGmTNnjvhZWUksiD9IyQIEvrkgrUHSQXJsbOTgokWSkpJy33sRkTzPNWXKFAHExMREjt7eOPRedwe+Y8cSRaNpLNDmrsA3VaCGQKxApkAfgU73BL5eArfEyipSTE3N5eTJk5KZmSmVK1cWjUYj5ubmcv78eSlfvrw0b95cAgMDpXTp0gJIpUqVpHv37uLk5CSlS5cWDw8P6dChg5w9e1YMBoMkJSXJggULZPr06QX6t/QgKvApLysV+J5jXl5eYmNjI/b29lKyZEn58MMPjYHr7l/wLVq0kB9++MF4nV6vFysrK2OtD5CtW7fmyfveYytWrJC6devmSdOnTx/58ssvH1q+nj17yltvvSUiInv37hVTU1NJSEgQkQcHvnr16omlpaXs2LFDGjZsKHOLFJEbIBa3gxkgXUGG3w58k0E8bv9pDWIJsgAkBKQWyH6Qj83MpKSLixQpUkTq1Kkj9erVk/nz50tERITUqlVLrKysxNraWvr06SOA1K5dW9zd3aV+/fpSu3ZtsbW1laZNm8q1a9dERPIMRMn9+AjE3BX4ygiY3VXLuyJgerv2d/r2NbVuf3cWrdZJxowZY1x55u7+Pq1WK6ampjJz5kyZO3euFC9ePM/ffatWraRixYqPnVYQFhYmZcuWFXt7e2nQoIGcPHnSeO7QoUNSuXJlsbW1lfbt20uHDh2MO3vfCXyTJ0+WokWLipubmyxYsOCR91KU/4L/3j4n/zGrVq0iOTmZmJgYZs+e/cC93mJiYhg4cCAODg44ODjg5OSEiBAXF2dM4+nped91dx+LiYlh//79xjwcHBxYunQp8fHxXLp0CVtbW+MHcteXDA0NpXPnzgDUqlWLkiVLsmzZsoc+i1arpXr16ixevJgrV67gqdfzC+ALvPmQa+KBFOBjoCYQBLQGmgMtgJk6HS3LliUhIYFvvvkGgKSkJFq1asWIESMYNWoUmZmZzJs3DxMTE06cOEFCQgKRkZEsXLiQq1evkp2dzeTJkwGM63nqdDqcnY8CWcDlu0oUBxiAEoAD4EduLGsJmN1O8wVwBfgLg0HP+PHfceHCBWMOGo2GadOmsWfPHnJycjAxMeG11167bzrBuXPnaNeu3SO3Izp9+jTvvfce06ZN49q1a7Rs2RJ/f3+ys7PJzs6mXbt2BAYGcuPGDd577z1WrlyZ9/3Gx5OSkkJcXBwhISEEBQWRlJT00Pspyn+BCnz/AZ6ennz//fckJycbPxkZGdSuXduY5kFztO4+5unpSYMGDfLkkZaWxpw5cyhZsiRpaWnGD8DKlSu5efMmH330EW5ubri5uREXF8fixYsBsLGxAXJ3HL8jPj6e2rVrExoaiqurK5dNTVkMvA/E3lM2GyCT3FDyBXAN8ABsgfPASCADWGlpyY5z51i6dCm1a9fGxMSEffv20bJlS1q2bElERAQGgwEXFxdCQkJITk6mXr16fPLJJ7z66qtYWVnRoUMHoqKi7ns/N29WAEaQG27lzpsChpIbhpOBJMAd6H3XlU0AC6AoWm0JbGysOHPmDC4uLpiamqLVaklOTubmzZsUKVLkgfcGSElJybMH3erVq3FwcMDOzo5mzZoB8PPPP9OqVSuaNm2KmZkZQ4cOJSMjg71797Jv3z5ycnIYMGAAZmZmvP3227zxxht57mFmZsYXX3yBmZkZLVu2xNbWlujo6AeWR1H+K1Tg+w/o27cv48eP58SJE0DuL8zQ0NAC5dG6dWtOnz7NkiVL0Ol06HQ6Dhw4wF9//fXA9D/++CM9evTg2LFjREVFERUVxZ49e4iKiuLYsWMULVoUDw8PfvrpJ/R6PQsWLODcuXP4+PhQtGhRypQpw+TsbP4EWgET78m/MvAH4AREAb/ePm4N7AZ2khsYy2s0mFlbG/fFc3V15cKFC4SGhhr3swO4efMmly9fRqfTcfPmTeSudRusra2NAf0OEcjJgdywfBVYfedt3y7BXnJrdatvl+TunSICyA3TRTAY/iIjI40yZcrwwQcfYGJiwk8//cQHH3zAV199RaVKle679x1FihTh77//Nn5v06YNycnJTJ06lezsbCB3/z4vLy9jGq1Wi6enJ3FxcVy5cgUPD4/7/oNzN2dn5zxLkD3oXSjKf40KfP8B7dq1Izg4mE6dOlGkSBHKly/P+vXrC5SHnZ0dmzZtYsWKFRQvXhw3NzeCg4PJysq6L21cXBxbt25l0KBBxtqem5sb1apVo0WLFvz4449A7rqWkyZNwtnZmRMnThhroN26dSMuLg5nLy805DZbtiR3j6w7v6LHkBtW/gZGkRtK7rgBfHD75ypZWTRo0YIuXboAMHDgQC5duoROpyMrK4v33nuPU6dO0aRJE6ZNm4abmxsXLlxAp9M98n1oNGBpCWAODLhdIoCBwNu3S1sa6AqUuavk3P75KHATrfZOUyiMGDECc3NzgoKCqFy5MlWrVqV+/foPLUOVKlVYtWoVBoPhoWmKFy9OTEyM8buIEBsbi4eHB+7u7sTFxeUJ8rGx99atFeUl9Gy7GJWX0YULF8TMzEw8PDzklyJFREDW3R7Z+f7twS0Csu324Ja7J8jdPdrzIzMzaeTnJ3FxcZKTkyN79+6VzMxM6dixowDSrFkzycnJkYyMDNm2bZvExsaKyP0jPxcuXCh16tQREZH09HTRarUSHR0tNWo8aq7eCoEqAs4CUXcdf/f2qM4cgcui0dQWd/f/jZy8d4rKqFGjpHPnzg98T9euXRNPT08JCAgwjuq8efOmBAUFSYMGDURE5NSpU2JtbS1btmyR7OxsmTRpkpQqVUqysrIkKytLPD09Zfr06aLT6WTVqlViZmZ23+CWu91bPkX5L1I1PuVf5+3tTY0aNUhOTqblyJHEWVoyGmhXkEw0GiY7OFChUSNef/11nJycCA4OJjAwkJ9//pl33nmHzMxMihYtiqenJ5MmTXpkzSk6OprXXnuNJk2a8Morr1CuXDn+/NMC2PqQK9oAZwBXoNJdx0cBhwF7oBWVKr3NI8amPJKLiwv79u3D0tKSunXrYmdnR+XKlUlNTWXOnDkAvPbaa/z000/0798fFxcXwsPDCQ8Px9zcHHNzc37//XdCQkJwcHDgp59+onXr1i/sru6KUmiedeRVXk7p6elSvXp1sbW1laIWFhJoYiIpBVkaxc5O5J45hu3btxdAhgwZUuDyfPjhh8bJ4nc+7777njg6GvJdpHs/NjYiBw8W1hsrHG+88YaasqC89FTgU569nBwx9Okjt0xMHh9NLCxEnJxEIiMlJiZG/u///k8SExPF399fAGMzXn7pdDoZP368FCtWzBjwzM3NZdKkSSIiMmOGiJWVvsBBz8JC5M03/4mXVTDbt2+Xv//+W3Q6nSxatEgsLS3lypUrz7pYivJMqaZO5dkzMeHXxo0ZWKIEhgYNckeVmJvnSZKm1YKjIwQHw19/QeXK/Pjjj2zatImSJUsSHh7OmDFj+Prrr/N1y9OnT9O6dWusra0ZPXo0TZo0oWLFipiamtKzZ0+GDh2KXq9Hq51DVtYPaDS3Hp/pbRYW4OUFtweUPlPR0dFUqlQJe3t7pkyZwq+//oq7u/uzLpaiPFvPOvIqSnJysnh4eMju3btzD+zbJ9KpkySWLStXvL3lTLlyEtK4scg9C0rfvfOBq6urJCcnP/I+er1e5syZY1xFpXTp0vL9998bV0bZtGmTBAQESHh4uHTp0kWsrKwEEFtbO/nkE93tLYkeXdOztRWpWVPkMUVRFOUZUoFPeeb69esnvXr2FNm2TaRly9yN7ezs5JZGI+kg6aamojM3z90Q73a/3rFjx/L0yWm1WuM6pveKjY2Vjh07iqWlpZiZmUmbNm3kzJkzD0w7cuRI0Wq1efr6IiMjRST31r165e7JZ2eX+6eFRW6ws7TMbdpcty53M3lFUZ5fagd25Zk6ePAgHVq1IrpsWcwOHszdgf1h/yRNTHKbQPv1w3PZMi7HxWFtbU2XLl3o1KmTcRUTf39/IHdVky+//JLo6GiKFy/OwIED+fjjj42T3R8kLS2N8uXLG+fGeXt751luDHJ3Yd+4Ea5eBZ0utwW2fn3w9i6UV6Ioyj/tWUde5eWl0+mkVuXKkliyZG6VKZ8jRzJMTCQEZMxXXxmbKT/99FMxNTUVX19f6dWrl9jY2IiJiYk0atRIDh8+nO8y/fTTTwK5m9lqtVoZP378P/X4iqI8I6aPjYyKco+LFy9SqlQpdDpdnuWuCmrWrFl8ExuLU3o6ZGbm+zpLvZ73LS0xsbQErZZ58+YxdepUcnJyOHXqFAkJCQwaNIiRI0cWaM5aSEgIvXr1wtPTk71799KvXz+6dev2JI+mKMpzTDV1KkBuk15CQkKeZsDAwEBmzpx5X9rCCHyXL1/m3fLl2ZOZifYBy6Ld7U1gH7kLVmsAH+BdYJCtLUM6dmR2SIgxrUajoWvXrsZl0/Jr9uzZBAUFUbJkSU6ePGlcZFtRlP8eVeNTjMLDw2nSpMm/cq+BAwcyvUwZtEeO5DmuBx7UAzcT6AWkAweAQcCGtDSqrV1LuXLlKFGiBElJSVy/fp1r164VqCxTpkxh6NCheHl5cfz4cRX0FOU/Ts3jUx5Lr9czdOhQXFxcKF26NGvXrs1z/sKFC9SvXx87OzuaNGlCUFCQcdFogHfffRc3Nzfs7e2pX78+s2bN4uyRI1T/6y8Cc3L4kNxFqm2AbY8piw25NcDVwJ9AQ0tLjh8/zrp162jXrh0iwv79++nQoQM3btwwXrd48WK8vLxwdnZmzJgxeHt7s2XLFsaOHcvQoUOxsLAgOTkZHx8f+vXrZ9z9QEQYPHgwxYoVw97enooVK3L8+PGnfqeKojw7KvApjzV//nzWrFlDZGQkBw8e5Ndff81zPiAggDfeeIPr16/z5ZdfsmTJkjzn/+///o8zZ85w9epVKlSowODBg/l+6FA0t5tJlwHDgVSgbj7LVBKoDuyKiQERpk+fzqpVq9ixYwdXrlzB0dGRoKAgAE6ePMlHH33E0qVL+fvvv40bry5cuJARI0bg7u7O2rVrSUxMJCIigq1btzJ79mwANm3axM6dOzl9+jTJycn8/PPPODs7P/G7VBTlOfBsx9YozwsvLy+xsbERe3t742fevHkiItKwYUOZM2eOMe3GjRsMa1HvAAAgAElEQVQFEJ1OJzExMWJiYiLp6enG8507d37ojgP9+/cXQJLDw0Xs7eV9kK6PGcXZAGT+A453BOml0Yikp4uvr69s2bLFeJ8rV66Iqamp6HQ6GT16tHTq1Ml47s4ODICUKlXqvonvU6dOlbZt24qIyNatW8XHx0ciIiKMI0gVRXmxqT4+xWjVqlUP7OO7cuVKng1M79749MqVKzg5OWFtbW085unpadz3Ta/XM3z4cEJDQ0lISDDuyJ6YmYn9nfRPWN44oLYIWFgQExNDu3bt0N61FYKJiQkJCQn3lX/YsGEYDAbc3Nw4fPgwCQkJdO7cmYMHD3Lr1i1ycnKoVq0aAI0aNaJfv34EBQVx6dIl2rVrx+TJkylSpMgTllpRlGdNNXUqj+Xu7p5nA9NLly7lOXfjxg1jQIO8m50uW7aMsLAwNm3aRIUKFZgyZQoAUqwY3B7NefcWrvkVCxwC6llbg4kJnp6erF+/nuTkZOMnMzPTuCHr5cuXAejevbuxGXPWrFk4ODjw4Ycf4uvry5kzZ7h58ybjxo3Ls3nrgAEDOHToECdOnOD06dNMmjTpCUqsKMrzQgU+5bE6dOjA9OnTuXz5MklJSUyYMMF4zsvLi+rVq/Pll1+SnZ1NREQE4eHhxvOpqalYWFiwZs0aDAYDp0+fzj1RvDj4+RW4LLeAHcBbwBsaDS179QKgb9++DB8+3LjiyrVr1wi7vUp0+/btCQ8Pp2nTpixatAh7e3tMTU2NtbbU1FSKFCmCra0tp06dMu51B3DgwAH279+PTqfDxsYGS0vLR678oijK808FPsXI398fW1tb46ddu9ytYXv37k3z5s2pVKkSVatW5e23385z3dKlS4mIiMDZ2ZkRI0bQsWNH48Txbt264ebmxuDBg4mNjaVWrVr/uzA4GPI5D7AfYEfutq+DgHeADebmaAcMAHKnR7Rp04ZmzZphZ2dHzZo12b9/PwDlypXDx8eHLVu2oNVq+fDDDylWrJixjJMnT2bZsmXY2dnRu3dvOnbsaLzvzZs36d27N46OjsZRoUOHDi3wu1UU5fmhJrArha5jx474+voyevRoALp06ULx4sX55ptv8ibMzgY3N0hKKvhNTE2hdm3YseOxSVu0aMHmzZvx8vJi//79WFlZ4eDgwJkzZyhVqlTB760oygtN1fiUp3bgwAHOnTuHwWBgw4YNhIWF0bZtWwC2bNnC7t27GTVq1P0XmpvD6tWIlVXBbqjRgIMDLF/+yGQGg4E333yTLVu2ULRoUbZu3Yq1tTVDhw6lQoUKeKtVpRXlpaQCn/LU4uPjefPNN7G1tWXAgAHMmTOHKlWqkJmZyUcffcSMGTMevhpK3bosbduWDG0+/ymamkLRorBrV24/4UMYDAbq1KnDnj178PT0pHHjxlSpUoXixYtz5swZVqxYgUbzJMNqFEV50ammTuUf8+WXX3L06FF+//33h6ZZunQpI0eO5OD8+Th9/TXs2wcGQ24z6N2srXOPt20LU6fmNpE+hMFgoHr16hw/fpzixYuzd+9eij8iSCqK8nJRgU/5R0RHR1OnTh2ioqIoUaLEA9Ps3r2bt99+m23btlGuXLncgxcuwMyZEB4OKSm5NTwnJwgMhO7dc39+hJycHCpVqsTZs2dxd3dnz549eHh4FPLTKYryIlOBTyl0IkKTJk3w9/dn0KBBD0xz/vx56tSpw6JFi2jevHmh3Dc7O5vy5ctz6dIlXF1d2bNnz0ODrqIoLy+1cotS6H766SeSkpLo16/fA88nJyfTqlUrRo4cWWhBLzMzE19fX65evYqrqyu7du1SQU9RlAdSNT6lUN24cYNy5cqxevVqXn/99fvO63Q6WrZsSdmyZfnuu+8K5Z5paWn4+vqSnJyMo6Mju3btUiM2FUV5KBX4lELVu3dvLC0tmTFjxn3nRIQPP/yQ2NhYVq9eXSgroCQnJ+Pr68utW7ewt7dn586dam6eoiiPpJo6lUKze/du1q1bx8mTJx94ftq0aezdu5c9e/YUStBLTEzE19cXg8GAvb0927dvV0FPUZTHUoFPKRQ6nY6+ffsydepU7O3t7zsfHh7O5MmTiYiIwM7O7qnvFx8fj5+fH6amplhbW/PHH3/wyiuvPHW+iqL896kJ7Eqh+Pbbb/H09OTdd9+971xUVBQ9e/Zk5cqVlCxZ8qnvFRsby6uvvoqFhQXm5uZs3boVHx+fp85XUZSXg+rjU57ahQsXeP311/nzzz8pXbp0nnN///03NWrUYMqUKQ8Mik9yrwoVKuDg4IDBYOCPP/7A19f3qfNVFOXloWp8ylMREfr168eQIUPuC3q3bt2iTZs2fPDBB4US9KKjoylXrhwuLi7o9Xq2bNmigp6iKAWm+viUp/Lbb79x8eJFVq5cmee4wWCga9eulC1bls8///yp73P8+HGqV6+Ol5cXKSkpbNmyhbJlyz51voqivHxU4FOe2M2bNxk0aBDLly/H3Nw8z7nhw4dz7do1li1b9tSLQR88eJA6derg4+PDtWvX2Lx5M+XLl3+qPBVFeXmpwKc8sREjRtC8eXPq1auX5/jChQsJDQ1l3759xs1en9SePXt48803qVChAleuXGHjxo1UrFjxqfJUFOXlpga3KE/k4MGDtG7dmhMnTuDs7Gw8vmPHDjp06MCOHTueuv/tjz/+oFmzZrz++uucP3+e9evXU7Vq1actuqIoLzk1uEUpML1ezwcffMDEiRPzBL0zZ87QsWNHli1b9tRBb/369TRr1oy6dety/vx51q5dq4KeoiiFQgU+pcBmzZpFkSJF6Natm/HYjRs3aN26NWPGjKFx48ZPlf/KlStp3bo1jRo14uTJk4SHh1O9evWnLbaiKAqgmjqVAoqLi6NSpUrs3r3bWKvLzs6mefPmVKtWjcmTJz9V/suXL6dLly60atWKffv2sXr1amrWrFkYRVcURQFU4FMKqH379pQtW5avvvoKyJ3H16tXLxITE/n999+fag3OhQsX0rNnT9q3b8/27dtZtWoVtWvXLqyiK4qiAGpUp1IAa9euJSoqiiVLlhiPTZo0icOHD7Nr166nCnpz5swhKCiIzp07s3HjRn7//XcV9BRF+UeowKfkS3p6Ov369WPevHlYWVkBuX1xM2bMICIiAltb2yfO+9tvv2Xo0KH06NGDsLAwfv31V+rWrVtYRVcURclDNXUq+RIcHExsbCzLli0D4NChQ7Ro0YINGzZQrVq1J8537NixjBw5ko8++oiff/6ZX375hYYNGxZWsRVFUe6janzKYx07dowFCxZw7NgxAC5fvsxbb73FvHnznirojRw5krFjx/Lxxx+zePFiVqxYoYKeoij/ODWdQXkkg8FA3759GTNmDG5ubqSlpeHv78+AAQNo167dE+c7bNgwxo4dy+eff87ixYv56aefnnoahKIoSn6oGp/ySCEhIRgMBvr06YNer6dz585UrVqVYcOGPXGeQUFBzJ07l6+++orp06ezePFimjVrVoilVhRFeTjVx6c81NWrVylfvjybN2+mUqVKDBkyhMjISDZs2HDfotT51b17dxYvXsyECROYNGkSCxcupFWrVoVcckVRlIdTNT7loYYMGUK3bt2oVKkS8+bNY82aNURERDxx0AsICOCXX35h2rRpfP3114SEhKigpyjKv04FPuWB/vjjD3bu3MmJEyfYsmULX3zxBbt27cLJyemJ8mvXrh1r1qxhzpw5jBw5knnz5uHv71/IpVYURXk81dSp3CczM5OKFSsyefJkfHx8ePPNNwkNDaV+/fpPlF+LFi3YunUrP/zwA8HBwcyePZu33367kEutKIqSP6rGp9xn4sSJlCtXjtq1a1OjRg2++eabJwp6BoOBRo0aERERwZIlSxg8eDAzZsxQQU9RlGdK1fiUPE6fPk3t2rXZt28f3bt3p169eowbN67A+RgMBurUqUNkZCTLly/no48+Ytq0aXTs2PEfKLWiKEr+qcCnGIkITZo0oVWrVkRGRpKZmcnPP/+MVluw6Z4Gg4Fq1aoRHR3Nr7/+Sq9evZg8eTIBAQH/UMkVRVHyTzV1KkZLly7lxo0bpKamEh0dzfbt2wsc9HJycqhUqRIxMTGEh4fTrVs3Jk6cqIKeoijPDVXjU4DcjWTLlStH//79+f7779m3bx/u7u4FyiM7O5vy5cuTkJBAeHg4AQEBfP311wQGBv4zhVYURXkCKvApAPTp04cbN26wc+dO44T1gsjMzMTX15ebN2+ybt063n33XUaPHk2PHj3+oRIriqI8GdXUqbB3715Wr14NwIIFCwoc9NLS0vD19SUrK4stW7bQtm1bvvjiCxX0FEV5Lqka30tOp9NRuXJlUlNT+fjjjxk0aFCBrk9OTsbX1xeAzZs34+/vz6effkrfvn3/ieIqiqI8NbU7w0tuypQpXL16lZYtWzJw4MACXZuYmEiZMmUwMzPjjz/+oE2bNgwbNkwFPUVRnmuqxvcSu3jxIn5+flSrVo1t27ZhZmaW72vj4+Px8/PDwcGBjRs30qJFCwYNGsSAAQP+wRIriqI8PRX4XlIiQoUKFbh69SqnT5/GwcEh39deunSJ8uXL4+7uzvr162nWrBlBQUEMHjz4HyyxoihK4VBNnS+pL774glOnTrFz587HBj0RYd68eWRkZHDhwgXKli1LyZIl2bx5My1atKBv374q6CmK8sJQNb6X0P79+6lduzbTp08nKCjosekPHTpE9erVqV69OsePH6ds2bKsXr2aRo0a0aNHD4KDg/+FUiuKohQOFfheMgkJCfj4+FClShV27NjB9VvXuZ5xHQAnKydcrF3uu6Z///7Mnj0bg8GAvb09R44coUWLFnTp0oXhw4f/24+gKIryVFTge4lkZGRQo0YNzsWcY/K6ycw+MpvT109jbpq7sWy2PptXHF8huE4wHcp1wMrMCr1ej6OjI6mpqQCYmJhgZ2fH4MGD+eKLL57l4yiKojwRFfheEiJCp06dWBuzFn1LPaZmpqRlpz0wra25LQAzW84kfU86QUFBmJiYYGlpiampKe+88w4hISH/ZvEVRVEKjQp8L4lRo0Yx4+AMUqqlYDAx5OsaSxNLNLs0lLhQgsmTJzNixAjatGnDmDFj0Gg0/3CJFUVR/hkq8L0Eli5dSv95/UmSJEgG3sn/teaY822Tb/mh3w80b96c8ePHP3HQ+/LLLzl79iw//fTTE12vKIpSGNR0hueAt7c3VlZW2Nra4ubmRmBgIGlpD26GLKg9e/YwaMggUuunPtHfdjbZDNgwgAZNGjxV0LvXxYsX0Wg05OTkFEp+iqIo+aUC33MiPDyctLQ0oqKiiIyMZPz48U+d5/nz52nfvj0NP2qIXvQFu/iu5CYmJlTpXEU1byqK8p+gAt9zxs3NjebNmxMVFQVAVlYWQ4cOpWTJkri6utK3b18yMjIA2L59OyVKlOCbb76hWLFiuLu7s2rVKtatW0eZMmXw8fGhatWqhCWGIWa3W7RzgFBgHDAXiL/r5lOB3cDs2+f1wC7QTdfRo2YPypYty8qVK43JFy1aRN26dRk6dCiOjo6UKlWK9evXG89fuHCBBg0aYGdnR9OmTUlMTDSeq1+/PgAODg7Y2toSERFRuC9SURTlIVTge85cvnyZ9evXU6ZMGQCCg4M5ffo0UVFRnD17lri4OL766itj+vj4eDIzM43He/fuzeLFi/H09KRTp05s3LiRbE32/24QDZQFgoEKwAry1O44BnQGPgVMACegO5h8bsLHn35Mly5d+Pvvv43J9+/fz2uvvUZiYiKffPIJPXv25E63cUBAANWqVSMxMZGRI0fy448/Gq/buXMnkLu7Q1paGrVq1Sq0d6goivIoKvA9J9q2bYudnR2enp4UK1aM0aNHIyLMnz+fqVOn4uTkhJ2dHZ9//jkrVqwwXmdmZsbw4cMxMzOjU6dOJCYmkpWVhZWVFcOGDQMTME80/9+N3IFy5Aa1WuTWAC/fVZAagD1wZ73qckARsDCzoEGrBvj4+PDnn38ak3t5edG7d29MTEx4//33+fvvv0lISODSpUscOHCAMWPGYGFhQf369fH39/9nXp6iKEoBqI1onxOrVq2iSZMm7Nixg4CAABITE8nOzubWrVtUq1bNmE5E0Ov/V0VzdnbGxMQEACsrKwBOnjzJ/v378ff3x6OEB/G6u9oz7e+6qRYoAqTy4PMAUUAEpKWkUW1CNW6l38rTZOnm5mb82draGsjdmDYxMRFHR0dsbGyM5728vIiNjS3Ia1EURSl0qsb3nGnQoAGBgYEMHToUFxcXrKysOHHiBMnJySQnJ5OSkvLQEZ9r1qwBICQkhN9++43s7GyKuxYnx3DXyMmUuy4wADcBu4cUJhkIB1qC2WdmXIy/SPny5cnPDBh3d3eSkpJIT083Hrt06ZLxZzVQRlGUZ0UFvufQoEGD2Lx5M0ePHqV3794MHjyYq1evAhAXF8fGjRvvuyYqKopevXoBuTW/zz//nO+//x4TrQle9l7/S/g3cJLcfr195DZ5lnhIQe50DdqAr7MvYSvCOH78eL6ewcvLi+rVqzNq1Ciys7PZvXs34eHhxvNFixZFq9Vy/vz5fOWnKIpSWFTgew4VLVqUbt26MWbMGCZOnEiZMmWoWbMmRYoUoUmTJkRHR+dJ//fff9OmTRtmzJgBwLhx4+jSpQuVK1dGp9Phct3lf0HsNeAEMBE4CnQkN/g9SDGgNhACF0Zc4NixY9SpUyffz7Fs2TL279+Pk5MTo0ePplu3bsZz1tbWDB8+nDp16uDg4MC+ffvyna+iKMrTUCu3vOBu3bpFgwYNeOuttxgxYgTbtm0jMDCQzZs3M3fuXBYtWsQ7777DL96/cDP75hPdw87cjmvDrmFhalHIpVcURfn3qRrfC8xgMNC1a1f8/PwYPnw4WVlZ9OzZE19fX2rWrAnAsWPHmP/9fH5s9yPmGvPH5Hg/azNr5vnPU0FPUZT/DBX4XmDDhw/n2rVrzJ8/nxMnTvD6669z+fJl3njjDU6fPs23336Lh4cHAKZnTTFsMKDJyf+gEitTK8Y0HEOn8p3+qUdQFEX516npDC+ohQsXEhoayqxZs+jYsSN79uzh1q1bREZGUq5cOWO6+Ph4PvnkE5YsWQLA9xO+p9/mfohGyDF58DqZtua2mGhM+L7193Qs3/FfeR5FUZR/i+rjewFt376ddu3a4evry5UrVxg2bBgrV66kZcuWDBkyBMjddLZ9+/Zs2rTJuBB0hQoVeOWVV9CLns5fdWbK/ilExkdibvK/jWgrFqtIcN1g2vq2NR5XFEX5L1E1vheIwWBg3rx5DBgwAFdXVz744AM6d+5MaGgo169fZ+DAgca0ZmZmXLhwwRj0TE1NMTExQa/X8+uvv2Jubk7Hih25pbvF9VvXAXCycsLG3OaB91YURfmvUIHvBZCTk0NoaChjxozh/Pnz9OjRg1mzZmFiYkJSUhJDhw5l5cqVmJr+769z7dq1xjU1TUxMEBHs7e0JDQ3F3Px/NTlrM2us7a3/9WdSFEV5VlRT53MsKyuLJUuWMGHCBIoVK0Z6ejpNmjRhypQpxjR9+/ZFq9Uye/Zs47GVK1fSq1cvUlJS6NChA4cPH+bSpUtcv37duKyZoijKy0qN6nwOpaenM23aNF555RV+++03FixYgJ+fH97e3nzzzTfGdBEREaxevZpx48YZj/3+++/06dOHW7duUbt2bTQaDSVLluTq1asq6CmKoqAC33MlOTmZr7/+mlKlSrF7925Wr17N+vXr2bdvH4cPH2bp0qXGBal1Oh19+/ZlypQpODg4APDbb7/Rt29fcnJyKFmyJF5eXiQkJBAWFoatre2zfDRFUZTnhurjew4kJCQwbdo05s2bh7+/Pzt27MDPzw/IbbacMWMGEREReYLXd999h6urK5065c6xCw0NpV+/flhY5E40r1GjBrGxsaxdu1bV9BRFUe6iAt8zdOnSJSZNmsTSpUt57733OHToEN7e3sbzhw4dok+fPmzYsIESJf63knRMTAwTJkxg3759aDQafvnlFwYMGIC7uztnzpyhbdu2xMTEsG7dOuNWQYqiKEou1dT5DERHR9OjRw+qVKmCtbU1J0+eZNasWXmC3uXLl3nrrbeYN2/effvx9e/fn0GDBlGmTBl+/vlnBg4cSOXKlTlx4gStWrXi0qVLrF27Ns9eeIqiKEouVeP7F0VFRTFu3Di2b99O//79OXv2LI6OjvelS0tLw9/fnwEDBtCuXbs858LCwjhz5gyhoaEsX76cjz/+mBYtWvDjjz/Spk0b4uLi2LBhg+rTUxRFeQg1neFfsGfPHsaOHcuRI0cYMmQIffr0eWhg0uv1vP3227i4uPDDDz/k2bA1NTWVcuXKsWTJEuLi4hgyZAg9e/Zk7NixNG3alNTUVDZu3EiRIkX+rUdTFEV54aga3z9ERNi0aRPjxo3j8uXLBAcHs3LlSuPgk4cJDg4mNTWV0NDQ+3YpHzVqFI0aNSI2NpZPPvmE4cOH079/f2rXrk1ycjKbN29WQU9RFOUxVOArZAaDgVWrVjFu3DgyMzP57LPP6NixY55VVR5m/vz5hIeHExERkWd1FYDIyEiWLl3KqFGj+OSTT5g6dSoBAQFUrFiRrKwstmzZgr29/T/1WIqiKP8ZqqmzkOh0OpYvX86ECROwtbVl+PDh+Pv7o9Xmb/zQ1q1b6dy5M7t27cLHxyfPOb1eT61atahQoQIbNmxg0aJFtG7dGg8PDxwcHNiyZQtOTk7/xGMpiqL856ga31PKzMxkwYIFfPPNN5QuXZoZM2bQqFGj+5opH+Wvv/4iICCAX375JU/Qy8zMxNLSkrlz55KSksL69etZtWoVTZs2xd7eniJFirB582YV9BRFUQpABb4nlJqayty5c5k6dSrVq1dn+fLl1KpVq8D5JCYm0rp1ayZOnEiDBg2Mxw8cOED9+vX5+OOP+e6777CxsWHr1q20aNECEcHV1ZUtW7bg7OxcmI+lKIryn6cCXwFdv36d6dOnM3v2bJo0acKGDRuoWLHiE+WVlZVFu3bt6NChA4GBgXnOXbx4EY1Gw/jx4xEROnXqRNeuXUlMTKRUqVL88ccfuLi4FMITKYqivFxU4MunK1eu8O2337JgwQLeeecd9u7de19fXEGICL169cLV1ZWxY8fedz4+Pp7s7GzudMGGhIQAUKZMGbZv307RokWf+N6KoigvM7Vyy2OcP3+evn37Ur58efR6PUePHmX+/PlPFfQAxo4dy6lTp1i8eDE8oDswPDwcvV5/X19hw4YNcXV1fap7K4qivMzUqM6HOHHiBBMmTGD9+vX07duXgQMHFlota9nPyxgwawCenTw5lXSKzJxMTLWmOFs507tqb2xP2TJy0Ej0ej0GgyHPtRqNhpMnT+Lr61soZVEURXnZqMB3jwMHDjBu3DgiIiIYNGgQH374YaHNjxMRhoYOZWrkVKxsrbiVc+u+NKaYkpOTQxX7KjRJb8KkLycBubuoV65cmY8++oiuXbtiZmZWKGVSFEV52ajAR25A2rFjB+PGjePUqVMMGzaMnj17FurOBiJC1xVdWXZiGWL2+FdupjFDn6bHOcyZwYGD6d27txrMoiiKUghe6sAnIqxdu5Zx48Zx/fp1Pv30Uzp37nzfqimFYci6IUyNmIqY5uN1JwHfASOhhEMJovpG4WxdeNMWNBoNZ86coUyZMoWWp6IoyovihRnccizhGIuPLMbZ3RlzS3OsbKxwdXWle/fupKWlPfb6RYsWUbduXSB3JZQVK1ZQuXJlRowYwaBBgzh58iTdu3cvUNBbtGgRJiYm2NraUqRIESpXrsyaNWvuS3fk7yNM2zctf0HvHgnpCXyy5ZM8x7y9vbGyssLW1hY3NzcCAwPz9Q4URVGU5zzwZeVksfzYcirNrUSNH2oQtC6IG5k30AZoMR9hTmaPTNZsX0PwyOAHXh8fH8+qVauM30WEkJAQfH19mTFjBuPHjycyMpIOHTpgYmLyyLLk5OQ88HitWrVIS0sjOTmZnj170qFDB27cuJEnTcD0AAwawwOvfxydQcfyY8tJzUrNczw8PJy0tDSioqKIjIxk/PjxT5S/oijKy+a5DXwxyTH4zvKlz5o+HE04SkZOBmnZaSC5AfFm9k1uWt4kySOJuevnsvToUlJSUujZsyfu7u54eHhQqVIl2rdvz8aNG+nduzd79+7lgw8+ID4+nt27d9O4cWOGDRtGyZIlcXV1pW/fvmRkZACwfft2SpQowcSJE3Fzc6N79+6PLK9Wq6VHjx5kZGRw/vx5kpKSaN26Nba2tpycdhKWAyl3XTAVOHfX923Abw/JW6NlydElDzzn5uZG8+bNiYqKMh578803+eGHH4zf767t3rFu3TpKly6Ni4sLw4YNyzN6dMGCBfj5+eHo6Ejz5s2JiYkxntNoNMydOxcfHx8cHR0JCgoyzjU8e/YsDRo0wN7eHhcXFzp27PioV6YoivJMPJeB72LyRarNq0ZsSmxusHuYFNCf1mNwNdBnTR8avNUAU1NTzp49S+PGjbl27RoGg4F27dpRqVIlKlWqRE5ODqmpqWg0GoKDgzl9+jRRUVGcPXuWuLg4vvrqK2P28fHx3Lhxg5iYGObNm/fIMufk5DBz5kxsbW3x8fHBYDBQuXJlTMubYj3MGsyAdU/2PtJ16YREhjzw3OXLl1m/fn2B++tWrlzJwYMHOXz4MGFhYSxYsADAuLPE77//zrVr16hXrx7vvfdenmvXrFnDgQMHOHLkCL/88gsbN24EYOTIkTRr1oykpCQuX75M//79n+BpFUVR/lnPXeDLzMmk5oiaXB97Hb3oH5xoBTAeWAB4AfXgVtItjuw+QrtB7Vi8eDHLly9HRBARsrKyCAwMzLP5q4gwf/58pk6dipOTE3Z2dnz++eesWLHCmEar1TJ69GgsLBB4VCQAABb6SURBVCywsrK6rxhr1qxh7969ODg44ObmxsSJE9Hr9YwePZr9+/czb948eg7qiVgI1ANi7ssi11gg49Hv5Vr6tTzf27Zti52dHZ6enhQrVozRo0c/OoN7BAcH4+TkRMmSJRk0aBDLly8H4Pvvv+ezzz7Dz88PU1NTPv/8c6KiovLU+j799FMcHBwoWbIkDRs2NNY2zczMiImJ4cqVK1haWt5Xy1QURXkePHeBL/REKCmZKfCocSCdgM+AwUBrcmtTyYAeWldrzUcffZSnT85gMORpCgS4du0at27dolq1ajg4OODg4ECLFi24di03wEyZMgVTU1MsLS3zXHf06FEs/r+9e4+Kstr/OP5mhOEmw9UEFAExU0hFMfByvKeVt05qZHnDzPLSrxQ94QEN1HUywGOZqZUa5iXP0UwRxVBUEqTMvB+PlhgCQooGgyLIZZjfH6MjV1FDYQ7f11quxTzPfvazB9fy497PfvY2NSUnJ4ehQ4fSo0cPcnJyOHXqFD4+PhQWFrJ06VKGDBlCTk4Oy95YRuGCQogCbgHVPeoLAarmagWlZRWfMW7fvp0bN26QkJDAuXPnuHbt2r0rqMTFxUX/s6urK1lZWQCkpaXx7rvv6n8ndnZ2aLVaMjMz9eUdHR31P1tYWOgn1kRERKDVavH19cXLy0vfixRCiIak3tfqLC0trbBJa/ihcG6V3nrwiqwBYzCZY8LpqafxsPagtLSU4OBgtm3bxsmTJyvsfu7g4IC5uTlnzpyhRYsWVarr378/u3bt4quvviIrK4v09HSysrL46aefMDExoX379qjVaoqLi/UTY+4sL3bneVlZWRl+r/lxtOVRirKK4HPuBroSKCl3w1omZVqbVf8SfZ8+fQgICGD27Nn6iTyWlpYUFNx9Of7y5ctVrsvIyMDLywuA9PR0nJ2dAV0ghoSEMGbMmHs3qBqOjo6sWrUKgKSkJJ599ll69+4tr00IIRqUe/b4+vbti42NDV5eXuzYsUN/PCAggOnTpzNkyBCsrKzw8/PjwoW7MzXeffddXFxcUKlU+Pj4kJiYqD8XFhbGqFGjGDt2LCqVirVr11JYWEhAQAAqGxX/DfsvZFVqyFV0PaZFwA0go5rGWgEecGvbLfr36Y+9vT2dOnVi+fLlZGRkcPHiRS5evEjPnj1RqVT6ocsOHTrQvn17WrZsiUqlwsTEBIVCQWBgIFqtlsmTJ7N48WJ2795NWloaubm5+Pr68uabb+Lp6YmNjQ1XrlwhNTWV8q9EGhsb4+HhwZcLvoQiIOH2iU+BD25/j2OABggD/lPz34OyiZLBbQbXeH7GjBns3btX36v19vbm22+/paCggJSUFP0C1+VFRkaSm5tLRkYGS5cu1U9EmTJlCosWLeLMmTMA5OXlsWXLlpobV86WLVu4dOkSALa2thgZGdU6W1YIIR63ewbfoEGDyM7OZtmyZYwZM4ZffvlFf27Tpk2EhoaSm5tLmzZtCAkJ0Z975plnOHHiBDk5Obz22mu8/PLL3Lp1txcXHR3NqFGjUKvVjBkzhvnz53PhwgXmfzsf0wBTKD8qqQG+BjyAv6EbEkwCqhvZewk4D5dTLpOfn09KSgqlpaVotVquXbtGZmYmycnJ3LhxAzs7O8zMzMjPzycjI4OrV69ibm5OQEAA586dIz4+HpVKRe/evfnjjz+4ePEi4eHhWFlZERcXx8KFC3F1dcXExIQnnnhC3wSlUsmJEyeIjY3lwoULdG7dGc1nmru/6TvDtC8B14EPbx9/6h5/SUYK/s+v5okizZo1Y/z48SxcuBCAmTNnolQqad68ORMmTKi29/biiy/i4+ODt7c3Q4YMYdKkSbpf4UsvERQUxOjRo1GpVDz99NPs3r275saVc+TIEfz8/GjatCnDhw9n6dKluLu739e1QgjxuNxz5ZaysjIUCt2/2K+++ipPPfUUYWFhBAQEYGxsrJ8yHxsbS2BgIOfOnau2HltbWxISEujUqRNhYWHs37+fgwcP6s+3bt2aFStWcNrqNMH7gyn9qRS+B2ahmxCy+fbPd8LjG8Ae6FfpRmpgKaiCVXRO6szx48fJz8/XDz2WlpZW6IGo1WpsbW1Rq9XVrseZnp6Oh4cHqamptGzZkjFjxuDg4MDSpUsBXe81JSWFDRs28PHHHzNz5kyOHTtG586dAfD19cXNzY3kq8lk/ScL7bNaqG5t6TDg/25/p2r0devLgQkHqj8phBDigdyzx3cn9EA3AeJ+JjiAbmJI+/btsba2xsbGhry8vAqTL8pPrADdXncuLi6YGZvRxKgJ2JQ7eQPd87vyLbW+fbyyG4A5PNH8CRISElCr1bz66qu0atUKa2trbt68yZw5c/Dw8EClUuHm5gZQ48SQVq1a0bt3bzZs2EB+fj7bt29nwoQJVcodOnRI39vq0KGD/vjVq1dJTEzk8MbDunf4HmKtawsTC/456J8PfqEQQohq3TP4yr/UnJ6eXu0kkMoSExMJDw9n8+bN5Obm6ntT5TuWlfeYc3JyIiMjgxaqFiibKCu+6G2F7nP52ZB5t49XZgUUgpPSSX8frVZLr169UKvVREdHEx0dTXx8PHl5eVy8eBGAey1XOmHCBNatW8fWrVtxd3enS5cuFc7n5+czatQolixZUuF4WFgY2dnZzJ49m9ycXBQosL5ujWkTU+6XubE5m0ZuootTl9oLCyGEuC/3DL6IiAhKSkpISEggJiaG0aNH11rhjRs3MDY2plmzZpSWlrJgwQKuX79+z2v8/f1ZtGgR3ey7oVFr4HC5ky3QzYA8hO55XyrwK/B0NRXZgKKlApsfbSguLiYpKYmYmJgKbTM1NcXe3p6CggKCg4Nr/T4jR44kIyOD0NDQKr29W7duceDAAebOnUufPn0AXYiGhoayZcsWOnXqRHZ2NgMGDMB/lD8tT7fE28Qbc2NzFFcUUHVXIgCaKpuiMlUROyaW4U8Nr7WNQggh7t89g2/37t04ODgwbdo01q1bd1+bnz733HO88MILtG3bFldXV8zMzKoMbVYWGhqKq6srnm09Md1kisK7XLOMgVeBFCAC2IVuYkgNe8JajrYk53wOdnZ2zJ8/n/Hjx+vPjR8/HldXV1q0aIGnpyfdunWr9ftYWlrqw6/8JJGSkhK2bNmCk5MT06dP1x+fP38+W7duZf/+/Vy/fp0VK1awfv161q9fz+hXRnPlsysYLTLCZo8NplpTrE11459NlU2xMLHA08GT5YOXc3nWZfq69a21fUIIIR5Mg9uW6ELOBTqs7EBhaS1LmVTD3NicWd1nsbD/wkfQsru0Wi3Tpk0jLS2NHTt2YGxsjFarZd68eURHR7Nv3z6io6N5//33iYmJoWvXrtXWo76l5uzVs6hvqTE3McfZypm29m0faduFEKKxa3DBB7Dy55XM3jObgpIaxgKroWyipFPzTiROTMTU+P6foz2Mjz/+mDVr1nDo0CFUKhVarZaQkBB27txJfHw8X3zxBV9++SVxcXE8+eSTj7QtQgghHky9r9xSnaldp3Kj6AZhCWH31fMzNzbH6wkv9ozb88hDLyYmhsjISJKTk/WhFxwcTGxsLHv27GHBggUkJSWRnJxcYearEEKIhqFB9vju2PXrLoLig0hVp1JUWlRl0WorpRVGRkZM6zqNsL5hjzz0Tpw4wcCBA9m5cyd+fn5otVrmzJlDXFwcu3btYsaMGVy7do3t27dX+16gEEKI+tegg++OY78fY8kPSziceZgbRTdQlCnIScshakoUIz1H6l6BeMR+//13/Pz8WLx4Mf7+/mi1Wt577z3i4+P59ttvmTRpEvb29qxfv77KwtZCCCEajgY51FlZF6cubBixQf85KytL907hX0DZ4dGHXkFBAcOHD+fNN9/Uh97s2bM5cOAAGzduZMSIEfTo0YNPPvlE1qYUQogGrsFtS3Q/9u/fD8Drr79eYTWZR6GsrIxx48bRvn17QkJC0Gq1zJo1i4SEBD7//HOGDh3KiBEj+PTTTyX0hBDCABhk8H3zzTcAFBUVMWzYMEpKSmq54uGFhISQnZ2t325n5syZHDx4kMjISIYPH87f//535s2bV2U1GiGEEA2TwQWfRqMhPj4e0L1Pd/LkSf7xj388kntFRUWxefNmtm3bhlKpZMaMGRw6dIjg4GBGjx7NypUrmTx58iO5txBCiEfDIJ7xlffbb79x8+ZNzMzMKC4uJjAwkKFDh9b5fb7//nuCgoI4ePAg9vb2vPPOOxw+fJi33nqLqVOnsnXrVnr16lXn9xVCCPFoGcSszsry8vIoKCjA2dmZwsLCOp9Fef78ef7yl7+wceNGBgwYwNtvv83Ro0f561//yvLly4mNja2wC4MQQgjDYXBDnQDW1tY4OTlhYmJCXFxcndadk5PDkCFDWLhwIf3792f69OkcO3aM7t27s3btWpKSkiT0hBDCgBlk8N3RvHlzvvvuuzqrr7i4mJEjRzJs2DDeeOMNpk+fzvHjx2ndujU//PADSUlJuLq61tn9hBBCPH4G94yvPE9PT44cOVIndWm1WqZOnYpKpeLDDz9k6tSpnDp1CpVKRW5uLvv27cPS0rJO7iWEEKL+GHSPr2fPnvz22291UldkZCTHjh1j/fr1TJs2jZMnT6LRaHB0dCQ6OlpCTwgh/kcYdPANHz4ctVpdYaf4h7Ft2zY++eQToqOjCQwM5OTJk+Tk5NCvXz/Wrl2LiYlJHbVYCCFEfTPIWZ13aLVajI2N+eGHH/D19X2oOo4ePcrzzz9PbGwsK1eu5NSpU1y+fJnAwEACAwPruMVCCCHqm0H3+IyMjLC1tSUmJuahrr906RIvvvgiK1euZMWKFRw/fpy0tDTCw8Ml9IQQ4n+Uwff4unTpQmlpKS+99BK9evVi4MCB93Vtfn4+vXr1wt/fn3PnznHs2DF+//13Nm7cyHPPPfeIWy6EEKK+GGzwnTx5kp49e1JUVIRGo0GhUBAREXFfPTWNRsOIESOwt7enpKSEn3/+mZycHHbu3MkzzzzzGFovhBCivhjsUGe7du1o1aoVZWVlaLVaTE1NGTx4cI3lz58/z/fffw9AUFAQ169fp7CwkOTkZAoKCkhMTJTQE0KIRsBge3wAqampdOzYkfz8fOzs7Lh27VqNuyRMnjyZ1atX4+zsjIWFBR07duTIkSNYW1uzZ88enJycHnPrhRBC1AeD7fEBuLu7s2GDboPaJ5988p5bA+3duxfQbWKbmppKYmIirq6uJCUlSegJIUQjYtA9vjtad2qNR08P3pj2BuYm5rioXPB29NYH4R9//IGjoyOlpaX6a5RKJWq1GnNz8/pqthBCiHpgsEuWabVa9qfuJzI5kowRGVzSXOJwzGEURgpKy0ppZtmM93q8x9iOY4mNja0QeqBblzM0NJSIiIh6+gZCCCHqg0EG39WbVxm0YRApOSnkF+frDjaBkuK7O7HfVN/kb3v/xnvx7zE0fyhGRkbc6dwqFArc3d3p3LlzfTRfCCFEPTK4oc4r+Vfw+cKH7JvZlJSV1H4BYG5sTuvjrVH8quD9999nwIAB2NraPuKWCiGEaIge2eSWKVOmsHDhwlrL9e3bl9WrV99XnSWaEvqv63839KKAo7VfV1haSGrnVNbGrWXUqFF1GnoJCQm0bNmyzuoTQgjxaD1U8Lm5uaFUKrl27VqF497eugklFy9e5LPPPmPevHl10sg7tp3bRnpe+n339MorKC0gKD6oTtsjhBDC8Dx0j8/d3Z1NmzbpP58+fZrCwsI6aVRNwpPC7z7TewhJ6Ulk5GXUYYuEEEIYmocOvnHjxrFu3Tr956+++orx48frPwcEBDB37lz95+joaLy9vVGpVHh4eFTYOT0tLY2ePXtiZWXFoEGDKvQkf/zxR3r06IHKWsXxsOOQWkODcoC1QPjtP1uB8jn8EZQkluDT2Qdra2teeeUVbt26pT8dERGBk5MTzs7OrF69GiMjI1JSUgAoKipi9uzZtGrViubNmzNlypQaQ/7s2bP07dsXGxsbvLy82LFjx71/kUIIIR6rhw6+bt26cf36dc6ePYtGo+Hf//43Y8eOrbbsTz/9xPjx44mMjEStVnPw4EHc3Nz057/++muioqLIzs6muLiYxYsXA5CZmcmQIUOYO3cuEfERKF9QwmbgZjU30QK9gFnA20AekFCxiOa0hmZvNiM1NZVTp06xdu1aAL777juWLFlCfHw8KSkp+qXN7ggKCuLXX3/lxIkTpKSkkJmZyYIFC6o0oaSkhGHDhjFo0CCys7NZtmwZY8aM4Zdffqn9FyqEEOKx+FOTW+70+vbu3Uu7du1o0aJFteXWrFnD66+/zsCBA1EoFLRo0YJ27drpz0+cOJG2bdtibm6Ov78/J06cAGDDhg0MHjyYwYMHk1eUh8ZNA87A+WpuYg94oHtBwxLoDqRVKuMHBWYF2NnZMWzYMP19Nm/ezMSJE/Hy8sLCwoLQ0FD9JVqtllWrVvHRRx9hZ2eHlZUVwcHB/Otf/6rShB9//JH8/HzmzJmDUqmkf//+DB06tMKQsBBCiPr1p97jGzduHL179yY1NbXCMGdlGRkZ91xA2tHRUf+zhYUF+fm653hpaWls2bKFmJgYijRFupfQNYBbNZXkA7uBdKAIXQ+w8qIsTcGkiYn+PllZWYBuGbOuXbvqi7m4uOh/vnr1KgUFBfj4+OiPabVaNBpNlSZkZWXh4uKCQnH3/xOurq5kZmbW+N2FEEI8Xn+qx+fq6oq7uzuxsbGMGDGixnIuLi5cuHDhget3cXFh3LhxqNVq1iSvoen7TSEE3ZBmZfsAI2AqEAyMQBd+lTg2daxyzMnJiUuXLuk/Z2TcnQDj4OCAubk5Z86cQa1Wo1arycvL04dzec7OzmRkZFBWVqY/lp6eXmNPWAghxOP3p9/jW7NmDfv378fS0rLGMpMmTSIqKop9+/ZRVlZGZmYm586dq7XusWPHEhMTQ1xcHM+3fp6SohLd5Ja8agoXAUrADLgOJFctYmZixls+b1U57u/vT1RUFGfPnqWgoKDC8zuFQsHkyZOZOXMm2dnZgO7ZY1xcXJV6/Pz8sLS0JCIigpKSEhISEoiJiWH06NG1flchhBCPx58OPg8PjwrDhNXx9fUlKiqKmTNnYm1tTZ8+fUhLq/wArioXFxeio6P54IMPaOPSBj5CF2jVrTXTF/gdWARsBNpXLWKEEaM8R1U5/sILL/DOO+/Qr18/2rRpQ/fu3QEwNTUFIDw8nDZt2tCtWzdUKhXPPvtstRNWlEolO3bsYPfu3Tg4ODBt2jTWrVtX4XmmEEKI+mVQS5adunKKbqu7UVj64O8LmjYx5W3ft1k8aHGtZc+ePcvTTz9NUVERxsYGuZypEEKIGhjUfnwdm3dkVvdZWJrUPKxaHWMjY9xt3QnrG1ZjmW3btlFcXExubi5BQUEMGzZMQk8IIf4HGVTwASzot4CJ3hOxMLG4r/KmTUxxt3UnYUICTZVNayz3+eef06xZMzw8PGjSpAkrV66sqyYLIYRoQAxqqLO8VcdWMXf/XApKCqpdxszCxIIybRkve77M8sHLsTK1qodWCiGEaGgMNvgANGUa4i7EEXEoglNXTnGz5CbKJkqaWzZn+jPTmdh5IjZmNvXdTCGEEA2IQQefEEII8aAM7hmfEEII8WdI8AkhhGhUJPiEEEI0KhJ8QgghGhUJPiGEEI2KBJ8QQohGRYJPCCFEoyLBJ4QQolGR4BNCCNGoSPAJIYRoVCT4hBBCNCoSfEIIIRoVCT4hhBCNigSfEEKIRkWCTwghRKMiwSeEEKJRkeATQgjRqEjwCSGEaFQk+IQQQjQqEnxCCCEaFQk+IYQQjYoEnxBCiEbl/wGy2dMQKUSbnAAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -446,7 +438,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": { "scrolled": true }, @@ -457,7 +449,7 @@ "0.32" ] }, - "execution_count": 21, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -475,7 +467,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -492,7 +484,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -502,7 +494,7 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -521,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": { "scrolled": true }, @@ -532,7 +524,7 @@ "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" ] }, - "execution_count": 24, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -544,7 +536,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -563,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -582,7 +574,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -591,7 +583,7 @@ "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -603,7 +595,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -622,7 +614,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -648,7 +640,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -657,7 +649,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -666,7 +658,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -675,7 +667,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -689,7 +681,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -703,7 +695,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -714,7 +706,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -724,7 +716,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -734,7 +726,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -743,15 +735,6 @@ "scrolled": false }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/miniconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:579: MatplotlibDeprecationWarning: \n", - "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n", - " if not cb.iterable(width):\n" - ] - }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOydd1hTZ/vHvyEJkMGeMiQMBeGtta66kLYO6qwTrYJbO6yr+lq1tuL4aRWharXuumhdVWudrbYiatXixAE4AQEZsiGBhOT+/ZHmvAQSCCOOej7XxUVyVu5zMr7neZ77ub8cIiKwsLCwsLC8Jpi86ABYWFhYWFieJ6zwsbCwsLC8VrDCx8LCwsLyWsEKHwsLCwvLawUrfCwsLCwsrxWs8LGwsLCwvFawwsfCwsLC8lrBCh8LCwsLy2sFK3wsLCwsLK8VrPCxsLCwsLxW8F50ACwsLCwsrwfZ2cDmzcDZs0B+PiAQAF5ewKRJQMeOAIfzfOLgsLU6WVhYWFiMSXw8sGABcPKk+nlZ2f/WcTiAUAg4OQFz5gDjxwMmRu6LZIWPhYWFhcVoHDoEhIYCMhlQm9oIhUD37sDevYC5ufFiYsf4WFhYWAwgICAAMTExAIDw8HCEhoa+2IBeAY4fB0aOBKTS2kUPUG936hQweDCgUhkvLlb4WFhYjM727dvxxhtvQCgUwtnZGZ988gkKCgpeWDy7d++Gv7+/1rIePXroXPbNN98AAO7cuYN33nnneYX4ypOdDYSEqFt6dUEmA2JigKgoo4QFgBU+FhYWIxMZGYkvvvgCERERKCwsxKVLl5CSkoIePXpALpe/kJiCgoKQkJCAnJwcAEBFRQVu3rwJqVSqtezixYvo2rXrC4nxVWfTJkCprN++UikQEVH//WuDFT4WFhajUVRUhAULFuC7777D+++/Dz6fD4lEgn379iElJQXR0dEoKyuDQCDAs2fPAABLliwBj8dDUVERAGD+/PmYPn06AKC8vByzZs1C06ZN4eTkhI8//hiyf5oUMTExcHNzQ2RkJBwdHdGkSRNs27ZNZ1wuLi7w8vJCbGwsAODatWsICAhAUFCQ1jKVSoW2bdsCACQSCU6fPl3tWGVlZQgNDYWdnR2sra3Rrl07ZGVlAQAyMjLQv39/2NrawsfHB5s3b2b2Cw8PR0hICEaNGgULCwsEBATgypUrDb7mLwNKJbB6tXYSS12RyYDffmu8mCrDCh8LC4vR+Ouvv1BWVoZBgwZpLReLxejVqxdOnToFc3NztGvXDmfPngUAxMbGwsPDAxcuXGCeBwUFAQC++OIL3Lt3Dzdu3MCDBw+Qnp6ORYsWMcfNzMxEYWEh0tPTsXXrVkyePBn5+fk6Y+vatSsjcrGxsQgMDESXLl20lnXo0AGmpqY1nuOOHTtQWFiIJ0+eIDc3Fxs2bIBAIAAAfPjhh3Bzc0NGRgZ+/vlnzJs3D3/88Qez76+//orhw4ejoKAA/fv3x2effWbwtX2Z+fNPoLy8YccoLlaLpzFghY+FhcVoPHv2DPb29uDxqk8ZbtKkCdPKCwoKwtmzZ1FRUYH4+HhMnToVZ8+eRVlZGeLi4hAYGAgiwubNm/Htt9/C1tYWFhYWmDdvHvbs2cMck8/n4+uvvwafz0fv3r0hFouRlJSkM7bKrbtz584hMDAQgYGBWss0glsTfD4fubm5ePDgAbhcLtq0aQNLS0s8efIE58+fx/Lly2Fubo5WrVphwoQJ2LVrF7Nvly5d0Lt3b3C5XISFheHmzZuGX9yXmMePG6eb8sGDhh9DF6zwsbCwGA17e3s8e/YMFRUV1dY9ffoU9vb2ANQiFBMTg2vXruGNN95Ajx49cPbsWVy6dAk+Pj6wt7dHTk4OpFIp2rRpA2tra1hbW+P9999nxuQAwM7OTktkhUIhSkpKdMbWtWtXxMfHIz8/H5cuXULHjh3h5+eHp0+fIj8/H+fPnzdofC8sLAzBwcEYPnw4XFxcMHv2bCgUCmRkZDACrcHDwwPp6enMc2dnZ61Yy8rKdF6rV43SUqCiouEz5eqaGGMobOUWFhYWo9GxY0eYmZnh4MGDCAkJYZaXlpbixIkTWLp0KQCgU6dOSEpKwqFDhxAUFAR/f3+kpqbi2LFjTKvL3t4eAoEAd+7cgaura4Nj8/LygouLCzZt2oSmTZtCLBYzMW/atAklJSXo0KFDrcfh8/lYsGABFixYgOTkZPTu3Ru+vr7o2bMn8vLyUFxczIhfampqo8T+sqBQKJCfn4/8/Hzk5eUxj69ccQZRIICau4lr45+3pNFhhY+FhcVoWFlZYcGCBZgyZQosLS3RrVs3pKen49NPP4WbmxvCwsIAqFs7bdq0wbp163Ds2DEAajHcuHEjtm7dCgAwMTHBxIkTMWPGDKxduxaOjo5IT0/H7du3ERwcXK/4AgMDERUVhZEjRzLLunTpghUrVqBt27bMWF1NnDlzBvb29vD394elpSX4fD64XC7c3d3RqVMnzJ07FytXrsS9e/ewdetWREdH1yvWFwERQSqVaolaZZGTyWSwtraGra0tbGxsYGtrCy8vL3A4pjh40AQKRf1fm8MBWrVqvHOpDCt8LCwsRmX27Nmws7PDrFmz8PDhQ1haWmLAgAH48ccfYWZmxmwXFBSE69evo3379szzn3/+Wau7cfny5Vi0aBE6dOiAZ8+ewdXVFZ988km9hS8oKAi7d+9Gly5dmGWBgYGYNWsWxo0bZ9AxMjMz8fHHHyMtLQ1isRjDhg1jJrfv3r0bH3/8MVxcXGBjY4OFCxeiR48e9YrVWCiVShQWFlZrtWn+uFwubGxsmD8PDw+0atUKNjY2sLS0BIfDgUqlQkpKChISEnDx4kXweHxYW49DZmb9JUYoBD7/vBFPtBJsyTIWFhaWfznl5eVaopaXl4eCggKmK1YsFsPW1rZa683GxgbmemqHKRQKPHz4EImJibh37x5sbGzg6+uLFi1awN7eHhs3cjBrlnq8rz74+AD37hmncDUrfCwsLCyvOESE4uJiva02hUKh1WqrLGzW1tbgcrkGvY5MJsP9+/eRmJiIR48eoUmTJvDz84Ofnx+srKy0ti0pATw9gX8Sd+uEUAhs3QoMH173fQ2BFT4WFhaWV4CKiopq42yaVltBQQHMzMwYMasqcCKRCJx6Np2Ki4uRmJiIxMREpKWlwdPTE35+fmjevDmEQmGN+8bHA507q0XQUIRC4JNPgJUr6xWuQbDCx8LCwvISQESQyWQ6syTz8/NRWloKKysrna02GxubWifa14Xc3FwkJCQgMTERubm5aNasGfz8/ODj41Pn17lxA+jWTT01oabpCRyO2p9v1iwgPNy43nzPX/jS09W3AYWFat8JNzegTZvn50DIwsLC8oJQqVQoKirSmyUJQG+rzdLSEiZGMqojIjx9+pRp2clkMma8TiKRGNwVqo9nz4CNG4FVq4BymQrFpRwA6t98gZkSKpigTx8O/vtfwIAZJA3m+QgfEfDHH+qqo7GxgJmZ2nOCw1H/t7FRy/zo0UCVfmIWFhaWVwm5XK631VZYWAiRSKS31SYQCOrdJVlXVCoVUlNTkZCQgKSkJHC5XGa8zs3NrXHjIAL+/BPKFZE4ccYcV03aIltlDwtOCdyRhhC7P+DwxTi1BlhbN97r6sH4wpeTA/Tsqa49U1NHr0ik/r9vH9C7t1FDYmFhYakvRITS0lK9rbby8nKt7MjKAmdtba2zfNvzQqFQ4NGjR0wmppWVFSN2Dg4OxhHd3Fy1Bty7V7MGaMYL9+4F+vZt/DgqYVzhy85Wd2NmZwOG2o8IBMC2bcCwYUYLi4WFhaUmlEolCgoK9GZJ8vl8va02CwuL59ZqM4SysjLcu3ePycR0dnZmxM7a2K2rnBy1BmRl1U0DfvjBeCmdMKbwKRRA69ZAUhLqPH1fKFSX9377baOE9m9nwoQJ8PLywrx58150KCwsdYbD4eD+/fvw8fEx6uuUlZXpndtWUlICCwsLna02GxsbrYn3LyPFxcVISkpCYmIinjx5AolEwmRiijS9a8amokItegkJddcAgUA9PNaxo1FCM57wHTgAjBlTtzzWygQGqscDXzASiQRZWVlag7v37t2Di4tLvY9ZUVEBPp+Px48fQyKRNCi+LVu2IDo6GjExMQ06DgC4ubkhNzcXXC4XfD4fnTt3xsaNG41aW7Ah8f/666/45ptvcPfuXQgEAvTv3x+RkZFMzUWWl4t33nkHoaGhmDBhQo3bNZbwERGKior0jrcplUq9c9vy8/Ph4+PDiIRIJEK7du0wbdq0l67yioa8vDwmE/PZs2cNysRsFA4dAkaNqr8GdOoE/GNN1dgYr7N5+fL6nzAAxMUBDx8C3t6NF1M9OXLkCLp37/6iw3gunDhxAu+88w7Kysrw0UcfYdq0afj5559fdFg6KS4uxoIFC9C1a1fIZDIMHz4cc+bMwdq1a190aCzPCYVCwbTSdM1xEwgEWq225s2bMwInFAr1dklqTHALCgrA4/GQmZmJvXv3YuDAgVi7di3GjBnzHM9SN0SEzMxMJjlFKpXC19cXQUFB8PT0bHAmZoNpqAZcu6bODTFGy5+MQUICkUBApM7lqd8fn080bZpRwqsLHh4edOrUqWrLlUolDR48mJycnMjKyoqCgoLo7t27zPqRI0fSlClT6P333yexWEwdOnSgR48eERFRx44dCQAJhUISiUT0888/07Nnz6hXr15kb29P1tbW1LdvX0pLS2OOt2XLFvLw8CCxWEyenp60e/duio+PJzMzMzIxMSGRSER2dnbMay9YsIDZ98CBA/Tmm2+ShYUFeXt702+//abzXF1dXenMmTPM88OHD1OLFi2Y5zKZjGbMmEFubm7k6OhIn3zyCclkMiKiRo3/yJEj5OfnR2KxmFxdXSkqKsqg92rv3r3UqlUrg7Zlef4EBQXR5s2biYho06ZN5O3tTTY2NtSvXz9KT09ntgNA69evJx8fH7K2tqaJEydSamoqxcfH0xdffEF+fn4UHBxMAoGArK2t6eOPP6bo6Gg6duwYvfXWW/TJJ59Qu3btSCwWU48ePSgnJ4eIiHr37k1r1qzRiumNN96gQ4cOVYv18ePHBIAUCoXW8oiICHJ0dCSlUklEROnp6TRo0CCyt7cniURCq1evZrZdsGABDR48mEJCQkgsFtNbb71FN27cYNZ7eHjQ0qVLqUWLFmRtbU1jxoxhvk/6UCqV9PjxYzpx4gR9++23tHr1avrtt98oNTWVVCqVIW/D8yEpqXE0YMoUo4RnHOH74QcikahhJw0Q+fsbJby6UJPwbdu2jYqKikgmk9HkyZOpTZs2zPqRI0eSnZ0dxcXFkVwup5CQEBo5ciQRESkUCgJAjx8/ZrbPzs6mgwcPklQqpcLCQho4cCANHjyYiIgKCwvJ0tKS7t27R0REGRkZdOfOHSIi2rx5MwUFBWnFVln4Lly4QFZWVnT69GlSKpWUmppKiYmJOs+1svCVlJTQyJEjaezYscz6yZMn04ABAygvL48KCwupV69eNH/+/EaP397eni5cuEBERLm5uXT16lWd8VZl8uTJzDVmefnQCN8ff/xBdnZ2dPXqVSorK6PJkydTx44d6cGDBxQXF0cAqHXr1hQZGUmzZ88mkUhEU6dOpf3799N///tf4nK5tHTpUsrNzaW1a9dSkyZNmB/9oKAg8vLyoqSkJJJKpRQUFERffPEFEalvjNq3b8/Ec+PGDbK1taXy8vJqseoTvocPHxIAunv3LimVSmrdujUtXLiQysvL6eHDh+Tp6UknT54kIrXw8Xg82r9/P8nlcoqIiCCJREJyuZyI1L8tAQEBlJqaSrm5udSpUyf68ssvq8WiUCgoKSmJfvnlF1qxYgVt2LCBYmJiKDMz8+USu8ps3944GuDnZ5TwjCN8kZFEpqYNP2lXV6OEVxc8PDxIJBKRlZUVWVlZ0QcffKBzu5ycHAJAJSUlRKQWn48++ohZf/jwYQoICCAi3cJXlbi4OLK3tycitXBYWVnRwYMHq90R1iZ848aNo1mzZhl0rq6ursy5crlccnV1pdu3bxORWujNzMwoOTmZ2T42NpZ8fHwaPf4mTZrQ5s2bqaioyKC4iYiOHz9ONjY29ODBA4P3YXl+lJWVUceOHWnRokXUp08fGjRoEO3cuZNWr15N8+fPJxMTE4qIiKDDhw8TANq5cyelp6eTVCqloUOH0rJly4iIaNu2beTt7c0ct7S0lADQ06dPiUgtfIsXL2bWr1u3joKDg5kYbGxsmBuwmTNn0ieffKIzXn3CJ5PJCACdP3+eLl26RO7u7lrrly5dSmPGjCEitfC9/fbbzDqlUknOzs4UGxtLROrflvXr1zPrjx07Rl5eXszrxMfH0759+2jZsmW0bds2unjxIuXn5xt6yZ8LFRUVJJPJqLCwkHJycigjI4OSk5Mpe948UjaGBri4GCVu44zxmZoCjVBhIL+0FGsWLmyEgOpPQUEBBg0aBO9KY40LFy6ESqXC6dOncffuXUilUmasYP78+bC2tkZ8fDxsbW2x8J/4Hz58iLS0NCxcuBBKpRIAsGrVKtjY2ABQT3o9ceIEHj58iLKyMmaZZv++ffti5syZ+PDDD9G0aVMEBwfD3t4eV69eRXJyMrMdAMTHxzOvFRMTgxYtWmit10dRURGGDBkCT09PqFQqJCQkoF27dvjss8+gVCpRXl4OX1/favstXLiwUePv06cPIiIiMGXKFDg5OaFHjx5wc3PTG3dqaip2796NkJCQV8rr7HUjIyMDcXFxSEpKQvPmzfHo0SMAAI/Hg0AgQEJCAkr/KeUfFxfHrL937x4yMzNRXl6O69eva32uNCxduhR2dnZITk7G33//zay/fv067t69yzz38vLCxIkTERQUhE2bNiEkJETnd0NTRWXRokVaY2V5eXkA1HZDWVlZSEtL03IvICI0bdqU+e4VFxdrHd/ExARr1qzBn3/+iYKCApw7dw5ZWVkAgOzsbKSmpuqMJyUlBSkpKfjtt9/qcslfGG1v3EBPlQoNVgE+vzHCqYZxsjp//hkYNw4oLm7QYQr9/XHm//6PGbguKyuDtbW1zrkzNjY2RpkYKpFIsGXLlmrJLdu2bUNkZCSOHj0KDw8P5ObmwsHBgcnUDA0NhY+PD8LDwwEAp0+fxoQJE5CcnAylUgkej6eV1blgwQKcP38eP/74I5ydnXHlyhW0a9cOVd8emUyGuXPn4ubNmzhz5gy2bt2KXbt2aWVFVn7t8ePHw9bWFhEREbWeq5ubG6Kjo/HOO+8wy2xsbLBt2zb069cPQqEQqampcHJyqrZvY8avQaFQYPXq1Vi3bh0eP36sM+YrV66gd+/e2L59O3qzhQ+MSkVFRY1z28zMzPTObROLxXj33XcRGhqKixcvws7ODitWrACgdmO3trbG/fv3IZFIqmV1jhkzBm5ubliyZAm2b9+OLVu24Pz580xclbevmjladfuLFy8iLCwM69evx6effor79+/rPNfk5GR4enpCoVBo/a6sXLkSERERePr0KS5fvoxRo0bpPUZ4eDhOnjyJS5cuAVBXSnF1dcW+ffsQGBgIiUSCKVOmoGPHjkhMTMS5c+dw4sQJHD9+nKmcIpfLtf4UCoXO51WXV10GAKampswfn8/X+7ymdVWXcblc3QlCBw8CY8cC/yQJ1Zu33wb+uX6NiXFafO+/r57D0RDEYljNno0BAwYwi+RyuVYGV25uLh48eID8/HwUFBRAKBTqnXfT2KWAiouLYWZmBjs7O0ilUnz55ZcG78vlcmFnZ4dHjx4xwldcXAyhUAgbGxvk5uZi0aJFzPZPnz7FlStX0K1bN5iZmUEkEjF3oU5OTkhLS4NCoQBfx93R+PHj0adPH/Tu3RtBQUHIyMhAaWmpzpZbZYgIhw4dQnFxMfz8/MDlcjFhwgRMnz4da9asgb29PdLT03H37l307Nmz0eKXyWQ4dOgQ+vbtC0tLS1hYWOjNTrt58yZ69+6N77//nhW9RkJTJFlXlmRpaSksLS21vmMeHh5MRRJD57aNGDECw4cPx4gRI9CiRQvMmzcPb7/9doOn9hhCx44dYWJigpkzZzLu74aQlZWF/fv3Y+HChVi1ahWUSiUCAgIgEonw1VdfYdSoUQDAtFqbN2+OJ0+e4MqVK1iwYAHatm2LgwcPQqlUIiEhAVeuXEFhYSFWrFiBMWPGgM/n488//4Svry9Onz5dq+Dw+XyYmZnBwsKi1m01AvVcCQ5uFA3ARx81TjxVMI7wicVAWJh69n1DTj4kROupqakpHB0d4ejoWG1TTfHXyl/UpKQk5gtMRHrvRq2srOpc/HXs2LE4deoUXFxcYGdnh4ULF2LTpk0G779w4UKMGDECZWVl+OGHH/D5559jxIgRsLOzg6urK6ZPn44jR44AUFeRiIiIQGhoKDgcDt566y2sX78eANCjRw80a9YMTk5OMDU1RWZmptbrdOrUCZs3b8bUqVORnJwMZ2dnrF+/Xq/w9erVi7mLk0gkiI6Ohp+fHwAgMjIS4eHhaN++PXJzc+Hm5obJkyejZ8+ejRb/48ePsWPHDkyePBlKpRJ+fn7YtWuXzlhXrlyJ3NxcjBkzhkkv9/b2xs2bNw1+H143dH1PKgucSqXS+m64uLjgP//5T72/J1XhcDjo1q0bFi9ejMGDByM/Px+dOnXCnj17GukM/wcRoaKiAkqlEvn5+Uzrp2/fvvj222/xzTff4MqVKzpbT2lpaQAAsVgMIoKpqSnc3NwwZMgQpKenY8WKFTA1NcXAgQNx5MgRrFmzBhUVFXBxccGIESMgFotRXl6OTp064dy5c4iIiICDgwM+/PBDFBcXw8PDAwKBAGPHjsWBAweQmZmJ/v37Y8OGDbVa/bwSiETqOXxbt9Z98roGIqNV8DLeBPaEBPWs/Zp8KPRhZqZW+tWrGy0cfXey+fn5KCkpqWb3UVkcX8jkTxaWelK1Z6SyyBUWFursGdF83o1ZJLl169b4+uuvtXpxALVAGdJdV/V5Tes0z/l8frXW0N9//42zZ89i6dKltbaU9D2v7QagoqICM2bMwK1bt9CnTx9YWFjAz88PLVq0gKOjI3NjqWsY5V9DUhLw1lv114CJE4Hvvmv8uGDMCewtWgDz5gHLlgFSaR0i4gEeHsCSJY0ajkAggEAg0FlxpfLYheYHIiUlpdrYhaZLp+rYxctUl4/l3w/9UyRZX6tN11i4j48P47atq0vcEFQqlUGCo0ugHj58iNu3byMpKQnr16/X2lapVOoUKH3jTmKx2GDBqvrdlEql2Lx5M+bNm4dBgwY1xtvBUF5ezriTP3jwAKmpqTAzM8OECROYJLbXCl9f4Kuv1L/lddWApk2BpUuNFppxy4R/+aXad+/77w07cTMzwN0diIkBLCyMGlpleDwe7O3tYW9vX20dEaGkpETrB+bhw4fMc4VCUe3OubJIvvDqCSyvJEqlEoWFhTp7KPLz88HlcrVuwCQSCd566y2mIklFRUU1MSooKEB2dna9W1MagTK0daQZf1q3bh2OHz+OOXPmYMSIEdW21yVQxuC3337DoEGD0L17d4wYMaJRjllSUsLUxExNTYWHhwf8/Pzw/vvvo6ysDA8ePHg9RU/DnDlqDfjuO8M1wM0NOHvWqBrwfPz4duwA5s5VZ3nqKmEjFKp9+UJC1BfI0tLoITUW5eXlOq1J8vPzUVRUBLFYXKP3FsvrS2lpKbKzs5Gbm4vc3FzGr624uBhSqRTm5uYQCAQwNzdnBEIz/qpUKvW2tFQqVZ267wzN4uPxeGzvBtRTHTQ1MbOzs+Hj4wM/Pz80a9bspS9e/cLYtUstgkVFNWvA0KHA2rVG14Dn58CuUKhrt0VGAgUF/1vO46mzQFevBry8nksozwuVSqX3rj0vLw8mJiZ6s1AtLCyM5rbMYjhEBKVSWaeuvcrPpVIpZDIZysrKtFpOmq8dh8NhioLz+XxG7EQiUZ3GnQxKMWepF0SErKwsxp28pKQEzZs3R4sWLeDp6flC/fVeJZQVClyJXgGTlZHwepwPoRxQcIE8Cx4eDgvGW/PWwNbl+WjA8xG+zZuB+fPVg5y65vYJBOoMnoED1d2iz8GB90VDRJBKpTotUfLz8yGTybQSbqoKZH3Haf6taDL4DE2MqMs8KBMTE72Cw+PxGHHUvH55eTlkMhmkUinT5ad5L21tbWFvbw8HBwdYWlqyAvWSolKpkJaWxrTsADAedu7u7uxNaR354foPmPvHXEgVUpTIq7f4BDwBCIT+vv2xse9GWJsbVwOMK3xEwPTpwJYthvfvNmkCnD8PGNEK51VAX9V5zZxFc3Nzva3FmqrOv2iIqMaxpPpO0lUoFOByuQbNf6prN6CmO1tXlqRUKoWVlZVet202I/jVoaKiAo8fP0ZiYiKSkpIgFosZsXNycnppv1MvM0SEmb/PxMarGyFV1K4BplxTNBE3wYVxF+BqaTwNMK7whYcDERF1y+jhcgGJRG1J8RzH+gz1CnsZGDNmDBwcHDB58mSDfMaqzlk0JOFGpVLVKDi//PILfv31V0RGRtYqUFWFTp8I1UWcdAlUfe/CNV3S+rIkORyO3utpaWnJ3v1XITw8HA8ePKhT+biAgACsW7dOq2qQsQkPD0dSUhK+/PJLJhPT0dGRETtbW9vnFktlYmJiEBoayswlfJVZfHYxll9YjlJFqcH7cDlceFh74Nqka7AytzJKXMbrnL5zB1ixou5zOJRKIC0N+PJLSI4cQUZGBjIyMrQyLlu1aoWbN282ipHry46uEk0AYGZmBolEgqZNm1YTmOLiYqZlWFBQgLS0NJSUlEAqlUIul2uNBZmYmODOnTs4efIkMjMzwePx4OPjg27dusHBwUGvOLVo0QItW7ZEaWkp051X3xTz2oxHt2/fjvHjx1dLBrp37x7s7OwMuo5yuVxvq62oqAgikUhruoq/v79W1R8WbX766SdERUUhMTERFhYWaNWqFb788kt06dKlXse7c+dOrdvoKyNWV0pLS5GUlIRbt27h0aNHuHnzJpOJWR8T44sXLyI4OJjJtgWAiRMnYu/evdWWcblcbNiwoU7Hf1Xn+yXkJGDZ+WWQVeCJ0UMAACAASURBVNRNA5SkRFpRGub+MRff9/neKLEZT/i+/bb+M/bLy4Ft2wA7O3h6emL37t2YMmUKAODWrVuQ1WdC5D9UVFQ06mC0ocfTJEjUdZLulStXkJOTgx07djDr7t69iydPnmDJkiVQqVS1Co6TkxPc3d0ZsdPEUlZWhjNnzmDnzp0YOnQovLy8oFQq8eeffyI6OhqbN2+Gh4cH07qxsLAAh8Np9GtoCB07dqwm/pWpPO1E15hpeXm5VqvN3t6eMSW1trYGj8d7Ief1KhIVFYVvvvkGGzZsQHBwMExNTXHy5EkcPny4zsL3vK55QUEBM16XlZUFb29vODo6wtTUFCNHjmzQsdu2bQulUolr166hXbt2AIBz587BxcVFa1lsbCwWLFjQ4HN5VVh1eRUUqvppgFwpx46bOxDRIwIiU1EjRwYjGdEWFTXchFAsJg87O1q8eDG1bduWOfTMmTNpyZIlWrY+lQ0uidTWJZ07d2aeA6C1a9eSj48PSSQSIiL6/fffydfXlywtLWny5MnUtWtX2rRpEykUCiotLaXvvvuOmjVrRlZWVhQYGEh//vkn3bp1i65evUoAaPr06eTq6kpOTk70yy+/0P79++nHH3+kbdu20aZNm2jSpEnk5ORE5ubmJJFI6LPPPqNly5ZRZGQk2dra0uDBg8nNzY0EAgF17NiR9u3bR8eOHaNTp07R2bNn6a+//qL9+/eTqakpmZiYkFAoJEtLS8rKyqIPP/yQJk2aRL169SKxWEzt27fXsuNJSEig7t27k42NDTVv3pz27t2r821SqVTUtGlTWr58OfO8uLiYkpOTydvbm8LCwujgwYM0duxY8vDwoE6dOpFQKKQBAwbQ559/Ti1btqSkpCTKycmhW7du6X3N0aNH06effkq9e/euFm9gYKCWKe+ePXuqxal5PysqKujZs2d07949unz5Mp08eZJWrVpFQqGQPv30U1qxYgWtXLmSLCwsKCoqiq5fv05vv/02ff7559SuXTuytLSk/v37U25uLhH9z3pmy5Yt5O7uToGBgUREdPHiRerYsSNZWVlRy5Yttcx5t23bRp6eniQWi0kikVB0dDQREd2/f5+6du1KlpaWZGdnRyEhIbV8SV5NCgoKSCQS0b59+/Rus2DBAho6dCiFhYWRWCwmf39/iouLY9Z7eHjQN998Q2+88QaZmpqSQqHQ8r28fPkytWnThiwsLMjR0ZFmzJhBRETu7u4EgEQiEYlEIvrrr79IqVTS4sWLqWnTpuTg4EBhYWFUUFBAKpWK/v77bwJAI0eOJAsLC7KxsaEvvviCsRqqLc6aTGar8t5779HKlSuJiCgrK4s8PT3p66+/1loGgJ48eUJERD/88ANjtuzp6UkbNmxgjnXmzBly/ceSLTQ0lDgcDpmbm5NIJKLly5fT5MmTmWsgEomIy+VqGU+/DBSXF5NwiZAQjnr/iZeKacvVLUaJzzjCt28fkYVFg72YPExN6dSpU9S8eXO6e/cuVVRUkJubG/ODdffuXcrPz6dOnTrRihUr6NGjR5SYmEiLFy+mN998k/766y86e/YsAaBWrVrRrl27KDo6mtavX0/m5uY0adIkWrVqFfXv359MTEzogw8+oEWLFlFYWBjZ2dnR/Pnz6fvvv6eBAwdSs2bNaP/+/fTLL78wRplHjhyhM2fO0NWrV+nWrVuUlJREjx49otjYWBIKhXTo0CEqKCigZcuWkbe3N2N46eHhQe3ataP09HTKzc0lPz8/LV+uylQVcSK1kNjY2NDly5dJoVDQiBEjaNiwYUSkNpB1c3OjH374gRQKBV29epXs7OwYX73KJCQkEADGGb4yX3/9NXXo0IGJgcvlUlRUFKWlpdH169dp3rx55O/vT7t27aKIiAiytLSk4cOH05YtWygyMpKsrKzo0KFDlJaWRiNHjtQbL5H6xuT+/ftERCSVSik9PZ1u375NsbGxdPjwYRo/fjx5enrS4sWLafXq1bRz5046cuQInT9/nu7evUsRERHk6+tLpaWl1LNnT5o5cyZz7KCgIHJxcaFbt25RSUkJDRo0iDGr1XyOwsLCqKSkhKRSKaWlpZGtrS0dO3aMlEol/f7772Rra0vZ2dlUUlJCFhYWjJFvRkYGc12HDx9OS5YsIaVSSTKZjM6dO2fAF+XV48SJE8Tlcqv51FVmwYIFZGZmRseOHaOKigqaM2eOli+dh4cHvfnmm5SamkpSqZRZphG+Dh060M6dO4mIqLi4mC5evEhEuj3ytm7dSt7e3vTw4UMqKiqi4OBg6tatG61evZq++uorAkD9+vWjoqIiio+PJ3t7e+Z1aoqzNpPZqoSHh1P//v2JiGj//v0UFhZGv//+u9YyT09PZvujR4/SgwcPSKVSUUxMDAkEAsZwubLwVb02Vbl+/TrZ29vTtWvX9L4fL4Kf7/xMlsssGyR8CAe139S+9herB8bpY8jKqn83ZyWoogInT56En58fpk6dColEAnNzc2zbtg0AsGPHDjg7OyM7Oxu3bt1iui4yMzMhl8tRWFjIpP1PmDABAQEBMDU1xbFjx+Dn54cFCxbA1NQUo0ePRkBAAHr37o1JkyahV69eWL58OcaPHw8A+OijjyAWi9GuXTt4eHgAACIiIvDee+/pjDs6Ohp9+vRhahLOnj0b3333Hf766y9m8H7q1KlM+bR+/frhxo0bdbo2gwYNQvv27QEAI0eOxOeffw4AOHr0KCQSCcaOHQtAXR9x8ODB+PnnnxEQEKB1jGfPngEAmjRpUu34TZo0YdYDgIuLC2bMmAEAcHV1xY0bN2BjY4PQ0FDs3bsXLVu2xPr165muxS5duuCnn35CdnY2EhIS4O3tjRs3biA5ORnNmjXD1q1b8dtvv6HinyLme/fuBY/H01kkuXnz5ti+fTtWrlzJxGNnZ4eHDx8CAFq0aIHY2Fi8/fbb4HA4+PXXX7XOJSwsDP/5z38AAIsXL0arVq2wY8cOZn14eDhEInV3SnR0NHr37s24PfTo0QNt27bF8ePHMWTIEJiYmOD27dto2rQpmjRpwlw7Pp+PlJQUZGRkwM3Nrd5jXS87ubm5sLe3r7V7skuXLsw1DAsLw6pVq7TWT506Fe7u7jr35fP5ePDgAZ49ewZ7e3t06NBB7+tER0cjLCwMd+7cQVJSEjp06IAlS5Zg27ZtqKiowOLFi7FixQpYWFjgjTfewNixY7F7925mvExfnHFxccjJycHXX38N4H8+fnv27EFwcHC1OIKCgrBmzRoQEc6dO4fAwEB07NgRoaGhzLKgoCBm+z59+mjt27NnT5w7dw6tW7eu8bpWJicnBwMGDMB3332Ht956y+D9ngdZpVmQK+WNchxjYJx0NLlcPQu/oRChqKgIrVq1wrVr13Dz5k1069YN/v7+AMAkWIjFYri5uaFly5Zo2bIl3N3dIRKJ0LJlS7z55psAgK5du6Jly5YICAiASqWCj48PXFxcYG9vD2trazRt2pTJzktJScG0adNgbW3NJDsQEdLT05nQ9H1pAbXhpkYgAbX5pLu7u9b+zs7OzGOhUIgSXdUMakDf/ikpKbh8+TITu7W1NX788cdqrg0AmIShp0+fVlv39OlTrYSims5X85oSiQStW7dGt27dcObMGXC5XLRs2RI2NjZo0qQJpFIpkpKSkJ6ejuLiYty6dQu3bt0CoE44cHZ2Zt7Dyn+Ojo7o0KEDk6xTUFDAiJ6GiRMn4vbt25gyZUq16hmVY/fw8IBCodAS9crrU1JSsH//fq3rd/78eTx9+hQikQh79+7Fhg0b0KRJE/Tp04eZ47VixQoQEdq3b4+AgAD88MMPeq/Xq4ydnR2ePXvG3LDoo+rns6ysTGufmj5PW7duxb179+Dn54d27drh6NGjWuvlcjnu3LmDAwcO4Pbt28jLy4OtrS3GjRuHOXPmQKlUwsTEhEmiqvr+Z2Rk1Bqn5iam8udg6dKljGlsVTp06ICSkhLcvn0bsbGxCAwMhFgshru7O7Osa9euzPYnTpxAhw4dmISq48ePa30ma0OhUGDIkCGMxdOLRJM49uTJEyQmJuLKlStIuJeACmUDbYmAeo8R1oZxWnw2NmrnXHnDFJ/D46F3797o1KkTfv/9d9y+fRsbNmxgPtAarzZTU1Pk5eUhNTUVcrkc165dQ0FBAY4cOQLFPy3PHTt2MKnn8fHx+Pvvv7Fu3TpmEnJSUhKuXr0KBwcHCAQCTJ06Fb169aqWOJKcnAwATKV7TSJJ5WoZLi4uzA86oE68ePLkCVzrMTexrnOH3N3dERQUhFOnTtW6ra+vL9zc3LB//37Mnj2bWa5SqXDgwAGtKvqV4yAilJeXQy6XIz4+HiUlJfD398e0adOQl5cHmUzG3DBoiny7urpi5MiRsLa2xoULF3DixAnMmjULADB37lwMGDAA1tbWTHJKcnIyk6ASHx+PrKwsHDp0qNqUApFIhNLSUkyfPh3jx49HeHg4Bg8erJWK/uTJE+Zxamoq+Hw+7O3tmeWVz83d3R1hYWHYvHmzzmsWHByM4OBgyGQyzJ8/HxMnTsS5c+fg7OzM7HP+/Hl0794dXbt21Zup+qrSsWNHmJub45dffsGQIUPqfZyaPtfNmjXD7t27oVKpcPDgQQwZMgSpqalM5mdUVBQkEgn8/Pzg7+8PX19fdO7cGYA605fH4zE+j4D6/ddYa6WmpuosVF8Vd3d3eHp66jWZrYq5uTkj0k+fPmVeLzAwEEePHkV8fDwjfOXl5Rg8eDB27tyJDz74AHw+HwMGDKhm2lzTtZoyZQosLCywpJGL+WuQy+UoKSlBSUkJSktLq/2v/FilUkEkEkEsFkMkEkEkEkFoIgTfhN9g8bMye5WmM3Tu3PAWn6kpYG4OsVgMR0dHREdHIz8/H61bt2buHFu3bg2JRILu3bvjwoULiIqKQkZGBubNmwcnJyd89I+J4ZQpU/Dxxx/D29sbSqUSGRkZCAgIgFAoxHvvvYetW7eiqKgIzs7OcHd3x9ChQ7Fp0yZ4eXnB1dUV+fn5uHr1Ktq0aQP5P2J+/Phx/PXXX0z2JQBGJOVyOQ4fPozZs2cjICAAp0+fZooOnz59GuXl5bh79y5jefTs2TOUlJQgLS2tWnamo6Mj0tLSIJfLDZoM3bdvX8yZMwe7du1i7gRv3LgBsViMFi1aaG3L4XCwcuVKTJw4EW5ubhg4cCAKCwsxb948FBUVYcyYMXj48CEeP36MgoICJj07Pz8f169fR15eHu7du4d27dph8+bNyM/Px+jRo2FpaYmbN28yr7l3717Y2dnBwcFBZ8xOTk4oKChgum4rQ0TYsGEDHj16BE9PT+Tl5THmw/n5+VAoFDh69CgcHBwwdOhQ5ObmIjQ0FLt27YL1PxWAoqOjMWrUKEgkEnz99dcYMmSI3rmMoaGhaNeuHX777Td0794dCoUCly5dgo+PD/h8Pi5fvoxu3bpBIBBALBYzx9m/fz86duwINzc32NjYMKXI/m1YWVlh0aJFmDx5Mng8Hnr27Ak+n4/Tp0/jzJkzjKt6Q4iOjkZwcDD4fD4yMjKgVCqxceNGeHp6wsTEBB988AHeeOMNAOr3a/ny5ejVqxccHBwwb948DBs2TKsrdvHixdi8eTMeP36Mbdu2GTS/sH379rC0tMTy5csxdepUmJqaIiEhATKZjMnSrErXrl2xatUqRoQBdVfqp59+CmdnZ3h7ewMAU93HwcEBPB4PJ06cwO+//850x1fFyckJjx49Yp5v3LgRZ8+exeXLlw2eQ0r/WD9VFrCaxIyIIBaLtcRM81usWaZZb2pqWk2c/fP8sWb9GoNi0wffhI+e3j0bdAx9GEf4mjcHWrYELl+u/zFMTLSqc2s+NLqYMWMG4uLi4OTkhJYtW2LkyJE4ffp0te04HA54PB6aNm2K/fv3Y+rUqZg+fTrCwsLQuXNnuLq6onXr1mjdujVcXV2xYsUKpKSkwMrKCj169GAquo8dOxZhYWFad/OV6zkqFApIJBJ88803jOnr2rVr4ezsDLlcztjKpKenQy6X4+nTp8jOzsaJEyd0Tm8wNzeHtbU1TExMEBkZiQcPHqCgoAD79u1jvpDl5eU4e/YsTE1NERUVhdWrV2PatGkgIvj7+2PRokVwdnbWKrUll8sRFBSEpUuXYvHixRg3bhx4PB58fX0xbNgwHD16FLa2tigsLISJiQn+85//MC2tPXv2ICMjg7nrj4mJweeff45ly5ZBpVLhzTffRFRUlEFvdXh4OEaPHg2ZTIZNmzYhpJIBMYfDgUAgwLVr16qNm505cwYpKSl4/PgxDhw4ACLCiBEj8Nlnn2H69Onw9fVFWloaWrVqhQEDBiA9PR3t2rXD2rVrUVZWpjMWd3d35qblww8/BJfLRfv27bF+/XqoVCpERkYiLCwMHA4HrVq1wvffq+cZxcXFYfr06SgsLISTkxNWr14NT09Pg87/VePzzz+Hk5MTlixZgpEjR8LCwgJt2rTBl19+2aDjEhGys7OxY8cOfPrppygvL4eTkxNWrVqFSZMmgc/n4969e3jvvfegUChw8uRJjBs3DhkZGejatSvKysoQHByM76p4uAUFBcHHxwcqlQqzZs1Cz561/5hyuVwcOXIEM2fOhKenJ8rLy+Hr61tjCysoKAjLli3T+px26dIF2dnZWt2RFhYWWLNmDUJCQlBeXo5+/fqhf//+eo87d+5cTJkyBbNnz8b8+fNx9OhRPHr0iGm5EhEmT56M0aNH62ydaf5zOBwt0dL8d3Z2rrZcl5jVBR9bH7R2bo2/0v6q9zG4JlxMaT+l3vvXhPEqtxw6pHbgrePYFUNQkNqe6DWnahX+us4DlMlkkMlkTNekxpFag4mJCVMk2czMTKtIspmZWZ2KI+uboP6iUCqVCAoKQu/evdGzZ89qk9e5XG6NFVlelvP4N0NESEtLYwpAK5VK+Pr6okWLFlrj7vWhsSa8P0+ICGVlZQa1ykpKSsDlcquJVuXWWFUxe54cTjyM0EOhOmtzGkJg00DEjo1t5KjUGO/T0K8f4O2tdmKv61ifUKgudcYCLpcLLpcLc3Nznes1JrqaH3VNd0ZlE11bW1u4uLho/cBbWVnB1NTUYEfr4uJig+pmVi5J1lh2OPUtScblcsHj8eDo6Ii2bdtqraN/ioRXFsOUlBTcuHEDeXl51cxcq9bgZIuE1x+lUqlVE1MgEMDPzw+DBw9GkyZN/nU3HEQEmUxWTbR0iVlpaSl4PJ5OMXN1da3WWnuZP4d9m/dFM9tmuJNzp84ZnkK+ECt7rqx9w3piPOHj8YDTp4G2bYGnTw0XP4EA2LkT0NOP/rqhuQOs/ANd+XFpaamWi4PGlFTzuLa7PH2C2pB46+KKoHESN0SAeTyeQcWlKy8vKSlBRkYG7t+/r3NbV1dXnRmGCoVC63rn5eUxBsQFBQUQCoVaQli5tfgyFwl/Ucjlcjx48ACJiYm4f/8+7O3t4efnhzFjxhhcdu5lQnPjVFPiR+Xnpqam1URLUyav6vJXpXVaG1wTLk6FnULbTW2RUZJhsPgJeAJs/2A72rtWH/NvLIxvS5SXp/bbu3tXXaxa38uJRACHAxw4ABjQB/9vQqVSoaioSG8tSQDVqv9rfnRflyLJpMN2yBDrIUO6iSvbDhnSSuXz+cyYbnl5OfMDWFxcjKKiIhCRTispTUv7dXi/ADDTVxITE5GcnAw3NzemALSFEd2164tKpYJMJjOoi1EqlcLMzMygLkaRSPSvEbP6kC/LR68fe+F29m1IFVIQdGuAiK+eS3sg5ACCfarPlWxMno8fHxFw7hxUKyJAv5+C3MQcUBHA4YCLCpg4O4I3dzYQGgrUo0jsq4BmrouuVlthYSFEIlGNTu1sC8I4aAS1Lq3U2gRWM56qyezUvHcqlQpKpZIRUnNzcwiFQohEIlhYWMDS0hJCobBWEX6ZjWYLCwuZmpiZmZnw8vJi3MlfRLFvlUoFqVRaaxdjSUkJZDIZzMzMdGYz6vr/b8zaNRZEhPOp5xFxYQVOPfgNZioTEKnAAQcVJoCDhRNmB85FaMtQWJgZ/6bouQhfVhawbp3aUd5GngVJ6W3YIB9SCPHM1BW3OC3RoycHs2cDr2rBC02mpr5WW3l5ebUuscpdZa/zHeG/Eark3F412UgzCb+wsBDFxcUoLS2FVCpFWVkZTExMwOfzwePxmEnYmmNpxlABGJRkZGgrVvNXH0ElIuTk5DDJKQUFBfD19YWfnx+8vLyMMgalVCqriZm+/2VlZTD/Z1pUTSImFoshFApZMTMW2dlqAVi7FlmmctwWliJfAAgVgEu5Kd7MAjjdewBffAEEBho9HKMLX1ycuueyrEz9pzcQjnp4b9o04P/+T/38ZUOpVKKgoECvAwCfz9fbatM4G7Cw6IN0OExUvoGSy+VMFRFLS0umhSgUCmFmZlYtA7gurVS5XA6VSmVQkpGpqSkz7pydnQ0igpubGzw8PODu7g4zMzOtfXk8Xq2ffaVSWaOIVW6tlZeXM/Moa+tqFAqFr03X8kvLlStqEZDJDBOBKVOAZcuMKgJGFb5r14CuXYFSwz0IIRQCkyapXY1eBGVlZTp/dPLz81FcXAwLCwu9zudVS2UBwMcffwxXV1d89dVXOl+vNi+6yojFYsTHx8PLy6vWbety3JeZ1NRU+Pv7o7Cw8LW/Gy8vL9e60ap841XZU1DXZ9OQbkaVSqVXFMvLy5GRkYH09HRkZmYyU0EsLS3B4/FqFFWlUslkJ1duxRIR0/2r6QJeuHAh5s6dCzc3N+zcuZMpRHHv3j0sWrQIV69ehYWFBczNzV+qqTNVOXToEKZOnYr8/HycO3fupaul+dy4fl0tAnWZ1iYSAePGAWsaNgG+JowmfEVFgKenOrelrgiFwJYtwIcfNn5cRITi4mKdPx51cS+XSCSNYpJrLIGq6bj6zG0r0xBH+nfeeQeXLl0Cj8eDubk5unbtinXr1ukshs3SOFR2kdfV1W5iYlJnF3m5XI6HDx8iMTGRMf1t1qwZ06qrbdzs9OnTSEtLw7Rp0yASiZhSgG5ubli+fDkzXhkSEoKPPvoI7777rpZwRkZGwsbGBgMHDkR8fDy2bNmChQsXMttovPzqkuVryNQZX19fZGVlgcfjgcvlwt/fH6NGjcKkSZMMbj16e3sjKioKH3zwQWO/1a8OxcVqEcjNrfu+QiGwaRPQQK9EfRhtYGnnzppbtTUhlQJffQUMH16/1q5CoWC6JKv+CBQUFMDc3Fzri9+sWTPmeV1S0RvbJPffxNq1azFhwgTk5eVhyJAhmDFjBvbs2VOnY7DGsIZTWdiq9gho5pFV/i48efIE8fHxyMvLg1QqhYWFBTMvrLy8HMXFxSgpKYFAIGAKGzx79gyZmZnVkj40Lc2mTZtqLe/cuTP69OnDOI9nZmbC1NQUqamp6Nq1K7MsLS0N48aNq1ZD8+eff4abmxvCwsIQExOD3bt3Y+rUqVrnVZfiDqWlpSgoKKi167ewsBDDhw+Hv78/lEolkpOTMX/+fPz444+YPHmyQaKakpICBwcH5Obmam3zWnW77trVcBEYMcIoXZ5G+VUhUs8/l0rrf4zMTHXFM12OJLq+yJVFTiqVVpt87OXlxTxurAH3sLAw7Ny5kxG+HTt2YNSoUZg/fz6zzZgxY+Dm5saUOoqIiEBUVBQ4HE618kdjxoyBSCRCcnIyYmNj4e/vj59++okp11a5FZebm4sxY8bg7Nmz8PX1RXBwMGJiYrRacadPn0avXr3w7NkzjBgxAmvXrkViYiI+/vhjKBQKZs5QQUFBjecZExOD0NBQzJgxA8uXLweXy8XSpUsZ66OasLW1xeDBg7F+/XoAwLFjxzB//nw8fPgQVlZWTGFp4H+VNjR39hKJBDt37tSqvrF9+3YsWrQIOTk5sLe3Z8pmsWij+aGvLTW/vLycmZNWUlLCdDny+XwIBAKUlZWBiGBtbQ1XV1fY29tr3TSKRCK9N4rt27eHQqHAjRs30KZNG8TGxuLdd9/Fo0ePtJZ5e3szomdoD0hGRgamTJmC2NhYiMVizJgxgxHF8PBw3LlzB2ZmZjh8+DAkEgkOHDiAAwcO4Ntvv4WZmRm2bt2qt3TZxo0bMWzYMAQGBjKi2KdPH3zwwQf473//C4lEgjNnzmDdunVIT0+HUChEjx49EBISgtLSUowfPx5KpRLvvvsuLCwsMHfuXKSnp+PQoUPIzMyEpaUl+vXrh9atWzPdtb/88gsuX74MhUKBzp0747PPPmPqYBqSpPTSDQNoRKAu41xVyc4GLl4EOnVqvLj+wSjCd+FC/bo4KyOVEr75RoGoqDSd420cDkfrC+ju7o6WLVvC1tYWFhYWz+XOqkOHDti1axcSEhLQvHlz7N27F+fPn9cSvsqcPHkSK1euxB9//AFPT09MnDix2ja7d+/GyZMn0bp1a4wePRpffvmlzpbS5MmTIRKJkJmZieTkZAQHB2tZIQFqb764uDgUFRWhTZs26NevH95//31s2LCh1q7OqmRmZqKwsBDp6ek4deoUhgwZggEDBsDGxqbG/Z49e4YDBw4wYxwikQg7d+5EQEAAbt++jR49ejC1NDWcPXsWCQkJMDEx0bKBKS0txdSpUxEXFwdfX188ffqUmef4b0dTZLi2LEbNfyKqluwhEong4OAAiUSCiooKPH36FCkpKVqZmN7e3lo3hlWHBvLz83H//n29QwNV5yy+/fbbiI2NZUQuMDAQLi4uWssq2/UYgkqlQr9+/fDBBx9g9+7dSEtLQ/fu3ZkbQAA4cuQIDh8+jO3bt2PcuHEIDg7GhAkTkJ6eju3bt+Ojjz7C48eP9b4Gj8djrhmg9sx0c3NDeno6+vfvj7y8PBw4cEDrcxwSEoKRI0di5MiR4HA4uHPnDnx8fKBQKNCiRQtMmDABM2bMQExMDIYNG4Zx48bBw8MD8+fPh1QqFJjj/gAAIABJREFUxaFDh6BSqTBv3jz8+OOPGDNmDIqLiw1KUALQ6Fm+DZo6c/EikJNT9/0qI5UCUVGvjvDdvdtwcwYiDv76qwTnzp1jvkwBAQFac9teBjStvqCgIPj5+dVoPbRv3z6MHTuWqcIeHh6O3bt3a22jz2C2MkqlkvEiEwqF8Pf3x+jRoxFTpbbpnDlzmCzAd999Fzdu3MD7779fr/Pk8/n4+uuvwfvHKkosFjPGn7qYOnUqZs2aBZFIhHfeeYcpWK0x4gWAli1b4sMPP8TZs2e1hK+yMWxV9BnBvopo7J0MFTMOh6Mzi9HJyalaar6pqXaRYY2fZGJiIv7++2/I5XL4+fmhR48e8PDw0Nti4HA4TAaprjFrTTKYpsclMzMTCQkJTDKYmZkZoqOj4ePjg5MnT6JPnz4wNzfHnj17MGPGDJw7d07nZ7wmDDGJDQwMZB4PHToUBw8exJw5c8DlcjF8+HBMmjQJBQUFjIOHIbi4uDA3WoZ8jjVcunQJJSUlmDt3LkxMTNC7d2/07dsXv//+OxYsWIB9+/YhPj6e6dmJiIjAiBEjDHKR0FC5SL4hXb8lJSUGlSAkonpNnXE6dQouKlXDDF+JgPj4hhxBL0YRvqKiRjFgB59vi9GjRzf8QEYkLCwMXbt2xePHjzFq1Kgat83IyECbNm2Y51VbaIBhBrU5OTmoqKjQKrWlq+xWQ81uK2NnZ6c13lbb8dasWaMzMeby5cuYM2cObt++zWQLDh06VGsbfSalGiPYlStXYvz48ejcuTMiIyMZ77OXAY2YGWr/YmJiolPMNBXzq4pZXVAqlUhJSUFCQgKSkpJgZmYGPz8/DBw4EC4uLo2SEWlubq73BkSpVOLIkSMYN24chEIh8vPzUVRUhMzMTPz5558IDw/HrVu3UFpaij///JPpPSguLtbrTQdAyyS28msFVpr/5eTkxDwWCASwt7dnxF1z01xSUlIn4UtPT2d8Hg35HGvIyMiAu7u7Vi+Uh4cH0tPTkZOTA6lUqvW7oJm3WRe4XC4EAkGjNwh0TZGpqeUplUrV5QUfP0aTxhCBBvxm1YRRhE8sVpfqbOh5V1QU4ddfY+qVmv288PDwgKenJ44fP46tW7fWuG2TJk2qmaLWB42PV1paGpo3bw5A22y1Nl5kCrjGNujEiRMwNzfH9OnTqzlP1xSfPiNYY6Kpl6qrFaZLzDQV86uKmYuLi9Er5isUCq2amDY2NvDz88OoUaO0so+fB1wuF8HBwSgpKcGVK1fw3nvvYdiwYQCAXbt2wcTEBM7OzujSpQvy8vIYk+d9+/bh+PHjzIT4EydO4PHjx6ioqEBOTg6aNGlSJ5PYxiAuLg7p6emM5ZAhn2MNLi4uePLkCVQqFSN+qampaN68Oezt7SEQCHDnzp16GVUbm9qK5APqJLTCwkKmpm12djaKVSooORw0eOTRSL/1RhE+Ly+18DUMQosWXLi6uiIvLw93797VGt/TVyD4RdSu3Lp1K/Lz8yESiRiTXF2EhIRg7NixjCnqwoUL6/V6XC4XgwYNQnh4OLZs2YLU1FTs3LkTTZs2NWh/jTu1XG6YuW1jUlxcDFtbW5ibm+Pvv//GTz/9ZJA/GgBkZWXpNYKtK5oEKUMmTJeWloLP5+us9uHm5lZt+fOumC+TyZCUlISkpCQ8evQIrq6u8PPzQ7du3WBpaflcY6mKQCBA27ZtERUVpeXX16VLF6xbtw7du3dHy5YttfYZP348mjZtivj4eNjY2MDa2hqFhYWQy+XYs2cP8vPzUVZWhqFDh2Lo0KFwcHBgnEjefffdGluLdaWoqAixsbGYNm0aQkNDGQPcunyO3377bYhEIqxYsQIzZ87EhQsXcOTIEcTFxcHExAQTJ07EjBkzsHbtWjg6OiL9/9k77/Coyq3t/2YmyaROeiGFVEggQFApEQhBWsQDCnqAF0QUFREFPKC+IHAsgAbELooKRw4CoggWBAEVlKKEKkhLISGkkUr6ZPp8f8S930kyk0zKQPTz5ppryGSy9549ez/rWeu5133n53P+/HmxVNsZUFdX14REeP36dcrKylAqlaJ7ikajqffu9PRE0hHZT7duHfMBGsEmgW/ECJDL69s42gpXV1i82KVBCQD+b8Ay/QIaU7Mt2cl0JKPTFM2Z5JpizJgx/Otf/2L48OFIpVJWrFjBli1b2rTPNWvW8NBDDxEQEEB0dDRTpkzh5MmTVv3t8OHDiY2NJSAgAKlUanGmagu8//77PP3008yZM4fExEQmTZrUIqtUQHNGsNBUMb+5EqOgmG9O/cNUMV94vbO1VVRVVYkyYfn5+aIm5rhx43B2dr7Zh9cAiYmJHD16tIFBa0JCAmvWrLFIbHFwcBBLlLfffjtqtRpnZ2fmzp2LwWBg4sSJ/O///q9oWNulSxf+8Y9/cO7cOX755Reqq6vZtm0bnp6eZGRkoNPpKC8vx93d3apjHjdunCgb17NnTxYsWMDjjz8u/r4117GDgwM7d+7kiSeeIDk5maCgID755BOxRL9q1SqWLVtGfHw8paWlBAUFMXv27Bsa+AwGQxMSk+kYazAYcHZ2xt7eHoPBgEqloq6uDk9PT8LDw/H39xcfrq6uSAwG2Lq1Xq2lrXB1hX/9q+M+pAls1sC+YkW99Fhb2zjc3GrYuHE/iYkJYl3dGggXuDnZJ6GHz1K22Bw1u7Nj4cKFFBYWsnHjxpt9KB0KQWTYmhJjY8X85oSGO2MwawmlpaWiAHR5eTndunUTmZg3OnPvzGjc6mQqUlFbW4tCobCocPNXPo+NrbYa9zc7Ozvj4eGBo6MjUqkUrVaLUqmkvLwcOzs7AgIC8PPzIyAgAH9//wbrpmbxyiv1gaCtwc/fHwoKwAYVPJsFvuLi+pJnW9o4nJ3hpZc09Ov3K8ePH6d79+4MHTq0VQHQHMxRs00vBHPUbOGGMFVt6QxITU1Fo9HQu3dvTpw4wV133cX69evNsso6GwwGg1l1fHMlxrq6OhwdHVsUGBaCWWf6jtoLo9FIQUGBmNmp1WrRnbw5JubfsAzBuNmSLKFcLreocOPq6tqpJ8bmzJVNx7fG5sqOjo7i+nV1dTXFxcVUVVXh4+PTIIMTWMOtRklJfRBoC0HF2bk+aM6f3/q/tQI21ercuxfuvbd1Ad/Jqd6+b/v2+kCvUqlISUnhxIkTREVFMXToUJsZVzamZpvT6TR3Q3h5eZnV6bQlTpw4wZQpUygoKMDPz49Zs2axaNGim3Zjmirmt+RlplKpcHJyMstmNJet/f+kdiEwMYVg5+DgIHrYBQUFdeqB988OQSTcUrlPq9Va7Fn08PC4IRMRvV5vUZquvLxc1FBtHLD1er0Y3IqKiiguLsbBwaFJgPP29u7Yz/H99zB+fOuDwOjR8OWXNsn24Aa4M3zzTb3qjErVcm+fiwuMGQNbtkDjioNKpeLYsWMcP36cqKgoEhISbihLTbjgLM2m7OzsLJZP/qzODOYU8y0FM1PF/Ja8zP5WzG8IrVbbQBNTYGLGxMTg6+t7sw/vb/wBtVptcWJcVVWFq6trs56ardmPpVJt4wm46X48PDyoq6ujqKiowaOmpgZfX1/8/Pzw9/cXS5Y3bC3422/r9SetDQJJSfXrgzYsO98QP77z52HZsvrPL5EYqav7vyAglRpxdJQQGgrPPVfvRdtcjFCr1Rw7doxjx44RGRlJQkLCTR8cTL34zN0UQonB3Lqip6fnDV1r0ul0VjdMazQanJ2drfIyc3Jy+juYtQJ1dXWkp6eTmprKlStX6NKlixjsrCVg/I3OA9NMzJz4vVQqbRCghMmf4PpuancmZJbmxgshs1SpVE0CXHFxMc7Ozk2yOC8vr5t/b164UB8Edu6sH+BNM0CptD7LCwmpDwIPPGBzX7ob48AOXK24ymv7N7BuvQHdlXio8wJ7JUbPLPqN/Y2XH5jA8PDhSCXWfUFqtZrjx4+TkpJCREQEQ4cOvekB0BI0Gk2Dm8D05jDnvt64Z7GlbFGn05ktMZpbN9NqtRbXxxo3TP/t/N6xEJiYaWlp5OXlER4eTkxMDN27d+90TMy/0T4Ia4lCb1tJSQklJSWilrBUKhUDn16vx8XFBQ8PD3x8fPDz82vALaiurm4S5JRKpZjBmT6a67e76cjJqdfvXLcOTNu+jEa47bb6Nb2RI21W3jSFzQOfWqdmxjcz+Cr1KwxGAxq9xuz7XB1c8XT0ZPfU3fT272399tVqTpw4QUpKCmFhYQwdOhQ/P7+OOnybw2AwUFVVZbZHRqARu7i4iP5jUqkUo9GITqejrq4OpVKJTqdrdr3MNKg5Ojr+HcxuIEpLS8X1urKyMpGJGRUV9ZdmEP7VYdpWZa7KU1tbi7u7u9myZ2P2qMC2LCoqIjc3l6KiIioqKsR7WyKR4OjoiEKhwMfHh6CgIIKDg/Hy8mqVm8xNg1pd76/35Zf1pU6N+RiAqyt4eMDu3dCot7OjYdPAV6etY9h/h3Gu+Bx1OusWN13tXdn3wD4GhbROmFSj0XDixAmOHj1KaGgoQ4cObSBb1BkgaORZU2rU6/Vi1iXYmQhSRmq1GqVSiUqlEo1xG5Nt/urU7M4Ko9HItWvXxLYDlUolljDDwsL+ZmL+iSBMSi2RXQCL6/rNCWkYDAZKS0sblCgLCwtRq9VNMjgfHx80Go1Fn0WDwWCVf+hNQ10d3HFHveamtQQXFxfYtw8GD7bZYdks8BmNRu769C5+zv4Zla51zXwKuYKTM0/Szbv1XfsajYaTJ0/y66+/0rVrVxITE20WAAXFfNOglZGRwfjx4/n666+byFwZjUarSowuLi7I5XKzM7nY2Fjee+89hg0bZjU129xaQWenZrcVYWFhrF+/npEjR96wfRoMhgZMTDs7O2JiYujRo8ffTMwbDGtMlk0hBBVz91DjZYjGk0trqie1tbVNypSlpaUoFAqRZCIEOQ8Pj1ZfK6ZZZ+PPUFNTI06MzQVHmzPRjUYYNw4OHGh9L5+bG5w8CX9IMnY0bMaq+Cn7Jw5fPdzqoAdQo6nh2R+e5ev/+brVf+vg4MCgQYPo168fJ0+eZPPmzQQHB5OYmNhAtLkxhAFzxIgRZhXzLbEZJRJJg6AlCDf7+fnh7u7erGJ+W3DhwgXx/3Z2dvj4+Jhlt5qjZmdmZoo3hzlqtuniuzBT/O9//8sjjzwistL8/Px49tlnmT17drs+h+Dxl5eX167t3CxotVqysrLENTsPDw9iYmK4//778fX1/TvYtRPDhg1j2rRpZoXOWwOBeGYpa1Or1eL1n5yczNixY5kxY4Z4H1hLPNPr9Q2yOOGh0+nw9/fHz8+Prl270r9/f3x9fTusGiMIUzc28RWOqfHEODc3VzwH9vb2FrPFDmGiHzwIP//ctgb2mhp45pl6MowNYLPA9+ovr1KrbZsJocFoYN/lfRTXFuPn0rb1OiEA9u/fXwyAfn5+xMbG4ujoaLbEuGPHDlJSUpDJZGb7ybp06WLW/sUUgtBu//79O5St2Vo3colEgpubG25ubmZdIBpTs4uLi0lLS2tCzf7tt9+IjY1l69ateHp6cvXqVUaPHk18fLzosXczcDPc2VUqlcjEzMrKokuXLkRHR5OYmNgqlf+/0bEwHeCzsrIoLy8XNT1NB3ih8hEeHs6tt97aZID/8MMPiYiIoFsz+pDChNK0TFlUVERZWRkeHh5i9jZgwAD8/f1RKBQ3bRIkk8nw9vY22/dsbkJw5coVTp061WRCYK5n0ap7rz1u5EZjfQ9gYSE0k7C0FTYZOfKr8vk5++f2bUQCH536iKVDzZu6mirmt8RmFBTzi4qKyMnJwcnJiZCQEPz9/QkKCsLFxQUnJydGjx7N2LFj2bJlC+vXryc+Pp7//Oc/eHh48P7774seXFeuXGH8+PH89ttvDBw4kOjoaCorK836ZxUUFPD4449z5MgRvLy8WLhwoWhA29idvXEWFBYWxuzZs9myZQtpaWnU1tYSFRUllvLUajULFy5k27ZtQL0I9qpVq5DL5WZLPqbu1vv37+eZZ54hNzcXhULB/PnzeeaZZ4D60p3Qs5iVlYXBYODChQtikPTw8OC9997jzjvvFGfKZ8+eRaPREBcXx9q1a4mNjQXgu+++a7Kf2bNnM2bMGNRqNa6urgCkp6cTEBDAq6++yrp166ioqGDEiBF88MEHeHl5mXVnP3ToEJs2bWLp0qXU1NQ08XU7fvw4TzzxBOnp6Tg5OXH//feLvoDWorq6Wixh5uXlERYWRkxMDGPHjv2biXkDIFzHP/74ozhI9+rViw8++AAnJydyc3PZtGkT2dnZBAUF0b9/f2QymWhKXVxczNNPP82pU6fw9fVl+fLlDB8+3Kp9C24QRUVFzJ07l3Pnzom6oI8++qjooL5w4UKKi4uRy+U8+uij7Ny5k+LiYgCmTZtGv379+JeNNCfbCqFS5erqalbcvvG6YmlpKRkZGWZLwOZ6FiXXrsH+/fUBrO0HCR99BH/4LnYkbBL49l/Zj73MHrVe3eZtqHQqNp3axAj7ERblrRwcHMyulwmK+aavC+LUWq2W06dP88svv6DX60lMTCQwMBCZTIabm5v4vmPHjvHggw9SWlrKRx99xCOPPEJ+fj4SiYSpU6cyePBgfvzxR44fP85dd93F3XffbfZzTJkyhdjYWFF6atSoUURERDBixAirzsPWrVvZvXs3Pj4+TWZZL7/8MikpKZw5cwaJRMI999zDihUrWL58eYvbfeSRR9i2bRsJCQnibE+AVCoVL+Lw8HA8PDyYNGkSUB9MVq1axfTp0/H09OT69evExMRw7733UlNTw9dff01SUhKrVq3C09OT6dOn8/bbbzNq1CgA8vLycHFxYc+ePU1KnW+99RZff/01Bw8exNfXl3nz5vHkk082MOs1dWe/ePEis2fP5rvvvmPgwIE899xzDbb31FNP8dRTT/HAAw9QU1PD+fPnrTrnZWVlYrArLS2lW7du3HbbbUyePPlvwpCNYDQaG7Cby8vLOXXqFCqVivz8fN58801xgIX6knufPn149tln6d27N6dOneLKlSskJSURHh5Oz549qa2tpX///ixbtow9e/bw+++/M3r0aGJjY8WJmbDv6upq6urqyMjIYMeOHRQVFVFeXo6Xlxf+/v4MGTKEd999l+DgYJYvX862bdtYvHgxAO7u7pw/f57bbruNw4cP4+rqyqVLl+jRoweHDh3i6aefvinntD0wVXVpDGFibFoxunTpUgPSz4D0dBIkEtplCaBSwRdf/HkC3/W66xbbFlqDMmUZFRUVuLq64uXl1YQA0pZSl729PQMHDuS2227j9OnTfPbZZwQEBDQxfgwNDRUzswcffJAnnniCoqIikT26f/9+HBwcGDJkiMWgl5uby5EjR9i1axeOjo707duXRx99lE2bNlkd+ObNm2fRmHXLli28++67YvvGCy+8wKxZs6wKfPb29ly8eJG4uDgxyFlCSkoKHh4eYvP7nDlzSEhIEEs4iYmJ4ntnzJiBn58f0dHR6HQ6pFIpBw4coKCgQFR3OXv2LPn5+ajVan7//Xdxtvjhhx+yZs0agoODgXon9q5du7Jp0yZx+6bu7Nu3b2fs2LGiwv/y5ctZs2ZNg894+fJlSktL8fHxsegWLzAxhWBXV1cnljDDw8NvPjPuLwKtVttsP6ujo6N4LUgkErFUmJaW1kCOb/LkyfTu3ZuwsDC+/fZbzp07h4uLC7169eLBBx/k0KFDAOzatYuwsDBmzJgBwK233sqECRP4+OOPuf/++xuUKqVSKVVVVWg0GqKiohg8eHCDyea9994rfo6XXnoJT09PKisrcXd3JzExkYMHD4p+ev/85z85ePAgjo6OVFVVERcXdyNPs81hOjFuDKHNQ/Paa8haUmmxBn8E0o6GTQKf5I9/7YYRkQ1pMBiaPLu6urbZZsjOzo4BAwZw66238ttvv1FbW8v+/ftFq5DG7uVQfyylpaVi/4yAkJAQs0awBQUFeHl54ebmJr4WGhpqtX2QsG1LKCgoaLB+FxoaSkFBgVXb3bFjBytWrGDRokX06dOHlStXcvvtt5t9b3x8vFgyLSoqYsqUKSxevJjk5GT0ej1Llizhiy++oKSkRKRwe3p6EhkZye7du1mxYgWvvPIKffr0YenSpXTr1o0ffvgBqC9xmpJvxo4di1QqRSKRIJFIkEqlpKamiuQa0/MhOFsLcHFxabCe8Z///Ifnn3+emJgYwsPDeeGFFxg7dixQP2vNyckR3cllMplo6xMcHPw3OaUNEESSLbEkG1uGeXl5ERERIf5sei+/9dZbBAcHi9ZA5r6PkpISdDpdg2tAuB+MRiOpqakcO3YMNzc3cdzQ6/UMHDiQhIQE/Pz86N69u2ils2vXLmJjY5sEKkvXeGlpqRj4du7cSXBwMEOHDmXYsGFs2rQJR0dHEhISbr5qig3Q2DVFqMIJWXvIxYvEGwy0+5Pb6NzZJPD5OPu0u9QJ4OPiQ48ePcSTm5+f36TkKbhdW9MiYK5MZWdnR//+/VEoFAQHB/PFF19w6dIl1Grzx96lSxfR908IfpbczwMDAxvo60G987IwM3RxcUFpsvhbWFjYZBvNDcCBgYFcvXpVLNvk5OSI7K6Wtt2/f3+++eYbtFota9asYdKkSVa5uPv7+3Pfffexdu1akpOT+fTTT/nmm2/48ccfCQsLo7KyEk9PT9EMtPF+Hn74YXJzc+nevTtyuZx//vOf4rbXr1/P6tWriYqKaiD79OOPP4rHtmXLFnx8fESpt4yMDNRqNXK5HKVSSVlZmbi9bt26sXXrVgwGA19++SX//Oc/OXr0KDk5OaSnp6NQKIiJiWHq1Kl/MzGthOn6rzmWpKk0l6enJ127dqVv374ikaS1QaC569jX1xc7OzsyMzPx8vKiqKiIAwcOUFRUxKpVq8jIyCA6Opo33nhDtNJpiwhzS9d4YmIizz77rMgeHzJkCI8//jiOjo4NqiGdHZZcU8wpQNXV1WFvb4+9vT0SiQSDwYBWq0Wv19fLprm5YbSza6jQ0ha005HHEmwS+JKiktDq2+e8K5fK6aHtwd69e4mIiCAiIoIBAwY0yJ6MRiNqtdosueXatWtNXm/cemD6LND7R40axTvvvENZWRmbN28mMTGxyYyyX79+vPjii6xYsYJTp07x7bffMm7cuCafISQkhEGDBvHcc8/x2muvkZ6ezn/+8x+RBNO3b19ef/11li5dikaj4a233mrVOZoyZQorVqygf//+SCQSli1bxrRp0wCIi4vjwoULnDlzhpiYGF588UXx7zQaDV988QVjx47F3d0dhUJh9WBQVlbGV199JQbb6upq5HI53t7eKJVKcd2jpf34+/tTVlYmlosAZs+ezZtvvsnGjRuJjY2lpKSEX3/9lenTp5OZmckbb7xBfHy8OKsMDQ1l/fr1zJ07l/DwcH7++Wf0ej2//fYbPj4+/PzzzyQlJaHVajl79ix6vZ6TJ0/Su3fvv5mYzaA1YsxeXl4EBga2SYzZGphex9HR0Tz33HNA/Rr86dOn6d27N9OmTeOxxx4D4KeffqJr167MmzcPvV5Pr169KCwsFIlpp0+fxtXVlR49epjdn06nQ2ViIiqTyZq9xqF+guXk5MTmzZtZtGgRCoUCf39/duzYwRNPPNGh56O1EITmrbEAM3VNkcvlyGQyJBIJer1e9Oarra0Vvfm8vb2bEFxElmxZGZgsUbQJzs71up02gM0yvrHdx4oyZW2BRCphw7wNGOuMZGVlkZ6ezr59+3BzcyMiIoLIyEhCQ0NxdHTE0dGxRacGc83mwnNhYSEajYZTp05RUlLCpUuX0Ov1FBQUsHHjRrHRMyUlhevXr/Piiy/y/PPP4+XlRf/+/Zk0aRIGC/XsrVu38vjjj4uDw0svvSQSPR544AFxFimsRbz++utWn6OlS5dSVVVFnz/kfSZOnMjSpfUs2O7du/P8888zcuRInJycSE5O5sMPPxT/dtOmTcyZMwe9Xk90dLRZRqqAo0ePiuxLZ2dnRowYwdtvvw3A9OnT2bdvH0FBQXh5ebF8+XLWrl3b4n5iYmKYMmUKERER6PV6Ll68yFNPPYXRaGT06NGi3dLkyZO55557xIAZFRUlrrskJSXh5+fHv//9b2pqanjkkUc4d+4cOp2OkydPsnHjRpYsWYJOp8PT05Mnn3ySkJAQJBIJxcXF6HS6VvVq/VXQWvsdPz8/YmJimvR42hIGg0Fc+5s0aRIJCQnIZDL+8Y9/APUDelxcHFu2bOGZZ55h8eLFxMTEMGvWLH766SexGvP999+zYMECFixYgMFgIC4urllm7+zZsxv0qN5///188MEHzV7jUJ/1paSkiAzJxMREUlNTbdLyY+qa0pIFmOBc37giJoybnp6eopt6dXU1FRUVlJWVWXSA8PT0tE4P1Nsb7rmn3l+urWt9BkO91JkNYDPllpS8FEZ8MgKltvV9HDKJjMmxk9ly35YGrxsMBq5du0ZmZiZZWVkUFBQQFBQkBsKAgIAOq6cLQbKqqooLFy5w4cIF5HI5fn5+SKXSBhfe1q1bCQwMZOLEic16y7m6ulpUZPkb7YPALEtNTaWkpKSBJqZEIrGpOkdnxJ9F1cdgMIg6lYWFhSLZZNWqVUyYMIGkpCSxTOnn59fhGWVnQVtdUyzp8wqBX6lUNmBgCteDMBlszgGi3Th+vF6urC29fDIZTJxYb09kA9hUsuzBrx9kx6UdrQ5+Ps4+nJl1hiBFULPvU6vVXL16VQyEtbW1hIeHExkZSURERIeWsvR6Pb///juHDx+mrKyM4cOHk5CQwPfff8/48ePZt28fERERLV60ghK7NVY/f9ZB90bAaDRSWFgoMjFra2tFd/KwsDCrszhb6THeCNTV1Vn0bWssktwZdFzNecWVlJTg4uLSQJ+yvLyckSNHkpqaalZ84c8CrVabMphKAAAgAElEQVRrdTCz5JpiyQJMIpGg0+ksTugqKirEjM7c9+/i4nJjxpYZM2DbttYHP29vOHMG/mB4dzRsKlKtM+i457N7+Dn7Z6uCn0wiQyFXcGjGIXr59Wr1/qqqqsQgmJWVhaOjoxgEw8PDO0SbTq/Xs2bNGl588UWUSiWBgYH8+9//5mErU3JzN4OlMoXgumCNU/n/DxZCAhNTCHZSqVQUgA4ODu7wINSRCvxtgalzh7mszWg0Wpy1u7u737SgbDAYKCsraxLkVCpVEysdPz+/BqWzhQsXsnnzZhYuXMi8efNuyvE3B61Wa/beNXcPt+Sa0tIk1/T6MzcxUyqVuLu7W/T57BQ9pzodTJgAP/0EtVYoeUml4O5eL3fW23qXntbC5rZEeoOeRfsXseb4GqQSqdkAKJPIcJA50NO3Jzsm7SDUo/2zPCEjEAJhXl4eAQEBYlk0KCioXQODwWDg3LlzHDp0CFdXV4YNG0ZYWFiHBh/T8kdLtXyNRmMxSDaeNf4prEz+gE6nIysri0uXLpGeno6bm5soAO3n53dTP4ep51rjQamiogK5XG4xWxRm3C15NTo7O1vcRmeY7CiVSrNZnEDw8PPzE0uVbRFhvhGwtPZv7l4TXFOsyc6sqdiYawY3vQ6g81YcrIbBUG8w+8479YHNXPYnk4FcDjExsGMHhIXZ9JBumBFtpaqS9T+u5/Xjr1MkKcLeYI9eokcqkXKf730sum8RfbrYzoNJq9Vy9epVsrKyyMzMpKqqirCwMDEQCk2zrYUQAA8fPoyLi4vY9Hyjb3AhSFpTWmm84N2cj5/gFH0joVKpyMjIIDU1lczMTPz9/cXMrrlG+84EQQ3k+vXrFBYWUlhYKLJYlUolBoMBiUSC0WhELpeLZAJ/f3+6dOnSoGWjM6CxCLNgpaPVaptY6fj5+d3UbKM5Ips5NmNHuKY0h+ZshaqqqnBxcTGbtXl5ef211jQrK9G8vh7Jm69jV1OEQWKPxKgHqRTNsHuRv7YIyS03ptn/hgS+ikMVZC3Koua3Gox6IyqjihrHGuQ6Oc5qZ+xd7ZHKpQQvCCbkmRCk9rYfaGtqasQgmJWVhZ2dnRgEw8PDW33BGQwGzp8/z6FDh3B2diYxMZGIiIhOOcNtTHFuLpsUKM6WBgbTAaI9QbKmpoa0tDRSU1PJyckhNDSUmJgYoqOjRaWWzgq9Xt9sb5udnV2TWbtAIDEdFIXMr7q6WlQrMjfTt7XLtqkIs/AoKyvD3d29iZWOu7v7DbnGhdYlaysg5lqXLJUa2+uaIrBkLWVt5gSfTZ1QOsvkxpaoOPxHDDhdHwMkWhV21GBAjg5nZG72SOQSQuaHEPKs7WOAzQNfwUcFXP7XZQx1LVNapc5S3G5zo/d3vbFzvXEXg9FopKSkRAyCOTk5+Pr6ioEwODjYapaTIOh86NAhsYE1MjKyUwZAayA0tVoze1apVDg6Olo1e3Z2dqaqqkpkYhYXFxMVFUVMTAzdunWzvVdYK6FSqSwObIJAgaW1vtYGKiGQWsoS7OzsLK7ttcYNQKfTiVmcKaNSr9eLAU4oU/r6+rZZJckSBKF5awkgllxTzJUaOzrjFBwgzK21NnaAaBzg/qrel9aiYH0Bl+dZGQOcpLje5kqf7/pg52a7GGDTwFe4uZD0x9Kt+sDiAcklKAYoiNsfd0MyP3PQ6XTk5uaKgbCsrIzQ0FCRKOPj42NV7f7ixYscOnQIBwcHEhMTRWr9XxWCjFFzg1dFRQXV1dVotfUCB46Ojri7u+Pj42O2tCQ827p3zLQ0aS5r0+l0TQY1YWC7kU7XgiyYpeNUqVQNZMGErEIul6NSqSgrKxPLlOXl5WJ51fTRHi+21rqm2NnZNZkkVVdXM2XKFM6dO4eHh4f4e3OBV3Dt0Gq17c6cevbsybJly+jRo0eT81tTU4NCobDY29bZJmqdBUVbi0h7NA2DsnUxwK2/G30P9LVZDLBZ4FPlqjgefbxVQU+A1ElK1+e6EvbvsI4/sDZAqVSKTNHMzEwAUU0mIiKi2VKc0Wjk4sWLHDx4EHt7e+Li4khOTub777/Hx8eH5ORkpk6dKr7/008/5bnnnqO0tJRRo0bx8ccfi4r0QhO5gLq6Op544gnefffdJvvVaDQ899xzfP7551RUVODr68v48eN58803O+KUmIU5KySDwUBubq7IxATEEqaghNESu1WpVCKXy5stW1kjXi6IJLdE/zaXSd0w+nc7IVyrubm5YnAT1rGgXqJPoVDg7e1NQECAuJYorCeZ+4wCu9AaJrLgmvLqq69SXV2NVCrFycmJ+Ph4Fi9ejJ+fn1nXFFO0Jpi15r0Gg4Fp06axfft27OzsMBqNGI1Gpk+fTmRkJAaDoVmW7N9i5a2DKk/F8e5tjwEhC0MIfyHcBkdmQyPa/PfyMerbFlMNdQby3sqj63NdkdrdfNaSs7MzvXr1olevXhiNRsrKysjKyuL8+fPs3r0bT09PsSzatWvXBjegRCIhNjaWnj17cunSJR588EEADh8+TG1tLWPHjiUuLo7Y2FguXLjArFmz2L17N7feeiuPPfYYTzzxBJ999hlQv/YioLa2Fn9/fyZOnGj2mJOTkzl58iTHjx+nS5cuXL16VVSttzV0Oh1XrlwRmZiurq7ExMQwefLkJvZKphJ0liBkOeYG2evXrzd5zc7ODgcHhwaSS2q1WuyVEgY1X19fwsPDxYGuU9C/rYRg49N4La6iogJvb2/8/f3p3r27WKp0cXFpkNVev36dkpISzp49K5ZrDQYDjo6O2NnZifqLGo0GtVqNg4MDbm5uTSYallxT1q5dy+eff87IkSMpLCwkKSmJvXv38vLLL9v0vGi1WrOZsDC5ycjIICkpiUceeaRJ5vZnYjv/GVCwtgCjoe0xIP/tfEIXh9ok67NJ4DNoDBR8UIBR0/Zk0qg1UrarDN/xvh14ZO2HRCLBx8cHHx8fBgwYgF6vJy8vj6ysLH766SeKi4sJCQkRA6FAuZdIJISGhnL27Fm++eYbjh8/jlQqZdiwYXzyySesWrWKLVu2MG7cuAY2Oz169Gggci1g+/bt+Pn5kZCQYPY4T5w4wYQJE0TRakEWTUBYWBizZs1i06ZNXLt2jfHjx7N27VpxPWrXrl0sXbqU7OxsevbsyQcffCBKo+Xm5vLUU09x+PBhDAYDU6ZMYebMmcyaNUsMLjKZjB9//JGtW7fi4eHBzp07OXjwIN988w0JCQksWbKEbdu2oVarmTBhAm+++aZFQpFEIhEzBB8fnwbrXwLpQWDy2dvb4+HhIfZGCZqDRqNR1BusqakhOzubCxcuNCi1tZRNdvQal7XQaDTi+pvpw97eXixPdu/encGDB+Ps7ExdXZ04ESgqKiIzM9OsyLBcLsfV1RWFQkFgYKDIWDQajaJmpaC4L1D5ZTKZWJ42Lfs1V+oLCAggKSmJM2fOiK/t3r2bpUuXkpmZibu7O4888kgDPVlTDBs2jNtvv539+/eTlpZGQkICycnJYjUF4PHHH2fHjh1oNBqGDx/OlClTxAmOwNr29PTk8uXLBAcHM378+Cb7CQsLE02eDQZDi6bI//3vf/n3v/+NUqlk/vz5LFmyBKi3zrp48SKOjo589dVXdO3alY0bN9KvXz+g3lVk7ty5YivU/PnzxZ7FjjBP7gwwaA3kv5+PUd2OGKAzUvZtGb73dnwMsI0f3/fXoZ1WTPpqPfnv5ne6wNcYMpmM0NBQQkNDueOOO6irqyM7O5vMzExOnjyJRqMR1warq6uRyWSMGTNGtE3Zt28fe/bsYcaMGVy4cIFBgwaJ246MjMTBwYH09HRuu+22BvvduHEj06dPtzhDjY+P54033sDBwYGEhAR69erV5L1btmxh3759uLi4MG7cOFasWMGKFSs4ffo0Dz/8MN9++y39+vVj8+bN3H333aSlpWFnZ8fYsWMZPnw4a9euJTMzk7179/Ldd9/x0EMPcezYMY4cOSKWZT/66CM+/fRTvvvuO3bt2oVGo2HhwoVkZWVx5swZ7O3tmTp1KsuWLSM5ORloSv82ZTya0r+Fwaxnz54NetusRWNyhWnm2FonEHNMwdbCaDRSUVHRILgVFhZSVVWFh4cH7u7uODk54ePjg6+vLxqNhtraWi5fvszZs2epq6uzSC7y8/NrwsBtTenOVAJN+E5ycnLE78jBwaHBdyIEa0H/cc+ePQ2cz11cXPjkk0+IjY3l/PnzjBo1ir59+zJ+/HjRGzMzM5Pq6mrKy8v58MMPefLJJ/nHP/7B9u3bmTlzJs8884z43pqaGi5dusS1a9eIj4/n1VdftShEbQ3eeeedFk2Rjxw5QlpaGunp6QwYMIB7771X3OfOnTv58ssv2bBhA0uXLmXOnDmkpKRgMBgYN24c99xzD1u3biUvL4+RI0cSHR1NUlJSm82TOxvKfyjvkBiQ927enyfwqXPUGHXtXzpUXVW1/KZOBicnJ3r06CHeAOXl9T5zaWlpHDhwAAcHB/bt20dkZCRRUVEkJSWRm5vLwYMHSUtLo2/fvhiNRjFIubu7U11d3WAfOTk5HDx4kP/85z8Wj+O5557D09OTLVu2MH/+fLy9vUlOThZLrQBz5swRnSeWLFnC3LlzWbFiBevWrWPWrFkMHDgQqDfifeWVV0hJSUGlUpGTk0NsbCwbNmwgKiqKSZMmERUVxWeffcaFCxearEXec889DB48GAC5XM66dev49ddfRQp4UlISy5cvF+2IGtO/BWPbjqZ/SyQSnJycxGDSHFpyAmkcPJtzAnF2dsZgMFBRUUFFRQWlpaVUVlaKa2KC1YtOp0On0+Hk5CQGKZlM1mS90zTA2arn0s7OTqx0mDs3wndpSgYS1IzUajXdu3end+/e7N27Fy8vL1Hz9sKFC1RXVxMfH88HH3xATk4OV69eBeDXX3/F29sbqVTKvffey+zZs/Hy8mLixIn07duXCRMmiHZVr732GgEBAQQEBBAXF8fZs2ctBr7XXntNNCy2s7OjtLS0yXusMUV+4YUXcHJyIi4ursk+hwwZwl133QXUi9ELzisnTpygpKSE5/9wFY+IiGDmzJl89tlnJCUlWW2e3NmhzlVj1LY/Bqivts/azhJsU+qsM3RI4KssruSll17qgCPqPFAqlaSkpJCSkgLU39yVlZWiz9ivv/7KsmXLxPeXlpaydetWDh48KL528OBBQkJC+OSTT1rc3+jRo7njjjv47bffmDFjBidOnMDX15eKigoOHz5MUVERAMXFxeTk5PDSSy/x448/kp2dzerVq8Xt6PV63n33XTFY5OfnA4gC3gC//fabuA0BZ86cQaFQiK8JZBUhqAowGAzk5eWJP5eUlFBSUmLFGe28MFXfsBYGgwFdIw8zoUxZXFzckYdnU2g0GiZNmkRkZCTZ2dns2LGD33//Xbxu8vLy+PHHHykuLkav16PT6YiNjaW8vFzM4q5cuUJOTg7l5eVcu3aNdevWidvWarUsWrRIZAd/9NFH4uSguLiYTz/9lLS0tCbHdebMGQYMGMCIESPE14Rrs6Kigk8++YRffvmFy5cvc9dddzWokhiNRhYuXCgen6V9/vzzz1y/fl3crsC2ff7557l06RJ5eXkNWlyMRiNdu3blpZdeom/fvnz55ZesXr0aT09PEhMTiY6O7oBv5MYi6GgQEZoIpO20ojWoOsDF3QxsEvhk7jIk9pJ2R3xXP1fuv/9+8ULXaDQNHsJrzf1Op9OJZAfhYW9vb/bnxq839962NL3W1tby8ccfM3XqVLp164ZarWby5MnExcXh7e1NYGAgKpWKAQMGcPXqVUpKSjAYDKxevRqFQiFuR7AcslYfVICPjw933HEH9913Hxs2bCAhIYHHH38cgD179rB3715eeOEF8vPzcXd3Z+TIkaSlpWEwGESZsLy8PA4ePMiSJUsaEAmEmf7Fixdxd3cX6d9ubm506dKFkSNHitT/9957j4yMDNGQt7PCnGJ+c5Jxzs7OODg4IJVKRWKIwEj19vbGz8+PoKAgQkJCxEwGmkpmNUf/NxgMVus/2toJxJJkW3l5ORKJBEdHR4KDg+nTpw9arZZz586xceNGvLy8iIuLY968ecyaNQu1Ws2CBQsoLCxk0KBBYsAS7je5XI69vT2DBw/Gy8uLsrIyVq9ezSuvvEJ+fj5vv/02zz//vFgJ+Omnn7j77rt59NFHmxzzlStXCA4O5oUXXmjyuw0bNjB9+nRGjhzJp59+yscffyxWKkyRnZ3d7D6NRiOXL18W92H6/hMnTnDmzBkyMjKaPbeCefK0adMoKyu7KSIOApvXmj7exq0p3oXeSOwkoG/fMcjcbMOktUngc+3r2vKbWoIMvBK8iIqKatdmBFKDuaBo7ufa2lrRk6y5oKrVapHJZFYHSeH/d9xxB0899RTJyclcvnyZAwcOsGfPHvr06UOfPn246667OHnyJABff/01sbGxfPzxxwwbNow+ffqQkpJCfn6+RTangLfeeou+ffsycOBA7O3t2bJlC9XV1Q38wd577z3Gjh2Ls7MzL7/8MqNGjeLbb7/FycmJ9evXExYWxp133olGo2H//v0iOUQulzN8+HBGjBiBt7c3169f5/bbbyciIgKlUsmUKVPw9fVFKpVy+vRpgoODGwwgM2fOZP78+axZswY/Pz/y8/M5f/48SUlJ7fqurUFHKOYL621qtZrq6mqqqqooKSkRe+hMG78bizCbg7A+JrStNAfhGm18vKWlpVy9erVZJxBLMlzNiSSrVKoGa63NiXR7enoSFhaGp6cnr776KpMmTWLkyJFAfekvLCyM69ev07VrV6qrq/Hy8sLZ2VlkR48ePZpRo0bRrVs35s6dy8KFC9FqtXz99dccPXqUe++9l+vXr7N69Wp69erFqlWrxOxrz549YmuG4ATeHjz++OMsWbKEjRs3EhoaKpoi33PPPe3a7oABA1AoFKxatYp58+bh4ODApUuXqKuro3///mzevJmkpCR8fX1Fd5mObKNoS2uKuWsoODi4CSHMlPxVHVfNb5/8hqE9C30yUAxUtPy+NsAmgU/RT4E8RE5dWl2btyF1kBLyr5CW39gCJBKJGHw6EgLzrbmAavpaXV0dlZWVTJs2jXfeeYcBAwbg6urKxIkTOX36NCkpKWi1Wu68805ef/11lEol3bt3Z+LEiSiVSr755ht27tzJnj17uOWWWzhy5AhyudxiwFWr1Tz11FNkZ2cjkUjo1q0bO3bsICIiQvwMkyZNIjExkcLCQqKjo4mMjKSkpIRbbrkFrVZLcnIyzzzzDHK5nNjYWJYuXUrPnj3Zvn07K1as4J133kEikTB16lRGjRpFYmIi+/bto0ePHkilUrNrJwCrVq1i2bJlxMfHU1paSlBQELNnz25z4BMU861Rl7EUDLy8vOjatWuTYNDYSicrK4vS0lJcXV1FRmW3bt3w9/dvs95rayB8x9ZolloK8mVlZeTk5IjnpKam3gmkcQuIRqMB6vtHBYakn58fvXr1wtvbu1Uiyb6+vkyfPp3ly5ezY8cO3n//fZ5++mnmzJlDYmIikyZNoqKiosHfSCQSnJ2dkcvlPPzww6xZs4bU1FQSExPZsGED7u7u/P7777z44ot4enpSUVHBlStXKC4uZu/evdTU1DTpy6utrUWj0TRYRzeH5kyR2wOZTMa3337L008/TXh4OGq1mujoaFasWAHA3r17WbBgAUqlktDQUD777LMWJ04Gg6FJMLP0rFQqcXBwMMtittSa0ha43eqGY6gjyktt8OL7A4KMpS1gswb2axuukTE3A0Nt2yK+Sx8X+p/t38FH1fkhBNTGQVSpVHL+/HkyMjLEAcnLywuFQiG2D7QUhCUSCVKpFKPRyOuvv864ceOIjIwUKepOTk6ieLVQpnRycmoxqxUGy45EWxTzW2pHaK78p9frzVrpaDQas1Y6fyalDoEla663TTDiFVpAhO9byDLMZZjNOYE0zio7ojdu2LBhTJs2zWzp0hIaK/GYMoOFdcTGKjw3Q4nHElpSQbLUmmKNa8SN+myFGwvJmJOBvqZt2bdzL2cGnBvQwUdVD5s1sPv9jx9Xll5BU6dpNa1V6iQlIjmi5Tf+BSGRSLC3t8fe3l50URbQvXt3jEYjWVlZHDhwgKqqKpycnMjMzMTOzk6Um7KzsxNp4AJT0NXVFZ1Oh1qtxsfHR2xzGDFiRJPMVQicVVVVlJaWNgii5gIqYFWpV+inMxqN6PV69Hp9g+2pVCrq6upQKpWiYn7j0pyp8kdbFfNra2ubBLjS0lLc3d3FwNavX78bKsLcHhiNRrFEb07KTK1WixmPh4cHPj4+dOvWTRzsWzurt+QEUllZSUFBQYMJSmMnkOaeO9IJRCKRoFAoUCgUDfpXBQjaq8L5Kiws5NKlSy1qr3p5ebV50iPo3lqzlmvL1pQbBd9JvmQtyUKv1Lc+BjhLiVwZaZsDw8ZancrLSk71O4W+Sg9W7kXqLCXshTC6/m9XWx3WnxJqtbrBoFZWViYKC+v1euRyOc7OzqLzgnBD1NXVieWUHj16EB4ejr29fYNm3bZCoPhXVVVRUVEhUvKrq6upra1FqVSiVCpRqVSo1fW0ZAcHB+zs7JDJZEilUrG532g0YjAYRIafRqPBYDC0SDpq7ncymQylUkllZaU42y8pKRFFmBtncTerQd0aCCLJloSyBZFkc1qS7dHe7IjjNhckzQ32ghNI46xx4cKF3H333TzwwAM3pHXD3Lk2zRZN3Tbc3d3FyZdMJmsi6m7N57vRrSk3EnWZdZzqdwpdlc7q4Cd1lhL671BCF7Xfl9USbO7OoExXcmbYGXRVuubLnvYgtZMS8WoEwXNsU9ftzBBKM5YGNq1Wa3Zg8/DwoLKykkOHDomanKWlpeh0OhQKhWjlEhoaKqrJeHt7WxwILSnmW1oAt6VivsCMbImQJJRFhcArlH8EApJQijXNNC0FTnOEJEs/m3t/ewJM4yzEnAOEJbdtW1sV3Qh0VEZkzgmkNRmRXq9vdp2sqqqKqqoqlEolOp1OvL4MBoMo++bi4iISf3x9fUWfxT+TLF5HQZnxRwyobCEG2IHUXkrEygiC59k2BtwQPz59rZ6iLUXkrMpBc00NOj0GnQSJ1IjUQYJRKiPgoQCC5wXj3N255Q3+SdEWx24hwJkTSdbr9aImpqCqAvXBS2CBymQyamrqve4uX75MTk4ORqNRXMgWiDCmg0tjxfzmnm90lqTT6SgpKWlipWM0GptY6fj4+Jg9PoPB0Gz5tiNaZywFSeF7E7JatVotlnf1ej0KhQJ3d/cGeqICW7EzlrNuFqxxAhGehTUwJycnsTWi8WRI+C6USqXI5m3LGmZL66nOzs4WfRYtiYT/FaCv1VO0tYiclTloCjQYdcb6Xm9pPZERCQQ8GEDwU8E4R9s+BtwQ0zuZvZ5A98N0UayiKg9qJN3QyZyRSrXIKcfb7iQyj5ngMhv48wY+gSpsKWtrjv7t6elp1WxQo9GQkZHBpUuXuHz5Mh4eHgQFBTFo0CAkEom4fvXDDz+we/du7Ozs0Gg0otqHEAy0Wq2oGOLm5kbXrl1FNZnO4PrcWIRZsNKpqKjAy8tLLFFGRUXh7++Pq6v1nmdSqRS5XN7hBBVBTLu0tJSSkhJxQlNZWUlJSQm1tbXY29vj6OiIo6MjDg4OODo64uzsjK+vr7jmKTCAL1++LAZX017U1pR+W8pS/6zlNOE7FNRthIdWqzX7mkqlEq8Pg8HQIPAJ7xGEzB0cHJDL5aLWq+n/TV8zt7bs4OAgXpuNYTAYqKqqajA2pKamij8DFm2P3N3d/7TfFYDEXoKdwg6ZQoYx1wgSkMgkIAEjxvrfe9ohdbkxn9H2GV9uLgwbBsXFYOIu0ARyOUilsG4d3H+/TQ+pPRAuXkt+aIDFrK0l+rclWrKgXHH9+nXq6urEBmlBMd/SrLS6upqzZ89SVVXF0KFDiYuLa5I1CCLbgvdgSUkJXbt2FS2XBJFtW0Kr1ZoVYZbJZE284hq7O9xoCJMbS9+/Uqls4odnej20JUNubeuMuZ8t/U4qlba6F9WaoNrW7NRSn6K55/b2KVo618I92FyptaU+N3PH0tx127hnsvHE2dyk2fTa6swlVFWeijPDzqAt0jbL8JTIJUikErp/0J2A6QE2PSbbBr7cXLj1VigvB2sbSp2d4fXX4Q9FkZsB03JF4wFOoH9bGtgalyvaSksWZrMCScTPz4+wsDC6d+8ulj6tHVwEbc+ysjISEhLo27evxb+tq6vjypUrovegTqcTg2BkZGQTHc7WwGg0UllZ2aRMWVlZiY+Pj0gyEUqW7dlXe2AwGCw6oAuqJJbctt3c3P40M3PTMl9rgmpLLF+hdaYxo1cgM5nuW5BoE/7OaDSKWbDwcHNzw83NDXd3dxQKRYutKTfy/LWkbNJRSwimIuHmrkm5XG7RS7A11ZCOhipPxalbTqEt11qt4iJ1lhKxOoLgJ2y3zme7wKdWQ48ekJNjfdAT4OQEu3fDHXfY5NAE+relWbsp/dscmUQqlXb4IryLiwu1tbWkp6eTlpZGRUUF0dHRxMTEEBER0ea1tFdeeYWsrCzWr18vimGXlpYyZMgQ+vbt22L2dP36dTEbzM7ORqFQiEEwNDTU4nGp1eomWVxxcXGDUpDw8Pb2vuHrV2q12uJaTFVVFa6urs1Obv5/hmABZUlmTfh/dXW12Jri5OQklgmFdh2B3Sswe4EGPazmgqrRaGyVrKC1WargQWgNfv75Z6ZNm9ZAW9aac9Za0pilMcNckGxMjDPlEpgjxpmOZ7a69wwaA8d7HkeVrWq1dJnUSUrvb3vjOaJloYa2wHaB79NPYdas5subzaF/fzh+vM27N6Ukm5shNaZ/e3h4iOsuplmaLWnJRqORvLw80Z1cp9MRExNDTEwMoaGhZv9u2LBhnD17lsLCwjavUUFPRwAAACAASURBVAl6m8XFxQwZMoRbbrkFOzs7HnroIYKDg0UVicYwGAzk5+eLbvTXrl0jKCiIwMBAXFxcGgS76upqkc1m+mjcm2grmHMMMB0YNBqNxazN3d39ppZTbwaac58w99yc+0TjZwcHB8LDw9vdPgOIGaq5oFhWVsbKlSs5cuQIdXV1eHl5MXr0aMaPH98igclgMFjF2nVwcODChQu88sorfPfddy0G4LYwfYXvwpqJdU1NjdnvwnRssre3R6/Xo1KpxHviRkzyij4rIn1mepsb2F1vc6XfyX5t3n9zsN3dvXJl24MewPnzcOlSfdZoAeZq4sJMp6amBjc3NxQKhSh7JPwcEhIi3uSFhYVkZmaabbQVFEyEgb0jGm31ej3Z2dkiE9PJyYmYmBjuu+8+unTp0uxNkp2dzeHDh3F3d2fnzp0t6nVaQnBwMPfffz/5+fkcPHiQI0eOMHjwYAyG5htthBm3s7MzPj4+6HQ68vLyKCgoEEtXQUFB9O3bl969e1slq9UemPOIE77/iooKUdpLeERERIg39c0s/9woCFmGNWX22tpai1lGly5dzAazmwGZTCZaSTXGjBkzkMvlXL58GXd3d9LT0zl//jx33313i9ttTeuMwWDAaDRy7dq1FsvCghRce7JShUKBt7d3k/cI5BxLKkemJsTC64IwhNAIHxYWJk7y9Ho9RUVFZGdnU1NTQ0VFBVKp1CILtaWyfs7KnDYHPQDlRSW1F2pxie14gW7bZHy//w7x8VDXdq1O7OwwPvwwVa++2mDWfv36dcrKyqioqECv14uK+EKpQmDGtZeW3JHQaDRcvnyZ1NRUMjIy8Pb2Ft0OvL29rd7OsmXL2LdvHwMHDiQ9PZ1du3aRkpLC+PHjyc/PF0sWX331FS+88IKoY3j58mU2b94MwMSJEzl8+DB1dXXExcWxdu1aPDw8eOGFF9iwYYPIlhs8eDBvvPEGx48fZ/Xq1Vy5cgWFQsHEiRNJSkrC39+fV199FS8vLzGD3LJlC127dhUzQhcXlwZl0bZkqAJL1lzWXlNT7wBhqbftzyQrZi0srSuZywaEdaWWSmbC/23ZmtKcYMKuXbtYunQp2dnZ9OzZkw8++IA+ffoAsHLlStatW0dxcTEhISG8/PLLTJgwwew+evXqxYoVK8y6qwOkpqYyd+5cTp06ha+vL8uXL2fSpEmcOHGCsWPHkp+fLwaBHTt2sHz5cs6cOUNdXR2zZ8/mm2++oUuXLsyYMYO3335bLHVeunSJ2bNnc+bMGYKCgkhOThaD7bBhw5g8eTLTpk1Dq9WyadMmNm/ezNatWzl27Bhz5sxh06ZNeHp6cunSJf71r3+xevVq/P39WyQrCRlla8QdhH7Dxi01arUalUqFUqkUrx1hfHV0dBTHFqEVqK6uDo1GI95/3t7eDe4/hzwHfh/yO4a6dohU29W3OMSsj2n7Nixv2gY4cQLaG0R0Okq//JKPunYVT7pOp8NgMODk5NRgodtSmeVm9sUolUrS0tJITU0lOzub4OBgYmJiGDlyZAOLodbgk08+YcGCBQwcOJD4+HiKioqIj4/HxcWFAwcOMGrUKAA+/fRTpk6danYbY8aM4eOPP8bBwYGFCxcyZcoUdu7cycyZM8nIyEAmk5GYmIiTkxOnT59m6dKlTJw4kYULF3Lx4kXGjx/P3LlziY6OxtXVlc8//7yBu7qjoyO33norBoNBzKaPHj3K9u3bCQwMFIkygYGBIjtVoHibW58wGAwNbqjAwEB69er1l6B4CxDaIKwlSTRmEgrPAunJWiZhZ8Dp06d5+OGH+fbbb+nXrx+bN2/m7rvvJi0tDblcTmRkJIcPHyYgIIAvvviCadOmcfnyZbp06dJkW/Hx8SxZsoTy8nKGDBlCt27dxN/V1tYyatQoli1bxp49e/j9998ZPXo0sbGx9O/fH29vb3744QfGjBkDwObNm3nggQeAer++zMxMMXsS3gP1jORx48bx8MMP8/3333PkyBHuueceTp48Kfro2dvb4+bmBtQbS8vlcqKiooiKiuLixYu88cYb7N69m9mzZ7Ny5Upmz57d4nlr7DrTUuZZW1tLRUVFi1mtqeuMo6MjdnZ2oqqSMJYKWbe9vT11dXVkZ2dz5coVpFKpqAXsc9KHKH0UMtqxfqiDyiOVbf/7ZmCbu6KiAv4wiGwPFNS7d7eFlnwzUFlZKa7XXbt2jYiICHr27Mn48ePbTYg4cuQIV69eZdKkSfj4+BAZGcmnn37K/PnzmTJlClu3bmXUqFFUV1fz3Xff8dprrzX4e4PBQFlZGQMGDODYsWMUFxfj5+fHuXPn2LVrF2FhYbi5uREREcFDDz3E0aNHOXz4MCqVilWrViGXy+nSpQtjx45l69atvPjii0BDd3VT9RCpVEpgYCCBgYHEx8dTXFxMeno6WVlZpKSkoFarsbOzQ6vV4uzs3GDGKLite3l5/WmbeoV14uZKjMKzYPVkLivz9vZu8npnD2atwbp165g1a5ZoTPzggw/yyiuvkJKSQmJiYoNy/uTJk0lOTub48eNmXRLeffdd3nzzTdasWcNjjz1GaGgo7777LmPGjBGv8RkzZgBw6623ct9997F9+3ZiY2N58MEH2bx5M2PGjOH69evs27eP999/H4Bt27bx/vvvi9ZR8+bNE82iU1JSqKmpYdGiRUilUoYPH97kHmkOL774IvHx8QwYMICgoCCefPJJq87bzXad0Wg0ohyioLEr/KxWq3HUOSLRt/++1Ve109DPAmxzBzk6gkzW7uAnVyjo1atXBx1Ux8NoNFJaWsqlS5dITU2loqKC7t27M3DgQCIjIzu0dLRx40ZGjx6Nj48PAFOnTmXjxo3Mnz+fqVOnMmjQINauXcuXX35JXFwcer2eo0ePkpqaypUrV0hOTsbV1ZWffvqJEydOUFlZKWbSY8aMITIyku3bt6NQKAgNDSU0NJTKykr27t3LmjVrGDRoEP369SM0NFR00QYICQkRMxZLLFnBp87T0xN/f39iYmJwdHSkurpaXFMQyDC+vr6Eh4d3Sgkuc60ploKZwOY1F8x8fHxummJ+Z8PVq1fZuHEj7777rviaRqOhoKAAqK9yvPHGG2RnZwNQU1Nj0e7KycmJxYsXs3jxYqqqqli5ciUTJ04kJyeHq1evcuzYMdHjDuorSEJWN23aNHr06EFNTQ3btm0jISFBzCoLCgoICfk/i7TQ0P/TkBR+Z1p5aHyPNAd7e3seeugh5s2bxxtvvNHhk7zGKkXWrmO2lE3qdDqz65QKhQIHBwdcg1zrG9TbGbekcttUdGwT+IKCwN4eVKr2b6eTwWg0kp+fL5JTtFot0dHRjBo1iq4mZdmORF1dHdu2bRPFlaGejl9RUcGBAwfw8fHB29ubhQsXsmfPHnr06MHBgwfx9/dHoVAQFBTEs88+y+eff05aWhpHjhwhLCyMyspKPD09EZZ5G990PXv2pLa2lilTpnD48GGOHDnC0aNHiYqK4vvvv+fKlSsUFRWxcuVKZDJZg4Xv0NBQ+vbtK/a2NXdDG41GiouLyczM5NSpU3z99df4+fmJ64NBQUE2Cwx6vd5q6SuVSmW2NcWca0RnVczvbAgJCWHJkiUsWbKkye+uXr3KzJkz2b9/P7fffjsymYy+fftiDS1BoVCwePFikpOTuXLlCiEhISQmJvLDDz+YfX9QUBC33347X331FZs2bWpQbuzSpQu5ubnExsYC9X2xAgIDA8nNzcVgMIjBLycnh+7duwPg4uKCUvl/nnSFhYUN9pufn89LL73EQw89xIIFCzhw4AASicSq4NS4RGnud6a6tM0RaYRnNzc3qxWCmrunS51KubT1EnpN+yKfQ5BtSFS2CXx33gnt5MxoHR2pmDQJnxYMI28EBCZmamqquPYQExPDhAkTCAwMtPnxffXVV8hkMnbt2kV5ebkoibV27VpefvllZs+ezahRo0hJSSEnJ4cjR47g6+sLwPHjx0XzyerqauRyOd7e3iiVShYvXtxgPz4+Ply4cIGLFy9SXl5OSUkJRqORWbNm0a9fP4qKikhJSeGWW26hpKQEDw8PwsPDmT9/frsyNIlEIrY7DBo0CJ1OR05ODpmZmezZs4fy8nLCwsLEQOjl5dXsORccAaxhM6rVapycnMwGs4CAgCbB7K+wpnizIEiHCbCzs2PmzJlMmDCBkSNHMmDAAJRKJT///DNDhw4V2yaEa3nDhg2cP3/e4vaXL1/OnXfeSVxcHAaDgbfffhsPDw+io6Pp3r07ixYtYtOmTfzP//wPAGfOnMHV1ZUefzDHp0+fzsqVK7l69WoDAs2kSZNITk5m4MCBVFVV8c4772A0GikpKSEkJAS5XM7//u//cv/993PixAm++eYbPvzwQ/bv34+bmxvr1q3D29ub4uJi3nrrLVxdXXnvvfdQq9WsXbuWHj16EBYWxi+//MKkSZO49957WySsuLu7WyVJ15r+xI6E52hPqx15LEHmJiPoSdskP7YrdT7yCLz/fpvLnRKZjO16PYb336dfv37ExcXd0PKXRqMhMzOT1NRU0tPT8fLyIiYmhunTp4vlRlvAVIRZeLz88sv06tWLrKws/P39ueWWW/D39yckJIQFCxYwfvx4BgwYQFhYGGPGjBEHisZ44IEH2L17N4GBgbi5ufHggw8C9WsYQq/PyZMn6d+/P3Fxcbz99tv897//ZcWKFbzxxhsEBQXx2WefMXjwYA4dOkR+fr7Y0N+RsLOzE0kwUE9MuHz5Munp6Rw6dKh+8dzHR5ydNpa5ElpTGgezxq0pAgHq72B2Y3DXXXc1+HnJkiWsWLGCdevWMWfOHDIyMnBycmLIkCEMHTqUnj178vTTT3P77bcjlUqZPn26uJ5sDhKJhBkzZpCTk4OdnR29evXis88+ExmIH3/8McuXL+epp57CYDAQFRXF7Nmzyc/PF1mSmZmZ9OvXjy+++ELMnLy8vKiurhbvm379+pGbm8vnn3+Og4MDjz32GJs3b+b999/H29ub+fPnExAQIJYxX3zxRR577DGio6OZPHkyR48eZeLEiXz88cfI5XL27duHk5MTM2fOJC4ujmXLlpGQkGDrr8OmkDnK6DKzC/lr8jFq2hgBJeB77/9j77zjm6r3N/5O0qQjbUrp3ovRUigFyqiMgmyliAIi/CjCRa54RVlekeFA8QooS/GCigICojJEUGTIbJHVUmaBUrrogu49sn5/1JzbkbbpYunzevVVSNLk5OTkPOfz+T6f59F/LmsqWm6APS4OOnZs3EiDiQnMno32ww9JTEwkMjKSW7du4evrS2BgYItVWcXFxcTExAjrYs7OzsJAeWOVmLVBF0NU3Z8yJycHKysrwbZLVwkZmqmmUqn0Jj/ofpuYmNQ6rKovAaIu3Lt3j7CwMOLi4oQF+oaMEKhUKr1Vmb51s/LycmHsxNjYWGhR5ufnY2FhgYuLi0CWCoXigXcJ/kb9qC6kaK6UjPLy/3mQNnR+7plnnuGDDz6gf//+eh/zd/vacJTEl3C+w3k0pQ0faRCZiHCZ6dJiYbQt69W5bh288QZU6nHXC5msgjBPnaogwD9RVFREVFQUkZGRmJiYEBgYSKdOnZqsaqqsxExNTcXLywsfHx/atWvXbNZUSqWSjIwM0tPTBeuuu3fvIhKJ9Ebp1Gdma0gCRG2zbS0xeJyRkcHJkyeJi4uje/fu+Pj46CW16sSmUqlqnbOsXq3Vpu5Uq9XcuXNH8BbNzMwUTLa9vb2xtbX9mwSbiMrS+eYkJ510vjnTJip7gzYUu3btYt68ecTExPzdBWgmpH6RSuycWDTFhpOfSCZC3kFOl9NdkJi0zIVGy6czLF8O771nWOVnago+PnDkCNTi+qHVagURREJCAh07diQwMFBvDEhtyMjIEMguJyeHtm3b4uPjQ5s2bZqkxKxswlz5Jy8vD2tr6xr2XbWZMDcmAUL3//oSIBqDyq3EuqT5BQUFqFQqAEHwoVAoah2YbonRFJ3Jts5fVK1WC5Wgl5fXAzO+vh/QuXg0V3JDfcPSDXEfqY2wHhaC6d+/P9HR0WzZsoWhQ4c+6M15rJD0SRIJ7yQYNMwuMhEh95HT+UhnpK1bzlDhvgTR8uuv8OabkJBQofSsbo1lbl4x8P7yy/DBB1UqvbqQn5/PhQsXuHDhApaWlgQGBtKhQ4ca5KXVaklNTRXGDsrLy6t4Yjbm6rC8vFxvlI5UKtUbpVP9NcrL60+A0Fe16WbbmgLdCdLQ+BetVmuQL6nOMT8rK4uwsDBiY2Pp0aMHPXv2fCDjCVqtlpycHIEE4+PjadWqlVANurm53fcgXWg5iblara6S29fQVl9dfpMPC0H9jUcTWfuzuP3mbUrjS9GUaWqMOUjMJSACx3864rnEs8UqPR3uD/EB6lI1Oct+h1WrkOddRkIJGqSUS2wpHvIPLFdNxbR9q/qfSA80Gg0xMTFERESQmppK586d6dKlC4WFhcLYgUwmE2zCGrJGqNVqyc3NrRGlk5+fX8OE2c7ODrlcLvxdfQkQtWVrtWrVqsFDytWNbev7LRKJDM4y01kdNRQ6AoyJiaFHjx706tXrgc7n6Uy2dUR49+7dKmuDDg4OVd6nzv7O0NZeYyXmTfVyrExQf7d1/8bDilJVKXt27iFpZRIusS6YlpmiNFKSY5lD0QtFjJozCi8Hr/uyLS1OfFqtlqSPkkj6qGL2RZ9pqUhWEUCo6K3Ad6svxg6N81hUKpVcvHiR8+fPk5GRgUwmo127dvTu3VuYf6sLZWVlNSq4e/fuYWJiojdKR0eK9SVA6GtLGmKSXNkxvz5pflFREWKx2OBQzJZY66sN2dnZhIWFcfPmTbp3706vXr2aNdqneqacoeSkSzrXuadUTuZWq9U1InCaay3qQUnM/8bfeBDQarUsO7WMD8M+BKCwvGZ4gUwiQywSE+QSxLbntuFoUdOSrjnRosSn1Wi5PvE6mT9nGra4aQTS1lK6nOqCWRvD4mtKSkoEJWZcXBxOTk7Cel1aWhoRERFkZWUREBBAt27daNWqFRqNhpycnBokV1RUVKOKs7S0rCEmqZwAoVAoalVJ6lM41uWYr4/MdI759bUYH6RjviHQudyEhYVx69Yt/Pz88PX1RSwWN1koARhUPdXX2istLSUtLY3k5GSSkpKQy+V4e3vj5eWFh4fHQ71//8bfeBih0Wp48acX2X1jN8XK+kWORiIjWpu1JnxKOG2t29b7+MaiRYnv1mu3SPsmrUGKHsQgc5AReDEQma3+E01+fr4gTklJScHT01NQYlbOe3vvvfe4efMmb731FlFRUSQnJ2NkZIRKpRIGlHUCDKlUWiPmJicnB7VaXWvVplAokEgkgtLS0PgXqVRqcJZZ9TUokUjErVu3aNOmTaM+k/pQWWI+bdo07O3tmTt3brNKzI2MjITbFAoFNjY2QhZiY5R8LSEx12g0pKWlCUkTKSkpODk5cfPmTY4cOcKZM2f+Xvf6G41G5ezL440Itn1UMPPATDZc2GAQ6ekgQoSDuQMXp1/ETm7XItvVYm63BRcKGk56ABpQZiiJeysOn6//F0eRmZkpkF1WVhbt2rVj+vTpwslHZ/Sry6j6xz/+QWxsLPfu3eP8+fNYWlri7+8vrNcVFRWRlJREbGwsZmZmVUitffv2QjCtRqMRiCsiIoK3336bq1evotVqUSgU+Pn50aNHDywtLfXGv+jampVvbw6TYX0S81GjRnHhwgUkEgkSiYS2bdsye/ZsXF1dGywxl8lkxMbGkpOTw4EDB2qtnnRJGYasU1UnqNzcXMLCwrh+/TrdunUjKCioyoXLpk2b2LBhA+Hh4bXuh/79+zNx4kReeukl4baGnEiqxzbpIBaLcXZ2xtnZmb59+1JeXk5iYiJXrlwhKyuLTz75BE9PT0EoU9kD8m/UjvDwcN58802uXbuGRCLB19eX1atX0717d4M+75bEd999x8qVK7lx4wYWFhYEBASwcOFC+vTp80C251HHxfSLDSY9AC1aMoszmXd4HhtHbWyRbWsx4ruz4k6FeqcR0Cq13Nt+D/mbcmKSK9qYpaWl+Pj4MGDAAOzs7MjMzOTo0aNCm3LevHmMGzeObt26CS2ppKQkxGIxd+/epbS0VIiycXR0pKysTJir052UCwoKSE9Pp6ioqIZjfnJyMkuWLGHSpEksWbIENzc38vLy2LlzJwMHDmTgwIE13odKpUIikVQhl8zMzCZJzAHWrVsnVKmVCSY7O5uJEycyePBgJBIJu3bt4r333mPDhg2YmZnRqlUrg0QVuouJa9eu4eLiUoVUmhOtWrUiJCSEvn37Eh4eztq1a+natStBQUGCSOhhgUwmo23btnTq1ImzZ88yffp0oRo8duwYxsbGAgl6eHg8lCbbDxr5+fmMGDGCdevW8fzzz1NeXk5YWNhDkZu4cuVKli5dyvr16xk6dCgymYwDBw7w888/N5j4VCrVY5Wg0VisPL2SMlVZo/5WqVHyw7UfWDN8DQrj5jUPgRYiPmWOkszdmU1y5laqlZx8+yTm/2dOx44dhfWXa9euoVQqMTU1FdqWJX/OCFYWDYjFYoyMjBCLxezdu5dLly6hUCh44YUX8PHxwdzcHK1Wy/79+7ly5QpSqZS+ffvyj3/8Q8iaU6lUAuGsXr2akJAQQkNDUSqVxMfHU15eTs+ePcnIyODbb7/l+PHjnDhxAldXV86dO0ePHj0ICAhg3759pKenIxKJ6NChA5MmTRKqpNdee40RI0Zw/Phx7t27R8+ePVm8eLFgx7V582a++eYbxGKxYOQ7depUfH19awgkfvjhB4KCggQvQj8/PwICAhgwYABQtb0CNSujqKgopk6dyq1bt3jqqaeqPH9OTg6hoaGcPXsWlUpF7969Wb9+PS4uLkBF5RUUFMSRI0e4efMm/fv3Z+PGjbRu3RqoiG+ZM2cO0dHRuLu7s2bNGvr37w/Anj17eP/998nIyEAul9O/f38GDx7Mq6++ilKpFHLlcnNzG3UspaamMn36dMLDw2ndujXz5s1j2rRpHDhwgP/85z9otVr27NmDt7c3ly5dIi8vjzlz5rB//37EYjFTpkxh8eLFVSpWhUJBQECAYJqsS7s+f/48P/30E/b29oJa1MXF5e+2KBATEwPA+PHjgYo0hSFDhgAVYa7Tp0+v8XmXlZWxcOFCfvzxR8rKynj22WdZtWoVpqam+Pr68vHHHzNixAiggnAcHBw4dOgQXbt2rfOYq4y8vDzeeecdNm7cyHPPPSfcHhISQkhICFDheTtz5kyuX7+Oqakpo0ePZuXKlcJFtkgkYu3ataxevRqVSkV8fHytwbd/BeSW5rIjegdqbeNJQCwS8+2lb5nRY0Yzbtmfz93szwhkH8hGJG2aak1SLsEi3IIrV64QFhbGmTNnhKgPnWWVbmhap8SrfGLShSJeunSJ/v37880339CrVy9+/fVXZDIZ+fn5vP/++8jlcubOncvEiRM5efIku3fv5ocffmDr1q3s37+f06dPExERweXLl+nSpQslJSWIxWIUCgWOjo60adOGgIAA+vTpQ8eOHUlMTGT48OGkpaWxd+9eXn31VdavX092djbx8fGYmJgQGxtLaGgo48aNw8zMjKtXrxIeHk5SUhKpqalcvXqVzp07k5iYyMaNGzl69KgQ6AoYNF5QXl7Otm3b6NWrl0H7W9cqDQ0NJTs7m7Fjx7Jr1y7hfo1Gw5QpU0hMTCQpKQlTU1NmzKh6QH777bd88803pKamYmRkxOuvvw5UONA//fTTLFq0iOzsbD755BNGjx5NRkYGRUVFvP766/z2228UFBQQFRXFrFmzcHBwYOTIkfj6+pKent5o0oOKE62Liwupqans3LmTBQsWcOTIEYYNG8aCBQsYN24chYWFXLp0CajIhDMyMiI2NpaoqCgOHTrEhg0ban1+nQNP7969CQ0N5Y033iA4OJjy8nL279/P8uXL+f777zl//jxZWVkGpQs8jmjXrh0SiYQXX3xRMB/XwdfXl/Xr1xMUFERhYaHweeucVC5evEhsbCwpKSlCFp4uh1KHgwcPYmNjQ9euXes85qrj9OnTlJaW1prsDhXhq6tWrSIzM5PTp09z5MgRIa9Phz179nD27Fmio6OF4NsJEyZw7949tm/fzr/+9S+uXbvWpH34qODQ7UNIxU2bkS1SFvFN1DfNtEVV0TIVX4YSTXkTIuf/hKzkf1dTEokEtVot5EBJpVJhDU0ncFAoFNja2lbJhurcuTPPP/88MlmFo/no0aMZNmwYV65cEa70pVIpRkZGODg4EBMTw7///W8uXbpEREQEBQUFuLq6otFoePbZZ/HxqVh3fPPNN/nyyy9RKpXMnz+fRYsW0bp1a5ycnJg3b57wHhQKhZAEbWtry5w5c1i8eHGV9/n666/j5OQEVFxlXrx4Eagwj54yZYqQSfjee+9V+aLrw+uvv84bb7xBcXExpqam7N6926B9febMGZRKJbNmzUIkEjFmzBhWrlwp3G9tbc3o0aOF/y9cuFCoJHUIDQ0VtvWDDz4gICCAzZs3s3XrVp566inBpHjw4MEEBgayf/9+xowZg1gs5urVq7i5ueHo6CjkoCUlJXHt2jU+//xzAgIC6N27t17nFd171kGlUglrbnfu3CE8PJxffvkFExMTAgICeOmll9iyZYve9vTdu3f57bffyM3NxdTUFLlczuzZs/nyyy95+eWXDdqXUqkUb29vvL0rfAYLCwuFtmhYWBhisVhQi3p5eTXraMfDDIVCQXh4OMuWLWPatGmkp6fz1FNP8dVXX+l1XtJqtXz11VdcvnxZ6BwsWLCACRMm8NFHHzFhwgS6dOlCcXExZmZmfPfdd0yYMAGgzmNOZ86uQ1ZWVr1Wgd26dRP+7eHhwcsvv8yJEyeYNWuWcPv8+fOF7fzhhx/qDL593JFRlIFS0/QwYQ3UPgAAIABJREFU8qySrGbYmppoEeLTqrVNjqQAMDc15+WXX66yFqWr7qpj8eLFBAcHM2jQIOG28PBwlEqlcNBaWFhQVlaGg4MDf/zxB+np6QLhQMU8WN++fTE1NaVXr1707NmThIQETp06hUgkYufOnUyZMgVnZ2eWL1/O8uXLmThxomDTBVQJrIQKI+fXX3+dsLAwCgoK0Gg0WFWzY6s8Y2hmZiaEcKamplb5wlUOwKwNn376KS+99BIajYZTp04xcuRITpw4gb+/f51/l5qairOzc5V9W/n1iouLmT17NgcOHBCu1AsKClCr1UKlXT2sU6lUkpmZSWJiIjt27GDfvn3C/UqlkgEDBiCXy/nhhx/45JNPmDp1Kr1792bFihX4+PhgamqKlZUVr7zyCqdOneLzzz+nc+fO9O7dGwsLixrvWQddC1f3vnSZgJW3LSIiQu9+SExMRKlUCuQLFdVu9c+1ITA3N8ff3x9/f38hziYuLo5Lly6xd+9ebGxshPVBV1fXx9oI2dfXl02bNgFw48YNJk6cyKxZs/Re0GVkZFBcXFzlO6DValGrK9pnbdq0wdfXl3379hESEsLevXuJiooCqPOYqw5ra2syMzPrXJuLiYlhzpw5REREUFxcjEqlqrJdUPX4ry/49mGBbn82xEGo8m26BHZd8rpSqUSlUnFKdQolTSc+teYRSmCXtpYikooaH0fxJ2TWslojdpoKV1dXPD09uXXrVq2PEYlEeHp64unpyWeffUZUVBQWFhaYmpoSGBioNx2+OinPnz8fkUjE5cuXsba2Zs+ePTVahLVBF4CpQ+UAzPogFovp27evEBrr7+9fZyimo6MjKSkpaCvlHyYlJQlVy4oVK7h58yZnz57FwcGBixcv0qVLlyptu+rbKpVKsbGxwdXVldDQUL766iu92zp06FCGDh1KSUkJixYtYtq0aYSFhQnboVAoGD58OH369OHUqVP897//FQiwPjg5OZGdnU1BQYFAfklJSTj/GXJc/fPS5atlZma2iEBBJBJhZ2eHnZ0dvXr1QqVSkZyczO3btzl8+DCZmZm4u7sLRGhjY/PYDrv7+PgwefJkvvjiC6DmZ2FjY4OpqSnXrl0TPq/q0LU7NRoNHTp0EMZ86jvmKiMoKAgTExP27NnDmDFj9D7mlVdeoUuXLmzfvh0LCwtWr17Nzp07qzym8vbXF3zbUNSXZNEYB6HqY0a6HyMjI6HA0KnkdQRZ3c1IpVJhYmIiKOPNzc2xsLCgtLCU4zeOU6JuRDpPJViaWDbL/quOFiG+Vv1bVVR9TYDIWITNMy2Xe9ejRw8UCgXLli3j9ddfRyaTcf36dUpKSujevXuNx69YsYKhQ4cSGBhIz549iYmJYefOnVy4cKFOV5iCggIsLS1p1aoVKSkpfPzxxwZv4/PPP8+UKVOYNGkSHh4eNVqk9eH06dNER0cLrZWAgABWrFjBokWLBMGODkFBQRgZGfHpp5/y6quvsnfvXs6dOydcIRcUFGBqakqrVq3Izs7Wuy1bt24VtvWdd95hzJgxSCQSJk6cSPfu3Tl48CCDBg1CqVRy5swZwRT87NmzDBw4UAiE1VU89vb2JCcnU15ejkxWkQ49bNgwevfuzR9//MF///tfsrOzBXGTPri6uvLEE08wf/58PvnkE2JiYvj666+F8QV7e3sOHz4sJGg7OjoyZMgQ5s6dywcffIC5uTnx8fEkJycTHBzcoP1vCIyMjPDw8MDDw4OBAwdSXFwsmGyfOXMGjUZTpS36sKldG4IbN27w66+/Mm7cOFxcXLhz5w7bt28X1qGrf95isZhp06Yxe/Zs1q5di52dHSkpKVy9elUwkn7hhRdYuHAh2dnZQpsTqPOY0wmydLC0tOT999/n1VdfxcjIiCFDhiCVSvn99985duwYy5cvp6CgAIVCgbm5OTdu3GDdunV6L8p1Y0b9+/fnzTffZO3atTz11FOUl5dz+fJlZDIZLi4u3Lt3D7VazeHDh4mIiKCkpIQff/zRoDEjQ0aHqo8ZSSQSVCqVINjTVWglJSUUFxcLI1v5+fl6U1Nq+105NSU/P/9/5vC31SjVTav4jCXGjGw3sknPURtahPhM3E2wDLIk91jjBQkikQjnf7VM+i5ULFbv27ePuXPn4unpSVlZGe3btxcUj9XRp08fjh49yuLFi1m2bBlQUU107doVS0tLvvnmG6Fiqox3331XUHG2adOG0NBQVq1aZdA2Dh8+nFmzZvHkk08iFotZsmQJ27Ztq/NvZsyYIaw7ODg4sGTJEoYPHw5UrMH9/vvvwol2ypQprFixAqgQzOzevZtp06axaNEinnrqqSoKt1mzZjFhwgRsbGxwcnJi7ty57Nmzp8prh4aGMnnyZG7cuEFwcDDr1q0DKsjn559/5s0332T8+PFIJBJ69OjBunXr0Gg0rFixgtDQUEQiEQEBAYJo4Mknn8TPzw8HBwfEYjGZmZlARct66NCh9O7dm++++47jx4/j7e1Nnz599OYmbt++nenTp+Pk5ISVlRWLFy9m8ODBAIwdO5atW7dibW2Np6cnFy5c4Ntvv+Wtt96iQ4cOFBQU4OXlVWXdtiVhZmaGn58ffn5+aLVasrOzuX37NteuXePXX3/FyspKIMEHZbLdWFhYWHD27FlWrlxJbm4urVq1YsSIEcLFoL7Pe9myZbz//vv06tWLzMxMnJ2deeWVVwTic3R0JCgoiBMnTvDjjz8Kr1XXMQf/M2rXkcqECROQSCS8/fbbTJgwATMzM3x8fJg4cSLHjh1j3LhxrFq1io8++gh3d3d8fX25du0a69atQ/ln2Pa6deuwtLQUjMJDQ0NZv3498+fPR6vVCt85IyMjlEolWq1WqJR0wbl1kVl1ZXB5eXmtphmZmZlVTDPUarXeOWNbW9satxuamlJeXs6tW7cEsisqKhKOzYEDB3Ju7zmOxB9p9PEiEol4tcerjf77Op+7pZxbsn7L4trz19AUNk7kYjXUis4HOjfzVrUM1Go1MTExREZGkpaWRufOnenWrRvW1tYPetPuG/QNkt8vFBYW8scffxAVFUXHjh3p06cPlpYt0yJ5kFCr1aSkpAjZg/fu3cPFxUWoCO3t7R+7tqhGo2lwa8+QdSqdUXhD/FcNcRVqilF49dSUunx5dakp+shMnz+vztyjqZ9FWlqaQHRpaWk4OTkJbXndBYsOB2MPMmbHGL3enIZgsNdgDoUeatI214YWIz6tRsvF/hfJP5ePtqxhLyGWi+l2thtyv0evrZOdnU1kZCQXL17E3t6ewMBA2rdv/1gLFuDBEp8ORUVFAgF26NCBvn37PpYEqENpaSkJCQnCiaisrEy44vb29q4i6Glp6EuyMNQpqK7HajSaJqdX6COw+2UUXltqSm1kVjk1pT5/XkPGmpqKnJwcQZEcHx+Pubm5cKHl7u5ep3+tRqvhyc1Pcjb5LKXq0ga9rlwq5/TU03Sy79TUt6AXLerVqSpQcaHXBUriStCWGvYyYjMxHX/uSOtBrVtqs+4LVCoV169fJzIykqysLLp06ULXrl0fW2urh4H4dCgqKuL06dNcuHABX19f+vbt+9ju98rQd5LSkaC7uztSqbTJUUu13acjKEMJyNBq6mFMstAZzRsSAVZXakptZPYgUdvFlI7sGnoxVVBWwBPfPEFsdiylKsPIz8zIjJ9e+Ikh3kMa8xYMQovHEqmL1Fwdc5W8E3kVs321qFMlFhJEMhH+v/qj6Nn8FjUPEhkZGURERHDlyhVcXFwIDAykTZs2f7t5tDCKi4s5ffo0kZGRjxQB6pOYG9K+q/5/nfWerrUHFesmUqkUY2NjjI2N6ySkhrT6ahszelRQOTXFkAgwIyMjgyPAHuZ1WH3tc1dXV4Hs7Ozsmvy5FpUXMW7nOI7GH0WpVqLSqvQ+zkJmgVQi5ZfxvxDkGtSk16wP9y2ItvBqIQkrEri3/R4qiQqNVoNIJMJIZYRJBxPaLmyLzTM2iKWPLxkolUquXr1KZGQkhYWFdO3alS5dutzXltRfEcXFxZw5c4aIiAh8fHzo27dvjVnKxqC6xLw5ZebVJeZNDarVarWkpaURHx8vCBE8PT2FK/lH4YKgoagvNaX6b11qiiERYA8zmdWFyoKpuLg4EhISBMGUt7c3bm5uLeYzeu3eNT4+vZLvrnwHIiO0gEgEWo2S9jYdeLfvfEb5jEIqafl9e1+ILy4njuWnlrPl8hZMy0xpdbcV5qXmlEvLybPMI9sqm872nVnQdwEh7UIe6StHQ6HLCoyOjsbT05PAwEA8PT3/Eu/9fkMnMc/Ly+P8+fNcuXIFV1dXOnTogLGxcb0kVBdx1SUxr0soUV811dLdgMrS87i4OExMTAQS9PT0fCiMo/VBq9VSXFxsEJkVFxcjk8kMjgB7XI2lK4/IxMXFPZARmfiSEpYlJbHl7l1EqmKKipNBVQhiGRKZDVIzB/zlcua7ufHMfZhdbXHiOxp/lGe2P0OpuhSVRn+Jq4NcKmd8x/GsH7EeifjxFoPoUFZWxuXLl4mIiBDcIAICAqrE8/xVoNFoGqTMM7R6UiqVVQjIyMhIEBxYWFhgb2+PhYVFg1V8+iTmjyK0Wi3p6elCuyslJUUw2fb29sbZ2blF36dGo6mTzCr/W5eaUpuasfrtj7uoTB8qmyLExcU9cFOEYzk5jLx6lVK1mroZAORiMePs7PiiXTuMWvCYa1HiO5l4kuHbhjcoj8lMasZo39FsHrX5L1X9aLVakpOTiYyM5MaNG7Rv355u3brh6uraLPth+vTpODs78/bbbzf5uXQS8+aWmatUqgZXTk2RmJeWlnLmzBnOnz9P27Zt6du3719qBKU2KJVKkpKShBNnXl4eHh4ewonTysqq3mNSl2NpiJqxpKQEExMTg6T5ZmZmf0kyqwuVbfBu375NUlISNjY2QlX3IG3wwnNzGXr5MsUaw8fazMRinrOx4Vs9CTTNhRYjvuySbDxWe1BQXtDgv5VL5awatoppXae1wJY9/CguLubSpUtERkYikUjo1q0b/v7+dWa8DR06lJ49ewrO9VCxcL1r1y5ee+01Ll26ZDBh1VdpNYfEXN9tD0rBV1paytmzZzl37hxt2rShb9++2Ni0nGvQowadyXZsbCxxcXGIxWLs7e2xsrLC1NRU7+xZaWmpYPJtbm7O3LlzycvLE07AIpGIcePGsWbNGuRy+UNTOefm5gqRVEVFRTg6OjJ16lTBwEAkEnHr1i3BGu1BobLxeVxcHBKJRLgw8fT0fCiMz3OUSjzOnCFf3XC/TTOxmJVt2vByJS/l5kSLEd/Hpz7m3ePvUqJqnFebq8KVxFmJj33VV1nBp4+MUlJSBLWVra0t9vb2yGSyGo8PDw9nz549LFiwQLhdq9WyY8cOrK2tGTNmTL0E9ShLzJsDpaWlnDt3jrNnz+Lt7U2/fv0eewLUxXsZMjBdVlaGqampcAFWXl5OcXExcrkcR0dH3Nzc8PDwQKFQYGZmVoXMPDw82LBhQxUT+YcRU6ZMoaioiC+++AJLS0tiYmK4evWq4OH5oIivOarw+40Vd+7wTnx8g6q9ynCWybgTFNQi76tFiE+j1eC8wpn0ovT6H1wLzGXm7Bu/j/4e/Ztvw5oAnYKvuR0kysvLEYlEdRKOTkGWk5PD3bt3kclkeHp64uHhgZmZmTCf1bVrV77//nsGDBiAVColPz8fJycnzp49y6pVq6qE0P7888+8++67xMXFYWtry+eff86wYcMMCmF93FFWVsa5c+c4c+YMXl5e9OvXr8XM0lsCKpXK4IHp8vLyGm3F2gQgZmZmNU5CKpWKO3fuCG227Oxs3NzchDabbj2pLuLbtGkTX331FT169BDCi7du3UpMTAxvv/02ZWVlfPzxx0Kc0OTJkzEzMyM+Pp6wsDA6d+7Mrl27WLp0KZs3b8be3p7t27fTpUsXAJYuXcpXX30lSPU//PDDWrP3OnbsyJIlSxg1alSN+/r160dYWJiwH77++mvGjRvHV199xbJly8jOzqZPnz6sX79eSH0RiUSsW7eOFStWkJmZyYQJE1i7dq2wH7/55hs+/vhj0tPT6dGjB19++SXu7u5Vwo3j4uJITk6+r+uuTYVGq8Xl9GnSyssb/RzmYjE/d+rEk82gwK6OFpExHU84TqGycTY1OhSVF7Hq9KoGE59OwdfQIV1DZqQaIjE3NjYWUtTrq6YaQioajYbbt28TGRnJoUOH6NixI4GBgdjZ2TFu3Dh2794tZJDt2LEDHx8fOneuav127tw5Jk2axM6dOxk4cCBpaWkUFFS0pF988UXs7e2JjY2lqKiIESNG4OrqanAW3eMAY2Nj+vbtS48ePTh//jybN2/Gw8ODfv36YWdn90C2SalUGiTJLywsRKlU6iUvKysrXFxcqtxe2WS4MTAyMhISTHQm27r22+nTp9FqtXh5eaFUKiktrX2A+ezZs7z00ktkZWXx7rvv8sILLxASEkJsbCwnTpxg9OjRjB49Wshj/PHHHzl48CB+fn489dRTBAUFsXjxYlasWMG7777LnDlzOHbsGADe3t6EhYXh4ODAjh07mDhxIrGxsVWip3To1asXCxcuJCcnhz59+ghZmgAnT55EJBJx6dIloeI7evQo8+fP59ChQ/j5+fHGG2/wwgsvcPLkSeHvfvnlF86fP09+fj7dunUjJCSEYcOGsWfPHv7zn/+wb98+2rZty+LFixk5cqRwQWpsbIyXlxfdu3dn7NixdS51PGw4mZtLQSNanJVRqNGw6s6dFiG+Fqn4voj4gtkHZze6zamDq5kr3/f+vsFkpTOJbW6hxMN2hZWXl8eFCxe4cOECrVu3RiQSMXPmTNLT0zE1NaV3796MGTOG2bNnM3nyZKHie/nllzEzM6thln337l3c3NyEEFaoMHj+8ssvhZPIXxHl5eVCBeju7k5wcHCzEGDltbG61IyFhYWo1WqDB6YNNRluaWi1WrKysoiLi+Ppp58mPz8fiUSCWCxGLBazfPlypk+fzqZNm/jwww+FiLArV67g7+9Penq6EFBrbW3NkSNHCAgIYPLkyUilUiFy6LPPPuO///0v169fF/6+b9++Qop7dQQEBLB48WKeeeaZGveVlJSwatUqdu3axeXLl3F3d+ezzz4TjN6rtzqnTp2KtbU1y5cvByrW3qysrLh16xYeHh6IRCLCwsLo06cPUJG40rVrV9566y2GDh1KcHAwXbt2JS4ujvz8fN5991127dpFnz59HunZyq9SU5kVG9voNqcO3iYmxP6Z3tGcaJGKr6C8oN7RBUNQpCyioKAAmUwmXLH+VSTmhsDS0pIBAwbQr18/YmJiiIiIQCqV8sEHHzB69GjOnz+vN4H9zp07QlVYGS0Rwvo4QCaT0adPH6EC/Pbbb3F3d6dfv341ksPLy8v1thj1tRp1jvnVyczGxgYPD48qpNYcJsP3GyKRCBsbG2xsbJDL5WzduhVfX1+hfXfv3j22bt3KrVu3aN26tZAFqbvoqrxvTU1NKSz8Xxep+n11Pfbbb79l5cqVJCQkABXkpEv6qA5TU1MWLFjAggULyM/PZ+nSpYwdO5akpCQhXb0yUlNT6dq1q/B/c3NzrK2tSUlJwcPDA/hf0LTmTxKIjo5m06ZNREVFceLECeGcJRKJEIvFtG7d+qEivepjRnUVHWVlZRQXFxOu1VJmbl4xod4EFDWROGtDixCfhcwCI7FRk6Pn5VI57du3x97e/qFQKT2skEgk+Pr64uvrS3R0NL///jsRERF06NCBrKysGgINV1dXbt++XeN5WjqE9VGEzjFfR1ZWVlb07t2b2NhYNmzYIIRw6qo3fY755ubm2NnZ1bj9USSzpkAikeDm5oabmxsDBgygtLSU+Ph4IiIiyMjIYMWKFXh7ezfrsZeYmMi0adM4cuQIQUFBSCQSAgICasSH6YNCoWDBggV89NFHxMfH6yU+JycnEhMThf8XFRWRlZVVJTj36tWrREVFER8fT1JSEp6envTu3ZvOnTszefJk/u///q9Z3mtl1XZzzsGqVCohyUJXreuOW61Wi0ajQa1WC3l/RkZGlDg5IZHLUTfx+DZvIW1Bi5zd2lm3a/IAuggRzjJnjh49yt27dzExMcHe3r7Kj7W19V+mujMUL7/8MitWrMDOzo7Zs2dz9uxZfvvtN9LS0gSBxtSpUxkyZAgjRoxgwIABwhqfj4/PfQ1hfVDQOeYb0mIsKipCJBLVIC0XFxfatm1Leno6MTExODo6MmrUKNzc3P5SZNYUmJiY4OvrS0BAABEREUydOpXbt2/zxx9/ABX5djoxR2Oh+/x0x/7GjRu5evVqrY//4IMPGDZsGJ07d0aj0bBmzRpatWpF+/btgYpKMy4uTmh1TpgwgRdeeIEJEybg6+vLvHnz8Pf359q1a+zbtw+AlJQUevfuzdChQ4mOjsbJyQkXFxdefPFFlixZgpOTE56enmRlZXH8+HGefPLJBpNTQ8eMjIyMMDExEXxbq5uXl5SUUFpaKqjOdV23+gwDdKMpJ3Jz+e3KFcqbsM4nAjq0kJFHixBfsEcwFjKLRucwAchlcpaNWkY/935otVpyc3O5e/cud+/eJTo6mmPHjpGfny9I/O3s7LC3t8fBweEv6Xqig4eHB0888QSXLl1ixowZGBsbc+/ePQ4cOMCFCxfYvn073bp14+uvv2b27NnEx8djb2/P559/jo+PzwMNYW0Kqjvm1yfNl0gker+0jo6ONb7UMlndjvlKpZLIyEh27tyJs7MzwcHBeoUTf3WEhIRUEXINHjyYn376Sfi/lZUVgYGBtGrVipkzZxISEkJcXBxhYWEUFBTw22+/ARVzroZKEzp06MDcuXMJCgpCLBYzadIkevfuXevjRSIRU6ZMISkpSQiH/eGHHygpKSEvL48ZM2YwceJESktLWbBgAcHBwYwdO5YhQ4ZQWFiIq6srY8eOJT4+XrB9y8jI4NixYxw8eJBLly4RHx/PmjVrkMlkdO/enYkTJ5KdnY2ZmRn+/v60adOmClnpvEHrm4vV7Zva1Lx5eXlVRlPMzMxqHP+6tnR1NW9DC4x+lpZYSiQUNoH45BIJs11cGv33daHF5vhW/LGCd46/0yDXlspwt3QnfmZ8nVfP5eXl3Lt3TyBE3Y9UKq1RHdrY2PylJPn6UF5ezrVr14iIiKCoqIiuXbvStWtXQSn3sEFnMmxo/Etlx/z6pPktYTKsVCq5cOECp06dwtHRkeDgYEHW/jeahrKyMhITE/Wmfbu5uQnt5sa29vQ9ViwW6yUc+N8MY2FhIcbGxlhbWwsX4KampnWK5xqSZKFvNKW23+Xl5ZiZmRnkTWpqatri3bLVd+6wsAlzfK7GxiT26vXozPEB5JTk4LHGg/yy/Ab/rZnUjE+Hf8rULlMb/LdarZb8/HzS09O5e/euQIy5ubnCwVn5Ry6X/yVbU6mpqURGRhIdHY2XlxfdunW7LybZOpNhQ1qMRUVFDWqxPCyO+SqVigsXLhAeHo6DgwPBwcFV1nz+imjuMaPS0lLKyspqxC2ZmJgI66dNMWmoPGZUUlJSxSVFrVYLpOvl5dXgC8f6RlMqfw9qG02pjcwepnNZ7p/OLXmNqPrkYjGr2rRh2qPm3AJwKukUQ7YOabBX5wsdX2BDyIZm/RCVSiUZGRk1qkORSISDg4PQKrW3t8fW1vYvI+4oLS3lypUrTTLJ1mg0NeJfamsx6kyGDZHmP+qO+ToCPHXqFHZ2dgQHB+PSQq2b5oKOoBpi0tCYMaPmtLwTiUSkp6cL1WBKSgoODg7C+qCTk1ODqhu1Wl1lKL+yybOXlxe2trY1zk1KpdJgNa9KpTLIMOBhGk1pLE7n5THo0qUGe3WOtbVlo4/Po+fVqcOJhBOEbA+hVFVar8pTLpUzqfMkPhv+2X1JZ9BqtRQUFNQgw5ycHKysrGpUhxYWFo/0QVgXdCbZERER3Lx5k3bt2uHn54dCoag3BqakpERwzDcky+yv1nJWqVRERUURHh7ebATYEIl5Q4QSlZMsmnMO9n6OGSmVyipt0fz8fDw9PQXiqq7O1Gq1ZGZmCo9PTEzExsYGd3d3HBwcUCgUVVrudY2mGFKdPepk1lCczM1lxJUrlGo0KOuhG7lYzER7ez5v1w5JC+6j+5LHl5CbwIrTK9gUtQktUFTJ1UUqliIRS+ju1J23+rzFU21rzpfdb6hUKjIzM6u0S9PT09FqtTXI0NbW9qFpsdUHnWN+fesFBQUFgsuGWCymVatW2Nvbo1AoarWy+quRmaGoLDEvKSkRpO0WFhb4+PigUCgaFVSrVqsNqpAaE7X0uJ2UCwoKhDbl7du3kUgk2NraIhaLKSoqEmb6TE1NkUgkqNVqQUBjaPzRX200paFILC3lkzt32JSWBlS4suggBSRiMd3MzZnv7s7T9yEh5b4lsF8qLGRZ/C12RP+IKO8qWmUuIokpWhMn2nqO4h2fIJ6ztUX2EI8nFBYW1qgOs7KysLS0rNEutbS0vC9fBJ3JsCEtFp1jviFfZp0fYXx8PJGRkcTFxdGhQwcCAwMfS8WizijckHUnQ1t7lSXm1cmotLSU3NxcjI2NcXFxoXXr1ga39nRy9L9PtP8bTanv+Nf9aDQaRCIRGo0GiUSCRqPBzMwMBwcHXF1dcXd3R6FQCGrev/dxM+LyZUrWrOGHjAxO+fmRaWmJvLQUr9RUXrx9G++XXoLRo6EeFXVzoMWJr0Cl4rlr1/gjL48yjYbaljktJBKMRCJ+6dSJJywtW3KTmhVqtZrMzMwahKhUKmtUh3Z2dvVK4+F/Si5DjIary5LrajU2RpasQ0FBAVFRUVy4cAG5XE5gYCB+fn4GvZ/mQn1JFk1R8QHNbnGnE0jUdvJUq9VcunSJsLAwrKysCA4Oxt3d/b7tz4cV1UdT6ls3lkgkeo9/jUZDfn4+mZmZQrpJ27Zt8fImFSsVAAAgAElEQVTywtnZGYlEIphs69qc2dnZVUJbra2t/ya/pqKwsILQwsOhrAxqE7uYm4NUCvv2QR0jJ82BFiW+PJWKXhcuEF9SQpmBL2MmFrO7Y0eG6nFJeJRQVFQktEh1vzMzMzEzMxOuKHXrHtUly+XlNR3za/utzzG/JaHRaIiNjSUyMpI7d+7QqVMnunXrVsW7Updk0VzrTtUl5s0pjKhMUA8KarWay5cvExYWhqWlJcHBwYLd1eOCpoym1NVirDyaUlBQIBBYZZNnb29vPDw8DDJ5LioqIj4+XngeQHgOLy+vv/SMcKOQnw+9ekF8PNRhUl4FZmawaxcMG9Zim9VixKfWaukXFUVkQYHBpKeDXCzmdNeudHpI58t0qCxLrm9gWqVSYWZmhrGxMUZGRoI4oaSkBJVKhZWVFXZ2djg6OuLi4oKDg4MwANtSqE1iXhthRUZGsnLlStauXUt5eYVFV25uLoWFhYjFYnbv3o1CoWDAgAFIJJIGVU+GVlOP81qiWq3mypUrnDx5EoVCQf/+/R9qAtSRmSFVWV2jKfqqNUPWzcvLy6uIWHSGC7ofqya6+utMtiuLXjZu3MjTTz/Na6+9xtGjR9m4cSPh4eFAhU/n5cuX8fLyatLrPjbQaCA4GM6fr6j0GgK5HE6dgmrJMs2FFiO+/VlZjIuObvTk/hArKw620JuuC7oTur4v88GDB9m7dy9paWkYGxvj4ODA0KFD8ff3r1fNWJeSq6SkpEarNCMjA7lcLrRIbWxshMTrytXUtWvX+Oijj7h27RparRZHR0cmTZpEQEAAUVFRrF69mtWrV+slN5VKhUQiqZNw6iMoXTBtcnIyc+fOxdjYmHnz5hEYGFhFPbdp0yY2bNggnCT+Ru3QaDRCBWhhYSFUgPejstc3mlLb7+LiYmQyWRXSOnfuHHv37iUpKQlzc3P8/PyYN28egwYNavJoilarJS0tTSCi1NRUHB0dhYrM0dGx1lb+5MmT2bx5Mz///DMjR44Ubp81axZr1qxh48aNTJ48uc7XV6vV9O7dm969e+Pr68uBAwe4cuUKmzZtwsvLCzs7u7/bopVx4ACMHVvR6mwMBg2Cw4ebd5v+RIsNSS1PSmqSXc2J3FySS0txaWIGlc5k2FD3A61Wq5e8Dh8+zLZt2/jPf/7DsGHDaN26NceOHSMsLIxp06YBVSXmxcXFwkkkLy/PIKFEZVNYMzMzSktLiY2N5ebNm1VMYY2MjDA2NsbExITFixczbNgw3nzzTWQyGXFxcUgkEuzt7XF0dEQqlfLEE0/oJazmlJg7OzvTpk0brP9UZH399dc4ODgQGBhIu3btmuU1/ioQi8UEBATg7+/PlStX+PXXX5HL5QQHBzfKZECj0dQ5klL5Aq/yaEr174GNjU2doykrV65k06ZNrF+/nqFDhyKTyThw4ABHjhxhWAPbVjqz49zc3CrD43K5HC8vL4KCgvDw8GjQGnO7du3YvHmzQHwqlYodO3YY7AUqkUgEf9GXXnoJjUZDXFwcWVlZnDt3DpVKJVSb3t7eD60j0n3D8uWNJz2oWBO8cwdaIB2mRYgvvqSEs38GmzYFn6ek8JGeg7KyY74hX2aRSFSjxWJiYoJCocDW1lZQyelUXtXbfzk5OXzxxRf861//QqFQcOLECeE+Z2dnPv74Y3777TchHf369es8++yzuLu7s2PHDtLT05HJZAQFBfHPf/4TuVzOzp072bJli/CelEolI0eOZNCgQaxfv57jx48LBPXpp58SHh7Onj17KC0tFdxoYmJiyMzMxNPTk4SEBBwcHOjQoQP29vaYm5vz2muvUVZWJgTRxsTEMGfOnCpJ7MePH2fixIkkJycDFV6fL7/8Mlu2bCEtLY1Ro0axbt06TExMajw2KiqKqVOncuvWLZ566ikhUmbIkCE8+eSTREdHc+bMGfbv38+9e/cEl43qSE1NZfr06YSHh9O6dWvmzZvHtGnTSE1Nxdvbm5SUFKF6jIqKYvDgwaSlpSGVSmtNsH4cIBaL6dy5M506deLq1avs378fMzMzoQKs7IBTV6u9pKQEExMTvWre6qkRjR1NycvL45133mHjxo0899xzwu0hISGEhIQAFQHIM2fO5Pr165iamjJ69GhWrlwpkJdIJGL16tWsWrWK0tJSFi1aRGJiIocOHSIhIQE7Ozs+/PBDhg8fzvnz53F1dSUlJUWoJHft2sUHH3zAxYsX9W5jSEgIW7duFeZ0Dxw4gL+/vxDCDPDee+8RGxvL1q1bAUhISMDT0xOlUlmjYpXJZJiZmTFixAhh+3fv3s3NmzfZtWsXP/30E3FxcXh7e/P0008TFhYmdDxmzpzJ7t27ycvLo23btqxevZq+ffsK2xAdHY2JiQk//fQTbm5ubN68mcDAwAZ/Lg8MiYlw+nTTnkOjgbVrYdmy5tmmSmgR4juRm0tTV2LKtFp+TE5mwO3bFBQUCF/i4uJiYcZMZ0ukW/upHJmhIzsTExNUKhVKpZKsrCzS0tKqSMwNUfIlJSWhVCqZOHGi4MNX/bG67K4dO3YwcuRIysrKiI6OZtSoUQQGBpKcnMzw4cNJSEhg1qxZDB48mC+++AKoyMfr2bMnU6dOZeDAgSxcuJD09HR8fX0B2LZtG4sWLQIqHO110S6BgYG89957XLhwgXHjxuHi4oJarSY6Opr09HQmTJjA7t272bRpE/b29pSVlaFS1Z+TuG3bNg4ePIhcLickJIQlS5YIRKlDeXk5o0aNYtasWcyYMYOff/6Z8ePHC4bWRkZG+Pv74+/vz7179/joo49IS0tj+/btBAYG4u3tLVSb48ePx8/Pj9TUVG7cuMHgwYPx8vJi4MCBBAUFsWvXLqGq/u677xgzZgxSqbRGgvXSpUsZP3684O7/qKH6aEp1UrOwsCArK4tt27ah1WoxNjZGoVBgYWFRhbwcHBz0Oua3JE6fPk1paSnPPvtsrY+RSCSsWrWqyvfh888/Z8yYMYKQZO3atbz55pv4+Pjg7u5O//79ef/99wkNDeXy5csMGTIEPz8/unfvjrW1NYcPHxZCYrdu3UpoaGitr29iYsLIkSP5/vvveeWVV/j222+ZNGkSn3/+ebPth06dOtGmTRt27dqFp6cnn3zyCefPn+eTTz7Bzs6O8PBwvL29CQwM5J133sHS0pI1a9YwduxYEhISBAHO3r172b17Nxs3bmTRokXMmDGDM2fONNt2tjhOnICmui6Vl8Mvvzw6xJetUtU7oW8IMktKOB8ZiZGRkUBEupk5XaRGY2TmDTGJBUhOTsbGxoYuXbrU+hiJREJQUBCjRo0CKoZhu3XrJtyvq6ROnDjBrFmzhNtLSkoYNWoUM2fOFMJhx40bx9atW/nwww+5du0aCQkJwlVlZYhEIo4dO8bSpUt57733iI+Pp0+fPnz99de0bduWw4cPs3//flxcXEhPT+f69etcv36du3fvsm3bNuzs7Lhz546Qp6W70p8xY4YQPrtw4UJee+21GsR35swZlEols2bNQiQSMWbMGFauXKl339jZ2dG5c2fOnTtH+/btOX78OL/++ivdunXD1taW8PBwfvnlF0xMTAgICOCll15iy5YtDBw4kAkTJvDdd98xbdo0tFot33//Pdu2bQPgiy++YP78+cIFwoIFC/jPf/5DYmLiQ1P1qdVqg+OP9Dnmm5ubo1AocHJyquLJmJCQQHh4ODKZjF69etGmTZsHur6ky32sax1P933Izs4mIyODHj16sGHDBkxNTQVByOeff86QIUMA+OGHH/Dw8GDKlCkAdO3aldGjR7Nz5078/Px48cUX2bp1K8OHDyc7O5uDBw/y3//+t87tnDRpEv/+97+ZMGECJ06cYPPmzc1KfFDxme/evZurV6/Svn17hg4dSmFhIYcPHyY/P59du3ZRUlLC8ePH8fLy4qWXXmLJkiXcvHlT6M706dNHOB+EhoayevXqZt3GFkdODiiblscKQG5u059DD1qE+KQiEc3xFTQSi3FxcalXBdbSSj9ra2syMzOFdYfaUD2pXNdajIiIoLi4WPDCrIypU6fSvn37KtE/L774IuPHj2fJkiVs2bKF559/vlaFp4uLC2vXrgUqKsd//vOfTJo0idOnTwuVcOXXPHHiBDY2NgQGBnL37l2SkpIoKSlh6dKlWFtbC2tBt2/fxt7eHnd3d1JTU2u8bmpqKs7OzlVOtvWRjUgkEhIhUlNTiYiI4Pvvv0cul5OZmYm5uTkikQh3d3ciIiIAGDNmDK+99hqpqancunULkUgktIQSExOZOXMmc+fOFV5Dq9WSkpLSosRXefykPjWvvtEUuVyOpaUlTk5OVY7jhoym+Pv706lTJ6Kjozl8+DAnTpwgODj4gRFgXd+RkpIS4uPjOXnyJJ999hl37txBpVKh1Wrp0qUL06dPFx7r6ekp/DsxMZGzZ89WSSNXqVRCVTdx4kR8fX0pLCzkxx9/pG/fvvWaK/Tp04eMjAyWLFnCiBEjWiTgOiMjA5VKVeV84OnpiampqUBmS5Ys4Y033uDu3bvCEP7+/fsF8ZoutR0Q1vvrO//cL1QfTal8vOfk5JCXl4dXWBh91Wqa7GnVQu+3RZ7VVipFJhZT1gRxC4CbQkHfNm2q7NisrKwaJxqdssyQuZ/GHDhBQUGYmJiwZ88exowZU+vjqp9wXnnlFbp06cL27duxsLBg9erV7Ny5U7h/6dKl3Lx5s4bSsVevXshkMsLCwvjuu+/47rvvDNpOV1dXXn31VcaPH693ewBhsLd9+/a0b9+e1NRU5HI5b775Jvfu3eP9998nISGBsLAw7t69y61bt1AoFBw6dIikpCQ0Gg0qlQpHR0dSUlLQarXC6yQlJRksFHBycmLkyJH4+vqyfv16fvrpJ2QyGd26deP27dtCmkGrVq0YMmQIP/74I9evX2f8+PHC67m6urJw4cJmSbDW55hfG5lVdsyvfLxZWVlVuVBracd8kUiEn58fHTp0IDo6mt9//53jx48THBxM27Zt7ysBVv6OPPvssyQnJwvqy4yMDNzc3NiwYQPBwcEsXboUhUJR4/uge086uLq6EhwczOFalH3Ozs4EBQXx008/sWXLFl555RWDtnXixIm8//77HDt2rMZ9crmc4uL/meqnp6cb9JyVoTO5T05OFoRdd+7cEe4PCwvj008/5ciRI/j5+SESiQTF9unTpzl9+jTFxcWcPHkSLy8vNI2M9WkIaktN0dedKC4uFtTgYrG4ytyuVCrFwsICmZMTIqkUDFhaqRM2Ns3zBquhRYhvWOvWTW51ysViXnZ1xaueOBd9s0S633fu3Klxu1QqNdhMVjdLZGlpyfvvv8+rr76KkZERQ4YMQSqV8vvvv3Ps2DGWL1+ud9sKCgoEf8sbN26wbt06IQn6t99+49NPP+Xs2bN6rzonTZrEjBkzMDIyok+fPnqfPycnh9WrVxMaGoqXlxfZ2dl888039OrVC6hIi87KyiIvLw/LP91wAgICWLFiBYsWLaK8vFxooUilUpydnZHJZJw4cYK33noLU1NTQkJCePbZZzEzMyMlJYWSkhKWLVsmeEzOmjWLV155hcjISM6dO8eAAQPq/KxKqw2xtm3blieeeILbt28zc+ZMfvnlF9avX8/cuXO5c+cOLi4uTJgwgWXLlpGUlMSRI0eEv50+fTpvv/02AQEB+Pn5kZeXx6FDhxg7diygfzSltt9qtVrvhZO1tTVubm4Gj6Y8CFQmwOvXr3P06FGBANu1a3dfoqaUSiVTp05l6tSp/Pzzz/Ts2ZO2bdsikUjIyspi/vz5rFmzBgcHBywsLGp8H/RhxIgRvPXWW2zZsoUXXngBgIsXL2Jubi60tydNmsTSpUtJTEysc32xMl5//XX69u1Lv379atwXEBAgHGuWlpZ89NFHDd4fEomE5557jvfee48NGzaQlJTEt99+i5ubG1BxXjAyMsLW1haVSsXSpUspKCigY8eODBo0iNjYWC5fvkxJSQn79u0jISEBgIiICNq3b2/wfKJOzWtIm71yaoqpqSlGRkaIxWLhQlfnpFNaWkqrVq1o3bo1VlZWwm/djzB/mZcHX33V4H1XBXI5TG14NJ0haBHiayWVMsbWlu1379ZqUVYfNMBEe/t6HycSiTAzMzPIUUF34tV3RZOcnFzj6l6X0m1ubo6LiwuhoaHMmzeP8ePHY25ujr+/P//+978Fy6vq+OSTT/jnP//J8uXL6dKlC+PGjePo0aNAxfpFRkaG8AWGiivR9evXAxV9/bfffpu333671vcjk8lISEhg0KBBQqtwwIABfPbZZwD4+Pgwfvx4vLy8BNFLaGgov//+Ox4eHsL6yYoVK6o874QJExgyZAipqak888wzrFy5EjMzM1QqFV999RXz5s0jIyOD1q1b8+677/Lll1/Srl07OnTowOXLlzlw4IBeE+8//vijBskrlUq2b9/O9OnT6dWrF1ZWVnz44YcEBgayZ88epFIpfn5+3Lp1Czc3N3x9fcnOzqawsBAfHx/Gjh1LSEgI6enpmJqa4uvrS1pamt7RlMqyfA8Pjypk9jiYDItEIjp06ICvry83btzg+PHjAgG2b9++Wd9fdYcTkUjEwIEDcXR05Mcff2T37t1YWFjQrVs3Fi5cCNT9fdAHCwsLDh06xJw5c5gzZw4ajYbOnTtXWUt+9tlneeWVV3j22WeRy+UGbXvr1q0ZOHCg3vsGDx7MuHHj8Pf3x8bGhnnz5rF3794G7JkKrF27lsmTJ+Pg4ED79u0ZP3680L4fOnQow4cPp127dsjlcmbPnl2lLSqRSLCwsGDo0KEAXL16leXLl5OcnEx4eDhSqRQnJydhvER3gVed4HRq3urfAV1b3draWjBP15lR6L5b1QlN938LCwvDhFKWljBuHGzdWrtFWX3QaKAOsVJT0GID7BcLCngiKoqSRpTpUpGISfb2bPDxaYEtMwy6vruhIxOV/QLrWo80Nzc3aPaopKQEOzs7Lly4QNu2be/DO66Ah4cHGzZsYNCgQQ36O61WS2UTb51NW3Z2tpDuUPlHoVAgEomqjKZUvxgpKCggIyODrKwsSktLBbVuZRVjbRW7bj8/6mTWFGi1Wm7evMmJEyfQarUEBwfj08iMM5VKRVJSkpBwkJOTg4eHhzC39iA9Lb29vfniiy8afMzeT8ybN4/09HQ2b95c4z5dGoQhbXbdnKWRkRFqtVoQRNna2uLs7IyrqysWFhZIpVLKysrIz88nJyeH7OxscnJyyMnJIT8/H3Nzc73Epmu5NgsuXYKgICgpafjfSqUwcSJ8803zbEs1tKhX5+xbt/gyLa1BIYRiwEkm42L37lg/InE/1R3i6/utb66wOjlu3ryZI0eOcOzYsft6Qmks8VVG5YuG/Px80tLSuHfvHllZWeTn5wvD/bpWilgsxszMDAsLC8HHtDqZAcTGxnLp0iWhkujYseMjEwn1IKHVaomJieHEiRNoNBr69euHr69vnceVVqvl/9k77/im6v2Nv5MmbdI90kFbOtlltmXJluUAJ14VFZUrXuGiLPU6Ea9cRcA9UVEERK5bEUFwsIe0UBTZlG66R9Km2fn9Uc/5JU3SpiOleH1er7zapsnJSXLOeb7fz/f5PE9paak4o8vPzyciIkJszhZMni82Pv/8c/71r39x+vTpDsv7cwe///47NTU1xMfHs3//fmbNmsVDDz1Eamqqw/VAr9c7TU1xFQEmrKvV1tZSVlbGuXPnyMvLo7y8HL1eL/4/ODgYlUplR2qhoaEEBQV1nEhm0SJYtQrq6tx/jlQKXbpAVpbH1vg8SnwWq5W7Tp7ki7Iy6twgP7lEQphczt5Bg0jygNqqM8CVk4ztCO+f//wnFouF6dOn06VLF7eSF9qrXOeK+JyViZtaMxDKxK4IXiqVotPpRPf8kpISysvLCQwMdJgdBgcHi+9LMMnOyMigoKCAfv36kZ6e3uRa0V9ogNVq5cyZM+zcuROTycTo0aPp06eP+Nna5tZlZ2cjl8tFoktMTHTL5LkjMXbsWI4fP866devEsqAn0dhMvilFb3Z2Np999hlqtZqgoCCuuOIK7rjjDvH4byyAckbaJpOJ6upqcaZmO2urrq7G29tbJDNh3U2hUKBWqykqKuLcuXNIpVK777DDTbYtFpg5Ez77zD3yk8shLKzBtcVNoVxr4PFYIqvVysr8fJ7JzcUKTm3MfP448cYGB7O2d28iOjDqprPDliSbk847S4F2VXIVLmLOHPOdbb+ursEx393tt2YmZjabqaiocCiXGgwGu6xDwb+0vr6ew4cPc+TIEcLCwkhLS6N3796dQvLdmWG1Wjl79iw///wzWq2WiIgIqqur0Wg0YlJ5cnJym02eLwWYTCanRObsHBBaU9w5B9xV89bX1zuQmvB3XV0dgYGBTtfbgoODmzWxF5LlhfK0kCwvlKe7du3aMeeK1Qovvgj//nfD785cvby9QSJpMLVeuxbc0He0BR0WRKszm1mRn88L+fnU2JCfFzA5NJSXu3Wj+1+RH22C0WhEo9FQUVEhnkhqtVqUIOt0OtELVPjaJRIJMpkMb29vlEolvr6++Pv7ExQURHBwMGFhYYSGhhIQEHDRCEWr1Yo2bULMU1lZGf7+/kRGRqJSqTCbzeTn51NVVcWAAQNIS0uzM8n+C/9v8izM6AoKCggODhbLY+PGjaNv376dqmTYGhiNRreWHOrq6jCZTE1WUWx/tqY1RcgEtCU0QURSVVWF1Wp1udYWFBTUrt+F2Wx22mYiDHTCw8M9uqxi1ek4t3oFshUvEF1Qg8wCVkDj60XetEn0ePJlFMkd4+vbIcT3dXk5D507R6Fej85ioXHR018qBYmEe6KieDYpCWUnWDvoTHBHliz8tJUlN7WGKIwWXalcnY103Sm5dlQ+oMViobKy0iHVoq6uDoVCIcquhVLo/2qOWk1NjXihO3/+PL6+vuKFLj4+Hh8fH6xWK+fOnWPnzp3odDpGjx5NSkpKpyLA9qp8NL6/PVpTjEaj01mbUJL09fV1qZL0ZJ9ncxCMBYTjw2w228U6tafJ9qZTm3hw+4MUqAvQmXRYrBZkZjBJAQn4e/tjtVqZOWgmyyYsw1fu2fPV48T3n5wc/pOX55a6UyGV0kOp5KeBAy8ZYUtr4cwxvykllzNZsquRaXuLDhonwjd14RFUZu5ceFytbbQFOp2OkpISioqKOHXqFBcuXMBgMODj40N0dDSxsbFiuTQ0NLRTXdzbA3q9npycHPFiVl9fb3cxE/o5ncFqtZKdnc3OnTvRarWMHj3aYzNAd9a6be+3bU3piLXuxvtaV1fnctYmDLJczdwuhdK71WqlqqpKPG5ycnIICgoSB0lxcXGtFpIt27OMZ3Y9g9aobfaxCpmC7qHd+fnOnwnzDWvV67kDjxLfqwUFPJqd3SJVp1wioY+vL/tTUy+5mZ8zWbKrnzqdTnTMb+5Ebq1j/sWAYLTclABgwYIF3HDDDcTFxbVYzdYaFBcXs2/fPk6dOkVAQABKpVLcn/DwcHH9MCoqioiIiEtqdmixWEQhQ3Z2NsXFxcTExIgXrKioqBaTgNVq5fz58+zcuZO6ujpGjRpFv379mv3826pubuqnJ1pTbIVcZrOZmpoap7O2qqoqvLy8RDL77rvvqKys5KWXXhKXAf5sbTMWi4XCwkLxuCopKSE2NlYcQLl7XL1x6A0e3v6wW6QnQC6V0zu8Nwf+fgCl3DMiR48R37n6evodOtSqPj6FRMK82FiWeVDV4y7cuZALI9WWypKTkpLa3DoA7dOC0J7bcfd1xo0b16qBgjsXS2cXaYPBwLFjx8jIyKC+vp4BAwYQHR2NWq22K5f6+Pg4KEvDwsI6zeDDdmR+/vx5AgMD7cqX7dXiIRDgjh07UKvV9O3bl8jISIeyu+3vUqm0XfpZExISKCkpwcvLS8yUfPvttx38cFsCvV5vR2w33HADd911F9HR0Wg0GgICAsRZ2ptvvskPP/yAt7c3Pj4+pKWl8dprr9GrUW+xs9iiP2Posk6nIycnR1wfFioJycnJJCUlERgY6PCc7Kps+r7Zl3pTy/v4FDIFc4fMZcXEFe2x+w7w2Bz81YICTK3kVJ3VyltFRfw7MRFvD5RZ2qN019gx31Oluz8zBIeKgICAZh/bVGm4tLS0RaXhcePGUV9fz5kzZzh48KAYEyMYCFdXV4skKDigqNVqVCqVAyG66xbSFuh0Oru1GKPRSFJSEj179uTKK6906/OzRVMORs7OAUH8lJGRgcViISYmhri4ONFk2/YcaM++yk2bNjFhwgR0Oh1z5szh/vvv56uvvnL6WLPZjFQqRaPRuFRJmkwmuzKkl5cXffr0YerUqQQFBdkNbIT+wKVLl6LVapk1axZ33XXXpRUN1I5QKBT06tVLJH4hIPjs2bNs27YNPz8/kQSFgODXfnkNs7V1ri06k45VGatYOm4pPrKm1autgUeIr95s5v3i4jb5dVqAL8rKuMVNWWtrZMmNR6HBwcHExsZeFLGGLaqqqrjjjjs4ePAgJpOJESNG8PbbbxMbG9sptzN27FhGjRrFTz/9xK+//srw4cPZsGEDqj+aT9etW8cTTzxBbW0tCxcubNFrC5BKpeJ31RyaEgOVl5fbHRd6vZ7Tp09z8uRJJBIJKpWK6OhogoODCQwMpEuXLowYMQJvb2/q6urEdotTp05RUlKCTCYT2yuEcqlKpWrT7FBQ3wmj69LSUlF9N3jwYCIiIhyOyaY8a539dOVZ29hku3FrSk5ODjt37uS3335j1KhRoh+nJ6FQKJg2bRrz58/HZDJRVVXFP/7xD6DB/Pm3335j1qxZ1NTU8OOPP1JZWYmfnx9Tpkxh4cKF4izuiy++4MknnxSPQ29vb2JiYppV//r6+jJ9+nRuvvlmwD6sVvD7FBIktm/fzn333YfRaMTf319Mkf+zIbtG3kUAACAASURBVDg4WExasVgsFBcXc+7cOfbv38/nn3+OKkrFqsJVGMzO7RzdgRUrn5/4nOn9prfjnjfAI8S3tbKyzbFEtWYzrxcWMvmPC05zDdOuZMmhoaHExcW1WZbckbBYLNx999188sknmM1mZs6cydy5c12OdjvDdjZs2MCWLVvo2rUrV155JStXrmTZsmUcP36c2bNn89133zF06FAeffRRMcHdU7AlychmBk6CK31tbS3nz5/n+PHj/Prrr4SGhhIYGCgKG4Sbt7e3eCwlJSUhl8uxWCxUVVVRWFiIWq1Go9EQFhbmMDv09/d3etxZrVYqKirEGV1ubi6hoaEkJiYyfPhwgoODxRladnY2v/76q8M5oNVqXaaUhIaGOtzfWsGF4PGam5vLzp072bVrF6NGjWLAgAHtQoACgZvNZjHKqLi4mFdeeYXAwECWLVtGUFAQ5eXlZGZm8uKLLzJq1Cj8/f05deoUDz30ECkpKRw7doyJEydy3XXXcd1113H8+HHmzJnTquOwtraWjz76yGke565du0hMTKS6ulr8TN9+++0/XamzKUilUqKjo4mOjmbUqFEYDAZW712NpKBt19haQy1vHHrj0iG+IoOhXYJoj5eU8OGuXQ4nsq1jfnvKkjsLwsLCuPHGG8W/H3/88SZTDzrDdu6++24xguVvf/ubaOz72WefMWXKFHFk/Mwzz4j5gZ0BgsDCz8+PyMhIhg0bRl1dHVlZWWRmZuLt7U16ejr9+vXD29vbZQ5ZXV0dZrMZpVKJ2WymvLycyspKzpw5I8a2SCQS/P0bgmV9fX3FkNqKigoAcXYVGBiIRqPhwIED+Pj4OCUzlUrlULHoyDXI+Ph4ZsyYQV5eHjt37mT37t2MHDmSgQMHNrsfFouFmpoap44kVVVVQIPU/v7770cmk6HT6QgLC+OLL75g+PDhSKVSMjMzxXBnAUL6ATTkFd56663s3LmT6667rlXH4cqVK3n99ddRKBQMGTKENWvWtPLT+t+Ct7c3+INVasWhd62FKFI7ZoG2BzxCfDqLBXM7EJ9FJsPX1xe5XC4qxoSfGo3GZdq6s/tamrp+MaHValmwYAFbt24VLwQajcYuJb2zbadxcGZtbS3QEFhrK0gQBi6dGX5+fowYMYLLLruM7OxsMjMzxey09PR0oqKi7CzSLBaLQzldo9GgVquprq62m5VVV1c7LX1JJBJqa2tRKpUEBgYSFRUluuE3Jj53TM47CnFxcdxxxx3k5+fbEWBKSgpqtdqpSrKmpkaciQpWW3369BHX35RKJW+//TYbN24UFZdff/01U6dO5fjx4+Kx1ljocvDgQR555BGOHTuGwWBAr9eLEVWtOQ4ffPBBli5d2s6f2P8G6o31mC1ty2MF0Jv17bA3jvBMLJFMhlwiafOsL+KPOr3BYLC7GY1G8fe6ujrxb9v7Gz/WYrG4JEXbv5v6n7P7ZDJZuxPqCy+8wKlTpzh48CBRUVFkZWUxaNAgWirA7Qzb6dKlCydOnBD/1mq14gynM0NQ8/r6+jJo0CC6du3K2bNn+eCDD8QkDkB0xFEqlQ6zMi8vL3x8fETBTXh4ON26daNbt27Exsbi5eWFyWSirKyMwsJCCgsLRVeakpISfH19xbBPi8WCXq9Hq9WKM0d31K2eSqgQTJJtZ21+fn6o1Wq2bt3K5s2b8ff3JyoqirCwMFQqFT169CAkJITg4OAWlVqFfLt//OMf7NmzRwyDbvy+pk+fzty5c9myZQsKhYL58+dTXl4OeO44dPbZXioD7LZCr9e7bNzfU72nwZaljQj0cVSLtgc8QnxDAgLa/J5lwPiwMKKjo9tjlzCbzQ7E2NTfNTU1dve5IlWz2SwSYVMk6ex/RqORvLw8zpw5Iz7G19eX6upqlEolwcHBVFZW8vTTTzf7/oxGo13Iq0wmQ6PRXLTtCJg2bRpDhw5lz549DBkyhMWLF3dIorQz2LamNOf+Iah5bUkkMjKSxMREamsbQo4rKipISUlhyJAhREZGimtw586d49ixY8hkMpKTkxk5ciSJiYlO415kMhldunShS5cupKeni/fX1tpHPJWUlKDVagkKCiI8PJygoCCxWVsQ8xQXFzu8F6vV6lavqLNeObPZbNeo3fgml8vtGrUTExNJTU0lNDSU6upqdu/eTUlJCd27dyc1NbXV64pWq5VvvvmGqqoqu/zKxtBoNKJR8y+//MKGDRuYNGkS4LnjMDw8HKlUSnZ2tljqj4yMpKCgAIPB0Klm5y2F1WoVVbLOGveNRqNd035ERAQ9e/YkNDSUMYYxbH1/K7QhgF0mkTEmfkz7vSHbbXtio/38/emhVHK0rgVRFI0gl0qZ34aencbw8vLCy8ur3R3mLRZLs4Rqe59Go7H7+++NEoYvv/xyBg8ezIkTJwgKCiIwMJDLL78cgPfffx+lUulAqjqdTpTiC5g9ezZ33303e/bsQaVSERUVxfz585sVtjTezuOPP878+fOZPn26qHhctGiR2wKZlJQU3njjDaZPn05dXR0LFy5ssaq0KTTnmG/702AwiK0ptkQQFBTkIM13pzWlrKyMnTt3snr1avG+5ORkkpOTGTNmTJu8QoV9TLbpZW1s4p2bm0tJSQkGg0FUlnbr1k0U03h7e4tZh40/j9LSUs6fP49Go0Gj0YgkKZCTxWLBbDaL9ndBQUEiuQ0fPpzIyMgmz6WAgACmT59OYWEhO3fuZO/evYwYMaJFBDh16lRxiSI+Pp4PP/yQlJQUl49/8803WbRoEXPnzmXMmDH87W9/E8vKnjoOfX19efzxxxkxYgRGo5GtW7dy+eWXk5KSQlRUFFKpVJx1dkbYJkA4G+D4+PjYkZvQ+hMSEuJSrAUQRhi9VL04Unyk1fsm95Izf9j8Vj+/KXisgf3jkhLuPX3aaRqDOxgSEMDBtLR23qtLB1artUkCdXWfq99t7xP6stq79NtePYxGo9Ft0wCj0ei2+0db1bxWq1WUbWdnZ1NYWEhUVBQJCQnIZDLR+HfgwIGkpaV1WLqBVqt18CwtKysjICCAyMhIgoKCRCLX6/V2FzqLxSKurQmiG6GEb7FYXLZImM1mtz93hULBhQsX2LlzJxcuXBAJ8K8sRc9D6Nm0JTXb3+vq2pYA0RT+e+y/3LPpHmoNta16fnp0OodmHWr16zcFjxGfwWKhzy+/kKPT0VLqU0qlbOnfnzF/9Mb8hfaDQKjukGpTJOrsb6lU6pIUbddCrVYrZrMZs9mMyWQSt6XT6dDpdJjNZruZmTNzYeE+T6t51Wq1SHTZ2dkolUrRsSIhIcHhwiDI7I8ePUpMTAxpaWn06NHDo8YGgkmy7YWtsrJSDP6VyWRIpVLMZjMWi4WgoCAiIiLExO7mZm+uXtNdn02TySR+nzKZjJqaGtH5o1evXgQFBbXb4OR/EbYJEM4a94EOS4CwhcFsoO+bfTlffR6TpWU1T6VMyebpmxmX2HIVujvwqFdngU5HamYmVSaT2y4uSqmUV7t14552Wtv7C56DUEYTVIwajYaamhqxdFZXVyeKP8xmMwqFQiRBofRse9IJ5TWz2WxHqlKptEXrp+6ofAWlr7P3ZGvyXFdXJ/oTJicnN2nybAuj0cjx48fJzMykurpabPZ1Zu3UHIReQ1cXtvr6elEd6WzUbjuzqq+vF9cMbdcQhTVM29zD9jLxti1HC8fLhQsXOHfunGgVJpVKnZpLuDI4v1jmEhcLBoPB4Xu3Vcl21gSIQnUhqe+kUllf6Tb5+cp9eWnyS9ybdq/H9svj6QyFej3jsrIoNhjQNFH2VEgkSCQSPujZk5s9HEL4F5xDcMx3p8RoK5xwp+TVWsd8YXboTpm3pbNUwK5EK8w+FQoFAQEBBAcHExQU1GJSbdw6U1JSQkZGBseOHSMhIYG0tDSSk5MdhCRN9bZ5eXnZXdRsL2yBgYFturAJDfjOIp7Cw8MdGvGdiXRai+LiYnbt2kV+fj7Dhw9n4MCBLkvdjY+/xgKkpgQ8bTE57wjYJkA4G9zo9fpLNgGiSFPEuA/HcUFzAY3BSQjtH1DIFEiQsPqa1dza71aP7lOH5PGZLBa+qajg+bw8ftNokJnNmGgIoZVIJHjL5TzQtSv3dulCVBtqyn/BEY0d85tTMzqTyrsyGvaUVN7TqKqqEn0Gz58/L1p1denShbCwMKeCJXcUvsLvrlpnBC9JoQdSqVTi5eUllnkFwrU1Sw4NDSUiIkIMAu7Iz1uv11NaWkpxcbGdulShUDg18W4LsZSUlLBr1y5yc3MZPnw4gwcPblYRKah03Sm5Ci0nzR3bwn2eIElBJetKJSmTyRxmbcIxcKknQJgsJjad2sTze5/nSPFRJFIZZosJqUSKVCJF6eXNvKEP8I/0fxDlH9X8BtuIjklg12ga4uRXrOCUQsGRuDiqFQqUJhMxajVjs7KQTZ8OCxZAE3Llv9AAYcHa3TUWoe/MHVn7pSy/dgXB5FloNTAYDKKhblJSUotNnl1BkH9XVFRQXl5OeXm5eKFTq9WirZ4gNBG+n8DAQFQqFT4+PphMJpeE2pbWmeYETO5eVK1Wq52Jt3BTq9Xi7NDWt7SlEU+2BDhs2DCGDBnSLsekYDLQXDWjrq5ONDl3RZKNU1ZsS+Y6nc6lQrJxAkTjWVt7K847E2pNJtaWlLAiL4/Smmz06lOYTbVIpd54KyMhaAC3RUWzsGtX+nSA8bvnie/kSRg7toH8tE1kMslkIJfDc8/BvHke3aXOCMGj0B1pvuCY766q7n9NPWc2m+2yxEpLS+natau4TufM5NldCPJvV71tPj4+Lkftfn5+Dq9bX1/Pr7/+SkZGBgBpaWkMGDDAaTmx8Uy0vUq/JpPJTunbmvVUwXlGKNeWl5dTVlaGXC53mB26Y+JdWlrKrl27yMnJYdiwYQwePLhNCsOWwFkSiO3P6upqNBoNWq1WXIOWSCRYLBasVqtImoGBgYSEhKBSqejSpQtRUVF/yoFlczit1TI2Kwu1yURdE72TMhra2P6TmMiCdmxlcwbPEt+pUzB0KKjV4O7L+PrCY4/B4497bLc6CraO+c2VGBsbIDdVYmzsmP+/DqvVSmVlpV16dEhIiF16tLtrIMJ35mqtra6uTuxpczZqb+2FzWq1kpeXR0ZGBmfOnKF3796kpaURExPj8RKXs9aZlvSmNvU/Ly8vsURrq+b19vYW3W6E9VShfG5Lqlqtlt9++42ioiJSU1MZPHiwKIbxFIxGo8veturqahQKhfh9BwcHi5USmUzWZH6nrZF4c5WXthiJdyac1moZkpmJ2mx229TEVyrlkbg4nkxI8Nh+eY74tFpIToaSEvdJT4BSCZ98AlOmeGTX2gJnvU21tbW89dZb5OXlMWvWrP/pA709IZFIOHPmDN26dXP4n1artcuos1gsduVLvybKJYL829mszVb+7UwlFxgY6HGRhK1JthCC2q9fvw6b8bQXBHPuxqRYX18vloIFVaJGo0EikaBQKFAoFKLyVyKRYDQaxWqIydSgDJRKpfj4+LjVf+pslioMcISZnaBIrq6uFh1yXKlknQ1u7rrrLmJjY1m6dCm7d+/mnnvu4dSpUw6fhycGwkKbSGdDvdlM8sGDFBsMLXby8pVK+bhPH675I9qsveE54lu9uqFk2Vr3lr594bff2nefXKC50kZtbS2zZs0SvSmFJnChxHH//fdTXl4uxqfYHqCtdczPyMhgyZIl7N27F6vVSnR0NNdffz0PPvigRxqjbTPGmsLGjRt56aWXOHbsGH5+fiQmJnLnnXcye/bsZmcmztKqm4It8ZlMJvLz88V+uvLycuLj40WyU6lUdq/fnPzbz8/P5ayts/SSWa1WsrOzycjIICcnx84k+1KCbZq6v78/V1xxBa+//jr+/v+frSisjzZeO6yqqiIkJMROUXr27Flyc3NJTU2lX79+SCQSh5mnXq9HrVajVqvt1u4KCwvZunUr2dnZmM1m/P396d69uxht5Kx1xh1Dh6effpro6Gj+9a9/OX1MS03y27r04aoFpCOXPj64cIEHzpyhtpXWcH18ffl9yJB23qsGeGaYYLXC88+3nvQAsrMhKwsGDmzV091dzK6trRUVdc4WsyMiIvD39xfVf76+viQnJ/Pee+8xYcIE8fWWLFmCwWCge/furX/Pf2Dfvn1MmjSJxx9/nNWrVxMZGUleXh6rV6/m6NGjjB071uE5wjqNJ/HCCy+wfPly3njjDSZPnoy/vz9ZWVmsXLmSv//97+06IxEGGUeOHOHgwYPk5eURHh5OUlISkyZNIiYmRhQSFBUV8fvvvzuVfwuEplKp6N69uzhq74wj5MaQSCSiBZparebIkSN8/PHHBAYGkpaWRkpKyiVT8hbS1IuLi5k8eTLPPfcc//nPf8T/SyQSAgMDCQwMtDuHTCYT5eXllJSUUFxczPnz5ykuLsZisZCVlcWBAwdEIY3VahVn8mq12i4BIj4+Ho1Gw5IlS5gxYwZbtmwhNjaW0tJSNmzYQFRUFDfffLNTT9+mSr+CFV5NTQ0SiYQdO3Y4fT7QJpckYaDmrHUGcCl2KywsvGhit+fz8lpNegA5Oh2HNRpS20l8ZgvPzPgOHYJx49pGfF5ecNtt8OGH4l2ekC8LZNaS8lVCQoJT4jt+/DgKhYIvv/ySuLg4PvzwQ9F4uKioiPvvv59du3bh7+/PggULeOCBB5xuf+TIkQwaNIjXXnvN5T6sWbOGd999lyFDhvDhhx8yZ84cli5dyvvvv8+KFSsoLi5myJAhvPPOO8THxwMwb948vvjiC2pqaujevTsvv/wyo0aNYuvWrVxzzTVYrVZ8fHxITk7m6NGjdq9XU1NDdHQ0a9eutcvma4zNmzfzxBNPcO7cOYKCgvj73//OkiVLgIYIm/z8fLEMuX37dsLDw/n73/9OVlYWMpmM9PR0Zs+eTXZ2NosWLeKuu+7i+++/R6vVMmHCBG644QbKy8t55JFHuO+++8Q4G4DbbruNffv20a1bt0te/u0KFouFM2fOkJGRQWFhIf379yc9PV1Mu++MaHy+PPzww/z+++9s3ryZQ4cOMWXKFAoLC8XByOeff84zzzzDkSNH2LFjB4sWLRKN3IcMGcJ1112HWq1Gp9OxePFirrnmGvbs2YNWqyU1NZXZs2eL7SmCZZtEIuH222+npqaGTZs2Nbm/7777Ls8//zyVlZWMHDmSt99+m+joaKxWKwsXLuSjjz5Cr9cTHx/Phg0b6Nu3r12pc8eOHdx+++1i0G1CQgJz5sxh3bp15OXlMW7cOF588UWkUilGo5G3336btWvXAjBz5kyWL1/O6tWrUalUza61Cq0z7gqS5HK5nYuP0Luq1+vR6/XodDq7EnBr25syNRrGHDnSpJilOXgBt0ZGss4DSn/PDHuPHm35ul5jmM2of/iBLz/8sNmG1cDAQKKjoy96w+o333zDF198wQcffMATTzzB3LlzOXDgABaLhalTp3Lttdfy8ccfU1BQwIQJE+jZsyeTJ0+220ZdXR379+93Kwfs4MGD3HLLLZSWlmI0Gvnqq6949tln2bRpE927d2fZsmXceuut7Nu3D4DBgwezePFigoKCeOWVV7jpppvIycnhiiuu4LHHHmuy1Ll//370ej3XXnttk/vk5+fH2rVr7VKwBw4cyHXXXeeQVm00GrnuuuuIiYnh2muvFUfrtsnYe/bs4cknn8THx4ennnqK/v37M2vWLH7//Xfkcjn33HMPAK+88goTJ04kNTW12c/tUoZUKqVnz5707NmTqqoqDh8+zJo1awgPDyctLY3evXt3aCBtS1FQUMCWLVtE4/VBgwYRHBzMmjVr6N+/P5WVlSxbtoykpCSee+45SkpKuOKKK3j00UcxmUw8/vjjFBYW8tBDD+Hv78/ixYsxm81kZGTwww8/sGDBAo4dO0ZoaCiHDh2ipKQEo9FIZGQkmzdvZt68eRQUFBAREeF0NvPTTz/x6KOPsm3bNlJSUnjwwQe55ZZb2LVrF9u2bWPXrl2cPn2aoKAgTp48SbCbtoqfffYZ33//PQqFghEjRrBt2zbuu+8+tm7dykcffcSOHTtITEwUg3VHjx7tdG27MSwWi9sKX6Ff1B3xktlsFpW+woRDWJsVXlcgTmEdFxDXaA9HRmJSqaAN12Az8Ita3ernNwXPEF91NRiNbd6M0mQSa++XgkXRyJEjxXSDO+64g5dffhmAQ4cOUVZWxuLFiwFISkpi1qxZbNy40YH4qqqqsFgsdus4Dz/8MO+88w5Go5FHH32UJ554AoDo6Gjuv/9+oCHeZtWqVTz66KNidMtjjz3Gs88+S25uLvHx8dx+++3iNhctWsTSpUs5deoUAwYMaPa9lZeXo1Kp7EqEl112GcePH0ev1/P9998zevRouzJs//79ueWWW9i2bRsDBw7k2LFjAKxatQqNRoNer6ewsJCKigrS09O57LLL7NbbFi1axGuvvcYVV1wBNJRzPv/8cxYvXszMmTOZNm0azz33HFKplHXr1vHwww+78S39eRASEsL48eMZO3YsJ0+eJCMjg61bt3a4SXZzsFqt4oBJq9XSv39/evbsycsvv0xtbS09e/bk/fff57HHHsPLy4tjx47x3nvv0atXL4fyeUlJCTt37rTrvXzkkUdITExk1qxZbN68maKiIo4dO0Z6ejo33HADVquV0tJSNBoNVquV7777jrKyMrKysvjuu++wWCxMmTKFd955h/Xr1zNz5kxxAPXcc88REhJCTk4OcrkcjUbDyZMnGTJkSJMRSY3xwAMPiBFrU6dOJSsrC4BPPvmEu+++W0ydeOqpp5pdZ7eFVCoVyaY9Yds603jtVJgV1tfXo9PpxNmi8LdOp6NSr29LIpGIpty+2gLPEJ+fX0Opsq3kp1CIa2yXAhqnkOt0OkwmE7m5uRQVFdmNDs1mM6NGjXLYRkhICFKplAsXLtCrVy8Ali9fzvLly7n99ttFVRs4JlDn5uYyb948Fi1aJN5ntVopLCwkPj6eF154gffee4+ioiIkEglqtdrtyJSwsDDKy8vt1hKFmWRsbCyVlZWcOnWKPXv28Oqrr3L+/HmMRiMmk4m+ffvy6aefUlxcLH42AwYMoHfv3tx7770sXryYlStXimQ3c+ZMp+8xPj6eoqIiAIYOHYqfnx87d+6kS5cunD17lmuuucat9/Jng5eXFykpKaSkpIgm2e+++y4xMTGkp6fTvXt3j1Y/LBYLGo3GqdWW0Lx/zz33MGLECPLz83n++efp2bOn6F1aXFxM7969GTt2LOvXr2f06NHiYOz06dMsXLiQjIwMtFotJpOJtEapLbbnXXBwMLGxscyaNYs9e/bw+uuvk5aWxvDhwwkLCyMhIYG7774bi8UiRjw999xz5Ofns2bNGvbu3Ut6ejrffvutnStNYWEhl19+OXPnzuWf//wneXl5XH/99axcudIt/9XG1wbhOC4qKrLLYWx8TrcWrhS1LWlbcfU/qVQqeu1K/rCatFqtYruKyWTColAgtVpbHFDQGAoPHbeeIb6uXRua0W0CTVuDcj8/1r7xBl5eXqIjRFRUlNgEeykIFKDhYE5MTOTMmTPNPtbPz4+hQ4fyxRdfMG5c087kjWe/Xbt25fHHH+e2225zeOzu3bt5/vnn+fHHH0lJSUEqlRISEiKKSJqaSVutVvr374+3tzevvvoqaWlpdk3cGo2Gn3/+mbq6Op544gmuuuoqFi5cSE1NDZ988glSqZTx48cjk8l48cUXueOOO+y+u3fffRdoKGtOmDDBrsyTn58vjobz8vLsgonvvPNO1q9fT1RUFNOmTftTO1+4C5VKxeTJk7n88ss5fvw4e/bs4bvvviM1NZVBgwa1yiQb7BMgnPW2+fr62qlke/bsKf7+1ltvMXXqVHGNr7Kyktdee03MdIyJiWH48OF8+eWXrFu3jtmzZ4uvO3v2bAYNGsTHH39MQEAAL7/8Mp999lmz+xsSEsLUqVMZNWoUu3fv5vXXXyclJYVPP/2Uu+++G6lUSnh4OOHh4SQmJiKXy1mwYAFZWVkoFArCw8O5cOECBw8epKysjO+//578/Hz69evHunXrkEql3HfffaxYsYJnnnmmVZ8pNCTD5+bmiiIZoQUiNzfXrT5JV/8zGo14eXk16eBjqzYVSpfQcC0QFOsCmen1elEFGxAQ0Kxy9Ke6OnadOIGxjTO2eA+d055hjkmT2lTbBSAggC7PPcfD11xjJ3M+e/Yse/fuFWXOUVFRdo7ynVHUMGTIEAIDA3n++ed54IEH8Pb25sSJE9TX1zN48GCHxy9fvpzJkycTExPDzJkziYiIoKCggPPnzzdZ97/vvvt48sknGThwICkpKdTU1LBt2zZuuukmNBoNMpmM8PBwTCYTy5YtQ21TPw8PD2fLli2cOXPGzixZuNBJpVKuvPJK/v3vfzNv3jwmTpxI3759KSwsBBrKt0ajEY1Gg1QqJSkpCbVazenTp5k0aRKpqalotVqHtOpPP/2U4cOHExsbS0hICBKJxG6NasWKFQwdOpTa2lpeeeUVFi5cKP7vjjvuoH///gQEBLBu3bo2f09/JsjlcgYMGMCAAQMoLi4mMzOTt956i4SEBNLT00lKSrI7T4QECFe9jY0TIEJDQ0lOTnaaANEc5s+fT0JCAllZWQz8Q7U9Y8YMli1bRm5uLtdff734WI1GQ2BgIP7+/pw8eZK33nqL8PBwt18rODiYqVOnMnr0aIKCgpg/fz433ngjy5Yto3v37pSXl3PixAmxdDpjxgxuueUWZs+ezeTJk3n44YcZPnw4999/P9u2bePo0aMEBgZSUlJCUVERmZmZrF27ltzcXPR6PTt27ODIkSPo9Xq+/fZbDAYDdXV1bN++ndzcXAwGAwcOHKC0tJRnn30Wk8nEm2++icViITIyUiT1I0eOUF5e7lLd2ZTLjuDPq9VqXSraI1eEigAAIABJREFUS0tLqaurw2KxOAhXwsLCnJJaS4zmJ/n4IG3jdTjAy4sHYmLatA1X8AzxeXvD7Nnw0kug17d+G1df3aTMuaysTCTE/fv3U1JSgtVqdbBICg8Pv6iyby8vLzZt2sSiRYtITExEr9fTs2dPlwKWkSNH8tNPP/H000+zbNkyoKGceO2114pres5w/fXXU1tbyy233EJubi5BQUFMnDiRm266icmTJzNp0iS6d++OQqHgb3/7GyqViu3bt3P8+HGKi4spLS1l4MCBREVFsWbNGvr06WMXbQLw0Ucf8eKLL/L888/j7e1NcHAwV199tZit9t577/Gvf/2LjRs3OqRgO0urPnToEPPnz6empobIyEheeeUVEhMTxfd07bXXkpaWRk1NDXfddZddYn1sbCypqamcPXvWadn4LzQgKiqKq6++mnHjxpGRkcHmzZvR6/WoVCq8vb3RaDROEyDi4uIYOHAgISEh7eqWEh4ezowZM3jmmWf4/PPPgYZjd/bs2Vx//fV25gMrV67k3nvvZfny5QwaNIibb76Zn376yeW2hRKfWq12mBGNHDmS999/nxdffJGBAwdiNptRqVQMHDiQSZMmsXHjRgwGA5MnT2bixIlotVri4uKYOnUqb731Frm5uWzZsoWKigrkcjkpKSlceeWVaLVatFotZWVl7N69m/z8fNHaLjQ0FJlMRu/evRk/fjze3t7k5OSQm5vLgw8+iFwuZ9myZbzyyitIpVKefPJJDh48yM033yyWPV2lplRWVjpVtAupKY1VmMKykS2pecpoXi6V8s/oaFbm56NvpdBRLpEwNSysnfesAZ5rYC8ogB49oL6+5c9tpW2ZEO0h9PwIbvIVFRUEBwc7lEvbGufS2WC1WqmtrXUZbWIwGOwcKGybtpvqbdPpdHYZdXq9XnRISUpKanX5rD0wc+ZMoqOj3VLB/i9Ar9c7pG0LZWmNRoO/v784Y9BoNJSXlxMXF8fQoUPp1q1bh50PtpmLAjkNHz6cp59+mvT0dJfrS61Nxmh8n8Vi4cKFC5SWlhIXF0evXr0ICAhwWRZ0NxnDarXaRTwJ6RYajcYu4ikiIoKQkBAHi7Pff/+de+65h7Vr19o5RDlrK3D101Nk1lIU6vV0P3iQ+la0NCj/sC1b7CHbMs96dW7cCDNntoz8FAoYNgy2b28wrm4HmM1msQnW9ibInG1vrmTOnQXCSNLZekt1dTXe3t4uc9v8/f3dOiEsFgsFBQWiS0pJSQmxsbGi92VkZGSnOLFycnIYOHAgR44csZsl/pkhOJy4SgAwGo0uv//g4GCHVof6+nqOHj1KZmYmAOnp6QwYMACFQtEhWYgCuRw7dowvv/ySF154QbQia2nKhNDQ3ZJjU61Ws3fvXn799VcGDhzIiBEjWi2ma5yaYjtDExLS1Wo19fX14mcguBOlpaXh4+PDmjVrUCgUrFq1yoHMLkV8UlrK3SdPom0B+SkkEoYEBvLjgAHIPCRu8Xw6w/vvw9y57pGfr2+DqfWmTQ3KUA9DmB3ajszKy8sJDAx0IMTg4OAOu9gLJsnOZm11dXWi67szP8nWuKcIJs9CbI+tyXNSUhJxcXGdziHkySef5KWXXuLRRx/l8T+BobktXCVACLO3xgkQwcHB4jqYXC53O8GhsUxduEgLyj2LxSJ6YroiHHfT7l05jgCMHTuW48ePs27dOof2no6CRqNh7969HD16lAEDBjBixAgCAgJcWoc5KzEK1mHuZP4J/po1NTVMnTqVI0eOAJCcnMyVV15JQkKCg37hUlG3N8YHFy7wzzNn3Jr5+UqlDA4I4Nt+/fD3oHixY/L49u5tKF3+8gtWiwXJH6MdEQEBDaS3aFFDJt9FVGvaypxty6U6nc4haywiIqJVRCOYJLsKpLRYLE4NckNCQggKCmqXtZb6+npxRnfu3Dk7k+fExMRL9iTrzLBNQVCr1VRUVIjfuWDULBg1KBQKkXBsDZudydQFBV9r7bAa32cymTh58iRHjx5FoVCQnp5Ov379LtlZR2MIQh5XkUMFBQWo1WpkMhkmkwkfHx+3I8DaQ2luNBrF647toFxQtzeOeLoU1O37amp4LDubgxoNFqsVQyPaCfDyQimV8mDXriyIjfXYTE9AxxAfUGk08vnBg1hef51BR48SUltLvY8PuZGRnJgxg4m33MKgoKCO2JVWob6+3qFUWlZWhp+fn8PBGBoaislkclmOspV/OyM4T5gkm81m8vPzxXU6weRZKF82Nnn+X4YgJmhJNI+z/wvNvIK83NJoxCuTyUSyUSgUdhZ7zmZZTRGWJ/r0rFYr586dIzMzk5ycHPr27Ut6ejqRkZHt/lpthW1qSnPJB1qt1oHMGqsYpVIpJ06c4Pjx4/Tr14+RI0de1LXspky8Q0NDHfQL7i5rdCSq6qtYcXg9rxbkU6dMQiL3B7MBib6U0fIqVqT/jfTotOY31A7wOPGZrVYWnj3LOxcuIAWntV4vwEcqpbtSyZd9+5LoJISzs0E4EPPy8sjPz6e4uJjq6mrq6uow/9G74uPjQ2BgIGFhYURHRxMZGSmWpjxdOrRarZSXl4tEl5ubi0qlEomua9eundrayh00DmZtr7Uoo9HY7AxJ6IESGnZtHS3q6urQarUolUoxuy80NJTw8HA7lWxnuzA1BbVazeHDhzl8+DBBQUGkp6fTp08fjx7HzlJTXJFZfX09Pj4+bkeAuXvs19bWsm/fPo4cOULfvn0ZOXIkQZ1ogN5Y3S7cOpO63Wwx89D2h3gr4y2kSNGaHAPJpRIpCpmC5JBkvrrlK5JCkjy6Tx4lPqPFwtTffmN3TY1bi5tSINDLi52DBtG/E5TazGYzNTU1LtO2Bfl3Y5Wkn58fWq1WLFGUlpZSWlqKUql0GJmFhoa222i9rq7OrnwplUrtype+vr7t8jothTPH+/YIOjWbzU2W85pai2rusUJZUZCNO+tta5wA0Ti37VIoQbUUFouF06dPk5mZSWFhIQMGDCAtLc1tk2yz2dxsBJjw01VqirOfvr6+Hh3I1dXVsW/fPg4fPtwpCdAWgrq7cam0srJSVLfb3jypbjeajVyz8Rp25e5Ca3QkvMaQSqQEeAew866dDIhq3kqxtfAY8VmtVm4/cYIvy8tbLGcNlck4mp5ObAc4cQjRNs7KkhqNhoCAAJcquZY4hTSWOQu32tpaVCqVw8HoDkkZjUby8vJEsquqqiIhIUEku9DQUKcH9H333UdMTAxPPvmk3f22EvP2VPK5KzFvqYrPXYl5UzCbzS7TtquqqpDL5S6//85oltCRqKqqIjMzk6ysLEJDQ+nRowcqlcpBDGI7W9Pr9SiVSnbs2EFVVRUPPvigSxeQxkbzKSkpvPHGG05juZrCRx99xIcffsi2bdva/J4FE/nDhw/Tp08fRo4c6bZRdWPsaJTi4Gm4UrebTCYH/UJ4eHib13StVit3fnUnn5/43C3Ss0WoIpSs+7LoGtQ+Fm6N4THi21dTw8SjR1skYxXgBdwUHs7Hf1hVtQVNyb8rKysxmUxN9rZ5uhyo1+sdFrJLSkrw9vZ2unZYVlbG2bNnOXfuHEVFRbzwwgvU1taKAoikpCSuuuoqpkyZYieCcDV7sv0baJZwWqPia6nEvL0hDG6E799WTFRbW0tAQIDT77+lg5s/E0wmkwNpuVo30+l0CI4hZrOZsLAwYmNjyczM5NNPPyUnJwd/f38GDBjAE088wejRo90OPm4pWhp23FpotVr279/PhAkT8PHxQSaToVAomDhxIm+99ZZbZNjRxOcKtup24dYe6vYDBQeYsHYCdcaWx9N5Sby4sfeN/Pem/7b4ue7AY0fGyvz8VjUuQkMcxVcVFVQZjYS4UZMWhCSuetsUCoXdxaxbt252ZUlPXJQbq+/cKe1JJBK7Uml1dTUXLlxAp9OJ64YCBB8+gDlz5jBw4ECMRiNnzpxh9erVHDp0iEceeQQfHx8CAgJEIvLy8kKpVDYrMb+UIASQupq5m0wmO0Lr0qULKSkpokr2Un3fLYXJZHJaUnRGZgaDwelMTDCBbhwBJpxDZWVlZGZm8vrrr7N7926WLl3KXXfdhUKhYOvWrWzatInRo0e3eL87W9nY19eX8ePHA/DOO+9QXFxMXFwc7777LkuWLBGTWS4F+Pn5ia1LAsxms6huLykp4fDhwxQXF2MwGOxaLISZojN1+8p9K6k3tcLABDBbzXxz+hsqtBWE+ba/e4tHjqZSg4HvKipoy1RSCrxfXMyirl3FXhpXszatViuKCITZW2Jiovh3U1N2QcHX3k26riTmrmZPSqWSwMBAvLy8qKmpwWKxUF1djclkIiEhQbxZrVa7xWwhaV4qlRIXF8fgwYMZO3YsV199NS+99BIrV65EqVSSm5vLzp07+frrr1m/fr0Ymtm7d29WrFjBlClTgIaLTFRUFNu2bSM1NZUDBw6wcOFCjh8/Tnx8PK+88kqLS03tAaPR2GRvm1KptCtD9ujRQ/y7s8dZtQVGo9HlOlljYjOZTA6iDyGlPC4uzu7+1opvwsPDGT58ONOmTeOpp57C19eX9957j9TUVMaOHcvUqVPFxxoMBmbMmOE0uDkhIYHZs2fz0UcfcerUKerq6ujWrZsYaPvLL78wZ84cTp8+jVKp5LbbbuPFF18USVWYcW3fvp1Tp07x3nvvsWfPHsB1IDM0HyjtDJdddhkxMTHs37+fwMBAsYwbEhLCBx98wPLlyykoKCA8PJx//etfYuZeY7QkrNrT8PLyIiIigoiICPr16yfeL2gXBK/SI0eOUFZWhr+/v51+QRYo49vT32Kxtj6IVoKE94+8z0MjHmqPt2QHjxDf9qoq5BJJqz3aoEH9+frJk/h/9x1VVVVAw8EcFBSEv7+/OA1XKBTI5XK72ZVOpyMvL4+zZ8+6JaoQAhfd6YHy9fUlKCio3STmFouF4uJizp07x8mTJykqKqJLly4kJSUxatQounTp4rAd2+iSJUuWcPXVV9O7d2/RxLu4uJjAwED+85//UFxczKFDh1i9ejUff/wx3t7eduWlW2+9lY8//lgkvu+//x6VSkVqaiqFhYVcffXVrFu3jiuuuIIff/yRG2+8kZMnT7bIKNgdCL1VrmZtWq2W4OBgu5l7UlKS+Htna7BvCwwGg1uzstraWtEx35nRcFxcnN1sTaFQdMgAYP/+/eh0OhYsWIBMJqO4uJiMjAzefPNNEhMTSUtLw2q1ugxuFvDxxx+zefNmp71q8+bNY968edxxxx3U1taKWY+Nw44BMfFAgKtAZqGs3dx+OYNSqWTQoEFoNBr69+/Pu+++S8+ePVEqlXz77bckJSWxa9currzySgYPHuwQmNySsOqLCV9fX3EQLsBisVBZWSkOxrOystiSvwWruW2raPWmetb/tv7SIb5yoxFjOywdVlssYqnKbDaLazLuCB/ccTGXy+Ue64Fq8n1VV4vKy/Pnz+Pn50dycjLDhw8nISGhxYvKfn5+9OjRQ0w8AFi7di3x8fHU1dUxbNgw9Ho9q1atQiKRcO7cOfR6PUeOHGHChAmsWLECrVaLr68vGzZsYPr06QCsX7+eq666SgzXnThxIunp6Xz33XfceeedLX7fFovFqUpW+FuIShJmbXFxcQwYMIDQ0NB2NUnuaAhVheZUjMJPq9XqUGL08/MjPDychISEVjvmdxQqKirsyCoqKoopU6YwceJEfvvtN7Zv384vv/xC3759GTNmDF5eXnbBzQIeeOABl/l0crmcs2fPigHJw4YNc3v/mgtkdhUo7QqpqalIpVI0Gg3du3fnww8/JDQ0lIMHD3Lq1CkUCgXBwcGMGTOGSZMmsXv3bgfia0lYdWeDVCpFpVKhUqlISUlpGMzvL+aTnz+hrYF8lfWV7bOTjeAR4rNarW0qcwrw8/dn7ty5dhLzSxF6vZ7z58+LZKfT6UhKSqJ79+5MnjzZI42xRUVFxMfHU1xcTL9+/ZgxY4Yoc96/fz/e3t6cP3+ekpISgoKCmDt3LuPHj+fLL7/k66+/pqamhpycHD799FM2bdokbtdoNDaZE6jX613O2tRqtWiSLNycJUBcCrB1zHen1CiRSJw2TEdGRjpI8729O4fJcGvhLLQYGvpa09PTSUtL4/Tp02i1Wl577TV69OhBRESEGNwsPKepUNbVq1ezePFievXqRWJiIk899ZRYtWgOzQUyuwqUdrXOePjwYbp164bRaOTNN99k1KhRHD9+nLFjx1JTU8Ojjz5KTk4OEokEo9FoVzoU0JKw6vaCO21GzS3pCAnswv0mkwmLxcIvkl8wWduewe6pbjuPEF+YXI63VIqhjSGEYd7el6R1lsViobCwUGwetzV5vummmzxu8nzo0CEKCwsZOXIkBw8eFF9LIpEQEBBAYGAgsbGx3HDDDUBD3X779u3k5+cTFxdHSUkJ7777LufPn2fo0KE88sgjdk2wer2e3Nxcp71tBoN9AkRERIQYStrZe9uEHDNnJUZnpUapVOqUzKKiohyk+X8Wuy93MHz4cBQKBV999RXTpk1z+L8QNda1a1fmzZvH0aNH+f777wE4ePCgmLDe1DnSvXt3Pv74YywWC1988QXTpk2joqKi2fOquUDmtkAul3PPPfcwf/58jh07Rr9+/bj11ltZu3YtkydP5siRI8yZM4cTJ07YES00HVbduM2ovfpgnbUZ2YbTAg7J6sK29Ho9RqNRdMARqjJCUK28Ws7OozupM7Vc0WmLEGVIm57vCh65Co0PCcHYSkWnAKVUys0REe20R56F0KMnEF1OTg5BQUEkJSUxZsyYDjN5VqvV7Nq1i3nz5nH77bc7HVk6w/Tp03nyySfRarXMnj2bW265herqavr378/NN9/MDz/8QHR0NBqNhpycHMLCwsTQX5VKRUxMDGlpaYSGhnY6qyTBMd9dNaOXl5fTBuno6Gin8S9/wRFBQUH8+9//5p///CcymYxJkyYhl8v54Ycf+Pnnn1m+fLn4WKVSybBhw4iMjGTJkiUUFBSwZ88etFqtAznYYv369UyePJnw8HBxluTl5UV4eLhD2LEtmgtkbi2ECsCqVatQKpUEBASQk5ODXq+nvr6e8+fPc/ToUc6ePUtSUpKoBK2vr+fTTz8VieSGG25g5MiR4uC5vr6emJiYFrUZCcemrZJbIC6B+Orr68V+S+H4r6mpQa/X4+vr67TU3vj4b9xnaYtutd34d9a/2/SZKmVKbk65uU3bcAWPEF+0jw/jQ0LYUlnZ6pKnFZjVpUt77la7QjiYBbIzmUwkJyfTu3dvrr766g6dqU6dOhWZTIZUKqVPnz4sXLiQ++67r8nnGI1GioqKxHJk9+7d2bt3L+PHj2fZsmViAsQTTzzB+vXryc7ORiaTMXjwYB544AHkcrm4mH3gwIEWyZzbCkHl666aUS6XOyWz2NhYh/v/TCKZi4mFCxcSGRnJ0qVLue222wgICCAtLc1lkoYwWLrxxhvR6XS8/PLL7Nq1C7VaTXp6On379rV7/NatW1m4cCFarZb4+Hg2btwoilMahx3bYtKkSUyePJkePXrg6+vLvffeS3R0NBcuXODkyZOUlJRQWVnJ/v37MRgM5OXlAfD11187LQ0C9OnTB4lEgkQiITw8nDvuuIMffvgBb29vpk+fzty5czGZTAwZMoShQ4cSEBDA8OHD+fHHH8XQ3P79+/Pf//6X5557jmXLlmEwGOjRowfPPPOM0zU+V60pQrq67X2NW1OE35trTWkLovyjmJg8kc2nN9PahS+r1cq9afe2eV+cwWMN7Duqqpjy22/UtWLmJwWuU6n4vNHBfjFhNpspKCgQia6srIy4uDjR+zI8PLxTzXScJUDYliXbOwFCq9XaNcCWlpbayZxtbyEhIQ6fVWPH/KZKjHV1dXj/UQZvKv5F+L0zl1f/gnMIM6jTp0+TlZVFYWGh2Gvm5+fXYW1GLXEUak0/qF6v59ChQxw4cIC4uDhSU1NRKBTNGm0bjUa3j/+L5Qu7K3cXV310Vasa2KUSKVN7TOWrW77ywJ552LLsmt9+48fq6hY3sgd5eZGZnk7yRRQ7CCbPgiAlLy+PsLAw8eTr2rXrRb+gGgwGl71tNTU1HZ4A0Rgmk4nCwkIKCgrErMPq6moMBgMKhQKZTCY2+gu+jO6UWP4is86DpvpgW7Pu5KrNyMvLC4PBgFarxdvbm7CwMFQqFQqFwi2Vd0vbjNoL7qp5NRoNJlODGMTHx0d0anLlTdpRrSltgdVq5br/Xsf2c9tb3Mge6BNI5r2ZdAvt5pF986hJtc5s5vKjR8mqrXWL/CSAn5cXPwwYwNCLEAFia/KcnZ2NRCIRZ3QXw+RZMEl2ldun0+kcetts07Y9UbYTGubdKTHW19fbkZlAWj4+PlgsFnHtrbq6moqKCnx9fZ3atF2qbQydCRaLpcXk5M7jTSaTW0kWLSUnVwQlmGRnZGRw4cIF0SQ7LKz93T1coSVqXtvWFFeepLatKUajkYyMDPbt20dcXByjR4+2U5leatCZdExYO4EjF444TWVoDAkS/Lz92Hb7NoZ3He6x/fJ4LJHBYmHWqVN8UlqKFZw2tQuEFy6X822/fvTpgPR1aJiR5OXlieVLweRZIDtXJs/tidYmQISEhLSbq7qtY35zJRadTodSqXSrxCLkmrkDQSBUXFxs51laW1tLeHi4AyFeSq0PLYGzdSR3CKi51HWLxdLqJIvmRBUXa+ZRWVnJ4cOHycrKIiIigvT0dHr27NnikqNta4o7pXar1dpkVaI9WlNsCTA2NpYxY8ZcsgRoMBv4x6Z/sPHYRqxY0Zv1Do8RCC9MGcbm6ZtJiWi7T3NT6LAg2gKdjpW5Z1h1oQSDxQJWC0gkIJEx1E/Of7r3Y2wLDFBbA6vVSmlpqUh0+fn5REREiEQXExPjEd/GjkqAsIXZbHbb/UNwzHcny6wpJZcn0NjEW7gpFAoHR/mwsLAO27eOlJi3lZy8vdsnyaKzwmQyceLECTIzM6moqGDQoEEMGjQIpVLptppXIpG4FX8kKCY76rM0Go1kZmayd+9eYmJiGDNmDF06seivKRSqC1m58y3ePvwGBrMBLDKQWMDLwBDVeP5z1UOMSxzbIZ9thxDf0eKjLNmxhK3ntmJFit7LD2T+YNYjManxlVjpEtCFx0Y+xp0D70Qqab+Ll0ajscuo8/b2tsuoaw/3/Y5KgBAc891x/zAYDPj6+rp1MiuVykuqnGi1WqmurnYgQ7VabRfxFBERgUqlQi6Xt7pB19X/oPkki9YIJS52kkVnRlOtKQKRVVVVUVNTg8FgEE0DgoODCQgIaJbMOjMEAty3bx9dunRhzJgxREdHX+zdchu//gpLlsCWLYDUhE52ARTVYFIi0Ubg6xVIVBQ88gjMnAmevhx5nPg+P/45M76aQb2xvllZq5/cj4lJE9k4bSM+stbJ4A0GA7m5uSLZqdVqEhMTRbILCWldQ2RLEyBsZ21NJUAIsmR31guMRqNLsUfjEsullPDdXJKFu+Sk0+lEJwlh9iRASLPw8fER+5RaS04CQf2FtkNoTXFXzSuTydxSM3p7e3Pq1CkyMzPRaDSkpaUxaNAgAgICLvZbbhNMJpM4A7xUCPCrr+C226C+HppjG19fmDgR/vtf8EAnlAiPEt/m05u56dObWqToUcqUjE8az9e3fO3WzM9qtXLhwgWxfGlr8pyUlER0dLRbs5nWJEDYkpztiNGVY77tCfzJJ59QXFzMjTfe2ORJbHsyt1bJ1V5BnFar1YFwoqKixAb31qr4WiMxd4ewBIGEWq12mB1WV1eLjfi25VJPxVT9L6Fxa0pTJcZ169YREhLCDTfc4FapvTVq3gsXLpCRkcHx48dJTEwkPT2dxMREl9/zmjVr7NIcOiNMJhOHDx9m7969REZGMmbMGHbs2NFugbvthS1b4MYbG0jPXSiVcPnl8M03npv5eYz4SmpLSHo1qcXJuwC+cl+eGfcMC4cvdPr/mpoakeiys7PFPKnk5GTi4+NdNk0LJsmu1tsAl71tCoXC6cns7KfZbOaZZ54RTyyDwWDX5/Pss89SVFREfn4+GzZsaPOF9q677mLDhg3i2kOPHj1YtmwZw4YNa/O6U01NDV988QUnTpzAYDAQEBDAkCFDmDx5Mt7e3syZM4fly5fTtWtXt8nIlcS8o0JEoWFwYhvvJNwkEomDkCY8PPxP3T4xduxYbr/9du655x6Xj7FYLC6P/8bEptVqRSur5tSM999/P3FxcSxdutStfTUYDCxbtoyPPvqIgoICgoOD6d+/PwsWLGDSpElNPlev1/Prr7+SkZGByWQiLS2NgQMHOqi1PUV8OzwQPGsymThy5Ah79uwhIiKCMWPGEBsbCzSYApw5c4Zu3bp57PWbQmkpJCVBXStcy3x94emn4cEH23+/wINBtKsyV9mVmloCrVHL8r3LmT9sPlKJFL1eT05Ojkh29fX1ItFNnDiRoKAg8bkGg0F0X2iskKypqRFTGwRVZNeuXUlOThb7hIQTuaKigtzcXDvHfGcllvDwcBITE+3u9/Hx4YknnhD3KSEhQcwRE7BkyRKkUqlYlmvLutOpU6cYO3YsEydORKfTcejQIa699lqWLFki9jm1JMnC9v8LFy4kNjaWb775BpVKxdmzZzl27JjowThnzhyuv/568eRqLYQepo6CXC4nOjrarkwkmHgLytLs7Gz2799PZWUlISEhDoQYEBBwSc8OBTIzGAyUlpZy9OhRlwIoV60p/v7+qFQqh9mau6Xglq4tT5s2jcLCQtauXcugQYMA+Omnn9i8eXOzxOfj48PgwYNJT0+noKCAzMxMXn75ZXr16kV6ejpdu3a95L5PwU1p0KBBZGVl8dlnn6FSqRgzZszF3jXeeQdaa9es1cKKFbBgAXhiVcEjxGeymHj14KvozLpWb6NWX8vKL1cSXhNOcXExMTH0Cj+AAAAgAElEQVQxJCUliSWR6upqqqqqOHz4sF1vm16vJzAwED8/P7FJWqFQiKo/rVZLzf+1d95hUZzf2//s0pt0C6ggig1jA2PUKFEjimhMYknsJTGWoCnGN3YFjcTeDV8rKhqjJjGWWNAoaBILKFYULCiCgCAgvezO+8e682OpS1lL3Pu6uJadnZl9dnZm7znnOee+09KIjY0tsZLLxMSkmGK+cr6sNDLKzc0lPT291NczMjL4888/iYyMFF8LCQkhMTGRjh07cvPmTSwtLRk1ahTOzs7o6+uTkZHBtm3buHnzJkZGRgwcOJDBgweXSE5BQUHUq1ePCRMmoK+vL6o6DBs2DDs7u2J3sMePH2fSpEnEx8czdOhQbty4wfDhw0u847969SoLFiwQS6mbNm1K06ZNVdY5ceIEnp6eJCUlMWTIENauXYtEIkEul7Nw4UI2btxIdnY2vXr1Ys2aNZibm4vR3aZNm/Dx8cHR0ZHo6GhA1US0QwfN9fIUhVLE28zMDGdnZ3F5QUEBSUlJKhJtShPgwqlS5f8vU/ascGtKedW8StGApKQk7t69y927dwkJCWHfvn2kp6fj5ubG0qVLadSoEUZGRkydOpWdO3eSm5uLg4MDu3btokWLFuTm5jJz5kz27NlDbm4uH330EStWrMDIyEiMMiZOnMjy5csxNTXlhx9+YOjQoeKYU1JS8PLyIiQkhObNm7Nr1y4aNmxY7LOdOHGCoKAgoqKixKgGoFevXvTq1Ut8HhERwYQJEwgPD8fe3h4/Pz8++OADQJEdKWzMvGfPHnR0dPDy8hJ1NJXrKvHPP//w1VdfERkZSePGjVm1ahUdO3YEFNFy586d+euvv7h69SodOnRg165d2NjYVOh7K+sYuru7M3nyZPr378/Zs2fp3Lkzhw8fpnfv3pw4cYLvvvuO8PBwrl+/zt69e1m9erVoFt2yZUukUinr1q1j/Pjx5ObminKKkZGRGpsflMlg1SrIqTwFkJ0Nx47Bc4eoaoVGiO/kvZOKctUqILMgk133dvFDsx+wtrYmJSWFsLAwTp8+jVQqFUlN+QObn59PdnY2UqlU7IXS0dFBKpWKhQ1KJROpVIpEIhFL0pUElZSUxOPHj8ssMS+vp0lfX1/FqFZPTw9DQ0PatWtH9+7dxWXp6eksWbKE3377jZ49ezJr1ixOnTqFn58fcrmcdu3a0a9fP4KDg0VTyj59+pSo22dkZIShoSGmpqbIZDK2bNlCgwYNqFWrVrF1k5KSGDBgAAEBAXzwwQesW7eOjRs3Mnz48BK/h3feeYeZM2eSkpLCu+++q0IIShw6dIiLFy/y7NkzXF1d6du3L7169SIgIICAgABOnTpFzZo1GTFiBN7e3uzYsUPcNjg4mIiICKRSKQkJCcVMRF8F6OrqUrt27WJ9VBkZGSIZPnjwgAsXLpCcnIy5uXmx6NDc3LzS0URJrSmlPRZuTSl882ZmZia6RhRtTTl8+DAdOnTAwsKCwMBAjh8/jouLC9999x1fffUVISEhHDt2jJCQECIjIzE3N+fWrVviDcr333/PvXv3CA8PR09PjyFDhuDr64ufnx+AqNoTGxvLuXPn6N27t9hzBwrD2aNHj9K2bVtGjhzJzJkz2b17d7HjcOLECdq3b69CekWRn59P3759GTNmDMePH+fs2bP069eP0NBQ8f127drFn3/+yaFDh8jLy2PUqFE0a9aM3bt3c+zYMXx8fLC3tycuLg5DQ0O8vLxYvXo1gwcPZu/evSJJKpvmd+3axZEjR6hXrx6enp4sXbqUH3/8sULfcVnHUDl/179/f0JCQnByciI4OJjevXsTEhKiEt1JJBLR9klXV5dvv/2Wxo0b4+7uzpEjR15YqvOvvyC3eLtehZCeriDP14b47qfep0Be9dRVTGYMoaGhSCQSdHR00NHRwcDAAKlUKjadymQykfgAUQYrPz8fiUSCIAjI5XIV8lIS4YsqMVeqwdcs5Daho6NTquFlZUwply5dytq1a8l5fou1efPmEtNNf/75Jy4uLqIl0eTJk1m6dGmpY1+zZg0rVqxg7dq1fPHFFzg4OLBmzRo8PT3FdaZNm4aFhQUWFhZ07dqV8PBwevXqxc6dO/n2229xcnICwM/PjxYtWrB161Zx23nz5mHyggQLqhvK9F7h6EQmk5GcnExCQoLoPJ6QkEBeXp4KEdrY2GBsbCym18uaNyutNaVGjRrFXCOq0pqyc+dOxowZI5qk+vn5YWlpSXR0tHizduvWLd5++22aNWsGKNLDGzdu5OrVq1hZWQEwY8YMhgwZIhIfwPz58zEwMMDd3R0vLy/27NnD7NmzAfj44495++23ARg6dCjfflvy3H5SUpLKzcfTp09xcnIS7aRycnI4d+4cGRkZTJs2DalUSrdu3ejTpw8///wz8+bNA6Bfv3506tQJUKS8f/31V65du0bTpk1xcXEhLi6O48ePs2fPHq5evYq9vT2ffPIJurq6DB48mNWrV3Pw4EFGjRoFwOjRo0UniEGDBnHgwIEKHffyjqG7uzvffPMNoHCYnz59Ops2bQIUN45fffVVsX0qr/3hw4eTmZnJ/v37efz4MbIqWsWpi/v3K5/mLIw7d6q+j5KgEeLLyMuoFuJDD9w7umNkZKRWocTrVmJemuFlZUwpv/vuOxYsWIAgCNy4cQMPDw+srKxUCAoUBrWFDT4lEkmZd9BGRkbMmDGDGTNm8OzZM3788UcGDhzIw4cPxYu06OfIyMgQ38vBwUF8zcHBgYKCAhISEsRlZZmNvm5Qtqbk5+ejr6/QkzQwMMDS0pK0tDRSU1O5ceMGly5dEn+AdHR0MDQ0xMzMDAsLC9HmSUmqL7I1JS4uTsUZ3NTUFGtra2JjY+nWrRve3t58+eWXPHz4kI8++oilS5eSk5NDVlaW6KEHiP5tSihbepRwcHAgLi5OfF7a+VMU1tbWKn51VlZWpKamcufOHTEToTy/C5O/g4MDsbGx4vPC59yTJ08oKChQWebs7My5c+eYPHky33//PaampqxcuZIWLVrg5uZWbH/qjr80PHnypMxj2KFDByIjI0lISCA8PJwDBw4wd+5ckpKSuHDhAl26dCl13zo6OrRt25ZWrVqxZcsWsrOz2bZtG+7u7jg6OpY5rsq0GWVnZ5OVlcWpUw3IzXWlqhRTkWrQikAjxGduYI6ejh758vwq7ce2hq2Yq36TUJYpZXmQSCS0aNGCTp06cfjw4WLEV6dOHZVUhyAIaqc+atSowYwZM/Dz8+P+/fsi8ZUGOzs7Hjx4ID5/+PAhurq61KpVS3zPwj/or2JhQWmtKSU9FhQUlFiKb2VlRf369YvNGwuCIEaHyr+rV6+Sk5NTzOKpVq1aGrF4Koyi35eyyMve3h5QZAcmT55MYmIigwYNYsmSJfj4+GBkZMSNGzfE9YoiJSWFzMxMkfwePnxYzGZIHXTv3p01a9bw6NGjUm/W7OzsiImJQS6Xi+T38OFDFW++wueZsmI3JiZGnLtWWhFJpVJatmxJcHAw48aN49KlSwQGBhIaGoqLi0u1FWTZ2NiUeQyNjY1xdXVl1apVtGjRAn19fTp27Mjy5ctp2LAh1tbWYh+r8sZSKbJw584dsYCpcHX57t270dXVxdraGl1d3RKL5wq3GSkzbsppIqVBrVwuFw1qCwoKxBs5qbQmOjpClaM+Tbm7aYT4XGq6IKFqP2JSiZTWtVtX04heL7z99tvUqFGDRYsWMXnyZPT19YmIiCA7O5t27dqVu/2tW7c4e/asmCotDC8vL7y9vdm/fz99+vTB39+f+Pj4Uvc1f/58evXqRatWrZDL5axatQoLCwtxvqQsDB48mEWLFuHp6YmtrS0zZswQU0YloTwT0epCUV3GsrRJZTJZiQVQ1tbWODg4qCyvaJ+l0r/N1tZWhQiys7NJTEwkPj6ex48fc+XKFRITE8XCq6IWT9WlujNkyBA+/fRThgwZQrNmzZgxYwbt27fH0dGRixcvIpfLadu2rfhZlT+EY8eO5ZtvvmHt2rXUrFmT2NhYrl+/rpKWnzt3LgsXLuT8+fMcOnQIHx+fCo/Pw8ODrl278uGHH7Ju3TratGmDRCLh3Llz4jrt27fHxMSExYsXM2XKFP7++28OHjzIxYsXS9ynjo4OH3/8MfPmzWPLli1ER0ezbds2MRrq3bs3kyZN4vDhwwwaNIj4+HgSExOxsbFhxYoVpKSkqB3hKavcnzx5okI0EomE/v37M3r0aKZMmYKpqSmxsbHcuXOHli1bkp+fj62tLStWrKBnz5789NNPACxfvpzWrVvj6+uLnp6eeJ789ttvYq1BSEgIbm5u6OnpYWBgIKob1atXj4SEBKKjo9HV1aVOnTpYWFiIBJqVlUVWVhbZz0Ou0vR5i14byqzbuXPwxx+QV4VSD4kEWmuIAjRCfB3qdsDG2IbMtMrbzhvpGpXax/dfh46ODgcPHmTKlCk0aNCA3NxcmjRpUmav0+LFi1m5ciWCIGBtbc3o0aMZN25csfVsbGzYu3cvkydPZuTIkQwdOhQ3N7dSowmJRMLo0aPFaK1ly5YcPnxYLaPdMWPGEBcXR5cuXcjJyaFnz56sWbOm1PWNjY2LmYi+88475b6Pcr5XXW3SslpTHB0dVS5oAwODFx6JGhkZ4eDgoJImlsvlpKSkqESGCQkJZGZmVouIt0QioXv37syfP5/+/fuTkpJCx44dxSKTZ8+e8c0333Dv3j0MDQ3p2bMn3z1vslq0aBG+vr688847JCUlYW9vz4QJE0Tiq127NpaWltjZ2WFsbIy/v3+xymB18dtvv+Hn58ewYcOIjY3FysqKt956SzSc1dfX58CBA0ycOBE/Pz/s7e3Zvn17me+3du1aRo8eTe3atWnatCmjRo3ir7/+Ep3ZAwICmD17NuPGjaN+/fqsWrUKFxcXUlNT2bRpE8HBwcjlciwtLTl//jyJiYls2rSpWBowKiqK2NhYlbl+gCVLluDh4cH+/fsZOXIk6enp2NjY8NFHH1GrVi309fXx8vLijz/+YMiQIXTp0oWWLVuyb98+vL29GTJkCAAbNmzg/v379OjRg8zMTMaOHYu/vz+5ubmMHj0aFxcXWrVqxccff4wgCMyZMwc7OztRrN/AwIDmzZvj6OiImZmZWABVmSmk9u2hZk3FXF9lYWwMpUz3Vhkaa2Bff3E9U4OmVqqBHaCxdWNufXnrlUx//Zcgl8upW7cuO3fupGvXri97OCKUBQvqVjMqdRnV0SZ9kSLDmkZOTk4xEe/ExERRxLvwX2ki3m3btmXOnDl8+OGH1T4+TTZNF63KVncuqrz1izpZlFdfoKOjQ3JyMjExMWRmZtKoUSOaN2+OlZWVyvoVdbJQVvOqIxpQkmtKaY8luabI5XJu3LhBcHCw2ELRsGHDKl0n/v6KBvTKNLADNGoEkZGKyK+6oTHiS89Np8GqBiRnJ1d4W2M9YwL6BTDQZaAGRqbFsWPHaN++PUZGRixZsoR169Zx7949jVv9KMlMHW3SzMxMpFKpWvZHSjLTQoHCIt7K1JxSxLtodJicnEznzp25deuWSoRZXTh16hTDhw8nKiqqQiIN5ZFVXl4egiCoXZ1dEcm7qjhZPHnyhNDQUK5du0a9evVwdXWlUaNGItEUbk0pL82em5sr6sqWl2KsLtcUJQGGhIRgYGDAe++9V2kCzMiABg0gKani4zA2hs2b4dNPK76tOtCoVueV+Cu8u/VdMvLUr3Iy0TNhQrsJLOmxRFPDeuMxb9481qxZQ15eHs2bN2f16tW0b9++UvsqSTG/rAtaV1dXbW3Sl9kI/l+EUqFFGRmuXbuWv//+m65duzJgwABsbW2xtrbGwsICExMTtbwByyOnyMhIfv31V2bMmKF2H2xFIq1XIXIvyTUlLS2NmJgY4uPjycvLw8DAQDyeytYUdSzAXtbnk8vl3Lx5k5CQEPT19XF3d6dRo0YVHs/Vq9Cpk4IE1YWxMYwfD8uWVXDQFYDG3RkuPb7E+9vfJ7sgm5yC0tv4pRIphrqGfNfhO+a9N++VOKHfVCgFu9WtZtTT01Pby0xLZlVD0RLzqkZPhSXzJBKJ2CMrl8vR1dXFwMBATKEprX0qY7X0uiE/P1/tNHtprinKx9zcXFFX2MnJqVyR7FcJgiCIBKirq4u7uzvOzs4VGnt4OHTvrmhNKKs9QSJRCFRPmaLQ6dTk4XkhfnxPMp/gH+rPqvOryCnIIzM/XXzNQGoEEjlezl5M7TSVd+qWX8ygRcWhVMxXx/4oKysLfX19teyPTExMXimVlVcFRZ0sKjoXVdZrurq61ZraU/5fmKAKi3gr06Xx8fHo6OiI0my1a9cWm/Ffh3OgNLGAkq4BmUymdppd3WrenJwcrl27Vq5I9qsIQRCIiIggODgYHR0d3N3dady4sdoEmJSkmPNbtUpBfoXn/QwNFXZFvXvD1KnwIlQKXwjxCQKcOgWLFss4FfsnErswBKMnSPJN4Vl9bBMHMW2SLSNGQI0amh7NfwdFFfPLSjEqFfPV8TKriMjw6w6l6k9FmnTVKZTIz88vlYQqQk4lEdTLMg1WGi4XdbRISUnB0tKS2rVrq/QfvggR76KtKWVdA8rWFHXS7Jqs5lX2zoaGhnL79m2aNGmCq6vrayGSLQgCt27dIjg4GKlUSpcuXWjSpEm541ZywOLFcPKkwm5IEP4vqrOxge+/h5EjoZDngMagceJLSgIPD4iKKjvPqxR22LsXivRcv1GQy+WlVnIVfSyqmF/WBf26k5lcLq+26Knw84KCggpHT+pGU6/6j1h1oaCgoESLJ0EQSrR4KivdrWxNUTfNXlJrSmmPL6M1pTxkZWVx5coVQkND0dXVxdXVlZYtW2JoaPiyh1YmBEHg9u3bBAcHA9ClSxeaNm1a4vFNToaePeH27bI5QBn47tkDXl6aGPX/QaPE9+QJuLpCQoL6jYxGRhAQAIMGaWpULx5VLUsuLcVYUlnyy4ayxLyi0VN565ZUYl5SNKRuak/5V5UKPi1KhyAIZGZmiqnSx48fEx8fT2pqqlipaGBgIGrr5uTkiNdDaa4pJV0D/5XWFEEQiI6OJjQ0lHv37tGsWTPc3NxeeXd1QRCIjIzk9OnTCIKAu7u7CgEmJSk4ID6+YhywZYvmKjpBg8RXUABt28KtW5BfQeUyY2OFunclCw2rhHnz5nHnzh0CAwPLXK+6ypKLXtDqlCWX5O9XESh1AMsjnPnz52NlZcWQIUPKJa7AwEBMTU1FB4qKzC2ps35cXBwuLi6kpaW91pHrfwWFyUod0QAdHR2xUlEZ8eXn54uWXnK5HBsbG+rUqUOdOnWoVasWOTk5tG7d+rX4zsePH4+9vT2zZ8/mdJHexYperxkZGVy+fJmwsDBMTExwc3PDxcVFbNlRxzj4RUNJgMHBwchksudFMM1o105CRETFFVyMjBQcoIZ+RaWgsRnpAwcUXfsVJT1QmBBOnQohIdU/rsKKI8p5L+VFtX79elGuJzIyssw0S15eXollyebm5qJi/vTp0/n9999FVRQHBwf69u3LtGnTVMxzS0PhCr6i6bmYmBiuXbtWbvQ0bNgwfH19sbS0JC8vjxMnTnDmzBlGjRpF3bp1yySkL774QnyuvLsujZwuXbpEvXr1mD17dol34EXdoIsiICCAzz77THQXaNCgAT/88AN9+vQRj11FxX+1qBiU1bzqpBgLt6b4+PiQmprKjh07sLOzw97eHhMTE/r378/NmzeJjIws0c6qMJTRYUJCgjj/lZSUhJ+fH7/++qtKutTCwqLKUZ4gCKxZs0ZUO7G0tKRDhw7MmTOHt956q8xtS3Jo9/f3r9J4CsPU1JTOnTvTqVMn7t69S2hoKEFBQbz11lsqQtavEiQSCU2aNKFx48ZERUURHBzMqlUPiIryIC+v4jct2dmK5vdCh7haoTHiW7SoYr0bRXHxIty7p7CurwqKliUHBweLz0eNGsWIESNwdHQkIyODBw8ecPnyZVJTU7l48aJIaJaWltStW7eY/Yvy4lNW8BWNhgoKChgzZgwTJ04ULV3Wrl3Lzz//zLJly0TX97KiKalUqlIWbmhoSE5ODlFRUdSoUUOFgAwMDDAzM1MhJ4Bu3brRpEkTVq1axZUrV7hw4YJoK1NdKCxgW1l06NCBs2fPIpfL2bhxI59++imPHj1ScanQomJQVvOqo0uamZkp3uQUzUzUq1ev2HLl+bVs2TKsra1JSkpi8ODBAFy7dk0UcVanhcXExAQnJyfRwqqgoACpVKoi4n3p0iUSEhLIyclRMQBWFtVURMT7q6++4vDhw2zcuJFOnTohk8n4/fffOXz4cLnE96Igl8txdnbG2dmZtLQ0Ll26xI4dO4iPj+fRo0cUFBS8ctW0EomExo0b4+zszPr1OWRlVT5SDwuDu3ehBE/iKkMjR+32bbh2rWr7kMlg9Wp4blGngqKK+WVd0ErF/MKq+IaGhqLIroODAx07dlRRcs/Pz2fbtm2cPXsWGxsbJk2aRP369VE2AAcGBhIVFYW+vkIlvV27dmKJeeFoKDExEblczp07d9DT06Nu3brMnz+fkSNHcu7cOYYOHUp8fDw+Pj7cuqWQZ+vWrRvLly+nZs2a6Ovr4+TkxIQJE9iyZQu3b98mMzOTH374gW7duvH+++9z69YtPD098fPz49NSkuK1atVi5cqVBAYGcubMGfHHRZmS+eabb1i0aBE6OjosXLiQ0aNHA4hRoVIjdPHixaxYsQKJRIKvry9jx45VieJKc9JW2qa0atUKiUTC5s2b+eSTT0r97qVSKcOHD2f8+PFERUXRrl070bE9Pz8fXV1dAgIC8PX15cmTJ9jY2LBgwQLR1XvLli0sWbKE+Ph43n77bTZs2ICDgwOCIPDtt9+W6CL+OkEulxfrsyyNzJRZjZLIzMrKqljGorI/pMOHD2f79u1MmjQJgG3btjFixAhmzZolrnP48GFmzZrF3bt3MTc357PPPhM98pTf76ZNm/Dx8cHR0ZHt27eL33mLFi2Ii4tj/PjxnD17lho1ajB48GA6dOhAeHg4u3fv5unTp5iZmREaGoqdnR3+/v5079692M1YVFQU69at499//xV9AAEVV/i0tDQmTZrEkSNHMDY2ZuzYscyYMYPbt28zfvx48vPzMTU1RVdXl9TU1GLXSmm4cOECX331FRERERgZGdG/f3+WL18upjElEglr165l5cqVFBQUcP/+fYKCgpg0aRKPHz9m2LBhmJmZERMTw4oVK2jdujWurq7lOqW8aERFSbh9u2pKUEoX99Wrq2lQhaAR4vvnH0W5alWQnw+//55O587HxQs4KyuLnJwcFVNZXV1ddHV1VaINQRDQ09PDzMxMjMSePHlCXFycSoSUl5dHdHQ0FhYWImFlZmZy9uxZfHx8mDVrFlu2bGHHjh2ijUf//v3x9PTkyJEjJCYm0q9fP7788sti9j8AZ8+epW7duqLpqxJeXl48fPiQ1q1bc+fOHXx9fenSpQvPnj0TL4SVhRj/559/5vDhw8X6pS5dusSHH37I+vXrxZRgSZg2bRpXrlwhJCSE+vXrq7wWHx9PWloasbGxBAUFMWDAAD788EMsLS1V1jt69CjLly/n5MmTNGjQoEQB7NKctENCQpBIJFy5cqXUVGdhyGQytm7dip6eXokyWpmZmUyePJmLFy/SpEkTHj9+zNOnTwHYv38/Cxcu5ODBgzg7O/Pjjz8yePBg/vnnH44fP16qi/jLhrI1RZ1qxuzsbLE1pSiZ2djYlKqYr0m888477Nixg4iICBo3bswvv/zC2bNnVYjPxMSE7du34+LiwvXr1+nRowetW7dW0QgNDg4mIiICqVSq4tsICrcPpVHsrVu36NGjB++//z5jx47l0aNHLFq0iBUrVjB79mzWrl3L559/zhdffFHM4uno0aPUrVtXhfSKYtKkSaSlpXHv3j2Sk5Px8PCgTp06fPbZZ/j7+xdLdaoLHR0dVqxYgZubG48ePcLT05P169fz9ddfi+vs37+f8+fPY2RkRFJSEv3792fLli3069ePtWvX8r///Y9x48bx8ccfExYWxubNm6lduzZubm40btz4lZgP/fdfqOow8vPhxInqGU9RaIT4UlIqN7dXFKmpAnfv3hXTeJaWlhgZGWFgYICBgUGFy8yLlpgvX74cT09PlUnnq1ev0qVLF6ZPnw4o3AxcXV1p3rw558+fJy0tjcWLFwMK1fkvvviCPXv2lEh8pcHOzo6wsDAAGjVqJJKBra0t3377bTHLlsmTJxczbD1z5gybN29mx44d5YpLHz9+nJEjRxYjPVCkoebMmYOuri69e/fG1NSU27dvF3NF2LNnj6jwDgqbmaIFQOo6aZeGc+fOYWFhIc4fBQYGFlOyV0IqlXL9+nXq168vFkQA/O9//2P69OliKnfGjBksXLiQBw8elOoirikoW1PUaZjOycnB0NCwxFL8mjVrFpOyehV+3IpCGfUpK/uKessV9tZs2bIlgwcPJjg4WIX45s2bh4mJCUURExPD2bNnOXToEIaGhrRu3ZrPP/+cHTt2iFHdu+++y4QJEwCwt7fH1dWVb7/9VpRpi4+P59q1axw8eBCJRMLPP/+s0ohvZWWFVCpFJpPxyy+/cPnyZczMzDAzM2PKlCns2LGDzz77rErHqPAcnaOjI+PGjSM4OFiF+KZPny5GcHv37qV58+YMGDAAgK+//pplz7W8rKys6NGjB127duXmzZucO3eOP//8k7Zt29K2bVu16giqiqKydsr/o6KMycuzBqoWAaWlVc84i0IjxKevX/WID0AqlZGdnS16QlU3UlNT2b59O3///be47PTp0zx9+lQkn5SUFHJycpgzZw4RERE8evRIpcdGEATq169for9YeHg49+7dK/bakSNHkMlk+Pj4kJGRwZEjR3j48CG5ubkIgoCRkZ7XRkkAABllSURBVJG4TWpqKqdPnyYmJkZl3MuWLcPBwYGQkBBCyqkC6tu3LwEBAVy7dk2FJO/fv4+enh4//PCDuCwvL4/169dz7NgxlfGHhITQpEkTcVzK+ZvVq1djbW1NeHg4NWrUEF+/f/8+cXFxKp9duW5JuHz5MnZ2dnz22Wfk5uZy4MABli1bRkREhPg9APj6+qKjo0Pfvn35f//v/zF06FDq16+Ph4cHtra2hIaGcvLkSb788ktx3zKZDF9fX+rXr0/Dhg35+OOPSUtLo2nTpnh4eLwyPVPKrMbrBuV1ZG1tzdatWzl48CCNGzfG19cXgJUrV2JpacmjR484ceIEiYmJyGQyCgoKcHFxwcfHR/x+AwICRFIv/J0/fvwYQ0NDli9fLr7vtWvXiIiIwMfHp9TrduHChcVuEvT19UlNTSUyMpLIyMhin0dZvLZz504xBRkVFcW1a9fw8fHh8uXLPHz4UOXcLnyt3L9/n2fPnqlcw8rfmaSkJI4dO0ZcXBz5+fnI5XLs7OxU9rV//37OnDkDKG5w09PTVV6XSCQcOHBAxQW+MNT5TdA0Ll92Qy73oKrEpymFQ420M+zbB2PGQHp6+euWhQ4dFGlTTaGkMuOi7QyF55YuXrzIiBEj1HZGLynvn5GRgbOzMzNnzsTb25vPPvuMrKws1q5di7W1Nfv378fb27vMUmhHR0dWrFjBokWL6NChAytWrCh1DMpqytzcXN577z2mTJnCtGnTgJItYwq/X+Hxjx49mjp16rBw4UJA4ezs7OwszvEV/axF961OVWfh9FFycjINGzbk1KlTtGnTptgcnxLZ2dnMmjWLCxcucObMGXr27MmIESNU5mtKgtJFvHPnzsydO7fE+bGS5s2KtqaUJRpQXYr5rzoKnzPvvfcely5d4vHjx2JW5v79+zg6OtKwYUO8vb2ZMGEChoaGfP311yQlJREYGFji91t42ePHj3F0dCQ1NRUzMzNAEc3HxcUREBBQ5nVbdN4yKiqKpk2bcv78edzc3MTlubm5JCYmEhcXx7vvvsvcuXPFufsbN24QGhpKYGAgp0+fZvfu3So3zIXP/7LaGbp3706bNm2YO3cuZmZmrFy5kn379nH27FkEQUAqlXL16lXq1atHfn4+O3fuZNu2bezevVts//D09GTUqFF4eHiU2gebm5tLVlaWeDMNiJmz6uyDLU0o/LffYPRoeG5pWGm0b68wta1uaCTi69WLarGcL2Ea6aWiKs7oubm5XL9+ne+//x5LS0uxgCQ9PR1zc3MsLCyIjY1lyRL1XCnMzMw4evQo3bt3Z9q0afz4449lru/i4sKJEyfo1q2b+KNTEQwaNIgxY8YwfPhwHBwcxLt5dVGrVi3u3bun1hwfgLW1NZ9//jm+vr78/vvvKq8lJCRw/vx5unfvjpGREaampuJd/fjx45k9ezYtWrTAwcGBx48fc/z4cTp37szFixfJysqiTp06pKWlkZiYyL///oufn1+J5GVhYUHdunWLkdl/oWFaU9i8eTMpKSmYmJiIWQEl0tPTsbKywtDQkAsXLrBr1y48PDzU2m+9evXo2LEj06dPZ+nSpURGRrJ58+Zy+21LgrOzMxMnTmTw4MFs3LiRjh07IpfL2b9/P9HR0UybNo1PPvmEsLAwtm3bRnR0NGvXrmXAgAHcunWLiIgIbt68yZo1a8T2iidPnmBgYMCtW7e4d+8e+fn5/Pvvv+TlKRzNz58/T2ZmJg8ePMDS0pK9e/cSExPD+vXrMTY25scffyTvebPb9u3bsbOzQ19fH7lczq1bt/D39+edd94hKCiI5ORkZDKZOM9bXh/skydPCA8PJyIignr16uHm5oajo6NGz+OePRW93FWBJjlAI8RnagrDhim676vy4V819ZbKOqOvWrUKuVyOo6Mjffr0Yd++feI8xty5cxkxYgTm5uY0atSI4cOHlxnBFYaFhQVBQUF07doVPT095s+fX+b6rVq14tixY/To0QNDQ8MKuWB7enoyefJkunbtilQqZfbs2ezYsUPtEvJ58+YxcuRIsrOz2bBhA4PU+HK//vprGjZsyNWrV6nxXMQ1NTWVR48eMX/+fNF52snJidGjR7N161YyMzNp3rw5Hh4epKWlYWxsTMuWLXF0dCQtLY0NGzYQFxeHoaEhXbt25aeffsLW1lZLZtWEhmXUnq9fv54pU6bg7e2Nu7s7gwYNIjU1Ve19//zzz4wfPx47OzssLS3x8fGhR48eZW6jjH6KijRMnDgRY2NjxowZQ1xcHGZmZri4uDBo0CD2799Pt27d2Lx5M/b29ujp6fHOO+9ga2vLnTt3sLGxwdbWlu+//x6JRMLcuXOJj48nIyODffv2ERsbS15eHnfu3BHn2WrUqEH9+vWZPXs2Pj4+HDlyhBYtWjB8+HD+/vtvvvrqK/T19Zk7dy7jxo1TuUFs3rw5kydPZsuWLQwfPpx3332XZs2a0blzZ7WOW/369cXpgKtXr3L06FFkMpkokq0JH04TExgxAjZtqjwHCAKUUfxdJWhMuSUiQiFVU5npOQMDBdOvWlX949KiehAREUGLFi3Izc2tUi9RSYr5pZXmF1bML09oWF3FfC1ePpT6nNXtpK5Mc1ZWRaisYrmSUthKEe/4+HgSEhLEopqUlBSsrKyK6Zaampq+lHNUEARiYmIICwvj9u3bNG3aFFdXV+rWrVut47l9G9q0qTwHjB0La9ZU23BUoFGtzvnz4ccfFUos6kJHR9GwGBoKz1P5Wrwi+P333/Hy8iIzM5ORI0cilUrZv3+/yjrKHzF1vcwEQVBLk1HTivlalI+iThbV5WZR2MmiOsnpZTpZFEZJIt7x8fFIJJJijfi2trYvtCk9KyuL8PBwwsLC0NPTE0WyKyIGUBYWLoQffqgYB+jqgqOjooFdU249GiU+QVBIj/30k3of3MAA6taFM2fgeXW6Fq8AlGTWu3dvLl68iEQioU2bNnh7e2NgYFAsOgPU9jL7r4gMv0ooyTm9OtwslE4W6hBORfVa37RzQBAEMjIyijlaPH36FAsLi2LRYY0aNTR6jARB4P79+4SFhXHv3j2aN2+Om5ub2CZU+f3CtGmwdq36HGBvr+AATepzvxA/vm3bYPp0RZVnSTJmxsYgl8PAgYoDpPXk0zwEQSA3N7fEKKykVKNSMV8dLzNlCbgWZaOwk0VVyanwMqXAQ3WSk1Is4k0jqBcNmUymEh0q06UFBQXFyLBmzZpqycFVFOnp6Vy+fJlLly5hamqKq6srLVq0qNJ7bd+uIMDyOGDAAAUHaLoF8YUQHygmOBctgmXLIDVVcScAirC2Vy+FLE2DBi9iJP9dKBXz1fUyUyrmq+Nl9qaSWWEni4qm9spbF6jW1F55JeZavL4oLOKt/EtKSsLc3FwkQWUjvrm5ebV8/0q5xbCwMGJiYnjrrbdwc3PD1ta2cvsrkHNyUSiLl0m5lOpEpmCMPnnU1H3KxJ73GL2qNZYNX4z02gshvk2bYOZMRahbEtsbGSmI8OOPYf36F+PA+7qgqGJ+WbqkSsUTdb3MNHG3+LJQmpNFZeedCj+XSqXVTk56enpagtKiSpDJZCoi3sq/vLy8YjJtFRXxLorU1FQuXbrE5cuXsba2xtXVlWbNmqk/H7l1qyLtl5lZNgn06wf+/qBhKUGNz/F98w1s3KhefldfX5HfPXtWs/ndl43SFPNLIzN9ff1Syawoqb1qau1FoXSyqK55p8LPCztZVFeDrpKgtNDidUFWVpYKESYmJvLkyRNMTU2LpUstLS0rdPMlk8m4ffs2oaGhJCQklC+SLQgKfyF/f/VJwM5OQQJFJO+qExolPh8fWLz41avo0QSUIsPquKyXpJhf2uPLIjNlQcvChQu5d+8eS5YseS1LzLV4M3G6BFWi6oTyuti0aZNG9l8eChvfqgO5XM7Tp0+LRYfZ2dnUrFmzWISojoxfcnIyYWFhXLlyhTp16uDq6kqTJk1Ur8P58xVzXM+L3tSCjg44OMClSxpL/2mM+G7eBDe3V7OHQ10UVswvz8ssOzsbQ0NDtVKMZSnmV9StuaQSc3UJqOj/N27cIDAwkKlTp1JQUKC2U3pFCiVelRJzLdRHRc/JVwFVIb733nuPc+fOidWmzs7ODBw4kG+++abUdKHyJnHnzp3ExcVha2tLt27dmDNnDo6OjlX8NJpDTk5OMTJMTEzE2Ni4WHSoFPEuioKCAm7evEloaCipqam0adNGIZL9+DG0bVs5EtDXh88/h3XrquFTFofGQokVKyrv0JCbCwEBimixukUFZDJZMfuX0sgsJycHIyOjEsmsqGK+iYlJmT/ohUvMU1JSSiWj3NxcLl++XGy+qjRyk8lkahGQ8rGoUW3hde3t7fn999+ZOnXqG1lirsXrCU0YsiptjTIzM7l48SJff/01QUFBnDhxosTrYsCAATx69Ihdu3bRpk0bMjMzCQwM5OTJk1V2dCgKmUxWbel3Q0NDHBwcVOy/BEEgJSVFbMS/fv06J0+eJCMjA1tb22KEaGRkRMuWLWnZsiUJCQmEhYXh7+9P/6AgGubnU6lfkbw8RTvAkiWKks9qhkaILyMDdu6sulbbL7/AqFHlryeTydRumM7NzRX1HQuTlpmZGbVr1xZtj5RzO0VLzpWEk56eTnJycoVLzMuLhpRCtUoLllatWrF//35q1KjBwoUL+eCDD9DT0yMjI4NZs2YRFBREdnY27u7uYjP5oUOHmDVrFtHR0TRv3hx/f39atmwJ/J8Vyo4dO3j8+DEffvghP/30EzKZjE8++YTc3FwxXx8ZGcmGDRtUxH8PHDjA9OnTiY2NpXXr1vz000+ivY+joyPe3t5s376dBw8e0KtXL7Zt2/bKuB9oUf0o61yLiIhgwoQJhIeHY29vj5+fHx988AGgEHU2MTEhOjq6mHExKBzSf/vtN9LS0nB2dmblypWiRNe8efO4fv06hoaGHDhwgOXLlzN06FAmTJjAH3/8QZ06dUQtXCXKGktZMDEx4b333uPAgQM0bdqUw4cP06dPHxVR7BMnThAUFERkZKRoH2Zubq7iELJ161YWL17Mo0ePRLkzpaelMjqdOHEiy5cvx9TUlB9++EEUWh81ahRGRkY8ePCA4OBg/vjjDwIDA1VE4Tdu3MiiRYt4+vQp7777Lv7+/thVslBCIpFgZWWFlZUVzZs3F5crRbyVkeGNGzdISEjA0NBQpRG/Xbt2dGvfHr1585BUhQQkEti9W+F4UM3QCPEdOaKYq6sKMjJg/foCevRIKJXE0tPTyczMJD8/H0NDQ9GnT0kiSoPawlGaXC4Xo6ns7GzS0tKqVGKurI6srhJzQ0NDWrVqxaNHj7hx4wZffvklW7ZsYcOGDXz//fcMGzYMiUTCsGHDMDU15caNG5iamvLPcxuLS5cuMWbMGA4ePIibmxuBgYF88MEH3L59W0zT7Ny5k2PHjmFiYkLfvn1ZsGABCxYs4MiRI2WmhyIjIxk8eDD79+/nvffeY8WKFfTt25ebN2+K7Q579uzh6NGjGBoa0qlTJwICAhg/fnzVTgYtXkmUda5JpVL69u3LmDFjOH78OGfPnqVfv36EhobSpEkToHTjYoB27doxZ84czM3NWbVqFQMHDiQ6Olq8ifrjjz/Yu3cv27dvJzc3Fx8fH+7evcvdu3fJzMxU8cfMz88vdyzloX79+ri5uXHmzJlips8nTpzg7bffLuaZWRg1a9bk0KFDODk5ERISgqenJ+3ataNt27aAwhA6KSmJ2NhYzp07R+/evXFzcxPHt2vXLv78808OHTpEXl6eijj3X3/9xfTp0zl+/DguLi589913fPrpp9VuTWRgYEC9evVUPqcgCKSmpopkGBERwenTp6nz7798AFQpLs3IgP/97/UhvoSE6jGijYpKZ9u2bUgkEiQSidhTJZPJkEqlYpGEUs6qrHkndchJSVCvChwcHBg7diwAI0eOZOLEiSQkJCAIAkeOHCE5OVl0Snd3dwcUd37jxo2jffv24nYLFy7k3Llz4jre3t7iyTtz5kwmTZpUptC2Er/88gteXl6iMPB3333HqlWr+Oeff0ST0cmTJ4t3mn379iU8PLyajoYWrxrKOtekUikZGRlMmzYNqVRKt27d6NOnDz///DPz5s0DyjYuHjZsmPj/lClTWLBgAbdv36ZVq1YAdOjQQTSwNTIyYs+ePaxfv16MVCZPniw6iJw7d67csagDOzs7nj59Wmx5cnJyuQonXl5e4v/u7u54eHhw5swZkfgA5s+fj4GBAe7u7nh5ebFnzx6xeKVfv3506tQJoFgGZefOnYwZM0bcl5+fH5aWlkRHR2t8flEikWBpaYmlpaWK6H2BICAt4qpSKSQkVH0fJUAjxJeXp+jCrypkMin5pTCoXC4Xo7SMkvpCXlMoTSufPXtGXl5eMRPbhQsXioU0q1evLrb9iRMniI6OVrE3kslkrFmzhtOnT5OamsqZM2dIeH5CJSYmiqaaRQ00QdWY99ChQ+jr6xczxVyzZg3BwcGkpqZy/Phx7t69C8CFCxdUzEG1eD1RkmEzlH2uSSQSdHR0VBxDYmJiiIyMRCKRlGtc/M8//3Dp0iXSn5t65ubmsnz5cpycnMTzuPB59fDhQw4ePMj58+cBhV+k8ly+fv16mWMpiujo6BKNXv/991/q1atXzPhWaVBd1nkeFRXF6dOnSU5OFlt6UlJSSE1N5f79+xgYGLB06VJx/djYWO7fv49cLi92rIBiJtGNGzdWed3AwID58+dTv379UsekSbQ/d4738/OraENL9URQJUHQALZsEQQTE0FQNHFU/q95c02M7tWGg4ODEBQUJGzdulXo1KmTymuAEBUVJcTFxQkSiURISUkptv0XX3whLFiwoMz9//TTT+LzP//8U3BychIEQRBOnz4t2Nvbq6w/d+5cYejQoYIgCIKvr68wcOBA8TW5XC7Y2dkJp06dUhl7Sdtq8fqi6PeqRFnnWkhIiFCrVi1BJpOJywYPHizMnTtXEARBGDlypDBz5kzxtVOnTonnXkhIiGBraytcvXpV3N7CwkIcQ0nnlaOjo3DkyBHx+YYNG1T2V9ZYisLd3V3YuHGjyrKHDx8KRkZGwsGDB4uNISgoSDA0NBRiYmJK3F9OTo5gZGQk7N27V8jLyxMEQRD69esnfv5Tp04JOjo6QkZGhrjNoEGDBF9f3xKPVdFlY8aMEaZOnSq+lpGRIejq6gr3798vcTwvBAEBgmBqWnUSaNZMI8PTSF15p05VN6LV1wc1PSrfONSpUwdPT08mTpxISkoK+fn5Yj5/7Nix+Pv7c/78eQRBIDMzk8OHD4t3zgDr1q3j0aNHPH36lIULF/LJc9OrWrVqkZycTFpaWonvO2jQIA4fPszJkyfJz89n2bJlGBgY0LFjR81/aC1eKvLz88nJyRH/CgoKyjzX2rdvj4mJCYsXLyY/P5/Tp09z8OBBPv3003LfKz09HV1dXWxtbSkoKMDX15dn5Vh5Dxo0CD8/P1JSUnj06BFrCvVCVWUsWVlZBAcH069fP95++2169+5dbJ3333+fHj168NFHHxEWFkZBQQHp6en4+/uzZcsW8vIUnoBK54UjR45w/PjxYvuZO3cueXl5nDlzhkOHDjFw4MByxwcwZMgQtm7dSnh4OLm5ucyYMYP27du/3DaKjh2rXt2opwfl+C1WFhohvsaN4XkqvtKQSmHy5OoZz38RO3bsQE9Pj6ZNm1KzZk1WrlwJgJubGxs3bsTb2xtLS0saNWpEQECAyrZDhgzBw8MDJycnnJycmDVrFgBNmzZl8ODBODk5YWFhQVxcnMp2TZo0ITAwkEmTJmFjY8PBgwc5ePCgWNiixX8XvXv3xsjISPybN29emeeavr4+Bw4c4MiRI9jY2DBx4kS2b9+ulvlxz5498fT0pHHjxjg4OGBoaFhm4QgoSMPBwYEGDRrg4eHB8OHDxdcqMxZvb2/MzMyoVasWX3/9Nf379+fo0aOltizt27eP3r1788knn2Bubk6LFi0IDQ3l/fffx8zMjNWrVzNo0CAsLS3ZtWtXsYrS2rVrY2lpiZ2dHUOHDsXf319to+ju3bszf/58+vfvT506dbh7965YJPTS4OysMOOrCnR0NEYCGmtg//13hQNvZaff3N3h9OlqHZIWvJ7NyFpo8V+GplVmXhr++AOGDas8Cbz7rsKfSAPQmIRG374KQ9nKBAPGxoq+RS200EILLV5TeHlBo0aVJ4FCxT7VDY0Rn64unDgBtWtX7HMbGSka9tu109TItNBCCy200DiUJGBnV3ESCAiA520ymoDGbYmSkxV+e7duKXRKS3s3ExPF42+/aYtatNBCCy3+M3j6FDw9FQLO6pDAvn0K0tAgXogfnyAoUrWLFytuAAwNFcskEkXhj60tfP89DB0KZmaaHo0WWmihhRYvFEoSWLIEgoL+jwRA0QJgawtTp8Lw4S+EBF6YA7sS8fFw/brChd3ISGG51KqVggS10EILLbT4jyMhAa5de6kk8MKJTwsttNBCCy1eJrTGaFpooYUWWrxR0BKfFlpooYUWbxS0xKeFFlpoocUbBS3xaaGFFlpo8UZBS3xaaKGFFlq8UdASnxZaaKGFFm8UtMSnhRZaaKHFGwUt8WmhhRZaaPFGQUt8WmihhRZavFHQEp8WWmihhRZvFP4/vHpI+EtVvbEAAAAASUVORK5CYII=\n", @@ -771,7 +754,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -800,7 +783,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 43, "metadata": { "scrolled": true }, @@ -808,36 +791,36 @@ { "data": { "text/plain": [ - "0.55086" + "0.551" ] }, - "execution_count": 44, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(bimodularity(biadjacency,labels,feature_labels),5)" + "np.round(bimodularity(biadjacency,labels,feature_labels),3)" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.57" + "0.573" ] }, - "execution_count": 41, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(bimodularity(biadjacency,labels2,feature_labels2),2)" + "np.round(bimodularity(biadjacency,labels2,feature_labels2),3)" ] }, { @@ -848,7 +831,7 @@ { "data": { "text/plain": [ - "0.54759" + "0.548" ] }, "execution_count": 45, @@ -857,27 +840,27 @@ } ], "source": [ - "np.round(modularity(adjacency,np.append(labels, feature_labels)),5)" + "np.round(modularity(adjacency,np.append(labels, feature_labels)),3)" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.57" + "0.569" ] }, - "execution_count": 43, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(modularity(adjacency,np.append(labels2, feature_labels2)),2)" + "np.round(modularity(adjacency,np.append(labels2, feature_labels2)),3)" ] } ], From f0879c6fc9c2f9d9cab1242e4bb5bca567cbb1f2 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Fri, 12 Jul 2019 13:37:33 +0200 Subject: [PATCH 45/92] Doc update for toy graphs --- docs/reference/toy_graphs.rst | 19 +++++++++++++++++++ sknetwork/toy_graphs/graph_data.py | 20 ++++++++++---------- 2 files changed, 29 insertions(+), 10 deletions(-) diff --git a/docs/reference/toy_graphs.rst b/docs/reference/toy_graphs.rst index fa3ec06d4..02d98ca46 100644 --- a/docs/reference/toy_graphs.rst +++ b/docs/reference/toy_graphs.rst @@ -5,10 +5,29 @@ Toy graphs .. currentmodule:: sknetwork +Undirected graphs +================= + .. autofunction:: sknetwork.toy_graphs.bow_tie_graph .. autofunction:: sknetwork.toy_graphs.house_graph .. autofunction:: sknetwork.toy_graphs.karate_club_graph +.. autofunction:: sknetwork.toy_graphs.miserables_graph + +Directed graphs +=============== + +.. autofunction:: sknetwork.toy_graphs.painters_graph + +.. autofunction:: sknetwork.toy_graphs.rock_paper_scissors_graph + +Bipartite graphs +================ + +.. autofunction:: sknetwork.toy_graphs.movie_actor_graph + .. autofunction:: sknetwork.toy_graphs.star_wars_villains_graph + + diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index 0047af109..fc991dad8 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -13,14 +13,14 @@ def miserables_graph(return_labels=False): """ - Co-occurrence adjacency of the characters in Les Miserables (by Victor Hugo). + Co-occurrence graph of the characters in Les Miserables (by Victor Hugo). 77 nodes, 508 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. labels: dict, optional The names of the characters corresponding to the nodes in the adjacency. """ @@ -192,14 +192,14 @@ def bow_tie_graph(): def house_graph(): """ - House adjacency + House graph 5 nodes, 6 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. """ row = np.array([0, 0, 1, 1, 2, 3]) col = np.array([1, 4, 2, 4, 3, 4]) @@ -218,7 +218,7 @@ def karate_club_graph(): Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. """ row = np.array( [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, @@ -238,14 +238,14 @@ def karate_club_graph(): def rock_paper_scissors_graph(): """ - A toy directed cycle adjacency from Rock Paper Scissors victory rule. + A toy directed cycle graph from Rock Paper Scissors victory rule. 3 nodes, 3 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. """ @@ -254,7 +254,7 @@ def rock_paper_scissors_graph(): def star_wars_villains_graph(return_labels: bool = False): """ - Bipartite adjacency connecting some Star Wars villains to the movies in which they appear.\n + Bipartite graph connecting some Star Wars villains to the movies in which they appear.\n 7 nodes (4 villains, 3 movies), 8 edges Parameters @@ -265,7 +265,7 @@ def star_wars_villains_graph(return_labels: bool = False): Returns ------- biadjacency: sparse.csr_matrix - Biadjacency matrix of the adjacency. + Biadjacency matrix of the graph. """ row = np.array([0, 0, 1, 2, 2, 2, 3, 3]) col = np.array([0, 2, 0, 0, 1, 2, 1, 2]) @@ -281,7 +281,7 @@ def star_wars_villains_graph(return_labels: bool = False): def movie_actor_graph(return_labels: bool = False): """ - Bipartite adjacency connecting movies to some actors starring in them.\n + Bipartite graph connecting movies to some actors starring in them.\n 31 nodes (15 movies, 16 actors), 41 edges Parameters From 64d76b912486b82a5cea2bb28b283256d2856a8b Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 14:12:57 +0200 Subject: [PATCH 46/92] Sorted clusters optional --- sknetwork/clustering/bilouvain.py | 9 +++++++-- sknetwork/clustering/louvain.py | 7 +++++-- 2 files changed, 12 insertions(+), 4 deletions(-) diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index efe562b11..081615bfc 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -165,7 +165,8 @@ def __init__(self, resolution: float = 1, tol: float = 1e-3, agg_tol: float = 1e self.n_clusters_ = None def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] = 'degree', - feature_weights: Union['str', np.ndarray] = 'degree', force_undirected: bool = False): + feature_weights: Union['str', np.ndarray] = 'degree', force_undirected: bool = False, + sorted_cluster: bool = True): """ Alternates local optimization and aggregation until convergence. @@ -179,6 +180,8 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] Probabilities for the features in the null model. ``'degree'``, ``'uniform'`` or custom weights. force_undirected: If True, maximizes the modularity of the undirected adjacency instead of the bimodularity. + sorted_cluster: + If True, sort labels in decreasing order of cluster size. Returns ------- @@ -222,7 +225,9 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] self.n_clusters_ = louvain.n_clusters_ self.iteration_count_ = iteration_count - labels = reindex_clusters(membership.indices) + labels = membership.indices + if sorted_cluster: + labels = reindex_clusters(labels) self.labels_ = labels[:n_samp] self.feature_labels_ = labels[n_samp:] self.aggregate_graph_ = louvain.aggregate_graph_ * biadjacency.data.sum() diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index e198c5dd0..9804da743 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -461,7 +461,7 @@ def __init__(self, algorithm: Union[str, Optimizer] = 'default', resolution: flo self.shuffle_nodes = shuffle_nodes def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', - feature_weights: Union[None, str, np.ndarray] = None) -> 'Louvain': + feature_weights: Union[None, str, np.ndarray] = None, sorted_cluster: bool = True) -> 'Louvain': """ Clustering using chosen Optimizer. @@ -474,6 +474,8 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd feature_weights : Probabilities for feature sampling in the null model. ``'degree'``, ``'uniform'`` or custom weights, only useful for directed modularity optimization. + sorted_cluster : + If True, sort labels in decreasing order of cluster size. Returns ------- @@ -523,6 +525,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd reverse[nodes] = np.arange(nodes.size) self.labels_ = self.labels_[reverse] self.n_clusters_ = len(set(self.labels_)) - self.labels_ = reindex_clusters(self.labels_) + if sorted_cluster: + self.labels_ = reindex_clusters(self.labels_) self.aggregate_graph_ = graph.norm_adjacency * adjacency.data.sum() return self From d056891bb091ef17395546c0b17c4c3603aa4557 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 14:41:23 +0200 Subject: [PATCH 47/92] Notebook hierarchical --- docs/reference/hierarchy.rst | 12 +- docs/tutorials/hierarchical_clustering.ipynb | 315 +++++++++++++++++++ sknetwork/hierarchy/__init__.py | 6 +- sknetwork/hierarchy/cuts.py | 19 +- sknetwork/hierarchy/metrics.py | 11 +- sknetwork/hierarchy/tests/test_paris.py | 8 +- 6 files changed, 343 insertions(+), 28 deletions(-) create mode 100644 docs/tutorials/hierarchical_clustering.ipynb diff --git a/docs/reference/hierarchy.rst b/docs/reference/hierarchy.rst index 2018a0017..7eae16ea1 100644 --- a/docs/reference/hierarchy.rst +++ b/docs/reference/hierarchy.rst @@ -12,8 +12,8 @@ clsuters with indices ``Z[i, 0]`` and ``Z[i, 1]`` which are at distance ``Z[i, 2 which contains ``Z[i, 3]`` samples. -Paris ------ +Paris algorithm +--------------- .. automodule:: sknetwork.hierarchy .. autosummary:: :toctree: generated/ @@ -22,11 +22,9 @@ Paris :members: -Utils ------ -.. autofunction:: sknetwork.hierarchy.reorder_dendrogram - -.. autofunction:: sknetwork.hierarchy.cut +Cuts of the dendrogram +---------------------- +.. autofunction:: sknetwork.hierarchy.straight_cut diff --git a/docs/tutorials/hierarchical_clustering.ipynb b/docs/tutorials/hierarchical_clustering.ipynb new file mode 100644 index 000000000..bd3e25832 --- /dev/null +++ b/docs/tutorials/hierarchical_clustering.ipynb @@ -0,0 +1,315 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "# Hierarchical clustering" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This notebook illustrates the [hierarchical clustering](https://scikit-network.readthedocs.io/en/latest/reference/hierarchy.html) of graphs." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Loading**" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from sknetwork.toy_graphs import karate_club_graph" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "adjacency = karate_club_graph()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Clustering**" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from sknetwork.hierarchy import Paris" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "paris = Paris()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Paris(engine='numba')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "paris.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "dendrogram = paris.dendrogram_" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.cluster.hierarchy import dendrogram as show_dendrogram" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "show_ = show_dendrogram(dendrogram)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Cuts of the dendrogram**" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "from sknetwork.hierarchy import straight_cut" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 0 1 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0]\n" + ] + } + ], + "source": [ + "# default = 2 clusters\n", + "labels = straight_cut(dendrogram)\n", + "print(labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1] [17 17]\n" + ] + } + ], + "source": [ + "unique_labels, counts = np.unique(labels, return_counts = True)\n", + "print(unique_labels, counts)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 0 0 0 3 3 3 0 1 0 3 0 0 0 1 1 3 0 1 0 1 0 1 2 2 2 2 2 2 2 1 2 1 1]\n" + ] + } + ], + "source": [ + "labels = straight_cut(dendrogram, n_clusters = 4)\n", + "print(labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1 2 3] [12 9 8 5]\n" + ] + } + ], + "source": [ + "unique_labels, counts = np.unique(labels, return_counts = True)\n", + "print(unique_labels, counts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Metrics**" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from sknetwork.hierarchy import dasgupta_cost, tree_sampling_divergence" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.33333333333333326" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dasgupta_cost(adjacency, dendrogram)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.6514659468650328" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tree_sampling_divergence(adjacency, dendrogram)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/sknetwork/hierarchy/__init__.py b/sknetwork/hierarchy/__init__.py index fd1f0cd59..7e81be413 100644 --- a/sknetwork/hierarchy/__init__.py +++ b/sknetwork/hierarchy/__init__.py @@ -1,3 +1,3 @@ -from sknetwork.hierarchy.paris import * -from sknetwork.hierarchy.metrics import * -from sknetwork.hierarchy.cuts import * +from sknetwork.hierarchy.paris import Paris, AggregateGraph +from sknetwork.hierarchy.metrics import dasgupta_cost, tree_sampling_divergence +from sknetwork.hierarchy.cuts import straight_cut diff --git a/sknetwork/hierarchy/cuts.py b/sknetwork/hierarchy/cuts.py index 4bffbf318..37a1c31d4 100644 --- a/sknetwork/hierarchy/cuts.py +++ b/sknetwork/hierarchy/cuts.py @@ -7,10 +7,10 @@ @author: Quentin Lutz """ -from sknetwork.utils.checks import * +import numpy as np -def cut(dendrogram: np.ndarray, n_clusters: int = 2, sorted_clusters: bool = False) -> np.ndarray: +def straight_cut(dendrogram: np.ndarray, n_clusters: int = 2, sorted_clusters: bool = True) -> np.ndarray: """ Extract the clustering with given number of clusters from the dendrogram. @@ -19,7 +19,7 @@ def cut(dendrogram: np.ndarray, n_clusters: int = 2, sorted_clusters: bool = Fal dendrogram: Dendrogram n_clusters : - Number of clusters. + Number of cluster. sorted_clusters : If True, sort labels in decreasing order of cluster size. @@ -33,13 +33,14 @@ def cut(dendrogram: np.ndarray, n_clusters: int = 2, sorted_clusters: bool = Fal raise ValueError("The number of clusters must be between 1 and the number of nodes.") labels = np.zeros(n_nodes, dtype=int) - clusters = {node: [node] for node in range(n_nodes)} + cluster = {node: [node] for node in range(n_nodes)} for t in range(n_nodes - n_clusters): - clusters[n_nodes + t] = clusters.pop(int(dendrogram[t][0])) + \ - clusters.pop(int(dendrogram[t][1])) - clusters = list(clusters.values()) + cluster[n_nodes + t] = cluster.pop(int(dendrogram[t][0])) + \ + cluster.pop(int(dendrogram[t][1])) + + clusters = list(cluster.values()) if sorted_clusters: clusters = sorted(clusters, key=len, reverse=True) - for label, cluster in enumerate(clusters): - labels[cluster] = label + for label, index in enumerate(clusters): + labels[index] = label return labels diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index 0b743d935..b37c6f6fd 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -11,7 +11,7 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, weights: Union[str, np.ndarray] = 'uniform', normalized: bool = True) -> float: - """Dasgupta's cost of a hierarchy (cost metric) + """Dasgupta's cost of a hierarchy (cost metric). Parameters ---------- @@ -76,7 +76,8 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, weights: Union[str, np.ndarray] = 'degree', normalized: bool = True) -> float: - """Tree sampling divergence of a hierarchy (quality metric) + """ + Tree sampling divergence of a hierarchy (quality metric). Parameters ---------- @@ -97,9 +98,9 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra References ---------- - T. Bonald, B. Charpentier (2018). Learning Graph Representations by Dendrograms. - https://arxiv.org/abs/1807.05087 - + Charpentier, B. & Bonald, T. (2019). Tree Sampling Divergence: An Information-Theoretic Metric for + Hierarchical Graph Clustering. Proceedings of IJCAI. + https://hal.telecom-paristech.fr/hal-02144394/document """ adjacency = check_format(adjacency) diff --git a/sknetwork/hierarchy/tests/test_paris.py b/sknetwork/hierarchy/tests/test_paris.py index 948aadf11..d98ff463e 100644 --- a/sknetwork/hierarchy/tests/test_paris.py +++ b/sknetwork/hierarchy/tests/test_paris.py @@ -9,7 +9,7 @@ import unittest import numpy as np from scipy.sparse import identity -from sknetwork.hierarchy import Paris, cut +from sknetwork.hierarchy import Paris, straight_cut from sknetwork.toy_graphs import house_graph, karate_club_graph from sknetwork import is_numba_available @@ -41,15 +41,15 @@ def test_house_graph(self): if is_numba_available: self.paris_numba.fit(self.house_graph) self.assertEqual(self.paris_numba.dendrogram_.shape[0], 4) - labels = cut(self.paris_numba.dendrogram_, sorted_clusters=True) + labels = straight_cut(self.paris_numba.dendrogram_, sorted_clusters=True) self.assertTrue(np.array_equal(labels, np.array([0, 0, 1, 1, 0]))) self.paris_python.fit(self.house_graph) self.assertEqual(self.paris_python.dendrogram_.shape[0], 4) - labels = cut(self.paris_python.dendrogram_, sorted_clusters=True) + labels = straight_cut(self.paris_python.dendrogram_, sorted_clusters=True) self.assertTrue(np.array_equal(labels, np.array([0, 0, 1, 1, 0]))) def test_karate_club_graph(self): self.paris_python.fit(self.karate_club_graph) self.assertEqual(self.paris_python.dendrogram_.shape[0], 33) - labels = cut(self.paris_python.dendrogram_) + labels = straight_cut(self.paris_python.dendrogram_) self.assertEqual(np.max(labels), 1) From 2670c4bdaf7085fdb2b471af6894379cfa6286d0 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 15:07:02 +0200 Subject: [PATCH 48/92] Doc --- docs/index.rst | 8 +++++--- sknetwork/embedding/spectral.py | 4 ++-- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/docs/index.rst b/docs/index.rst index d887d98f4..e1d4d7469 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -5,7 +5,7 @@ Welcome to scikit-network's documentation! .. toctree:: :maxdepth: 2 - :caption: Installation & Reference: + :caption: Installation & Reference installation reference/index @@ -13,17 +13,19 @@ Welcome to scikit-network's documentation! .. toctree:: :maxdepth: 2 - :caption: Tutorials: + :caption: Tutorials tutorials/clustering_Louvain + tutorials/hierarchical_clustering tutorials/pagerank .. toctree:: :maxdepth: 1 - :caption: About: + :caption: About contributing authors history genindex + diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 2b3fe2345..847ac84a3 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -115,9 +115,9 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray]) -> 'Spectral': if self.regularization is None and not is_connected(adjacency): if self.energy_scaling: raise ValueError('energy_scaling without low-rank regularization' - 'is not compatible with a disconnected adjacency') + 'is not compatible with a disconnected graph.') else: - raise Warning("The adjacency is not connected and low-rank regularization is not active." + raise Warning("The graph is not connected and low-rank regularization is not active." "This can cause errors in the computation of the embedding.") if self.regularization: adjacency = SparseLR(adjacency, [(self.regularization * np.ones(n), np.ones(p))]) From d9ec76cdc7e5b0f9c86c9275c21eef6b771451a0 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Fri, 12 Jul 2019 15:51:06 +0200 Subject: [PATCH 49/92] Typos --- sknetwork/embedding/spectral.py | 6 ++++-- sknetwork/hierarchy/metrics.py | 19 ++++++++++--------- sknetwork/hierarchy/paris.py | 14 +++++++------- sknetwork/toy_graphs/graph_data.py | 4 ++-- 4 files changed, 23 insertions(+), 20 deletions(-) diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 847ac84a3..6dd12e335 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -19,7 +19,8 @@ class Spectral(Algorithm): - """Weighted spectral embedding of a adjacency. + """ + Weighted spectral embedding of a graph. Parameters ---------- @@ -64,7 +65,8 @@ class Spectral(Algorithm): References ---------- - * Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, M. Belkin, P. Niyogi + * Belkin, M. & Niyogi, P. (2003). Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, + Neural computation. """ def __init__(self, embedding_dimension: int = 2, normalized_laplacian=True, diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index b37c6f6fd..8e7c4ec82 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -11,18 +11,19 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, weights: Union[str, np.ndarray] = 'uniform', normalized: bool = True) -> float: - """Dasgupta's cost of a hierarchy (cost metric). + """ + Dasgupta's cost of a hierarchy (cost metric). Parameters ---------- adjacency : - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster weights : Vector of node weights. Default = 'uniform', weight 1 for each node. normalized: - If true, normalized by the number of nodes of the adjacency. + If true, normalized by the number of nodes of the graph. Returns ------- @@ -41,9 +42,9 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, if not is_square(adjacency): raise ValueError('The adjacency matrix must be square.') if adjacency.shape[0] <= 1: - raise ValueError('The adjacency must contain at least two nodes.') + raise ValueError('The graph must contain at least two nodes.') if not is_symmetric(adjacency): - raise ValueError('The adjacency must be undirected. Please fit a symmetric adjacency matrix.') + raise ValueError('The graph must be undirected. Please enter a symmetric adjacency matrix.') node_probs = check_probs(weights, adjacency, positive_entries=True) @@ -82,13 +83,13 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra Parameters ---------- adjacency : - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster weights : Vector of node weights. Default = 'degree', weight of each node in the adjacency. normalized: - If true, normalized by the mutual information of the adjacency. + If true, normalized by the mutual information of the graph. Returns ------- @@ -107,9 +108,9 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra if not is_square(adjacency): raise ValueError('The adjacency matrix must be square.') if adjacency.shape[0] <= 1: - raise ValueError('The adjacency must contain at least two nodes.') + raise ValueError('The graph must contain at least two nodes.') if not is_symmetric(adjacency): - raise ValueError('The adjacency must be undirected. Please fit a symmetric adjacency matrix.') + raise ValueError('The graph must be undirected. Please enter a symmetric adjacency matrix.') node_probs = check_probs(weights, adjacency, positive_entries=True) diff --git a/sknetwork/hierarchy/paris.py b/sknetwork/hierarchy/paris.py index 18310bbea..1cd26aa8d 100644 --- a/sknetwork/hierarchy/paris.py +++ b/sknetwork/hierarchy/paris.py @@ -14,12 +14,12 @@ class AggregateGraph: """ - A class of adjacency suitable for aggregation. Each node represents a cluster. + A class of graph suitable for aggregation. Each node represents a cluster. Parameters ---------- adjacency : - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. node_probs : Probability distribution of node weights. @@ -61,7 +61,7 @@ def merge(self, node1: int, node2: int) -> 'AggregateGraph': Returns ------- self: :class:`AggregateGraph` - The aggregated adjacency (without self-loop). + The aggregate grate (without self-loop). """ new_node = self.next_cluster self.graph[new_node] = {} @@ -277,7 +277,7 @@ class Paris(Algorithm): The similarity between clusters i,j is :math:`\\dfrac{A_{ij}}{w_i w_j}` where - * :math:`A_{ij}` is the weight of edge i,j in the aggregate adjacency + * :math:`A_{ij}` is the weight of edge i,j in the aggregate graph * :math:`w_{i}` is the weight of cluster i @@ -331,7 +331,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd Parameters ---------- adjacency : - Adjacency matrix of the adjacency to cluster. + Adjacency matrix of the graph to cluster. weights : Node weights used in the linkage. reorder : @@ -346,9 +346,9 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd if not is_square(adjacency): raise ValueError('The adjacency matrix must be square.') if adjacency.shape[0] <= 1: - raise ValueError('The adjacency must contain at least two nodes.') + raise ValueError('The graph must contain at least two nodes.') if not is_symmetric(adjacency): - raise ValueError('The adjacency must be undirected. Please fit a symmetric adjacency matrix.') + raise ValueError('The graph must be undirected. Please fit a symmetric adjacency matrix.') node_probs = check_probs(weights, adjacency, positive_entries=True) diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index fc991dad8..ea8c8b725 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -175,14 +175,14 @@ def miserables_graph(return_labels=False): def bow_tie_graph(): """ - Bow tie adjacency + Bow tie graph 5 nodes, 6 edges Returns ------- adjacency: sparse.csr_matrix - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. """ row = np.array([0, 0, 0, 0, 1, 1, 2, 2, 3, 3, 4, 4]) col = np.array([1, 2, 3, 4, 0, 2, 0, 1, 0, 4, 0, 3]) From 0742985f3751c3c5bf6895f19edd40ba192d51e9 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 10:34:50 +0200 Subject: [PATCH 50/92] Doc (adjacency vs graph) --- sknetwork/clustering/metrics.py | 38 +++++++++++++++++----------- sknetwork/utils/adjacency_formats.py | 13 +++++----- sknetwork/utils/preprocessing.py | 16 +++++++----- 3 files changed, 39 insertions(+), 28 deletions(-) diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index 7cb86e20c..bb06e226f 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -10,7 +10,7 @@ from typing import Union -def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union[dict, np.ndarray], +def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: Union[dict, np.ndarray], resolution: float = 1) -> float: """ Compute the modularity of a clustering (node partition). @@ -31,12 +31,12 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union Parameters ---------- - partition : dict or np.ndarray - The partition of the nodes. The keys of the dictionary correspond to the nodes and the values to the labels. - adjacency : scipy.csr_matrix or np.ndarray - The adjacency matrix of the graph (sparse or dense). - resolution : float, optional (default=1.) - The resolution parameter. + adjacency: + Adjacency matrix of the graph. + labels: + Labels of the nodes. + resolution: + Resolution parameter. Returns ------- @@ -59,12 +59,12 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union out_probs = norm_adj.dot(np.ones(n)) in_probs = norm_adj.T.dot(np.ones(n)) - if type(partition) == dict: - labels = np.array([partition[i] for i in range(n)]) - elif type(partition) == np.ndarray: - labels = partition.copy() + if type(labels) == dict: + labels = np.array([labels[i] for i in range(n)]) + elif type(labels) == np.ndarray: + labels = labels.copy() else: - raise TypeError('The partition must be a dictionary or a NumPy array.') + raise TypeError('The labels must be a dictionary or a NumPy array.') row = np.arange(n) col = labels @@ -76,7 +76,7 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], partition: Union return float(fit - resolution * diversity) -def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feature_labels: np.ndarray, +def bimodularity(biadjacency: Union[sparse.csr_matrix, np.ndarray], sample_labels: np.ndarray, feature_labels: np.ndarray, resolution: float = 1) -> float: """ Modularity for bipartite graphs: @@ -95,9 +95,9 @@ def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feat Parameters ---------- biadjacency: - Matrix of shape n x p. + Biadjacency matrix of the graph (shape n x p). sample_labels: - Cluster of each sample, vector of size n. + Label of each sample, vector of size n. feature_labels: Cluster of each feature, vector of size p. resolution: @@ -114,6 +114,14 @@ def bimodularity(biadjacency: sparse.csr_matrix, sample_labels: np.ndarray, feat sample_weights = biadjacency.dot(one_features) / total_weight features_weights = biadjacency.T.dot(one_samples) / total_weight + if type(labels) == dict: + labels = np.array([labels[i] for i in range(n)]) + elif type(labels) == np.ndarray: + labels = labels.copy() + else: + raise TypeError('The labels must be a dictionary or a NumPy array.') + + _, sample_labels = np.unique(sample_labels, return_inverse=True) _, feature_labels = np.unique(feature_labels, return_inverse=True) n_clusters = max(len(set(sample_labels)), len(set(feature_labels))) diff --git a/sknetwork/utils/adjacency_formats.py b/sknetwork/utils/adjacency_formats.py index ee6e5e1bc..1bed9cd9d 100644 --- a/sknetwork/utils/adjacency_formats.py +++ b/sknetwork/utils/adjacency_formats.py @@ -14,9 +14,9 @@ def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], weight_sum: bool = True) -> Union[sparse.csr_matrix, SparseLR]: """ - Returns the adjacency matrix of the undirected adjacency. + Returns the adjacency matrix of the undirected graph associated with some directed graph. - The new matrix becomes either: + The new adjacency matrix becomes either: :math:`A+A^T` (default) @@ -55,18 +55,19 @@ def directed2undirected(adjacency: Union[sparse.csr_matrix, SparseLR], def bipartite2directed(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Union[sparse.csr_matrix, SparseLR]: """ - Returns the adjacency matrix of a biadjacency adjacency seen as a directed adjacency (with edges from one part to the other). + Returns the adjacency matrix of the directed graph associated with a bipartite graph + (with edges from one part to the other). The returned adjacency matrix is: :math:`A = \\begin{bmatrix} 0 & B \\\\ 0 & 0 \\end{bmatrix}` - where :math:`B` is the biadjacency matrix of the biadjacency adjacency. + where :math:`B` is the biadjacency matrix. Parameters ---------- biadjacency: - Biadjacency matrix of the biadjacency adjacency. + Biadjacency matrix of the graph. Returns ------- @@ -96,7 +97,7 @@ def bipartite2undirected(biadjacency: Union[sparse.csr_matrix, SparseLR]) -> Uni Parameters ---------- biadjacency: - Biadjacency matrix of the biadjacency adjacency. + Biadjacency matrix of the graph. Returns ------- diff --git a/sknetwork/utils/preprocessing.py b/sknetwork/utils/preprocessing.py index 7250c1bb2..14d732012 100644 --- a/sknetwork/utils/preprocessing.py +++ b/sknetwork/utils/preprocessing.py @@ -14,11 +14,13 @@ def is_connected(adjacency: sparse.csr_matrix) -> bool: - """Check whether a adjacency is weakly connected. Bipartite graphs are treated as undirected ones. + """ + Check whether a graph is weakly connected. Bipartite graphs are treated as undirected ones. Parameters ---------- - adjacency + adjacency: + Adjacency matrix of the graph. Returns ------- @@ -32,22 +34,22 @@ def is_connected(adjacency: sparse.csr_matrix) -> bool: def largest_connected_component(adjacency: Union[sparse.csr_matrix, np.ndarray], return_labels: bool = False): """ - Extract largest connected component of a adjacency. Bipartite graphs are treated as undirected ones. + Extract largest connected component of a graph. Bipartite graphs are treated as undirected ones. Parameters ---------- adjacency - Adjacency or biadjacency matrix of the adjacency. + Adjacency or biadjacency matrix of the graph. return_labels: bool - Whether to return the indices of the new nodes in the original adjacency. + Whether to return the indices of the new nodes in the original graph. Returns ------- new_adjacency: sparse.csr_matrix Adjacency or biadjacency matrix of the largest connected component. indices: array or tuple of array - Indices of the nodes in the original adjacency. For biadjacency graphes, ``indices[0]`` corresponds to the lines and - ``indices[1]`` to the columns. + Indices of the nodes in the original graph. For biadjacency matrices, + ``indices[0]`` corresponds to the rows and ``indices[1]`` to the columns. """ adjacency = check_format(adjacency) From 4c623fc924143dd0d53bbe377073be130a2f37ef Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 11:19:18 +0200 Subject: [PATCH 51/92] Format adjacency / labels --- sknetwork/clustering/metrics.py | 133 ++++++++++++++------------------ 1 file changed, 56 insertions(+), 77 deletions(-) diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index bb06e226f..f074e09c1 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -8,9 +8,10 @@ import numpy as np from scipy import sparse from typing import Union +from sknetwork.utils.checks import check_format, is_square -def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: Union[dict, np.ndarray], +def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: np.ndarray, resolution: float = 1) -> float: """ Compute the modularity of a clustering (node partition). @@ -36,7 +37,7 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: Union[di labels: Labels of the nodes. resolution: - Resolution parameter. + Resolution parameter (default = 1). Returns ------- @@ -44,27 +45,18 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: Union[di The modularity. """ - if type(adjacency) == sparse.csr_matrix: - adj_matrix = adjacency - elif sparse.isspmatrix(adjacency) or type(adjacency) == np.ndarray: - adj_matrix = sparse.csr_matrix(adjacency) - else: - raise TypeError( - "The argument must be a NumPy array or a SciPy Sparse matrix.") + adjacency = check_format(adjacency) - n, p = adj_matrix.shape - if n != p: + if not is_square(adjacency): raise ValueError('The adjacency must be a square matrix.') - norm_adj = adj_matrix / adj_matrix.data.sum() + + n = adjacency.shape[0] + norm_adj = adjacency / adjacency.data.sum() out_probs = norm_adj.dot(np.ones(n)) in_probs = norm_adj.T.dot(np.ones(n)) - if type(labels) == dict: - labels = np.array([labels[i] for i in range(n)]) - elif type(labels) == np.ndarray: - labels = labels.copy() - else: - raise TypeError('The labels must be a dictionary or a NumPy array.') + if len(labels) != n: + raise ValueError('Dimension mismatch.') row = np.arange(n) col = labels @@ -76,8 +68,8 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: Union[di return float(fit - resolution * diversity) -def bimodularity(biadjacency: Union[sparse.csr_matrix, np.ndarray], sample_labels: np.ndarray, feature_labels: np.ndarray, - resolution: float = 1) -> float: +def bimodularity(biadjacency: Union[sparse.csr_matrix, np.ndarray], sample_labels: np.ndarray, + feature_labels: np.ndarray, resolution: float = 1) -> float: """ Modularity for bipartite graphs: @@ -108,28 +100,24 @@ def bimodularity(biadjacency: Union[sparse.csr_matrix, np.ndarray], sample_label bimodularity: Bimodularity of the clustering. """ - n_samples, n_features = biadjacency.shape - one_samples, one_features = np.ones(n_samples), np.ones(n_features) - total_weight: float = biadjacency.data.sum() - sample_weights = biadjacency.dot(one_features) / total_weight - features_weights = biadjacency.T.dot(one_samples) / total_weight + biadjacency = check_format(biadjacency) - if type(labels) == dict: - labels = np.array([labels[i] for i in range(n)]) - elif type(labels) == np.ndarray: - labels = labels.copy() - else: - raise TypeError('The labels must be a dictionary or a NumPy array.') + n, p = biadjacency.shape + total_weight: float = biadjacency.data.sum() + sample_weights = biadjacency.dot(np.ones(p)) / total_weight + features_weights = biadjacency.T.dot(np.ones(n)) / total_weight + if len(sample_labels) != n or len(feature_labels) != p: + raise ValueError('Dimension mismatch.') - _, sample_labels = np.unique(sample_labels, return_inverse=True) - _, feature_labels = np.unique(feature_labels, return_inverse=True) - n_clusters = max(len(set(sample_labels)), len(set(feature_labels))) + _, unique_sample_labels = np.unique(sample_labels, return_inverse=True) + _, unique_feature_labels = np.unique(feature_labels, return_inverse=True) + n_clusters = max(len(set(unique_sample_labels)), len(set(unique_feature_labels))) - sample_membership = sparse.csr_matrix((one_samples, (np.arange(n_samples), sample_labels)), - shape=(n_samples, n_clusters)) - feature_membership = sparse.csc_matrix((one_features, (np.arange(n_features), feature_labels)), - shape=(n_features, n_clusters)) + sample_membership = sparse.csr_matrix((np.ones(n), (np.arange(n), unique_sample_labels)), + shape=(n, n_clusters)) + feature_membership = sparse.csc_matrix((np.ones(p), (np.arange(p), unique_feature_labels)), + shape=(p, n_clusters)) fit: float = sample_membership.multiply(biadjacency.dot(feature_membership)).data.sum() / total_weight div: float = (sample_membership.T.dot(sample_weights)).dot(feature_membership.T.dot(features_weights)) @@ -137,9 +125,10 @@ def bimodularity(biadjacency: Union[sparse.csr_matrix, np.ndarray], sample_label return fit - resolution * div -def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: +def cocitation_modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: np.ndarray, + resolution: float = 1) -> float: """ - Computes the modularity of a clustering on the normalized cocitation adjacency matrix. + Computes the modularity of a clustering in the normalized cocitation graph. Does not require the explicit computation of the normalized cocitation adjacency matrix. :math:`Q = \\sum_{i,j=1}^n(\\dfrac{(AF^{-1}A^T)_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2})\\delta_{c_i,c_j}` @@ -147,55 +136,45 @@ def cocitation_modularity(adjacency, partition, resolution: float = 1) -> float: where :math:`AF^{-1}A^T` is the normalized cocitation adjacency matrix,\n + :math:`F = \\diag(A^T1)` is the diagonal matrix of feature weights,\n :math:`c_j` is the cluster of node `i`,\n :math:`\\delta` is the Kronecker symbol,\n :math:`\\gamma \\ge 0` is the resolution parameter. Parameters ---------- - partition: dict or np.ndarray - The partition of the nodes. The keys of the dictionary correspond to the nodes and the values to the communities. - adjacency: scipy.csr_matrix or np.ndarray - The adjacency matrix of the adjacency (sparse or dense). - resolution: float (default=1.) - The resolution parameter. + adjacency: + Adjacency matrix of the graph. + labels: + Labels of the nodes. + resolution: + Resolution parameter (default = 1). Returns ------- modularity: float - The modularity on the normalized cocitation adjacency matrix. + Modularity of the clustering in the normalized cocitation graph. """ - if type(adjacency) == sparse.csr_matrix: - adj_matrix = adjacency - elif sparse.isspmatrix(adjacency) or type(adjacency) == np.ndarray: - adj_matrix = sparse.csr_matrix(adjacency) - else: - raise TypeError( - "The argument must be a NumPy array or a SciPy Sparse matrix.") - - n_samples, n_features = adj_matrix.shape - total_weight = adj_matrix.data.sum() - pou = adj_matrix.dot(np.ones(n_samples)) / total_weight - din = adj_matrix.T.dot(np.ones(n_features)) - - # pseudo inverse square-root in-degree matrix - dhin = sparse.diags(np.sqrt(din), shape=(n_features, n_features), format='csr') - dhin.data = 1 / dhin.data - - normalized_adjacency = (adj_matrix.dot(dhin)).T.tocsr() - - if type(partition) == dict: - labels = np.array([partition[i] for i in range(n_samples)]) - elif type(partition) == np.ndarray: - labels = partition.copy() - else: - raise TypeError('The partition must be a dictionary or a NumPy array.') - - membership = sparse.csc_matrix((np.ones(n_samples), (np.arange(n_samples), labels)), - shape=(n_samples, labels.max() + 1)) + adjacency = check_format(adjacency) + + n, p = adjacency.shape + total_weight = adjacency.data.sum() + probs = adjacency.dot(np.ones(n)) / total_weight + + feature_weights = adjacency.T.dot(np.ones(p)) + + # pseudo inverse square-root feature weight matrix + norm_diag_matrix = sparse.diags(np.sqrt(feature_weights), shape=(p, p), format='csr') + norm_diag_matrix.data = 1 / norm_diag_matrix.data + + normalized_adjacency = (adjacency.dot(norm_diag_matrix)).T.tocsr() + + if len(labels) != n: + raise ValueError('Dimension mismatch.') + + membership = sparse.csc_matrix((np.ones(n), (np.arange(n), labels)), shape=(n, labels.max() + 1)) fit = ((normalized_adjacency.dot(membership)).data ** 2).sum() / total_weight - diversity = np.linalg.norm(membership.T.dot(pou)) ** 2 + diversity = np.linalg.norm(membership.T.dot(probs)) ** 2 return float(fit - resolution * diversity) - From 007f04fa007dd2aa20ca4d97fc8fda9a0b5b3226 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 11:40:34 +0200 Subject: [PATCH 52/92] Test directed graphs --- sknetwork/clustering/louvain.py | 72 ++++++++++------------ sknetwork/clustering/metrics.py | 6 +- sknetwork/clustering/tests/test_louvain.py | 12 +++- sknetwork/toy_graphs/graph_data.py | 3 +- sknetwork/utils/checks.py | 6 +- 5 files changed, 50 insertions(+), 49 deletions(-) diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 9804da743..d35c27b5a 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -19,17 +19,17 @@ def membership_matrix(labels: np.ndarray) -> sparse.csr_matrix: """ - Builds a n x k matrix of the label assignments. + Builds a n x k matrix of the label assignments, with k the number of labels. Parameters ---------- labels: - label of each node. + Label of each node. Returns ------- membership: - binary matrix of label assignments. + Binary matrix of label assignments. """ n_nodes = len(labels) @@ -43,7 +43,7 @@ class AggregateGraph: Parameters ---------- adjacency: - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. weights: Distribution of node weights (sums to 1), used in the second term of modularity. in_weights: @@ -63,7 +63,7 @@ class AggregateGraph: def __init__(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', in_weights: Union[None, 'str', np.ndarray] = 'degree'): - self.n_nodes, self.n_features = adjacency.shape + self.n_nodes = adjacency.shape[0] self.norm_adjacency = adjacency / adjacency.data.sum() self.node_probs = check_probs(weights, adjacency) if in_weights is not None: @@ -71,45 +71,39 @@ def __init__(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] else: self.in_probs = None - def aggregate(self, membership: Union[sparse.csr_matrix, np.ndarray], - feat_membership: Union[None, sparse.csr_matrix, np.ndarray] = None): + def aggregate(self, row_membership: Union[sparse.csr_matrix, np.ndarray], + col_membership: Union[None, sparse.csr_matrix, np.ndarray] = None): """ Aggregates nodes belonging to the same cluster. Parameters ---------- - membership: - Partition of the nodes (lines of the adjacency). - feat_membership: - Partition of the columns. + row_membership: + membership matrix (rows). + col_membership: + membership matrix (columns). Returns ------- - The aggregated adjacency. + The aggregated graph. """ - if membership.shape[0] != self.n_nodes: - raise ValueError('The size of the partition must match the number of nodes.') - elif type(membership) == np.ndarray: - membership = membership_matrix(membership) - - if feat_membership is not None: - if feat_membership.shape[0] != self.n_features: - raise ValueError('The number of feature labels must match the number of columns.') - if self.in_probs is None: - raise ValueError('This adjacency does not have a in_probs attribute.') - elif type(feat_membership) == np.ndarray: - feat_membership = membership_matrix(feat_membership) - - self.norm_adjacency = membership.T.dot(self.norm_adjacency.dot(feat_membership)).tocsr() - self.in_probs = np.array(feat_membership.T.dot(self.in_probs).T) + if type(row_membership) == np.ndarray: + row_membership = membership_matrix(row_membership) + + if col_membership is not None: + if type(col_membership) == np.ndarray: + col_membership = membership_matrix(col_membership) + + self.norm_adjacency = row_membership.T.dot(self.norm_adjacency.dot(col_membership)).tocsr() + self.in_probs = np.array(col_membership.T.dot(self.in_probs).T) else: - self.norm_adjacency = membership.T.dot(self.norm_adjacency.dot(membership)).tocsr() + self.norm_adjacency = row_membership.T.dot(self.norm_adjacency.dot(row_membership)).tocsr() if self.in_probs is not None: - self.in_probs = np.array(membership.T.dot(self.in_probs).T) + self.in_probs = np.array(row_membership.T.dot(self.in_probs).T) - self.node_probs = np.array(membership.T.dot(self.node_probs).T) - self.n_nodes, self.n_features = self.norm_adjacency.shape + self.node_probs = np.array(row_membership.T.dot(self.node_probs).T) + self.n_nodes = self.norm_adjacency.shape[0] return self @@ -461,7 +455,7 @@ def __init__(self, algorithm: Union[str, Optimizer] = 'default', resolution: flo self.shuffle_nodes = shuffle_nodes def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', - feature_weights: Union[None, str, np.ndarray] = None, sorted_cluster: bool = True) -> 'Louvain': + in_weights: Union[None, str, np.ndarray] = None, sorted_cluster: bool = True) -> 'Louvain': """ Clustering using chosen Optimizer. @@ -471,7 +465,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd Adjacency matrix of the adjacency to cluster. weights : Probabilities for node sampling in the null model. ``'degree'``, ``'uniform'`` or custom weights. - feature_weights : + in_weights : Probabilities for feature sampling in the null model. ``'degree'``, ``'uniform'`` or custom weights, only useful for directed modularity optimization. sorted_cluster : @@ -481,17 +475,17 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd ------- self: :class:`Louvain` """ - adjacency = check_format(adjacency) + adj_matrix = check_format(adjacency) - if not is_square(adjacency): + if not is_square(adj_matrix): raise ValueError('The adjacency matrix must be a square matrix. See Bilouvain for rectangular matrices.') - nodes = np.arange(adjacency.shape[0]) + nodes = np.arange(adj_matrix.shape[0]) if self.shuffle_nodes: nodes = self.random_state.permutation(nodes) - adjacency = adjacency[nodes, :].tocsc()[:, nodes].tocsr() + adj_matrix = adj_matrix[nodes, :].tocsc()[:, nodes].tocsr() - graph = AggregateGraph(adjacency, weights, feature_weights) + graph = AggregateGraph(adj_matrix, weights, in_weights) membership = sparse.identity(graph.n_nodes, format='csr') increase = True @@ -527,5 +521,5 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd self.n_clusters_ = len(set(self.labels_)) if sorted_cluster: self.labels_ = reindex_clusters(self.labels_) - self.aggregate_graph_ = graph.norm_adjacency * adjacency.data.sum() + self.aggregate_graph_ = graph.norm_adjacency * adj_matrix.data.sum() return self diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index f074e09c1..af8405234 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -56,7 +56,7 @@ def modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], labels: np.ndarr in_probs = norm_adj.T.dot(np.ones(n)) if len(labels) != n: - raise ValueError('Dimension mismatch.') + raise ValueError('The number of labels must match the number of rows.') row = np.arange(n) col = labels @@ -108,7 +108,7 @@ def bimodularity(biadjacency: Union[sparse.csr_matrix, np.ndarray], sample_label features_weights = biadjacency.T.dot(np.ones(n)) / total_weight if len(sample_labels) != n or len(feature_labels) != p: - raise ValueError('Dimension mismatch.') + raise ValueError('The number of sample / feature labels must match the number of rows / columns.') _, unique_sample_labels = np.unique(sample_labels, return_inverse=True) _, unique_feature_labels = np.unique(feature_labels, return_inverse=True) @@ -171,7 +171,7 @@ def cocitation_modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], label normalized_adjacency = (adjacency.dot(norm_diag_matrix)).T.tocsr() if len(labels) != n: - raise ValueError('Dimension mismatch.') + raise ValueError('The number of labels must match the number of rows.') membership = sparse.csc_matrix((np.ones(n), (np.arange(n), labels)), shape=(n, labels.max() + 1)) fit = ((normalized_adjacency.dot(membership)).data ** 2).sum() / total_weight diff --git a/sknetwork/clustering/tests/test_louvain.py b/sknetwork/clustering/tests/test_louvain.py index 38a2a8ecd..e9b185220 100644 --- a/sknetwork/clustering/tests/test_louvain.py +++ b/sknetwork/clustering/tests/test_louvain.py @@ -1,11 +1,11 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- -"""tests for louvain.py""" +"""Tests for Louvain""" import unittest from sknetwork.clustering import Louvain, GreedyModularity, modularity -from sknetwork.toy_graphs import karate_club_graph, bow_tie_graph +from sknetwork.toy_graphs import karate_club_graph, bow_tie_graph, painters_graph from scipy.sparse import identity from sknetwork import is_numba_available @@ -25,6 +25,7 @@ def setUp(self): self.louvain_shuffle_second = Louvain(GreedyModularity(engine='python'), shuffle_nodes=True, random_state=123) self.karate_club_graph = karate_club_graph() self.bow_tie_graph = bow_tie_graph() + self.painters_graph = painters_graph(return_labels=False) def test_unknown_types(self): with self.assertRaises(TypeError): @@ -40,7 +41,7 @@ def test_unknown_options(self): def test_single_node_graph(self): self.assertEqual(self.louvain.fit(identity(1, format='csr')).labels_, [0]) - def test_karate_club_graph(self): + def test_undirected(self): labels = self.louvain.fit(self.karate_club_graph).labels_ self.assertEqual(labels.shape, (34,)) self.assertAlmostEqual(modularity(self.karate_club_graph, labels), 0.42, 2) @@ -55,6 +56,11 @@ def test_karate_club_graph(self): self.assertEqual(labels.shape, (34,)) self.assertEqual(self.louvain_null_resolution.n_clusters_, 1) + def test_directed(self): + labels = self.louvain.fit(self.painters_graph).labels_ + self.assertEqual(labels.shape, (14,)) + self.assertAlmostEqual(modularity(self.painters_graph, labels), 0.32, 2) + def test_shuffling(self): self.louvain_shuffle_first.fit(self.bow_tie_graph) self.assertEqual(self.louvain_shuffle_first.labels_[1], 0) diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index ea8c8b725..12f151f57 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -401,5 +401,4 @@ def painters_graph(return_labels: bool = False): 12: 'Pierre-Auguste Renoir', 13: 'Egon Schiele'} return adjacency, labels - else: - return adjacency + return adjacency diff --git a/sknetwork/utils/checks.py b/sknetwork/utils/checks.py index c3fe23fe7..320ab3aa4 100644 --- a/sknetwork/utils/checks.py +++ b/sknetwork/utils/checks.py @@ -43,7 +43,8 @@ def is_proba_array(entry: np.ndarray) -> bool: def is_square(adjacency: Union[sparse.csr_matrix, np.ndarray]) -> bool: - """Checks whether the matrix is square. + """ + Checks whether the matrix is square. """ return adjacency.shape[0] == adjacency.shape[1] @@ -103,7 +104,8 @@ def check_engine(engine: str) -> str: def check_format(adjacency: Union[sparse.csr_matrix, np.ndarray]) -> sparse.csr_matrix: - """Checks whether the matrix is an instance of a supported type (NumPy array or Scipy CSR matrix) and returns + """ + Checks whether the matrix is an instance of a supported type (NumPy array or Scipy CSR matrix) and returns the corresponding Scipy CSR matrix. """ if type(adjacency) not in {sparse.csr_matrix, np.ndarray}: From 51e9d396436ee6926e93ed2e359ae908c82edc66 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 11:59:11 +0200 Subject: [PATCH 53/92] BiLouvain Simple version derived from Louvain --- sknetwork/clustering/bilouvain.py | 129 ++++-------------------------- 1 file changed, 17 insertions(+), 112 deletions(-) diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index 081615bfc..59759aa6a 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -3,93 +3,17 @@ """ Created on Mar 3, 2019 @author: Nathan de Lara +@author: Thomas Bonald """ import numpy as np from scipy import sparse from typing import Union -from sknetwork.clustering.louvain import Louvain, AggregateGraph, membership_matrix, GreedyModularity +from sknetwork.clustering.louvain import Louvain, GreedyModularity from sknetwork.clustering.postprocessing import reindex_clusters from sknetwork.utils.adjacency_formats import bipartite2undirected, bipartite2directed from sknetwork.utils.checks import check_probs, check_format, check_engine from sknetwork.utils.algorithm_base_class import Algorithm -from sknetwork import njit, prange - - -@njit(parallel=False) -def fit_core(n_samp, node_probs, indptr, indices, data, resolution, tol): - n_feat = len(node_probs) - n_samp - increase = True - total_increase = 0. - - labels: np.ndarray = np.arange(n_samp + n_feat) - samp_clusters_probs: np.ndarray = np.hstack((node_probs[:n_samp], np.zeros(n_feat))) - feat_clusters_probs: np.ndarray = np.hstack((np.zeros(n_samp), node_probs[n_samp:])) - - while increase: - increase = False - pass_increase = 0. - - for nodes, source_clusters_probs, target_clusters_probs in ((prange(n_samp), samp_clusters_probs, - feat_clusters_probs), - (prange(n_samp, n_samp + n_feat), - feat_clusters_probs, samp_clusters_probs)): - - increases, labels, source_clusters_probs = local_updates(nodes, node_probs, indptr, indices, data, labels, - source_clusters_probs, target_clusters_probs, - resolution) - pass_increase += increases.sum() - total_increase += pass_increase - if pass_increase > tol: - increase = True - - return labels, total_increase - - -@njit(parallel=True) -def local_updates(nodes, node_probs, indptr, indices, data, labels, source_clusters_probs, target_clusters_probs, - resolution): - increases = np.zeros(len(node_probs)) - for node in nodes: - node_cluster: int = labels[node] - unique_clusters = set(labels[indices[indptr[node]:indptr[node + 1]]]) - unique_clusters.discard(node_cluster) - n_clusters = len(unique_clusters) - - if n_clusters > 0: - node_proba: float = node_probs[node] - out_delta: float = resolution * node_proba * target_clusters_probs[node_cluster] - - unique_clusters_list = list(unique_clusters) - neighbor_cluster_weights = np.full(n_clusters, 0.0) - - for ix in range(indptr[node], indptr[node + 1]): - neighbor_cluster = labels[indices[ix]] - if neighbor_cluster == node_cluster: - out_delta -= data[ix] - else: - neighbor_cluster_ix = unique_clusters_list.index(neighbor_cluster) - neighbor_cluster_weights[neighbor_cluster_ix] += data[ix] - - best_delta = 0.0 - best_cluster = node_cluster - - for ix, cluster in enumerate(unique_clusters): - in_delta: float = neighbor_cluster_weights[ix] - in_delta -= resolution * node_proba * target_clusters_probs[cluster] - - local_delta = out_delta + in_delta - if local_delta > best_delta: - best_delta = local_delta - best_cluster = cluster - - if best_delta > 0: - increases[node] = best_delta - source_clusters_probs[node_cluster] -= node_proba - source_clusters_probs[best_cluster] += node_proba - labels[node] = best_cluster - - return increases, labels, source_clusters_probs class BiLouvain(Algorithm): @@ -116,7 +40,6 @@ class BiLouvain(Algorithm): Parameters ---------- - resolution: Resolution parameter. tol: @@ -173,13 +96,13 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] Parameters ---------- biadjacency: - Biadjacency matrix of the adjacency to cluster. + Biadjacency matrix of the graph. weights: Probabilities for the samples in the null model. ``'degree'``, ``'uniform'`` or custom weights. feature_weights: Probabilities for the features in the null model. ``'degree'``, ``'uniform'`` or custom weights. force_undirected: - If True, maximizes the modularity of the undirected adjacency instead of the bimodularity. + If True, maximizes the modularity of the undirected graph instead of the bimodularity. sorted_cluster: If True, sort labels in decreasing order of cluster size. @@ -188,7 +111,9 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] self: :class:`BiLouvain` """ biadjacency = check_format(biadjacency) - n_samp, n_feat = biadjacency.shape + n, p = biadjacency.shape + + louvain = Louvain(GreedyModularity(self.resolution, self.tol, engine=self.engine), verbose=self.verbose) if force_undirected: adjacency = bipartite2undirected(biadjacency) @@ -196,39 +121,19 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] feat_weights = check_probs(feature_weights, biadjacency.T) weights = np.hstack((samp_weights, feat_weights)) weights = check_probs(weights, adjacency) - graph = AggregateGraph(adjacency, weights) + louvain.fit(adjacency, weights) else: - samp_weights = np.hstack((check_probs(weights, biadjacency), np.zeros(n_feat))) - feat_weights = np.hstack((np.zeros(n_samp), check_probs(feature_weights, biadjacency.T))) - graph = AggregateGraph(bipartite2directed(biadjacency), samp_weights, feat_weights) - - iteration_count: int = 0 - if self.verbose: - print("Starting with", biadjacency.shape, "nodes") - - labels, total_increase = fit_core(n_samp, graph.node_probs, graph.norm_adjacency.indptr, - graph.norm_adjacency.indices, graph.norm_adjacency.data, self.resolution, - self.tol) - _, labels = np.unique(labels, return_inverse=True) - iteration_count += 1 - - membership = membership_matrix(labels) - graph.aggregate(membership) - if self.verbose: - print("Initial iteration completed with", graph.norm_adjacency.shape, "clusters") - - louvain = Louvain(GreedyModularity(self.resolution, self.tol, engine=self.engine), verbose=self.verbose) - louvain.fit(graph.norm_adjacency) - iteration_count += louvain.iteration_count_ - - membership = membership.dot(membership_matrix(louvain.labels_)) + adjacency = bipartite2directed(biadjacency) + samp_weights = np.hstack((check_probs(weights, biadjacency), np.zeros(p))) + feat_weights = np.hstack((np.zeros(n), check_probs(feature_weights, biadjacency.T))) + louvain.fit(adjacency, samp_weights, feat_weights) self.n_clusters_ = louvain.n_clusters_ - self.iteration_count_ = iteration_count - labels = membership.indices + self.iteration_count_ = louvain.iteration_count_ + labels = louvain.labels_ if sorted_cluster: labels = reindex_clusters(labels) - self.labels_ = labels[:n_samp] - self.feature_labels_ = labels[n_samp:] - self.aggregate_graph_ = louvain.aggregate_graph_ * biadjacency.data.sum() + self.labels_ = labels[:n] + self.feature_labels_ = labels[n:] + self.aggregate_graph_ = louvain.aggregate_graph_ return self From 7f531027f6d56a5e79e12b1690965fc3ea15d639 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Mon, 15 Jul 2019 13:24:40 +0200 Subject: [PATCH 54/92] PageRank tutorial update --- docs/tutorials/pagerank.ipynb | 58 ++++++++++++++++++++++++++++++----- 1 file changed, 51 insertions(+), 7 deletions(-) diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index b5679895e..9eb011fba 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -4,7 +4,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Using PageRank" + "# Node ranking by PageRank" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This notebook illustrates the ranking of ndoes in a graph by [PageRank](https://scikit-network.readthedocs.io/en/latest/reference/ranking.html#pagerank)." ] }, { @@ -23,6 +30,13 @@ "from numpy import array, argsort" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Loading**" + ] + }, { "cell_type": "code", "execution_count": 2, @@ -46,11 +60,17 @@ } ], "source": [ - "# load the graph\n", "adj, labels = miserables_graph(return_labels=True)\n", "adj" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Find Cosette's node in the graph." + ] + }, { "cell_type": "code", "execution_count": 3, @@ -62,10 +82,23 @@ }, "outputs": [], "source": [ - "# find Cosette's node in the graph\n", "cosette_node = [node for node, name in labels.items() if name=='Cosette'][0]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Ranking**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compute the ranking with a personalization vector set with Cosette." + ] + }, { "cell_type": "code", "execution_count": 4, @@ -88,12 +121,24 @@ } ], "source": [ - "# initialize PageRank\n", "pr = PageRank()\n", - "# compute the ranking with a personalization set with Cosette\n", "pr.fit(adj, personalization=array([(node == cosette_node) for node in range(adj.shape[0])]))" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Results**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Display the top 5 nodes of the personalized PageRank from Cosette." + ] + }, { "cell_type": "code", "execution_count": 5, @@ -117,7 +162,6 @@ } ], "source": [ - "# display the top 5 nodes of the personalized PageRank from Cosette\n", "for node in argsort(pr.ranking_)[::-1][:5]:\n", " print(labels[node], pr.ranking_[node])" ] @@ -142,7 +186,7 @@ "version": "3.7.1" }, "toc": { - "base_numbering": 1.0, + "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, From 290d37cce1a74f5059a93e2e6d246473b79707cb Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 13:27:30 +0200 Subject: [PATCH 55/92] Import --- sknetwork/__init__.py | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/sknetwork/__init__.py b/sknetwork/__init__.py index 75fa8c796..4527c2bc3 100644 --- a/sknetwork/__init__.py +++ b/sknetwork/__init__.py @@ -7,6 +7,14 @@ __version__ = '0.7.1' import numpy as np +import sknetwork.clustering +import sknetwork.embedding +import sknetwork.hierarchy +import sknetwork.loader +import sknetwork.ranking +import sknetwork.toy_graphs +import sknetwork.utils + import warnings warnings.filterwarnings("default", category=DeprecationWarning) @@ -39,12 +47,3 @@ class TypedDict(dict): @staticmethod def empty(**kwargs): pass - - -# import sknetwork.clustering -# import sknetwork.embedding -# import sknetwork.hierarchy -# import sknetwork.loader -# import sknetwork.ranking -# import sknetwork.toy_graphs -# import sknetwork.utils From 9e1e2a62ecd2ce07e2e1a4ce4290306a65cdce66 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 13:51:06 +0200 Subject: [PATCH 56/92] notebook Louvain --- docs/tutorials/clustering_Louvain.ipynb | 243 +++++++++++++----------- sknetwork/__init__.py | 15 +- 2 files changed, 142 insertions(+), 116 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index 77ceeb0ac..bd5e7097b 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -29,20 +29,19 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 2, "metadata": {}, + "outputs": [], "source": [ - "## Undirected graphs" + "import sknetwork as skn" ] }, { - "cell_type": "code", - "execution_count": 2, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "from sknetwork.toy_graphs import karate_club_graph\n", - "from sknetwork.clustering import Louvain, modularity" + "## Undirected graphs" ] }, { @@ -75,7 +74,7 @@ } ], "source": [ - "adjacency = karate_club_graph()\n", + "adjacency = skn.toy_graphs.karate_club_graph()\n", "adjacency" ] }, @@ -88,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:09.211595Z", @@ -103,19 +102,19 @@ "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 4, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "louvain = Louvain()\n", + "louvain = skn.clustering.Louvain()\n", "louvain.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -133,7 +132,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -158,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -167,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -181,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -195,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -206,7 +205,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -229,7 +228,16 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "modularity = skn.clustering.modularity(adjacency,labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -238,13 +246,13 @@ "0.42" ] }, - "execution_count": 12, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(modularity(adjacency,labels),2)" + "np.round(modularity,2)" ] }, { @@ -254,15 +262,6 @@ "## Directed graphs" ] }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "from sknetwork.toy_graphs import painters_graph" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -272,7 +271,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -282,13 +281,13 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 14, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "adjacency, names = painters_graph(return_labels=True)\n", + "adjacency, names = skn.toy_graphs.painters_graph(return_labels=True)\n", "adjacency" ] }, @@ -301,7 +300,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, "metadata": { "scrolled": true }, @@ -312,19 +311,19 @@ "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 15, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "louvain = Louvain()\n", + "louvain = skn.clustering.Louvain()\n", "louvain.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -342,7 +341,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -367,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -376,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -390,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -404,7 +403,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 27, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -415,7 +414,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -438,7 +437,16 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "modularity = skn.clustering.modularity(adjacency,labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, "metadata": { "scrolled": true }, @@ -449,13 +457,13 @@ "0.32" ] }, - "execution_count": 23, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(modularity(adjacency,labels),2)" + "np.round(modularity,2)" ] }, { @@ -465,16 +473,6 @@ "## Bipartite graphs" ] }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "from sknetwork.toy_graphs import movie_actor_graph\n", - "from sknetwork.clustering import BiLouvain, bimodularity" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -484,7 +482,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -494,13 +492,13 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 25, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "biadjacency, movies, actors = movie_actor_graph(return_labels=True)\n", + "biadjacency, movies, actors = skn.toy_graphs.movie_actor_graph(return_labels=True)\n", "biadjacency" ] }, @@ -513,7 +511,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 31, "metadata": { "scrolled": true }, @@ -524,26 +522,26 @@ "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" ] }, - "execution_count": 26, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bilouvain = BiLouvain()\n", + "bilouvain = skn.clustering.BiLouvain()\n", "bilouvain.fit(biadjacency)" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[2 2 1 3 0 3 3 1 4 0 4 1 2 0 0] [0 2 2 1 3 1 0 3 1 4 4 0 0 1 0 2]\n" + "[3 3 1 4 4 1 1 1 0 2 0 0 0 2 2] [2 3 3 1 1 0 4 1 1 0 0 2 2 0 2 0]\n" ] } ], @@ -555,14 +553,14 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[0 1 2 3 4] [4 3 3 3 2] [5 4 3 2 2]\n" + "[0 1 2 3 4] [4 4 3 2 2] [5 4 4 2 1]\n" ] } ], @@ -574,7 +572,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -583,7 +581,7 @@ "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" ] }, - "execution_count": 29, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -595,14 +593,14 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[3 3 1 4 4 1 1 1 0 2 0 0 0 2 2] [2 3 3 1 1 0 4 1 1 0 0 2 2 0 2 0]\n" + "[1 1 0 0 1 0 0 0 3 2 3 0 3 2 2] [1 1 1 0 0 0 1 0 0 3 3 2 2 0 2 3]\n" ] } ], @@ -614,14 +612,14 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[0 1 2 3 4] [4 4 3 2 2] [5 4 4 2 1]\n" + "[0 1 2 3] [6 3 3 3] [6 4 3 3]\n" ] } ], @@ -640,16 +638,7 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "from sknetwork.utils import bipartite2undirected" - ] - }, - { - "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -658,16 +647,16 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ - "adjacency = bipartite2undirected(biadjacency)" + "adjacency = skn.utils.bipartite2undirected(biadjacency)" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -681,7 +670,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -695,7 +684,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -706,7 +695,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -716,7 +705,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -726,7 +715,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 45, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -737,7 +726,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -754,12 +743,12 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -783,7 +772,16 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "bimodularity = skn.clustering.bimodularity(biadjacency,labels,feature_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, "metadata": { "scrolled": true }, @@ -791,76 +789,103 @@ { "data": { "text/plain": [ - "0.551" + "0.573" ] }, - "execution_count": 43, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(bimodularity(biadjacency,labels,feature_labels),3)" + "np.round(bimodularity,3)" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "bimodularity = skn.clustering.bimodularity(biadjacency,labels2,feature_labels2)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.573" + "0.558" ] }, - "execution_count": 44, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(bimodularity(biadjacency,labels2,feature_labels2),3)" + "np.round(bimodularity,3)" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "modularity = skn.clustering.modularity(adjacency,np.append(labels, feature_labels))" + ] + }, + { + "cell_type": "code", + "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.548" + "0.569" ] }, - "execution_count": 45, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(modularity(adjacency,np.append(labels, feature_labels)),3)" + "np.round(modularity,3)" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "modularity = skn.clustering.modularity(adjacency,np.append(labels2, feature_labels2))" + ] + }, + { + "cell_type": "code", + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.569" + "0.557" ] }, - "execution_count": 46, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "np.round(modularity(adjacency,np.append(labels2, feature_labels2)),3)" + "np.round(modularity,3)" ] } ], diff --git a/sknetwork/__init__.py b/sknetwork/__init__.py index 4527c2bc3..5e1cd8978 100644 --- a/sknetwork/__init__.py +++ b/sknetwork/__init__.py @@ -7,13 +7,6 @@ __version__ = '0.7.1' import numpy as np -import sknetwork.clustering -import sknetwork.embedding -import sknetwork.hierarchy -import sknetwork.loader -import sknetwork.ranking -import sknetwork.toy_graphs -import sknetwork.utils import warnings @@ -47,3 +40,11 @@ class TypedDict(dict): @staticmethod def empty(**kwargs): pass + +import sknetwork.clustering +import sknetwork.embedding +import sknetwork.hierarchy +import sknetwork.loader +import sknetwork.ranking +import sknetwork.toy_graphs +import sknetwork.utils From 360761cf84430671e7cb904ae6af21bc4cead7d3 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Mon, 15 Jul 2019 14:40:17 +0200 Subject: [PATCH 57/92] Updated PageRank tutorial --- docs/tutorials/pagerank.ipynb | 723 ++++++++++++++++++++++++++++++++-- 1 file changed, 688 insertions(+), 35 deletions(-) diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index 9eb011fba..707d02894 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -19,15 +19,35 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2019-07-09T11:28:05.300374Z", - "start_time": "2019-07-09T11:28:04.695417Z" + "end_time": "2019-07-15T12:29:50.554431Z", + "start_time": "2019-07-15T12:29:50.414075Z" + } + }, + "outputs": [], + "source": [ + "from numpy import array" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Undirected graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:51.246822Z", + "start_time": "2019-07-15T12:29:50.710016Z" } }, "outputs": [], "source": [ "from sknetwork.toy_graphs import miserables_graph\n", - "from sknetwork.ranking import PageRank\n", - "from numpy import array, argsort" + "from sknetwork.ranking import PageRank" ] }, { @@ -39,11 +59,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2019-07-09T11:28:06.573450Z", - "start_time": "2019-07-09T11:28:06.557327Z" + "end_time": "2019-07-15T12:29:51.261957Z", + "start_time": "2019-07-15T12:29:51.249107Z" } }, "outputs": [ @@ -54,14 +74,14 @@ "\twith 508 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "adj, labels = miserables_graph(return_labels=True)\n", - "adj" + "adjacency, labels = miserables_graph(return_labels=True)\n", + "adjacency" ] }, { @@ -73,11 +93,11 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2019-07-09T11:28:07.574978Z", - "start_time": "2019-07-09T11:28:07.567783Z" + "end_time": "2019-07-15T12:29:51.288646Z", + "start_time": "2019-07-15T12:29:51.284608Z" } }, "outputs": [], @@ -89,7 +109,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Ranking**" + "**Ranking with personalization**" ] }, { @@ -101,11 +121,11 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2019-07-09T11:28:09.342856Z", - "start_time": "2019-07-09T11:28:08.486826Z" + "end_time": "2019-07-15T12:29:53.130694Z", + "start_time": "2019-07-15T12:29:52.704040Z" } }, "outputs": [ @@ -115,55 +135,688 @@ "PageRank(damping_factor=0.85, method='diter', n_iter=25)" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pr = PageRank()\n", - "pr.fit(adj, personalization=array([(node == cosette_node) for node in range(adj.shape[0])]))" + "pr.fit(adjacency,\n", + " personalization=array([(node == cosette_node) for node in range(adjacency.shape[0])]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Results**" + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:54.855665Z", + "start_time": "2019-07-15T12:29:54.851966Z" + } + }, + "outputs": [], + "source": [ + "from networkx import from_scipy_sparse_matrix, draw" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:55.341520Z", + "start_time": "2019-07-15T12:29:55.026465Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(from_scipy_sparse_matrix(adjacency), with_labels = True, node_color = pr.ranking_, cmap = 'coolwarm')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Display the top 5 nodes of the personalized PageRank from Cosette." + "**Ranking without personalization**" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:57.454061Z", + "start_time": "2019-07-15T12:29:57.444373Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pr.fit(adjacency)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:58.518668Z", + "start_time": "2019-07-15T12:29:58.152579Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(from_scipy_sparse_matrix(adjacency), with_labels = True, node_color = pr.ranking_, cmap = 'coolwarm')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Directed graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:58.526421Z", + "start_time": "2019-07-15T12:29:58.521206Z" + } + }, + "outputs": [], + "source": [ + "from sknetwork.toy_graphs import painters_graph" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Loading**" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:58.542147Z", + "start_time": "2019-07-15T12:29:58.529699Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<14x14 sparse matrix of type ''\n", + "\twith 50 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adjacency, names = painters_graph(return_labels=True)\n", + "adjacency" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Find Michelangelo's node in the graph." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:58.664715Z", + "start_time": "2019-07-15T12:29:58.659098Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "michelangelo_node = [node for node, name in names.items() if name=='Michelangelo'][0]\n", + "michelangelo_node" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Ranking with personalization**" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:58.922265Z", + "start_time": "2019-07-15T12:29:58.912169Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pr.fit(adjacency,\n", + " personalization=array([(node == michelangelo_node) for node in range(adjacency.shape[0])]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2019-07-09T11:28:10.944232Z", - "start_time": "2019-07-09T11:28:10.935820Z" + "end_time": "2019-07-15T12:29:59.079191Z", + "start_time": "2019-07-15T12:29:59.075807Z" + } + }, + "outputs": [], + "source": [ + "from networkx import from_scipy_sparse_matrix, draw, DiGraph" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:59.507410Z", + "start_time": "2019-07-15T12:29:59.159529Z" } }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosette 0.8122398261884947\n", - "Valjean 0.11506081906205759\n", - "Marius 0.03912543863864285\n", - "Mme Thenardier 0.007464167768533003\n", - "Gillenormand 0.0060657134034498945\n" - ] + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(from_scipy_sparse_matrix(adjacency,create_using=DiGraph()),\n", + " labels = names,\n", + " node_color = pr.ranking_,\n", + " cmap = 'coolwarm')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Ranking without personalization**" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:59.524736Z", + "start_time": "2019-07-15T12:29:59.514775Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pr.fit(adjacency)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:59.927810Z", + "start_time": "2019-07-15T12:29:59.576083Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(from_scipy_sparse_matrix(adjacency,create_using=DiGraph()),\n", + " labels = names,\n", + " node_color = pr.ranking_,\n", + " cmap = 'coolwarm')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Bipartite graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:59.935397Z", + "start_time": "2019-07-15T12:29:59.929849Z" + } + }, + "outputs": [], + "source": [ + "from sknetwork.toy_graphs import movie_actor_graph\n", + "from sknetwork.utils import bipartite2undirected" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Loading**" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:29:59.948034Z", + "start_time": "2019-07-15T12:29:59.938997Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<15x16 sparse matrix of type ''\n", + "\twith 41 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "biadjacency, movies, actors = movie_actor_graph(return_labels=True)\n", + "biadjacency" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Find Aviator's node in the graph." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.084786Z", + "start_time": "2019-07-15T12:30:00.075528Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "aviator_node = [node for node, name in movies.items() if name=='Aviator'][0]\n", + "aviator_node" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.160391Z", + "start_time": "2019-07-15T12:30:00.155985Z" + } + }, + "outputs": [], + "source": [ + "adjacency = bipartite2undirected(biadjacency)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Ranking with personalization**" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.418151Z", + "start_time": "2019-07-15T12:30:00.409645Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pr.fit(adjacency,\n", + " personalization=array([(node == aviator_node) for node in range(adjacency.shape[0])]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.579524Z", + "start_time": "2019-07-15T12:30:00.576011Z" + } + }, + "outputs": [], + "source": [ + "from networkx import from_scipy_sparse_matrix, draw, draw_networkx_labels" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.664046Z", + "start_time": "2019-07-15T12:30:00.659446Z" + } + }, + "outputs": [], + "source": [ + "graph = from_scipy_sparse_matrix(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.743915Z", + "start_time": "2019-07-15T12:30:00.739732Z" + } + }, + "outputs": [], + "source": [ + "n,p = biadjacency.shape\n", + "pos = {i: (0,i) for i in range(n)}\n", + "pos.update({n + i: (2,i) for i in range(p)})" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.828186Z", + "start_time": "2019-07-15T12:30:00.822693Z" + } + }, + "outputs": [], + "source": [ + "pos_labels = {i: (0.5,i) for i in range(n)}\n", + "pos_labels.update({n + i: (1.5,i) for i in range(p)})" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.909582Z", + "start_time": "2019-07-15T12:30:00.905650Z" + } + }, + "outputs": [], + "source": [ + "names = movies\n", + "names.update({n + i: actors[i] for i in actors})" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:01.562315Z", + "start_time": "2019-07-15T12:30:01.393260Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdIAAAE/CAYAAADyukJqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzsnXd4FGXXh+9tSTa9QUIKKQRYghRpAhKC0qQjXUyQLkgHRQWUUF5flSIiigoISImCICCKCAgEFBBEiEACBFJIA9J7tn5/5NsxSwqpQHznvq5c2Z2dnX1mdmbPnPOcc34Sg8FgQERERERERKRKSB/3AEREREREROoyoiEVERERERGpBqIhFRERERERqQaiIRUREREREakGoiEVERERERGpBqIhFRERERERqQaiIRUREREREakGoiEVERERERGpBqIhFRERERERqQaiIRUREREREakG8sc9ABERERERkaoQHZfL9z8lEh2XS16+DitLOU0aWfNiXzfcXZWPbBwSsdeuiIiIiEhd4vS5FDaHxhJzJw+tVo9O/89rcrkEqVRCs8Y2TBjtRZuWDrU+HtGQioiIiIjUCQwGA59+dZt9hxIpKNQ/dH1zcykTRnszeohnrY5LnCMVEREReQw0b96cEydOABASEkJQUNDjHVAd4LPNFTeiAIWFer7aGcOu/XdqdVyiIRUREalzbNmyhRYtWmBpaYmrqytTp04lIyPjsY0nNDQUf39/k2U9e/Ysddn7778PwNWrV+nWrdujGmKd58yFVL7/qeJG1EhBoZ4vtsUQeTO7lkYmGlIREZE6xqpVq3jzzTdZsWIFmZmZnD17ltjYWHr27IlarX4sYwoMDCQiIoL79+8DoNVquXz5Mnl5eSbLzpw5Q9euXR/LGOs6W7+Nq7QRNaJW69mxJ66GR/QPoiEVERGpM2RlZbF48WI++eQTXnjhBRQKBd7e3uzatYvY2Fi2b99OQUEBSqWSlJQUAJYvX45cLicrKwuARYsWMXv2bAAKCwt5/fXXadiwIS4uLkyZMoX8/HwATpw4gYeHB6tWraJ+/fo0aNCAzZs3lzouNzc3fH19CQsLA+DixYs0b96cwMBAk2V6vZ527doB4O3tzdGjR0tsq6CggKCgIJycnLC3t6d9+/bcvXsXgMTERAYOHIijoyN+fn5s2LBBeF9ISAgjRoxgzJgx2NjY0Lx5cy5cuFDtY/4kcCcxjxu3c6r8foMBfvsjjcwsTQ2O6h9EQyoiIlJn+P333ykoKGDIkCEmy62trenTpw9HjhzBwsKC9u3bc/LkSQDCwsLw8vLit99+E54HBgYC8Oabb3Ljxg0uXbpEVFQUCQkJLF26VNhucnIymZmZJCQksGnTJqZNm0Z6enqpY+vatatgNMPCwggICKBLly4myzp27IiZmVm5+7h161YyMzO5c+cOqampfP755yiVRaUcL730Eh4eHiQmJvLdd9+xYMECjh07Jrz3wIEDjBo1ioyMDAYOHMj06dMrfGyfZH74OQm9vnp5sRIJHDl5r4ZGZIpoSEVEROoMKSkpODs7I5eXLIFv0KCB4IUGBgZy8uRJtFot4eHhzJw5k5MnT1JQUMD58+cJCAjAYDCwYcMGPvroIxwdHbGxsWHBggV88803wjYVCgXvvvsuCoWCvn37Ym1tzfXr10sdW3Hv89SpUwQEBBAQEGCyzGjAy0OhUJCamkpUVBQymYy2bdtia2vLnTt3OH36NB988AEWFha0bt2aiRMnsm3bNuG9Xbp0oW/fvshkMoKDg7l8+XLFD+4TTEx8Hlpt9QxpoVpPXEJeDY3IFNGQioiI1BmcnZ1JSUlBq9WWeC0pKQlnZ2egyKidOHGCixcv0qJFC3r27MnJkyc5e/Ysfn5+ODs7c//+ffLy8mjbti329vbY29vzwgsvCHOaAE5OTiZG29LSkpyc0kOMXbt2JTw8nPT0dM6ePUunTp1QqVQkJSWRnp7O6dOnKzQ/GhwcTO/evRk1ahRubm7Mnz8fjUZDYmKiYPCNeHl5kZCQIDx3dXU1GWtBQUGpx6qukZevq5Ht5ObVzrEQOxuJiIjUGTp16oS5uTl79+5lxIgRwvLc3FwOHTrEe++9B0Dnzp25fv0633//PYGBgfj7+xMXF8ePP/4oeIXOzs4olUquXr2Ku7t7tcfm6+uLm5sbX375JQ0bNsTa2loY85dffklOTg4dO3Z86HYUCgWLFy9m8eLFxMTE0LdvX5o2bUqvXr1IS0sjOztbMKZxcXE1MvYnhfz8fNLT00lLSyM9PV34u5tsD9hXe/u21orqD7IUREMqIiJSZ7Czs2Px4sXMmDEDW1tbunfvTkJCAq+99hoeHh4EBwcDRd5Y27Zt+fTTT/nxxx+BIuP6xRdfsGnTJgCkUimTJk1izpw5rFu3jvr165OQkMCVK1fo3bt3lcYXEBDA6tWrefnll4VlXbp04cMPP6Rdu3bCXGd5HD9+HGdnZ/z9/bG1tUWhUCCTyfD09KRz5868/fbbrFy5khs3brBp0ya2b99epbE+DvR6PVlZWYKBfNBg6vV6HB0dcXBwwMHBATc3N5o1a0ZSegqHThSi00mq/NlKCymNfa1rcG/+QTSkIiIidYr58+fj5OTE66+/zq1bt7C1tWXw4MHs2LEDc3NzYb3AwED++usvOnToIDz/7rvvTMKrH3zwAUuXLqVjx46kpKTg7u7O1KlTq2xIAwMDCQ0NpUuXLsKygIAAXn/9dcaPH1+hbSQnJzNlyhTi4+OxtrZm5MiRQrOG0NBQpkyZgpubGw4ODixZsoSePXtWaay1hUajKdVIpqWlkZmZiaWlJQ4ODoLBVKlUwnOlUolEIqGwsJCoqCgiIyOJiorC2sYVCd7VGpfBAM93qVczO/kAYotAEREREZEKYzAYyM3NNTGQGRkZguEsKCjA3t5e8CqNf46Ojtjb26NQlB5ezc3N5fr160RGRhIbG0vDhg1RqVQ0bdoUa2tr3lx2hd/Pp1IViyWXwYDebsyb2riae186oiEVERERETFBp9ORmZlZwqs0/slkMhPjWDwca2tri0RSsRBsRkYGERERXL9+neTkZBo1aoRKpaJx48ZYWFiYrBt5M5tpb12iUF35pgwW5lK2ftIO9wa1owgjGlIRERGR/0EKCgrKnKs0JjSV5lU6ODiUMHIVxWAwcO/ePSIjI4mMjCQrK4smTZrQrFkzfH19Sy1rKs6PR5JY/UUUhZXocGRuLmX5W/50audUpTFXBNGQioiIiPwLMRgMZGdnlzlfqdVqy/Qq7e3tkclkNTaO+Ph4IiIiiIyMRK/Xo1KpUKlUNGzYEKm0clWYP/+azIrPbqLVmMqnPYhcLkEuk7Cslo0o/AsMafSdPJLuFpJfoMNSKaOhuxJ316rdLYmIiIjUJbRabQkDaXyckZGBhYVFmV6llZVVhUOwlUWn0xEdHU1kZCTXr1/H0tJSMJ6urq7V/tzYO3l8u/8Oh48XdSoqHu61MJcikUoY2KsBwwa408Cl9u1BnczaVav1HD+TSuj+RJLvqZHJijKypFIJGq2eRg0tGTXIjWfbOSCT1c6JIiIiIlLbGAyGMmsr09LSyMvLw87OzsRI+vj4CM8f1o6wJlGr1dy8eVPItHV2dkalUjF27FicnGrWI3R1saDVUw6ER2aTmFSAwkyKwVDUBlBnkNDI04oWze2o5/Ro9r/OeaTXb+fyxvJItFo9+QVl+/VKCynWVnI+WtxM9FBFRESeWPR6PZmZmWXOVwImYdfiXqWtrW2lQ6M1SV5enpBpGxMTg6enp5BpW7wDU01y43YO80KuoNaUbwMslTKsLGWsWdoCT7faSTIyUqcM6ZXr2byxPLLCUjoSSdHB/Ow/zWnoXrsHUkRERKQs1Gp1qUYyPT2dzMxMrKysShhJ42MLC4taC8FWhYyMDCFZKDk5GV9fX1QqFU2aNKlyElJFuRKZxdwlVygox4AWx2gD1r/fCm9Py1obV50xpMn3CpnwRjh5+ZVLfZZIwN5WwdaPWmJjXScj2Y+diRMn4uvry4IFCx73UEREKoVEIuHmzZv4+fnV6ucYDAZycnLKrK0sLCwsc67S3t7+odmqjxODwcD9+/cF45mZmUmTJk1QqVT4+vqWWRda0yTfK2DcnL/Izatc312jDdj2SRtsbf7HWwRu/z6hUinPRgwGyM3X8sORe4x+0a0WRlY5vL29uXv3rklG3I0bN3Bzq/rYtFotCoWC6OhovL29qzW+jRs3sn37dk6cOGGyrCp4eHiQmpqKTCZDoVDw7LPP8sUXX9Rqb9DSxl9RDhw4wPvvv8+1a9dQKpUMHDiQVatWCT1TRZ4cunXrRlBQEBMnTnxkn6nT6cjIyCjTs1QoFCZZsD4+PrRp04asrCxatmyJlZUVAFZWVrRv355Zs2bRuHHtNAioLsZMW6Px1Gq1qFQqevXqVaVM25pg+554Cgor37zeaAP2/ZzEmOENa2FkdcSQ5hfoOHoqtdxU5/JQqw3s/jGJkYMaIJM+/hDJDz/8QI8ePR73MB4Jhw4dolu3bhQUFPDqq68ya9Ysvvvuu8c9rFLJzs5m8eLFdO3alfz8fEaNGsVbb73FunXrHvfQRB4RBQUFJkay+OOcnBxsbW1NvEpPT0/BsyzenrA4MTExQFFIVC6Xk5yczLfffsuLL77IunXrGDt27KPbwXLQ6XTExMQIDRKUSiUqlYqhQ4fSoEGDxxpezi/Q8cvJe+iqKAKjVhvYfTCRl4d41koCap2QUTsSlkJ1v8NCtZ7zlzJrZkC1gF6vZ9iwYbi6umJvb0+3bt2IiIgQXg8KCmLmzJn06dMHGxsbOnXqRHR0NIDQO7R58+ZYW1uzZ88eUlNT6du3L/Xq1cPBwYEBAwaYyC1t2rQJb29vbGxs8PX15ZtvvuHvv/9m+vTpnDp1Cmtra0GSKigoiJCQEOG9e/fupXXr1tja2uLn58cvv/zy0P2zsLBg6NChXLt2TVhWUFDA3Llz8fT0xMXFhddee42CggKAGh3/wYMHadasGTY2Nnh4ePDRRx+VOsaXX36Z3r17o1QqcXR0ZOLEiYIYtMiTy4YNG/Dz88PR0ZGBAweSmJho8vrRo0dp3LgxDg4OvPbaa2RkZBATE0NISAhPPfUUAwcOxMrKCkdHR6ZMmcKBAwe4evUq06ZNY//+/axdu5ZFixZx8uRJRo8eTXBwMOvXr+fixYv4+/vj6uqKubk5LVu2ZN++fQ8dr6urK7NmzSIkJIQ333wTvb7IQ0hMTGTo0KHUq1cPHx8f1q5dK7wnJCSEYcOGMXLkSGxsbGjTpo2J1qi3tzf//e9/8ff3x8HBgXHjxgnXUnmo1WquXbvG3r17WblyJSdOnMDBwYGxY8fy2muv8fzzz+Pm5vbY52iPht2vtg3QqPWcu1i6KHt1qROG9EJ4ZoUTjMoiv0DP5WtZNTSi2qF///7cvHmT5ORknnrqKUHJwsjOnTtZtmwZaWlpNGzYkHfeeQdAEA6+evUqOTk5DB06FL1ez6RJk4iLiyM2NhaFQsGsWbMAyMrKYu7cuRw5coTs7Gx+++03WrZsSYsWLVi3bh0BAQHk5OQIIsnF+f333xk/fjyrVq0iIyOD48eP4+Xl9dB9y83NZdeuXSYyUq+//jrR0dGEh4dz8+ZNYmJi+M9//gNQo+MfN24cmzZtIjs7m/Dw8AqJKxuPa/PmzSu0rsjj4ddff+Xtt99m165dJCUl4eXlxciRI7l3754gwP3VV1/xxhtvMGfOHLZu3cr8+fM5fvw4aWlpREZG8vTTT3Pt2jXeffddfvnlF1599VVGjBiBg4MDJ06cIDQ0lPv376PRaFi5ciUAr7zyionqyuXLl0lISKBv374VHvuQIUOEcer1egYMGECrVq1ISEjg2LFjrFmzhsOHDwvr79+/n+HDh5OWlsbo0aMZPHgwGo1GeH3Hjh0cPnyYW7ducePGDZYvX17q5+bl5XHp0iW++eYbVq1axZ9//omnpyevvfYaEyZM4Nlnn63xcpXqcv5yerkZuhUhr0DPpau140zVidBuZnbNiLFmZGkevtIjYPDgwUJyQbdu3di3bx9SqdQkxBMSEkK9evXIzc0V5laGDRtGu3btgCLvqbzkn3r16vHiiy8CoFQqWbBgAX369BFel0gkXLlyBU9PTxo0aECDBg0qNPZNmzYxadIkunfvDoCnp2e56/fv3x+5XE5OTg6urq7CD4Ner2fjxo1cv34dBwcHAN5++23Gjx/PsmXLanT8CoWCa9eu0aJFCxwdHXF0dHzofh46dIidO3dy/vz5h64r8mgxGAzodDrS09P55JNP6NmzJ3FxcVy+fBk3Nzc+++wz1q9fL8w/TpgwgcDAQBwcHAgPD8fX15dx48YhkUjw9vZmyZIlAEyePJk5c+Zw9+5dQSB73LhxNGnSBIARI0Zw4MABAAYNGsSUKVO4efMmjRs3Ztu2bYwcObJSdZvGvIi0tDTOnz/P/fv3effdd4EibdNJkybxzTffCEo0bdu2ZdiwYQDMnTuXVatWcfbsWQICAgCYPn26cD0uXLiQGTNmCMY0MzNTmO9MSkrC19cXf39/Bg0aVCFpt0eB8XtVq9VoNBrUarXwl5RcM05Qeqa6RrbzIHXCkCoUNRNWCL/8J0uWPF7tvoyMDIYMGUKjRo2EZUuWLEGv13P06FGuXbtGXl6eEEpZtGgR9vb2hIeH4+joKFz0t27dIj4+niVLlqD7/4mDNWvWCEZJrVZz6NAhbt26JYR41Gq18P7+/fszb948XnrpJRo2bEjv3r1xdnbmzz//JCYmRlgPIDw8XPisEydO0KxZM5PXyyIrK4thw4bh4+ODXq8nIiKC9u3bM336dHQ6HYWFhTRt2rTE+5YsWVKj4+/Xrx8rVqxgxowZuLi40LNnTzw8PMocd1xcHKGhoYwYMaJOaT3+L3Hnzh1OnTpFREQETZo0MQlzKpVK4uLihOdXr14lOTkZgKioKO7du0dhYSF//fWXyTll5L333sPJyYmYmBj++OMP4fW//vqLa9euCc+Nxi4wMJAvv/ySESNGlHpdGGtBly5dapJkmJaWBhRJo929e5f4+HiT8hGDwUDDhg2F6y47O9tk+1KplLVr1/Lrr7+SkZHBqVOnuHv3LgD37t0jLi6uzOs0IiLCZOroSef+/VaAc7W3Y2ZWM20PH6ROlL+s+Pw2h47fr5J8jhGZFALaFuLvfVdIIgBK1G0Zn9dWobO3tzcbN24skWy0efNmVq1axcGDB/Hy8iI1NZV69eoJmbhBQUH4+fkJc5VHjx5l4sSJxMTEoNPpkMvlJlm7ixcv5vTp0+zYsQNXV1cuXLhA+/btefDrzs/P5+233+by5cscP36cTZs2sW3bNpOs1+KfPWHCBBwdHVmxYsVD99XDw4Pt27fTrVs3YZmDgwObN29mwIABWFpaEhcXh4uLS4n31uT4jWg0Gj7++GM+/fRTYX75QS5cuEDfvn3ZsmVLpcJ0IpWnsLCwzAzYrKwsrK2tS62tdHBwoE+fPgQFBXHmzBmcnJz48MMPgaIpBHt7e27evIm3t3eJ8pexY8fi4eHB8uXL2bJlCxs3buT06dPCmIqv/2Bm8IPrnzlzRpgvfe2117h582ap+xkTE4OPjw8ajcakzGXlypWsWLGCpKQkzp07x5gxY8rcRkhICD///DNnz54FiiI67u7u7Nq1i4CAALy9vXnzzTcZMGAAkZGR7Nmzh927d7N582YaNWqEi4sLWq22VG/vwWVlPS6+zJiJb2ZmZvJnXFbea+U9L6u/74r1URw8klwtGyCXSRg70rNWMnfrhEf6Qrd6/PpbarXmSWUyCZPGdMCtWN/F/Px8k4s4Pj6eK1eukJaWRm5urknrrQcv5ppuvZWdnY25uTlOTk7k5eWxcOHCSuybDCcnJ27fvi0Y0uzsbEFANzU1laVLlwrrJyUlceHCBbp37465uTlWVlbCCezi4kJ8fDwajabU+rAJEybQr18/+vbtS2BgIImJieTm5pbqWRbHYDDw/fffk52djUqlQiaTMXHiRGbPns3atWtxdnYmISGBa9eu0atXrxobf35+Pt9//z39+/fH1tYWGxubMi/Wy5cv07dvXz777DPRiNYAxtrK0lrbpaeno9FoTK6v+vXrCyLPFW2aPnr0aEaNGsXo0aNp1qwZCxYs4Jlnnql2GVhF6NSpE1KplHnz5pXIZyiPu3fvsnv3bpYsWcLHH3+MRCKhdevWWFtbs3jxYmGKJzIykuzsbJo2bUpCQgIXLlxg6dKltG/fnj179qDT6YiNjSUiIoKsrCxCQkK4desWFhYWHDp0CH9/f8LDw4mMjCzTgBV/bGlpiZ2dXbnGzrjsUZe/vPBcfY6cvFctGyCVQvdaEvauE4b0qabW2NvKSb5f9fi2ys/axIhCUQjI3d291LpGrVZbomYsNjZW+DEwNzcv05utSjPocePGceTIEdzc3HBycmLJkiV8+eWXFX7/kiVLGD16NAUFBXz11VfMnTuX0aNH4+TkhLu7O7Nnz+aHH34AitLcV6xYQVBQEBKJhKeffpr169cD0LNnTxo3boyLiwtmZmZCSMxI586d2bBhAzNnziQmJgZXV1fWr19fpiHt06cPMplMmI/avn07KpUKgFWrVhESEkKHDh1ITU3Fw8ODadOm0atXrxobf3R0NFu3bmXatGnodDpUKhXbtm0rdawrV64kNTWVsWPHCj9mjRo1MgkbiphS2nVS/K/4dWJvb0+jRo1o165dla+T4kgkErp3786yZcsYOnQo6enpdO7cmW+++aYG9/Af9Ho9er2e7OxswTsz1hqvWLGCS5culerFGbPNra2tMRgMmJmZ4enpyciRI0lOTmbZsmXI5XL69+/PwYMHWbNmDVqtlgYNGjBq1CgUCgW5ubl06tSJ48eP8/777+Pq6srUqVOJi4vD1tYWhULByy+/zA8//MDdu3fp378/n3/++b+mBvqppjY42puRePfhmchl0bSRtahHeuCXu3y2La5KTRkszKW8O8ePTm0camQsZd1pG39MHrzTfrCLSU3JE4mI1DYGg6Hc2srSIjfFz/faaprepk0b3n33XQYPHlziNZ1OV6HwZEVCm8Wf63S6Eh7a+fPnOXXqFMuWLatyaFOhUDz0hmLhwoVcunSJ4OBgoqOjcXd3F9RUbG1ty5wy+jdx4Jck1n0VXSWv1MJcyuJ5TXm2fe1kI9cJjxSgX/f6HD+TyrUbOag1Fbf95mYSAp5xoOPT9jU2FolEgo2NDTY2NqWWfhjnfow/OsYU9+JzP6VpABr7aoqIPEr0ej1ZWVllKowAJl6lh4cHLVq0wMHBATs7uyqH+YwZmhUxbsWX3bp1iytXrnDr1i02bNhQYn29Xl/huTmFQmESzizPAMrlchODl5eXx+bNm1m4cCEjRoyoke+iOJmZmUJD+HPnzlFYWEizZs2eqEzbR0nf7q4c/y2FvyOyKmkDpAQ840Tndg/P1q8qdcYjhaLuFm/8J5Ko6DwT/bmysDCX0r6VHYvnNH5i5NR0Oh1ZWVllzhvJZLIy7+5tbW0fe2G0SN3E2DS9tF6wDzZNL37e2dvbY2ZmJhipynh3D1sXqLCxMz7+/PPPOXToEBMnTmTixImlrmOcSqhNDh8+zJAhQ+jRowd79uypsV65xXvapqenCz1td+zYQXR0dJlZ5P8LHin8vw1YepXrt3MqFJ20MJfSvrU9S15XIZfX3rxunTKkAFqtng2hdzhw5B4SKLVIV2khRSaTMGpQA0YPevxdOSqKwWAgLy+vTDml/Px87OzsSvVmHRwcHlnzaJEnD6MU1/3790lJSTHJfjXO6VlaWqJUKgWDI5fLkUqlSCQSIaOzNAMolUof6q1VJUtTnOIouuYTExOJiIggMjIStVothGy9vLzEY1QKWq2eDTti2fdzElC+DXhpsAcvD/FAWsutYeucITWSkaXh822x/PpbGhrtP7tgbialf/d6jB/lgaWyzkSuK4RGoynTq8jIyBCyXEvzZi0tLevMDcW/GYPBUKbHVp4Hp9FoKCwsJC8vj/z8fAoKCtBoNGg0GvR6vVAWJJVKTUoTlEolSqUSS0vLGi9JEKkaxmxbo+dpZmaGSqWiWbNmT0Q7vrpCRpaaz7ZEc+xUChqtHgyARIK5mYR+PVyYHOT9yGxAnTOkGq2ez7fF8eOx+0glkF+Ke6+0KLrLHjHAleAh7rV+N/IkYMwmLCt7UqfTlZllXJ15rn8rBoOhRhNVij9XKBRlGjCZTCZkhxrfU1hYKBhPpVKJra2tEJlwdHTE2dmZevXqYWlZe3qLItVDo9EQFRVFZGQkN2/exMHBQTCexp7QIhVDo9GzfsttDhxOQiIp3SO1VBbd/I0c5MG4l7xEj7Q4efk65i2LIDouj0L1w4dtYS7l6adsWTqvca3Gx+sCpWVeGr3Z0lQtihvcslQtngSMBqcy3l1Fis6N0nSVSVqpiLcnl8vJzc0tc45cq9WWerNjTOwRvcO6Q35+Pjdu3CAyMpLo6Gjc3NxQqVQ0bdoUOzu7xz28Oklevo4574QTFZ1T4TyZp1vY896C5igU4hwpWq2euUsjibyVg6aSGVvPtndg0cxGjzRk8jj0EqvKK6+8grOzM1OnTn2ozuKDP/DW1tYVOq4PliQ8aMD27dvHgQMHWLVqVaW8vdJKEsorM3iYsTMuq0hJQlloNJoyayszMjKwsLAo83iKIfiShISEEBUVVal2jc2bN+fTTz816apV24SEhBAREcG8efOIjIwkISEBHx8fVCoVTZo0eWwRgxMnThAUFER8fPxj+fyaQqszMHvRZa5dr3zW7rMdnFgyv1mtXVt1ZhLx4LF73IjOrZQRhSL5tN8vpHPmzwxGD3uaxMREEhMTTcIprVu35vLlyzUijP2kU1ZbNKVSiZ+fX4mShMLCQrKzswUPNjk5maioKHJycsjPz0en05nMpUmlUq5cucLPP/9McnIycrkcPz8/evToQb169co0YM2bN+fpp5+moKCgWiUJxv0p3hautGMwYcKEEiUEN27cEHoVl4fBYCjRFau40czLy8Pe3t7ESPr6+opJYeWwc+dOVq9eTWRkJDY2NrS/tWNoAAAgAElEQVRu3ZqFCxfSpUuXKm3v6tWrD12nrNZ9lSUlJYXIyEguXrzInTt3SEhIoH379owaNapKdbRnzpyhd+/eQhY/wKRJk/j2229LLJPJZHz++eeV2n5dzfA9+EsikTezK2VEocgGnLmQyulzqQR0rJ0wep0wpAaDgW/2J1WpGQNAQaGe0P1FGoU+Pj6EhoYyY8YMAP7++2/y8/OrPDatVltjqe8V3V5xlYTKFp0bVSa2bNkiLL969SpxcXEsW7YMKLskwcysqI2Yvb298JpUKkWr1VJYWEhBQQHHjx/n66+/ZtiwYfj6+iKRSDh27Bjbtm1jy5YtNGzYUPC+jIaspo9hRejUqZPJzcSDGLNgy5pzlkgkJiUinp6etGzZUihTMh6XR71fdZHVq1fz/vvv8/nnn9O7d2/MzMz4+eef2b9/f6UN6aM45gaDgaSkJCHT1ii+YNTHNaoWVZV27dqh0+m4ePEi7du3B+DUqVO4ubmZLAsLC2Px4sXV3p+6gMFgYMee+Cq3CMwv0LNjz51aM6R1YuIwPCK72lJqN27notMZCA4O5uuvvxaWb926lTFjxpis261bNzZu3Cg837Jli8kFLZFI+PTTT2ncuLEg1XTkyBFUKhV2dnZMnz4dg8EgZGjm5ubyySef0KRJE+zt7enatSvHjh0jPDycP//8E4lEwuzZs3F3d8fDw4N9+/axa9cuduzYwebNm/niiy+YPHkyrq6uKJVKfH19mTt3LuvWrWPz5s00a9aM2bNn07VrV55++mleffVVoqOjhX6mxh6+Wq2WjRs3EhUVxbRp03jjjTcYOXKksB9nzpzhww8/ZO/evQwcOJDp06czefJkOnbsyObNm5k8eTLz588nOzubHj160LVrV7p06UK3bt3o3bs3AwcO5Pvvv2fJkiVs27aNxYsXM3v2bDZv3oyNjQ07d+4kIiKCBQsW0KxZM7p06YKVlRUjR47kjTfeoHXr1kRHR5ORkcG1a9fo2bMnjo6ONG3alF27dgnHf+zYsUybNo1+/fphY2PDM888w61bt4B/RM5btWqFtbU13377bZnnhFqtJjk5mYiICH7//XcOHjzIqlWrsLKyYvr06WzdupUDBw7w/PPPExERgb+/P1u3biU1NZU9e/bwxhtvsG3bNtq0aUObNm0E47p582YaNmzI888/D8DZs2fp3Lkz9vb2tGrVihPFGupv2bIFX19fbGxs8PHxYceOHUCRSklgYCB2dnY4OzszcuTISp3vdYXMzEzeffddPv30U4YMGYKVlRUKhYIBAwaYCCOo1WrGjBmDjY0NzZs358KFC8Jr3t7efPDBB7Rs2RIrKyu0Wi3e3t4cPXoUgD/++IN27dpha2uLi4sLc+fOBf45V+zt7bG2tubMmTPo9XqWL1+Ol5cX9evXZ8yYMWRmZqLX6zl16hQSiYSRI0fSrFkzRowYQXJyMnPmzKFfv344Ojqi0WjKHGd5wt3FUSgUdOzYUdAZvnfvHmq1mpEjR5osu3HjhrAPxt8Bo9D9F198Ueq2g4ODiYuLY8CAAVhbW/Phhx8yffp0rK2thT+5XC6IYzwphF/LIqOaEmg3budwJzGvhkZkSp24XT588n6VvVEjer2BgkI9HTt2ZNu2bYL80rfffsupU6dYtGiRkASiVqtJS0vj1q1bqNVq7ty5Q05ODr///rtQSL5x40beeecdpFIp69evZ+7cuQQHB9OsWTNOnDjB6dOnsbe3F074n376ialTp+Lu7s4vv/zC1KlT+e9//yuE+U6dOsWGDRuwtrbGxsbGxAu8c+cOc+fOZceOHXTv3p1PP/2UjRs3cu3aNczMzPj444+JjY3l3LlzWFhY8Oyzz5KSkiJoFxp55pln+OKLL0qEds3MzNi9ezc///wzbdq04ZVXXmHhwoV888035Obm0rNnT5YuXcqhQ4cIDw+nV69eNG/evITo9fXr14mLi2P48OFAUSmGvb099vb2BAUF8csvvzB8+HByc3PZsWMHM2bMYMeOHdy7d4+9e/eiVqs5efIkycnJ/Pe//6V///6sWbOG9PR0Jk+ejFKppEOHDuj1ekJDQ0sdb1hYGBKJhMuXL9OoUSNycnKIi4sz8SrDwsJISEhgxYoVJl5l/fr1adq0KVKplC+//JKVK1fy4osvMnnyZGbOnCkcq507d3L48GF8fHwYM2YMM2fONJm/O3nyJBEREUilUhISEujXrx/btm3jhRde4NixYwwdOpTIyEgsLS2ZOXMm58+fp2nTpiQlJQmdhN555x169erF8ePHUavVJj/I/ybOnDlDQUHBQ724AwcOsHfvXjZv3syiRYuYPn26oIQCRVJkP/74I87OziU80lmzZjFr1iyCg4PJycnhypUrQJFH5+PjQ0ZGhvCer776ii1btnD8+HEcHBwYMWIEgwYNom/fvmi1RTfzWq2WhIQEoqOjef755wkMDBTCpGWN0yjcPWjQIEJDQ4mPj6dHjx40bdpU0BstTteuXQkLC2PevHmEhYXRpUsXunTpwrp164RlPj4+ghxg/fr1OXjwIL6+voSFhdGnTx/at29PmzZtTLa7bds2Tp06VSK0u27dOgAuXbpEz549GTRo0MO/vEfIz78mV6thPYBOZ+BY2H3GjirZja661AlDei9VTXUzorQ6KCgs0rhs2rQpM2fOxMvLC3Nzc7766isAtm/fjqurKykpKVy9ehVXV1fMzMy4e/cuarWa7OxsYc5j0qRJtGzZEjMzM3788UdBo9PMzIwJEybg7+9Pv379mDx5Mn369OH9999nwoQJwnutra1p166d0GJwxYoVggfzIF9//TX9+vUT+orOnz+fTz75hN9//11Ippg5c6YgFDxgwAAuXbpUqeMzZMgQOnToABSJhhvv2g8ePIi3tzfjxo0DinqcDh06lO+++66EIU1JSQEoVWS7QYMGwutQJGo8b948ALy8vLh69SqOjo6MHTuWb7/9lhYtWghG1NiMfOvWrcTFxXHlyhUaN27MlStXiI+Pp2nTpmzYsIHDhw8LNzrbt28XbkQenKts3rw5X3/9tYnH4+TkJHi1c+bM4fjx4zzzzDNIJBJBzNlIcHAwTz31FADLli2jdevWbN26VXg9JCREEGPfvn07ffv2FdRkevbsSbt27fjpp58YNmyYMKfcsGFDE4FyhUJBbGwsiYmJeHh4VHmu8EknNTW1VOP3IF26dBGOYXBwMGvWrDF5febMmWWKzCsUCqKiokhJScHZ2ZmOHTuW+TlGge4LFy5w+/ZtunfvzqJFi9izZw/Z2dksXLiQ9957D2tra1q0aMG4ceMIDQ0VjFJZ46yIcHdxAgMDWbt2LQaDgVOnThEQEECnTp0ICgoSlgUGBgrr9+vXz+S9vXr14tSpUyUMaXncv3+fwYMH88knn/D0009X+H2PgrsphdWSUIMiQ3ovpbBmBvQAdSK0W9kEo7Iw6Iuazbdp04aLFy/y999/07NnT+FHUaVSCeEhDw8PWrZsScuWLfH09MTKyopWrVrRsmVLoOhkbdmyJf7+/uh0Oho1akSDBg1wcnLC1tYWT09PoTYzNjaWWbNmCd6Zo6MjBoNBUIUAyvwRgKKQUPGevlKpFE9PT5P3u7q6Co8tLS3Jycmp1LEp6/1GT9c4dnt7e3bs2FFCFQYQEriSkpJKvJaUlGSS4FXe/sbGxvLHH3/QuHFjOnToQO/evTl58iQymYyWLVtib29PvXr1SEtLE4xpdnY24eHh/P3330DRHKe3t7fwHbZs2ZJWrVrRokULnJyc6NixIxkZGcKf0YgamTRpEleuXGHGjBklyn+Kj93LywuNRmNyk1D89djYWHbv3m1y/E6fPk1SUhJWVlZ8++23fP755zRo0IB+/foRGRkJwIcffojBYKBDhw40b95cuNn7t+Hk5ERKSorg7ZXFg+dnQUGByXvKO582bdrEjRs3UKlUtG/fnoMHD5q8np2dzfnz59m2bRtXr15Fo9HQpEkTZs6cyezZs9HpdIK4/IOf5eXlRWJi4kPHabwpKn4evPfee4IQ94N07NhR8J7DwsIICAjA2toaT09PYZkxrAtw6NAhOnbsKERXfvrpJ5Nz8mFoNBqGDRsmyNI9LowiCSkpKcTExHD16lXOnTvH/ftpNbJ9taZ6Xm1Z1AmP1M6mZoZpbm5G79696dy5M4cPH+bvv//ms88+E143lnKYmZlx//59oqOjUavVXLx4kYyMDPbt2yd4PMZ5P7lcTnh4OOfPn+ezzz4TknRu3LjBn3/+iYuLC0qlkpkzZ9K3b98SiTyxsbEAZGRkkJWVJbxevEGCm5ubYCCg6GS7c+dOqfJvD6Oy6d+enp4EBgZy5MiRh67btGlTPDw82L17N/PnzxeW6/V69uzZY6LUUXwcer2evLw8CgoKuHjxIpmZmahUKqZPn056ejp6vV4oFSkoKMDS0hIvLy8mTJiAnZ0dYWFh/PTTT7zxxhtAkVLGCy+8gL29Penp6cI8aHp6OtnZ2Vy7do179+7xww8/lChDsbCwICcnh9mzZzNhwgRCQkIYOnQojo7/NLy+c+eO8DguLg6FQoGzs7OwvPi+eXp6EhwczIYNG0o9Zr1796Z3797k5+ezaNEiJk2axKlTp3B1dRXec/r0aWFOuqxM5LpKp06dsLCwYN++fSWmIipDeed148aNCQ0NRa/Xs3fvXoYNG8aNGzeEcPn69etRqVS0bduW5s2b4+3tTevWrYGiTG65XC7o3ELR92+UAoyLixMiQeXh6emJj49PmcLdD2JhYSEY/aSkJOHzAgICOHjwIOHh4YIhLSwsZOjQoXz99dcMGjQIhULB4MGDKauysbRjNWPGDGxsbFi+fHmFxlcZjMYxJyeH3NxccnJyTB7n5uaaPJbJZMJ8rZWVVdGfsmbk4Bztaydjvk4Y0vat7TgfnklBKR0sKorSQoq5mRRbW1tcXV3Zvn076enptG3bVrizbdu2Ld7e3vTo0YPffvuNNWvWkJiYyKJFi3BxcWHKlClA0ZzLlClTaNSoEVqtlsTERJ566iksLCx47rnn+Oqrr8jMzMTFxYUGDRowfPhwvvjiC3x8fHBzcyMjI4MLFy7Qtm1bNBoNAD/88ANhYWFCdq2xv6mxYfj+/ft58803eeqppzhy5Ag6nY7s7GyOHTtGYWEhERERODk5YWZmRmpqKjk5OSQmJpbIvjX+IKjV6gql5vfv35+33nqLbdu2CXeqly5dwtrammbNmpmsK5FIWLlyJZMmTcLDw4MXX3yRzMxMFixYQFZWFkFBQVy/fp2oqCjS09PZsWOHUFt55coVMjMzuXPnDgEBAWzevJn8/HymTJmCUqnk8uXLwmfu2LFDMHyl4eLiQk5ODp07dy7xmk6nY/369dy4cQNXV1fS09NJSEgQsnPlcjkHDhzAxcWF0aNHk5aWRnBwMKGhodjY2ABF4doxY8bg7e3Nu+++y7Bhw8pslBAUFET79u05fPgwPXr0QKPRcPbsWfz8/FAoFJw7d47u3bujVCqxtrYWtrN79246deqEh4cHDg4OSCSSf2UzBjs7O5YuXcq0adOQy+X06tULhULB0aNHOX78OB9++GG1P2P79u306tULrVZLdHQ0Op2OnTt34ufnh1Qq5cUXXxTO5ZdffpkPPviAPn36UK9ePRYsWMDIkSNNQs/Lli1jw4YNREdHs3nz5grVt3bo0AFbW1s++OADZs6ciZmZGREREeTn5wtZuA/StWtX1qxZw7PPPiss69KlC6+99hqurq40atQIQChTq1evHnK5nEOHDvHLL78IkbYHcXFx4fbt28LzL774gpMnT3Lu3LkKdzgzloA9aBDL+q9QKATDWPy/h4dHieWllYcZFEnciosqtYtRRbFUyni6Rc2pgBWnThjSHl2c+XRrXLW2YWEuw8zsn5PEeBKWxpw5czh//jwuLi60bNmSl19+WcgALI5EIkGhUODl5cXu3buZOXMmc+bMITg4mGeffRYPDw/atWtHu3btcHd358MPPyQ2NhY7Ozt69uxJUFAQAOPHj2fMmDGCt2EwGNBqtSblK56ennz44Yd89tlnNG3alLVr1+Ls7IxGo8FgMJCVlUVcXBxqdZGQ8N27dzl48GCJkhidToeFhQX29vZIpVJWr15NVFQUGRkZfPfddygUCiGlPywsDDMzMz766CPWrFnDrFmzMBgM+Pv7s2zZMtzc3EzKYPLz8+ncuTPLli1j6dKljB8/HrlcTuPGjRk5ciTHjh3DwcGBvLw85HI57du3FzRad+zYQXx8vJDkcPz4cebOncvy5cvR6/W0atWK1atXV+i7DgkJ4ZVXXiE/P58vv/zSROLKeLf7119/8dxzz5m879dffyU6OpqoqCh2796NXq9n+PDhzJ49m6lTp+Lv709CQgJt2rThxRdfJD4+nmeeeYbPPvtMuCF6EE9PT/bv38/8+fN56aWXkMlkdOjQgfXr16PX61m1ahXBwcFIJBJat24tREjOnz/P7NmzhRuyjz/+GB8fnwrtf11j7ty5uLi4sHz5cl5++WVsbGxo27YtCxcurNZ29Xo9MTExfPXVV0ydOhW1Wk2DBg1Yv349EyZMQCKRsHDhQrp27YpGo+Hnn39m/PjxJCYm0rVrVwoKCujduzeffPKJyXYDAwPx8/NDr9fz+uuv06tXr4eORSaT8cMPPzBv3jx8fHyEkpnyPMDAwED++9//msyPd+nShXv37pmEX21sbFi7di0jRoygsLCQAQMGMHDgwDK3+/bbbzNjxgzmz5/PokWLOHjwILdv3xY8a4PBwNSpUxkzZkypXmNOTg55eXmYmZmVMIJWVlZCo5biy6tbktSja33WfBlVrW2Ym0np8HTtSKnVmc5Gq7+M5qfj99DpKv9eczMJrwz34KVBDw/B/JspXn9alZZ6xp6v+fn5FBYWotFo0Gq16PX/3CVKpVLkcrngARsbpltaWlaqWXrxlnpPSqcfjUZDt27d6NOnD927dy/RscgoGlBaxyKlUvnE7Me/GY1Gw+3bt4mMjOTGjRvY2dkJair16tWr1ndQUw0cHiXGaZOKhFTz8vIwNzcv1TgWX2Z8/KgjJKvW3+CHw0loq2ADzMykjBvlRfDwhjU/MOqIRwrw8hA3fv09ldy8yh1FiQSsLOUM6FG/lkZWd5BIJMjl8nJ/BAoLC01KRfLy8gT91OzsbGxsbMrUSpVKpRVuDJGXl1chg67X6x/a2q8yPXGNf1Ux0MbWga6urnTq1MnkteLi2MYw8fXr14VjaTAYylTmEUUDqkdBQYHQ0/b27du4urqiUqkIDAzE3r52QnmPE71eX8IIlvU/Pz8fCwuLEkbQysqK+vXrlzCYT/L0QdCwhhw5eY+c3MrbAGsrGYP6lKwmqCnqjEcKcO1mDvOWRlS4nkgqAUtLGevfewqPBha1PLq6gcFgEFRiSuvao9FoTGori3tX9vb2j/xCK66CUlnZsfIMularfWj7wdIM8tSpUxk0aBCjR48uc53SDHR+fn6ZXZKMogGlHXNHR8cqtZn7t5Odnc3169eJjIzkzp07eHt7Cz1tjaVHNU1teqQ6na5M4/igN2lUASrNayzNm/w33aRdu5HFrIWXKzxXKpWCpVLOl6uepqF77fU6rlOGFCAqJpfXl0eiVuvLPZhKCyl2NgpWL1bRoP7/lhHVarWCsktp+qXGpumleUdWVlb/EyFIvV5fYaNbGak0o0xaZdRiZDKZsI2CggIhFJednS1kcj8YMjY+rqhowL+B1NRUQcMzJSUFPz8/VCoVfn5+T6RCkdE4lpat+uDywsJCLC0tKxRStbS0/FcZx8oSFZ3D7HfCKSzUk19QtndqqZRhayNn7X9a4eaqLHO9mqDOGVIo0iQ9dS6d7XsTuJNYAJIiT0sqkWAwGGjayJqXX3Sjw9P2yP6FWqTGjLmyvMrc3Fzs7OxKlURzcHAQPZxapLhwd2WNdGnrFl9HKpUilRZp7RoMBkHQW6FQYG5uLoh4W1tbY2tri42NDUql8qGh8Sf1R9lgMAilS5GRkeTn59O0aVNUKhU+Pj6PJQyp1WorFFLNyclBrVZjaWlZIqRaWvaqUql8Yr+HJxGNRk/Y2RS27Y4jNj4fqbTompBIJOh0BlR+1gQN96RTWydkstq3AXXSkN6KySF0bzy//nYfiQTUxRImzf/fRvTt7srIwR641/KdSG1hnHMrS2EEKFO30jhfKfLvwZjJ/aBxNba1zMjIIDs7m+zsbGFurLCwELlcXiJpy2iEjYa7eKlVZULdD/O6q2Lo9Ho9cXFxgucplUoFAWwPD49a8b6Nx7Eso1jcm9RoNGUaw9KM4/9KtOBRk5ymJyxcS/htPfk5+eRkF6LT6pDJZdjaKbGwMqdtExkBLWQ42db+b2GdM6QHfk7k4w230Gr16MoJk8vlEuQyCUvm+/NsB6dHN8BKoFary/QqMzMzsbKyKtWrdHR0xMLCQrxIRcqlPAWbtLQ0pFKpMPdta2trEjqUy+UmhrsqoW6gQkZXLpeTk5NDamoq9+/fR6lUCg0M6tevj7m5ucn6Mpnsoee+RqOpcAMArVZbbki1eGhVvO4eP+evaznwmxadHvTlWC+pBGQyeOl5Bf5etRu9qFOG9PufEln31a1KNbA3N5Oy9M3HY0wNBoPgMTyYYJKWlkZhYWGZc5X29vYlEhqmTJmCu7s777zzTqmf9zAdzuJYW1sTHh6Or6/vQ9etzHafZOLi4vD39yczM/OJzk58FDyoqWr0asvTVC1+M1cRTdUHpf6KG9nc3Fzi4+NJSEggJSUFKysrQYVFIpGUG+o2GAzI5XLBoBpD3cbyLp1Oh8FgwMzMjMWLF7Nw4UI8PDzYunUrrq6uvPrqq9y4cYOQkBAuXbokiEQ8SaVWD/L9998zc+ZM0tPTOXXq1BPXC/dRcS5Cy8EzWjSVSNxVyOCl7rVrTOuMIb0SWZStVaiufGcLC3MpWz9ph3uDmg/z6nQ6MjIyyszIVCgUZdYWGn80vL29a0RwvLYMXnnbLU0o/EG6detGUFAQEydOrPRnd+vWjbNnzyKXy7GwsKBr1658+umnpTbGF6k5NBpNqQlrxppZY8Jaaee1paVlqQYpJydHCNneuXOHhg0b4ufnh7u7O3q9/qHZqidOnCA+Pp45c+ZgaWmJhYUFM2bMwMPDgxUrVgjGdfjw4bz66qt069bNxAB/9NFH2NvbM3jwYK5cucLGjRtZvHixYLR1Ol2lSq0qEuo2MzOjcePG3L17Vxifv78/Y8aMYfLkyRWegmnUqBGrV69+4lRZHiVx9/RsOKiulBE1opDDrCFmONvVTpi3ztSRbv4mpkpGFECr1fPNvnjmTW1cpfcXFBSUGR4zli4U/zExilc7ODhUOJuwpgXH/02sW7eOiRMnkpaWxrBhw5gzZw7ffPNNpbYhimxXDoVCQb169ahXr16J14ydtIpfBzdv3hSuD51Oh42NjVB6kZeXR05OjtAn2dioIyYmhtjY2FJLNlxcXEpkq3bt2pV+/foxfvx4ZDIZycnJmJmZERcXR5cuXYRl8fHxjB8/vkQP3L179+Lh4cErr7zCiRMnCA0NZfbs2cLrxlKripZZZWdnV2j9zMxMRo8eTbNmzdDpdMTExPDOO++wc+dOpk2bVqHa59jYWOrXr09aWtpDS63+rRy7WDlPtDg6HZz6W8eLXf6HDWlKaiEXwzOq/H6tDg4dS2baOF8sLEq696X9MBQ3mDqdzqS2skGDBvj7+wvF9DURJjQKjhsNqVFwfNGiRcI6Y8eOxcPDQ2grtmLFClavXo1EIinRamzs2LFYWVkRExNDWFgY/v7+7Ny5U2iNWNzLTE1NZezYsZw8eVLQRzzx/5qqRo4ePUqfPn1ISUlh9OjRrFu3jsjISKZMmYJGoxEEgTMyyv+eTpw4QVBQEHPmzOGDDz5AJpPx3nvvCTJt5eHo6MjQoUNZv349AD/++COLFi3i1q1b2NnZCU3m4Z+av40bN7JkyRK8vb35+uuvTeoAt2zZwtKlS7l//z7Ozs5CizoRU4xNxytSyqFWq5FIJGRnZ5ORkYFerxfCpubm5uTlFQkrOzg44OPjg7Ozs4k3W96NZ4cOHdBoNFy6dIm2bdsSFhbGc889x+3bt02WNWrUSDCiFY3SJCYmMmPGDMLCwrC2tmbOnDmCBm1ISAhXr17F3Nyc/fv34+3tzZ49e9izZw8fffQR5ubmbNq0qcxWgRs2bGDo0KF07dpVMK59+vRh8ODBvP7663h5efHrr7+yfv16EhISsLS0pGfPnoJ278SJE9HpdHTr1g0bGxveeust4uPj2bdvH3fv3sXOzo4BAwbQpk0bzMzMkEgk7N27l3PnzqHVauncubPQlL4inrRCoXjikhWz8gzcSqx6n129AS7e1NHvGTlmipq/+agThnT/4SSqvesS2H/oNq399SW8yszMTJRKpYlX2aRJEyFsVVaoqiYpTXD89OnTJoa0OD///DMrV67k2LFj+Pj4MGnSpBLrlCV+/SDTpk3DysqK5ORkYmJi6N27t4lsGxTpkp4/f56srCzatm3LgAEDeOGFF/j8888fGtp9kOTkZDIzM0lISODIkSMMGzaMwYMHl9mE3khKSgp79uwR5oesrKz4+uuvad68OVeuXKFnz560bt3aRGWmuMh2ccmq3NzcMkW1/xcwzpFWpJQjNzcXuVxeakKOu7u7ILuXkJBATEwMEomEZs2aoVKp8PDwMPlRLj4VYrz+7ty5U2IqpLS5WRsbG5555hnCwsIEoxkQEICbm5vJsuLyYhWhIqLbP/zwA/v372fLli2MHz+e3r17M3HiRBISEtiyZQuvvvoq0dHRZX6GsS+tkYEDB+Lh4UFCQgIDBw4kPT2dPXv2mJzLI0aMICgoiKCgICQSCVevXsXPzw+NRkOzZs2YNGkSs2bN4uTJk4waNYqxY8fSsE2J464AACAASURBVGFD3n33XfLy8ti7dy96vZ6FCxeybds2xo4dS0ZGRoXagcpkshrP4q5OqdUfkeXL7FUECXD5to72TWve7NUJQ3o9Kht1NTVJCwr0/HLsMrp8tdA9xtfXt1LJE7WN0SsNDAxEpVKVK5O2a9cuxo0bJyg8hISEEBoaarJOWWLdxdHpdOzZs4crV65gaWmJv7+/EPoqzltvvSXoKD733HNcunSJF154oUr7qVAoePfdd5HL5fTt2xdra2uuX79epuDyzJkzef3117GysqJbt25C83qjqDlAy5Yteemllzh58qSJIS0usv0gZYlq11WKK3KUl6Vq/G9mZlaqcTQqchRf/uD1odVqhZ62169fx8bGBpVKxUsvvUT9+vXLvPGUyWQ4OTnh5FQy+c+YnFc8KhQTE8Nff/0lJOcplUp27tyJSqXi8OHDDBw4ECsrK0JDQ5kzZw6nTp0q9Twvj4qIbgcEBAiPhw8fzt69e3nrrbeQyWSMGjWKyZMnk5GRUamWhG5ubsLNW0XOZSNnz54lJyeHt99+G6lUSr9+/ejfvz9Hjhxh8eLF7Nq1i/DwcCH6tGLFCkaPHs2OHTsqNK7ipVYVqYPOz88nKyurQmHuqpZaRUZ7otVVT0pNrYXktNpJCaoThjQnt/p3IwC+jZ5i9GhVjWyrNggODqZr165ER0czZsyYctdNTEykbdu2wvMHPUiomNj3/fv30Wq1JmLFpYkkV1c4vDhOTk4m85UP297atWtLTVQ6d+4cb731FleuXEGtLpKSGj58uMk6ZQk+G0W1V65cyYQJE3j22WdZtWqVoPv4pKDX6yssV1VckeNB41gTihyFhYXcvHmTyMhIoqKicHFxQaVSERAQ8NBoQkWQSCTC2Ev73tRqNSqVikmTJiGVSklLS+PevXskJiZy9OhR/vOf//D3338LykVGDdn8/PwytTkBE9FtIzqdjoCAAOG5i4uL8FipVOLs7CxM6SiVRUmMOTk5lTKkCQkJwhgrci4bSUxMxNPT08S78/LyIiEhgfv375OXl2fy22DMZq4oRlWrmnYuiotmVMRIFxYWCo0tMrLqAdXXJM0r+B82pJbKmhlm/J0ofvrpdpVS+R8FXl5e+Pj48NNPP7Fp06Zy123QoEEJgemqYNQwjI+Pp0mTJoCpcPXDeJzJDqNHj2b69OkcOnQICwsLZs+eTUpKisk65Y2vLFHt2saoyFER45ifn1+qIoe1tTXOzs4lltd0WU9OTo7Q0zYuLo6GDRuiUql44YUXTEKVjwIzMzP69u1LTk4Oly5d4vnnnxekCENDQ9FoNLi6utK2bVvS09OJiIgAivINnJ2duX79OtnZ2Rw9epRbt24JYWZ3d/dKiW7XBOfPnychIUGQSKvIuWzEzc2NO3fuoNfrBWMaFxdHkyZNcHZ2RqlUcvXq1XIjWo+D4qIZlpZl970tLCw0Cf0nJyejU+dBDUzbWpjVzu9VnTCk3g0tuXAprUryOUbMzSS0auGOo2PRlxQdHW2Syv9gGv/DUvlri02bNpGeno6VlZUgOF4aI0aMYNy4cYLA9JIlS6r0eTKZjCFDhhASEsLGjRuJi4vj66+/pmHDiskNVVYovCbJzs4WmlP88ccf7Ny5s0LakAB3794tU1S7KhgVOR7WHae4Ikdp2ar169c3WW5pafnIa16NRigyMpJ79+7h5+dHq1atGDZs2GPvaatUKmnXrh2rV6820Svt0qUL69evp0ePHibeGMCrr76Ku7s7Fy9exN7eHjMzM+7fv09hYSGbN28mOzubgoICRo0axYgRI6hXrx7p6en8H3vvHR5VubX/f2YmyUx67wkJCZCEAEGUIi0oTTgg2FAQCyoK6MGDyhcEjiKgIBb0BQQrIgiKB3gVRBEsoQkEJSqQIoF00tskM5m6f3/k3fs3SWaSSQPi8b6uuZJM2Xtnz97P/az1rHXfTk5O3HrrrR16/NXV1Rw5coSnn36amTNn0rdvX6B11/LgwYNxdXVl7dq1PPvssxw/fpx9+/aRnJyMXC5n9uzZLFiwgA0bNhAQEEB+fj7nzp2TUtPXGoIgUFNT06Sws6ysjPLyckmvGuqzEEqlEqV3BHWYEdrBpo4K8Pf6LybSKbcFs+frApqVMmoBggAz7umDh5tjo+fr3VAsv9DGpfzN2V919CDXnOG4JSZMmMC//vUvbr31VuRyOatWrbJ7DaQxNmzYwMMPP0xQUBAxMTFMnz6dM2fO2PXZW2+9lfj4eIKCgpDL5TZn0Z2Bd955h2effZannnqKxMREpk2b1mLVsIjmTLVF2HLksEaOoiOHtcgxKCjounbkEASBoqIiqcezpqaGXr16MWLECLp3737dtQ0lJiby888/NzC8HjFiBBs2bLBaaCSTySRP3ICAAEaOHInZbGbz5s0sWLAAo9HInXfeyeLFi5k9ezZ6vZ6goCAmTJjAL7/8wokTJ6iurmbv3r14e3tL0WxNTY3dTjOTJ0/GwcEBuVxO7969eeaZZ5gzZ470emuuZScnJ7766ivmzZvH6tWrCQ0N5ZNPPpGWJV599VVWrFjBkCFDKC0tJTQ0lLlz515VIhWNM6x1QlRWVuLg4ICzszMKhQKTyYRGo8FoNOLv709wcDBBQUEEBgYSEBCASqWirNrMuv/o2xVMCUD/6M6ZlHYZQYYnFp7lfFp1mz4rkwmE+JUx90FfhgwZgkplvxuM2ENqrS1G9Oe0ZX91rWfvbcWiRYsoLCxk69at1/pQOhziAGhPtWpjR47mJOS6miOH2WwmLy9PijwByQC78frbfzOs2Q5aClWItoO21Mn+ygpatqwBy8vLqa2txcPDA09PTylTpdfrqampobKyEnd3d4KCgggICCAwMJDAwEC8vb2bzf5t+kpHdlHb6Eomg77d5cwY3TlZsy5DpD+fKePfay7Y7UVqCaVSzpol3cnPOUNGRgaDBg1qNaFag7VSfsubrHEpvyXRuru7XzfN1Glpaej1evr27UtycjITJ07kgw8+sFoxeD3C0pGjpWpVvV7fhAxteTle7bR+Z8NoNHL58mVSU1PJyMjAzc2NmJgY4uLiCAwM/Ev9r1cL4nqeNTJRq9W4ubk1q5d9PcOaWb3l+GZpVi+mzMXosqqqiuLiYvR6vUSU4iMgIKBNy0AZuSa2HTZgaEPtqaMDzJnsRKhf50wQuwyRAmz6+BK79+e3ikxVSjlPPhLNHRPrG7TLy8s5evQo6enpDBw4kCFDhkhVdx0Ja6X8lo+6uromUayl6MPVTKclJyczffp0CgoKCAgI4IknnmDx4sXXdGC15shhixxFQQh7hMf/2xw5GlfaBgQESJGnWDH6NzoHJpNJMg2wNg4oFAqb0ayHh8dVuU4NBoPNMaqyshIXF5cmY5RKpaqvpK2spKSkhMLCQsrKyvD09GxCmp6enh36f3x72sDx86ZWkamjA0wY5MDQ+M4bU7sUkQqCwOatl+0mU6VSzpwHu3PP7WFNXhPFn9PS0rjpppu4+eabO4VQbcHS+aXxbK+x80vj2WxXJQNRrNye1KrJZLLbrupvR46GqK2tlSpts7OzpUrbmJiYq15p+zesQxAENBqNzWhWq9VKE21rE257Ow0sJ/TWokpxQm9LAKOyspKioqIGD5PJ1CQtGxAQcFW6HwRB4GCy0W4ydVTA+EEODO/TuYFJlyJSET+fKWPLzmwuZtViMpmxbJFydJQhA/rFezLrvkgS4j2b3ZYlod54443cfPPNzZZmXw1YplSs3WSATcHwq+1FKq572OPlKAiCXSlVNzc3lErl3+TYClRUVEjFQkVFRURHRxMbG0vPnj2v+xTi32gKMVK0NgaIkaJlWlW8X8RlDsslJ4VCYbMrwd3dHahvcyoqKqKwsJDi4mKKioooLy/H29u7SZR5PSxLpeeaOPyrkStlAuZGdmoKef2aaESgjDEDHOke/LcfqVUIgkDqn2o+3H6Z5JTKeu0nAUQdwVuG+fPQvRFERdhXUQdQWVnJ0aNHSU1NZcCAAQwdOvSaE6o1iLqnljeX5e+1tbV4enrajGZbWpsQBEEiR3vWHQVBaLEQR3xd1AH9G+2HIAgUFxdLxUJqtZpevXoRFxdHVFTUdVdp+zfaB51O18DyrqioiNLSUqqqqqirq5Ms4EThBXFtNiAgAH9//wbtfGVlZU2iTJlM1oQwxR7z6xW5JWYOnzGQkSc05AAB+nSXMXqAI0E+Vyeo6HJEWlyqY+FLf5B/RYtOb8ba0cvl4Oggp3eMOy8viW/S8tIcKisrOXbsGBcuXOCGG25g6NChdpe4Xw+wLDtv3KNVVVUlaaYqlUrp5jObzRgMBjQaDRqNRlKYsSe1+jc5Xj0IgkBubq4UeZrNZmm9s1u3bn9X2nZhWFYHW8tCGY1Gm1moxm14os9sQUEBeXl5lJSUUF1djVarlUQcXFxc8PT0JCAggLCwMIKDg7tMp0FVrcDHB/WUVgkYjfX82RgyGTjIIcxfxgPjnHBRdu4Y1aWINK9AyxPP/UpNrdGullJHBxm+Pk68/8YAvL1aVyVWVVXFsWPHOH/+/HVJqGJkak9Ktba2FoVCgaurK87OzpL9ktlsxmg0UldXJ/VxWasu/G8o5b9eYTKZpErb9PR0XF1dJfIMCgr6exLThWA0GpsQpDWPV2uZJFdXV5vftV6vl4p+ioqKpNSsg4NDkyjTy8uLmpoaq2QtilC05J98LVFWbeadL/VodQ3TubagkIO7Czw5RYm7S+cde5ch0qpqAw/98wxlFXqrUagtOCggPNSFD94cgFLZeiKorq7m2LFj/PHHHxKhdlbBRmNHjpqaGi5evMidd97J7t27GxCn6MjRUrWq+LutQoD4+Hg2btzIqFGjbJbyV1RUUF1dLWm2WuuZ/auuw0VGRvLBBx8wZsyYq7ZPvV7foNLWz8+P2NhY4uLi/q60vcqwx7hehHj/2ooqNRoNnp6eNiv17Vl2sVb8U11djZ+fXxPSbO3E31JxyNr/oNPpmu2Z7ew0sKZO4K3dOtQa61GoLchl4Ocp4593OOHo8F+sbASwc28uVWpDq0gU6r1IrxTV8e2PRUy5LaTlDzSCh4cHEydOZPjw4Rw/fpyNGzfSv39/hg0b1iyhigPw6NGj0Wg0dttVWTpyuLm5SWLuYWFheHp6NiDJjrhwz58/L/2uVCoJCgpqIFAvwlopf0FBgXSzNS7ltxwsLEv5P/74Yx599FGpQjogIICFCxcyd+7cdv0fos9pXl5eu7ZzrdC40jY8PJzY2FjGjRsnFYT8jbZj1KhRzJw506r5QWtgNpubbWmRyWTSdb9q1Spuv/12HnnkEek+sDf9rtPppMhSfBQXF+Pk5CRVzMbFxTFq1Ch8fX07JFskk8lwd3fH3d3dqkSoTqdrUPFbWloqqcBVV1c36DRoPNHuiI6Io38Y0ehaR6JQH7lW1Aj8kmFiSO/OobwuQaQGg5m9BwowtNFKrU5nZsfuXG4fH9zm1ISHhwcTJkxg+PDhHDt2jI0bN9KzZ0969uwpzeQsU6pqtZovvviCn3/+GaVSaTVq9PX1bfJ8Y3LMysoCYMCAAR064zMaja3anlj5Zy0islbKn52dTUpKChUVFWi1Wmkm/vvvv9OnTx927dqFj48Ply9fZvTo0QwZMkTyGb0WaO356AhUVlZK652FhYVER0fTt29f7rzzzr9shN8VILamlZeX8+eff1JRUcH27dupqKiQWtMsMzO9e/e2ShgbN26UjChsQRAEKioqmlTM1tTU4O/vT0BAAEFBQcTHxxMQEHBNCyCVSqUU7TaGtQnGhQsXpN/lcnmzPbMtTTBMZoGfL5jaLBFoMELS70YGxyk6JT3dJYj0yMlSzPYkxJtBWaWe8+nV9Im13g5jzZHDlgCA6Mhx8eJFzp8/j7e3N926dcPHx0dy5HBxcWHixIlMmjSJbdu28cEHHzBkyBA+/PBDvLy8eOeddySbpsuXL3Pfffdx9uxZBg8eTExMDFVVVWzfvr3JcRYUFDBnzhyOHTuGj48PixYtkky9H374YcLCwli1ahXQNEqLjIxk7ty5fPrpp6Snp1NbW0uPHj2k1KVOp2PRokXs2rULqBfGf/XVV1EqlVZTXDKZjD///JMePXqQlJTEc889R25uLh4eHixYsIDnnnsOaFjKn5qaitFo5JdffpF62ry9vdm8eTMTJkzA29ubl19+mZSUFHQ6HQkJCWzatIn4+HgADhw40GQ/c+fOZcKECeh0OilLkJGRQVBQEGvXruX999+nsrKS0aNHs3nzZnx8fMjKyqJ79+588MEHvPTSS0RGRnLkyBG2bdvGsmXLqKmpaeJrefr0aebNm0dGRgbOzs7cf//9kjeqPRAEgZKSEqnStrq6ml69enHzzTcTFRV13bgQ/ZUhXsfffPONdE3279+fjRs3olQqycvL47PPPiMrK4uQkBAGDx6Mg4MDgwcPxtvbm8LCQhYsWMAvv/yCv78/K1eubGC31hzq6uqk6HLBggWcO3cOnU5HaGgoc+bM4cYbb8TLy4vHH3+csrIyHBwceOyxx/jqq68oLi4GYObMmdx0003861//6szT1GpYEmVjiClvy+g9Ly+PP/74o0nK21rPrJOTExeyrBeWtga1WsguEogM+i8l0qSfS9HWtV2wHuqNvffuv0BVmdlqarWurk5y5GgcOTbnyFFTU8Px48dJSUmhb9++9OvXDw8PD6m4R3zfqVOneOihhygtLeW9997j0UcfJT8/H5lMxowZMxg2bBiHDx/m9OnTTJw4kdtvv93q/zF9+nTi4+MpKCggLS2NsWPHEhUVxejRo+06Dzt37uTrr7/Gz8+vSQT28ssvc/LkSVJSUpDJZEyZMoVVq1axcuXKFrf76KOPsmvXLkaMGEFFRb27jghHR0cCAgIICAggOjoab29vZsyYIZ2X1157jXvvvRcvLy8qKiro0aMHkydPprq6mgMHDnDbbbfxxhtv4O3tzYMPPsiGDRsYP348ZrOZ7OxsXF1d+eabb5qkdt966y3+93//l6SkJPz9/Zk/fz5PPvlkAwP0pKQkUlNTkcvlXLhwgblz53LgwAEGDx7M888/32B7Tz/9NE8//TQPPPAANTU1nDt3rsXzIggCeXl5UuRpMpmIiYlh/Pjxf1fadiIs5TvLy8spLy/n9OnT1NXVkZeXJ02oxIE/LCyMhIQEnnnmGfr27cuZM2e4fPky48ePp3v37vTs2ZPa2lomTJjAihUr+Oabb/j9998ZN24c8fHx0kQP6iflot5samoqO3fupKioCK1WK90Ht9xyC++99x5hYWG8+OKLfPrppyxcuBAAT09PfvvtN2688UaOHj2Km5sbqampxMXFceTIEZ599tlrck7bCkvTgLCwpuI4BoOhSadBY3euOo9/oCOyXcehN0JajonIoI6/57oEkVZU6jtkO/lXqqmtlUmCyY3JsS2DmpubG+PHj2fYsGGcOHGCTZs20adPH8zmhsQfEREhRY4PPfQQ8+bNo6ioCL1eT3JyMt9//z1OTk4MHz7cJonm5uZy7Ngx9u/fj0qlon///jz22GNs27bNbiKdP3++TbPrTz/9lPXr1xMQEADAiy++yBNPPGEXkTo6OnLhwgUSEhJszkxFnDx5Ei8vL6l5/KmnnuKWW26RUi6W/8sjjzxCSEgI3bp1w2g0IpPJ+Pbbb8nKysJoNOLh4cH58+clK7fU1FRp/++++y4bNmyQbt7ly5fTrVs3tm3bJm1/+fLlUlHGf/7zHyZNmiQ5iKxcuZINGzY0+B8vXrxIaWkpfn5+DBkyxOr/J1bapqWlkZ6ejrOzM7Gxsdx1110EB7d9eeFvNERz/dQ1NTV4eHhI14JCoSA8PBwPDw8uXrwokZaI3r17ExYWxldffcUff/yBq6srffr04aGHHuLIkSMA7N+/n8jISGbNmgXUL7dMmTKFDz74gHvvvVdaxywpKcHNzY3a2lrkcjn9+/dvIso+efJkad/Lly/H29ubqqoqPD09SUxMJCkpSfITvfvuu0lKSkKlUlFdXU1CQsLVOL1XDY6Ojvj7++Pv79/kNbEtaOt3AuqK9u9Lrf0vNvbuqIHHaDCgVusQBAGz2dzkZ3uMkd3c3Bg3bpxEqDU1NZw6dYqBAwcCNCjgEdc5ampqKC0tlRqlRYSHh1s11y4oKGigRgL1BG2v5Zm4bVsoKCggIiKiwbYLCgrs2u7u3btZtWoVixcvpl+/fqxZs4abb77Z6nuHDBkipYiLioqYPn06S5YsYfXq1ZhMJpYuXcoXX3xBSUmJNLnx9/cnOjqaAwcOsGrVKl599VX69u3LkiVL6NGjB4cOHUIQBH777TdpMM3MzGTSpEnI5XJkMhkymQy5XE5mZqZUIWl5PgoKChr87erqiq+vr/T3hx9+yAsvvEBsbCzdu3fnxRdfZNKkSUD9utrFixdJS0vjzz//lCptH3744Qbb+Bv2QxCEZhW+zGZzg7W2kJAQ4uPjJYUvy3v59ddfJzg4WLIys4aSkhKMRmODa0C8H0wmE+fPn+fkyZO4ublJY4bZbGbo0KGMGTOG0NBQBgwYQEBAAEqlkj179kimAJawdY2XlpZKRPrVV18RFhbGyJEjGTVqFNu2bUOlUjFixIi/ZBZDnFRbZgrVarX0/ZdqhoK8/UblnTWH7RJE6uvdfusbmUwgKtKfnj2dpfXPkpKSBl+cRqNBqVTa3VJijXRdXV0ZO3Ys7u7uODo68u6771JQUGDTpDs4OFhaJxDJ1BqJAoSEhEiuEiKZ5uTkSDNXV1dXNBqN9P7CwkIr58H2lRQSEkJ2draUpsrJySEkJMSubQ8cOJAvv/wSg8HAhg0bmDZtms3/wxKBgYHcddddbNq0idWrV7Njxw6+/PJLDh8+TGRkJFVVVXh7eyN2aTXez+zZs8nNzSU/Px+lUsl9990H1A/CW7ZsYc2aNfTo0aOBxui+ffuk4//888/x8/OT1mIuXrwoFR5pNBrKysqkY+3Zsyc7d+7EbDazZ88e7r77bn744Qeys7PJysoiLCyM2NhY6fv/Gy3Dcv28MWFWVVXh7OzcYL0sJiZG+r0t7jzNXceikk96ejpeXl4UFRVx6NAhCgsLWbNmDTk5OcTFxbF+/foGfZmtPYaWrvHExEQWLlxIWFgYiYmJDB8+nDlz5qBSqUhMTGzVvq4ljEajXX3uovGEo6OjtNxkNpvR6+szkW5ubijd9OjaGUzKAI9O6iXtEkQ6ZmQAx06XodW23dVVIQdN1RmOHBGIiooiOjqayMjIBkoeYvWptS+/rKyswZev0WhwcnKySbomk4lu3boxatQo3njjDYqKiti3bx8jRozAy8tL2mdERAQ33XQTy5cvZ9WqVfzyyy/s27evQepHRHh4OEOHDuX555/n9ddfJyMjgw8//FAqSurfvz9vvPEGy5YtQ6/X89Zbb7XqHE2fPp1Vq1YxcOBAZDIZK1asYObMmQAkJCRw/vx5UlJSiI2NZfny5dLn9Ho9X3zxBZMmTcLT07NJNNAcysrK2Lt3r0TearUapVKJr68vGo2GJUuW2LWfwMBASb1JdJyYN28e69evZ+vWrSQkJFBSUsKJEyd49NFHycjI4I033iAhIQG1Wk1paSkhISG8++67zJ07l169evHDDz9gMpn4448/CAoK4ocffmD06NGo1WpOnTqFyWTi0qVL9OvXj6lTp15V04OugtaIs4vRZXR0tFR40tEFWJbXcc+ePVm0aBEAR48e5eTJk8THxzNr1izmzZuHIAgcPXqUiIgIFi5ciE6no0+fPuTk5DB06FAAzpw5g5ubW5OoU4QoeCJCoVA0e41D/YTN2dmZ7du3s3jxYjw8PAgMDGT37t3MmzevQ89Ha2HpytSSZaHRaJTsCJ2cnKR71Wg0otPppJ55FxcXAgMDrQrBiAYdaTkmdvxgQG9o+7E7OEB8ZOeIynQJIh1yow9OjvJ2EWm3MDdWLp9HYWEhmZmZnDp1it27dxMcHCwRa0hIiESGLUGsRLNGurm5ueh0Ok6dOkVBQQGZmZn1+sCpqaSkpODh4QHUV4FWVVWxcuVKli5diq+vLwMHDuTee++VNDMbY+fOncyZM4eQkBC8vb156aWXGDt2LAAPPPCANMsV13LeeOMNu8/RsmXLqK6upl+/fgDcc889LFu2DIBevXrxwgsvMGbMGJydnVm9ejXvvvuu9Nlt27bx1FNPScU01iqORfz8889Sda2LiwujR4/m7bffBuDBBx/k4MGDhIaG4uPjw8qVK9m0aVOL+4mNjWX69OlERUVhMpm4cOECTz/9NIIgMG7cOMki7t5772XKlClSajcuLk6aBf/jH/8gODiYf//73+zevZtZs2bx22+/oVarOXLkCB999BHPP/88RqMRHx8fnn76aYKCgjAYDBQWFra6V/CvgtbahXXr1o3+/ftfNbswQRAwmUyUlJRQUlLCXXfdxfDhw1EoFJLnrkql4sYbb2T37t08/fTTLFy4kNjYWB5//HF+/PFHnJyccHJy4rvvvuOZZ57hmWeewWw2k5CQ0Gzl9ty5cxv0SN9///1s3ry52Wsc6qPSkydPSv2ciYmJpKWldUqLmDVXJlvkaOnKZC1j5+3tjU6nQ6PR/P9p2dJSmw4z3t7edrWd9QqT46igXUTq7Sb724906+fZbP08G30beklVSjkLn+zF+Fsa9j8ZDAays7PJzMzk0qVLVFdXExkZSXR0NFFRUR2mImMp51deXk5KSgqZmZlSX6alMXVtbS27du0iNDSUadOmtSgE/3fLRMdDEATy8/OlNhWj0dhA07Y5M+f2qtdcr+gqqldGo5GSkpIm6j9vvfUWd999NxMmTGggyv5XvH9E4wl7LQsbuzLZ8vG1dJZpbMfm4ODQrMNMR0yWfkwx8P2vbesldXKAKcMcubFX50SkXYZINVoTjy74hYLCOkwm+w/ZyVFGn0+GbQAAIABJREFUbE93/uflBBwcmp+NqNVqLl26JD0cHBwkUu3evXuHpu60Wi0nT54kOTkZuVzOLbfcwg033MDBgwe54447OHDgAFFRUS2uL4htNvZYk3XVQfxqwGQykZWVJbWpqFQqSZavNZW2naWn2tmwFE235ltpMBialYe72jrM4vE2FjKoqKjAx8engVReeXm5FNFZFtN1JVi6Mtmz7iiTyeyq87B0Zaqrq7M5WRLrMmxdu1djsqQ3CKzfq6esWrBLZ1eEgxxC/WU8PskJhbxz7q8uQ6QApeU6nnjuLOUVegzGlg9b6SQnPNSZjWv64+rSuiy2aFMlRqu5ubn4+/tLaeCwsLAOGTy0Wi3r1q1j7dq1aLVawsLCWLZsmVRi39Ix6nQ6u2eeljdXS7Zn/w2uLo0rbX19faXI08/Pr8P315EOH22B6AxkbaCsqKhAqVTajCquJckbDIYmcnlFRUUoFIom+rKN+6MXLVrE9u3bWbRoEfPnz78mx28L4v1r7V61lloVXZnstSy0tj+1Wm1TsF5csrD2/XfE9dcRUGsENn5Zr7drj3GJg6JeZ3fOZCdUTn+L1kuorjGw/LVUUv6owiwIGK0QqpNj/QkbOdSf5//Zq01i9Y1hNBrJycmRotXy8nIiIiIkYvX19W3XQFNXV8epU6c4ffo0PXr0YOTIkR3aNtE43dNSoYDoM2rPrLYrmXBrNBoyMjJIS0vj8uXLUqVtTEyMtHZ9rSBGBNaiWXsigs72qu1sCIJAVVVVE8KsqqqSRNkDAgIk0uws84j2oC2uTK2xLGwJ1sQNrGVErKXhr+VkqTXQ6gQ++0FP5hUBQbBOqA7/N+THR8q5e6Rjp4nVi+hyRCqioFDL5q2XSPq5rEGq19FBxsQxgTwyo3uHtM3YQm1tLZcvX5YiVkAi1aioqDZrYloSanR0NCNHjuyU6KglNDb3bm4wMJlMNkm38fMqleqq36xVVVVSyragoICoqChiY2Pp1atXl6m0FQt6ysrKuHLlCkVFRZSVlaFWq9FqtdL7ZDIZzs7OeHh44OvrS2BgIMHBwfj6+l5XhVB6vZ7i4uIm1l9OTk5NosyOEmVvK6y5MtmahHaUK1NLx2IrqvyrrtFbQ3m1ma+OakjLkyMgQxAEZHIZMsFMQhRMGubSqdZpluhyRCoIAl8fKuTjz7OpqjY0kQ6UyepTusGBKh67P5LEoU3VMjrjmMrKyiRSzc7OxsfHRyLW8PDwVguii1W/p06dIjo6mhEjRlhV/rgeYDAY7E5PiSXx9szAxdL3tsBS07ayspJevXoRGxtLdHT0dV9gIoqm2+qttHTZaLxGJbaaWKZw6+rqbFZNdkaLiSUsRdktH2q1Gn9//yakebVE2cW2HHuuWWuuTM1dw+01P7AUgLeWhrd0mLHmtHS9TJY6C4Ig8PXhQrZ+lkNltZ46Xb1ZucJBgdFoAsGMk6OcQH8Vs2dGMmpY54+bXYpIjSaBl9elcfRkKXW6lhPkSqWcuyeFMueh7lc1CjKZTOTl5UnEWlJSQnh4uBStBgQE2H08Op2O06dPc/LkSaKiohg5cuR1S6j2QOxDs2d2r9frrQ5W1mb3KpVK0h9OS0tDr9dL650RERHXxfqOCEEQqK2ttblWqtPprIp3i1FFawdqvV5vdW20vLycqqoqXFxcbK6NtWYyo9PpmhBmcXExKpVKsv6yjDI7esAXjSfsyaKI4iv2ZFGsuTK1F3q9vkkKXvyOREsya9+/2Fv53wqjSWD12+kknSixmwPunBjCvFlRncoBXYZIBUHg5XXp/HiiBJ0dJ1CESilnxp3hPDIjsvMOrgVotVouX77MpUuXyMzMxGg0EhUVJT3sUcHR6XQkJydz8uRJIiMjGTlypKSJ+1dF47Ygaz/FtT+TyYRcLpeUcHx8fGxWLzs7O3f6rN1SNN0aYTo6Otqsgu2odgF7YDabpX4/a8cpCEKT4xSrdGtraykuLpbSsrW1tZIoe1BQkLSm2Z6Bv7WuTCqVqgkJqtVqpk2bxoULF/Dy8pKetza5El2BDAZDu8hTEAR69+7N8uXLiYmJaRJVNjbJtiTNq2GS3RUhCAJr/ied74/aR6IiVEo5900N47GZtu3s2osuQ6TfHy1m9dvprTqBIlRKOetW9qNvnHULtauN8vJyiVSzsrLw8PCQ0sARERHNptpEkfuff/4ZX19fvvjiC5KSkvDz82P16tWSqwrUS5E9//zzlJaWMnbsWD766COpN7ZxoYZWq5WUgKzt8/nnn+fzzz+nsrISf39/pk6dyrp16zrojDSFNds2qI9oLSttvb29G6x32lO9rNPpcHZ2titN15yZga12gfLycmpqanB3d7dpDdVV/EbFazUvL4/i4mKqqqoarMkqlUo8PT3x9/cnKChI6o1urnjJZDLZVBCz5cq0Zs0a1Go1CoUCZ2dnhgwZwrJlywgICLDqymSJ1pBja95rNBqZOXMme/bswcHBAUEQEASB+++/X1pCsBXpu7m5dYnCnusJPx4v4eW30qhrgxOYSinnjZf6kRDfORzQZaY9277IaROJAuj0Zj7dncuaZdcHkYqDzU033YTZbJbUj44ePcquXbsICwuTiDUoKKjBDefk5MSwYcMYOHAg//jHPygpKWHTpk14eXnxwAMPkJCQQHx8POfPn+eJJ57g66+/ZsCAATz++OPMmzePzz77DKgXzBdRW1tLYGAg99xzj9XjXb16NWfOnOH06dMEBweTnZ0tOWJcDWi1WtLT00lPT+fSpUuEhoYSGxvLqFGj8PZu6DJjT+Wt5UBuOWir1WoKCwubDOROTk44OjqiUCgQBEGSOBMEAXd3d7y8vPD19SUgIEAyeb5e2gXshdlspqysrElqtq6uToosb7jhBik1q1QqpXaaiooKysrKKC4uJiMjg6qqKmpqapDL5SiVShSKejNlk8mETqfDYDDg7OyMu7t7g4lLc65MGzdu5PPPP2fMmDEUFhYyfvx4vv76a15++eVOPS9ardZmtF5TU8Ply5eZMGECs2fPbhJZWsqP/o3245NdOW0iURA5IIeE+L4dfFT16BJEevFyDbn52pbfaAOCAKd/Lae8Qo9PJ1bytgVyuZywsDBJoFqn05GVlUVmZia7d+9Gq9U2SAN7etZPBgwGA0lJSZw9e5bq6mpOnDhBv3792Lx5M+vXr+fTTz9l8uTJDSzB4uLiGgjei/jPf/5DQECATYPi5ORk7rjjDknAXpQgFBEZGckTTzzBtm3buHLlClOnTmXTpk1S1LV//36WLVtGVlYWvXv3ZvPmzZIMYW5uLk8//TRHjx7FbDYzffp0nnzySebMmYPBYJCqfLds2cKOHTsIDAzk6NGjJCUl8eWXXzJixAiWLl3Krl270Ol03HHHHaxbt67ZdKJCocDd3R13d3epXaC8vBwHBwfMZjN1dXWSaLazszOenp7SOqyjoyNyubxJD29JSQlnz561mlq0te52rYhWo9E0ETIoKSmRNF0DAwMZMGAAvr6+ODo6Nph0ZGdnc/78+SapVZ1Oh4uLC25ubvj5+RERESFFpGazGYPBIFW+VlVVYTAYMJvNODo64uLiIhVDiT2LzUWDQUFBjB8/npSUFOm5r7/+mmXLlpGZmYmnpyePPvpoAz1oS4waNYqbb76Z77//nvT0dIYNG8bLL78syXgCzJ49m71792IwGBgzZgz3338/3t4NHWY8PT25ePEiYWFhkguQJSIjI/nggw8YM2YMZrO5RZP5jz/+mH//+99oNBoWLFjA0qVLgXqbtQsXLqBSqdi7dy/dunVj69at3HTTTUC9a9E///lPjhw5gpubGwsWLJB6ZttrRn+94FJ2LTl5mpbfaAOCAGdSKimr0HdKN0eXINJ9313BYGyfsTcyOHykmGlTmhrLXk9QKpXExMQQExMD1LduZGZmkpmZyaFDh3B1dSUqKgqdTodCoZDE3m+66SaysrL4/vvv+eyzz/jll1+49dZbpe1GR0fj5ORERkYGN954Y4N9bt26lQcffNBmqmnIkCG8+eabODk5MWLECPr06dPkvZ9++ikHDx7E1dWVyZMns2rVKlatWsWvv/7KI488wr59+7jpppvYvn07t99+O+np6Tg4ODBp0iRuvfVWtm3bRkVFBV9++SXHjh1j8uTJnDt3jj179kjH/u2337Jr1y4OHDjA/v370ev1LFq0iEuXLpGSkoKjoyMzZsxgxYoVrF69GmjaLtBYsUej0TSpaI2KipJ+b01Fq61il+achuytBG0L6ZpMJkpLSxtEmIWFhZJKkYeHB87OzoSEhBASEiIR3R9//MHJkyelYq/Gx+jl5UVYWFiDY2ytE4soOSh+J8XFxaSnpzeQHLT8TgwGA6WlpWi1WsrKyvjmm28aXN+urq588sknxMfHc+7cOcaOHUv//v2ZOnUqBkO9QGt6ejrV1dWUl5fz7rvvMmfOHG677Tb+93//l3nz5rF48WLpPOt0Oi5evEheXh6DBw9mzZo1NoXp7cH//M//tGgyf+zYMdLT08nIyGDQoEHceeed0j6/+uor9uzZw5YtW1i2bBlPPfUUJ0+exGw2M3nyZKZMmcLOnTvJy8tjzJgxknl8W8zor0d0CAcg8N1PRUy/w7aVZFvRJYg0t0CLuZ3nUK8XyC9se1R7reDp6cmAAQMYMGAAgiBw5coVKQ3s4ODAli1bpGrgPn368PvvvxMZGcmlS5cICwujoKBAiiQ9PT1Rq9UNtp+Tk0NSUhIffvihzWN4/vnn8fb25tNPP2XBggX4+vqyevVqHnroIek9Tz31lOTjuHTpUv75z3+yatUq3n//fZ544gkGDx4M1Juav/LKK5w8eRJHR0fy8vKYMGECH3/8MTqdTvJvVCgUXLlypcngNWXKFIYNGwbUTzref/99UlJSkMlklJSUcMcdd7BkyRJuuOEGaZCWy+UN0m7h4eH069dP0gHtqMIjuVwuEU5gYGCz723cfmHLaciy/cJW9bJKpWrQMiNOFjQajWRNJaakRd9d8X+Wy+WoVCqrUXN72o9aglKpJCgoqIFPrwix/cMylWowGHj44YclYZGYmBgGDBjA999/j5eXl3S+//jjDyorKxk0aBDvvPMOmZmZXLlyBYBff/1VUj66++67WbBgAV5eXtx3333079+fSZMmSdZ/a9euxc/PDz8/PxISEvjtt99sEunrr78uGcA7ODhQWlra5D32mMy/+OKLODs7k5CQ0GSfw4cPZ+LEiUC9OYXo7JScnExJSQkvvPACUN/LPnv2bD777DPGjx9vtxn99Y68juAAg0BBJ3FAlyBSXV3bXV8sceLnX6gu3NEh27rWKC8vp66ujpycHHJycvjxxx85ceIEhYWFHDx4EIVCQU5ODu+//770mdLSUnbu3ElSUpL0XFJSEuHh4XzyySct7nPcuHHccsstnD17llmzZpGcnIy/vz+VlZUcPXqUoqIiAIqLi8nJyeGll17i8OHDZGVl8dprr0nbMZlMrF+/HplMhlKp5Oeff5ZeO3PmDGfOnOHs2bPSNkSIzjnic6KdXd++Ddc9zGazlKITceXKFWlA7Yqoq6ujrq7O6iDdHPR6veTrKKK6uprq6uqOPLxOh16vZ9q0aURHR5OVlcXu3bv55ZdfyMrKAiAvL4/Dhw9TXFyMyWTCaDQSHx8v2XkB/Pnnn5IqWX5+Pu+88460bYPBwOLFi6Xo9b333pOi0+LiYnbs2EF6enqT40pJSWHQoEGMHj1aek68PisrK/nkk084fvw4Fy9eZOLEiQ0mJoIgsGjRIsnpydY+f/rpJ8rLy6Xtir3BL7zwAqmpqeTl5TUoXhMEgW7duvHSSy/Rv39/9uzZw2uvvYa3tzeJiYlStqsrIS0tAfBu8X0tQdMOB7Hm0CWI1N29YxrGb0iI4Z5JN0qDi3gD2fq78Wt6vR6z2SwVn4jWSuJDfK7xa829V3w4ODi0avZfW1vLRx99xIwZM+jZsydQ7ycaGhpK3759OXLkCBUVFZLt0smTJzGZTDzzzDMNbiTRHu2RRx5p1bn08/Pjlltu4a677mLLli2MGDGCOXPmAPDNN9/w7bff8uKLL1JQUCA52aSlpZGRkYG3d71Bc01NDUlJSSxduhSFQiG1s4g+lenp6YSFhVFeXo5er0elUuHr68vgwYOlNaqNGzeSmpp63YuRt8WRw8XFBUdHxwaFOnV1dbi5uUmqReL6umhH1pxEnbW2EVGirqXUsr0Sde2BTqez2Vsp6kR3796dAQMGYDKZOH/+PNu3b8fb25v4+Hjmz5/PY489Rl1dHc899xxFRUUMGjSIjIwMAOl/ValUKJVKqVittLSU1157jdWrV5OXl8fbb7/NCy+8IK3T/vjjj9x+++089thjTY5ZlJl88cUXm7y2ZcsWHnzwQcaMGcOOHTv46KOPpGyKJbKysprdpyAIXLx4UdqH5fuTk5NJSUnhzz//bPbcimb0M2fOpKyszC6ryI6GZStTSxKljVuZLhW7UFHT8j5agqdH51zDXYJI+8R5kHy2Ap2+7bG9s7OCwTeF0rNn+3ovxSIUayRrjZSrq6tbJGy9Xo/JZGqRiBs/P2rUKObPn8+qVavIzMzk66+/Zt++ffTt25ewsDBGjx5NXl4eTk5OHDhwgH79+rFnzx78/f0ZN24ceXl55Ofn26zWFfHWW2/Rv39/Bg8ejKOjI59++ilqtbqBN+LGjRuZNGkSLi4uvPLKK9x555389ttvREREsHbtWoxGI7fddhs9e/bk+PHjmEwmBEHA2dmZ2267jeHDh6NUKqmqqmLQoEF4e3tTVVVFYmKipKv6559/EhYWxm233Sbtd/bs2SxcuJANGzYQEBBAfn4+586dY/z48e36nu1BRzly+Pn54e3tLfnbVlRUUFxcjNFoxM/Pr4GQgb+/f7OFOKJEoLOzc4vCHZai6Y2Pu6CgwG6nIVuOItb2Z0u035rDTFBQEHFxcXh7e7Nu3TruuusuxowZA9Sv20dGRlJUVERwcDBqtVpK1aempvLNN98wbtw4JkyYQFxcHP/6179YsmQJGo2GL774guPHjzNp0iSUSiVvvvkm8fHxvPbaa5j/L3946NAh/Pz8JJtDczvzinPmzGHp0qVs3bqViIgIyWR+ypQp7druoEGD8PDw4NVXX2X+/Pk4OTmRmpqKVqtl4MCBbN++nfHjx+Pv74+XlxdAhxa5WWtlskWOYiuTtYlbQEBAk2pty+N0cMvlwx1ZrdIQaAxnZwVxPVvu2W8LugSRThoTzEefZrVrG3IZjBzSfs1acU2po/sAxcpGe0hXHLxnzZrFW2+9xbBhw3B1deW+++7jwoUL/Pbbb+j1eiZOnCgNHj179uTee++V1h63bNnC/v37iY+P5+DBg7i5uaFUKq0SuFarZf78+WRlZSGXy+nZsydffPEFUVFR0vHPmDGDMWPGkJ+fT9++fXF2dubYsWMEBwcza9YsPv74Y1577TWcnJyIiYnhueeeIywsjI8++ojXXntNSvXOmDGDO++8E71ez5EjRxg0aBByudxmSvPVV19lxYoVDBkyhNLSUkJDQ5k7d26bidSaI0dzs2e5XG6VXBq3cbi51XvHVldXN9CXzcnJobKyUoowAwMD6du3L4GBgZ0uIi6TyaRruSU95+achgoLC5ucK0EQcHJyklqGxIja0dFRahny8fEhIiKCgQMHttphxt/fnwcffJCVK1eye/du3nnnHZ599lmeeuopEhMTmTZtGpWVlU3+X09PT1QqFY888gibN28mLS2NxMREtmzZgpubG7///jvLli3D2dmZwsJCUlNTKSws5MCBA2i12iZ9wVqtVkodN4fmTObbA4VCwb59+3j22Wfp3r27VGewatUqAL799lueeeYZNBoNERERfPbZZy2OXSaTye7MiWVPtr2tTG3BP8YE8cH2y236rAgZkDi0c3TLu4wgw7I150k6UUpbjtbRQcY9t4cxb1ZUy2/+i0EQBKvp6srKSmkdUhAEyZjX3d0dFxeXJp+z/LxOp8NoNCKTyZDL5bz++utMnjyZ6OhooL7gwtnZGRcXF6klwt3dHQ8PD5RKZYup7o5WHWrJkaPxz45w5BBF2Rv3ZTo6Olq1/uoqPadiFbSt3sra2lo8PDwkBSFnZ2fpOxVbi6ylse2tXu4Ip6FRo0Yxc+ZMq6laW7BUqrIWTV8vSlW20JJKmK1WppZaua6GSpiIF169wE8nStpUdOToIOOuyaE89Uh0xx8YXSQiBZh1XwQ/nylvU2jv6CjnnttDO+Gorn/IZDKJoCwRHh5O3759MZlMpKSkkJSUJPX6ZWdn4+npKaUcRXuriooKae1CpVJJogQKhYI+ffowZcoUHBwcbEbWpaWldkXdcrm82fVk8W9xTdBsNmMymTCZTA3Ivq6uDo1Gg1arxcHBoYkAgKurK6GhoU0GjNa0vAiCQGVlZRPCrK6ulkTZAwICiI2NlaLM6x2ibKAthxGggfBAWFgYffv2xcfHp02i6bbs/UpKSsjKymrw3LVyGlIoFPj6+lq1NhS1ky3PV1ZWFmfPnu0U7WQRRqPR7rVwW7rVHdHKdLXw8H0RHE8uazMHTLu981ofu0xECvDT8RJWvpnWqrVSlVLOmyv60a/39aFqdD3AUjTdcoDMzc2lsrJSihCcnJzQ6/WSe4iTkxNVVVUolUri4uKIi4sjNDSU7t27S43nHXFc1dXVVFZWolarqa6uRq1WU1tbi1arRaPRUFdXh16vR6FQSO0dCoWiwQBuSbBGo1GqXLWHoG0ViEF9pXBlZSWVlZWUlZVRUlIiibI3tv66nl04GrfLWBKmNYcZSxLozLaYlmDLaciaML0tp6GFCxcyZcoUHnzwwavS6tOac+3p6dkgim9s8mD582o5KV1POPJzKS+9ntoqDlAq5bz5Ul8S4r067bi6FJECHDtdyvK1qZjNAnqD7UNXKuU4KGS8vrzvdaOxezUh+lfaSkUpFAqrBr+enp5kZWVx5MgRnJyccHd3Jz8/H5VKhYuLC2q1GkEQpN7VqKioJrq9lmivI4etn21x5BAj1pYKxHQ6HdXV1VRVVaFWq6Wo1mQy4eDggFwuRyaTSUQtVnK3laRtpbpbW8ltCWtRUmOHmcapyI6Ikq4n2CKh1kRs1gqqWktKtiJu8acoqajRaDCbzQ0kFcV1bDc3N+k+9ff3Jzg4GH9//y6zJNCROJFcxgtrL2A2tcABTnIcHGS89mLfTg+kuhyRApSW6dhzoIA9X+djMpgwGAVMZnCQg4ODDJWLI/dODWPy2GA8Pa5v78n2wFq7gPi7KAVoa93GWsFBXV0dGRkZpKWlkZmZibu7OxqNBh8fH0aPHi3JApaVlUnvyc/Px9nZWVoTUygUDYjTliPH9SKbV1dXZ9X6y9XVVUrLilGmj4+P1SjTZDLZXcXd2lar5taTRbIzGo3S53U6naRQJKazxQmSn58fvr6++Pv7S+0yf6Me9q4h1tTUoNfrcXFxkdpoxIwIIE2uxExObW0tQJvWgO1Zj/b09LSZOfgrmXg3RmmZjr3fFLB7fwFGoxmD0YzJBAoFODrIcVYpuHdqGJPGBuPl2fkc0CWnnZ7yOsaU/kjEiY9Jd+xGpdIXndwJpVmPn6aQGGU5PRIfw1UxGei6RNpcu0B5eTlGo7FBFGHZLiBaXbUEtVpNWlqa1NgdHBxMSEgIt956q5RGy8/PZ8eOHVJxkahB6+bmRlhYGDKZDL1eT0FBATU1Nfj7+xMREUGvXr2IjIy8LmbNZrOZ8vLyBhWzRUVFaLVaiSyDgoJISEggICCgVVXZCoUChULRKZXcarWa4uJiysrKpO9eTHeLkxRnZ2epiEusmIT/PwKvqqqipKSECxcuNGi1ak/UbIvguyo5KxQKSYjf1sNgMEg/6+rqgPp7VDQ0gPrvTHyPTqfDbDbj7Owska74EP+2/Cmu+4uQyWRSwV5oaNMaD9E0wHJsyM7OlvpvlUplE3IV/+7sivDOhpNSjrurA0onGXp9/blSyOu7M0xmAZWq/nUnp6uzvNLlItKypFMkT52LYDZh1tTZfJ/C1Rm5SsWQgx/jkRB7FY+wdTAajVYLOioqKqisrESlUtmMKlu6GWyVsZeWllJYWEhlZaVU3GM2m61W6lkWIFy5coWUlBTc3NwYNWoU3bs3NUyvq6sjKytLsomrq6uTUsDR0dF2ubO0F6Iou+WjtLRUku6zfHh7e1/TAUUQhGb9QE0mk82Io60OM61ttbL1XmtRtTWCbq4X2l7Sbst6c3N9sq1pZbK3T9YaWttn6ezs3OwxWP5s7pxYTsKtXVeNe3Ytry17J+HXCmf/qGTRynOYzEKzhUcqlRwnRzlvr0qgZ5Tt5aeOQJci0pLvjnLm7qcwa20TaGMoXF24+YfteA6I78Qjsw3L9Iy1qFKj0TRIzzSePTa+YduSgnJzc8PBwQG9Xo9arcZkMhESEkJUVBQ9evSQxMvtGazMZjPnzp3jyJEjuLi4kJiYSFSUbff5yspKiVQvX76Mq6urRKqRkZHtSj+ZTCar1l96vb5JWjYgIOCa2VpZOsw0/v6rqqpQqVRWowZvb+/rtoLSGixbpuxJdTdH0o0JWqFQSKQqEqu4Vi36gIppVYPBIEWEYqagcSuWu7s7np6euLu7N+jzvZZoj/JPa5dMRNMAa9ekWq3Gzc3Nqpeuj4/PNfXSTT5bzuKXz7eqctdZJWf9K/2J7SQxBuhCRFqTfoljg+/EVNt60WFHLw8Sz32DMrBzmnFFkW1bsz/A5kDp4eGB2Wxudxl74+dcXFwoKSkhLS2N9PR05HI5sbGxxMXFSenYtuCVV17h0qVLvPfee5w/f54jR46gUqlITEwkOjq62e2azWauXLnCpUuXuHTpEvn5+RKhR0dHExwcbJPMa2trm1h/lZaW4unp2STK9PT0vKrkIwrQ2/r+GzvMNL4WrvUAfq2WI3yoAAAgAElEQVQhTjZtTQ7Fqm2x8EvsUxbToiK5ipXbMplMIljL9ePmWq06OopuTUT3008/MXPmTPLy8uz+THNFfI1/ttZpCLBZqCjaDdqKZjtz7T0nX8Oj//oFbRs8Sd1dHdi+aWCnWKhBFyLSlIcXUvDZfgRT60+iXOVE1HOziXlxfpv3L5awW6uCbFzCLgobiP6Ver2+QXrH3jL91paxG41GMjMzJU1bDw8PYmNjiY2NJSAgwOrnRo0axW+//UZhYWGbIjaz2cyFCxekKt/ExER69OiBTCbj4YcfJiwsTFJZsXZOs7OzyczM5NKlS6jVaiIjI/H390elUlFTUyNFmSaTqQlhBgQEXDUSsuZIYnk9yOVym5OljnSY6SoQJxf2ZE40Gg1OTrbdbRo/7+Dg0MDrsz3H2LiS25JkS0tLefXVVzl+/LikajR27FimTp3aYoQN2CTZxiR9/vx5Xn75Zb799tsWSVus6G3Ld2GPUldtbfNOQy4uLlKvuE6naxJAaLVaKYq11jvbnvt11bo0Dv1URBsoACdHGdPvDGf2zO5t3n9z6BLFRobKaq7sPtgmEgUw1+nJ3riNnkvnIbdR1i8IgqRz2lgwu6KiQmqqdnd3l4o7fHx88PHxwWQySTPqnJwcLly4YLNx3NfXl4iIiA5rHK+rq+PPP/+UqmiDgoKIjY0lMTFR0ta0haysLI4ePYqnpydfffVVi5q71iCXy+nTpw/x8fFcuHCBQ4cO8dNPP5GYmNjs58T1K5lMJsmJmc1mMjIyuHz5MkajEQcHB8LDw7nlllvo3bt3s2bdHYHGHpmWhGnNIzM+Pr5Bb+VfHY2joOYGZDEKsnYP+Pn5NSHJa7EmJ5PJcHBwwMHBARcXlyavr1mzBpVKxcWLF/H09CQjI4Nz587ZJetnb6uVXq+XtHxzc3NbTI03brVqS8GYj48PQUFBTSrAxSjeVnYgNze3yXfv6OgofYfdunVDpVJJspBGo5Hc3FzS0tJQq9VUVVXh4uJiM5ptbhmjptbID8dK2kSiUG+htnt/AbPui8DBoeMntV2CSPM+2YusnTN6s9HElS8Poxo1sIHJs1gNWVVVhUKhwNnZuUEVntg7qNPpqKysxGAwXDUpM1tQq9Wkp6eTlpZGbm4uERERxMbGMnHixFYp53zyyScMGTKEwYMHs3XrVu655x5OnjzJ1KlTyc/Pl87B3r17efHFF/n9999Zvnw5Fy9eZPv27QDcc889HD16FK1WS0JCAu+88w5yuZyXXnqJzz77DIVCwVtvvcXNN9/M2rVrSU5OZt26dWRlZeHh4cH06dOZMGECUVFRfP7553h5eZGbm0tSUhJbtmwhNDSUCxcu8N133xEYGCgVLoWGhrZ68BUnS7Z6KxsXYAQEBBATEyM5zfwVeisbw2w222z4b/yz8bqc5T0QEBBwzVuZROzfv59ly5aRlZVF79692bx5M/369QPqyfH999+nuLiY8PBwXn75Ze644w6r20lOTmbVqlV4e9fbd4nZHRFpaWn885//5JdffsHf35+VK1cybdo0kpOTmTRpktQaBrB7925WrlxJSkoKWq2WuXPn8uWXX0pa1CqVSiLo1NRU5s6dS0pKCqGhoaxevZrbb78dgMTERO677z7uv/9+9Ho927Zt44MPPmDHjh2cOnWKxx9/nK1bt+Lh4UFqaioLFixg7dq1BAYGNkvolqYZzUXR/v7+hISENKjSFovXLKuV6+rq0Gq1DUhZXNfWarXo9Xop06TX69FqtQiCgKenp6QgZUm0h47WIG/ncGo2Cxw9VcYtw5o3c2gLusTIUJZ0GpOmfYasJnUt3769maL0X5HL5dKMSXTLCAgIaCAhZ40cG5enX02Ul5eTmppKWloaJSUl9OzZkxtuuIF77rmnzUU0n3zyCc888wyDBw9myJAhFBUVMWTIEFxdXfnhhx8YO3YsADt27GDGjBlWtzFhwgQ++ugjnJyc+H//7/8xffp0du/ezRNPPEFWVhaOjo7ccsst0ox+xYoV3HvvvSxZsoSUlBSmTp3K3LlziYmJwdnZmc8++4wDBw6wf/9+9Pp667Rhw4ZhMBjIycnh0qVLHDhwgMrKSiIjI6X1VR8fH2QymdQSYCsNb9kS4OXlRXR0tHTDurm5dZnCnuYgVmvbI4LRXKWoKGlo+fz1nqL+9ddfeeSRR9i3bx833XQT27dv5/bbbyc9PR2lUkl0dDRHjx4lKCiIL774gpkzZ3Lx4kWCg4ObbGvIkCEsXbqUiooKhg8fLtkVQv2a/dixY1mxYgXffPMNv//+O+PGjSM+Pp6BAwfi6+vLoUOHmDBhAgDbt2/ngQceAOr9SjMzM8nMzKS2tlZ6D9QXpk2ePJlHHnmE7777jmPHjjFlyhTOnDlDTEwMMpkMR0dHqfrd29sbpVJJz5496dmzJ6mpqbz11lt8/fXXzJs3jzVr1jBv3rwWz5stVytbkbFarbbr/UajEUdHR2ktW5yMim464v8jqjhVV1dTVlYmtdqJRP1rRix1uvYRoEZr4nxa9X8vkerLK1t+kx2I8PJl6B13tKmM/WpDEAQKCwtJS0sjLS2N2tpaYmJiSExMJDIyst3R0bFjx8jOzmbatGn4+fkRHR3Njh07WLBgAdOnT2fnzp2MHTsWtVrNgQMHeP311xt83mAwUFxcTP/+/Tl27BhFRUV4e3tz7tw5fvrpJyIjI/H19SUqKkqKWpOTk9HpdKxduxaFQsHo0aOZNGkSO3fuZPny5QBMmTJF8my0rA50dHQkOjqa6Ohohg8fTn5+PhkZGZw9e5bDhw9jNpuRy+WYTCbc3d0lnWBvb28iIiKk9NH1+n23BMtWppYqOkXR8cYkaOnIYdnWdL2TY2vw/vvv88QTTzB48GAAHnroIV555RVOnjxJYmJig+WLe++9l9WrV3P69Gmr6dr169ezbt06NmzYwOOPP05ERATr169nwoQJ7N+/n8jISGbNmgXAgAEDuOuuu/jPf/5DfHw8Dz30ENu3b2fChAmUl5dz8OBByUh8165dvPPOO9LS0Pz581mxYgVQ7xtcU1PD4sWLkcvl3HrrrU3ukeawfPlyhgwZwqBBgwgNDeXJJ5+067xda1crUUhE/ClGtDqd7v96nzvmvq2o0rf8pjagSxCpwrlj2haCIiOIi4vrkG11BsxmMzk5ORJ5ipW2//jHPwgLC+vQAW/r1q2MGzdOss+aMWMGW7duZcGCBcyYMYOhQ4eyadMmdu/eTb9+/airqyMpKYnz58+TlZXF2rVr61Muhw5x6tQpqqurpVTe6NGjJWJ2c3Ojd+/exMXFsW7dOlxdXXn//fdJTEwkNjaWiIgI8vPzpeMKDw+XRNNtrVcKgiCRZFRUFDfeeCNyuZzKykquXLlCTk4OWq1WEpcIDw+/LvviWmplsvxp2cpkSY6enp6EhIRcM0eO6w3Z2dls3bqV9evXS8+JYiFQn4V58803ycrKAuq1k21Z9Dk7O7NkyRKWLFlCdXU1a9as4Z577iEnJ4fs7GxOnTrVoA7BaDRKUefMmTOJi4ujpqaGXbt2MWLECCnqLSgoIDw8XPqcpSm9+Jrl99f4HmkOjo6OPPzww8yfP58333yzwzMslmu/rVHzaum94tpv45Syi4sLTk5OeFx0pqy6/cfvrOqccaBLEKlL93CQy2mTf87/Qa50wjny+nOAMRqNXLp0idTUVDIyMnB3dyc2Npbp06fbrLRtL7RaLbt27cJkMhEUFAQgrQEfPHhQWp949tln+e677+jXrx9nzpyRLL8EQWDx4sXs2LGD1NRUjh07RmRkJFVVVZJbDNBEpWXgwIHU1dWRmJjIkSNHOHz4MKdPn6Z79+4cOHCAS5cuceXKFV555RVcXFwaVPzFxsZKf7ekdWo0GsnLyyMzM5NDhw5RWlpKRESEtL7q7+/faSlcUd/VnmpVg8FgdY1ddFRpTI5/hbRzZyM8PJylS5eydOnSJq9lZ2cze/Zsvv/+e26++WYUCgX9+/fHnsYFDw8PlixZwurVq7l8+TLh4eEkJiZy6NAhq+8PDQ3l5ptvZu/evWzbto25c+dKrwUHB5Obm0t8fH1ve05OjvRaSEgIubm5UoZFfL1Xr15AvdSgRqOR3l9YWNhgv/n5+bz00ks89NBDLFiwgB9++EFSHmuJ7OxJ1Yo+s81VFlv+LhJhS6pYLVUj55X/SXZBQXsoAEcHGUEBndMD2yWINHzW3eRv/7Jd66RmsxnnsUM78KjajsaVtoGBgcTGxjJy5EipsKEzsXfvXuRyOXv27JHk40pKSvjwww954403ePLJJ5k4cSK//vorubm5nDhxQopcjx07hlqtRqFQoFarUSqV+Pr6otFoWLJkibQPMWo8d+4cv//+O+Xl5ZSUlGA2m3nuuecYNGgQxcXFHD9+nAEDBmAwGPD19aV79+4sXry4XalrsT0iMjKS0aNHo9FouHz5MpmZmZw8eRKz2SytrUZFRbVYoNXYcaS51KrYytR4vdHHx4du3bo1WIPvSJuv/0ZYSvVB/fc+e/Zs7rjjDsaMGcOgQYPQaDT89NNPjBw5ktraWmQyGf7+9WtkW7Zs4dy5cza3v3LlSm677TYSEhIwm828/fbbeHl5ERMTQ69evVi8eDHbtm3jvvvuA5BUv8Ss14MPPsiaNWvIzs5uUNA0bdo0Vq9ezaBBg6iqquLtt99GEASKi4sJDQ1FqVSycOFC7r//fpKTk/nyyy/ZtGkThw8fxs3Njffeew8fHx+KiopYt24d7u7ubNiwAZ1Ox+bNm4mNjf3/2Dvv8CjKtY3/tqRX0nsCCRAIhJCEEiAg0hQBORKlBziIwhFpKkpTQY4HRIqKwhEB6YI0wYaAGBJ6Qgm9JCGBhPReNtnN7vdHvpmz6ZuGRLmvK9dmd2dnZmdm33ue532e+8bT05PTp08zatQoRowYUWtFr4mJiU4SkPVpv2kMvNDfgZ+OJdfLQk2ARAID+tg14l79D82CSC0DO2Lo6kjB7dh6r0PSsTU7fv0R+0sXCAwMpG3bto813Zefny9W2iYkJIiVts8//3yN7ikNhUKhIDU1tZzG7PLly/Hz8yM1NRV7e3vatm2Lvb09Xl5ezJo1ixdeeIHOnTvj4eHB888/L5JoRYwdO5bDhw/j5OSEmZkZ48aNA8qKk4TCgqioKIKCgvDz82Pt2rXs2LGDxYsXs2rVKpydndm1axcdO3YkLCyMR48eYWtr2+hpSWNjY3x8fPDx8UGj0ZCZmSnOr/74449i9Cv0KAqi7wI5Cq1MFcnRxsYGDw+PRmtleoq6YfDgweWeL1iwgKVLl7JhwwamT5/O3bt3MTIyolevXvTu3Zv27dvz1ltvERQUhFQqJTQ0VJyPrwoSiYRJkyaRkJCAXC7Hx8eHXbt2icIoGzdu5KOPPmLmzJmo1Wo8PT2ZNm0aDx8+pKSkBLlcTkxMDAEBAezevVuM7iwtLcnLy8PZ2RkzMzO6dOnCw4cP2bt3L3p6erz++uts27aN9evXY2VlxZw5c3BxcUFPT49//vOffPjhh7z++uti5kogzI0bN2JoaMjRo0cxMjJi8uTJdOrUicWLFxMcHNzUp6NJ0dbLDEc7Q+4/KKx94Wrg62OBvW3TRKTNRpDh4baDXJv+Yb2iUpmxEYEH12EZ3IWbN28SFRVFRkYGnTt3xt/fv9Z+y/oiMzNTnO9MTU3Fy8sLb29vWrdu3ehydYIoe0W5vMLCwnJSecKfrkUFCoWi2rnKig4zFZuv61K4oNFoiImJISwsDIVCQe/evfHx8dGZVDUaDSUlJTp7VWo0GrHBXCaToVQqxR5JGxsbXF1d8fLyEnvjnpLjkw9tiUJdU5m1pTaF1+Ryeb36N4cNG8aSJUvo27dvlcv/Xeey64MjJ1JY8eUdFPWISg0NpCxb1IHATk2T8Ws2RKpRq4kaOYO0I+F109o1NsL11VfwWTm/3OtpaWlERkZy9epVXFxcCAwMxMvLq0EXtkajISUlRWxTKSgooE2bNrRr146WLVs2Wh9iUVFRJcJMS0sTWxa03UxqE2XXxWGmIkEKpFlf0fSaoNFoiI2NJSwsjKKiIrp3746bm1uVKjkVCVMikejkJymksao6LoLovqC2VFxcXE50X3BWeYr6Q7uSU1ey06VwRRDN11VRSJdUZkNE8/ft28e7777LnTt3nhJmI0Cj0bBo2Q3ORGbWydjb0EDKkIEOzHqtde0L1xPNhkgBSotLuDhyBhknzuoUmcqMjXAeM5QOXy6uVtBBqVRy7do1oqKiyM/Px9/fn86dO+s8YAqKJELkCf9r3K5YfVdXqNVqMjIyKll/KRSKKuXyqotydXWYqUrWq7HtljQajejTWJOusPCn0WiQSCRYWlpiZ2dXo4RiU7S2ZGVlidrAcXFxmJqaiqTq7u7ebNtpdIHQW9jYVZq1Nf/XV+P2SbJxe+aZZ7hx4wbbtm1j0KBBf/bu/GWgVKpZtOwGkVeydIpMDQ2k9O9tx9zpbZA2VNGhBjQrIoWyyDR29SZiP/2GUkUJpfkF5ReQSJCZGKFnaU6bD2bgMuElnX9cjx49IjIykhs3btCyZUsCAwOrtAoTKm0FQXih0tbb2xt7e/t6/ZgFUfaK1l/m5uaVSNPS0rLcNnRxmNEWTdeOKi0tLRtMBsL2dWnlEAynddEVFlxr4uLiCAsLIz8/n969e9OxY8c/5Q5fEN0XotWkpCScnZ3FiLUm0f2mRH1bEmp7T1uOriHepRVfE+TonuIp6gO1WsPuHx6yY+8DSpRqCotKKy1jZCjF1ETOP8d4MGSAQ5Nfb82OSAVkZio4uvpn8rbuwCQ7Gb3SYpRyQ/Js3LB7fQL9/9UPU5P6pVIVCgVXr14lMjISlUpFQEAA7du35+HDh9y6dYt79+5hZ2cnkqeVlZXO6y4tLSU9Pb0SaapUqiqtvwSSq81hRiKRVOtbaW5uXucBXltzs7aUqiB0rUtK1cTEpF7C1RqNhvv37xMWFkZeXh7BwcH4+vr+qSmzkpKSct6rBQUFtGzZUoxYtefeKwqkNySVWfE5UOdUpi4E+GdVaD7FU+iC9Kxi1m2K5XhEGirV/2hMX1/KC/0dmDLOA3Ozx2Nq0eyItEhRyuqNCZyKykFCmRhxRRjol0kAPtfHmqljXZDL6zcY5OXlcfbsWa5evSoW1nTs2JHu3bvXmvrVaDQUFBRUSstmZGRgaWlZKco0NzdHqVTW6jBTncOILqLparW6kiB1deSo7cihi8nw49ShFQg1JydHJNTGmqsVpCPrQ3YFBQXk5OSIJs1AOQFvbU/NxiI7gfCe4in+LihSlLJ87R1Onk5DIpFUOV9qaCBFrYHB/eyZOcULPb2mveFuVkSam6di9kd3SEkvqZJAK8JAX4KXhzHL3vXCQF+3A5mVlSXOd6akpODp6Ym3tzcuLi7cunWLyMhI5HI5AQEB+Pr6YmhoiEqlIi0trVKUqdFoKs1jGhkZiS4zVTnMVBdVWlpaVklW2mbAtaVWi4qKqnTkqO7xSR6ghSrf8PBwsrOz6dy5My1btqzVf1KXIheZTNbgQhW5XE5ubi5JSUk8ePCApKQkHBwcxGjV2dn5aQHKUzxFHZGbp+Rf714mKblIRw6Q0sbTlNVLfDFsIlUjaEZEWlKiZubiO8QnFqGqnBKvFvp6Eny9TfnobU9kVUw2C43QQqVtXl4ebdu2xdvbm1atWpUjrw8++IBbt24xffp0rl27Rnp6Ovr6+qKYgL29Pba2tiIJKRQKUUBd+NPT06s2qhRE0wVHjtpaObQdOXTxchRaPbQhkUi4e/cuXl5e9T43NUG7JWHKlCnY29szZ86cBrckaEd4UqmU4uJi1Go1lpaWWFtbiyLZdY3u6luhWRsE0X1hfjUnJwcPDw9u3LjBkSNHOHPmzNM06lPUG9rev3/Uwyi8OaC4RM20dy4Rm1BQLpVbG/T1pfj5WLDig47IZE3zG2sWggwAPxxL42Gyok4kCmWp32t3Cjh1IZve3cp6iNRqNQ8fPuTmzZvcvn0btVqNt7c3b731ljiYCX6KgkdfaGgosbGxZGRkiGpETk5OpKWlkZqaSnZ2Nnl5eVy/fh0LC4tyJOnm5oaFhYVIugIJRkZGsmHDBq5fv45Go8Hc3Jz27dvTrVs3rKysqowUHRwcypFkY4mOV9WS8NJLL3Hx4kVkMhkymQwvLy9mz56Nq6urzlWagq+ovr4+sbGxZGdnc/To0WoJTZDIq40AqyK8hIQEwsLCSElJITg4GD8/v3I3Dt9++y3ffPMNERER1R6HZ555hnHjxvHqq6+Kr9VlYKpoMydAW3QfygQ6YmNjOXXqFCkpKXz++editNqyZcu/hb9pYyAiIoK5c+dy/fp1ZDIZ7dq1Y82aNXTp0kWn892U2LlzJ6tWreLWrVuYmZnh5+fHggUL6NWr15+yP80dB35OJD6xsE4kCmVBWPTNHP44nUa/4L+xspFarWHfz6kUl9QveFYUq/nucDKOVulipa2JiQne3t6EhIRgZGREamoqv/zyi5iWXbRoEWPGjMHf3x+5XI5GoyExMRGNRsOjR48oLi7GwsICBwcHPDw8yM3N5dGjRyiVSrFHMSMjg/j4eAoKCio5cjx8+FDUxFy2bBlubm5kZ2ezd+9e+vfvz7PPPlvpe6hUKqRSqUhUCoVCtDOqb3QH8NVXX2FpaVmJsLKyshg/fjwDBw5EJpOxd+9eFi9ezMaNGzEzM9Mp2tNuSbh27RouLi5Mnjy5/hdDDXBzc2P8+PGin2l4eDi9evXCz8/vifMSNTU1xdfXF39/fy5evMjo0aOJiYnh0qVL/PDDD9ja2orVwE+q6P6fjdzcXIYMGcK6det45ZVXKCkpITw8vNHFTuqDVatWsWzZMtavX8+gQYPQ19fn119/5YcffqgzkQo3o39nqNUavjvwsN4SgQqFmu17H/y9ifTi9TyKGqCxCBCbUMChn2/RrrUVXbt2JTc3l7t373LmzBnRQkjwsywsLEQikYhVi4I3niB7d+DAAa5cuYKFhQVjx47F29tbFBbfsWMH165dQy6X069fP15//XVatWqFgYFBORJbuXIlQ4YMEQ1679y5g1KpJCAggJSUFLZs2cIff/zByZMncXFx4cKFC3Tt2hU/Pz8OHz5McnIyEomE9u3bM2HCBLGN5Y033mDo0KGcOHGC1NRUunfvzpIlSzAzM0NPT49vv/2WzZs3I5FIWLhwIQBTpkzB29u7Umpx165ddO/enVdeeQWAdu3a4efnxzPPPAOUTydB5cjt0qVLTJ48mbt37zJ48OBy6xdI+ty5c6hUKnr27Mn69etxcXEByiLDoKAgjh8/zu3bt3nmmWfYvHmzWCF99uxZ5syZw40bN3B3d+ezzz4T9+v48eMsWbKE1NRUjI2NGThwIMOGDWPq1KmiMbtcLic7u372fElJSUydOpWIiAisrKx49913mTJlCr/++isff/wxGo2GgwcP4unpyZUrV8jJyWHOnDn8/PPPSKVSJk2axOLFi8uRo52dHXZ2dgQFBaFSqXjw4AGxsbH89ttvZGZm4ubmJkasNjY2T9PAwJ07dwAYPXo0UObWMnDgQKDMHLuq811cXMyCBQvYs2cPxcXF/OMf/2D16tUYGRnRrl07VqxYwZAhQ4AyAnNwcOC3337D39+/xmtOGzk5Obz//vts3ryZl156SXx96NChDB06FIDz588zc+ZMbt68iZGRESNGjGDVqlVilb5EImHt2rWsWbMGlUpFXFxctUbifwdERWdTUFjHdGQFJDwsJDa+gFbuNWtr1wfNotrh+KlMihQNI1K1RsLNWBkXL14kLCyMixcvkp6eLqYJS0r+Jy8npHS1U4eCu/uVK1d49tln2bx5M927d+fQoUNi9PnBBx9gYmLC7NmzCQ0N5fjx42zbto3t27eza9cujh49SmRkJJcvXyY6OprAwECKi4vR09MTHT+8vb3x9/end+/e+Pr6Eh8fzwsvvEBycjKHDx/mjTfeYP369WRmZhIXF4ehoSF3795l7NixvPzyyxgbG3P16lUiIiJISEggMTGR6OhoOnbsyP3799m8eTPHjx8nJiaG06dPA+jUyF5SUsKOHTvo3r27Tse7pKSE4cOHM378eDIzM3n55ZfZt2/f/86HWs2kSZOIj48nISEBIyMjpk+fXm4dW7duZdOmTSQlJSGXy5kxYwZQ5nDxwgsvsHDhQjIzM/n0008ZMWIEaWlpFBQUMGPGDH755Rfy8/O5cuUK//znP1GpVPzjH/+gQ4cOZGdn15tEoWzgdnFxISkpib179zJ//nyOHz/Oc889x/z58xk5cqS4bSjzxJTL5dy7d49Lly7x22+/8c0331S7frlcTsuWLenXrx+vvfYaM2bMwNfXl9TUVHbs2MHq1av54YcfuHr1KgUFBdWu56+ONm3aIJPJmDBhAr/88gtZWVnie+3atWP9+vUEBQWRn58vnm9Baejy5cvcu3ePxMRE0QtU8OEVcOTIEWxsbPD396/xmquIM2fOoFAoygnVV4RMJmP16tWkp6dz5swZjh8/LvqVCjh48CDnzp3jxo0bopH4mDFjSE1NZdeuXfzrX//i+vXrDTqGzQVHw1IoUjSMSJUqNSciKp+vxkCziEgzspSNsBYpJaoy7VepVCrOCQoO7vr6+hgZGWFgYICBgQFSqRRzc3NsbGzE983NzenUqRMjR45ET08PS0tLXnrpJYYMGcLVq1cBOHTokNiSYG9vz507d5g+fTpRUVFcvnwZQ0NDnJ2dUavVvPjii3h7ewMwd+5cvv76a5RKJfPmzWPhwoW0aNECJycn5s6dK34LMzMzWrcuk7qytbVlzpw5LF68uNw3nTFjBk5OTkDZXfDly5eBMkPhSZMm0aFDB6BsPk974KgKM2bM4O2336awsBAjIyP279+v09E+e/YsSqWSWbNmIZFICAkJYe0q9b0AACAASURBVNWqVeL71tbWjBgxQny+YMEC+vbtW24d48ePF/f1o48+ws/Pjy1btrB9+3YGDx4sipYPGDCAwMBAfv75Z0JCQpBKpVy7dg03NzccHR1FH8iUlBQuXrzI559/Ts+ePQkICKgyZSZ8ZwEqlUrsCX3w4AERERH8+OOPGBoa4ufnx6uvvsq2bdvo169fpXWlpKTwyy+/kJ2djZGRkXij9fXXX/P666/rdCyNjY3p0KEDHTp0QKPRkJGRQWxsLNevX+enn34SfVk9PT1xc3P726QBzc3NiYiIYPny5UyZMoXk5GQGDx7Mhg0bsLe3r7S8RqNhw4YNREdHi5mN+fPnM2bMGP7zn/8wZswYOnfuTGFhIcbGxuzcuZMxY8YA1HjNTZgwodx2MjIysLGxqfE8BAQEiP97eHjw+uuvExYWxqxZs8TX582bJ+7n7t27azQS/6sjLaO4wetQqyE9s+HrqQrN4hfXEA86bbRp046pY4PLzeNVN/f0wQcf0Lt3b/r37y++Fh4ejlKppHPnzkDZPFdxcTF2dnbk5OTw6NEjcdCGMvGF4OBgrKysGDBgAH379uXGjRucPn0aiUTCTz/9hKOjIxYWFnzyySd88sknjBs3DpVKJa5D2wAYIDU1lRkzZhAeHk5eXh5qtbqS9ZrgMQplg7BgapyUlFTuB6xtKFwdPv/8c1599VXUajWnTp1i2LBhhIWF4evrW+PnBNUf7UhXe3uFhYXMnj2bX3/9VYwk8vLyKC0tFc9JRfNjpVJJeno68fHxfP/99xw+fFh8X6lU0rdvX0xMTNi9ezeffvopkydPpmfPnqxcuRJvb29atGiBra0to0aN4uTJk5w6dYoePXoQEBBQTiRC+M4ChJS18L2srKzK9RG7u7sTGRlZ5XGIj49HqVSWuy7UanWl86orJBIJNjY22NjY0LVrV0pLS0lMTCQmJkZM57u6uorE2lSetk8K2rVrx7fffgvArVu3GDduHLNmzaryBjEtLY3CwsJyvwFBKAPAy8uLdu3acfjwYYYOHcqhQ4e4dOkSQI3XXEVYW1uTnp5e49zmnTt3mDNnDpGRkRQWForCL9rQvkZqMxJ/UiBU6ddXYUuhUKBQKCguLi5XsHjvXgeg4YLzqtKmaVJpFkRqYd44u+nkaF6tJVhD4erqSsuWLbl79261y8jlcnx9ffH19WXjxo388ccfqFQq3NzcCAwMFCs6tVFxEJw3bx4SiYTo6Gisra05ePBgpZRodRAMhQVoGwrXBqlUSnBwMF5eXqLZd00mw46OjmJxlvAdEhISxO+4cuVKbt++zblz53BwcODy5ct07ty5nMlyxX3V09MTnVnGjx/Phg0bqtzXQYMGMWjQIIqKili4cCFTpkwhPDxc3A8nJydGjRrFo0ePCAsLEwk1MDCw1uPg5OREZmamKNAh7Juzc5lpfMXz5erqioGBAenp6U0SKcpkMtzc3HBzc6Nv374oFArRezUyMpKSkpJy3qt/ZdF9b29vJk6cyH//+1+g8rmwsbHByMiI69evi+erIoT0rlqtpn379mJbWG3XnDaCgoIwNDTk4MGDhISEVLnMtGnT6Ny5M7t27cLMzIw1a9awd+/ecsto739tRuJ1heCWVBfREV3b0uRyeSVJSG2VLI1Gg1qtprS0FJVKJQqgFBcXo9FoMDY2xtjYGAsLC0xMTDA3N+dRngFZNxpOglaWTaON3SyINMjfgsjo3AbNkxoZSAno2HSDSNeuXTE3N2f58uXMmDEDfX19bt68SVFREV26dKm0/OrVqxk0aBDdu3fH1taWP/74gx07dnDlyhXc3Nyq3U5eXh4WFhZYWlqSmJjIihUrdN7HV155hUmTJhEaGoqHh0ellHBtOHPmDDdu3BBTSX5+fqxcuZKFCxdSUlLCmjVrxGWDgoKQy+V8/vnnvPHGGxw6dIjz58+Ld/B5eXkYGRlhaWlJZmZmlfuyfft2cV/ff/99QkJCkMlkjBs3ji5dunDkyBH69++PUqnk7NmzeHl5oaenx7lz5+jXrx9GRkaYmpqKEa69vb3oFamvr4+joyOjRo0iOTmZsLAwTp8+TW5urhihVAVXV1d69OjBvHnz+PTTT7lz5w4bN24U213s7e05evQoarUaqVSKo6MjAwcO5K233uKjjz7C1NSUuLg4Hj58SJ8+fep0/HWBoaEh7dq1E82ls7KyiImJ4fbt2/z666+Ym5uL1cDNXXT/1q1b/PTTT4wcORIXFxcePHggFshB5fMtlUqZMmUKs2fPZu3atdjZ2ZGYmMi1a9dEYflRo0axYMECMjMzxbQuUOM1JxTICbCwsGDJkiW88cYbyOVyBg4ciJ6eHseOHePEiRN88skn5OXlYW5ujqmpKbdu3WLdunWi4bg2hCmoPn36MHfuXL744gsGDx5MSUkJ0dHR6Onp4eLiQmpqKiqViiNHjhAVFUVRURHfffddtWSp3Zami4ayqalppUp8bRIUosmioiJRICY/P5/MzMwqXZmqexQ6HoT+fkF+U6IsQi73RKWqf/W6kaGUrp2bxkatWRBp7y6WfPHtg9oXrAGmpjJ8vZvOQFsmk3H48GHeeustWrZsSXFxMW3bthUrWiuiV69e/P777yxevFgkQwcHBzp27IhcLuf777+vspDhgw8+IDQ0FAsLC7y8vBg/fjyrV6/WaR+ff/55Zs2axbPPPotUKmXp0qXs2LGjxs9Mnz5dnLdxcHBg6dKlPP/880DZHOaxY8fw8PAQ529WrlwJlGm/7t+/nylTprBw4UIGDx5croJx1qxZjBkzBhsbG5ycnHjrrbc4ePBguW2PHz+eiRMncuvWLfr06cO6deuAMjL74YcfmDt3LqNHj0Ymk9G1a1fWrVuHWq1m5cqVjB8/HolEgp+fn1jE8eyzz+Lj44ODgwNSqZT09HTxe40cOZLk5GQ2bdrE8ePH6dixI4GBgVUSza5du5g6dSpOTk60aNGCxYsXM2DAAABefvlltm/fjrW1NS1btuTixYts3bqV9957j/bt25OXl0erVq149913dTpnDUWLFi0IDAwkMDAQtVpNUlISsbGxREREsHfvXpycnMSI1dHRsVmlgc3MzDh37hyrVq0iOzsbS0tLhgwZIv6eqjrfy5cvZ8mSJXTv3p309HScnZ2ZNm2aSKSOjo4EBQURFhbGnj17xG3VdM1B2TSONmGNGjUKmUwmttEZGxvTtm1bxo0bx++//87LL7/MZ599xn/+8x/c3d1p164d169f56uvvqq2LW3ChAl8/fXXzJ9fZgnp7u7O5MmTMTAwQKVSIZFIMDMzw9raGrlcjp+fX7WiIxULDCu6MmmLwOTm5lYShpHJZFWKwAjCMhXJURfk5+dz69Yt0W1JT0+PVq1aERAQwNBhbrz86iVUdRUS0IKpiRx/36bxnm42ykbrtz/k0LG0OgsyQJlU4ORXnBg+qGl6iBobCoWC6OhooqKiKC0tJSAggE6dOmFsbPxn79pjQ1XCCI8LKSkpnDx5kvj4eIKCgujSpUuzjtyqQ3FxMfHx8aLaUkFBQTnvVQsLiz97Fxsd2sYBuqQydREdKSkp75TTmAYCDXHKqc6VqSqFNMGVqTY/X+GxPsYTFaFUKstdf7m5uaLpQ6tWrSqZgazdGMPeHxPrLMgAYGAg5fXxLXnlRZfaF64Hmg2RZuUoeW3eTXLzSqnLDkulYG+jz/p/e2PUhFqLTQGNRsODBw+Iiori9u3btG3blsDAQFxcXJpV5FAf/JlEKiA1NZWTJ09y//59unfvTteuXf+ShCogJydHjAZiY2MxMjISSdXDw+OxCR3U5pSji4FAdcsCOguJ1MVA4HE55Wg0GgoLC2uUDtV+LqiF6WpZ2NT7npycLBJnYmJiOf1pJyenGlXaMrNKCH0zkpxcJXVhLZkU7G0N+faLQIyNmoYDmg2RAsQ9KGLOR3coVKh1OpAyKZibyVm7pC22Vs17ACwsLOTy5ctERUUhl8sJDAzE19f3iVBxaQo8CUQqIDU1lfDwcOLi4ujWrRtdu3b9yx53AboMesI8ma6GALpGdyUlJUilUp0IrK5eqE+iQpS2K1NtloWCdGltutrC6392K1RVN2dC4Vt9bs5i4wuYNvcShUWlOnGAXCbBzEzON6v8sbc1rOe3qB3NikgBElOKmbf8Hjl5qmqLjySSMtV/Z3sDPp7rSQuLx+NJ9zig0WiIi4sjKiqK2NhY2rdvT2BgYLn2iqdoGqSlpREeHk5MTAzdunWjW7duzYJQtY0DGtKWUFBQgEKhEFOZgEh4BgYGOqcyayO7mtrSmguqcmWqjhy1XZl0sSx8ko9NxemCwsLCch69jTFdkPioiNnvR5OVraxWpEEiKUvnujgasXKxL9YtmjaQanZECmW6i5eu57HjYDI37hUgATSasoOnAbp0NGf0iw608zL+S6dA8/LyuHTpEhcvXsTExITAwEA6dOjQKPMXT1E90tPTOXnyJDExMXTt2pVu3bphaNjwu12hJaGh0V1Vz4UCk8aYt9PX16ekpIQHDx4QFxdHbGwscrlcjDT+qqL7paWlOlsWKhSKKl2ZqnqsypWpuUC7gC0mJobk5GScnZ3Fec6mKmBTqzVERWez5bt4rt7M+f/B//9JAOjq14LQkW508DZ/LBzQLIn0yvVstu5J4OLVbEBCqRr4/5JpfVnZgNSzqzWhr7jTulXTVeo+KVCr1dy7d4+oqCgePHhAx44dCQgIwM6ueRRXNTeo1WpKSkpITU3l9OnTxMfH4+3tjZeXFxKJRKcevKqel5aW1qkloS7RXlMOJtqtCrGxsSQkJIii+56enri4uDyxRFFaWqqTZWF+fj7FxcViS5UuloV/Vb9ZoaUqNjaWuLg4saVKUNZ6HHUE0Tdy2LInnovR2aDRoPyfhg36emXXeo+u1oS+7EYbz6bvnW5WRKrRaNi+9wHf7o6v1QVAIinzoXt7Wmue7+dQ47J/JWRnZ3Px4kUuXbqElZUVgYGBtGvX7k+fK/kzULElQVdCq63pXK1WlyMsqVRKYWEhCoUCKysrHBwcMDQ01DmVWV1LQnOFILovDLaZmZm4u7uLg621tXWTfk+VSlVl8U1VqVXBlam2alXBlOKvSo41QVvkIzY2lpKSEjH78LhFPjQaDTv2PeDb7+JR6MgBb01tzeD+TcsBzYpIt+yJZ9uehFoPoDYMDKS886/WPPfs34dMoYxEbt++TVRUFMnJyfj5+REQEFCppLy+mDp1Ks7OzixatKhB6xEqNOuqsKJLtPe4WxIyMzMJDw/n9u3bdOnShe7du/8lU5x1RUFBQbmBGCintqRLW5dKpdIppVpQUEBJSUmVkWJVqVVj47/29E99oC07GRsb+0TJTm77PoEtu2snUW0Y6Et5+19NG1A1GyKNupLF3I+u1cuPzsBAyjer/Gnp1vj2Oc0BGRkZREVFceXKFRwdHQkICBCdM6rDoEGD6Natm+iMIRDe/v37efPNN7l06VKVZuB1Jbu6tCTUtXDlcbUkVIQ2oQYGBhIUFPSUUP8fguh+TEwMMTExxMfHY2Zmhq2trWgFWFXvo0qlKkeGs2bNIicnR7yGJRIJo0aN4osvvsDIyOiJIcfs7GzRQq+goABHR0cmT54sCnJIJBLu3r0rShH+GdA2QoiNjeX+/fu0aNFCvNF5UowQLl7NZu7iq3UiUQEGBlI2rPRvEgs1aEZE+ua8y1y6llOvz8qkMOhZe+bP9G7kvXryoNFoyrUkaBNWUVER9+/fF5vvHRwcRG/LioUrp06d4sCBA8ybN09cn1QqZffu3djY2BASEtJoVZpP6vxZQ5GVlUV4eDi3bt0iICCAoKCgv7yoRklJiU4CAPn5+ZSWlmJiYoKenp6orFNcXEyLFi1wdHSkZcuWuLi4YGpqKvoFC/Dw8OCbb74pZyrxJGLSpEkUFBTw3//+FwsLC+7cucO1a9dEDd4/i0gLCwvLtaVoNBox4mzZsiUmJk9e0DFzwRWioutnfyiTwoBn7Fk4u2k4oFkQ6aMUBWOnnadEWf9dNdCXcmhbECbGf/6dFZRvSWisVKbwKJPJaiUwwUklLS0NKysrWrVqhbOzs9jGUFpaip+fH7t376Zv377o6emRm5uLo6Mj586dY/Xq1eVMvX/44Qc++OADYmNjsbW15csvv+S5557TydT6r47s7GzCw8O5efMm/v7+9OjRo9kQqlBJrEtKNT8/H41Go1NK1dTUVPT91YZwsyekFZVKpTgXpz0fVxORfvvtt2zYsIGuXbuKZvDbt2/nzp07LFq0iOLiYlasWCHan02cOBFjY2Pi4uIIDw+nU6dO7Nu3j2XLlrFlyxbs7e3ZtWuX6Pq0bNkyNmzYIKY8//3vf1frPdqhQweWLl3K8OHDK73Xu3dvwsPDxfTyxo0bGTlyJBs2bGD58uVkZmbSq1cv1q9fL9oiSiQS1q1bx8qVK0lPT2fMmDGsXbtWPI6bNm1ixYoVJCcn07VrV77++mvc3d3LmcXHxMQ89nnrhiI5VcGYqQ3jAH19KYe2BmFq0vgc8GSwSi344dck1A2ke4kEjp1M5cXnnOr0uYrpy8ZqOq9rS4KgWalL1WZdCiJKSkq4du0akZGR3Lp1C39/fzp37oypqSkjR45k3759orbunj178Pb2plOnTuXWcf78eUJDQ9m7dy/9+vXj0aNH5OXlAWWm1vb29ty7d4+CggKGDBmCq6urzl6cfwVYWloydOhQgoODiYiIYO3atfj7+xMUFPSn3PkL5FhVIU5V1aoSiaTKQhx7e/tK5Kivr9+gAdnIyKic6H5mZiaxsbGVRPcFwfTqcO7cOV599VUyMjL44IMPGDVqFEOHDuXevXuEhYUxYsQIRowYgalpWVX/nj17OHLkCD4+PgwePJigoCAWL17MypUr+eCDD5gzZw4nTpwAwNPTk/DwcBwcHPj+++8ZN24c9+7dq7KXu3v37ixYsICsrCx69eolegkDnDx5EolEwpUrV8SI9Pfff2fevHn89ttv+Pj48Pbbb4u2fwJ+/PFHLly4QG5ubpkO7dChPPfccxw8eJCPP/6Yw4cP4+XlxaJFixgyZAjvvfdeuUrqQYMGPdGV1FXh0JFHdVIzqgrS/+eA4c/XjQN0QbOISN9ZfJUzkZkNXk/vrjIG90VnsispKbMFasx5u8fVklAfJCUlERkZyc2bN/H09EStVouGyUZGRvTs2ZOQkBBmz57NxIkTxYj09ddfx9jYuJJ4fkpKCm5ubqKpNZQJvn/99dfioPR3RE5ODhEREVy/fp3OnTvTo0ePBhOqRqOhuLi4ypRqValVqVRaa5WqNjk+CRB6FmNiYhgxYgR5eXnI5XKkUilSqZQVK1bw2muv8e233/Lvf/9btDS8evUqvr6+JCcni4bf1tbWHD9+HD8/PyZOnIienp5okfbFF1/w1VdfcfPmTfHzwcHBZGdXnVb08/Nj8eLFvPjii5XeKyoqYvXq1ezbt4/o6Gjc3d354osvxJvTiqndyZMnY21tzSeffAKUCbm3aNGCu3fv4uHhgUQiITw8nF69egFljk7+/v689957DBw4kB49euDn50dMTAxSqZT33nuPn376iZ49ezbrefp3P7rGqfMZDV7PiCFOzH69de0L1hHNIiItKKz+zrMuyMxWUFSkQV9fv1x7wt+hJUEXODk5MWzYMAYOHEh0dDSRkZHo6+uzYsUKQkJCuHDhAvv376/0uQcPHjB48OBKrze2qfVfBRYWFrzwwgv06tVLjFAFQhUiJPifI0dVUWNV5FiVI4epqSlOTk71duR4kiCVSnFxcRHnTbdu3Yqnp6eYBs7JyWHfvn3Ex8eX8x0WCEQgUeG1/Px88XnF92paduvWraxatYr79+8DZWQnOAlVhJGREfPnz2f+/Pnk5uaybNkyXn75ZRISEqqsoE9KSsLf3198bmpqirW1NYmJiXh4eABlbkVQJvpeWlpKdHQ069ev58qVK5w8eVLMSkkkEqRSKcbGxk8UiQo6yrpMZxUXF5dVfd83AhquIpaX3zhcUhHNgkgba17TxtoYHx8PbG1tn6r/1ABDQ0O6du1Kly5diImJ4eDBg5w8eRJfX19KSkqomMRwdXUlJiam0nqa2tS6OUJw5BDIz83NDRMTE+7cucP58+cxMzMrV7mqp6dXJTkKZKL9+t/tmtbX16dt27a0bdsWKIv0Y2Ji+P3330lOTubLL7+kVatWjXrtxcfHM2XKFI4fP05QUBAymQw/P79Kv4mqYG5uzvz58/nPf/5DXFxclUTq5OREfHy8+LygoICMjAycnZ3FbURFRXHmzBkePnxIcnIyrVq14oUXXmD//v1MmDCBsWPHNvh7VteW1hh92BqNBj09PdHwW3sqStiusG2hhU2jbkdjEKm5WdP8RprF6ObV0pTIy1ko62GfI0BfD/Sk2Rw6dIiMjAwsLS2xt7fHzs4Oe3t7HBwcMDd/PHJSzQUSiYQ333yTL774AltbW6ZNm8aBAwfQ19cnPT1dvDOePHkyAwcOZMiQIfTt21ecI/X29n6sptZ/Fio6ctSUUhUcOSqSoLe3Nx06dCA+Pp74+Hjat29PcHAwLVo0jRHxXxEWFhb4+/sTHR3NlStX+Mc//kFsbCynT58GYPPmzWJLR31RUFCARCIRTbg3b97MtWvXql3+o48+4rnnnqNTp06o1Wo+++wzLC0tRfK3t7cnNjZWTO2OGTOGUaNGMWbMGNq1a8fbb79Nhw4diIqK4vvvvwfKpEGDg4N55ZVXuH37Nk5OTlhbWxMaGspHH30kmgtkZGQQFhbGM888UyPBVUeWoHtbmkwmE7N8paWllToHioqKKCoqEmtODA0NdZpaEFqZNmyPY+f+BygbUGxkaCClpVvTFPk1CyJ98TlHdh9smLG3RCLlnRkDMTaWU1paSnp6OikpKaSkpHDhwgVSUlJQKpXY29uX+7Ozs2uWabDGgoeHBz169ODKlSu888476OvrExcXx3fffcf58+c5fPgwgYGBbN68mdmzZxMXF4e9vT1ffvkl3t7ef6qpdUMgiI7rklKt6MihPTjY2NjUyZGjR48e5OXlcerUKb7++mt8fX3p1avXY1WPaS4YOnRouYKZAQMGcODAAfG5k5MTTk5OODg48O677xIcHExMTAyHDx8mLy+P33//HUNDQ7GXWRe0b9+et956i6CgIKRSKaGhofTs2bPa5SUSCZMmTSIhIQG5XI6Pjw+7du2ioKCA7Oxspk+fztixYykuLmbevHkEBwfz0ksvMWDAAAoKCnB1dWXUqFGkpKRgaVlmSp2QkMCPP/6IUqnkypUr3L9/n7Vr16Kvr0+3bt0IDQ0lMzMTY2NjOnXqROvWrUXiMzAwELMetZFjbfKJGRkZlVqZtK9/MzOzKrMpFVuZdMGwQY7s2t8wDtBooH/vppFNbRbFRtCwHiKpFAb3c+C9GW1rXK6goEAk19TUVFJSUkhLS8Pc3LwSwVpaWv7to1dBND8qKgozMzMCAgKeaNF8tVpdZT9jVXJyRUVF1d41VyUn1xQVkHl5eZw+fZrLly/j6+tLz549MTc3b/Tt/B2Rl5cn9lDGxMSgr68vtti4uLgglUobpVJf+7m2jrJ2Zb5arUahUFBYWEhhYSFmZmbY2Nhgb2+PjY1NrbUcda3S17VaW7uVqabrv7pWpsbGrEVXiLxczz5SmYRBfe2aTEug2RDppavZvL34ar2VjTau9sfDte6VkWq1moyMDJFghT+FQlEuNSz8NQdbrcaGIJofGRnJw4cP6dixI4GBgWL6qymh7chRm5ejQqHAyMhIp5SSiYnJE6Ormp+fz+nTp7l06RIdO3akV69ef3tCbcy2tOLiYvFR2x5OT09PvF6E/uqGWMMJ11NWVpZI4nFxcZiamor9nO7u7nXKgGm3MukytaDRaGrs8W3MVqbGxuVr2bz1Yf05oCnV7ZoNkQLs2JfA5l1111mcN7MN/Xvb175wHVBUVFSJXNPS0jAxMakUvbZo0eKJGZSbGtqi+dbW1gQEBNRZNL+2lJL2o7YjR20CAM3dkaOgoEAkVB8fH3r16tUo/o5NCcEpp66iI/VtS6uJ7HTtwy4tLSUhIUGsBs7KysLDw0OMWOsqXqBQKMqJTBQXF5cTmah4U1RVK1NNUwsSiUQnuzahWvtJIse6Ytf+B2zceb/OHPDem20Y8EzjcoA2mhWRQtmB/GbnfUpK1DU26EqloKcn5b3pTXsAtaFWq8nKyiI5OblcerigoKBS5GpnZ/dElaQ3NgTR/MjISFJTU/H19cXb2xuZTFYrOZaUlFTpyFHV49/RkUMg1IsXL+Lj40NwcHCDCbUuLQl1iQSFqsvG7sOuzjigKVBQUFBOTk8ikZQjwooqVYLou5A2Tk1NxcXFBTc3N+zs7DA0NKyyCE2bKKtrZaqOHP9O+O7gA77Zfp9iHThAX0/KO2+0YVDfpuWAZkekANdu5bDt+wdcuJSJBspVchnoS9EAzwTZMDbEFU+PP9+PVKFQiKSqPQcr9Ktpk6y1tXWzIQbBkaO2+Zbc3FyUSiUSiQR9fX1atGiBvb19tSmlJ0l0/EmC0BogEFZOTg4XL17k5s2buLq60rp1a/T09GolvOpaEiqSV02Ep2u09zgJ73FAo9GQnp4ukmR8fDwWFhZYWlqiVqvJyckhKysLfX19DAwMkEqlKJVKCgsLkcvlOtm1/R1bmeqKa7dy2b43gfMXq+eAPkE2jB3hilfLpueAZkmkarWGcxcz+fa7eG7ezUOqZY6u1kBgJ0smjHTHt73FE/sj1mg0ZGVlVUoP5+XlYWtrWyk9/Li0WZVKpc4pJcGRo7aUqlCpp1KpuHHjBlFRUWRnZ+Pv74+/v/9fbr5PMA6oqzWcLv15EomkymKTgoICcnNzsbCwwNXVVazM1DXa+7Occp40VGxlqu76106rCkOoVCpFrVZjaWmJWS7e5AAAIABJREFUo6Mjbm5uODs7i7+Bp73UjQe1WsP5S1ls2Z3AjTu5SLQ4QKOBgE6WhL7iTqf2j6elsdkRaUJiIbMXRZObr6KoqLTKZSSSsp4hR3sjVi3piI1V8ykAKi4uLhe9Cv/r6+tXIldra2udqkUrFiPU9FhaWqpzSqk+ZewCUlJSiIyM5Nq1a7i7uxMYGIinp+djHcxrcsppaGpTKpXqPDdXl7m8ms53YWEhZ8+eJTIyEm9v76d9qP+P6lqZqiLGiq1Mwg2iiYkJxcXFZGdnk5qaSk5ODm5ubnh5eeHp6Sm6KBUVFZXzXlWpVOVMsLWVq56ifnj4qIjZ718lJ1dJkaLquVKBAxzsDFn1YQdsrJuWA5oVkd6Ly+eN9y5TWFSqk4CxTCbB3FTOhlX+ONgZNv0ONhE0Gg05OTnlItfk5GRyc3MxNzfHzMwMIyMjUc6wInEKlXq6lLI/jjJ2bZSUlHD16lUiIyNRKBQEBATg5+dXSSqvLmoquhauaDvl1IfwaiLAPzM9X1RUxNmzZ7lw4QJt27YlODi40QzdnxQI5KhLtXZNrUxVVWvLZDI0Gg1paWnivKggOyiQoqura603sULWSSDV+/fvY2FhIVbourm5PU3h1hEx9wt4Y96VOnGAmamcDZ/6NSkHNBsiTc8sZsL0SHLy6qaVKJWCvY0hW74IwPgJsVCrCkKlnq5ejoIjhzBoC3NnhYWFSKVSrK2tsbOzw8XFBScnJ2xtbZs8tVRbS4L2a5GRkaxYsYL169eL7+Xl5ZGdnU1RUREHDx7E0tKSfv36UVpaWmUPni6VmrUt21zmo+uDoqIizp07x/nz52nTpg29e/d+oglVu5WptutfoVBgaGioc7W2LpkboahIID6pVCoSZ8uWLRs8vaJWq8sVIaWkpLB161ZefPFFZs6cya+//srGjRuJiIgAynR2o6OjG6TE9FdCRlYJE96MqhcH2FkbsOVz/ybjgGZDpJ99fY8DPyehKq377hoYSJka2pKXh7k0wZ5VD0F0vKqU0k8//cSBAwdISkpCX18fBwcH+vbti4+Pj06DQ3WVehqNhry8vEqVw1lZWVhZWYnFTVZWVlhaWqKvry+S2/Xr11m6dCnXrl1Do9Hg5OTExIkT8ff3JyoqipUrV/Lll19WGwmWlpbq1HpQWypTo9Hw2muvAfDCCy8QGBiIn5+fWOX87bff8s0334gDzlPUDIVCwdmzZ0VCDQ4Oxtra+rFsu76tTMJ1fu7cOQ4ePEhCQgKmpqZ06NCB9957j/79+zf4JkipVJKQkCASW3Z2Ni1bthTTsFZWVtVmZyZOnMiWLVv44YcfGDZsmPj6rFmz+Oyzz9i8eTMTJ06scfvFxcUEBwcTFBRE69atCQ8PJzo6mp07d+Lp6fmXqx1oKNZuimX/T0n1koo10JcyZZw7I19sGg54ckM0LRQXl/Lj0Uf1ItGyz6vZuf8BIUOdG5y21HbkqK1ataCgALlcXiml9PPPP7Nr1y4+/PBDnnvuOSwtLTl16hSnT59mxowZ4raEKFPQqCwpKSE3N5f09PQ6pTIBjI2NycnJIS0tDY1GU+44CNJhH3/8Mf369WPmzJkYGhoSFxeHTCbD3Nwca2tr5HI5fn5+1RJgY1ZoOjg44OzszLBhw4iKiiIsLAxvb28CAwN1Egh/iv/B0NCQZ555hu7du3Pu3Dk2bdqEl5cXwcHB5VxSdIVKpaqRFLWjyepamczNzSu50lRsZVq1ahWbNm1i/fr1DBo0CH19fX799VeOHj3KwIED67zPMpmMlJQUMeJ8+PAh9vb2oui7s7Nznci5TZs2bNmyRSRSlUrF999/j6enp06fNzAwwNjYmI4dO/Lqq68ilUq5ffs2MTExHD16FBMTEzEN7OHh8bdrc9FGcYmaQ0eS6623Xlyi5ruDibwyrOEcUBWaBZH+fioNaNiXzy9QcTE6m4BOlYsvKjpy1JRS0nbkEAYBY2NjDA0Nsba2xtHRsZyzgXZDeklJCVlZWWzatIk333wTJycnIiMjxfc8PDxYvXo1P/30E48ePUIul3P79m2GDRuGm5sb+/fvJzk5GQMDA7p168arr76KsbExBw4cYMeOHeL3USqVDBkyhP79+/Pf//6XY8eOiWT35ZdfcurUKQ4ePIhGoyE/P5+UlBRu375NRkYGXbt25d69e1haWuLi4oK9vT1GRkbMmjWL4uJiAgMDAbhz5w5z584VPUkB/vjjD8aNG8fDhw+BMp3e119/nW3btvHo0SOGDx/OunXrMDQ0rLTspUuXmDx5Mnfv3mXw4MFIJBIkEgnu7u64u7tTUFDA5cuX2b9/P1FRUWIEU1FJKikpialTpxIREYGVlRXvvvsuU6ZMISkpCU9PTxITE8X05qVLlxgwYACPHj1CT0+PTZs2sWLFCpKTk+natStff/017u7uDbruniQYGhrSp08fkVAFEffevXtjaWmpc7V2SUlJlZkS4ZrRnnesbytTTk4O77//Pps3b+all14SXx86dChDhw4FygzlZ86cyc2bNzEyMmLEiBGsWrVKJByJRMKnn37KZ599RnFxMe+88w7Z2dn89NNPxMXFYWdnx9KlS3nmmWe4cOECgYGBJCYmilMg+/bt46OPPuLy5ctV7uPQoUPZvn07WVlZtGjRgl9//RVfX1/R1B7gww8/5N69e2zfvh2A+/fv07JlS5RKZaWpFuGGIyQkBLVajUwmY+fOnZw5c4atW7fy448/cvfuXVq3bs0LL7xAWFiYmJWZOXMm+/fvJycnh9atW7NmzRqCg4PFfbhx4waGhoYcOHAANzc3tmzZIv6WmwP+OJ3eUAqgoFBF1JVsAv0avwCvWRDpqXMZFCmqrtDVFUUKNQd+jCY1qZC8vLxymqrFxcXIZDIMDAxED1LB3ke4Q5XJZJiZmWFiYiJGfMnJyeX6I6ubn9N+/e7duyiVSkJCQjA2Nq4ysktPT+eTTz7h+++/Z9iwYRQXF3Pjxg1CQkIIDAzk4cOHPP/88zx8+JBZs2YxePBg0ZT4wYMHdOvWjSlTptCvXz8WLVpERkYG7dq1A2Dnzp0sXLgQKBtozMzMMDMzw9PTEy8vL06cOME///lP2rRpQ2lpKSkpKcTHxzNx4kR27tzJZ599hr29PcnJyRQWFlJaWvN52bFjB0eOHMHExIShQ4eydOlSkXgFlJSUMHz4cGbNmsX06dP54YcfGD16dDlxexMTE3r27EmPHj1YsWIF586dY82aNfj4+BAYGCg60YwePRofHx+SkpK4desWAwYMoFWrVvTr14+goCD27dvHlClTxGMREhKCnp4eBw8e5OOPP+bw4cO0bt2aZcuWMXr0aNE5pDmiulYm4dHKyop79+5x9epVJBIJxsbGmJublyNIKysr0eqtoiNHU+LMmTMoFAr+8Y9/VLuMTCZj9erV5X4Tn3/+OS+++KJo67d+/XoWL15MmzZt8PDwoHv37ixZsoTx48cTHR3NwIED8fHxoUuXLlhbW3P06FHRdHv79u2MHz++2u0bGhoybNgwvvvuO6ZNm8bWrVsJDQ3lyy+/bPD3F8adLl264OXlxSuvvIKzszMffvghUVFRfPHFFzg4OBAVFYWnpyddunTh/fffx8LCgs8++4yXX36Z+/fvY2hYVmBz6NAh9u/fz+bNm1m4cCHTp0/n7NmzDd7Px4XTFzKq7dLQFUUKNRf+zkSanatslPXcufcII2JEsjQwMMDa2hojIyORROuqsCKQrq5ITk7GxsaGrl27VruMnp4eQUFBDB8+HCgzBw4ICBDfFyK9sLAwZs2aJb5eVFTE8OHDmTlzpmi0PXLkSLZv386///1vrl+/zv379xkyZEilbUokEk6cOMGyZct45513iIuLo1evXmzcuJGBAwfi4uLCoUOH6N27NykpKSQkJPDgwQNSU1PFH3ViYiIqlYqsrCzRqWL69OmikfeCBQt48803KxHp2bNnUSqVzJo1C4lEQkhICKtWrary2EgkEuzs7LCxseFf//oXFy9eZNeuXZiZmeHi4kJERAQ//vgjhoaG+Pn58eqrr7Jt2zb69evHmDFj2LlzJ1OmTEGj0fDdd9+Jkfx///tf5s2bJ95wzJ8/n48//pj4+PgnKiqtqZWp4mtVtTKZmJhgbW2Nu7u7+LpcLufq1aucO3cOKysrevfujZ1d07hk6IqMjAxsbGxqLJALCAhArVbz6NEjHjx4QOfOndm8ebNYXQuwbt06+vfvD8Du3bvx8PBg0qRJAPj7+zNixAj27t2Lj48PEyZMYPv27Tz//PNkZmZy5MgRvvrqqxr3MzQ0lHfeeYcxY8YQFhbGli1bGoVItVFaWsqBAwe4du0abdu2Zfjw4SgUCo4dO0Z8fDwnTpzAwMCAs2fP4unpyRtvvMHSpUu5ffs2nTp1AqBXr17imDB+/HjWrFnTqPvY1MjOaRwOyMzS3emnLmgWRCqXNc7dr4mxIe7u7jUW8jS1Hqu1tTXp6emoVKoaBwmBfATcuXOHOXPmEBkZSWFhISqVqhy5QpkvaNu2bctFchMmTGD06NEsXbqUbdu28corr1QrrO/i4sLatWuBssj2tddeIzQ0lDNnzgCUk0YDOHjwIE5OTowcOVIk15KSEjZv3iwO+MnJyURGRmJvb4+joyNJSUmVtpuUlISzc/m5C13Iy8zMjD59+hAcHMzdu3fZvXs3RkZGnDp1ioCAAGxtbXF3dycyMhKAkJAQ3nzzTZKSkrh79y4SiURMf8XHxzNz5kzeeustcf0ajYbExMQmJVJBdFzXau3qWplsbW3x8PAoN+VQl1am4OBgunXrxoULF9i6dSvu7u706dPnTyPUmn4n2dnZxMTEEBERwfr168UbOI1GQ0BAQLkiH+1zFx8fz7lz58SbPCib1xSiznHjxtGuXTvy8/PZs2cPwcHBODo61rifvXr1Ii0tjaVLlzJkyJAmkf1MS0tDpVKVGxO8vLw4c+YML730EhqNhsWLF7Ny5UpSU1PFDoBjx47RokUL1Gq1mLGBshSyQqGodQx6XKjOlSkvL4+srCxyc3N5+NAZaLiutJ5e02RS/vyjqAMao5lWJgV/Py+6dTMQT1Zubi6PHj0qdwIFhxBdpLzqQ7pBQUEYGhpy8OBBQkJCql2u4gA4bdo0OnfuLEZfa9asYe/eveL7y5Yt4/bt25UqWbt3746+vj7h4eHs3LmTnTt36rSfrq6uvPHGG4wePbrK/YGydKtCocDOzg47OzuuX7+OsbExc+bMobCwkLVr11JYWEhiYiKXLl0iIiICExMTdu/ezaNHj1CpVGRmZorRrHYRVEJCgs5FG1KplLZt2zJp0iQWL16MUqlky5Yt2NraEhUVhZOTEwCWlpYMHDiQPXv2cPPmTUaPHi1uz9XVlQULFjB27FidtlkTqmtlqu5RaGWqeM3Z29tXWa3dVGlVfX19evbsSZcuXURCdXNzo0+fPtjbPx69agHav5OhQ4eWEzkQRN937txJ//79+fjjj6v8TUD569bV1ZU+ffpw9OjRKrfp7OxMUFAQBw4cYNu2bUybNk2nfR03bhxLlizhxIkTld4zMTGhsLBQfJ6cnKzTOrUhtK49fPiQNm3aAGU3ugIiIiL46quvOH78OD4+PpSWlmJjY4NKpeKXX37h9OnTKBQKzp8/j6en52Mp1hOqtWsrRhNamYTsnkQiEdvolEolRkZGZcWOLfRIzdLQkIlSmZQmE+dpFkQ6qK89YafTGzRPKpdLGfZcK9xda+4FE+6OqhrwBAF67QtA6GWrTexA6GWzsLBgyZIlvPHGG8jlcgYOHIienh7Hjh3jxIkTfPLJJ1XuV15enjh/devWLdatWyfalP3yyy98/vnnnDt3rso74tDQUKZPn45cLqdXr15Vrj8rK4s1a9Ywfvx4WrVqRWZmJps2baJ79+4A2Nvbk5GRQU5OjiiQ7ufnx8qVK1m4cCElJSXl0kXGxsbI5XJ++eUXZsyYgbGxMVu3bmXcuHF06NCBxMRElEolW7duJTc3l+LiYl577TUmTZrE1atXOX/+PH379q32PAnV09pwdXWlR48eHDlyhOXLl3PkyBH27NnDyJEjOXbsGAEBAYwZM4bly5eTkJDA8ePHxc9OnTqVRYsW4efnh4+PDzk5Ofz222+8/PLL4vYERw5dUqtSqbTKa8LBwaFKu6onCdqEGhkZyfbt23F1daV3797lIpumglqtJjc3l9DQUCZPnsywYcPo06cPrVu3xsrKisuXL/P222+zbNkybG1tq/xNVIUhQ4bw3nvvsW3bNkaNGgXA5cuXMTU1FVP6oaGhLFu2jPj4+BrnZ7UxY8YMgoOD6d27d6X3/Pz8xOvNwsKC//znP3U+HjKZjJdeeokPP/yQb775hoSEBPEmB8rGBrlcjq2tLSqVimXLlpGfn09AQAD9+/cnPj6e6OhoHj16REREBNnZZZ6e169fp02bNjpH0dqtTLVNKxQXF2NsbCxmRoSK/tLSUpRKJUVFRRQUFKBWq7G1tcXa2poWLVqIf1ZWVpibm4vTZlHR2cz79/VqlYx0gVwupW/Pulep67TuJllrIyPA1xITY1mDiLSlu0mtJApl0Y1QgFMbtNVVKl5IaWlpldRVDAwMMDU1xdramlGjRjF37lxGjx6NiYkJHTp0YPbs2eTm5oqeiNr49NNPee211/jkk0/o3LkzI0eO5PfffwfK5n7S0tLEwQDK7pLXr18PlM2JLFq0iEWLFlX7XfT19bl//z79+/cnPT0dU1NT+vbtyxdffAGAt7c3o0ePplWrVpSWlnLjxg3Gjx/PsWPH8PDwEOeeVq5cWW69Y8aMYeDAgSQlJfHiiy/y8ccfY2xsTFpamlgNrFAo6Ny5M2+//TY7duzAx8eHdu3acf78eXbt2lVOFlGouD19+nSlAUCpVLJr1y6mTp2Kq6srLVq0YPny5YSEhBAVFcWGDRuwtbXl9u3beHh44OvrK1Zrd+7cmbFjxzJs2DCSk5MxMjKiQ4cOZGdn19jKZGpqWqmNw9TU9C+hWKOvr0+PHj1EQt2xYwcuLi707t271pRnXVCdAtDw4cPx8vJix47/Y+/Lw5sq8+9PtmZp2qRtuq8pLSAFWmjZLFD2xQGR74AIggJuoKAsiiKizMggAqIMqIw7sjkg6oAiAwq0BQVpoUApW/d9S9sszZ7c3x/93XeyNmmbllY9z5MnbZre3CT33vO+n/d8ztmPb775hoTHr1u3DkDr54Qj+Pj44OTJk1i1ahVWrVoFs9mMxMREq/X4mTNnYunSpZg5cya8vd3LrvT398f48eMd/m3ixImYM2cOBg4cCIlEgpdffhlHjx5tw6fTgl27dmHhwoUICQlBnz59MHfuXLJkMXnyZEydOhW9e/eGt7c3Vq5caVUG9vLyglgsxowZM0BRFC5fvow333wT165dw/Hjx+Hn54eQkBCiF6HtFFtLZbI9B3x8fIjdJn1NbGxshEwmA5/PtyJJmij9/PwgEAjcqrAMHiCC0JsNjbb9a5zRkYI/80i/+rYMH///6Jy2gsdjYt2Kvhib2vlB085gNpvdbrFRq9Xw8vJyy5jB29vb5TqHRqNBUFAQLl++jPj4+C56xy2iqE8++YSIPdoCS1P/6upqYiyhUqkQGBiIoKAghISEEIKlSdVRK5Plmkt1dTUaGxthNLa4o3A4HKLGduUt/Hsgx47AYDAgOzsbv/zyC8LCwpCWltZuQrX1pDWZTFbRZPfSk7ZXr17417/+1a7jtqvw8ssvo7q6Gnv27LH7m8FgcHtZQa/Xg8fjgclkkqAFkUiEoKAgREZGIjQ0FN7eLSH3Wq0WTU1NaGhoQGNjI7mp1WqIxWJi8kKTJH3z1Hlz6GgFPtrbTg7gMrH2+d4YN7JzOKDHEKneYMaSl66gqKS5TU25XC8mkhPF2PxafzCZPSPdwpIMXJVQmpub4eXl1Wpp+cCBAzhz5gxOnz7dpeKCjhCpJehEDpVKhaamJlRWVqKurg4NDQ1QKpXQaDSk75R2V6Kb/mmStP1MNBoNbt68iby8PMTExCA5ObnLTfN7KgwGAy5fvozz588jNDQUaWlpZB3aGUwmE8rKyoiLUH19PaKioogFX2BgYLf47I8cOYKXX34Zd+7c6Vb2kdevXydG+RcuXMDTTz+NF198EYMGDbJbdzSZTG75CtOpTPS6pFwuR1VVFQoKClBRUYGGhgbS3sZiseDv7w+JRGI3q/Tx8emSz0pvMOO5V66ioLhtHODlxcTgASK8/VpCp3FAjyFSAFAoDXjulRxUVGuhd2NUwuUycV+8D97520BwvbrPSeFJ0KTrbMT55JNPwmw2Y+HChfDz87MrT7Z239GRZGtEapvI0dqAgU7kcLYWLRAIyOdAuzfRpv4SicQuNceyZKfT6ZCbm4usrCzodDoMHjwYgwYNcrus90eG0WjE5cuXce7cOYSEhCAtLQ3h4eEA/pfbSc84adN32qknIiKiWyhGLTFmzBjk5eVh7969mDx5cqe/nm0rU2vnQElJCY4cOUKCKqZOnYrHH3/cjhiFQqFTtbZOpyOzSNtZpUKhIH3DlrNLFouFxsZGlJaWori4GGKxmAx+7oXpvlJlwLJXr6G8yk0O8GKiT5wQ2zf0B5frfptiW9GjiBQANFoTtr5/B2fP14HBYDic5vO4TFAU8ODkUDz3RC+Ptc/0dDjz/nU222WxWC7Vy5aCGWcydkf3tokcrW2fTuRoK/R6Perq6uzKw2w2m3gO0+XhgIAAEu128+ZNxMfHIzk5GdHR0d1iptSdYTQaceXKFWRmZhJTh+rqajCZTEKcnjB97+6gW5ncKak2Nzc7bGVydu9OKxPtVGZLkvTvBoPB6VolTZqtgTbdpwdHNTU1iIiIIN9xcHBwl5wrWp0J73yYj9PnXHPAtIkhWLZYCja7cydSPY5Iacga9Xj/8wKczqyD0WKaz/ViYvqkEDz5aAyEwj/2mlZHQKtUaW9f+qSkXaE0Gg20Wi0MBgNZbwRaxFpsNhtcLhd8Pp9cWEUiEfz8/BAQEACxWAyhUHhPSmcURUGhUNgFqjc1NcHf3x8hISHw8/ODSqVCUVERmEwmkpOTkZiY2Ck9gj0ZRqMRpaWl5MLa0NAAsVgMhUKBoKAgjB8/nihLeyos1dquWjmam1uCvt1R8dPJTW0lHqPRiKamJoezysbGRnC5XCuCtCRMb29vjxKdVqtFcXGxXVsSTazuCDY7AlmTHh9+Xoifz9XbcAADf5kQjKfmx0Do3TUc0OOI1GSisP9IKQ5+Ww6j0exQDs3nMSEQsLHokWjMmBL654zCBu2Vsbc2a+RwOA4FVY4uNp4eiXsCBoOBzF4tM18pigKbzYZWq0VYWBiSk5PRr1+/P6TwiKIo1NTUkIzOsrIyBAUFkQtneHg4WCwWjEYjcnJycO7cOUgkEqSlpdkZjNxLdEZlxpIcOwqNRmNFkg0NDUTk09zcTAaltrNKPz+/e9pKRRtlFBYWoqioCEKhkBwb0dHRHts3s5nC/iNlOPhNGYwmCmoH1oF8HhMCPhsLH4nGQ1M7nwN6FJHq9Gas/Ucurt2QQ6tzXR/ncZkYPyoQLy/v02OERu2Fq0QOd2Xstve2iRyegLPyl6MLmdlsdqu03NraUHthaepfWlqKu3fvora2FmazGUKhkKga6fKwj4/P727QplQqycWxsLAQXC6XzDqkUinxcnUEk8mEnJwcZGZmIiAgAGlpaZ02Q3WlFbAd2FlqBVwdW54eNNF9ss5mlRRFEYK0VMHSvZXdSQTlDLR1I33sVFVVISwsjBw7oaGh7XofeoMZr/4jFzm57nPAmNRArH2+D1iduMTXY4jUbKaw9h+5yMppapP8mcdl4oEJIVi1pOvaPjyFtsjYDQaD2yKirjAd9xRo4/XWLoovvvgiZs6ciZiYmDarFdsKiqJw9+5d/PrrryRJhs1mo6mpCSaTyU7YFBQU1KNmr3q9HiUlJeQCqFQqrdpS/PzabvhtMplw9epVZGZmws/PD2lpaW7ZLtJqbVfmF+6q1y0f74zvxFJcRyc9OZpVyuVyeHt7k1nk999/D5lMhp07d8LPz69HnZ/uQq/Xo7i4mAzIVCoVyX7t1auXlW2jM5jNFNZtuoHfrjS2mQOmjgvG6md7d+QttIoeQ6THf6rG9t133RqF2ILHZWLz+v5IcRCh1tWwTeRo7QJhNBrbRAxSqdQj7Saealvx1HbcfZ20tLQuHXgoFApcuXIFly9fhq+vL/r37w+xWAyZTIba2lpUV1dDJpNBJBLZEaxIJOoWF0uKoqxmDpWVlQgNDSUXuPbOHByBJtSMjAxiQuLt7d1qPzWXy3XrHHDVTx0TE4OamhqwWCxwOBzcf//92L17d7tLzhRFobm52YooH374YTz22GMIDQ2FVqu1Ur/u2rULp06dImEZycnJ2LlzJ/r27Wu1XUcxa7/HIHuFQkFItaCgADwej6iBpVKpQz/wH09X450P70LbDncjHpeJt9YlYMggf0/svh26l/68Fez7urRdJAoAWp0Z+78u7TQibUupkk7ksL0wSCQSuxlVe2dNf1RwOByIxWK3RrfOSuGNjY0oLy93uxTu5+eH6dOnQyaT4fbt26iurkZiYiJGjhwJiUQCk8kEmUxG1lyzsrJQU1MDvV5PZqzBwcEICQlBUFBQl6xxyeVyq3Ktt3dLgPSIESPaFSDdmsOX7b1GoyEK79OnT8PLywtRUVEICwuDRCKxG8i0R63tDMeOHcOECROg1Wrx7LPPYvny5fjuu+8cPpfun5TL5U5VsGw222p9ks1mY9CgQZg+fbpdmf/f//431qxZg40bN0KtVuOpp57CwoULe1SUmSfh6+uLpKQkJCUlkbX3goICXLp0Cd9++y0JXKfX3plMJvYdLmsXiQItHLDvSNkfm0hv3lGgtl7XoW1cvSFHbb0OQRLXpsWuZOzuimciXSVsAAAgAElEQVSCgoLumXjGEo2NjViwYAEuXrwIo9GI1NRU7N69GxEREd1yO2PGjMGoUaNw+vRpXLt2DSNGjMCBAwcgkbT4ZO7duxevvfYaVCoVVq1a1abXpsFmsyESiYhvcGtwJs6Sy+WorKy0ekyr1SI7Oxu//fYbvLy8EBQUhNDQUPj6+hJhjlAoBIPBgFKpRF1dHSoqKnD58mXU1dXBx8fHbvbq5+fXoWNGp9NZqSs1Gg25SE2aNAm+vr52/9Oa57TtOeDMc9rROUB7TtOvcf36dWRkZECtVmPMmDGIiYnp9PODx+Nh1qxZxJ6ysbGRGNSXl5fj+vXreOKJJ6BUKnHmzBnIZDIIhUJMnz4dL774IiHOw4cPWx2HXl5eCA4Odvh5WkIgEGDevHmYM2cOAOvwb9qvlx4Mnjp1CkuWLIHBYIBQKCTLCL8nMBgMhISEICQkBKmpqTAYDEQN/sMPP0Aul4PvE4eqmo755F7Pk6O6VouQIOfr+u1FjyDS709Vt8sWyhIUBfz4cwWmTRC5pVZ1JmMPDg72iIy9K2E2m7Fo0SIcOnQIJpMJixcvxrJly5yOxrvDdg4cOIAff/wRkZGRmDp1KrZt24bNmzcjLy8PS5cuxfHjxzFs2DCsXbsW5eXlbXr9toLFYsHX19flBRL4H+kqFArcunULt2/fxpUrVyCRSODj42M1QKOThuhjqW/fvmCxWDCZTKiqqkJ+fj7kcjl0Op0duQYHBzuNw6P7/egZZ3V1NcLDwyGVSjFlyhQIBAJynF+7ds3hOeAsBUkobDHetyyttjd6kMlkIjExEQMGDMD169fxww8/wNvbG2lpaZBKpR45pyiKglKphNFoRH5+PphMJqqrq7Fr1y74+Phg+/bt8Pf3R2NjI7KysrBjxw6kpaXB29sbN2/exJo1a5CQkIDc3FxMnDgRDz74IB566KEOHYcqlQr79+/HoEGD7P6WkZEBqVSKpqYmUtrdvXv376602xo4HA569epF0p9UKhU2vZcLg1GLjqS/UBTwU0Yt5s/yvOCtRxBpZY0WHV3JNRgpnPzpN8hrau1KdLSfpK3BwO8FAQEB+Otf/0p+X7duXavJKt1hO4sWLSKRUQ8//DAx+v76668xbdo0MnJ/8803SYZqd4Al6UZERJAQgKysLFy7dg3h4eEYP3488Tx2NIizXCMXCASEGOk1PoqiYDAYiE+wj48PuFwu9Ho9UYN6eXmRBB4fHx9UV1ejpKTEqpWJPt59fX0RFhZmdQ50di6vJSwJNTc3F8ePH4dAIEBaWhpiY2NdEqrBYHDaW9nU1AQejwetVouVK1eCxWJBq9UiICAAR48exdChQ8FgMHDhwgVER0fjySefJNu1tD0cOHAg5s6di/T0dDz00EPtOg63bduGXbt2gcfjYejQofjiiy/a/6H9gSAUCqEzCEBRHatKGowUqmq0rp/YDvQIItXr2p/6Ygkmiwc+n09G/VqtltwrFApwOBx4eXmRm+3vlo95cu2ms6FWq7Fy5UqcOHECjY2NAFraGkwmU5veR1duxzaIWKVSAWgJAbcUiHh7eyMgIMDt174XkEgkmDJlCsaPH48bN27g3LlzOH78OLEjtI0mMxqNdhUTpVIJuVwOhUJhZYpRX1+P+vp6u9fUarUwm80QCAQQi8WIjo4mRhi2RNpdjmUmk4mBAweif//+uHHjBk6cOAEej4fRo0cjLCzMrk2EJk7aNN2yt1IqlRKhj5eXF3bu3ImvvvoKEyZMgMlkwn/+8x9MnToVeXl55PO3FR5dvHgRr7zyCnJzc6HX66HT6UisXnuOwxdffBEbN2708Kf2x4DOQxyg9dB2bNEjiNTX1zNS9cQBvTB1agr0ej0MBgP0er3VTafTQalU2v3N0XMZDIZTknVEwu6SNIvF8niZ+J133sHt27dx8eJFhISEICcnB4MGDWpzwG932E5oaChu3rxJfler1ZDJZG16/XsBupVJIpEgNTUVlZWVuHPnDrHV4/F4pCxMq7VtZ4hsNhtsNpsEH8fExCAuLg5xcXHE9F2n06G6uhrl5eXE3L+srAyVlZUQCAQkPNlkMkGj0RDxj7sGGZ3lj0ubplvOKiUSCaqqqnDw4EEALeuGoaGh8PPzQ2RkJAYOHAg/P78291bS+Z7PPPMMzp07h1mzZgGwD6+fN28eli1bhh9//BE8Hg8rVqwgg5bOOg4dnfvdednIU6BbnRz11TY0NKCqMgZAx7NE/USdU2nsEUQ6eKAYl640tlu1CwACPgtDB4ciIqLjXwZFUTCZTE5J1tFjtPrTFUkDaHUm3NrPBoMBZWVlyM/PJ48JBAI0NTWBz+dDLBajoaEBf/vb31y+R4PBYBWczWazoVQq79l2aMyaNQvDhg3DuXPnMHToULz++usO81u7Anq93m13HMtEDpqUYmNj0a9fP8hkMhQXF8NkMmH48OFISUmBt7c3ZDIZEQjdvHkT/v7+iI2NxbBhwxAZGemQ1LhcLqKjo636NCmKQlNTk50tIr32GhAQAF9fX7LeT8+IGxoa7GbGHA7HbdK17dXU6/VOHXto03TLWWVCQgJGjRoFsViMoqIipKeno6mpCYmJiYiPj283wVAUhaNHj6KxsdEqw9cWSqUS/v7+4PF4+O2333DgwAFMmjQJQOcdh4GBgWAymSgsLCRLG8HBwSgvL4der+/RS04mk8lusGR5Y7FYVt9/VFQUkpKS4Ofnh+gMJXbvKeoQB/D5LAy4z7XOoT3oEUQ6dVwIPvyiqEPbYLMYuH+oZ0qADAaDzA48DZqg3SFdOkTX8m+LFy+22t64ceOQnJyMW7duQSQSwdfXl4QQf/HFF+DxeHakrNVq8cADD1ht59lnn8WiRYuI7VtoaChWrlzpUmhku51169ZhxYoVmDdvHiQSCcLCwrB69Wq3BUsJCQl4//33MW/ePDQ3N2PVqlVtVg07A63WdrcXlaIohz2OgYGBiImJsSIWV2ptiqJQUFCAc+fOITMzE0wmE15eXujduzcGDBiAGTNmtNv0ncFgkIuTZd+iXq8nRv41NTW4ffs2ampqwOFwiKBJKpUiODgYEomEZFI6GjiUl5cTkRVddmYwGKRsbDKZYDabiYBJJBIhICAACQkJCAkJQWBgYKvnU0JCAvr164ebN2/i559/Rnp6OtLS0tpEqNOnTycVn+joaOzZswcJCQlOn//BBx9g9erVWLZsGdLS0vDwww8TxWxnHYcCgQDr1q0j6tUTJ05g3Lhx5HNiMpkOS/ndBXTCjKOWIaVSaTVY8vf3R3h4OPm5NZesqeO9PcIBqcM6PpFyhB5jyPDm9pv4Kb0WpnYMSLw4DMyfFYXF82I8vl89BWazuVVSbm1m3dpzjUajy/VkVzNsZ797SrVJVwRctXI0NzcDgNsmGB1Va9Om73RTemNjI6KjoxEVFQWtVotbt26BwWAQ0/zWLjSeAkVRkMvlhFxpYwm5XI6AgAAEBQURcRODwYBarbaaXXI4HLI26evrCx6PBy6XCyaTadVGZNtCw2Kx3HIloi37bt68iYyMDDCZTKSlpaF3795/iBLovQatgnYWx9bRhJnWsOm9Wzhxpgbtmfh7cZiY99cIPPmotN2v3xp6DJGWVqjxxIpshyb1ruDrw8b+D4d0Wn38jwx6vc4dQnZF0LZ/c0bEtmvJZrMZZrMZRqMRBoOBbEOr1UKr1YLBYFhdmJ1doDtbrU1RFGpra0m51pnpu+XzS0pKkJ2djfz8fPTt2xcpKSkICwvrVNLQaDR2F0qZTAaZTAa1Wk0GEAaDgZTjgoODERkZiYiICEgkkjZVa+iEFXcrAfT36e3dkhnb0NAAFouF3r17IzY2loS5e2Kw80cEnTDjaFbZ1NTUpQkzliiv1GDRC1nt4gAfIRsHPhwCP3HnnN89hkgB4FJOI17ZmAtdG+rkfB4LH7ydhPhYYSfu2Z/oKOhEDkuVqkKhIKVC2jJOrVYTcuRyueBwOIRYbYVaZrMZJpPJjrjZbLZbyuy2qLi9vLwcCl6USiXp5ywsLASHw7HK6HR3ltnc3IwrV64gOzsbfD4fycnJGDBgQLuI32w2Q6lUOnXsMZvNDi+Sfn5+EIlE5H3SsxPbtdfGxkZCrpY3T5j6Oyq/K5VKlJSUoKioiAQK0LNfR2YpzqoM98Is5V6ANvh3NqvszgkzWVcb8cqbuW1aK+XzmHh/cxJ69+q8WLceRaQAcPVGE176Wy7MZqrVD5PPY4LLZeGf/0hEbLR3F+7hn6Bhm8jRWkmVTuRwdtFzJWRpyz4ZjUa3y9qOfnf2N3pdk8FgkF5PugXF19cXYrEYPj4+bSZp21lqQUEBsrOzUVxcjP79+yMlJQXBwcFW79NgMDi9UDY1NUEgEDhNGOmoabrRaLSKpKPLwxRF2ZFrYGCgxwzkKYrCnTt3kJ6eDrPZjNGjR6NXr15OTe4dCcLcPf66u30nnTDjTAULoMcmzFy9Iceav1+HyeQGB3ixsOMfA9ErpnMnUj2OSAFA1WzEj6erceBIGeRKIygzBTMFMJktvhchQTzMnxWF8aMCweV2jx653wucJXI4I0dHrRXOZgSd1VrRmaAoCtXV1cjPz0dBQQEqKysRGBiIiIgIYk7fGnG7Kou31mpFh5QrlUqwWCwyo9JqtVaBByKRiPRZSiQSBAQEkP7RriID2uTddvYqk8kgFovtfId9fX07pMq9e/cu0tPTYTQaMXr0aPTr188tYwd3SsvOWpSc3XdWmotlwowtYdomzNjOLHt6wkyz2ogff67BgW/K0KQw/I8DGACDAQQF8rBgdhTGjwwEj9f5HNDzrlwA1BoTZE0maI1MsL3YMOhNoMwAmAxwOEw06xiQyY3QaM1/EqkboE3H3fEVdpTIQd9LJBI7wuyJ5OgKcrmcCISKioogEAisTN+dWfe1FSaTCU1NTZDJZKirqyMXS7lcjtraWjCZTHh7eyMoKIiUMrVaLfz9/REQEAAWiwW9Xg+NRgOFQoH8/Hwr0qYoqk39zu6Kxthstt1FmrbcFAqFxPqNfo/19fWEWC9duoSamhoYDAaHkXTulBUZDAZ69+6N+Ph45OfnIz09Henp6YRQnc22OBwOIRxXoPuCbc+PhoYGlJWVWZ1Der3e4fniaEBpSXD04MPZrFKn01klzEgkEsTHx1uZ6P9eoWo2ol6mg6rZAAYAo5mC2QxQzBZhkVJpQL1MB43W1CVE2uNmpJm/NeAfO+7CZKJgMDrfdS8vBtgsJja/2hcDO6l3qDvDMpHDVUlLo9GAx+O5VdLqTk44XQXa9J0mT41GA6lUSmKf3DG+b23bznorlUolfHx8nM4qHK2vNjY2Ijs7Gzk5OQgKCkJycjLx8LWFs15oV6VuV883m81tJmXb300mExQKBUlfkclkqK+vh6+vrx3BisVit1qLzp49C51Oh7S0tFYJ1dNwljREn5tyuRxKpRIajQZGoxFMJpOYZjCZTKuWIX9/fwQFBZGWoT/auQgA5y7WY8PWmzCZKRgMzjmA68UAi8XE1jf6IzHBdSJUR9CjiPTML/XYvKugTQb2XC4TW9bdh8R+PZ9MTSaTXVyVM3K0TORwNgK2vO/OayJdDbPZjMrKSqKupU3faZFQSEiI22Uxy3YBRzML23YBS1FHR9oFjEYjbt26haysLMhkMiQlJSE5OdmtiLmOgm618tTas2WrFYfDIURDi8nMZjN4PB4hHF9fX4hEIggEAjvxWF1dHa5evQq9Xo8RI0ZgwIABnS4yohNmHIm7VCqV1WBJLBaDz+eTtfHW+pp1Op3TYAHb+670Tu5MnDlfi43v3m6T4JTLZWLrGwMweEDnHfs9hkjzi5vx3Ku57UqBEfCY+OK9JLci1Loatr11KpUKO3fuRHFxMZ577rk//InjKTAYDNy9exdxcXEO/97Y2EiIs6ioCL6+voQ4o6OjWxXEGI1Gh20Clu0CzlSwndkuQKOurg7Z2dm4du0aIiIikJycjPj4+B53fFi2WlmSrFKpRH19PWQyGRobG4nSm8PhkD5WNpsNFotFSF6j0UCtVhM3IjabTVTgbVVxczgc4uBFn6v0bLqpqQlGo7FVFbSjwdLChQsRERGBjRs3IjMzE08++SRu375t9Zw/2sA6v0iFZ1660iYSpSHgs/DlrpROiVADetAa6Z7D5dAb2mcPpTdSOHK8Cksfi/HsTjlBa6Wc5uZmzJ8/n/jK0r149Mm0dOlS0kMZHx9vdYDz+fx2HeBZWVnYsGEDzp8/D4qiEBYWhpkzZ5JsRU/DMl+xNXz11Vd49913kZubC29vb0ilUjz++ONYunSpS3IpLi6GVCqFwWBo11qQVqtFUVERIU+DwYDY2Fj06dMHU6dOhY/P/6TytMDK3XYBf39/SKXSbtEuALTYzlma5mdmZhLT/MGDB1u91+4MJpMJLpeLPn36kCQcoVCIKVOmYNeuXRAK/6fMNJvNaGxsRHV1NVEO19TUoLm5GUFBQYiMjERQUBDMZjNu3LgBtVqN4cOHIzY21spdjCZtep2ZnkWq1WpoNBpUVFTgv//9L4qKiojqNz4+HqNGjYJQKASLxYKXlxd0Oh1kMhmUSiWqq6tdlrppZXVJSQni4uLwyy+/QKFQWLVasVgskv7jCq0t9dTW1rq91GO75NOVSz17/l0CfTvjNPUGMw4frcDyJ3u5fnI70CNmpE1yA2YvyW61Hu4KAj4L332WAi9O+0Zatokcra07tkVc0K9fP3zyySeYMGECeS13icgd/PLLL5g0aRLWrVuHxYsXIzg4GKWlpfj0008xduxYjBkzxuF77YhQwZ39f+edd7Blyxa8//77mDx5MoRCIXJycrBt2zZ89tlnLgU7bSVSBoOBs2fPwmw2o7CwELW1tYiMjCTrnBKJpNXeSgBOZxXdvV3AEaqqqpCdnY0bN25AKpUiOTnZrciy7oCYmBhyzlRXV2Py5MmYNm0a/vGPf7j8X61Wa2WLSN/odVmz2Yzw8HAEBARYtRA5SphRKBR45JFH8Nhjj+Gll15CREQEamtrceDAAYSEhGDOnDlWiu22lLrfe+89iMVizJgxw+Fz6VYrV2vO7gjEbFutPCU+dHT9a+91Ra4wYObCX6HvAAfw+Sz8sP/+dnNAa+gRRLr/2wp8ebgMOn0HPkQeEy8u6YXxI//ntdgd5O6WFwUaGzZsQF5eHng8Hr799ltERUVhz549SElJAdAS4bR8+XJkZGRAKBRi5cqVeP755x1uf+TIkRg0aBB27tzpdB+++OILfPzxxxg6dCj27NmDZ599Fhs3bsRnn32GrVu3orq6GkOHDsVHH31EzNBfeOEFfPPNN5DL5YiPj8d7772HUaNG4cSJE3jwwQdBURS4XC569eqFq1evWr2eXC5HWFgYvvzyS6tcUlv88MMPeO2111BQUACRSIQnnngCGzZsAABERUWhrKyMuNucOnUKgYGBeOKJJ5CTkwMOh4ORI0di7dq1KCwsxLx58zB79mxkZGRAo9HggQcewLx581BfX49ly5Zh0aJF6NWrF/z8/MBgMPD000/j1KlT5LGe3i7gDDqdDtevX0dWVhb0ej2Sk5ORlJREPtfuCNtzZs2aNbhx4wZ++OEHXLp0CdOmTUNFRQW5aB85cgRvvvkmLl++jNOnT+Oll14iwQ5DhgzBtGnToFAoALR4QU+fPh3nz5+HWq1GSkoKli9fjsjISISEhCA4OJh4Hs+fPx9yuRzHjh1rdX8//vhjvP3222hoaMDIkSOxe/duhIWFgaIorFq1Cvv374dOp0N0dDQOHDiA/v37W5V2z549i/nz55Pg8JiYGDz77LP48ssvUVpairFjx2L79u1gMpnQ6/XYvXs39u7dCwaDgUWLFmHr1q34+OOPERgY6JLQAbRJxU0veVian9g6i9FGKu62w9H3lqS7/0gZPjtY3K6yLg0+j4WXnovHpDHBrp/cRvSI0u6N28oOkSgAaLRmHDuejZI7FYQcnTVgBwQEIDo6+p42YB89ehTffPMNPv/8c7z22mtYtmwZLly4ALPZjOnTp2PGjBk4ePAgysvLMWHCBPTp0weTJ0+22kZzczN+/fVXtzIQL168iEceeQS1tbUwGAz47rvvsGnTJhw7dgzx8fHYvHkz5s6di19++QUAMGTIELz++usQiUTYsWMHZs+ejeLiYkyZMgWvvvpqqzPSX3/9FTqdDjNmzGh1n7y9vfHll18iISEBubm5mDhxIpKSkvDQQw8hIyMDUqkUTU1N5ISbPXs2EhIS8NRTT6G4uBhlZWW4ePEi+d6ysrKwevVq8Hg8vP3225BKpVi4cCHmzJkDPp+PlStXAgB27NiBSZMmkdDm3zO4XC5SUlKQnJyMiooKZGVlYefOnejduzeSk5MRFRXVrQcQ5eXl+PHHHzFu3DgALQHcIpEIn376Kfr374/Gxka89dZbiImJwaZNm9DY2Ihp06Zh8ODBMBgMeOWVVyCTybBmzRrw+XysW7cOZrMZZ86cwcmTJ7FhwwZcv34dfD4ft27dIrPX4OBgHD9+HKtWrUJtbS1pN7LF6dOnsXbtWpw8eRIJCQl48cUX8cgjjyAjIwMnT55ERkYG7ty5A5FIhFu3brktBvv6669x8uRJ8Hg8pKam4tSpU1iyZAlOnDiBgwcPIj09HVKpFM888wwAYMyYMU71AZawLWu7EoHRFThXvtwURZGgD4PBQDJ1afMSOlHLaDSSWTyLxSIisvNXY6DTdWxwp9GacCtf+cclUqXK6JHtcPn+GD++b4+wBBs5ciRJTlmwYAHee+89AMClS5dQV1eH119/HQAQGxuLp556Cl999ZUdkdJ2b5bB0WvWrMFHH30Eg8GAtWvX4rXXXgMAhIWFYfny5QBahBf/+te/sHbtWhIz9eqrr2LTpk0oKSlBdHQ05s+fT7a5evVqbNy4Ebdv30ZiYqLL91ZfX2/nx3r//fcjLy8POp0O//3vfzF69GirsvPAgQMxd+5cnDlzBqNGjUJxcTGAlgtKXV0dFAoF7ty5g+LiYgQFBaF37964//77Sfn1+eefx/vvv4+pU6cCaMmkPHLkCDZt2oRnnnkGs2bNwttvvw0mk4m9e/dizZo1rr+k3xEYDAYiIiIQEREBjUaDq1ev4tixY2AymV1qmu8K9EWXHoSp1WoMGDAAcXFx2Lp1K/R6Pfr164cvv/wS69evB5fLxY0bN/DFF1+gb9++dqXFyspKpKeng8/nk8deeeUVDBw4EAMHDsTZs2dx+/ZtSCQSjBo1CgMHDoRKpUJNTQ0UCgU0Gg0OHToEuVyO69ev49ixY6AoCtOnT8dnn32G/fv3Y/HixRg8eDAA4K233oKfnx+Ki4vB4XCgVCpx69YtDB06tNVIN1s8//zzCAsLA9CSapOTkwMAOHToEBYtWkRSbd544402LRGxWCzw+Xyrz8MTsLTqtCRZnU5HcnE1Gg10Oh2ZydK/63Q6qJo9E8gtVxg8sh1b9Agi5fM8U9P29eEiJCTEYw3znQlL8hMIBMStpqSkBJWVlVYjV5PJhFGjRtltw8/PD0wmE1VVVSQ+a8uWLdiyZQvmz58Po/F/A5TIyEir/y0pKcELL7yA1atXk8coikJFRQWio6Pxzjvv4JNPPkFlZSUYDAYUCoXb8U4BAQGor6+3WoulZ7oRERHQarXkArd161YUFBSQklFCQgI+/fRTYnNWXl6OqKgopKamYu7cuXjrrbfw0Ucfwc/PD6tXryYzFaClHEwjOjoalZWVAIBhw4bB29sb6enpCA0NRX5+Ph588EG33svvEXw+H8OHD8ewYcNQUlKCrKwsnD17Fvfddx8xze9M0KbpzsRdSqUSS5YsQWpqKkpLS7Fp0yYkJiZi0KBBEAqFqKysxH333YeRI0di3759GD16NPr37w8AuHPnDlatWoWsrCyo1WoYjUYkJydbvb7luSeRSBAREYGZM2ciPT0dGRkZGDVqFJKSkhAQEIC4uDgsWrQIBoMBtbW1WLNmDbZs2YLy8nLs2rUL58+fx7Bhw3Dy5EnS9xoQEICKigqMGzcOy5Ytw3PPPYfS0lLMnDkT27Ztg6+v61Y92+sDfSxXVlaSJSDA/rxuL5wppl3NWl0912g0ErElk8m08nGmy8VGoxEMeIYABfzOEUb1CCKNCOUj65q8XfE5NFgsCg11+Xjnne/h7e2NkJAQYkkWHBwMf3//bjs7tURkZCSkUinu3r3r8rne3t4YNmwYvvnmG4wdO7bV59q+98jISKxbtw6PPvqo3XMzMzPx9ttv4+eff0ZCQgKYTCb8/PyIEtnV5zh8+HBwuVx8/PHHGDZsmN1F8vDhwygsLMQbb7yBBx98EGvXroVWq8VHH30EjUaDfv36kfLsihUrrGYZH3/8MQDg3LlzmDBhAkaPHk1KWmVlZWSkXlpaakUIjz/+OPbt24eQkBDMmjWrW8y+7jUYDAZiYmIQExMDlUqFnJwcHD58GHw+HykpKejfv3+7Fcm0abojcVdzczN8fX2tRF3R0dHk948//hhTp04la6R1dXXYvn07ybQNDw/HiBEj8O2332Lv3r1YunQped2lS5di0KBBOHjwIHx8fPDee+/h66+/drm/UVFRWLBgAcrKypCeno7MzEwMGjQIR44cwaJFi8DhcBAeHo7w8HDExcWBx+NhzZo1yM3NhZeXF/h8PvLz83H69GnU1dXhzJkzqKmpQXJyMh544AEwmUwsXrwYW7duxZtvvtmuzxRoIdji4mIolUro9XrSMlNcXNwhkw2TyeSWgInJZBISNJvNoCgKDAaD3ACQViEmkwmRSETSelqLLPxwTym++b6iXTGaNLw4DISFeHamTaNHEOm0CUH44efadvWQ0mAxmXhtzXSIfB5CQ0MDUetdvXoVNTU1UKvVVsRK37rbBXXo0KHw9fXF22+/jeeffx5eXl64efMmNBoNhgwZYvf8LVu2YPLkyQgPDyneKgoAACAASURBVMfixYsRFBSE8vJyFBUVtbpmsmTJEqxfvx5JSUlISEiAXC7HyZMnMXv2bCiVSrDZbAQGBsJoNGLz5s1ErAEAwcHBOHnyJMmxdNRbOXbsWLzyyit45plnMHbsWMTFxaGmpgYMBgNpaWkICgqCWq2GXC4nJ+WtW7eIQlOtVoPJZKKwsBC9e/cGABw+fBgjRoxAREQEEQ1Zrltt3boVw4YNg0qlwo4dO7Bq1SrytwULFmDgwIHw8fHB3r17PfFV/a4gFAoxcuRIpKamoqCgAFlZWTh16hQGDBiA5ORkO9N82jTdUW+to4SZsLAw9O/f3y5hxh2sWLECMTExyMnJQVJSEgDgsccew+bNm1FSUoKZM2eS5yqVSvj6+kIoFOLWrVv48MMPERgY6PZrRUZGEuGP0WjE+vXrMW/ePLz11luIjo5GfX09bt68SZJuFi5ciEceeQTPPfcchg4dijVr1mD48OFYuHAhfvrpJxQWFsLHxwe1tbWorKzElStXsH//fpSWlkKv1+Ps2bO4fPkytFotjh49SqwJT548iaKiIhgMBly4cAG1tbXYuHEjTCYTdu/eDaDlPDx8+DAA4OrVq2hoaLAjQl9fX5eqX7PZTERDjjoW5HI5+ZluSbLVnDgSFLVlEDZ9UiiOnqiCqQMcAKBT1keBHkKksdHeiAzjIb9Y3a7/ZzCAoUli+IlaFGYSiQQSiYTMToD/yeLpvrPr16+jtrYWfD7fjlz9/f3vWbsDi8XCsWPHsHr1akilUuh0OvTp08epoGjkyJE4ffo0/va3v2Hz5s0AWsqnM2bMIGuijjBz5kyoVCo88sgjKCkpgUgkwsSJEzF79mxMnjwZU6ZMQe/evcHn8zFv3jwEBgbi/PnzKCsrQ11dHcrLyxEbG4ugoCB88MEH8PPzIwpYPz8/cDgc7N+/Hzt27MDOnTvB5XIREBCAsWPHQqPRgMvlYtu2bdi0aRN+/PFHpKWlYc6cOWhqagLQUs5at24dUlNTYTAYcOLECVy6dAkrVqyAXC5HcHAwduzYAan0f0G+M2bMQHJyMuRyORYuXIgnnniC/C0iIgKDBw9Gfn6+wzL5n2gBg8FAXFwc4uLiIJPJcOHCBezZs4dkVDIYDGJEYJsw06dPH/L9CwQCj1WAAgMD8dhjj+HNN9/EkSNHALQcv0uXLsXMmTOtFMjbtm3D008/jS1btmDQoEGYM2cOTp8+7XC79MzKYDBALpfbzdimTJmCgIAA7Ny5E/369YPZbEZAQAASExMxceJEHDhwAHq9HpMnT8bEiRPR3NyM6OhoTJs2DZ9//jlKSkpw/PhxyGQycDgcJCQkYNKkSVAoFMTgPzMzExUVFcR8wd/fHxwOBwMGDMDYsWPh5eWF0tJSFBcX45VXXgGLxcLmzZuxY8cOMJlMrF+/HhcvXsTDDz9Myrx0KpOjflJHHQscDsehqjYiIsJjqUyuEBvtjehIAe4UqNr1/wwGMGSQPwL8/uB5pGd/lWHzrvw25dDR4HGZeOf1fkjo07bGc4qi0NjYaNdzplQqERgYaEewtCz+9wKz2Uy8Th31VjKZTLveSvrC6ePj43SwoVAoiBFCYWEh+Hw+cRHypOl7W7F48WKEhYW5pXL+I4A2TXc2q9RqtRCLxWS9vrGxESqVCn379sWIESPsZqmduZ90qLsl2aWmpmLDhg1ISUlxWc50tpbHYDDc8gzW6XQoLy+HSqVCfHw84uLiiNWfq2D61mBp6l9dXU16YI1Go52hv7e3t52lYF5eHp5++ml8/vnnJNLQVRuK7ePdxfw+/Zc6vLn9Vrs5YPvfB2Jgv/b7YreGHkOkFEVh64cF+Pm8rE29RDwuE/NmhuOxWREe2xedTuewqZvL5dqRqzNZfHeBTqdzKupQKBQQCoVOvWDdVfbp9XoUFxcT8mxubkZsbCwhz46YvnsKxcXFSEpKwpUrV6xmsb93mEwmh4Ml+sZisRzmVtJGFLZk0NDQQEzzg4ODkZKSgj59+oDFYnVJFix9u3btGr799lts374dPB6vXSk2tlmw7oAWyVVVVSE1NRWDBw9u9yzN1hjBcqZIL5kolUoiRARaKlZ3795FSkoKeDweMTf56KOPrEiyO1+TnIGiKGzZdQen0mvbRKY8LhPz/i8Si+fFdNq+9RgiBQCTicKWDwuQ/qvMrQ+Sy2Vi9l9C8cTcyE4XElEUBblcbmdJJpfLIZFI7Ai2qxreKYqCSqVyOqvU6/V2BEn/LhKJ2jUaNZvNqKqqIsRZVVWFsLAwQpyhoaHdSti1fv16vPvuu1i7di3WrVt3r3fH43CUMGMp7rJNmBGLxfD19SV+ze6IUWyVmjqdDgqFAmq1GiaTiZjMs9nsdse2uRK50BgzZgzy8vKwd+9eu5awrkJVVRXS09NRWVmJ+++/H8nJyWS90VnQuO29rVVfawYG9PVEJpNh5syZyMnJAYPBgFQqxfTp0xEXF2c3g+0J3Qu2MJkobNl1Gz9n1rnNAQ9PD8fTj0k79ZrTo4gUaCGGE2frsPfrcjQ0GaDTm2H5DphMgMNmIiKUh8WPRCJ1iP+921m0zMbq6ursZq8sFstOOdzeWCTLdgFHMwt6/crRrFIoFHrkAGtsbLTK6KRN32NjYxEdHX3P/WZ/j6DX7+iqgkwmQ0NDA+RyOYnmoo1HaPN2Oi/UMkHFtlWBbkvyFNkpFArk5uYiLy8PERERSElJQVxcXI+zVXQGOnjCERnW19ejsrISWq0WLBYLRqMRAoHA7chCT3xGarXaSv9RW1uLuro6CIVCuwE+vc7dnUFRFP57phaff1UMWYPejgNYTIDNZiIijI8n5sVg9AiJ8415CD2OSGmUVajx0b5inLvU2PIhMhgARYHJZGBymgSL50YjMKB7jrgoioJCobAj16amJvj7+9sd3EKhEFqt1mluJd0u4GhWKRaLO2XkSZu+0+Sp1+uJb21sbGyPMULvCtCJI+62Gjjqw6Mb1XU6HSE7urWAvmez2eBwOOByueDxeBAIBCQJyN1SJv1zZ1xMDQYDcnNzkZ2dDZVKhcGDB2PQoEHd8lhxlMrkLFlFp9M5JUf6XqvV4urVq6iqqsKIESOQkpJyTweXZrPZqnuBvvWU7gUAKK9U4197i5DxSz1MZoABgALAZgOTxwbjiXnSLkv86nFEKlcY8PqWPFzPU8BMUTA6CPfmcBhgAEgdGoB1K/p2SUJ6R0Ef2MXFxSgvL0dtbS3kcjk0Gg25UPL5fIhEIgQGBiI8PBwSiaRd7QLtgclkQkVFBSnX0qbvdLk2KCio249kXcHSHq09ZOfs+c6Crm3bDJhMppVohnZ7oS/WQqGQGKdLJBIEBASQwVNPm/FXVVUhKysLeXl5kEqlSElJgVTaueU3V6lMlvd6vZ4MRFz5a7cllammpgYZGRkoKSnBiBEjMGTIkG713Wm1Wjtyra2thUAg6DbdCwqlAW9suYmrN+StcgAApA4JwGsrO58DehSR1sl0eObFK2hs0sPg4MOzhZdXS4n3g7cHQeh975Vner3eaW6lXC6HQCBwqIL18vKCXC63Ejg1NDRALBbblYcdCUDaA4qi0NDQQIizuLgYfn5+hDijoqLuiZqP9uT0pFCFvtFG+55at6NvtEKTVkE7U8ECv6+EGXeg0+lw7do1ZGVlEZehpKQktxXwdF+lM1K0nE0aDAa3QidocuxMUq+trUVGRgaKi4sxfPhwDB06tFsRqiUsuxcslcMqlQqBgYEICgoihv7BwcEetxe0RL1Mh6dfuoKGRr1DArWFF4eB8FA+Pnh7EHyEnXe96jFEqlYbsXhFNqpqdTCZ3N9lDpuBPnE+2PVWItjszr0QWbYLOFqrpNsFHF0oxWJxm9R9RqORyOItbyaTyW7kGBQU5Na21Wq1VUan2Wy2Ktc6E0gtWbIE4eHhWL9+vdVnQSs0PTm7oxWania7trQktAZ6sOTo+5fL5fD29m5VBd3TZ/XtBUVRKC8vR3Z2Nm7duoWYmBjEx8dDIBDYlVMdpTKdPn0ajY2NeOmllxwSo1AotAueSEhIwPvvv+8wSrA17N+/H3v27MHJkyc7/L4tCXXYsGEYOnRou5diztqkxHQ2WutesB3gSySSDg8E1RoTnliRjcoabds4gMNAfKwQ77+VBE4nRKgBPYhIPz9YjL1fl6E9wa48LhOrn43H1HEhrp/sAs7aBejf2Wx2q72VnX2hVKlURFhAH+T19fUQiUSEVOnRo7e3N8rLy3H37l0UFhaioaEB27dvJ85FLBYLsbGxmDp1Kv7yl7+0qfRpMBjsWhJaI7y25CbeS+k+PViiv2/bWaVOp7P77i3Xq7tLT15XQ6/XO5w1OiNHLy8vEnpPB3FfuHAB//73v1FcXAyhUIjExESsX78eo0aN8miGryU6GiDvLurq6pCRkUHsKenkk4kTJ+LDDz90KxWmq4nUESiKQlNTk1VZuLq6GgqFosPdC3v+XYI9h0qgb0cSGI/LxKol8XhgQsc5wBF6xFltMlE4fKyiXSQKAFqdGQeOlLlNpFqttlXDbNt2AdqSzs/Pr9MW5SmKanMpk81mIygoCCKRCM3NzaiurkZhYSFZt7MEm80Gl8sFRVF47rnnkJSUBKPRiLt37+Kzzz5DdnY21q5dS9ZpaWJjMpmk8by1loSeBJPJ1KoKmsPhWJGjVCrF4MGD4efn1yWDpe4AiqKckqOjAGiKohyqUoOCguwep1OZKIpCcXExsrOz8c9//hPnzp3Dtm3bMHfuXHh5eeHEiRM4evRom52oOhpc3xkIDAwk2bzbtm2DWq1G//798e6772LDhg0k/am7g8FgkGshHZQBWHcvVFdX4/bt26ipqQGbzbYb4EskErvBsslE4fDRinaRKNDCAfuPlP2xifTXLJlb9fDWUFWjxe18JfrE+YCiKCiVSqezSqPRaFV2CwkJwX333Ud6K1ubEVm2E3iy6dxgMLg9g+NwOKSESIuYaPEKm80mpdqwsDBoNBqr8ozZbIZOpwOXy0VUVBRGjBiBcePGYfLkydi+fTu2bdsGPp+PkpISpKen4z//+Q/27dtHQojvu+8+bN26FdOmTQPQctEKCQnByZMnMXjwYFy4cAGrVq1CXl4eoqOjsWPHjjaX1jwBRypo+meVSgUfHx+rykJkZCT5vSf237kDiqKg0+kcGgA4UqsyGAyH5EjPNCxbOry8vNo8wKD7IP39/bFw4UKsWbMGKpUKBw4cQHJyMiZPnozp06eT5+v1ejz22GP49ttvERUVhT179pAklJiYGCxduhT79+/H7du30dzcjLi4OBIQ/ttvv+HZZ5/FnTt3wOfz8eijj2L79u0kk5aeEZ46dQq3b9/GJ598gnPnzgFwHnIPABs2bEBeXh54PJ7D/XKEyZMnQywWIzMzE97e3jh//jy0Wi14PB4+//xzki4TGBiIl19+mWSO2qKyshLLly9HRkYGhEIhVq5cieeff75N34Gn4OXlRUz9adh2L9y5cweZmZmke8GyPFxcwYPe0DGf3Zo6LW7dVaJvvOdV4j2CSH/OrINa07E8Op3OhA8/OYv4yFI0NTWBx+NBJBIRA2uJRIKoqChwuVwwmUyrpHelUgmZTObWWp67KQn0vY+Pj0dbEgwGA0pLS1FQUIDr16+jqakJUqkU9913H6ZNm+awTyw2Npb8vGnTJowbNw59+/ZFdXU1cnJyUFNTA19fX2zevBlVVVW4ePEi9uzZg6+//hpMJtOqnDZ37lwcPHiQEOl///tfSCQSDB48GBUVFfjLX/6CvXv3YsqUKfj555/x17/+Fbdu3WqTcbg7oE9SZwkjZrPZqqoQFhaGhIQEooLuic4vjkBRFLRardutHCwWy6EBQGhoqN26Y1eJY3799VdotVq8+uqrYDKZKCgoQHZ2Nn766Sf079+fkNLRo0fxzTff4PPPP8drr72GZcuW4cKFC2Q7Bw8exA8//GCXhQu0kOELL7yABQsWQKVSITc3FwAcBsjTiSo0nIXc09UpV/vlCBKJBGPGjME///lPSKVS7Ny5E0OGDIFYLMb333+P2NhYZGRkYOrUqRgyZAjJO6VhNpsxffp0zJgxAwcPHkR5eTkmTJiAPn363DOTClswGAyIRCKIRCISPAG0XMMse+/z8/PxY4Y31JqOXSN0ejMyLtT/cYlU1qjv8DYoMFBbr0GIWEncRQwGAxQKRavJB/RjdDnTlZCFzWZ3aWmPoijU1NQQgVB5eTmCg4MRGxuLv/zlLwgPD29ziVUkEiEhIcHK1P/AgQMIDQ1FU1MThg4disbGRrz33nsQCAQoKiqC0WjEjRs3MGXKFGzduhVqtRoCgQAHDhzAvHnzAAD79u3DAw88QALLJ06ciJSUFBw/fhyPP/54m9+7wWBwqoJuamoCn8+3mlX27t2b/O5J0/SuBm067k4rR3NzM9hstsMex/DwcDty7CzT8Y5AJpNZkV98fDzi4+Mhl8tx+fJl7N27F1euXEFSUhImTZoEFouFBQsW2JVDn3/+eaf5nBwOB/n5+SR0fvjw4W7vn6uQ+5EjR5Jj3tF+2WLw4MFgMplQKpWIj4/Hvn37wOfzkZmZibt370IsFiMsLAxpaWmYNGkSMjMz7Yj00qVLqKurw+uvvw6gZbD81FNP4auvvuo2ROoMHA4HYWFhJObQZDIh+/Y1lNcqXPxn66AoQNbQcS5xhB5BpJ7SQ/Xtex+ef3aaVUtCT4RCoSBGCIWFheDxeOjVqxeGDBmC2bNnd8o6bVVVFWJjY1FXV4fw8HA8+eSTpEXm7NmzAIDc3FxUV1dDJBJhxYoVmDhxIr777jv88MMP0Gg0KCkpweHDh3Hs2DGyXYPB4DQrlaIoqNVqp2uVarXaTgVtmzDTU2CZyOGqpEqbjjsiRzqRw/LxnvQ5OIKjIHigZcA3duxYjB49GoWFhaivr8e7776LxMREBAYGEg9a+n9aC7n+9NNP8frrr6Nv376QSqV44403SFXFFVyF3NuGcNvuly0uX76MuLg4GAwGfPDBBxg1ahTy8vIwY8YMHDp0CEuWLEFZWRmxbxwwYIDdNkpKSlBZWWklUjKZTJ2WbGTZltbW5azWTEdo45HikkQAfh7Zz85AjyBSf3HHS0gMBhASLOyRCS16fYvpO52WolKpIJVK0atXL4wfP94tRV9HcOnSJVRUVGDkyJG4ePEiGYAwGAwEBARALBYjIiICc+bMIfv7008/4c6dO4iIiEBhYSF+/fVX0oS+bt06IiwQi8VQKpUoKChwqIK1TZiJiopCYmKiy4SZ7gCz2ewwrsrRvVqthpeXl0NPVX9//26byNEVGDFiBHg8Hr777jvMmjXL7u8sFguBgYGQSqV44oknkJ2djUOHDgEA8vLySGWltYFzfHw8Dh48CLPZjG+++QazZs2CTCZzOdh2FXLfEXA4HDz55JNYsWIFcnNzMWDAACxcuBBffvklRo8ejQsXLmDt2rUoKiqCWm0dMRkZGQmpVIq7d+9aPW4pWvR0H7ajtjRLO0r69c1mM0wmEzEf0el00Ol0MJvN4PP54PP5xL6UXnprMgINOR2bTTIA+Pt3znJEjzgbx6QG4teshg6tk3K9mEgdGuDBveo8tGb6/tBDDyEkJKRLCEShUCAjIwMvvPAC5s+f73Dk6wjz58/HG2+8AY1Gg2effRaPPvooGhoaMGDAACxYsADHjh1DeHg4VCoVSktLIZFIEBoaSlyb4uLiEBIS0qaEma4CncjhDjnSuaqO+holEond47+XdVlPQyQS4e9//zuee+45sNlsTJo0CRwOBz/99BPOnDmDLVu2kOf6+/tj4sSJkEql2Lx5M3777TecOnWKrBM7w759+zB58mQEBgaSgSlN0LYB8pZwFXLfXtBr27t37wafz4dQKERhYSF0Oh3UajWqqqpIz3d0dDTeffddyGQyaDQaHDp0CFqtFgaDAf/3f/+H1NRUmM1mlJeXQ6vVIjIy0u22NC6Xa6XjoEVjtrF1tAuX5Rp8fX09TCaT23Fttn2+ltBTdbhx+3aHOIDHY2JkJ3FAjyDSUcMC8DazY2VYSQAX/Xp3P09PGk1NTYQ4i4qKIBQKERsbi9TU1C43fZ8+fToZSfbr1w+rVq3CkiVLWv0fnU6HkpISUnaNi4vD+fPnMWbMGGzbto2ooDds2IA9e/agsLAQbDYbKSkpWLp0KdhsNuk7u3nzJjgcjl3PmSNZvCdAr5m7auWwTORwp5VDIBD8SY4ewqpVqxAcHIyNGzfi0UcfhY+PD5KTk52m9dAz9oULF6KhoQFbtmzB999/D7VajZSUFPTq1cvq+SdOnMCqVaugVqsRHR2Nr776iiyR2AbIW2LSpEmYNGkSevfuDYFAgKeeegphYWGorKzEzZs3UV1dDZlMhvPnzxMhIAB89913DkuhANCvXz8AAJPJJKHlZ86cAYfDwaOPPorly5fDaDRi6NChGD58OPz9/TF06FCcOnUKRqMRZrMZgwYNwqFDh7Bp0yZs2bIFer0e8fHx2LhxIyZNmmT1HuhWJmdxbbbnhLNWpsDAQMTExFiRJN3K1FGkDpOAxbrToW34i72Q0Me3w/viCD3GkOGjvUX46tsy6A3ta8Zd8XQcpk0K7YQ9ax+0Wq1VRqdOpyNtKbGxsfD17ZwvvL3oyoSZ1kz9AwICHBpL2G7fWSKHI3LUarVk1N+a8bgnEzn+RNeCHizl5uYiJycHarUavXv3RkxMDFgsVpe1pbnruEV7L7cVcrkcmZmZyMvLw8CBA9G/f38rA/7WWpnciWuj1dr3Ql/yyf4i7D9SBkM7OWD5k70wY0pYJ+xZDyJShcqAx5dlob5Bj7bsMZvNQHSEAB+9Mxhcr3t3ATSbzVam7zU1NYiIiCDetcHBwfdc/KTRaJz2Vt6LhBlbaLValJaWoqKiAtXV1WQ9FQC4XC5YLJZVH29rFwPLezp380/ce5hMJrdcs9pqMUm7JVm2kul0Omg0GjKbon2t3bGTbGtbmifgrJXJ2T1FUWT2GBwcDJFI5LCk2pWtTB2BQmXAwuXZqG/QwdyGllI2m4GocAE+3t55HNBjiBQAKqo1eObFK1CqjG55LXI4DAT6c/HRO4MhFnWtcpFWtNLq2uLiYojFYuJdGxUV1eVqSrPZ7LS3srGxEWaz2YooLX/urIQZy0QOV2pVR+QoEAjA4XBgMBig1WpJiLlcLoefn59defiP4jzU2bAsS3qK7GjHLVcE5q53sjttaVqtFtevX0dWVhZMJhOSk5ORmJjYZaJEmhwdHf+OzgNnrUyO1h05HA4UCgXOnTuH69evIykpCampqRAKhV3y3joDlf+fAxTucgCbAYk/Fx9tHwQ/UecNFnoUkQJAfYMOL7+Zi5IyNfQGs8ORCYsFsFlMDOwnwpuv9Ouy5BeNRkOUtQUFBTCbzWTGKZVKu+QApk3T25ow4+/v7zHTdEeJHM7I0WAwuFVSbWsihyNT/+rqalAURUrDwcHBCAkJQWBgYI9vEXGEjrQkuPobALdma+6WMunbvWpLo03zs7KycPv2bfTp0wcpKSmIiIho8/5YtjK5M3vkcDhulVQ70sqkUChw/vx5XLt2DYmJiUhNTe2WObDuQNaox8t/v45iNzig/32+2PhKQqcmvwA9kEhp3M5X4tMDxbiQ3fC/BymAwWRg/KhALJwTjaiIzh1VmkwmlJWVkXJtfX09oqOjCXlKJBKPXxS6MmHGEpZiBFf3JpPJ7biq1pR6nQGVSmW39iqTyYipv+VNJBJ1yb61lpTT1tldT0rK6a5Qq9XIyclBdnY2EcQNGDAAJpOpza1M7pwHXdnKpFQqcf78eVy9erXHE+qdghYO+DXLngPGjZRg4ZwYREd2TWWhRxLpuYv1+PxgCYrL1DAYzDBbvAMWC2AxmUjo44PF82IwaIDneiwpikJ9fT0hzpKSEkgkEkKcERERHjkpuiphRq/Xu1VSotdb3C0peUqp11UwmUxWs1c6scJgMNjF0fn5tTSFezIarq1JOW0hwD9Vw85BtzI5W1qglwmUSiVMJhNYLBZ8fHwgFotdtnJ0989dqVTil19+QU5ODgYOHIjU1NRuJ3BsDed+q8cXB0tQVOqEA1hM9Ovtg8VzozF4YMeNHFyhRxGp2Uzh/c8K8J8TVdDqXK82c7lMPDU/Bo885NzRxBWam5utyrVMJtOqXNvetZS2JsxYEqcz5yJHiRytrbfQQgRXJaV7qdRrD+jPoa3hAbZ/p8Uo9N/oU4XBYIDNZpM+O4FAAIFAYBcK3pbZ3p9iJ8+AVue6s7TQWiuT7fFvMplw7do1XL58Gd7e3khJSUFCQkKPEOm0BpVKhfPnzyMnJwcDBgzAyJEjuzWhUhSFDz4vxLfHK93mgCfnxWDu/7WfA9xBjyLSnZ/ku02iNLhcJpY8JsXsByPcej7d60WTZ2NjI2JiYgh5+vv7u0UobU2YsSRMS9N0OpHDVZbj1/+vvTMPi6pu//9rFmDYdxVQFk1xyw3U1BRzxyUtc99S80lNLbVyS3PX1NTcsrRypSfsq6aSuymaKxguCYorOwgKss4wy+8PfnMehnUAKajzui4u5cyZM4cz55z3+dyf+77fP/9MQkICgwcPNjqkVF5xfFnGxkU55bi6unLq1ClcXFzKNY+nUuW1FitvSUJpSS6Q1/u1YHg4JyfHwMhY//NPdYr5KymulKlg1OT777/H0tKSfv36GXX+l6eUSavVcv/+fUJDQ4mOjubVV1/Fx8eHGjVqFLn+jh07DJxiqioZGRlcvHiRP/74g6ZNmxIXF8e+ffteinn5y2Tz9w+MFlE9CjMp/xntxWAjNaA8VBshvXgthQVf3CnTAdRjZiZly8oWeL9SeC5A3/RdP+LM3/S9bt26uLm5FRumyc3NLba2Uu8wU9xcpUwmM+rmkJmZiUwmY+HChYLoqVQqg3mqFStWEBsbS3R0NAEBAWU+PgV59913JqBbjwAAIABJREFUCQgIEIS2QYMGrFy5krZt21Y4SzMtLY39+/cTERGBSqXC2tqatm3b0rNnT0xNTZk0aRJr1qyhTp065c7S1Jck/FWmzJCXaJZfWJOSkkhKShJsxfL/2Nvb/2NHoJ07d2bkyJG89957Ja5XVG1jcQlpSqUSCwuLUrvjzJgxA09PT5YtW2bUvqpUKlauXMnevXuJiYnBzs6OZs2aMX369EJNC4oiNTWV69ev88cff+Dg4ICvry+NGjUyONcqS0jPVpKJd2ZmpiCojRs3pmPHjkKuQGRkJK+88kqlfn5JXApJYf7K8mvA5hUtKsX5BapJZyOAHf99Uq4DCJCbqyVgfzSLPs3rGKLv7aofdZqZmVG3bt1CTd/12XdFJfU8e/aMrKwsbG1tBYG0tLTE0dFRSLXPP5KMi4vj3r17Bo4cRT0h53fkyJ+pN2fOHOHv8fT0FHwU9eiFVh+KLGuWZv7lERER+Pn50b17d3JycggNDaV///4sXrwYMzOzUkd2xTnlmJqa8tFHH1GnTh2CgoJwdHQkMjKS27dvCz1UJ02aRP/+/YULtryo1eoKvb+smJub4+npiaenp7BMq9Xy/PlzQVxv3rxJYmIimZmZ1KhRo9AItqq1Qywr+ibjz58/5969eyVmaxdVymRpaYmtrS2urq6FOkQZEzkpa03nO++8Q2xsLLt27aJly5YAnDlzhqCgIKOE1M7Oji5duuDn58fdu3e5du0ax44do0WLFvj4+ODg4GD0vlQVLC0t6d69O+3bt+fSpUt88803Qqelv5udP0WVWwNUKi17/y+KJbOblL5yOagWQhoVk8X9x8X3ySwNrRaCLz3lwMFjxMf9r+l73bp16dy5MxKJRBDH8+fPGwgmgLW1tdDuSi+AFhYWQiarfkRrampaSAQtLS1xcHAwuCmYm5uj1WqLFbusrCxSU1OLDWVmZGQQFBRERESE8Nq5c+d4+vQpHTp04M6dO9jb2zN27FgaNGiAiYkJGRkZ7Nixgzt37mBhYcGgQYMYPnx4kWJ3+vRpateuzZQpUzA1NUWpVGJlZcXw4cNxdXUt9JR94sQJpk6dSkJCAiNGjODPP/9k1KhRRY5Kbt68ydKlS4VQWMOGDWnYsKHBOqdOncLf35/k5GSGDx/Opk2bkEgkaLVali9fzrZt28jOzqZXr15s3LgRW1tbYfS5fft2Fi1ahKenJ48fPwYMTZnbtWtX7vOorEilUhwdHXF0dDS4GeXk5BiYqd++fZukpCQUCkWh0aujo+PfOnotqpSpuH9zc3NJSEjg1q1buLq6cvHiRQ4ePEh6ejqtWrVi5cqV1K1bF0tLS+bNm8fGjRtRKpV4eHgQEBBA06ZNUSqVzJs3j8DAQJRKJW+99Rbr1q3D3NxcGAVNnjyZtWvXYmVlxbJlyxgxYoSwv8+fP6dPnz4EBwfTuHFjAgICCrUDhLxz7OTJk0RGRlK79v9Cfr169aJXr17C7+Hh4UyaNImwsDDc3NxYsWIFb775JpAXuSloct++fXtGjx7NH3/8gZubGz169DBoYH/x4kU+/PBD7t27R4MGDfjqq69o3749kDea79ixI2fOnOHmzZu0a9eOgIAAnJycyvSdlXQM/fz8mDZtGgMHDuTChQt07NiRoKAgevfuzalTp/j4448JCwtj3759bN++nRMnTgiWck2bNkUul7N582YmTpwo3BcA7t27J9ieVQbRcVnce5hR7vfrdPD71WekvcjF1ubll7pVCyE9dDwejaZi7uharZbrtzW0a+WJUqkU7L9+/fVXg6JtMCw2NzMzE7qtSKVSoZxA34w8f4mL/n16R4P09PQixbCokoTiRnf6ptH5lykUCtq2bUvXrl2FZZmZmaxatYr9+/fTs2dPPvvsM86cOcPy5cvRarW0bt2a/v37c+7cOcHkt0+fPkV6EyoUChQKBRYWFmg0Gnbv3o2Xlxc1a9YstG5ycjLvvPMOO3bs4M0332Tz5s1s27aNUaNGFfk9vPbaa8ybN4/nz5/z+uuvU79+/ULrHDlyhGvXrvHixQt8fHzo168fvXr1YseOHezYsYPffvuNGjVqMHr0aKZMmcLu3buF9547d47w8HCkUimJiYmFTJmrAgqFAnd3d9zd3YVlOp2O1NRUEhISSExM5M6dO/z222+8ePECZ2fnQgJbkYYBpZUy5Q+5Fixlyu9I4+7uXqiU6fTp03Tq1AkXFxd++uknTpw4QZMmTfj444/59NNPCQ4O5vjx45w/f5579+5ha2tLRESE8LAza9YsHj58SFhYGCYmJgwfPpzFixezYsUKABISEkhOTiY2NpbLly/Tu3dvfH198fb2BvLMu48dO0arVq0YM2YM8+bN47///W+hY3Dq1Cnatm1rIKIFyc3NpV+/fowbN44TJ05w4cIF+vfvT0hIiPB5AQEB/Prrrxw5cgSVSsW7775LnTp1OHbsGKdOneK9997Dzs6O3377DS8vL/r06cOGDRsYNmwY+/bto0+fPty/fx9HR0dhe0ePHqVOnTr4+/uzZs0aVq5cWabvt6Rj6Ofnx9mzZxk4cCDBwcHUrVuXc+fO0bt3b4KDg/Hz8zPYloWFBTdv3kQikbBt2zbi4+Oxt7cnMDCQSZMm/WWh3cPH4tFqKzYLKZHAyXNJvNPP7SXt1f+oOneXEngcnYWm/E3/AdBopTx4lIpccx+pVIpMJkMmkwlF/lqtFqVSKdj7qNVqwf5HnxQjkUgEGyCdTldI+P6qkgS5XI6TkxPOzv9zjJdKpcUaCJfH5HfNmjVs2rSJnJwcIM+vsaj9/vXXX2nSpAlvv/02kGeevGbNmmL3fePGjaxbt45Nmzbxn//8Bw8PDzZu3Ii/v7+wzuzZs7Gzs8POzo433niDsLAwevXqxd69e5kxYwZ169YFYMWKFTRt2pQffvhBeO/ChQuxtLQs/SBWMSQSiTCX3qhRI2G5SqUyGL2Gh4eTmJiIqampQWMJR0dHTE1Ni+2Sk///ekeOguLo5OSEp6enQVSlvKVMe/fuZdy4cYLh9IoVK7C3t+fx48eYmJiQnp5OREQEbdq0Ef5enU7Htm3buHnzphAWnTt3LsOHDxeEFGDJkiWYmZnh5+dHnz59CAwMZP78+QC8/fbbtGnTBoARI0YwY8aMIvcvOTnZwCf02bNn1K1bV0juy8nJ4fLly2RkZDB79mykUildunShb9++/PjjjyxcuBCA/v3706FDByAvtPx///d/3Lp1C1tbWwYOHEhoaCinT58mOzub2bNn4+joyGuvvYZUKmXYsGFs2LCBw4cP8+677wIIUSSAwYMHc+jQoTId99KOoZ+fH9OnTwcgODiYOXPmsH37diDvIfTDDz8sdtvt2rXDzc2NS5cu8dNPP5GTk8OzZ8/+khD245gs1OqKCalSpSUqNqv0FctBtRDSrOyXM99lZ1+LN96og0KhMCpxpbolhBRnIFwek9+PP/6YpUuXotPp+PPPP+nRowcODg4GggcQFxdnYJgskUhKfMo3Nzdn7ty5zJ07lxcvXrBy5UoGDRpEVFSUcEEW/DsyMjKEz/Lw8BBe8/DwQK1Wk5iYKCwryby5OpG/lEnv0+js7Iy5uTlOTk5CkltMTAxKpVIIH5qYmGBubo61tTUODg44OzsL4dSX7chREnFxcYKIAlhZWeHo6EhsbCxdunRhypQpfPDBB0RFRfHWW2+xZs0acnJyyMrKwsfHx+A4aPI9RetzEfR4eHgQFxcn/F7cuVMQ/fy8HgcHB1JTU7l//74QJdGf2/nvAx4eHsTGxgq/5z/fnj59ilqtNljm4eGBiYkJvXv3JiwsjOTkZCES1qpVK9zc3Ay2Z+z+F8fTp09LPIbt2rXj3r17JCYmEhYWxqFDh/j8889JTk7m6tWrdOrUqcTtm5ub06VLF3Jzc9m/fz/bt2/H29ubjh07liqoZS1L01vGZWVl8fChA1Dx5gqZWZWTO1EthPRltXdq1MiTTp0Kz5f80ynO5NcYJBIJTZs2pUOHDgQFBRUSUhcXF4Pwjr7VmjHY2Ngwd+5cVqxYwaNHj0q9EF1dXXny5Inwe1RUFHK5nJo1awqfmV8gqlrda0mlTEVla0skkiIT0mrVqsUrr7xSqJRJrVYbjF6TkpKIjIxEJpMVaUlXmeHugt9VZmYmKSkpuLnlhdWmTZvGtGnTSEpKYvDgwaxevZpFixZhbm7On3/+KaxXEL2Bgl5Mo6KiaNq0aZn3r2vXrmzcuJGYmJhiH/xcXV2Jjo5Gq9UKYhoVFWXgS5r/HHN2dkYulxMdHS3M++tt0yDvOnzx4gUTJkwgLi6OkJAQrl27Rs2aNXn06FGZ/4aicHJyKvEYWlhY4OPjw1dffUXTpk0xNTWlffv2rF27VujGpo/AaTQaUlJShJaQT548EYTu0aNHSCQSWrZsSVRUFFu2bBFq36Fww5L8ZWn6qJy+6iB/pE+r1QpepxqNBhMTExQKBXL5y6lttbGqnFag1UJIG75izbU/UlHlln+e1Fwh5RWv6hfyexm0adMGGxsbvvjiC6ZNm4apqSnh4eFkZ2fTunXrUt8fERHBhQsXhNBwfvr06cOUKVM4ePAgffv2ZevWrSQkJBS7rSVLltCrVy+aN2+OVqvlq6++ws7OTphzKolhw4bxxRdf4O/vj7OzM3PnzmXIkCHFCkJppswvg4KOHKWVcshksiLF0cXFpVCiWlmL/U1MTHBzczO4gerrmfXiev/+fX7//XeeP3+Og4NDob7DZbW8K47hw4czdOhQhg8fTqNGjZg7dy5t27bF09OTa9euodVqadWqFZaWeYbOMpkMqVTKhAkTmD59Ops2baJGjRrExsZy+/ZtgymIzz//nOXLl3PlyhWOHDnCokWLyrx/PXr04I033mDAgAFs3ryZli1bIpFIuHz5srBO27ZtsbS0ZNWqVcycOZPff/+dw4cPc+3atSK3KZPJePvtt1m4cCHff/89jx8/ZufOnUImd+/evZk6dSoBAQEMHjyY7Oxs0tLS6N+/P0ePHhXcobKzs43O4M6flKjPvxg0aBDjx4/nk08+wcrKSqgYaN68OSqVipo1a7J+/Xr8/f3Zvn07UqmUtWvX0qpVK5YtWyY0n0hISCAgIAATExNsbGw4ceIEPj4+Qj11WloaSqUSb29vvLy8iI6OJjo6Gjs7O8HNSh8m13eQ0uedFJWxXbAJhrm5ufAAs/OnJ+wMfIJKVf7wrrlCRv26ldPvvFoIab+eLuzaF1X6iqXQpYNz6Sv9A5HJZBw+fJiZM2fi5eUlnPxLly4t9j2rVq1i/fr16HQ6HB0dGTt2LO+//36h9ZycnNi3bx/Tpk1jzJgxjBgxAl9f32IbEUgkEsaOHSuMJps1a0ZQUJBRDf3HjRtHXFwcnTp1Iicnh549e7Jx48Zi17ewsChkyqzPQCwJfdmTMdmqBR05iitlyu/I8VcikUiwsbHBxsbGILFLrVbz9OlTQWAvXbpEYmKi0NQ//09Zm/pLJBK6du3KkiVLGDhwIM+fP6d9+/ZC0s+LFy+YPn06Dx8+RKFQ0LNnTz7++GMAvvjiCxYvXsxrr71GcnIybm5uTJo0SRDSWrVqYW9vj6urKxYWFmzdurVQ1rex7N+/nxUrVjBy5EhiY2NxcHDg1VdfFcy7TU1NOXToEJMnT2bFihW4ubmxa9euEj9v06ZNjB07llq1atGwYUPGjh3LmTNnyM7ORi6Xs3v3bubNm8fEiRNxd3dnw4YNODk5YWNjg0KhICoqii+//BIbGxtu3brF06dP2blzZ6Gw5927d4mNjRVGgHpWrFhB586dOXToECNGjODFixc4OTkxYMAAOnXqhKmpKd27d+fAgQO88847dOzYkfr16xMYGMj777/P8OHDkcvlfP/998TExPD222+TkZHBBx98wDfffMPmzZuZMGECzZs3p1WrVgwZMgStVsunn36Kq6srderUITs7m7t37+Ls7EzTpk2FBzS9W1N5HtT69nBh509PSl+xBHQ6HV1erxwNqDYNGT5ZdIvLoc/K5EWqRy6X0L+XC9PfL5whKvJy0Wq11K5dm7179/LGG2/83bsjoNPpDPqqljRqzMzMNChlKqmnakUcOaoaekMEfeawPkyckpIijDLy/9jY2BS6KbZq1YoFCxYwYMCAl75/ldkEoKBTTkWajhR8DYp2yikuUREgMTGRJ0+eYGJigre3N97e3kKUQv9TVuMAfemcMdeAWq0udtRY8BooypVJqVRy9epVLl++TN26denUqZNBcmR5mLXkNhevpZRPA2TQr6crMydVjgZUixEpwNhhHly/lYqyHAW5crmEwf0rrz3Uv53jx4/Ttm1bzM3NWb16NTqdzqiRX0XRarWF7KqKuzFkZWUJIaWiSjkKjiarUrnMX4V+TvaVV14xaIhRsKn/1atXSUxMRK1WG4SGU1NTCQ8PF5obVBaltYgsrzWc3jjAGLecosrSikteLG+Wvk6n49GjR4SGhhIYGEjjxo3x9fU1SBosqpSpuGtAn61d8BpwdHQUSpn0yyvqymRmZkbHjh1p06YNV69eZceOHXh5edGpU6di2ymWxrtD3AkJe45SVQ4NMJEydIDYIhDIqyf96tv7ZTqQZqZSls5pTDtfx0rcs383CxcuZOPGjahUKho3bsyGDRto27Ztubald+QwpgFAdna2UM9rjJdjVXfkqG7om5EkJiayevVqzpw5w+uvv07Pnj2FhCZ972hzc3OjBbA4sYuIiCAwMJBPP/20TP2Ty2IN93ejz2wtyoUmKiqKpKQkJBIJJiYmwmjXWMvCv9OVSaVSCSNUT0/Pcgtq0Ml41n5zv0wDKjMzKUtmNaZ968rTgGolpABBp+JZu/U+6lwtJfVokMslmMglLJ4liujfjd6Rw5hs1ZycnCIdOYr618LCokrc/Koz+Y0DyttSsmDJgj5DM39GJiA0MtH3zbW2tsbc3Nyo/sn5l1W3srT8pUzGXAMSiaTYkKqFhQWpqalERkaSmJhIs2bN8PX1rXDY9K9CpVJx7do1Ll26hIeHB506dSqy0UtJHDuTwOotkUZpgFwmYcnsyteAaiekAI+jM/nvgRhOnksCMBihKsykSKQS3uzhwqA33ahVo2jLMZGKUdCRo6Q5l5ycHMzNzYu1qyoojtXtRvlXUFJLyfKGMvOXJJTFEMCY0V1BwcvKyjIozUlMTOTp06dCOU/+vsPGOiz9nRRVylTSNSCVSkvMUi1oWWgM+ZvmOzo64uPjU6hpflVFpVIREhLCpUuXqFOnDp06dTKooS2NJ9FZ/PdgNCfOFq8B/brXYtCbtXGpWfkaUC2FVKnS8tuFp+ze94TYhBxAh06X1wJKp5NQ38uSUYM96NDGEbmsal+QVQm1Wm20l2NBR46SbhD/JnHM3ybS2EQVY9bXarVGC54xYpdf8P4u0dJqtTx79qyQJV1WVlaRlnTF+fC+LPSlTKVZFuZ3ZSqLZWFlodFouHv3LiEhISQlJdG8efNq0zQ/NzeXkJAQLl68SO3atfHz8zNKUJUqLWd/f8quwKI14BUvS0YPcqdDW6e/RAOqnZBG3E9nxoKb5ObqyM4pvm+ghbkMays5G5Y1x82lertqVAS1Wm10AwCVqrAjR3H/ljeNvSqgz9As6+jOGPHTarVGz8+VZS5P7yj0b0Df1D9/9nBSUhLm5uaFxNXBwaHEhzR9KZMx10BWVlaxrkxFZatWxWztlJQUQkNDuXHjBi4uLvj4+ODt7V3lH2Rzc3MJDQ3l999/x83NDT8/P1xcXIpc996DdKYvuIVKpS1RA8zNZVhb5mlAbdfK1YBqJaS3wtOYPv+m0VY6EkmeoG77shXutSveXqqqkN+RoyJp7AVvEEWlsf+dFFWSUNbRXXHrAuUSu9IEsKwlCSLGodPpBEu6hIQE4uPjBUs6vTuTPmFIn82tvx5MTU2LFceC10B1CIsag1qt5s6dO4SEhJCamkrLli3x8fHBxubldAiqLHJzc7l+/Tq///47Li4u+Pn5GbjK3I54wfT5N8jOKZsGfLOmJZ51Kq8hT7UR0oSkHMZMDSEzq2zd6yUSsLczYc+W1pXWHqokFi5cyP3799mzZ0+J65U1jd2YkKrekaO0G3tR/qZlQafToVarSxW7ZcuW4eDgwNChQ0sVvICAAKysrOjevXu55u5KE8DY2FgaN25MWlqamLBUBdBnaxtzDeQvZbKwsEAulwtJU9nZ2aSnp2NqaoqzszMuLi64uLiQm5tLp06dqsX3PXHiRNzc3Jg/fz5nC9TOludaTUxMJDQ0lFu3buHh4YGvry/16tVDIpEYbcT+V6NWq4URaq1atfDz80Nm4lh+DbD9/xpg/S9uEQiwK/AJOSUM44tDp4OMTA2HjsUz8h330t9QRvJ35NFf4PoLddOmTcKTcXh4eImlHDqdrsgnZmdnZzw9PbGysmLWrFns379f6Brk4eFBv379mD17Nra2tkYcC12R4Uh9Y/sbN26UWpYwatQoFi1ahJ2dHSqVijNnznD+/HnGjh1LnTp1ShSw999/X1hWnPm3/vewsDDq1KnDZ599VuTfIpFIiIyMLNYAfMeOHYwfP15oM+bl5cWyZcvo27cvAO7u7mVuCC5SNvTZ2sZMK2RnZ6NQKFi5ciVpaWls27YNFxcXrKysqFGjBsOGDSMiIoKbN2/SuHHjEsVQp9ORlpYmjF4jIiJITEwUnE4Khocr6hak0+nYuHEj3377LY8ePcLe3p527dqxYMECXn311RLfW9DbF2Dr1q0V2p+C1KxZk969e9OtWzdu374tmJf7+PgYGAJUJeRyOW3btsXHx4fr168TGBhIRFQDcnLK3uJPp4PMLA0Hj8YxerBH6W8oB9VCSLOyNRz/LanEVOeSUKm0/HQwhuFv10EqLX/Yrag09jNnzgg3hXHjxjF69GjhJh0XF8eNGzdITU3lxo0bgjjWqFGj0JyLqampMHLMX5JQcLQ2duxYJk2aREZGBhEREWzevJkff/yRNWvWIJVKSxXC/CFLvY2cUqnk4cOH2NvbGwibpaVloWUA3bp1w9vbm/Xr13Pz5k2uXbtW7jZtxaHvvVoR2rVrx4ULF9BqtWzbto2hQ4cSExNjUNAuUjY0Go1Q51vatII+W7uoB8SC14ClpSVSqZTNmzfj5ORERkaGYLB969YttNq8i9/a2rrUEaVEIhFs+Ly9vVGr1cjlclQqlUFbxLt375KYmIhMJiuUOezs7Gz0yPXDDz8kKCiIbdu20aFDBzQaDQcOHCAoKKhUIf2rUKvVmJqa0qpVK1q1aiU0zY+NjSU0NJRu3brh4eFR5aYl5HJ5ntVe4+a8OfpyuTVAqdISeCiWEQPdkVVC8lG1ENKTZxORVHCuXKnScuX6s0L1RCU5chR1g9B3f9GXapibm6NQKLC2tkYul+Pl5UX79u2RyWRCZxKVSsX333/PhQsXcHJy4oMPPsDDwwOVKs9rcu/evURGRmJqmufE0Lp16yJHa0+fPgXg0aNHmJiY4O7uzrJlyxg9ejRXrlxh5MiRJCQksHDhQiIiIoSep+vWraNGjRqYmJjg5eXFpEmT2LVrF3fv3iUzM5MlS5bwxhtv0K1bNyIiIvD392fFihUMHTq0yGNZo0YN1q1bx549ewRzYPhfC7fp06fzxRdfIJPJWL58OWPHjgXg3XffpXbt2kKP31WrVrFu3TokEgmLFy9mwoQJBqPM58+f06dPH4KDg2ncuDEBAQHUq1dPsHpq3rw5EomE7777jiFDhhT73UulUkaNGsXEiROJjIykdevWPH78GC8vL3Jzc5HL5ezYsYPFixfz9OlTnJycWLp0KSNGjADg+++/Z/Xq1SQkJNCmTRu+/fZbPDw80Ol0zJgxg71796JUKvHw8CAgIKBcbiR/J/pSJmOaYCiVSqGUKb8IWltbG/RUrUgp06hRo9i1axdTp04FYOfOnYwePdogOhEUFMRnn33GgwcPsLW1Zfz48YJHqP673b59O4sWLcLT05Ndu3YJ37ebmxtxcXFMnDiRCxcuYGdnx7hx4/Dw8OD+/fvMmTOH6OhowdS6Vq1arF27lm7duhVq6h8ZGcnmzZu5dOmS4IMKCOcO5DV3nzp1KkePHsXCwoIJEyYwd+5c7t69y8SJE8nNzcXKygq5XE5qamqh66Q4rl69yocffkh4eDjm5uYMHDiQtWvXCg+8EomETZs2sX79etRqNY8ePeLkyZNMnTqV+Ph4Ro0ahZubGw4ODvz6669otVp8fX1p3ry50U3z/yrO/v4MuUxKbgWMS1QqLZdDn9GhzcuvKa0WQnr1j+fkGDm5XBxZ2Rr2/3Kd6IfPhQy97OxscnJyDFqDyeVyYTSkvwlotVrMzMyQy+Wo1WpycnJ48eJFoZIElUrF48ePsbOzE5ZlZmZy4cIFlixZwoIFC9i+fTt79+4lMDAQuVzOW2+9hb+/P8eOHePp06e8+eabTJkyRXgaz09wcDC1a9fmrbfeMljeu3dvoqKiaN68OZaWlixevJhOnTrx4sULBg4cyJo1awSTb4Aff/yRoKCgQlZa169fZ8CAAWzZskUIgRbF7NmzuXHjBsHBwbi7G4bLExISSEtLIzY2lpMnT/LOO+8wYMCAQs21jx07xtq1azl9+jReXl5FNsT/8ccfOXbsGK1atWLMmDHMmzeP//73vwQHByORSLhx40axod38aDQafvjhB0xMTAz8TPVkZmYybdo0rl27hre3N/Hx8Tx79gyAgwcPsnz5cg4fPkz9+vVZuXIlw4YN4+LFi5w4cYLg4GDu3buHra0tERERVWa0qy9lMkYcVSoVFhYWhebYbW1tcXV1NVie35GjsnjttdfYvXs34eHhNGjQgJ9++okLFy4YCKmlpSW7du2iSZMm3L59m+7du9OiRQuDHr/nzp0jPDwcqVRq4FkLeU5CTZo0IS4ujoiICLp37067du0YOHAIM7C2AAAemklEQVQgt27d4syZM2zfvp1GjRqxatUqPvnkE/7zn/8gkUiEtoi1atXi+PHj1K5d20BECzJ16lTS0tJ4+PAhKSkp9OjRAxcXF8aPH8/WrVsLhXaNRSaTsW7dOnx9fYmJicHf358tW7bw0UcfCescPHiQK1euYG5uTnJyMgMHDuT777+nf//+bNq0ia1btzJmzBjGjx9PdHQ0ISEhnD17loYNG+Lr64ubm1uVGKVe/eOZ0QlGxZGVreHGn6n/XiFNe5H7UrYTHfucmrZRgsjpjZIVCkW5is4LliR8+eWX9OrVyyARICwsjE6dOjFr1iwgz0DYx8eHhg0bcuXKFdLS0li1ahWQN5cxYcIEfvrppyKFtDhcXV0JDQ0FMOiT6uzszIwZMwrZTE2bNq2QAfb58+f57rvv2L17d6nN5k+cOMGYMWMKiSjkda9ZsGABcrmc3r17Y2Vlxd27dwv13g0MDGTs2LE0adIEyLPGKpiQ9fbbbws3qBEjRjBjxozSDoUBly9fxs7OTnBo2bNnT7FtyaRSKbdv38bd3V1IUAH45ptvmDNnDo0aNQJg7ty5LF++XGgonp6eTkRERF746f+vU1kULGUqKbSqL2UqKI52dnbUrl27kDhWhZtlfvSjUj8/Pxo2bFjIW7Nz587C/5s1a8awYcM4d+6cgZAuXLiwyPnP6OhoLly4wJEjR1AoFLRo0YL33nuP3bt307VrVwBef/11Ro4cCeSdmz4+PnzyySdkZGQIoeGHDx/y+++/o9Vq2bx5c6HwsI2NDVqtlp9++ok//vgDa2trrK2tmTlzJrt372b8+PEVOkb5zbs9PT15//33OXfunIGQzpkzR6gn3bdvH40bN+add94B4KOPPuLLL78E8kav7u7uuLu7k5mZSVhYGPv378fU1BRfX19effXVYh2dXhb5s/QLTlHFJ754KZ/xLPXlaElBqoWQmpi8rCfg/zUcqAxSU1PZtWsXv//+u7Ds7NmzPHv2TBCz58+fk5OTw4IFCwgPDycmJsag0Fyn0+Hu7l6kx2JYWBgPHz4s9NrRo0fRaDQsWrSIjIwMjh49SlRUFEqlEp1Oh7m5ufCe1NRUzp49S3R0tMF+f/nll3h4eBAcHExwcHCJf2e/fv3YsWMHt27dMhBdfch52bJlwjKVSsWWLVs4fvy4wf4HBwfj7e0t7Jdanedcv2HDBhwdHQkLC8PGxkZ4/dGjR8TFxRn87fp1i+KPP/7A1dWV8ePHo1QqOXToEF9++SXh4eHC9wCwePFiZDIZ/fr149NPP2XEiBG4u7vTo0cPnJ2dCQkJ4fTp03zwwQfCtjUaDYsXL8bd3Z169erx9ttvk5aWRsOGDenRo0elNw4wlvT0dNLT0//u3SgT+mvI0dGRH374gcOHD9OgQQMWL14MwPr167G3tycmJoZTp06RlJSERqNBrVbTpEkTFi1aJHy3O3bsEOY583/f8fHxKBQK1q5dK3zurVu3CA8PZ9GiRcVes59//nmheVOtVkt6ejrJyckkJycX+nv0I/69e/cKIdfIyEhu3brFokWL+OOPP4iKijI4r/NfJ48ePeLFixcG16/+HpOcnMzx48eJi4sTaphdXV0NtnXw4EHOnz8P5D0sp6enG7wukUg4dOgQsbGxxX4nQUFBBAUFlfi9VTZPk14FKj6SNH1pWmJItSh/WbnhLkGnEspln6NHLpMwfoQHowZVTtYWFJ2aXrD8Jf/c3LVr1xg9ejSRkZFGbb+ouZOMjAzq16/PvHnzmDJlCuPHjycrK4tNmzbh6OjIwYMHmTJlSonp856enqxbt44vvviCdu3asW7dumL3QZ8tq1Qq6dy5MzNnzmT27NlA0TZX+T8v//6PHTsWFxcXli9fDsD9+/epX7++MEda8G8tuG1jsnbzh8xSUlKoV68ev/32Gy1btiw0R6onOzubzz77jKtXr3L+/Hl69uzJ6NGjDea8iiIpKYnBgwfTsWNH5s+fb1RINTMzs0hHjuL+ragjR3Ug//nSuXNnrl+/Tnx8PGZmZpiYmPDo0SM8PT2pV68eU6ZMYdKkSSgUCj766COSk5PZs2dPkd9t/mXx8fF4enqSmpqKtbU1kBdpiIuLY8eOHSVeswXrTCMjI4Xokq+vr8FrGRkZxMfH07hxY2HuMjk5mdu3b3Pz5k22bNnCpUuXOHjwIJcuXRK+2/znfknlL127dqVly5Z8/vnnWFtbs379en7++WfhnJdIJNy5cwd3d3dUKhW7d+9mx44d/Pzzz6hUKpRKJT169GDcuHH06tWrxDpsvTm3SqUStm1mZoaZmVmFu2wVrMMuilWb7nH4RHyFNEAmkzBumAdjhrx8DagWI1L/rrU4dT6pQvOkUpmELh3LZ99TWbRp0wYbGxu++OILpk2bhqmpKeHh4WRnZ9O6desS36tUKrl9+zazZs3C3t5eSOhJT0/H1tYWOzs7YmNjWb16tVH7Ym1tzbFjx+jatSuzZ89m5cqVJa7fpEkTTp06RZcuXYQbWVkYPHgw48aNY9SoUXh4eAgjDmOpWbMmDx8+NGqOFMDR0ZH33nuPxYsXc+DAAYPXEhMTuXLlCl27dhUSafQX9MSJE5k/fz6NGzfGw8ODuLg4Tp48yeuvv05ISAhZWVnUqlVLKLe4ePEiq1evLrIBgLOzM15eXgbL/05HjqrOd999x/Pnz7G0tBQiFnrS09NxcHBAoVBw9epVAgIC6NGjh1HbrVOnDu3bt2fOnDmsWbOGe/fu8d1335Va610U9evXZ/LkyQwbNoxt27bRvn17tFotBw8e5PHjx8yePZshQ4Zw5swZdu3axdOnT+nZsycjRowgNzeXZ8+ece/ePZYtW0bNmjVxdHQkPj4emUxGREQET548ER66c3NzycnJISQkhJycHKKionB0dOTAgQNER0ezYcMGLC0tWbNmjdB0RF9GZGpqilKp5M6dO6xfv562bdty+vRpkpOTyc7ORqPRYG5uXmxZWv7prKioKK5fv05MTAwNGzbEx8en0pvm+3etyclziRWaJ5XJJHTrVDkaUC2EtFljG+xtTInPySn3NhrVt8atVtXKRJPJZBw+fJiZM2fi5eWFUqnE29u7xGy9VatW8dVXX6HVavH09KRv3778/PPPwlzQ559/zujRo7G1teWVV15h1KhRJY4w82NnZ8fJkyd54403MDExYcmSJSWu37x5c44fP0737t1RKBRlKoHx9/dn2rRpvPHGG0ilUubPn8/u3buNnodZuHAhY8aMITs7m2+//ZbBgweX+p6PPvqIevXqcfPmTWEkkpKSQlRUFEuWLGH48OEAeHl5MWbMGLZv305mZiYNGzbE39+f1NRULCwsaN68OfXr1ycrK4utW7cSGxuLQqGgS5cufPPNN9Wi6Xp1oF69esW+tmXLFmbOnMmUKVPw8/Nj8ODBpKamGr3tH3/8kYkTJ+Lq6oq9vT2LFi2ie/fuJb5Hq9UK7jb5R2vTpk3DysqK8ePHExsbi7W1NU2bNmXo0KEcOXKEHj168O233+Lm5oZcLqdDhw7Y2toSFhaGlZUVTk5OLF++HIlEwueff05ycjIqlYrAwEBhikY/x6rT6VAoFNSsWZPZs2ezbNkygoKCaNKkCSNGjODixYtCvfbcuXOZPHmywcNms2bNmDZtGjt37mTUqFG8/vrrNG3alC5duhh97Bo2bEjDhg1JTU0lNDSUnTt34uzsLDTNr4yGF00b2mBvZ0p2Qvk1wLueVaW1i60WoV2Ag0dj2fTdQ6PbA+ZHoZCy+NPK9aMTqRjh4eE0bdoUpVJZ7jZt+qbjxmarymQyo70cK7PpuMjLRe+UY2z/5IK11sW9pq/FfJktJfW/F/XgVVxT/+zsbGrUqCFkDuuziP+uuXmNRkNERAShoaEkJSXRokULfHx8CmXqV5RfjsWxcfuDcmvAwk8a8Xobp5e6T3qqjZCqNTpmzL/BrYgX5OYav8tmZlL82jkxf0ZDcZRQxThw4AB9+vQhMzOTMWPGIJVKOXjwoME6+R05Sms8rs/ONaanqpWVVZVsOv5vIn8f5ZcldsU55ZS1pWRR768qxgE5OTmFxDUpKQkLC4siLen+yob1ycnJhIaGcvPmTVxdXfHx8aFBgwYvZR/UGh0zFtzkdngaqrJogKmUTu2cWDCz8jSg2ggp5NUBzfz8JvceZBj4zxWHwkxKm5b2LJ7dRLRTq0LoHTn69u3LtWvXkEqltGjRgsmTJ6NQKAoJpYmJiVF9hauqI0d1pqSShPK44+T/XafTlWn0Vt6ytH8DOp3OYPSqd8/JzMzE2dm5UFvEym64kJuby507dwgNDSU1NVXoqFTRpvnZORpm6DXAiJGpwkyKbwt7ls5ujFxeeQ8U1UpIAdRqLVt3PuKXY3EARU4+W5jLkEph+NvujHynYm0BRYxD77hhTEg1KysLU9PCjhzF/ftPceSoTPTGAS9b7FQqFRKJ5KWLnT5D898meH81SqVSMFRPSEgQ/q+fZ80fHnZ0dKyU0WtiYiIhISHcvn0bT09PfHx8hKb55UGt1vLNrkccPFq6Bgx7uw6j3nGvdA2odkKqJzVNxZadjzh1LglVfnd0hYw3e7owYYQH5ubiDbgi6B05jPFyzM7OxszMzGgvx6ruwFFZ6I0DKmL8Xdy6+g5d5RG8kgTw3/pd/VPR6XSkpqYWCg+/ePECJyenQuHhijb116NSqbh165aQdezj40PLli3Lvf30TDW7DiQRdDyGzEwVWo0WmUyKja2CAX3qMLyfEwqzv+bcrXZCmpurZevuJxw5nYREQpElMRbmUkDC0DddGDmwtjgizUdBR46S5hv1jhzGeDlaWFj8o264xTnlvIzRnlwuN0rAymoNV9XNm0WqNvre3wXDwyYmJoVCw05OTuW+3nU6ndA0Pzw8nPr16+Pj42N003y1Rsexq2quRGiQACp14XVMTUACvP6qjK6t5EgrOfJRrYQ0K1vDx4vv8OBJltFzpK1etWXxxw0qNT7+d6NvOm5MtmpBR46S5h31jhxVmYJOOS8rcaWgU87LytI0MTGp8sdURESPTqfjxYsXhUavqampODo6FgoPW1palilkm52dzc2bNwkJCQHy2h6W1DRfmavju19VxKfoyDXCAc5EDvVcpIzsblKpeTLVRkjVGh0zFv5J+P2MsmXtmkp5vY0Dn334SrWaj9FoNEaFVDMzM1EqlVhYWBgVUi2vI0dF0ZckLF++nIcPH7J69epqWZIg8u/jbBEdu14m+mti+/btlbL90shvJG4subm5BpZ0+h99U//8P87OzqXmOeh0OqKioggJCSEyMpJGjRrh4+Nj0DRfo80T0ahEHeoyVMCYyKCRh5RhXSrvmq42QnrwWDxf74oyaiRaEIWZlAXTG9De9+XWNZWVohw5ivNyVKlUhUaKxZVyWFhYFHuCFNUSsCRKKkkoabRX1Lrh4eHs3r2bTz75BK1W+1Ln7apaSYKIcZT1fKwKVERIO3fuzOXLl4UHs/r16zNo0CCmT59ebPMR/QPn3r17iYuLw9nZmS5durBgwQI8PT0r+NdUHjqdjvT0dIPQcGJiIs+ePcPe3r6QwFpbWxd57eqb5oeGhmJmZoaPjw+vvvoqfzyQEXRFTW4RodzSMJXD0C4mNPaonOmnapGNo9Pp+O8v8eUSUYAcpZYfD8ZWipDm5uYa3QAgNze3yJCqvb19mRw5CpYk6DuhFCV2SqWS69evFyt4FS1JsLCwKHb9q1evcuDAAWbNmiUKnki1QG8C/jLZtGkT7733HpmZmVy7do2PPvqIkydPcurUqSKviXfeeYeYmBgCAgJo2bIlmZmZ7Nmzh9OnT1fYMaYgGo3mpeU2SCQSbGxssLGxoX79+sJytVpNcnKyILCXL18mISEBnU4nhIZr1qxJrVq1cHZ2xtLSkg4dOtC+fXsePnxISEgIp06fJsf5P+Rqyle2o1LDuTD1v1tIb4Wnk1pBK7W7DzKITcjBrVbp3T9UKlWJoph/NKnRaIocNTo6OuLu7o5CoRAabkskkmIFTV8DVt6ShOJGdzqdDrlczsWLFzl8+DAtWrTgwIED2NjYsHz5ct566y1MTU3JyMhg7ty5nDx5kuzsbPz8/ITmCEeOHOGzzz7j8ePHNG7cmK1bt9KsWTPgf/ZNu3fvJj4+ngEDBvD111+j0WgYNGgQSqVS6HBy7949vv32W4OG4IcOHWLOnDnExsbSokULvv76a8GOzNPTkylTprBr1y6ePHlCr1692LlzZ5VxVxF5uZR0noWHhzNp0iTCwsJwc3NjxYoVvPnmm0Bek3dLS0seP35cyAQe4MMPP2T//v2kpaVRv3591q9fT8eOHYG8VpO3b99GoVBw6NAh1q5dy4gRI5g0aRK//PILLi4uQh9rPSXtS0lYWlrSuXNnDh06RMOGDQkKCqJv374GTfJPnTrFyZMnuXfvnmB1aGtra+A+9MMPP7Bq1SpiYmJwdnZm1qxZgp+vfvQ8efJk1q5di5WVFcuWLRNMF959913Mzc158uQJ586d45dffmHPnj0GBhHbtm3jiy++4NmzZ7z++uts3boVV1fXcn+vcrmcWrVqUatWLYPl+S3pnjx5wtWrV0lJScHW1tZg5NqzZ09iU6QE/FYxEYxN0ZGcpsXJ9uVPbVULIT16Nqnco1E9Wq2OX09F08tPUWS2anp6uiCSWq0Wc3Nzwd3AxMQEExMTZDIZMpkMa2trobA4f+1eeno6KSkp5S5JMDMzw9ra+qWWJCgUCpo1a0ZMTAx//vknH3zwAd999x3ffvsts2bNYuTIkUgkEoYPH46VlRV//vknVlZWXLx4Ecgz+x43bhyHDx/G19eXPXv28Oabb3L37l0hNLV3716OHz+OpaUl/fr1Y+nSpSxdupSjR4+WGBK7d+8ew4YN4+DBg3Tu3Jl169bRr18/7ty5g6lpXku+wMBAjh07hkKhoEOHDuzYsYOJEydW6FwQqXqUdJ5JpVL69evHuHHjOHHiBBcuXKB///6EhITg7e0NFG8CD9C6dWsWLFiAra0tX331FYMGDeLx48fCA9kvv/zCvn372LVrF0qlkkWLFvHgwQMePHhAZmYm/v7+wn7m5uaWui+l4e7ujq+vL+fPn6dv374Gr506dYo2bdoU8gvOT40aNThy5Ah169YlODgYf39/WrduTatWrQBISEggOTmZ2NhYLl++TO/evfH19RX2LyAggF9//ZUjR46gUqkMmvWfOXOGOXPmcOLECZo0acLHH3/M0KFDS7VWLA/6yFz+nsoajcZg9BoSEkJiYiLPTTqiUTSp0OdpdXDjgYaurf6lQvo0WVUh+xwAtQbOXQgjOfo+EokEnU6HTqdDq9UK4Q0TExMsLCwwMTER7IH+SSUJHh4eTJgwAYAxY8YwefJkEhMT0el0HD16lJSUFGH06OfnB+Q9nb7//vu0bdtWeN/y5cu5fPmysM6UKVOEC3/evHlMnTq1xMb7en766Sf69OkjNAv/+OOP+eqrr7h48aJg3Dxt2jThabhfv36EhYW9pKMhUpUo6TyTSqVkZGQwe/ZspFIpXbp0oW/fvvz4448sXLgQKNkEXm/QDTBz5kyWLl3K3bt3ad68OQDt2rUTDMHNzc0JDAxky5YtODg44ODgwLRp0wR3osuXL5e6L8bg6urKs2fPCi1PSUkRTOWLo0+fPsL//fz86NGjB+fPnxeEFGDJkiWYmZnh5+dHnz59CAwMFJKJ+vfvT4cOHQAKRXf27t3LuHHjhG2tWLECe3t7Hj9+/JfMz8pkMmEkmp9vj2TxML5i91KtFtIqx4q6eghpbm7FRqN61GoJKpWqyNc0Gg0ajYacCjjMVEX0RsAvXrxApVIVMgVfvny5UC+6YcOGQu8/deoUjx8/NrBj02g0bNy4kbNnz5Kamsr58+dJTEwE8nw59UbFBU2JwdDo/MiRI5iamhYyGt64cSPnzp0jNTWVEydO8ODBAwCuXr1qYLgsUv3Ib0ydn5LOM4lEgkwmM3Ajio6O5t69e0gkklJN4C9evMj169cFk3OlUsnatWupW7eucA7nP6eioqI4fPgwV65cAfK8cvXn8e3bt0vcl4I8fvy4SOPsS5cuUadOnUJG4uHh4cTExJR4jkdGRnL27FlSUlKEeufnz5+TmprKo0ePMDMzY82aNcL6sbGxPHr0CK1WW+hYgaGReHBwMA0aNDB43czMjCVLluDu7l7sPlU2SsehYFZxH1G1pnJya6tF1u781Xc5f6Xw01tZGT7Alf+MrDxj76qIPksyJibGwOga/meObWlpiZubG8+ePcPOzs7g/e+//z7u7u7Mmzev2O3Pnj1bCLcePXqUKVOm8ODBA86dO8eIESMMQrv554OWLFnCrVu3CAwMBPKSqGrXrs3evXvp3LlzoQzPgobLItWP4rJ2SzrPzp8/z6BBg4iLixMiPMOHD6dBgwYsXLiwRBP48+fPM3DgQE6fPk2TJk2QSqXY29uzb98+unXrVuQ55eXlxddff02vXr2AvNHyokWLhO2VtC8F6dy5MyNHjuS9994TlkVHR+Pt7U1gYGCRc6T9+vUjMjKS2rVrF9qePudg165d9O/fHxMTEwYMGEDTpk0FI/Bu3bqRlpYmdAwaMmQITZs2Zf78+YWOFRgaiY8fPx5HR0dWrVoF5GXQ2tnZERkZ+bdmDO89peLWo4oPqDo1k9G77cvvx1114o4l0KaFLQpFxXbVXCGleeOKNUz+p+Li4oK/vz+TJ0/m+fPn5ObmCnMiEyZMYOvWrVy5cgWdTkdmZiZBQUHC0z3A5s2biYmJ4dmzZyxfvpwhQ4YAeebbKSkppKWlFfm5gwcPJigoiNOnT5Obm8uXX36JmZkZ7du3r/w/WuRvQ29Qrf9Rq9Ulnmdt27bF0tKSVatWkZuby9mzZzl8+DBDhw4t9bPS09ORy+U4OzujVqtZvHgxL168KPE9gwcPZsWKFTx//pyYmBg2btwovFaRfcnKyuLcuXP079+fNm3a0Lt370LrdOvWje7du/PWW28RGhqKWq0mPT2drVu38v333wuZ+PrazKNHj3LixIlC2/n8889RqVScP3+eI0eOMGjQoFL3D/IeCn744QfCwsJQKpXMnTuXtm3b/u1lNw1qSzGtYPzU1ATqulSO5FULIe3W0bnCc6QKMxmtW9iVvuK/lN27d2NiYkLDhg2pUaMG69evB8DX15dt27YxZcoU7O3teeWVV9ixY4fBe4cPH06PHj2oW7cudevW5bPPPgPyDICHDRtG3bp1sbOzIy4uzuB93t7e7Nmzh6lTp+Lk5MThw4c5fPiwkGgk8s+kd+/emJubCz8LFy4s8TwzNTXl0KFDHD16FCcnJyZPnsyuXbuMMpLv2bMn/v7+NGjQAA8PDxQKRYmJPJAnQh4eHnh5edGjRw9GjRolvFaefZkyZQrW1tbUrFmTjz76iIEDB3Ls2LFi8yd+/vlnevfuzZAhQ7C1taVp06aEhITQrVs3rK2t2bBhA4MHD8be3p6AgIBCGcO1atXC3t4eV1dXRowYwdatW406VgBdu3ZlyZIlDBw4EBcXFx48eCAkbf2dNH9FRkVDpyayPEGuDKpFaBfgy28e8OuZJDRGtIUqiJmphDGD6zB8gNvL37F/OdWxwF5E5J9KZXdh+js5eCGXqxEatOVQLLkMuraS8UaLyrFZrBYjUoCRb9cuVyd/iQSsLOX0616z9JVFRERERKoknVvIMS2HDkoAhSm0bVR5ubXVRkhrOpux6rNGKMyM32WpFCwtZKxf1ARry2qRoCwiIiIiUgR2VhLG+ZuWaa5UIgEzU3i/rykWZmLTeoHIR5l8vOQOKpW2SENXPRYKKTbWJqxb2BiXmmInHBEREZF/AnEpWr77VYVaA8oSGt6ZmYC5GUzoY4qjTeWOGaudkAKocrWcv/KMgAOxxMTnIJfnNVjIa8GnpUE9K4YPcKVtS3tklWidIyIiIiLy16PW6PjzsZazN9Qkp+qQyUCnywvjqrXg5ijBr4Uc7zpSZH+BH3W1FNL8RMVmE5+UQ3a2FgsLGXVcFbjUEEegIiIiIv8GnqZqeZauQ5kLChNwspXgUMkj0IJUeyEVERERERH5O6k2yUYiIiIiIiJVEVFIRUREREREKoAopCIiIiIiIhVAFFIREREREZEKIAqpiIiIiIhIBRCFVEREREREpAKIQioiIiIiIlIBRCEVERERERGpAKKQioiIiIiIVABRSEVERERERCqAKKQiIiIiIiIVQBRSERERERGRCiAKqYiIiIiISAUQhVRERERERKQCiEIqIiIiIiJSAUQhFRERERERqQCikIqIiIiIiFQAUUhFREREREQqgCikIiIiIiIiFUAUUhERERERkQogCqmIiIiIiEgFEIVURERERESkAohCKiIiIiIiUgFEIRUREREREakAopCKiIiIiIhUAFFIRUREREREKoAopCIiIiIiIhXg/wGpFdfsKYMs9QAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(graph, \n", + " pos = pos, \n", + " edge_color = 'grey',\n", + " node_color = pr.ranking_, \n", + " cmap = 'coolwarm')\n", + "show_labels = draw_networkx_labels(graph,\n", + " pos_labels,\n", + " labels = names)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Ranking without personalization**" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:02.531956Z", + "start_time": "2019-07-15T12:30:02.523805Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pr.fit(adjacency)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:03.316585Z", + "start_time": "2019-07-15T12:30:03.135488Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "for node in argsort(pr.ranking_)[::-1][:5]:\n", - " print(labels[node], pr.ranking_[node])" + "# Warning: If the image does not appear, run the cell again.\n", + "draw(graph, \n", + " pos = pos, \n", + " edge_color = 'grey',\n", + " node_color = pr.ranking_, \n", + " cmap = 'coolwarm')\n", + "show_labels = draw_networkx_labels(graph,\n", + " pos_labels,\n", + " labels = names)" ] } ], From 5a91677ad7ebf8e2baebda3889dda5cc899ee4dc Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 15:02:21 +0200 Subject: [PATCH 58/92] Docstring --- docs/reference/clustering.rst | 3 +- docs/reference/embedding.rst | 3 +- sknetwork/clustering/bilouvain.py | 50 +++++---- sknetwork/clustering/louvain.py | 180 +++++++++++++++--------------- sknetwork/clustering/metrics.py | 4 +- sknetwork/embedding/spectral.py | 95 ++++++++-------- sknetwork/utils/checks.py | 2 +- 7 files changed, 171 insertions(+), 166 deletions(-) diff --git a/docs/reference/clustering.rst b/docs/reference/clustering.rst index 95819fddc..1b72e8129 100644 --- a/docs/reference/clustering.rst +++ b/docs/reference/clustering.rst @@ -5,8 +5,7 @@ Clustering .. currentmodule:: sknetwork -This module contains clustering algorithms. The ``.labels_`` attribute assigns a cluster to -each node in the graph. +This module contains clustering algorithms. The attribute ``.labels_`` assigns a cluster to each node of the graph. Louvain ------- diff --git a/docs/reference/embedding.rst b/docs/reference/embedding.rst index 8a8b5069f..685c5472a 100644 --- a/docs/reference/embedding.rst +++ b/docs/reference/embedding.rst @@ -5,8 +5,7 @@ Embedding .. currentmodule:: sknetwork -This submodule contains embedding algorithms, characterized by their ``.embedding_`` attribute which assigns a dense -vector representation to each node in the graph. +This module contains embedding algorithms. The attribute ``.embedding_`` assigns a vector to each node of the graph. Spectral diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index 59759aa6a..b1d28d019 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -29,44 +29,46 @@ class BiLouvain(Algorithm): where - :math:`c^d_i` is the cluster of sample node `i` (rows of the biadjacency matrix),\n - :math:`c^f_j` is the cluster of feature node `j` (columns of the biadjacency matrix),\n + :math:`d_i` is the weight of sample node :math:`i` (rows of the biadjacency matrix),\n + :math:`f_j` is the weight of feature node :math:`j` (columns of the biadjacency matrix),\n + :math:`c^d_i` is the cluster of sample node :math:`i`,\n + :math:`c^f_j` is the cluster of feature node :math:`j`,\n :math:`\\delta` is the Kronecker symbol,\n :math:`\\gamma \\ge 0` is the resolution parameter. - The `force_undirected` parameter of the :class:`fit` method forces the algorithm to consider the adjacency - as undirected, without considering its biadjacency structure. + The `force_undirected` parameter of the :class:`fit` method forces the algorithm to consider the graph + as undirected, without considering its bipartite structure. Parameters ---------- - resolution: + resolution : Resolution parameter. - tol: + tol : Minimum increase in the objective function to enter a new optimization pass. - agg_tol: + agg_tol : Minimum increase in the objective function to enter a new aggregation pass. - max_agg_iter: + max_agg_iter : Maximum number of aggregations. A negative value is interpreted as no limit. - engine: str + engine : str ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. - verbose: + verbose : Verbose mode. Attributes ---------- - labels_: np.ndarray - Cluster index of each sample node (rows). - feature_labels_: np.ndarray - Cluster index of each feature node (columns). - iteration_count_: int + labels_ : np.ndarray + Labels of sample nodes (rows). + feature_labels_ : np.ndarray + Labels of feature nodes (columns). + iteration_count_ : int Total number of aggregations performed. - aggregate_graph_: sparse.csr_matrix + aggregate_graph_ : sparse.csr_matrix Aggregated adjacency at the end of the algorithm. - score_: float + score_ : float objective function value after fit - n_clusters_: int + n_clusters_ : int number of clusters after fit """ @@ -95,15 +97,15 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] Parameters ---------- - biadjacency: + biadjacency : Biadjacency matrix of the graph. - weights: + weights : Probabilities for the samples in the null model. ``'degree'``, ``'uniform'`` or custom weights. - feature_weights: + feature_weights : Probabilities for the features in the null model. ``'degree'``, ``'uniform'`` or custom weights. - force_undirected: + force_undirected : If True, maximizes the modularity of the undirected graph instead of the bimodularity. - sorted_cluster: + sorted_cluster : If True, sort labels in decreasing order of cluster size. Returns @@ -135,5 +137,5 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] labels = reindex_clusters(labels) self.labels_ = labels[:n] self.feature_labels_ = labels[n:] - self.aggregate_graph_ = louvain.aggregate_graph_ + self.aggregate_graph_ = louvain.aggregate_graph_ * adjacency.data.sum() return self diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index d35c27b5a..82454cf86 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -23,12 +23,12 @@ def membership_matrix(labels: np.ndarray) -> sparse.csr_matrix: Parameters ---------- - labels: + labels : Label of each node. Returns ------- - membership: + membership : Binary matrix of label assignments. """ @@ -42,30 +42,30 @@ class AggregateGraph: Parameters ---------- - adjacency: + adjacency : Adjacency matrix of the graph. - weights: - Distribution of node weights (sums to 1), used in the second term of modularity. - in_weights: - Distribution of in-weights (sums to 1), used in the second term of modularity for directed graphs. + out_weights : + Out weights. + in_weights : + In weights. Attributes ---------- - n_nodes: int + n_nodes : int Number of nodes. - norm_adjacency: sparse.csr_matrix + norm_adjacency : sparse.csr_matrix Normalized adjacency matrix (sums to 1). - node_probs: np.ndarray - Distribution of node weights (sums to 1). - in_probs: np.ndarray - Distribution of node in-weights (sums to 1). + out_probs : np.ndarray + Distribution of out-weights (sums to 1). + in_probs : np.ndarray + Distribution of in-weights (sums to 1). """ - def __init__(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', + def __init__(self, adjacency: sparse.csr_matrix, out_weights: Union[str, np.ndarray] = 'degree', in_weights: Union[None, 'str', np.ndarray] = 'degree'): self.n_nodes = adjacency.shape[0] self.norm_adjacency = adjacency / adjacency.data.sum() - self.node_probs = check_probs(weights, adjacency) + self.out_probs = check_probs(out_weights, adjacency) if in_weights is not None: self.in_probs = check_probs(in_weights, adjacency.T) else: @@ -78,9 +78,9 @@ def aggregate(self, row_membership: Union[sparse.csr_matrix, np.ndarray], Parameters ---------- - row_membership: + row_membership : membership matrix (rows). - col_membership: + col_membership : membership matrix (columns). Returns @@ -102,7 +102,7 @@ def aggregate(self, row_membership: Union[sparse.csr_matrix, np.ndarray], if self.in_probs is not None: self.in_probs = np.array(row_membership.T.dot(self.in_probs).T) - self.node_probs = np.array(row_membership.T.dot(self.node_probs).T) + self.out_probs = np.array(row_membership.T.dot(self.out_probs).T) self.n_nodes = self.norm_adjacency.shape[0] return self @@ -113,9 +113,9 @@ class Optimizer(Algorithm): Attributes ---------- - score_: float + score_ : float Total increase of the objective function. - labels_: np.ndarray + labels_ : np.ndarray Cluster index of each node. """ def __init__(self): @@ -128,19 +128,19 @@ def fit(self, graph: AggregateGraph): Parameters ---------- - graph: + graph : Graph to cluster. Returns ------- - self: :class:̀Optimizer` + self : :class:̀Optimizer` """ return self @njit -def fit_core(resolution: float, tol: float, n_nodes: int, ou_node_probs: np.ndarray, +def fit_core(resolution: float, tol: float, n_nodes: int, out_node_probs: np.ndarray, in_node_probs: np.ndarray, self_loops: np.ndarray, data: np.ndarray, indices: np.ndarray, indptr: np.ndarray) -> (np.ndarray, float): """ @@ -148,37 +148,37 @@ def fit_core(resolution: float, tol: float, n_nodes: int, ou_node_probs: np.ndar Parameters ---------- - resolution: + resolution : Resolution parameter (positive). - tol: + tol : Minimum increase in modularity to enter a new optimization pass. - n_nodes: + n_nodes : Number of nodes. - ou_node_probs: + out_node_probs : Distribution of node weights based on their out-edges (sums to 1). - in_node_probs: + in_node_probs : Distribution of node weights based on their in-edges (sums to 1). - self_loops: + self_loops : Weights of self loops. - data: + data : CSR format data array of the normalized adjacency matrix. - indices: + indices : CSR format index array of the normalized adjacency matrix. - indptr: + indptr : CSR format index pointer array of the normalized adjacency matrix. Returns ------- - labels: + labels : Cluster index of each node. - total_increase: + total_increase : Score of the clustering (total increase in modularity). """ increase: bool = True total_increase: float = 0 labels: np.ndarray = np.arange(n_nodes) - ou_clusters_weights: np.ndarray = ou_node_probs.copy() + out_clusters_weights: np.ndarray = out_node_probs.copy() in_clusters_weights: np.ndarray = in_node_probs.copy() nodes = np.arange(n_nodes) @@ -198,20 +198,20 @@ def fit_core(resolution: float, tol: float, n_nodes: int, ou_node_probs: np.ndar unique_clusters = set(labels[neighbors]) unique_clusters.discard(node_cluster) - ou_ratio = resolution * ou_node_probs[node] + out_ratio = resolution * out_node_probs[node] in_ratio = resolution * in_node_probs[node] if len(unique_clusters): exit_delta: float = 2 * (neighbor_clusters_weights[node_cluster] - self_loops[node]) - exit_delta -= ou_ratio * (in_clusters_weights[node_cluster] - in_node_probs[node]) - exit_delta -= in_ratio * (ou_clusters_weights[node_cluster] - ou_node_probs[node]) + exit_delta -= out_ratio * (in_clusters_weights[node_cluster] - in_node_probs[node]) + exit_delta -= in_ratio * (out_clusters_weights[node_cluster] - out_node_probs[node]) best_delta: float = 0 best_cluster = node_cluster for cluster in unique_clusters: delta: float = 2 * neighbor_clusters_weights[cluster] - delta -= ou_ratio * in_clusters_weights[cluster] - delta -= in_ratio * ou_clusters_weights[cluster] + delta -= out_ratio * in_clusters_weights[cluster] + delta -= in_ratio * out_clusters_weights[cluster] local_delta = delta - exit_delta if local_delta > best_delta: @@ -220,9 +220,9 @@ def fit_core(resolution: float, tol: float, n_nodes: int, ou_node_probs: np.ndar if best_delta > 0: pass_increase += best_delta - ou_clusters_weights[node_cluster] -= ou_node_probs[node] + out_clusters_weights[node_cluster] -= out_node_probs[node] in_clusters_weights[node_cluster] -= in_node_probs[node] - ou_clusters_weights[best_cluster] += ou_node_probs[node] + out_clusters_weights[best_cluster] += out_node_probs[node] in_clusters_weights[best_cluster] += in_node_probs[node] labels[node] = best_cluster @@ -238,12 +238,12 @@ class GreedyModularity(Optimizer): Attributes ---------- - resolution: + resolution : Modularity resolution. - tol: + tol : Minimum modularity increase to enter a new optimization pass. - engine: str - ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, it will tests if numba is available. + engine : str + ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. """ @@ -259,19 +259,19 @@ def fit(self, graph: AggregateGraph): Parameters ---------- - graph: + graph : The adjacency to cluster. Returns ------- - self: :class:`Optimizer` + self : :class:`Optimizer` """ - ou_node_probs = graph.node_probs + out_node_probs = graph.out_probs if graph.in_probs is not None: in_node_probs = graph.in_probs else: - in_node_probs = ou_node_probs + in_node_probs = out_node_probs adjacency = 0.5 * directed2undirected(graph.norm_adjacency) @@ -286,7 +286,7 @@ def fit(self, graph: AggregateGraph): total_increase: float = 0. labels: np.ndarray = np.arange(graph.n_nodes) - ou_clusters_weights: np.ndarray = ou_node_probs.copy() + out_clusters_weights: np.ndarray = out_node_probs.copy() in_clusters_weights: np.ndarray = in_node_probs.copy() while increase: @@ -302,19 +302,19 @@ def fit(self, graph: AggregateGraph): unique_clusters: list = list(set(neighbors_clusters.tolist()) - {node_cluster}) n_clusters: int = len(unique_clusters) - ou_ratio = self.resolution * ou_node_probs[node] + out_ratio = self.resolution * out_node_probs[node] in_ratio = self.resolution * in_node_probs[node] if n_clusters > 0: exit_delta: float = 2 * (weights[labels[neighbors] == node_cluster].sum() - self_loops[node]) - exit_delta -= ou_ratio * (in_clusters_weights[node_cluster] - in_node_probs[node]) - exit_delta -= in_ratio * (ou_clusters_weights[node_cluster] - ou_node_probs[node]) + exit_delta -= out_ratio * (in_clusters_weights[node_cluster] - in_node_probs[node]) + exit_delta -= in_ratio * (out_clusters_weights[node_cluster] - out_node_probs[node]) local_delta: np.ndarray = np.full(n_clusters, -exit_delta) for index_cluster, cluster in enumerate(unique_clusters): delta: float = 2 * weights[labels[neighbors] == cluster].sum() - delta -= ou_ratio * in_clusters_weights[cluster] - delta -= in_ratio * ou_clusters_weights[cluster] + delta -= out_ratio * in_clusters_weights[cluster] + delta -= in_ratio * out_clusters_weights[cluster] local_delta[index_cluster] += delta @@ -324,9 +324,9 @@ def fit(self, graph: AggregateGraph): pass_increase += best_delta best_cluster = unique_clusters[delta_argmax] - ou_clusters_weights[node_cluster] -= ou_node_probs[node] + out_clusters_weights[node_cluster] -= out_node_probs[node] in_clusters_weights[node_cluster] -= in_node_probs[node] - ou_clusters_weights[best_cluster] += ou_node_probs[node] + out_clusters_weights[best_cluster] += out_node_probs[node] in_clusters_weights[best_cluster] += in_node_probs[node] labels[node] = best_cluster @@ -341,7 +341,7 @@ def fit(self, graph: AggregateGraph): elif self.engine == 'numba': labels, total_increase = fit_core(self.resolution, self.tol, graph.n_nodes, - ou_node_probs, in_node_probs, self_loops, data, indices, indptr) + out_node_probs, in_node_probs, self_loops, data, indices, indptr) self.score_ = total_increase _, self.labels_ = np.unique(labels, return_inverse=True) @@ -354,57 +354,59 @@ def fit(self, graph: AggregateGraph): class Louvain(Algorithm): """ - Louvain algorithm for adjacency clustering in Python (default) and Numba. + Louvain algorithm for graph clustering in Python (default) and Numba. Seeks the best partition of the nodes with respect to modularity. The modularity of a clustering is - :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d_id_j}{w^2}\\big)\\delta_{c_i,c_j}` + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{w_iw_j}{w^2}\\big)\\delta_{c_i,c_j}` for undirected graphs - :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{d^+_id^-_j}{w^2}\\big)\\delta_{c_i,c_j}` + :math:`Q = \\sum_{i,j=1}^n\\big(\\dfrac{A_{ij}}{w} - \\gamma \\dfrac{w^+_iw^-_j}{w^2}\\big)\\delta_{c_i,c_j}` for directed graphs where - :math:`c_i` is the cluster of node `i`,\n + :math:`w_i` is the weight of node :math:`i` (undirected graphs),\n + :math:`w^+_i, w^-_i` are the out-weight and in-weight of node :math:`i` (directed graphs),\n + :math:`c_i` is the cluster of node :math:`i`,\n :math:`\\delta` is the Kronecker symbol,\n :math:`\\gamma \\ge 0` is the resolution parameter. Parameters ---------- - algorithm: + algorithm : The optimization algorithm. Requires a fit method. Requires `score\\_` and `labels\\_` attributes. - If ``'default'``, use greedy modularity optimization algorithm: :class:`GreedyModularity`. - resolution: + If ``'default'``, uses greedy modularity optimization algorithm: :class:`GreedyModularity`. + resolution : Resolution parameter. - tol: + tol : Minimum increase in the objective function to enter a new optimization pass. - agg_tol: + agg_tol : Minimum increase in the objective function to enter a new aggregation pass. - max_agg_iter: + max_agg_iter : Maximum number of aggregations. A negative value is interpreted as no limit. - shuffle_nodes: + shuffle_nodes : Enables node shuffling before optimization. - verbose: + verbose : Verbose mode. - random_state: - Random number generator or random seed. If None, numpy.random will be used. + random_state : + Random number generator or random seed. If None, numpy.random is used. Attributes ---------- - labels_: np.ndarray + labels_ : np.ndarray Cluster index of each node. - n_clusters_: int + n_clusters_ : int The number of clusters in the partition. - iteration_count_: int + iteration_count_ : int Total number of aggregations performed. - aggregate_graph_: sparse.csr_matrix + aggregate_graph_ : sparse.csr_matrix Aggregated adjacency at the end of the algorithm. Example @@ -462,30 +464,32 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd Parameters ---------- adjacency : - Adjacency matrix of the adjacency to cluster. + Adjacency matrix of the graph. weights : - Probabilities for node sampling in the null model. ``'degree'``, ``'uniform'`` or custom weights. + Weights (undirected graphs) or out-weights (directed graphs) used in the second term of modularity. + ``'degree'``, ``'uniform'`` or custom weights. in_weights : - Probabilities for feature sampling in the null model. ``'degree'``, ``'uniform'`` or custom weights, - only useful for directed modularity optimization. + In-weights (directed graphs) used in the second term of modularity. + ``None``, ``'degree'``, ``'uniform'`` or custom weights. + If None, taken equal to out-weights. sorted_cluster : - If True, sort labels in decreasing order of cluster size. + If True, sorts labels in decreasing order of cluster size. Returns ------- self: :class:`Louvain` """ - adj_matrix = check_format(adjacency) + adjacency = check_format(adjacency) - if not is_square(adj_matrix): + if not is_square(adjacency): raise ValueError('The adjacency matrix must be a square matrix. See Bilouvain for rectangular matrices.') - nodes = np.arange(adj_matrix.shape[0]) + nodes = np.arange(adjacency.shape[0]) if self.shuffle_nodes: nodes = self.random_state.permutation(nodes) - adj_matrix = adj_matrix[nodes, :].tocsc()[:, nodes].tocsr() + adjacency = adjacency[nodes, :].tocsc()[:, nodes].tocsr() - graph = AggregateGraph(adj_matrix, weights, in_weights) + graph = AggregateGraph(adjacency, weights, in_weights) membership = sparse.identity(graph.n_nodes, format='csr') increase = True @@ -521,5 +525,5 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd self.n_clusters_ = len(set(self.labels_)) if sorted_cluster: self.labels_ = reindex_clusters(self.labels_) - self.aggregate_graph_ = graph.norm_adjacency * adj_matrix.data.sum() + self.aggregate_graph_ = graph.norm_adjacency * adjacency.data.sum() return self diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index af8405234..8393574ad 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -136,8 +136,8 @@ def cocitation_modularity(adjacency: Union[sparse.csr_matrix, np.ndarray], label where :math:`AF^{-1}A^T` is the normalized cocitation adjacency matrix,\n - :math:`F = \\diag(A^T1)` is the diagonal matrix of feature weights,\n - :math:`c_j` is the cluster of node `i`,\n + :math:`F = \\text{diag}(A^T1)` is the diagonal matrix of feature weights,\n + :math:`c_i` is the cluster of node `i`,\n :math:`\\delta` is the Kronecker symbol,\n :math:`\\gamma \\ge 0` is the resolution parameter. diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 6dd12e335..1fc8d3d4c 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -20,54 +20,55 @@ class Spectral(Algorithm): """ - Weighted spectral embedding of a graph. + Spectral embedding of a graph. + + Parameters + ---------- + embedding_dimension : int, optional + Dimension of the embedding space + normalized_laplacian : bool (default = True) + whether to use the normalized laplacian, :math:`I - D^{-1/2} A D^{-1/2}` + regularization : ``None`` or float (default=0.01) + Implicitly add edges of given weight between all pairs of nodes. + energy_scaling : bool (default=True) + If ``True``, rescales each column of the embedding by dividing it by :math:`\\sqrt{\\lambda_i}`. + Only valid if ``node_weights == 'degree'``. + force_biadjacency : bool (default=False) + Only relevant for symmetric inputs. Force the algorithm to treat the adjacency as a biadjacency + as it would do for asymmetric inputs. + solver: 'auto', 'halko', 'lanczos' or EigSolver object + Which eigenvalue solver to use + * 'auto' calls the auto_solver function + * 'halko': randomized method, fast but less accurate than 'lanczos' for ill-conditioned matrices + * 'lanczos': power-iteration based method + * custom: the user must provide an EigSolver object. + + Attributes + ---------- + embedding_ : array, shape = (n, embedding_dimension) + Embedding matrix of the nodes + features_ : array, shape = (p, embedding_dimension) + Only relevant for asymmetric inputs or if ``force_biadjacency==True``. + eigenvalues_ : array, shape = (embedding_dimension) + Smallest eigenvalues of the training matrix + + Example + ------- + >>> from sknetwork.toy_graphs import karate_club_graph + >>> adjacency = karate_club_graph() + >>> spectral = Spectral(embedding_dimension=2) + >>> spectral.fit(adjacency) + Spectral(embedding_dimension=2, normalized_laplacian=True, regularization=0.01, energy_scaling=True,\ +force_biadjacency=False, solver=LanczosEig(which='SM')) + >>> spectral.embedding_.shape + (34, 2) + + References + ---------- + * Belkin, M. & Niyogi, P. (2003). Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, + Neural computation. - Parameters - ---------- - embedding_dimension : int, optional - Dimension of the embedding space - normalized_laplacian : bool (default = True) - whether to use the normalized laplacian, :math:`I - D^{-1/2} A D^{-1/2}` - regularization: ``None`` or float (default=0.01) - Implicitly add edges of given weight between all pairs of nodes. - energy_scaling: bool (default=True) - If ``True``, rescales each column of the embedding by dividing it by :math:`\\sqrt{\\lambda_i}`. - Only valid if ``node_weights == 'degree'``. - force_biadjacency: bool (default=False) - Only relevant for symmetric inputs. Force the algorithm to treat the adjacency as a biadjacency - as it would do for asymmetric inputs. - solver: 'auto', 'halko', 'lanczos' or EigSolver object - Which eigenvalue solver to use - * 'auto' calls the auto_solver function - * 'halko': randomized method, fast but less accurate than 'lanczos' for ill-conditioned matrices - * 'lanczos': power-iteration based method - * custom: the user must provide an EigSolver object. - - Attributes - ---------- - embedding_ : array, shape = (n_nodes, embedding_dimension) - Embedding matrix of the nodes - features_ : array, shape = (m_nodes, embedding_dimension) - Only relevant for asymmetric inputs or if ``force_biadjacency==True``. - eigenvalues_ : array, shape = (embedding_dimension) - Smallest eigenvalues of the training matrix - - Example - ------- - >>> from sknetwork.toy_graphs import karate_club_graph - >>> adjacency = karate_club_graph() - >>> spectral = Spectral(embedding_dimension=2) - >>> spectral.fit(adjacency) - Spectral(embedding_dimension=2, normalized_laplacian=True, regularization=0.01, energy_scaling=True,\ - force_biadjacency=False, solver=LanczosEig(which='SM')) - >>> spectral.embedding_.shape - (34, 2) - - References - ---------- - * Belkin, M. & Niyogi, P. (2003). Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, - Neural computation. - """ + """ def __init__(self, embedding_dimension: int = 2, normalized_laplacian=True, regularization: Union[None, float] = 0.01, energy_scaling: bool = True, diff --git a/sknetwork/utils/checks.py b/sknetwork/utils/checks.py index 320ab3aa4..5ef4c7f26 100644 --- a/sknetwork/utils/checks.py +++ b/sknetwork/utils/checks.py @@ -156,7 +156,7 @@ def check_weights(weights: Union['str', np.ndarray], adjacency: Union[sparse.csr 'Node weights must be a known distribution ("degree" or "uniform" string) or a custom NumPy array.') if positive_entries and not has_positive_entries(node_weights_vec): - raise ValueError('Some of the weights are not positive.') + raise ValueError('All weights must be positive.') else: if np.any(node_weights_vec < 0) or node_weights_vec.sum() <= 0: raise ValueError('Node weights must be non-negative with positive sum.') From 217bbd53dc8015cdfa92bef246a6d6a1052050d1 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 15:46:55 +0200 Subject: [PATCH 59/92] Name of toy graphs --- sknetwork/clustering/tests/test_bilouvain.py | 4 ++-- sknetwork/clustering/tests/test_louvain.py | 8 ++++---- sknetwork/clustering/tests/test_metrics.py | 4 ++-- sknetwork/embedding/gsvd.py | 4 ++-- sknetwork/embedding/spectral.py | 4 ++-- sknetwork/embedding/tests/test_metrics.py | 4 ++-- sknetwork/hierarchy/tests/test_metrics.py | 4 ++-- sknetwork/hierarchy/tests/test_paris.py | 6 +++--- sknetwork/linalg/tests/test_eig.py | 4 ++-- sknetwork/linalg/tests/test_sparse_lowrank.py | 8 ++++---- sknetwork/linalg/tests/test_svd.py | 4 ++-- sknetwork/ranking/pagerank.py | 4 ++-- sknetwork/ranking/tests/test_pagerank.py | 4 ++-- sknetwork/toy_graphs/graph_data.py | 16 ++++++++-------- sknetwork/toy_graphs/tests/test_graph_imports.py | 12 ++++++------ sknetwork/utils/tests/test_formats.py | 8 ++++---- 16 files changed, 49 insertions(+), 49 deletions(-) diff --git a/sknetwork/clustering/tests/test_bilouvain.py b/sknetwork/clustering/tests/test_bilouvain.py index c02984575..3ac7cabbc 100644 --- a/sknetwork/clustering/tests/test_bilouvain.py +++ b/sknetwork/clustering/tests/test_bilouvain.py @@ -5,7 +5,7 @@ import unittest from sknetwork.clustering import BiLouvain -from sknetwork.toy_graphs import star_wars_villains_graph +from sknetwork.toy_graphs import star_wars_villains from sknetwork import is_numba_available @@ -21,7 +21,7 @@ def setUp(self): BiLouvain(engine='numba') self.biouvain_null_resolution = BiLouvain(resolution=0., verbose=False) - self.star_wars_graph = star_wars_villains_graph() + self.star_wars_graph = star_wars_villains() def test_star_wars_graph(self): labels = self.bilouvain.fit(self.star_wars_graph).labels_ diff --git a/sknetwork/clustering/tests/test_louvain.py b/sknetwork/clustering/tests/test_louvain.py index e9b185220..ac65462aa 100644 --- a/sknetwork/clustering/tests/test_louvain.py +++ b/sknetwork/clustering/tests/test_louvain.py @@ -5,7 +5,7 @@ import unittest from sknetwork.clustering import Louvain, GreedyModularity, modularity -from sknetwork.toy_graphs import karate_club_graph, bow_tie_graph, painters_graph +from sknetwork.toy_graphs import karate_club, bow_tie, painters from scipy.sparse import identity from sknetwork import is_numba_available @@ -23,9 +23,9 @@ def setUp(self): Louvain(GreedyModularity(engine='numba')) self.louvain_shuffle_first = Louvain(GreedyModularity(engine='python'), shuffle_nodes=True, random_state=0) self.louvain_shuffle_second = Louvain(GreedyModularity(engine='python'), shuffle_nodes=True, random_state=123) - self.karate_club_graph = karate_club_graph() - self.bow_tie_graph = bow_tie_graph() - self.painters_graph = painters_graph(return_labels=False) + self.karate_club_graph = karate_club() + self.bow_tie_graph = bow_tie() + self.painters_graph = painters(return_labels=False) def test_unknown_types(self): with self.assertRaises(TypeError): diff --git a/sknetwork/clustering/tests/test_metrics.py b/sknetwork/clustering/tests/test_metrics.py index 82f6ab38f..3cd01242c 100644 --- a/sknetwork/clustering/tests/test_metrics.py +++ b/sknetwork/clustering/tests/test_metrics.py @@ -6,7 +6,7 @@ import numpy as np from scipy import sparse from sknetwork.clustering import modularity, cocitation_modularity, bimodularity -from sknetwork.toy_graphs import star_wars_villains_graph +from sknetwork.toy_graphs import star_wars_villains class TestClusteringMetrics(unittest.TestCase): @@ -16,7 +16,7 @@ def setUp(self): [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0]])) - self.star_wars_graph = star_wars_villains_graph() + self.star_wars_graph = star_wars_villains() self.labels = np.array([0, 1, 0, 0]) self.unique_cluster = np.zeros(4, dtype=int) diff --git a/sknetwork/embedding/gsvd.py b/sknetwork/embedding/gsvd.py index 770e11cc2..f7eb40418 100755 --- a/sknetwork/embedding/gsvd.py +++ b/sknetwork/embedding/gsvd.py @@ -42,8 +42,8 @@ class GSVD(Algorithm): Example ------- - >>> from sknetwork.toy_graphs import movie_actor_graph - >>> adjacency = movie_actor_graph() + >>> from sknetwork.toy_graphs import movie_actor + >>> adjacency = movie_actor() >>> gsvd = GSVD(embedding_dimension=2) >>> gsvd.fit(adjacency) GSVD(embedding_dimension=2, weights='degree', regularization=0.01, energy_scaling=True, solver=LanczosSVD()) diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 1fc8d3d4c..c3845749e 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -54,8 +54,8 @@ class Spectral(Algorithm): Example ------- - >>> from sknetwork.toy_graphs import karate_club_graph - >>> adjacency = karate_club_graph() + >>> from sknetwork.toy_graphs import karate_club + >>> adjacency = karate_club() >>> spectral = Spectral(embedding_dimension=2) >>> spectral.fit(adjacency) Spectral(embedding_dimension=2, normalized_laplacian=True, regularization=0.01, energy_scaling=True,\ diff --git a/sknetwork/embedding/tests/test_metrics.py b/sknetwork/embedding/tests/test_metrics.py index 6821cc2aa..691cc91d7 100644 --- a/sknetwork/embedding/tests/test_metrics.py +++ b/sknetwork/embedding/tests/test_metrics.py @@ -6,7 +6,7 @@ import numpy as np from scipy import sparse from sknetwork.embedding.metrics import dot_modularity, hscore, linear_fit -from sknetwork.toy_graphs import star_wars_villains_graph +from sknetwork.toy_graphs import star_wars_villains class TestClusteringMetrics(unittest.TestCase): @@ -16,7 +16,7 @@ def setUp(self): [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0]])) - self.bipartite = star_wars_villains_graph() + self.bipartite = star_wars_villains() self.embedding = np.ones((4, 2)) self.features = np.ones((3, 2)) diff --git a/sknetwork/hierarchy/tests/test_metrics.py b/sknetwork/hierarchy/tests/test_metrics.py index 9856a6099..fd0900a60 100644 --- a/sknetwork/hierarchy/tests/test_metrics.py +++ b/sknetwork/hierarchy/tests/test_metrics.py @@ -7,14 +7,14 @@ import unittest from sknetwork.hierarchy import Paris, tree_sampling_divergence, dasgupta_cost -from sknetwork.toy_graphs import karate_club_graph +from sknetwork.toy_graphs import karate_club class TestMetrics(unittest.TestCase): def setUp(self): self.paris = Paris() - self.karate_club_graph = karate_club_graph() + self.karate_club_graph = karate_club() def test_karate_club_graph(self): adjacency = self.karate_club_graph diff --git a/sknetwork/hierarchy/tests/test_paris.py b/sknetwork/hierarchy/tests/test_paris.py index d98ff463e..fac54d77f 100644 --- a/sknetwork/hierarchy/tests/test_paris.py +++ b/sknetwork/hierarchy/tests/test_paris.py @@ -10,7 +10,7 @@ import numpy as np from scipy.sparse import identity from sknetwork.hierarchy import Paris, straight_cut -from sknetwork.toy_graphs import house_graph, karate_club_graph +from sknetwork.toy_graphs import house, karate_club from sknetwork import is_numba_available @@ -18,8 +18,8 @@ class TestParis(unittest.TestCase): def setUp(self): self.paris_python = Paris(engine='python') - self.house_graph = house_graph() - self.karate_club_graph = karate_club_graph() + self.house_graph = house() + self.karate_club_graph = karate_club() if is_numba_available: self.paris_numba = Paris(engine='numba') else: diff --git a/sknetwork/linalg/tests/test_eig.py b/sknetwork/linalg/tests/test_eig.py index 48f6f819e..fd6cf8775 100644 --- a/sknetwork/linalg/tests/test_eig.py +++ b/sknetwork/linalg/tests/test_eig.py @@ -5,13 +5,13 @@ import unittest import numpy as np from sknetwork.linalg import LanczosEig, HalkoEig, SparseLR -from sknetwork.toy_graphs import house_graph +from sknetwork.toy_graphs import house class TestSolvers(unittest.TestCase): def setUp(self): - self.adjacency = house_graph() + self.adjacency = house() n, m = self.adjacency.shape self.slr = SparseLR(self.adjacency, [(np.ones(n), np.ones(m))]) diff --git a/sknetwork/linalg/tests/test_sparse_lowrank.py b/sknetwork/linalg/tests/test_sparse_lowrank.py index e2b117c21..8b99170b5 100644 --- a/sknetwork/linalg/tests/test_sparse_lowrank.py +++ b/sknetwork/linalg/tests/test_sparse_lowrank.py @@ -5,7 +5,7 @@ import unittest import numpy as np from scipy import sparse -from sknetwork.toy_graphs import house_graph, star_wars_villains_graph +from sknetwork.toy_graphs import house, star_wars_villains from sknetwork.linalg.sparse_lowrank import SparseLR from sknetwork.linalg.randomized_matrix_factorization import randomized_svd, randomized_eig @@ -13,12 +13,12 @@ class TestSparseLowRank(unittest.TestCase): def setUp(self): - self.undirected = SparseLR(house_graph(), [(np.ones(5), np.ones(5))]) - self.bipartite = SparseLR(star_wars_villains_graph(), [(np.ones(4), np.ones(3))]) + self.undirected = SparseLR(house(), [(np.ones(5), np.ones(5))]) + self.bipartite = SparseLR(star_wars_villains(), [(np.ones(4), np.ones(3))]) def test_addition(self): addition = self.undirected + self.undirected - expected = SparseLR(2 * house_graph(), [(np.ones(5), 2 * np.ones(5))]) + expected = SparseLR(2 * house(), [(np.ones(5), 2 * np.ones(5))]) err: sparse.csr_matrix = (addition.sparse_mat != expected.sparse_mat) self.assertEqual(err.nnz, 0) random_vector = np.random.rand(5) diff --git a/sknetwork/linalg/tests/test_svd.py b/sknetwork/linalg/tests/test_svd.py index 7a5157e8e..456434b50 100644 --- a/sknetwork/linalg/tests/test_svd.py +++ b/sknetwork/linalg/tests/test_svd.py @@ -5,13 +5,13 @@ import unittest import numpy as np from sknetwork.linalg import LanczosSVD, HalkoSVD, SparseLR -from sknetwork.toy_graphs import movie_actor_graph +from sknetwork.toy_graphs import movie_actor class TestSolvers(unittest.TestCase): def setUp(self): - self.biadjacency = movie_actor_graph() + self.biadjacency = movie_actor() n, m = self.biadjacency.shape self.slr = SparseLR(self.biadjacency, [(np.ones(n), np.ones(m))]) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 9bd61c108..b341f8b74 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -69,9 +69,9 @@ class PageRank(Algorithm): Example ------- - >>> from sknetwork.toy_graphs import rock_paper_scissors_graph + >>> from sknetwork.toy_graphs import rock_paper_scissors >>> pagerank = PageRank() - >>> adjacency = rock_paper_scissors_graph() + >>> adjacency = rock_paper_scissors() >>> pagerank.fit(adjacency) PageRank(damping_factor=0.85, method='diter', n_iter=25) >>> np.round(pagerank.ranking_, 2) diff --git a/sknetwork/ranking/tests/test_pagerank.py b/sknetwork/ranking/tests/test_pagerank.py index b57572df5..83d293ab0 100644 --- a/sknetwork/ranking/tests/test_pagerank.py +++ b/sknetwork/ranking/tests/test_pagerank.py @@ -5,14 +5,14 @@ import unittest import numpy as np -from sknetwork.toy_graphs import rock_paper_scissors_graph +from sknetwork.toy_graphs import rock_paper_scissors from sknetwork.ranking.pagerank import PageRank class TestPageRank(unittest.TestCase): def setUp(self): - self.adjacency = rock_paper_scissors_graph() + self.adjacency = rock_paper_scissors() self.spectral_ranking = PageRank(method='spectral') self.no_damping_spectral_ranking = PageRank(damping_factor=0., method='spectral') self.diter_ranking = PageRank() diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index 12f151f57..a497a5c53 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -11,7 +11,7 @@ from scipy import sparse -def miserables_graph(return_labels=False): +def miserables(return_labels=False): """ Co-occurrence graph of the characters in Les Miserables (by Victor Hugo). @@ -173,7 +173,7 @@ def miserables_graph(return_labels=False): return adjacency -def bow_tie_graph(): +def bow_tie(): """ Bow tie graph @@ -190,7 +190,7 @@ def bow_tie_graph(): return adjacency -def house_graph(): +def house(): """ House graph @@ -207,7 +207,7 @@ def house_graph(): return adjacency + adjacency.T -def karate_club_graph(): +def karate_club(): """ Zachary's Karate Club Graph @@ -236,7 +236,7 @@ def karate_club_graph(): return adjacency + adjacency.T -def rock_paper_scissors_graph(): +def rock_paper_scissors(): """ A toy directed cycle graph from Rock Paper Scissors victory rule. @@ -252,7 +252,7 @@ def rock_paper_scissors_graph(): return sparse.csr_matrix(np.array([[0, 1, 0], [0, 0, 1], [1, 0, 0]])) -def star_wars_villains_graph(return_labels: bool = False): +def star_wars_villains(return_labels: bool = False): """ Bipartite graph connecting some Star Wars villains to the movies in which they appear.\n 7 nodes (4 villains, 3 movies), 8 edges @@ -279,7 +279,7 @@ def star_wars_villains_graph(return_labels: bool = False): return biadjacency -def movie_actor_graph(return_labels: bool = False): +def movie_actor(return_labels: bool = False): """ Bipartite graph connecting movies to some actors starring in them.\n 31 nodes (15 movies, 16 actors), 41 edges @@ -362,7 +362,7 @@ def movie_actor_graph(return_labels: bool = False): return biadjacency -def painters_graph(return_labels: bool = False): +def painters(return_labels: bool = False): """ Directed graph of top painters with links on Wikipedia. diff --git a/sknetwork/toy_graphs/tests/test_graph_imports.py b/sknetwork/toy_graphs/tests/test_graph_imports.py index 53e4a595a..307ed36ff 100644 --- a/sknetwork/toy_graphs/tests/test_graph_imports.py +++ b/sknetwork/toy_graphs/tests/test_graph_imports.py @@ -3,8 +3,8 @@ # authors: Quentin Lutz , Nathan de Lara import unittest -from sknetwork.toy_graphs.graph_data import karate_club_graph, star_wars_villains_graph, \ - movie_actor_graph, painters_graph +from sknetwork.toy_graphs.graph_data import karate_club, star_wars_villains, \ + movie_actor, painters class TestGraphImport(unittest.TestCase): @@ -13,14 +13,14 @@ def setUp(self): pass def test_available(self): - adjacency = karate_club_graph() + adjacency = karate_club() self.assertEqual(adjacency.shape[0], 34) - biadjacency = star_wars_villains_graph() + biadjacency = star_wars_villains() self.assertEqual(biadjacency.shape, (4, 3)) - biadjacency = movie_actor_graph() + biadjacency = movie_actor() self.assertEqual(biadjacency.shape, (15, 16)) - adjacency = painters_graph() + adjacency = painters() self.assertEqual(adjacency.shape[0], 14) diff --git a/sknetwork/utils/tests/test_formats.py b/sknetwork/utils/tests/test_formats.py index 3b3de8076..96753d137 100644 --- a/sknetwork/utils/tests/test_formats.py +++ b/sknetwork/utils/tests/test_formats.py @@ -4,7 +4,7 @@ import unittest -from sknetwork.toy_graphs import star_wars_villains_graph, rock_paper_scissors_graph, house_graph +from sknetwork.toy_graphs import star_wars_villains, rock_paper_scissors, house from sknetwork.utils.adjacency_formats import * from sknetwork.utils.checks import is_symmetric @@ -12,9 +12,9 @@ class TestFormats(unittest.TestCase): def setUp(self): - self.adjacency = rock_paper_scissors_graph() - self.biadjacency = star_wars_villains_graph(return_labels=False) - self.house = house_graph() + self.adjacency = rock_paper_scissors() + self.biadjacency = star_wars_villains(return_labels=False) + self.house = house() def test_dir2undir(self): undirected_graph = directed2undirected(self.adjacency) From e38702e6e0a85605993042c78d0bb5d9e8fbd9f6 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 15:46:55 +0200 Subject: [PATCH 60/92] Name of toy graphs --- docs/reference/toy_graphs.rst | 16 ++++++++-------- sknetwork/clustering/tests/test_bilouvain.py | 4 ++-- sknetwork/clustering/tests/test_louvain.py | 8 ++++---- sknetwork/clustering/tests/test_metrics.py | 4 ++-- sknetwork/embedding/gsvd.py | 4 ++-- sknetwork/embedding/spectral.py | 6 +++--- sknetwork/embedding/tests/test_metrics.py | 4 ++-- sknetwork/hierarchy/paris.py | 4 ++-- sknetwork/hierarchy/tests/test_metrics.py | 8 ++++---- sknetwork/hierarchy/tests/test_paris.py | 6 +++--- sknetwork/linalg/tests/test_eig.py | 4 ++-- sknetwork/linalg/tests/test_sparse_lowrank.py | 8 ++++---- sknetwork/linalg/tests/test_svd.py | 4 ++-- sknetwork/ranking/pagerank.py | 4 ++-- sknetwork/ranking/tests/test_pagerank.py | 4 ++-- sknetwork/toy_graphs/graph_data.py | 16 ++++++++-------- sknetwork/toy_graphs/tests/test_graph_imports.py | 12 ++++++------ sknetwork/utils/tests/test_formats.py | 8 ++++---- 18 files changed, 62 insertions(+), 62 deletions(-) diff --git a/docs/reference/toy_graphs.rst b/docs/reference/toy_graphs.rst index 02d98ca46..c9775caf4 100644 --- a/docs/reference/toy_graphs.rst +++ b/docs/reference/toy_graphs.rst @@ -8,26 +8,26 @@ Toy graphs Undirected graphs ================= -.. autofunction:: sknetwork.toy_graphs.bow_tie_graph +.. autofunction:: sknetwork.toy_graphs.bow_tie -.. autofunction:: sknetwork.toy_graphs.house_graph +.. autofunction:: sknetwork.toy_graphs.house -.. autofunction:: sknetwork.toy_graphs.karate_club_graph +.. autofunction:: sknetwork.toy_graphs.karate_club -.. autofunction:: sknetwork.toy_graphs.miserables_graph +.. autofunction:: sknetwork.toy_graphs.miserables Directed graphs =============== -.. autofunction:: sknetwork.toy_graphs.painters_graph +.. autofunction:: sknetwork.toy_graphs.painters -.. autofunction:: sknetwork.toy_graphs.rock_paper_scissors_graph +.. autofunction:: sknetwork.toy_graphs.rock_paper_scissors Bipartite graphs ================ -.. autofunction:: sknetwork.toy_graphs.movie_actor_graph +.. autofunction:: sknetwork.toy_graphs.movie_actor -.. autofunction:: sknetwork.toy_graphs.star_wars_villains_graph +.. autofunction:: sknetwork.toy_graphs.star_wars_villains diff --git a/sknetwork/clustering/tests/test_bilouvain.py b/sknetwork/clustering/tests/test_bilouvain.py index c02984575..3ac7cabbc 100644 --- a/sknetwork/clustering/tests/test_bilouvain.py +++ b/sknetwork/clustering/tests/test_bilouvain.py @@ -5,7 +5,7 @@ import unittest from sknetwork.clustering import BiLouvain -from sknetwork.toy_graphs import star_wars_villains_graph +from sknetwork.toy_graphs import star_wars_villains from sknetwork import is_numba_available @@ -21,7 +21,7 @@ def setUp(self): BiLouvain(engine='numba') self.biouvain_null_resolution = BiLouvain(resolution=0., verbose=False) - self.star_wars_graph = star_wars_villains_graph() + self.star_wars_graph = star_wars_villains() def test_star_wars_graph(self): labels = self.bilouvain.fit(self.star_wars_graph).labels_ diff --git a/sknetwork/clustering/tests/test_louvain.py b/sknetwork/clustering/tests/test_louvain.py index e9b185220..ac65462aa 100644 --- a/sknetwork/clustering/tests/test_louvain.py +++ b/sknetwork/clustering/tests/test_louvain.py @@ -5,7 +5,7 @@ import unittest from sknetwork.clustering import Louvain, GreedyModularity, modularity -from sknetwork.toy_graphs import karate_club_graph, bow_tie_graph, painters_graph +from sknetwork.toy_graphs import karate_club, bow_tie, painters from scipy.sparse import identity from sknetwork import is_numba_available @@ -23,9 +23,9 @@ def setUp(self): Louvain(GreedyModularity(engine='numba')) self.louvain_shuffle_first = Louvain(GreedyModularity(engine='python'), shuffle_nodes=True, random_state=0) self.louvain_shuffle_second = Louvain(GreedyModularity(engine='python'), shuffle_nodes=True, random_state=123) - self.karate_club_graph = karate_club_graph() - self.bow_tie_graph = bow_tie_graph() - self.painters_graph = painters_graph(return_labels=False) + self.karate_club_graph = karate_club() + self.bow_tie_graph = bow_tie() + self.painters_graph = painters(return_labels=False) def test_unknown_types(self): with self.assertRaises(TypeError): diff --git a/sknetwork/clustering/tests/test_metrics.py b/sknetwork/clustering/tests/test_metrics.py index 82f6ab38f..3cd01242c 100644 --- a/sknetwork/clustering/tests/test_metrics.py +++ b/sknetwork/clustering/tests/test_metrics.py @@ -6,7 +6,7 @@ import numpy as np from scipy import sparse from sknetwork.clustering import modularity, cocitation_modularity, bimodularity -from sknetwork.toy_graphs import star_wars_villains_graph +from sknetwork.toy_graphs import star_wars_villains class TestClusteringMetrics(unittest.TestCase): @@ -16,7 +16,7 @@ def setUp(self): [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0]])) - self.star_wars_graph = star_wars_villains_graph() + self.star_wars_graph = star_wars_villains() self.labels = np.array([0, 1, 0, 0]) self.unique_cluster = np.zeros(4, dtype=int) diff --git a/sknetwork/embedding/gsvd.py b/sknetwork/embedding/gsvd.py index 770e11cc2..f7eb40418 100755 --- a/sknetwork/embedding/gsvd.py +++ b/sknetwork/embedding/gsvd.py @@ -42,8 +42,8 @@ class GSVD(Algorithm): Example ------- - >>> from sknetwork.toy_graphs import movie_actor_graph - >>> adjacency = movie_actor_graph() + >>> from sknetwork.toy_graphs import movie_actor + >>> adjacency = movie_actor() >>> gsvd = GSVD(embedding_dimension=2) >>> gsvd.fit(adjacency) GSVD(embedding_dimension=2, weights='degree', regularization=0.01, energy_scaling=True, solver=LanczosSVD()) diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index 1fc8d3d4c..d2ca52214 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -54,12 +54,12 @@ class Spectral(Algorithm): Example ------- - >>> from sknetwork.toy_graphs import karate_club_graph - >>> adjacency = karate_club_graph() + >>> from sknetwork.toy_graphs import karate_club + >>> adjacency = karate_club() >>> spectral = Spectral(embedding_dimension=2) >>> spectral.fit(adjacency) Spectral(embedding_dimension=2, normalized_laplacian=True, regularization=0.01, energy_scaling=True,\ -force_biadjacency=False, solver=LanczosEig(which='SM')) + force_biadjacency=False, solver=LanczosEig(which='SM')) >>> spectral.embedding_.shape (34, 2) diff --git a/sknetwork/embedding/tests/test_metrics.py b/sknetwork/embedding/tests/test_metrics.py index 6821cc2aa..691cc91d7 100644 --- a/sknetwork/embedding/tests/test_metrics.py +++ b/sknetwork/embedding/tests/test_metrics.py @@ -6,7 +6,7 @@ import numpy as np from scipy import sparse from sknetwork.embedding.metrics import dot_modularity, hscore, linear_fit -from sknetwork.toy_graphs import star_wars_villains_graph +from sknetwork.toy_graphs import star_wars_villains class TestClusteringMetrics(unittest.TestCase): @@ -16,7 +16,7 @@ def setUp(self): [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0]])) - self.bipartite = star_wars_villains_graph() + self.bipartite = star_wars_villains() self.embedding = np.ones((4, 2)) self.features = np.ones((3, 2)) diff --git a/sknetwork/hierarchy/paris.py b/sknetwork/hierarchy/paris.py index 1cd26aa8d..3ed4e24fd 100644 --- a/sknetwork/hierarchy/paris.py +++ b/sknetwork/hierarchy/paris.py @@ -291,8 +291,8 @@ class Paris(Algorithm): Examples -------- - >>> from sknetwork.toy_graphs import house_graph - >>> adjacency = house_graph() + >>> from sknetwork.toy_graphs import house + >>> adjacency = house() >>> paris = Paris('python') >>> paris.fit(adjacency) Paris(engine='python') diff --git a/sknetwork/hierarchy/tests/test_metrics.py b/sknetwork/hierarchy/tests/test_metrics.py index 9856a6099..eec319ca4 100644 --- a/sknetwork/hierarchy/tests/test_metrics.py +++ b/sknetwork/hierarchy/tests/test_metrics.py @@ -7,17 +7,17 @@ import unittest from sknetwork.hierarchy import Paris, tree_sampling_divergence, dasgupta_cost -from sknetwork.toy_graphs import karate_club_graph +from sknetwork.toy_graphs import karate_club class TestMetrics(unittest.TestCase): def setUp(self): self.paris = Paris() - self.karate_club_graph = karate_club_graph() + self.karate_club = karate_club() - def test_karate_club_graph(self): - adjacency = self.karate_club_graph + def test_undirected(self): + adjacency = self.karate_club dendrogram = self.paris.fit(adjacency).dendrogram_ tsd = tree_sampling_divergence(adjacency, dendrogram, normalized=True) self.assertAlmostEqual(tsd, .65, 2) diff --git a/sknetwork/hierarchy/tests/test_paris.py b/sknetwork/hierarchy/tests/test_paris.py index d98ff463e..fac54d77f 100644 --- a/sknetwork/hierarchy/tests/test_paris.py +++ b/sknetwork/hierarchy/tests/test_paris.py @@ -10,7 +10,7 @@ import numpy as np from scipy.sparse import identity from sknetwork.hierarchy import Paris, straight_cut -from sknetwork.toy_graphs import house_graph, karate_club_graph +from sknetwork.toy_graphs import house, karate_club from sknetwork import is_numba_available @@ -18,8 +18,8 @@ class TestParis(unittest.TestCase): def setUp(self): self.paris_python = Paris(engine='python') - self.house_graph = house_graph() - self.karate_club_graph = karate_club_graph() + self.house_graph = house() + self.karate_club_graph = karate_club() if is_numba_available: self.paris_numba = Paris(engine='numba') else: diff --git a/sknetwork/linalg/tests/test_eig.py b/sknetwork/linalg/tests/test_eig.py index 48f6f819e..fd6cf8775 100644 --- a/sknetwork/linalg/tests/test_eig.py +++ b/sknetwork/linalg/tests/test_eig.py @@ -5,13 +5,13 @@ import unittest import numpy as np from sknetwork.linalg import LanczosEig, HalkoEig, SparseLR -from sknetwork.toy_graphs import house_graph +from sknetwork.toy_graphs import house class TestSolvers(unittest.TestCase): def setUp(self): - self.adjacency = house_graph() + self.adjacency = house() n, m = self.adjacency.shape self.slr = SparseLR(self.adjacency, [(np.ones(n), np.ones(m))]) diff --git a/sknetwork/linalg/tests/test_sparse_lowrank.py b/sknetwork/linalg/tests/test_sparse_lowrank.py index e2b117c21..8b99170b5 100644 --- a/sknetwork/linalg/tests/test_sparse_lowrank.py +++ b/sknetwork/linalg/tests/test_sparse_lowrank.py @@ -5,7 +5,7 @@ import unittest import numpy as np from scipy import sparse -from sknetwork.toy_graphs import house_graph, star_wars_villains_graph +from sknetwork.toy_graphs import house, star_wars_villains from sknetwork.linalg.sparse_lowrank import SparseLR from sknetwork.linalg.randomized_matrix_factorization import randomized_svd, randomized_eig @@ -13,12 +13,12 @@ class TestSparseLowRank(unittest.TestCase): def setUp(self): - self.undirected = SparseLR(house_graph(), [(np.ones(5), np.ones(5))]) - self.bipartite = SparseLR(star_wars_villains_graph(), [(np.ones(4), np.ones(3))]) + self.undirected = SparseLR(house(), [(np.ones(5), np.ones(5))]) + self.bipartite = SparseLR(star_wars_villains(), [(np.ones(4), np.ones(3))]) def test_addition(self): addition = self.undirected + self.undirected - expected = SparseLR(2 * house_graph(), [(np.ones(5), 2 * np.ones(5))]) + expected = SparseLR(2 * house(), [(np.ones(5), 2 * np.ones(5))]) err: sparse.csr_matrix = (addition.sparse_mat != expected.sparse_mat) self.assertEqual(err.nnz, 0) random_vector = np.random.rand(5) diff --git a/sknetwork/linalg/tests/test_svd.py b/sknetwork/linalg/tests/test_svd.py index 7a5157e8e..456434b50 100644 --- a/sknetwork/linalg/tests/test_svd.py +++ b/sknetwork/linalg/tests/test_svd.py @@ -5,13 +5,13 @@ import unittest import numpy as np from sknetwork.linalg import LanczosSVD, HalkoSVD, SparseLR -from sknetwork.toy_graphs import movie_actor_graph +from sknetwork.toy_graphs import movie_actor class TestSolvers(unittest.TestCase): def setUp(self): - self.biadjacency = movie_actor_graph() + self.biadjacency = movie_actor() n, m = self.biadjacency.shape self.slr = SparseLR(self.biadjacency, [(np.ones(n), np.ones(m))]) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 9bd61c108..b341f8b74 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -69,9 +69,9 @@ class PageRank(Algorithm): Example ------- - >>> from sknetwork.toy_graphs import rock_paper_scissors_graph + >>> from sknetwork.toy_graphs import rock_paper_scissors >>> pagerank = PageRank() - >>> adjacency = rock_paper_scissors_graph() + >>> adjacency = rock_paper_scissors() >>> pagerank.fit(adjacency) PageRank(damping_factor=0.85, method='diter', n_iter=25) >>> np.round(pagerank.ranking_, 2) diff --git a/sknetwork/ranking/tests/test_pagerank.py b/sknetwork/ranking/tests/test_pagerank.py index b57572df5..83d293ab0 100644 --- a/sknetwork/ranking/tests/test_pagerank.py +++ b/sknetwork/ranking/tests/test_pagerank.py @@ -5,14 +5,14 @@ import unittest import numpy as np -from sknetwork.toy_graphs import rock_paper_scissors_graph +from sknetwork.toy_graphs import rock_paper_scissors from sknetwork.ranking.pagerank import PageRank class TestPageRank(unittest.TestCase): def setUp(self): - self.adjacency = rock_paper_scissors_graph() + self.adjacency = rock_paper_scissors() self.spectral_ranking = PageRank(method='spectral') self.no_damping_spectral_ranking = PageRank(damping_factor=0., method='spectral') self.diter_ranking = PageRank() diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index 12f151f57..a497a5c53 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -11,7 +11,7 @@ from scipy import sparse -def miserables_graph(return_labels=False): +def miserables(return_labels=False): """ Co-occurrence graph of the characters in Les Miserables (by Victor Hugo). @@ -173,7 +173,7 @@ def miserables_graph(return_labels=False): return adjacency -def bow_tie_graph(): +def bow_tie(): """ Bow tie graph @@ -190,7 +190,7 @@ def bow_tie_graph(): return adjacency -def house_graph(): +def house(): """ House graph @@ -207,7 +207,7 @@ def house_graph(): return adjacency + adjacency.T -def karate_club_graph(): +def karate_club(): """ Zachary's Karate Club Graph @@ -236,7 +236,7 @@ def karate_club_graph(): return adjacency + adjacency.T -def rock_paper_scissors_graph(): +def rock_paper_scissors(): """ A toy directed cycle graph from Rock Paper Scissors victory rule. @@ -252,7 +252,7 @@ def rock_paper_scissors_graph(): return sparse.csr_matrix(np.array([[0, 1, 0], [0, 0, 1], [1, 0, 0]])) -def star_wars_villains_graph(return_labels: bool = False): +def star_wars_villains(return_labels: bool = False): """ Bipartite graph connecting some Star Wars villains to the movies in which they appear.\n 7 nodes (4 villains, 3 movies), 8 edges @@ -279,7 +279,7 @@ def star_wars_villains_graph(return_labels: bool = False): return biadjacency -def movie_actor_graph(return_labels: bool = False): +def movie_actor(return_labels: bool = False): """ Bipartite graph connecting movies to some actors starring in them.\n 31 nodes (15 movies, 16 actors), 41 edges @@ -362,7 +362,7 @@ def movie_actor_graph(return_labels: bool = False): return biadjacency -def painters_graph(return_labels: bool = False): +def painters(return_labels: bool = False): """ Directed graph of top painters with links on Wikipedia. diff --git a/sknetwork/toy_graphs/tests/test_graph_imports.py b/sknetwork/toy_graphs/tests/test_graph_imports.py index 53e4a595a..307ed36ff 100644 --- a/sknetwork/toy_graphs/tests/test_graph_imports.py +++ b/sknetwork/toy_graphs/tests/test_graph_imports.py @@ -3,8 +3,8 @@ # authors: Quentin Lutz , Nathan de Lara import unittest -from sknetwork.toy_graphs.graph_data import karate_club_graph, star_wars_villains_graph, \ - movie_actor_graph, painters_graph +from sknetwork.toy_graphs.graph_data import karate_club, star_wars_villains, \ + movie_actor, painters class TestGraphImport(unittest.TestCase): @@ -13,14 +13,14 @@ def setUp(self): pass def test_available(self): - adjacency = karate_club_graph() + adjacency = karate_club() self.assertEqual(adjacency.shape[0], 34) - biadjacency = star_wars_villains_graph() + biadjacency = star_wars_villains() self.assertEqual(biadjacency.shape, (4, 3)) - biadjacency = movie_actor_graph() + biadjacency = movie_actor() self.assertEqual(biadjacency.shape, (15, 16)) - adjacency = painters_graph() + adjacency = painters() self.assertEqual(adjacency.shape[0], 14) diff --git a/sknetwork/utils/tests/test_formats.py b/sknetwork/utils/tests/test_formats.py index 3b3de8076..96753d137 100644 --- a/sknetwork/utils/tests/test_formats.py +++ b/sknetwork/utils/tests/test_formats.py @@ -4,7 +4,7 @@ import unittest -from sknetwork.toy_graphs import star_wars_villains_graph, rock_paper_scissors_graph, house_graph +from sknetwork.toy_graphs import star_wars_villains, rock_paper_scissors, house from sknetwork.utils.adjacency_formats import * from sknetwork.utils.checks import is_symmetric @@ -12,9 +12,9 @@ class TestFormats(unittest.TestCase): def setUp(self): - self.adjacency = rock_paper_scissors_graph() - self.biadjacency = star_wars_villains_graph(return_labels=False) - self.house = house_graph() + self.adjacency = rock_paper_scissors() + self.biadjacency = star_wars_villains(return_labels=False) + self.house = house() def test_dir2undir(self): undirected_graph = directed2undirected(self.adjacency) From d456c0a88552ff219b09520f94fe80ea9b9576cd Mon Sep 17 00:00:00 2001 From: Quentin L Date: Mon, 15 Jul 2019 16:20:07 +0200 Subject: [PATCH 61/92] Corrected docstring indentation level --- sknetwork/hierarchy/metrics.py | 86 +++++++++++++++++----------------- 1 file changed, 43 insertions(+), 43 deletions(-) diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index 8e7c4ec82..095c3d079 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -14,27 +14,27 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, """ Dasgupta's cost of a hierarchy (cost metric). - Parameters - ---------- - adjacency : - Adjacency matrix of the graph. - dendrogram : - Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster - weights : - Vector of node weights. Default = 'uniform', weight 1 for each node. - normalized: - If true, normalized by the number of nodes of the graph. - - Returns - ------- - cost : float - Dasgupta's cost of the hierarchy. - Normalized by the number of nodes to get a value between 0 and 1. - - References - ---------- - S. Dasgupta (2016). A cost function for similarity-based hierarchical clustering. - Proceedings of ACM symposium on Theory of Computing. + Parameters + ---------- + adjacency : + Adjacency matrix of the graph. + dendrogram : + Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster + weights : + Vector of node weights. Default = 'uniform', weight 1 for each node. + normalized: + If true, normalized by the number of nodes of the graph. + + Returns + ------- + cost : float + Dasgupta's cost of the hierarchy. + Normalized by the number of nodes to get a value between 0 and 1. + + References + ---------- + S. Dasgupta (2016). A cost function for similarity-based hierarchical clustering. + Proceedings of ACM symposium on Theory of Computing. """ adjacency = check_format(adjacency) @@ -80,28 +80,28 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra """ Tree sampling divergence of a hierarchy (quality metric). - Parameters - ---------- - adjacency : - Adjacency matrix of the graph. - dendrogram : - Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster - weights : - Vector of node weights. Default = 'degree', weight of each node in the adjacency. - normalized: - If true, normalized by the mutual information of the graph. - - Returns - ------- - quality : float - The tree sampling divergence of the hierarchy (quality metric). - Normalized by the mutual information to get a value between 0 and 1. - - References - ---------- - Charpentier, B. & Bonald, T. (2019). Tree Sampling Divergence: An Information-Theoretic Metric for - Hierarchical Graph Clustering. Proceedings of IJCAI. - https://hal.telecom-paristech.fr/hal-02144394/document + Parameters + ---------- + adjacency : + Adjacency matrix of the graph. + dendrogram : + Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster + weights : + Vector of node weights. Default = 'degree', weight of each node in the adjacency. + normalized: + If true, normalized by the mutual information of the graph. + + Returns + ------- + quality : float + The tree sampling divergence of the hierarchy (quality metric). + Normalized by the mutual information to get a value between 0 and 1. + + References + ---------- + Charpentier, B. & Bonald, T. (2019). Tree Sampling Divergence: An Information-Theoretic Metric for + Hierarchical Graph Clustering. Proceedings of IJCAI. + https://hal.telecom-paristech.fr/hal-02144394/document """ adjacency = check_format(adjacency) From d1050de0e888049e44d14f9c48267877fad9bf0c Mon Sep 17 00:00:00 2001 From: Quentin L Date: Mon, 15 Jul 2019 16:24:22 +0200 Subject: [PATCH 62/92] Hot fix --- sknetwork/hierarchy/tests/test_metrics.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/sknetwork/hierarchy/tests/test_metrics.py b/sknetwork/hierarchy/tests/test_metrics.py index 0b607ffe4..eec319ca4 100644 --- a/sknetwork/hierarchy/tests/test_metrics.py +++ b/sknetwork/hierarchy/tests/test_metrics.py @@ -14,11 +14,7 @@ class TestMetrics(unittest.TestCase): def setUp(self): self.paris = Paris() -<<<<<<< HEAD self.karate_club = karate_club() -======= - self.karate_club_graph = karate_club() ->>>>>>> develop def test_undirected(self): adjacency = self.karate_club From fa1e5fcc57762cb3105e14f47a2baaa774d0c7e6 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 16:44:14 +0200 Subject: [PATCH 63/92] Auto stash before merge of "develop" and "origin/develop" --- docs/reference/hierarchy.rst | 10 ++--- sknetwork/embedding/spectral.py | 15 ++++---- sknetwork/hierarchy/metrics.py | 37 +++++++++++++++++++ sknetwork/linalg/eig.py | 20 ++++++---- .../linalg/randomized_matrix_factorization.py | 18 ++++----- sknetwork/linalg/sparse_lowrank.py | 8 ++-- 6 files changed, 75 insertions(+), 33 deletions(-) diff --git a/docs/reference/hierarchy.rst b/docs/reference/hierarchy.rst index 7eae16ea1..3a7fd249a 100644 --- a/docs/reference/hierarchy.rst +++ b/docs/reference/hierarchy.rst @@ -5,18 +5,16 @@ Hierarchical clustering .. currentmodule:: sknetwork -This submodule contains embedding algorithms, characterized by their ``.dendrogram_`` attribute. +This module contains hierarchical clustering algorithms. The attribute ``.dendrogram_`` contains the dendrogram. -A dendrogram is an :math:`(n-1) \times 4` array ``Z`` representing the successive merges of clusters i.e. -clsuters with indices ``Z[i, 0]`` and ``Z[i, 1]`` which are at distance ``Z[i, 2]`` are merged into cluster :math:`n+i` -which contains ``Z[i, 3]`` samples. +A dendrogram is an :math:`(n-1) \times 4` array ``Z`` representing the successive merges of clusters, i.e., +clusters of indices ``Z[i, 0]`` and ``Z[i, 1]``, which are at distance ``Z[i, 2]``, are merged into cluster of index +:math:`n+i`, which contains ``Z[i, 3]`` nodes. Paris algorithm --------------- .. automodule:: sknetwork.hierarchy -.. autosummary:: - :toctree: generated/ .. autoclass:: sknetwork.hierarchy.Paris :members: diff --git a/sknetwork/embedding/spectral.py b/sknetwork/embedding/spectral.py index d2ca52214..3fab2bf4b 100644 --- a/sknetwork/embedding/spectral.py +++ b/sknetwork/embedding/spectral.py @@ -31,17 +31,18 @@ class Spectral(Algorithm): regularization : ``None`` or float (default=0.01) Implicitly add edges of given weight between all pairs of nodes. energy_scaling : bool (default=True) - If ``True``, rescales each column of the embedding by dividing it by :math:`\\sqrt{\\lambda_i}`. - Only valid if ``node_weights == 'degree'``. + If ``True``, rescales each column of the embedding by dividing it by the square-root of the corresponding + eigenvalue. Only valid if ``node_weights == 'degree'``. force_biadjacency : bool (default=False) Only relevant for symmetric inputs. Force the algorithm to treat the adjacency as a biadjacency as it would do for asymmetric inputs. solver: 'auto', 'halko', 'lanczos' or EigSolver object Which eigenvalue solver to use - * 'auto' calls the auto_solver function - * 'halko': randomized method, fast but less accurate than 'lanczos' for ill-conditioned matrices - * 'lanczos': power-iteration based method - * custom: the user must provide an EigSolver object. + + * ``'auto'`` calls the auto_solver function + * ``'halko'``: randomized method, fast but less accurate than 'lanczos' for ill-conditioned matrices + * ``'lanczos'``: power-iteration based method + * ``custom``: the user must provide an EigSolver object. Attributes ---------- @@ -65,7 +66,7 @@ class Spectral(Algorithm): References ---------- - * Belkin, M. & Niyogi, P. (2003). Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, + Belkin, M. & Niyogi, P. (2003). Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, Neural computation. """ diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index 095c3d079..6f6eed546 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -17,6 +17,7 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, Parameters ---------- adjacency : +<<<<<<< Updated upstream Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster @@ -36,6 +37,26 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, S. Dasgupta (2016). A cost function for similarity-based hierarchical clustering. Proceedings of ACM symposium on Theory of Computing. +======= + Adjacency matrix of the graph. + dendrogram : + Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster + weights : + Vector of node weights. Default = ``'uniform'``, weight 1 for each node. + normalized : + If ``True``, normalized by the number of nodes of the graph. + + Returns + ------- + cost : + Dasgupta's cost of the hierarchy. + Normalized by the number of nodes to get a value between 0 and 1. + + References + ---------- + Dasgupta, S. (2016). A cost function for similarity-based hierarchical clustering. + Proceedings of ACM symposium on Theory of Computing. +>>>>>>> Stashed changes """ adjacency = check_format(adjacency) @@ -83,6 +104,7 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra Parameters ---------- adjacency : +<<<<<<< Updated upstream Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster @@ -96,6 +118,21 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra quality : float The tree sampling divergence of the hierarchy (quality metric). Normalized by the mutual information to get a value between 0 and 1. +======= + Adjacency matrix of the graph. + dendrogram : + Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster + weights : + Vector of node weights. Default = ``'degree'``, weight of each node in the adjacency. + normalized : + If ``True``, normalized by the mutual information of the graph. + + Returns + ------- + quality : + The tree sampling divergence of the hierarchy (quality metric). + Normalized by the mutual information to get a value between 0 and 1. +>>>>>>> Stashed changes References ---------- diff --git a/sknetwork/linalg/eig.py b/sknetwork/linalg/eig.py index 0cfa87c0f..330498517 100644 --- a/sknetwork/linalg/eig.py +++ b/sknetwork/linalg/eig.py @@ -23,8 +23,9 @@ class EigSolver(Algorithm): ---------- which: str Which eigenvectors and eigenvalues to find: - * ‘LM’ : Largest (in magnitude) eigenvalues. - * ‘SM’ : Smallest (in magnitude) eigenvalues. + + * ``'LM'`` : Largest (in magnitude) eigenvalues. + * ``'SM'` : Smallest (in magnitude) eigenvalues. Attributes ---------- @@ -66,8 +67,9 @@ class LanczosEig(EigSolver): ---------- which: str Which eigenvectors and eigenvalues to find: - * ‘LM’ : Largest (in magnitude) eigenvalues. - * ‘SM’ : Smallest (in magnitude) eigenvalues. + + * ``'LM'`` : Largest (in magnitude) eigenvalues. + * ``'SM'`` : Smallest (in magnitude) eigenvalues. Attributes ---------- @@ -115,8 +117,10 @@ class HalkoEig(EigSolver): ---------- which: str Which eigenvectors and eigenvalues to find: - * ‘LM’ : Largest (in magnitude) eigenvalues. - * ‘SM’ : Smallest (in magnitude) eigenvalues. + + * ``'LM'`` : Largest (in magnitude) eigenvalues. + * ``'SM'`` : Smallest (in magnitude) eigenvalues. + n_oversamples : int (default=10) Additional number of random vectors to sample the range of ``matrix`` so as to ensure proper conditioning. The total number of random vectors @@ -148,9 +152,9 @@ def fit(self, matrix: Union[sparse.csr_matrix, sparse.linalg.LinearOperator, Spa Parameters ---------- - matrix: + matrix : Matrix to decompose. - n_components + n_components : Number of eigenvectors to compute Returns diff --git a/sknetwork/linalg/randomized_matrix_factorization.py b/sknetwork/linalg/randomized_matrix_factorization.py index b742a92e3..a28cda88b 100644 --- a/sknetwork/linalg/randomized_matrix_factorization.py +++ b/sknetwork/linalg/randomized_matrix_factorization.py @@ -13,7 +13,7 @@ from typing import Union -def safe_sparse_dot(a, b, dense_output=False): +def safe_sparse_dot(a, b, dense_output: bool = False): """ Dot product that handle the sparse matrix case correctly Uses BLAS GEMM as replacement for numpy.dot where possible @@ -22,7 +22,7 @@ def safe_sparse_dot(a, b, dense_output=False): ---------- a : array or sparse matrix b : array or sparse matrix - dense_output : boolean, default False + dense_output : When False, either ``a`` or ``b`` being sparse will yield sparse output. When True, output will always be an array. Returns @@ -49,17 +49,17 @@ def safe_sparse_dot(a, b, dense_output=False): return np.dot(a, b) -def randomized_range_finder(matrix, size, n_iter, power_iteration_normalizer='auto', random_state=None, - return_all: bool = False) -> [np.ndarray, tuple]: - """Computes an orthonormal matrix whose range approximates the range of A. +def randomized_range_finder(matrix: np.ndarray, size: int, n_iter: int, power_iteration_normalizer='auto', + random_state=None, return_all: bool = False) -> [np.ndarray, tuple]: + """Computes an orthonormal matrix whose range approximates the range of the input matrix. Parameters ---------- - matrix : two dimensional array - The input data matrix - size : integer + matrix : + Input matrix + size : Size of the return array - n_iter : int + n_iter : Number of power iterations. It can be used to deal with very noisy problems. When 'auto', it is set to 4, unless ``size`` is small (< .1 * min(matrix.shape)) in which case ``n_iter`` is set to 7. diff --git a/sknetwork/linalg/sparse_lowrank.py b/sknetwork/linalg/sparse_lowrank.py index ecc8bc7ca..8f12bc142 100644 --- a/sknetwork/linalg/sparse_lowrank.py +++ b/sknetwork/linalg/sparse_lowrank.py @@ -12,7 +12,10 @@ class SparseLR(LinearOperator): - """Class for matrices with "sparse + low rank" structure. Ex: A + xy^T. + """Class for matrices with "sparse + low rank" structure. + Example: + + :math:`A + xy^T` Parameters ---------- @@ -20,8 +23,7 @@ class SparseLR(LinearOperator): sparse component. Is converted to csr format automatically. low_rank_tuples: list list of tuple of arrays representing the low rank components [(x1, y1), (x2, y2),...]. - Each low rank component is of the form xy^T. - + Each low rank component is of the form :math:`xy^T`. """ def __init__(self, sparse_mat: Union[sparse.csr_matrix, sparse.csc_matrix], low_rank_tuples: list): From b65824ea803ab080bbbcc1095f0c84c0da03efd2 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 16:45:10 +0200 Subject: [PATCH 64/92] Auto stash before merge of "develop" and "origin/develop" --- sknetwork/hierarchy/metrics.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index 6f6eed546..d030ace2e 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -17,6 +17,7 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, Parameters ---------- adjacency : +<<<<<<< Updated upstream <<<<<<< Updated upstream Adjacency matrix of the graph. dendrogram : @@ -38,6 +39,8 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, Proceedings of ACM symposium on Theory of Computing. ======= +======= +>>>>>>> Stashed changes Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster @@ -56,6 +59,9 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, ---------- Dasgupta, S. (2016). A cost function for similarity-based hierarchical clustering. Proceedings of ACM symposium on Theory of Computing. +<<<<<<< Updated upstream +>>>>>>> Stashed changes +======= >>>>>>> Stashed changes """ adjacency = check_format(adjacency) @@ -104,6 +110,7 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra Parameters ---------- adjacency : +<<<<<<< Updated upstream <<<<<<< Updated upstream Adjacency matrix of the graph. dendrogram : @@ -119,6 +126,8 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra The tree sampling divergence of the hierarchy (quality metric). Normalized by the mutual information to get a value between 0 and 1. ======= +======= +>>>>>>> Stashed changes Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster @@ -132,6 +141,9 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra quality : The tree sampling divergence of the hierarchy (quality metric). Normalized by the mutual information to get a value between 0 and 1. +<<<<<<< Updated upstream +>>>>>>> Stashed changes +======= >>>>>>> Stashed changes References From 804f71f82052a81607ac3fbf8a29c0f0ba71eaa0 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Mon, 15 Jul 2019 16:51:19 +0200 Subject: [PATCH 65/92] Hot fix --- sknetwork/hierarchy/metrics.py | 51 +--------------------------------- 1 file changed, 1 insertion(+), 50 deletions(-) diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index d030ace2e..d5f11efe0 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -17,8 +17,6 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, Parameters ---------- adjacency : -<<<<<<< Updated upstream -<<<<<<< Updated upstream Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster @@ -38,31 +36,6 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, S. Dasgupta (2016). A cost function for similarity-based hierarchical clustering. Proceedings of ACM symposium on Theory of Computing. -======= -======= ->>>>>>> Stashed changes - Adjacency matrix of the graph. - dendrogram : - Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster - weights : - Vector of node weights. Default = ``'uniform'``, weight 1 for each node. - normalized : - If ``True``, normalized by the number of nodes of the graph. - - Returns - ------- - cost : - Dasgupta's cost of the hierarchy. - Normalized by the number of nodes to get a value between 0 and 1. - - References - ---------- - Dasgupta, S. (2016). A cost function for similarity-based hierarchical clustering. - Proceedings of ACM symposium on Theory of Computing. -<<<<<<< Updated upstream ->>>>>>> Stashed changes -======= ->>>>>>> Stashed changes """ adjacency = check_format(adjacency) @@ -110,8 +83,6 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra Parameters ---------- adjacency : -<<<<<<< Updated upstream -<<<<<<< Updated upstream Adjacency matrix of the graph. dendrogram : Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster @@ -125,26 +96,6 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra quality : float The tree sampling divergence of the hierarchy (quality metric). Normalized by the mutual information to get a value between 0 and 1. -======= -======= ->>>>>>> Stashed changes - Adjacency matrix of the graph. - dendrogram : - Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster - weights : - Vector of node weights. Default = ``'degree'``, weight of each node in the adjacency. - normalized : - If ``True``, normalized by the mutual information of the graph. - - Returns - ------- - quality : - The tree sampling divergence of the hierarchy (quality metric). - Normalized by the mutual information to get a value between 0 and 1. -<<<<<<< Updated upstream ->>>>>>> Stashed changes -======= ->>>>>>> Stashed changes References ---------- @@ -187,7 +138,7 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra aggregate_graph.merge(node1, node2) index = np.where(edge_sampling)[0] - quality: float = np.sum(edge_sampling[index] * np.log(edge_sampling[index] / node_sampling[index])) + quality = float(np.sum(edge_sampling[index] * np.log(edge_sampling[index] / node_sampling[index]))) if normalized: inv_node_weights = sparse.diags(1 / node_probs, shape=(n_nodes, n_nodes), format='csr') sampling_ratio = inv_node_weights.dot(adjacency.dot(inv_node_weights)) / adjacency.data.sum() From af0a1c0838cd4c9239c64f6a2ff4940467f4bfc5 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 17:01:51 +0200 Subject: [PATCH 66/92] Remove comment from init.py --- sknetwork/embedding/__init__.py | 1 - sknetwork/linalg/__init__.py | 1 - 2 files changed, 2 deletions(-) diff --git a/sknetwork/embedding/__init__.py b/sknetwork/embedding/__init__.py index 307d21787..e73417ff5 100644 --- a/sknetwork/embedding/__init__.py +++ b/sknetwork/embedding/__init__.py @@ -1,4 +1,3 @@ -"""init file for embedding submodule""" from sknetwork.embedding.gsvd import GSVD from sknetwork.embedding.spectral import Spectral from sknetwork.embedding.metrics import linear_fit, dot_modularity, hscore diff --git a/sknetwork/linalg/__init__.py b/sknetwork/linalg/__init__.py index b1d84065b..310b386ae 100644 --- a/sknetwork/linalg/__init__.py +++ b/sknetwork/linalg/__init__.py @@ -1,4 +1,3 @@ -"""init file for linalg submodule""" from sknetwork.linalg.sparse_lowrank import SparseLR from sknetwork.linalg.auto_mode import auto_solver from sknetwork.linalg.eig import EigSolver, LanczosEig, HalkoEig From 5c61f6e748436ccd32e74b5d06915d7398ac833f Mon Sep 17 00:00:00 2001 From: Quentin L Date: Mon, 15 Jul 2019 17:10:24 +0200 Subject: [PATCH 67/92] Removed external reference to logo --- README.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.rst b/README.rst index 6267a4a70..0cd721cb2 100644 --- a/README.rst +++ b/README.rst @@ -1,4 +1,4 @@ -.. image:: https://perso.telecom-paristech.fr/bonald/logo_sknetwork.png +.. image:: ../images/logo_sknetwork.png :align: right :width: 100px :alt: logo sknetwork From b42ebfde3c2e987ec7236b166249fbd796838548 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Mon, 15 Jul 2019 17:10:24 +0200 Subject: [PATCH 68/92] Revert "Removed external reference to logo" This reverts commit 5c61f6e748436ccd32e74b5d06915d7398ac833f. --- README.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.rst b/README.rst index 0cd721cb2..6267a4a70 100644 --- a/README.rst +++ b/README.rst @@ -1,4 +1,4 @@ -.. image:: ../images/logo_sknetwork.png +.. image:: https://perso.telecom-paristech.fr/bonald/logo_sknetwork.png :align: right :width: 100px :alt: logo sknetwork From 595e4ec0a127c4af8de3cff59625d763292f6aff Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 17:19:59 +0200 Subject: [PATCH 69/92] PageRank Personalization as non-neg vector --- docs/reference/ranking.rst | 8 +++--- sknetwork/ranking/pagerank.py | 48 +++++++++++++++++------------------ sknetwork/utils/checks.py | 2 +- 3 files changed, 29 insertions(+), 29 deletions(-) diff --git a/docs/reference/ranking.rst b/docs/reference/ranking.rst index 843ac59b0..0e47d578b 100644 --- a/docs/reference/ranking.rst +++ b/docs/reference/ranking.rst @@ -5,10 +5,12 @@ Ranking .. currentmodule:: sknetwork -This submodule contains ranking algorithms, characterized by their ``.ranking_`` attribute which assigns an importance -score to each node in the graph. +This module contains ranking algorithms. The attribute ``.ranking_`` assigns an importance +score to each node of the graph. -Pagerank +PageRank -------- +.. automodule:: sknetwork.ranking + .. autoclass:: sknetwork.ranking.PageRank :members: diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index b341f8b74..579016859 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -8,7 +8,7 @@ import numpy as np from sknetwork import njit, prange -from sknetwork.utils.checks import check_format, is_proba_array, is_square +from sknetwork.utils.checks import check_format, has_nonnegative_entries, is_square from sknetwork.linalg.randomized_matrix_factorization import SparseLR, randomized_eig from sknetwork.utils.algorithm_base_class import Algorithm from scipy import sparse @@ -45,22 +45,21 @@ def diffusion(indptr, indices, data, flow_history, current_flow, damping_factor) class PageRank(Algorithm): """ - Assign to each node the probability for a random surfer to be on that node in a stationary - regime with teleportation. + Computes the PageRank of each node, corresponding to its frequency of visit by a random walk. - The set of nodes to which the random surfer teleports can be chosen by the user. This variant is referred to as - Personalized PageRank. + The random walk restarts with some fixed probability. The restart distribution can be personalized by the user. + This variant is known as Personalized PageRank. Parameters ---------- - damping_factor: float - Probability to jump according to the adjacency transition matrix in the random walk. - method: str - Specifies the used method. Must be 'diter' or 'spectral' - n_iter: int - Number of iterations if method is 'diter' - parallel: bool - Enable parallelization (Numba is required) + damping_factor : float + Probability to continue the random walk. + method : str + Computation method. Must be ``'diter'`` or ``'spectral'``. + n_iter : int + Number of iterations if method is ``'diter'``. + parallel : bool + Enables parallelization (Numba required). Attributes ---------- @@ -107,20 +106,19 @@ def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], personalization: Union[None, np.ndarray] = None) -> 'PageRank': - """Standard pagerank via matrix factorization or D-iteration. + """Standard PageRank via matrix factorization or D-iteration. Parameters ---------- - adjacency + adjacency : Adjacency matrix of the adjacency. - personalization + personalization : If ``None``, the uniform probability distribution over the nodes is used. - Otherwise, the user must provide a valid probability vector. - + Otherwise, the user must provide a non-negative vector. """ adjacency = check_format(adjacency) if not is_square(adjacency): - raise ValueError('Adjacency must be square.') + raise ValueError('The adjacency matrix must be square.') else: n_nodes: int = adjacency.shape[0] @@ -132,16 +130,16 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], transition_matrix = diag_out.dot(adjacency) if personalization is None: - root: np.ndarray = np.ones(n_nodes) / n_nodes + restart_prob: np.ndarray = np.ones(n_nodes) / n_nodes else: - if is_proba_array(personalization) and len(personalization) == n_nodes: - root = personalization.astype(float) + if has_nonnegative_entries(personalization) and len(personalization) == n_nodes: + restart_prob = personalization.astype(float) / np.sum(personalization) else: raise ValueError('Personalization must be None or a valid probability array.') if self.method == 'diter': - current_flow = root + current_flow = restart_prob flow_history = -current_flow / 2 for i in range(self.n_iter): @@ -153,9 +151,9 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], elif self.method == 'spectral': weight_matrix = sparse.eye(n_nodes, format='csr') - self.damping_factor * diag_out.astype(bool) - root = weight_matrix.dot(root) + restart_prob = weight_matrix.dot(restart_prob) - pagerank_matrix = SparseLR(self.damping_factor * transition_matrix, [(root, np.ones(n_nodes))]) + pagerank_matrix = SparseLR(self.damping_factor * transition_matrix, [(restart_prob, np.ones(n_nodes))]) _, eigenvector = randomized_eig(pagerank_matrix, 1) self.ranking_ = abs(eigenvector.real) / abs(eigenvector.real).sum() diff --git a/sknetwork/utils/checks.py b/sknetwork/utils/checks.py index 5ef4c7f26..b9eae3c30 100644 --- a/sknetwork/utils/checks.py +++ b/sknetwork/utils/checks.py @@ -39,7 +39,7 @@ def is_proba_array(entry: np.ndarray) -> bool: err = entry.dot(np.ones(n_features)) - np.ones(n_samples) return has_nonnegative_entries(entry) and np.isclose(np.linalg.norm(err), 0) else: - raise TypeError('entry must be one or two-dimensional array.') + raise TypeError('Entry must be one or two-dimensional array.') def is_square(adjacency: Union[sparse.csr_matrix, np.ndarray]) -> bool: From d136f28cbfca71a023f90e1d49b49694dbf22e06 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Mon, 15 Jul 2019 17:41:09 +0200 Subject: [PATCH 70/92] Name pagerank score attribute --- sknetwork/ranking/pagerank.py | 16 +++++++------- sknetwork/ranking/tests/test_pagerank.py | 28 ++++++++++++------------ 2 files changed, 22 insertions(+), 22 deletions(-) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 579016859..2c0bd00dc 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -63,8 +63,8 @@ class PageRank(Algorithm): Attributes ---------- - ranking_: np.ndarray - Ranking of each node. + score_ : np.ndarray + PageRank score of each node. Example ------- @@ -73,7 +73,7 @@ class PageRank(Algorithm): >>> adjacency = rock_paper_scissors() >>> pagerank.fit(adjacency) PageRank(damping_factor=0.85, method='diter', n_iter=25) - >>> np.round(pagerank.ranking_, 2) + >>> np.round(pagerank.score_, 2) array([0.33, 0.33, 0.33]) References @@ -85,7 +85,7 @@ class PageRank(Algorithm): Stanford InfoLab. """ def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: int = 25, parallel: bool = False): - self.ranking_ = None + self.score_ = None if damping_factor < 0. or damping_factor > 1.: raise ValueError('Damping factor must be between 0 and 1.') else: @@ -111,7 +111,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], Parameters ---------- adjacency : - Adjacency matrix of the adjacency. + Adjacency matrix of the graph. personalization : If ``None``, the uniform probability distribution over the nodes is used. Otherwise, the user must provide a non-negative vector. @@ -146,7 +146,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], self.diffusion(transition_matrix.indptr, transition_matrix.indices, transition_matrix.data, flow_history, current_flow, self.damping_factor) - self.ranking_ = abs(flow_history) / np.sum(abs(flow_history)) + self.score_ = abs(flow_history) / np.sum(abs(flow_history)) elif self.method == 'spectral': @@ -156,7 +156,7 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], pagerank_matrix = SparseLR(self.damping_factor * transition_matrix, [(restart_prob, np.ones(n_nodes))]) _, eigenvector = randomized_eig(pagerank_matrix, 1) - self.ranking_ = abs(eigenvector.real) / abs(eigenvector.real).sum() - self.ranking_.reshape((self.ranking_.shape[0])) + self.score_ = abs(eigenvector.real) / abs(eigenvector.real).sum() + self.score_.reshape((self.score_.shape[0])) return self diff --git a/sknetwork/ranking/tests/test_pagerank.py b/sknetwork/ranking/tests/test_pagerank.py index 83d293ab0..0a6194e47 100644 --- a/sknetwork/ranking/tests/test_pagerank.py +++ b/sknetwork/ranking/tests/test_pagerank.py @@ -20,19 +20,19 @@ def setUp(self): self.parallel_ranking = PageRank(parallel=True) def test_pagerank(self): - ranking = self.spectral_ranking.fit(self.adjacency).ranking_ - self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0.) - ranking = self.no_damping_spectral_ranking.fit(self.adjacency).ranking_ - self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0.) - ranking = self.spectral_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])).ranking_ - self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0.) - ranking = self.diter_ranking.fit(self.adjacency).ranking_ - self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0., places=2) - ranking = self.no_damping_diter_ranking.fit(self.adjacency).ranking_ - self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0., places=2) - ranking = self.diter_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])).ranking_ - self.assertAlmostEqual(np.linalg.norm(ranking - np.ones(3) / 3), 0., places=1) + score = self.spectral_ranking.fit(self.adjacency).score_ + self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) + score = self.no_damping_spectral_ranking.fit(self.adjacency).score_ + self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) + score = self.spectral_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])).score_ + self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) + score = self.diter_ranking.fit(self.adjacency).score_ + self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=2) + score = self.no_damping_diter_ranking.fit(self.adjacency).score_ + self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=2) + score = self.diter_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])).score_ + self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=1) def test_parallelize(self): - ranking = self.parallel_ranking.fit(self.adjacency).ranking_ - self.assertIsNotNone(ranking) + score = self.parallel_ranking.fit(self.adjacency).score_ + self.assertIsNotNone(score) From 98ce7f7ce23c2d806d93369446f0ef4d0bc43aa2 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 16 Jul 2019 17:38:54 +0200 Subject: [PATCH 71/92] Notebook pagerank --- docs/tutorials/pagerank.ipynb | 439 +++++++++++++++++----------------- 1 file changed, 221 insertions(+), 218 deletions(-) diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index 707d02894..1f4c06979 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This notebook illustrates the ranking of ndoes in a graph by [PageRank](https://scikit-network.readthedocs.io/en/latest/reference/ranking.html#pagerank)." + "This notebook illustrates the ranking of the nodes of a graph by [PageRank](https://scikit-network.readthedocs.io/en/latest/reference/ranking.html#pagerank)." ] }, { @@ -25,29 +25,23 @@ }, "outputs": [], "source": [ - "from numpy import array" + "import numpy as np" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 2, "metadata": {}, + "outputs": [], "source": [ - "## Undirected graphs" + "import sknetwork as skn" ] }, { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:29:51.246822Z", - "start_time": "2019-07-15T12:29:50.710016Z" - } - }, - "outputs": [], + "cell_type": "markdown", + "metadata": {}, "source": [ - "from sknetwork.toy_graphs import miserables_graph\n", - "from sknetwork.ranking import PageRank" + "## Undirected graphs" ] }, { @@ -70,8 +64,8 @@ { "data": { "text/plain": [ - "<77x77 sparse matrix of type ''\n", - "\twith 508 stored elements in Compressed Sparse Row format>" + "<34x34 sparse matrix of type ''\n", + "\twith 156 stored elements in Compressed Sparse Row format>" ] }, "execution_count": 3, @@ -80,7 +74,7 @@ } ], "source": [ - "adjacency, labels = miserables_graph(return_labels=True)\n", + "adjacency = skn.toy_graphs.karate_club()\n", "adjacency" ] }, @@ -88,46 +82,22 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Find Cosette's node in the graph." + "**Ranking**" ] }, { "cell_type": "code", "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:29:51.288646Z", - "start_time": "2019-07-15T12:29:51.284608Z" - } - }, - "outputs": [], - "source": [ - "cosette_node = [node for node, name in labels.items() if name=='Cosette'][0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Ranking with personalization**" - ] - }, - { - "cell_type": "markdown", "metadata": {}, + "outputs": [], "source": [ - "Compute the ranking with a personalization vector set with Cosette." + "pagerank = skn.ranking.PageRank()" ] }, { "cell_type": "code", "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:29:53.130694Z", - "start_time": "2019-07-15T12:29:52.704040Z" - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -141,9 +111,16 @@ } ], "source": [ - "pr = PageRank()\n", - "pr.fit(adjacency,\n", - " personalization=array([(node == cosette_node) for node in range(adjacency.shape[0])]))" + "pagerank.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "score = pagerank.score_" ] }, { @@ -155,7 +132,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:54.855665Z", @@ -169,7 +146,16 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "graph = from_scipy_sparse_matrix(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -179,7 +165,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -190,23 +176,43 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(from_scipy_sparse_matrix(adjacency), with_labels = True, node_color = pr.ranking_, cmap = 'coolwarm')" + "draw(graph, node_color = np.log(score), cmap = 'coolwarm')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Ranking without personalization**" + "**Ranking with personalization**" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "target = [1,10]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "n = adjacency.shape[0]\n", + "personalization = np.zeros(n)\n", + "personalization[target] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 36, "metadata": { "ExecuteTime": { - "end_time": "2019-07-15T12:29:57.454061Z", - "start_time": "2019-07-15T12:29:57.444373Z" + "end_time": "2019-07-15T12:29:53.130694Z", + "start_time": "2019-07-15T12:29:52.704040Z" } }, "outputs": [ @@ -216,13 +222,22 @@ "PageRank(damping_factor=0.85, method='diter', n_iter=25)" ] }, - "execution_count": 10, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pr.fit(adjacency)" + "pagerank.fit(adjacency, personalization)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "score = pagerank.score_" ] }, { @@ -234,7 +249,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.518668Z", @@ -244,7 +259,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOydd3xN5x/H3+eODCuJFSsEpfZqjaL2iFElYu9WrVBExKqqVTVrq/ZXtUuFUitG7NhCxSYEQfaQSHLXOb8/UqlUxl1mzvv1yitx7jnP+d4rOZ/n+T7fIUiSJCEjIyMjI5NDULxpA2RkZGRkZF4nsvDJyMjIyOQoZOGTkZGRkclRyMInIyMjI5OjkIVPRkZGRiZHIQufjIyMjEyOQhY+GRkZGZkchSx8MjIyMjI5Cln4ZGRkZGRyFLLwycjIyMjkKGThk5GRkZHJUcjCJyMjIyOTo5CFT0ZGRkYmRyELn4yMjIxMjkIWPhkZGRmZHIUsfDIyMjIyOQpZ+GRkZGRkchSy8MnIyMjI5ChUb9oAGRmZ9wtJp0GMDUPSaQABQW2LwqkIgtrmTZsmIwPIwicjI2MlxPgo9PevIEY+AEEJkgiCAAggiSicXVGVqowib/43bapMDkeQJEl600bIyMi8u0iiAd3VE4gRD0AUgUweKYIAggJl0bKoKtZDEOSdFpk3gyx8MjIyZiOJItrAA0jxESAajLtIoUJRsBjqak0RBOHVGigjkwHylEtGRsZs9DdOmyZ6AKIeMeox+juBr84wGZkskIVPRkbGLCRNEoYnd0wTveeIegwPriHptdY3TEYmG2Thk5GRMQt96E3AAlelIGB4HGw1e2RkjEUWPhkZGZORJBHDg+vmrfaeY9Cjv38FS8MMDKKEVi9iMEgWjyWTM5DTGWRkZExHk2yZ6KWNkwQGPajUJl2mM0hExGl5HK1DZ5BSsyak1MDRwo5qiua3wd5GntfLZIwsfDIyMiYj6bQgKAALxU9QgF5rtPCJksS9MA0R8ToEQPxngSe98D0sVkd4nI689krKF7fDRiULoEx65N8IGRkZ01EoyDRfzyQkUCiNOlMUJa7eTyYyXock/St6GY4qwdMkA3/fTSJFK1rBTpn3CVn4ZGRkTEawsf8nWd1CJECVfSkzSZK4+SiZZymGLAXvv+gMElfuJ6EzyHt/Mv8iC5+MjIzJCGobBCdni8dRFC6JoMj+MRT3zED8M9NE7zk6vURolMYM62TeV2Thk5F5R5BEEUmbgqTTvBXRiyrXKqC0IExAoURVqopRpz6K1pglepC6qAyP0yGaO4DMe4cc3CJjFFqdRIou9Wd7G1Cr5FJTrwNJFBEjHqAPuYz0NDp1b00CkFAUKI7KtSqCk/MbKf2lyF8s1U1p0Jt1vWCfB4VDwWzPS9GKJCRb6FaVIDpBTyEH06JHZd5P5FqdMpmiN0jcegxnb0FsIij/eeYaRCjiCLXLQdkioFDIIvgq0D++g/7GmdQuB5mJi1IFaltsqjVB4Vj49RoIiE+j0Z7bC6KJ4qdUY1O3PYrcDtme+iRGS0iEBkufVA65lVQumcuyQWTeC2Thk8mQK/clDgUBEugyiVhXq0ApQJuPoEwRWfysiS74EoZ7l00o/KxEXb0pykIur9awDDDEPCHp/D6UkojCiP06VGpsarU2arUH8CAihdBonYVWQi5bBTXK5LZ4HJl3H3mPT+YlTt2Q8L8MOn3mogepr6foYOc5CAqR50/WQh960zTRAxAN6P4+jBgX8eoMy4SwZJE24+bzzCZvampCRu2GFApQKFAULI5N3Q5Gix5YJ2lCRuZF5D0+mXQEhUicvQ16E565egMcCoI89hKlneWVnyVIOm2qe9Osws8GtEHHsG3Y+bXt+UmSxBdffEGrTl0o1LQLUnIi+oc3eHrvKgZNCvny5UNQ2aAoWgZViQ8RbE13NaqVCv4pzGIRKuWr/0wkSSIqQSI+SUKrk1AqwU4tUMRRga1a/tt4W5CFTyYNrT7VvWmK6D1HbwC/QBjiJsk91izA8PjOP13LzUSbjBQfifCa9vuWL19OXFwcEydOBFIDVtTlP2bLofMEBgby888/W3wPxzxKHkRi0R6fQoACeV/d406nl3gYLRISIaIXU/fB/723xI1HIgXzCZQprMApj+xoe9PI/wMyaVx/aFGtfXQGCHn9nrb3BkmS0IcEmR0lCaQWfg65Yj2jsuDGjRtMmTKFdevWoVKlF5Xw8HCcnS3P8wMIf/yAyPBQi8cp/IoiOhOSJY5d13P7iYhGn170ILXCjChBRLzE2TsGbjzSvxXpKDkZWfhkgNSH7rnbWe/pZYdOD2dvW8+mnIaU9BR0lvenEyMfWsGarNHpdPTp04fp06dTvnz5l163hvDduHGDfv36Ubt2be7fOI9ggbOzYD41ylfg6nyWInH6lh6tPusSas8RJbgfKXEt1AoFvmXMRhY+GQASU1K/LOVRFHKisLnoUlJ9cpYiiUjW6JyQBTNnzqRgwYIMGTIkw9cjIiLMFr5Lly7RpUsXGjVqRLly5bhz5w7DBvUmt53SLI+ESgEuhbIvi2YqBlHizG09ehNTDEUJQqMlQqNl8XtTyMInA0CyNjVPz1IUCtBY4KnL0VhtviBYtiGWDWfOnGHFihWsWrUq0/3c8PBwChc2bZ/x1KlTtG/fnnbt2vHJJ59w9+5dvvnmGxwdHVEIApVK5sLWRjBpC1SpgMqlcmGrtv6jLixOMln0niNKcOuJKLs83xCy8MmkIv/9vXnUttYRLAEES0qJZcGzZ8/o06cPy5Yto2jRopmeZ6yrU5Ik/P39adasGT179qR9+/YEBwfj5eVFnjx50p2rUgpUL50bh1xKRNGAQZ/5DEshpEZTViudm9x2xnV/MJW74YaX9vNMQW+AmET5D+9NIAufDAB2NtYpti+KYCvHCpuFkDuf0S16shzHqYgVrMmYsWPHUq9ePTw8PLI8LzvhkySJXbt28cknnzB8+HD69+/PrVu3GDJkCHZ2dplep1QIVHSx5/txA9AmhqEQUkVOmZomiCCAY24lFV3sqVk29ytrRvs0WSLJwrrXBhHuRcgtk94E8iPqFaDXS8Q+1ZGUbMDOVoljPhW2b3k36Lz2kMsOniZZNk6xAnIJM3MRBAXKkpVMT15/EaUKVemq1jXsH/bu3cvu3bu5fPlyluelpKSQnJyMo6PjS68ZDAa2bt3K999/D8CkSZNwd3dHqTRe8I8cOcLdO9dpWvdDJAS0egmDQUKhABuV4rXk6yUm/9v13RISkuUV35tAFj4r8iRCw479kew9Go0oSigVQmoosyjRsLYjndsUppzr21krUBAEan8gceyq+ZGdahXUKWddu3IaqhIfYrj3twUDqFOLR1uZ6OhoBg4cyPr163FwyLq+ZkREBIULF063/6fT6diwYQM//PAD+fPnZ+bMmbRt29asnM+5c+fi7e2dVh7N3ub1T7T0omQVr7S5e4QyliELnxVITjEwa3kIgVcSECWJf7ce/v3LOHI6loDzcbgUtWOaVxkK5rd+lJmlVHKBo1fNv16lAFfrpG7lWARbe5SuVTHcv2p6Pp9CibpSA6sXEJAkicGDB9O9e3eaNm2a7fkvujlTUlJYtWoVc+bMoWzZsqxYsYImTZqYbeOVK1e4ePEi27ZtM+t6a6FUCFZZ8b2GxalMBrzd/rd3gMRnekZMuUnglQS0uhdFLz2iCBqtxL2HyQyZdINHYVbIHbAyNmqBxpVBZcY2k0oJrWuCQq7aYjGqsjURCpciRWu88Gn0Bv53+CKSU+YBJ+ayfv16bty4wcyZM406Pzw8nAIFCjB//nzKlCnD3r172bRpE/7+/jRt2tQiYZ43bx4jRozIch/wdWBvpXnrm1itysjCZxF6vcTEOcE8idCi1Rk39TOIkPDMwJiZt4lPePvi/muUEfiorGnip9MmQ/RRyhaV/4itgSAI/LDtMH+cCvqnuHPm/xlJGi06UcKuehN2B95gwIABiNaIUvqH+/fv4+Xlxfr1640Sm7i4OH799VeOHz/O2bNn2bt3Lzt37qRevXoW2xIaGspff/3F0KFDLR7LUpxyC2ZNEF9EqQDXwvIj+E0gf+oWcOxsLCGPUtDpTfN3SBI8TTSwaWfYK7LMMhpWEmhaBdTK1K/MUKtSIzgblnvKnEm9+PPPP1+fke8xfn5+/Pzzz3w2fAK2jbqhLFsTbOxBoURrkEjWGUChRMjtSIRDKWp5zkQqUIKtW7fy4MEDPD09rZIfJooi/fv3x9vbmxo1amR5bkREBBMmTKBs2bI8ePCAXr16sXnzZqpXr26xHc9ZtGgRffv2xcnJyWpjmosgCJQupLCo3oAggLOjPFl8E8jCZwGbd4WTojFvdq3XS+w5HI1W93bublcrLTC0DTSrBvrkSCRRnyaECgGcHVJdm0PbQsOaRdi5cyeDBw/mxIkTb9r0d5qQkBD69evH77//TtGiRRFs7FCXropt427Y1O/E/nA9Cw8HYdvQA9sGnajQyI2KlSvz008/kStXLnbu3MmFCxcYN25chuInSRJSyjPExFjEZ/FIusxj8hcuXIher8fb2zvTc0JDQxk1ahQVKlQgPj6eCxcu8Omnn1KpUiWrfB7PiY+PZ9WqVYwePdqq41pCiQIKs+uJKwRwLaSQtwbeEHJwi5kE30/icbiFiTzA8bNxNG+Q3woWWR+1SqBKKRjauzMTJ0+nXv3GCALYqcHuP3sTtWrVYsOGDXTu3JnDhw9b/cGXE0hJScHDwwMfHx8aNWqU7jVBEBBy5SURG+5HxSPY/RsdPGPGDFq1asWXX35Jvnz58PPzo0mTJuTNm5fJkycDIOk06B/dwhASlFoPVFAAEogigkNBVKWroSjogvBPpOSVK1eYNWsWZ86cyTDVIDg4mNmzZ+Pr68sXX3zB1atX0xLaw8PDqV27tlU/m59//hk3NzdKlSpl1XEtQcDA0e2LqdN6EDa2xu85KgRwzC1Qtoi87nhTyJ+8mZz9+yl6E12c/yU5ReTomVgrWfRq0Gg0XLx4kYaffIRTHgHH3MJLovecli1bMm/ePNq0acOjR49es6XvPqNGjcLV1RUvL69Mz1Gr1Wi16QtZV6tWjebNm/Pjjz8CkD9/fvbv38+6detYuHAhutsX0Bz5HcPtC6BJTs0RNOhSo0YlESkuAt3lo2iObESMeYJGo6F3797Mnj2bMmXKpLvXtWvX6N27N3Xr1sXZ2Zlbt24xb968dFVcrNmZAUCr1bJo0SLGjh1rtTEtJSkpCXd3dy6cOkANV4XR5f4UQur+4MdllfJq7w0iC5+ZxD3VW1Su6MVx3mYCAwMpV64cefPmNer8Pn36MGzYMNq0aUNcXNwrtu79Yc2aNRw+fDjL+pcANjY26HS6l45PmzaNxYsXExUVBUCRIkU4eOAAxZ6GoLlzMVXsskqKN+hAp0F7YR+/L5mDq6srAwYMSHs5MDCQzp0707RpUypXrkxwcDDTp0+nYMGXO6lbUqA6IzZu3EjFihWz3Wd8XURFRdG8eXOcnJzYuXMnpYrk5pPyKpwdhLRKMv9FqUj1lFQorqD2B0qUcpGHN4osfDJZEhAQQIMGDUy6xsfHhyZNmtCpUyc0Gsvdwe87f//9N97e3mzbto18+fJleW5GKz6AsmXL0qVLF2bPnp12rGhKOO3rVUdlykNWNNChfEF+XfADgiBw4sQJ2rRpQ4cOHfj000+5e/cuEyZMyDKJ3ZwC1ZkhSRLz5s17a1Z7ISEhNGjQgCZNmrB69WrU6tQef3ntBWqVUdGksooPiigokFcgn32qS7Ook8BHZZQ0qayiVCGl3Kj5LUAWPjNxclBhQpWlzMfJ93Zvs5ojfIIg8OOPP1KwYEH69u1r1fD69424uDg6d+7MokWLqFy5crbnZ7biA5g8eTKrVq3i0aNHSMkJGB5cQyGZ/tnnsrWB22do3Lgxffv2pVOnTgQHBzNq1Chy586d5bV6vZ64uLgMV4LmsHfvXlQqFS1btrTKeJZw6dIlGjZsyIgRI5g1a1aGAmarFihbREmdD1Q0qKDmk/IqariqKJBXIQveW4QsfGZSr6aDxTUB7e0UNK3/dga2QOps2xzhA1Aqlaxbt46wsDC8vLzk9isZIIoi/fr1o02bNvTs2dOoa2xsbDJc8QEUK1aMgQMHMm3aNPQPrlvU6UGhSWbs0C+5desWgwYNwtbW1qjrIiMjyZ8/v0m1N7Ni7ty5jB079o2Lhr+/P61atWLhwoUMHz78jdoiYzmy8JmJawl7XIpaVj1CEKDBx1nXPXyT3LlzB1tbW0qWLGnW9XZ2dmzfvp2DBw8yf/58K1v37jNnzhzCw8NN+mwyc3U+Z9y4cezcsR3d/WtgxmrvOfa2NrSqWBKVyjSPhDX3986dO8fdu3fp2rWrVcYzl40bN9KzZ098fX2z7Uoh824gC58FdPvMGTtb8z5CtUrgs+YFUave3v8Cc1d7L+Lk5ISfnx+LFy9mw4YNVrLs3efQoUMsWrSILVu2YGNjfP2rrFydkBrROX2clxX2ViXEqIcmX2XN/b25c+cyatSotH20N8H8+fMZP348/v7+L6WYyLy7vL1P3XeAhh878kEpe9Qq09wwCgEc86no2v7truhsDeEDKFGiBHv27MHLy4uDBw9awbJ3m0ePHtGrVy/Wr1+Pi4uLSddmt+ID6N65Ezp95uJoNAbTx7BWKsPdu3c5dOgQAwcOtHgscxBFES8vL3777TcCAgKoUqXKG7FD5tUgC58FKJUCM7zL4lLMFhu1ceKnVIBDXhXzJpUjb+63O7DlxIkTVhE+gCpVqrBlyxZ69uzJpUuXrDLmu4hWq6VLly6MGDGC5s2bm3x9dis+ADt7O2xNSKi2JtYSvgULFjBo0CCj02isiUajoWfPnpw/f57jx4+bPDmReft5u5+8r5iEZ3r2HYtm/7EY4hP0iCLktldQu3o+OrYuTHHn7Df0c9krWTTlQ+b9fJ+TF+IBMq7dKRkQBIkPyzowZWRpnBzenPvGGKKjo3n06BHVqlWz2piNGjVixYoVtGvXjhMnTlC6dGmrjf2uMHbsWAoUKMD48ePNut6YFZ+gtsPWxsasFVs6lKb/jlpjjy8qKoqNGzdy9aoFPbLMJD4+nk6dOqUVAXjTXSBkXg05Uvhi43X8tOERAefjEITUdkHPiU+A3Yei2HskmnKlczG0VwnKl8m6eaytjYJJw0sTFaNlp38Ufx2MQqsVUSoFDKKEQa/HRrpC4PHFbF1xjDx53m7RAzh58iR169Y1ObghOzp37syTJ09wc3MjICDAamHv7wKbNm1i165dnD9/Pq2JqqlkFdX5HCFfQcwuIpk2iICisOnlwcLDw6lYsaJFt16+fDnu7u7pqsG8Dh4/fkybNm1o1KgRCxcutFpkqszbR44TvkdhKXjNuM3TRD2GTApZ6A2AQeLqrWeMmXmLCcNcqf+RY7ZjF8xvw4AuxejXuSiJSQaeJRmwt1Pw4P5NOnz2HXU/+ohVq1bx9ddfW/dNvQKstb+XEcOHDyc0NJTPPvsMf39/cuV6O7vSW5Nr164xYsQIDhw4YFF3AWNcnYJCgbJkRfR3gxAwM7JTUKByNX1fy1JXZ1JSEsuWLePIkSNmj2EO169fp02bNgwdOhQfH583nj4h82rJUXt8MXE6Rk+/nVpuLIvqTS+i0UrMWh7CpWsJRt9HoRDIl0dF0cK2OOZTU7VKZSRJwt3dnYULF2Iw9uZvkFcpfACzZs2iXLlydO/eHX1m3XvfExISEujcuTNz5syxuOyWMa5OURSZs347KVrzmx0LuR1Q5DU9x9RS4VuzZg1169a1eNVoCidPnqRp06ZMnz6dcePGyaKXA8hRwjdn5X0SEvUm5/VqtBLfLbyLVmve7FkQBNq1a8fjx48pUqTIW9+37nlhams0D80MQRD49ddf0Wg0DBs27L1NcJckiS+//JKGDRumq31pLtmt+C5cuICLiwtTZ83h7xg9KMxw6ihUqKt8apZ9lgifwWBg/vz5+Pj4mHW9OWzfvp2OHTuyZs0a+vTp89ruK/NmyTHCFxGlJehmotmFpSUJjp01v+hy27Zt2b17N97e3sybN++tftCbWpjaXNRqNb6+vly4cIHp06e/0nu9KRYtWkRwcDBLliyxyniZrfhSUlLo3bs3derUoUSJEoSGhtK473CUxT/AgAkrGIUKdc3mKPKZvvcqiiKRkZFm5/Ft376dQoUKvVJPw4v89NNPDBs2jL1799K6devXck+Zt4McI3x/HYwEC7QmOUVk865ws69v1qwZFy5coEmTJkRFRXHy5EnzjXnFvGo354vkzZuX3bt3s2bNGv73v/+9lnu+Lk6cOMGsWbPw9fW1WnRgRsEtO3bswNnZmT///JPVq1dz5swZChcujCAIqCrW56EyP89SNGj0GbvYRVFEFJRglxubOm1RFixhlm2xsbHkyZPHpIT850iSxJw5c15LeTJJkpg8eTLz58/n+PHjfPTRR6/0fjJvHzlG+PyORmecZmACYZEaHpnZfDZXrlw0bNiQQ4cOMWrUKObNm2eRLa+S1yl8kNpCx8/Pj8mTJ7Nr167Xdt9XSVhYGN27d+e3336zatqGWq1Gp9MhSRJRUVE0bdqUzp0707BhQ8LCwl5y1+n1erqMnszSwDBGLV3PM0mZGvGpUKZ+CQI3Ip7ieyMS20bdUDgUMts2S9ycx48fJyYmhs8//9zs+xuDTqdj4MCB7Nu3j4CAAMqWLftK7yfzdpIjhE+SJBKeWR5QolIKxMSZnxv13N05YMAATpw4we3bty22ydpYUpjaEsqVK8f27dsZMGAAZ86cea33tjZ6vZ7u3bvzxRdf0LZtW6uOrVAoUCgU/Pjjj5QoUYJLly6xe/dudu/enaFretmyZRQpUoTbwXc5ejOUNddisG3WB9uGHtg26oZti36klPuEWStWWWybJcI3d+5cxowZ80pTCJ49e0bHjh158uQJhw4dslppNZl3jxwhfKKIRW7OF9GYGeAC0K5dO/bu3Yu9vT2DBg1i4cKF1jHKilhamNoS6taty+rVq+nYsSO3bt167fe3FpMmTcLW1pYpU6ZYfewbN24gSRLjxo2jR48ePH78ONP9qbCwMGbOnEmbNm04f/48mzdvZvbs2SQkJSPY50GwtUdQKPnkk0/Q6XScP3/eItvMTV6/du0a586do1+/fhbdPysiIyNp1qwZzs7O7Nixgzx58ryye8m8/eQI4VMqBZQm1tPMCAnIk8v8GWmZMmVwdHQkMDCQ4cOHs3HjRqKjoy22y5q8idXei7Rr144ZM2bg5uZGWFjYG7PDXP788082bdrEhg0brLp60Wg0eHl5pVXS8fPz47fffsPe3j7Ta3x8fOjSpQs//PAD69ato3bt2rRu3ZoFCxakO08QBHr37s26dessstHcAtXz58/H09Mzy/diCXfv3qVBgwa0bNmSX3/99Y0WvZZ5O8gRwgdQxsXyPyq9XsKlmGVBCu3atWPPnj0ULVqUTp06sWLFCovtsiZvWvgAvvzyS/r370/btm1JSDA+f/JNc/v2bQYPHsyWLVusWpHmyJEjlCpVimXLljF69Gjy589P1apVs7zmxIkTHDp0iFu3buHp6Unt2rUB+O6771iyZAlRUVHpzu/Tpw+bNm3KNjk+K8xxdT5+/Jht27YxbNgws++bFRcuXKBhw4aMHj2aGTNmyDl6MkAOEr6u7Qtjb2f+21UqoEk9J3LbWzaLf77PB+Dl5cWyZctISTE/0djavCrhkzTJ6O7+TUrAVlKObCTl8AZSjm1GG3QUMT7qpfSOyZMnU7t2bTp37pxtwvbbwLNnz3B3d2fatGnUqVPHKmPGxMTg4eFB69atcXR05NKlS8yePRtbW9ssBUqv1+Pp6UmrVq1ISEhg4sSJaa+VKVOG7t27M2vWrHTXlC1blnLlyrFv3z6z7TVH+BYvXkzv3r0pUKCA2ffNjP3799OmTRuWL1/O0KFDrT6+zLtLjhG++rUcUSrMn+2pVALubpZvhn/66afcuHGDiIgIqlSpQo0aNd6aPnUxMTGEhoZatTC1pElC+/chNCe3Ygi5AinPwKAH0QA6DWLEfbSB+9Ce2o4h+lHadYIgsGzZMuzt7fnyyy8RRfP3Vl81kiQxZMgQatasyeDBg60y3urVqylVqhS7d+9mxowZXLt2La2aSXbVW1asWIG9vT1//fUX69ate8m1980337B69WoePkzfb69Pnz6sXbvWbLtN3eNLSEjgl19+wcvLy+x7Zsa6devo06cPf/75Jx07drT6+DLvNjlG+FQqgb6di5jVOFatFqhWIQ9lSlruLrWxsaF58+ZpM+sxY8Ywf/78t+LBfvLkSerUqWO1wtTis3g0Z3YhRj1KjTCSMomsFQ1IyQnoLh9BH3oz7bBKpeL3338nODg43arlbWPlypX8/fff/PTTTxa70u7cuUO9evUYNmwYlSpV4vr164wdOzZdUeusqreEh4czdepUEhMTmT59OuXLl3/pnKJFizJo0CCmTZuW7njXrl3Zt28fcXHmFWowdY/vl19+oWXLllZN95AkidmzZzN58mQOHz78xt32Mm8nOUb4AD5vWYgWDZywtTH+bUuiFr0mjAnDrBfl+KK7s3nz5qjVavz8/Kw2vrlY080paZLQXvADXQpGh9SKBvS3z6MPu5d2KFeuXOzcuZPt27dbrfqJNTl79izffvstW7dutajYtlarZerUqVSrVo2rV6+yZMkSTp8+jaur60vnZrXiGz9+POXKlcPFxYUhQ4Zkej8fHx+2b9+eLno2f/78tGjRAl9fX7PegymuTp1Ox8KFCxk7dqxZ98oIg8HAyJEj2bBhAwEBAVSqVMlqY8u8X+Qo4RMEgRH9XejcphA2agFlNu/eRg2JsddIejgXz2FfWW1V1rZtW/bv349er0cQBLy9vZk/f75VxraEgIAAGjZsaJWxdNdPgc6MvTnRgP76SSTdv4UCChQogJ+fH7Nnz2bLli1Wsc8aREVF0aVLF37++WfKlStn9jgBAQFUqFCBuXPn0rhxY+7cucOXX36Z6eoxsxXfqVOn2LVrF8HBwfz6669Zrj6dnJzw8vJi8sbUvMgAACAASURBVOTJ6Y736dPHrOhOSZJMEr5NmzbxwQcfWK1qSkpKCt27dycoKIhjx45RvHhxq4wr836So4QPUsWvv0cxls+ogFuTAtjaCOSyV2BrI6T+bKdArRL4uFpeZnh/QJ/2KcTHRRIcHMzIkSOtUmOzWLFilCpVilOnTgHQrVs3bt68ycWLFy0e21w0Gg2BgYFWKUwtaZIQY8OwJHlS/yQ43b9dXV3ZtWsXnp6eHD161EILLcdgMNCrVy+6d+9u9h5SbGwsX3zxBa1btyYuLo7Vq1ezd+9eihQpkuV1GZUtMxgMDB06FJVKxfLlyylWrFi29//66685duxYut+7tm3bcvXqVUJCQkx6LwkJCSiVSnLnzp3tuZIkMXfuXKut9uLi4mjdujUKhQI/Pz8cHbNvISaTsxGkt7la8msgOcXAxasJxCektirKk1tJlfK5KZg/td6gJEl06dIFJycnAgMDcXNzY+bMmRbf95tvvsFgMKRF182ZM4fLly+zfv16i8c2h1OnTjFs2DCriK8u+CKGB1f/qRxgJjb22Db0eGnV4u/vT48ePTh06BBVqpjeL85aTJkyhaNHj3Jg+xYUmn8CdpTq1HY+ebJ+8EqSxB9//MGwYcPQ6XR89tlnLFmyhPz5M28DlPzwCfdXbCBsx0HC74WQN28+chctTPFen1PyCw9+/WMT06dPp0WLFiYFqCxdupQ9e/awZ8+etGOenp4ULVqUb775xuhx7ty5Q+vWrQkODs723H379uHt7c3ly5ct3hMNDQ3Fzc2Nli1bMn/+fLMb/MrkLHK88BlDXFwctWrV4ttvv2XOnDn079/f4tYpJ0+eZOjQofz9999p9yhTpgyXL1+mRAnzigRbwrx58wgJCWHp0qUWj5VyYgtoki0bRKnCplZrFPleDnPfuHEj48ePJyAgABcXF8vuYwZ+e3aza/UKZnv2RalLAYUitX2HIIAoIuTKh6p0VRTOrgiK9Okv9+7dY+DAgQQGBmJnZ8eaNWto1apVpvdKuHqba2O+JybgAkgSoib9Sk9hb4ckipzUx7PNwcCpW9dwcHAw+r1otVo+/PBD1q5dy6efprYiOn36NP369ePGjRtGC1NAQADe3t5pXoysaNGiBX379qVv375G25kRV69epU2bNnz99deMGTNGztGTMRp5emQEjo6ObNq0CR8fH1atWsXKlSv56aefLBqzbt26PHr0KC2k3NHRkb59+7J48WJrmGwyVs3fM2dv7yUEJG3G4tmzZ0++/vpr3NzciI2NtcK9jOfhjctUS77H7IEeKDXPUtMy9LrUFZ9elxqhmhiL7tpJNMe2ICam2qfT6ZgzZw7VqlXj3Llz9O7dm9u3b2cpelGHTxHQoCtR/icRUzQviR6AmJyCpNFSx2DHXL0zioemdRCxsbFh6tSpTJgwIc2NX7duXSRJ4ty5c0aPY+z+XmBgIDdv3qR79+4m2flfjh8/TrNmzZg1axbe3t6y6MmYhLziM4F58+axdetWVq9eTYsWLZg1axa9e/c2e7xevXrRuHFjBg0aBEBISAgfffQR9+7dI1++fNYyO1skScLZ2Znz589bpUZnyqF1mNzt9z8kaXVsvnCXJ1olBQoUoGDBgum+FyhQgG+//ZbAwED2799vtbY/WZESEUrSmd3Y26iNf9Aq1dy0d6HHwKFER0eTN29e1qxZk+0kI+7cZU636IMhybTiBmonBxqe+5NcpYwP7jAYDFSvXp3Zs2fTrl07AKZNm0ZERITRHoAVK1Zw6dIlVq5cmeV5PXr04KOPPsLb29to+/7L1q1bGTp0KBs3bqRFixZmjyOTc5GFzwREUaR9+/ZUrVqVfv360axZM1auXGl2K5UNGzbwxx9/sGPHjrRj3bp1o169eowePdpaZmfL7du3adas2UsJzeaScuR3MJhf+gpAK8KBh88IehBOdHQ0UVFRL33XarWoVCpsbGyoWbMmBQsWzFAgXzzm4OBg1upASnlG3MGN2NuYluMoShJxiUk0Gj2Lbn36M3ny5GxFWjIYOFjyU7QRptdxFZQK8tWqQsOTpkW/bt++ne+++47AwEAUCgV3795N80oY019v6tSpGAyGl3IDX8QaE7ulS5cya9Ysdu3aRc2aNc0aQ0ZGFj4TiYyMpFatWvzyyy8UKlSINm3amD3zjI6OpnTp0kRGRmJrawvAuXPn8PDwIDg42GqJ5NmxevVq/Pz82LRpk1XG01w6iBT92LJBFMrU4Ba1baanJCcn8/jxY7p3707x4sXp0aMHMTExGYrk8+/Jycnkz58/w1VkZt+dnJwI2r6GMnYG1CrTS9ZpdHoSHIpToqFxLYrCd/pzsd9YDAnPTL4XpO77NTyzjbwVje81J0lS2oTruRvy008/ZezYsXTo0CHb658n3A8fPjzTc0aOHImtrS1z5swx2q4X7Zs0aRJbt27Fz8/PqknvMjmP1/NkfY8oVKgQ69evp3v37ly4cIGtW7fSuXNnduzYwSeffGLSWAUKFKBKlSocPXo0ba+ndu3alCpVCl9fX4v3QYzF2vU5VSWroIuLSN33MgsBRaGSWYoegL29PWXLluXgwYN8+umnhISEMG7cuCyv0Wq1REdHZyiMjx8/Jigo6KXj2pRk7m/6EbXKPHeqrVqFrTYWSRQRjIg6DJ77i9miByDqdIQsXkPVFZmvvv6LIAh8//33DBkyhM6dO6NWq9Ny+owRvvDwcJo2bZrp6zExMaxbt46goCCjbXrO8+axN2/eJCAgwKoFwGVyJvKKz0ymTp2aGs5+4AAHDhygX79+7Nu3jxo1apg0zsyZM4mMjEzXm2/Hjh1Mnz6dc+fOvZZN+0qVKrF+/Xpq1apllfEkSUITsBU0SeYNoFBi85FbhhGdmfHo0SMaNGjA9OnTX+pCbgmxsbFMH/4FU/t8htqCWq9JWh3rztziQZKU5epSjH3KoTJNMgxkMQWFvR1tnv5t8nUtWrSga9euDBo0iNjYWFxdXQkJCcHJySnL6xo2bMj3339Po0aNMnx95syZ3Llzh99++80kexITE/Hw8ECtVrNp0yaj8gRlZLJDFj4zMRgMtGjRgqZNm/Ltt9/i6+vL119/zeHDh/nwww+NHufixYt069YtXekoURSpUKECv/zyC40bN34V5qcRExODq6srMTExVnWt6sNCSL58BHV25XH+i0KJwtEZm5qmu46vX79OkyZNWLt2babNWU1BFEU6duzI+I6NqVUi8xw7Y7mVCPuCM3fDxsTEUNHegSmaAthLlk14BKWS1rGBKO1NW6WePXsWd3d3bt++jb29PV26dKFly5ZpAViZUb58eXbu3Jnh735KSgqurq74+/tTuXJlo20JDw+nXbt21KxZkxUrVrw217/M+897/ZtkECWehGtIeGZAqRBwzKeicMHsN+qNQalUsmHDBj766CMaN26Mh4cHiYmJtGrVimPHjlGqVCmjxqlRowaJiYncvn07reyVQqHAy8uL+fPnv3Lhs3ZhakhtizPkmxlUdlDSv0Ud7G2MbPypUCDkyoe6WhOz7luxYkW2bt1Kp06d8PPzs7gc1g8//EB0dDS1qlaG2CcWjQVw5/oV5i/ZgF6vR6fTodPp0n5WKBSoVCoUehFRkgALV/pKBYbkFJOFr06dOtSpU4dly5bh7e1Nnz59mDt3brbCl1WB6rVr1/LRRx+ZJHp37tzBzc2N3r17M2XKFDldQcaqvJcrvth4HbsPR7F9XyRanYRSkVo8S6+XKFzQhm7tnWlSz7Ri1Znh5+fHV199RWBgIIUKFWLx4sUsWbKE48ePZ1t66jkDBw6katWqjBw5Mu1YUlISpUuX5tixYyatIE1lwoQJablc1uDZs2d07doVg8FA7ty5aVmtLP0bVU/9D8ikO4MoQYpWS64iJbGt3hRBaVmH7D///BNPT09OnDhBmTJlzBrj4MGD9OnTh/Pnz1Mo4gZi5AOLbAJIzleElFI1UKvVqFQq1Gp12s/PK44kXA/meD13JBPTGF5CEGibfBXBjC7w165do0mTJmmrvuLFi3PmzJlMP8uUlBQcHBxISUl5SaBEUaRixYqsXLmSJk2aGHX/c+fO0aFDB6ZOnZqt4MrImMN7lcAuSRK/bn5E71FX2fRXOE8TDaRoRJ4liyQli2h1EqFPNCxfG0qXYUEcP2t58rObmxs9evSgf//+iKLI119/Tb9+/WjZsiUxMTFGjfFit4bn5MqViyFDhrBgwQKLbcwKawa2REZG0qxZMwoXLkytWrV48uQJ/cdNw7a+O0rXyqCyAaX6ny9V6neFAlXhkny72Z9fAm5aLHoAnTp1YvLkybi5uREZGZnuNUmSMEQ/Rv/wBvqQIPQPbyDGPElXgzU0NJQ+ffqwYcMGihcvjmBv+b6SBOQp4EzRokUpWLAgjo6O5M6dG5VKxZUrV1iyZAkeHh582OgTkpMtrHoD5Cpb0izRg9Q937Zt27JgwQJsbGzo3r17lqX0nq/2MlqV/fXXXzg4OBjtudi7dy/t2rVj5cqVsujJvDLemxWfJEnMWh7CqcB4NFrj3pKNjcCQniVo39yyKDGdTkejRo3w8PBgzJgxSJKEj48Px44d4+DBg+TNmzfL658+fUrx4sV58uQJefLkSTseERHBhx9+yM2bN03qc2YsWq2W/Pnz8/jxY4sT5u/evYubmxtdu3alfPnyfPfdd5w+fTqd3ZIoIsVHImlTUld/KlsU+Qog2NgRFBRE8+bNuXnzZraBFMYyadIkDhw4wOHDh8mlVqF/dDO1Ga5BD5L4b5kxQQCVDUrXqoiFXGnSoiWff/4548ePB+BZeCjSxf2oLAhuSdZq6b9oEx83akalSpW4f/8+R48e5cSJExQoUIDGjRunfT39cS33f9qIpDMvKlaZOxeV5k+k5JddzLb3ec7djRs3uHfvHr169eLWrVsZitvZs2cZNmwY58+ff+m1Bg0aMGrUKLp0yd6W1atXM378eP7880+TI6RlZEzhvVnx/br5MacuGi96AFqtxMqNoZy9FG/RvdVqNb///juzZ8/m7NmzCILAnDlzqFGjBp9//nm2M/h8+fJRp04dDh06lO544cKF6dKlC8uXL7fIvswIDAykXLlyFovehQsXaNiwIaNGjcLNzQ1vb2927dr1klgLCgUKJ2eUzqVQFimDsmBxBJvUPaiqVavSqVMnZsyYYZEtLzJjxgwqV67Md6OGojm2GcOdQNAmpybXi4ZU8RMNqUKoScJw+wJJhzfQsFoFxo0bx+3btxk9ejTFP6zCndAwi2yJ00F4QjIzZsyge/fuzJgxA5VKxR9//MHNmzf55Zdf6N27Ny4uLpQe3tfs1RpAcnISkRUtq/fq6upKz549+f7776lduzYKhYIzZ85keG5ERESGE7OAgADCwsJwd3fP8l6SJDFz5kymTp3KkSNHZNGTeeW8F8IXHavjz32RaDSmL141WomFqx5a3G7I1dWVn376ie7duxMXF4cgCCxfvpwiRYrQtWvXTDtmP6ddu3YvuTsBvLy8WLFihVXcX//FGm7Offv24ebmxrJly2jdujUeHh6sX7/erCag06ZNY82aNdy+fdsim54jCAIrf5jKpM8b/Ct2WSHqsVermNKpIWMG9qV+/focPnyY5ORklu44hN7MZhNJGi37r4Xi7e3Nw4cP0Wg07Nq1i1KlSvHFF1/w4YcfMnHiRAIDA5EkiVxlXHDu0ByFiYEpAMpc9qS0qU/bTh3x9PS0qJbpN998w9q1a3n48CF9+/bNtE9fZnU6586di5eXF8osRNxgMDB8+HC2bNmS1pdQRuZV814I386DkdmflAXPkg1cupZosR3u7u60adOGr776CkmSUCqVrFmzBkEQ6Nu3LwZD5g/etm3bsmfPnpcEuEKFCtSpU8es5qDZYanwrV27lr59+7J9+3aaNGlCu3btmDJlSpaFl7PC2dkZb2/vbJPQjUVMeooYdBg7tWkRqyoBvu30KYXy5uL69esMHTqUhRv/xMbZBRSmrcQkQUGekh8yaOI0PDw8KFy4MAqFgvr167NgwQJCQkLYsGEDoijStWtXypQpw9ixY9EMdidvlfIo7LNO4k+HnQ2F2zWh+5+ruH79OpIkUbFiRX799Vezmig7OzszZMgQpk6dSq9evdi8eXOGnd8zEr6bN29y8uRJBgwYkOn4ycnJdOnShZs3b3Ls2DGjegi+q+hjo9EE3yDl+iU0925hSHz6pk3K0bzze3x6vURXzyASk7KZzWfDR1XzMsvnA4vtSUlJoV69egwZMoQhQ4akHWvbti0ffPABK1euzHCfRJIkypYty/bt26lWrVq6144cOcLgwYO5fv261fqNSZJEkSJFOHfunMmFqSVJYvbs2fz000/s3buXDz74ADc3N6pWrZouEd8cUlJSqFChAmvWrLE4lUN75QTio1uY0xBXo9Ox++JtPuk9PK08lmTQk3J+P2J8BEpjxlSqUOQvirp6M6MqtkiSxOXLl/H19cXX1xdNQiLf2pbE8VEMKoOYaYKDoFQiKhUcU6cw4e5ZnF7o6xcYGIinpyeSJLFs2TKTUzzi4uIoV64cx48fZ/DgwYwePfqlxrsjR47E1dU1XX3ZQYMGUaxYMb777rsMx42JiaFDhw6ULFmS1atXG1UP9F1DMhhIuRpIwsEdaEPvpQvckvQ67CpWJ2/zDtiU+VBO13jNvPMrvgePUzCIlmv35euWr/gA7Ozs+OOPP5g8eTKXL19OO7Zjxw4uX77M2LFjM3SrCoJAu3bt0jUEfU7jxo3JkydPhq5Qc7lz5w42NjYmi57BYGDEiBH8/vvvnDx5kgoVKuDp6Ym9vT3z58+32C47Ozt++OEHvLy8zFqlPEfS6xCf3MHcLvC2ajXun1SjoJMjfn5+TJgwgQafNsK5ZTfWHzlPit6APrMkc6U6NVimdDXUNZobJXqQ+jtQvXp1pk+fzvXr19m1fx+XO9ThW/1DLqm0GJQKsLdFYW+Lwt4OVd7cKOxsKdbzMxqd9CWlb1sG/uNteE6tWrUICAhg8ODBtGvXjiFDhhAdbXzxa0dHR7y9vfn222/TSpj9l4iIiHQrvrCwMHx9ffH09MxwzAcPHtCwYUPq1avH+vXr30vR0z15yJNvhxGzdgnae7dAp0NKSUr7Qq8j5coFopbPJGLOOAwJlsUZyJjGOy98Cc/0WGMRpDdI6PXWWfyWL1+eBQsW0LVrVxITUwU1b9687Nmzh/3792cawJFRWgOkPhC9vb2ZN2+eVewD89ycycnJdO3alWvXrqW5phYsWMCZM2f4/fffs9zLMYVu3bphY2NjkXvX8OROarSmBSQlJTGylzuzZs1CrVYzffp0wsLCGfz9UhzcBmBfvRFCvoKgtk11gaptERwKoa7SENsmPVCXqW7RTL5SpUpEREbSefJYul3ez60xXfAtrGA1MVyoXgKDZ1ca3T1MjVWzyVe9AnPnziUkJIRly5alG0ehUDBgwACuX7+OWq2mUqVK/Pzzz1m63l9kxIgRBAQEUK5cOfz9/V9K0/lv8vqSJUvo3r07hQoVemmsoKAgGjRowFdffcW8efPey47p2gfBRMyfhPg0FkmTRT6mJCFpNegePyT8h7EY4oxLf5KxnHfe1Xn5RiJTFgTzLNn81QGk1snYs6YGSgtC1v9L//79gdQw7eeEhYXRqFEjPD090yWsQ6qwODs7c//+/ZdC+nU6HWXLlmXbtm18/PHHFtv21VdfUa1aNUaMGGHU+bGxsXTo0IESJUqwevVqbG1t2bFjB8OGDePUqVNW6eP3IqdPn8bDw4ObN2+aVZ9Re/kI4pNgyw0pWg67ahnXn3zVXLx4kbZt23Lr1q10KTEhISFs27YNX19fbty4Qfv27fHw8KBVq1aEhoZSv359/Pz8Mq29eunSJYYPH45Go2HZsmXUqVMnW1uWL1+elpPXtGnTNDc+QOXKldm0aRNVq1YlMTERV1dXTp8+zQcfpN86OHLkCF27dmXx4sWvrQD760YfE0X4D95IySbWqVUoUBYojPP4uShsTNjXlTGLd3665ZBXicEyzQNSc/qsKXqQ2jvszJkz6VYuRYoU4cCBAyxYsIBVq1alO9/e3p5GjRqxf//+l8ZSq9WMHDnSKu5EMG3F99w1VadOHTZs2ICtrS0XL15k4MCBbN++3eqiB1CvXj0aNWrE3LlzzbrekGJmgez/oDBYo5u8eYwbN47Jkye/lAfq6uqKl5cXJ0+eJCgoiNq1a7NgwQKKFCnC5MmT6dOnD126dOHp04wDKGrUqMHx48cZMWIEHTt25KuvviIqKipLWwYOHMitW7eoUaNG2u+zJIqISc+IjfzX1fnrr7/SpEmTl0Rvy5YtdO3alU2bNr23ogeQ4Lc161VeZogiYnwsSWePWd8omZd451d8kiTRa+RVomLNb3wqCNCkniMThlm/x9fly5dp3rw5J06cSFd67NatWzRp0oRFixalS+5dvnw5p0+fZu3atS+N9fTpU0qXLk1gYKDRtUAzwpTC1EFBQbRt25bRo0fj5eUFpHZCqFevHj/++CMeHh5m25Ed9+/fp1atWly+fJnixY3rKB4cHMyKFSv4xEFPuzpVLbZh36XbbP77AS4uLpQsWTLd9/z587+yoIQDBw7g6enJ1atXUauNq2YTHh7O9u3b8fX15ejRozg7OzN79mzat2+faa5mfHw8U6ZMYePGjWklwjJzWa9fv56fly+jbEo83zSthxAdCUolBp0OlZ0dueo1xmPeUub9to66deumXbd48WLmzJnD7t27qV69uukfxjuCqEnhyYSBSDrzJ0vKAoUpMmWJHOzyinnnhQ9gm18Ev215gkZr3tLPoE/GUdrEJJ/+VmvN8yI//fQTK1as4MyZM+m6b//999+0atWK1atX06ZNGyDVjVWnTh3CwsIy3P/w9vZGFEWLSpnt2rWLhQsXcvDgwSzPy8g19ezZs7QqNRMmTDDbBmOZOHEijx8/Tucu/i+iKLJ///60FfaAAQPwdm9OnvhQi1waEgKhSidOP0nk4cOHPHjwIN13nU73khiWLFky7WcXFxfs7e1Nvq8oinz88cdMnDjR7InF88mJg4MDDx48oEmTJnh4ePDZZ59lWBknKCgIT09Pnj17xrJly6hXr176z0KSiNm5mbAtaxEEBXYZfLAiAnpRJG+5CjgPG4fCqSDjx4/nr7/+Yt++fRZN1t4FEk/sJ/7PdUhajdljCDa2FPSchG0ZOZ/xVfJeCF/iMz3dR1xBqzPvrRg0j7l5cjBarZbq1avj4+NDixYtrDbrkiSJrl27Urhw4ZcCD06dOsXnn3+Or69vWi+zypUrs2rVqnSz5uc8fPiQ6tWrc/fuXRwdHc2yx5jC1H/88QfDhw9n06ZNNGvWDEh9IHfu3BkHBwd+++231zIrTUhIoHz58uzateulUPy4uDhWr17NsmXLyJMnD0OHDqVw4cLs3r2bK2dPsnfG19jZWNB1QqHEpkFnFLkyLjkXHx/Pw4cPMxTFBw8eEBoaSr58+bIUx6JFi760wtq4cSOLFi3i9OnTFn3GN2/epGHDhmzbto379+/j6+vLoUOHaNCgAZ07d6Zjx47pmrpKksTGjRvx8fGhdevW/PDDDxQuXBhJFIn83488O3/SuIe6QoFgl4vFTwXO3nvAX3/9RYECxvdWfFeJXPE9mmuXLBtEEMjXrhv5Wmdd7UbGMt4L4QPYcziKFetDTSpZBmBro2D+Nx/w9/k9+Pj44OTkRGJiIrlz58bHx4cuXbpYpWVPXFwctWrVYu7cuXTu3Dnda/7+/vTo0YM9e/bw8ccf4+Pjg729fabC1KtXL2rUqMHYsWPNsqVRo0Z88803mSaaL1q0iHnz5rFr1650rikfHx/OnDnDgQMHXmsI+i+//ML69es5cuQIgiAQFBTEsmXL2Lx5My1btqRmzZpcvXqVPXv2UKlSJdzd3XF3d6fok7+Rnma9d5UVglMRbOu0M/t6URSJiIjIUBSff4+OjqZo0aJpQlisWDFWr17NmDFjaNu2LS4uLjg5OZktgBs2bGDatGmcP3+evHnzkpCQwJ49e9i6dSv79u3j448/xsPDg06dOqV1E3n69ClTp05l3bp1TJkyha6OahKP7jNpJSNKEkmSQJnZP5GnqGXl094VwuaMR//wrsXj5G7cBiePzBP/ZSznvRE+gA3bw9i0M8xo8bO1UTBlVGk+rpq6/6HRaFiyZAk//PAD9evXJyoqiidPnjBmzBgGDBhgcffns2fP0r59e86cOZOWFP2cHTt2MHjwYPz9/YmMjGTs2LGcO3cuw3ECAwP5/PPPCQ4ONlmAsipMLYoi48aNY/fu3ezduzeda+p///sfs2fP5vTp06999m4wGKhRowZubm6cPXuW27dv06BBA5KSkjhx4gS1a9fG3d2dTp06UbRo0X+vCw9BF3Q0tRanqShVqKs3R1no1T60NRoNjx49ShPDTZs2ceXKFSpXrsyDBw948OABoihmumIsWbIkJUqUyNKlOnDgQFJSUli3bl06AU1KSmLfvn1s3bqV3bt3U7VqVTp37oy7uzsuLi5cvXqVWaNHMKmIHbbmpB0oFOSu9QnOw1+9S9xaSJJEQkICMTExxMbGEhMTY9TPsbGxrHOrw8dFLP/byNPsMxw79bHCu5HJjPdK+AD8A2JYvi4UvUEiOeXlPT9BSBW8/I4qJg4rTfkyuV46JzIykqlTp7J582Z69uzJgwcPCAgIYNiwYXh6emaYn2Qs8+fPZ8uWLRw/fvyloIUNGzYwbtw4/P39qVevHtevX8+0p1+zZs344osv6N27t0n3P336NEOGDOHSpfQuGa1Wy4ABAwgJCWHnzp3kf6H6x6FDh+jRo8cr7w2YEWFhYfzyyy8sXLiQhIQEKlWqhKBQM2S4F5WqVKVgwcLY2dqQ215N/nz2qFT/PqAlSSLUfwu5k6LJZWvCDfSRywAAIABJREFUBEGhQlm8HOpK9V/BO8qc+Ph4ypcvj7+/P1WqVEl3/L8rxRd/fvToEQ4ODhmKoouLC4UKFaJTp06MGjWKL7/8MsN7azQaDh48iK+vL3/99RflypVLFUFVCvx9FsHMQgCCWk3JH9egzGNZIXRT0Wq16UTJWAGLi4vD3t4eJycn8ufPT/78+dN+zujYiz9r/viFlEunLTNcpcKhfQ/yNv/MOh+ETIa8d8IHYDBInLoYz+ad4dy6l4RSIaRWsxAEPqmVjy5tnalQNle27qPr16/j4+PD9evXGTlyJEFBQfj6+tKzZ0+8vLzManIqiiIdOnSgUqVKzJkz56XXV65cyezZs6lUqRIeHh5puYD/Zffu3XzzzTcEBgaa5AabP38+9+7dY+nSpWnHnj59iru7O3nz5mXjxo3pVg83b96kUaNGbNq0iaZNmxr/Ri1AkiROnz7N3Llz8fPzw8nJifj4eNp16MxXQ0fjXKTYS4/h5x9B3lw2OBfIjb2tGn9/f3r36sWZtQtxMiSiNiZdRalCUaQM6soNX3tk3cSJEwkLC3spzSU7RFEkPDw8S3GMjo5GFEVq1KhBhQoVMtx3dHR0RBAEdDodhw8fZqfvFoYmh2JnQWECQW2DU8eeOLYzPUhHkiSePn2a6QorKwHTaDSZClRWAubk5GR0FO1/Sb4SSMzqhealMzxHpabIpB9RFbR+GzKZf3kvhe9FRDF15adQgJ2twqyH2cGDBxkzZgz58uVj4sSJnDhxgpUrV9KiRQvGjh1rcv3DqKgoatasyc8//5wWzfkic+fO5ccff+Tjjz/mr7/+yuR9iVSpUoWlS5emBZ8Yg7u7O126dKFHjx4APHnyhDZt2lC/fn2WLFmSLtAiOjqaevXqMX78+ExXCtYkOTmZpUuXsnjx4rS8svbt29OzZ09q1G5MQpLOqGosggAxYffo4v4ZW7dupaSLCwt8PBnb1Q2H3PYZC6BSBWpbVGVroixe/rWL3qNHj6hWrRqXLl3CxcXF6uNrNBoWL17MsmXLmDRpUoZCKYpiuhVj/QJ5aBB5D5U5ruIXUBUtgc3I74xyF754LDY2lly5chm12vrvsTx58rz2/0NJFHkyaRCiBQWobT6oROGR31nPKJkMee+Fz1oYDAbWrFnD5MmTadasGRMnTsTPz48FCxbw4Ycf4uPjQ8uWLY3+Yzt27BjdunXjwoULGValHzVqFEuXLiUsLCxd5N2L/O9//2Pbtm0Z1vfMiP8Wpr5x40ZaN4kJEyaks12j0dCqVSvq1avH7NmzjRrfXPz9/Zk6dSqnTp1CoVDQtGlTRowYQcuWLVGr1TwMe0r8Mw2m/KampCSDNo7atf7P3nmHRXG1ffjeQhMUBWyxYsEao6AI9t5QVEzsDWvsRuwl9t41auxiQ41gAxtYooJgR40xoKCCXUA67LJ7vj/42FdCW5ot3te1V8zMmTNnht35zXnOU2phZ2eHhYUFLi4uBN+6ivzVI0RcJCJJiUSug8SwMPLyNZEUKfHJ4qeGDh2KiYlJvt/rAQMGIJVK2blzZ5p9kZGRqYTQ4O/b1H//HN1c3pK38YnYX7ybbQErXLhwjmdfn4qoM25EnXGFLMqQpYdEVw8Tx18wqJn3IVXfSM034csmMTExLFu2jA0bNjBixAh++eUXPDw8WLZsGXK5nMmTJ9O9e3etPEHnzZvHhQsX8PLySuPSLoSgePHiFC9eHF9f33QdaxISEihfvjznz5/Xqv7do0ePaN68OSEhIfj4+ODg4MCSJUvSmFOFEDg6OhIVFcXhw4fzPJ+iEILbt2+zcuVKjh8/TlxcHLVq1cLJyYmePXumundhkfG8eBudLdFLQSKBf/y9mTvnV+rWrYu5uTm//vprHl5J3vDgwQOaNWuWp9XnITnNXXR0NJGRkURFRREVFcXr168ZN24crVu3pnr16prtH7ZJ+TQvpMuYKqUxkOcuB6u0oDHl1+/Lo6v6vBEKBa9XTifp9XPQMhcqADq6GNSwxGTQL9+C1z8C34Qvh4SGhjJjxgw8PT2ZO3cujo6OnD17lmXLlvHkyROcnJwYNGhQpp6gKpWK1q1b07RpU2bPnp1m/6+//oqbmxulSpXi+PHj6OmlzeE3f/58nj59yrZt27Ics7OzM6dOnaJXr14MGTKE3bt3p2tqXbRoEa6urly6dCnXnqwpqNVqrl27houLC/v27SMqKorChQszaNAgZsyYkSYtFyQL5MMnYShzWgEWOLB3Ow3qfU///v0JDAz8LOPJOnfuTJMmTXBycgLSF6yMBCqzNgqFgkKFCmFsbEyhQoU0H7VazcWLF+nduzfm5ubptilUqBCGTwNQuu5GJOauCLK8eEnKLt2aF7fqi0AVE8Xb1b+SFP4WkrKe+Ul09dCtUBWz4VOQ5EHo1Dey5pvw5ZIbN27g5OREREQEK1eupHXr1vj5+bF8+XIuXbrEiBEjGD16dIaeoC9fvsTS0pIDBw6kqT/n5+fHoEGDqFatGkIIDh48mGYm+e7dOypXrpypB2gKw4YNIyoqikuXLnHs2DHq1auXps0ff/zBhAkT8PPzy3VhUJVKxeXLl3F1deXQoUMoFAoSEhI0cYSNGmXuQBIbryD4+XtyU3UqMTEB170biY+PZ+3atTnvSAtyIljPnj3j/v37lC1blujo6EwFK71tmbUxMDDI8P5u27aNtWvX4ufnR4ECaT2bAZLeRxAycRBCi4d3RihUak6FxRJu1YROnTpRt27dr7Iiw79RJyYQ4bKFeH8/FAoFuumtK+vqER8Xh7BsROXB47QuX/WN3PNN+PIAIQTHjh1j0qRJWFhYsHz5cqpXr05AQIAmfKFXr144OTml6wl6+vRphgwZwu3bt1MJpEqlomTJkly5coUxY8ZQokQJdu7cmebBMXLkSExNTZk/f36mYyxWrBgGBgZcuHCBihUrpmlz7do17OzsOHv2LHXq1MnRvVAoFJw/fx5XV1eOHj2qmclFR0czatQoTYFSbXj6MpLImJynf0pGMHPyGNavWZ5hyqwUwcrujErbGVZGglWwYEFmzZqlcTbSRrDyCiEEffv2xdDQkC1btqTb5vnz5zycM4FyihikORyPkMl43W0ox/68zIkTJ4iIiMDOzo6OHTvSunXrPLMofK5EvX7JnK7tmdDMGmKjQK0GmQy5aXEKtrJn782/OHzsOGfPnv1m4vyIfBO+PEShULBx40YWLVrEjz/+yJw5cyhWrBivXr1i/fr1mXqCTpkyhXv37uHu7p5K2Pr374+trS39+/enXbt21K5dm3Xr1qX6kQQGBtKgQQOePHmS7oNEqVTi6OiIi4sLISEh6QrPs2fPsLW1ZdOmTdjb22frulMCod3c3PDw8KBixYoULVqUO3fuUKFCBUaPHo2Dg0O2g+0DnoaRoMjGOkk6JCUp2e+8hXevnmYpWNmdUWVnhpUeR44cYc6cOdy6dSvPahlmh+joaKysrJg7d67GyxeS14KXLl2Kq6sr0/v2wCH+NeQg8bJaCG6HR3NQrxiLFy+mcuXKPH78mBMnTuDu7s61a9do1KgRnTp1omPHjvnizfqpOXjwIDt37uT06dNAclV2yQd/a6VSSc2aNVm7di3t2rX7VMP8z/FN+PKB8PBw5s+fz549e5g0aRLjxo1DX1+f6Ohotm3bxurVq7GwsEjlCapUKmnSpAndunVj4sSJmr4OHDjA3r17cXd3JzIykhYtWtC+ffs0xWy7dOlCmzZtGDlyZKrtsbGxdO/endevX2NkZMTFixfTjDc6OpqGDRsyYMAAzTpTVkRFReHh4YGbmxtnz56lbt26WFlZERQUxLlz5+jWrRujRo3K8cwR4OGTdyiUuas5pVaruX/bl6SE93kmWHlBUlISNWvWZM2aNZ/0gXfnzh1at26Nt7c3CQkJLF68GC8vL0aOHMmYMWNITEzEd5wjNQx1s+3dmSSRMvBPf8rUs+HcuXP07t2bX3/9VeOlHBkZyZkzZzhx4gSnTp2iTJkydOzY8asyif7444906NCBQYMGZdjm6NGjzJo1izt37nySF6D/It+ELx8JCAhgypQp3LlzhyVLltC9e3eNyB04cIBly5Yhk8k0nqDPnz+nXr16nDhxQpOgOiIignLlyvH69WsMDAx4+/YtTZo0wdHRkcmTJ2vOdeXKFRwdHXn48KHmx/P27Vvs7OyoWbMmZmZm6eb/VKlUdO7cme+++47NmzdnKgBhYWEcP35c4/jSuHFj7O3tUSqVODs7ExYWxsiRIxk0aFCqzC/ZQaVS8ejRI+7evYvpd1UwK5b5umVWJCmVlClZhKJF0l/H+lRs3ryZQ4cO4eXl9clNXJMmTWLLli0UKFCACRMm8PPPP1OwYEG8vb3p3r07o4cPp5+IQBH6VOuZn0RXj+JjpvNQKaFPnz5Ur14dU1NT3NzccHJyYvz48akSJSQlJeHr68uJEye+GpNoTEwMpUqVIjg4ONPfgxCCxo0bM2jQoEwF8ht5iPhGvnPx4kVhaWkpbGxshI+Pj2a7Wq0WJ0+eFM2aNRPlypUTa9euFfv27RPly5cXERERmnaNGjUSJ0+e1Px/aGioMDc3F5s2bUrVl7W1tXBzcxNCCPHo0SNRqVIlMXPmTKFWq0Xjxo3FmTNn0oxt3LhxomXLlkKhUKQ79hcvXoiNGzeKli1bikKFCgkHBwexb98+cffuXTF16lRRtGhR0a5dO+Hu7i6SkpKydV9evXolPD09xcqVK0WfPn2EhYWFkMvlokCBAkJPT08sWLZe3HrwXPgHvM7x5/bDFyIqJiFb48pvYmJiRMmSJcX169c/2RjUarU4c+aM5rtnaWkphg0bptm3adMmUbRoUeHu7p68TaEQrzYsEUFDuorHgzqLxwPs0v0EDf9RBI/qJeIDH2jOFRsbK0aOHCnKlSsn9uzZI7p16ybKlCkjdu3aleF35tGjR2L16tWiZcuWomDBgqJ9+/Zi48aN4tmzZ/l/c/KIAwcOiHbt2mnV9urVq6JUqVIiNjY2n0f1DSGE+CZ8HwmVSiWcnZ1F6dKlRY8ePURwcHCq/b6+vqJbt27CzMxM1KtXT3Ts2FGo1WohhBArVq0Vm3a6ir+exgr/oBhx70msuPXwtWjYpJXYu3evpo9Dhw6Jhg0biuvXr4tWLVuKI26uIiryvXgfES5q1qghIiMjU51zw4YNomrVqqlEVgghgoODxapVq0TDhg1F4cKFRZ8+fYSrq6uIiYkRXl5eokuXLsLExESMHz9e/PPPP1lee2xsrLh+/brYvn27GD9+vGjRooUoUqSIKFCggChZsqQoWrSo0NXVFTVq1BAjRowQBw4cEE+ePBGx8QpxNzDnoucf8Frcf/xGcx8/F+bPny969OjxSc6tUqmEq6ursLKyEtWrVxd79uwRSqVSvH//XlSoUEHs3btXDBo0SFSvXl0EBASkOV7x+oV4u+d3ETSsmwga/qMI+vknEfTzTyJgYCdxsZ+9iLnhLdQZiJmHh4coWbKkmDJlirh48aKwtbUVP/zwQ7ovZB/y/v17cfDgQdG3b19hamoqfvjhBzFz5kzh5+cnVCpVntyX/MDBwUFs375d6/Y//fSTWLBgQT6O6BspfDN1fmTi4uJYuXIla9euZciQIUybNg1jY2PN/sDAQJYuXcquXbv4qWd/nGYuQ6HWSXaJ1tNP3ZlQ8+zJIwrrK2nbvD5KpRKnX8bTt3cvzMzMkMt1AIFKpUKpVFKwUCGMi5hQwNCIs2fPMmDAALy9valYsSL//PMPrq6umtptnTt3xsHBgZYtW6JQKNi9ezcbNmxAJpMxevRo+vTpg5GRUarhqNVqgoKCuHv3Lvfu3ePevXvcvXuXZ8+e8d1331GoUCESExN58eIFRkZGNGrUCBsbG2xsbKhTp06qIr0p5MbBRa1W8V3RQhQz+XzMZG/fvqVatWr4+fml61mbXyiVSlxcXFiyZAlGRkZMnz4de3v7VOtoHh4edOnShZYtW/LHH3+kG1uZglqhIOntK9RxsUh0dHgVG0/dZi14/fp1pmtzb968YciQIYSGhrJ3717+/vtvpk6dSoUKFVi2bFmWFdq/FJOotmbOD3n8+DH169fnwYMHFCv2LVdnfvJN+D4RL168YNasWXh4eDB79myGDh2aKkbP5/pfJMjM0NXTz3KRPyE+DkNpDKb6ChSKxAzjsgAkEgkqtRqHn3owfvx4goKCcHV1JSIiAgcHB7p160bjxo2Ry+U8fPiQDRs2sG/fPlq2bMno0aNp0qQJEomEt2/fasQtReAePHiAiYkJFSpUwNDQkPj4eEJDQ3nx4gV16tTBxsYGW1tb6tevT6lSpbS6T5ExiTx7FZmjzC1SiYSq5qbIZZ+Pk8TYsWMBWLdu3Uc5X3x8PDt27GD58uVUrFiR6dOn06JFizTripcuXaJnz55YWVnx8uVLvL29002YkBk1atRg165d6caHfogQgq1btzJjxgzmzJnD0KFD2bJlC/Pnz9c4bpUurV05qM/VS/TAgQPs3r1b63SCKYwfPx6lUpmmYPU38pZvwveJuXPnDk5OTrx8+ZIVK1bQvn17wqKSePQyQevAbT1JAkVkEWhTfACSHUhiY2MZOXYcNja2dOvWjfr16yOVSlGpVLi7u/Pbb79x7949HB0dadKkCW/evNEI3L179zRpxiwsLDAwMCAuLo6nT59y69YtTExMNCJnY2PDDz/8kKuci6/exfD2fVy2xE+lSsKiXFEMDT6fXI8pb/R///13rkpbaUNUVBSbNm1izZo1WFtbM23aNGxsbNK0E0KwYcMG5s+fj7OzM23btqVbt26UKVMm2wH/EydOpFChQlqnhQsICKBPnz4ULVqUHTt2YGBgwLJly/j9998ZPnw4U6ZMSWUNyYp/e4mWLl2aTp06fRIvUQcHBzp16oSjY/YKyoaFhVGlShW8vb0/egmw/xLfhO8zQAiBh4cHEydO5PsfrPhl9kaQaPcjlaPETP5Oa9H78JxyuZxS5cyRSqW8efOGlStXsnPnTvT19SlZsiTv37/n2bNnVKpUie+//54aNWpgbGxMdHQ0AQEB+Pr6EhoaSr169TQmSxsbmzw30wgheBMex5uI2KzFTwhi42Kpal6MIsZGWTT+uPTs2ZOaNWsyc+bMfDvH27dvWbduHZs2baJdu3ZMnTo1VW2/D4mPj+fnn3/m9u3bHDlyRGN6jYiIwNLSklWrVtG1a1etz+3l5cWsWbO4evWq1scolUrmzp3Ltm3b2LJlC/b29oSGhjJr1ixOnjzJzJkzGT58eLZjQFUqFVevXv0kJtHo6GhKly7NkydPcpR7denSpfj5+eHm5pYPo/sGfBO+zwqlUon7uRuYlKyMjq52ZqYisnD0JYnaVOtJQ1JSEsdOuLNk2XLevXtHgQIFqF27No0aNaJWrVqUKlWK8PBwbt68ydWrV7lx4wbfffedRuBsbW2pUaOGVgm584K4BCVvwmOJjkt2qf/wmyuVSEACPpe8iIt6x/hxYz7KmLTlxo0b2NvbExgYmC8P3ZCQEFauXMnu3bvp3r07kyZNynQN8dmzZ3Tt2pXKlSuzffv2NGPy8/OjU6dOXLt2jfLly2s1hsTERIoVK0ZQUFC2c6JeuXKFfv360aZNG1atWoWhoSF3795l8uTJPH78mCVLluDg4JDj0I/Hjx/j7u7OiRMn8t0k6uLiwp49e7Jt5kwhPj6eqlWrsm/fPho1apSnY/tGMt+E7zNCrRZcD4xBpWXMthQVxeVvciR6Kbx89QrnvfsZN24ccXFx+Pr6cvXqVXx9fXn37h3W1tYak6W1tfVnkeQ5KUnN+5gEHgU94coVb37q5oBxIUPeh73GysqSx48fU7hw4U89TA1CCFq1akX37t0ZPnx4nvad4gzl5ubGoEGDmDBhQpYp4S5cuEDv3r1xcnLCyckpQzFJSbd36dIlrWdc9vb29O7dm549e2b7WqKiohgzZgxXr15l3759mrVCT09PJk2aRIECBVixYgUNGjTIdt8fkt8m0a5du9K5c+cMi0hrw549e9i4cSM+Pj6fPM7za+SjC59CqebGnQjCIxQolGqMDOXUqFKIUiUNsj74KycsSkngywTUWgqfkTQaI2lMts2cH6JQKFixei37XVwoX768RuRsbW2pWrXqZ5s9Iz4+nlq1arFq1So6deoEwLhx49DT00u3sv2n5PTp04wfP5779+/n2ez4zp07LF68mPPnzzNq1CjGjBmT5UuJEIK1a9eyZMkS9u7dS6tWrbJsb29vT5UqVVixYoVW49q0aRO+vr44OztrfS3/5tChQ4wePZqxY8cydepU5HI5KpWKffv2MXPmTOrVq8fixYuxsLDI8TlS+LdJNDw8HDs7Ozp16pQjk2huzZwpqNVq6taty7Rp0/jpp59y3M830uejCd/L1wm4uj/n+JmXSCSgUgnUAuQyCUlJgqqVjejdrQy2VqbIZP/NN5znYQqevtE+KbOpLAw9afZzKH6IWq0mPDKKyhZVsuVI8KmZPn06jx494tChQ0CyU0DlypW5f/9+rqtK5CUqlQpLS0vmzJmTrfWyjPD29mbRokXcvn0bJycnhg0blmnYQQpxcXEMHTqUBw8e4Obmhrm5uVbnCwsLw9LSkg0bNtCxY8cs2wcHB2NjY8PLly9z9dIUGhrKgAEDSExMZM+ePZrxplTZWLFiBT179mT27Nl56iiUW5Po/v372bdvHx4eHrkey7lz5xg+fDgPHjzI9hrnNzLno7zOHz7xnD4jr+Pq/py4eBWxcSoSEtUoFGri4lUolGruPohi7vKHDBp/k/eROS+D8iWjzmb9Hakkd3ksAaRSKRXMy39Ronf37l22bduWKiRgw4YNdO3a9bMSPUh+EBoaGtKlS5cc9yGE4MyZMzRt2pR+/fphb29PUFAQTk5OWolecHAwDRs2RCKR4O3trbXoAZiamuLi4sLgwYMJCQnJsr25uTlFihTh9u3bWp8jPUqXLo2npycODg5YW1vj7OyMEAIDAwOmTp2qSc1XrVo1Fi1aRFxcXK7Ol0LFihUZN24cXl5ehISEMHDgQHx8fKhTpw61a9dm1qxZXLt2DXUGZplDhw7RvXv3PBlLy5YtsbCwYNOmTXnS3zf+R77P+HYdfMreP56RkKjdQ1oul2BSWJcda6wobPz5uKLnN/Hx8QSGRBClLIBUql2iWjPZO3SluXtJEEJw/eYt3oVHUKFCBczNzSlfvny2Y7g+FiqVCltbW4YNG8aQIUOA5NmMubk5f/75J1WrVv3EI/wfCQkJVK1alb179+bISUGtVnPkyBEWLVpEYmIi06dPp3v37tkyl3p5edG3b1+mTp3KuHHjcrxetHTpUo4fP87FixezDE355ZdfMDU1zTPvVX9/f/r06UO1atXYvHlzqoDwR48eMW3aNHx9fZk3bx79+/fPl0TP2phEo6KiKF26NM+ePcuzNeb79+/TsmVL/vnnn89q3fpLJ1+F76L3W+avekiiInszE7lcgnlZQ7avtkSamwWsT4RSqSQsLIx3795l+nn16hUvX74kIiKCpKQkrBu2ZMFqZwoYZv0WD1BEFoG+JCFXzi0qlYrb/nfxOn+BoKAggoKCCAkJoVixYpibm1OhQgWNIKb8u0SJEp9swX3t2rUcOXKECxcuaMawYcMGvLy8OHLkyCcZU0asXLlSU/Q3OyiVSvbt28eSJUswNjZmxowZdOzYMVumQyEEK1euZOXKlezfv5/mzZtnd/ipUKvV2NnZUbt2bRYvXpxp27NnzzJv3jyuXLmSq3N+SEJCAlOnTsXV1ZWdO3emWZ/09fVl4sSJREVFsXz5ctq2bZtn506P9EyixYoVIyQkhHPnzuXpuQYPHkzRokVZNGsqqsf+qN+GIJSJIJEi0TdEVr4mslKVkcj/OxOF3JJvwieEoPuQa7x8k5Cj4w30pSyaXoN6dbKX5T82XsWNu1FERCaRlJTsPFPTwpDSJdOmw9IGlUpFREREliL24Sc2NhYTExPMzMw0H1NTUyQSCe/fv+fly5cEBQXx/v176tSpQ+PGjWnevDnW1vX5+6VALbR7wOlJEv8/cD0Xf0KJhDLlzZHJ/jeLSEpK4vnz5wQFBREcHKwRxJT/j46Opnz58umKorm5eZpUZnnF06dPsbKywsfHR+PYkJSUROXKldm/fz+2trb5ct6MEEKgDn+BiI5AJCmQyORI9I2QFivL+6hoqlSpwsWLF6levbpW/cXHx7N9+3aWL19O5cqVmT59Os2bN8/2S0ZsbCyDBw8mMDCQI0eOULZs2ZxcXhrevn2LpaUlW7duzbSUUkJCAsWKFePp06e5cvBIj7NnzzJo0CB69OjBwoULU6W5E0Jw9OhRpk6dSrly5Vi2bBm1a9fO0/OnR4qXqJOTE+/fv6dixYp56iX6+p97PDy2C+sq5kgAxL8mErLk1ISystWRV7dFovN5Wms+J/JN+Pz/isRpzl0SEnK+DlX3h8KsWZB57r4UgkPicTv1hgu+EchkEpJUAqEWyGUS1AIqlDWgu10xqlWAiIisZ2Mpn/fvk+u4fShiWX2MjY1JTEzk+vXr+Pj44O3tjY+PD4UKFaJBgwY0bNiQunXrAvDXX3/h7++Pv78/d+/e5af+o+g1cKyWcXyC4vI3yHKx1lfA0JBiJbVLH5ZCTEwMwcHBqUQx5d/BwcEYGRllKIqlS5fOkWejEIJOnTphY2OTyoTm4uLCpk2buHTpUrb7zClCmUjS8wBUTx+ASplcVVuoAQnIZCDg2tM3nL4XzKLV67PsLzIyko0bN7J27VpsbW2ZNm0a1tbWORrb48eP6dq1K3Xq1OH3339PVfonL7h06RI9evTgxo0bmaads7OzY8CAAXm23vUhYWFhDBs2jMDAQPbt28f333+far9SqWTr1q3MmzePtm3bMn/+/DwT/4xIMXMGBwfz999/55mbS9t6AAAgAElEQVSXaFJoAEm3vUCVlHVjqRSJQUF0G3VDYvB5JW/43Mg34Zu64D7e18JylGMxBV0dCS6brSleNO1sTQhBbGwsb9++xeVEOFduSVCpQJDx23GSMpbEuBe8+WchJoX1tRKxIkWKaPWgfvXqlUbgvL29uXfvHjVq1KBBgwZUq1YNIyMjQkNDNSIXFBREpUqV+OGHH1J9TEyLcvNRDGqh3Vu+oTSGgtLoHIU0JCYqMDYxpUTJktk/OAOEELx69SpdUQwKCuLNmzeUKVMmXVGsUKECRYoUSXeGc/DgQRYsWMDNmzc1Hm5CCCwtLVmwYAF2dnZ5dg2ZoY56h+LmWVCrkj8ZoEhKQkdHF51qtshLVU63zZs3b1i7di2bN2+mffv2TJ06lRo1auR4bGfOnKF///7MnDmT0aNH55s5esGCBXh6enLu3LkMfxu//fYbN2/eZOfOnfkyBiEEu3btYvLkycyYMYOxY8emmVlFRUWxbNkyNm3axNChQ9MkhM9L9u7dy8GDBzlx4kSq7emZRFOK7WblJap6/QSl30lQayF6KUgkyeLXvNe3mV8m5Jvw2ffzIfx97hwvdOQqqpV7gDTpYbqzMZlMRvX60zAu2QqpVLs/slwGpkV02bigCgUNcxZTpVar+euvv/D29taIXUREBPXr16dSpUoYGRkRGxvLgwcP8Pf3RwiRRuCqVauWrgNJYGAgY8ZPYfqSbf9fXSErBKayMHQkymyJn1qtxv/efcaMG4+zszMtW7bU/uBckJiYyNOnT9MIYnBwMI8fP0YikaQSxAoVKmBmZsaoUaM4fPgwTZo00fR19uxZJkyYwN27dz9KvKE66h2KG6e1e/tOQSpDXrke8rL/c7oJCQlhxYoV7Nmzh549ezJp0qRseVr+GyEES5cuZd26dRw4cCDVPcoPVCoV7dq1w8bGhvnz56fb5vHjxzRq1IgXL17k63rw48eP6du3L0ZGRuzatSvdWejz58/59ddfcXd3Z/r06YwYMSLPwwM6d+5Mt27d6N+/f4ZtIiMjOXv2LCdOnODkyZOawPmOHTtSr169VN9hoUwk8fT27H3XUpDKkH5XCd26+bvO+SWTb8LX+qfLxOfCzAkglSipWjaQ76skpZmJmZqacsE3jt/3hZKoyN4lyOUSKpUzYO1sC61+lDExMVy7dk0jdL6+vhQpUoTKlStjbGxMQkICT58+JTAwEHNz8zQiV7JkSa3O4+vrS9euXZk3bx49+jji/zgStQAdncx/pDKJGhHxkCKFDNHTy/oHrVarOXLsOB06diIkJARHR0f69+/PvHnzcpVMOrcIIYiIiEgjiu7u7sTGxhIfH0+xYsU0gvjnn3/SunVrBgwYQIUKFShevHi+PWSFMpHEK66QlIO4SakM3TqtCXwbydKlSzl27BiDBw/ml19+oWQuZ9sxMTE4Ojry9OlT3NzctK5qkFtev36NpaUlzs7OGQbCV65cmT/++CPf19mSkpJYtGgRGzZsYOPGjXTr1i3ddvfu3WPKlCkEBASwePFifvzxxzz5vkRGRlKmTJlseXNm5SWq9+oRSQ+8cyZ8AFIZeu0GI9HNmW/D106+CV/7Xt5Ex+Twj/b/FDCQMWWMBS0bp016rFILeoy6R1RMzmq16etJWTSpIjWrpLWFh4SEaEyWV65c4e+//6Z06dIUKVIEpVLJ8+fPUSqVaQSuevXqOV5TOXbsGEOGDMHZ2ZkOHTrw/PlzmrdszX63s6hkxgiRfM0pP1QJAiQSTIxkbPttCSFPAtiwfh0RYWEkKhIx/FdpIiEECQkJGBkZUdjEFLejx5g9ezY+Pj7I5XIGDhxIWFgYLi4uVKhQIUfXkB9cuHCBAQMG8Ndff2FgYKBxujl//jzr1q2jffv2PHnyhKCgIGJiYjSzxX+bUXPrdKMMvocq6E6m5s3MePgyjDYTlzJ69GhGjx6tdY22zAgMDKRr165YW1uzcePGdOsZ5ifnzp2jX79+3Lp1ixIlSqTZP3bsWEqWLMm0adM+ynh8fX3p27cvjRs3Zt26dRnGOJ47d45Jkyahq6vLihUrtA41EWo1785fJWSXKwkhL1ErlOiaGPPUzJCDbx5z+FTOg9b/bRL9a8MMihbMxfqsTI6smg06lSxz3sdXTL4JX58R13kamrug0gIGMpbP/p4faqS1y1+9FcmSTU9yPKuUSMCmjjGzxpTl7t27eHt7c+HCBa5cuUJcXBwmJiaoVCrCwsIoW7YstWvX1ghcrVq1KFOmTJ7NLjZs2MDChQs5fvy4xumlW7du1KhRg3nz5pGoULBj92Hu//2ImrVq065tG/R1pZgV0mHd2lXs3buXK1euYGhoiFqt5tRJD9RKJdWrV0Mu10EilaCrq8vI0WOYPWeuptjn4sWLOXDgAJcuXaJgwYKsW7eOhQsXsnbtWnr37p0n15Yb0ktLlkL37t2xtbXll19+0WxLcbpJz4waHBxMwYIFM1xbLF26dIbxX0IIEi8dBEXOPJQBktQCrNpjZJZWIHKCh4cHjo6OzJ07l59//vmThZfMnj2bK1eucPbs2TT379SpUyxevPijOh7FxMQwfvx4Lly4wJ49ezLM66lWq9m/fz8zZszA0tKSJUuWZFgGSK1Q8GTDXoJW7yApOhZVTOrnmlImQS6VUbqHHZVnjsawYu4caaJCg5Be90CeG29tAENj9FsPyF0fXyn5Jnx/nAhls3Ow1oHr6VHEWIdju23TjeWbMD+A+wGxuRkiQq3k6gl7UMcghEAIQfXq1alfvz61a9emVq1a1KxZM99KmKjVaqZNm8axY8c4deqUZp3n2LFjTJ48GX9/fwICAhgwYADfffcdRYsWxcrKijFjkisPnDp1isGDB+Pr65vKa83V1ZUVK1bw+PFjtmzZoskaMnPmTOLi4li1alXy9QvBmDFjePDgAadOnUJPT4/bt2/Ts2dPbG1tWb9+vVaZQfKLf6clS+HRo0fY2tpqPEi1ISunm7dv31K6dOlUa4spoljJ1Ai9oBvJHpw5RSJFVqYqOlVy5q2ZglqtZtGiRWzatIlDhw7RsGHDXPWXW1QqFa1ataJ58+Zp6vClmKZDQ0M/emagI0eOMGLECIYPH87MmTMzNOEnJCSwbt06li9fTvfu3Zk9e3aqslrKyGiu2Q0h6u5D1PFZvPhIpcgKGFDv+GZMG2dejDczVC8fo7zpmTOz+ofIddDvOCJ3fXyl5JvwxcQmYd//KopsBq+noKcrxbFXOfr+mP7bU+eh/rleQxSqOCyK+9G6aQV++OEHypcv/9HenBMTExk4cCDPnj3j+PHjmgTD0dHR1KhRg507d+Lr68uaNWtYtmwZAwcOpHfv3nTq1InevXvz8OFDmjRpwpEjR9I8/JycnDA1NaVt27Z07NiRxYsXM3DgQAICAmjcuDGhoaGaB4FKpaJ79+7o6uqyb98+pFIpMTExjBs3jkuXLnHgwAGsrKw+yj35kLt379KqVSv8/f3TrIONGDECMzOzDB0rcsKHTjf/FsX235dnWi87dHKZYFpiXBQ965x7n0ZFRTFgwABevXqFq6vrZ5Oe7cWLF1hZWeHi4kKzZs1S7WvXrh1Dhw7NcN0tP3n58iWOjo5ERESwd+9eKldO37sWkkMkFixYwJ49exg/fjwTJkxATybHp0lPYu4HolZoL0IyQwNsPHdTuF6tHI1bFRqA8s45SMpl6kapDH37Ubnr4ysl31zhjAzltGpcFB2dnAmJQqGgeYNCmezPfZ5KQyMjevUeRJcuXTA3N/9oovf+/Xvatm2LUqnEy8srVVb9mTNnUrduXaZOncqff/7JzZs3cXR0RCKREB4ejomJCREREdjb27NkyZJ03/h9fHxo0KABVlZWXLx4kdmzZ7Nq1SosLCyoVKkSp0+f1rSVyWTs3buX0NBQJk2aBICRkRHbt29nwYIFtG/fnpUrV2aYmzA/UKlUDB06lIULF6YRvdevX3Pw4EHNrDev0NPTw8LCgnbt2jFy5EiWL1+Oq6srt2/fZs6sGbkWPSBXD7J//vmH+vXrU6xYMS5evPjZiB7Ad999h7OzM3379uXNmzep9rVv355Tp059knGVLFmSkydP0rdvXxo0aMC2bdvI6D3f1NSU1atX4+fnx/3797GwsMC1Y39iHjzKlugBqGLjuWY3BFWC9gnnU6GjC5mEZWmN7OPUyfwSyVcf8HHDKlHMVC/b1RZ0dSWUKHSFFs3rc+vWrXTb5EUFBwmgp/dxy+48e/aMhg0bUrt2bQ4ePJjKGebq1avs2LGDS5cuMXToUM6cOZPKhBkWFoaxsTE9evTAzs6OQYMGpek/ISGBu3fvamqZValShStXrrB161amT59O//7905SMMTAw4Pjx45w+fVpjBgXo0aMHfn5+HD58mPbt2/Pq1au8vh3psmHDBvT19Rk8eHCafevWraNnz555XuU9M6SyPPJ0zWEOyePHj9OoUSMmTJjA5s2bP8s8qm3atKF///7069cv1UtS+/btOX36dIaCk99IpVLGjBnDxYsX+e233+jatStv377NsH3FihU5cOAAh/fsQ/fSbdQ5FC+1UsnLwzkTfKlx0Rw7UX2IxDjvqlZ8beTrU9+wgJwNS2tTspgeOnLthEpPV8ovwyvzx77ZzJs3j3bt2qU74yhcKPdvMyo1mBX5eO77d+7coUGDBgwZMoQ1a9akcga4f/8+rVq1omzZsty4cYNhw4almYGGh4ezZcsWJBIJy5cvT/ccN2/epFq1aqnWJcuUKcPly5fx9PTk6tWreHp6EhYWluq4IkWKcPr0adasWYOLi4tmu7m5OZcuXaJevXpYWlpy5syZvLgVGfLs2TPmz5/Pli1b0sTmRUdHs3nzZpycnPJ1DP9GYmCUJ2/PEoPsrZeq1WrmzJnDqFGjOHHiBEOHDs31GPKTefPmERcXx9KlSzXbKleujJ6eHvfv3/+EI4MaNWrg5+eHhYUFtWvXTmX1SI+Sj16in4usN6qYOB4v35qjYyX6hkjMchmWItdBbvHxlyi+FPJ9umNmosf2NVZ0aFUCfT0pBvppTymVJs+8LCoasXx2TTq1STZv9ejRg2vXruHq6kqHDh14/fq15phOLYuiq5u7WZ9JYTnlS38cF3BPT0/atGnD6tWrU3kiqlQqVq9eTf369SlbNtnDtHz58un28erVKy5fvsyBAwcyzJiRYub8N2ZmZpw/f55nz55hbGzMnj170rQpU6YMHh4ejBs3jvPnz2u26+josGDBAvbt28eQIUOYOHEiimyaf7RBCMHIkSMZN25cuh52W7dupWXLllSsWDHPz50Z0qJlyVUKIgCZHHmZalo3j4yMpHPnznh5eXH9+nVsbGxyd/6PgFwux8XFhbVr12oSVEskEtq1a4fnmVOoYyJQv3+DOjockQsP2ZySUqR47969DBs2jDFjxhAfH59u2+B1zqhi09+nLfFPQol+8ChHx8orW/5/Ds4cItNJ/t5+I10+ip3PsICcSaMsOLG3AaMHV8SiohFmJroULqTDdyX0ad+yBFtXWrJjjRWWtVIntS1fvrxmxlGnTh3Nm1q7ZqaQi2eRvp6U7nb5F/D8ISnrH66urqmqKT969IhmzZrh4uKCrq4uHh4eGbrUX7x4kfj4eE6cOJFp4t+MhA+gYMGCmowRs2fPJiYmJk2b77//nkOHDtGzZ0/8/f1T7WvevDm3b98mMDCQBg0aEBgYqM3la82hQ4d4+vQpkydPTrNPoVCwevVqpkyZkqfn1AaJXAdZyYrkat1FRx9JYe3Msw8ePMDa2pqyZcty/vz5dGPkPldKly7Njh076N27N+/evUMdE8GETo0YVN0ExbWTKG57orh+isRLh0i8eRZV2IuPbgZt3rw5/v7+vH37Fisrq3RrByaE5t6sL9HRIf7p8xwdKzUrjcSoCEiy/4hOUKpIqlDnk4W4fAl81AUuA30Zndt9x441Vhx1tsV9XwMOba3PtLFVqFAu45ABuVzO/Pnz2b9/P8OGDcPJyQl9XRW2lsZam1D/jUQCzW3zNnP8vxFCMH/+fObMmcPFixdp3LgxkGzCWr9+PTY2Njg4OFC4cGGmTZuWYeD4s2fP6NGjB4UKFaJatYxnDUIIrl69mqHwAejr63PhwgWSkpJo1KgR4eHhado0a9aMDRs2YGdnx5MnT1LtMzMz4+jRowwaNIgGDRpoCoTmlvDwcMaPH8+WLVvSTSfl4uJC1apVsbT8NAG5snLVk00TOUEqQ27+vVYPIjc3N5o2bcqUKVPYsGHDF1l5u0OHDgzo05ugY9tR+LnznSwRfR15cjhIkjL5v0KNCH+B0v88iVdcUcdGftQxFilSBBcXF6ZPn06bNm1YtmwZKtX/1tXUibkvhi3UalSxOYtllkgk6DbsDPoFsid+Mjk+IRHY/jgwzW/3G//j43p25JJmzZpx+/ZtgoKCsLW1xa6JApPCOtl+HunpSpgzvgIG+nlfsDKFpKQkhg0bxtGjR/Hx8dEIVlBQEC1atMDFxQUfHx+KFSvGmzdvUpk/PyQ2NhZ7e3sGDhyY5Zt/cHAwMpksy+S3enp6jBo1Cl1dXZo0acLz52nfSn/66ScmT55Mu3bt0qwHSiQSRo4cyfnz51m2bBl9+/YlKioq03OGRwuuPBCcvCE47ic4e1vwIESQpEoWzcmTJ9OtW7d0Swup1WqWLVuW7kzwYyE1LIy8Sj3Qskjw/w6UITUthayURabNVCoVM2fOZPz48Xh4eKTruPSlIJSJzLCrR5WSpqBWZT5PViVBQgwKP3fUUWGZtcxzJBIJffv25fr167i7u9OqVSuePXsGgMwg9w5EEqkUeaGcZwuS6Bqg16wXkoJFsjZ7SiQglSOzqEe78XMYPHgwDRo04OrVqzk+/9fMFyV8kOx27ObmxtChQ2ndshG2VW5T3EwXudbOMxKmjihPnRr5F5gdExODvb09oaGhXLx4kZIlSyKE4Pfff8fa2pqOHTty+fJlTE1NmThxIlu2bEk3wFatVjNgwADq1KmDvb19lmmuUsyc2swsBg4cSGhoKH369KFRo0bpmi3Hjh1L586d6dSpU7prId9//z3Xr1+nUKFC1KlTBz8/v1T7hRA8eiFw+VOw/0+4+RgCXkDQa3gQAhfuwubTsPdUCD7X7rFo0aJ0x+rh4YGenl6GOSE/FvLSVZFXstJe/KRypKal0KnVNNO/SUREBJ06deLy5cvcuHEjxyWJPgeEWp1cvSIhFj2dbDgEqZQobp5BJOQuKUVOKF++PBcuXKBNmzbUrVuXAwcOYFgl92n71ImKXPcj0TNAt1kvdKzaECnRJ1GZlCyCUlnyR66TnJ6sXA10m/dEp0pysuvx48ezdetWOnfuzP79+3N9LV8b+VqBPb+5f/8+vXr1onpNS+q3+JWLfslrVv/OFiOXS5BKoFolQ4b2KoWFeYH0ussTXr16hZ2dHXXq1GHTpk3o6Ojw9OlThgwZQmRkJM7OzprZ36BBgyhYsCBr165Nt6+5c+dy5swZLly4wNmzZ9m8eTPu7u4ZnnvkyJFUrlw5w9njv7G2tmbevHmEhIQwe/ZsTp48mSahsFqtpn///sTExHD48OEMnWrc3NwYMWIEv/zyC5MnT0YgwfM2PH4Fyiw8s1VJCuRyCT810uE7k7QC0bhxY0aPHk2PHj20uq78RhX+kqRHtxDR4cl1+P79E5LJQUcPeflayEpnngj9/v37dOnSBTs7O1asWPFJk4TnBapXQSgf+OQwubIE6XcV0a2hXe7M/ODGjRv06dMHhxIVaXL3JeqYnKddNGlcF9vz+/JsbD///DN1q1ViYJcOoExMrr+nVwBp8fIZVl+/d+8e9vb29OvXjzlz5nyUKiZfAl/0XahZsybXrl3DzMSI9Yta4dQ/jlH9S1O1YgFKFNXFzESH8qX16dLajG1Lq7F8euV8Fb2HDx/SoEEDOnfuzNatW5HL5Wzbto26devSokWLVCbPCxcu4OXlxYIFC9Lty9XVle3bt+Pm5oaenp4meD0zMnNsSY+BAweya9cuhg4dyrp162jTpg2XL19O1UYqlbJjxw7i4uIYPXp0hut5Dg4O3Lhxg5MnT9K6dWvcvON5pIXoAcjkugh0cLsKr9+n7t/Hx4fnz59/kswfGSEzKYmetR26Np2Rla6CpJAZkgLGSAqaIC1WDt3ardBr9CPyMlUyFb0//vhDk+pr7dq1X7zoASQF38t5RQEE6lfBiNxmLMkFdevW5datW0RWLUNMbM5nnzIjQypMzLvwE7VazbFjx2jaoTPyctWRV6qDvMIPyEpVzlD0INkq4+fnh5eXFz179iQuLnf5k78WvugZ34ccPXqU4cOHM3bsWKZOnZqhd2R+ceXKFbp168aSJUtwdHQkNDSUoUOH8ubNG3bt2pWqSnRCQgK1atVixYoV2Nvbp+nrzp07tG7dmjNnzmicOVatWkVISAirV69O9/xRUVGULFmSiIgIrR0iwsPDMTc35+nTpxQuXBhPT0969+7Nrl270hR2jY6OpmnTpnTt2pVZs2Zl2KdKpWL5Zk+kRRuhq5f9HKd6OjCkNRqnpc6dO9O2bVtGjhyZ7b4+V1QqFTNmzODAgQO4urp+kpRw+YE6OgLFNffcBV9L5cgtrLIV+pFfuA+egGK3O3rZ9OaVyKQYlC9Ns79OI8mj55Cvry9DhgzJcTxkQkICgwcPJjAwkGPHjuW6HNaXzhc94/uQLl26cPPmTby8vGjVqhWhoaEf7dyHDx/GwcGB3bt3M3DgQJydnalTpw62trb4+vqmEj2AhQsXUqtWrXRF782bN3Tp0oUNGzak8mDMasZ37do1LC0ts+UFaGJiQuvWrTl48CAArVu3xt3dncGDB7NvX2oTTUooxM6dO9m+fXuGfUqkUopUaJsj0QNQq+Hv///T/f333/j6+uLo6Jijvj5HwsPD6dChA9evX+f69etfjegBqMNf5D7eUZ2E6vXTvBlQLrHbtpISHVugzEaFZxUCDAtgc9Y5z0QPkl/sU5LN5wR9fX327t2Lvb099evX586dO3k2ti+Rr0b4IDmGKEX46taty7Fjx/L9nGvWrGH8+PGcOXNGI2arVq3C09OTX3/9NY356q+//uL3339n3bp1afpSKBQ4ODjQr18/unfvnmpfeHh4qpye/yarMIaMSBHqFOrXr8+5c+eYOnUq69evT9W2RIkSnD59mhkzZuDhkX7tsSevISkXL/xKFdx4lOwYs3z5ckaPHp3jGoefG/7+/tStW5eaNWty5swZihb9ulJKCUVC8ppnblHmMMdlHiORSLA9vAHz/g6odXVQZxE4LC2gj9S0MFN1XvNanbcJHnIrfJB8PTNnzmTFihW0bt36ozwfP1e+KuGD5KTLM2bM4MiRI4wfP55Ro0ZlmJ0hN6jVan755Re2bNmiKVZbu3Zt6tSpw/Xr19OtOq1Wqxk2bBjz5s1Lk2Q4JWtJsWLFmDt3bppjw8LCMp3x+fj4pBsKkBVt27YlKCiIgIAAzbYaNWpw+fJl1q9fz5w5c1Kt61lYWHDs2DEcHR25du1amv5uBWm3rpcZ8YlwL+ANR48eZdSoryO7vIuLC61atWLBggWsXLkyQyehL5q8Cpj+jAKvJTIZtbYsxPb4Fgxt66CUQNKHw5NIkBkVQL90CaounEi7wPMMmT6ZDh06EBERkSdjePjwITExMXlmHejevTseHh6aZOxfyWpXtvgKf33J2NracufOHX7++Wesra1xcXGhZs2a6baNiEzi9KVwPL0jiI5VoVYL9PWkfF/FEIc2ZmkcYhISEujXrx9v3rzhyJEjTJgwgX/++QcPDw9NIdn02LJlC0IIhg8fnmbf+vXruXbtGj4+Pul6XmU241Or1fj6+rJr165M7kj66Ojo0KdPH5ydnVm4cKFme/ny5bl8+bImjm/t2rWacdWvX58dO3bQuXNn/vzzTyws/hejFpE2GUyOOHzsHAMGDMiTSuWfkqSkJKZOnYqbmxuenp7pvhB9LUh0DZJd7HOZYFmi+3nN8CUSCWYtG9CiZQOigp6x+2cn/rl6nbbNW1ClvhVFGlph2rS+xpFp7NixBAcH4+DgwOnTp3OdVDxltpeXmVisra3x9fWlU6dOPHz4kE2bNn2RyRJyylc34/sQY2Nj9u/fj5OTE82bN2fTpk2p3m7C3yuZ/9tTHKf8w6GTb3n9TklcvJqERMH7KBXeN6KYujyY4TMDuPVXdPIx4eG0bt0aqVTK0KFDadq0KVWqVOHWrVuZit6LFy+YNWtWusmXPT09Wbx4McePH8+wsGpmM76///4bU1NTihcvnt1bBMCAAQPYs2dPqswVAMWLF+fixYv4+/vTt29flMr/edt17NiR+fPn065du1RVG3Jj5kxBLQRX/W5qHZbxufLu3Tvatm3L3bt3M7QCfE3IimaeOEG7TuT/nx7u86RQhbKMPvsH3U/uYfTd86wMuYdBvbRZeVasWEGRIkUYMmRIrmdUeWHmTI8yZcpw5coV3r17R5s2bdIkqvia+aqFD5Lf1gYOHIi3tzdbt27FwcGBsLAwQl8lMnruI67fjUaZJFAo03451QISFYLQVwrmb3jGHtcAGjRoQK1atRBCsGDBAo4dO8bixYuzfKsbN24cw4YNSzPrDAgIoG/fvhw8eDDD5NSQ+Ywvu2EM/6ZWrVqYmZlx4cKFNPuMjY05c+YM0dHRdOnSJZU79JAhQxgwYAB2dnZERye/GMjzYD0/SamgetVKqUoyfWmkvAjVrVuXkydPZro++7UgMTDKg1I4EqTFy+XJePKTxo0b4+/vT2xsLJaWlty4cSPV/pQ6l4GBgWkq02eHly9fEhAQQNOmTXM75HQxMjLCzc0Na2trbGxsePjwYb6c53Pjqxe+FCwsLLh69SoVKlSgXv0WjJ//D1HRKlRarsUrFIL97lFYNRqIm5sbZcuW5fbt29SvXz/LY0+cOMb0JeUAACAASURBVMGdO3eYOXNmqu2RkZHY29szf/58mjRpkmkfmc34cit8kDzr+3edvhQMDAxwc3PDxMSEtm3b8v79e82+X3/9FSsrK3788UcUCgVFcp6hSYNSmcRPXVvnvqNPxN69e2nbti3Lli1j6dKlX+d6XgbIy9fMeQkniTQ54D+7aeE+ESlVTubOnUuHDh1YuHBhKqtJgQIFOH78OC4uLuzYsSNH5zh+/DgdOnTI1xhPmUzGsmXLmD59Ok2bNsXLyyvfzvW58NXE8WWHkTOv8+SFDhJp9n+galUiE/sl0LJF2srn6REdHU2NGjXYtWsXLVq00GxXqVR07NiRSpUqpfGe/DcKhQJDQ0MUCkW6dv4qVarwxx9/UKtWrexdzAe8ffuWypUr8+zZMwoVKpRuG7VazYQJE7hw4QJnzpzR5A5NSkqiW7duGBsbM3uZM6dvgTKnMcxAXORLpvUt+cVll1cqlUyaNIkTJ05w9OjRNGEs/wWEECj9L6AOe57NtT4JEn1DdG06IdH5/ArtZkVISAgDBgxAoVCwZ88ezM3NNfsCAgJo0qQJu3fvpk2bNtnqt3379gwaNChVVZf85M8//6RHjx7MmTOHn3/++aOc81Pwn5nxpRD2XsmLdwVyJHoABvr6RKvS1orLiFmzZtGiRYtUogcwdepUlEplhgHpH5ISw5eeELx7945Xr15Ro0YNrceUHkWLFqVZs2YcPnw4wzZSqZTVq1fz448/0qhRI4KDg4H/1WELDAxk65rpyHPxrVIkxlKlRMwXJ3pv3ryhdevW/PPPP1y/fv0/KXqQvLSgU6tpsslT25mbRAp6BujWbfdFih4kr5d5eXnRpUsXrK2t2b17t2Ztz8LCgsOHD9O3b980pb4yIyoqCm9vb9q1a5dfw05D06ZNuXLlCmvWrGHcuHEkJeXiDfYz5j8nfCcvpC3Dkx0SlQK3M++0WrC+fv06Bw4cYMWKFam2Ozs7c+TIEQ4dOqSVGSyz4HVfX1+sra3zJFNNZubOFCQSCbNmzWLChAk0btyYe/fuAclmnRMnTnDkiBsJry7neK1PqFV0bFY5Zwd/Im7cuEHdunVp2LAh7u7uX7wnam6RSGXoWrZBVqry/ydTzuA7LpGCVIakSHH0bOyTK91/wUilUiZOnIinpydLly6lZ8+emrJfjRo1Yv369XTs2FHr5BqnTp2icePGFCyYfwn106NSpUpcvXqVBw8eYG9vn2XllS+R/5zwnfWOQJmUO+tubLyax88yryCdUpZo+fLlmJmZabb7+voyadIkjh8/rvUDMj8dWz7Ezs6OBw8eEBQUlGXblBigVq1aaUqfmJmZcebMGZbP7I2OIjTb4pekiKec7i30dL6c2d6uXbto3749q1evZuHChR89Vd7nikQqRaeqDXpNuiOrZAl6BVJ2ABKQ6yArWxXdBl3Qs2qLRFf/k443L6lduzY3btygRIkS/PDDD5w7dw6AHj16MGbMGOzs7FKJiRCCxMcPiTi8k7DtK3m3bQURh7bxwMONLp07f5JrKFKkCCdPnqRcuXI0aNBAY935WvjvrLr/P9Gxufe3l0qTY/8yY82aNZiZmdG3b1/NttDQULp168bOnTupXr261ufLyrFl2rRpWveVGbq6uvTq1Yvdu3czZ86cLNv36tWLwoULY29vr3HoKF++PO7u7rRrX5+lO24RQ/GsA9qFCqlEcGLLIC6c/jJKqCgUCiZMmMDZs2e5ePFirk3NXysSHT10ylVHp1x1hFqdXIRWJv9iHFhyioGBAWvXrqVDhw7079+fXr16sXDhQiZNmkRwcDA//vgj7seOorhxhWivY6ijIxFKRaqUb70NkjB87EuUZ3GMGrdBqv9x4xt1dHTYuHEj69evp0GDBri6uubZS/an5j8341Or8saXJ7NZY3BwMEuWLOH333/XrFXFxcXRuXNnxo0blyYBdFZkNONTKpXcuHFDK89SbUlJYaZWa+fu2r59e44ePUr//v01OT9r167Nvr17mDzwB6qZPaN4YZBL0ybk0JGBFBW3Lu7inPNA+vdo/UWUTXn16hUtW7bkyZMnXLt27ZvoaYlEKkWio/fVi96HtG3bFn9/fx4/foy1tTV//fUX69evp7C+LredHIk8shtV2BuEIjFNnlNDHTnERhN18hCvF08kKeLdRx+/RCJh7Nix7Nixgy5duqTJ4ful8vk/ZfIYPb28uWTDAun3I4RgxIgRTJw4kYoVK2q2DRo0iOrVqzNp0qRsnyujGZ+/vz/m5uYULlw4231mRJ06dTAyMkpTnigzGjZsiKenJxMmTOD3338HoGXLlqxevZqBPzWmkXkovZuCVUWw+A4qFIfqZaF5LRhpJyPo+i7+POeRanb8ueLn50e9evVo0aIFx48fz9N7/42vEzMzM9zc3Bg7dizNmjXj9/XrWGNVgaIkJQteVigVqCLe8Wb5NFTRkfk/4HRo374958+fZ+bMmcyaNUvrF+PPlf+c8FWtkHtzQVKSoEKZ9Ps5cOAAL168wMnJSbNt0aJFBAcHs3Xr1hx5K2Y048vL9b0UJBIJAwYMyHb6s1q1anHp0iWWL1/OwoULEULQu3dvxo4dS/v27ZEkvadRdQkd6kqwry+hTW0J1ctIkMsk/F979x0dZbXvf/z9zEwmvRFCEgglhUiAAwqEKnDhAArqJUfgIEW9igiKIgavBfEXpYgaKQcBFYEriCgugaDiURFUSOj1UIQQaugJgZA+7fn9kUMOkDYtDDDf11pZSyfPs/cODPnM3s8ufn5+qKp62+8ZuHDhQh5++GHmzJnDO++8c0f0TsXtQVEURowYwZYtW6i3fR0lF86it+X9Y7FgKcgn55NptdfIGrRs2ZKtW7eyfv16Bg8efEef7ed2/3IHPBiKlwO9Po0Cne4LwN+34nBNbm4uSUlJfPbZZ+ULTlevXs0nn3zCqlWr8PKy7wF+VT0+e09kqMmwYcNITU2l0MaDOGNiYkhLS+Prr79m/PjxWCwWxo8fT+/evUlMTKSkpOKEoBMnTrB9+3Y6d+7Mp59+6qwfwalKS0sZPXo0KSkpbNy4kf4umnAg7nxRdevQuV4gehuOOipnMWM6dxpDVs2Tz2pLvXr1WLduHV5eXnTv3p2zZ8+6rC2OcLvga93MF19v+39sDw+FRx+oW+n3Xn31VQYOHFj+zG3fvn2MHDmSlStXVjiNwRZVLWeojR4fQEREBJ07d2blypV23bthwwa2bNnC008/jdlsZvr06YSHhzN8+PAK+4HOmDGDZ555hmnTpvHee+/ddp8iz549S48ePTh//jzbtm2jWbNmrm6SuIMVpP3i0P2qyUj+uh+c1Br7eHl5sWTJEhITE+nYsSO7d+92aXvs4XbBpygKIweHo9fb/onLw0OhZVNfYhtXHOb8448/+Pnnn8tPOMjJyaF///7MmjWLhIQEh9p86dKlCkOdp0+fpqioiNjYWIfKrsr//M//2HXaA5RNhV67di0XLlwo38psyZIlXLp0iXHjxpUPaebk5LB06VLGjRvHvffeS5cuXZg3b54TfwrHbNq0iYSEBPr27cvKlSur3NFGCGuoqkrBhp/AZKz54qpYLBTv2YKl1PlHrdlCURTefPNNZsyYQZ8+fUhNTXVpe2zldsEH0DUhiMH9QvG0Ifws5lIi6uqY8HzFjZNLSkoYNWoUH330EQEBARgMBgYOHMjgwYMZOnSow+2trMe3efNmOnXqVGs7nDzyyCPs2bOHkyftOw3b19eX1atX4+3tzYMPPkhpaSmpqan88ccffPDBBwDMnTuXAQMGEBERAcDbb79NSkpK+YbXrqKqKp9++imJiYl8+umnvPXWW/I8TzhMNRpQSxwPLEWrxXzFsY04nGXgwIH885//5IUXXuD999+/7Z/TX+O2/5ofe7geIwaFo/dQ8NBVHR6KAl6eCj66i5za8zoeuop/sdOmTSM+Pp7ExERUVWXs2LEEBATccL6dIyrr8dXWMOc1Xl5eDB48mC+++MLuMvR6PUuXLqV58+b06NGD0tJS/vnPf/Lxxx+zYMEC5s6dyyuvvFJ+fcuWLenZsydz5sxxxo9gl9LSUp599llmz55NWloaDz/8sMvaIu4uakkxOGODA0WDWsnzcldp164dW7Zs4euvv+bpp5/GYKj+9HnVYsZiKMFSWoxqNrokLN1yk+rr5V4x8uMfuXy/LheLpeyPQlXLNpgwmlTat/Ln0QfqEh2po0+fPnTp0uWGQDt48CDdunVjz549REZGMm/ePObNm8emTZucNjTm6+vLhQsXbjirr0OHDqSkpNR4qoMjtm7dyvDhw8nIyHCoZ6mqKsnJySxfvpxffvmFoqIiOnTowF/+8hfS09NvuPbQoUN07dqVzMxMAgMDHf0RbHL69GkGDhxIgwYN+Pzzz2/5VlHi7mYpLeHs/z4JDi4FKFXh18hWNGzdlubNm9OoUaPbYkSioKCAxx9/nNzcXFasWHHDjlWqqmLOv4Th3DHM+ZcApaxXYbGgeHqhD4/GI6QBir0ne9jI7YPvGrNZ5WBmEVfyTZhMKn4+WuKivAn0/89fRHZ2NgkJCaSkpDBo0CAsFgvdu3fnscceY8yYMaxfv56hQ4eyadMmoqOjndKukpISAgMDKSkpKQ+f4uJi6tatS3Z2Nj4+PjWUYD9VVYmPj2fhwoV06WLdaRTVmTVrFjNmzGDNmjX07t2b0tJSfv31V9q2bXvDdU888QQxMTEkJyc7XKe1Nm7cWL6l1Ouvv37HbZItbn+qqnL21adQi22bLX0zs6JhrjacvX8e4uDBg+Tm5tKsWTOaN29+w1d0dPQt30LPYrEwYcIEvv32W77//nvi4+MxF1yh+OguVJOx6hM7NFpARV+/Kfrw6Fr/9yfBZ6Pdu3fTp08ffv31V7Zu3cqiRYtIT0/nxIkTdO7cma+//poePXo4rb6zZ8/Stm1bzp07V/5aWloaSUlJbNu2zWn1VOW9997j2LFjzJ8/3ynlLVmyhLFjxxIdHc1bb73FmDFjSEtLu+GDQmZmJh07duTIkSMEBwc7pd6qqKrKvHnzmDRpEosXL76lO+EL95P3/Vfkr/ve/gkuioJ3m86EPDWu/KWrV69y6FBZCF7/df78eZo2bVoehPHx8TRv3pzY2Fj0er2TfqLKff7557z66qv8sPwL4gOw/ogqjRaPOhF4Nql4qr0zSfDZ4auvvuL111+noKCA3377jSZNmtCpUyfGjBnD888/79S69u/fz2OPPcb+/fvLX/vggw84e/Yss2bNcmpdlTl9+jStWrXizJkzeHs7vvhfVVWio6O5fPkyK1asICMjg5kzZ5Kenk5o6H9O7x4xYgQRERFMmTLF4TqrUlJSwnPPPceOHTtITU0t32lHiNpivnKJc2+/aHfwKXo9oeMmoW9U83u1sLCQw4cPVwjErKwsoqKiKvQQ4+Li7F5rXJntG3+jEVfw8bLxqCmNFn14FJ4N4pzWlgpV1FrJd7EhQ4bg7e2Nv78/99xzD8OGDaNbt25ODz2ofPH6pk2b6NSpk9PrqkxkZCQJCQlOm678yy+/4OfnR2pqKkOGDCEsLIy///3vPPTQQzcsmH/rrbf4+OOPycmpnf0JT506RdeuXSkqKmLz5s0SeuKW0AaF4NWiDejsOFFdq0UXFmlV6EHZ3IA2bdowfPhw3n33XVJTU8nIyODy5cssX76cQYMGoSgKK1asYMiQIQQHBxMXF0f//v154403+OKLL9i5c6fNG1lc07yOB962hh6AxYzh3DEshtpbsiE9PjusWbOGsWPHEhMTw+XLl/H19WXt2rXlu7U406pVq1i8eHF58KiqSlhYGDt37qRhw4ZOr68yy5YtY8mSJfz0008Ol9WzZ0+eeuopHn/8cXbv3s1DDz3EpEmTSE9P5+LFi6Smppb/OT733HMEBATw/vvvO1zv9X7//XeGDBlCUlISr7zyijzPE7eUpbSYi++/junSRTBbedCrRoPG15+wN1LQBtTO8L/RaCQzM7NCD/HIkSOEhYXd0DuMj48nPj6+yglo5qJ8ig6mg2rnRB5Fg0d4E7wia2fDCAk+GxUUFNCiRQsWLlzIsWPHGDNmDDNnzuSFF16olfoWLFjA5s2bWbhwIVD2/KtHjx5kZWXVSn2VKSoqIjIykn379tGgQQO7y9m+fTsDBw4kMzOzPNwyMjLo06cPo0ePZsOGDURERLBgwQIURSErK4vWrVvz559/EhYW5vDPoaoqs2fP5t1332Xp0qX07t3b4TKFsIe5IJ+cOZMxXTiLaqxho2qdB9qAIELHvYOuTmj119YCs9nM8ePHKwTin3/+SXBwcIUh0+bNm+OTdxpjjnUH7lZJq8Pv3l4otTBjVYLPRklJSeTk5PDiiy/Sr18/FixYwDPPPMOaNWto37690+v74IMPyM7OJiUlBSibHLJmzZryI4BulZEjRxIbG8trr71mdxmDBg3i/vvv56WXXrrh9dOnT9OnTx8eeOAB0tLS6Nu3L5MmTQJg7Nix6HQ6ZsyY4VD7i4qKGDVqFPv27WPVqlVERUU5VJ4QjlKNBgrS11Gw7jssRQWopTeuzVM8vVA89Pj1fAi/rg+g8fZ1UUsrZ7FYOHXqVKWBuG/lZwQH+NVcSHU0OnziEtD6O7+HK8Fng507d9KvXz9+/fVX+vbty9y5c+nfvz+rV6/mhRdeYNu2beW7kDjLa6+9RnBwMK+//joAo0ePJj4+vkJ41Lb09HSeeeYZDh48aNfQ4JEjR8pPcr5+PeI1OTk59OvXj7i4uPJT6keNGsW5c+do0aIF+/fvt3u/0xMnTvDoo4/SrFkzFixYUKtLQISwlaqqGI7+SdHOTZjzLoNqQRsQhFerBLziW99x5xeqqkr+jp9QcDBaNDq8Y1qjC3J8tOdmbncCu71MJhMjR45kypQpjBgxgueff758l/7+/fuzd+9eBgwYwG+//Yanpx0PdKuQm5t7w8SLzZs3M2LECKeVb63OnTtjMpnYvn27XT3bDz/8kOeee67S0IOyM8vWrVvH3/72N2JjY3nnnXcICwsjMTGRp556imnTpjHl/X9wMttCfrEFk6XscFtfL4XGoVqCfJRKA3ndunUMGzaM1157jXHjxsnzPHHbURQFz9jmeMY2d3VTnEJRlLJDp2/jLpX0+Kw0ffp01qxZQ/369TGbzSxbtuyGX6IWi4WBAwcSEhLC/PnznfYLdsCAAQwdOpQBAwZw9epV6tevz+XLl2tlIk1NJk+ezPnz55k7d65N950/f57mzZtz+PDhG5YsVKa0tJRhw4aRlZXF0aNH+e677whpEE/anjNENo5FrWQislYDnjqIDdcSEaxBURRUVWXGjBmkpKSwbNkyevbsaVObhRD2y9+1FswObMYNZT2+uHbo/CueTOMo6fEB5y6WsvqXbDZuv0JhcdlCS19vLV3aBZLYpx6G4nNMmzaNp556it9++40NGzZUCDaNRsPixYvp1KkTH3/8sdOWNly/nGHr1q20adPGJaEHZTuqtG3blhkzZtjUq509ezZDhgypMfQAPD09Wb58OaNHj+bKlSss/3EX/Qa2oUHjuCo/QJotUGSA/VlmcgtUmtQpZeTIZ8jIyGDr1q00btzY6rYKIRynCwrFdOkcjnX7VLS+tbNtoVsH38kzxcz+vywOHyvCoqqYrptZXFRs4Yd1Ofz42yUMRcfp3fdxli1bxtatW6t8RuTv78/q1avp3LkzLVu2dMo+mtefvl7bG1PXpHHjxrRq1Yrvv/+egQMHWnXP1atXmT9/vk27zGi1WubPn8/8ZesIj2lXaS+vMhYVzuSa+OabsiURaWlpTll0L4SwjT48GtPl82X/KO2hKHiENqq155tuu4D9X3/m82JyBvsPF2Iw3hh615jMYDCqqLpGXDQNIuUfK4mMjKy23JiYGJYuXcrgwYM5deqUw+28vsfn6uAD28/p++yzz+jdu7fNe5fmFqhEteyGp5dtE1FUNHTskUjK7P+T0BPCRbQ+AWg8HZmFqqAPa+Ks5lQs3R2f8R09WcTLk49QUmrb4kovTw3TJzalaZOafxlPnz6dL7/8krS0NIdmEXp7e3Pp0iU8PT2pU6cOmZmZVg0Z1paCggIaNmzIn3/+SXh4eLXXGgwGoqOj+f7777nvvvtsqmf7USOX8u1/awb6KHSKc82QsBACzAVXKDq8xfbTKDRaPEIb4dUovnYahhv2+FRV5e1Zx20OPYCSUgtvzzxm1flRSUlJtGjRgmeeecbu86aKiooA8PHx4eDBg4SFhbk09AD8/PxITEzkyy+/rPHaL7/8kubNm9sceiUGlcsFjn0eyy9WKSxxu890Qtw2tH5BeEffB7YsQNdo0QWF4dmwdnZsKa+mVku/De07VEBevpXbBFWioMjMnoMFNV6nKArz588nIyODDz/80K66rj95ffPmzS4f5rzmySef5PPPP6820C0WCykpKXYteD9z2cqd3KuhqnA61/FyhBD20wWH4R3XHkWn//fRQ1XQaEDRoA9rgld061pfduR2wffNjxcptaO3d01xiYVv1lyw6lpvb29WrVrFzJkz+fnnn22u6/qT12+H53vXdOvWjfz8fHbv3l3lNT/88APe3t52LSMoKrX/mfg1KlBYKj0+IVxN518H33v/infMfWj8gssOoNVoy74UDYqHJ/oG9+B371/xjLznlqy1datZnQaDhV378h1eV7n3YAHFJWa8vWqecdSwYUOWL1/OwIEDSU9PJzY21up6ru/xbdq0ifHjx9vdZmfSaDQ8+eSTLF68mIYx93G5AAwm0HtAsB+EBii8//77vPbaa3a9iU1m5wSWWTp8QtwWFEVBF1QPXVA9VJMR1WRAVVUUnQeKTn/LN5Zwq+C7WmBCqy2brekInU7haoF1wQfQtWtX3nnnHfr378+WLVvw9/e36r5rSxmys7O5cOECzZvfHjs7GM0q3R95nnU78vhqo4pGUVDVsg9yFhV0FBIY2ZH+iQPsKl+vc862Dx5u9e4W4s5QFnaunXjmVkOdRpPqlE8WigJGo23DpaNHj+b+++/n8ccfx2LlLKdrSxk2b95Mx44d0Wpdv2ffxSsqn/0MB87XIySiKSazgsEERnNZr89khhKzD70ee5dF6zRkX7U9wIJ8FbQOvjM1CgT5yPZkQoiK3Cr4fH20ThlGM5lVfH1sD6GPPvqInJyc8pMHanKtx3e7PN87l6uyPA1KjGVBVy2NnmIDfL0BLlyx7c88PMg5b8sGdVz/QUEIcftxq+Dz99US5O/4+Jefj5ZAO8rR6/V8++23LFq0iFWrVtV4/bUe3+0QfPnFKis2WxF4NzGa4dtNUGDD0gKtRqFBHQ2O9NfCghQ8dNLjE0JU5FbBpygKA/vVw1Nv/4/tqVcY0LceGo19v1TDw8NZuXIlzz77LAcOHKj22tzcXAICAti1axcdOnSwqz5n2ZFp/7NRoxl2H7XtniahWpuW/1xPo0BMmDzgE0JUzq2CD6BP1zp2LyiHsvVhD3YPcagN7dq1Y8aMGfTv35/c3Nwqr7t06RJXr14lJiaGgIAAh+p0hNGssv+k/UsMLBbYewLMNhTg46nQJkqHrZ8vNArc20SHn5f09oQQlXPLLcsWfXOGVT9nU2qw7Uf31Cs80iuUZ4c0cEo7kpKSOHDgAGvWrEGn03Ex18hPafmk7SqkqMRCaakBjWJCZz7BO+N7EtvIeef82eLAKZX1/7J9mPN6HlrofS80i7QtkC7lW9h13ERxSQl6vVeV12mUsklH9zbRERrgdp/nhBA2cMvgs1hUps45wba9eVaHn6deQ9u/+PP/xkbZPcx5M5PJRN++fWnRuhvB0SPJOFmCRa1s/ZkFTw8tdYK0PPNoCH+Ju7WbL/+0S+VgluPltGoCvVrb/meX+t2P/L4tg0cGP4/JbMFgMOKh90Th3xs+KNCoroZGdbV4eUhPTwhRPbf8aKzRKLz5QhMe7B6C3qP6qfNaTVlPr9f9wbzlxNAD0Ol0vD/zS04Z/saBo0UYTVUtutZQalQ5l23i/UUX+X1bvtPaYI3iUueUU2RHOWazmYkTXqVXx1h6tvRAyTvAhh//j9hwLffU19K6sY6eLT2Ii9BJ6AkhrOK2MwA0GoUxTzTkkV6hrPrpIr+m56LVli3EhrJehNms8tcudfjbA6E0buD8Xtb5HCOzvypG5+Fn9T0Go8qClbn4+Wpp18L+Ux9qYrFYOHPmDBkZGZzMbgLeth0rVBmdHasLvvrqKwIDA3nooYdQFIWjB7eRd3Y/seGyVEEIYR+3Db5rGtX34qWnG/Hs0Abszygkv6BsA2t/Px0t43yt3p3FHrO/zKbYjv0kDUaVfyzNZsE7DR2aoQplE2gyMjIqfGVmZhIQEEBcXBz3959AnegmKIr9dSkKBNj42cFgMJCcnMyiRYvKNx7IzMy0ads3IYS4mdsH3zXeXloSWt26mZOnLxg4dc6IvU9YFSB9dyE9O9S8/VlhYSFHjhypNOAsFgtxcXHlXwMGDCAuLo7Y2NjymaTZeSpfbXRsqzetAs0b2nbPokWLiI2NpXv37uWvZWZm0qVLF/sbIoRwexJ8LvLjxquYHdhFpsSgsnp9Hj3a+6EoCgaDgePHj5cH2vVBd+nSJWJjY8vDrUePHowaNYqmTZsSGhpa4zZuoYEKQb4qOVftbi51A6COv/XP4IqLi5k8eTKrV6++4XXp8QkhHOWWszpvB09OOGnXMOf1FNVI4bGpHD6QTlZWFpGRkeXh1rRp0/L/btiwIRp7V4P/26HTKmv32LekwUMLD7aBpvWtD76UlBS2bNnCihUryl+zWCz4+vqSk5ODr6+v7Q0RQgikx+cSFovqcOgBaDQqiQOGc/97rxMdHY1er3dC6yp3TwPIOAsnLoDJhv25dRqIDofYCOvvycvLIyUlhd9///2G18+cOUOdOnUk9IQQDnHL5QyuVjyXfQAAD/ZJREFUZrGUTfZwlKenJx07dqFZs2a1GnpQtt1bv7bQsK71szN1Wmhcr6y3Z8upGDNmzKBfv34VjmGSYU4hhDNIj88FdDoFjcbxg1JVFXy9b91nF51WIbGjytYM2Hm0LMArG/r00JYtLE+IhYSmtoVednY2c+bMYceOHRW+d+TIEQk+IYTDJPhcJCbSk4yTjq0MV1VoEHZrD3RUFIWO90BCU5Wj52FnJlwpLJvxqWDixJE9jBrcjphw7Frs/9577zFkyBCioqIqfE96fEIIZ5Dgc5H+PQP5aFk2JXY+69NpoWcHP/Qerhmt1moU4upDXP3/vGaxaAkJ6cP/Dj2ERhNmc5mnT5/m888/Z//+/ZV+PzMzkyFDhtjbZCGEAOQZn8u0ifdGp7X/QZ+iKDx4v+tObKiMRqOhffv2bN261a77J0+ezMiRI4mIqHwmjPT4hBDOIMHnIlqtwhP/HYzejv0l9R4KnVr7EF731g5zWqNDhw52Bd+RI0dYsWIFr776aqXfV1WVo0ePEhMT42gThRBuToLPhf4rwZ+HuwXgaUP46T0UYhvpGT24bi22zH72Bl9ycjLjxo2jTp06lX7/3Llz+Pn5ufRcQiHE3UGe8bnYY/2C8ffTsGzNZQCMpsqvs1hMeHnqSGjpw5ghdR0aJq1N7du3Z/v27VgsFqsXze/du5f169czf/78Kq+RYU4hhLNIj+828FC3QOa+GUliz0D8fDR4eyr4eCl4eyp4eynoPRRMeVto33gbLw0PvW1DDyA0NJS6dety6NAhq+956623eOONN/Dzq/qUCgk+IYSzSI/vNhEUoGPQA8E82iuIzFOlXC20YLao+HlriGnoSdrGMJKSknhx9CCb1sW5wrXhzpsXoFdm8+bN7Nmzh2+++aba6yT4hBDOIj2+24xWq3BPlBcJLX3o2MqXlk298fbS0KtXLxRFYe3ata5uYo2sfc6nqioTJkwgOTkZLy+vaq+V4BNCOIsE3x1CURSSkpKYPn26q5tSI2uDb926dZw5c4Ynn3yyxmsl+IQQziKnM9xBSktLiYqK4pdffqFly5aubk6VSkpKCAkJITs7Gx+fyk+JV1WVDh06MH78eAYPHlxteaqqEhgYyMmTJwkODq6NJgsh3Ij0+O4gnp6ejBkzhhkzZri6KdXy8vKiRYsW7Ny5s8prUlNTMRqNDBo0qMbysrOz8fDwkNATQjiFBN8dZvTo0axatYrz58+7uinVqm6402w2M3HiRKZOnWrVkofMzEyaNm3q7CYKIdyUBN8dJiQkhCFDhjB37lxXN6Va1QXfsmXLCA4Opm/fvlaVJc/3hBDOJMF3Bxo3bhyffvopRUVFrm5KlaoKPoPBQHJyMu+++67VyzIk+IQQziTBdweKi4ujY8eOLFmyxNVNqVJsbCyFhYWcO3fuhtcXLlxIXFwc3bp1s7osCT4hhDNJ8N2hxo8fz8yZM7FYLK5uSqUURalwUkNRURFTpkxh6tSpNpUlwSeEcCYJvjtUt27d8PPz48cff3R1U6p083DnnDlz6Ny5M23btrW6DFVV5eR1IYRTSfDdoRRFYfz48bf1gvbrgy8vL48PP/yQSZMm2VRGbm4uqqoSEhJSG00UQrghCb472KBBg8jMzGTXrl2ubkql2rdvz44dOzCbzUyfPp2HHnqI+Ph4m8q4Nsx5u+9PKoS4c0jw3cE8PDwYO3bsbbugPSQkhLCwMNLS0pg7dy7Jyck2lyHP94QQzianM9zhRo4cSXR0NKdPnyYyMtLVzamgQ4cOTJ06laFDh9KkSROb75fgE0I4m/T47nBBQUE88cQTfPTRR65uSqXi4uLYsGEDb775pl33S/AJIZxNgu8u8NJLL7Fw4UIKCgpc3ZQKdu3aRUBAAOHh4XbdL8EnhHA2Cb67QFRUFD169GDRokWubsoNMjIySE9PJz8/3+5QluATQjibBN9dIikpiVmzZmE2m13dlHLJycm8/PLLtG7dmh07dth8/5UrVyguLiYsLKwWWieEcFcSfHeJTp06ERYWRmpqqqubAsDevXv5/fffGTt2LB07drTqYNqbHT16VJYyCCGcToLvLjJ+/PjbZmnDxIkTeeONN/Dz87P6RPabyXFEQojaIMF3F0lMTOTs2bNs2bLFpe3YtGkT//rXvxg1ahRQ/RFF1ZHne0KI2iDBdxfR6XSMGzfOpb0+VVWZMGECb7/9Np6enkDZ5BuDwcDp06dtKkuCTwhRGyT47jJPP/0069at48SJEy6pf+3atZw/f57HH3+8/DVFUezq9UnwCSFqgwTfXcbf358RI0bwj3/845bXfa23N3nyZHS6GzcFkuATQtwuJPjuQi+++CKLFy8mLy/vlta7atUqLBYLAwYMqPA9W4OvoKCAvLw8IiIinNlEIYSQ4LsbNWzYkL59+/LZZ5/dsjrNZjMTJ05k6tSpaDQV31bt27dn165dmEwmq8o7evQoMTExlZYlhBCOkN8qd6mXX36Z2bNnYzQab0l9X375JSEhITz44IOVfj8oKIgGDRpw4MABq8qTYU4hRG2R4LtLtWvXjqioKL799ttar8tgMJCcnMy7775b7WJzW4Y75dR1IURtkeC7i11b0K6qaq3Ws2DBAuLj4+natWu119kSfNLjE0LUFgm+u9jDDz9MXl4eGzdurLU6CgsLmTJlClOmTKnxWgk+IcTtQILvLqbRaHj55ZdrdUH7nDlzuP/++2nTpk2N17Zq1Yrjx49z9erVGq+V4BNC1BZFre1xMOFSRUVFNG7cmE2bNjl938srV67QtGlTNm7cSLNmzay6p0uXLkyePJmePXtWeU1RURF16tShsLAQrVbrrOYKIQQgPb67no+PD6NGjWLWrFlOL3v69Ok88sgjVoceWDfceezYMaKioiT0hBC1QoLPDYwZM4Zly5aRm5vrtDIvXrzIvHnzSE5Otuk+a4JPhjmFELVJgs8NREREkJiYyCeffOK0MqdNm8bw4cNp3LixTfddC77qRtjlOCIhRG2S4HMTL7/8MnPmzKG0tNThsk6dOsWSJUuYMGGCzfc2btwYi8VCVlZWlddIj08IUZsk+NxEq1ataNmyJV9//bXDZU2aNInRo0cTFhZm873WnNQgwSeEqE0SfG4kKSnJ4QXthw8fZvXq1bzyyit2lyHBJ4RwJQk+N/LAAw9gMplYt26d3WUkJyeTlJREcHCw3WVUF3ylpaWcP3+eRo0a2V2+EEJUR4LPjSiKUt7rs8eePXvYsGEDY8eOdagdCQkJ7N69u9INtI8fP06jRo0qnOcnhBDOIsHnZoYNG8auXbs4ePCgzfdOnDiRCRMm4Ovr61AbAgMDadSoEfv376/wPRnmFELUNgk+N+Pl5cXzzz/PzJkzbbovPT2d/fv3M3LkSKe0o6rhTgk+IURtk+BzQ8899xzffvstFy5csOp6VVWZMGECb7/9Np6enk5pgwSfEMJVJPjcUGhoKH//+9/5+OOPrbr+l19+4eLFiwwfPtxpbZDgE0K4imxS7aYOHTpE9+7dOXHiBN7e3lVep6oq7dq144033mDgwIFOq99kMhEUFMSZM2cIDAwsfz02NpYff/yRuLg4p9UlhBDXkx6fm2rWrBkJCQksXbq02utWrlwJwKOPPurU+nU6Hffddx/bt28vf81oNJKVlUWTJk2cWpcQQlxP5oy7saSkJF5KehtN0CP8viWPgiILFouKp6eGFrE+JPYOZuLEicyaNQuNxvmfka4Nd/bq1QuAEydO0KBBA/R6vdPrEkKIayT43NTFS0bW7Y6mUdvZfPdrDmbLf4KtqNjCjn0F7D6QR1SH+QSFta6VNnTo0IEvvvii/P/l+Z4Q4laQoU43dOJ0CWMnHWVfRhGKRn9D6F2jAiaLFo1HCO/PP8PqXy85vR03n9QgwSeEuBWkx+dmLl4y8nrKCQqKLFbfYzCqLF55ET8fLX/tHOS0tjRs2BBP7zr8vvkkgcH1OHC0hMZRtdO7FEKIa2RWp5t5c8YJ9h0uwmJ97pXTeygsTonD39exk9FVVeXw8VK++z2P7fuu4uGhoPfwoLCwEJ2HF40ivOjfM5D2LX3Q6RSH6hJCiJtJ8LmRi5cMjJp4FKPJvr9yT73CsP8O5dEH6trdhqsFZqbOv8DZbCMGo0pV7z4vTwUPncKbI8OIbuicRfNCCAHyjM+t/LD+Mir2f84pNaisWpuLxWJfGVeumnh1xllOnTdQaqg69ABKSlXyCy0kzzvPn8dK7GyxEEJUJMHnRtZvuYLJ5FgZxSUWjmXZHkQGo4V3Pr5AXoEZs9n6+0oNKtMWXOB8TsWTHIQQwh4SfG6k0IYJLVXRaODyVdvTc/PeInKumGwKvWtKDSrLf7pi+41CCFEJCT43YrZziPJ6RoORQ4eOcPHiRZtOck9dn0epwb76VRW27SuioMiO1BRCiJvIcgY34qXXUFTiWK/PaDQw96PpjBv9M8XFxTRq1IjGjRtX+lW/fn10Oh3HskrJyXVsjFVR4LetBTzSI7Dmi4UQohoSfG6keawPO/cXODC9BfSePqz/+Qt8vLXk5+dz6tQpTp48Wf61Zs2a8v/Ozs6mfv36xLcfhX/kIFDsf7sZjCo7DhZJ8AkhHCbB50YefTCE/UeKKCm1r9en1UDXhAB8vMvW8fn7+9OiRQtatGhR6fUGg4GsrCy++fkqu486/lazZdG9EEJURZ7xuZG/xPng52P/X7lWq5DYO8Tq6/V6PTExMcREN7G7zuvptLKYXQjhOAk+N6IoCqOGhKP3sD1A9B4KbVv6ERXpZfO9gf5au+q8WXCAYzvGCCEESPC5nU73BfB4Yj089dYHkd5DoUmkJ6+ObGBXnQktfWyaAVoZL0+F/2rv51AZQggBEnxu6W99QnhuaFnPr7qemEZTtk1Z25Z+vPe/TfDwsO/tUidQR8vYqk95t4ZWo9CuhY9DZQghBMjkFrfVq0sw7Vv7szbtCqlrL1FSqqJoKDuPSAGTSaVrQgCJvUPsGt682X/3CODgsRK71vJ56BQe6OIvz/iEEE4hm1QLLBaVo6dKuJJvwmRS8fPREt3QC18f5z1TU1WVT77JIX13EQaj9W85rQbCQz2Y9lIEXp4yQCGEcJwEn7hlzGaVWUuz2fNnMaVWhJ+HDkKCdEx6IYIgf5nYIoRwDgk+cUupqsrKX/P47rc8VMpOYbiZ3kNBVVXat/Th2UF18faSnp4Qwnkk+IRLGE0qW/YWsvq3PM5lGzGayoY1A/21PNjFn54d/Anwk16eEML5JPjEbcFiUdFoZPKKEKL2SfAJIYRwK/LwRAghhFuR4BNCCOFWJPiEEEK4FQk+IYQQbkWCTwghhFuR4BNCCOFWJPiEEEK4FQk+IYQQbkWCTwghhFuR4BNCCOFWJPiEEEK4FQk+IYQQbkWCTwghhFuR4BNCCOFWJPiEEEK4FQk+IYQQbkWCTwghhFuR4BNCCOFW/j81rSKz0qsjhgAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -255,7 +270,7 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(from_scipy_sparse_matrix(adjacency), with_labels = True, node_color = pr.ranking_, cmap = 'coolwarm')" + "draw(graph, node_color = np.log(score), cmap = 'coolwarm')" ] }, { @@ -265,20 +280,6 @@ "## Directed graphs" ] }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:29:58.526421Z", - "start_time": "2019-07-15T12:29:58.521206Z" - } - }, - "outputs": [], - "source": [ - "from sknetwork.toy_graphs import painters_graph" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -288,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.542147Z", @@ -303,13 +304,13 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 13, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "adjacency, names = painters_graph(return_labels=True)\n", + "adjacency, names = skn.toy_graphs.painters(return_labels=True)\n", "adjacency" ] }, @@ -317,51 +318,22 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Find Michelangelo's node in the graph." + "**Ranking**" ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:29:58.664715Z", - "start_time": "2019-07-15T12:29:58.659098Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "michelangelo_node = [node for node, name in names.items() if name=='Michelangelo'][0]\n", - "michelangelo_node" - ] - }, - { - "cell_type": "markdown", + "execution_count": 42, "metadata": {}, + "outputs": [], "source": [ - "**Ranking with personalization**" + "pagerank = skn.ranking.PageRank()" ] }, { "cell_type": "code", - "execution_count": 15, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:29:58.922265Z", - "start_time": "2019-07-15T12:29:58.912169Z" - } - }, + "execution_count": 43, + "metadata": {}, "outputs": [ { "data": { @@ -369,14 +341,22 @@ "PageRank(damping_factor=0.85, method='diter', n_iter=25)" ] }, - "execution_count": 15, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pr.fit(adjacency,\n", - " personalization=array([(node == michelangelo_node) for node in range(adjacency.shape[0])]))" + "pagerank.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "score = pagerank.score_" ] }, { @@ -388,31 +368,40 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 55, "metadata": { "ExecuteTime": { - "end_time": "2019-07-15T12:29:59.079191Z", - "start_time": "2019-07-15T12:29:59.075807Z" + "end_time": "2019-07-15T12:29:54.855665Z", + "start_time": "2019-07-15T12:29:54.851966Z" } }, "outputs": [], "source": [ - "from networkx import from_scipy_sparse_matrix, draw, DiGraph" + "from networkx import DiGraph, from_scipy_sparse_matrix, draw" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "graph = from_scipy_sparse_matrix(adjacency, create_using=DiGraph())" + ] + }, + { + "cell_type": "code", + "execution_count": 58, "metadata": { "ExecuteTime": { - "end_time": "2019-07-15T12:29:59.507410Z", - "start_time": "2019-07-15T12:29:59.159529Z" + "end_time": "2019-07-15T12:29:55.341520Z", + "start_time": "2019-07-15T12:29:55.026465Z" } }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -423,26 +412,43 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(from_scipy_sparse_matrix(adjacency,create_using=DiGraph()),\n", - " labels = names,\n", - " node_color = pr.ranking_,\n", - " cmap = 'coolwarm')" + "draw(graph, node_color = np.log(score), cmap = 'coolwarm', labels = names)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Ranking without personalization**" + "**Ranking with personalization**" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "cezanne = 11" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "n = adjacency.shape[0]\n", + "personalization = np.zeros(n)\n", + "personalization[cezanne] = 1" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 61, "metadata": { "ExecuteTime": { - "end_time": "2019-07-15T12:29:59.524736Z", - "start_time": "2019-07-15T12:29:59.514775Z" + "end_time": "2019-07-15T12:29:58.922265Z", + "start_time": "2019-07-15T12:29:58.912169Z" } }, "outputs": [ @@ -452,13 +458,22 @@ "PageRank(damping_factor=0.85, method='diter', n_iter=25)" ] }, - "execution_count": 18, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pr.fit(adjacency)" + "pagerank.fit(adjacency, personalization)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "score = pagerank.score_" ] }, { @@ -470,17 +485,17 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 67, "metadata": { "ExecuteTime": { - "end_time": "2019-07-15T12:29:59.927810Z", - "start_time": "2019-07-15T12:29:59.576083Z" + "end_time": "2019-07-15T12:29:59.507410Z", + "start_time": "2019-07-15T12:29:59.159529Z" } }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -491,10 +506,7 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(from_scipy_sparse_matrix(adjacency,create_using=DiGraph()),\n", - " labels = names,\n", - " node_color = pr.ranking_,\n", - " cmap = 'coolwarm')" + "draw(graph, node_color = np.log(score + 1e-10), cmap = 'coolwarm', labels = names)" ] }, { @@ -504,21 +516,6 @@ "## Bipartite graphs" ] }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:29:59.935397Z", - "start_time": "2019-07-15T12:29:59.929849Z" - } - }, - "outputs": [], - "source": [ - "from sknetwork.toy_graphs import movie_actor_graph\n", - "from sknetwork.utils import bipartite2undirected" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -528,7 +525,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 68, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:59.948034Z", @@ -543,52 +540,19 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 21, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "biadjacency, movies, actors = movie_actor_graph(return_labels=True)\n", + "biadjacency, movies, actors = skn.toy_graphs.movie_actor(return_labels=True)\n", "biadjacency" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Find Aviator's node in the graph." - ] - }, { "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2019-07-15T12:30:00.084786Z", - "start_time": "2019-07-15T12:30:00.075528Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "9" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "aviator_node = [node for node, name in movies.items() if name=='Aviator'][0]\n", - "aviator_node" - ] - }, - { - "cell_type": "code", - "execution_count": 23, + "execution_count": 69, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.160391Z", @@ -597,19 +561,19 @@ }, "outputs": [], "source": [ - "adjacency = bipartite2undirected(biadjacency)" + "adjacency = skn.utils.bipartite2undirected(biadjacency)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Ranking with personalization**" + "**Ranking**" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 70, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.418151Z", @@ -623,14 +587,22 @@ "PageRank(damping_factor=0.85, method='diter', n_iter=25)" ] }, - "execution_count": 24, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pr.fit(adjacency,\n", - " personalization=array([(node == aviator_node) for node in range(adjacency.shape[0])]))" + "pagerank.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "score = pagerank.score_" ] }, { @@ -642,7 +614,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 72, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.579524Z", @@ -656,7 +628,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 73, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.664046Z", @@ -670,7 +642,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 74, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.743915Z", @@ -686,7 +658,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 75, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.828186Z", @@ -701,7 +673,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 76, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.909582Z", @@ -716,7 +688,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 78, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:01.562315Z", @@ -726,7 +698,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -740,28 +712,52 @@ "draw(graph, \n", " pos = pos, \n", " edge_color = 'grey',\n", - " node_color = pr.ranking_, \n", + " node_color = np.log(score), \n", " cmap = 'coolwarm')\n", - "show_labels = draw_networkx_labels(graph,\n", - " pos_labels,\n", - " labels = names)" + "show_labels = draw_networkx_labels(graph, pos_labels, labels = names)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Ranking without personalization**" + "**Ranking with personalization**" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "ExecuteTime": { + "end_time": "2019-07-15T12:30:00.084786Z", + "start_time": "2019-07-15T12:30:00.075528Z" + } + }, + "outputs": [], + "source": [ + "aviator = 9" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "n = adjacency.shape[0]\n", + "personalization = np.zeros(n)\n", + "personalization[aviator] = 1" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 81, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:02.531956Z", "start_time": "2019-07-15T12:30:02.523805Z" - } + }, + "scrolled": true }, "outputs": [ { @@ -770,15 +766,22 @@ "PageRank(damping_factor=0.85, method='diter', n_iter=25)" ] }, - "execution_count": 31, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pr.fit(adjacency)" + "pagerank.fit(adjacency, personalization)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -836,7 +839,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.1" + "version": "3.7.3" }, "toc": { "base_numbering": 1, From a5b6615981788cca25724807036a0c2daf0396e8 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 16 Jul 2019 17:44:35 +0200 Subject: [PATCH 72/92] Notebook Hierarchy --- docs/tutorials/hierarchical_clustering.ipynb | 143 ++++++++++--------- 1 file changed, 74 insertions(+), 69 deletions(-) diff --git a/docs/tutorials/hierarchical_clustering.ipynb b/docs/tutorials/hierarchical_clustering.ipynb index bd3e25832..40581c0fc 100644 --- a/docs/tutorials/hierarchical_clustering.ipynb +++ b/docs/tutorials/hierarchical_clustering.ipynb @@ -26,19 +26,19 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 2, "metadata": {}, + "outputs": [], "source": [ - "**Loading**" + "import sknetwork as skn" ] }, { - "cell_type": "code", - "execution_count": 2, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "from sknetwork.toy_graphs import karate_club_graph" + "**Loading**" ] }, { @@ -47,7 +47,7 @@ "metadata": {}, "outputs": [], "source": [ - "adjacency = karate_club_graph()" + "adjacency = skn.toy_graphs.karate_club()" ] }, { @@ -63,41 +63,21 @@ "metadata": {}, "outputs": [], "source": [ - "from sknetwork.hierarchy import Paris" + "paris = skn.hierarchy.Paris()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "paris = Paris()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Paris(engine='numba')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "paris.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -113,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -122,22 +102,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Warning: If the image does not appear, run the cell again.\n", "show_ = show_dendrogram(dendrogram)" @@ -152,16 +119,7 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "from sknetwork.hierarchy import straight_cut" - ] - }, - { - "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": { "scrolled": true }, @@ -176,13 +134,13 @@ ], "source": [ "# default = 2 clusters\n", - "labels = straight_cut(dendrogram)\n", + "labels = skn.hierarchy.straight_cut(dendrogram)\n", "print(labels)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -200,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -212,13 +170,14 @@ } ], "source": [ - "labels = straight_cut(dendrogram, n_clusters = 4)\n", + "# cut with 4 clusters\n", + "labels = skn.hierarchy.straight_cut(dendrogram, n_clusters = 4)\n", "print(labels)" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -238,7 +197,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Metrics**" + "**Visualization**" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "from networkx import from_scipy_sparse_matrix, draw" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "graph = from_scipy_sparse_matrix(adjacency)" ] }, { @@ -247,12 +224,40 @@ "metadata": {}, "outputs": [], "source": [ - "from sknetwork.hierarchy import dasgupta_cost, tree_sampling_divergence" + "colors = ['r','g','b','c','m','y']" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Warning: If the image does not appear, run the cell again.\n", + "draw(graph, node_color=[colors[labels[i]] for i in graph])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Metrics**" + ] + }, + { + "cell_type": "code", + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -261,18 +266,18 @@ "0.33333333333333326" ] }, - "execution_count": 17, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dasgupta_cost(adjacency, dendrogram)" + "skn.hierarchy.dasgupta_cost(adjacency, dendrogram)" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -281,13 +286,13 @@ "0.6514659468650328" ] }, - "execution_count": 18, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "tree_sampling_divergence(adjacency, dendrogram)" + "skn.hierarchy.tree_sampling_divergence(adjacency, dendrogram)" ] } ], From 6f5810775ad0e1e1747e51429b033479eab5c237 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 16 Jul 2019 18:56:33 +0200 Subject: [PATCH 73/92] Louvain, Paris Do not return the object --- docs/reference/hierarchy.rst | 4 +- docs/tutorials/clustering_Louvain.ipynb | 58 ++++++++++---------- docs/tutorials/hierarchical_clustering.ipynb | 19 +++++-- sknetwork/clustering/bilouvain.py | 38 ++++++++----- sknetwork/clustering/louvain.py | 27 ++++----- sknetwork/clustering/tests/test_bilouvain.py | 9 ++- sknetwork/clustering/tests/test_louvain.py | 30 ++++++---- sknetwork/hierarchy/paris.py | 15 ++--- sknetwork/hierarchy/tests/test_metrics.py | 3 +- sknetwork/ranking/pagerank.py | 23 ++++---- 10 files changed, 125 insertions(+), 101 deletions(-) diff --git a/docs/reference/hierarchy.rst b/docs/reference/hierarchy.rst index 3a7fd249a..bab6820a5 100644 --- a/docs/reference/hierarchy.rst +++ b/docs/reference/hierarchy.rst @@ -12,8 +12,8 @@ clusters of indices ``Z[i, 0]`` and ``Z[i, 1]``, which are at distance ``Z[i, 2] :math:`n+i`, which contains ``Z[i, 3]`` nodes. -Paris algorithm ---------------- +Paris +----- .. automodule:: sknetwork.hierarchy .. autoclass:: sknetwork.hierarchy.Paris diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index bd5e7097b..f42c142b6 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -74,7 +74,7 @@ } ], "source": [ - "adjacency = skn.toy_graphs.karate_club_graph()\n", + "adjacency = skn.toy_graphs.karate_club()\n", "adjacency" ] }, @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:09.211595Z", @@ -99,22 +99,22 @@ { "data": { "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 7, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "louvain = skn.clustering.Louvain()\n", + "louvain = skn.clustering.Louvain(engine = 'python')\n", "louvain.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -132,7 +132,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -157,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -166,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -180,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -205,7 +205,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -228,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -237,7 +237,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -246,7 +246,7 @@ "0.42" ] }, - "execution_count": 18, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -271,7 +271,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -281,13 +281,13 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 19, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "adjacency, names = skn.toy_graphs.painters_graph(return_labels=True)\n", + "adjacency, names = skn.toy_graphs.painters(return_labels=True)\n", "adjacency" ] }, @@ -300,7 +300,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "metadata": { "scrolled": true }, @@ -308,22 +308,22 @@ { "data": { "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 20, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "louvain = skn.clustering.Louvain()\n", + "louvain = skn.clustering.Louvain(engine = 'python')\n", "louvain.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -341,7 +341,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -366,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -375,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -389,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -403,7 +403,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -414,7 +414,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] diff --git a/docs/tutorials/hierarchical_clustering.ipynb b/docs/tutorials/hierarchical_clustering.ipynb index 40581c0fc..1e36a7e62 100644 --- a/docs/tutorials/hierarchical_clustering.ipynb +++ b/docs/tutorials/hierarchical_clustering.ipynb @@ -59,18 +59,29 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "paris = skn.hierarchy.Paris()" + "paris = skn.hierarchy.Paris('python')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Paris(engine='python')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "paris.fit(adjacency)" ] diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index b1d28d019..cb8b0a5a5 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -8,17 +8,17 @@ import numpy as np from scipy import sparse -from typing import Union -from sknetwork.clustering.louvain import Louvain, GreedyModularity +from typing import Union, Optional +from sknetwork.clustering.louvain import Louvain, GreedyModularity, Optimizer from sknetwork.clustering.postprocessing import reindex_clusters from sknetwork.utils.adjacency_formats import bipartite2undirected, bipartite2directed -from sknetwork.utils.checks import check_probs, check_format, check_engine +from sknetwork.utils.checks import check_probs, check_format, check_engine, check_random_state from sknetwork.utils.algorithm_base_class import Algorithm class BiLouvain(Algorithm): """ - BiLouvain algorithm for the co-clustering of biadjacency graphs in Python (default) and Numba. + BiLouvain algorithm for the co-clustering of bipartite graphs. Seeks the best partition of the nodes with respect to bimodularity. @@ -36,12 +36,19 @@ class BiLouvain(Algorithm): :math:`\\delta` is the Kronecker symbol,\n :math:`\\gamma \\ge 0` is the resolution parameter. - The `force_undirected` parameter of the :class:`fit` method forces the algorithm to consider the graph as undirected, without considering its bipartite structure. Parameters ---------- + algorithm : + The optimization algorithm. + Requires a fit method. + Requires `score\\_` and `labels\\_` attributes. + + If ``'default'``, uses greedy modularity optimization algorithm: :class:`GreedyModularity`. + engine : str + ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. resolution : Resolution parameter. tol : @@ -51,8 +58,6 @@ class BiLouvain(Algorithm): max_agg_iter : Maximum number of aggregations. A negative value is interpreted as no limit. - engine : str - ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. verbose : Verbose mode. @@ -72,8 +77,16 @@ class BiLouvain(Algorithm): number of clusters after fit """ - def __init__(self, resolution: float = 1, tol: float = 1e-3, agg_tol: float = 1e-3, max_agg_iter: int = -1, - engine='default', verbose: bool = False): + def __init__(self, engine: str = 'default', algorithm: Union[str, Optimizer] = 'default', resolution: float = 1, + tol: float = 1e-3, agg_tol: float = 1e-3, max_agg_iter: int = -1, + random_state: Optional[Union[np.random.RandomState, int]] = None, verbose: bool = False): + self.random_state = check_random_state(random_state) + if algorithm == 'default': + self.algorithm = GreedyModularity(resolution, tol, engine=check_engine(engine)) + elif isinstance(algorithm, Optimizer): + self.algorithm = algorithm + else: + raise TypeError('Algorithm must be \'auto\' or a valid algorithm.') self.resolution = resolution self.tol = tol self.agg_tol = agg_tol @@ -107,15 +120,11 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] If True, maximizes the modularity of the undirected graph instead of the bimodularity. sorted_cluster : If True, sort labels in decreasing order of cluster size. - - Returns - ------- - self: :class:`BiLouvain` """ biadjacency = check_format(biadjacency) n, p = biadjacency.shape - louvain = Louvain(GreedyModularity(self.resolution, self.tol, engine=self.engine), verbose=self.verbose) + louvain = Louvain(algorithm=self.algorithm, verbose=self.verbose) if force_undirected: adjacency = bipartite2undirected(biadjacency) @@ -138,4 +147,3 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] self.labels_ = labels[:n] self.feature_labels_ = labels[n:] self.aggregate_graph_ = louvain.aggregate_graph_ * adjacency.data.sum() - return self diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 82454cf86..c5942dd75 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -382,6 +382,8 @@ class Louvain(Algorithm): Requires `score\\_` and `labels\\_` attributes. If ``'default'``, uses greedy modularity optimization algorithm: :class:`GreedyModularity`. + engine : str + ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. resolution : Resolution parameter. tol : @@ -393,10 +395,10 @@ class Louvain(Algorithm): A negative value is interpreted as no limit. shuffle_nodes : Enables node shuffling before optimization. - verbose : - Verbose mode. random_state : Random number generator or random seed. If None, numpy.random is used. + verbose : + Verbose mode. Attributes ---------- @@ -411,11 +413,9 @@ class Louvain(Algorithm): Example ------- - >>> louvain = Louvain(GreedyModularity(engine='python')) + >>> louvain = Louvain('python') >>> adjacency = sparse.identity(3, format='csr') >>> louvain.fit(adjacency) - Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), agg_tol=0.001, max_agg_iter=-1, \ -shuffle_nodes=False, verbose=False) >>> louvain.labels_ array([0, 1, 2]) @@ -433,18 +433,20 @@ class Louvain(Algorithm): """ - def __init__(self, algorithm: Union[str, Optimizer] = 'default', resolution: float = 1, tol: float = 1e-3, - agg_tol: float = 1e-3, max_agg_iter: int = -1, shuffle_nodes: bool = False, verbose: bool = False, - random_state: Optional[Union[np.random.RandomState, int]] = None): + def __init__(self, engine: str = 'default', algorithm: Union[str, Optimizer] = 'default', resolution: float = 1, + tol: float = 1e-3, agg_tol: float = 1e-3, max_agg_iter: int = -1, shuffle_nodes: bool = False, + random_state: Optional[Union[np.random.RandomState, int]] = None, verbose: bool = False): self.random_state = check_random_state(random_state) if algorithm == 'default': - self.algorithm = GreedyModularity(resolution, tol, engine=check_engine('default')) + self.algorithm = GreedyModularity(resolution, tol, engine=check_engine(engine)) elif isinstance(algorithm, Optimizer): self.algorithm = algorithm else: raise TypeError('Algorithm must be \'auto\' or a valid algorithm.') + self.resolution = resolution + self.tol = tol if type(max_agg_iter) != int: raise TypeError('The maximum number of iterations must be an integer.') self.agg_tol = agg_tol @@ -457,7 +459,7 @@ def __init__(self, algorithm: Union[str, Optimizer] = 'default', resolution: flo self.shuffle_nodes = shuffle_nodes def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', - in_weights: Union[None, str, np.ndarray] = None, sorted_cluster: bool = True) -> 'Louvain': + in_weights: Union[None, str, np.ndarray] = None, sorted_cluster: bool = True): """ Clustering using chosen Optimizer. @@ -474,10 +476,6 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd If None, taken equal to out-weights. sorted_cluster : If True, sorts labels in decreasing order of cluster size. - - Returns - ------- - self: :class:`Louvain` """ adjacency = check_format(adjacency) @@ -526,4 +524,3 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd if sorted_cluster: self.labels_ = reindex_clusters(self.labels_) self.aggregate_graph_ = graph.norm_adjacency * adjacency.data.sum() - return self diff --git a/sknetwork/clustering/tests/test_bilouvain.py b/sknetwork/clustering/tests/test_bilouvain.py index 3ac7cabbc..ef9fbf266 100644 --- a/sknetwork/clustering/tests/test_bilouvain.py +++ b/sknetwork/clustering/tests/test_bilouvain.py @@ -24,12 +24,15 @@ def setUp(self): self.star_wars_graph = star_wars_villains() def test_star_wars_graph(self): - labels = self.bilouvain.fit(self.star_wars_graph).labels_ + self.bilouvain.fit(self.star_wars_graph) + labels = self.bilouvain.labels_ self.assertEqual(labels.shape, (4,)) - labels = self.bilouvain_high_resolution.fit(self.star_wars_graph).labels_ + self.bilouvain_high_resolution.fit(self.star_wars_graph) + labels = self.bilouvain_high_resolution.labels_ self.assertEqual(labels.shape, (4,)) if is_numba_available: - labels = self.bilouvain_numba.fit(self.star_wars_graph).labels_ + self.bilouvain_numba.fit(self.star_wars_graph) + labels = self.bilouvain_numba.labels_ self.assertEqual(labels.shape, (4,)) self.biouvain_null_resolution.fit(self.star_wars_graph) self.assertEqual(self.biouvain_null_resolution.n_clusters_, 1) diff --git a/sknetwork/clustering/tests/test_louvain.py b/sknetwork/clustering/tests/test_louvain.py index ac65462aa..18c2ac22d 100644 --- a/sknetwork/clustering/tests/test_louvain.py +++ b/sknetwork/clustering/tests/test_louvain.py @@ -14,15 +14,15 @@ class TestLouvainClustering(unittest.TestCase): def setUp(self): self.louvain = Louvain() - self.louvain_high_resolution = Louvain(GreedyModularity(engine='python', resolution=2)) - self.louvain_null_resolution = Louvain(GreedyModularity(engine='python', resolution=0)) + self.louvain_high_resolution = Louvain(engine='python', resolution=2) + self.louvain_null_resolution = Louvain(engine='python', resolution=0) if is_numba_available: - self.louvain_numba = Louvain(GreedyModularity(engine='numba')) + self.louvain_numba = Louvain(engine='numba') else: with self.assertRaises(ValueError): - Louvain(GreedyModularity(engine='numba')) - self.louvain_shuffle_first = Louvain(GreedyModularity(engine='python'), shuffle_nodes=True, random_state=0) - self.louvain_shuffle_second = Louvain(GreedyModularity(engine='python'), shuffle_nodes=True, random_state=123) + Louvain(engine='numba') + self.louvain_shuffle_first = Louvain(engine='python', shuffle_nodes=True, random_state=0) + self.louvain_shuffle_second = Louvain(engine='python', shuffle_nodes=True, random_state=123) self.karate_club_graph = karate_club() self.bow_tie_graph = bow_tie() self.painters_graph = painters(return_labels=False) @@ -39,25 +39,31 @@ def test_unknown_options(self): self.louvain.fit(identity(2, format='csr'), weights='unknown') def test_single_node_graph(self): - self.assertEqual(self.louvain.fit(identity(1, format='csr')).labels_, [0]) + self.louvain.fit(identity(1, format='csr')) + self.assertEqual(self.louvain.labels_, [0]) def test_undirected(self): - labels = self.louvain.fit(self.karate_club_graph).labels_ + self.louvain.fit(self.karate_club_graph) + labels = self.louvain.labels_ self.assertEqual(labels.shape, (34,)) self.assertAlmostEqual(modularity(self.karate_club_graph, labels), 0.42, 2) if is_numba_available: - labels = self.louvain_numba.fit(self.karate_club_graph).labels_ + self.louvain_numba.fit(self.karate_club_graph) + labels = self.louvain_numba.labels_ self.assertEqual(labels.shape, (34,)) self.assertAlmostEqual(modularity(self.karate_club_graph, labels), 0.42, 2) - labels = self.louvain_high_resolution.fit(self.karate_club_graph).labels_ + self.louvain_high_resolution.fit(self.karate_club_graph) + labels = self.louvain_high_resolution.labels_ self.assertEqual(labels.shape, (34,)) self.assertAlmostEqual(modularity(self.karate_club_graph, labels), 0.34, 2) - labels = self.louvain_null_resolution.fit(self.karate_club_graph).labels_ + self.louvain_null_resolution.fit(self.karate_club_graph) + labels = self.louvain_null_resolution.labels_ self.assertEqual(labels.shape, (34,)) self.assertEqual(self.louvain_null_resolution.n_clusters_, 1) def test_directed(self): - labels = self.louvain.fit(self.painters_graph).labels_ + self.louvain.fit(self.painters_graph) + labels = self.louvain.labels_ self.assertEqual(labels.shape, (14,)) self.assertAlmostEqual(modularity(self.painters_graph, labels), 0.32, 2) diff --git a/sknetwork/hierarchy/paris.py b/sknetwork/hierarchy/paris.py index 3ed4e24fd..527785674 100644 --- a/sknetwork/hierarchy/paris.py +++ b/sknetwork/hierarchy/paris.py @@ -283,6 +283,10 @@ class Paris(Algorithm): * :math:`w_{j}` is the weight of cluster j. + Parameters + ---------- + engine : str + ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. Attributes ---------- @@ -295,7 +299,6 @@ class Paris(Algorithm): >>> adjacency = house() >>> paris = Paris('python') >>> paris.fit(adjacency) - Paris(engine='python') >>> paris.dendrogram_ array([[3. , 2. , 0.33333333, 2. ], [1. , 0. , 0.5 , 2. ], @@ -304,7 +307,7 @@ class Paris(Algorithm): Notes ----- - Each row of the dendrogram = i, j, height, size of cluster i + j. + Each row of the dendrogram = :math:`i, j`, height, size of cluster :math:`i + j`. See Also @@ -336,10 +339,6 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd Node weights used in the linkage. reorder : If True, reorder the dendrogram in increasing order of heights. - - Returns - ------- - self: :class:`Paris` """ adjacency = check_format(adjacency) @@ -407,8 +406,6 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd self.dendrogram_ = dendrogram - return self - elif self.engine == 'numba': n_nodes = np.int32(adjacency.shape[0]) @@ -421,7 +418,5 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd self.dendrogram_ = dendrogram - return self - else: raise ValueError('Unknown engine.') diff --git a/sknetwork/hierarchy/tests/test_metrics.py b/sknetwork/hierarchy/tests/test_metrics.py index eec319ca4..d35e38b6a 100644 --- a/sknetwork/hierarchy/tests/test_metrics.py +++ b/sknetwork/hierarchy/tests/test_metrics.py @@ -18,7 +18,8 @@ def setUp(self): def test_undirected(self): adjacency = self.karate_club - dendrogram = self.paris.fit(adjacency).dendrogram_ + self.paris.fit(adjacency) + dendrogram = self.paris.dendrogram_ tsd = tree_sampling_divergence(adjacency, dendrogram, normalized=True) self.assertAlmostEqual(tsd, .65, 2) dc = dasgupta_cost(adjacency, dendrogram, normalized=True) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 2c0bd00dc..a7d3d1b8e 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -15,20 +15,23 @@ from typing import Union -def diffusion(indptr, indices, data, flow_history, current_flow, damping_factor): +def diffusion(indptr: np.ndarray, indices: np.ndarray, data: np.ndarray, flow_history: np.ndarray, + current_flow: np.ndarray, damping_factor: float): """Diffusion for D-iteration. Parameters ---------- - indptr: - CSR format index pointer array of the normalized adjacency matrix. - indices: - CSR format index array of the normalized adjacency matrix. - data: - CSR format data array of the normalized adjacency matrix. - flow_history - current_flow - damping_factor + indptr : n + index pointer array of the normalized adjacency matrix. + indices : + index array of the normalized adjacency matrix. + data : + data array of the normalized adjacency matrix. + flow_history : + past flow + current_flow : + current flow + damping_factor : Damping factor for D-iteration """ From 9fe9b3799438b13f257bb76fc3d3b45456b7bffc Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 16 Jul 2019 19:16:25 +0200 Subject: [PATCH 74/92] Docs + no returned object in PageRank --- docs/tutorials/clustering_Louvain.ipynb | 142 ++++++--------- docs/tutorials/hierarchical_clustering.ipynb | 48 ++--- docs/tutorials/pagerank.ipynb | 175 ++++++------------- sknetwork/clustering/bilouvain.py | 4 +- sknetwork/clustering/louvain.py | 4 +- sknetwork/clustering/metrics.py | 2 +- sknetwork/hierarchy/metrics.py | 26 +-- sknetwork/ranking/pagerank.py | 5 +- sknetwork/ranking/tests/test_pagerank.py | 21 ++- 9 files changed, 158 insertions(+), 269 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index f42c142b6..96745298b 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -95,18 +95,7 @@ }, "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "louvain = skn.clustering.Louvain(engine = 'python')\n", "louvain.fit(adjacency)" @@ -205,7 +194,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -271,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -281,7 +270,7 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -300,22 +289,11 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "louvain = skn.clustering.Louvain(engine = 'python')\n", "louvain.fit(adjacency)" @@ -323,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -341,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -366,7 +344,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -375,7 +353,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -389,7 +367,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -403,7 +381,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -414,7 +392,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdd3zN1//A8dfNzd7LjEhiVan9taIotWKTWOHGKLWL0lapH0XNqg4tSpXElkQIYrZRalabxIhYkUSCJGRdWTe55/dH6lYkITSo5Dwfjzwe7ufzOedzzice953zOUshhBBIkiRJUhmh96oLIEmSJEkvkwx8kiRJUpkiA58kSZJUpsjAJ0mSJJUpMvBJkiRJZYoMfJIkSVKZIgOfJEmSVKbIwCdJkiSVKTLwSZIkSWWKDHySJElSmSIDnyRJklSmyMAnSZIklSky8EmSJElligx8kiRJUpkiA58kSZJUpsjAJ0mSJJUpMvBJkiRJZYoMfJIkSVKZIgOfJEmSVKbIwCdJkiSVKTLwSZIkSWWK/qsugCRJ0ouWrknnRMwJ7qXfA8DO1A5XR1dMDUxfccmkV0EGPkmSSq2r967y7elv+TnkZ5R6SoQQACgUCnK1uXg18GJyi8nUsqv1iksqvUwK8fB/giRJUimhFVqmHZzGyj9WkqvNRaPVFHqdgZ4B+nr6jGg0gm/dvkVPIXt/ygIZ+CRJKlWEEHj6ebL7ym7SNenFSmNqYEqXGl3Y0W+HDH5lgPwNS5JUqgz9eijb3ttW7KAHeX2A+6/t59PDn+Y7PmfOHIYMGVLSRQRgwYIFjBw58l/nY25uzo0bN0qgRGWHDHySJBXJ2dmZw4cPv+piFFtKZgpbL2zleV5kpWvS+fbMtyRlJP3rcowePRovL68Cx8PCwjAyMuL+/fvMmDGDtWvX/ut7qdVqqlWr9q/zKUtk4JMk6bWVk5OT77N3qPe/elWpp9Bj3V/r/m2xGDZsGP7+/jx48CDfcW9vb7p3746tre2/vof0/GTgkyTpuezZs4eGDRtibW2Nq6srYWFhunPh4eG88847WFtbU7duXXbv3q07N2zYMMaPH0+3bt2wsLCgefPmXL9+XXd+0qRJODo6YmlpSZMmTTh27Jju3Jw5c/Dw8GDIkCFYWlqyfv16MjIyGDZsGDY2NnzY60OyorPyFzQB+BlYCHwPXC66Tunx6cxQzcDCwoKOHTuSmJiY73y/fv2oWLEiVlZWtGnThosXLxaaT8uWLXFwcMDPz093LDc3l82bNzN06FBdXR6+Rr158yYKhYINGzZQtWpV7O3t+eKLL/KlXbBgAdWrV8fCwoImTZoQExMD5I1QvXbtWtGVkgqQgU+SpGf2559/MmLECFavXs29e/cYPXo0PXv2JCsrC41GQ48ePejUqRPx8fF89913DB48mIiICF36LVu2MHv2bJKSkqhRowYzZ87UnWvatCkhISHcv38fT09P+vXrR2Zmpu78rl278PDwIDk5mcGDB/P5559z/fp1zl04h2KIAkIeKWgusBmoDnwEuAH+QP549g8/yK2Yy8WbF5k1axYbNmzId9rNzY2rV68SHx9P48aNGTx4cJHPyMvLC29vb93nw4cPo9FocHNzKzLN8ePHiYiI4MiRI8ydO5fw8HAAvvrqK7Zs2cK+fftITU1l3bp1mJr+MwcxOze7yDylgmTgkyTpma1Zs4bRo0fTvHlzlEolQ4cOxcjIiFOnTnHq1CnUajXTp0/H0NCQ9u3b0717d7Zs2aJL37dvX5o1a4a+vj6DBw8mJOSfaDVkyBDs7OzQ19dn6tSpZGVl5QuaLVu2pHfv3ujp6WFiYsL27duZOXMmClMFhraG0PyRgt4CsoG3yZu1XA2oBZwvpFLJQCyYdDIhQ2TQpk0bevTogVqt5uuvvyY8PJwRI0ZgYWGBkZERc+bMITQ0lJSUlEKfkUql4ujRo9y6dQvIe83p6emJgYFBkc919uzZmJiY0KBBAxo0aEBoaCgAa9euZf78+bzxxhsoFApsnG1Y8ucS7JfYA/DWD29hMM+Ahqsasvn8ZrJysoq8hyQnsEuS9ByioqLYsGED3333ne5YdnY2cXFx6Onp4ejoiJ7eP39XOzk5ERsbq/tcsWJF3b9NTU1Rq9W6z8uWLWPt2rXExcWhUChITU3N98rR0dExX1ni4uJwdHTEUGmIQID1IyfTACvy/4lv9ffxx6UBJpCtyMZ3my9xl+IICgoiLS2NvXv3Ymdnx4YNG9ixYwcJCQm6+iUmJmJlZVUgu6pVq9KmTRs2btzIhAkTCAgIyPfatjBFPZeYmBiqV69O/IN4VP4qfov+Da3Q6lp6QghytDmE3g1lzJ4xjNkzhs/afMZHrh+hUCieeM+ySAY+SZKemaOjIzNnzsz3ivKhY8eOERMTg1ar1QWH6OhoatV6+uoox44dY/HixRw5coS6deuip6eHjY1NvlGaj3+RV6pUKS8wvFEdTa4GHm2AWZD3Wcs/wS8FsCvk5hZABmgyNcybMY+s1H9aTQqFgvnz53P//n2WL1+Oh4cHmZmZBcr2uKFDh7Jo0SIqVaqEi4sLjRs3fuozKIyjoyO/h/7OnANzuJd+r8gJ+QBp2XlRfe7RuVyMv8jPvX+WcxMfI5+GJElPpNFoyMzM1P3k5OQwatQoVq1axenTpxFC8ODBA/bu3UtaWhrNmzfHzMyMJUuWoNFoCA4OJjAwkIEDBz71Xmlpaejr61OuXDlycnKYO3cuqampT0zTv39/Fi5cSEZaBm9bvQ2nHznpABgCv5PX3xcJXAHeKiQja6AymBwyobdbb+rWras7JYQgLS2NpKQkhg4diomJCXZ2edFzwIABjB07Fm9vb+Li4vJl6e7uTkxMDLNnz9YNankeg7wGMeGjCdyNvpsX3O8ARU1TTALmwIPMB/iG+zL1wNTnvm9hSsNgGhn4JEl6oq5du2JiYqL7mTNnDv/73/9Ys2YNEyZMwMbGhho1arB+/XoADA0N2b17N0FBQdjb2zNu3Di8vb2pXbv2U+/VuXNn3NzcqFWrFk5OThgbGxd4tfm42bNn4+TkhIuLCze+u4FhY8N/TuoDg4BrwBLAB8gBfgSWAgHAI91hJgNNMI4zZtu2bQVGbDo5OdGtWzdMTU2pUqUKY8aMybuFvj579+5l9OjRODg4oFQqsbW1pX79+gwfPpw33niDmJgYBg0alC+/kJAQNm3ahLm5OW+9lReJV65cyYkTJwrUMbpONNo3tQhvkTc6dTdQdKNPJ12Tzupzqwm5808fqrOzMyYmJpibm1OxYkWGDRuW71VzWSCXLJMkqdQQQuDyjQtRKVGFX7Ac6EneKM9U8gJhLaBj3mkHCweip0Rz+NBhunfvjkaTF1309PSwtbXlxIkT1KxZs8j75+TkcOrUKYKDgzl37hwRERHExcWRmpqKEAJTU1PKly9P9erV0dfXJyoqitOnT2Nubs7333/PlClTyM3NZfLkySxevBhDQ0PSstKo8GUFMnIyivcQkoBvgFmAEpQKJZ71PPHukzfC1NnZmbVr19KhQwfu3LlD586d6d69e77pE0+iUCi4evUqNWrUKF55/oNki0+SpFJDoVCwc8DO4m03ZAnUBOLzPprkmtD4TGMcKjswfPhwevbsibGxMQYGBigUChITE6lVqxZ6enp8+umn3Lt3j2nTplG1alUqVKjAmDFj0Gg0vP3227z99tucPXuWoUOHYmxszODBg7lx4wbffPMN7777Lmq1mpMnTxIREYGVlRXGxsbMmzeP3NxcAFasWIGNjQ22trZUKFeBbJ/s/H2Xy4Hrj3z+FfCjULkilx2XdpCSWXD0acWKFencuXO+UbXvvPNOvhVl1q9fz9tvv50v3b59+6hWrRr29vZ89NFHaLVa3bl169bx5ptvYmNjQ+fOnYmK+uePEIVCwapVq6hZsyY2NjaMHz9e10d67do12rZti5WVFfb29gwYMKCo39y/JgOfJEmlSqNKjQgcFIiZgdmTL0wBrgKVwMzAjIYnG1LJqhLXrl3jr7/+Ijo6mgEDBtC1a1fWrl1Lq1atiIqKwsvLi5UrV2Jvb8+PP/7IRx99xJUrV4iNjWXu3Lm67O/cucP9+/eJiorixx9/xMXFhZEjR7J27VpOnTrFN998g6urK2q1Gj8/P+rXr69Lm5OTQ3p6OklJSShUCnKVubDv+Z+JgZ4B+6/tL3D81q1bBAUFPXPrbefOnfzxxx/8+eef7Nq1i3Xr8la7CQgIYMGCBfj7+5OQkEDr1q0LvOLds2cPZ8+eJTQ0lO3bt3PgwAEAZs2aRadOnUhKSuLWrVtMnDjxOWv7dDLwSZJU6rR3ac/J907SyrEVxvrGGOg9MnduK3n9ZOtA6aKk2cBm7Oqxi3O/nePrr7/GzMyM8uXLM2XKFKKioggICNAlrVq1KuvXrycpKQljY2Pq1q3L1KlTKV++PPHx8fkmvOvp6fH5559jZGSEiYlJoeU8deoUDg55LcyH8wGNjY1xcXFh5syZ7N27FwtHC2gNFPH2tjg0Wg0J6Qm6z71798bCwgJHR0fKly/P559//kz5ffLJJ9ja2lK1alUmT56sm6O5evVqPv30U95880309fWZMWMGISEh+Vp906dPx9ramqpVq9KuXTtda9PAwICoqCji4uIwNjYu0MosSTLwSZJUKtWrUI/jI45zfux5Rv9vNJXMK6FQKDAeYkylLyoxbtM4Lu27xOmxp7HIsECj0VCpUiWsra2xtrZm9OjRxMfHF5p3QkICmZmZhIeHY2pqilKp5I8//uD27dvY2NiwdOlS7OzsMDY2fmIZW7RoQXJyMomJiZw+fZp169Zx4cIFLly4QEJCAmPHjiV+TnzekmuZ5E3LeA5aoc0bDfq3gIAA0tLSCA4O5vLlywWWZnuaRwccOTk56UazRkVFMWnSJN0ztLW1RQhRrDmcS5YsQQhBs2bNqFu3rq4V+SLIwCdJUqlWw7YG37l9x+A7g1GqlQR6BhI3NY7vu32v23nd0dERIyMjEhMTSU5OJjk5mdTUVN3IzsfnDtrb22NiYsLFixdJTk4mPT2d3NxckpKSGDFiBCdPnuTOnTtUq1aNRYsWkZ399CXF9PT0GD58ONWrV2fZsmVERERw+vRp6n5VF4b/fdHDoYiG5B/V+ZRBmQZ6BtiaFFwYu23btgwbNoxp06bpjpmZmZGe/s9ciTt37hRI93CdUMibo1m5cmUg7zmuXr1a9wyTk5PJyMjA1dX1yQUkLyCuWbOGuLg4Vq9ezbhx417YtAkZ+CRJKvUerhmak5NTaOumUqVKdOrUialTp5KamopWq+X69escPXoUgAoVKnDr1i1dANPT02PUqFFMmTJF1yqMjY3l9OnTLFu2DH9/fypUqECjRo2YN28eJiYmNG/enF27dj2xnD4+PixdupSzZ8+SlZVFWloa7Su0R++3x76qKwIXyJubGAtcenL9c7Q5tHVuW+i5yZMnc+jQId0rx4YNG+Lv7096ejrXrl3jp59+KpBm6dKlJCUlERMTwzfffKMbiDJmzBgWLlyo+4MhJSWFHTt2PLlwf9uxY4dueTcbGxsUCgVKpbJYaZ+VDHySJJV648eP101N2Lev8FEi3t7eZGdnU6dOHWxsbPDw8OD27dsAtG/fnrp161KxYkXs7fPWx1y8eDE1atSgRYsWWFpa0qFDh3xriurr6+Pn58eDBw/w8/NDoVDQt29fzMzMcHd3z/f676GtW7cyffp0Dh8+zOnTp6lVqxZrhq5Br+ZjX9XtyJu2sAgIBuo9uf4tq7TE2dq50HPlypXDy8uLefPmATBlyhQMDQ2pUKECQ4cOLXQh7l69etGkSRMaNmxIt27deO+99wDo06cPn3zyCQMHDsTS0pK33nqLoKCgJxfub2fPnqV58+aYm5vTs2dPvvnmG1xcXIqV9lnJeXySJJVqwcHBdOnShaysvJnq9vb23L17N99aoi9LdnY2X331FT/++CORkZFUqFCBwYMHM2vWLBQKBZ999hkrV64kNzcXPT09nJ2dOXLkCAP2DOBM4hl4jmU3jfWM8R/oj1vNoneFKGtki0+SpFLt5MmTGBkZAXkjBxMTEzl79uwrKYuhoSHTp0/nxo0bxMbG0q1bN1avXq2bs/foItZCCG7cuIGLiwtn5p3BSM/ome9noDBAG6fl8OrDxepnLCtk4JMkqVT79NNPSUlJwdXVFX9/fyIiImjatOkrK48Qgj/++IPFixezZ88e6tevz7Rp02jTpg3h4eG6SeyPvoybNXoWuzx3YaJf+LSIwhgrjalhV4PLsy5z7eo1XF1duXr1aonX53UkA58kSWVCQkICNWvW1K2+8rJFR0ezcOFC6tSpQ//+/bG2tub48eOcOHGCpUuX8uuvv5KRkaHblf0hU1NT3nvvPTrX6Mxhr8PYGNtgbmhe5H2UCiWmBqa0cW7DmVFncKnsQkBAAMOHD8fV1RVvb+8n7ihRFsg+PkmSygRra2siIyOxsbF5afdMTU3F19cXHx8fwsLC6NevHyqVCldX1wJTJO7evYunpyfBwcEoFApdy8/e3p7ExESqVq3Ke++9x+SpkwmKDGLx74u5nHgZQ2XeotwCQXZuNgPrDmRKyynUr1C/QHnCwsIYOHAgjRs35ocffsDS0vLFP4T/IiFJklTKZWZmCgMDA6HVal/4vTQajdi7d68YOHCgsLS0FL169RK+vr4iIyOj0Ou1Wq1Yu3atMDY2FoDo1KmTyMrKEo0bNxadOnUSQghx5coV0a9fP2FmZib09PREkyZNxI4dO0RkUqT4Pfp3cej6IfFH7B8iJTPlqeV78OCBeP/990W1atXE6dOnS7TurwsZ+CRJKvWio6OFg4PDC8tfq9WKc+fOicmTJ4sKFSqI5s2bixUrVoiEhIQnprt69apo1qyZ0NfXF0ZGRsLX17dAvo/bu3evcHV1FUqlUhgbG4uePXuK0NDQZy7zjh07RLly5cTixYtFbm7uM6d/ncnAJ0lSqffHH3+IRo0alXi+0dHRYuHChaJOnTrC2dlZzJo1S0RERDw1XXZ2tli0aJGulff222+LtLS0Z7q3RqMRy5YtEzVq1BAKhUKUK1dOfPDBB+LevXvFzuPmzZuiVatWokOHDiIuLu6Z7v86k4NbJEkq9eLj4ylfvnyJ5JWWlsb69et59913adCgATdu3GDVqlVcv36duXPnUqtWrSemP3fuHA0aNGDOnDnk5uaybt06jh07hrl50QNWCqOvr8+HH37I1atXuXPnDu7u7mzatAl7e3tq167NihUryMnJeWIeTk5OBAcH4+rqSuPGjfNN7o+MjHxq+tfWq468kiRJL9r69euFSqV67vQajUYEBQUJT09PYWlpKXr06CG2b99eZL9dYdRqtfjwww+FmZmZUCgUolGjRs/UOiuus2fPCjc3N2FkZCT09fVFmzZtxOHDh5+aLjg4WDg6OoopU6aIixcvCmNjY7Fo0aIir8/UZIrLCZfF6VunReidUBGvji/JarxQclSnJEml3tKlS7l79y5ffvllsdMIIQgNDcXHx4fNmzfj6OiIl5cXAwYMoFy5cs90/4MHDzJq1CiSkpJIT09n2bJlTJo06Vmr8Uy0Wi1btmzhyy+/JDQ0VLcU2Lx584pcCuzevXuMGDGCAwcOkJ2djbm5ObGxsVhYWOiuiUyK5Nsz37L2z7zNapUKJQJBVk4WzRya8UmrT+hSowtKvRezzmZJkK86JUkq9e7evUuFChWKdW1sbCxLliyhfv369O7dGxMTE3799VfOnDnDhAkTninoJSYm4uXlxaBBg7h16xYODg5ER0e/8KAHeQtpDx48mL/++gu1Ws3kyZM5evQo1apVw9HRkf/7v//LtwsDgJ2dHRUqVECr1SKEIDMzk6VLlwKQlZPFQN+B1PmhDj+c/QF1thp1tpqUrBRSs1LJys3iWPQxBvkNosryKpyLO/fC6/i8ZItPkqRSz8vLi3fffZehQ4cWel6tVuPv74+Pjw/nzp2jb9++qFQqWrdu/VyT3YUQbN68mSlTpgB5AXD27NnMnj37X9WjJERGRvLZZ58RGBiIWq2mQYMGTJs2jUGDBnH58mXq1q2LgYEBRkZGqNVq9PT0iLgRgedBTy7EXyAjJ6NY9zE1MGWv517ecX7nxVboOcgWnyRJpV5hg1tyc3M5ePAgKpWKKlWqsH37dkaOHElsbCxr166lbdu2zxX0bt68SdeuXZk+fTr379/HxMSEq1evvpSgN2bMGN0uC0VxcXEhNjaWr776ioMHD2JpacmwYcMwNTWlR48eKJVKlEolEyZM4P/+7/94o/YbDAkcwvn483lB72egGI25dE06Pbb04FLCU/ZMeg7BwcFUqVLludPLwCdJUqn3aOALCwtj2rRpODo6MnPmTJo2bcqVK1fYs2cPAwYMwMSk+OthPio3N5fly5fTpEkTLl26xK1bt/jggw+IioqievXq/7oOzs7OGBoaFthPsGHDhigUCm7evMmqVauYNWtWsfPs0KEDR48eJSMjgyVLlhAVFUVubi6ZmZl8+eWX1KtXjx/2/sCF1Atk5mQ+c5kfZD9g6sGpz5zuRdN/1QWQJEl60eLi4ti5cycjRowgKSmJIUOGcOTIEd58880SyT8sLIyRI0eSnp6OWq1GX1+f0NBQ6tcvuGzYv+Hi4sKWLVuYOHEiAOfPnycjo3ivHp9EX1+fRo0aIYTAxMSE3NxcsrOz6devHw4fOZBulv70TAohEARHBhOXFkdli8r/upwlRbb4JEkqlR48eMDGjRvp3Lkzd+/e1e0WfvPmTRYsWFAiQS8jI4MZM2bQoUMH0tPTuXjxIoMHD+b27dslHvQAVCoV3t7eus8bNmzAy8tL93nYsGF89tlnus+7du2iYcOGWFpaUr16dfbv3687FxUVRatWrbCwsKBTp04YGRnx6aef8vXXX7No0SIaNGiQN6rTOxYRWcRQkPvAemDx3z9+wKNxeDlojmto1KARVlZWDBgwgMzMf1qOS5YsoVKlSlSuXJm1a9eiUCi4du0aAFlZWUybNo2qVatSoUIFxowZU2SQDw8P55133sHa2pq6deuye/fuJz5HGfgkSSo1cnNzOXz4MEOHDsXBwYHNmzfTr18/LC0t2bBhA++8806J7cwQHBxMgwYNOH78OA8ePCA2Npbjx4+zbt26F7b7Q4sWLUhNTdVtX7Rt27YCuzk8dObMGby8vFi6dCnJycn89ttvODs7685v3ryZn3/+mfj4eLKzs/H392f+/Pl069aN+fPns2DBAlYeX4lJVxPYDjwo5CYCaA1MBSYAKeTtCP+I3PO5WL5nSWRkJGFhYaxfvx6A/fv389VXX3H48GGuXbvG0aNH86X75JNPuHLlCiEhIVy7do3Y2Fjmzp1boAgajYYePXrQqVMn4uPj+e677wrdNf5RMvBJkvTaO3/+PB9//DFOTk588sknNGrUiIiICPbt20fr1q2LPZWhOJKSkhg1ahQqlQp7e3uOHz+Om5sbCQkJtGrVqsTuU5SHrb5Dhw5Ru3ZtHBwcCr3up59+YsSIEXTs2BE9PT0cHByoXbu27vzw4cOpVasWJiYm9O/fn5CQEIQQbNy4ka5du9K1a1eSs5IR1QVUBgrbys8OqE5ep5kZ0BKIeuya5pBunI6trS09evQgJCQEgO3btzN8+HDq1q2LqalpvsE/QgjWrFnD8uXLsbW1xcLCghkzZrB169YCRTh16hRqtZrp06djaGhI+/bt6d69+xOfoezjkyTptXTnzh02b96Mj48PiYmJDB48mAMHDlC3bt1815XUcmVCCPz8/Pjggw9o2bIlarWasLAwgoKC6Ny587/Ov7hUKhVt2rQhMjIy32vOx8XExNC1a9ciz1esWFH3b1NTU/78808qVaqEnZ0dV69eJTAwkOzc7LxBLbmAcyGZqIEgIBrIIq8F+PjYIHN0WzCZmpoSFxcH5PW7/u9//9Nd5ujoqPt3QkIC6enpNGnSRHdMCKHbqulRcXFxODo65mtlOzk5FVlvkIFPkqTXSHp6OgEBAXh7e3Pq1Cl69+7NsmXLaNu2LUpl4SuFlETgi42NZfz48Vy5coUmTZqwc+dOOnbsyK5duzA2Nv5XeT8rJycnXFxc2LdvHz/99FOR1zk6OnL9+vVi56uvr8/t27e5e/cuenp6pKam0m5iO85WPEtadlrhiY4ACmAsYAqEA/sKXmZnalfgWKVKlbh165buc0xMjO7f9vb2mJiYcPHixSJbtA9VrlyZmJgYtFqtLvhFR0c/MY181SlJ0n+aVqvll19+YdiwYTg4OODj44OXlxexsbGsX7+e9u3bFxn04NlWbSns3itXrqRhw4ZUrlyZ+/fvc/jwYbZt28aBAwdeetB76KeffuKXX37BzMysyGvee+89fv75Z44cOYJWqyU2NpbLly8DeX2h165dY+XKlbq5f7dv39alfRhEFNcVZGdlQyR5/XePywIMAWMgFThR8BIjfSO86hdsmfbv35+ff/6Z8PBw0tPT8/Xf6enpMWrUKKZMmUJ8fDyQ98fHgQMHCuTTvHlzzMzMWLJkCRqNhuDgYAIDA4t8LiADnyRJ/1EXL15k+vTpODk5MXXqVOrXr8+lS5cICgrC09PziV/6j3reFt+lS5do06YNGzdupFu3bqxevZrq1asTHx9Pv379njm/klS9evV8rwkL06xZM9atW8eECRMwMzOjfv36jBw5kpo1a3LixAm2bt3KuXPnqFu3Lv379y+wq0Rubi5HDxyF5eQFtMIGdr4D3AYWApuAQgbKaoWWEY1GFDju5ubGBx98QLt27ahRowYtW7YEwMjICIDFixdTo0YNWrRogaWlJR06dCAiIqJAPoaGhuzevZugoCDs7e0ZN25cvpGvhZFLlkmS9J9x9+5dtmzZgre3N3fv3mXw4MGoVCrq1av33HmOGzeOunXrMn78+GJdn5WVxaJFi1ixYgUTJkxg3bp13L59mx9++IGRI0c+dzletMzMTC5evEhoaGi+HxMTExo0aJDvp1atWujr65ORkcGBAwfw8/Njz549pKSk6ObyqVQqVq1axV93/qL1z61J1zz7XD6lQkm/Ov3Y4q80KGwAACAASURBVLHlqdeGh4fz1ltvkZWVhb7+i+2Fk4FPkqRXKiMjg127duHt7c2JEyfo1asXKpWKdu3aPfEVZnF5eHgwYMCAYrXSTpw4wahRo6hRowY1atTg66+/pl69ehw+fBh7e/t/XZaScufOnXzBLSQkhBs3blCzZs0CQe7x1q5arSYoKAhfX18OHDhA48aN8fDwoE+fPqxcuZL58+czduxYVqxYoRuUMmbPGHzCfJ4p+ClQYGdqR+iY0CInr+/cuZNu3brx4MEDhg4dip6eHgEBAc//YIpbNhn4JEl62bRaLUePHsXHx4edO3fSrFkzVCoVffr0KfYrzOJq06YN8+bNo23btkVec+rUKWbNmsXFixeZM2cOX331FdeuXWPx4sVMnfrqltzSaDRERETkC3ChoaHk5OQUCHB16tTRvSZ8XEpKCnv27MHPz48jR47QsmVL3N3d6d27d77dJh6ucDNu3Dhd0API1eYywHcA+6/t54GmsAl9+SkVSqyMrPht+G/ULV+3yOu6dOnCyZMnUSqVtG3blh9++IFKlSo9wxN6PjLwSZL00oSHh+Pj48OmTZuwtrZGpVLh6elJ5colt5xVTEoM35/9nsArgSRnJhN/J56aDjUZ02IMQxsMxcrYKt/1u3btol+/fuTk5DB+/HhWrVqFi4sLhw8fpmrVqiVWrqdJSkoqEOAuX76Mo6NjvgDXsGFDHBwc8gWmwty/f59du3bh5+fHsWPHaNu2Le7u7vTs2RMbG5tnLp8QgtnBs1l2YhkKhaLQAKiv0MdAaUC9CvXY0W8HVa1e3vN7FjLwSZL0QsXHx7N161a8vb2Ji4vT9duV9JJe5++e58ODH3Is6hgAWblZ+c6bGpiiFVr61+nP0k5L0aZp+eCDDzh+/Dj3798nKyvv+unTp7Nw4cISLdujtFot169fLxDkkpKSqF+/fr4gV69evWdqAcfHxxMQEICvry+nT5+mQ4cOeHh40K1bNywtLUuk/OpsNZvCNrHkxBIikyIxVBqSK3Ix0DNgSP0hTG4xmTrl6pTIvV4UGfgkSSpxGRkZBAYG4u3tzfHjx+nRowcqlYp33323RPrtHnfw+kH6butbrNdw+nr6mGKK0lvJyD4jWbVqFWlpefPUDAwMGDNmDN9++22JlEutVnP+/HldcAsNDeXChQvY2dkVaMW5uLg811JncXFx+Pv74+fnx19//YWbmxvu7u64ubmV+Gvjx+Voc0jJTMHEwAQTfZOntkL/K+QEdkmSSoRWq+XYsWP4+Pjg7+9PkyZNUKlUbN26FXNz8xd235MxJ+n2fjdyEnLA/enX52hzSNWmYjPChgN7D5CWloaenh76+vpPnSxdlNmzZxMWFsbw4cPzDTqJjY2lTp06ugDn6elJ/fr1sba2fq77PBQVFYW/vz++vr6Eh4fTvXt3pkyZQqdOnV7q3EJ9Pf1CJ6f/18nAJ0nSvxIREYGPjw8bN27EwsIClUpFWFgYVapUwdnZmdGjR6NUKjE3N6dLly6sWLGixAKhJldDjy09yMnNebaEepCUmYS2iRafMT507twZe3v7YrVYCps2cOrUKRQKBRkZGbi4uODn50doaCh16tQpsaH5165dw8/PDz8/PyIjI+nVqxezZs2iffv2GBoalsg9ygoZ+CRJemaJiYm6fruYmBg8PT0JCAigQYMGBYJHYGAgHTp04M6dO3Tu3JmFCxfyxRdflEg5Ai4HkJ2b/WyJcgEloAdZ5bNo1a0V5WzKFXppcaYNdO/enYMHD3L79m02btyo2xC2JIJeeHg4vr6++Pn5cefOHfr27cvChQtp27btC5/rVprJJydJUrFkZmYSGBiIj48Pv/32G926dWPu3Ll06NChWF/CFStWpHPnzrrV+bOyspg5cybbt28nKyuLPn36sHz5ckxMTAgODmbIkCF88MEHfPnllyiVSlauXImhoSGTJ08mMTGRadOm4W/v/886kjnADvJ2EbAFegMP12FeDjQFwoB7wAzgBGT+mckbX7xBdafqjBkzBnt7e0JCQggKCuLKlSsolUpycnIwNTXlvffeY+PGjdSpU4e4uDiGDRtGQEAALVq04I033tDVs02bNgC615mHDh3SrUryNEIIwsLC8PPzw9fXl7S0NPr27ct3332Hq6vrC+kfLYvkkmWSJBXpYb/d+++/j4ODA6tWrcLd3Z2YmBg2bdpEly5dit3yuHXrFkFBQdSoUQN4+n5rd+7cITMzU3d81KhRbNy4kXPnznHs2DHmzp3L+Yjz/9wgAqgDfALUA7aS17p76DwwGJhOXovPFhgOOVNyuH79OlOmTGHr1q1YW1vToUMHhBB88803ZGZmsmjRIrZu3UrDhg0xMjLC09OTJk2akJiYyKxZs9iwYYPuNr/99hsAycnJqNXqpwY9IQR//PEH06dPp1atWvTp04eMjAzWrVtHVFQU33zzDa1bt5ZBrwTJUZ2SJBVw5coVXb+dqakpXl5eeHp65ts6pjicnZ1JTExEoVCgVqtp3749fn5+WFlZYW5uTlhYGNWrVwfg5MmTeHp6EhkZSXBwMG5ubqjVapRKJWlpaVhaWnLq1CmaN28OQO36tYlpEEN6jXT4FbgGjPr7xlrgK6Af4ERei68t0LhgGRUoSP4wmTat2/D555/Tq1cv1q9fz/z583W7gaenp2NmZsbt27fJzs6mWrVqpKSk6EZNenp6oqenp3vV6eLigkajKfKPAq1Wy6lTp/D19cXf3x8jIyM8PDxwd3enUaNGr83oyNeVfNUpSRIA9+7dY+vWrfj4+HDz5k0GDRqEn5/fv/4iDggIoEOHDhw9ehRPT08SExPJzs5+6n5rdnZ2ulaOiUneJm+P7rJgYGSAyH7k7/ZH56XrAZbAo7vp5J+3DiHASRApgqrLq6JWq0lMTNSdfny/OkB3jY2NTb6pAk5OTvm21SlMbm4ux44dw8/PD39/f2xtbXF3d2fPnj3UrVtXBruXSAY+SSrDsrKy2LNnDz4+PrpW1uzZs+nYsWOJD55o27Ytw4YNy+ub8/cv9n5rRdFX6CMe3TLg0W1ztORtk2NRROJkIBDwAr2qeiTNTqJRo0YU5wVYpUqVSEpK4sGDB7rgFx0drQtcjwawh9vk+Pr6EhAQgIODAx4eHvzyyy/5+gWll0v28UlSGSOE4Pfff2fMmDFUrlyZ77//nl69ehEdHc2WLVtwc3N7YSMGJ0+ezKFDhwgLCyv2fmtFMdY3RqPR/HPgNnCJvH69U+T141UpIvHDgaBmUNu+NuvXr+fChQvFuq+TkxP/+9//mD17NtnZ2Rw/fjzf/m+Wlpbo6ekxYMAAKlWqxKxZs6hRowYnT57kzz//ZMaMGTLovWKyxSdJZcS1a9d0/XZGRkaoVCr++uuvl7oeZbly5fDy8mLevHls2rSJuXPn0qJFCxITE3FwcGDs2LF07tz5qfmEhoZy4fwFzI3NUSvU5JILbwAXgQDyBq4MIC/4FaY84Ar8BNFG0Zwffp5WrVoVux6bN29m6NCh2Nra0rJlSzw9PQkPD2fIkCHs3bsXBwcHDhw4gFKp5Ouvv6ZFixbFzlt68eTgFkkqxe7fv8+2bdvw8fHh+vXrDBw4EC8vLxo3bvxa9illZGQwd+5cfvrpJxYsWIC5izmDjw5Gq9Q+V37mhuYkfJSAsf6zr3aiVqvZt28fvr6+HDx4kCZNmuDh4UHv3r1fyg4D0vOTgU+SSpmsrCz27duHj48PR44cwc3NDZVKRadOnTAwMHjVxXtua9euZcKECSiVyrzdAR7krctZZ34dbnCDzJzMZ8rP1MCUWW1mMf3t6cVOk5KSQmBgIH5+fvzyyy+4urri7u5Or1698m3vI/23ycAnSaWAEIJTp07h7e3Njh07eOutt1CpVHh4eGBl9fhwxtdLUlIS06ZNIygoiISEBHJy8pYnUygUjB49mmXfLqPF2hZcvXeVzNziBT9TA1Pc33RnQ+8NT2353rt3T7e9z/Hjx3nnnXdwd3enR48ez7W9j/TqycAnSa+x69evs3HjRjZu3IhSqUSlUjF48GCcnZ1fddH+NSEEvr6+TJo0Sbdpap8+fXQ7KTg5OXHlyhUMDQ1RZ6vpuaUnZ+POos5WF5mnUqHESN+I9xu/z7LOy9BTFD6+7+7du7rtfc6cOUPHjh112/tYWBQ1VFR6XcjAJ0mvmaSkJLZv346Pjw9Xrlxh4MCBqFQq/ve//72W/XaFuXXrFuPGjeP69eusWLGCZcuWsW/fPlq3bs2tW7eIjo7ml19+oXXr1ro0WqHll8hfWPL7Eo5FH0NfTx9NrgY9hV7ev7Ua+tftz4ctPqRBxQYF7hkbG6vb3ickJISuXbvi7u5Oly5dXvj2PtLLJQOfJL0GsrOzCQoKwsfHh0OHDtG5c2dUKhVdunR5rfvtHqfValm5ciVz5sxh4sSJ2Nra8tFHH2FmZsaWLVvo2LEjf/31F0FBQcyYMaPIfGJSYgi+GUxSZhL6evrYm9rTuXrnAruvR0VF6dbFjIiIoHv37nh4eNCxY8eXur2P9HLJwCdJ/1FCCE6fPo2Pjw/bt2/nzTffxMvLCw8Pj3+9n9t/0aVLlxg1ahQKhYLPPvuMSZMmce3aNSZMmMDy5cufa5PWwly9elW3vc/Nmzfp3bs37u7ucnufMkTO45Ok/5jIyEg2btyIj48PAF5eXpw5cwYXF5dXXLIXIysri4ULF/L9998ze/Zszp07R7du3ahXrx6RkZElMs/w0qVLuu194uPj6du3L4sXL6ZNmzZye58ySLb4JOk/IDk5mR07duDj40N4eDgDBgxApVLRrFmzUtNvV5jff/+dUaNGUatWLbp3787UqVPJzc1l9erVDB48+LnzFUIQGhqqe42pVqtxd3fHw8ODli1byp0OyjgZ+CTpFdFoNOzfvx9vb28OHjxIx44dUalUuLm5lfpXbqmpqUyfPp1du3Yxd+5cfvzxR86ePUv//v3x9vZ+rvo/3N7nYctOq9Xqdjxo2rRpib0qlV5/MvBJ0kskhODs2bP4+Piwbds23njjDVQqFf369Sszc8J2797N+PHjcXNzw8LCgm+++QZHR0d27dpF/fr1nykvrVbLyZMndX12JiYmumDXsGHDUt1alp6ffLktSS9BVFSUrt8uNzcXlUrFqVOnqFat2qsu2ktz+/ZtPvjgA0JDQ/n4449ZsGAB9+7dY+HChXz00UfFzicnJyff9j729va4u7uzb98+6tSpI4Od9FQy8EnSC5KSkoKvry/e3t5cvHiR/v37s379epo3b16mvpyFEPz000/MmDGDoUOHkpKSwqRJk2jXrh07d+7E0tLyqXloNBp+/fVX3fY+jo6OeHh4EBwcTK1atV5CLaTSRL7qlKQSpNFoOHDgAD4+Phw4cID27dvj5eVF165dS32/XWGuXr3K+++/T3p6Ou+++y5fffUVFhYWbNu2jfbt2z8xbVZWFocOHcLPz4/du3dTq1Yt3N3dcXd3L7UjXKWXQwY+SfqXhBCcO3cOHx8ftm7dSo0aNVCpVPTv3x9bW9tXXbxXQqPR8OWXX7Js2TLef/99tm/fzs2bN5k0aRJLly4tcqBJeno6+/fvx8/Pj3379lG/fn3c3d3p27cvVaoUtbmeJD0bGfgk6TlFR0ezadMmvL29yc7ORqVSMWTIEGrUqPGqi/ZKnTlzhlGjRlGpUiXMzMzYuXMnDRs2JDAwsNDd1tPS0vJt79O0aVPd9j4VK1Z8BTWQSjsZ+KTSQwj4ewFjLCzgBfSjpaam4ufnh7e3N2FhYfTv3x+VSkXLli3LVL9dYdRqNbNmzWLLli0MGDCAn3/+Ga1Wy9q1axk4cGC+a5OTk/Nt79OqVSs8PDzo1asX9vb2r6gGUlkhA5/0etNq4cgRWLIEfv0VHr5C02qhXTv4+GN4991/jj+HnJwcDh48iI+PD0FBQbRr1w6VSkW3bt0wMjIqoYq83vbv38+YMWNo2rQpV69eJSwsjEGDBrFhwwbdyigPt/fx9fXl999/55133sHDw4MePXqUyiXYpP8uGfik19fBgzB8OKSmgrqIrWjMzcHSEn7+GTp1KnbWQgj++usvfHx82LJlCy4uLqhUKgYMGICdnV0JVeD1l5CQwJQpU/j9999p1qwZfn5+ODk5sWvXLt566y3u3r3Lzp078fPz48yZM3Tq1AkPDw+6du0qt/eRXhkZ+KTX04YNMHYsZGQU73oTE1i5EoYOfeJlMTExbNq0CR8fHzIyMhgyZAgqlYqaNWuWQKFLDyEEGzduZNq0abRr145ffvmFlJQUFi1aRL9+/XTb+4SFheXb3sfU1PRVF12SZOArS9zc3Bg4cCBDn/Ll/58XFATu7sUPeg+ZmICfH7i55TuclpaGn58fPj4+hISE4OHhgUqlolWrVv/pfrtjx44xcuRIIiIiXup9IyMjGT16NHfu3MHU1JQzZ87w9ttv07lzZ/bs2cOVK1fo0aMHHh4edOjQQW7vI/33CKlUcXJyEsbGxsLMzEyUL19eDBs2TKSlpb3qYuVz48YNoVAoxNixY589sUYjhJ2dEHlDWZ79x9ZWCI1GaDQaERQUJDw9PYVSqRQNGjQQO3bsEBkZGc9cpLZt2wojIyNhZmYm7OzsRJ8+fURcXNyz1+0/TqPRiGXLlgk7OzvRvXt3YWBgIMzMzEStWrVEuXLlxKhRo8T+/ftFVlbWqy6qJD2RXLW1FAoMDEStVvPnn39y9uxZ5s+f/6/yy8nJKdax4vL29sbGxoatW7eSlZX1bIn37IHs7Oe+d25mJj+7u+Po6Mjs2bNxdXWlefPmTJgwAQ8Pj+dunaxYsQK1Ws21a9dQq9VMmzbtuctYEv7N76cwISEhtGjRgvXr16PRaNizZw+GhoZ4eXmxatUq4uLi+PHHH+ncuXOZnKgvvV5k4CvFHBwccHNz48KFCwC88847rF27Vnd+3bp1vPnmm9jY2NC5c2eioqJ05xQKBd9//z01a9bU9W8Vduzy5ct07NgRW1tb3njjDbZv3/7Ucnl7ezN//nwMDAwIDAzUHb958yYKhSLfl/ajZc7NzWXq2LHYp6XhAqwAFMDDq52Bw4/cZw4w5O9/Z/797/Lp6UwODMTe3p7du3cTFxfHqVOnmDBhAubm5kyYMOG56wVgbW1N7969CQkJ0R3TarUsWrSI6tWrY2dnR//+/bl//36+Om/YsIGqVatib2/PF198oUublZXF5MmTqVy5MpUrV2by5Mm6PxaCg4PzTep2dnZm8eLF1K9fHzMzsxIJfunp6QwfPhxXV1cuXrzI+fPnMTY2ZteuXaSmpvLDDz/Qrl07uaed9Hp51U1OqWQ5OTmJQ4cOCSGEiI6OFnXq1BGfffaZECLvldyaNWuEEELs3LlTVK9eXVy6dEloNBoxb9480bJlS10+gOjQoYO4d++eSE9PL/SYWq0WVapUEevWrRMajUacO3dO2NnZiQsXLhRZvt9++00YGhqK+/fviwkTJogePXrozkVGRgpAaDQa3bFHy7xy+XLxJogYEPdBvAt51//9GtMJxKFHXmvOBjH473+vAtEdxAMQOfr64o+jR0VKSkqBewghnrlej6ZPTEwU7777rujZs6fu/PLly0Xz5s1FTEyMyMzMFO+//74YOHBgvjqPHDlSpKeni5CQEGFoaCguXbokhBBi1qxZonnz5uLu3bsiPj5etGzZUvf7/PXXX4WDg0O+332DBg1EdHS07nf2PLRarTh9+rTo37+/0NfXF0ZGRkJfX1+YmJiI7du3P3e+kvRfIQNfKePk5CTMzMyElZWVqFq1qhg7dqzuS/DRL+guXbqItWvX6tLl5uYKExMTcfPmTSFEXpA7cuRIvrwfP7Z161bx9ttv57vm/fffF3PmzCmyfO+9957o1auXEEKIEydOCH19fXH37l0hxNMDX7uWLcUqQ0NdYDv0DIHvJxAtQYSCEGZmQkRGFnqP56lX27ZthYmJibC0tBSAaNCggYiKitKdr127tjh8+LDuc1xcnNDX1xcajUZX55iYGN35pk2bii1btgghhKhWrZrYu3ev7tz+/fuFk5OTEKLwwPfTTz8V+eyfJDc3Vxw7dkxMnjxZVK5cWVhZWQlzc3Ph4OAgFAqFUKlU+X4vkvQ6k686S6GAgACSk5OJiorihx9+wMTEpMA1UVFRTJo0CWtra6ytrbG1tUUIQWxsrO4aR0fHAukePRYVFcXp06d1eVhbW7Np0ybu3LlDdHQ05ubmuh+AjIwMduzYodtZu2XLllStWpXNmzcXq15xd+/i+MhE9IKlK5oK6AwMBCqnp/PxggVoNJpCr31SvYry7bffkpKSQlhYGElJSdy6dStffn369NHl9eabb6JUKrl7967umkeX5jI1NUX997zEuLg4nJycdOecnJyIi4srshyF/c6KkpOTwy+//ML48eNxcHBg3LhxxMbGkp2djYuLC+np6ZiYmHDx4kW8vb3l60yp1JCBr4xydHRk9erVJCcn634yMjJwdXXVXVPYUP5Hjzk6OtK2bdt8eajValauXEnVqlVRq9W6H4CdO3eSmprKuHHjqFixIhUrViQ2NhZvb28AzMzMgLx+pYceDTaVKlfm1iPBKuaxspkB6Y98fjRMGQCzgUvACX199hw9qrvv4/V8Ur2epl69enz22WeMHz8e8fdMIUdHR4KCgvLll5mZWei6lY+rXLlyvr7X6OhoKleuXOT1T5t+8XD3iFGjRlG5cmU+/vhjHB0d2bZtG05OTpw5cwaNRkN4eDhff/01V69e5c0333xqOSXpdSIDXxk1ZswYFi5cyMWLF4G8veN27NjxTHl0796dK1eu4OPjg0ajQaPRcPbsWcLDwwu9fsOGDYwYMYLz588TEhJCSEgIv//+OyEhIZw/f55y5crh4ODAxo0bycrKol+/fly9epXz589z/vx5unTvznKFglggGVj8WP4Nga2ABvgD8H3k3K/AeSAXsHRywsDYGKVSCUCFChW4cePGc9frcUOHDiU+Pp7du3cDec965syZugCWkJDArl27ipXXoEGDmD9/PgkJCSQmJjJ37lyGDBny9ISPyMzMJDAwkGHDhlGxYkU+//xzateuzZkzZzh9+jTm5ub07duXS5cuER0djaurK/fu3WPixInPdB9Jem286netUsl6dHDL4x7vy/L29hZvvfWWsLCwEFWqVBHDhw/XnQPE1atX86Uv7Njly5dF165dhb29vbC1tRXt2rUTf/31V4F737p1SyiVShEWFlbgnJubm5g6daoQQoh9+/YJZ2dnYWVlJfT19YVCoRAGBgZCoVAIQDQ1MxO2IJxBfAVCH4T273686yCagTAD0RXExEf6+DaDqAXCFER5S0sxceJEXZ/ViRMnRM2aNYW1tbWYOHHiM9WrsOcqhBCLFi0STZo0EULk9Z8tW7ZM1KpVS5ibm4tq1aqJTz/9VAjx9H7NjIwMMXHiRFGxYkVRsWJFMXHiRN1cw8L6+B7+7h88eCB8fX3FoEGDhJWVlWjbtq349ttv8/UlXrhwQbRo0UI4OzsLfX19UaFCBXHs2LFC6yhJpYlcuUX6T/rzzz/p0aOHrj9LT0+PHj16sHPTJhQVK4JaTRAwBoh6Yk6PMTeHu3ehFC6dlZaWxt69e/H19eXQoUM0a9ZMt71PhQoVdNdlZWXxxRdf8N1336FUKklOTubjjz9mwYIFr7D0kvTyyN5q6T8jMTGR2bNns23bNu7fv0+VKlUwNDREqVTSp08f1qxZQ1BwMG9NmkT2F1/wOdDnWW5gapq3i0MpCnpJSUm67X1+/fVXWrdujbu7O6tXry50Me3jx48zcuRI1Go1KSkpNG3alN27d+cLjJJU6r3qJqdUtuXm5opvv/1W1KpVSygUCmFnZycmTJggEhIShFarFVWrVhVdunQRhw8fFlOnThVKpVIAwkqpFMOUSpFS3KXKTE2FmD79VVe3RCQkJIg1a9aILl26CAsLC9GrVy/h4+MjkpKSikyTnJwsxowZI2xsbISRkZGwtLQU/v7+L7HUkvTfIQOf9Er8+uuvom3btroJ0l27dhXnzp0rcF1ISIgwMDDQBbyHPwEBAUJ8950QJiZ5Qe1JAc/EJO/a19jt27fFDz/8INq3by+srKxEv379xLZt24q1DuvOnTtFpUqVhK2trVAoFGL48OFyTp5UpsnAJ700UVFRwsvLS1haWgqFQiHq168vfHx8RG5ubpFptFqtcHJyyhf0LCwshFarzbsgOVnc/ewzoa1SJS/IWVkJYWUlcoyNRZy+vhDffitEcvJLqmHJio6OFl9//bVo3bq1sLa2FoMHDxb+/v7iwYMHxUofGxsr+vTpI6ytrYVCoRC1atUSERERL7jUkvTfJ/v4pBcqOzubpUuXsmbNGqKioqhUqRLjxo1j5syZuontT/LgwYMCx8aMGaObr3bg1Cm6zJ/Pju3b8WjcGP5eA1NYWlK5dm0+vHmTcitX8t5771GuXLmSrdwLEBkZiZ+fH76+vly9epWePXvyySef0KFDh2Lv9q7Valm7di0ff/wx2dnZaLVavv/+e8aOHfuCSy9Jr4lXHXml0ikgIEA0bdpU6OnpCVNTU+Hh4SEuX778THncuHFDWFlZCRMTE9GgQQNhaGgoABEeHi6EECIwMFAYGRkJQKxfv16X7tSpU6J169a6FqKenp4ICQkp0fqVpMuXL4svvvhCNGrUSJQvX168//774sCBAyI7O/u58nJ1dRUWFhZCoVCI7t27F7uFKEllhWzxSSUmIiKCmTNnEhQURGZmJk2bNmXnzp307NnzmfP67bff6NixI2ZmZjRr1ow9e/aQlZWFn58ftWvXZvv27QwbNky3U8GjE9Dv37/P8ePHdZ+1Wm2xW0svgxCCixcv4uvri5+fH/fu3cPd3Z2vvvqK1q1b6ybWP4uHLesFCxaQlZVF+fLlOXjwIC1aRAgZiQAAIABJREFUtHgBNZCk19yrjrzS6y0tLU18/PHHomLFigIQzs7OYsGCBf9qM9K1a9cKPT094eDw/+ydeXhMZ/vHv2cm22Qm+75vSESInRCJfQlVaUltSShRoSWKUqpKvUXrRa1Vey0tqsS+9S0/Ra2171tksSWRyJ7JzPf3R+Q0IwmJLcr5XNe5rsw5zzzPfc4w33nu537u24kdOnQotdJAlSpVqFAoxFldWFiYzvVWrVrprAs6Ozs/cS3xZaPVann8+HGOGTOG1apVo6urK4cNG8YDBw48t11//fUXq1SpQiMjI8rlco4bN+4FWS0h8WYiCZ9EhdFoNFy2bBlr1qxJQRBoZmbGPn366GQFeVZGjhxJQRDo5eXF0NBQ5ubmltpOrVZz3LhxtLKyooGBAYOCgnSuN2vWTMz2YmlpydWrV/8TEPOK0Gg0PHToEEeMGEEPDw96eXlx1KhRPHLkyAuxJSMjgx9//DGNjIwoCAIbN27Me/fuvQDLJSTebCRXp0S5OXbsGMaNG4f//e9/0Gq1CAwMxB9//IHg4ODn7lur1SI0NBRbtmyBt7c36tWrh2XLlpVZEUBPTw8XLlzAN998g169eiE9PV3n+rfffgs9PT28++67eNfdHT309IBlywATE6BqVcDf/7ltLg2NRoODBw/i119/xW+//QYTExN07doVGzZsQK1atZ6aRLq8bN++HeHh4UhLS4OxsTHWrFnzTC5lCYm3kspWXonXm/v37zM6OlrcA+bt7c25c+e+ULdhTk4O/fz8aGBgwBo1arB///4sKCh44nvS0tJoamrKlJSU0htkZZFLljDDyYnZMhlpYlJYh8/EpHDbQ/Xq5LJl5HMUbC1CrVZzz549jI6Opr29Pf39/Tlx4kSeO3fuuft+nLt377Jz585i/tKoqKhKdeFKSPwbkYRPogRqtZozZ85k1apVKQgCra2t+cknn5QtMs/B7du3aWtrS3Nzc9aoUYNDhw4tlxtwyZIl7NKlS+kXT5wgraxIlerJ2VxUKtLamnyGiM+8vDxu376d/fr1o7W1NevXr88pU6aUSOL9otBqtVyyZAkVCoX4A+Tq1asvZSwJiTcdSfgkRPbs2cOgoCAxm0rHjh154sSJlzbe8ePHqVAo6OnpSR8fH44ZM6bca1+tWrXiunXrSl44fLhwZlfeVGZFAnj06FPHzMnJYWxsLMPDw2lhYcEmTZpw+vTpYtX6l8W1a9dYp04dyuVyGhgYcMGCBS91PAmJNx1J+N5y4uLiGB4eLmZT8ff358qVK1+6++zXX3+lXC5ns2bN6OrqWqI0z5NISEighYWFWJ6n2IXCzC0VEb2iw9ycTEwsMVZmZibXrVvH7t2708zMjM2bN+fs2bOZkJDwIh7DE1Gr1ZwwYQL19PQIgO+8807Je5aQkKgwkvC9heTk5HDixImi4Dg6OnLMmDHlyvtYXtzc3GhkZESlUikegwcPJkl+8803FASBvXv3ppubG8eNG1ch4Zs2bZpO7UCRmBhSX/+pIhcM0BCgCqAJwLoAJ8vlzI2JIUmmp6dz9erVfO+992hqaso2bdpwwYIFvHv37gt7Pk/jxIkTdHBwoCAItLOz45EjR17Z2BISbzqS8L1FrF+/nvXr16dMJqNSqWS3bt14+fLllzJWWQVxIyIiKJPJOHbsWDo5OXHBggWlFmN9EnXq1OGePXt0T+bklLqmV1CG8C189HcmwD8A+gNsLpOxS4cONDExYceOHblkyRImJye/iMdRbrKyssRnJJPJ+NVXX73S8SUk3gYk4XvDOX/+PENDQ6lQKCiTydi4cWNu3rz5pY/7uPCp1WoGBARQT0+Ps2bNorGxMVUqFT08PDhnzhwd4bt+/TqbNWtGlUrFVq1acdCgQezVq5d4P0ZGRrSzs6OpqSmbNWvGs2fPkj/9RKpUjAQ4EGCHR9XWdz9F+IqOOIAKgFNDQpiWlkaNRsPJkyfT09OTlpaW7Natm05wz/Lly+nq6kpLS0tOnDhR534PHz7Mxo0b08zMjPb29hw8eLC4oV+r1TImJoY2NjY0NTVlzZo1eebMGZKF1eeVSiUBsGHDhq9cdCUk3hYk4XsDSU9P54gRI3SyqUyZMuW5sqlUlOJC8ODBA7q6ulKlUvHnn3+miYkJHR0deevWLaakpLB58+Y6wte4cWMOHz6ceXl53L9/P01MTEThGzt2LNu2bcuHDx8yNzeXQ4cOpb+/P9m3LwkwEqApwD8BagDmlFP4CLAZwM9q1SJJzpgxg40aNWJ8fDxzc3M5YMAAdu/enSR57tw5KpVK7t+/n3l5eRw+fDj19PTE+z127BgPHTpEtVrNGzdu0MfHhzNmzCBJ7tixg3Xr1uWDBw+o1Wp5/vx5nj17lk2aNCEAKpVKbt269ZV9ThISbyOS8L0haDQaLlmyhH5+fmI2lb59+76SIIzScHNzo1KppImJCQFQEAQOHjyYNjY2rFWrFufPny+23blzpyh8cXFxlMvlOomVe/XqxV69elGr1dLDw0Mn0vTBgwcEwLR27UThCy/HGl9pwvcBwP5ubiRJHx8fHXdqUlIS9fT0xICTIhEkC92T+vr6pbp2yUIRLdp68fvvv7Nq1ao8dOgQCwoKOHPmTDF4pV+/ftKePAmJV4CsMjbNS7w4jh49ivbt20OhUGDAgAGwsbHBvn37kJaWhiVLlsDJyanSbPvyyy+Rm5uLRo0aYdOmTVi7di1++eUX5OXlwcXFRWzn5uYm/p2UlARLS0sYGxuL54raHjp0CIaGhvjll1/g5eUFU1NTuLu7F75Po/mn/TPamwjA8tG4cXFxCA0Nhbm5OczNzVG9enXI5XLcvXsXSUlJcHFxwY0bwO7dwI4dxjAxscLt24X9XL58GZ06dYK9vT1MTU0xZswYJCcn4/r160hKSsLHH3+MqKgoGBgYICYmBk5OTrh+/ToWLVoEmUz6Lykh8bKR/pf9C7l37x6io6NhZWWFRo0aIS4uDjNnzkReXh7+97//oVmzZpVtIjIyMjB69GiEhYVh1KhR+PDDD7Fx40a0bNkSDg4OiI+PF9veunVL/NvBwQGpqanIzs4WzxW1XblyJWrUqIH169dj9OjRGD58OAIDAwuv7d2LgkftnyUpWDyA4wCa1aiBlJQUuLi4YPv27UhLSxOP3Nxc2Nk5IT3dAUuWJMDXF+jWDejTJwepqSno3x9o1Ajo2jUa1ar54MqVK3j48CG++eYbkERYWBgiIyOxf/9+nDt3DoIgoFq1aggPD4eHh8czWC0hIfFMVPaUU6J8qNVqzpgxg1WqVKEgCLSxseGQIUNeSjaV5yUmJoYA2KdPH65atYp2dnY8fvy4eH3evHmsXr064+PjmZqaypYtW+qs8TVq1IgjR45kRkYGf/rpJyoUCnp7e1NfX59GRkbU09Nj69atOXz4cLZp04YAeHHTJmoVCkYCHFsBV2cWwL0A6wAMFgSqT5+mm5sb/f39GRwcLG5Ov3fvHufN20gXF9LY+CwBFYEDBPIIjCSgR2A3AVIma0ATkwk8f17LCxcusFq1aqxSpYpYOxAAW7ZsyeTkZLZr147jx4+vjI9JQuKtRRK+15w9e/YwMDCQcrlczKby999/V7ZZpaLRaNi+fXvK5XLa2NiI+SQVCgWVSqW4zqVWqxkTE0NLS0u6u7uLUZ179uzhzJkz+f7774vRjcbGxvTy8mLVqlXp6+vLa9eusWPHjjQ0NKSlpSX79OkjCsk5Q8NyC1/RPj4VwNoAJwE8KJPR0NBQrOqgVCqpr69PY2NjOjt70tDwcwpCUTdLCbgQsCQwkYAjgf97dG0fAW8CStapE8ihQ4eKgodH652Ghoa0srJiz549X+j+SQkJiacjCd9ryM2bN9mrVy+xinbt2rW5evXq1zrwISsriz4+PjQyMuKRI0f4/fff08XFhZcuXdJpp9VqefPmTW7cuJFfffUVu3TpQnd3dyqVSgYEBDA6OppBQUEcMGCAGOASFhbGGjVqcO7cuSQL83sWpe+Sy+WioMQ4OjJLJnu2zC1KJbOWL9fpDwD19PR48WIKbWxYTPQePzIIyAlcL3FNpcqlIDgQKKwEL5fLaWFhwUGDBr3yz6g0/vjjDzo5OVW2GRISrxRJ+F4TcnJy+NVXX9HFxYUA6OTkxLFjx+pEN76uxMfH08rKitbW1kxMTBT3v126dIknT57ksmXLGBMTw+bNm1NPT48qlYodOnTg559/zjVr1vDSpUv87bffaGdnR7VazSNHjvDq1avUaDTcvn07DQ0NqVQqef/+fZKFCaK9vb1FcZLJZDQxMeF3335LzfvvkwpFxURPoSDDwnji+HEd0Ss62rU7QkND7WNv20Qgi0AmgY8I1CbweBsSyKGn51oeOXKEaWlpz1SHLykpif3796eDgwOVSiU9PDwYGRnJCxcuPPdnJwmfxNuIJHyVzK+//sp69eqJ2VQ++OCDf1XW/cOHD9PIyIje3t7cuXMn27ZtSzMzM/r6+lKhULB69ers0aMHp06dyp07d3L+/Pl0d3cvIQDvv/8+P/30U5Lkpk2b6OzsTIVCwapVq7J///7s2LEj8/LyGB0dTQMDAyqVSsrlcgqCQGdnZ167dq2wo7w8slOnwtJD5RE9Y2Py3XfJvDwmJydzwYIFHDlypDjb++ijj6mn97CUt/YjYEbAlEBLAhfLHMLUtNCsZyE5OZnu7u7s2bMnr169Sq1WywcPHnDJkiWcNWvW83x0JCXhk3g7kYSvEjh79iy7dOlChUJBuVzOgICAf82m5eKuyq5duxIAFQoFFQoFHRwcaGVlxe+++46HDx8udbaanZ1NU1NT7tu3TzyXmppKQ0NDnnxUHigyMpJjx44lWfjFbGhoyCpVqojrY126dGFMTAyNjIzo6OjIoUOH0tXVlaampmzatCmzMzPJb77hIRMTBshkNANYC4WpycR1PrmcXxgZsYmbG1UqFdu0aSPOKItm3YXBNEoaGx98TMwSCRgRSCl27gQBKwL5BK4SaPFo/c+Keno9uWjRA/F+3dzc+N1337FmzZo0NTVlWFhYmcmnx44dy1q1aj3VzR0bG0tfX1+amZkxODiY58+fF68dP36ctWvXpkqlYteuXRkWFqbzfJ2cnDht2jTa2NjQ3t6eS5YsKc8/BQmJfy2S8L0i0tPTOXz4cNrZ2REAPT09OXXq1FeaTaWi5OXllXBVmpub08HBQRSijh078sKFCxwwYAAbNmzI1NTUp/bbv39/9uvXT3z9ww8/FGZfeUSR8OXk5LBVq1YEQAMDA06ePJlfffUVBUFgt27dGB8fzwEDBjA4OJgJCQksKCjggQMHmJuby4SEBFpaWnLrmDHUBARwl7k5LQHes7YmmzZlcI0aojs2OzubwcHBHDVqFEnq5A4dOLCsyWILAj8Wez3ikcuTBK4Q2EUgl8A9As3o6ztUvD83Nzc2aNCAiYmJTElJoY+Pj86G/uI0atToqVGfly5dorGxMXft2sX8/HxOnTqVXl5ezMvLY15eHl1dXTlz5kzm5+dz/fr11NfX1xE+uVzOcePGMT8/n1u3bqVCoSjX5ygh8W9FEr6XiEaj4aJFi1ijRg0KgkBzc3P269ePiaWUv6lsHjx4wL1793LmzJns06cPa9euTSMjoxKuyjt37vCDDz6gTCbjggULqFarGR4ezqCgIKanp5drrP3799PU1JTZj6qfF9W1K6JXr16sVasW9fT0xMjQhIQE9uzZk+7u7jQzM+OhQ4eo0WhoZGQkzhSLM2XKFPbu3VvnXNu2bbls2TKSZHBwML/++mvx2ty5c9muXTuSusL33ntlCd/CR+LHR2t7ziyM5iyt7QaamtYWx3Jzc+OKFSvE1yNHjuRHH31U6rPy8vLSEcXY2FiamZmJs1SSnDhxIrt16ya20Wg0dHR05B9//MF9+/bR0dFRx7XctGlTHeEzMjLSSRBuY2PDQ4cOlWqPhMSbgN7L3SX4dnL48GF8+eWX2Lt3L0giKCgICxYsQNOmTSvbNJDErVu3cPLkSZ3j/v37qFWrFmrXro2AgABER0fDz89PJ4NKQUEBAgICcOrUKezevRuBgYHo3r07MjIysH37dp22TyIwMBA2NjaIjY1Fw4YNcfToUfz222/Izs7GoEGDsHr1ahgYGGDatGmYP38+EhMTUbduXYSHh+Ps2bOoUaMGMjMzkZycjNzcXHh5eZUYIy4uDuvWrcPmzZvFc2q1Gi1atBBf29vbgyQyMjKQnp6OxMRErFy5EmfPngUAdO/eHf/3fx8BaFPKXXQF8AmAJABXULhtvihxwD0AQwDsB5ABQAu12kLn3fb29uLfxsbGSEpKKvVZWVlZ4XZRShgAnTt3RlpaGhYtWoSVK1cCKMx2Uzz7jUwmg4uLCxITEyGXy+Hk5ARB+Gdbf/GsOUVj6On981VgbGyMzMzMUu2RkHgTkITvBXHv3j2MGzcO69atQ1paGnx8fDBr1ixERUVVWhqq/Px8XLhwoYTIKRQK1K5dG7Vr10aPHj0wdepUeHl5QS6Xl9lXamoqatWqhYyMDJw/fx5OTk4IDQ2Fvr4+Nm3aBENDwwrZFhERgZ9++gmXLl1Cy5YtMXLkSPz8888wMTFBgwYN0KZNG/j5+eHatWsQBAF79+5FvXr1dPqwtraGkZERrl27Bn9/f51rLi4u6NGjB8aOHYukpCSdo2fPnjh58iQuXLiAmJgYAIBKpUJOTg62b98OpVIJAAgNDYWBgTfWrCG02sfzwZgDaAtgLYALAHrgn5wxnz/6+zQAKwjCRsjlH1fo+RTRqlUrbNy4EePHjy/z35GjoyPOnDkjviaJ+Ph4UfASExNBUhS/+Pj4Un8sSEi8LUjC9xwUFBRg1qxZmDdvHq5duwYbGxtERkZi/PjxMDc3f6W2pKWl4dSpUzoCd/HiRbi7u6NOnTqoXbs2OnToAH9/f9jZ2VWo73PnzqFx48awsrJCfHw8ZDIZOnXqBFtbW/z000/Q19evsL0RERGYNGkS9u7di7y8PJibm2PWrFmIjo5GREQEDh06hOnTp8PHxwcPHjzQET2SuH37Ng4dOoSgoCB069YNrVu3Rnp6Oi5duoSMjAzcvn0bGRkZ2LFjB7y8vMQZlre3Nzp27Ijz58+ja9euGDp0KExMTLBs2TIsWrQIq1atQnZ2NhYvXowGDRrA19cZ69drkZ9f2o+CngCmArgF4Pdi5zMAmKFQHBMhCN+hnJPhEnz66adYuXIlwsPDMXHiRHh6eiIzMxMnT54U24SFhWHKlCn4/fffERQUhO+//x6GhoZo0qQJAEAul2POnDmIjo7G1q1bceTIETRv3vzZDJKQeBOoTD/rv5Vdu3axadOmlMvlNDIyYufOnXnq1KlXMnZ5NoAvWLCgzKjKirJ161bq6ekxMDCQGo2GaWlpbNKkCfv27cuCgoJn6jM9PZ3du3cXozTnzJlDkmJwhampKW1sbGhpacl27drR2NiYbdu2pZ+fHy0tLQmAtra2bNy4Md999136+/vT1NSUCoWCfn5+PHbsGFNTU3no0CEGBQXRwsKC1tbWDAkJYVxcHMnCNb6FCxeKNi1dupRNmzYVX48cOZJKpZIymYwGBmvKWLvLZmHqMt/Hzp8lUJeAkoA/bW2n6WwZeLxW4fjx48WyS6WRmJjIDz/8kPb29lQqlfT09GRERIRO5OZvv/3G6tWr09TUlEFBQYU1Ch9x9OhR+vv7U6lUsmvXrgwNDeXEiRNJlr6doawiwhISbwoCSVa2+P4buHnzJsaOHYtNmzYhKysLtWvXxqhRo/DBBx+8tDHL46osOp7mqnwWvv/+ewwbNgyRkZFYunQpUlJS0K5dOwQEBOD7778vtwtXo9Hg3r17uHTpEr744gscPHgQCoUC9erVg4mJCZKSkpCYmIiUlBQAhdUanJ2dcfr0aQwfPhxOTk5wdHQUD0tLy5fmPr548SLmzJmDVatWISgoCK1atcKqVVocORIFQFnh/pRKYO5cIDLyxdv6rDRq1AgDBw5E3759K9sUCYlKQRK+J5Cbm4spU6Zg8eLFSEhIgJOTEz788EOMHj263IEc5aU0V+WlS5fg7u6uI3DP4qp8FqKjo7FgwQJMmTIFn332Ge7cuYM2bdogJCQEU6ZMgSAI0Gq1SE5OLrGGVnTcvn0bSUlJuH//PmQyGfLy8mBgYIDGjRujRYsWopDFxcVh6tSpaNq0Kb7//nvY2tpiyJAhsLKywvjx41/6vWq1WuzYsQOzZs3CwYMHodFokJeXB5lMBrVaDUNDBSws9uPu3Rogjcrdr5EREBQEbNsGvODfJBVi37598Pb2hrW1NVatWoWBAwfi+vXrcHBwqDyjJCQqEUn4SmHdunWYOnUq/v77bxgbG+Odd97BpEmT4Onp+dx9sxxRlUXH41GVrwKtVos2bdpg3759mDZtGnx9fXHmzBlMnjwZXl5ecHR0FAXtzp07MDMz05mNFT+USiX++9//YufOnbC1tcW3336LiIgIcazk5GQMGzYM+/fvx/z589GhQwcAhWunTk5OOHDgAKpUqfLS7jU9PR3Lli3DnDlzYGpqiiFDhsDLywstW7aEWq0GULg+Vr9+fVhaOiIrax2OHZOjWMWkMjE2BurVA3bswDOv770ofvzxR4wbNw6ZmZnw8vLC5MmT0bFjx8o1SkKiEvl3BLfk5QEbNgB//QUkJxf6jzw9gV69AGfnFzLE2bNn8cUXX2Dnzp1Qq9Vo1KgRtmzZIn4ZPwtluSqNjY3F2Vt5oypfBHwUul/WDC0+Ph7Hjh1DQUEBTExMsHDhQpibm+P06dNo0KABQkNDdYTN3t6+1GjO5ORk9O/fH5s3b4atrS1WrFiBXr166dixcuVKjBgxAr169cLZs2ehUqnE63v27IG7u/tLE70id+bq1avRtm1bLF++HAEBARAEAbNnz0ZBQQEEQYCenh5MTU1Ru3ZtzJkzB4AcY8cWui4FASgt4l+lKlzlGzgQmDwZeIa4nxfOgAEDMGDAgMo2Q0LiteH1nvElJgLffw8sWPAoCX7GP9cMDQu/fYKDgVGjgGL7s8pLeno6Jk6ciJUrV+LevXvw9PTEoEGDMHToUJ19TeWhLFelh4dHCVelra1thW19GllZWWUKWnG3o0wmKzEzc3BwgL6+Pj7//HMYGRnh6NGjcHd3x8WLF9GmTRuMGTMG0dHRT7Xh3r176NevH7Zt2wY7OzvMmDGjxBrojRs3MHDgQNy5cweLFi1CgwYNSvQTHh6OBg0aYMiQIS/s+Wi1Wmzfvh2zZ8/G33//jQEDBmDgwIFihfrbt2+jXbt2OHfuHIYNGyb+m/j8888xadIknX1wOTnAmjXAtGlAXFzhayMjwNUVaN/+LPT112Pq1JfvopWQkHhGKimo5un8+Wdhdl8Dg/IlGh4xgiwl8/3q1at1iqBqNBouXLiQvr6+FASBFhYWjIqK4u3bt8tlVllRlSqVik2aNOGgQYP4448/8siRIy8kqjInJ4fXr1/nn3/+ybVr13LmzJn87LPP2Lt3b7Zs2ZI+Pj5iRKOXlxebNWvGDz74gMOGDeN3333HVatW8Y8//uClS5f48OHDUsf4888/aWhoSH9/fzGF2smTJ2lvby9mOnkSd+/eZUhICGUyGZ2cnLhmzZoSbdRqNadNm0YrKytOnjyZ+fn5pfaVmZlJMzMz3rlzpwJPqWzS0tLEAr5169bl8uXLS+TFnDJlCuVyOatUqSI+a0tLSw4fPrzC433yyScEwDFjxjxTJQYJCYmXT4WF72mh18+DGGL+11/lz65fXPw+/linv+XLl1Mmk7FNmzY8dOgQW7duTX19ferr67N169Y8ePDgE+0pK1elo6MjQ0JCOGbMGK5du5aXL1+ucK28vLw8xsXF8a+//uJvv/3GOXPmcMyYMezTp49O6L6BgQHd3NwYEBDA999/n5988gknT57M5cuXc/fu3Tx37hwfPHjwzF+yRc8oNDRUPHf48GHa2tqWKmDFuX37Ntu3by9WSPj1119LbXfixAnWq1ePLVu25JUrV57Y5+rVq8XUYc/DhQsXOHjwYFpYWPCDDz7ggQMHSjyjmzdvslq1apTL5Zw0aRLJwm0BNjY23LFjxzONO2TIEAKgoaEhw8PDdVKBSUhIvB48UfiUSiXt7e3Zvn177t+/n+QrEL6ZM0kzswqJ3o1HddPqCAK5ciVJcuPGjTQ0NCSK1VXz9fXlwoULSxWp0nJVKhQK+vr6smfPnvz222+5a9cu3r17t1TbixIrq9VqJiYm8ujRo4yNjeX8+fM5btw49uvXjx06dKC/v79YndzZ2ZkNGzZkly5dOGjQIE6aNIlLlizhjh07ePr0aSYnJ7/UWcPnn39OQRA4evRo8dy+fftoY2PDTZs2lfm+xMREtmvXjoIg0MXFhRs3biy1XVZWFkeOHEkbGxsuWbKkXPcSEhKik8eyImg0Gm7ZsoVt27alnZ0dv/jiCyYkJJTa9ssvv6RcLqevry/j4+NJkrNnz6ajo6OOh6CihIaGiv/e9PX1dX5QSEhIvB48cSHr7t27MDAwwI4dOxAbG4vAwMCX7XkFDhwAHkXUVZQsEmdGj8bKU6fw7Xff6VwLCgrCvn37yoyqTE5OFqMqmzRpgkGDBqFGjRpiVGXx0P1jx46VWEM7ePAg8vLy8O2338LKyqrEOlqjRo10XltbW7/0YJYn8d577yE2NhZLly5F5KNNZrt27UKvXr3w888/o3Xr1iXek5CQgL59++L333+Hq6srNm7ciM6dO5fa/549e/DRRx+hYcOGOHPmTLm2YNy/fx8HDhzAmjVrKnQv6enpWLp0KebMmQNzc3MMGTIEsbGxMDIqufXgypUraNu2LRISEvDtt9/i008/hVarxahRoxAbG4sDBw7A3d29QuMX5/bt2xAEASTh5OSELl26PHNfEhISL4mKKuXjM76uXbvSzs68/Q+aAAAgAElEQVSOpqambNasmU7GiKdlx9i1axe9vb1pamrKwYMHMygoiAuLzfYWA/QBaA6wLcCbT5nxfQ1wKMAO5uY0MzPTme0JgsDmzZvTxMSEBgYG1NPTo7W1NUeOHMnDhw/z5MmTbN26NVu0aMFq1apRX1+fFhYW9Pf3p4uLCw0MDGhhYUGVSkV9fX2amZnxvffe47x58xgdHU25XE59fX0qlUp26tTp2X6GvALy8vLo7+9PAwMDcRZPFmb9t7Gx0TlXRFxcHFu2bElBEOju7v7E2oHJycmMiIigq6trhWsMzpkzhz169Ch3++LuzO7du/PgwYNPnFUOHz6cMpmMderUEWfuubm57NmzJ5s0acLk5OQK2Vsaffr0Ye/evRkSEsJp06Y9d38SEhIvnucWvsWLF/Phw4fMzc3l0KFDdeqqPUn47t+/TxMTE65bt475+fmcPn065TIZFxoakgA3APQCeB6g+pGoBTxF+G4AdAaY1r69jugVHX379qWpqSlr1KjBxo0bi7Xxis45ODjQwMCAkZGRnDlzJps1a8bWrVszLi6OqampdHZ25pIlS6hWq3n8+HFaWVmJQl+8eOrryt27d2lvb08LCwvevHlTPP/LL7/Q1taWR44c0Wl/8+ZNNm/enIIg0MPDg9u2bSuzb61Wy1WrVtHOzo5Dhw5lRkZGhe0LCAjgli1bntimuDvT1taW48aNe2qZpzNnztDJyYkGBgb84YcfxPNpaWls2bIlQ0NDxRJJL4r/+7//o4+PjxTgIiHxGvJCg1sePHhAAExLSyP5ZOFbvnw5GzVqJF7TarV0MjfnQn19EmB7gIuKiZsGoKKMWV+R8KkBtgK4zcmpVOHr1q0bTUxM+PPPP3P//v28du0au3XrJhb6jIyM1CmQunXrVnp7e5MsFIfAwECd+x0wYAC/+uor8b2vs/CdOnWKxsbG9PLy0hGlpUuX0sHBQSfX6PXr1xkcHExBEOjl5cWdO3c+se8bN26wffv2rFmzJv/6669nsu/atWu0sbEpM9qzKDrTy8uL9erVKzU683E0Gg0HDRpEQRDYuHFjPnjwTxX0hIQE1qpVix9//PEz5xx9Elqtlj4+PqXOoCUkJCqX50p4qNFoMHr0aHh5ecHU1FRcG0lOTn7qe5OSknTqggmCABdTU0CjAQDEARiKwvz25gAsH6lX4lP6jQDwU2oqHB0dMWjQIJiYmIh7sDp16gRvb290794dgYGB8PT0hKenJxIT/+n18TppRXXJ4uLicPjwYZibm4vHqlWrcOfOnafea2UTGxuLunXronHjxrh8+bK4WXzevHkYN24c/ve//6FWrVq4du0agoKC4OXlhcTEROzevRtXr15F27ZtS+1Xo9FgxowZqF+/Ppo1a4bjx4+jUaNGz2Tj6tWr0a1btxKVHi5cuIDBgwfDw8MDhw8fxooVK3D06FFERESUuoZXxLFjx+Do6IjFixdj2bJlOHTokFgx49y5c2jSpAl69eqFWbNmvZS1VkEQ0L9/fyxcuPCF9y0hIfF8PFfmltWrVyM2NlbMtJGeng4LCwvw0Z54pVKJ7GL5nYqLhIODA+Lj48XXJBH/8CEgkwFaLVwAjAXwT76P8vE+gI9zc+Hj5ISaNWuiSpUq+PvvvwEAdnZ2iI+Ph1arFZMc37p1C9WqVXtqvy4uLggODsbu3btLvV58g/PrxHfffYdRo0ZhwIAB+OGHH3TOz58/H//3f/+HgoICBAYG4uDBg6hatSp+//13nYKtpXHq1Cn0798fKpUKBw8eLNczLAuSWLVqFZYsWQKgMJBo27ZtmD17Nk6dOoUBAwbg7NmzcHR0fGpfWq0W/fr1w/LlyxEUFIQtW7boZIXZt28fwsLCMH36dJ1sMi+DiIgIVK1aFWlpaa+8TJWEhMQTeNJ0MCsri/n5+dy2bRtHjhxJUtfVOXfuXPr7+zM9PZ2ZmZmMjo4mAHGv1pgxYxgcHMysrCxeuXKFVapU0VnjU6lUXL9+PdVqNWfOnKmzxvcbwBoAzz5yZ6YBXPuUNT71I5foXCOjEm5OU1NTJiYm0tPTU9xA/ccff1ClUvHChQskS7ori5dsefjwIV1dXfnTTz8xPz+f+fn5PHLkiFgaZtSoURUKzHhZ7Nu3j127dmV+fj779etHQRA4Y8YM8bpWq+X48ePp7e3NvXv3MiAggIIg0Nvbm/v27Xtq/9nZ2Rw1ahRtbGy4aNGiF7KGdfz4cXp6evLBgwcl3Jm5ubnl7mf//v20tLSkQqHg2rVrS1xfs2YNbWxsuGfPnue2ubyEhYWJZZckJCReD54ofMbGxrSzs2NISAgPHDhAUlf4MjIy2LlzZ6pUKrq6unL58uU6wnf//n22adNGzGoyfvx4najO7du3s2rVqv9EdTZrxoUqlShoPwH0A2jyKGilbzmEjyoV+fvv3LBhA42KCaBMJhP3VhkZGVFPT69EZpInCR9JXrx4kSEhIbS2tqalpSVbtGjBv//+myR5+fJl+vv708zMjO++++7zfi7PTFBQEOVyOW1sbCiXy7l582bxmlar5YgRI1itWjXWrVuXgiCwevXq5V6H2rNnD728vBgWFlbuTDflITIykvXq1aO5uXm5ojMfR61WMywsjIIgsF27dqWu/U2fPp3Ozs6vrG5iEbt376a/v78U5CIh8Rrx+qUs+/pr0sioYllbih9OTmLqsri4OPr6+lImk3Hq1KlMT0/nihUr2KtXL/r4+NDY2FjMsuHp6SluTyhrk3qlcOkSGR1NWlmR+vqknl7hBv+uXQsz3BT7Qr1+/bqO2Pfp00e8ptFo2L17d/GefX19n5q5pojk5GT26dOHLi4uOkL6PGg0Gm7evJmtW7emTCZjdHT0U6MzS2PPnj00MzOjSqUq1TaNRsOYmBj6+vqKRWhfJRqNhh4eHiUiZiUkJCqP10/47t4tnLU9i+gZG3Nb586MioriihUruH//fl65coWfffYZL168WOpwGRkZXLlyJcPDw1m9evUSYhgaGsq5c+e+0BlOuTh/nmzUiFQoCsXu8XuVyUilkqxalfzf/0gW7iErEj1BEAiAK1as4MmTJ2llZUUArF69erkjL7VaLX/++Wfa29vzk08+KTPXZ0V48OABp0+fLrozP/vsM9apU6fC/eTl5bFz584UBIFdunQRc4wWJycnh926dWNQUBBTU1Of2/Zn5T//+Q/79+9faeNLSEjo8voJH0nu2lX4hV9B0WP37vzk449Fl6apqSn19fXZtWvXCg2fkZHB1atXMyIigr6+vlQqlQRAAwMDenh4sEuXLpw9e/bLE8P9+wvFXxDKd+8KBW9/+60oelWrVqWBgQEBUKFQEABVKlW51vCKiIuLY0hICP38/Hjo0KHnvqXz589z0KBBNDc3Z48ePUR3Zp8+ffjf//63Qn3FxsZSqVTSzMyszPW61NRUBgUFMSws7KnbHl42SUlJNDc3fyE/HCQkJJ6f11P4SHLLlkIxk8uf/sWvVJK9e5NqNdVqNZ2dnUURMDQ0fGFf3AAYHh7OGjVq6Iihu7s73333Xc6aNeuZ3HU6nDnz1BmvzprmoyMb4JyQEKamprJq1ao6gT3+/v7l/vIvKCjgzJkzaWVlxa+//rrUmVR5KSgo4ObNm9mmTRva2dmV2GyenZ1Nc3Pzcj+zrKwstmnThoIgsHv37mUmgC5ycQ8bNqzCycNfFl26dOGPP/5Y2WZISEjwdRY+stDd17t34Zrf49Ua5PLCWWHt2uSaNTprXTt37qSxsTENDAxobGzMIUOGMDMzs0T3bm5uNDIyolKpFI/BgweXasqNGzcKxabYl21WVhbXrFnDPn360M/PT0cM3dzc2LlzZ86cOVNMglyc8ePHs23btiVdcH5+T53plSZ8BKhRqejj7q7j7pTJZGzfvj1J0t/fnwB448aNUu/x1KlTbNiwIYOCgsp0DZeHU6dOEQA9PDxYv359/vTTT6VGZ65du5atW7cutY/c3Fydsk6//PILFQoFrays+Oeff5Y59smTJ+ns7Mzp06c/s/0vg61bt7JBgwaVbYaEhARfd+Er4sEDcuZMsls3skULslMncsgQ8vTpMt/SokULOjs7MyEhgb1796anpyf37t2r08bNzY27d+8ulwmlCV9pZGdnc926dezbty9r1qxJlUolul7d3NzYqVMnzpgxgzVq1KBcLqe9vb0YGcrjx0sI/OPi9iThewhwVsOGNDc3p4GBAatUqcKff/6Zx44d4+nTp1mtWrVShS87O5uff/45ra2t+eOPPz7zLOn8+fOMjo6miYkJAXD//v3UarXMySFXrCBjYsjwcHLQoMKPs337CC5durTUvkJDQ1m3bl2mpaWxWbNmFASBffv2faJte/bsoY2NzVPLKVUGBQUFdHFx4cmTJyvbFAmJt55/h/A9AykpKTozrU2bNtHR0ZGDBw8WU3Y9SfgKCgo4fPhwWllZ0cPDg3PmzNERvsTERL7zzju0sLCgl5eXjhvr8W0RO3fupKWlJfv168datWqJ62/FZ2bh4eHM69aNSwWBTQDGALQAOBZgAcDhAK0AegCcU4bwEaDax4cGBgZs0KAB69evL9owfPhwTpo0SUf4tmzZwipVqlAQBCoUCn766adi+yKhX7ZsGV1cXGhlZSXWrCMLoxUnT55MT09PmpiY0M7OjjY2Nvzyyy/p6OhIADQ2VlJfX0mF4mAJ762RkZZADjt1yufjsTZ//vknFQqFmEzczs7uqaWCVq1aRVtb2xI/bl4nxo8fX6ZHQUJC4tXxxgpfaaSmpjIyMpIeHh78/fffnyh88+fPp7e3N2/dusWUlBQ2b95cR/iCgoIYHR3NnJwc/v3337S2thYDLZ62H/D777+nnp4eAVAulxMA9fT0mANwKUA5wFmPhC0b4HyA3gBvAUwB2PwJwpcjCDRXqbhr1y5Wq1aN58+fZ0FBAZ2dnXnz5k1R+FJSUtihQwfa2dlxw4YNPHXqFG1tbblhwwaS/whf//79mZ2dzZMnT9LAwEDcsP/NN9/Q1dWVrq6urFu3Llu0aMFu3brpvFepVPNR6tUyD0EonOR+802ht1qj0dDLy0v8USCXy3nt2rUyP1OtVsspU6bQ1dVVpzLI60hcXBwtLS11XLgSEhKvnrdK+IrYsmULnZycqFKpxOjAoqNo5taiRQvOnz9ffM/OnTtF4bt16xZlMplOlN7o0aMZGRlJ8unCd+TIEbq4uDAiIoLr16+nn58fN65ZQ61czqUAXR5ThxaPxK/o9c4nCZ+hId0cHLh7925OmDCBYWFhbNy4Mf39/alWqwmAs2fPpoODAwcPHsz09HTRrqFDhzImJobkP+JVfNbcoEEDfvfdd4yOjqZMJmOLFi146NAh+vr68tdff6Wenh7VajVXrbrxSLjUT41LKjqMjckJE8iIiAhR9IyNjamvr8+IiIgSn2FcXByVSiWjo6NZs2bNMgvOvm506NCBy5cvr2wzJCTeap4rV+e/lY4dO+Ls2bNwcXGBUqnEqlWrShRefTyJtpubm841S0tLmJiY6Fw/duxYuca/cOECLC0tERsbi9jYWGRmZiL53j0IMhmg0cDlsfZJgM45N5SNT34+MjMz8Z///AfHjh1DVlYWSMLGxkbMjTpr1iysX78eMpkM7777Ls6ePYv8/Hzk5eWhW7duOv3Z29tDo9Fg27ZtuHLlCiZOnIhhw4bBwMAAx44dQ/v27QEA/fr1g1wux+nTdxEVVbyHPgCWA4gFULxobQyA7wEsBdAH2dnA11/nQyZ7iOrVq6NHjx5wc3ODq6sratWqBXd3dyxatEj8nGxsbNC2bVtcunQJ+/fvh5mZWXkefaUTFRWF6dOnIyIiorJNkZB4a3mu6gz/ZszNzWFlZYWYmBh8+OGHGDBgAB4+fChefzyJ9q1bt8S/HR0dkZqaioyMDJ3rTk5OAJ6cnDsuLg5RUVGYM2cOUlJSkJaWBj8/P9DQUKxM8Xi6awcA8cVe38KTycrNxd69e5GZmQmSAIC0tDT4+PgAAHr16oWUlBR07doVrVq1wq1bt5Ceno6BAweK7YuYMWMGqlWrhokTJ8Le3h5Tp07FhAkT4Orqis2bNyMtLU08cnNzsWGDEwoKHr+DaigUvyIKAKwD4KXTqqDAAL6+a3H+/HmMGzcOERERaN68OSwtLXXapaSkoHXr1lAoFNi+ffu/RvSAwgohV69exYULFyrbFAmJt5dKnnFWKkVrfGlpaYyKiqKrqyt37NhBkpw3bx6rV6/O+Ph4pqamsmXLljprfIGBgRw8eDBzcnLE9bFdu3aRJH/88Ud6e3szJSWFt2/fZqNGjURX57lz52hoaMiLFy+yoKCAS5YsoVwuL6xbWK8elwJs+pgfcB7A6gDjAaYCbPkEV6ebINDW1pZff/01raysqK+vTwA0MjLixIkTCYDvvvuuWIRXEATq6+vTxcWF+vr6NDc3p6enp5jpRalUctasWdRoNAwODqaVlRWnTJlCBwcHCoLAq1ev0s3NjevWreOvv26kuTkJZBGQEbhEIJLAcAJ2BFIfmbmZQHsCTQksfXTuKoEWBCxpbm7Fnj17ivXzevfuTUEQaGRkRGNjY1pbW/Ojjz7S+TyWLl1KDw8PqlQquru7c+XKlSTJK1euMCgoiKamprSysmJYWJj4+V+4cIGtW7emhYUFq1Wr9sqiQUePHq0TSCQhIfFqeeuFr/g+PiMjIyoUCn744Ye8f/8+Y2JiaGlpSXd39xJRnfHx8ezYsSMtLCzo6empsx6Yk5PDsLAwmpiYsGbNmpw+fbrOGt+YMWNoYWFBKysrDhs2jEFBQYXCt3YtlxoalhA+9aMoT0uA7k+K6jQ0pJuZGW1tbbl161aOGDGChoaGFASBDRs2FNf4/Pz8OGHCBK5evZqOjo4UBIF+fn5s2LAhDQ0NCYCurq4EQGtra8rlcioUCioUCurp6dHCwoKDBw9mly5d6OTkREEQaGdnx/feG00TkyJzxhGwJqBPoA+BKALzHl3rRmD1Y8J3hcAuyuW57NPnHps1a8ahQ4fqfFbz5s2jo6MjZ8+erbO9JDMzkyYmJuLew6SkJDHQpXv37pw0aRI1Gg1zcnLEhNyZmZl0dnbmkiVLqFarefz4cVpZWb2SAJmrV6/SxsamQpUnJCQkXhxvtfCVRnp6OgcOHEhnZ2du3br11Q6en89HU6ZnO4yM6ObsTCMjI8pkMjFtm0KhEKti/PXXX3RxcRGHfPDgAUNCQqhSqVi/fn2GhoayRYsW4vVz587RyMiIGRkZvHjxIu3s7Ni3b19+/fXXHDBgAENCQqivr0+VSkU9vS9KCWiJJDCWwH4CjQmkEbAlkP2Y8P1zBASQGzZsYO3atUU7bG1taWZmxvXr15NkCeEzMzPjr7/+yuzsbJ1HGh4ezqioqBJJBH755RcGBgbqnBswYAC/+uqrF/NZPoWWLVvyl19+eSVjSUhI6CIJXxns2bOH7u7ujIyMfLUJjhcuLJmlppxhkTn9+1OlUtHKykrclkAWugGLhG/NmjWUy+U0MTER9xPq6ekxICBArNVXVHaKLLlx383NTXTpFlHkMv7007xSTCsSPhLwIjCCwIePXhcXvrsEPiDgSJnMhEqlks7OzqL9MplMp67g43bt2LGDrVu3ppmZGUNCQsQai7dv32b//v3p4OBAX19fLl68mCQ5depU6uvr60T0KpVKDhw48EV/oqXy888/s1WrVq9kLAkJCV3e2uCWp9GqVSucOXMGSqUSfn5+2Lx586sZuH9/YMgQUKEo91tobIwkHx9U3boVgiBg8eLF6NKlS4l2Go0GN2/ehIGBAYyNjTF69GgkJiZCrVbj4MGD5a4iLwgC/vOf/yAqKgpr1qyB5lFQjpWVAQrLHpZFbwD/BVBaROPnKAzrOY0GDR5i5cqVIIlJkyZhwoQJcHBwgJ+fX5k9t2vXDrt378bt27fh4+ODqEehpfb29li4cCGSkpKwYMECDBo0CFevXoWLiwuCg4N1gnMyMzMxf/78cj2D5yU0NBSnTp3CtWvXXsl4EhIS/yAJ3xNQqVSYO3cuVq1ahZiYGISHhyM1NfWljZeSkoIRI0YgefhwzHVwgFouB4yMyn6Dvj5oaIid1tZom52NX9atg6WlJZRKpU6z7OxsJCYmomrVqli3bh3s7OzwySefYPTo0bCzs8PZs2dx9OjRCtl6+fJlLFq0CB9++CESEhLQrl07TJ4cBa028wnvGgJgN4CgUq5lAFBBJjOHq2sivv32W6SlpeG3337DwYMH4ezsjOvXr5fa6927d7Fp0yZkZWXB0NAQKpUKcrkcALBu3TokJCQAACwsLCAIAuRyOTp16oTLly9jxYoVUKvVUKvVOHr06CuLtjQ0NER4eDgWL178SsaTkJAoRmVPOf8tZGZm8pNPPqGDg4OOG/FFsmnTJrFSPABmXrtGTpzIHJWKDwWBaYJQWITW1JRapZIng4LYwMKCX331lRgoUTwbzblz5zhw4EAqFAra2NiIdfgSExPZvXt32tnZ0dzcnI0aNRLf8yRXp1qtpo2NDVu0aEFra2vRTqAwF+n33y+gSqV9gqvz8aO4q/MsgboElKxSpSZ9fX1paGgoJgnYuHEjXVxcaGZmxu+++07HrqSkJDFy08zMjMHBwTx37hxJcuTIkXR0dKRSqaSnpycXLFgg3tvFixcZEhJCa2trWlpaskWLFv/kTX0FnD9/ng4ODszPz39lY0pISEhrfBVm3759rFKlCnv06MH79++/sH6PHj2qU04JAAcNGsT58+fT1dGRyz/+mD3MzMhNm3j9p58Y3LAhmzZtKqYQK6KgoICxsbFs1aoV7ezsOH78eCYlJT2TTenp6fzhhx/Yvn172trailsfqlSpwvfff58GBgZUKBSsV6+e+CyGDuVT05Q96ahWTc2GDRsyMjLyrRCEpk2bvrQfUhISEqUjCd8zkJWVxWHDhtHe3l6MMnxeGjVqJFZNB0CZTEZ3d3c6Ojry8uXLdH9UbmjEiBG0trbm/PnzdSoVpKamctq0afTw8GCDBg24YsWKCofL37x5kxMmTGCTJk1oampKoLCQbe3atfnpp5/qzIa0Wi0dHR3Zs2dPnZp9168/W2wOQCoUGtrZDeEXX3xBbbEyU28yy5YtY0hISGWbISHxViEJ33Pw559/smrVqvzggw947969JzdOTianTiVr1CAdHEg7O9Lbm/zsMzIujpmZmTpVG/z8/Ojq6kpBEBgVFSW6QGvVqqWTl7LInWlubs6ePXuK7szycOTIEX7yySf08/OjkZERAdDc3JzNmjXj5MmTn1og9uHDh6UK1Lp1pL5+fgV3YhTQ2HgZf/jhh3Lb/yaQlZVFS0tL3rp1q7JNkZB4a5CE7znJzs7m8OHDaWdnx7Vr15ZskJBAhoUVFtNVKEp+4xsakoaGzAgIYC25nF26dKGhoSGdnZ1Zs2ZNHdcnALq7u1OtVovuTHt7+3K5M9VqNTdu3MiePXvSw8ODcrmcgiDQwcGBnTp14uLFi19I1YD4+HgGBgbS0DCSRkaap9XUffQI1DQyWsQNGzY99/j/RgYNGvTK9g9KSEhIwvfCOHjwIL29vdm1a1fevXu38OSZM6SVVWG1+Kd8+2sA5hsYcE5oKOvUqcM5c+aIWVQePxwdHdmgQQOuXLmyTHfmw4cPuWDBArH0kCAI1NPTo5eXFyMiIrht27ZnLjj7OPn5+dywYQObNWsmllvq06cPT5wg33uvdM3X0ys85+5+l+bmkRWaqb5p/P3333RxcWFBQUFlmyIh8VYgCV8FebzkUHGys7P52Wef0c7OjrGzZlFrYVHhha5smYyJGzeKAlL8EASB1atX57p160qMHRcXx6+//ppNmjShmZmZuD7n7+/PYcOG8cSJEy/tmUyfPl1nfVJfX59Xr14Vr9+7V1hvr0sXMiiI7NiRjInRMjp6Fj09PXn58uWXZtu/hfr167/6TEESEm8pb6zwFc/DaWtryz59+oiV15+HJwkfWZgn8p133qE1QBUKC8h+CTCzAuKnsbFh50d5QIsLn7m5uTjO0aNHOWTIENasWVNnfS4wMJDffPNNiRRdL5O8vDw2a9ZMtNPW1vaJ7fPz89m3b1/Wr1+fd+7ceUVWvt78+OOP7NKlS2WbISHxVvBGb2DfvHkzMjMzceLECRw9ehSTJk16qeOlpqYiICAAKo0GRwwNkYHC7dppACqSn0OWm4velpZIS0vTOZ+WlgYvLy/o6+ujYcOGWLt2Ldzc3DBnzhxkZGTgwYMH2L9/Pz7//HM4Ozu/wDt7MvHx8Th8+DDc3d0hk8nQsWPHMttmZmaic+fOuHv3Lvbu3Qs7O7tXZufrTPfu3bF3717cvn27sk2RkHjjeaOFrwgnJyd06NABZ8+eBQAsXboU1atXh4mJCTw9PbFgwQKx7bJlyxAYGKjzfkEQcPXq1aeOM336dJiYmGClkxM8HqXxckFhudVaj9pcBNAGgCUAbwBrH51PAqAqOjIyEPkoZdfjJCQkoGnTpkhOTsbt27exefNmfP311/jhhx9Qq1YtmJmZ4YMPPkBubi4AYO/evXB2dsZ///tf2NrawsHBAUuXLhX7y8vLw4gRI+Dq6go7OzsMHDgQOTk5T73XIpKTk1G7dm34+/vjxo0bWLBgAWJiYkpte/fuXTRv3hzOzs6IjY0tkWHmbcbExARdu3bFsmXLKtsUCYk3nrdC+OLj47Ft2zbUqVMHAGBra4stW7bg4cOHWLp0KYYNG4YTJ0489zh79uzBe6GhkK1cCRQUlLiehULR6wngHoCfAQwCcA6AI4DMYkdnElZKJaysrCCTFX5Mcrkc8+bNg1arxcSJE3X6Xrt2LXbs2IEbN27g9OnTOl+gd+7cQXp6OhITE7F48WIMHjwYDx48AACMGjUKly9fxsmTJ3H16lUkJiaW6LsscnNzUbNmTdjY2IMKXssAACAASURBVODgwYMAgP79+6NWrVol2l6+fBkBAQF455138OOPP0JPT69cY7xNREVFYdGiRdBqtZVtioTEG80bLXxdunSBubk5AgMDERwcjDFjxgAAOnbsCC8vLwiCgODgYLRt2xb79+9/7vFSUlLgYG0NqNWlXt8CwB1AXwB6AOoCeB/Ar4+1mwrgikyG+N9/R3JyMs6cOQMAmDhxIgICAvDpp59i3759Ou8ZMmQIHB0dYWlpiXfeeQcnT54Ur+nr6+PLL7+Evr4+QkJCoFKpcOnSJZDEwoULMWPGDFhaWsLExARjxozBL7/88tR71Wq1qF27NtRqNU6fPv1EITt06BCCg4PxxRdfYPz48eVOhv220aBBA6hUKvzxxx+VbYqExBvNG/2ze+PGjWjdunWJ89u3b8eECRNw+fJlaLVaZGdno2bNms89npWVFW4nJAByeakzvjgAhwGYFztXACC8uG0odI0eVipRVJ/h5MmTEAQBc+fOxZQpU6DVamFhYaHTt729vfi3sbExkpKSdOwqLkzGxsbIzMzE/fv3kZ2djXr16onXSIrVFp5EixYtEB8fjytXrkClUpXZLjY2FlFRUVi+fDk6dOjw1H7fZgRBQFRUFBYuXIhWrf6/vTuPi6rqHzj+mUFAZJFFRUXFXB4rV3w0zFRciB5cUEPNxMRxzSX9VW5oWeau5aOWS1nP4IKKS6kgmGuZ4lbu5G6CgoooyA4Dc39/jE4iqKDIkHzfrxevFzP33Hu/w0v5cs4953s6mDocIV5YL3SPLz+ZmZn4+voyZswYbt68SWJiIh07djQ+T7O2tiYtLc3Y/saNGwW+tqenJz+Fh6PPzMz3eHXAA8Nkl/tfKcD9jXDOAf4YnvtVVxSwN6TIr7/+GjMzM06ePElS0t9b9jyrChUqYGVlRWRkpHFrnrt375KS8rgdFqBPnz4cOHCAw4cPU7Vq1Ue2W7JkCcOGDSMsLEySXgH5+fmxbds24uPjTR2KEC+sUpf4srKyyMzMpGLFipQpU4bw8HC2b99uPN64cWMiIyM5fvw4GRkZfP755wW+9kcffURScjL+trZE3XsvBvgIOAl0Bs4DKwHdva8jwBkgCegKTAOMU2tq1gQMs0UtLCywt7cnJiaGuXPnPuWnz02tVjN48GA+/PBD4uLiDPHGxPDzzz8/8pzx48cTHBzMtm3bqF+/fr5tFEVh4sSJ/Pe//2Xfvn00a9asSOItDRwcHPDx8WHFihWmDkWIF1apS3y2trYsXLiQXr164eDgwOrVq/Hx8TEe/9e//sXkyZPx9PSkbt26eWZ4Po6joyMRERGYN2yIu0qFLdABKA/UAWyB7cBaDJNZKgPjgUzgKIYe30fcm9mZmYmNkxMAtWrVQq/XU758eTp16sTbb7/97D+Ie2bPnk2dOnVo0aIFdnZ2eHp6cu7cuXzbfvPNN8ydO5cVK1bQvn37fNtkZWXh7+/Pnj17iIiIoFatWkUWa2lxf7izKHr1Qoi8VIr87yp6qalQqRI8MGRaKGXLQmQk3Esa7dq1Iycnh7179xZhkIXz008/4evry4wZM5gwYUK+bZKSkvD19cXa2prVq1dTrly5Yo7yxaAoCq+++irLli0r1B9eQoiCKXU9vmJhbQ3jxsHT/OK3sgIfH2PSA8NaOVMu9D548CA9e/Zk2LBhj0x6sbGxtGnThrp167Jx40ZJes9ApVIxaNAgli1bZupQhHghSeJ7XiZPhi5dCpf8rKygQQN46PlOQkJCsVZiedClS5fw8PCgU6dOLFq0KN82Z86coWXLlrzzzjssWrQIMzOzYo7yxdOvXz82b96cp3qPEOLZSeJ7XlQqWL0aBgwwJL/HJQOVytBLbNsWfv0VLC1zHU5JScHV1fX5xpuP27dv4+bmRqNGjdi8eXO+bfbt20fbtm2ZOnUqAQEBskaviFSsWJG33nqLoKAgU4cixAtHEt/zpFbD119DRAT07Wt4dmdrC1ZWKGXLkgwolpbQqROEhcHWrYZe30PS09OLfZJIRkYGDRo0wMnJiQMHDuTbZuPGjbz99tusWrWK9957L9824unJJBchng+Z3FKc7t6FnTshPh70eqYvXoz7+PF49u372NPUajVnzpyhXr16xRKmXq+nfv363Lp1iytXruS7QH3hwoXMmTOH0NBQmjRpUixxlTZ6vZ46deoQHBxM8+bNTR2OEC+MF7pyS4lTvjz4+hpfJly6xOHoaPLWlvlbeno6iqJQu3bt5x/fPe3atSM6Ojrfqix6vZ7x48cTGhrK/v37TTIEW1qo1WrjJBdJfEIUHRnqNKEmTZpw4sSJx7a5cOECKpWq2Io6+/n5ERERwaFDh/JUZcnMzMTPz4+DBw9K0ismGo2G9evXP7GajhCi4CTxmVDjxo2fmPjOnz+PhYVFscQzYcIE1q5dy7Zt22jQoEGuY4mJifznP/9Bp9OxY8cOHB0diyWm0q5KlSp4eHgUqHC4EKJgJPGZ0Msvv0xUVBSpqamPbHP58uViWRO3aNEi5syZw/Lly/MUSL527RqtW7emUaNGBAcHU7Zs2ecej/jb/UkuQoiiIYnPhMzNzXnllVeMG+TmJyoqCltb2+cax6ZNm/jggw+YPn06fR+aaHP69GlatmyJv78/8+fPlzV6JvCf//yH2NjYJ44OCCEKRhKfiTVu3DjX3nkPi42NzbMFUVE6dOgQPXr04P333ycgICDXsT179tC+fXtmz57NmDFjZI2eiZiZmTFgwADp9QlRRGRWp4k9aYLLzZs3qVix4nO596VLl2jTpg0dO3Zk8eLFuY6tXbuWUaNGERwcTLt27Z7L/UXBDRw4EDc3N8ZMn85v6enE63TkKApO5uZ0cHCghgw/C1FgkvhMrHHjxqxbt+6Rx2/fvv1cljLcuXMHNzc3GjZsyJYtW4zvK4rCvHnzWLBgAbt27SqSDXrFs1EUhWvly1Nm5kzqHj1KWTMzshQFBbBQqchRFN4oX56xNWrwpoMDaumZC/FYkvhMrHHjxpw8eRK9Xo9anXfk+e7du0VepzMjI4P69evj5OTEwYMHje/n5OTw8ccfs3PnTvbv30/16tWL9L6i8LL1egaeO8eGW7dIr1sXRaUiRa83Htfdqz+xKzGRg0lJvG5nx6aGDbGWZ7FCPJI84zMxBwcHHB0duXz5cr7HU1NTqXlvQ9qioNfrcXNzIysri1OnThnXB2ZkZNC7d29OnDjBvn37JOmVADmKQtfTp9lw6xZpej3KE3pyqXo9++7epfWxY2Tk5BRTlEL880jiKwEet54vIyODOnXqFNm92rdvT1RUFKdOnTJWZblz5w5eXl6YmZmxbds27O3ti+x+4ukFXL7ML4mJpD3Qw3uSDEXhbFoa7509m+t9lUrFxYsX8z0nKCgILy+vAl2/f//+fPLJJwWOR4iSSBJfCdCkSZNHzuzMzs4ushqdfn5+7N+/n8OHDxurskRFRdGqVStee+01Vq9ejeVDO0MIg5o1a2JlZYWNjY3xa+TIkc/tfnezs/kmJiZv0tu3DwYNMhQ279oVPvoIbtzI1SRdryf09m0up6cX6F5+fn5s3769qEIXosSTZ3wlQOPGjVm+fHme9+Pj4wHylA57GgEBAaxdu5bt27cbq7IcP36czp07M3bsWEaPHv3M93jRhYSE4On5uMqqRWfFjRt5/yqNiYFZs2DKFGjaFNLT4cgRw7ZWD9ErCl9fu8Z/69YtlniF+CeRHl8J8KihznPnzmFmZpbvpJfCWLx4MbNnzyYwMNBYlWXnzp14eXkxf/58SXrP6P6koAoVKvDSSy/xzTffoFKpyM7OBgxrMX18fHB0dKROnTq51uN9/vnn9OrVi379+mFra0v9+vX5/fff+fLqVVIf7u1dvAiVK8O//21IduXKgYcHODvfDwRWrQI/P7K8vVnYuTMXo6KMp+/cuZO6devi4ODAiBEjjNsdBQYG0qpVK2O7s2fP8uabb+Lo6Ei9evUeO+v4/u4c9vb2tGzZkpMnTz7rj1OI504SXwlQq1YtEhISuHPnTq73L168+MxDj5s3b2bkyJFMnz7duGfeqlWr8PPzY+PGjfTo0eOZri9g2bJlhIeHc/z4cY4ePcqmTZtyHX/33XepVq0asbGxbNiwgYkTJ7Jr1y7j8S1bttC7d28SExPx8fFhxMiRXMvMzHujunUhOhoWLYJjxww9vgetXw+7d8PMmbB1K5YTJpDwwB9NoaGhHDlyhBMnTrBu3Tp+/vnnPLdITU3lzTffpE+fPsTFxbFmzRqGDx9OZGRknrZHjx5lwIABfPvtt9y+fZuhQ4fi4+NDZn6xC1GCSOIrAdRqNQ0bNszz1/Jff/31THU6Dx06hK+vL0OHDiUgIABFUZg1axaffPIJe/bsoXXr1s8aeqnSrVs37O3tjV/3e27r1q1j9OjRVKtWDQcHByZMmGA85+rVq+zbt4/Zs2dTtmxZmjRpwqBBg1i5cqWxTatWrejYsSNmZma89957nDxxAov8evlVq8L8+XDrlmG4s2tXw9Dn/QQYFgYDBkCNGqBSYV6nDqry5Y2nT5gwAXt7e2rUqEG7du3yfa4cGhpKzZo10Wg0lClThqZNm+Lr68uGDRvytF22bBlDhw7F3d0dMzMz/P39sbS0zLVERoiSSJ7xlRD3J7i0bdvW+N61a9ews7N7quvdr8ri7e3NkiVLyMnJYdSoUezfv5+IiIgieW5Y2mzatCnfZ3yxsbG5ln88+H1sbCyOjo656q26urry+++/G19XrlzZ+H25cuXIyMjATKeD/NbivfoqfP654fuzZ+GLLwzDm4MHQ1wcuLgYmyqA1QPXePg++W11FBUVxaFDh3LN7M3OzjaOFjzcdvny5Xz99dfG97KysoiNjc0btxAliCS+EqJx48YcOHAg13v3f2kW1oNVWUJCQkhPT6dPnz4kJyezd+/ep06mIn9VqlTh2rVrxtdXr141fl+1alXu3LlDcnKyMflFR0fj8kCCyo+5SsUTV+K9/DK0bg1//WV4XamSYQLMSy8BkKXXU6WQW1pVr14dDw8PduzYUaC2kyZNYtKkSYW6hxCmJkOdJUR+E1zi4uKoVKlSoa5zvyqLo6MjBw8eJD4+ng4dOmBjY0NYWJgkveegV69eLFiwgJiYGBITE5k9e7bxWPXq1WnZsiUBAQFkZGRw8uRJfvjhB/z8/B57TT9n57x/lZ46BaGhkJBgeB0dDRERhl4gQMeOoNXCtWugKDS+eRMlKalQn6Vz586cP3+elStXotPp0Ol0HDlyhDNnzuRpO3jwYJYuXcqhQ4dQFIXU1FS2bt1KcnJyoe4pRHGTxFdCNGzYkLNnz6LT6YzvJSQkFGpI8sGqLKdPnyY6Opo33ngDDw8PVqxYUWwb2r6ounTpkmsdX/fu3QFDAvDy8qJRo0a4ubnRsWNHypQpY9zCac2aNVy5coWqVavSvXt3pkyZwptvvvnYe42qVg3zh5/z2dgYEt3AgeDtDePGQatW0Lu34XjPntC2LYwdC506kThzJukFXMt3n62tLdu3b2ft2rVUrVqVypUrM378+HwnrDRr1oxly5YxcuRIHBwcqFOnDoGBgYW6nxCmoFLuz2kWJvfyyy+zfv16Y2HoChUqMGrUKCZPnlyg89u1a8ehQ4e4ePEi169fx8fHh0mTJjF8+PDnGbZ4SHh4OO+//z5RDywleBot/viD35OTnzzkmY9qlpZEtWghBauFyIf0+EqIO3fuUKVKFWbNmkXDhg3x8vIiMTGRc+fOsWHDBnKeUHuxb9++7Nu3j8OHD3Py5Em8vb1ZtGiRJL1ikJ6eTlhYGNnZ2cTExDBlyhRjb/BZbKhfH8vsbChEyTIAG7WasIYNJekJ8QjS4ysB1q5dS58+fbCwsCA7Oxu9Xm9cXGxmZoalpSVxcXFYW1vne35AQABz5sxh+/btREdHExAQwI8//kjLli2L82OUWmlpaXh4eHD27FmsrKzo1KkTCxYseOrnqcnJyYSEhPB///d/JNnbY/P999zV68l+wnlqwMbMjPBGjWj5wDIGIURuMquzBOjcuTMuLi7GmYEWFhaYmZmRnp6OpaUlM2fOzJX00tLSOH/+PE2aNDFWZdFqtURERKDVavn111+LrL6neLJy5cpx5MiRZ77OsWPHGD9+PHv37iUnJ4fs7GzG+Pvzsbs7Ey5fJvjWLcwgT0UXK7UaBfB2dGROrVrUeYa1n0KUBtLjKyFOnTqFu7s76enptGvXjkuXLhEdHU29evWIjIw0TpQAWLJkCSNGjKBz586EhoYydepUoqKiOHr0KKGhobnWa4l/jtDQULp27Yr+XmIzNzcnJiaGihUrApCUnc2KGzdYfuMGt7OzURQFB3NzelSsyOAqVagok5eEKBBJfCXIsmXLGDJkCLNmzeLq1assWrSIw4cP07x581ztPD09jSWvKlWqRLNmzdDr9axfv9641ZD4Z2rRogWHDh0CDLMmi6InKYTITYY6S5CBAwexfv111OqB5OTE4eBggU7XHEX5uwC/Tqdj3759xnPi4uI4deoUly5dwtzc3ESRi6Lw7rvv8vvvvzN58mSmTZvGgAEDTB2SEC8k6fGVAHfvQmAgfPklJCaCokBWVg56fRZWVlY4ORmWZr33HuzbF0anTp1ynW9mZkZYWFiBNxMVJY+fnx/BwcHs3LmTtm3b8scff1C/fn3Kli1r6tCEeOFIj8/EIiIMBTd0OkhLe/CIGWBFSgqkpMD48fDppwrlyn2HWq1Gr9djaWmJoijUq1cv18J38c/St29fgoOD2bFjh7FW67///W/TBiXEC0x6fCb066+GpJc74T2eWp1O27bTsLA4yogRI/Dw8MhVAFn8s/Tr14/Vq1ezfft22rdvb+pwhCgVJPE9hV9++YW+ffvmKkz8oP79+1OtWjWmTZv2yGv89Rc0bgyFK2toA5zEzq4WkZFQrVqhwhYljL+/P0FBQfz888/GDYKFEM9fqa7cUrNmTaysrLCxscHZ2RmNRpPvVi3Pw+zZefcRhSuACkOCswFqArMeOJ4C1CIjA/7732IIUjw3Go2GoKAgwsPDJekJUcxKdeIDCAkJISUlhaNHj3LkyJHH9tKKSmoqrFwJ2Y8sxZGIIcmtAb4AtuU6mpUFy5ZBRsZzDVM8JwMGDGDlypWEh4c/sVi1EKLolfrEd5+Liwve3t6cPn0aAK1WyyuvvIKtrS21atXi22+/zXPOjBkzqFChAjVr1iQoKOiR1162bBl16tTB0dERHx8fFi+OpWBlFF8H6gOn771WARcB0OvTefvtj3F1daV8+fK0atXKWIm/Z8+eVK5cmfLly9OmTRsiIyONVwwLC+PVV1/F1tYWFxcXvvzySwDi4+Pp3Lkz9vb2ODo60rp1a+NC6jNnztC2bVvs7e2pX78+W7ZsKUjwIh+DBg1i+fLlbN26VZKeECYiie+eq1evEhYWhpubG2BYGB4aGkpSUhJarZYPP/yQo0ePGtvfuHGD+Ph4YmJiWL58OUOGDOHcuXN5rrt7924CAgJYt24d169fx9XVlS+/7E1q6pMiUoD9QCTgludoauoYjh//g4iICO7cucOcOXNQ39vGxtvbmwsXLhAXF0fTpk1z7f02cOBAvv32W5KTkzl9+rRxQsVXX31FtWrVuHXrFjdv3mTGjBmoVCp0Oh1dunTBy8uLuLg4vv76a/z8/PL9rOLxBg8ejFarJTQ0lLfeesvU4QhReimlmKurq2Jtba2UL19eqVGjhjJs2DAlLS0t37Zdu3ZV5s+fryiKouzZs0cxMzNTUlJSjMd79uypfPHFF4qiKIq/v78yadIkRVEUZcCAAcrYsWON7ZKTkxWVqowCfymGFXsPfv2lAAqUV8BegZcVWPDAcRS4oECOAmWV9u2PP/EzJiQkKICSmJioKIqiVK9eXVm6dKly9+7dXO0+/fRTxcfHR7lw4UKu9/fu3as4OzsrOTk5xvd69+6tfPbZZ0+8t/jbkCFDFLVarWzdutXUoQhR6pX6Ht+mTZtITEwkKiqKxYsXY2VlBRj2VGvRogWOjo7Y29sTFhZGfHy88TwHB4dchaNdXV2JjY3Nc/3Y2FhcXV2Nr21sbLCwcAJiHhNVPJAAnAFGPeJ4Bs7OtfMcycnJYcKECdSuXRs7Oztq1qxpOONe7Bs3biQsLAxXV1c8PDw4cOAAAGPHjqVOnTp4eXlRq1YtZs2aZYy/evXqxt7k/c8aE/O4+MWDhg0bxvfff8+WLVvo2LGjqcMRotQr9YkvP5mZmfj6+jJmzBhu3rxJYmIiHTt2NG4VBIbd0VMfGK+Mjo7Od7f0qlWr5tqQNDU1FZ3uNmZmLs8QYQWgLLa2l/IcWb16NZs3b2bnzp3cvXuXK1euABhjb968OZs3byYuLo5u3brRq1cvwLDz9ldffcXly5cJCQlh3rx57Nq1i6pVq3L16lXj8777n9XF5VniLz2GDx/Od999x6ZNm/JU3BFCmIYkvnxkZWWRmZlJxYoVKVOmDOHh4Wzfvj1Pu88++4ysrCx+++03QkND6dmzZ542ffr0QavVcvz4cTIzM5k4cSKNG7tjYVHzGSJUY2Y2gN2732Py5MmMHz+eDh064O7uzu7du7G0tMTJyYm0tDQmTpyY63MFBQVx9+5dzM3NsbOzM+76EBoaysWLF1EUxfi+mZkZ7u7uWFtbM2fOHHQ6Hb/88gshISH07t37GeIvHUaMGMG3337LTz/9RJcuXUwdjhDiHilZlg9bW1sWLlxIr169yMzMpEuXLvj4+ORqU7lyZRwcHKhatSrlypVj6dKlvPzyy3mu1aFDB6ZOnYqvry8JCQm0bNmSLVvW0rUrPDBXptCaN/+SP/+szNSpU43vmZubM3r0aO7cuYOLiwuOjo5MnTqVJUuWGNusXLmSkSNHkpOTQ7169Vi1ahUAFy5cYOTIkdy6dQsHBweGDx9uLJ+1ZcsWhg8fzsyZM3FxcWHFihX5flbxtw8++IClS5fy448/5vm3I4QwLancYiIbNkD//hRgdmde1tYQHAxt2iTTrFkzLl68iF6vR6VSERAQwIABA6hdO+/zP1E8Ro0axaJFi9iwYQPdu3c3dThCiIfIUKeJ+PpC9+5Q2M2yy5WDPn0MNT5tbW3Zv38/Li4uqNVqfH19SUlJoUWLFnh4eBAYGFhslWiEwejRo1m0aBHr16+XpCdECSU9PhPS6QxJLDy8YD2/cuXg7bcNWxg9sCE7V69excvLi/Xr19OgQQOysrIICQkhMDCQffv20b17dzQaDa1atUJVsJXz4il89NFHLFiwgHXr1uHr62vqcIQQjyCJz8QUBRYuhJkzDckvvw6ajQ3Y2cEnn8D771PAqi8G169fZ9WqVWi1WnQ6Hf3796dfv35Ur1696D6E4OOPP2b+/PmsXbs230lOQoiSQxJfCaHXw/bthuLT588bkqC1NbzyCnz0EbRvD+pnGJhWFIXDhw+j1WpZt24dzZs3R6PR0K1bN9ns9BmNHTuWefPmsWbNGuPyECFEySWJrxRKT0/np59+QqvVcvToUd555x00Gg3NmjWTodBCGjduHF999RWrV6/mnXfeMXU4QogCkMRXykVHR7N8+XICAwOxsrJCo9HQt29fnJ2dTR1aiTd+/Hjmzp1LUFAQ7777rqnDEUIUkCQ+ARiGQn/77Te0Wi2bNm2iTZs2aDQaOnbsiIWFhanDK3ECAgKYPXs2K1euzFUEXAhR8kniE3mkpKSwfv16tFot586do0+fPmg0Gho1amTq0EqEiRMnMmvWLEl6QvxDSeITj3Xx4kUCAwNZvnw5lSpVQqPR0KdPHxwdHU0dmkl8+umnTJ8+neXLl/Pee++ZOhwhxFOQxCcKJCcnh127dqHVagkPD8fLywuNRoOXl5ex3ueLbvLkyUybNo3AwED69etn6nCEEE9JEp8otISEBIKDg9FqtVy7do1+/fqh0Wj417/+ZerQnpvPPvuMqVOnotVq8ff3N3U4QohnIIlPPJPIyEgCAwNZtWoVtWrVQqPR0KtXL+zs7EwdWpGZMmUKU6ZM4YcffkCj0Zg6HCHEM5LEJ4qETqdj27ZtaLVadu/ejY+PDxqNBg8Pj1yb2P7TfPHFF3z++ecsW7aMgQMHmjocIUQRkMQnitytW7cICgpCq9WSlJRE//798ff3N+4G/08xbdo0Jk+ezHfffcegQYNMHY4QoohI4hPPjaIoHDt2DK1Wy5o1a2jUqBEajQZfX1/KFXZbimI2ffp0Pv30U5YuXcqQIUNMHY4QoghJ4hPFIjMzk5CQELRaLQcOHMDX1xeNRsPrr79eIsqkZWZm4uXlxYIFCwgPD2fSpEksWbKEoUOHmjo0IUQRk8Qnil1sbCwrV65Eq9UCGHeMqFq1qsli2rp1K2+//TYqlYrMzEwWL17MsGHDTBaPEOL5kcQnTEZRFA4ePIhWq2XDhg20aNECjUaDj48PlpaWRXIPvaJwJDmZG1lZZOr12JcpQ1MbGyo8VIatV69erF+/HoCyZcsSERGBm5tbkcQghChZJPGJEiEtLY0ff/wRrVbLiRMn6N27NxqNhqZNmz7VUOgdnY4frl9n3rVrpObkcP8KKiBTUejk6MiY6tVxt7NDp9NhY2ODTqcDwMLCgjZt2rBjx46i+4BCiBJDEp8oca5cuWLcMcLW1ta4Y0TFihULdP7amzcZcO4cAOl6fb5t1ICVWs1rdnY0WLOGr+fMwdLSkl69euHv74+HhwdlypQpqo8khChBJPGJEkuv1/Prr7+i1WrZsmUL7dq1Q6PR4O3tjbm5eb7nLImJYcylS6Q9IuE9zALIjo5m9LlzzP7880deVwjx4vjnriwWLzy1Wk27du1YsWIF0dHRdOrUidmzZ1O9enXGjBlDZGRkrvY/37nDx4VIegBZgFmNGhzr0eOJPbz+/fvzySefAPDbb79Rr169Qn8mIYTpSeITv6antAAABmVJREFUz8XatWtxd3fH2tqaSpUq4e7uzuLFi3naAQY7OzsGDRpE3bp16d69O+bm5nh5efHaa6+xZMkSEhIS+L+LFx85tPk4OuBIcjKfLFlCq1atjO8nJSXxxhtv4Ovra3z+d1/r1q05d284tbCuXLmCSqUiOzv7qc4XQjwbSXyiyH311VeMHj2asWPHcuPGDW7evMnSpUvZv38/WVlZz3x9JycnZs6cSXR0NFOmTGHPnj1U9/Tkwt27T33NNL2e8Dt3jK8TEhLw9PTE1dWV4OBgGQIV4gUiiU8Uqbt37zJ58mQWL15Mjx49sLW1RaVS4ebmRlBQkHGZQtu2bfn++++N5wUGBhp7W4qi8OGHH1KpUiXKly9Po0aNOH36NN999x1BQUHMmTMHGxsbunXrhre3N02bNoW4OHK6doX+/eG33wwXzcqCzp3hr7/+DjAxEd56CxIScsWtAKdSUtApCvHx8bRv35769euzatWqfIdAf/nlF6pVq2Z8XbNmTebOnUujRo2wtrZm4MCB3Lx5E29vb2xtbfH09CTh3j3btGkDgL29PTY2Nhw4cOBZf+xCiEKQxCeK1IEDB8jMzKRr165PfY3t27ezd+9ezp8/T2JiIsHBwTg5OTFkyBD8/PwYN24cKSkphISEAFC7dm3KffMNhIZCv34wYwbcvg0WFtC6Neza9ffF9+yBxo3BwSHPfcuo1VyPj8fDwwN3d3f+97//FarA9saNG9mxYwfnz58nJCQEb29vZsyYQXx8PHq9noULFwKwd+9eABITE0lJSeH1119/6p+VEKLwJPGJIhUfH0+FChVy9ZJatmyJvb09VlZWxl/6j2Nubk5ycjJnz55FURReeeUVqlSp8sj2PXv2JN3REdRqaN8eXFzgzBnDQU9P2L3778a7dkGHDvleRwFuxcRw/vx5NBpNodcPfvDBBzg7O+Pi4kLr1q1xd3fHzc0NS0tLunfvzrFjxwp1PSHE8yGJTxQpJycn4uPjc03ciIiIIDExEScnJ/QFmHzSvn17Ro4cyYgRI3B2dmbIkCEkJSU9sv2KFStIGzDAMKx5f2jz/vM+NzfIzIQ//4QbN+DSJUMvMB8qwLV+fb788ku8vb0LnaicnZ2N31tZWeV5nZKSUqjrCSGeD0l8oki9/vrrWFpasnnz5se2s7a2Ji0tzfj6xo0buY6PGjWKP/74g8jISM6fP8/cuXMB8vTCoqKiGDx4MJXHjIHNmw3DnS+99HcDtRratjX0+nbtghYt4DE7Q5irVIwePZoJEybw5ptvcvr06QJ+8oIrCUW5hSjNJPGJImVvb89nn33G8OHD2bBhAykpKej1eo4fP05qaqqxXZMmTfjxxx9JS0vj4sWL/PDDD8ZjR44c4dChQ+h0OqytrSlbtixmZmaAoVd1+fJlY9vU1FRUKhW969alrFoN4eG5J7OAYWhzzx7YufORw5wAZoDdvSHacePGMXr0aDw9PZ962cKjVKxYEbVanetzCCGKjyQ+UeTGjRvHvHnzmDNnDpUqVcLZ2ZmhQ4cye/ZsWrZsCcCHH36IhYUFzs7O+Pv74+fnZzw/KSmJwYMH4+DggKurK05OTowZMwaAgQMH8ueff2Jvb0+3bt149dVX+fjjj/lfjx5kdOsGly9Dgwa5A3r1VShb1jDhxd0935jLqtV0cHDgwb7Yp59+yqBBg+jQoQOXLl0qsp9PuXLlmDRpEm+88Qb29vYcPHiwyK4thHgyKVkmXhg9IyPZfOsWuic3zaOsWs1ld3eqFNGuEEKIkkt6fOKFsahuXZwsLCjsE7RyajUL6tSRpCdEKSGJT7wwKllY8FuTJjhbWFDQOitWajWfuLoyxISb4AohipcMdYoXTlxWFkPPnSP8zh1UQMZD/8RVGHp5TubmzKtdG99KlUwSpxDCNCTxiRfWzawsvouN5fvr17mt05GtKFibmfG6nR1ja9SgTfnysrRAiFJIEp8QQohSRZ7xCSGEKFUk8QkhhChVJPEJIYQoVSTxCSGEKFUk8QkhhChVJPEJIYQoVSTxCSGEKFUk8QkhhChVJPEJIYQoVSTxCSGEKFUk8QkhhChVJPEJIYQoVSTxCSGEKFUk8QkhhChVJPEJIYQoVSTxCSGEKFUk8QkhhChVJPEJIYQoVSTxCSGEKFUk8QkhhChVJPEJIYQoVSTxCSGEKFX+H18/lptItk+6AAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -437,7 +415,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -446,7 +424,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 24, "metadata": { "scrolled": true }, @@ -457,7 +435,7 @@ "0.32" ] }, - "execution_count": 29, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -482,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -492,13 +470,13 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 30, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "biadjacency, movies, actors = skn.toy_graphs.movie_actor_graph(return_labels=True)\n", + "biadjacency, movies, actors = skn.toy_graphs.movie_actor(return_labels=True)\n", "biadjacency" ] }, @@ -511,30 +489,19 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 28, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "bilouvain = skn.clustering.BiLouvain()\n", + "bilouvain = skn.clustering.BiLouvain('python')\n", "bilouvain.fit(biadjacency)" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -553,7 +520,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -572,20 +539,9 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 31, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "BiLouvain(resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, engine='numba', verbose=False)" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Graph as undirected (ignoring the bipartite structure)\n", "bilouvain.fit(biadjacency, force_undirected=True)" @@ -593,7 +549,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -612,7 +568,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -638,7 +594,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -647,7 +603,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -656,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -670,7 +626,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -684,7 +640,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -695,7 +651,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -705,7 +661,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -715,7 +671,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -743,7 +699,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -772,7 +728,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -781,7 +737,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 45, "metadata": { "scrolled": true }, @@ -792,7 +748,7 @@ "0.573" ] }, - "execution_count": 48, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -803,7 +759,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -812,7 +768,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -821,7 +777,7 @@ "0.558" ] }, - "execution_count": 50, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -832,7 +788,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -841,7 +797,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -850,7 +806,7 @@ "0.569" ] }, - "execution_count": 52, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -861,7 +817,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -870,7 +826,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -879,7 +835,7 @@ "0.557" ] }, - "execution_count": 54, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } diff --git a/docs/tutorials/hierarchical_clustering.ipynb b/docs/tutorials/hierarchical_clustering.ipynb index 1e36a7e62..b3308125b 100644 --- a/docs/tutorials/hierarchical_clustering.ipynb +++ b/docs/tutorials/hierarchical_clustering.ipynb @@ -59,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -68,27 +68,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Paris(engine='python')" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "paris.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -104,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -113,9 +102,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", "show_ = show_dendrogram(dendrogram)" @@ -245,7 +247,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -268,7 +270,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -277,7 +279,7 @@ "0.33333333333333326" ] }, - "execution_count": 15, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -288,7 +290,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -297,7 +299,7 @@ "0.6514659468650328" ] }, - "execution_count": 16, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index 1f4c06979..538f9c51f 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -98,25 +98,14 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pagerank.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -132,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:54.855665Z", @@ -146,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -155,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -165,7 +154,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -188,7 +177,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -197,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -208,32 +197,21 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:53.130694Z", "start_time": "2019-07-15T12:29:52.704040Z" } }, - "outputs": [ - { - "data": { - "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pagerank.fit(adjacency, personalization)" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -249,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.518668Z", @@ -259,7 +237,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdd3zN1//A8dfn3kwkYsTeM8RIYrVq1t7UKFXttzViFG1Vqy3faktLzaKxN1VKpbRqi61WhCBFrRAEkSk3d3zO74/85CsSyc0dGZzn4+HR9t7P55wTvbnvz1nvowghBJIkSZL0ktDkdAMkSZIkKTvJwCdJkiS9VGTgkyRJkl4qMvBJkiRJLxUZ+CRJkqSXigx8kiRJ0ktFBj5JkiTppSIDnyRJkvRSkYFPkiRJeqnIwCdJkiS9VGTgkyRJkl4qMvBJkiRJLxUZ+CRJkqSXigx8kiRJ0ktFBj5JkiTppSIDnyRJkvRSkYFPkiRJeqnIwCdJkiS9VBxyugFS3qZLUgm7lkT8YxMAbvm1eFV0xtlJPlNJkpQ7ycAnWeTWXT1/Hojl4OkEtFoQIvl1RQFVhRb1C9ChmTulPB1ztqGSJEnPUIR48pUlSZlTVcGSTQ85cCoBo0mgqulfp9WARqPQtrEbA7oUQqNRsrehkiRJzyEDn2Q2VRVMXxHJucs6kvTmfWycHRXq18rHqP5FURQZ/CRJynlyIkYy25o/HnHukvlBDyDJIDh5/jG/7oy2Y8skSZLMJwOfZJbYeBM7DseSZMj6AEGSXrBlXyyPdc8ZF5UkScpGMvBJZtn7d5xVQ5WKAgdOxtuwRZIkSZaRgU/KlKoK/jgQi96C3t4TSXrBlqAY5JSyJEk5TQY+KVPRcSYSddYHrEcxJhKTZOCTJClnycAnZepxooqD1vpyHLQKjxPlPJ8kSTlLbmDP4yIi9WzZ85BDJ2N5nKgiBLi6aKhfuwDd2xShUlkXq+twcFCwxQilKpLLkiRJykky8OVR4XeSmLMygn9v6lBVgdH0v/cM8SaC/o7h0MlYShV3YsTbJalROZ/Fdbnl12AwqoB1QUtVBQVc5SCDJEk5S34L5UHnLz/m48nXCPs3Eb0hddB7QlVBbxBcv5XE+Jk3OHI6Jkt1GI1GgoKC+Pjjj6lbuzpRd05b1WZFAd8arrLHJ0lSjpOBL4+5flvHVz/eIDFJxdzRxyS9YPqSCM6GJWR4XUxMDBs2bODtt9+mePHifPLJJ3h4eLBx40amjO+Ai5PlQcvJUaFri4IW3y9JkmQrcqgzDxFC8P38W+gsWBmpNwi+WxDOmunVU/W6rl+/ztatW9myZQt///03TZs2pWvXrkydOpXSpUunXKeqAlcXDTp9Ot1LMxQsoKV6RWeL7pUkSbIlGfjykEvXdTx4ZLD4fpNRcOxMDM7iMlu2bGHLli1ERETQuXNnhg8fzubNmylQoEC692o0CmPfK8bEgLtZ3s/n7JR8r8zVKUlSbiCTVOchUxaEc/h0nFUrLBOiw7h3fjxdunSha9euvPLKK2i15u9VOPtPItNWRJqdr9PFSWHcoOLUrGz96lJJkiRbkIEvj1BVQY/hFzFZNtKYwkELK36ohoe75Z3967eTWLIpimu39aiqwPTM1jwHLSiKQtVyTgzqWYQyJZysa7QkSZINyaHOPOKxTrVyM0EyR0cN0XFGqwJfhdLOTBpVkjv3Dfy0KoSwG1ryFSgMQGx0JA393BnQoxLFi8hDaCVJyn3kqs48wmQSKDY4zFUBjEbbdPJLejqiidlCjYK/seq78qz6rjz5Y2ZT1OGoDHqSJOVaMvDlEfldtTYJWCZVUCCfDfKP/b+TJ09Sv379lP/28/MjODjYZuVLkiTZmgx8eYSDg2KTuTInRw2ehW3TGxNCpAl8vr6+nD5t3WZ3SZIke5KBLw/p1b4oLs6W/y9zdFTo0qowWq1tthWEh4ej1WopVapUymu+vr6cOXMGVZXJqCVJyp1k4MtDmjZwB7PztaRDQIdmhWzWnie9vaf35xUqVAhPT08uX75ss3okSZJsSQa+PMTJUcPb3YrhbEHqMGcnhfbNPChU0HYLeZ8d5nxCzvNJkpSbycCXx3RrXZhWjT2yFPycnRTqVM/PoDdL2LQtzwt8cp5PkqTcTAa+PEZRFIa9VYJe7Yvi6KCgUZ4/l6bVgGpKomKJaMZ/UBatDbZDPPFkYUu9evXSvOfn5ycDnyRJuZbM3JKH3Y8y8O6wBTgXao6jY+oVnyZV0OpVD0q4X2H0iLc4f/487u7uNqv76tWrNG/enPDw8DTv3bt3jxo1avDw4UOZn1OSpFxHZm7JwxLj73B8z9dcvXaTm3cEcQkmhIAC+bRUq+j6/ytAS7JtSzs+//xzfvrpJ5vV/bxhToDixYvj6urKzZs3KV++vM3qlCRJsgUZ+PKw5cuX07dvX9zd8lHL7fnXTZs2DW9vb/r370/jxo1tUndGgQ/+N88nA58kSbmNnOPLo0wmE8uWLWPQoEGZXluoUCFmz57N4MGDSUpKskn9mQU+Oc8nSVJuJQNfHrVnzx48PT3x8fEx6/revXtTqVIlpk6danXdqqpy6tSpdBe2PCEDnyRJuZUMfHnUkiVLGDhwoNnXK4pCQEAAc+bM4eLFi1bVfeXKFQoXLkzRokWfe42vr6/cyydJUq4kA18edP/+fXbu3Em/fv2ydF/ZsmX56quvGDJkiFUpxTIb5gQoV64cSUlJ3Llzx+J6JEmS7EEGvjxozZo1dOvWDQ8PjyzfO3z4cAwGA4sXL7a4fnMCn6IoMoOLJEm5kgx8eYwQgiVLlpi1qCU9Wq2WxYsXM378eCIiIiwqw5zABzJ1mSRJuZMMfHnMsWPHMBqNNGnSxOIyateujb+/PyNHjszyvSaTieDgYPz8/DK9VqYukyQpN5KBL495sqjF2owo48ePJzQ0lMDAwCzd988//1CiRAkKFcr8lAe5slOSpNxIBr48JC4ujt9++4133nnH6rJcXFxYtGgRH3zwATExMWbfZ+4wJ0CVKlV4+PAhUVFRljZTkiTJ5mTgy0PWr19PixYtKFHCNqcsNG/enA4dOvD555+bfU9WAp9Go8HHx4czZ85Y2kRJkiSbk4EvD7FmUcvz/PDDDwQGBnL48GGzrs9K4AM5zydJUu4jA18eERoayq1bt2jXrp1Nyy1UqBA//vijWenMjEYjISEh+Pr6ml2+nOeTJCm3kYEvj1i6dCnvvfceDg62zyveq1cvqlSpwpQpUzK87sKFC5QrVy5LxxvJwCdJUm4jz+PLA5KSkihTpgx///03lSpVsksd4eHh+Pr6cvDgQWrUqJHuNcuWLWPfvn2sXr3a7HKNRiMFCxbk3r17FChQwFbNlSRJspjs8eUBv//+O3Xr1rVb0IPkdGYTJ05k8ODBz01nltX5PQAHBwe8vb0JCQmxRTMlSZKsJgNfHmCPRS3pGTZsGCaTiUWLFqX7viWBD+RwpyRJuYsMfLnctWvXOH36NN27d7d7XU/SmU2YMIHbt2+nek+v1xMaGmr2MUhPk4FPkqTcRAa+XG758uX0798fFxeXbKmvVq1aDB06NE06s9DQUCpXrkz+/PmzXKbM2SlJUm4iA18uZjKZWL58eZbO3bOFL7/8kgsXLrB58+aU1ywd5oTkYHrp0iV0Op2tmihJkmQxGfhysZ07d1KqVCnq1KmTrfW6uLiwePFiRo4cmZLOzJrA5+LiQtWqVQkNDbVlMyVJkiwiA18ultVT1m2padOmdOrUiXHjxgHWBT6Q83ySJOUett8NLdlEZGQke/fuZfny5TnWhqlTp+Lt7U2vXr0ICwuzqufp6+sr5/kkScoVZI8vl1q1ahU9evTIUpYUW/Pw8GDOnDkMGjSIqlWr4urqanFZsscnSVJuITO35EJCCGrUqMHSpUt57bXXcrwtPj4+aLVaqwJXXFwcJUqUICYmxi5p1yRJkswle3y50OHDh1EUhcaNG+d0U1AUBS8vLy5fvsyFCxcsLsfNzY2yZcsSFhZmw9ZJkiRlnQx8udDSpUsZNGiQ1aes28rFixcZMWJEhunMzCGPKJIkKTeQgS+XiYmJYfPmzQwYMCCnmwLA48eP+ffff5k4cSIACxcutLgsOc8nSVJuIANfLvPLL7/QunVrihUrltNNAeDMmTN4e3un7O3773//myadmblk4JMsZTQJohNUHsSqRMWrJOjk0gTJcnKVQS6zdOlSvvnmm5xuRoqn9+/VrFmT4cOH88EHH6TK6mIuX19fQkJCUFUVjUY+c0mZi0sUXL9vIiJKoHlq5F8V4OoElYprKVlIQavJHdMCUt4gv31ykZCQEO7evUubNm1yuikpnt24/sUXXxAWFsZvv/2W5bIKFy5MoUKF+Pfff23ZROkFZFIFp64aOfKPkVsPBaoAo/q/P6qAhCS4cMvEnnNG7sdaPvcsvXxk4MtFnpyyrtVqc7opKZ4NfM7OzixevJhRo0YRHR2d5fLkcKeUGZMqOHbJyIPY5ICX8bXJf05fNXHnkSl7GijleTLw5RI6nY6ff/6Z9957L6ebkiIuLo6bN29Ss2bNVK83adKEzp0789lnn2W5TBn4pIwIITh9zUS8jkyD3tNUAWdvqDyKlz0/KXMy8OUSmzdvpl69elSoUCGnm5IiODiYOnXqpLvhfOrUqfz5558cOHAgS2XKI4qkjEQ/FjyKz7ynlx5VwIXbstcnZU4GvlwiJxNSP09GiakLFizInDlzGDJkSJaOG3qyl08mDJLSc+2eismKTlt8IsTLFZ9SJmTgywX+/fdfzp49S7du3XK6KalkdiLDG2+8QY0aNfjuu+/MLrNkyZI4OjoSHh5uiyZKL5Akg+B+rHVBSxVwLVL2+qSMycCXCyxfvpwBAwbg7Oyc001JxZyjiObNm8f8+fM5f/682eXKeT4pPdEJqbcsWOqBlcFTevHJwJfDjEZjjpyynpno6Gju3LlD9erVM7yudOnSfPPNN1lKZybn+aT0GExgi5BllB0+KRMy8OWw7du3U65cOby9vXO6KamcPn0aX19fs7ZW+Pv7o9FomD9/vllly5ydUnpslZo2l6S4lXIxmbklhy1ZsoRBgwblaBuEENy4D+duQNzj5A3Ckfcq0/KNz3icJMjnnPE3iUajYdGiRTRr1oxu3bpRpkyZDK/38/Nj5MiRtvwRpBeAkwPYImY55p5tsFIuJc/jy0F3796lRo0ahIeHU6BAgWyv36QKgq/CqSugNyYPNaUijGi1DlQoBo1rgKd7xl9LEydOJDg4mMDAwAxPlhBCUKRIES5evEjx4sVt8JNILwKTKthzzmjVqk6NApVLaKhSQkY/6fnkUGcOWrlyJT179syRoKc3CDYehiMXk1M/pQl6AIoDJhX+vQvrDsDVuxk/I33++edcvnyZTZs2ZXidoij4+vrKeT4pFa1GoWwRxepeX9ki8mtNypj8hOQQIUTKuXvZzaQKNh2Fu9HJw5rmMJrgj5Nw8/7zg5+zszOLFi1i9OjRPHr0KMPy5MpOKT3lPbVWzdEVdVdwdpSTfFLGZODLIQcPHsTJyYlGjRple91HLsL9GLI8pGQ0we/Hk/dbPU+TJk3o2rVrpunMZOCT0pPPWaFyCQ1aC76ZHLXgXUYOcUqZk4EvhzxZ1JLdp6wbTYIz183v6T1LCDh/M+NrpkyZwrZt29i/f/9zr5FbGqTnqVxcQ5kiCuaeXKWQHPQaVXXAxUn29qTMycUtOSA6OpoKFSpw5coVihYtmq11XwgX7Al5zpyemQq4wOC2ZBi0AwMD+eyzzwgJCcHFxSXN+6qqUrBgQW7evEmhQoUsb4z0wrr5wMQ/t03ExSfgmi/tPLhC8tYFj/wKdcprcZVBTzKT7PHZWfxjEzci9PxzTcfNO3oe61TWrVtHu3btsj3oAQRftS7oASQZ4E7GU3h0796dWrVqMXny5HTf12g01K1blzNnzljXGOmFVa6olvvnN7Hr11kUzKekmvtz0EJ5T4WmNRxoVNVBBj0pS+Q+PjsQQhB2LYkt+2I4eykRB23yL60QyfNkUbfdGNB7RI60Lfax9WUoSnI5pQpnfN3cuXOpW7cub775JrVq1Urz/pN5vpYtW1rfKOmFFBDwE2PGjKFx9eSvKlWI/+/pyUAnWU4GPht78MjI5EX3eBBtJEmfPIpsMKYeTc7v+SrbTjpw7lYEnw8qjnuB7JuQt2aP1BOqMK/XWKpUKSZNmsTgwYM5dOhQmiwwfn5+7N692/oGSS+kkJAQbty4QZcuXVJe08iAJ9mAHOq0oYj7BsbOiODOfUNK0EuPRqNFbxBcj9AzdkYEUTFGu7YrJiaGw4cPs2DBAh4nxFhdnkYBZzMfmQYPHoyjo2O66cxk6jIpI/Pnz2fIkCHpngcpSdaQi1tsJDbexCfTbxMTr5KVv1GNBooVduCHj0vh4mzdc4jBYOCff/7h7NmznDt3LuXPw4cPqVmzJrVr18a79XjIVx5rkkM5aKB/CyjiZl4ZYWFhNG3alNOnT1O2bNlU7S1YsCD3798nf/78FrdHevHExMRQoUIFLly4QMmSJXO6OdILRj5K2cjW/THEP85a0ANQVYiKMbH3eBwdmxY06x4hBOHh4amC27lz57h8+TLly5endu3a1K5dm4EDB1K7dm0qVaqE5v/Xht+IFGw5bt0Cl8Ju5gc9AC8vL0aOHMmIESP4/fffU+ZnHB0d8fb2JiQkhMaNG1veIOmFs3r1atq2bSuDnmQXMvDZgNEo2HUkzuLjUPQGwdagWDo0cU8zaR8dHZ0mwIWGhuLq6krt2rWpU6cObdu2ZcyYMdSoUQNXV9cM6yrnCU6Olgc+RwdoWDXr940bNw5fX182btxI7969U15/sp9PBj7pCSEEAQEBZp/2IUlZJQOfDRw/9xjVygHj+McqW3ddIO7+mVRDldHR0Xh7e6f04vr06UPt2rUt3gqhKAqNvQT7zmX93DIFcHGEyhY8hDs5ObF48WJ69epF69atU/bu+fr6cuLEiawXKL2w9u/fj6IoNGvWLKebIr2g5ByfDfy4JpLDwdbtExCqyoNrGynmfColyNWuXZsKFSqkDFPa0u4QwYXwrAQ/gbOjQv/myRuGLTVixAj0ej2LFy8G4Pjx4/j7+8ssLlKKPn360Lx5c0aMyJktP9KLTwY+G/hmwV1CL+usLqd5/fyM6OdpgxZlTgjBwQtw5lrmwU81JmEyJjKkkweFCli3nDw2NhZvb2/WrFlDo1eb8e/dJEL+uUfRYiUQKGg1UCi/QsViWgrlV+R+rZdMREQE3t7e3LhxA3d395xujvSCkkOdNqC10XezRpN9X/KKotDMG6qUFJy8ApdvG0AIFK1T8vskZ8dwcQTvMirvvtGEekV+pHXr1lbV6+7uzrz5Szh1zYTOQ4+ChsKeJVOGio0muB8riIo34qiFGqW1FPeQiYdfFkuWLKFv374y6El2JQOfDXi4W//FrChQ2AblZFWpwgpdG0L9Rq0ZP2UFniUqYjSBqxOULAxlioCi5GPenJkMGjSIs2fPWvWlFJeoUqB8S6qXNCKEwvOGG0xq8p+QGyaq6QUVismP6ovOYDCwaNEitm3bltNNkV5wcgO7DTTxK2B1VnhHB4VGdfLZqEVZc/v2ba5dOU+XZuV5rYZC81oKDasplC36v6HGdu3a0aZNG8aOHWtxPTq94PgVIwYTaLXmBTJVwKU7KrejrEwwKuV6W7dupWLFitSpUyenmyK94GTgs4HaVV2s3nxeoogDFUo726hFWbNjxw7atGmTJqXYs2bMmMH27dvZuXOnRfWEhhst2vKhCjgfbkJvlNPRL7KAgACGDx+e082QXgIy8NmARqPQpbk7Thae/OzspND1dfM2r9vDjh07aNeuXabXubu7s2TJEgYPHkxMTNZSn+n0gqh48dyhTXPceih7fS+qsLAwQkNDeeONN3K6KdJLQAY+G2nXxI0SRR3QKFn7and0gMplnXjNJ2dSdplMJnbv3m1W4ANo06YN7du355NPPslSPTceWBe0VAHX76vIRcgvpgULFjBw4ECcnXNm1EN6ucjAZyNOjhre72wkITYcjWLeEQhOjlC2hBPjBhZHa6uloVl04sQJSpcuTalSpcy+Z9q0aezatYsdO3aYfU9ElGr1Jn+TCrGJMvC9aBISEli9ejVDhgzJ6aZILwkZ+Gzk0aNH9O7ZkebVQ6hfqwCODsm9ufQ4aFUcHaCxT36+HVnS6vlBa2zfvp327dtn6R5LhjytPfwWkrdYJBmsL0fKXdatW0eTJk0oX758TjdFeknIDew2kJSURLt27fDx8WH27NkARMUY2XU0jh2H40hIVNFqwGBUwRRP8fyX+f7L7rjlz/n9aa+++iqTJ0/m9ddfz/K9Q4cOxWg0smTJkkyv3RGiz3IC72c5aKBWOQdKeMjntReFEAI/Pz+mTJli9nC7JFlLBj4rqapK//79MRgMrF+/Pt2VkUaTQJek8s3EL3nwIJLQ0FCOHz+eA61NLSoqigoVKnD//n2L5lbi4uKoU6cO8+fPz7TXuPuc3uIk3k84aMC3ogNF3GTge1EcO3aMt99+m0uXLtklNZ8kpUd+0qz0+eefc/PmTVavXv3c7QAOWoUC+bTUrOlFYmIily5d4t69e9nc0rR2795N8+bNLV5Q4ObmxpIlSxgyZAjR0dEZXlson/VzmKoAd1eZwuxFEhAQwLBhw2TQk7KV/LRZ4aeffiIwMJAtW7ZkehwQQI0aNbh8+TKtW7fmr7/+yoYWZmz79u1WDy+1atWKzp078/HHH2d4XcXiWrRWftpKeCg4OsjA96J48OABW7du5T//+U9ON0V6ycjAZ6HAwEAmT57M9u3bKVKkiFn3eHl5ERYWRocOHfjzzz/t3MKMCSHYsWNHlhe2pOeHH34gKCgow1RThfIrOFoxpalPSiTu3kXLC5BynWXLltG9e3ezf38kyVZk4LPAsWPHGDx4MFu2bKFixYpm31ewYEHc3d2pW7cuu3fvxmDIuSWKoaGhuLi4UKVKFavLKlCgAEuXLsXf3/+5Q56KolCjtBZL8nBrFCApil7d2vHBBx9kefO8lPuYTCYWLFggM7VIOUIGviy6fPkyPXr0YOXKldSvXz/L93t5eREVFUWVKlU4dOiQHVpoHku2MWSkZcuWdO3alY8++ui51xT30FKlhII+yfwjnDQKFHCBTk0qcP78efR6Pd7e3mzcuFFuZs/DduzYQZEiRWjQoEFONyUNYTDw+OQhHiyZTuSsCUTO/i8Pls4kMeQ4wiSzB70Isn1Vp9Gocjz4EXcjdeiSVPK5aqlSMT/e1d1z/dlrkZGRNG7cmM8++4zBgwdbVMaIESOoVq0a0dHRxMXFMX36dBu30jytW7dm1KhRdO3a1WZlxsfHU6dOHebOnUunTp3SvWbkyJFcCo/lo68WJB9JkcGzl0aBIm4KPhUc0D7VVTx06BD+/v5UrFiRn376Se7/yoM6d+5Mz549ee+993K6KSlM8bHE7d5CwuFdIATimQc0xdkFtA4UaNYet9c7o3HNmaTykvWyLfA9eJjE5r8i2PRHBKoqMJoEqirQahU0CngUdKJ/zzK0bVGCfK45v7/tWQkJCbz++uu0bduWb7/91uJy5s6dy4ULFxg4cCADBgzg4sXsn7dKSEigRIkSRERE4ObmZtOyg4KCGDBgAGfPnqVQoUKp3lu1ahVDhgxhzJgxfPX1JAKWb6ZS7Ra45ivA0488qoDiHgoVPbW450s/MOr1eqZPn87MmTP5/PPPGT16NA4O8uiivODatWs0aNCAmzdvki9f7ggehsg73P/xK9TH8WA0ZnyxgyNaj8J4jpqIQyE5P5kXZUvg23/0Ad/OuIiqCvSG51fn4qzBxVnLnO/qUql8zuSuTI/RaOSNN96gUKFCrFixwqqe6e7du5k0aRJ79+6lVKlSHD58mMqVK9uwtZn7888/mT59Ovv27bNL+R988AHx8fGsWLEi5bXjx4/TokUL6tWrx/79+9Hr9ZQpU4bjx09QuHh59MbkgOeoTd6yYO7qzStXrjBs2DDu37/PokWLaNiwoV1+Jsl2xo0bh8FgYMaMGTndFACMjx4SOWUsamICZmdZ0GjQuntQbNw0tPlt+/Ao2Z/d5/h27b/HN9MvoktSMwx6ALoklZg4A0PHBnPlWry9m2YWIQSjRo0iMTGRxYsXWz0c+2Rlp0ajoWPHjjmyutPW83vPmjJlCgcPHmTr1q1A8nl/HTt2pECBAgQGBqLRaAgMDMTHx4dKlSrikV9DsYIaSnhoKOKmydKWhSpVqrBz507Gjh1Lt27dGDlyJLGxsfb60SQr6XQ6li1bxtChQ3O6KSkeLpiCqntsftADUFVMcbFELZtlv4ZJdmPXwHfxUixT5lwiSW9e0mZI/uw9TjQx+ssQYuNyPjHjDz/8wOHDh9m0aRNOTk5Wl1e6dGkeP37Mo0eP6NSpU44EPnOPIbJUgQIFWLZsGcOGDSMiIoIOHTqg0+nYunVrytL1pUuXMnDgQJvUpygK/fv35/z58+h0OmrWrMmmTZvk4pdc6Ndff8XX15eqVavmdFMA0F+/gvHBXVDN/45KYTKSdPUfjPfv2r5hkl3ZNfAtWXs9S0Hvabokla07c/YDtXbtWgICAti2bRvu7u42KVNRlJReX5s2bThy5Ajx8dnXu7169SpxcXHUrVvXrvU0b96cHj160LhxY27dusXkyZNp1KgRANevXyc4OJgePXrYtM7ChQuzePFi1q1bx4QJE+jatSs3btywaR2SdXLbYbNxe7ciDHrLCxCCuP05n4xCyhq7Bb77D5MIPpdxGquMJOlV1geGo1p7lo2F9u7dy0cffcSff/5J6dKlbVq2l5cXFy9exN3dnYYNG7Jnzx6blp+RHTt20LZt22xZQVukSBHCw8OpVq0ao0aNSnl9xYoV9OvXDxcXF7vU27RpU86cOUOjRo2oV68eM2bMwJjZggXJ7k6fPs3t27efu+I3u6lJOhLPnczaEOezTEYeH92LsKTHKOUYuwW+wL8irDptGyBRp3LizCObtOd/ZZq490DP7btJxMQZ0x0OO3fuHH379mX9+vXUqlXLpvVDcuqyJ6s5s3u401hd1TkAACAASURBVN7ze09s3ryZuXPnUqxYMW7cuMGjR8n/H00mE8uXL7fZMOfzODk5MX78eI4ePcpff/1FgwYNOHHihF3rlDI2f/58/P39c83qW1PMI5Tn5NfNCmEypdn6IOVudvsEhoTGYMhkMUtmkvQmLv0bTyO/wlaVo6qC4AvxbNr+gPOXE3DQKiiKgtEkcCugpUfborRtUogC+bTcunWLTp06MXv2bFq2bGlVvc/j5eXFsmXLgOTAN3PmTIQQdu+F6fV6goKCWLp0qV3rOXv2LAMHDkRVVbZv386yZcsYPXo0q1evZs+ePRQtWhQfHx+7tuGJqlWrsmvXLtauXUuXLl3o06cPkyZNstnQtWSe6Ohofv31V8LCwnK6KSmEPun/95JaR9FokgOf3NeXZ9itxxeXYP3QkqpCjJULXMKuPubdT//hu/nhhIQlYDSBTi9ITFIxGAVR0UbWBN5jwJgwFq+7QadOnRgxYgRvvfWW1e1/nqd7fNWqVcPV1ZWQkBC71ffEkSNHqF69OkWLFrVbHZGRkXTt2pV8+fIxY8YM6taty3fffcfRo0fZsmWLTRe1mEtRFN5++23Onz/P48eP8fb2ZvPmzXLxSzZauXIlHTp0oESJEjndlBQaF1fLFrU8Q5hMKC6ZJ6mXcg+7BT5nJ9sUnc/F8qGIU6FxfDH9GlHRRnRJz/+AJ+mT9xdu3vWAao0m8sknYy2u0xyVK1fm1q1b6HQ6FEXJtuFOe6/mTEpKomfPnri5udG6dWvef/99APLnz8/y5cvx9/dn+/btdn2oyEiRIkVYsmQJa9eu5YsvvqB79+7cvHkzR9ryMhFC5LpFLQDagoUyv8gMGhfX5KwuUp5ht8BXsoSL1aMIqknHpl+XM2fOHIKDgzFlIU/elRuJTA64SZLe/Kd6ReOMyaEaS3+171l5jo6OVKxYkcuXLwPZN89nz/k9IQTDhw8nPj4eIQQzZgdwLxrCHwjuRQvqN2pCtWrVKFSoEB4eHnZpg7maNWvGmTNnqF+/Pn5+fsyaNUsufrGjvXv34uTkRJMmTXK6Kakojk7ka9AUNFbM8zk4kr95h1yfblFKzW6Br0eHUrg4W1e8s4srPTpXJTQ0lLfeeovChQvTvn17Jk+ezIEDB0hMTHzuvfNW385S0HsiSS/4a38UdyKTrGl6pp5saYDkL+Lz58/z4MEDu9V39+5drl+/nrKlwNZ+/PFHDh48iDZ/ecbNPsbPh1z57ShsPQ6bjsCSneDX4SuKlfdlc2CgXdqQFc7OzkyYMIEjR47wxx9/0LBhQ06ePJnTzXohBQQEMGLEiFwZHAq06ARWLHBRVRMFmrSxYYuk7GC3wFfXuyDubo4W3y+EiTpeGgYNfJtFixZx8eJFrly5wtChQ4mKimLs2LF4enry2muvMW7cOP7444+UlYM3I3TcuG154FJVwe97Hlp8vzmenudzdnbm9ddft+vhtDt37qRVq1Z2WVG3Y8cO5i9eQ9+xfzFg7AYePM6PSQW98X9/TCqU9WrO22N+5eSd6oRHRNm8HZaoVq0au3fv5qOPPqJz586MHj2auLi4nG7WC+PWrVvs27eP/v3753RT0vUQLeejE9BbsG1K1WjZE36fd4d/YNeHVsn27Bb4FEXh7V5lLe71OTgoBP4yloEDB3L3bvJGdk9PT7p3786MGTP4+++/uXfvHt988w2urq7Mnj2bcuXKUadOHcZO/B2DwfJJa6MJdh2KtnjzvTlq1KiRaoWbvYc77TW/FxYWxuhPJjLwqz0U8iyPUJ7/sKPRaFDRUqRkVX45pCXmce5YXKIoCgMGDOD8+fPEx8dTs2ZNAnNBr/RFsHjxYt566y2bJ0O3hZ07d+Ln58eJ0t64ehYHbRYeCh0ccS5Zlt7LNlG8eHFq1arFunXr5IKpPMKuSapVVfDZt6GcPpu1IOLirOHdN8vTrZ0HkyZNYtmyZXz22WeMGjUKZ2fn595nMBg4c+YMk5doMJief5058rlomPBBOep4FbCqnOc5ceIEQ4YMITg4GICIiAhq1apFZGSkzXtlqqpSvHhxTp06Rbly5WxWblRUFC1e78Dbn2/HwdkNTRbmSlSTEUeNniEd8+HsmLuGwPbv34+/vz9eXl7MnTuXsmXL5nST8iSDwUD58uXZtWsX3t7eOd2cFHq9nvHjx/Pzzz+zevVqWrZsiSk+lgfzvsV4/27yNocMKE7OOJatRNGh45JXhpKchH3gwIFUqFCB+fPnU6ZMmez4USQL2TVlmUajMOlzb+rWKoizmT0/Z2cNfbuX4e1eZXF3d+eHH37g6NGjHDhwgFq1arF169bnPlU5OjrSoEEDFI1tVljFJdjv0EkvLy8uXbqE+v/LqUuVKkWFChU4cuSIzes6ffo0np6eKUFPCMGN+4JNRwTz/hTM2iL4catg8Q7BsX8Ej5MyfxYyGo28+eabtO3zGRqtS5aCHoBG64DOoHDsQoJFP5M9NW/enJCQEPz8/PD19WX27Nly8YsFAgMDqVatWq4KelevXqVp06ZcvHiRM2fOpOzV1RZwp9iY7/DoPRCHYqVQnJxT7/HTaFAcnXAsXYFC/fzxHPnflKAH0LBhQ06dOkWDBg3w9fVlwYIFKb/bUu6TLccSmUyC9b/f4uffwknSqyQmpg4oGg04OWooUcyFIQMq0uzV9PeZbd++nY8++ojy5csza9YsatSoke51PYadz/QkiMzkc9Hw4Xulea1eQavKyUiZMmU4dOgQFSpUAGDChAno9XqmTp1q03omTZpEVFQUM2fOJOyWYH8oJBnAkE5cd9CAACoWhzY+kM85/d7YqFGjuHAxjNYDN+CSz/K/I31iNGP7eOTKhQ8A//zzD8OGDSMmJoZFixZRr169nG5SntGyZUuGDRtGnz59cropAKxfv56RI0fy5ZdfMmrUqAw/c/obV0i8cAY19hELFi5iyMdjcPdrjGOpzEdMzp8/z6BBg3BycmLx4sVUq1Yt03uEEIjYB4jHcWAygqMTGrciKPly3xDxiyBbT2A3mQTHg6P4dett7tx9cgK7huqV3ejTvQxeVTL/n2wwGAgICGDSpEn079+fr776Ks2Bp299dJGYOOt6a/Ye6gRo06YNH3/8MR06dADg2LFjDBo0iNDQUJvW07RpU8aPH49b+bacuJw8h5kZjQL5nKFvUyiYP/UXxKJFi5g5cyb1m/fFr91naBws72HrdfGUcgjh7Tdy11L3pwkhWL16NZ9++il9+/bl22+/zZVzVrnJhQsXaNWqFTdu3LDJqSbWSEhIYPTo0Rw4cIBffvkFPz+/LN1fsmRJTp48maWcvSaTiXnz5vHtt98yduxYxowZk+4UhjAaMIWHYbxyGnQJoGhIfvRUQDWhFC6JQ9V6aIqVy7UPh3mR3c/je5pWq/Bq/SLM/LoO6xY2ZPOKV1g7vyH//aSGWUEPkoczR48ezYULF9DpdNSoUYOFCxem2uPX2M8drZU/mRDgVdm+KYie3tIA0KBBAyIjI216okB0dDRnzpyhYPmWZgc9SD4UNkEHvxyExKe2hezfv58JEybQvn17ipZvaFXQA3ByKcD2/Re5f/++VeXYk6IovPPOO4SGhhITE4O3tze///57TjcrV5s/fz6DBw/O8aB39uxZ6tevj16v59SpU1kOegCFChUiOjprCfe1Wi2jR4/mxIkT7Nmzh4YNG6bM5z+hPrhF0valGEMPQUJMck/PqAejIfmfqgnx4BaGE9vQ712L0OW+aYG8KlsDny15enqyYMECtm/fzs8//0y9evUICgoCoHubomi1lj8dOWihbdNCODna96/n6S0NkPzL0qFDB5uu7tyzZw+t2nXn2CVHs4PeEwJ4nAT7zib/99WrV3nzzTcZM2YMGzZs4JXGtsllWqN2PT744AOblGVPRYsWZfny5axatYpPP/2UHj16EB4entPNynXi4+NZu3YtQ4YMybE2PMkW06pVK7744gtWrVplcS/dw8Mjy4HviYoVK7Jjxw5Gjx5Nu3bt+OKLL9DpdJjuXUd/dEtygDNlkpbRaEDER5O0bx0iMXcc0J3X5dnA94SPjw9BQUF8+eWX/Oc//6F3794YdXeoUMbynoiiUejSqogNW5m+Z3t8YPttDTt27KBpl1GZX/gcqoBLEXD/YSxdu3Zl5MiRzJo1i9WrV+PqaptFRD51ahMSEsLGjRttUp69tWjRgrNnz+Lj44Ovry8//vhjlrIKvejWrl1LixYtcmxlY1RUFD179mTJkiUcPnyYAQMGWFWeh4dHyh5hSyiKwrvvvsvZs2e5fPkyPdu1RHf0j+QenrmECvpE9Ic2IbJyn5SuPB/4IPmD1bt3by5evEidOnWoX78+2vhAnJ0s6PUJPY/C/0AXf9v2DX3Gsz0+gLZt23Lw4EEeP35sdflCCHbt3otDIV9MViwwUxTBhGm/0LhxY7Zv386wYcNo1aoVBWwQ9xSgYAEHVqxYwciRI3P1kOfTnJ2d+eqrrzh8+DCBgYE0atSI06dP53SzclxO5+U8dOgQvr6+lC9fnqNHj5q1sCQzlgx1pqdEiRL8+uuvBHz4HopqQfASAqF7jHr7stVtedm9EIHvCVdXVyZMmEBwcDB3bp7m4uFxaDXmP4mrJh2v1fOgZ9t8vPrqq+zcudOOrU3+RdDr9amyPnh4eODn58e+ffusLj8sLIwyVV/N8laDZxlNCiWqtqFgwYLky5eP8ePHA1C9DDhaeZyZVgvVSsErr7zCgAEDGDFihHUFZrPq1auzd+9eRo4cSYcOHfj444+Jj395h6OOHDmCTqfj9ddfz9Z6TSYTkyZNolevXvz000/MmjUrwz2/WWHNUOezhC6B4loDGo2FX70mA8ZLMrWetV6owPdE2bJlWbt2LUsCxnHvwjeohiicHJ+/eNXZScHJUcFde4bT+z5j5MgP2LBhA//5z3+YMmWK3bIxKIqSJoMLJA93/vHHH1aXv337dho1bmnVAdNPuBcuwfr161mzZk3KL23pwuBi5doF93xQzCO5Z/7NN99w7tw5fv31V2ubm62eDGWdP3+eqKgoatasyZYtW3K6WTkiICCAYcOGWf7FboGIiAjatGnDnj17OHXqFJ07d7Zp+dYOdT7NeN36FdsiMQ71kX0T6b/oXsjA98Rrr73G0QO/0qvZFUIPjsVJXEOrSQ50Ls4KDloFz8KOvNezOGtnerFy3ttcv3aNWbNm0axZM44fP05gYCC9e/e2W/7G5wW+P//80+qAu2PHDmrXrostwnbiYx2//PILnp6eKa8pikK9KuCgsawGBy00qPK//3ZxcUkZ8oyMjLS2ydmuaNGirFixgpUrV/LJJ5/wxhtvcOvWrZxuVraJjIxk27ZtvPvuu9lW559//omfnx8tW7Zk9+7dWdpyYC5bDXUCqPdugGrlfLBQUaPu2KQ9L6sXOvBBcn7IgQPf59SRDVQpfICjgW3xLbOXmV+UZ81ML5ZPrUaXVkXJ56rFxcWFjRs3MnXqVA4cOECZMmXYv38/hQsX5pVXXuHSpUs2b5+Xl1eaeb4aNWqg1Wqt2s+XmJjI4cOHqVvbC40Ntv+4OGlo3LhxmteLOt3lbvh51MxWpj1DqAZKeED1Z76nGjVqxLvvvsvw4cPzbN7Dli1bcvbsWWrXro2Pjw9z5sx5KRa/LF26lJ49e6bZV2sPSUlJfPTRRwwfPpyNGzcyYcIEtFacspARW/b4MNjg1BdVReh11pfzEnvhA98T7u7uTJs2jcOHgjh+dCetW/gStHdbmusqVKjAypUr6devH3fu3MHZ2ZlFixbx4Ycf0qRJE7Zu3WrTdqW3wMUWh9MeOHAAHx8fKpfJZ9XCFkjOq1mzknua18+ePctrjV/BOeovPD0czd47qVVU7oVf4G7IIjTpROWvv/6aCxcusGHDBusanoNcXFz4+uuvOXToEJs2beKVV15Js4/rRWIymViwYEG2LGq5fPkyjRs35vr16wQHB9v9nD9bzvFhgyFgAQjkZnZrvDSB74lq1aqxdetW5s6dy6effkqHDh3SBJ727dvj7+9Pnz59MBiSezKDBw9my5YtDB8+nK+++spmefjS29IA0LlzZ6sC3/bt22nXrh1urgpl088AZzYHBw31q6R+bdu2bbRu3ZqpU6cy4ctP6dcMqpYCrSY57Vm65WiT369RVsOgjgWZ+v0kVq5cmea6J0Oeo0eP5t69vD2X4eXlRVBQEMOHD6d9+/aMGTPmhVz8sm3bNkqWLGnRBvGsWLNmDY0bN+b999/nt99+o3DhwnatD2w71CmcrU+KkZik54Mxn9KwYUP8/f2ZP38+x44dIyEh929wF0Y9hqg76CNvoI+8gSHqDqpBn+3tyNaUZbmNwWDgp59+YvLkyWnSn6mqSpcuXahevTozZ85MuefevXv07t2bggULsnr1aqtPEzcajbi5uREVFYWr6/+S3up0OooXL861a9cs+uWuWbMmq1aton79+ty4L/j9WPq5Oc1x72Yoyu01fP7553h4eDBv3jwmT57Mb7/9xquvvprq2sQkQehNOHMVEpL+P8+vgPwu4FsZvMuCy/9vM7l48SKvv/468+bNo2fPnmnqHTduHJcvX2bjxo0vRLqm+/fv88knnxAUFMS8efPo0qVLTjfJZjp06EC/fv1455137FJ+fHw8I0aM4Pjx4/zyyy/UrVvXLvWk59SpUwwaNMjiHntCQgI7d+5k8+bNiLtXmT2wB/mdLT+rFI0WQ5M+hFz4hzNnzhAcHMyZM2e4ePEi5cuXT9lf+uSfT8/L5xRTfDT6u1cxRkf+70tBkPzvQuDgUQynEpXQ5C+YLb/rL3Xge+L+/ftMmDCBwMBAvv76awYNGoRWqyUqKor69eszZcqUVIl2DQYDY8aMYfv27WzevNnq7PPe3t78/PPPaX6Zu3btSr9+/ejXr1+Wyrt58yb169fn7t27aDQahBD8chDuRZPlYU8HDTSr9pCAGZ/z+++/U6NGjZRFDBUrVszwXiEERlNyT+95H+bg4GDat2/PqlWr0pwXqNPpqFevHhMmTKBv375Za3gutnfvXoYOHUrt2rWZM2eOXRZkZKd///2XV155hfDwcFxcbJPU4GnBwcH07duXJk2aMGfOHPLnz2/zOjJy9epVWrVqxbVr18y+58GDB2zdupXAwED27dtHo0aN6N69O127dMbz3HYr5voUNKWq4NSwQ5p39Ho9YWFhKYHwyT/z58+fKhD6+PhQsWLFbFl5K1QV3fVzGB/dzXxRj0aLg0cxXCrWRbFz22Tge8qZM2cYPXo0MTExzJ49mxYtWnD69GnatWvH/v37qVmzZqrrV69ezccff0xAQAC9e/e2uN5evXrRq1evNF/uCxcu5ODBg6xZsyZL5S1evJigoCDWrl2b8lqSQbB2P8Q+Nj/4OWjg9bpQu7xCXFwcnTp14sKFC7i7uzN9+nR69Ohhk6ezI0eO0L17dzZt2kTTpk1TvXfixAm6dOlCSEgIxYsXt7qu3EKn0/H9998TEBDAf//7X4YPH263xRn2NnbsWBRF4YcffrBpuUII5syZw6RJk5gzZ06WHwBtJSoqisqVK2e6wOX69esEBgYSGBhIcHAwbdq0oUePHnTs2DHVgh/DxaOYLp+2bHWn1gGnJm+gKVTCrMuFEFy/fj1VIAwODiY2Npa6deumCog1a9a0aW5VIQSJl05iinuYnHnGHBoN2vyFcK3eAEWxX/CTge8ZQgg2btzI2LFjadCgAdOmTWPv3r1MmzaN48ePp8n3d/r0aXr27EmfPn347rvvLPryGj9+PA4ODkycODHV6+Hh4fj6+nLv3r0slduzZ0+6d++eJlVTkkGwcmcsD+O1ODnng+dMkBv0j3F1caVjfYWqpRRu3rxJ586dady4MXPnzmXfvn2MHTsWNzc3ZsyYQaNGjbL6I6exe/du3nrrLbZt20b9+vVTvffFF18QFhbGpk2bXoghz6ddvHiRoUOHkpiYyKJFi/Dx8cnpJmVJYmIi5cqV49ixY1SuXNlm5T548ID333+fu3fvsm7dOpuWnVUmkwknJycMhtQbz4UQnD17NiXY3b59my5dutCjRw9atWqVauriacJkRL9/AyIuyvyAAKB1QFuxNo61mmZ+bSYePHjAmTNnUv4EBwdz9epVqlevnioY1q1bl4IFLTt2THfjAoYH4VkP8BoNjkXK4FKhlkX1mkMGvudITExk+vTpzJ49mxEjRhAeHk58fDwbNmxI8+X74MGDlKfRX375hSJFspbnc+3atWzZsoX169enea9u3brMnz8/3a0E6TEYDBQrVoywsLA0PSSTyUT9+vX5cNxUPCq04do90GoECQmPcXDQ4uDgSHRUJA2qKrRqWAIXJ4UTJ07QvXt3xowZw0cffZTys5tMJlatWsWECRNo0qQJ3333HZUqVcrSz/2s33//HX9/f3bv3k2tWv/70CclJVGvXj2+/PLLHHvqtydVVVmxYgXjxo3jnXfeYeLEiRQoYL/jsGxp5cqVrF+/nm3b0q6QtlRQUBADBgygX79+TJo0KcdPeAAoWLAgN27cwM3NjcOHD7N582YCAwNRFIUePXrQvXt3GjdubPYDqkj6/7ybCTHmBQatA5oy1XH0ed1uD3+JiYmcO3cuVe/w3LlzFC9ePM28YalSpTJshzDqiT+zN2uB/WmKhvx1W6JxtE32nTTFy8CXsfDwcD777DMOHDiAk5MTI0aMYMyYMWmuMxqNfPnll2zYsIHffvsNX19fs+s4ffo07733HiEhIWne++KLLwD47rvvzCrr0KFDjBo1Kt28kT/99BO//vor+/btQ1EUEnSCTydMw2DS8MHwoQwd8g7DB/bk7f79Afjtt9/w9/dnyZIldOvWLd36EhISmDVrFrNmzeI///kPX375pVUr7dauXctnn31GUFAQVar8bynpyZMn6dSpEyEhIZQoYd4wT14TGRnJJ598woEDB5g3b57NM5DYQ6NGjZgwYYJN2mo0Gvn2229ZtGgRK1asSDPnm1MSExMpX748zZs3JygoiLJly9K9e3e6d+9O7dq1LQ5EwmjAeO4ApvCw5EUe6SWfdnBMnvvyaoS2Yp1sH/EwmUxcvnw51TDpk0U+z84bVqtWLSXwJ935F/3ty1YFPqeSlXEuXdVWP0pqQjLLwYMHhbe3t3B0dBSLFi167nXr168XRYsWFatXrza77Pj4eOHq6iqMRmOa9w4dOiTq1Kljdlnjx48X48aNS/P6vXv3RNGiRUVoaGjKa9OnTxc+Pj4iLi5O9OrVS/j7+wshhFBVVUydOlWUKVNGnDp1yqx679y5I/z9/YWnp6eYMWOG0Ol0Zrf5WQsXLhQVKlQQ4eHhqV7/4osvRLdu3YSqqhaXnRfs2rVLVKlSRfTq1Uvcvn07p5vzXCdOnBDly5dP93ObVTdv3hRNmzYVrVu3FhERETZonXUePnwoVq1aJd544w3h7u4u8ufPLz755BNx/fp1m9el6nXC8O8Zodu5UiRuDRCxG2eJ2N/mCN2BX4XxzlWhqiab12kNVVXFrVu3xB9//CG+/fZb0bNnT1GpUiWRP39+0ahRIzF06FBx7/AWEXv8T+v+nN5pt991GfiywGg0ig8//FBoNBrRt29fcefOnXSvO3funKhSpYoYNWqU0Ov1ZpVdrlw5ceXKlXTrLFKkiLh586ZZ5dSvX18EBQWlef29994TY8aMSfnvP//8U5QsWVLcuHFD/Pjjj8LX11ckJiaKpKQkMXDgQOHj45Mm8Jjj/PnzolOnTqJixYpi/fr1Fn9wp0+fLqpXry7u3buX8ppOpxO1atUSa9assajMvCQxMVFMmDBBFC1aVMybN88mwcXW3n//ffH9999bXU5gYKAoVqyY+P7774XJlHNf8jdv3hRz584VrVq1Em5ubqJbt25ixYoV4v79+6J58+Zi79692dKOAQMGiBUrVmRLXbYUHR0t9u/fLxb8NFdEHbVB4DvxlzDpLX+AzogMfBYYN26cKF26tChcuLD44Ycf0u3dPHr0SHTs2FE0a9ZM3L17N9My27ZtK/7444903+vfv79YsGBBpmVERkYKd3d3kZSUlOr1I0eOiFKlSonY2FghRHJw8vT0FIcPHxbHjh0Tnp6e4sqVKyIqKkq0bNlSdOnSRcTFxWVaX0b27NkjfH19xSuvvCIOHTpkURn//e9/Rd26dUVUVFTKaydPnhTFihXLFb2C7HD+/HnRpEkT0bBhQxEcHJzTzUkRFRUlPDw8Uj2YZFViYqIYMWKEqFChgjhy5IgNW2ceVVVFaGiomDRpkqhXr54oUqSIePfdd8XmzZtFfHx8qmu7desmfvvtt2xp14gRI8TcuXOzpS57MCUmiNiT260PfCe3C9Nj676Hnuely9xiC5MnT6ZOnTp07dqV/fv3U6tWLbZu3Zoqt6SHhwdbt26lRYsWNGjQgL///jvDMtNLXfaEuenLdu3aRcuWLVMtBjCZTAwfPpzp06fj5ubGw4cP6dq1K9OmTaN69er06dOHhQsXAvDqq6/i4+PD5s2brV5c8frrr3Py5EmGDx9Ov3796NWrF1euXMlSGRMnTqRly5Z07NgxJdtJvXr1GDJkCEOHDrV7Lk81MQ7DP8fRHdyILuhndEHrSDq0CcO/wYgk689LNEfNmjXZv38/Q4YMoW3btowdOzZXZOhYsWIFnTp1olixYhbdHxYWRqNGjYiMjCQ4ODhNIgR7UVWVI0eOMHbsWKpVq0bHjh2JjIxk2rRp3L17lxUrVtC9e/c0ewULubkTfSsC1ZC1nLSWcHNzIzY21u712I1GAzZJjQ9YeaTac4u1S6kvOI1Gw5o1awgKCuKdd95hzpw5jB07Nk36M41Gw9dff52SpWPx4sXPLfN5qcsA2rVrR1BQEDpdxolpd+zYkWZBwIIFCyhYsCB9+/bFYDDQu3dvevTowYABAxgwYAC9evXC09OT0l2hLQAAIABJREFUJk2a8OGHHzJz5kyb7SfTaDQMGDCAf/75h/r16/PKK68wevToVOcPZkRRFGbOnIm3tzfdunVL+fknTJjAtWvXUu1TtCU1LoqkE3+hPxKYvPBAFw8GPRiSEIlxmK6HknRoI/rg3aiJ9jm142nJidYHEhoayp07d/D29rbpKsqsUlWV+fPnW5SXUwjB8uXLadq0KSNGjGD9+vVWZz/KTFJSEtu2bWPIkCGUKlWKoUOH4urqyoYNG7h+/To//vgjLVu2xMHBIdV9urv3uTRpHrtKvkLP9X9TdOw8/ipQh12lXuXydwEkRT60S3vd3d3tdhpMdlAcHLHJWWhCRXGwz4peGfgsVLhwYTZt2sSIESOoUKEC586do3379jRr1owPP/ww1WbXrl27cvDgQWbNmoW/vz9JSWmzNmTU4ytcuDB169YlKCjoue1RVTVN4IuMjGTixIn89NNPKIrChx9+iKurK1OmTGHq1KnExMRQu3Zt3njjDVauXMnQoUMt/wvJgKurK+PGjePChQuYTCZq1KjBtGnTMg3kkBz8Fi5ciKenZ0ruVCcnJ1asWMGYMWO4c8e2x7OYHkagP7ENEX0veZl5eqvSVBOoKuqD2+iPbUWNtc8X4LOKFSvGmjVrWLx4MaNGjaJPnz5ERERkS91P27NnD/ny5ctyLy02Npb+/fszY8YMgoKCGDJkiN1WKcbExLBu3TrefPNNihcvzvfff4+XlxeHDx/m7NmzfPPNN/j6+qZbvzHhMaff+oh9VV7n36mL0D94hCJAY1JBVdHfj+LK9wvYW6kFwe98ginRticl5PUeX+T9B/x7LxqTlfmMte6eKHZK6iADnxX8/PyYOnUqb7zxBjqdjg8//JALFy6QmJiIl5cXCxcuTDmOpnr16vz99988ePCAFi1acPv27VRlPTme6HnDd5kNd4aEhODu7p5qL924ceN499138fb2JiAggH379rFu3ToOHjzIjz/+SMOGDfn666/Zt28fbdu2tcHfSMaKFSvGvHnzOHToEIcPH8bLy4t169ZlmvBbq9WyevVqhBC8++67mEwm/Pz88Pf3x9/f32ZDnmrMfQxn9qS/rDxdAox69Ke2oz7Ovi+qNm3acO7cOapVq0bdunUJCAjI1mOPAgICGD58eJaC1okTJ/D19cXd3Z3jx49bneYvPRERESxYsIB27dpRtmxZfv75Z9q2bculS5c4ePAgH3/8caYb4Q2PYjj8ai/ubd2DmqRH1aWfWkzVJaEm6bm7eSeHG/fGEG27//95scdnMpnYvn07PXv2xMvLi62HT4M1mVc0WpxKWrcvOCNyH58NDB48mJiYGNavX5/yZZBe+jNIHuqZMmUKc+fOZf369SkpuoQQFClShLCwsHTnTc6dO0e3bt34999/0/3CmTJlChEREcyZMweAo0eP0qtXL8LCwjhx4gT9+vXj8OHDFChQAD8/P6pXr45OpyMwMDDHUoEdOHAgZU/k9OnTad68eYbXJyYm0qlTJ6pUqcLChQsxGAw0aNCAMWPGWJ0cWQiVpAMbwMJzzpQChXB+Nf29jvZ0/vx5/P39MRqNLFy40O7Jm8PDw/Hx8eHGjRtmzQOrqsrMmTP54YcfCAgIoFevXjZtzz///JOymfzSpUt07NiR7t27J59M8kyWpcyYkvQcbfZ/7J13WFTH94ffu8vSLajYUKzYG1FibwgqFixRE2ONikaNJYmxxhJLNGryVdRERGOPMbGBBUUQG1YUFXtBBVSKCkhbts3vD8ImSBF2MTG/8D7PPrB3587MXZb93HPmzDkf8er6XYQq/2t5MjNTijepS8tj25AVwmb7vXv3snnzZvbt22d0X2+bqKgofv75ZzZs2ICtrS0eHh4MHDiQYsWKkRJ2EpFu2Hq0ZGqBVaMOb80jUGTxFQKrVq0iPDycFStW6I81adKE48ePM2vWLIYNG0b//v159OgRkiQxY8YMNm7cSL9+/Vi1ahVCCCRJyrEaeyYNGjRAo9Hk+npmGSLIGtASExPDwIED2bFjB1WrVqVfv37I5XLKli3LsWPH/tH8l+3ateP8+fN88cUXDBs2jN69e3Pnzp1c21tYWODj48O1a9eYMmUKCoWCTZs2MWXKFKNdfrrnT8AIq0mkvkKX9Pe4PP9K/fr1OXnyJKNGjcLV1ZWpU6e+1eCXdevWMWjQoHyJXmxsLN27d2fPnj1cuHChUERPp9Nx/vx5ZsyYQd26dXF2diYyMpIFCxYQHR3Ntm3b6NevX4FFDyBy4y6Sbj8okOgB6NJVJIXdJWpL4QjVu27xqdVqfHx86NGjB40aNSI6Opp9+/YREhLCmDFjKF68OJIkYeHQ1LDgFJkci1rN3upm/SLhKwQyK7cvWbKEkydP6o9LkkT//v25desWDRs2pGnTpsyZM4eUlBS6dOnC2bNn2bBhA8OGDdO7R3Nb58urOG1SUhKXLl3SW5WZAS1ubm64u7szb948nJ2dGT9+PJcuXWLo0KHs2LEj11yCfycymYyBAwdy+/ZtWrduTZs2bRg/fjyxsbE5ti9WrBiHDh0iICBAv04zduxYRo8ebZTLU/MoDApYRT4LQofm8U3DzzcCmUzGqFGjCAsL4+nTpzRo0AA/P79CH0elUrF+/XrGjh37xrYBAQE4Ojri6OjIiRMnqFq1qlHj+vv7M27cOCpXrswnn3yCTCZjy5YtREZGsmbNGlxdXY1KbSaEIHy5N7pUwyx+bWoaD5Z7F4rbvVixYu+k8IWHhzNz5kyqVKnCsmXL6NevH5GRkfz44485ZqqSW1hjWbs5yE1y6C0XZCZY1n4fuUXBb1wKQpHwFRKvV27/K5aWlsyZM4crV65w//596tSpwy+//EK1atU4c+YMWq2W1q1bU65cuVyFDzLW+Q4cOJDt+LFjx2jevDlWVlb6gBZPT08GDRpEx44dGTt2LIsWLWL9+vUsXbqURYsW/S0lSQqCubk5X331Fbdu3cLExIR69eqxePFi0tLSsrUtVaoU/v7+bN++nR9++IFZs2YRFRXFli1bDBpbqJSIxPxFmubeiUAX/fCtb7HIi3LlyrFt2zbWrVvHhAkT+PDDDws1+Gfv3r3UrVuXunXr5tpGrVYzc+ZMhg0bxpYtW/j2229RKApeey4pKYnff/+dQYMGUb58eebOnUvVqlU5duwYN2/eZNGiRTg5ORXa5zg++BKq58YVm02PjiPhfPa0gwWlePHi70xwS3p6Ojt37sTFxYXmzZujVCoJCAjg9OnTDB8+/I0louTWJbGq1wZ5ybIZa345rfv9cVxewhar+q2RW9tkb1PIFK3xFTLffPMNAQEBHDt2LNd/+Mx8mhYWFnh6evLee++xcuVKvvnmG2rWrMnFixdzPC81NZXy5cvz6NEjrK2tEEIgk8n4/PMvqFq1KlOmTGHEiBGUKlUKSZK4dOkSR44c4fvvv2fWrFmsWLGCCRMmvM3LLzTu3bvHjBkzuHDhgr5Q8OtfchEREbRr145Zs2bh5ORE586dCQ0NLXB9O11yPKoLh4yz+AAkGWYdPnprIdgFIS0tjYULF7Ju3Trmz5/PmDFjCiwSQqsFmUzvcmrfvj0TJkzI1WX56NEjBg4ciI2NDZs2bSrwHr+YmBh8fX3Zt28fp06donXr1hk17NzdqVChQoH6KijXJ87n8dpfjAvDl8moNnEo9ZbNMGouT5484f33388WAPd3cvv2bby9vdm6dSsNGzbEw8ODPn36YGZmeNJonToddWwE6pdP/wwgk5ugKFUBRdkqby0hdU78a4Xv3qNU9gfEEfk0nTSlFitLOQ7VLHF3saViub/vDXwdnU5Hjx49qFOnTpbK7a+j1WrZtGkTX3/9Nd26dWPRokUEBgYybNgwFi9ezJQpU7L4uIUQKNNSORF0jFoODhl77f6oXpycnIyJqRkJr5Lo27cvs2fPZvny5Zw9e5bFixfz008/MWHChEKvl/Z3EBwczJdffolKpWL58uU4Oztnef3+/fu0b9+e77//njt37nDhwoUMq1inRRsdjvbp/T8DVhRmyMtXR1ahBglJyTx79ozo6GiUz5/RpoQKM7mR1oNMjlnbfkim/7wLOZMbN24wevRodDodXl5eNGrUKNe2Qqcl9WoICYd2k/7wHmg0IIHMwpL0Wo0YumYDp2/eyfGG7vfff2f8+PFMmzaNzz//PN8ie//+fX1Zn+vXr9O1a1d69+6Nm5ubweVwDCHkg/HE+AYY3U+FAd14b/v/jOojKSmJihUr/u3uztTUVHbt2oW3tzf3799n+PDhjBw5Mkuy+P8v/KuETwjBifMJbN8XTXRcOmqN4K+R8CZykMkkHKpZMrRvBRzrv10/cW68fPmSpk2b8t1332Wp3J4TiYmJLFy4kI0bN/LVV18xZ84cGjRoQM2aNdmwYQPW1tao0tOJefYEnVaLTqfLddFXpVIR+eQpQ4YNx9fXl0WLFnHx4kUaNmzIwYMH3zn3Zn4Rf9RInD59OnXr1mXp0qVZigJfv34dFxcXVq5cief3S1kydhCOFUqgEwJTWdb3KkWZjiRJ7D19mc0nQpFbFqNRrerM790KMxPj9gxpdTqaTlhMtRo1cXBwwMHBgVq1auHg4ECVKlX+sUKzOp2ODRs2MGvWLEaMGMGcOXOwtLTM0iYpOJAXOzYgNGqEMrt7WQsIScKqRm3KjpmCwjajQkZaWhqff/45AQEB7NixAycnpzznIoTg8uXLerGLi4ujV69e9OnTh44dOxplURQUjUbDkydPiIiI4PkX32F65Z7RfZbv24WmOz2N6kOn06FQKLLV/3tbXLlyBW9vb3799VeaN2+Oh4cHPXr0MMhF/W/hXyN8Wp1g1aZIjp2JR5n+5o2RZqYSwz6oQL9u/0zUYmbl9pMnT+a5JpLJ3bt3+eKLLzh69CgLFy7k1q1bXLx4kb1796CQyPfakVKpRKVWM2bseMzMzXn06BGhoaFZKkD/mxBC8OLFC6Kjo4mIiGD79u34+PhQo0YNatSoQUJCAtHR0URFRWFrbUHg99OwKWaFmeJNC+oSKEwxdeqGZFWS9BM7QGOkq9PcmsdlG3L37l3u3bunf9y9e5fY2FiqVauWTRAdHByws7P7W77gYmJi+OKLLzh79ixr1qzBzc0NgJe7t5J4ZB9ClfOetSxIMmQWFlSYtpj7yWl8+OGH+pqRxYsXz/EUtVrNqVOn9GJnbm6ur2HXvHnzt3btSUlJRERE8Pjx4xx/RkdHU65cOezt7ekfJ3B4aHxUbpWxg2jgOcfofooXL05UVFSu76mxJCUlsWPHDry9vYmJiWHEiBGMGDECe3v7tzLeu8a/QviEEKzcGElg8EvSVfmfrpmpxKiP7OjlavsWZ5c7GzZsYPny5TlWbs+Ntm3b8uDBAxo2bEhnV1e6unZ64wLy6yiVSp5FxzBg4Mf4+fllq2j+LpCWlkZ0dLT+kel2fP33mJgYihUrRvny5fUPGxsbwsLCuHz5Mh988AHjx4+nRqWKKK75I9NqkBfEZWmiwLRlb7RP7qF9fMPw+mFyE0xqOWFSqXau1/vgwYMsopj5+6tXr6hRo0Y2QaxVqxZly5Yt9LDuI0eOMG7cOJycnFj6QTe0R33yJ3p/QS1X0P/oBb6Yv4hhw4Zlm2NKSgr+/v7s3buXgwcPUqNGDX0Nu7p16xp9TTqdjpiYmFxFLSIigvT0dOzt7alSpUqWn5m/29nZ6a2amAPHMrKwJBm+FURmZUHTnZ6U7dLO4D6EKp30+7cY98kw5n8zj9J2lTGrXhuZlfHeKyEEFy5cwNvbm927d9OxY0c8PDzo3LnzP+aN+Kf4VwjfyQvxLF8XkS9L73XMTCVWzKlFjSqWb278Fhg1ahSvXr3Ksrk9L+bOnYtarcbW1pbSJUvQpnUrg+6I09LSuHr9Bh8N/NiQaRuETqfjxYsXWYQrN1FTKpVZxKx8+fJUqFAh2+/lypXL1f0VHh7OjBkzCA4O5uxP32BrJhkUnCBZlkDRrCuqM3vA0DRLMnlGYIvcsAjG1y3EzN9VKlWOgujg4GBUwd/U1FR++GYuHzy9YdDaplYnkKrXpua8P9exnz9/zv79+9m3bx9BQUE0b95cH5xSuXLlAvWvVCr1ApaTqEVFRVGiRIlcRc3e3p7SpUvnW2CFVstRu9aoX8S/uXEuJEhaDvRtxoSJE2nZsmWBxF0TF03S8UOkngsCSSIlORkLCwtkcjlCo8GikRPFOvXEtErB19vi4+P1qe5SU1MZNWoUw4cP/39b0Dk//CuE79OZtwmPzL7ukB9kMujYwoZpY6sW7qTyiVKppHXr1gwePJjPP//8je137NjBnj172LFjB1GPwg0eV6fTYWVtTbmKlQzuI5PU1NQ3WmbPnj0jLi6O4sWLZxGw3AStZMmShWbJhAafoFr8bczf6N7MBbkJpk27onl6D130w4xcnAVBZoK8agMUNZoYNn4evHz5MldRNDExyVEQHRwc8uVheLl7K/GHdiPlO0VbViQTBUyYg0/QCfbt20doaCiurq706dOHbt265epez3Rfvy5mfxW4xMREKlWqlKuoVa5cudD3od5b9CP3l6zNNU1ZXsgszKj81SgCiulYs2YNxYoV47PPPmPgwIF5zlMIwauDO0kK9AWdyD1dniQhKUwxq9OY0p9MRnrD+psQglOnTuHt7c3+/ftxc3PDw8ODDh06/GvX+guTd174wiPSmPTNnQK5OF/HVCHx66oGWFsZ+MVoJA8fPqRFixbs2rVLn6IsN65cucLgwYM5dfI4ifHxxoVXSxKVqlTLlnUeMqJKnz9/ni9BU6vV2QQsJ0ErW7asUZuIDUV94zTaqLsYUwpFZmuPokknVJeOIF49z7/4yUyQla2MokG7t5pp4nWEEMTGxuYoiPfu3aNEiRI5CmLNmjWxsLBAaDQ8njgIXarhrj2VTrAj/ClRtd+jT58+dOrUCQsLC9RqNU+ePMlV1CIiIjAzM8tV1KpUqUK5cuX+9i9odcIrTjr2RPk0tkCWvySXYV6pAm0v+6Iobo1Op8Pf359Vq1Zx4cIFRowYwbhx46hSpUqW84QQJOz0JvXCyfy7mhWmmFauhu3EuRk3Hq8RGxvL5s2bWb9+PXK5HA8PD4YMGUKZMmXyfT3/Bd554Vu1KZKDQc8N9kABmJnKGDPIjh7O/9wf38/Pj1GjRhESEpLnnqTU1FRKly7Nvds30RhZ+0ur1XL1+g0uXQ7NJmjPnz+nZMmS+RK0zBRE7yJC6EgP2FJwK+11JBlmzoNAJkcddhLd86g39CmBTIa8Ui1Mar3/Tr0/Op2Op0+fZhPEu3fv8vDhQ8qWLUu3+rWZVM4cMyPrpikVZmwp7ZBF1GJiYihfvnyuola5cuW3FrRhLKkPI/VJp4XmzZ8pSWGCwqYErc/8jmWV7PtH79+/z08//cTmzZtp06YNEyZMwNnZGUmSSAo6yKv9Owq8vorCFIvGzSk9fCKQ8fcOCAjA29ubo0eP0qdPH0aNGkWrVq3eqc/lu8Q7L3xffXuPq7eSje7HublEt3YydDodOp0OIYT+978+CuN4bm3379/P7du3mTBhApIk5dp+6dKlnAoKNLoYrFqt5uTpYJ7FxGYTtLJly/6/CFcWqnTSj/9ieFDKH+gkGU/KN0ZtYo4QAtP0ZEomR2OVnoCQJKQ//k0EEqp0Jc8lK9Jtq6KUmekjboUQWR7vyrG/PtdqtcTFxWEWfpu2CRGYG/WugQrY7dCSKlWq6MXNzs4uRy/DvwXl0xgu9PAgNTwCbaoyZ6+LTIbc3Awrh6o4HfDGvHzeAXQpKSls376dVatWodVqmThuHD0enod0A0samShg1DQ27dvPhg0bsLGxwcPDg48//vhv3f/4b+WdF74Jc+9wJ9z4atcpzwNJerIF2R+ZKGQyWbZHYRzPq60kSRw+fBgbGxvatWuXa/vff/+dXb/uoGRJYz/AEqXK2FL8LRf6/CcRyhTST/1utMWXnJbOCM8d3Hv2XP+3kiSJklYWONaoRAlLCwSCxBQlvifPoxFQvnz5LG2BLM/fpWOvP28k19BHkY65kQaBUqOlwS9HMDMzw9LSEgsLCywtLfWPNz0v6Dl/V/ShEIKE81cJ/2EDsYeOIzNVZAQM6HToVGrK9XSm+ucjKeHUsEBWlRCCkydPcmb9avpaarAycF1aLQQ77kQSUdMRDw8PmjZtalA//1Xe+dsya6vC+aCPGvExn/SfUih9GUPm5vY2bdrkurk9PT3dSAdUJgKZsdlI3kGEEDx9+pSwsDBu3whjVL2SmBi5HmRtbYXPwUNI+UiO2ycwkGnTphESEmLUmP8kqddDiV79LeSwWb0gWJa0QavVolQqSU1N1T/S0tKyPM/pWEJCAk+fPi3QOQqF4m8RWIVCgU2LJjT9bRXqxCSUkc/QJKVgUswK88oVUJQwbHuBJEm0b9+e2sG+aJ5GGPy+KySJoY0csPvOE0nxz6fI+7fxzgtf7WqWXLudjFptROZ9dQo7tvxAbLgtLi4uNGnS5B/bt5JZub1Lly40bNgwx83tdevW5WJICJ1dOhk1Vnp6Oh8N/JhOnTrRq1evLEVq/y0kJSVx/fp1wsLC9I9r165hYmJCw4YNadiwIeq6pQrng2yWvy0v7du359GjRzx69MioqgN/N0IIrl+/jp+fH8cP+7HczhxzY/4PJBkW9ZpklKCxsMDCwoLSpUsX3oRfQwiBSqUqsMAmJycTGxtboHMkSXprAmtubg7PIo1+PySZDE1cNIqK/41N54XJO+/qjHupYviUm0YJn4W5xLBujwk6FkBAQACxsbE4OzvTqVMnXFxcqFGjxt++CJzX5vY9e/YwY8YMfPfsMjiFk1ar5fKVq4Q/esz9+/fZv38/ZcqUoVevXri7uxdqZvvCQKPRcPfu3WwCFxsbS926dfUi16hRIxo2bJiljqA6/CraB6EGuztVag2+l+5Ajffo169fxhfTGxg1ahT16tXjiy++MGjMv4vExEQCAgLw8/Pj8OHDmJqa4uLiglwu573HN+hQphhymWGffcnUjIozv8Os6v+/XI5qtbrAAvum55nHRLqSgJ7NURj5/yeZW1Jm7HTMarw5M1QRWXnnhQ9gxtL7XAozLGGrwkSiTxdbRn30Z8TVkydPCAwMJCAggMDAQBQKhV4EnZ2d/7birK9vbr958ybLly9nz549pKWlcefmdcO3M0gS5y5cZNbXs7Gzs2P69OnY2Niwf/9+fHx8ePnyJT179sTd3V0fhv538Fc35V8F7u7du9jZ2WUTuBo1arzROhcqJeknfjV8nU8m53iKNSvWrufSpUsMGTKE0aNHU6dOnVxP8fPzY+HChQQHBxs25ltCCMG1a9fw8/PDz8+Py5cv07p1a9zc3Khfvz4HDx5ky5YtdOzYkS8HfUh5v18LHlX4B4oKlam8+KdCvoL//withieTPzZuqxIZwmc7YbZBm9r/6/wrhO/mvRSmLbln0F4+C3MZ67+ri22pnP3gQghu376tF8Hjx49jb2+Pi4sLnTp1ol27dgZVc84PmZvbW7VqxePHj7lw4QITJkzg00/H0rPPALZt24429QXyP4Je8oskSVhaF8O2XHk0Gg2//fYbixcvRqFQMH36dD744AMePnyoF8HQ0FCcnZ3p1asX3bt3x9a2cFK85cdNmSlw9erVK3Bqtr+ivn4a7bP7BRY/lVaHWfmqmL3nCmTsufT29ubnn3+mTp06jBkzhr59+2azvFUqFeXLl+f69etUrFjR4HkXBgkJCRw9elRv1VlaWuLm5oabmxvt27fn7NmzeHp6cvbsWUaOHMnYsWP1e8qiVy8m7dpFhEpVsEFNFFT48hss6uZe7aGI3HnyxWCDbzj0KBSUn+OJiU3RHr2C8q8QPoBDQc/5aVtUgXN1LviyBk3q5V+4NBoNISEheovw4sWLODo66i3C5s2bF8o2AJ1Oh6+vL/Pnz+fatWtMmjSJufMWkKCUE/1SRXJKKpIEcqGiUjElEoJ8eWMlCQsLS8pWqJjFfavT6Th48CDffvstL168YNq0aQwZMgRTU1NevHjBoUOH8PHx4ejRozRq1Ah3d3d69epFrVq13jhkftyUmQL3upuysBA6HaqLhwq0+VxIMh7FvGDBgQts2LQ5i9WrUqnw8fHBy8uLa9euMWzYMEaPHo2Dg4O+zZAhQ2jRogXjx48v9OvJc95CcOXKFb1Vd/XqVdq0aaMXu5o1a5KSksK2bdvw9PREJpMxceJEBg0alK0qg1Crebp0Jkn3bpHfEAmtJGP5zQim/rKbGjVqFP4F/geI3+FFytkgo6KRFZWqUm76skKc1X+Hf43wAfifesGqTZFoNAJtHtu2FAoJE7nE/C+q07iucdZaamoqp0+fJiAgY33wwYMHtGnTBhcXF1xcXGjQoEGB1gfT09PZtm0by5Yto1ixYkybNg1zc3MOBJxn6JivkCQpmwdEjgYbeTwmkgYJchRASZJIT0/n4ePHdO7aLdc5CSE4ceIEixcv5ubNm0yZMoVRo0bprS2lUklQUBC+vr74+vpSrFgx/bpg8+bNiYmJKVQ3ZWEitBpenNyL9CoOK/O810ZT01VEJ6dTvddIPhk1mqioKHx8fHLMf3n//n3WrVvHpk2baNSoEWPGjKFXr14cOnQIT09Pjh079rYuSU98fDz+/v74+flx5MgRihUrlsWqyxTtR48esWbNGjZu3EibNm2YNGkSHTp0yPMzum/3LqLWfEdn+/IgBCa5NJXMzAFB2U+nsvV8KN9++y2BgYFZbgaKyB/q6ChivpsG6gJa2n8gmZlj8/GnWDZtXcgz+2/wrxI+gMhnSvYcjiXg9EtkkkTaH4mrJQnMzWTIZRI9Xcrg7mJLaZvC36D9/PlzgoKC9K7RpKQkvTXYqVOnbGmJMklISMDLy4uVK1fSpEkTpk6dSvv27ZEkiUcxSiJiUzHJIQVJ+DtsAAAgAElEQVTRXzFBjbUsBXNZGpIEMklCCIHcxIQSJW2IiYujZctWXL16NV9VyENCQli8eDGnT5/ms88+47PPPtPnV0xKSuLatWscPHiQo0ePcuvWLVJTUzEzM8PBwYG2bdvStGnTQnFTFhYajYYWLZqz8IvxdKxZDpEYl/FC5l21TAZIKE0smLD0J07eCGedtzeurq5MmzaNgwcP4ufnl+vfMD09nb179+Ll5cWtW7cYMmQIa9euJTw8vNDcw5nodDpCQ0P1Vl1YWBjt2rXDzc2Nrl27ZrG0Mm9mPD09OXnyJMOHD2f8+PFUq1btjeM8evSIRo0aUaFCBfy2b+G3L8cxoHZVJJmMdJUKIQQmkkSCRkftkZ9h3aI9MrOM4J/169czb948AgMDqV0756oUReROzLIZqCMeGJZY3cKKiou9c0xbVsSb+dcJXyZpSi2nQxKIjlWRkqalmJUJVezMaeFYApPcblnfAg8fPiQwMFD/KFGihF4EO3bsiFKpZMWKFfz88890796dKVOmZKmC/SxexeOYdHQF+isI5JKgbHETqpS3yLL+N3v2bO7evcvOnTvz1ZNGo8HPz4/ly5dz8eJF7OzsUCqVvHz5Mpubsnjx4pw7dw4fHx8uXrxIhw4dcHd3p2fPnn9bQFBeLF26lKNHj+Lv75+RGSc1Cd3zSIQqI/uGZGqOrIwdMquSeHh4kJSUxOnTp7l27RqlSpVi5cqVLFu2jAMHDtCkSd4Jp+/cucO6detYvXo1NWvWZMGCBfTs2dMoN/jLly+zWHUlS5bUW3Xt2rXLFm2amprKL7/8gqenJxqNhokTJzJ48OB8Z/xRq9W8//773Lt3j+DgYHx8fIiOjmb1/35A/TSSXzf9zPOERPoP+4T3OrsRExOTzYLfvHkzM2fO5OjRo1mKAxfxZjTPY4j5bioirWAJOiSFKaXHzsS8Vv23NLP///xrhe9dRKfTERYWRmBgIHv37uXcuXMIIWjSpAmff/45ffv2zbKOpNMJLt5LztNtmxeSBE1rWmFq8qfwpaamUr9+fby9vXFxcdEfz080pb29PXfv3uXMmTMMHDiQqVOn5mo1xMfH4+fnh6+vL0eOHKFOnTp6l2hh1FsrKPfu3aNly5ZcvHgxX5bOkydPaNSoEb179yYlJYVff/0VgF27djFu3Di2b9+Oq6vrG/vZunUry5cvp3jx4oSHhzNixAhGjRqVq9X4V3Q6HZcuXdJbdTdu3KBDhw507doVNze3XK8jIiKCH3/8kQ0bNtCiRQsmTZpEp06dCvyeT5kyhS1btjB+/Hi+/vprqlWrhq+vr170PT09uXfvHqtWraJ+/fps3LiR999/P1s/27dv56uvvuLIkSM0bNiwQHP4r6OKekic5zcZVe/zkZBYUphS6pPJWDTKu9J9EXlTJHyFiBCC4OBgvvvuOy5evMi4ceNo2rQpFy5cICAggKtXr/L+++/rLcKqtRrzMEZdQGvvTyQJKpU2pbJt1vWs3377ja+++oqpU6dy+/btAkdTxsbGsmLFCtatW4ebmxvTp0+nfv3c7y5VKhUnTpzAx8cHX19fzMzM9MExrVq1eut5G3U6Hc7OzvTu3ZvJkyfn+7wZM2bw7NkzLly4wOzZsxk4cCAAp06dol+/fixfvpwhQ4bk2UdSUhJ2dnY8fvyYp0+fsm7dOrZv307z5s0ZM2YM3bp1y3L9z58/z2LVlSlTRm/VtW3bNtd9m0IITp8+rV9THDp0KOPHj6dmTcNC2Q8ePMiQIUOoVKkSly5dwt/fn/nz53P+/Hl9Gy8vLy5fvoyXlxdffPEFNjY2zJ49O8f+du7cyeTJk/Hz83ujtVxEVjQv40jYuR7lnbA/DryWnF4mB7kcRUV7bPqPwLRq0ZqqsRQJXyGQGaG5dOlS4uLimDJlCkOHDs22N+7Vq1ecPHlSvz44bdF6qjsY5x6ShJaIMH/Cwq5liaZUKBTUqFGDwYMHGxxNmZiYyE8//cSKFSto0aIFM2bMoHnz5nmekxlx6Ovri4+PDxEREXTv3h13d3e6dOlidOLtnPDy8mLjxo0EBwcXKJgmISGBWrVqsWbNGsaPH8/ly5epVCmjfuHNmzfp1q0bY8aMYfr06XlaU7169eKDDz5g6NChQIbV/fvvv+Pl5UVkZCRdunShePHiBAcHc/v2bTp06KBfq3tT5helUsmOHTvw9PQkNTWViRMnMnToUKO22ERFReHo6IharebEiRM0btxYf6MycuRIfbuNGzdy4sQJNm3axJEjR1iwYAGnT5/Otd/du3czfvx4Dh48WJQ70gC0r+JJPnWU1Asn0KWlgE4gmZtj0aAp1h26oyj/5nX7IvKJKMJglEql8Pb2FrVr1xZOTk5i165dQqPR5OtcnU4ngm8kiuCbr4x6BF6KFp+MHCPmzp0rdu3aJe7cuSM0Go0IDw8XpUuXFo8ePTL6OlNSUsSqVauEvb29cHZ2FkePHhU6nS5f50ZERIjVq1eLzp07i2LFigk3Nzexdu1a8eTJE6PnJYQQUVFRokyZMiIsLMyg85cvXy569eol5s+fL1xcXIRWq9W/9uTJE9G4cWMxduzYPP+umzdvFu7u7vrnsbGxYuvWreLjjz8WJUuWFDY2NsLc3Fy0bNlS7N27N1+fkaioKDFz5kxha2sr3NzchJ+fX5a5GYparRatW7cWtWrVEvPmzRNCCBEZGSlsbGxEcnJylrbbt28XH330kRBCiNTUVGFtbS3i4+Pz7H/v3r2ibNmy4vz580bPtYgi3hZFwmcA8fHxYvHixaJChQrCzc1NBAUF5VsIMgm9ck0cvxJntPCdu/1KvErN+Yt0wYIFonfv3oVxyUIIIVQqldi0aZOoU6eOcHJyEnv37i3Ql3FCQoLYuXOn+Pjjj4WNjY1wcnISCxYsENeuXSvw+ydExs1Dz549xdy5cwt8biZpaWnC3t5eHD9+XDRv3lx4enpmeT0xMVF06tRJ9O7dW6SmpubYR1xcnLC0tBTTpk0TTk5OokSJEqJ3797Cy8tLPH78WAghRHJysli/fr1wcnIS9vb2Yv78+dnEX6fTieDgYPHhhx8KGxsbMWHCBHHnzh2Dry0nZs6cKerXry+aNGkiVCqVEEKIefPmibFjx2Zru2vXLtGnTx/98y5duohdu3a9cYz9+/cLW1tbcebMmcKbeBFFFCJFwlcAIiMjxZQpU0SpUqXEkCFDxNWrVw3qJzg4WFSpWl2cvp5gtPCdvZUoktNyFj6lUikcHBzEwYMHjbnsbGi1WrFnzx7RrFkzUa9ePbFlyxb9l2h+UalUIjAwUEyaNElUrVpVVKtWTUyaNEkEBgbmu69ff/1V1K9fXyiVSkMuQ8/mzZtF69atxe3bt0Xp0qXFrVu3sryenp4uBg8eLFq2bCni4uKEEEJER0eLzZs3i48++kiULl1aWFtbi549e4pjx46J9PT0PMe7fPmyGDNmjLCxsRF9+vQR+/fvFxs3bhRNmzYVNWrUECtWrBCJiYkGX49Ooxa6tGShTXkldCql/qbiyJEjoly5cqJ06dLiypUrQgghNBqNqFSpkv75X/H19RXdu3fXP//hhx+Eh4dHvubg5+cnbG1txcmTJw2+jiKKeFsUCV8+uHHjhhg+fLiwsbERkydP1t/FG8Lhw4dFmTJlxPbt2wtF+IJCY0UTx2aiT58+Yv78+WL//v0iKioqy5dd9erVc7VWjEGn0wl/f3/RsWNHUaVKFbF69WqDxtHpdOLatWtiwYIFwsnJSdjY2IiPP/5Y7Ny5M1cBeP78uShfvrw4e/assZchNBqNaNiwodi3b5/48ccfRbNmzbKJr0qlEoMHDxalSpUSDRo0ECVKlBB9+/YV3t7eIjIyUqxbt07079+/QOPevXtXdO/eXZiYmAgLCwsxdOhQ8fTpU4OuQafTCe2LpyL90hGRduRnkea/UaQd3ZTxe9Av4sXVYOFQvapo3ry53sUpRIZ19v777+fY55EjR4SLi4v++c2bN4W9vX2+rXN/f39RpkwZERQUZNA1FVHE26IouCUXxB9RdEuXLuXixYtMmDCBsWPH5pjZIz+kpqaycOFCVqxYQcWKFXnx4gU/eO2iVv1mSEZkabc0k7BQPyE0NDTLQ5IkHB0dcXR05Pjx4zg5ObFy5cq3VpHh3LlzLF68mAsXLjB58mTGjh1L8eLFDerryZMnHDhwAB8fH06fPk3Lli1xd3fH3d2dypUrAzB06FBKlSrFihUrCmX+hw4dYsqUKVy9ehV3d3fef/99xo4dy+HDh/Hz8yMgIIDKlStTtmxZQkNDOXDgQJZAn7i4OGrWrEl0dPQbE36fP38eT09P/Pz8GDhwIJ999hkpKSmsXbuW3bt34+LiwpgxY3B2ds7X30v36gWqKwGgUoJWk2MbpUqNTCbjl5OhjFiwElPTjARl7u7u9O7dmxEjRmQ758SJE8yePZuTJ08CGf8TVapU4ciRIzmW08qJoKAgPvzwQ3bs2EGnTsaV2SqiiMKiSPheI78Rmvnp5+rVq/j7+3P06FFOnz6NEIKRI0cyZMgQnJycSFNL3HicavB2BpkMapY3p0yJrJumhRA8efKnGJ49exZ/f3/Mzc1p0qSJXhAdHR2pX7++waWPcuL69essWbKEw4cP8+mnnzJp0qQCZTURQpCcqiYuPoW0dA06nUCj1fAqMZ5ftqznxtUQqlWrSmBgIHfu3Cm0BOJCCDp06EDLli0pYSKwTX+Bo0NVypayQWFhgWWpsljVeg9ZqQr4+PgwevRotmzZQteuXfV9dOzYkUmTJtG7d+9s/atUKnbt2sXKlSuJi4vjs88+Y8SIEZQsWTJLu8TERLZv346XlxepqamMHj2a4cOH5/oe6l4+Q3XZP1fBy9YeGSbl7FE0diYqKorGjRsTGRmZY+adc+fOMWnSpCxbHDw8PKhfv36Bto2cPHmSfv36sXXrVrp06ZLv84oo4m1RJHx/oFQq9Tk0S5QowbRp0+jdu3eBwuOjoqI4evQoR48eJSAgABsbG1xdXUlKSuL48eMEBARkyWsohCA4LA7kZgZZYnIZONWyRpaPjcuZWU1mzJjBlStX9KIYHh5OrVq1sohhkyZNjBaU8PBwli1bxs6dOxkyZAhTpkzRW2u58fJVGtHPU9DpdDneDEgS6LQ6Dh/ah/ea71Gp0vVh+O3bt9dbMQXh6dOneqtOPI9ixsDuOFSugFySstepk5uAiSkm1RpxIfIlfT/4gCVLljB8+HAAVq9ezfnz59m6dav+lJiYGLy8vFi7di316tVj4sSJdO/e/c2lloTg/PnzeHl5sW/fPrp27cqYMWP0ae4AdMnxqM755lv09MhMkNvV4tvf/YmNjWXNmjU5Nrt8+TIjR44kNDRUf2zXrl1s2LABPz+/Ag155swZevfuzaZNm+jWrVvB5ltEEYXMf174EhISWLt2LZ6entlyaL6J5ORkTpw4oU+TFRMTQ6dOnejcuTOurq7Y29szffp0Dhw4gL+/f5b8mWq1mrlz53L81DmWrd2DJCtgMmeho669FTbW+dscrlKpaNKkCYsWLaJPnz7642lpaYSFhWVxk2aW2vmrGDo6OhqUluzZs2f873//Y8OGDfTq1Ytp06Zly+sohODZ82ReJKblK22hRqPG0twMbVoc+3198PHx4fbt23Tp0gV3d3e6deuWzZLKRK1Wc/bsWX22lIiICFxdXfmqf1fql5AhiXyk0ZGZICtjx0PzCrh1684nn3zC119/zdOnT2nYsCHR0dGEhYXh6emJr68vAwYMYMKECTRo0CA/b1k2EhIS2Lp1K15eXmg0GkaPHs2wYcOwfnAOER9tUJ/I5HSdtZKV3pto3Lhxjk1u3LhB//79uXnzZpa52NvbExMTU2AvyPnz5+nZsyfr16/H3d3dsHkXUUQh8J8VvqioKFasWMHGjRtzzKGZE1qtlsuXL+vdlyEhITg5OeHq6krnzp1xdHTU38lrtVrGjh2rLx9TunRpfT+PHj1i4MCB2NjYsGnTJrb+upem7fpiojDN35qOTsvKb79i0dyv8lU2KJPjx48zbNgwbt68mWdSaY1Gw507d7KtG1pYWGQTw2rVquXrJiE+Pp7Vq1ezatUq2rdvz4wZM3jvvfcAiHmRQmx8SoFz9Zoq5DjY2yCXyYiOjubAgQP4+vrq1zQzrUGFQqGvVRcYGEj16tX12VKaN2+OiLiBNvwa6ApgOcnkyGwr87JsHbp1706zZs30CcjlcjkpKSl89tlnjBw50uB14dcRf2QG8vLy4uq5YE6vmI6piWHVL3QCDoTcZMDX3+fa5v79+3Tp0oUHDx5kOd66dWvmzp1L586dCzxuSEgI3bt356effqJv374FPr+IIgqDd1r4tFrBudBEfI/GEf1chUotsLSQUaeGFX272FKjiuWbO3mNGzdusHz5cnx8fBg+fDiTJ0/G3t4+1/aPHz/WC11gYCDly5fXC127du1yzESiUqkYPHgwL168YN++fVnchr///jvjx49n+vTpTJ48mTt37tCuXTsmfTGNOu91olKVmjm6+YTQIZfJMFVI1Chvzu6dW/jmm284efJkvvJCZjJo0CDs7e1ZvHhxvs/JGF/w+PHjbGKYnJycbd2wbt26uaYpS0lJwdvbm+XLl9OgQQO+nj2PEuWqG1SMWpKgVHEL7MpmdcsmJCSwevVqfvvtN721Urt2bfr378/o0aOzFI7VvXqO6sIhw+qiyU1Q1GlBhMqELl26EBkZSYUKFahevTqHDx9+q6naXoUeRxZ9H5PX3bEFQKMDK9ehuWb4j4yMpFWrVkRGRmY5Pn/+fBITE/n++9xFMy9CQ0Nxc3PD09OTAQMGGNRHEUUYwzspfFqt4Nf90ew5HIdGK0hTZnU/yWSgMJGoWM6MkQMq8n6TEnn293qE5sSJExk7dqy+BM9fefXqFUFBQXr3ZUJCAq6urri6uuLi4qJPaZUbKSkp9O3bF0tLS3bs2KHPqJ+amsrkyZMJCgpix44dNGvWDCEEzs7OtGrVinXr1nHp0iXKlLPjflQCT+NSKFHCBgEkJ73Crmxx7MtZUszizzv8lStXsnr1ak6dOkX58uXz9d4+e/aMRo0acerUKerUqZOvc/IiLi4umxhGRUVRr169LGLYqFGjLEVQM+sSvkzW0KlzT4NFQiZBveq2PHkSpV+rO3bsGA4ODri5udG5c2d9EV4fHx+SkpLo2bMnvXr1wtnZGen2GXQxjwy+/phXqTTx+Jo+ffrw4sULHj9+TGRkJDExMW9V+JQnfgVlilF9CLkJpo07IbfN+TMdExNDw4YNiY2NzXL8woULjBgxguvXrxs89tWrV+natSvff/89H3/8scH9FFGEIbxzwpem1PL18gfcfZiar2rrZqYSg3qX56Oe2b/4dTodPj4+LF26lOfPnzNlyhSGDRuWpbyLRqPh4sWLeqvu6tWrtGjRQm/VNWrUKN+BJ/Hx8XTv3p1atWqxfv16/Rff9evX+fDDD3F0dOTHH3/Uh/lv3bqVFStWYGZmxqBBg/SVvA8ePMiKFSs4evQox48fZ/r06Zw7dy7HMRcuXMjOnTs5ceJEvl1qK1euxNfXl4CAgLdSRSE5OZmrV68SGhqqD6S5desWVatWzSKGjZs04Vm81iBrLxO1Kp0Na1fw247NdO7cGTc3N7p06ULZsmVzbH/nzh19kd2ohw+4um6+we5CAJVWh6ZeO0pVcUAIwdy5c1m6dCnr169n8ODBBvebF1qtFlXQNqSCBrW8jlyBol4r5BVzTnSdkJBAlSpVSExMzDZ+uXLluHLlyhtvBPPi+vXrdO7cmSVLlujznBZRxN/BOyV8Wq1g6pL73H6Qglqd/2mZmUqM+siOXq4ZId9KpVJfLianCM0HDx7ohS4oKAh7e3u90LVt27bAi/YA0dHRdO7cmU6dOvH9998jk8kQQuDl5cXs2bNZvnw5Q4cO1QtNfHw89erVY/DgwZw9e5aTJ0/qBXbhwoW8evWKpUuX8s0335Camsp3332X47hCCKZNm6aPGs3P3jmNRkOzZs2YPn06H330UYGv1RBUKhW3bt3KYhmWLF2emXOXYGllXOJqrVpJo9p2Ba72nnArBJPHYZgYubVRVtEB0wZt9M979+6t/2y9//77aDQakpOTSUpK0j/++jyv13J6np6ezrNdKyluWfDPaRbkJijqtc5V+NLS0rCxsUGpVGZ77aOPPsLV1TVLUmtDuHXrFq6ursyfPz/HvYRFFPE2eKeEb+f+GLbte5YvS+91TBUSS6dVxHfvz3h6euLo6MjUqVNp164dCQkJHDt2TO++TEtL00deuri45NtNmBsPHz7E1dWV4cOHM2vWLCRJIj4+Hg8PD8LDw/n111+zBaGMHTuW5ORkDh8+nM3t+MEHH9CvXz8GDhyIs7MzX375Jd27d891fCEE48aN4+bNm/j5+WVxKebGmTNnGDBgADdv3jR4o7mxxMWn8Ox5MmCc1akwkVG3WpkCn6e+G4L2UZhRYwPcjUlg4f6zemF6/vw59+7dQwiBQqFAo9FgbW1NsWLF9D8zH4Y8t7S0RHXqN6NdnWohQd3WFKuSc/V0rVaLQqFAq9Vm8wxs3LgRPz8/fvvtN6PmAHD37l06derE7NmzGT16tNH9FVHEm3hnhE+rEwyccJ2EV4a6b3TEPj5A42rhTJo0iZSUFL1Vd+PGDdq0aaO36urXr19oLr4bN27QpUsXpk+fzmeffQZAcHAwgwYNonfv3nz33XfZNoifP3+e3r1706BBAzp06MCsWbOyvF69enUOHTpEtWrVKF26NE+ePKFEibzXMXU6HUOHDuXly5fs27cvX3vaMjdQ//DDDwW86sIhLj71D+EzDhO5jHrVDRC+W2fRRt42evzn6YLgVKss4vThhx8yevRoli1bxsKFC/Hw8DB6nL+in3t+tl/kQrpaQ+1PZlKzdl1cXFxwcXGhefPmWarIm5iYkJaWlq2yfObWjdjY2AJb2jnx4MEDnJ2dmTp1qt7lX0QRb4t3RvguXElk0ZpH2QJZCoJM0qBIWMLJEwHUrFlTb9W1atUqy7peYXH+/Hnc3d354YcfGDRoEFqtlsWLF7N69WrWr19Pjx49sp2j0WhwcnKiRYsWnDlzhpCQkCxfKgkJCVSqVInExETOnj3LpEmTuHTpUr7mo1ar6d+/PwqFgh07drwxuCIuLo769esTGBj4j1TOfpmYxpO4JKPW+ADMTOXUrlL6zQ1fQ33/Mtrwq8YNDkilKmLWLGtGknnz5pGYmMi4ceNwc3Nj0KBBzJs3r9BuuHSpr1AF7zEsGhUACZmdA9oazQgODtYnXbh//z7t2rXTC6GTkxOxsbE5Ri83atSIdevW0aJFC+Mu5g8ePnyIs7MzkydPZtKkSYXSZxFF5MTbSdxoAL4Bz40SPcgI+W/ZYQT379/n0qVLLF68GGdn57cieoGBgfTo0YP169czaNAgnj59iqurK4GBgVy6dClH0QNYs2YN1tbW7N69mw0bNmS7k75y5QqNGjVCLpdz4sQJ2rdvn+85KRQKfv31VxISEvDw8ECny/v9tLW1Zf78+YwbN45/4v7H0iLnMPqCYm1R8IwtALLiZUBu5BxkcmQlswfSfPDBB+zZs4eaNWsSHBzMoUOHGDVqFGq1OodODBjWsjhS8YJbuX92IMOkagMsLCxwcXHhu+++49KlSzx48IChQ4dy48YNevTogVKpZOTIkWzZsoUnT55k6aJLly4cPnzYyCv5k2rVqnH8+HE8PT1Zvnx5ofVbRBGv884IX8xzldF9yOWmONRuVqDckIawd+9eBg4cyK5du+jZsycHDhzgvffew9nZmYCAgCwZWv7K06dPWbhwIcWLF2f48OE0a9YsW5vQ0FAcHR2BjByHBRE+AHNzc/bt28fdu3f5/PPP3yhoHh4eKJVKtmzZUqBxCgNzUxPMTY0L+ZckKFPSsCAPWZlKGXtjjEJgUjn7GlmDBg0wMzMjJCSEcuXKcfz4caKjo+nVqxfJyca7dwEU9VqhNiTRq8wEecWayKyzb+cpU6YM/fv3Z926dTx8+JBSpUrRrFkz9u/fT6NGjfRp1/bv30+bNm04cuRIIVzJn1SpUoUTJ07g5eVV4L2mRRSRX94Z4VOpjbP2ALQ6SC9ANKghbNy4kXHjxnH48GFatGjB5MmTGT9+PLt27eLrr7/Oc73j888/x9nZmTt37jBv3rwc22QKX2ZqrbZt2xZ4jlZWVhw8eJBTp04xZ86cPNvK5XJ++uknpk+fTnx8fIHHMpaypSwxYg82FmYKzAwUT0kmQ165LkgGZj/R6Xgls0Qyyx5MJEkSH3zwAbt37wYy/iY+Pj7Y2dnRoUMHYmJiDBrzr1y594hBi71RqguSccYEWemKmNRrla/mVlZW9O/fn99//53Y2Fi2bt2KnZ0dnp6eDB48mAsXLjB16lROnz5daNZspUqVOHHiBJs3b2b+/PnZXlepdUTEpnPtYQqXHyRzJTyFmxGpvHil/kc8F0X8+3hnhM/KwvgFchMTCWtL4/vJjf/973/MmzePoKAgrK2tadmyJREREYSGhtKmTZs8z/X39+f8+fMEBwfj7e2da+RlpvBdvnyZatWqGZzuqmTJkhw5coRdu3axdOnSPNs2a9aM3r178/XXXxs0ljEUtzLDVGHY30ySoEIZ47ZCmFSuAwYGZ+gkGaO/XUVqamqOr2cKX+aXsYmJCevWraNnz560atWKu3fvGjzvV69eMWDAAMzLV2HSz/vBzDIjiXYupKs1aAXI7eugcHRBkvL3r29mZkZ6ejqQcZPUtGlTpk2bxtGjR4mNjaVZs2bcvXuXyZMnU6ZMGXr06MGKFSu4ceOGUSJUsWJFjh8/zs6dO5kzZw5CCFKUWm5GpHLpQQpPXqpIVupQqgSp6ToSUrTce6bkwt1kImLT0Rpa8qSI/wTvjPA1qG2FERf+uGEAACAASURBVPuIAZDLJByqGrm3KQeEEMyePZu1a9dy6tQpLly4QOvWrfHw8GD37t1vFCelUsn48eOpV68e3bp1o2PHjjm2S0tL4/79+zRo0IATJ07Qrl07o+Zta2tLQEAAa9euZe3atXm2XbRoEbt37853IE1hIUkS1e1sUBRwM50kQaWyxbAycp1QMrPAtGnnPEUjJ9Q6gXnDdliVq8zUqVNzbNO0aVPUajVhYX9umZAkiblz5zJz5kzatWuXa2KCvBBCMHr0aGrWrMnZs2dZssYbs/YfoXB0RSpth1YnUGl1GeuXMjlauSlLfzuC1LIvitrNCxRgY2pqikqV8zKEhYUFgwYNonTp0oSEhPDgwQOGDRvGrVu3cHd3p2LFigwZMoTNmzdnWx/MD+XLlycoKIh9+/ax8sefCXuUSkJKRsKDnDRVp8vw+jx5qSLsUSpqTZH4FZEz74zw9epcFpkxPi+gZHET6jnknnzZEHQ6HRMmTODgwYP4+fkxa9YslixZwrFjxxg7dmy+vkSWLFmCnZ0d165dy9P6un79OrVq1cLMzKzAgS25YWdnR0BAAIsWLWLbtm25titVqhSLFy9m3LhxbwyKKWxMTGQ42JfCTCEjLTUlT0tBJmWIXpUKJbApXjg3ObIStpg6uYGJKbypSoYkQ0gyJq75Bb9LN1m9ejW+vr74+/tnbypJ9O3bV+/u/CsjR47k559/xt3dHV9f3wLN19vbm9DQUC5fvsyuXbuoUKECkiQhL10Rs2ZdGbHBj1NpJTBt6Y5Zuw9ZdvoBr0rYYVki+5rem/irxZcTXbt25ciRIwgh9OuDXl5ePHjwgODgYNq2bcvBgwdp3Lixfn3Q19eXV69e5Wv8smXLcuBwEE1au+e7bqUQkJau48bj1CLLr4gceWeEz66cGTWrFjzpdCbmZjIGdC/7RiFSqXVcuZnEifPxBJ2NJ+TaK1LScg4JV6vVDBkyhLCwMP73v//RpUsXLCwsCAkJyXf4/927d1m9ejWPHz9mzZo1uZbLgQw3Z5MmTdBqtQQHBxtt8WVSvXp1jhw5wpQpU9i7d2+u7YYNG4aJiQnr168vlHELgolchu/vG9m51YtiVqZIEshkEjJJ0v9UmMgoV9qaetXKUNyq8IrnQkaEp1nbfsgd3vvTbZgZ+CLJMqwnEwXyKvUxb9uPsbO/ZeTIkURERLBx40ZGjhzJy5cvs/X713W+1+nWrRuHDh3i008/faNFnsm1a9eYMWMGSqWSZcuWZakCn8n1W7ep7FAHmVVJtHIF69evN3hj+JuEz8HBAYVCkaV0USbVq1dn9OjR/Pbbb8TGxrJt2zbs7OxYtWoVdnZ2+ioPp06dytWq1OoET5NMMTUrWGS2ANLUOh7G5D73Iv67vDP7+ACu3U5m1rL7Bc7cIkkZ1t6m5fWwMM/5jj32uQqfo3EcDHqecUBk/HNIEmg0gvYtbOjnVpZqlTOsiNTUVAYMGIAQgnbt2vH999+zevXqAmWTF0LokySXLl36jVkuxo0bR61atWjbti1DhgzJ8cvEGC5duoSbmxvbtm3LtaTM1atX6dy5Mzdu3KBMGSPC5QvIixcvqF27NsHBwdSuXRu1RosyXYNGJ/SiZ2Fm8lZyi76OEAJdfDQiOR40apCbIFlYIytTKUvdxN9++42vvvqKc+fOsWTJEmJjY9mxY0eWvnQ6HZUqVSIoKChbHcJMwsPD6dq1K/3792fhwoW5XmNycjJNmzbFzMwMZ2dnVqxYka2NVqvF2tqaFy9eYGlpyf79+1m8eDFnzpwx6L3o2LEjs2fPxtnZOdc2n376KQ4ODnz55Zf57jctLY0zZ87o9w/eu3ePtm3b6vcPZiaZiH6p4lFser6tvdeRSeDkYI1c/vY/N0X8e3hnLD6ARnWsGTu4Emam+f+QShJYmsv4fpZDjqInhGD7vmeMmHqTff5xpKbpMh5KHWnKjN9VakFg8EsmzrvD4h8f8eJlAl27dsXMzAydTsfevXs5f/58gUuo7Ny5k8ePHxMWFsaqVave2D4zsMWQbQz5oWnTpuzZs4dBgwZx+vTpHNs0btyYgQMHMn369EIfPy8WLFjAgAED9OKgMJFTzMoMm2LmlLA2w9Jc8beIHmS4KOWlKmBiXw+T6o0xqVIfedkq2YoFDxgwAA8PD3r16sWcOXO4cuVKNuGTyWT06dMnV6sPMiyj4OBgAgMDGT58eI7RkZlp6UxNTbG1tc11n1tERAS2trb64CkvLy+j0oDltcaXSZcuXQq8rcHCwoJOnTqxZMkSQkJCCA8PZ/jw4dy6dYtevXpRsWJFBg8ezJ3HLw0WvUxiEwsn2rSI/z+8UxZfJoHBL1nxcwQ6HXkuUJubybC0kLF8pgOVKuTsClmzJZIjJ1+iTM/fupWpApLjb1FC/E7IxQsMHTqU+fPnZ9to/iYSExOpV68eVlZWzJo1i2HDhuXZXqvVUqJECZ48ecKwYcP46KOP3loCaX9/fwYPHszhw4f1xWBzmvuuXbto2bLlW5nDX7l//z7Nmzfn5s2bBlV5/ycRQjBkyBDS09P56quv6NGjB5cvX85StSAoKIgpU6a8MXAoNTWVgQMHkpaWxu7du7PUcdy0aRNff/01CoWCkJCQLIWN/8qRI0dYtmwZAQEBRERE4OjoSGRkZL7yt+aEu7s7I0eOpFevXrm2SUxMpFKlSsTExBg8zuuEh4cTfO4Slet1KLCb83UsTCUcaxgX/VvE/y/eKYsvk06tS7FhaT36drXl/9q787gqy/z/46/7PiubgIioLCJuKaa5l5MLJqJpjkm2mGFauVGWpjWmNlNONY01Zjn2M3MsGm20UTMXXBi1zCxHo7TJjURFSAUSkPVs9++P84WEEM5yg8C5no8HM+N47uvcp87hfe7rvq7Px8dLxttob8Cq1dg7MRgNMqGtDCQmhPHBG9E3DL0tu7PZ+Xmuw6EHYDKDzjuKzGu38+GHH/Laa685HXoAixYtIiwsjHbt2jnUcuX06dOEhITg5+fHgQMH6uSKr9zw4cNZuXIlo0aNqnY61d/fnyVLljBz5kwsFjdb3zhg/vz5zJkzp9GFHtivDt9//32ysrLYunUrTz31FFOmTKm0QGjgwIFkZGSQnp5e41je3t5s3LiRqKgoBg0axM8//wzAjz/+yOzZsykuLmbLli03DD2wv4/KC6KvXr2aCRMmuBVGtd3jA/v7pXymQi1RUVGMumcsXl7uV10yidWdQhUNMvgAWgbpeeyBUDasuJXnZ0QydUIok8e3YcbEMJa80IE1S7oSNygIo6H6l2Ay21jz7yyXOj1IsoGQiOF0v821xSVHjx7l448/5syZM6xcudKhKbryac4ffviBoKAgWrdu7dJzO+ree+9lyZIlxMXFcfbs2d/8/UMPPURgYCDvvvtunZ7HoUOHOHToELNnz67T56lLRqORzZs3s3btWiIiIigoKGDFihUVf6/Vavn973/Ppk2bah1Lq9Xy7rvvMn78eAYMGEBqairjxo1DlmVWrVpF9+7dazy+PPgsFgurV692u9uBwWCodaoT1C9fBvatCWoQCzuFququRbRKdFqZO3rV3JmgOgeP5LlZ/Fjis5RsHn+w+vJjN2K1Wpk+fTrNmzdn5syZREZGOnRcefCpsX/PURMnTuTatWsMGzaMAwcOVCq1JkkSy5cvZ/DgwYwfP97t1k3VURSFuXPnsnjxYtWmyG6Wli1bsnXrVmJiYli2bBlPPfUUsbGxFfcs4+Pjefnllx1aACJJEi+88AKhoaEVBdYTExOJj4+v9djTp08zcuRIduzYQUREhNvFx/V6fa1XfGDf1qB2412tSgtSxLoWoaoGe8XnrvVbr7hV9NpsUdi2NwezxbkxVq5cSV5eHoGBgRVtihxxffDV5TRnVTNmzGD69OnExsaSnZ1d6e+6du3KlClTmDdvXp089+bNmyksLGwy3bejo6NJSkpizpw5zJo1i0ceeaRiocrQoUM5efKkUxu5tVotsixTXFxcUb/1eorFjOXCCcoObqJ07z8pTUnig2ljGOBbyuFdW5g2zf3edo5MdQL07NmT3NxcLly44PZzlvM2yKpcrXkbm+yvOcFFTfIdYbMppF8scXscRYGfLztePPvSpUssWrSInJwcVq9e7XCfMkVRKvbw1dWKzpo899xzjBs3jri4OPLz8yv93aJFi/j888/5/PPPVX1Ok8nE888/z5IlS1Tp59ZQjBgxgoULF7J+/Xr8/Px45ZVXAPuV0+jRo2vcR3m906dPM336dEJCQkhJSWHWrFksX74cAMVqwfzjV5Tt/xjLmSMoRfn2bRc2K4G+3hhL83lmeB/uj9BjyTjl1utxNPhkWSY2NlbVotUGnYyfl3u/omQZQoPU3fMpNH5NMvhKSm1o3KwCA/Y9QNeKHF/cMXfuXAIDA5k9ezbR0dEOH5eRkYFOpyM/Px8fHx8iIiJcOV23LF68mDvvvJNRo0ZRVPRrZ29fX1+WLl1KYmKiakWIwX5lHBUVdcP9hI1ZYmIiQ4cOxWq1smLFCg4fPgzUvJn9eqWlpdx9990A7Ny5k4EDB3Lw4EGWL1/OnxbMp+zrrViz0uy9+KzVvz99vYxI5jIspw5jPnHI5bqZjmxnKFcX9/lCgwxuFTHXSBIBPk3ni5WgjiYZfFqthE2FXRoKoNM59o9o79697Nq1C4PB4PQeuJs1zXk9SZJ466236NixI2PHjqW0tLTi78aNG0dYWBjLli1T5bny8/P585//zJIlS1QZryFaunQpRqORXr16kZCQQHFxMcOHD+eXI8f4ZuIcDg58gC96jeGrIRP435xXKDpzruLYqVOnkpmZyYYNGypWaEZGRnLwwBeM7xyEpeAXxxvQ2ixYM9OwpH3r0utw9IoP7KuF9+7dq+pK4AAfDQadjCvZJ0sQHqyvt/2fQuPRJIPPoJdVuTFutigE+te+/qesrIxp06ZhsVj4xz/+gV7vXGPUhhB8QMXKwYCAAB588MGKKzxJknjnnXf4y1/+wsWLF91+ntdee41Ro0bVukKxMdNqtaxfv56MjAx8fXxYGj+Jw/3jedkcTPYnO8j7+juuHT/F1YNHOf//1vFFrzEcHPgA6xcsZv369cyfP5+RI0dWGrNZ3kWiWgej1Tj5sbVZsJ7/H7aCHKdfhzPB16pVKyIjI/nmm2+cfp4bkSSJ6Agvpz/PsgTB/jpCAtRpdiw0LU0y+AAG3x7odo/RiNZGgpvXHmJLliyhtLSUyZMnV1s7sTbl9/dudvCB/Rf22rVrKSsrY/LkyRX70Tp27MjMmTOZM2eOW+NfuHCBVatWsXjxYjVOt0Hz9/dn65YtxJzK5ZaU7yk88RNaq4JUZcWGYrZgKy0j7+vv0P41iTnterJo0aLKj7HZsGacQFJcXLBls2E59z+nD3Mm+KBupjv1Opnu7bwx6iSHpj1lCVoF6ohqZRBXe0K1mmzwxY9oiU7r+pveyyhz/+jaN1SfPXu2YsrO1V/mqampBAYGIssy7dq1c2kMNen1ejZu3EhGRgaJiYkV94fmz5/PkSNHqu1E4KiFCxcyc+bMG3apb0oURaHozSSG4IfRwck6IzKDskpIf+fDSv+/7coFcDX07GeD7cp5FLNzRZuduccHrpUvc4RBJ9MjyoeoVka89PYAvP6faHnXjiA/LdFtvYkMMYrQE26oyQZfVIQXYa2NuPrel2WJO/vWvH9QURSmT5+OLMusWbMGHx/nWyLl5uaSl5dHeno6gwcPbjAf1vICx0ePHuX5559HURS8vLx4++23efLJJ526Cij37bffsmfPnhv2r2tqLm3eTea6z6DM8eAAsJWUcmrhUvJTf62qY8k8dcOFLA6TJHuAOsHZK77f/e53nDp1ipwc56dVa6ORJVoG6OjZ3pdubb1pG2IgrIWeiGA97VoZ6dPBl85hXvip0NRaaNqabPABLEiMxMuFPTwGvcSLs9rV2hx106ZNHD16lDFjxjBs2DCXzvG7776jR48edV6mzBXNmjUjOTmZ5ORkXn31VQBGjx5Nly5dblgk+UYURWHevHm8+OKLlWpQNmVpr67AWuzathpbmYmf3ryuPVRp9V3enWK1opicOx9ng0+v1zN48GBSUlKcPTun+HppaNNcT0SwgbAWBkICdG7N8AiepUkHX1hrI6//oQPeXrLDV34GvcS8aW3pGV3zL+dr164xc+ZMgGrbwziqrjsyuCsoKIjdu3fzwQcf8PbbbwOwbNkyli5dyrlz5xweJzk5maysLB5//PE6OtOGpeD4KQpPn3N9AJuNy5/uwXz1//ZVujXNWU6xtyl3gqMly65XF/f5BEFNTTr4ADpH+fD3xbfQo4svOp1U7bdCWbYHXvsIL/7yfAcG9au9U/XChQspKyvjvffeIzDQ+c7W5VJTUwkPD6esrKxi6XpD07p1a1JSUnjzzTdZs2YNkZGRzJ49m6efftqh4y0WC/PmzeP11193qeB3Y3Rh1XpsJvf2PVpsNt6Kn0RsbCzf/6BCb0ZZBp1zK44dLVl2vREjRrB7926X9w4KQl1r8LU61RAaYuCv8ztyJcfEZynZ7P3qKkUlVmw28PaS6du9GfHXNaGtzffff8/q1asZPHiwQ/UTa5Kamkrnzp0b1P296rRt25Y9e/YwZMgQfH19mTt3Lt27d2fbtm2MHj0aW3EB1svnoLQIxWZF0huRA1shB7VhzZo1tGjRgnvuuedmv4x6U3TqLFgd3Gt3A7LZQitJx+zZs2kXbID8i05fsVUmIQe0dOoIZ6c6Adq3b4+3tzfHjx9v0ltWhMbLI4KvXMsWeh5/MNTpwtPXs9lsTJo0qaIdjTuKi4s5d+4cZ8+ebZDTnFV16tSJ5ORkhg8fjo+PD8uXv8P6FUu5K1hCKs6zT8dd9y3fmnkaRZK5fHQfS5e83qCDXU1lZWUU5l5VZaweHTrT/e67UUqLKPuy9qovNZG8fJGbtXDqGFeCD35d3SmCT2iIPCr41PDee++RlpbG0qVL3W4ddOzYMW655RYOHDhQZ4Wg1dajRw+2bNnCuLFjObx2OW9MG49UmFv9g60WJGDWvbHoyy5gK+qC7ON8p42GpLi4mMzMTC5evFjpJyMjo+J/5+fn82ddOF1xf3WhPtg+jS4ZfZACW6HkOl7kuhKNFm0750PI2e0M5eLi4li2bFmjeV8LnkUEnxOys7OZO3cuXbt2VWWRRmpqKp06dSIlJYUuXbqocIb1o3///hxZ+zbGsjyMhtrvGem1GjCVYjqyA32/0cheDXNVZ2Fh4W8CrWqwFRUVERYWVumnS5cuxMbGEhYWRnh4OMHBwZxZvJyzb7yPrdT5q6VykreRZrfeUvFnXcfemK5eBpuT2xokCUnvhRwS6fQ5uHrFFxMTw8MPP0xRUZFL23wEoS6J4HPC9OnTsVqt/Otf/1Jl2i41NRWDwcCgQYOQ3S0zU48s6cdoLpvBgdCrfKAZ07e7MQy4F0mq39ebn59/w1ArDzaTyUR4eHilUOvRowejRo2q+HOLFi0c+nff9okHOPvGKrfOubikhDGvLuDhrNNMmDCBkJAQdN0HYz623/FanZIEOgP6viORNM5/3F0NPj8/P/r06cP+/fsZNWqU08cLQl0Sweegzz//nO3bt7No0SKioqJUGTM1NZU2bdowdOhQVcarD4rNivXCj47/4q3KXIYtJxNNcLg656Mo5OXlVZpqrO7HZrMRHh5eKdj69u3LvffeW/HnwMBA1e5DGtuEEDTkdrJ3HcCVjsiSXkfXJx9hyYh+JCUl8fLLLzNgwAASEhIYM3Ag0okv7VXUa7r602iRjD7o+4xAMrjW6NfV4INf7/OJ4BMaGkkRa45rZTKZiIyMxNvbm5MnT6LVuv99wWw24+/vT1hYGBs2bOC2225T4UzrnvVSOuaTh9yqIiL5B2PoM7LWxymKQm5u7m/uoVX90el0FeFV9Yqt/KdZs2b1vrgm7/AxDg17BFtJae0PrkLj683gYzvwCrffRy4qKmLz5s0kJSVx5MgRJjwwnifHjyZSWwLmMvuVnaLY/9tmQ/IPRht5K3KLULde95kzZxg5ciRpaWlOH/vdd99x//33c/r0aZefXxDqgrjic8BLL71Ebm4uycnJqoQewMmTJ2ndujU5OTnceuutqoxZHywX/ud26Szl2i9YiwrIKSypdnFI+U9mZibe3t6VAiw8PJyYmJiKP4eGhjbYSjAB/brTbdkifnh6sVPhV4ZC0OInK0IPwMfHh4kTJzJx4kQyMzNZu3Yt8U/9gZKSEubNeJwxcXfRKrgFaPXIvoFIXr6qvAZ3rvi6d+9OQUEB6enpDaIGrSCUE8FXi3PnzvHGG28wdepUevToodq4qamphISEEB0d3ag6kCvF19weo6CwkEdjh3Ak7eJvrszi4uIqhZq3t2tTdA1F+OT7kPQ6js94EcViQTHf+EuDbNAj6XV4zZ/C+Jfn81mfaG6//fbfPC40NJTnnnuOefPmkZqaSlJSEr1ix9CxY0cSEhK4//77CXBsS2qt3Ak+WZYZPnw4u3btYvr06eqckCCoQEx11qJv376cP3+ejIwMDAaDauPOmTOHQ4cOcd999/Hss8+qNm5dK937T7fLZ9kkDXKnfhjDOqp0Vg1f4el00t/+kMyPPgVZwlpUYp+alGU0Pl5IskzbmQ8TOX0CxjYhJCcnM2nSJLZt20a/fv1qHd9sNrNr1y6SkpLYvXs3w4cPJyEhgbi4OLeq5eTl5REZGUleXp5Lx69du5Z///vfbN682eVzEAS1ieCrwdq1a5k0aRIpKSkMGTJE1bFjYmJIT0/nk08+oW/fvqqOXZdK969zv0uARoeu2yA0LZp+a6KqLEXFXPp0DyXnLmLOu4auuT9+XTrQctQQ5CoBtW3bNh577DG2b99Onz59HH6Oq1evsmHDBpKSkkhLS+Ohhx5i0qRJ3HbbbU7f7ysuLiYoKIiSEteKbWdnZ9OxY0eys7M9plyd0PB5fPBZbQpFxVZ0WgmjQa74xVBUVERISAixsbGqf1tVFIWAgAAUReGXX35R7b5hfSj7egtKUb57g8ga+36+Rr6ZvT589tlnPPHEEyQnJ9OrVy+nj09LS+Ojjz4iKSkJX19fEhISePjhh2nTpo1Dx1utVnQ6HVar1eVFMn369OFvf/sbgwYNcul4QVCbRwafyWTji8N5rN92mQtZpWg0EopNQZYlBvYL4L6RLXnhuUfZsWMHly5dwtdXnYUC5dLT0+nduzf9+/cnOTlZ1bHrmiXrDJbT/3VvVadvIIb+nlO3012ffvop06ZNY+fOnfTs2dOlMWw2GwcPHiQpKYmNGzfSt29fEhISGDt2bK0bzLVaLSUlJS5fsS1YsACAV155xaXjBUFtjWfXtAoURWHjzsuMTzzOOx9mcD6zFEUBi0XBagOzRWH/11d5+qWTZBTfx5KlH6oeemBf2OLv798o6nNWpQlp59K+tF8H0KJt2029E/IAY8eOZcWKFYwcOZLvv//epTFkWWbgwIGsWrWKzMxMpkyZwrp16wgLC2Py5Mns27cP2w0KYLtatqycaFMkNDQeE3yKovDOBxl88MklSkptlJRW/yG32cBskfANaM/Owx04kVak+rmkpqZSUlLSKINP0mjRhHYC2cWVqLIWuWWEuiflAeLj43nnnXcYMWIEx48fd2ssLy8vHnjgAbZv386JEyfo3r07c+bMoV27dixYsIBTp05Verw7KzsB7rjjDn766SeuXLmCYrOhWC2iZZFwU3nMVOdHm39mw/bLlJU593K9vWT+/nJnQlsZVTuXuLg4Dhw4QH5+fqO84a/YrJi+3Y1SkOvcCk+NFn3vEch+zevu5Jq49evX88wzz5CSkkJ0dLSqYx87doykpCTWrl1LREQECQkJPPjgg0RHR5OamupyUXZbUT7bVr5JTHQUOhnAfq9Q8gu0b7JvGYHk6hcpQXCBRwTfpewyHn/+BCazC6WjJOh+iy9LXlBv6X1QUBBdunThyy+/VG3M+qZYzJi+34tSkFN7+TJJsofebbHI/s61xRF+a926dcydO5eUlBS6du2q+vgWi4WUlBSSkpLYsWMHJpOJt956i0cffRS93vH6rLaSa5iPf2EvWGC1oKlucYxGC5KEtn0vtBGNp1C70Lh5xFTnZ3uysbkY74oCP6YVcTnH9Xsc17ty5QpFRUXExcWpMt7NIml16HvGou3YB4y+9l9gVclakLVo2nTC0H+MCD2VTJgwgb/+9a/ExsZy8uRJ1cfXarWMGDGCdevWceHCBfz8/Fi9ejWhoaE8+eSTHD58uNapStu1XzB9vRUl3/7FqNrQA/siKYsZy5kjmE8cElOgQr1oPOvoXWQy29i+LxeLxfUPlKLYw/OJh5zfd3Y138zuL37hpwvFFBZbuZafTWT0FHr1HeLy+TQUkiyjDeuMJrQTSn42lp/ToLT4/zqwG5CDQtGEtHOpK4BQs4kTJ2Kz2Rg2bBj/+c9/6Ny5c508T7NmzQgODub999/Hz8+Pf/7zn0ycOBFZlklISGDixIlERFS+Z6uUFmE6shMsTnxZtFmxZv0Eei907RtH3Vqh8WryU53f/XiNP711luIS96qNtAjUse5tx1cjnjpbxMdbLvPfYwVIEpWmWa2WMoxGIz27+TFhTCu6dhT9ygTXrFmzhhdffJG9e/fSsWPdVMLp3bs3K1eurNhErygKX3/9NUlJSWzYsIEePXowadIkxo0bh5+fH6bUFGw5mdjbRzhJ1qC/Yyyyd8Osvyo0DU1+qjP/msWlz19VRSWOt+HZ9p8c5r5yhkOp+Zgtym/uLWq0BswWhf9+V8DzfznDpp1X3D9BwSNNnjyZP/3pT9x1110udVBwhMFgqLSdQZIk7rjjDt59912ysrJITExk06ZNhIeHk/jEY1hyLuLyh05RsGacUOfEBeEGmvwc1A22JjnN0evibXtzWLnucJ3jEgAAB5VJREFUImWm2g9QgDKTwppPslAUiB/Z0r2TFDzSY489htVq5a677mLfvn2q9Yssp9frb7idwWAwEB8fT3x8PNnZ2Zzeswmz2YzB1dXKig1r5mm0HXqJKXKhzjT5d5afrwY12rB5GWu/OD5zrpiVax0LveuVmRQ++HcWt7T3JrqT+hvmhaZv6tSpWK1Whg4dyv79+4mMjFRtbEf38QUHB+MXEQQlhW4+o4Qt7zKaIM+r5SrUjyY/1dmlgw8Wq3tznbIM/Xo0q/Vx67dedmnLBIDJpPDxZ5ddOlYQAGbMmMG8efOIiYnh/Pnzqo3r1AZ2sxqrnxUwOd+8VxAc1eSDz8dLw5D+gWjceKVarcS4ETVPQxZcs/B1ar7L1bwU7AtxcvPMrg0gCEBiYiKzZ88mJiaGCxcuqDKmUyXL1For17TX3Ak3WZMPPoBxI1ui1bo+3xnR2ki78Jo7e6Yc/KW8IIVbdu7PdX8QwaPNmjWLWbNmERMTQ0ZGhtvjOXXFp1WjEpEEOvV6XwpCVR4RfO3CvRjYLxCD3vmXa9BLPPVoeK2PS88oweTkvb2qTGaFcxdd63smCNd75plnmDlzJkOHDiUzM9OtsZwJPk2LMNz+BqjYkP2D3RtDEGrgEcEHMOexCKI7+mDQO/6hNOgl/jAjki4dat9nV1js+HaH+hhHEJ599lmeeOIJYmJiyMrKcnmcqtsZaqKJ6Gq/Ke4GOTgcSa9ebVxBqMpjgk+rlXhlXnvuGtAcnU5Cp7txAHoZZXx9NPx5bnt+1yfAofH9fNQpsuvrLYr1Cup57rnnmDx5MkOHDuXnn392aYyatjNUJfsGIPk69pmpfgCNaFsl1Lkmv53hehqNxDOPRfDwva3YlpLDZ//JwWpVKr6gmi0KkaFGHrgnhAG9Apy6LxgZ5oVBLzm9leF6Op1EVC33EgXBWfPnz6+01SEkJMSp451tS6Tr3B/T0V21Fy+vStYgB7URNV2FOudRwVcuuLmeyfe34ZFxrbmUXUZhsRWdViLAX0dQgGs354fd2Zx/bHB9Oqlc3OAgt8cQhKoWLlxYEX779u2jZUvHiyU4G3xyQEu03QZi+eGA4+Ena5D8mqO7tfH1qBQaH48MvnJarURYa3XuJTTz1TKgtz9ffJPnUicICejdzY/mLgavINTmj3/8Y0WFl7179xIc7NgCEmemOstpQyKRtHrMx/bZtyZYLdU/UJJAkpGDw9F1Gyj68gn1wqODT20PjA7h0Lf5Lk136vUSD41pVQdnJQi/eumllyp1dWjRovZpRYPBQEFBgdPPpQlqgzz4QWyXz2M5dxyluODXhS+K/T80bTqgieiK7F17gQhBUIsIPhW1b+tNYkIYf09yrmyZQS/x+IOhDq0eFQR3SJLE4sWLsVqtFeEXFFTz9LqzU52Vnk/WoGkdhaZ1FLaSa1BWYi+gq9MjeTcT9TiFm0K861Q2YnALJEli+YcZmM1KjdOekgR6ncTUh0K5Z5jYtyTUD0mSePXVV7FarcTGxpKSkkLz5s1v+Hh3gu96spcfeIl2Q8LN5zHbGepT3KAg3nqxEwP7B6DXSb/ZO6jXSeh1Er/r48+bCzqJ0BPqnSRJvP7668TExDB8+HCuXr1a7eNshVeJbKanW0gzrLlZKKVF9XymgqC+Jt+I9mYrKLSQ8uUvpGeUcK3Iiq+3hrZhRmLvbE5AM7GQRbi5FEVh9uzZfPXVV+zevZuAgAAUqwXrpXSs546jlBZjsliwWMx4e3mDYkUKCEEbeSty89ZIarQ+EYR6JoJPEDycoig8/fTTHD58mD0b16E7fajmlZgAGi2S0Rd97+FIBu/6O1lBUIEIPkEQUBSFt196gUl9ozDqHZyJkGTQ6TH0vwfJKBZmCY2HCD5BELAV5mE6vK3mq7zqSJL9yu+O34sVmkKjIRa3CIKAJe1b50MPQFFQTCVYL6erf1KCUEdE8AmCh1NMJdhy3WhdZLVgTf9BvRMShDomgk8QPJzl4mm3x1BKC7Hl56hwNoJQ90TwCYKHs+VcdL6TQlWKgi3vsjonJAh1TASfIHg6i2NNZmuk2FDMKowjCPVABJ8geDpJnV8Dkpud1wWhvoh3qiB4OFU2oMta0IsmykLjIIJPEDycJrQTuL0Hz4amZYQq5yMIdU0EnyB4ODk43O3pTrlFGJJenabOglDXRPAJgoeTZBlNRBdwtfu5rEHbtpu6JyUIdUgEnyAIaCNvRfJuZm8S6QxZgya0E3JAy7o5MUGoAyL4BEFA0mjR946zh5+jqzNlLXJIJNrO/er25ARBZaJItSAIFRSrGfPJb7BdSgcksFVTv1OjBUlGG3Ubmoguoief0OiI4BME4TcUswnrz2lYLpwAUwnYbCBrkHwD0EZ2Q24RLvbtCY2WCD5BEATBo4ivbIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJHEcEnCIIgeBQRfIIgCIJH+f856szF0wmxAAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -289,7 +267,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.542147Z", @@ -304,7 +282,7 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 41, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -323,36 +301,16 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 17, "metadata": {}, "outputs": [], - "source": [ - "pagerank = skn.ranking.PageRank()" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "pagerank.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -368,7 +326,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:54.855665Z", @@ -382,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -391,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -401,7 +359,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -424,7 +382,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -433,7 +391,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -444,32 +402,21 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.922265Z", "start_time": "2019-07-15T12:29:58.912169Z" } }, - "outputs": [ - { - "data": { - "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pagerank.fit(adjacency, personalization)" ] }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -485,7 +432,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 27, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:59.507410Z", @@ -495,7 +442,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdd1xV9f/A8ddd7HHZCAg4cisuco9wj0wy9ZsjNTVLTdNsuFdqjjKtNHOvtFIzJbcGTsxt7lwoIEtANnd9fn/w8xaBs+wifJ6PB4+H3PM557zvuT7um89WCCEEkiRJklRCKC0dgCRJkiT9l2TikyRJkkoUmfgkSZKkEkUmPkmSJKlEkYlPkiRJKlFk4pMkSZJKFJn4JEmSpBJFJj5JkiSpRJGJT5IkSSpRZOKTJEmSShSZ+CRJkqQSRSY+SZIkqUSRiU+SJEkqUWTikyRJkkoUmfgkSZKkEkUmPkmSJKlEkYlPkiRJKlFk4pMkSZJKFJn4JEmSpBJFJj5JkiSpRJGJT5IkSSpR1JYO4HElJOVy9UYGGZkGrK2UeLhbU/kFRxQKhaVDkyRJkp4jRTrxmUyCE2dSWLvpNmfP30OjUSIEKBR5xxwdNLwe6ke7Ft442BfptyJJkiQVEQohhLB0EIVJSdXx3vizxMZlk51jemA5G2slKGDqR1VoUNftP4xQkiRJeh4VycSXnKLjzREnSE3VYTA+3jnWVkrGvleRkCaezzY4SZIk6blW5Aa3GAwmho09Q8oTJD2AXJ2JafMuc/5y2iPL9u3bl3HjxgFw4MABKlas+LThSpIkSc+ZRya+9evXU69ePezt7fH09KRevXosWLCAf1pR/Gvy+av9kXeJT8zF+ARJ777cXBMLV1xnxYoVNG7c2Px6WloajRo1okuXLuj1+nznNGnShMuXLz/5zYCbN2+iUCgwGAxPdb4kSZL033to4vvss88YPnw4H3zwAXFxccTHx/PNN99w6NAhdDrdMwlo7YZbZOc8Rdb7fxeupJNy78/YUlJSaNmyJQEBAXz//fdoNJp/I0xJkiTpOfXQxDdhwgQWLFjAa6+9hqNj3tSBWrVqsXbtWqytrQFo3rw5S5YsMZ/z19qWEIIRI0bg6emJs7MzNWrU4Ny5c3z77besXbuWWbNm4eDgwMsvvwzAhx9P4bslnTiyvR0nw/tw984BAExGHZE7OpCZdt18H31uKke2tUaXm5IvZpNJcPx03mtJSUmEhIRQtWpV1qxZg1pdcORneHg4fn5+5t8DAwOZPXs2NWrUwN7env79+xMfH0+7du1wdHSkZcuWpKTkXb9p06YAaLVaHBwcOHLkyOM8c0mSJMmCHjoHIDc3l1deeeWpL75r1y7279/PlStXcHZ25tKlS2i1Wt566y0OHz6Mn58fn3zyibm8QuVN3WZfYVJoSboTzpXT06jjshYrGzfcSjUlKXYf9k5lAUi68ytObkFYWbvku6fBILhxK4vU5GSaNWtGkyZNWLhw4RPN99u4cSO7d+/GYDBQq1YtTp06xdKlS6lSpQrt2rVj/vz5TJw4kf3791OmTBlSU1MLTaqSJElS0fPQGp+7u3u+L/SGDRui1WqxtbVl//79j7y4RqMhPT2dS5cuIYSgcuXKlCpV6oHlg+q0Q2XlhkKhxMMnBFt7X9JTLwLg4dOCxNi95rKJMXvx8G1Z6HVyc03cvn2bK1eu0K1bN9avX0///v3Jzc19ZMwA7777Ll5eXvj6+tKkSRPq1atHrVq1sLa2JjQ0lFOnTj3WdSRJkqSi56HVlKSkJAwGgzn5HT58GAA/Pz9MpgfPrbsvJCSEoUOHMmTIEG7dukVoaChz5szBycmp0PKH9m/k+K9fk5N5BwCjMRuD7h4Azu61MRlzSU+5gMbalcy0q7h6Nyn0Orm6bGxtbXF2dqZFixbY2tqSk5PDggULHhkzgJeXl/nftra2BX7PyMh4rOs8S0aj4I/rGaTc02E0CRztNVQo54CtjcrSoUmSJBVpD0181tbW/Pzzz3Tp0uWBZezt7cnKyjL/HhcXl+/4sGHDGDZsGAkJCXTr1o3Zs2czderUAk2PUVFRLF7wEUGN52JlVwmFQsXp/f0R5I0eVSiUuJd6icTYvVhZu+Li2QC12q7QmEyGLBITE82/Z2dnA3kjOCtVqsSlS5dQq9WPlbwfxhLLpaXe0xO2+w7fb44mJ9eE8i91dqNR0DbEi26d/PD3K/zZSJIklXQPTXwTJ05k8ODBCCFo27YtdnZ2nD17lszMTHOZmjVrsmnTJgYMGEBsbCxLly4115COHTuGyWSidu3a2NvbY2Njg0qVVyPx8vLi+vU/B6tkZmaiVCpQqZ0BiL+9ncz0G/ni8fBtwcXj49BYOeFfcUChMdvaqGjXqiLO1vUpU6YMmzdvJjs7G6VSibW1NZGRkdy4cYNjx46xdOlSrKysMBqNNG7cmCpVqpCRkUFMTMxjPTwPDw+USiXXr1+nQoUKj3XOP/HzjljmLb6Ggrx5i4XZuusO2/fG07yRO6OHVUStLnJTNSVJkizqod+KH374IZ9//jmzZs3C09MTLy8vBg0axMyZM2nYsCEAI0aMwMrKCi8vL/r06UPPnj3N56elpTFw4EBcXFwICAjAzc2NUaNGAdC/f38uXLiAVqulc+fOVKlShffff5+zh4bw2+5QstKu4+RSPV88ji5VUKls0OXcxcWzXuFBK6DSC46oVCq+++471qxZg4ODA0FBQdy4cYPt27fTs2dPxo4dy82bNxkxYgQ2Njao1Wp27dpFcnIyffv2RalU4ujoyM8//8zKlSsZPnw43333HampqeZb2dnZMXbsWBo1aoRWqyUyMvKpPoTHsfKHKL5ccg2dzvTApAdgNOYlxfDDSbw/6XcMxiK3MI8kSZJFFbkly27cymTAiJMP/XJ/ECuNgtD2vrw7oFy+1+/evYtCocDV1fWxrmMymbh48SIREREcP36cixcvcuvWLZKTk8nJyTEnRW9vb8qVK0eNGjVo0KABzZo1w9nZ+YnjfpTdEfF8Ov/KEz8Ta2slLRp7MOa9SubXFAoFf/zxB+XLly9Qfu3ataxcuZJdu3Y98tp9+/YtMCpXkiTpeVDkEh/AivVRrNlwi5zcx/+iV6nAr5QtS+bWeaYDPAIDA4mLi0MIgclkwmQyYW1tjcFgQK/Xo1Kp0Gq1+Pj4UL58eWrWrEmjRo1o1KgRNjY2D732smXLCAwMJCQkxPya0Sjo3OcIKffyrzhzN+4gt68sJyfrDgqFGnun8pQP+gAbu/yjZq2slKz+ui6+3rbAwxPfk5CJT5Kk51WRnHzWp7s/GZkGftoeS+5jJD8rjQIvTxu+nF7zPxnVGBYWRsuWBadSZGdnc/jwYQ4ePMiZM2f4448/iIiIYMqUKRiNRqysrNBqtZQuXZoKFSpQp04dmjZtSq1atVCr1UyZMoXY2FgGDhzIZ599ho2NDb+dSi5Q08vOjOaP0zOoVHcKzm61MRqzSU08hkJRsOXaZBJs3BrDsIH/LNFJkiQVF0Vy5INCoWBo/3KMeucF3FytHpjM1CoTVlZKWjb1ZOnntXF1sfqPI83PysqKbdu28eWXX3Lq1CkGDRpkbh5NSUnhm2++wdHRkbNnz7JhwwbGjRtH/fr10Wg0qNVqoqKi0Ov1LFiwAAcHBz777DPWbrxNVnb+Jdwy713Fxs4brXsdFAoFarUd7qWaYW2bN6hICCO3/1jDiX09OLC1LeM+7MDVa1Hm8/fs2cMLL7yAi4sLQ4YMMa+7+vc1Ti9dukSrVq1wdXWlYsWK/PDDDw9872FhYdSsWROtVkvDhg05e/bsv/loJUmS/jVFMvHd166FNz8tr8/0sVUJrqnF2UmDtZUSezsVzg56bDnAllUNGPNeJezsLF95Xbx4Mdu3b+f06dOcPHmSzZs3m49ptVpWrFhB69atSUtL47fffsPBwYFdu3Zx+/ZtWrVqle9aRqORUaNGcfJs4t9vg4NzBbIybnH9/FekJp3CaMjKdzzm+o8kxe6l8oufUr/tNqq+OJrE5D9btMPCwjh27Bhnzpzhhx9+YOfOnQXukZmZSatWrejRowcJCQmsW7eOwYMHc/78+QJlT548yZtvvsmiRYu4e/cugwYNolOnTo+9YIAkSdJ/qUgnPgClUkFwTRfmTg3il7UN2buxCTu/b8yyL6oTGTEXa6v/vouyc+fOaLVa88/ixYsB+OGHHxg+fDh+fn64uLjw8ccfm8+5ffs2Bw8eZObMmdjY2FCzZk0GDBjA6tWr8fPzw9vbGwAnJyf69evHsmXL8qZ/KAvWYm3sfaje4At0OUlcPjmJo7te4Y/TM8wJMP7WL/hX7I+dgz8KhQJnl/KoNX8Ouvn444/RarX4+/vz0ksvcfr06QL3CAsLIzAwkH79+qFWq6lduzZdunRhw4YNBcouXryYQYMGUa9ePVQqFX369DFPHZEkSSpqLF9NekpeXl6ULVuWyMhImjQpfAWXZ2Xz5s2F9vHFxsZSunRp8+9//XdsbCyurq44OjqaXwsICOD48eMA+Pj40LZtW8LCwlCpVNy8eZOcnByEMICi4Mfk6FKVSnWqApCeeonLJydz+481BFZ+C112AjZ2Pn8WFqBR/znZ/n6ShbwpGYWtRBMVFcXRo0fRarXm1wwGA7179y607MqVK/nyyy/Nr+l0OmJjYwuUlSRJsrTnNvEBtG3blu3bt//nie9BSpUqRXR0tPn327dvm//t4+NDcnIy6enp5uR369YtfH19gbx1Td3c3MwT/O+ztVWRnfPw+zpqK+Hm3YSs/5/wb2XrSU5WrHlBb4NR4OL8ZP2fpUuXplmzZuzevfuxyo4dO5axY8c+0T0kSZIsocg3dT5Mu3bt2LFjh6XDMOvWrRvz5s0jJiaG1NRUZs6caT5WunRpGjZsyOjRo8nJyeHs2bMsXbo034T/woQ09uRvuZC05LPERYWZt2TKyogiOf4wji5VAPDy78Cty8vIzohGCIHCFIW9bdbfL/1QHTt25MqVK6xevRq9Xo9er+fYsWNcvHixQNmBAwfyzTffcPToUYQQZGZm8ssvv5Cenv5E95QkSfovPNeJr379+ty4caPA+qDP2ssvv4yDg4P5JzQ0FMhLAK1bt6ZGjRrUqlWL9u3bo1arzbW4devWcfPmTXx8fAgNDWXy5MkFBrX8XddOvqhV+T8mldqB5PhDnI54kyPb23Lh6Ie4eTfBt9zrAPiW7Yq7T3POHx3F0Z3tuXluDjk5j6g2/o2joyO7du1i/fr1+Pj44O3tzUcffVTogJW6deuyePFihg4diouLC+XLl2fFihVPdD9JkqT/SpGcwP4kunbtSseOHenTp4+lQylg+/btvP3220RFRT268EMMGHmSy1fTeZpPysZayZbVDbGzlbs2SJIkwXNe44M/+/mKguzsbLZt24bBYCAmJobJkyeba4P/xIT3Kz3VxHxrKyVjR1SUSU+SJOkvnvsaX0xMDDVq1CAhIaHAwJD/WlZWFs2aNePSpUvY2trSoUMH5s2b98D9B5/EhStpjBh/lqxs42PV/DQaGD7wBTq383l0YUmSpBLkuU98ADVq1GDRokU0aNDA0qE8U7djs5j+xWUuX83AJAQGQ/6PTqHIa9pUKnJIi1vDwV+XWfyPAUmSpKLmuW/qhKI3uvNZKe1jx8JZtVj1VV06ty2Fs5MatVqBUgl2tioaBrsxZ1INtq0LwUZ1i3nz5lk6ZEmSpCKnWNT4fv31Vz766CN+++03S4dSZFy7do169epx5MgRXnjhBUuHI0mSVGQUi8Sn0+nw8PDg6tWreHh4WDqcImPevHls3LiR8PBwlMpiUbmXJEn6x4rFt6GVlRUvvfTSY22gWpK8++67mEwmvv76a0uHIkmSVGQUi8QHJaef70kolUqWLVvG5MmTuX79uqXDkSRJKhKKRVMn5C2UHBwcTFxcnGzW+5s5c+awbds29uzZI5+NJEklXrH5FgwICMDd3Z2TJ09aOpQiZ8SIEWRlZfHtt99aOhRJkiSLKzaJD4rWKi5FiUqlYtmyZYwfP/4fL58mSZL0vCtWiU/28z1YlSpVGDlyJAMHDqSYtG5LkiQ9lWLTxweQk5ODp6cnN2/exNXV1dLhFDkGg4H69evz9ttvM2DAAEuHI0mSZBHFqsZnY2ND06ZN2bNnj6VDKZLUajXLly9n9OjR+TbMlSRJKkmKVeKDvOZO2c/3YNWrV+fdd9/lrbfekk2ekiSVSMUu8bVt25YdO3bIL/WHGD16NLGxsaxatcrSoUiSJP3nil3iK1euHI6Ojpw5c8bSoRRZGo2G5cuX88EHHxAbG2vpcCRJkv5TxS7xwZ+1PunBatWqxaBBg3jnnXdk7ViSpBKlWCY+2c/3eMaNG8e1a9dYt26dpUORJEn6zxSr6Qz3ZWVl4eXlRXR0NM7OzpYOp0g7duwYHTt25OzZs3h5eVk6HEmSpGeuWNb47OzsaNSoEXv37rV0KEVecHAwb775JkOGDLF0KJIkSf+JYpn4QPbzPYmJEydy4cIFfvzxR0uHIkmS9MwVy6ZOgMuXL9OyZUtu3bqFQqGwdDhFXmRkJKGhoZw9e1Zu5itJUrFWbGt8FSpUQK1Wc+HCBUuH8lyoX78+PXv2ZNiwYZYORZIk6ZkqtolPoVDI0Z1PaOrUqZw4cYLNmzdbOhRJkqRnptgmPpDbFD0pW1tbli1bxpAhQ0hOTrZ0OJIkSc9Ese3jA8jIyKBUqVLcuXMHBwcHS4fz3Bg+fDgpKSlySTNJkoqlYl3jc3Bw4MUXX2Tfvn2WDuW5Mn36dA4dOkRYWJilQ5EkSfrXFevEB3Jz2qdhb2/P0qVLefvtt0lNTbV0OJIkSf+qYt3UCXDu3Dlefvllrl+/Lqc1PKHBgweTk5PDsmXLLB2KJEnSv6bY1/iqVq2KwWDgypUrlg7luTNz5kz27dsna8ySJBUrxT7xKRQKObrzKTk6OrJ48WLeeust0tLSLB2OJEnSv6LYJz6Q/Xz/RKtWrWjTpg0ffPCBpUORJEn6VxT7Pj6Ae/fu4efnR3x8PHZ2dpYO57lz7949qlevzvLly2nRooWlw5EkSfpHSkSNz9nZmdq1axMREWHpUJ5Lzs7OLFq0iAEDBpCRkWHpcCRJkv6REpH4QK7i8k+1a9eOZs2a8fHHH1s6FEmSpH+kRDR1Apw+fZpu3brJ0Z3/QEpKCtWqVeO7776jWbNmlg5HkiTpqZSYGl9QUBDp6elcu3bN0qE8t1xcXFi4cCH9+/cnKyvL0uFIkiQ9lRKT+O5Pa5CjO/+ZTp06Ua9ePcaOHWvpUCRJkp5KiUl8IPv5/i3z589n/fr1HDp0yNKhSJIkPbES08cHkJycTGBgIAkJCdjY2Fg6nOfaxo0bGTNmDKdPn8bW1tbS4UiSJD22ElXjc3V1pVq1ahw4cMDSoTz3unTpQlBQEBMnTrR0KJIkSU+kRCU+QO7K/i/66quvWLVqFUePHrV0KJIkSY+txCU+OcDl3+Pp6cm8efPo168fOTk5lg5HkiTpsZS4xFenTh2SkpKIioqydCjFQrdu3ahUqRJTpkyxdCiSJEmPpcQlPqVSSevWrWWt71+iUChYsGABS5cu5cSJE5YOR5Ik6ZFKXOID2c/3b/P29uazzz6jb9++6HQ6S4cjSZL0UCVqOsN9iYmJlC9fnsTERKysrCwdTrEghKBTp07Url2byZMnWzocSZKkByqRNT4PDw8qVqwoJ2D/ixQKBd988w0LFy7k9OnTlg5HkiTpgUpk4gM5uvNZ8PX1ZebMmfTr1w+9Xm/pcCRJkgpVYhOf7Od7Nvr27YuXlxczZ860dCiSJEmFKpF9fABGoxFPT0/Onj2Lr6+vpcMpVm7fvk3t2rX59ddfqVatmqXDkSRJyqfE1vhUKhWtWrWSzZ3PQOnSpZk2bRr9+vXDYDBYOhxJkqR8SmziA9nP9ywNHDgQZ2dnPvvsM0uHIkmSlE+JbeoEuHPnDlWqVCExMRG1Wm3pcIqdmzdvUrduXQ4ePEilSpUsHY4kSRJQwmt8pUqVIjAwkCNHjlg6lGIpMDCQyZMn069fP4xGo6XDkSRJAkp44oO80Z2yufPZeeedd7C2tmbevHmWDkWSJAmQiU/uyv6MKZVKlixZwvTp0/njjz8sHY4kSVLJ7uMD0Ov1eHh4cOnSJby9vS0dTrH1xRdfsGnTJsLDw1EqS/zfW5IkWVCJ/wbSaDS0aNGCnTt3WjqUYu3dd9/FaDTy9ddfWzoUSZJKuBKf+ED28/0XVCoVy5YtY/LkyVy/ft3S4UiSVIKV+KZOgOjoaIKCgkhISEClUlk6nGJt9uzZbNu2jb1798omT0mSLEJ+8wB+fn74+Piwbds2Vq5cKXdnf4ZGjhxJdnY2ixYtsnQokiSVUCW+xhcfH8+sWbNYunQpGRkZKBQK1qxZQ/fu3S0dWrF14cIFmjZtyokTJwgICLB0OJIklTAlPvEdP36cevXqYTKZAHBwcOD48eNUrFjRwpEVbzNmzODXX39l586dKBQKS4cjSVIJUuKbOuvWrcuqVauwtbUFQKfTUb58eQtH9XwSQmBISSY3OgrdnRiMmRkPLPvBBx+QnJzM0qVL/8MIJUmSZI3PbO7cubz//vv4+PgQHR1t6XCeK8bMDFL37SR5ywaM6fdQqNQIQBj02JaviFvn7jjUfhHF3wYO/f7774SEhHDq1Cn8/PwsE7wkSSWOTHx/8dprryGyMlk9+1NMWRkoNFaotK5YB5SVzXGFEEKQ9MNq7v70PSgViNzcQsspbG1RaqzwHTUe+6pB+Y5NmTKFyMhIfvnlF/mMJUn6T8jER94XeO71K6T8spHMk0dRqDWYH4rJhMreAW3HLjg1aYnKzt6SoRYZQghiv5xFeuRBRG7OY52jsLLGZ/hHONVvYn5Nr9cTHBzMiBEj6NOnz7MKV5IkyazEJz5Tdhaxc6eSc/USQqeDBzwOhbU1CPAe8iEOdRv8x1E+vps3b1KmTBn0ev0z3WopYc1Skrf99MBaHkBMZjatdh7ibOcQ1P8/Z09hZY3/xJnYVapqLnfq1CnatGnD6dOn8fHxeWYxS5IkQQkf3GLKzuLWhBHkXLmQ9wX+kL8BRG4uQpdL3Nczubd/938YZd72Pra2tjg4OJh/hg4dWjBGIUg7cxGA6O+2EB+2j6yomH89Hn1SAslhGx+a9B5E6HK5s3AukPe+rKysKF26NIMGDeKdd95BCEHNmjVRKBTcvHnzX448v5s3b6JQKOQu8ZJUwjyXu6+Gh4fTq1evBw5C6du3L35+fnzyyScPvIYQgpg5k9AnxIFB/1j3rfnDLra0bwzLv0bj7oVdlRpPFf/T2Lp1Ky1btiz0mD4tg+jVP3H9s6VEJyUAcH7YVNQqJSadHu2LNSg3aiAerRsXGGDyNFK2b+HvfyIYTCZzre5R9IlxZF+7AkCZMmVYt24d48aNo06dOsycOZPs7Ox/HKMkSdKDWLTG99eajJeXF/369SMj48FD4P9N2Rd/J/fG1XxJLzojiwrfbafmD7uo+cMuXvo5nEXnr5mPn+7WGn8HO4ROR+LqorHySNzO/fzPsyw13+1HzxuHicy8C4AxIxNDWgaJ2Zm89+tmynVogZ+dEwvmfGY+t2/fvowbN878e3h4eL7RlVOnTqVMmTI4OjpSpUoVfvrpJ4ReT8quMH66GkXP8GN8evYy9beG8/XF6xiFYNbvV2gYFkHrHYeIiEsqNGah15O8dSMAvXv3ZtWqVVhbW7N8+XKmTJnCq6++mq/8L7/8Qq1atXBycqJ06dJMmjTJfOx+rW3lypX4+/vj7u7OtGnTzMdNJhOffvop5cqVw83NjW7dupGcnAxA06ZNAdBqtTg4OMgNiSWphLB4U+fWrVvJyMjg5MmTHDt27KG1tH9TStiGBzbVHX+tJae7tebzhkF8fe4q+2MTC5TRx8WQe+vGsw7zoeK27OGTV3rwW24q85T+fKHy55BIz1dmtvEO7qhZpSzDx3gz5qOP2f79hse6/tWrV4mOjqZXr14MGTKEXr16cePoEXOT8NmUNPzsbTnYoSmDKpXhxxsxRNxJYmNIPX4IeZFdMQmFX9hkIuNEJAD169cnLS2NixcvUrt2bdRqNadPn85X3N7enlWrVpGamsovv/zCwoUL2bx5c74yBw8e5PLly+zdu5cpU6Zw8WJek+/8+fPZvHkzERERxMbG4uLiwpAhQwDYv38/AKmpqWRkZNCgQdHtu5Uk6d9j8cR3n6+vL+3atePcuXMALF++nMqVK+Po6EjZsmULXdtx+vTpuLu7ExgYyNq1ax947cWLF1O+fHlcXV3p1KkTty6cJ/vCGSjQYJdfLQ8Xyjs78se9vGRS4bvtRKVnApCdk8vw/v0ICAjA2dmZ+vXrM3jwYAICAujatSve3t44OzvTtGlTzp8/b77mtm3bqFKlCo6Ojvj6+jJnzhwAkpKS6NixI1qtFmtra/z9/c2ryej1etq0aYNCoUClUuHg4MD88ZM51ft9DuiS6aR0wUOhwVGhoqvC1XyvRKHnAtn0VXpgpVBS1qSmtcKZeW8Nw5iTixACnU5HXFwc165d49q1a+h0Ovbu3cuWLVtISUnBaDTy7bff8t5772EymZg/fx76/+8T87Cxolc5f9RKJTYqFTtj4uld3p9SdjZorTQMrBj4wGdryvlzJOj9Wt/u3bsJDg7mxo38f1A0b96c6tWro1QqqVGjBq+//joRERH5ykycOBFbW1uCgoIICgrizJkzACxatIhp06bh5+eHtbU1kyZNYsOGDbJfT5JKsCLTx3f79m22bdtmbuby9PQkLCyMsmXLsn//ftq1a0dwcDC1a9cGIC4ujqSkJGJiYoiMjKR9+/bUrVu3wFJj+/btY/To0ezatYuqVasyatQoXu/Zk5V1yoP+wX17QghOJqVy9V46lV0qFDj+6YkLbLgejUKtwWQycfToUY4ePQrA8OHDmTlzJjqdjmnTphEaGso333xDVlYWvXv35p133qF06dLcvXuXGzduMH78eHbt2kVmZiZdunQhPDwcg8FAaGgoubm53LlzBw8PDwICAkhNTeXq1ass+XQO0YZsUjESI/SkCGV+BdYAACAASURBVANdlK54KjTmGJMx4IAKO8Wff994CBWX0lJpaedB+P/XDmfPnp3vvbVt2xalUolOpzM/C5PJhMFgYP+hw/R+MW9EZilbm3znJWTn5nvNxy7/8Qfp3bs3TZs25caNG/Tt25fAwECaNm3K3bt3CQwM5OjRo3z88cecO3cOnU5Hbm4uXbt2zXeNv24ibGdnZ24yj4qKIjQ0NN9OECqVivj4+MeKTZKk4sfiia9z586o1WqcnZ3p0KEDY8aMAaBDhw7mMs2aNaN169YcOHDAnPggrw/K2tqaZs2a0aFDB3744QfGjx+f7/pr167lzTffNJ83Y8YMXLRaost74mtV+Nuvt3EvCsDd1ppRNSvS0Ns933GTEGy8Ho2TRkNSTsHm0vfff5/333/fPCFbCEHr1q1RqVTodDrmzJmDtbU1arUalUqFSqUiKysLo9FIWloa9+7dw9ramtu3b5OTk4MQglKlSuHm5oa7uzvXr1/nnkHHHJU/X5jiqIkdqRi5g55U8WdNxhU1GRjJEiZz8ksUBjwVGsZWa0TlxoHY2NhQu3Zt3n77bXJyctBqtVy6dIn169czbNgw/j7bJSktjfvTzP8+39zDxpo72X/W5O5kPXh+n9LG1vzvgIAAypQpw7Zt21i6dCnW1tYATJo0ia1bt9KjRw+GDh3K9u3bsbGx4b333iMpqfD+w78rXbo0y5Yto1GjRgWOyV04JKlksnji27x5c6GjFbdv387kyZO5cuUKJpOJrKwsqlevbj7u4uKCvf2fk8kDAgKIjY0tcJ3Y2Nh8ydLBwQFXZyfis3MfmPiOdmnx0BGKKbk6co0mXG2UqFQqjEZjvuOlSpXi7t275hoTQMuWLenatStJSUksXryYmzdvUrt2baZMmULLli3RaDT069eP8PBwTCYT1apVY9++fXz//fe88cYbzJkzh5YtWzJu3Dgiw/dTSafBS6GhicKRraZUpqp8sUHJYpHXrzbBGM01clGjYIYxhvEqXy6IbH4UyVihoP3vOzFcUGIwGlAqleZm1bt37+Lh4YFCoSiQ9ACMTlqa/RJBGQc7VP+f+H5LTOajY+ep4erEJ2cu8dXFa7xTqSx7YvNi0RlNfH7+Kjui49GbBCE+Hkx5awAcyOvLMxqNzJo1i8zMTOzt7c3NkOfOnWPz5s2kp6fj6uqKjY0Nv/32G9999x2tW7d+4OfzV2+//TZjx45l5cqVBAQEkJiYyOHDh3nllVfw8PBAqVRy/fp1KlQoWKuXJKl4snjiK0xubi5dunRh1apVvPLKK2g0Gjp37pzvizglJcX8RQlw69YtqlWrVuBaPj4++f6yz8zMJDktDW97u6eOz8XaCmuVEiMKBgwYwOHDh/n999/Nx1UqFW+99Rb+/v4YDAbGjBnDnj17sLKyQq1Wo9FosLGx4dq1a7Rv395cM9y+fTtubm5YWVkRERFBy5YtcXJyQq/X065dO3ONUQjBBTSghjYKZ2IUOt41RmGHko4KF86STVOFI1OUfpwSmXxiiqWn8RrOqBms9KS9UksuJoabbhONwZz0AKysrLh+/Tqvv/46GRkZnDp1CoVCga2tLSqVihEjRvCysw1Nho3CRvVnlS8pV0dZR3u8bK3ZFHWH6WcuM7JqeY4mpjD3/FVis3LY1KI+GoWC94+do/HkT7mbk0u7du0wGo0olUrq1Kljbi4GmDlzJoMHD2bWrFlMmDCBoUOH0qxZM7p160ZqaupjfVbDhw8317hjY2Px9PSke/fuvPLKK9jZ2TF27FgaNWqEXq9nx44d1K9f/6n/X0iS9HwoMoNb/up+P46HhwdqtZrt27eza9euAuUmTpyITqfjwIEDhIWFFej3AejRowfLly/n9OnT5ObmMmbMGOq9WA8/x6dfekypUBBa1o+UnFwWLVqUL+kBuLm5MW3aNAYPHszt27cBeOmll2jWrBldunTh3XffpWbNmsyaNQt/f3/0/9/XOGfOHNauXUv16tWxsrLixRdfpEmTJmi1WurXr8/rr7+e10SKgrEqXwBUCgUDVZ6sU5dnqbosbgo1VbCljUqLSqGgrtKBlgpnQpWuLFGXob1SC8BWUyrO3p4kJSWxceNGOnfujI2NDQ0aNMDX15eRI0cihODbb78lKSkJDw8PFixYwKhRoyjb5X+8HOhDA08383tWKxQMqVyWMUGVON7pJVysNdT1cOF8aAs2RcXyUY0KaK002GvUvNusISonZ1QqFQaDASEECoXC3L+rVqsRQtCtWzdee+019u7dS1RUFOnp6YSFhfHVV1+xZs0aIG9KjBAi3yo14eHhDBgwIO+zUioZOXIkly9fJj09nWvXrjF9+nRz2SlTppCYmEhqaqpMepJUQhTJGp+joyPz58+nW7du5Obm8vLLL9OpU6d8Zby9vXFxccHHxwc7Ozu++eYbKlWqVOBaLVq0YOrUqXTp0oWUlBQaNmzI+u+/x/rALlJ3/PzYk9f/7qPaVfj+j1uFHrt8+TIuLi4olUqsrKwAiIiIIDg4mN27d7N//35zcl+zZo154MWHH35orsm8+OKL5i/o1q1bM3jwYDZt2gRAYycvSmdZFXrvBPRcIZvuhqvm14wIXsLJ/PtxUyZbTKls7jcKNzc3Xn31VRo3bszQoUM5cOAATk5OmEwmXFxcGDhwoPm8+wNINK7uuFarSeKx38zHtFaafM3DNioVmQYDybl6so0muv6aV1aIvOXfTOQlqNatW5OdnY3BYODjjz/mxx9/ZObMmbRo0QLI65OtUaMGYWFhdOzY8VEfiyRJ0iNZNPE9bEmqIUOGmOdb/V3z5s3Nq7aMHTu2wPEVK1bk+/3tt9/m7bffzveavlVH7u3MvwKJn4MdV3q0e2BM5mMqFV4NGuN3+Dz37t0jLS3NXKZt27Z8+umnBAcHU6dOHa5cuYKfnx86nY7Lly+zevVqwsPDmTFjBseOHQPyRqhCXnIsX768eeWZ+6pWrWoevj9u3DjWz1uASQiUhexm4IGaago7PlEVvs1PtNAx1xTHhxofLt+4gf3JkwQFBTF69GhUKhXnzp3Dzc2NzZs3F7os2n12VaqjuXUrbw3Th3Cx1mCjUrKlZX28nZ35Jk3PvG27CAoK4sSJE0ydOpUPPviAnj170q9fPz7++GNatWqFq6srAwYMYNKkSSxdupRevXpx7tw5tFrtQ+8nSZL0KEWyqfO/oHH3xK17XxRWD//iLkChQOXojMcbb6NUKlm0aBHu7nmjPlUqFfv27aNu3bro9XoGDRpEQkIC7777LjExMZw9e5by5cszfvx4zp49y/z580lISMi3EsmjjBw5klxbDV8ok0gQebXVJKFnsTGBGyKXYIUDMULHPlMaBiEwCMEVkcNtkUuWMPKJMYbeSjdqqB05qEvhtddew9nZmY0bN3Lw4EEOHjzIrVu3CkxxKPgYFNi+UAmP7n1QaKwKDvH8f0qFgq7lAph1KQrbYR8xY8NmlEolZ86c4YMPPmD8+PH4+vryySefEBISwm+//UZycjJdu3ZlwYIFODg4MHnyZBo0aMDIkSMf+zlJkiQ9SIlNfAAu7TqjbR/6+MlPpULlrMVvwmzUTs4AuLu7ExERgZ2dHVOmTCE7O5uFCxfi4eFBv3790Gg0LFu2jNDQULp3705SUhIrVqzgpZdeYtSoUXh7e7Nnzx4ADh8+/Mh1Kl1dXTly7DfUSiUjjbfoaviDccZo7BUqSqHBTqFkqsqP/SKdN4zX6W28xgpTInoEV0Uu0ehZYkqkm/4PVm74gRs3bmA0GsnMzCQ6OprQ0FDKlClDSkoKGRkZHD9+/KGTvd1e6Yq6zzsY1Br0TlqMQqCwtgEUoFRhH1SHuWvWEtS9Jy/17IOXlxdOTnnNrnq9HoPBwOTJkwkICDBfU6vVsnDhQtLS0li3bh0JCQls2LCBVatWMWDAgHyDcSRJkp5Uid+WCCDt0K8kfbcEU042Iqfg3DOFxgoQ2FWvg+eAYaidCza3RUdH4+npae7Tg7yRph9++CE///wzBoOBkJAQZs+eTY0afy5unZOTw5EjR9i3bx/79u3jzJkzBAcHExISQkhICC+++CIajabA/S5NmMuNucsxFTKP8FGUtjZ8X8uTzWeOkZaWZh4te3+6gJeXF/v37yc8PJzw8HCio6Np3LgxzZo1o3nz5tSqVcs8mOTatWvm3728vLBCcHz/flCrUDk4otQU7Iu8vzyZyWRCp9MxYMAAFi9e/NCY7y+dFhERgVqtpkOHDsydO5cyZco88fuXJKlkk4nv/wmTiazzp0kJ20DutSuYdLkolCqUDo44h7TFOaQdaq3roy9UCJPJxOrVq5kxYwZXrlyhVKlSDB48mA8//LBAUktPT+fAgQPmRHj16lUaN25sToRBQUF5cwezczjUqBsZl64h9I+//JbSzoay7/Xj2AvuvPHGG/mmiNyffuHv78/AgQPp3r079vb2JCYm5kuEt27donHjxpQrV45ly5aZp5VkZmbi6OiYr8/zQerXr0+FChXo2rUrr776Ks2bN2fnzp35VlgpzIABA7h06RLR0dFERUVRvnx5xo4dS58+feQO7pIkPR4h/adu374tevbsKezs7IRKpRItWrQQx48ff2D5pKQksXHjRjFkyBBRuXJl4eLiIkJDQ8WXX34pfj8UKcJrtBfbHKqLMHWFR/78ZF1RzCgTLHJycoQQQvTo0UNoNBpB3qKlYtu2bUKv14stW7aIl19+Wbi4uIhBgwYViC8xMVFMnTpVqFQq87n3f1Qqlbh9+/Yjn0Nubq4wmUxCCCFOnTolbG1tReXKlUV2dvZDz0tNTRWlS5cWe/bsERcuXBBt27YVarVa2NnZiTfeeEMkJCQ88t6SJJVsMvFZ0Jo1a0SVKlWEQqEQ3t7eYuLEiSI3N/eh58TExIg1a9aIN998UwQEBAh/L28xt0JDsdW2ivjFqUaBZLdVXUFs19YSu30bij8WrhFKpVJoNBoxbdo0cf36deHq6iqsrKxEly5dhKenpxg8eLBISkoSQggRHR0tpk6dKgIDA0WtWrXEggULRGpqqhBCiF27domAgIACyU+hUAhbW1vRtm1b8emnn4rIyEih0+ke+Sxu374tXF1dhZeXl4iPj39o2W3btonAwECRnp4uhBBCr9eLyZMnCy8vL6FQKERQUJDYunXr43wEkiSVQDLxFQF37twRffr0Efb29kKlUonmzZuLyMjIxzr3+vXrYvHixaL3a91EN6fSYrFNebHJtrLYaldF/OJWW8yyLSvid0QIk9EohBCiQ4cOAhBqtVrY2NiIFi1aiGbNmgmj0Sju3r0rhg4dKjw8PMSXX34p9Hq9EEIIo9Eodu7cKV577TXh7Ows+vTpIw4ePCji4uKEvb298PT0NCc+jUYj2rdvLzZt2iSGDRsmgoKChKOjo2jTpo2YMWOGOHLkyAMTYWZmpihbtqywt7cXFy5ceOj77tOnjxgyZEiB1w8ePCgaNmwolEql0Gq14r333jMnSEmSJCFk4ityvv/+e1G9enWhUCiEp6enGDNmzCOb/+4zmUzi/Pnz4ssvvxShoaFCq9UKtVotevXqJTZu3Cju3r0r1q5dK2xsbMzNkv7+/iIlJSXfdX7//XfRokULUbVqVbFnz558x+Lj48Xs2bNFhQoVhKenpwgODhZJSUmie/fuonz58mLfvn3i2LFj+c5JSkoSP/30kxg+fLioWbOmcHR0FK1btxbTp08Xhw8fzpcIjUajaNSokdBoNGLv3r0PfK/JycnCx8dHhIeHF3o8PT1dDBs2TDg7OwulUikaNWokjhw58ljPUZKk4k0mviIqPj5e9O/fXzg4OAilUikaN24sDhw48ETXMBgMolWrVqJ79+6ibdu2wtHRUVSrVk2oVCqhVCoF8MDEYTKZxE8//STKli0rQkNDxbVr1/IdNxqNonTp0qJNmzbC2dlZODo6mmuOj3L37l2xefNm8d577+VLhNOmTROHDh0Subm5okePHkKpVIply5Y98Do///yzKFeunMjMzHzo/X7++WdRo0YNoVAohJeXl5gyZYq5NitJUskjE99zYNOmTSIoKEgoFArh7u4uPvzww0d+2d83f/58MXDgQCFE3oCSgwcPCicnJ+Ht7S2USqVQKpXi/fffF59//rnYsGFDgfOzs7PF9OnThZubmxg9erS52TA8PFxUqVJFmEwmkZycLDQajfDx8RHlypUTM2bMEHfu3Hns95ecnCx+/vlnMWLECFGrVi3h4OAgWrVqJZo3by4AMWbMmAee26NHD/Hee+891n3i4+NF7969ha2trVCr1aJdu3bi4sWLjx2nJEnFg0x8z5G7d++KQYMGCScnJ6FUKkWDBg3Er7/++tBzTp48KSpXrpzvtezsbGEymUR6errw9vYW1tbW5oEpLVq0ENOmTRNHjhzJVyuKjo4WvXv3Fr6+vmLVqlXi9ddfF1988YX5eoCIjo4WkZGRon///kKr1YrQ0FCxbds2YTAYnuh9Jicniy1btoiRI0cKf39/AQhvb2/xySefiIMHD+YbAJSUlCS8vb3FwYMHH/v6RqNRLFmyRJQrV04AIjAwUCxYsOCxaquSJD3/ZOJ7Tm3dulXUrl1bKBQK4erqKkaOHFnoIA69Xi+cnJxEYmJiocf69u2bb2DKDz/8IIYPHy5q1KghnJ2dRceOHcXnn38uTp8+LYxGozhy5IioVauWUKlUYteuXUIIIX766Seh0WjyXTstLU0sWrRI1K1bV/j7+4tJkyaJqKiop3qvmzZtEkqlUvj6+oo6deoIBwcH0aJFCzF16lRx4MABsW7dOlGhQgWRlZUldDqdSE5OfuxrX716VXTq1EloNBphY2Mj/ve//4mYmJinilOSpOeDnMD+nEtNTWX8+PGsWbOGe/fuERwczCeffEKrVq3MZdq0acOQIUMK7HARFhbGyy+/bN50VqPRsGPHDkJCQgBIiI/n+KbvuXrsKDcvXyYxLR23SlWJFgquXbtOfHw8bdq0wWg0mie2F+b06dMsXryYdevWUb9+fQYOHEjHjh0LXZHmQc6fP0+9evXw9vZm//79nDx5kvDwcCIiIrh06RJ2dnbmDYD9/f05dOjQEz1Hg8HA559/zrx587hz5w6VK1dmypQpdOnS5YmuI0lS0ScTXzGyfft2JkyYwIkTJ3B2dqZ379588sknzJs3j4yMDGbOnFngnBMnTjBjxgy2bNmCXq+nffv2bPl+PfcidpHyyyZM2Vl5ewmZTAiFAqPRSExaOt/dSiDibjq2zlouXLhAQEAAly5dwvohuzVkZWXx448/smTJEq5evUrfvn0ZMGAA5cqVe6z3l5CQQPXq1TEajZw9exYfHx8AEhMTefPNNwkLCzOXfemll2jevDnNmzenXr16D43r744fP86oUaM4cOAA9vb29OrVi08//dS8xqgkSc83mfiKobS0NCZOnMjKlStJTU3lhRdeQKVSceHCBSBv9/qxY8fy2WefYWtrC+RtjfS///0Pw9VLLGtZD4UAoXvwOqAKaxuESsVvVerR7+OxCCFQKpWEhITQt29fQkJC8PT0fOD5Fy9eZMmSJaxevZrq1aszcOBAQkNDH5mgcnJyqFWrFlFRURw5coSgoCCmTJnCpEmTzMuvqVQqNm/ebF5m7eLFi9StWzdfIrSxsXnkc8zOzmbSpEksWbKElJQUgoODmTlzJs2bN3/kuZIkFV0y8RVze/fuZfTo0Rw7dgwnJyd69OiBr68vEydOpGXLlmzbtg2VSgVA5tmT3Jo5DtUT7H6gsLbh1a2/snpvBJGRkUyaNAmTyUROTg4BAQGEhITQokULmjZtWuheerm5uWzevJnFixdz5swZevfuzcCBA6lcufID72kymWjVqhX79+9ny5YttGjRgrlz5zJ16lSysrJQKBRER0dTqlQphBCkx93m7G+RnD55kv2Rv7HryHFq1aljXnS7fv36j0yEu3btYsyYMZw8eRI3NzcGDRrEhAkT8i1KLknS80EmvhIiODiY8uXLs3v3bu7evQvk7anXunVrtm/fjj4uhqjRQxG5BXeneJR7Oj21lm5ArXVBr9ezYMECpk6dSsuWLalYsSJHjhzhyJEjVK5cmbp167J8+XLi4+MLNB1eu3aNpUuXsmLFCsqWLcvAgQPp2rUrdnZ2hd63f//+rFixgq+++op33nmH+Ph4807128O20LK8D/qzBxGZ90CZl9wRAqFQcMvGg41nrhO2N5xz586Za4TNmjWjfv365prw3yUnJ/PRRx+xbt06cnJyaN68OZ9//nm+HTeehOFeKvf2biN1zzaM6fcQRiNKK2usy76AW6eu2NWog+IRC3dLkvRkVJOeZBdU6ZkJDAykWrVqlC1b1vzaihUrGDp0KG+++eY/vv7ly5cpU6YMH330EWvXrsVoNAJ5yWbnzp10UOaiv3Ujrz8P+Djyd4YcPE0VFyfKOtmbrzPt5EUGRpzE186Wyi55iUsBaGxssKuat3NE/fr16devH5GRkcydO5eOHTuyY8cOqlatSkJCArm5uXzwwQfs2LGDW7duoVKpKFWqFB4eHrRo0YJhw4bh6enJ6tWrGTlyJFFRUfj4+FCqVKl87+mVV15BrVYzatQosrKy6Ny5M927d+d/jWtTI/4MxuirkJ0BwgQmo/lHYTKiNWbRwFVN/949eO/TeQQGBpoT76hRo9i5cyc3b95ECIG3t7d5II6trS2dOnVizJgxvPDCC4SFhTFt2jSWLl2KQqHgxRdfNO8SkZOTQ2RkJP7+/gU+D2N6Gne+mkXC0i/JvngOU0Y6GI15idmgx5AYT/rxI6Tu2IzKyRmbwMfrB5Uk6dHkn5IlROPGjTl48CAHDhwAwNPTk4oVK1K6dGnio26ScvBX+FsTZ6CjHZtvxJh/N5hM7Lgdj79D/tqQtUpF6s4tiL9sWOvh4cHChQvx8vJi3759NGzYEIDJkydz4MAB4uLiGDt2LJmZmYwYMQI3NzfatGnDzJkzOXPmDB07diQsLIzTp0/j7e1N586dqVu3LosWLcq37dHYsWNZvXo1c+bMoWvXrugvHcM/+jQY9GDQPfiBGA1gMmK4fALNb7/QunUrZsyYwZEjR4iLi2PMmDHo9XrGjRuHh4cHTZs2ZcKECezbt4+srCwAXn/9dS5evMjNmzepV68eH330Eba2tnTp0oWoqCgWL15MkyZN+Omnn/LdWp8Yz80P3yHjRCRCr0foC49T5GRjvJdK/JKvSFy7BNk4I0n/Dpn4niOxsbF06dIFDw8PypQpw/z5883HJk2aRLdu3XjjjTdwdHSkatWqHD9+3Hx8+PDh7Nu3j3Xr1gEQExNDTk4Oy5Yt48TShVgX0scV4uPJyaRU7un0ABy4k0RFrSPuNnkDUCYcO8+0E5d4Y98xgtdswd3dnZ49e5KamgpA7969iYuL448//uDSpUt07tyZDh06oFAosLGxoU2bNlSpUoXk5GQgb9rDvn376Nu3Ly4uLri7u1OhQgXmzp2LTqejWbNm7Nq1Cz8/P3x9fXFycqJixYpoNBoiIiLIvnaO9IjNeUntcRn0mGKuoo/cbn7JwcGBNm3aMH36dA4fPkxcXBzjxo3DaDQyfvx4PD09adKkCePHj2fv3r24u7vz448/kp2dzezZszl+/DiBgYEMHz4cgF69enH06FEAjBlp3Jr4PoaU5MeOU+hy2bFyGb4e7o//voq4AwcOULFiRUuHIZVQMvE9J0wmEy+//DJBQUHExMSwd+9evvjiC3bu3Gkus2XLFv73v/+RmppKp06dGDp0qPmYUqlECMFnn31GamqqeQd1gKwLZ+BvtY5DcXc5czeVEB9Pfom6A8Dmm7GUd7Ln7N17GIVgSnBVelUozaAqZTjQqTkHZ0zk9u3bTJo0icuXL2NnZ4etrS1bt24lJyeHmJgYKlSoAOTV/BITExk2bBjbt28nPT0dKysrIiIiuHnzJjqdDkdHR7p164ZWqyUnJ4fY2FheeuklbG1tadCgAS4uLly5coU333wTpULBdyP7YKNWPfnDNegxXD6BKSO10MMODg60bt2aadOmsWbNGrKystBqtZhMJiZOnIinpyeNGzdmxIgR7NixA51Oh0ajMdfQsrKyaNKkCSdOnCBh9WIM91Lyml+fgNDrMWVnoYuLyfd68+bNWbJkyZO/57+cb2Njg4ODA+7u7rz66qvcuXPnqa/3uJo0acLly5ef+X0kqTAy8RUhnTt3RqvVmn8GDx5sPnbs2DESExPNIwnvD/5Yv369uUzjxo1p3749KpWK3r17c+bMmXzXDw4O5urVqwUGbpgy0gvE4u9ox5V7GbwSWIqfb8aSrtNzLCGF2xnZuNpYofr/fqwAR3saebtjpVJy9fhRDAYDCxcupFq1aixevJjc3FyuXLnCxYsXSUxMpFevXkBen2OtWrUwGo38/vvvZGdno1KpCAsLIyMjg44dO3Lv3j0cHBy4ceMGp06donXr1qxfv567d+8SGRlJcHAwAO7u7vTpGoohM6PA+zAYCyaYwl5DCAwXjj7oozFbtWoVLi4uHDp0iAkTJnDw4EHi4+MZOXIkK1eu5NixY9y7d888UvY+vV5PSKOGJIfvBsMT1EjzxQgp239+unMf4quvviIjI4OrV6+SkZHBqFGj/vV7PAnD0z4fSXpc//VSMVLhAgICxO7du/O9tnz5ctGoUSMhRN52RSqVSjg7O5t/HBwcxP+xd95hTZ1fHP/eJCTsvSEsB6jgQEXFrVhFcIsibnFUwVGkohYnuIotiuLGrVgngmhdVRQVRxUUR8XFlD1kE5Lz+4N6bQQVETp+5vM8eQh5901yT855zzmvo6MjEREtWbKERo8ezbZ9+fIlAWDzbZqamtLcuXPJzc2t2pjJKxfSH659pR4DTQ1IjsPQ/l7tyURZgSZZmdEAUwPiczjUTF2FVtlZ0xAzQxrf1JT6m+iTVBHmqAAAIABJREFUBl9O6kDa9x8MwxDDMNVee78ej8ej1q1bU58+fUhNTY0AkLy8PHG5XOJyuaSlpVVj/xwGdMFnAhXvWEQA6Ge3fmSqrU4MQMnrvNnXjDVVicMwlL9lIZ2c40bqivLEAMRhGOrUxIRys7Okrk9AQADZ2NiQqqoqjRgxgszNzWnTpk2kq6tLR44cYet6eHgQACovL6fi4mI2/+lf1+rSxZ6UeFziMQwJ/jwdI/ybTvRkxDdkqChPi22bUTN1FVLkcamRihIZKsrTt83MKW5Yb+qkq0kMQAIuh3g8Huno6JCTkxNxOBwSCASkpKTEnk/4+PFjcnBwIA0NDWratCn98ssvH/zcde/enbZv387+HxwcTM2bN2f/F4vFtGrVKrKwsCBNTU1ycXGhnJwcqc/Y7t27SSgUkpaWFvn7+7Nty8rKaPbs2WRgYEAGBgY0e/ZsKisrIyKiS5cukZGRkdS1Xr16NdnY2BCfz5edniGjQZFpfP8RhEIhzM3NkZ+fzz4KCwtx+vTpWvdhbW2N6Ojoaq/L6eoDjPRHgcswaKyqjLBXaRhoaohdT15BW54PC1UlKPzFnHgzMxcMAP+OLcHlcODo6Ag+n8/Gt/H5fMydOxd2dnYwNDRkU6lZWlqiUaNG0NHRkRq3srISsbGxOH/+PAoKCgBUeUeKxWLIyckhLy+v2vw1NDTQ1twInZoI2dci7v2BaN/JsG9qgpN3H7OvObVqirGdW6FCLMbUXeEY16U1Mjb6IPw7N9x+ngKHHt2xZMkSrF69GoWFhQgODsa0adOwceNGNi2blZUVHBwcsHXrVmRlZaG4uJhNkcbhcMDn81FeXhX8zzAMOnbsCAcHB9x88ABiiQQ/d2yJ1tpVMY0e1+6h4k8NNPjhMwwxM8TNwT3RRE0Zr0uqQktOvEpDqVgMBsCk5o1xbscWbNq0Cb/99hs6derEamwbN25EcXEx+vTpAzc3N2RmZiI0NBQzZszAw4cPP/n5yMnJwfHjx9G4cWP2taCgIISFhSEqKgppaWnQ0NCAh4eHVLvo6Gj88ccfuHjxIpYvX47Hj6uu94oVKxATE4PY2FjExcXh1q1b8Pf3/+D4oaGhiIyMrGaKlyGjvpEJvv8IdnZ2UFVVxZo1a1BaWgqxWIz4+Hjcvn271n0YGRmhrKysWk5NtZ79wNSQN7Opugp+Tc7AiEbG2NWjHe5l52OIuaFUnQqJBIo8LpT5PPDk5JCfnw8dHR2EhYWBw+FAWVkZjRs3RlxcHCIjI7Ft2zYAQHx8PKKjo+Ho6AhXV1fk5OSwwpLD4UBJSQl9+/aFpaUlOnfuDABo1qwZzMzMqs2zqKgQ95MzkJTzbo/Ou39naCorwK1jSxy+VXXTn+toj1OxT+Fm3xJn4hLQSFcDq0b0gZI8Hz2bW6CrlRmeJyaBw+EgLy8PIpEIJiYmiI6OxrFjx1BSUgIej4e5c+ciOjoaFy5cgJWVFXR1dREbGwugypvV1NSUnQcRISYmBlFRUWisroIehrr4RqiHac3MAQBlYgnu5eSjQiKBmICxTUwgx+GgkaoS1AVV74kcw0GRqBJcDgPPlk3QxtgQw4cPh7KyMuth+pZTp07BzMwMEydOBI/Hg62tLYYNG4ajR49+8HMxa9YsqKmpQVtbG9nZ2diwYQNbtnXrVqxYsQLGxsYQCARYunQpjh49KmWOXLJkCRQUFNCqVSu0atWKNbEfOHAAixcvhq6uLnR0dLBkyRLs27fvo/MQCoUfjKGUIaO+kAm+/whcLhcRERGIjY2Fubk5tLW1MXnyZFYrqg0Mw6Bz587VEjjLWzQBT7t6ejEDRXloCuRwJysPxsoKeJj3Bs6m0rF07bQ18CivEFMv/w6JRMImdXZ0dIRQKISnpyf8/f1RVlYmlUsTqHLYOX/+PA4dOgQtLS1UVFRAIBCAYRhIJBLcuXMHCQkJePr0KZo2bYoZM2bAzc2t2jwlEgIRIS3v3V6lsWZVjOHgds1w63kKACDjTTEYBujcxARJOQW4/SIV6tNWQHmyH5Qm++HSoxeoFIsxceJEBAcHo6ioCLdu3UJoaChCQ0MhEonQvn173L17F4mJibCwsMCiRYtQXFyMVq1aAQCePHmCy5cvs7F8XC4XfD4fqqqqEIslMFSq8p7VV6j6a6Agj8zScoglBA2BHNsOABT+3CccaGYAa001SAjocfwCFm/ZDpFIBEVFRTYe8y2JiYm4efOm1F7xgQMHkJ6eXv0D8SdBQUEoKCjA/fv3kZeXh5SUFKn+hgwZwvbVrFkzcLlcZGRksHX09fXZ54qKiigqqtprTUtLk/oRYGpqirS0tA/OQygUfrBMhoz6RCb4/iW8evUKDg4OUq9NmDBByjRpaGiI0NBQpKenIy8vDzExMWybpUuXYv/+/WxdMzMzEBFrMnrb/9t4vvfH1Bo8EozgXUjD6o42+K5lEwwyM0TYqzScfJWGzvra0JYXINShA4ZaGAEANOX5ODGwJ8K2bYKuri7mzp0rdePs2rUrkpKSIC8vD2dnZ6l5GRgYYObMmZg8eTKICKampjh16hQqKytx5MgRaGpqQl1dHbNnz2aD1w0MDKCgoICtW7fi1atXAKpMoXkhy9Cx8bsbJ4MqAaKuKI/eLaqSApyJewoXuxZgGAbGmqrQVlHEoLbNkLhuLop3LMJBT1eoq6nDxMQERUVFMDExQUREBADgxIkTKC8vx+3bt6Gvrw99fX2kpqZi7969AMDm7xQIBDA0NATDMFBQUECvXr3QqVMnWFtbgyfHQ1pxlfkyvbTq7+vSMugqCKDI4yK3vIL1BM0uq0Dpn0JNjsPBEDNDaMvz8YtjN5y7c5cd96+CEqgSHt27d5cyiRcVFWHz5s01feyksLGxga+vLzw8PNh5CIVCnDlzRqq/srIyGBkZfbI/Q0NDJCYmsv8nJSWxicVr4v21yJDRUMgE31fGXwXfX1Hp3AtKLW3BvJd7crCZEW5k5ODw8xQMNqt+02K4XKj2+Aby5k0+OCaHw8GkSZPg5eWFtLQ0iMVi3LhxA+Xl5RgzZgwiIiLYsIyKigpcvnwZrVq1Qnx8PNTV1bF69Wo8f/4cpaWlUFRUhKmpKYKCgpCVlQUOh4O4uDiEvcyvtk/5lhF21gCACw+fY0SHqueOrZogv6QMGflFUOLLITE7D8uPXcDrjAx4enrizJkzUgHje/bsQevWreHk5ITY2FjExsbi2rVriI2NxYMHD+Dr6wsul4s+ffogNTUV69evh0gkYk2CI0aMwPOiMlxOy8LF1Axse/wSAMDncNBGSx2ttNRRLpZgT0ISYrPzcSrpNfLLq+InYzJzkVxUAiKCAkPgKyqxXqMaGhp48eIFO09nZ2c8ffoU+/btg0gkgkgkwu3bt9l9t08xfvx4ZGZmIjw8HADw7bff4ocffmAFWFZWFk6erJ1n6ahRo+Dv74+srCxkZ2dj+fLlrFevDBn/JDLB95XRpk0bvHjxgg0yfwvD4UB/5nwoWrcBw393QoKxsgLaaKmjtFKM3kbS5tBKIvCNTaE77ttPjrt27VrY2Nigffv20NTUhI+PDyQSCYRCIU6ePImVK1ciOTkZo0aNQkBAACQSCfh8PoRCIZYtW4bKykr4+vriypUr0NLSgo+PD7uPZWdnhwkr1uPWy5rNaE6tq2IHtZQV0VJYZZZTkRdg77RhiEtKh9aM1bBZGIz0giJIJBIcOnQIQ4cORVJSEgYMGIBVq1bh4sWLbA7Ptxpf27Zt0a9fP+zZswfa2trYvXs3njx5AisrK3z33XfgcrkoKCjAsmXLMGjQINh36QoOh8Hs6/dxNzsfDIDNXdqAz+XgO5vGMFZSwJrYP+B26Ra05PnQUxCAz+Egu6wcGx8+R2ZZBfpGRCEjOxvFxcWQSCQYMmQIjh49Cg0NDcyaNQsqKio4d+4cDh06BENDQ+jr68PHx4d1tvkUfD4fs2bNgp+fH4CqxAcDBw7EN998AxUVFXTs2JENxv8Uvr6+aNeuHVq2bAkbGxvY2trC19e3Vm1lyGhIZEmqv0J69eoFb29v9O/fv1oZSSTIizyG3IgjVem0ykqr1WHkFZBdWISLEj5+OHbqbzNR3blzB7Nnz0Z5eTmCgoLYNGhvKT2xCZLcdNRpNlweruvaot/AwVL7ZlZWVmjXrh1+/fVXGBgYwMnJCU5OTujYseNHPQ+3bt2KGTNmQEFBASKRCBUVVQkCro0fBq3SQlx5nYWlvz/Gb87dPtjHiAsxGNlIiGHmVWZFRl4B+rMX4kZWHkJCQnD+/HkMGDAA7u7u6Natm8xUKENGLZFpfF8hXbp0+eAJ5QyHA80BLmi0JRQGnj5QaN4KPC0dcFRUwdPWhWLr9jCauwT9zt+CQudef+vNtl27doiOjoaXlxdGjhyJ0aNHS+0nJhnaoOTP9GqfQ2mFCAWN2sOhvzOuXbsmdUTRq1evoKmpiRcvXmDr1q3gcrmYOXMm9PT04ObmhgMHDiA7O7tany4uLuByuSguLkZFRQUYhsH3338Pa+9FyKyUIPjhCzi8p0HfysxFVmk5KiUSnHiVij8KitBV/880ZTw5CIxNoNK6Hfr27YvDhw8jISEBtra28PT0RJMmTbBy5UqkpqZWm4sMGTKkkWl8XyHnzp3DihUrEBUVVaf2lZWVkJOTw7Nnz2p9enp9U1xcjNWrV2Pz5s2YM2cO2rRpg4kTJ2L/TyvQRZJelaS6FpSLJVgdHoUfI6PRokULeHp6oqysDPPmzYOenh7GjBmDzZs3o6ioCH369MHGjRvRqFEjpKam4vTp04iMjMSlS5fQokULODk5wdHREVFRUfDz80N+fj4YhoFAIICnpycuXbqEJ0+eQJ7HQzdNFSxs1QTKcu+0xl+epyAo/hlKKishVFaEl00T9DDUAXhykNPWgenKDeAqKVdbAxHh9u3bCAkJwZEjR2Bvbw93d3c4Ozuzp0rIkCHjHTLB9xXy5s0bGBoaIicn55MnntfExYsX0bdv339FaqlXr15h+PDhuHfvHpYuXQpfX19QXgbKLx0BFeVXJYKu6SMuxwc4XMh17I+FW/dj7dq1VS/LyYHL5UJJSQkbN26Eq6srAODgwYNYvHgxXrx4gWbNmiEgIIA1FZeXl+PSpUtYunQpbt26BSJC06ZN4eXlBQ8PD3Tq1AlRUVHg/OVcvaJ7t5AWuAIAPnwGIsOA4QsgMLOA8Xx/cBWVaq73F4qLi3H06FGEhITg6dOnGDt2LNzd3WFlZfU5l1WGjP9rZKbOrxBVVVU0bdoUd+/erVP706dPV8u48k9ARNi5cydyc3Oxc+dOHDlyBL1790Z8SiYUhs2EvJM7uBbWAJcHMEyV1yfDgKMrBL/7cCi4zYNc41YICAjA8OHDAYD1xHRwcMDIkSPZsdzc3PDs2TPExsZCW1sbAwYMgI6ODvz8/PDDDz9g6NChiIuLg6enJ+7fv49p06bh8OHD4PP5kJOTw8aNG/H8+XO2P+U2dmi8NRQ6oyeDp60LRl4ehaJKMPIK4CgqgZGTg3J7ewh9V8Fk2c+1EnoAoKSkhPHjx+PKlSu4cuUKeDweevXqhc6dOyMkJISNsZMh46vm786RJuPfwcyZM+nHH3+sU1t7e3vq1q1bPc/o8ygvL6exY8eSnZ0dpaenExGRSCRi82hOnz6dsrOz2fqSShFJKspJIpHU2F9OTg7Jyb3LNzp27NiPjv/69WuytLRk61tbW7Pz+CsFBQV09OhRmjhxIunp6ZGlpSV5eXnRxYsXqby8vGpuEgm9vnubehjqUP71KCq6f5dEBXl1vTTVEIlEFB4eToMGDSJ1dXWaNGkSXbt27YPXQoaM/3dkgu8r5ZdffqGBAwfWqa2Ojg7Nnz+/nmdUe/Ly8qhnz540aNAgKi4urlaek5NDM2fOJB0dHQoKCqKKiopa9Ttw4ECytLRkBWDfvn1JLBZL1SkoKKCxY8cSj8cjNTU1WrFiBQUEBJCenh4xDEP29vZ0+/btGvsXi8V0+/ZtWrp0KbVv357U1NRo2LBhtHPnTnJxcSEAdOvWrc+/IJ/B69evac2aNdS0aVOysrKigICAGgW2DBn/z8gE31dKSkoKaWlpVbux1wYOh0NXr15tgFl9mpcvX1Lz5s1p1qxZVFlZ+dG68fHx5ODgQM2bN6928kVNFBcXU3l5OSUnJ5OqqioBoFatWpFIJKKsrCwaOnQocblc0tbWpo0bN1Zrf+7cOWrZsiUxDEOmpqa0e/fuj46Xnp5Ou3fvJkdHR1ZztLGxoVu3btXpffkcJBIJXb16lSZMmEBqamo0ePBgioiIkJ2KIOOrQCb4vmLMzc3p0aNHn9XmwYMHxDBMg9+Ya+L27dtkaGhI69atq3UbiURCYWFhZGFhQYMGDaJnz57Vql1xcTEJhUL2WCQOh0MGBga0Z8+eT7Z99eoVOTs7E5fLJRUVFfLy8qLS0tIPzs/e3p4VfFwulywtLUlPT48mTJhAR44cofz8/Fqvty68efOGtm/fTh07diRDQ0NasGABJSQkNOiYMmT8k8gE31fM2LFjadu2bZ/VZuXKlaSurt5AM/owERERpK2tTSdOnKhT+9LSUlq1ahVpaWnR/Pnz6c2bNx+t/+zZM+rWrRsrkBQVFSkrK+ujbWoac+7cuaSiokJcLpecnZ3p1atXUnUuXrzInkP4VvBt3ryZnj9/Ths2bKB+/fqRiooK9ezZk9auXUuPHz9u0L25+Ph48vLyIh0dHerevTvt3bu3RnOyDBn/ZWSC7ytm69atNG7cuM9q069fP2rTpk0DzahmgoODycDAgGJiYr64r9TUVBo3bhwZGhrSnj17qmmuDx48IDs7O2IYhpo2bUrnzp2jESNGsJrfixcv6jTu7t27yczMjBiGIRsbGzp37hwRVQnHs2fPUuvWrcnY2Ji8vb3p4sWLUm2LioooPDycpk2bRsbGxmRhYUGenp505syZD2qSX0p5eTkdPXqUHB0dSUNDg6ZNm0a3bt2SOcTI+L9AJvi+Yh4+fEgWFhaf1cbExISmTJnSQDOSRiwWk7e3N1laWtLz58/rte8bN26QnZ0ddejQgWJiYigmJobdn7OxsaFr165J1V+4cCGrkd25c6fO4965c4fs7e2JYRjS1dWlgIAAEovF1L59e3J0dPxke4lEQnFxcbRy5Urq3Lkzqaio0IABA2jLli2UnJxc53l9jOTkZPLz8yNzc3OysbGhdevWSXnMypDxX0Mm+L5ixGIxaWpqUmpqaq3b8Pl8Onr0aAPOqoqSkhIaPnw4de3alXJychpkDLFYTD4+PsTlcllHltjY2A/W37FjBwEghmHo119//aKxs7KyaOzYsSQQCEheXp5UVFRozJgxn91PdnY2HThwgNzc3EhTU5NatmxJCxYsoOjo6E86/3wuYrGYLl68SKNHjyY1NTUaMWIEnT179h/Z75Uh40uQCb6vnAEDBtDhw4drVTcjI4MANPieT1ZWFtnb29OoUaOorKysQcYICwtjTY/29vY0depU0tLSolWrVn10zAsXLhDDMATgk16btUEsFtPKlSvZPrt27fpR4fsxRCIRRUdH04IFC6hly5akpaVFbm5udODAgXr/8ZCbm0vBwcFka2tLJiYmtGTJkmr7lzJk/FuRCb6vnDVr1tCsWbNqVXf79u2koKDQoPN5+vQpNW7cmBYsWNAgmsT+/fvJ0NCQGIahvn37UlJSEluWkJBAgwYNokaNGlFYWNgH97Pi4+NZZ5QVK1bUy7wUFRXJy8uLWrRoQQzDkIWFBR04cOCL+kxKSqItW7bQgAEDSEVFhTp37kwrV66kuLi4et2ru3fvHnl6epKWlhY5ODhQaGhog+09ypBRH8gE31fOtWvXyNbWtlZ1XV1dqWnTpg06F319fdq6dWu9971p0ybS1tYmDodDgwcPpszMzA/WPXfuHDVv3pz69OlDDx8+rLFORkYGKSsrE4B62fPkcrnsvuKzZ8/I0dGRuFwuqampkY+PD5vlpa6UlpbSmTNnyNPTk8zNzUkoFNK0adMoPDycioqKvnj+b8c4ePAg9e7dm7S0tGjmzJl11l5lyGhIZILvK6esrIyUlJQ+6d5PRGRlZUXDhw9vkHkcPnyYtLW16fTp0/XWp1gspjVr1pCamhrxeDwaPXo0FRQU1KptRUUFrV+/nnR0dGjWrFmUm5tbrU5paSkZGBiwWV7qwuLFi+mHH34gABQSEiIlKIqLi2nWrFmkrKxMPB6PBg8eXC8OLBKJhB49ekQBAQHUo0cPUlZWpn79+tGGDRvq7LX6Pi9fvqTFixeTUCiktm3b0qZNmygvr/7SsMmQ8SXIBJ8M6tq1K+te/zGUlJQoODi4XseWSCQUEBBAxsbGdO/evXrpUywWk6+vLykpKRGfz6epU6dSSUlJnfrKysqi6dOnk66uLm3atKmaw4hYLKY2bdoQAGrZsuVnm2ctLCzYWEGBQEDm5uY11tu+fTsJhUJiGIZat25Nv/32W53WUxP5+fl0+PBhGj9+POnq6lKzZs3I29ubLl26VOt0bx+isrKSfv31V3JxcSE1NTUaM2YM/fbbbzKHGBn/KDLBJ4MWLFhAixcv/mid0tJSAvBZHqCfQiQS0fTp08nGxkZqr62ulJeX0+zZs0leXp7k5eXJy8vri02Eb4mNjaXu3btTy5Yt6dKlS9XKBw8eTADI0NDws9J+rV+/ngQCARskf/LkyY/Wj4mJoQ4dOhDDMKSvr0+BgYH1KkTEYjHdvHmTFi9eTG3btiV1dXVycXGh3bt3U0ZGxhf1nZWVRYGBgWRtbU0WFhbk7+9PKSkp9TRzGTJqj0zwyaDIyEjq1avXR+ucPHmS5OTk6m3MwsJCcnJyoj59+nxxSq7i4mKaPHkyycnJkbKyMi1ZsqRBNAqJREJHjhwhU1NTGj58OL18+VKq3NvbmwCQiooKFRYWUklJCQUFBX3UkSQvL491lOndu3et55KRkUGurq7E5/NJQUGBpkyZUmsz7ueQlpZGISEhNHToUFJTUyM7OztatmwZ3blzp87XWCKR0M2bN2natGmkoaFB/fv3p2PHjtXbjxQZMj6FTPDJoNzcXFJWVv6oWWv69OlkbGxcL+OlpaWRra0tTZw48YtMaXl5eTRq1Cji8Xikrq5Oa9eu/VtMaCUlJbR8+XLS0tKiRYsWSTmHbNmyhQCQnJwcGRkZEYBPJvR+e7xRXcIBRCIRLVu2jLS0tIjD4VDPnj0pPj7+s/upDeXl5XThwgX67rvvqGnTpqSvr0+TJk2iY8eO1WqPuCaKi4tpz5491K1bN9LV1aW5c+d+dv5YGTI+F5ngk0FExJ4K8CHatWtHffr0+eJx4uPjydTUlPz8/OrsUp+RkUEDBw4kDodDOjo6tGXLli+eV11ISkoiNzc3MjY2pgMHDrDruXDhArtvB4A6d+5cra1EIiFRejJVJNyn7Qtm0+R+PUhc9GUaW1hYGFlZWRHDMNSkSZNax2fWlYSEBFq3bh198803pKysTL1796affvqJnjx5Uqf39unTpzR//nwyMDCgjh070vbt2+ssUGXI+BgywSeDiKo0up9//vmD5RoaGrRs2bIvGuPixYuko6ND+/btq1P7xMREcnBwIIZhyMjI6Ivj3OqL6OhosrW1pc6dO9OdO3do5MiRUoKPYRjWuUZSVkqlv1+h/M2LKO+n7ygvcC6lr/Kk1ys9KC9gNhUe2USixKdfFGf35MkT6tOnD3E4HFJXVydfX98GP26osLCQwsLCaMqUKWRoaEiNGjWiWbNm0dmzZz87CcH7B+dOnDiRoqOjZXlCZdQbDBFRw5ztLuO/xMGDB3Hs2DEcO3asWplEIgGPx8Pdu3fRunXrOvW/d+9efP/99zh06BB69uz5WW3/+OMPuLu74/r16zAzM8P69esxYMCAOs2joRCLxdi9ezd8fX0hLy+PpKQkSCQStnzw4ME4/PNKFJ/YAYAAUcWHO5MTgKulB6URHuAoKNV5TkVFRfDx8cHu3bshEokwaNAgBAUFwcDAoM591gYiQlxcHCIjIxEZGYmHDx+iZ8+ecHJyQv/+/WFkZFTrvtLT07Fv3z6EhISAYRhMmjQJ48aNg56eXgOuQMb/OzLBJwMAkJSUhPbt2yM9PR0Mw0iV3bx5E506dUJlZSU4HM5n9UtE8PPzw65duxAZGYnmzZvXum1sbCwmT56Mu3fvwtLSEsHBwejVq9dnjf93U1BQAD8/P+zZswejRo1CXl4eDhw4AKfm5tg9zglckny6EwDgcMEoq0JlvA84ispfNCeJRIKtW7dixYoVSEtLg62tLdatW4cuXbp8Ub+1JTs7G7/++isiIyNx9uxZmJqawsnJCU5OTrCzswOXy/1kH0SE69evIyQkBCdOnECPHj0wadIkODo6gsfj/Q2rkPH/xOfdxWT832JiYgKBQIBnz55VKzt16hQ0NTU/W+hVVFRg0qRJCA8Px40bN2ot9KKjo2FtbQ1bW1uIxWLcvHkTjx8//tuF3qtXr8AwDCorK2vdRk1NDWvXrkV0dDSeP3+Omzdv4rdf9iFkdL/aCz0AkIhBRW9Q9MsGkERch9m/g8PhYPr06UhJScHVq1fBMAy6desGY2NjbNq0SUozbQi0tbUxZswYhIaGIjMzE0FBQaisrMTUqVOhr6+PsWPH4tChQ8jLy/tgHwzDoHPnzti5cyeSkpLg5OSElStXwsTEBAsWLEBCQkKDrkHG/xcyjU8Gi5ubG3r27AkbGxsYGhqitLQUycnJWLZsGUQiEWJiYmrdV0FBAYYPHw4FBQWEhoZCSenTJruzZ8/C09MTz58/R4cOHbB9+3ZYW1t/yZKqYWZmhoyMDCktY8KECdi4cWO1uq9evYK5uTlEIlGdtYrTp09D/tx+2BpofrKu89YTuJOcATkOBwwDWGirY1ArS3iv+Rkq1u3rNP6HSEtLw+zZs3Hy5EnIyclnbMypAAAgAElEQVRh/Pjx+PHHH6Gs/GXa5eeSmJiI06dPIzIyEleuXEHr1q1ZbbBFixbVrA/v8+jRI+zcuRP79u2DlZUV3N3dMXz4cCgqKv5NK5DxX0Qm+GQgLy8Pa9aswYEDB5CWlgaGYbBo0SIUFhZi/fr1qKyshEAggL29Pfbt2/fJPZqkpCT0798fPXr0wPr16z9pyjp69Ci8vLyQkpKC7t27IyQkBBYWFvW5RBYzMzPs2LEDDg4On6xbH4JPnJ+Nwh3+gFhaaxRLJOC+p0E7bz2BEW0sMc6uOYorRLiXnIkFp65CS0MDl+KfflII1IXKykosX74cGzduREFBAXr16oWNGzfC0tKy3sf6FKWlpbh06RK7N0hErBDs2bPnR4VZRUUFTp06hZCQENy4cQMjRoyAu7s72rVr1yDXTcZ/G5mpUwbevHmDdevWISUlBRKJBEpKSrC3t0e/fv3Ym015eTkePHjwSc3t3r17sLe3x6RJk7Bhw4aPCr1du3bBwMAAI0eOhI2NDVJSUnDp0qUGE3qfQiwWw9vbG9ra2rCwsEBkZKRU+cuXL9GtWzeoqKjAwcEBHh4eGDNmDFvu4uICfX19qKmpoVu3bnj48CEqfo8CiDDj8EV4nbgMl10RMFq0FVefp350Lkp8OXRpZISD451wK+EVwkP3A6jar1u9ejUaNWoELS0tjBgxArm5uWy7vXv3wtTUFFpaWvDz84OZmRkuXLgAALh16xY6deoEdXV1GBgYwNPTExKJBMuXL0dOTg4cHR1x6dIlWFlZQV5eHkFBQfV1aWuFgoIC+vfvj+DgYLx8+RKnT5+GmZkZfvzxR+jr68PJyQmbNm1CYmJitbZ8Ph9Dhw5FZGQk7t+/D6FQCFdXV7Rq1Qrr1q1Ddnb237oWGf9uZIJPBkxNTXHkyBEoKCgAAEpKStCxY0d07doV5eXlAKpuSpGRkVBXV5dq+1eDwenTp/HNN99g/fr18PLy+uAv7Q0bNkBLSwtTpkxBly5dkJWVhcjISBgaGjbQCmvH9u3bcerUKdy7dw937tzB0aNHpcrd3NxgZ2eHnJwcLF26FPv27ZMqd3R0REJCAjIzM2Fra4vRo0dD9PIJ8Oce3dHYBMzt2Q7Jy6aio1ntPCuF6ipoLdTD1fNnAQBBQUEICwtDVFQU0tLSoKGhAQ8PDwBVZr8ZM2bgwIEDeP36NQoKCpCa+k7AcrlcBAYGIjs7Gzdu3MDFixexadMmAMC5c+fw+vVrZGdn48GDB2jdujXmzJkDLS0tLF++/LP2OesDhmHQokULzJs3D1FRUUhMTMS4ceMQExODdu3awdraGj4+PoiKioJIJJJqa2xsjB9++AEJCQlYv3497ty5g8aNG2PEiBE4e/YsxOIv2zOV8X/APxJEIeNfyYoVK4hhGDIwMGBfa9SoEQGoMcbv3r17ZGJiQi9fvqQtW7aQvr4+Xb9+vca+xWIx+fn5kaqqKvF4PBo/fjwVFhY22Fo+hKmpKSkpKZGamhr72LZtGxER9ezZkzZv3szWPXv2LAEgkUhEiYmJxOVypQ7hHT16NI0ePbrGcfLy8ggAJa6dS3mrPWiUrRWNbGNJeas9PvjobG5I64f2rPb6kFZNaOIgRyKqOiHjwoUL7DhpaWnE4/HYDC6urq5sWXFxMcnJydH58+drnGNgYCANHjyYiKpiLJs0aUI3btxgs98UFBTQlClTSEFBgfh8Prm6un5xvs76oLKykm7cuEG+vr7Upk0b0tDQoBEjRtCePXs+eNxUXl4ebdq0idq2bUtCoZAWL15cLeWcjK8HmcYng2XBggVVv6abN4e48A0qc7NhaW4GTU1NzJkzp1r9gIAApKSkoFWrVlizZg2uXr2KTp06SdWprKyEj48PVFRU4O/vjzFjxqCwsBC7d+/+2x0p3hIWFob8/Hz2MWXKFABVDh9CoZCtZ2pqyj5PS0uDpqam1D7TX+uWlZVh+vTpMDIygoKCAhsrl5D0TuMyUq/bel+/KYamWpWmnZiYiCFDhkBdXR3q6upo1qwZuFwuMjIyqs1fUVERWlpa7P9Pnz6Fs7Mz9PX1oaqqioULF7ImwF69esHT0xMeHh7Q09PD1KlTAQDbtm1DUVER1q5di6ioKOjr66Njx464efNmndZSH3C5XHTs2BF+fn64e/cu4uPj0adPH5w4cQKNGzeWKqM/LRLq6uqYPn067ty5g4iICOTl5aFdu3bo06cPQkNDUVZW9o+tR8bfj0zwyWApf/UMJ8cNQ7CRIl56jsWruVPwky4flwf1QP7ZcIhLitm6eXl5OH78OCQSCQoLC6GsrCwVGF1WVgYPDw8oKytjw4YN8PT0RFFREYKDgyEvL/9PLO+TGBgYIDk5mf0/KSkJQNW+GofDQW5uLg4cOIDAwEB4eXnh4MGD+PXXX2FkZARlZWXs2LEDenp6GDBgANzd3QEAPBU1tr+6uFik5BciLiUTHdu3BVAlbM+cOSMluMvKymBkZAQDAwOkpKSwbUtLS5GTk8P+P336dFhZWSEhIQFv3rzBypUrpUzVs2bNwu+//46HDx/i6dOnCAgIAFAVDjFz5kykpaXht99+Q0VFBTp16gQTExPs2LGjDquqXwwNDTF58mScOHECmZmZ8PPzQ05ODkaOHAkjIyO2rLCwEADQqlUrBAUFISUlBe7u7ti1axeMjY0xc+ZMxMbG/sOrkfF3IBN8MlCRnopEn+lIWT4PRTFXgcpKUKUIVFEOLgD58lLkHN6NlzNGIzt0J0giQXBwMLv/JxAI8ODBA4wbNw5FRUWYMGECVFVVsW/fPvj6+qKoqAhr1qz5VwYaExGys7PZIPlly5ZhxowZGD58OFxcXAAAysrKGDhwIOTl5bFs2TI8f/4cFRUVyMrKQtu2bRETE4PAwEC0aNECly9fxq5du9jYOJ2OvQE5wWfPq6RChGsvUjF672m0NtLFrGUrMXz4cNja2mLevHmsg0dWVhZOnjwJABg+fDgiIiJw/fp1VFRUYMmSJVKCrbCwEKqqqlBWVsaTJ0+wefNmtuz27du4efMmRCIRlJSUIC8vX6NjUo8ePXD37l0kJSWhXbt2mD59OpSVlTF79myUlJR89jrrG4FAgD59+mDdunVISEhAVFQUrK2tsWnTJhgaGkqVycvLw9XVFefOncOdO3egpaWFQYMGoW3btti0aRPy8/P/6eXIaCBkgu8rp+xlApJ9Z6MiNQlUUQ58IMiaystBogrknz+F14H+CPzpJ/B4PPTr1w/a2trgcDgIDw+HmpoaIiIiEBAQgPz8fPj6+n524Ht98ubNG8THx+PMmTPYtm0b8vPz0a9fP/B4PHA4HHA4HBgaGmLixIlISkqCjo4Odu/ejaioKEyYMAFAlXabnp6OuLg46OnpYc+ePXj8+DHGjBkDY2NjCIVCTJw4EaampjAyMkLz5s3RsWNHAIBcoxaoStlZO+aFX4Fw8TZY+u/CgohoDLBpjIh1KxD36AkGDBgAkUiEu3fvwsrKCgKBALa2tmx8ZYsWLbBhwwa4urrCwMAAKioq0NXVhUBQJXjXrl2LgwcPQkVFBVOmTMHIkSOlrtOUKVOgoaHBeoV6e3t/cJ7GxsY4fvw4iouLMXPmTOzZsweqqqpwdHTE8+fPP/NdajiaNGmCOXPm4Pz580hLS8OMGTMQHx+P7t27o2nTpvjuu+9w4cIFGBoaYunSpXjx4gVWrVqFqKgomJmZYcyYMbh06VKDB/nL+HuRxfH9i1m6dCmePXuG/fv313vfPXr0wKhBA+HwKAaSkqLPasvwBRC0t4fxdG9MmDAB+/fvZ28Mw4YNq+YN2VCUlJQgJSUFycnJSEpKQnJycrWHRCKBiYkJhELhBx+1Ca6viZEjR8LKygrLli37+DzPH0ZF3PVqsXy1gicHlXHzwNV5Z0auqKjA1atXERERgYiICFRUVMDZ2RkDBgxAz549We/coqIiqKurIyEhAebm5p8/9mcSGhqKRYsW4cWLF2jWrBkCAgLQv3//Bh+3LkgkEsTGxrIxg48fP0bv3r3ZfKIGBgbIycnB/v37ERISguLiYkycOBETJkyAsbFx/c2jMA+SwnygUgSGLw+Ohg4YgUK99S+jZmSC7x/m4MGD+Pnnn/HkyROoqKigdevW+OGHH9ClS5cGF3zOumoYxBd/UMuriZSiEvQKj0JzTTV07dIFW8MjwTAMBAIBysrKwDAMxGLxFwcNV1RUIDU1tUZhFh0djbKyMkgkElbj+uvjr4JOTU2t3gKYb9++DU1NTZibm+PcuXMYPHgwbty4gTZt2ny0HZWXonD3Gkje5AKfoznI8SGw6w2FLk4f7psIf/zxB06dOoVTp07h1q1b6NGjBxwdHXHr1i3Ex8fj7t27f2sQ9/379zFz5kxER0dDU1MTXl5e8PHx+Uc1/0+RmZnJ5hM9d+4cLCws2OD5du3a4d69ewgJCcEvv/yCjh07wt3dHQMGDACfz//ssUgsRuWLeFTcvQxJTjrA/csWgLgSvEY24LfpBq5u/QlYGdLIBN8/yM8//4zVq1djy5Yt6Nu3L/h8Pn799VdcuXIFAQEBDSr4unfpgr6SIriYf17s3FvBZ6aiCI/O7VDe5RtYW1sjPDwcJ06cQEFBAX7//fePnuIgFouRnp7+UU0tJycHBgYGNWpoISEhaNy4MX7++ee/9YYeERGBGTNmICcnB8bGxliwYAEmTpxYq7aSwnwUHQiEpKigdpofjw9+q05Q6D38s9Y4duxYHD9+HCKRCESEpk2bYvjw4XB2dkbbtm3/VuGTn58PLy8vhIaGgojg4uKCdevWSXmafg6SkkKIU56AivJAlSIwPD4YVS3wjK3AyNdfijKRSITr16+z2mBWVhYcHR3h5OSELl264OLFiwgJCWHN3e7u7lJ5aPPy8hAbG1vjKSTijGSUhO8AxGJAVF7zBBgG4PLA1RVCwXmCTANsAGSC7x+ioKAARkZG2LVrF+tE8T7vCz4XFxdcvXoVpaWlaNWqFTZv3owWLVoAqNLgxowZg8mTJwMAdu/ejR07diA6OhoAcP78ecycOROvX7/G2LFjcffSRTirycPFvMqEdvR5MnY8fons0nK01FKHXwdrGClV/8K9FXxzWjZBoZiw9eY95JaUokmTJigpKYFIJMKmTZtgZ2eH69evIygoCMnJyRAIBDA0NERJSQnS09PB4XCgqqoKhmGQm5sLfX19eHt7o3379jAxMUF+fj7mzJmD33//HTo6OvDz88OIESOwbds2eHh4gGEY8Pl89OzZExEREfX+/jQEVF6KkrOHIHoaV3VzqxRVr8QXgOHxId/NGYJWnb9ovMrKSly/fp3VBvPy8uDk5ARnZ2c4ODj8beEkEokEgYGBCAgIQGZmJjp16oT169ejXbt2bJ2rV6+iffv2NXr8inPSUPnsHqggEyCStlBwuAAIHE0j8Bq3AUddt97n/+rVK1YIXr16FW3btoWTkxOsra1x5coV7N27FyYmJpg0aRJcXV3ZJALHjh3DkCFD2H4qU56jNCKk5ve9JjhcMCrqUBoxq14FuwyZc8s/xo0bN1BWVib1xfgUNWUGqQ3Z2dkYNmwY/P39kZ2djUaNGuHW4z9Af2oe55MzsOXhC2zsaouYYb3RTlcDXtc+7tY90MwQka9ScXLdWhgYGKCgoIDNoDF37ly4u7tj/vz50NLSgq+vLzw8PJCYmIidO3eisLAQI0eOhEgkQnh4OEpKStC1a1dcv36dTanVr18/uLm5ITMzE6GhoZgxYwYePnyIqVOnYvTo0Zg3bx6Kior+M0IPABiBApQGToSqhz/ku/QHR00LkONX3bwFCuAKG0Np4CSoeqz4YqEHADweD926dcOPP/6IR48eITo6GjY2NggODoahoSH69euH4OBgvHr16ssX9xE4HA7mzp2L9PR0nD17FkVFRbCzs4OZmRn27NmDtLQ09OjRA2PHjpXyQiUiiJ7dhej3c6C811UZcN43y0vEgEQCSXYyKm5FojLxUb3P38zMDB4eHjh9+jQyMjLg7e2NFy9eYNq0aTh06BAGDRqEvn374tSpUxAKhdi/fz+ICG5ubrhy5QoAQJybidJTO2sl9BJzCqA6ay0qRSJQYT5KTm7/4hM6/grDMDWewvI18e/zL/9KyMnJgba29me5+E+aNIl9vnTpUmhoaKCgoABqamofaVWVSqx58+YYPnw4AGDOnDn4cdEPbPmhZ0mY1sICjdWqNIBvWzTClofPkVpcWqPWBwD6ivKwUFVG0p+B3Tk5OeDxeKioqMCoUaMwYcIEuLi44Pr166x57eXLl7h69Sp69+4NABg6dCjs7OwAAKNHj4aXlxeAqmOQzMzMWDOira0t6zTzVsP9L8NRUIZ8hz6Q79Dnbx23UaNGmD17NmbPno03b97g/PnzOHXqFJYtWwY9PT3WQaZDhw61OiOvLvTp0wdxcXFITEzEzJkz4e7uzn4+Tp8+jRUrVsDX1xcAUPn8HpYtW47nqenYNa/KkmE5fj4y89+Ay+FASZ6Pvu1t8PP0UVBWkAckYlT+cRNgGPBMmkmN+74FpLa8b3VRVFSEs7MznJ2dsWvXLkyePBkhISEQi8UgIujp6aGgoABAVSyrg4MDzp07B7viV4ColpreX5GIIcnLROWLR5BrbANA+oQRZWVl9OvXDxs3bvzHEkL8F5FpfP8QWlpayM7OrnUORLFYjPnz56NRo0ZQVVWFmZkZANQq+e77GT0YhoGB8jvTSVpxKVb8/hhtj5xH2yPn0f7oBRCAjJKPZ7MY3EiIq4/+gIKCAmJjY+Hh4QE+nw8+n8+O+dc9JVNTU6nckfr6+uxzRUVFFBVVeZcmJibi5s2bbHYSdXV1HDhwAOnp6Z9cq4zaoaqqimHDhmHXrl14/fo1tm/fDi6Xi+nTp0NfXx/jxo3D4cOH2Zv4+5iZmUFBQQHKysrQ19fHhAkT2PevNpiamiI8PBxZWVkAqsyhJSUlWLJkCbZv3w5xThrEL+/X6Hh1bKknsk9sxPUNi/D701dYHfqXZOISMSqf3ITkTU61dl9CZWVltfMZGYZBp06dUF5ejoqKCqxcuRKvX7+WaicSibB8oQ/EiX/gc8JapDupQMXdS1IvRUREoKioCLGxsbh37x5WrVpVt76/UmSC7x+iU6dOkJeXR1hYWK3qHzx4ECdPnsSFCxdQUFDAmqfemoaUlJSkAoj/KiTez0hCRHhdXPquXFEBy9u3wO8ufdjHg5F9Yauj8dE59TU3xvlbd2BhYQEbGxvWDXzz5s0wNDRkwwnekpSU9MkjjYCq7CTdu3eXyk5SVFTEBlzLjpmpX96mAPP390dcXBx+//13dOrUCXv27IFQKETv3r0RGBhY7bDX+rj5vk0araqqCoFAAIlEgqlTp+LRmV8+6QRkpK2Bb9pZ41Fi1Y+pnDeF+DZwN8xd50DY2BK+vr4Qi8V4/Pgxvv32W9y4cQPKyspsovXy8nJ4e3vDxMQEenp6+Pbbb1FaWvW9uHz5MoyNjREdHY1jx4590omJw+HA09MTACAnJwcejwculwsOh4M7cQ/gsvkIUvMK2frWS7fh0h/vTplYefoaJu+NrNbvWyTZ6RDnZlZ7XV9fH3379pXKONOjRw+pjDq7d+9Gly5dpNqdPn0aFhYW0NbWxvfffy/1Pd25cyeaNWsGDQ0N9O3bV+o0DIZhsGXLFjRp0oRNkP72HvTs2TN0794dampq0NbWlooT/bchE3z/EGpqali+fDk8PDwQFhbGOoacOXMG8+bNq1a/sLAQAoEAWlpaKCkpwcKFC6XKW7dujePHj6OkpATPnj1DSEgIW+bk5ISHDx/i+PHjqKysRFBQELJKyoA/zVmuTYTY+ugFEvKrvpiFFSKcSZL+5VoTihzg/OnIGtNWdejQAUpKSvjxxx8hEolw+fJlREREwNXV9ZP9Ojs74+nTp9i3bx9EIhFEIhFu376Nx48fAwD09PTw4sWLT/Yjo26YmJhg+vTpiIyMxOvXrzF79mw8fvwY3bt3h6WlJebOnYuysjJW83n/5lsbgfLjjz9CV1cXc+bMgZ+fH/z9/WFgYAB1dXV8/91smGm8i60sqxBhzKqt0Bnqide5+XjxukpLTM7KRXDYRZSWi9B++lKYuM4Fh+FgilN38DjAqlWrYGxsjCdPnmDLli1o2bIlvLy8YG1tDW9vb6ipqWHTpk1Yu3Ytnj17htTUVHh5eaF79+7o378/UlNTkZubi8GDB2Pbtm3o1q0bgKq8n8rKylL7ZJWVlez3QEdHBwEBAQgNDUVhYSGeBi+BAo8L76MX6/6mMIA4tXpigJSUFJw5cwaNGzf+rO5OnDiBO3fu4O7duzh58iR27twJoCqP7cqVK3H8+HFkZWWha9euGDVqlFTbU6dO4fbt24iLi8Phw4dx9mzVySGLFi3CN998g7y8PKSkpGDmzJl1XGzDIxN8/yBeXl74+eef4e/vDx0dHQiFQmzcuBGDBw+uVnfcuHE1ZgZ5y3fffQc+nw89PT2MHz9eyvFFW1sbR44cYZ1NEhISYN+hA5s78huhPqY0t8B312LR5vA5OJ2OxpW0rI9PnmGg1NoOHbr3QKNGjaoV8/l8hIeH48yZM9DW1saMGTOwd+9eWFlZffK6qKio4Ny5czh06BAMDQ2hr68PHx8fNkWau7s7Hj16BHV19RqvlYz6Q0lJCQMHDsS2bduQmpqK0NBQqKmpIS8vDy4uLnB1dUVQUBBOnTrF3nx9fHzw9OlTxMbGsgJl+fLlbJ/p6ekoKytDamoq/Pz8EBgYiBs3buD+/fuIjo5GUPBmpGTlsfVPxcRhaJd2SDu8DkryAszauB96w2ait/caCPg8ZBcUYtvcieByOPhpuissTQxwKXAhdv20Epqamhg9ejQCAwMRGxuLo0eP4ubNm2jatCk4HA7mz5+POXPmQFlZGQsXLsSuXbvQtm1bhIWFgcvlIiEhAVwuFwoKCqyjSm5uLjIzM6GlpYWYmBioqKhAS0sLwcHB4HA4SEtLg4+PDyZNmoSRI0eCit/A+5uOuPYsGXVGXAkqf2elGTx4MFRUVCAUCqGrq/vJJArv4+PjA01NTZiYmGDOnDkIDQ0FAGzduhULFixAs2bNwOPxsHDhQsTGxkppffPnz4e6ujpMTEzQs2dP9gePnJwcEhMTkZaWBnl5+Wpa5r8JWTjDV0zqal+UPLiHuuw9MAIBjBasgkKTTwsyGf9/mJmZISsrC2KxGOXl5eByuWjfvj0GDRqE5cuX4/79+6wgvHHjBtzc3PDy5UtcvnwZjo6OKCoqApfLZfOHxsTEoEOHDgAA22ZNMN/lGwy0bwP//eE4dyceV9ZVWTiajvNBUVkZDi/2QBfrprAcPx8L3ZzR3MwI3b9bBVXFd+EQlRJCpYTYH0xA1bmSRITmzZuzgf3v3wLV1NRQXl6OsrIycDgcEBEYhvlg2rK3qe+4XK7UWG9REvDBAVBYXoG8dV7gcjiwXroNG0b1RU/LqhNAVp6+hhfZ+dgxzgmJOQWwWbYduYFe4HE5bweBoJMj+LY9YGZmhh07dsDBwQFRUVFwc3NDVFQUe70/FdrEMAzi4+NZR7HIyEh4e3vj8ePHaN68OZKSkqSc7srLy3Hx4kXY29uDYRgkJCSwY73NZOPv74/09HQsWrQIkZGR0NDQwNy5c6Uc8v5NyDS+rxidcdPA1OGkBIbPh1Kr9pBvbNkAs5LxX+HkyZMoKyvD5cuXoauriylTpuDp06coLS2FpaUlBAIB63X41okFqHLseus1+ja9mp6eHlsuz+ejuOydADHW0WSfMwwDbVUVvM4pkCo31tGAQI6HlF8C8dO3rjDV0wKIqgkisVgMPp8PbW1tcLlcDBw4EAAwZswYjBkzBoqKili8eDFmzJgBDQ0NDBkyBL1798bt27dx6VKVg0lhYSGICLt27ULnzp0hFoshEolQVlYGNTU1KCgoQFVVFS1atEBaWhoyDgTizOwqE/9bGavIl0NpxTsvz8zCTyT45vLAKFRPrde9e3dMmDBBKq/qx/b73/L+KSRvD4EWCoXYunWr1P56aWkp7O3tPz4/VJm8t2/fjrS0NGzduhUzZsz414ZNyATfVwzfUAgj76VgBLUXfgxfAIFFU+h7fC9zMpEBoOrmO3HiRISHh2PHjh1QUFDA2bNnsXTpUrRq1QoMw6Bv377YtWsXcnNzP9nf+5+rlKx3bYgI2W8KYaD1l+OeGMBAUx0Ots0xY/1ezFi/Fz99Owo3j+7Gb7/9BnNzc2hrawOoEro2NjY4e/Ys64UMAEuWLIGnpyfKysowbdo0DBgwAIqKihAIBNDT04OtrS2b7/Rjx2oNHToUgYGBmDJlCoRCITQ0NFBkaInVZ2Ok6tkY6eLo3ScQicW4m5SOsNinH78oEgm4Zs1rLHqbhPutyfFj+/1vCQgIQF5eHpKTk7F+/XrWEeXbb7/FqlWr8PDhQwBViTaOHDny8bn9yZEjR9hjsTQ0NMAwTIOFxXwpMsH3laPQzAbCxQHgaWqDkf9IaiSeHBg5OajYd4fxgpVgeHJ/3yRl/Ot5e/O9f/8+pkyZgm3btsHd3R3Xrl3DlStXYGFhgTNnzmDcuHHIzMyEv78/YmNjq5kZAQA8HsC8uzXde5aEsGt3USkWo7C0DHJcHjpYWVRrtsN7EkrLKlBRKcbgxUFwm7cMv/zyC5KSkuDn54dOnTohJyeHPUR3zZo1rMmudevWmDBhAoRCIZYsWQKRSITy8nKpBAk6OjrgcDgfdazauXMnpk2bBi8vL5SWlkJbWxtdx38LhxbS8/V16oyX2fkw8dmIlaevwaXtR7YMGAY8s2bg1KDxvZ3XuHHj4OfnB+Dj+/1veXv8UuvWreHk5MSeHzlkyBD4+PjA1dUVqqqqsLa2xpkzZz48t79w+/ZtdOjQgT3Ga/36/7V351FVVe/jx993AARkEhwRQSMZc2oAACAASURBVFHUyMQRRxxySISUUhQFrpqlqV+Vsk9+NNPM+qystH76TUsNL5qmloqAoklfTS0tSxxxHhhMUWQUhcu99/cHH28So4hD8LzWYi3vPefsvc/1j2edffZ+ns8fS3L0ypB3fAIAo8HAnVNHuRX9HXcSjqNQmxW+/9DrUZiZYTfAH/vnfVE7VC7Poqhe7n/PdM/rr79Oamoq33zzDfPnz+fbb7/l5s2bODs78/rrrzN16lR++OEHRo0aRUhICFFRUeTm5nL16lVWrlzJqFGjsLS0pEe3brzS05OgPt4sWLuNk5dTUKmU7PztOO4N67EsTEO75oXvxlpqZrJseih92/31NDR39Ra+itlDbp6Ofv37k5WVhUajYfz48SVuZL//vdXFixfRaDQcOXKErl270rJlSzIyMkwb2N99912WLVuGTqcjNja22CKz0tzduxXdiYOFmWYekFGlxjpgAqqGbg98rSiZBD5RjD73NvqsDIz5+SitrFE7OKJ4SqcsxD+X0Wjk7Nmzplyiv//+O7169cLPz4+RnvWxyCk/OUPJFBjrN2XzqT/RarUcPnyYYcOGodFoTAs0Hjdj3h1ur1+MMSfjrxd9FZBvgK3HL9BhyrtlJn4XD0YCnxDiqZCens7OnTuJjo7m+rmTbJr9GrXMKzGlrlRj3m0oytqFG9WTk5NZu3YtWq0WvV5PaGgoISEhuLq6VvEdlM2QnU7upv/FeCenYk9+ajPUbq2JzFDzP1On8sUXX5Sa0F48GAl8QoinTkFBAef3bqfR3WuYqyq+FCFfb8CqfT/UDYu/AzQajfz6669otVo2btzIc889h0aj4eWXX35seS6Nd25zZ/cG9En/zYJTUnYaM3NAgXmH3ph3fB6FQsGRI0cICAggODiY+fPnP9W1Df8JJPAJIZ5aBYmnKDh9CKNBT9kTlAqMSiX/+norzbx7ExYWVubZ9xauaLVa9u3bx5AhQ9BoNPTu3fuxBBVDTia647+gO3kQ491cjEYjeoMRc6cGmHfog7r5c8UWkKWmpjJs2DDs7e1Zu3Yttra2j3yc1ZUEPiHEU82QdZOCi8cwpP43e8h904S37+ahUio5dTMX8+ZeOLo0w8fHh48//rhC6fEArl+/zrp169BqtaSnpxMaGkpoaCgtWrR4FLdTjNFo5Mtly/ifadPIzc3FzKz06d38/HymT5/Onj172Lp1Kx4eHo9ljNWNPC8LIZ5qSlsnzL36YtE7CLVHZ1QurVE2aIaqyTPYtu/DuXpt2XEpg1enFRYy9vLy4rXXXmPbtm0Var9+/fqEhYURHx9PZGQkOTk59OjRg+7du/PVV1+RkZHxSO9PoVAQu2sXBQUFLFy4sMxzzc3N+eKLL5g+fTo9evQgNjb2kY6tupInPiFEtZGUlERMTAxarZZDhw7RoUMHgoKC8PPze6Cno3vbFbRaLbt37+aFF15Ao9HQv3//B6qhWRF3797FycmJ27dvY2lpyYkTJ2jWrPg7yr/bv38/gYGBhIWFMWPGDEko8QAk8AkhqqW1a9cybdo0Bg4cyN69e7G2tjYV2+3Ro0eZU4r3u3XrFt9++y1arZakpCSCg4PRaDRVVhR548aNjB8/nuzsbJRKJV27dmXfvn0VCmRJSUkMHTqUVq1ambLmiPLJVKcQoloKDg5m7ty5/PHHH8THx7NhwwYcHBx4++23qVevHiNGjGDNmjXlFnOuU6cOkyZN4tChQ8TFxaFUKhk4cCAdO3ZkyZIlFSoGXZbVq1ebcooajUbOnDlT4TZdXFzYt28fAD169CiSg1OUTp74hBDV2syZM9m7dy9xcXFYWVkBhYmbt2/fTnR0NHFxcbRp0wY/Pz/8/Pzw9PQs92lLr9cTFxeHVqslJiaGvn37otFoGDRokCn/Z0WdPXuWzMxMXnjhBSZOnMgHH3zwwPdoNBr55JNPWLx4MRs3bnyqSwI9DSTwCSGqNaPRiEajIT09nS1bthR7R3f37l327t1LdHQ0UVFRKBQKUxDs1atXmUmp4a9EzlqtljNnzhAUFIRGo6Fdu3YP9N6tZcuWdO7cmTVr1lTqPgFiY2MJDQ1lwYIFvPbaa5Vup7qTwCeEqPZ0Oh1+fn40adKEr776qtSAZDQaOXXqFFFRUURHR3P8+HH69u2Lv78/vr6+NGjQoMx+Lly4QEREBBEREdSuXduUJLphw4bljrFnz56o1WpT+aPKOnv2LEOGDKFPnz589tlnD/wEWhNI4BNC1AjZ2dn06dOHwYMHV7hi+c2bN4mNjSUqKopdu3bRokUL0wIZLy+vUgOowWBg3759aLVatmzZQteuXdFoNAwZMqTUJ8igoCDi4+NJSEio9D3ek5WVxejRo8nKymLTpk3Uq1fvodusTmRxixCiRrCxsSEmJoZvvvmGL7/8skLXODk5ERwczIYNG0hNTeWjjz4iMzOTESNG0LhxYyZMmGCqMnE/pVJJr169+Prrr0lOTmbUqFGsWLECZ2dnJk6cyC+//FKsJJObmxvp6elVcq+2trZERkbSs2dPOnfuzJEjR6qk3epCnviEEDXK+fPn6dmzJ8uXL2fIkCGVbuf+yhKHDx/Gx8cHPz8/Bg8ejIuLS4nXJCUlsWbNGrRaLYApYXaTJk0IDw9nypQp3L59u9JjKsnGjRuZPHkyS5cuNRWcrekk8AkhapzffvsNX19ftm7dSvfu3R+6vYyMDFNliR07dtC4cWP8/f3x8/OjU6dOxfJ/Go1GDh06ZEqY7eXlRc+ePXn//ffR6x+8Zl954uPjCQgIICgoiPfff/+prYz+uEjgE0LUSLGxsWg0Gvbs2UPr1q2rrF29Xs/BgwdNC2Ru3LiBr68v/v7+9O/fHxsbmyLn3717l6ioKFatWsXOnTsJCQlh3Lhx+Pj4VGnC7Bs3bhAYGIiVlRXr1q3Dzs6uytr+p5HAJ4SosSIiInj33Xc5cOAAzs7Oj6SPS5cuERMTQ3R0ND///DNdunQxbZf4e2oypVLJG2+8wa5du8jOziYkJITQ0FCaN29eJWPR6XS88cYb/PDDD0RGRtKyZcsqafefRha3CCFqrNDQUCZOnMigQYMeWTLqpk2bMmXKFGJjY0lJSeH111/n6NGjdOvWDU9PT95++2327dtHQUEBFhYWtGvXjqNHj7J582aysrLo1q0bPXr0YMWKFWRmZj7UWMzMzFiyZAkzZsygZ8+ebN++vYru8p9FnviEEDWa0Whk6tSpnDhxgtjYWCwsLB5LvwaDgd9//900JXrlyhVu377N4MGDWblyJQ4ODkDhU9qOHTvQarXExcXh6+uLRqOhX79+D/Wu7ueff2b48OFMnTqVf/3rXzUqybUEPiFEjafX6xk5ciQKhYJvv/32iVQ4T05OpkOHDpiZmZGVlUX79u1NewY9PDxQKBSkpaWxfv16tFotV69eNSXMfuaZZyrdZ0BAAM2bN2fVqlWmlG7VnUx1CiFqPJVKxZo1a0hNTSUsLKzYHrvHoXHjxrRo0QIPDw+uXbvGW2+9xYULF+jXrx8eHh6mmoGvvfYav/32Gz/88AMA/fv3p1OnTixdupS0tLQH7vOnn35CrVbTo0cPEhMTH8WtPXUk8AkhBFCrVi22bt3Kjz/+yMcff/xExtC4cWOuXbuGlZUVgwcPZtmyZSQmJrJp0yYcHR2ZPXs29evXJzAwkMOHDzNjxgwSExNZsGABP//8M+7u7rz00ktERkai0+kq1KelpSURERGMHj2aLl26mKo95OTk8Ouvvz7K231iZKpTCCHuk5ycTPfu3VmwYAEhISGPte+ZM2eyevVqrl27Vuo5169fN1WW2L17N56enqY9gy4uLnz33XdotVrOnj1rSphdVnq1++3atYuQkBDmzp1LZGQke/fu5dq1a9jb21flbT5xEviEEOJvTp06RZ8+fYiIiGDgwIGPrd9Vq1YxderUCmdvycvLK1JZwmAwmN4Luri4sGHDBiIiIrC1tTUlzC4v0fb58+fp0qULmZmZmJmZMWfOHP79738XOcdwOxP9hXgMN1IwFuSjUKpQWNmgavYcygZuKBRP92SiBD4hhCjB/v37CQgIYMeOHXTs2PGx9Hnw4EG6d+9eqewtRqORhIQEUxA8duwYffr0wdfXF0dHR6Kjo9m6dSvdunVDo9Hw4osvlpgwe/PmzQQFBZGfnw+Avb09169fx9zcHEPaVXQnDmBMvw5GIxgNRS9Wm4FShap5O9QeHVAon84MMRL4hBCiFFu3bmXSpEns27cPd3f3R95fTk4ONjY25OXlPXQ5obS0NGJjY4mOjmbnzp24u7szYMAALCws2Lt3L/Hx8QQGBqLRaPD29kahUJCbm0u7du24du0a+fn5GAwG8vPzef/995kZHEDB0T2gLyi/c5UahX1dzLsNRWH29JVFksAnhBBlWL58OZ9++ikHDhx4LOV9lEolR48epU2bNg987cSJE3F2dmbOnDlFvtfpdBw4cMCUVPvSpUt4eXnRokULDh48iEqlQqPREB8fz3fffUe9evWIiYnh4sWLhIeHE9izIyOfqQ/6Aga8u4Qgn46M7de1nBtRobCvh7nPy1X+5Ldnzx6Cg4NJTk6u1PVP90SsEEI8YRMnTiQoKIjBgweTk5PzyPuzsLDgxIkTxb53c3PD3NycmzdvFvn+3sKVy5cvs3z58mJBDwoztvTu3ZtPPvmE06dP4+XlhZubG3/++Sepqak4OjqyY8cONm3ahNFo5Pr16wQEBPD8888T8/1GU9B7IAY9xowbFJx++laGSuATQohyvPfee7Rt25Zhw4ZVeJtAZdWuXZszZ86UeKxp06asX7/e9Pn48ePcuXPngfuwtLSkf//+xMXFkZSURFhYmClTzD1JSUm4u7tTcPFY4fu8yjAUoL9wFKOh6itOPAwJfEIIUQ6FQsHy5ctRq9WMHz/+kW5wd3Bw4NKlSyUeCwkJISIiwvRZq9USGhpq+jxmzBjeeecd0+fIyEi8vLywtbXF3d2d2NhY07ErV67QvXt3GjduzIoVK0pMhJ2RkUEHv0B+Ona6xPFcvHaTF+b+L86aWTQeM5sxn60h4/ZfRXlbTnyPxZt30dbTEzs7O0aMGMHdu3dNxxcuXEjDhg1p1KgRK1euRKFQcP78eaBwxeqMGTNo0qQJ9evXZ+LEiaUG+YSEBHr37o29vT2enp5s27atxPPukcAnhBAVoFar2bBhA2fOnGHWrFmPrJ969eqRlJRU4rEuXbqQlZVFQkICer2eDRs2EBwcXOK5v/76K6GhoXz88cdkZGTw008/4ebmZjq+bt06wsPDSU1NJT8/nzNnztChQwdCQkKwtrZm8eLFZF04yX/GvkTQx+HcyCw+zWs0GnnrpX5cXDmfI5//m+Sb6SzYEFvknO/3/07kgjAuXbrEsWPHWL16NVBYFmrRokXs3r2b8+fPs3fv3iLXvf3225w9e5b4+HjOnz9PSkoK8+fPLzYGnU6Hv78/AwYMIDU1lSVLljB69OiyfmIJfEIIUVHW1tZER0ezefNmli5d+kj6aNSoEdevXy/1+L2nvh9++IFWrVqVWk5p1apVjBs3jv79+6NUKnF2dqZVq1am42PHjsXDwwNLS0sCAwPR6/UcPnwYT09PAgICmD59OpYKA8+3bUl7dxd2/nGqWB/uDevyfNuWWJipqWtXm6n+vdl/6kKRcyb7+tDQ2ow6derg7+9PfHw8UFgZfuzYsXh6emJlZcXcuXNN1xiNRlasWMHixYupU6cONjY2zJo1i2+//bbYGA4ePEhOTg4zZ87E3Nycvn374ufnV+ZvrC7zqBBCiCKcnJyIjY2lR48eNGjQgGHDhlVp+02bNjWlDStJSEgIPj4+XLp0qcg0598lJSXh6+tb6vH7N7JbWVmZFu5cuXKFTZs2ERUVBQY96PXo9Hp8nm1RrI3UzGzeXLWZAwkXyblzF4PRiL110UTX9e1t4L/7Eq2srLh69SoAV69eLbI/0sXFxfTvGzdukJubS4cOHUzfGY3GEvc3Xr16FRcXlyKJxV1dXUu9b5DAJ4QQD6xp06bExMQwYMAA6tatS69evaqs7RYtWpCdnV3qcVdXV5o2bcr27dtZtWpVqee5uLhw4cKFUo+XdV1ISAgrVqyg4MopCuL3gL7kBT3vro1GAfy26F842liz7dAxwlZ+X+w8hdqs2HcNGzYssh3h/uldJycnLC0tOXnyZLkFghs1akRSUhIGg8EU/MpLti1TnUIIUQleXl6sX7+e4cOHc/z48Spr19PTs9yVmqtWreLHH3/E2tq61HNeeeUVwsPDiYuLw2AwkJKSwunTJS9SuV9wcDBRUVHs3LkTY+063M3P56cT50hOK16oN/tOHrUtLbC3siQlLYPFkf9XQosKFA71i30bGBhIeHg4CQkJ5ObmFnl/p1QqefXVVwkLCyM1NRWAlJQUdu7cWawdb29vrK2tWbhwITqdjj179hQ+rZZBAp8QQlTS888/z+eff46vr2+VlfRp06YNBoOBgoLS9825u7uXm0atc+fOhIeHExYWhp2dHb169eLKlSvl9u/i4kJkZCQffvgh9Vs8Q4tX32Vx5P9hMBRfyTo7cCDxF5OpHzqTlz78iiFdniveoEqJukX7Yl8PGjSIqVOn0qdPH5o3b07XroUb4u8VAv7oo49o3rw5Xbp0wdbWln79+pW4zcPc3Jxt27axY8cOnJycmDRpUpGVryWRzC1CCPGQFi1axMqVK9m/fz916tR56PaUSiXHjh3j2WefrYLRPRx9YgJ3D+9GhaH8k0ugsKmDRf/yq1wkJCTw7LPPkpeXh1r9aN/CyROfEEI8pDfeeANfX19efPHFSm0o/zsLCwtOnjxZBSN7cPcyt+zfv58vvviCZ/sP4fqtjMqFPZUatWf3Ug9v2bKF/Px80tPTefvtt/H393/kQQ8k8AkhRJVYuHAhrq6ujBo1qlLVFe5nbW1dofdxVS0lJQU7OztcXV0ZOHAgkydP5sy58xi9/VCaWQDl1/QzUalReXRE1ahZqad8+eWX1K1bF3d3d1QqFcuWLXv4m6gACXxCCFEFlEol4eHhZGdnM3ny5IfK7lJW9pZHqVGjRrRr1478/Hxyc3NRqVQsWrQI9zbtMO8zEmpZgar4Cs0iFApQqlE/0xWz1t5lnhobG0tmZia3bt1iy5YtNGzYsArvpowhyjs+IYSoOllZWfTq1YuXXnqpxITRFdG9e3dq1apFXFxcFY+ubIcPH2bAgAGkp6cDhXv9rly5YiqRZCzQoU88TcG53+Hu7cIcngY9KJSgUoHRiMqlFarm7VDaPvy7zkdF9vEJIUQVsrW1ZceOHXTr1o1GjRrxyiuvPHAbzs7OnDpVPFPKoxQWFsbnn39Or169mDhxIiNHjmTx4sVF6gIq1Gaom7VB1fRZjLeuYchIBV1eYf29WtYoGzZFoX766u/9nQQ+IYSoYg0aNCA2NhYfHx/q169fbgqtv3Nzcysze0tVSkxMpHfv3iQnJ7Nq1SrGjh0LQOPGjU1bDP5OoVCgcGyI0vHxTE1WNXnHJ4QQj4CHhweRkZGMHTuWgwcPPvC1ZWVvqSpLliyhWbNmWFpakpycbAp6UDjden8asOqket6VEEI8Bby9vVm9ejVDhw4ttcZeSVq3bl2kfE9Vy8rKwtvbm+nTp/POO+9w8uTJx1Jd/mkhi1uEEOIR+/rrr1mwYAEHDhyo0MrFrKws7Ozs0Ol0Vb6vLTIykpEjR2Jvb8+PP/5I69atq7T9fwJ54hNCiEds3LhxjBs3jkGDBpGVlVXmuYmJiab3e9OmTWPatGnk5eU99BgKCgoICAggICCAESNGkJKSUiODHsgTnxBCPBZGo5FJkyZx7tw5YmJiTDkp/65v374cOHCA/Px8AGrXrk1aWlqR1ZUP6rfffuOFF14gPz+fyMhI+vbtW+m2qgN54hNCiMdAoVCwdOlSbGxsGDNmDAaDAZ1OV6x00CeffIJKpTJdExIS8lBBb/r06Xh7e+Pl5cWNGzdqfNADeeITQojH6s6dO/Tv35927dpx5MgRTp06RVpaGgrFX+nApkyZwhdffIFSqeTIkSO0adPmgfu5cuUKvXv3JiUlhRUrVqDRaKryNv7RJPAJIcRjdvr0adq2bYter6dWrVr88ssvRYJbTk4ODg4OmJmZkZubW257Op2OzMxMnJycAPjss8+YMWMGrVq14scff6xRKzYrQqY6hRDiMcrJyaFv374UFBSg1+vJy8sjNja2yDnWlrWYN+VVwka8iD75LPrURIwFJVdBB3jrrbfw9PQkOTmZTp068eabbzJnzhxOnDghQa8E8sQnhBCPUUFBAR988AFLly4lNzeX3NxcWrVqRUJCAoacDPTnjqC/dAxdQQG6fB1WVlb/vdKIyq0NKo/2KGvbm9pLSkqiZcuW6HQ6DAYD9evXJy4ursau2KwICXxCCPEE6PV6du/ezZw5czh69Cg5v+5Cf+6PwsTPxlKq3ymUoFCicm+L2qs3CoWCwMBAvvvuO4xGIyqVim+++YYRI0Y83pv5h5HAJ4QQT5DRaET363YMyedAX1Cxi1RqlI3c2ZqUy4gRIwGwtLTEaDTSpEmTB8oSUxPJOz4hhHiC4lb/L019R1c86AHoC8hPPMu5qG+oV68e77zzDuHh4YSGhtKuXbtHMs4PP/yQ8ePHP3Q7tWvX5uLFi1UwosqT6gxCiGrDzc2NlStX0q9fvyc9lAox6vIwJFau0rpaYSTsxd7MWrURhXktABISErh9+/YDtzVhwgTu3LlDREREke+PHTtGp06d+PPPP5k1a1alxvl3OTk5VdLOw5AnPiGEeEwKCoo+1ekvP1zNPaVSScGlEw/VBsCYMWPYvHlzsaAZERGBn58fdeo8vUVlK0MCnxCiRoiOjsbLywt7e3u6devGsWPHTMcSEhLo3bs39vb2eHp6sm3bNtOxMWPGMHnyZAYPHoyNjQ3e3t5Fsq1MmzYNFxcXbG1t6dChQ5E6evPmzWPYsGEEBwdja2vL6tWruXPnDmPGjMHBwYE2zw/m8LnLRcZ5Ovk6A95bRoOxc2j/5idEHz5Z6j1d/jOVvi+PwsbGhv79+3Pz5s0ix4cPH06DBg2ws7PDx8eHkydLbqtr1644Ozvz/fffm77T6/WsW7fOtPF93rx5BAcHF/Z7+TIKhQKtVkuTJk1wcnLigw8+KHLthx9+iLu7OzY2NnTo0IGkpCSgMBvN+fPnS72nx0ECnxCi2vvjjz8YN24cX375JWlpaUyYMIEXX3yRvLw8dDod/v7+DBgwgNTUVJYsWcLo0aOLLBBZv349c+fOJT09nebNmzN79mzTsU6dOhEfH8+tW7cYNWoUw4cPL1JSKDIykmHDhpGRkcHo0aN57733uHDhAucTTrJt1it8s/ew6VxdgZ6XF4bT7zkPElfMZdHYoYxdsp6zV1NLvC/N//uGdm6NuJF8hTlz5qDVaoscHzRoEOfOnSM1NZX27dszevToUn+j0NDQIlOdu3fvRqfTMWjQoFKv2b9/P2fOnCEuLo758+eTkJAAwKJFi1i/fj3bt28nKyuLr7/++r5tGU+eBD4hRLW3YsUKJkyYgLe3NyqVCo1Gg4WFBQcPHuTgwYPk5OQwc+ZMzM3N6du3L35+fqxfv950/UsvvUTnzp1Rq9WMHj2a+Ph407Hg4GAcHR1Rq9W8+eab5OXlFQmaXbt2ZejQoSiVSiwtLdm4cSOzZ8/GobYVLnWdmDSoh+ncQ+eucPtuHjOG9MFcrab3s80Z1L41Gw/81d89iTfT+f1CMnNH+WKuAB8fH/z9/YucM27cOGxsbLCwsGDevHkcPXqUzMzMEn+jkJAQ9u7dS3JyMlA4zTlq1CjMzMxK/V3nzp2LpaUlbdu2pW3bthw9ehSAlStXsmDBAlq2bIlCoaBt27Y4OjqW9V/0WEngE0JUe1euXOHTTz/F3t7e9JeUlMTVq1e5evUqLi4uRaqNu7q6kpKSYvrcoEED07+trKyKLND49NNPad26NXZ2dtjb25OZmVlkytHFxaXIWO71p1CqACNNnBxMx/5Mz8LZ0b7IWJrUdeDqreLB6s9bWThYW2JtYQH/Pd/V1dV0XK/XM3PmTNzd3bG1tcXNzQ2g2HSoqZ8mTfDx8WHt2rXk5OSwdevWcvN7lva7JCUl4e7uXua1T5IEPiFEtefi4sLs2bPJyMgw/eXm5hIUFESjRo1ISkrCYPhr03hiYiLOzs7ltrtv3z4++ugjNm7cSHp6OhkZGdjZ2XH/9uj7k08DNGzYsPB9l3ktMBhISsv465iDLSlpGUXGknQznUZ17Ir13cDBlvTbd7idm4vCwso07nvWrVtHZGQku3fvJjMzk8uXLwNQ1tZtjUZDREQE33//PU2bNqV9+/bl/gYlcXFxKVZ14mkigU8IUa3odDru3r1r+isoKODVV19l+fLlHDp0CKPRyO3bt4mJiSE7Oxtvb2+sra1ZuHAhOp2OPXv2EBUVxciRI8vtKzs7G7VaTd26dSkoKGD+/PnlFpoNDAzkP//5DxnZOaQorFkWu990rHOLJljVMufTbXvQFej56eQFtv+ewPBuXsXaca3rQPtmjVkQ/TM6Y+H7tqioqCJjs7CwwNHRkdzc3AptR3j55ZdJSkpi7ty5D1XNYfz48cyZM4dz585hNBo5duwYaWlplW6vqkngE0JUK76+vlhaWpr+5s2bR8eOHVmxYgVTpkzBwcGB5s2bs3r1agDMzc3Ztm0bO3bswMnJiUmTJhEREUGrVq3K7WvgwIEMGjQIDw8PXF1dqVWrVrGpzb+bO3curq6uNG3aFP9ZnxDUq7PpmLlazXdvjWVX/Bkaj5/HtFWbWTl5BC2dS040rQ0L5bfL16hTpw7vvfceoaGhpmOhoaG4urri7OzMM888Q5cuXcq9H2tra1PwK2shTHneeOMNAgMDGTBgALa2trzyyivcuXOn6xGtJQAAAVJJREFU0u1VNUlZJoQQT4jRaCQv5ivIza5cA7WssfCfWGw6VZRNnviEEOIJUSgUmHcbAqpKJNFSqTHvPlSCXiVI4BNCiCdIWacBZj0CQFX6toFiVGrMug1B6djw0Q2sGpOpTiGEeAoYMlLRHd6FMeMmGPWF5Ynup1CAUoXC1hGzjgNQOtR/MgOtBiTwCSHEU8SQlYb+7B/oU86BLr/wSzNzVM7NUbVoj9LO6ckOsBqQwCeEEKJGkXd8QgghahQJfEIIIWoUCXxCCCFqFAl8QgghahQJfEIIIWoUCXxCCCFqFAl8QgghahQJfEIIIWoUCXxCCCFqFAl8QgghahQJfEIIIWoUCXxCCCFqFAl8QgghahQJfEIIIWoUCXxCCCFqFAl8QgghahQJfEIIIWoUCXxCCCFqFAl8QgghahQJfEIIIWoUCXxCCCFqFAl8QgghapT/D260s+94ej9UAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] @@ -525,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 28, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:59.948034Z", @@ -540,7 +487,7 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 68, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -552,7 +499,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 29, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.160391Z", @@ -573,32 +520,21 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 30, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.418151Z", "start_time": "2019-07-15T12:30:00.409645Z" } }, - "outputs": [ - { - "data": { - "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pagerank.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -614,7 +550,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 32, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.579524Z", @@ -628,7 +564,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.664046Z", @@ -642,7 +578,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.743915Z", @@ -658,7 +594,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.828186Z", @@ -673,7 +609,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.909582Z", @@ -688,7 +624,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:01.562315Z", @@ -726,7 +662,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.084786Z", @@ -740,7 +676,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -751,7 +687,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:02.531956Z", @@ -759,28 +695,19 @@ }, "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" - ] - }, - "execution_count": 81, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pagerank.fit(adjacency, personalization)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "score = pagerank.score_" + ] }, { "cell_type": "markdown", @@ -791,7 +718,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 46, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:03.316585Z", @@ -801,7 +728,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -815,7 +742,7 @@ "draw(graph, \n", " pos = pos, \n", " edge_color = 'grey',\n", - " node_color = pr.ranking_, \n", + " node_color = np.log(score), \n", " cmap = 'coolwarm')\n", "show_labels = draw_networkx_labels(graph,\n", " pos_labels,\n", diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index cb8b0a5a5..a9237f9eb 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -41,14 +41,14 @@ class BiLouvain(Algorithm): Parameters ---------- + engine : str + ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. algorithm : The optimization algorithm. Requires a fit method. Requires `score\\_` and `labels\\_` attributes. If ``'default'``, uses greedy modularity optimization algorithm: :class:`GreedyModularity`. - engine : str - ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. resolution : Resolution parameter. tol : diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index c5942dd75..0d9fdcba0 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -376,14 +376,14 @@ class Louvain(Algorithm): Parameters ---------- + engine : str + ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. algorithm : The optimization algorithm. Requires a fit method. Requires `score\\_` and `labels\\_` attributes. If ``'default'``, uses greedy modularity optimization algorithm: :class:`GreedyModularity`. - engine : str - ``'default'``, ``'python'`` or ``'numba'``. If ``'default'``, tests if numba is available. resolution : Resolution parameter. tol : diff --git a/sknetwork/clustering/metrics.py b/sknetwork/clustering/metrics.py index 8393574ad..4d31e4521 100644 --- a/sknetwork/clustering/metrics.py +++ b/sknetwork/clustering/metrics.py @@ -97,7 +97,7 @@ def bimodularity(biadjacency: Union[sparse.csr_matrix, np.ndarray], sample_label Returns ------- - bimodularity: + bimodularity: float Bimodularity of the clustering. """ biadjacency = check_format(biadjacency) diff --git a/sknetwork/hierarchy/metrics.py b/sknetwork/hierarchy/metrics.py index d5f11efe0..11c537e4d 100644 --- a/sknetwork/hierarchy/metrics.py +++ b/sknetwork/hierarchy/metrics.py @@ -17,23 +17,23 @@ def dasgupta_cost(adjacency: sparse.csr_matrix, dendrogram: np.ndarray, Parameters ---------- adjacency : - Adjacency matrix of the graph. + Adjacency matrix of the graph. dendrogram : - Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster + Dendrogram. weights : - Vector of node weights. Default = 'uniform', weight 1 for each node. + Vector of node weights. Default = 'uniform', weight 1 for each node. normalized: - If true, normalized by the number of nodes of the graph. + If true, normalized by the number of nodes of the graph. Returns ------- cost : float - Dasgupta's cost of the hierarchy. - Normalized by the number of nodes to get a value between 0 and 1. + Dasgupta's cost of the hierarchy. + If normalized, normalized by the number of nodes to get a value between 0 and 1. References ---------- - S. Dasgupta (2016). A cost function for similarity-based hierarchical clustering. + Dasgupta, S. (2016). A cost function for similarity-based hierarchical clustering. Proceedings of ACM symposium on Theory of Computing. """ @@ -83,19 +83,19 @@ def tree_sampling_divergence(adjacency: sparse.csr_matrix, dendrogram: np.ndarra Parameters ---------- adjacency : - Adjacency matrix of the graph. + Adjacency matrix of the graph. dendrogram : - Each row contains the two merged nodes, the height in the dendrogram, and the size of the corresponding cluster + Dendrogram. weights : - Vector of node weights. Default = 'degree', weight of each node in the adjacency. + Vector of node weights. Default = 'degree', weight of each node in the adjacency. normalized: - If true, normalized by the mutual information of the graph. + If true, normalized by the mutual information of the graph. Returns ------- quality : float - The tree sampling divergence of the hierarchy (quality metric). - Normalized by the mutual information to get a value between 0 and 1. + The tree sampling divergence of the hierarchy (quality metric). + If normalized, normalized by the mutual information of the graph to get a value between 0 and 1. References ---------- diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index a7d3d1b8e..3d7a2328c 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -75,7 +75,6 @@ class PageRank(Algorithm): >>> pagerank = PageRank() >>> adjacency = rock_paper_scissors() >>> pagerank.fit(adjacency) - PageRank(damping_factor=0.85, method='diter', n_iter=25) >>> np.round(pagerank.score_, 2) array([0.33, 0.33, 0.33]) @@ -108,7 +107,7 @@ def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: self.diffusion = njit(diffusion, parallel=parallel) def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], - personalization: Union[None, np.ndarray] = None) -> 'PageRank': + personalization: Union[None, np.ndarray] = None): """Standard PageRank via matrix factorization or D-iteration. Parameters @@ -161,5 +160,3 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], self.score_ = abs(eigenvector.real) / abs(eigenvector.real).sum() self.score_.reshape((self.score_.shape[0])) - - return self diff --git a/sknetwork/ranking/tests/test_pagerank.py b/sknetwork/ranking/tests/test_pagerank.py index 0a6194e47..ce6126e03 100644 --- a/sknetwork/ranking/tests/test_pagerank.py +++ b/sknetwork/ranking/tests/test_pagerank.py @@ -20,19 +20,26 @@ def setUp(self): self.parallel_ranking = PageRank(parallel=True) def test_pagerank(self): - score = self.spectral_ranking.fit(self.adjacency).score_ + self.spectral_ranking.fit(self.adjacency) + score = self.spectral_ranking.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) - score = self.no_damping_spectral_ranking.fit(self.adjacency).score_ + self.no_damping_spectral_ranking.fit(self.adjacency) + score = self.no_damping_spectral_ranking.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) - score = self.spectral_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])).score_ + self.spectral_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])) + score = self.spectral_ranking.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) - score = self.diter_ranking.fit(self.adjacency).score_ + self.diter_ranking.fit(self.adjacency) + score = self.diter_ranking.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=2) - score = self.no_damping_diter_ranking.fit(self.adjacency).score_ + self.no_damping_diter_ranking.fit(self.adjacency) + score = self.no_damping_diter_ranking.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=2) - score = self.diter_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])).score_ + self.diter_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])) + score = self.diter_ranking.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=1) def test_parallelize(self): - score = self.parallel_ranking.fit(self.adjacency).score_ + self.parallel_ranking.fit(self.adjacency) + score = self.parallel_ranking.score_ self.assertIsNotNone(score) From 5ea1afe4bfbae5591130868350f60200f19d91a2 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Tue, 16 Jul 2019 20:29:08 +0200 Subject: [PATCH 75/92] Return object with fit --- docs/tutorials/clustering_Louvain.ipynb | 114 ++++++++---- docs/tutorials/hierarchical_clustering.ipynb | 15 +- docs/tutorials/pagerank.ipynb | 180 ++++++++++++++----- sknetwork/clustering/bilouvain.py | 8 +- sknetwork/clustering/louvain.py | 11 +- sknetwork/hierarchy/paris.py | 12 +- sknetwork/hierarchy/tests/test_paris.py | 6 +- sknetwork/ranking/pagerank.py | 11 +- 8 files changed, 259 insertions(+), 98 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index 96745298b..511600528 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -95,7 +95,18 @@ }, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "louvain = skn.clustering.Louvain(engine = 'python')\n", "louvain.fit(adjacency)" @@ -194,7 +205,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOydd1RUV9fGn2EaAwwgVUAQewMFO4KK2ABLVFQSewuoscZYY2LsLRZix66xB2P8BGMssXclYAOxoyAI0hlgZu7+/piXSQggMDMU4/mtdZdy59xz95lynrtP2ZtHRAQGg8FgMD4R9CrbAAaDwWAwKhImfAwGg8H4pGDCx2AwGIxPCiZ8DAaDwfikYMLHYDAYjE8KJnwMBoPB+KRgwsdgMBiMTwomfAwGg8H4pGDCx2AwGIxPCiZ8DAaDwfikYMLHYDAYjE8KJnwMBoPB+KRgwsdgMBiMTwomfAwGg8H4pBBUtgEMBuPTgIhw7fU17I7YjVdpryBXymFuYA6fuj7wb+IPiVBS2SYyPhF4LB8fg8EoTxScAjvCd2D5leVIyExAtjwbhL+7HSOREUDACNcRmOk+EzWMa1SitYxPASZ8DAaj3MjMy0Sv/b1wM+4msuXZHywr1BPCUGSI00NPo6VtywqykPEpwoSPwWCUC3nKPHTc1RHh8eHIVeaW+jojkRGujroKZ2vncrSO8SnDFrcwGIxyYcbpGYh8G1km0QNUXmKXvV0gV8rLyTLGpw4TPgaDoXOy8rKw9e5WZCs+PLxZHDK5DMeijunYKgZDBRM+BoOhc/bf2w8eeBpfn5GXgeVXluvQIgbjb5jwMRgMnbPm+hpkybO0quPhu4eISY7RkUUMxt8w4WMwGDonNi1W6zpEfBGepTzTgTUMRkGY8DEYDJ2To8zRug4CISMvQwfWMBgFYcLHYDB0jr5AX+s6eODBWGysA2sYjIIw4WMwGDqnTrU6WteRq8xFffP6OrCGwSgIEz4Gg6Fzvmn3jSoUmRa0sGkBR1NH3RjEYPwDJnwMBkPn9G/cX6vtDFKRFDPdZ+rQIgbjb5jwMRgMnaMv0MfUtlNhIDQo87V6PD2YSczgW8+3HCxjMFisTgaDUU4oOSV6HeiF8y/OQ6aQleoaHngw0TfBnYA7qF2tdjlbyPhUYR4fg8EoF/h6fBz7/Bh86/nCUGhY8gUKwFRoiuujrzPRY5QrTPgYDEa5IeKLcGTAEeztuxdt7NpAX6APgV7B/NdiiCFWijHEYQhM95nCwdChkqxlfCqwoU4Gg1FhRCdF4+D9g3id/hoyhQzWRtZoKm2KyT0mI+51HEaMGIE6depg6dKllW0q4z8MEz4Gg1HpdOvWDaNHj0bHjh3RtGlTnD59Gs2aNatss6oEr9NfY+Otjdh/bz9SclJARDAWG6Nn/Z6Y0nYKGlo0rGwTPzqY8DEYjEpn7969OHToEE6cOIFt27YhODgY165dA5/Pr2zTKo1nKc8wLnQcLry4AACF8hoK9AQQ6gnhZOWEDb4b0MquVWWY+VHChI/BYFQ6mZmZqFGjBmJiYmBhYYFOnTqhb9++mDx5cmWbVincjruNLnu6ICMvAxxxJZY3EBrgoN9B9GrQqwKs+/hhwsdgMKoEQ4YMQZs2bTBx4kQ8fvwY7dq1w507d1CzZs3KNq1CiUmOQcutLZGem16m6yQCCU4NOYX2NduXk2X/HdiqTgaDUSUYMmQIfv75ZwBA/fr1MXXqVIwfPx6f2rP5wCMDkZmXWebrZAoZ+hzqA7lSXg5W/bdgwsdgMKoEXbp0wcuXLxEdHQ0AmD59Ol69eoVDhw5VsmUVR8TbCDx+/7hUw5tFIVfK8Vv0bzq26r8HEz4Gg1ElEAgE+OKLL7Bv3z4AgEgkwtatWzF16lS8f/++kq2rGNZcX4NcRW7JBYshIy8Dyy8v16FF/03YHB+Dwagy3L17F/3798fTp0/B46mCXE+cOBFZWVnYsWNHJVtXvhARDBYbaJ3EV5+vj2eTn8FGaqMjy/57MI+PwWBUGVxdXaGvr4+rV6+qzy1ZsgRnzpzBuXPnKtGy8kemkEFBCq3rEQlESMhK0IFF/12Y8DEYjCoDj8fD0KFDsXfvXvU5qVSKDRs2IDAwEDJZ6YJdf4zkKnKhx9O+S+aBp9Vw6acAEz4Gg1GlGDRoEI4cOYLc3L877169esHV1RULFiyoRMvKF2OxsU5WZCpJCVN9Ux1Y9N+FCR+DwahS1KxZE87OzggLCytw/qeffsL27dsRERFRSZaVL3w9PhpZNNK6Hj2eHmpVq6UDi/67MOFjMBhVjn/u6cunevXqWLJkCb788ksolcpKsqx8mekxE0YiI42vF/FFGNtiLER8kQ6t+u/BVnUyGIwqR2pqKmrWrIkXL16gWrVq6vNEhE6dOqFPnz4I/CoQB+8fRNCNIMSmxyJHkQNDoSGcrJzwTbtv0L1Od/D1Pq5YnzmKHFiutNRoAzsA6Av08XjCY9ib2OvYsv8WTPgYDEaVZMCAAejatSsCAgIKnL//6D5azWoFvdZ60NPTK1IkjERGMBAaYF7HeRjXcpx6a8THwKqrq/Ddn9+VOmt9PgZCA/g38ceOz3S37SNfHj6m9680sKFOBoNRJfn36k4ASM9Nx6jLo6BorkC2IrtYzygzLxOJWYmYfno6xvzfGI0joVQG/g7+ED4SQghhqa+RCCRobdcaW3pu0ereRIQLLy6g14FekC6VQrBQAOFCIcyXm2PciXGITorWqv6qAvP4GAxGlSQvLw92dna4efMmatWqBblSDs9dnrgTf6dQip4PYSA0QGCLQKzuvrocrdUNr1+/RqdOnTB69Ghktc7CsovLwIEDxytauPk8PsQCMXrV74U9ffdoNbd3MuYkxoWOQ1J2ErLl2SAUlAaBngACPQGaWTfDrj67Puo8gMzjYzAYVRKRSISBAweqQ5j9dOMn/PX2rzKJHgBky7Ox5c4WXHl1pTzM1BmxsbHw9PREQEAAZs2ahcD6gTDcY4gRTUbASGQEY7ExpCKp+v/6An184fwFLo+8jIP9D2oleptvb4bfYT+8THuJLHlWIdEDAAWnQI4iBzff3ETrra1xNfZqETV9HDCPj8FgVFmuXbuGkSNH4sHDB6ixpgbeZr7VqB4eeOjdoDeOfX5MxxbqhlevXqFTp04YP348pk2bBgAYOXIkbGxssGTJEsjkMlx6dQlJ2UngiEM1/Wpwd3DXyX69Xx7+gmG/DivznKJUJMWNMTfQyFL7LRgVDRM+BoNRZSEi1KtXD5PXTca3f32LjLwMjevS5+vjxZQXsDay1qGF2vPy5Ut4eXnhq6++wtdffw0AiIiIQPfu3REdHQ0TE5Nyu3dmXiasf7RGtjy7zNfywIOrjSvuBNwpB8vKFzbUyWAwqiw8Hg9DhgxB0KUgrUQvv66QRyE6skw3vHjxAp06dcLEiRPVogcAM2bMwNy5c8tV9ABgX+Q+8KDZik0C4dG7R7ifeF/HVpU/TPgYDEaVZsiQIXiZ+lLremQKGeIz4nVgkW7IF70pU6ZgypQp6vOnTp3C8+fPERgYWK73JyIsv7IcWfIsjevIU+ZhzbU1OrSqYmDCx2AwqjR169aFSKKbSCTZirIP6ZUHz58/h6enJ6ZNm4ZJkyapzyuVSkyfPh3Lly+HUFj67QyaEPM+RussDkpS4vDDwzqyqOJgwsdgMKo8NcxraF0Hn8eHhcRCB9Zox7Nnz+Dp6Ynp06djwoQJBV7bs2cPjI2N0adPn3K3IzErEUI97cU1Ky/ro9onCTDhYzAYHwEDWwwEtExcIBFK0M6+nW4M0pCnT5+iU6dOmDlzJr766qsCr2VnZ+O7777Djz/+WCGRUnSRCQJQzZ0qOO3zCFYkTPgYDEaVZ3L7ydDja9ddmUnM0KFmBx1ZVHaePHmCTp06Yfbs2Rg/fnyh11evXg13d3e0bdu2QuypJqmmE0+Nz+N/dEGxBZVtAIPBYJSEhYEFWpm0wo20Gxo9rhsIDTC93fRKizkZExODzp07Y+7cuYVijwJAQkIC1q5di5s3b1aYTbpIgQQAbWtUjFDrEubxMRiMj4JNAzcBGoyo6fH0YKZvhuHNhuveqFLw+PFjeHl54bvvvitS9ABg/vz5GDp0KGrXrl1hdqUkpaBRdiON3tN8pCIpZrrP1J1RFQQTPgaD8VHgWsMV3mneZQreDA4wEZvg/IjzkIql5WdcMURHR8PLyws//PADvvzyyyLLREVF4ciRI5g7d26F2PT48WMEBASgcePGqJNcR6vUTfoCfXjX9dahdRUDEz4Gg/HRMGvALNhfsIex2BiGQsMPltXX0wfSge+tv0cdszoVZOHfREVFoXPnzliwYAFGjx5dbLmZM2di5syZMDc3L1d7bty4AT8/P3h4eMDW1hbbtm3D9d+vo3ZmbUgEkjLXZyA0wFrvtR9dzkOACR+DwfiIaN++PRRPFfi96+/4sduPcDR1VAdtNhIaATkqL6SNXRvs778f3o+9MWf8HLx69apC7Xz06BE6d+6MRYsWYdSoUcWWu3DhAiIjIwtta9AVRISwsDB4enrC398fnp6eiIyMREJCAiZPnox169bh4cqH6FCzAwyEBqWu10BogDkeczDIeVC52F3esFidDAbjo2LOnDlQKBRYsWIFiAh34u/gZaoqq8CcaXOwZeEW9HDrAUCVyd3R0RH29vYIDw+HQFD+6/kePnyIrl27YunSpRg2bFix5TiOQ5s2bfD111/jiy++0KkNcrkcBw4cwMqVK8Hn8zFjxgwMHDgQ586dQ0BAADp37oxVq1bB1FQV5FrBKTD2xFjsu7cPSk4JOVf0VgeJQAIC4Sfvn/Bli6KHbj8KiMFgMD4iHjx4QLa2tqRQKAq91qNHDzp27FiBc2FhYaSvr08zZsyoENtsbGxoz549JZbdv38/tWzZkpRKpc7un5GRQatXryZ7e3vy8vKiU6dOEcdxlJqaSqNHjyYHBwf6/fffi70+JjmGJoZNJKPFRmS81JhMlpqQyVITMlpiRNVXVqcVl1dQUlaSzuytLJjwMRiMj47mzZvTmTNnCp2fNGkSrVq1qtD5IUOGkEQiofPnz5ebTffu3SMbGxvau3dviWVlMhk5OjrqzJ63b9/St99+SxYWFjRw4EC6deuW+rXQ0FCqUaMGBQYGUlpaWqnqy87LpquvrlLo41A69eQU3Y27S0pOdwJd2TDhYzAYHx1r1qyh4cOHFzofFBRE48ePL3Q+PT2drKysyMLCgpKSdO+xREZGUvXq1Wnfvn2lKr9y5Urq3bu31veNiYmhsWPHUrVq1WjcuHEUExOjfu39+/c0fPhwqlWrVpEPCZ8ybHELg8H46Pj888/x22+/ITu7YNDpOnXq4MmTJ4XKS6VSHDx4EDk5ORg6dChIh0sbIiMj0a1bN6xZswaDBpW82OP9+/dYvnw5li9frvE9b926hQEDBsDNzQ2WlpaIiorCxo0bUbduXQDA8ePH4eTkBKlUisjISHTu3Fnje2mCklPi/6L/D4NCBqHT7k7w3OWJgUcG4uD9g8hT5lWoLUXBFrcwGJ8wSiVw9Srw9i2QmwuYmgKtWgHWVStXa5H4+Phg2LBhBRaGREVFoWfPnkWKHwCMHz8ehw4dwvz583WykjI/YWxQUBD8/f1Ldc3XX38NmUyGTZs2leleRIRTp05hxYoVePr0Kb7++muMHj0aRkZG6jLJycmYNGkSbty4ge3bt6Njx45luoe2ZOZlYu31tQi6HoQcZQ4y8zILvC4VScHj8TC2xVjMcJ8Bc4Py3cJRHEz4GEWjVAJ//QW8ewcoFICZGeDiAhiUfskzo+qSmAgEBwNBQSrB4/EAjgP09FR/d+sGTJ8OeHioXquK7Nu3D/v370doaKj6XG5uLqRSE9y8mYmUFAGUSqBaNcDZGRCJgKysLDRu3Bipqam4ePEimjVrpvH9//rrL3h7e2PdunUYMGBAqa55+vQp2rRpgwcPHsC6lE8Xcrkchw8fVq9inTFjBvz9/QulLTp69CgmTJgAf39/LF68GAYV/FuNz4hHp92d8DLtJXIUOR8sK+KLYCGxwPkR51HPvF4FWfg3TPgYBUlKArZtA9asAbKzAT4fyP+KKJXAiBHApElA/fqVaiZDc3bvBsaNU32sOcX0TzweYGioetYJDQWMjSvWxtKQlZWFGjVqICoqCtbW1khJAXbuBKZPfwt9fSsIhaqZnPyv79ixwFdfAbGxV9CjRw9YWVkhPDwchoYf3ghfFOHh4fDx8cH69evRv3//Ul/n7+8PZ2fnUkVpycrKwvbt27F69WrUqlULM2bMgLe3d6F4o+/evcOECRPw119/YceOHXB3dy9ze7QlRZYC1y2ueJPxptSZGnjgwUxihr/G/oUaxtqnnSoLTPgYf7NlCzBliqrXk8mKLiMUqsTwiy9ULkMF7Iti6I61a4Fvv1U905QGsRhwdARu3qya4jds2DC0bNkSBgaTMGmS6qtbXNtEIpVH++WXgFA4HSEhR9ClSxds27atTPe8e/cufHx8sHHjRvj5+ZX6uvzIKY8fP/6gN/bu3TusW7cOmzZtQseOHTFjxgy0bt26UDkiwuHDhzF58mQMGzYM8+fPh0RS9ggsusDnZx+ce3GuzPN3fB4fjS0bI2JsRIUGEGfCx1CxaBGwdGnpe0QDA9U4WGgoE7+PhNBQYMCA4p9pikMsVs37XbxY9YY9T58+jREjYpCaOr5MX93OnRV49KgJMjPTsXbt2lLPz925cwe+vr7YvHkz+vbtW2o7iQgdOnTAqFGjMHLkyCLLPHv2DKtWrcKBAwcwcOBATJs2DfXqFT0M+PbtW4wfPx5RUVHYuXMn2rRpU2pbdM2L1BdotKFRicObxWEoNMS54efQ2q6wuJcXbFUnA9i/H1iypPSiB6jKXr6sGjNjVHmIgMmTyy56gGrOLzxc9XFXNRISOiMubmSZv7pnzwrQosV55Obm4quvvsLz589LvO727dvw9fVFcHBwmUQPAI4dO4a0tLQiI7ncuXMHn3/+OVq3bg1TU1M8fPgQmzdvLlL0iAj79u1Ds2bN0LBhQ9y9e7dSRQ8A1t9cr1VeP5lChh+v/qhDi0qGeXyfOkolUL26am5PE/T1gUePVONhjCrL9etAly5AVpZm1/N4QM+ewPHjurVLG5RK1erT5GTNrtfXB8aMWYrz5/fD0NAQly5dKrRgJJ9bt26hZ8+e2Lp1K3r37l2m+8jlcjRp0gTr1q1D9+7dAagE7MyZM1i+fDmio6MxdepUfPnll5BKi88gERcXh7Fjx+L58+fYtWsXWrRoUSY7ygMigskyE2TkZWhVjz5fH4nTEyssgwbz+D51Tp4sfoVDaeA4YP163dnDKBd+/LFsDv2/IQL++EO17aGqEBqq8kY1hQgwMpoOAJDJZJg3b16R5W7cuIEePXpg27ZtZRY9AAgODkatWrXQvXt3KBQKHDhwAM2bN8fUqVMxbNgw9daE4kSPiLBr1y64uLjA1dUVd+7cqRKiB6i2L8gUGgwj/AsBX4C4jDgdWFQ6mMf3qdO+vfZjWFKpatuDWKwbmxg6x9patYVBG0xMgJ9/Vnl+VQF3d9UeRG0wNQVOnQqHr29XCIVC/PzzzwU2e1+/fh29e/fGjh070FODhqelpaFBgwb47bffcOvWLaxatQoODg6YMWMGfHx8oKf3Yd8jNjYWgYGBiI+Px86dO+Hi4lJmG8qTt5lvUSuolsbze/kYi41xbtg5tLCtGEFnHt+nzs2b2tfB4wEPH2pfD6PcyMwsuUxJKJVAaqr29egCIuDGDe3rUSoBQ0NXTJw4Efb29hg2bBgS//eEcO3aNfTu3Ru7du3SSPQAYN68ebCxsUGvXr1w7tw5HDhwABcuXECPHj0+KHpEhK1bt6J58+Zwc3PDzZs3q5ToJSUl4fz589i3cx9y5Vq43f+DIw7G4opbNsyW433K5OWpNqdrC48HpKRoXw+j3Chm6qpM6OlVHac+O1s3K0z19FRf3Tlz5uC3335Ds2bNMGLECMyZMwf9+vXD7t274ePjU+Z6X7x4gfnz52P37t34/PPPcfDgQTRo0KBU1758+RJffvkl3r9/j3PnzsHZ2bnM99cVGRkZePDgAe7fv68+IiIikJWVBalUipzcHFAgAVrulVdyStgZ2+nG6FLAhO9T5p+b07VFJNJNPYxywcICSEvTro68vDxIJDIAJjqxSRsEAtX0sq7qEgqF2L17Nzp16gRzc3N4e3vjl19+gbe3d5nqCg8Px8qVK3Hq1CnY2Nhg4sSJCAoKKtW1HMdhy5Yt+P777zFt2jR88803FZI/EFBFvImKiiogcPfv30diYiIcHBxgaGiInJwcxMbGQiqVolu3bvDw8ICHhweOJh/FsivLNB7u5PP4GOQ8qEyJcLWFCd+nDJ8PGBkBGdqtyIJcDlhZ6cYmRrkQEAD88INm2xny4bgcDBrkiCZNGsLX1xe+vr5wdXUtcZ6qPBCLVYc27QFUgx6Wlqr/Ozs7w8/PDzt27IChoSEs818oASLCuXPnsGLFCjx48ABTpkzB+PHjMWDAACxcuLBUdTx79gyjR4+GTCbDxYsX0ahRI02b9EEUCgWePn1aSOBevHiBOnXqoH79+jA0NIRYLIaFhQUSExMhkUjg5uYGDw8PuLu7o0aNglFWLDMtsfTyUo1tEvFFmNp2qrZNKxNsccunzpgxwK5dqskOTalTB4iJqXq7mxlqkpOBGjU0X8ArkQBz5gDTp+fi0qVLCAsLw8mTJ5GSkgJvb2/4+vqia9euqFatmm4NLwYiQrdu73D2rDmI+BrXU68eEB2t+upevHgR/fr1g4WFBdzd3XHp0iXcuXOn2NWWCoUCR48exYoVK5CdnY3p06dj8ODBEAqF6Nq1K/z8/DCuhH2uHMdh/fr1WLBgAWbPno0pU6aAz9e8PfkQEWJjYwsJXFRUFGxsbODk5IQmTZrA2toa2dnZePbsGa5du4aXL1+idevWapFr27YtjEsRsmfI0SE4+uhomVd4ivliuNVww58j/tS0qRrBhO9T58EDVVgOTR+dDQ2B1atVLgWjSuPvD/z6q8pBLysSCfDiRWHH/tmzZzh58iROnjypDvqc7w02bdpU52GokpOTsXfvXgQHB0Mma4Q3bw5CLtdsApPPz8aMGfFYsqQOLly4gAEDBuDAgQOws7ODh4cHvLy8IJFIsHv37gLXyWQy7Ny5E6tWrYKNjQ1mzJiBnj17qj3fkydPYurUqbh3716x+wIBICYmBqNGjQIRYceOHaivYfzbxMTEQgL34MEDGBoawtnZGU5OTnByckLDhg2hUCgQHh6Oy5cv48qVK+A4Ti1yHh4eaNas2QdtLo4cRQ7ctrvh0btHyFWWbrGLUE8IW6ktwgPDUU1SMQ9M+TDhYwAtWwJ372o232dgoFonr0GgX0bFkpQENG3KIT6eAJTeqzAwADZsUMUn/xAymQwXLlxAWFgYwsLCIJPJ4OPjA19fX3Tp0qVUnkNREBEuXbqE4OBgnDhxAj179kRAQADat28PJyeexguKxWI5LCyc4OhoiQcPHiAkJAReXl4AgNWrVyMkJATv37/Ht99+iyFDhiA5ORkbN27E+vXr0bZtW8yYMaNQQGilUgkXFxcsWrQIn332WZH3VSqVCAoKwpIlS/Ddd99hwoQJpfLy0tPTCy00uX//PvLy8goIXL43JxaLcf36dbXI3bhxA/b29mqR8/DwQK1atXT2cJKRm4Ee+3vgbvxdZMk/HCnBQGiA2tVq4+yws7AyrPhpEiZ8DNVYT6tWZZ7rI4kEvL17gTIE6mVUHjk5OfDyGo2IiPWQy00hl5fc4YnFSixdysdUDaZgYmJi1CJ49epVtGzZUu0NNm7cuMQONzk5GXv27EFwcDAAIDAwEEOHDoW5+d853CIjgXbt/hmRhoBafwLtfgTsbgKiTEApBLIsgTuBwN0xgMwcPJ4MW7bkwN5eFThaJBKhT58+mD9/PhwcHKBUKuHp6Yk2bdpg586d6NWrF44fP46+fftixIQRiKZoJGYlQsEpUE2/GjwdPeFs7Yzt27djz549OH/+fJHti4qKwqhRoyASibB9+3bUqVOnUJmcnBw8evSokMAlJyejcePGBQTOyckJNjY24PF4iIuLU4vc5cuXER0dDVdXV7XQubm5FXjvygMFp8Ch+4ew4soKPEl5glxFLpSkmkbhgQcDoQGqG1XHDPcZGNp0KCTCygmqzYSPoeL6daB7d5X4leIrkaOnh+Oenhh49mwFGFdJpKQAv/wCvHqlel8sLABXV8DbW7Uw6CNCLpdjwIAB0NfXR1DQPkycyMfx46rl/P8e5ebxVF6eVJoJPb1pePJkrdZR/7OysvDnn3+qhZDjOLUIenl5qZOpEhEuXryI4OBghIaGolevXggICICHh0exQnn+vGpTfZbjQaDbdEA/VSV4/y6eJwH0OPBjPkPnnH64f0uVEPbo0aNwdXXFypUrsWnTJgwfPhxz5szB9evX0b9/f/B4PJiamiLo1yDsf7Efvz/5HQI9AWQKGYgIYoEYPPBQt1pdxB6MRejKULRr067ArRUKBVatWoUff/wR8+fPx9ixY8FxHJ48eVJI4F6+fIm6desWErhatWqph1M5jsPDhw/VInflyhWkpaWpRc7d3R0tWrSAvr6+Vp+bNkS8jcCxqGOIz4wHRxyqG1WHT10ftK3RtkIzMRQFEz7G30RHA6NGqYY9lcrCk0H5SdosLJCxYgXazJuHsWPHYtKkSZVjb3kRHq6K8XX0qEoZ8mN96emp2i8Wq9I3BQaqxLCKw3Echg8fjvfv3+PXX3+F6H9bT5KTge3bVdmlkpJUH7eRkSrpxvTpQJs2wBdffA4HBwesWLFCZ/YQEaKiotQiePPmTbRo0QImJia4d+8exGIxxo4di6FDh8LMzKxUdY49+AOCH6wECUqOyybgiVBNaIKsdVkwVBji7Nmz6r1y8fHxGDduHMLCwiAWi9GxY0fEv41HUtskxFnEQclTglB8lylQCtDIphHODjsLS0PVqtB79+5hyJAh4PF46N69O968eYP79+/j8ePHsLOzKyRw9erVU39G+eTk5ODWrVu4fPkyLl++jBk7uY8AACAASURBVGvXrsHMzEw9ZOnu7o4GDRpUygrbjxEmfIzCxMSoUnMfPAikp4NTKCAXCiH29lb1iO7uAI+HFy9ewN3dHRs3bix2PuOjgghYuVK17j8398MbxfT1VSs+Tp8GqkjcxKIgIkycOBH37t3DyZMny5yV+927d3B2dsbx48eLzAmnrW0XL17E+vXrERYWBltbW6Snp8PQ0FDtDXp6epZoc9D1IMw5NwfZ8jIEI+UAa4k1FtZYiLnT5iIkJARv377FihUrkJ6ejuHDhyMiIgLnL5xHlk8Wch1yIeeVblWQgCeAFFL4xvri4qmLeP36NUxMTNC6desCc3GNGzcutm1JSUm4cuWK2qOLiIhAkyZN1CLn7u6O6tWrl769jAIw4WOUyLp16xAdHY31RQSjvn37Nnx8fBAWFoZWrVpVgnU6ZP58YMWKskVzNjJSJapzdS0/u7Tg22+/xalTp3Du3DmNF5ccPHgQixYtwp07dyDWQeiWpKQk7N69G8HBwRAIBAgICFB7d0SE+/fvq73B8PBwuLu7q4Xw33NiL1NfouGGhhptnhbpiTCw8UCYnjfFxo0bUb9+fSxduhS9e/dWe04TDk3ApgebwPHLtltej9ODIEmAZrebYfu27R+MvkJEePLkSYH5ufj4eLi5uamHLlu3bq1RpnhG0TDhY5RISEgI9u3bh6NHjxb5+vHjxzF27FhcuXIFtWrVqmDrdMSJE6r1/pqkMDAzA549U0VxrkKsWLECu3btwsWLF2GhxZAsEaFv375o2rQpFixYoHEd58+fR3BwME6ePInPPvsMAQEBaNeu3Qfne1JTU3HmzBn1vkFjY2P1StEOHTrgu4vf4aebP5U587caBdA9sjt6d++N+fPnY926dRg4cCAA1RJ9yxWWyJRrFuhUzBPj/MjzaGvftsB5uVyu3lKQL3YikUg9bOnh4QEnJyed7OdjFA0TPkaJXL16FdOmTcO1a9eKLbN+/Xps2LABV69erbBNzDqlWTPVEkFNMDBQZa+vQnOdwcHBWLp0KS5fvgw7O+1jIMbFxcHFxQV//PFHmYIlv3v3Tu3diUQiBAYGYsiQIRp9RziOQ0REhNobjHwYiZyJOVDwNY83K+FLsKLbCgS6BuLEiRMYPXo02rVrB5FIhKuZV5HQMgHQ0MnV4+mhX6N+2NZtG65du6YWudu3b6NOnToFFqI4ODho3AZG2WHCxyiRFy9eoGPHjnj58uUHy3399dcIDw/H77//rpMhsQojIkK1Jl6bhHU1aqhWf1aB6DUHDx7EtGnTcOHCBdStW1dn9e7atQs//fQTbty48cFNzvne3ZYtW/D777+jT58+CAgIgJubm05X8x0JP4LhJ4ZDxmkXt0ycJgZvEw/29vZwdHTE7du30b17d9xtcxeP0x5rVTdPyYPBJgO0cmqlFjk3NzeYVLHRgYpArpTjePRxHLh/AAmZCeCIg6WhJQY0HoD+jftDLKi4PoMJH6NEcnJyYGJigpycnA92XEqlEgMGDIChoSH27NlT6UuWS82oUcCePdqFbTMyUg2XduyoO7s0IDQ0FKNGjcKZM2d0HtWfiODj44MOHTpgzpw5hV5PTEzE7t27sXXrVojFYgQEBJTKu+M4DgqFAkqlUn2U5u9fn/+KZZHLIFNqJ3wmAhPc6H8DUqkUQqEQSUlJ6N+/P6IHREPJ0+I7AcBIYISwQWFoX6u9VvV8zKTnpmPllZXYcGsDFJyiULZ2qUgVEu7L5l9ilscs9WrY8oQJH6NUmJubIzo6usS5ouzsbHh5eaFbt24azwdVOE2bAvfuaVUF6euDW74c8oCAMnXemv5d1GvR0dHYvn07Ro0aBTs7u3K5d1ZWFm7fvq2ODKJUKpGamop3794hIyMDRkZGMDY2hkAgKHX9ACAQCMDn88Hn8wv8/0N/p9ZJRVzTOJBAyy5MBhisMwCPxwMRgeM4KDkl5LPlhfcClhGpUIpdPXehr3Pfj+dBUIfEpsWi466OiMuIKzGUmYgvgpnEDBdGXEB9c83Ct5UWJnyMUuHk5IQDBw6UyotITEyEm5sb5s6di5EjR1aAdVpSq5YqEKUWKADM4/Hwo1BYps5bV3+npKQgNDQUPj4+cHR01Gn9/34tNDQUoaGh8PLywokTJyAWi9G/f3/07t0b1apVK/O9NN17duTBEYw+PrqQB1FWLIWWWGK1BO/fv8f79++RnJyM2NhYnGpzSutU3bxcHsRHxcBLwNLSElZWViUelpaWH9dUQTEkZSfBZbML3ma+VUdvKQkeeDCTmCE8MBz2JvblZhtLS8QoFba2toiLiyuV8FlZWSEsLAwdO3aEvb09unTpUgEWakEZ97YVBV8sxuIVK7C4Eha4PHz4EF5eXjh48GC57qfkOA5//vknXr9+jadPn8LY2BhHjhxBmzZtKtybycrKwvvI98jKydJKnHgcDzY5NkhOTsbjx48RGRmJhw8fwtraGuIWYuSKtMsuTnqE3He5MDM0g0AgQG5uLt69e4fU1FTExMSAiCCXy5Gbm4usrCykp6cjNTUVEokE1tbWsLa2LlEozczMquTG9c9/+Rzvst6VWvQAgEBIzUlFj/09EDE2oty+V0z4GKXCxsYG8fHxpS7foEEDHD58GP379y8QGaNKUrcuNI50/D94IhFQs6aODCo9z58/R/fu3fHjjz+Wm+glJiZi586d2Lp1KwwMDBAYGIjZs2eja9euMDc3rzDRS09Px4kTJxASEoIzZ86gdevWqNepHqLl0RrXSUrC0/1P8f2b7+Hs7Iz+/fsjNDQUVlZWCNgXgG3R20B8zQfFjHKMYGFsgenTp8PT0xOpqalqz/JDR3JyMp4/f463b9/CyMgIYrEYAoEAenp64DgOcrkcOTk5yMrKgkwmg4mJCSwsLFC9enXY2tqievXqxQqloaFhuX9mT94/wZXYK8jjyr7NRElKPEt5hltxt9DaTrdBE/JhQ52MUjF79mxIpdIiFzV8iP3792P27Nm4du0abG1ty8k6LTlzBlyfPtDL+nBE+Q9iYqLKUlGBmejj4+PRvn17fP311xg/frxO6+Y4DufOnUNwcDBOnz6Nfv36ISAgAK1bt1Z3mkFBQQgJCcH58+fLzeN4//49jh8/jl9++QUXL15Ehw4d4Ofnh969e8PU1BSTgiZhY/JGQMO33YqzgmK9At27d0fjxo3x559/4vr16wCAbL1s8KbyNBY+EYkg/F2I1gatkZycDCLCkiVL0KNHj1IJj1KpRFpamloIPySSiYmJSEpKQmpqKjIyMiASidRiyePx1GIp+19gVhMTE1SrVg2WlpZqsXRwcICtrW2hYVdN0hRNOjkJm29vhpzTIAcWVFtB+jfqj0MDDml0fUkw4WOoiI0FQkNVQRuVSsDcHOjaFWjQAADw008/ISYmBuvWrStz1UuWLFF3XPnBiKsKz549w7IlSzB/xw7YaPpTyI/duWyZbo37AMnJyejYsSMGDx6M2bNn66zehIQEtXdnZGSEwMBADB48uMjl90qlEh06dMCgQYPw1Vdf6dSGY8eOISQkBDdu3EDnzp3h5+eHnj17qu24ceMGRo4ciVexr5A3LA9KCyU4vbJFV5EIJAgbHIamxk2xatUqrF69GgqFAhzHoVGjRhAIBIhsFAmqSxqNjZlLzBH1ZRT27tqLNWvWwNjYGBkZGXBwcMCyZcsKpTTSFRzHISMjo1jBTEhIQHx8PBISEpCcnKwWy+zsbOjp6YHP5xcQS6FQqF60ZGZmphZLOzs7ODg4oHbt2rC3t4eVlRVMTU0BHmC81LjE1EQlIeaLkTQjCUYi3fcZTPg+ZYiAM2dUYbouXVIFYc5P0Z0/ud6sGTBjBkLkcuw/fBghISEa3IYQEBCAuLg4/PbbbxAIKn+EPSYmBkuWLMHx48cxfvx4zDQ0hNHChZrt5TMwAKKiAPvym4z/JxkZGejSpQs8PT2xbNkyrYetOI7D2bNn1d6dn58fAgMD0apVqxLrjoqKgoeHB27fvg1HR0eNbXjz5g2OHj2KkJAQ/PXXX/D29kb//v3h4+MDsViMmJgYREZG4vr16wgJCcHr169BRLCzs0PH7h3xh+MfSOFSoETp5pMkAgk2+G5AZ/POmDRpEkJDQyESieDi4oKYmBjUrl0bT548Qf8h/XHY7DBSlCllmkvUUxqg1vkLMExrCSsr4PPPFRAIjmLt2qVISEhAbm4u3NzcsHTp0iozDUBEyMrKKiCWSUlJeP36NV6/fo34+HgkJiaqxTIzMxPZ2dnIzc0tUIdQKoR8irwsKR+LxEhkhPDAcNQ1091e1HyY8H2q5OYCgwYBp079M5lZ0RgZId3REf0kEpy5eVOj28nlcvTs2RO1a9fGxo0bK21pd3R0NBYvXoywsDBMnDgRkyZNUu0z4zg8dnKCfVQUJGX5SRgYALt3A/37l5/R/yAnJwe+vr6oV68eNm/erNX7+PbtW+zatQtbt26FVCpFYGAgBg0aVObN1cuXL8eZM2fwxx9/lMmeFy9eICQkBL/88guio6PRq1cveHl5wcLCAlFRUbh37x4iIyMRFRUFW1tbSKVSPH78GFKpFEZGRjh06BBa/C9A+JPXT9B4cWMIbAXI4XKKzaBgIFAtZJpZfyaOLT2Gv/76C7a2tpg7dy4CAgKQlpaGcePG4dy5cyAitG3bFmOnj8XUiKl4mfqy5DkrTg9QGAD7TgAv/97TmT/QMWoUoVOny9i0aRGuXbsGIkKPHj2wbNkyrR4cKhuZTIbk5GQkJCTgdvRtTIyZCDk0G+bMx1hsjIsjLqJZ9WY6svJvmPBpytOnwM6dqkwGGRmqocG2bYEhQ6pczMZCKBSq3HvXrhVOxlYMnEiEJ0Son5Kicbb19PR0tG/fHkOHDsU333yjUR2a8vDhQyxatAinT5/G5MmTMXHiRHUHT0SYP38+jh44gBu1a0Ny8WLpPD8DA2DzZmDo0HK2XoVcLoefnx8MDQ3x888/axTLkeM4nDlzBsHBwTh79iz8/PwQEBBQKu+uOBQKBdq2bYtx48Zh9OjRHywbHR2NkJAQHDlyBC9fvoSzszPMzMyQlpaG+/fvQ6lUomnTpnB2dkbTpk3RtGlT5ObmYtq0acjIyEBSUhJGjRqFBQsWqJf8ExH69euHuvXq4rMJn2HOiTm4/PYyjA2MwRGnGrYjDsYiY7Tl2uLKhit4F/sOLi4uWLNmDTp06AAAOHPmDEaNGoXevXtj+fLl4PP52LFjB5YvX446jeug+sDqCE0IBUccMvP+Fb9TLgFAwOMewLnFQHKDItsvEgFWVsCFC0B29n0sW7YMISEhICJ8/vnnWLFiBaysNM9IrlCoUkVW5pbBjNwMmK8w13h+Lx9DoSHujbuHWtXKIf4vMcrGyZNEHh5E+vpEQiGRasBQdRgYqM4PH0706FFlW1o8EyaobP2n7aU4sgDievbU6taxsbFUo0YNOnz4sI4a82EiIyNp4MCBZGVlRUuXLqX09PQCr3McR7NmzSInJyd6+/YtkVJJtG0bUe3aRIaGRDxewfdBLFZ9xj4+RDdvVkgbiIiUSiUNGjSIevToQXl5eWW+Pj4+npYsWUK1atUiFxcX2rRpE6WlpenMvsjISLKwsKDXr18XOK9QKCgsLIz8/f3JysqK9PX1ydTUlIRCITk7O9OQIUNo+fLldPLkSXrz5g1xHKe+Njk5mcaOHUtWVlbUvn17ql27Nl28eLHQvbdt20bNmjWjnJwcIiL69ttvacLMCfR7zO908N5B+vn2z9R/cn/Sl+iTQCCgPn360IsXL9TXZ2Vl0cSJE6lGjRp06tSpQvXn5ubStm3bqE6dOuTR0YNm759NnXd3JqcNTmS3xJEwujXBYzHB4F2pfkp6ekTW1kTx8ar64+LiaNKkSaSvr08ikYhGjx5d6HtaHNnZRLt2ETVpouqOeDwiPp+oenWi+fOJ3r4tVTU6heM4Ml9uTvgBWh0Giw1IJpeVi41M+EqLUkk0ZUrpBIPPV5U7fryyrS7M+/eqjruMopd/cPr6RI8fa2VCeHg4WVhY0JUrV/4+qVQS/fEH0YABRG3aEDVtSuTpSbRwoUa/3vDwcOrXrx9ZW1vTihUrKCMjo1AZjuNoypQp5OLiQu/evfv3i0RXrxINHUrk7k7k6krUqRPR3LlE/+rcyxuO42jcuHHUoUMHys7OLvV1SqWSfv/9d+rXrx+ZmprSmDFj6ObNmwXERZfMnDmT3NzcKCgoiPr27Uu2trbE4/GIz+eTo6MjDRkyhPbu3Uv37t37oHgrlUravn07WVtbU58+fcje3p4CAgKKFIMnT56QhYUF3bt3T33OxcWFLl68SA8ePKDu3bsTn88nIyMj+uabbwp9D27cuEH169enQYMG0fv37z/YPrlcTnv37qWGDRtSmzZt6P/+7wTVq8eRnh5X5p+SQKB6fv4nGRkZ9P3335OhoSEJhUIaM2ZMsZ+3Ukk0bx6RkZHqKOoeEonqp+7nR5Sa+sGm6Zwf/vyB9Bfqayx6ggUCGvt/Y8vNPiZ8peWrr8ruJUkkRGFhlW15QVat0sjbyz+UAoHKY9SSsLAwsra2pphHj4hWryaysSn6F6yvr/Kyevcmiogosd7bt2/TZ599RjY2NrR69WrKysoqspxSqaRx48ZRq1atSuzwyoVXr4hmziRq0ED1+G9jo3psX7aM6F8iPHv2bGrRokWpPbS4uDhavHgxOTo6kqurK23evFmn3l1eXh7du3eP9u3bRzNnziRfX1+ys7MjfX2VR6Wvr0+WlpY0aNAgOnPmTJmE9u7du+Tm5katWrWiwYMHk62tLYWGhhZZVi6Xk5ubG61Zs0Z9LjY2loyMjKhhw4akp6dH9vb2tG3bNlIoFIXa8N1335GVlRUdOnSoTO1XKBR0+PBhqlNnOOnpZWn6UyKJhCgqquh2rVy5kkxMTEggENCIESMKCLZcTtSnT+l/xmIxUa1aRHFxZWqmVsRnxJN4oVhj4dNfpE9R74p4c3QEE77ScOiQ5mJhaFjhHsIHsbPTWPQKtEmm/RDE9qAguq6vT0qJpOR78ngf9KJv3LhBPXr0IFtbWwoKCvqgZ6RQKGj06NHk7u6uU0EoFffvE3XpouqNxOKie0OxmKh/f6LYWFq2bBk1atSosEf6L5RKJZ08eZL69u1Lpqam9OWXX9KtW7e0MpXjOHr9+jWdPHmSli9fToMHD6amTZuSvr4+NWjQgPz8/GjkyJHk6+tL1tbW1LhxYxozZgyZmZlRXBl72ZSUFJowYQJZWVnR3LlzqVGjRjRgwABKSkoq9pqFCxdS586dSalUUnZ2Ni1dupQMDQ2Jx+NRq1at6MKFC0Ve9+DBA2revDn5+vqW2c5/0rMnRzxe2b29/EMg4GjcuOLr5ziOfvrpJ6pWrRoJBAIaNGgQJSQk0ogRZe+OBALVM1YRAx/lxpCQISRZJCmz6IkXiqnrnq7lahsTvtLQqJHmIiEWE337bWW3QEVOjmqCQVvhMzLSeriT8vKI3N0pj88v+2PymTPqaq5evUrdu3cne3t72rBhA8lKEGS5XE5DhgwhT0/PIoc/y5WzZ4ueNyzq4PNJZmhI3nZ2hebN/smbN29o0aJFVLNmTWrevDlt2bKl1PND/yQzM5OuX79OW7dupYkTJ5KnpyeZmZmRpaUlde7cmaZMmUI7duyg69ev0/HjxykgIICsrKzI1dWVFi1aRI/+Mac9e/Zs8vPzK9V9OY6j3bt3U/Xq1WnMmDE0c+ZMsrS0pP3793/QU7x58yZZWVnRzZs3aeTIkSQWi0koFKo9/aJQKpW0evVqsrCwoODgYK2GfNPSin5uKeuhpyejoKB1FJ8/4VfMe7Rx40aqVq0a6el5EZ8v07grmjVL4yaXGZlcRs23NC/TkKdooYjqBNWhtJzyfSBlwlcSt25pNTRIAJGpqaqjr2wSErSa38s/ciUSurx2LV25coXu379Pr1+/pszMzLJ1JLNnq0RMQ+G9EhpKXbp0oZo1a9KWLVvUCxs+RF5eHg0YMIC6du1a7BBouaHB90gJkMLYmOgfCzGI/l4w0qdPHzI1NaWAgAC6fft2qcxQKBT0+PFj+uWXX2jevHnUt29fqlu3LkkkEnJ1daXhw4fTjz/+SH/88YdqsQ8RyWQyOn78OA0fPpzMzMyoTZs2tGLFCnr69GmR95DJZNSwYUM6cuTIB22JjIwkDw8PatmyJR0+fJhatWpF3bp1+6DQE6lE2sHBgRo2bEh8Pp+kUinNmjWLEhISyNjYuEjv+MWLF+Tp6Unu7u705MmTUr1XHyIqqvi5tbIcfL6SBg78kkxMTMjLy4u2bNlSrHevUCiocePnBCg1vp+JScV2RRm5GeS505MMFxuWKHqGiw3JdbMrJWcnl7tdTPhKYtgw7b0kqZTo118ruyWqcQ6BQOtfazqPR91q1KC6deuSo6MjWVtbk4GBAQkEAjI3N6fatWtT8+bNqVOnTtS3b18aMWIETZkyhebNm0dr1qyhXVu2UJ6mogdQtp4eLTAzo23btlFubm6pmp6Tk0OfffYZ9ejRo0SvUOcoFKp5PE3aq6dH1KoVEam8u4ULF1LNmjWpRYsWFBwc/EHv7t27d3Tu3Dlau3YtjR49mlq1akWGhobk6OhIvXr1om+//ZYOHjxIDx8+JLlcXuDarKws+uWXX+iLL74gU1NTat++PQUFBdGrV69K1eSrV69S9erVi+zE09LSaMqUKWRpaUkbNmygNWvWkIWFBW3cuPGDD09yuZx2795NUqmUeDwe2dvb0/bt29W2nzp1itq1a1fgGo7jaOfOnWRhYUHLli0rNNenKXfvEhkbay98Eolq7i07O5tCQkJo4MCBZGxsTN7e3rRz505KSUlR3/PNG+2fW42MiCpoQbUauVJOB+8dpOabm5NkkYQECwRqsePP55PBYgNqvL4x7QrfRTnykh9gdUHlh9Co6ty/D3BlC4VUiJwc1X6/ysbQULWRSKHQqhoDPh9egwfD8vVrxMTE4MmTJxAIBGjQoAFq1qypjvdXrVo1SKVScBynjjr/4sUL6N+9C3leHsoeAVCFhOMwjQgXbGxw+/ZtmJqawsTEBKampjAwMCi0H00mk8HPzw/6+vo4evQoRBUYTxMAEBameXZ3joMyIgJTvLzwc3g4/P39ERISot64DQC5ubmIiopCZGQkIiMj1Ru/s7Ky1HviWrZsiVGjRsHJyQnGxsZF3io9PR2hoaEICQnB6dOn0bp1a/j5+WH16tWoXr16mcx2c3PDF198gSlTpuDnn38GABARDhw4gOnTp8PHxwenTp3CN998g+zsbFy9ehX16tUrsq73799j1apVWLduHbKysiAQCHD8+PFCMS9PnDiBHj16qP9OTExEQEAAnj9/jrNnz6Jp06ZlasOHMDHRLm9xPnK5qi6JRIJ+/fqhX79+yMzMxIkTJ3Do0CFMmjQJnTp1gr+/PxIT+4HH09fqfpmZwI4dwIAB2tteWgR6Avg7+cPfyR8PEh/gePRxdaqi6kbV4VPXBy1sW5RckQ5hG9hLokED4PFjrasJtrbGNgcHiEQi9SEUCjX+W9NrjWbNgnDXLvDkmm0u5QDo+fioOvN/8P79e7UI/vPfmJgYKJVK1KtXD3Xr1kW9evUwaf9+WD57ptX7KRMI8G3z5rimp4fU1FSkpaUhNTUVcrkcJiYmaiGUSqV4+PAhjIyM0KtXL5iZmalfK+pfExMT3YdU8/AArlzR+HIFgCceHrALC0NKSopa2PJF7unTp6hdu3aBjd/Ozs5wcHAocVN6fhDokJAQXLhwAe3bt1fn1jM3N9fYZkCVlLhp06ZYs2YNateujQkTJiA1NRUbNmzA06dPMW3aNEydOhXTp08v8j1/9OgR5s2bh2PHjoHH48Hb2xvXr1/HkSNH1JvO8yEi1K1bF0ePHkWzZs3w22+/YezYsRgxYgR++OEHnee3y81VxazQJq45AFhbA/HxxW84T0tLw2+//YZDhw7hzBl35OXNgrZJAl1cgPBwrar46GHCVxItWgB372pVBScQIH7CBLz+/HPk5eVBLpcjLy9PfXzo77KULU1dDjk5uCaTQaJhWzIB/NihA2Jq1Ci1IMvlcnXA3Hfv3mHzb7/BXEPhVSOVqqKmDBpU4HReXh7S0tKQlpaGN2/eYOLEiTAzM8PgwYORkZFRQCSL+jctLQ0SiaRIYSxOLP/9bwGv8907VQzPXO3yuuXyeLCWSiExMFBHNMkXuYYNG0Jfv/SeQGJiojoI9PXr14sMAq0rwsLC4O/vD5FIhPnz56N///4YP348YmJisHfvXri4uBQoz3EcTp06hblz5+LevXvQ19fHhAkTMG3aNIwePRoNGjTA8uXLC90nKioKXbt2xb179zB16lRcunQJu3fvLrdA0AAwcSKwZYvKa9MEiQSYNw+YObN05adNy8bq1RJomxa+SRPVQNanDBvqLIlmzYCICK3GNfQkEth16gS7Nm10aJgWdOgAunYNvDIOeXI8HhKJ0GjcONRTKosV2NzcXGRmZhb5OhFBrINnrayMDEwbNgx7xoyBQCAocORn9U5MTIRYLAYRYcOGDUWWE4vF6pQs+fnOAFUHrFQqwXEcFAoFkpKS8PbtW8jl8kJtzT9kMhlycnKgVCohkUhgaGgIVz4fR+RySLVsr1BPDzEREbDUMJ7jmzdv8OuvvyIkJATh4eHw9vbGmDFjEBISUi4ZM4gIR44cwbRp02BnZ4cWLVrAwcEBrq6uGDZsGA4cOFDAC8vKysKOHTuwZMkSpKSkwMrKCps2bcLQoUMhEomwbds2vHz5EocOFZ2mJjQ0FC4uLnBxcYG3tzf++uuvcs8EMnkysG2b5sJHBIwZU/RrHMfh+fPnuH//vvo4f745gEkAtPNezcy0uvw/AfP4SuLuXaB9e83naACgWjVVrrYqkJUAAPD2rUrQk5LKNn9pbIxWP9Be3gAAIABJREFURDj14gXMtPn12NkBcXGaXw8gg8fDWD09nLO0hL29Pezs7GBnZwcbGxtIpVKsW7cOLi4umDdvHogICoUCSqUSCoWiwFHac2Upm5eXh+zsbMhkMtSIi8PiW7dgpO2EkFgMvHmjGl8rJflBoENCQhAVFYWePXvCz88P3bp1g0Siqc9fMlFRUZg4cSISEhKwYcMG1K5dGw0aNICxsTEOHTqE9u3bq8vGxsZi5cqV2LZtGziOg4uLCxYvXgwvLy+11/zkyRO4ubnh/PnzaNKkSaH7yWQy1K9fH9nZ2di7dy98fX3LrW3/pndv4PTpv5OalBYDA1WI102bCK9fv8b9+/fx4MEDtcg9evQIFhYWcHJyQpMmTeDk5AShsBVGj24ImUxzj09PT4bBg2Owc2cTjWK9/meokCU0HztNmmi8jCqPz6e82bMruwWFefpUtZldJCq5HXw+UbVqRHfuUKNGjQqEh9IIHx+dLIdTRERQbGwsXb58mfbv309Lly6lESNGkLGxMZmbm5NUKiWpVEpNmjQhX19fGjt2LC1ZsoT27dtHly5dolevXhVazagLlEolPX78mI4cOUJrx42j7LLuVSzq4PFUITtKIDo6mpYsWUItWrQgS0tLGjNmDJ08ebLUq1+1ITMzk2bNmkXm5ua0Zs0aksvl9Oeff5KjoyP5+PiQvb09paenE8dxdPXqVfL29iaRSERisZj8/f3pwYMHheqUy+XUtm1bWrt2bZH3vH37NjVo0IAEAgG9fPmyvJtYiMxMosaNy7anTyjMI2vraGrTxoOMjY2pevXq1LlzZ5o8eTJt3bqVrl69SqnFxBhzctLuayQUKqhVq25Uu3ZtWr9+PWVmZurkfcjOy6YUWQopOaVO6itvmPCVhl9+0XgvX7ZAQO61axcbRaJSSUpShR8rJuCfTCBQrZ8eOpTof51K586d6Y8//tDuvmfOEKflJqgEW9tCUVfi4+OpSZMmNGfOHOI4jjiOo5SUFIqIiKDjx4/T+vXrafr06eTv709t27YlW1tbEolEVLNmTWrfvj0NHjyY5syZQ5s3b6aTJ0/SgwcPStzknp6eTpcvX6YNGzZQYGAgtW3bloyMjKhmzZrUu3dvmjdrFuXpYO8k1alT5P05jqN79+7RDz/8QM7OzmRjY0Pjx4+ns2fPai3qHMfRjdc3aNSxUdR+R3tqvqU5dd7dmeaenUuv014XKBcSEkIODg40aNAgiouLI5lMRlOnTi0QcmzEiBHUpUsXatiwIRkYGJBUKqXZs2dTQkJCsTYsWLCAunTpQkplwQ5VLpfTggULyNLSkiZNmkTdu3fXqq3akJpK1K6dKjZByR9lBtnZ3aG1a/+fvfOOiurq+vAzM3REEaxYsGEDIcYaNdZoYoliiyUJogmWxBZ7LJ+xxN4NMXajxtixG401loCigoJRY6EoYqXXKef74wqvSBFmBoN4n7VmoTP3nntmGO7v7H12+UWcOnXqtRV5XmXTptxeJ6u1k0a0a/dU6HQ6ce7cOdG1a1dRokQJMXny5PSczbxwNfKq6L+nv7CcaSlU01TCbIaZUP6gFC7eLmJT4KZ8KzBtDGRXZ24ZNUrayc6Ly9PKCvbswSc+nqFDh9K5c2fmzJlj9AACg0lKgm3bpL5yT54QGxNDSFwcu5RKfrh7F4WtbfqhX375JR999BH9+vXT+3KXL12ifJMmlEp9TW+zbNBaWeHt5sa0mzfp378/I0aMQKlU0qZNGz7//HOmTJmS67FSU1O5f/8+YWFhhIaGZviZ9rC0tKRChQqULFkSMzMz1Gp1evDM8+fPcXFxwdXVFTc3N9zc3HB1dZU6USOlGtz69FNq/Pkn+iZRCGtrFIsWwcCB0v+F4MqVK+zcuZNdu3aRnJxMt27d6NGjBx988EH6PqW+CCHYdHUTP575kQexD0jSJKET/3OJm6vMUaCgRaUWfF31a9ZMW0N4eDje3t60bNmSS5cu4eHhgbOzMytWrEAIwc8//8yiRYuIjY2lRIkSfP/9PNTqz1m50pTISEhNlf5c6tSBceOgY0e4dOkCn376KZcvX6ZcuXLp17958yYeHh7Y2tqybt06Jk2aRP369Rk6dKhB7zuvxMfHc/36dYKDg7l69TonTxbl+vVOqNU1USiUCCH9xs3MdCgUSj74AKpW9eHevRUcO5a33oVppKRI8Xa3buV9b9HMLIWyZTuiUt3js88+o3fv3lhaWrJkyRJ+//13evTowahRo6hVq1aO49x+fpteO3tx4+kNUrWpaHSZYwXSuqZPbzmdkY1H/mf9N7NDFr7cIgR8/z0sX/568TMxkfZkdu2S+t4B0dHRjBs3jsOHD+Pt7U3nzp3fwKT1IzAwkM8//5znz59z9uxZqlSpkv7a+PHjKV68OBMmTMjzuJGRkUyaNIlDhw7x+8cf02LHDhR53TtVKsHBAe7cIfThQ5YuXcq6devQarX079+fZcuW5Xler5KQkMC1a9cIDAwkICCAy5cvExwcjIWFBaVLl8b6RT/CxMREHj16RFxcHBUqVKBixYo4OjpSsWJFSpYsSUBAAHv37uWTGjVY6+uLqZ75k4nAliVLqFmvXno0pomJCd27d6d79+7Ur1/faDcWtVaNxx4P9t/cT4L6NbH6AtDAZ9afsXmMlKs3e/ZsfvrpJ5YuXUqdOnWYN28eO3bsQKlUUqdOHVq2/BRv71poNF1RKhVZ/inZ2ICZmUCpnM5PP9Xms8+kpDOdToe3tzfTpk1j+vTpDBkyBCEEZcuWxdfXl8qV86FvG1Lz35s3b2YINAkODiYyMpKaNWum78Gl7cclJFTk2DElz55JX9cSJaBTJ6hU6X+9C4cOHYqnp6de83n8GBo0IH3BkBusreGPP6BpU2nRtG3bNrZt24aFhQW9e/embdu2HD9+HG9vbxo2bMjYsWP58MMPM32vLkVcos3GNsSlxmVYDGWHlakVX7h+wS8dDWuabGxk4csrJ07A7Nlw9qwUGPLyN8/aWhLIL76AsWOhWrVMp586dQovLy/q1q3L8uXLKV269BucfO6IjY3FwcGBLl260LJlS7y8vNJfW7JkCXfv3s2TwCQnJ7N48WIWLlzIV199xcSJEyWrd+hQqZlvbsVPoZCyff39oWpVAO7cuUOrVq2oW7culy9fplq1aowZM4b27du/1vIRQhAWFkZgYGD64+rVq9y/f59atWqlW29pP7PLa0tMTCQ8PJzQ0FACAwPx8fHh0qVL2NraolKpePToEZt1OtwVirx1dwcSgN1VqvD1/fsoFAp69uzJmDFjcHV1NfqNRAhB7129OXDrAInq3C9IrEytmFF/Blsnb8XW1pYvvviCVatWceXKFYQQfPrpp0ycOJGyZd348EO4fTsVne719q9KlcxXX1nwyy9w/344AwYMIC4ujo0bN1K9enUALly4gKenJ9evX9f7faehVqu5fft2pkCT0NBQqlSpkkHcXFxcqFq1ql4BImlRtdeuXdO76eyzZ5JVHBQkOWyyi1GzsZHSJv74A+rWzfiaEAI/Pz+2bdvG9u3bsbe3p1u3bqhUKjZt2oStrS1jxoyhW7dumJiYcC/qHu+vfJ/olOg8zdXK1IrRH4xmeqvper3X/EAWPn0JD5dcgy93YG/YUMore02H8qSkJKZNm5be3dnT07NArYYA7O3tmTJlCn5+fvz+++/pz2/fvp0dO3awY8eO144hhGDXrl2MHTuWunXrMn/+fKq+EKwXB8DEiWgWLUKRmkqOtxArK0n0Tp2CFze9mzdv8tFHHzFp0iQGDx6MWq1m+/btLFy4kKSkJEaPHs0XX3yBhYUFSUlJBAUFZRC4q1evYmlpmUHg3NzcqFGjxv8SqjUauHkToqKk5XvJktKC5pXf1/Xr11mwYAF79uyhX79+jBw5kjt37jBgwADatm3LmGHDcOjbF8t//8Ukl8v0BOCYhQV9gEmTJ1OzZk3Gjh2Lm5sb8+fPp1oWCytDWHN5DSP+GJEn0UtHDR1COnD19FXi4uLQ6XQMGTKEESNG4ODgQEKCZKX8+2/eCgdZWQlatrzOxYutGDFiBOPHj8+Q7D516lQSExOZP39+rsdMSxV4WdyCgoL4999/KV++fAZxc3FxoXr16kav9jN+/HjCw8PZsmWL3mMIARcuwIIFcOAAqFRqkpNTKFKkCCkp4Ooq5Qh27vz6gHKdTsfZs2fZtm0bO3fupEKFCri4uBAcHMzTp0/57rvv2FdsHydDT+bK0nsVCxMLgoYEUdWu6usPfgPIwvcfcuXKFb7++mvs7OxYuXJlBpfif8qjR4z74AP6tm/Phk2bWLx5M4o2bcDamjNnzjBhwgTOvaYSyeXLl/nuu++IiYlh8eLFtGrVKsvj4uPj6V25Mr+6uGDv6yuJS5oFqFJJy1VbW8mC9vSEF+W2goODadeuHTNmzGDAgAHp4wkhhYdv2rSJX3/9ldDQUGxsbIiPj6dGjRqZRK5kyZJZv4HISClBfvlyyapPW9mr1VCqlLQR9cUXnA0MZN68eVy4cIGhQ4fyzTffYG5uzoQJE/Dx8WH16tW0b99eOjc5WaoVdfKk9B6z+dPTABqlkmMVKzKnbFlu373Lo0ePKFKkCC4uLiQlJXHr1i2aNm2Kl5cXtWvXpmLFitmWIssNQggqL61MaEyofgNowDzQnBKXS/D999/j6emZ7hIG6Qa8dKl+efwKRRKbNoXy+ec1M71Wv359FixYQMuWLTO9JoTgwYMHGdyTaakC9vb2mVyUtWrVwsrKKu8T1IO0qjbLli0zSvrF8+ewdu1f7Np1jAULplOhAjg66jeWRqPh1KlTbNu2jd27d+Pg4IDWWss/bf/RO/PbVGnKNw2+YcknS/QbwMjIwvcfo9FoWLx4MXPnzuX7779nxIgRxi+ZlRuEkNy3CxbA0aMkajSYqVSkpKZiYWWFSgjw8CC0a1daDR7M3WxKjr28jzd9+nQGDBiQozto8uTJhISESPUcnzyR9kUjIiT/jb09NGoELVtmsLACAwP55JNPmDVrFm5ubplclSYmJunCZm9vz4ULFzhx4gR9+vThu+++S3eTZfs5TJwIS178gWaToKUxN0ejVjPJ3h6n6dPp168flpaWnD9/nn79+tGoUSOWLVuWOd9RCDh3Ds2cOSiOHiVVCIRGg0KpRGlqiimg7NVLCqZyc8vwuXbv3h2NRkP//v0JCQnBx8eHkBc5lTExMZibm2fYZ3z5346OjpQpUyZb9+9foX/R4bcOr9/XywELpQVPxz3F2jyjxyM1VTKUY2P1G1epFPTqpeBV4+jhw4fUrl2bx48fExUVlclFmbYvmyZuaQJXu3btAhFgdvz4cQYMGEBQUBA2NoaWOIAtW7awf//+DB4aQ0lNTeXYsWOMPzqeIJsgg0qeFDErwpOxT7AwMazeqDGQha+AcPv2bQYOHEhcXBxr1qzB7aWbXr6TmAjdu8OZMzlaIpiYIExMmJuayni1GsVLN9GX9/EGDBjApEmTXntzCQ0N5f333ycgIIAKFSpke5wQgsjISAIDAzl48CCrV6+mVKlSPHnyhGrVqmWIpnRzc8uyoHJaMvUvv/zCBx98wJgxY2jWrFlGF3Pa/uzevbkuwigsLVFMn07y0KFMnTqVjRs34u3tTbdu3TId+2oR6LaurgyqXp2G1atTzNZWioL46CPJpZsFarWa0aNHc+TIEfbt20eNGjW4fPkyI0eOJCYmhmnTplGxYkVCQ0P5J+Qfrj28RvjjcJ5GPuXpnafEhcVRvnz5LEVxUfgijoQfQaD/7cDGzIZ1XdbRo3aPDM///jsMGiTtCOiLhYW0HlIootPFbfv27QQFBSGEVKDg1T04Z2dnSpQoof9F3wADBgzAxsaGpUuXGjzWqlWruHjxIqtXrzbCzDJSeWllQqJDDBqjqHlRdvTcQbuq7YwzKQOQha8AIYRg/fr1TJgwAS8vL6ZMmZKnGox6kZwsFVEODs51+YkEwKRfP8zXr0dA+j7ee++9l6e9pz59+lCjRg1++OGH9OdSU1P5559/MllxOp2OSpUqcf36db7++mv69+9P7dq181x8ODExkV9//ZXFixdja2vL6NGj6d69u2Rlf/89LFuW5yo9WnNzxpQsSVjDhqxYsSJDwEJUVFSGItDNmjWje/fudO7cWe+b8po1a5g4cSK//vor7du3T99LHTN2DJWaVsKijQWnI05jrvrfZ5OqTaW6XXU8q3lSQ9Tg4f2HGdI3ztU5R6qdfuklaZgqTZnVZhZjmozJ8HybNlJMmCGoVInY2ExEo1mLs7Mzzs7OXLx4kU8++YSRI0dStmzZArdPnhueP3+Os7Mze/bsoZGBJQ0XLVpEeHg4ixcvNtLs/oftHFtiUmIMGsPGzIZfOv1C3zp9X39wPiMLXwHk4cOHDBs2jGvXrrF69epMleiNSvfucPiw5FrMAzpLSx4MGcIX/v5ER0ezePFiWrdunevzz58/T/fu3Vm1ahU3b95MF7l///2XypUrZ7Libt++Tc+ePdNv9oai0+nYv38/CxYsIDw8nIkDBuA1axYKPYtJJ9vYYP78OQoTE548eZKedvD333/TunXr9CLQti/lRBrC2bNn+eyzzxg1ahSjR48mKjmK9pvaE/AwgFRdarYF/G3MbDBTmXH488M0KNcg/fnqy6vz73PDW2f90OIHpracmuG52rXhn38MG1el0jF2bDQ//miLUqkkJSWFUqVKcfv27ez3ad8Stm7dyo8//silS5cMCqKZMWMGqampzJgxw4izkyg6uyhxqQaY7EiuzhUdV/CF6xdGmpX+FJDikTIvU7ZsWXbu3ImPjw99+/alU6dOzJ071/j7Ejdv6iV6AMqkJIotXoyHtzeeAwfmuI+nVqsziFtAQACnTp3C1NSUhQsX4ubmRqtWUtSes7NzpjqSx44do0+fPmzdupU2bdrkea5Zzl+ppEuXLnTp0oULFy5wb8AAklNS9O5aYabTcXDoUBbevJkerv7VV1+xc+fOfCmW3KxZM3x9fenSpQt+1/y48N4FIhMiSSV70QPSb14tf23Jwb4HaVmpJeHh4Ty5/wQMjOswU5lR1DxzgI2hjTgAhFBSpIgdad71M2fOUKtWrbde9AB69erF5s2bmT9/PpMmTdJ7nPj4eIoXL27Emf2PouaGC59SoaS4Rf7ML6/IwleA6dq1K61atWL8+PE4Ozvj7e1Nly5djHeBpUsNuivZWFvzVfHi/4t4BJ49e5bBTRkYGMjNmzepUKFCuhXn4uLCo0ePuHz58mvzoA4fPoyHhwe7du3KN8u3Yb16NIiMNKjZizIhAScfH0auWpXvRaDTqFixIidOn6Dy7MrERMfkqU1bojqRTls6MVgxmA0LN1BpSCWuchUd+jddNleZ41zKmejo6PSegdeuXePhwxFAztVAXoeZmVTrPY2DBw9maDr7NqNQKPj555+pV68ePXr0oEaNGnqNEx8fn+NeuSF0rN6RdVfWZVmlJbekalNpWjH/2kTlBdnV+ZZw+vRpvLy8eO+991i2bFmeO2JnIjFRCss3sJNmlKMj8/r0SRe5+Pj4TOW7XFxc0kPbExISqFmzJtu2baNJkyY5jr137168vLzYu3cvH3zwgUHzzA6dTseJn3+myYgRWOWlU0VWqFTSQuIN7jX9fu13Bh4YSHxqfN5P1kGJZyVoHNqYI1eOoPZUg6n+czFLNaPkxpLERMfg4uJCnTp1qFOnDhcvfsr27Y6kpBjWVWDo0N/55pum1KhRAycnJ7Zv307dV7Oy32KWL1/Ozp07OXnypF5l5/r160erVq30rgiTE/88+Yd6q+qRpMm7dwhApVDR26U3m7ttNvLM9EO2+N4SWrRoQWBgINOnT8fV1dXwxPebNzNYavpSNCwMSwsLBg4ciJubG5UqVcp2Tjqdjjlz5vDBBx/g5uZGTEwMWq02wyOt1c+BAweYNm0a3t7eWFlZcfny5UzHZHVebp9LTk7G39+fU6dO0QT4QKXKW4umrFAopIVEPveBe5m55+bqJ3oASnhq+5TTO0/zXb/vOFz2MNeeXtNrKFNM6e3Ym6mnp1KpUqUMN+6ICMhFvYMccXTUoNFconVrKeDr8ePHpKamotPpDK5NWlD45ptv+O2331izZg0DX9RlzQsJCQn51oOwVslaOJdyxj/CX6/zzU3MGfXBKCPPSn9ki+8tJC3xvXjx4qxatUq/xPdTp8DdHWIMi9TSALXKlSNRiNcKThpmZmbpjWBffqQ9l5yczPPnzylfvjzW1tZZHqPvcxqNhuvXr3P16lVKlSpF48aNaWZqyoBt27AwsEs6KhXEx0ux92+Aa4+u0WhNI71X4QBmCjOmtpzKxOYTOfzvYbpv767XeMXMi3Fn+B3srbIu69ahg1Q2S5+7TZEiUn34vn2lxdOoUaM4deoUKSkpxMbG0qVLF7p27UqLFi2MXmHlTRMUFETr1q0JCAjAwcEhT+d+8sknjBgxwijBX1lx4cEFWm1oRaImb1HPliaWdK7Rma09tubLvPRBtvjeQurWrYufnx9LliyhYcOGuU58F0Lw7Nkzbt26RdSxY7ROTtY7mCMNlULBsb/+QmVm9loR8vDwoFKlSsycOTPb8datW8eUKVMIDAzMsumovty/f58lS5awfv16OnbsyC+//IKrq6v04t27hpskIAnfGxI9gFMhpwzKuwNIFaksOriIM7PPcO3aNTQ1NSg/UKIzyb31a2VqxdEvj2YregBz5sDp03nv52xqCuXLQ48XqYFKpZKgoCB++OEH3N3duXHjBnv37mXKlCncunWLDh064O7uzieffJLvHdjzAxcXFwYNGsSwYcPYtWtXns6Nj4/P1/fcsFxDtnTfQp9dfXK9OLIysaJBuQZs7Lox3+alD4XDR5AX4uOlUlSffgpNmkCLFvD553DkiOGurjeIiYkJY8aMwc/Pj0OHDtG4cWMCAgIAyeUREBDA9u3bmTlzJh4eHjRu3Bh7e3uqVavGyJEjORoUhImhXcEBhY0NjlWqUL58ecqWLUvJkiWxs7OjWLFiFClSBEtLS0xNTbl48SInT57MsavDL7/8wg8//MDJkyeNJnrBwcH0798fV1dXdDodV65cYePGjf8TPeC+qSlRhgajKJVSUcQ3SFRyFCkaA63UF+PExMTw22+/kXw0mXkd5mFlaoVKkbMr3EJlQTHzYpzwOEHDcg1zPNbVVVpb5OVjNjWVKr6cPCkFtwDExcXh5+fHRx99BEDNmjUZP348vr6+BAUF0axZM1avXo2DgwOffvopa9eu5fHjx7m/aAFg0qRJBAcH4+Pjk6fz8lv4ALrU7MLhzw9T3KI4NmbZV5sxU5lhYWJBT+ee/Pnln5ipCpYl/u64OkND4ccfYfNm6Sb1alBHkSLSY9QoGD5caitUgFGr1dy7d49bt25x8+ZN9u/fz/nz57GwsECtVlOtWjWqV69O9erVcXJySv93yZIl/7cH9957EBio9xyEqSmKQYOkepY5HScETZo0YdCgQdluvC9dupQlS5Zw/Phxg2uWCiE4e/Ys8+bN4+LFiwwbNowhQ4ZkKB+WlJTE3r172bBhAxcuXGCZszN9Ll1CpUdqByAVJj9+XCqx9oaYeXomU09NNSgSE6B2idr0je7LokWL8PLyYuLEidxNvMuC8wvY9c8uVApVeikzBQqKmBXBVGXK8IbDGVx/MKWL5L7DyOnT0vpAq80+rkqhkD7OqlXhzz8l8Utj9+7d/PLLLxw9ejTH60RHR3P48GF8fHw4evQorq6uuLu74+7uXnBq4ubAmTNn6NOnD8HBwblOY6pWrRqHDx/Gyckpn2cnta/ac2MPc8/NJehxEOYmUo9GrdCiVCgZVG8Q3zb4FkdbPQuG5jPvhvD5+Ul98RISXl8a3tJSyrj988+M8dP/ATqdjgcPHnDr1q30x7///sutW7cICwujXLly6YJWvXp17O3t2bhxI7dv32b16tW0aNEi5wsYWEtKmJujCArKsv1Sxsv8zoIFC7h48WKWgQjz5s1j1apVHD9+HEd9K+sifV579+5l3rx5PH36lDFjxuDh4ZGeWpDWhmXDhg3s2LGDevXq0b9/f9zd3bHUaqF06bz74tKoXh1u3Mi3iM6oqCiuXr1KYGAgly9f5uLFi9y0vom2rRa9O9y+oE3lNhzzOEZERASTJk3iyJEjzJgxA09PT+LUcewI3kFIdAixqbGUsCzBe2Xeo2P1jpgo9dspSUiArVsl9+fDh1LnACGkjy4lBVq1kmqSv1KiFZBKfL333nsMHz4819dLTk7mxIkT+Pj4sG/fPsqUKYO7uztdu3bFzc2twFZ8GTRoEEqlkhUrVuTq+LJly3L58mXKli2bzzPLSERcBI/iH5GiTcHWwpYqxasUOAvvVQq/8F29Ck2bSi7O3GJmBjVqSIL5BvKx0vbdXn3cvn2bokWLZhC3tEeVKlWyLde1Z88ehg4dSseOHZk3b172K8aUFChTBqLz1l8LpKCWlPffx/rSpRyPS0xMpGbNmvz22298+OGHGV4TQjBjxgy2bNnC8ePHM3TZzgvJycls2rSJBQsWUKxYMcaPH4+7u3t6jmBERASbNm1iw4YNaLVaPD09+fLLLzPnPP3+O3z1Vd4T+q2sJFOmfn295v8yWq2WO3fupCf6+/n5ERgYSGxsLDY2Nuh0OuLj4ylXrhzODZ05UvsIGvTPrbIxs2Flp5X0qdMn/Tl/f39GjhxJYmIiixcvfv0CSk+EkPrJhYdL6w1bW3B2huzu2zqdDgcHB86dO5exvVUe0Gq1/P333+zZswcfHx+0Wm26CDZt2vS/KRCfDdHR0bi4uPD7779n+tvJChsbGx48eGBQl453hcItfGo1VKgAjx7l/VwLCymMbO1ao0wlISGB27dvZylwGo2GGjVqZBA2JycnnJyc9P4SR0dHM378eA4ePJhz4vtff8Enn+QA3/DnAAAgAElEQVTtZq9QEKNScW3TJpr17p3joTNmzODq1auZ+vcJIZg8eTJ79+7l2LFjeuUlRkdH88svv7Bs2TLq1q3LuHHjaN68OQqFguTkZPbt28f69evx9fWlR48eeHp60qRJk5xX+EuWSN0Zcvt5WFnB7t2SRyGPxMbGpltxfn5++Pv7c+fOHczNzTExMUkPT3dxcaFhw4a4urpSp04datasmV7DtevWruy9uVfvIJei5kV5POYx5iYZF1FCCLZv3864ceNo0KAB8+fPz7cO57nF39+fL774ghs3bhhlPCEEQUFB7Nmzhz179hAWFkanTp3o2rUrbdu2fSNFCF7H7t27mTRpEleuXMmxbq9Op8PExAS1Wq1Xc9x3jcItfLt2Qf/++peFt7CQfDG5rK+oVqsJCQnJUtyePn1K1apVs7TeMuy7GZm0xHc3NzeWL1+etcDs3w+9e+fKzacGVPb2TGjcmDq9evHll19me+yDBw9wdXXF398/w01TCMHYsWM5duwYf/75Z57LTr0codmpUyfGjBlDnTp1EELg7+/P+vXr2bZtG3Xr1qV///507do1b33Wdu+GIUOkzyMrT4FSKXkCypWD3357raWX1vg0MDCQS5cucf78eYKCgoiJicHKygq1Wo1Op6NatWrUr1+fevXqpSd/Z2pr9Arnws7RbnM7vZrHmqvMGd5oOPPazsv2mKSkJBYtWsTixYvT9/+M0UJHH6ZNm0ZsbCwLFy7Ml/FDQ0PZu3cvPj4+XL58mTZt2tC1a1c6duz42t9DftKtWzdcXFyYPj37DuYJCQmULFmSRH1d9e8YhVv4GjaEixf1P9/KCmbNghEj0p9Ka26ZlbiFhYXh4OCQpbhVqFDhP1uJJSUlMWPGDNasWcOcOXPo379/ZqH195fe5+XLUuTBK6XMUk1MUAiBb8mSxE6fzsmbNylVqhTjxo3L9rqenp6ULVuW2bNnpz+n0+kYPnw4fn5+HDlyJE83lKCgIBYsWMC+ffvw9PRk5MiRVKxYkYcPH7J582Y2bNhASkpKuivTkP1CdDop0nfePKlPoRDSw9RUis4YM0ZqKf7K5xgfH8+1a9e4cuUK586d49KlS9y7dw8TExOUSiXJycmUKVMGV1dXGjdujJubG3Xq1MHR0VHvROxBBwax+ermPImfidKEyraVuTTwEjbmrxeyiIgIJk6cyNGjR5k5cyb9+vV749/nhg0bMmfOnDwVQ9eXp0+fcvDgQXx8fDhx4gQNGjSga9eudOnSJd/KgmVHREQEbm5unDp1Ktto58ePH+Pi4vLWRbD+VxRe4bt3T9ow0DdK7wVxJUowd9CgDMEl+uy7FQQCAgL46quvsLW1ZdWqVVnvk9y+LbXmOXBA6hyqUoGdHQ8//ph227bhMWoU9+7do1q1aoSFhbFkSdYdlf39/encuTM3btxId9fqdDoGDRpEcHAwhw8fzlW0mhCCM2fOMG/ePPz9/Rk+fDhDhgzBysqK/fv3s2HDBs6dO0e3bt3w9PTM3GPPWCQlSZbei9+vEILQ0FACAwP5+++/OX/+PP/88w9RUVFYWFiQmpqKlZUVNWrUoFGjRjRo0ABXV1dq1qxp9O+IVqel7+6+HLh1IFfiZ64yp6xNWc4NOIeDTd6SpC9evMjIkSNJSkpiyZIl+ds55CUePXpEjRo1ePz48RtPUk9ISODPP//Ex8eHAwcOUKVKlfQI0dq1a7+R4JiVK1eyYcMGzp49m+WC4+7du7Rp04Z79+7l+1wKBaKwcvy4EMWKpa3T9X6kKJXihx9+EFu2bBH+/v4iJibmv35nBqFWq8X8+fOFvb29mD9/vlCr1bk+t3HjxmLJkiWiRo0aYsuWLeKzzz7L8jidTieaNm0qVq9enf6cRqMRHh4eonnz5iI2Nva119JoNGLXrl2iUaNGolq1amLlypUiMTFR+Pv7i2+//VbY29uL1q1bi40bN4r4+Phcvwd9SEhIEH5+fsLb21t89tlnwsnJSZiZmQlzc3Nhbm4uzMzMhJOTk+jZs6dYunSpOH36tHj27Fm+zulVdDqdmHl6prCZZSOKzCoi+IFMD4uZFsJipoXovq27iEqKMuhaW7duFRUrVhQ9evQQd+/eNeI7yZr169eL7t275/t1Xkdqaqo4fvy4GDZsmKhQoYJwcnISY8eOFefOnRNarTbfrqvVasWHH34oli9fnuXrgYGBwsXFJd+uX9govMK3b59RhE+nUAih0/3X78bo3L59W7Ru3VrUq1dPXLlyJVfnrFu3TnTs2FHY29uLHTt2iGbNmmV53LZt24Sbm5vQaDRCCOlm0bt3b/HRRx+JhISEHK+RlJQkVq5cKZycnESDBg3Ezp07xf3798WCBQuEi4uLqFy5spg2bZq4d+9ent5vbtDpdCIsLEzs3btXjBo1SjRp0kTY29sLlUolLCwshFKpFKVLlxatWrUSkyZNEvv27RP37t0TugL0/UhWJ4vNgZuF2wo3YT7DXPADwmS6iSi7oKyYcXqGiIyLNNq1EhMTxYwZM4SdnZ34/vvvc7Wg0Zfu3buL9evX59v4+qDT6YS/v7+YPHmycHFxEaVLlxYDBw4Uhw4dEsnJyUa/3j///CNKlCghwsLCMr127tw50bhxY6Nfs7BSeIXv1CmjCF8CCBcXF9G5c2cxYsQIsXTpUrFv3z4RFBSU75ZGfqPT6cTatWtFyZIlxYQJE0RiYmKOx8fHx4vixYuLDh06iKX/93/ik/Llhbh4UYhbt4R48YeelJQkHB0dxYkTJ4QQQqSkpIiuXbuKDh06iKSkpGzHfv78uZg1a5YoU6aM6NChg/jzzz/Fzp07xaeffipsbW2Fp6enOH36tNFW1WnW49KlS0W3bt1EtWrVhJmZmTA1NRUqlUoUKVJEuLm5iQEDBoj169eLgICAfLmZ5TdaXf5ZIWncv39feHh4iLJly4p169YZ3fJJSUkRxYoVE5GRxhPt/ODWrVti/vz5okmTJqJYsWKiV69e4vfffzeql2j69OmiU6dOQqfTifh4IVavFqJbNyFcXZ8JO7uLYsAAIU6fLpRrdaNSePf4IiOhcmVITjZoGG2tWlzbsoV79+5x9+7dDD9DQkIoVqwYlStXpkqVKpl+li9f/q0ILY6MjGT48OEEBATknPiu0/HTp5/S3NeXWtHRJOl02BQtikKnk4I8vvqKn01MOHbnDrt37yY5OZkePXpgamrK1q1bs9zbCg8PzxCh2alTJ86dO8fvv/+Os7Mznp6edO/eXe9STEIIIiIi8Pf35/jx41y4cIF///2X6OholEolCoVCyolzdqZZs2Y0adKEOnXq5FtDz8JM2v5fcnIyS5YsyVXuWW44ceIEEyZM4MKFC0YZ700QGRnJ/v378fHx4ezZszRt2pSuXbvSuXNng1qKpaam4uLSgUqVfuHcuWoolRkDjxUKKSavRAkYNw68vKR4LJmMFF7hAym36jWljXKkSBHw9gYPjyxf1ul0REZGZhLEtJ+PHz+mfPnyWYpi5cqVsbe3L1BVI/bu3cu3336bdeJ7QAB07Ig2OhpVNiHTwtSUFLUadYcOqDZtomufPtja2rJ582ZMX/nrCwoKYv78+ezfv59evXpRqlQp9uzZQ0xMDJ6ennh4eOS5tFRKSgpBQUGcOHGCM2fOEBQUxIMHD9BqtQghKF68OE5OTjRo0ICWLVvy/vvv4+joWKB+B287Qgi2bdvG+PHjadSoEfPmzaNSpUp5GyQkRFq4pqaCrS3j167Fys6OqVOn5seU853Y2Fj++OMPfHx8OHz4MLVr16Zr1664u7vnubzYhQvQurWGhATB65onWllJmTYHDsB/lIFSYCncwnf8uNR6Jy9VW16mSBF48kTvivspKSmEhoZmKYp3795Fq9Vmay1WqlTpP0mgjYmJYfz48Rw4cICffvoJd3d3OHMG2rfPddNaYWnJTRMT5nXsyKpNm9KrYYiXIjQvXrxI27ZtiYqK4ty5c3Tp0gVPT09atGiRq7D+yMhI/vrrL44fP86lS5e4e/cu0dHRKBQKLCwsqFChAq6urjRv3pwPP/wwX6IpZbInMTGRhQsXsnTpUgYNGsSECRNyzv9LTpaqWM+dK3XLSIvc1OlIiI8nvlcvSv/4I7wFdTZzIiUlhZMnT7Jnzx727t2LnZ1dugjWq1cvx0VYYCA0a5a325m5uVSS96+//veRyhR24RNCSmn499/X1+h8FSsrqWD1jBn5Mzek+ov37t3LIIhp/w4NDcXOzo7KlStnKY7lypXLVzdqWuJ7+ypVWHz2LMo8dmpPVakwbdMGxR9/oH2phubDhw9xcnLi6tWr1KxZk/79+9OjR49sb4qpqakEBgbyxx9/pKcMPHz4ELVajVKppFSpUukpA23btuX999+X3ZQFiAcPHvD9999z/Pjx9Py/TAubo0ehZ08pdzKbu7owNUWhUkn9idauLRR3cZ1Oh5+fX3r5tKSkpPQ0iebNm2fwkqSmSkWo9EnTs7SUXJ5Llxpx8m85hVv4QGr//N578Py5lJidGywtpUq5+/dLuVv/ATqdjoiIiGytxWfPnlGhQoVs3ajFixc32IWXnJxMiIsLTnfuoI/ECmtrDg4cyIi9e9FoNKhUKrRaLf369cPDw4NqrxS3fvToEUeOHOHkyZMEBARw7949YmNjAakOYaVKlahbty6tWrWiRYsWspvyLeLChQuMHDmSlJSUjPt/27eDp2feSsTVqwfHjhUK8UtDCME///yTLoJ3796lY8eOuLu78/HHH7N/vzUDB+pfhMrKShJNa2vjzvttpfALH0gtiVq0kNyWryvpY20t9erbuLFA7wonJycTEhKSyWK8e/cud+/eRaFQZBDCl/9dqVKlHOv+pfPwoRQgpGdnch1w0swMdzMz3N3d8fT0pFWrVuh0Onx9fTl8+DB+fn7cvHmTR48eoVarMTMzo2zZstSqVYsmTZrw8ccf4+bmJrspCwFCCLZu3cr48eP54IMPWNKzJ2U9PPQrCt6pE2zblj8TLQCEh4ezb98+fHx8uHDhAgpFALGx+rt5ra1h0SIYONCIk3yLeTeEDyQXyq+/SiWonj+X9qvS3rqZmWTZNWokhUK1b59v7WXeBEKIdDdqVtZieHg49vb22VqLDg4Okjtq6lTp8zIgMlZjYsL6yZM5efMmV69eJSwsjLi4OJRKJcWLF6dKlSrUq1ePNm3a0Lp16/+0JqLMmyExMZEFCxbQbfp0XPRthmxlJZWSq1vXuJMrgFy8GEOzZtakphrWOaJmTfjnHyNN6i3n3RG+NISQdnpPnpRsfwsLcHCA7t0l6+YdQKvVEhERkW00alRUFBUrVuSPiAgq6xsY9II44DszM/5ydExPGejQoQM1a9aU3ZTvMlevomvUCKW+iyqVSuqesnGjcedVAPnjD6mGfEyMYeMUKaK/q7Sw8e4Jn8xrSUpKIiQkhEoffojls2cGjSXMzVHMmyd1tZeRSaN/f9i0Kff77lmRx+4pbys7d0ptIl9sd+uNiUmm2vPvLP9N5IZMgUStVnP37l18fX3x8/Mj1Qh/JQqF4j8LEJIpwPzxh2GiB9IWha+vceZTgLGxMc7OSwFoL1hgKDjthmXyncTERMLCwggNDSUkJITQ0NAMj0ePHlGmTBkcHR2pVKkS7SwtKWboMtPUFOztjfMGZAoPxvC5CQFRUYaPU8CpWVPv+LIMvBJE/U4jC18hIjo6OpOYvSxyMTExVKxYEUdHx/RHu3btqFSpEo6OjpQrVy5jhZVFi2DKlFw1qM0WtRratTP8zckULozlBTAp/LcwR0epAsvZs/qPUaQIjB1rvDm97RT+b00hQQjBkydPMonZyw+NRpNB1CpVqkT9+vXT/1+mTJm8NTvt3x8xaRJ6e1mUSujSRbb4ZDJja2u41adQSEUp3wHGjZMqt+j7kSkU0K2bcef0NvPmhU+thj//hLAwyZIoVgzc3KSk1Hc4yk+r1fLw4cMsBS0kJISwsDAsLCzSrTNHR0eqVKlCq1at0p+zs7MzaqRkQGgokdbWfJScrN8XxcJCqn4jI/MqX3wheRQM9eE1bWqc+RRwOnSQND4hQSpwkxesrGD06PQeyjK8yajOBw9gxQqp6LNOJwmgVvu/JPFy5WD8eClu18rqjUzpTZKamkp4eHiWLsjQ0FAePHiAnZ1dJovt5f/nWOvQiMTHx/PDDz+wadMmlowbR+85c+DZMxR5+apYWUGfPrBmTf5NVObt5f59cHLSP0fUzAxGjpRqe74jhITA++9DdPT/UpBfh5UVtG4Ne/fKMWYv82aEL60skU6X8wqvSBHpceoU1KiR79MyJomJidm6IENCQnjy5Ally5bNUtAcHR2pWLFi7qqp5DP79+9n6NChtGzZkgULFlCyZEmubt1Khb59KQqocvN1sbKCtm1h1y4p30pGJis+/lgqPZZXEwYkb8LNm1CxovHnVYC5dQtatpTE73UFb9KKUP36a6Gq7mYU8l/4NmyAb77JfVkihQKKFpXClGvWzNep5RYhRJaBIy+LXFxcXKbAkZcFrly5culdCgoi9+/fZ/jw4QQHB7NixQpat24NwO3bt2nevDnzhg6l1tSp1DUxQanRZF3029pauomNHAkzZ8pLTJmcCQmRKq9ER+ftPGtrmDhReryDREfDqlWSpzgxMeO+n6mptNasV09yoHXq9E7vIGVL/grf339DmzZ5r8WnUECpUlJXhTfg3hNC8Pjx4xwDR3Q6XbYuSEdHR0qXLp23wJECglar5aeffmLmzJl8++23TJgwId3yfPLkCU2aNGH06NFs2bKFzz77jKGtW5M0ezZs3oyFiYlUMV+tllbeY8fCl1/Kzb9kcs/ly5IvLi4ud5aflZVUcHLRonf+jq7TwZEjcPo0PHokGcHly0OvXnLqwuvIX+Fr1UpyW+qDlZVUJ/Lbbw2ehlar5cGDB9labGFhYVhZWWUpaGnPGaPbQUHj0qVLDBw4kKJFi/LLL79Q4yX3cmJiIq1ataJdu3ZUqFCB9evXc/bsWVQqFQcOHGDZ0qUc9fGRFjXFism+FBn9uXNH2g8OCpIWUVl5E2xsJFNm9mwYPPjNz1GmUJF/whcSArVqGVTgGEdHuHfvtSu7lJSUDIEjr1psERER2Nvb52ixFSlSRP95vmXExsYyZcoUtm3bxrx58/jyyy8ziLpGo6Fbt27Y2dnx448/UrduXU6ePImzszMAkydPRqlUMn369P/qLcgURv75B5Ysgd9+k3x4KpUUxfHee5Lfzt29QHdMkXl7yL9Np7ToTUN4+hTOnCGhXr0cA0eePn2Kg4NDBkFr3rx5ushVqFBBbmuD5NL18fFhxIgRtGvXjuDgYOxfybETQjBs2DCSk5NZvXo1vXv3ZvDgwemiB+Dr68t33333pqcvU9ipVQtWrpQeGo3UfdXS8p13acoYn/yz+Bo2hIsXDRoiVaFgmqUli3S6HANHHBwcCnTgSEEgNDSUYcOG8e+//7Jy5UqaN2+e5XGzZ89m+/btnD59muPHjzNx4kQCAgLSFw5arRY7Ozvu3LlDiXckeVhGRqZwkX9qYWiNR8BUCL4fNIgZCxa8lYEjBQGNRsPSpUuZPXs2I0eOZMeOHdlav5s2bWLlypWcP38enU7HsGHD2Lp1a4bjb9y4QalSpWTRk5GReWvJP+EzQk6awsSEIqVLy2HxeuLn58egQYMoWbIkvr6+VMsh1OvYsWOMGTOGU6dO4eDgwODBg+nUqRPNmjXLcJyvry+NGzfO76nLyMjI5Bv5J3yVKknF5QzBwkKq6CKTJ2JiYpg4cSK7d+9m4cKF9OnTJ8eI1MDAQPr27cuuXbuoVasWZ86c4cCBAwQHB2c6VhY+GRmZt538M6WGDJGqsBiCVisVOZbJFUIIduzYQe3atdFoNFy/fp2+ffvmKHphYWF06tQJb29vPvzwQ5KTk/Hy8mL58uUUK1Ys0/G+vr40atQoP9+GjIyMTL6SfxZf27aS8MXH63e+SgV9+8rJ0Lnk3r17fPvtt4SHh7N9+3aa5qJ4b1RUFO3bt2f06NH07NkTgFmzZuHs7EzXrl0zHR8XF8e9e/dwdXU1+vxlZGRk3hT5Z/EplVJJcH0LTpuZgRwy/1rUajVz586lQYMGtGjRgsuXL+dK9FJSUnB3d+fjjz9m5MiRAAQFBbFixQqWL1+e5TkXL17kvffew0xOVpeRkXmLyd8cgJEj4dAhqXRZXhLZraykWo8v5Y7JZOb8+fMMGjSI8uXLc/HiRSpXrpyr83Q6Hf369aN06dIsWLAAkNIUvv76a3788UccHByyPE/e35ORkSkM5G+4pIkJ7N8PjRvn3vKzsoIJE2RrLweioqIYNGgQPXv2ZMqUKRw6dCjXogcwbtw4IiIi2LhxY3qayM8//4yZmRlff/11tufJwicjI1MYyP88AWtrqfHsxIlgZ5f1np1KJQle7dqwdStMmZLv03obEUKwZcsWnJ2dMTExITg4mM8++yxPNUSXLl3KoUOH2LNnT3ox6rCwMKZPn87q1auzzZcUQuDn5ycHtsjIyLz1vLlGtCCVITpwAJYtg9BQyf1pYwP160sWXr16b2wqbxu3b9/mm2++4dGjR6xatUovAdq1axcjRozg3LlzODo6ApKgffrppzRu3JjJkydne+69e/do1qwZ9+/fL3TFumVkZN4t3mydLxMTqdCsu/sbvezbTGpqKvPnz2fx4sVMmDCBESNGYKpHod6zZ88yZMgQjh49mi56ANu3byc0NJTdu3fneH6am1MWPRkZmbcducBlAeavv/5i8ODBVK1alUuXLmUQrLxw48YNevTowebNm3nvvffSn3/+/DkjR45kz549r43UlPf3ZGRkCgtyLbACyLNnz/jqq6/4/PPPmTlzJvv27dNb9CIjI2nfvj1z586lXbt2GV4bM2YMn332Wa7cpnLiuoyMTGFBFr4ChBCCjRs34uzsTJEiRQgODqZbt256uxfj4uLo2LEjX331Ff369cvw2vHjxzl+/DgzZ8587TgpKSkEBQVRT96DlZGRKQTIrs4Cws2bNxkyZAgxMTEcOHCA+vXrGzSeWq2mZ8+e1K9fn0mTJmV4LSkpiUGDBvHzzz9jk4vKOFeuXKFGjRpYW1sbNCcZGRmZgoBs8f3HJCcn88MPP9C0aVO6dOmCn5+fwaInhGDQoEGYmJjg7e2dyWKcNm0aDRo0oGPHjrkaT97fk5GRKUzIFt9/yMmTJ9O7mwcEBFC+fHmjjDtt2jSuXbvGqVOnMjXovXLlCuvXr+fq1au5Hs/X15cOHToYZW4yMjIy/zWyxfcf8OTJE/r164enpyfz589n9+7dRhO9NWvWsHnzZg4ePJjJNanRaPDy8mLu3LmULl0612PKgS0yMjKFCVn43iA6nY61a9fi4uJCiRIlCA4OpnPnzkYb/9ChQ0yZMoXDhw9TqlSpTK8vXboUW1vbTIEuOREZGUlsbCxOTk5Gm6eMjIzMf4ns6nxDXL9+ncGDB5OSksKRI0cy5NMZA39/f/r168f+/fuzFKm7d+8ye/Zs/Pz88hQlmlamLLtSZjIyMjJvG/LdLJ9JSkpi8uTJtGjRgl69enH+/Hmji97du3fp3Lkza9asyTIIRQjB4MGDGTduHFWrVs3T2HJgi4yMTGFDFr585M8//6ROnTrcunWLwMBAvv32W1QqlVGv8fTpU9q3b8+UKVPokk23+s2bN/P06VNGjRqV5/Fl4ZORkSlsvNki1e8Ijx49YtSoUZw/fx5vb+98i4hMSkqiTZs2tGjRgtmzZ2d5zJMnT3BxceHQoUN5TkDXarXY2toSFhZG8eLFjTFlGRkZmf8c2eIzIjqdjlWrVlGnTh3Kly9PUFBQvomeVqulb9++VKlShR9//DHb47777js8PDz0qroSHBxMuXLlZNGTkZEpVMjBLUbi2rVrDB48GJ1Ox7Fjx3B1dc23awkhGDFiBHFxcWzbti3bwJPDhw9z/vx5goKC9LqO7OaUkZEpjMgWn4EkJiYyYcIEWrdujYeHB+fOnctX0QNYsGABf/31F7t27cq2q0J8fDxDhgxh5cqVWFlZ6XUdWfhkZGQKI7LwGcDhw4dxcXEhLCyMa9euMWjQoHwP+9+yZQvLly/n0KFDFCtWLNvjpkyZQosWLWjbtq3e15KFT0ZGpjDyTga3PFerWfvwIesiI3mmVqMVgqImJnxiZ8fI8uWp8RoLKSIigpEjR3Lp0iVWrFiRqd1PfnHy5El69erFiRMncHFxyfa4Cxcu0LlzZ4KCgihRooRe14qOjqZ8+fJER0dnKnsmIyMj8zbzTll8j1JT6RUcTLm//2ZqSAg3EhN5olbzXKMhJDmZNRER1PX3p/GlS/jGxGQ6X6vV4u3tjZubG9WrVycoKOiNid61a9fo1asX27dvz1H01Go1X3/9NYsWLdJb9AAuXrxIvXr1ZNGTkZEpdLwzd7VbiYk0v3KFZ2o1mmyO0QAanQ6/uDjaBAbya82a9HhR+isgIIBBgwZhZmbG6dOnqV27tsFzStJq2fHkCedjYniqVmOtUlHFwoIvy5ShiqVl+nH379+nY8eOLF26lJYtW+Y45oIFCyhXrhx9+vQxaG6ym1NGRqaw8k4I38OUFJpducJTtZrc+nUTdTo8btzAXKPh9KJFbNq0iVmzZtG/f3+D9/HCkpNZGB7OushIAOK12vTXzBQK5oSH08DGhgkVK9LUxIT27dszbNiw14rZrVu3WLhwIZcuXdK7eW0avr6+fP311waNISMjI1MQeSf2+NoFBnIyKipbSy8nFElJ9N6+nSVz52ZZ+DmvnImOpuO1ayTrdKhf89FbKZXYXrhA17Awli9dmqOY6XQ6Wrdujbu7OyNHjjRojkIISpYsydWrV3FwcDBoLBkZGZmCRqG3+EKTkzkTHa2X6AFYWFjQbtYso4ieb0wMn1y9SqJOl6vjE3U6UsbdIcMAABDpSURBVNzcSMhFw9h169aRmJjIsGHDDJ0md+7cwcrKShY9GRmZQkmhD27xfvCA3MlM1iQpFMwNDzd4HtFqdZ5ELw2tqSnbnzxJd4tmxcOHD5k4cSJr1qwxSi1QeX9PRkamMFPohW99ZCSpBnpzw5KTuZWYaNAYv0ZGvta1mR2JOh3TQ0LIzis9fPhwvLy8jJY4LwufjIxMYaZQC58Qgii12uBxTBUKIlJSDJrH/PDwPFt7L/Nco+GvLFIs9u7dS2BgIFOmTNF77FeRhU9GRqYwU6iDW7RCYHr6dK4jObPDJDmZ1mfP4pKUhJ2dHcWLF09/vPx/W1vbLPPe/noR0PJy9GZeUQCf2tuzt06d9OdiY2NxdnZm06ZNr01zyC1JSUnY29vz7NkzLF9KqZCRkZEpLBTq4BaVQoG5UkmyAZYWgJmZGfVq1KB4ZCRRUVHcv3+f58+fExUVleERExODtbV1JmF8VL8+yfXrgwHJ4AK4/oq79fvvv+eTTz4xmugBXL58GWdnZ1n0ZGRkCi2FWvgA3Kyt8YuLM2gMYWLChD59KPoa4dLpdMTGxqYLYZo4bhcCYYQani9bjOfOncPHx4fg4GCDx30Z2c0pIyNT2Cn0wje+YkX63bhBnJ5uRhOFgt6lSr1W9ACUSiW2trbY2tpSuXLl9OejIyI4dPu2QXt8ANYvxDMlJQUvLy+WLVtm9F55vr6+uLu7G3VMGRkZmYJEoQ5uAWlfzNSAKiZmCgXflS9v0BycLC1RGlhJBaDmi+LZc+bMwcnJie7duxs85qvIFp+MjExhp9ALn4lSyY+VK2Olh6tRpdHQolgx6hQpYtAcmtvaYmNgfl0RlYrvKlTg+vXr/PTTT3h7extcluxVHjx4QHJyMlWqVDHquDIyMjIFiUIvfACDy5Xj67Jl8yR+5goFls+eYfLjjyQnJxt0faVCwajy5fUS3zSKqVS0LFoULy8vpk2bRnkDrdCs8PPzo1GjRkYXVBkZGZmCxDshfABLqlVjQsWKWCiVObo+FUh7aU2LFSOsc2eslEo++eQTYrLIocsLA8qWRaWnoFgAkxwdWblyJQCDBw82aC7ZIbs5ZWRk3gXeGeFTKBRMqVSJa/XrM8jBAWulkqIqFdZKJVZKJTYqFeYKBR3s7Djk6soxNzeKW1qyZcsW6tSpQ4sWLYjMoWzY67AzNeVgnTp5tvrMhUCcOYPFn38ydepUVq9enW9d3mXhk5GReRco1AnsOZGk1XIiOponqamohaC4iQlNixWjrLl5pmOFEMycOZNff/2VI0eOULVqVb2vezwqCvcX3RleVzjbWqmkZ6lSfB0dTZuWLWnbti379+/X+9o5oVarKV68OA8ePKBYsWL5cg0ZGRmZgsA7Y/G9iqVKRUd7ezzLlsXLwYEepUplKXrwwlqcMoUxY8bQvHlzAgIC9L5um+LFCWjQgAEv9hytX7HeTABLpZIGNjZsqlWLdTVq8PD+fcqXL8+NGzeYOHFitjU7DeHatWs4OjrKoicjI1PoeWctPn3ZuXMn33zzDTt27KBFixYGjRWv0fDbo0ecjYnhmUaDlVJJFUtLBpQpQ01rawCioqJwdnZmx44dVK9enc6dO1OtWjXWrl2LmZmZMd4SACtWrMDf35+1a9cabUwZGRmZgogsfHpw4sQJevfuzapVq/I92dvLywszMzO8vb0BSExMpG/fvsTHx7Nr1y6jWWj9+vWjWbNmeHl5GWU8GRkZmYLKO+vqNITWrVtz+PBhvvnmm3y1kE6dOsUff/zB7Nmz05+zsrJi165d1KpViw8//JD79+8b5VpyYIuMjMy7gix8elKvXj1Onz7NzJkzmTNnjtH33ZKSkhg4cCDe3t4ULVo0w2sqlYply5bh4eFBkyZNuHbtmkHXevbsGQ8fPqR27doGjSMjIyPzNiALnwE4OTlx7tw5fvvtN0aPHo3OwFqcLzNjxgzc3Nzo3Llzlq8rFArGjBnDvHnzaNOmDcePH9f7WhcuXKB+/fpG6d4uIyMjU9CRhc9AHBwc+Ouvv7hw4QL9+vVDbYTGt4GBgaxZs4bly5e/9tjevXuzY8cO+vbty+bNm/W6np+fn+zmlJGReWeQhc8IFC9enKNHjxIdHU2XLl1ISEjQeyytVouXlxezZs2iTJkyuTqnRYsWnDhxgsmTJzN79uw8u13l/T0ZGZl3CTmq04hoNBq8vLy4ceMGBw8exM7OLvMxOh1nYmJ4mJpKik6HrYkJDWxsKG9hAcCSJUvYu3cvJ06cyHPNzIiICDp27Ejjxo1Zvnx5lt3gAaLUakKSk4nTarFSKGhTpw63Ll6kdOnSeX/TMjIyMm8ZsvAZGSEE48eP5+DBgxw5ciS9mHRkSgorIyJY9uABGiEQgE4IVAoFqULQrFgx+pmZMaJ5c3zPn8fJyUmv68fFxdGjRw/MzMzYunUr1i/yAYUQ/B0by4LwcA4/f46ZQoEC0Op0xKek0LFMGcZWrEjzYsXkItUyMjKFGln48on58+fj7e3NH3/8gZ+tLUNu3UIAyTkEwKhSUiijVnP144+xMzXV+9pqtZqBAwcSHBzM/v370dna0v7qVW4nJZGo05HVLzytOHd5c3OOuLlR8YUFKiMjI1PYkIUvH9mwYQPDTp1C7elJSi7PMVMocDA351K9egaJnxCCadOmse7QIRIXLCBGCDS5+FWrgGImJvz9/vtUf9H4VkZGRqYwIQtfPnL42TPcr14lNY+uQzOFAldra/zq1TOoc3usRkOVkyd5plRCHlIVFEAZMzOuNWiAvQHiKyMjI1MQkaM685FRt2/nWfQAUoXgRlISx6OiDLr+qogIEs3N8yR6AAJ4rlazJDzcoOvLyMjIFERk4csnLsbGEpaSWwdnZuK1WuYZIDw6IVh4/z5JeibVpwjBTxERqI2YlC8jIyNTEJCFL59YGB6eYyBLbjgbE0N4crJe5x6LiiJBqzXo+loh2PfsmUFjyMjIyBQ0ZOHLJ87GxGCorWSmUHAxLk6vcw8/e0acgcIXp9Wy7+lTg8aQkZGRKWhkneEsYzCGig5AQlIS0xYtYkNwMEqlEoVCke3j1dfPtmoFBnSKT+NxaqrBY8jIyMgUJGThyyfMlEowUPzMTE1p8+GHtGjcGCEEOp0OIUS2j5dfv1e8OKFGeB+mStkpICMjU7iQhS+fKGVqylMDC1abmpjQ6YMPaF28eJ7PvX7nDr7h4Qa5WxWAgxG7vMvIyMgUBOTlfD4x2MEBq/9v7+5iokrvOI7/5swMzADjGzIC8iJGQqjuimaNiqbGVNRdTbhotrqaYhoLYmMvmm3qvb3Zpk32pnbBRkNW09SamCZGs4IoaxNSNSHBDVE3u2oUyKzaCqQMzAzM9KKt2fq2MHMGz8N8P5dw5v/8k0n48TznnOdJcbbkcbn0/SRPWH8/GJQvxfFzLEsfsH8ngFmG4EuThsLClGZbPsvSocWL5UkyvFYHAlqS4rZj+V5v0sELAE5F8KXJXI9HuwsKlJXCzivNxcUp9XC4rEy5SQZnjmXpl6WlbFgNYNYh+NLo42XLVJydremea55jWfpDZaWKsrNTGn9PMKh3AgFlJ7Fl2vdyc9WUYvACgBMRfGk0z+vV32pqVOrzTXnm57cs/bqiQj8pKkp5fI9l6dxbb2lFbq78U5z5+SxLy/x+tb/9trJ5ohPALMQm1TNgKBbTL776Sn9+/FiWpPBzO7pYkuLj46qcN08fV1ZqR36+reNH4nH97Msv9advvpFL0thLvnK/ZSmeSOiHBQX6Y1WVcqa5vycAmILgm0HDExP6NBTSJ4ODehSNKpZIKM/t1oa5c3Xvo4/04Y4d2r17d9rG/0cspkPnz+uvHo+ieXmyXC5NJhIKer36+eLFaiwuVpDXFwDMcgSfQ5w5c0ZHjx5VV1dXWsdpaGhQbW2tmg4c0OjkpHLd7pSOPgIA0xB8DhGNRlVeXq7Lly+ruro6LWMkEgkVFRWpu7tbS5cuTcsYAOB0PL3gEFlZWdq/f79aW1vTNsbNmzcVCAQIPQAZjeBzkMbGRp08eVLhcDgt9dvb27V169a01AYAUxB8DlJeXq7169fr9OnTaalP8AEA9/gc5/z58zpy5IiuXbtma91wOKxFixZpYGBAc+bMsbU2AJiEGZ/DbN++XaFQSD09PbbWvXr1qlatWkXoAch4BJ/DuN1uNTU1qaWlxda6LHMCwH+w1OlAoVBI1dXVun//vubadDrC8uXL1dbWpjVr1thSDwBMxYzPgQoLC1VXV6dTp07ZUq+/v1+hUEirV6+2pR4AmIzgc6jm5ma1tLTIjgl5R0eHtmzZIjf7bwIAwedUmzdvVjQaVXd3d8q1Ll68qG3bttnQFQCYj+BzKJfL9WzWl4rJyUldunRJdXV1NnUGAGYj+Bxs3759OnfunJ48eZJ0jZ6eHgWDQZWWltrYGQCYi+BzsAULFqi+vl5tbW1J12hvb2eZEwC+heBzuObmZrW2tir+3OG1U8X7ewDw/wg+h1u3bp1yc3PV2dk57c+OjIyop6dHmzZtSkNnAGAmgs/hUnnIpaurS2vXrlVOTk4aOgMAMxF8Bti7d6+uXLmiwcHBaX2OZU4AeBHBZ4BAIKBdu3bp+PHj0/oc7+8BwIvYq9MQvb292rlzp+7duyePx/Od19+9e1e1tbUaHByUZfH/DQD8D38RDbFy5UqVlJTowoULU7q+o6NDdXV1hB4APIe/igY5ePDglB9yYZkTAF6OpU6DjI2NqbS0VDdu3FBFRcUrr5uYmNDChQt1+/ZtFRYWzmCHAOB8zPgM4vf71dDQoGPHjr32uuvXr2vJkiWEHgC8BMFnmAMHDujEiROKRqOvvIZlTgB4NYLPMFVVVVqxYoXOnj37ymt4fw8AXo3gM9DrdnJ5+vSp+vr6tGHDhhnuCgDMQPAZqL6+Xnfu3NGtW7ee/Sz+32eUOjs7tXHjRvl8vjfVHgA42ne/CQ3HycrK0o8bG3Xos8/UPzKie+PjiiUS8rpcyvb59IM9ezQUi2me1/umWwUAx+F1BsNMxOM6fPeuPhkY0Fg4LPn9L1zjkyTL0t5gUL+vrJTP7Z7xPgHAqQg+g4xPTuq9L77QtZERhadwPp/fslSVk6OumhrNncI2ZwCQCbjHZ4h4IqH3+/r09ymGniSNxeO6NTqq7b29iiZ5kC0AzDYEnyHOPn6sK0NDGptmgEUSCd0cHVXrNI80AoDZiuAzxG8ePNBokrO2cDyu3z18KFa1AYDgM8Kt0VH1hcMp1fhnLKarw8M2dQQA5iL4DPCXR48US/Ee3Wg8rk9DIZs6AgBzEXwGeBiJaCLFGglJA5GIHe0AgNEIPgPEbLo3N8E9PgAg+EywKCvLljoL2ckFAAg+E2yZP195Ke6+kud26738fJs6AgBzEXwGsCP4JOlHBQU2dAMAZiP4DGC5XPqwpER+K7mvK8vl0k8LC9mzEwBE8BmjqbhYC73epL6wgNutX5WV2d4TAJiI4DPEHI9Hn9fUaL7Ho6nO21yS5rjd6qypUVF2djrbAwBjcDqDYfrHx1XX26v+SET/es1L7QG3W/M8HnWsXKmqnJwZ7BAAnI3gM1AikdDloSH99sEDfT48rGyX69nvIomE3snL0+GyMr2bny/3t34HACD4jBeKRPT1+LiGJyYUcLtV4fOpxOd7020BgGMRfACAjMLDLQCAjELwAQAyCsEHAMgoBB8AIKMQfACAjELwAQAyCsEHAMgoBB8AIKMQfACAjELwAQAyCsEHAMgoBB8AIKMQfACAjELwAQAyyr8BMG3x8BFmbeIAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] @@ -293,7 +304,18 @@ "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "louvain = skn.clustering.Louvain(engine = 'python')\n", "louvain.fit(adjacency)" @@ -392,7 +414,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -460,7 +482,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -470,7 +492,7 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 26, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -489,11 +511,22 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 26, "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "BiLouvain(engine='python', algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, verbose=False)" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "bilouvain = skn.clustering.BiLouvain('python')\n", "bilouvain.fit(biadjacency)" @@ -501,7 +534,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -520,7 +553,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -539,9 +572,20 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 29, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "BiLouvain(engine='python', algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, verbose=False)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Graph as undirected (ignoring the bipartite structure)\n", "bilouvain.fit(biadjacency, force_undirected=True)" @@ -549,7 +593,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -568,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -594,7 +638,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -603,7 +647,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -612,7 +656,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -626,7 +670,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -640,7 +684,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -651,7 +695,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -661,7 +705,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -671,7 +715,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -699,7 +743,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -728,7 +772,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -737,7 +781,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 42, "metadata": { "scrolled": true }, @@ -748,7 +792,7 @@ "0.573" ] }, - "execution_count": 45, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -759,7 +803,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -768,7 +812,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -777,7 +821,7 @@ "0.558" ] }, - "execution_count": 47, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -788,7 +832,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -797,7 +841,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -806,7 +850,7 @@ "0.569" ] }, - "execution_count": 49, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -817,7 +861,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -826,7 +870,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -835,7 +879,7 @@ "0.557" ] }, - "execution_count": 51, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } diff --git a/docs/tutorials/hierarchical_clustering.ipynb b/docs/tutorials/hierarchical_clustering.ipynb index b3308125b..1dbe9b581 100644 --- a/docs/tutorials/hierarchical_clustering.ipynb +++ b/docs/tutorials/hierarchical_clustering.ipynb @@ -70,7 +70,18 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Paris(engine='python')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "paris.fit(adjacency)" ] @@ -247,7 +258,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index 538f9c51f..327247b46 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -98,7 +98,18 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pagerank.fit(adjacency)" ] @@ -130,7 +141,7 @@ }, "outputs": [], "source": [ - "from networkx import from_scipy_sparse_matrix, draw" + "from networkx import from_scipy_sparse_matrix, spring_layout, draw" ] }, { @@ -145,6 +156,15 @@ { "cell_type": "code", "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "pos = spring_layout(graph)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -154,7 +174,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -165,7 +185,7 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(graph, node_color = np.log(score), cmap = 'coolwarm')" + "draw(graph, pos, node_color = np.log(score), cmap = 'coolwarm')" ] }, { @@ -177,7 +197,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -186,7 +206,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -197,21 +217,32 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:53.130694Z", "start_time": "2019-07-15T12:29:52.704040Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pagerank.fit(adjacency, personalization)" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -227,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.518668Z", @@ -237,7 +268,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -248,7 +279,7 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(graph, node_color = np.log(score), cmap = 'coolwarm')" + "draw(graph, pos, node_color = np.log(score), cmap = 'coolwarm')" ] }, { @@ -267,7 +298,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.542147Z", @@ -282,7 +313,7 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -301,16 +332,27 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pagerank.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -326,7 +368,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:54.855665Z", @@ -335,12 +377,12 @@ }, "outputs": [], "source": [ - "from networkx import DiGraph, from_scipy_sparse_matrix, draw" + "from networkx import DiGraph, from_scipy_sparse_matrix, spring_layout, draw" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -349,7 +391,16 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "pos = spring_layout(graph)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -359,7 +410,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -370,7 +421,7 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(graph, node_color = np.log(score), cmap = 'coolwarm', labels = names)" + "draw(graph, pos, node_color = np.log(score), cmap = 'coolwarm', labels = names)" ] }, { @@ -382,7 +433,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -391,7 +442,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -402,21 +453,32 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.922265Z", "start_time": "2019-07-15T12:29:58.912169Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pagerank.fit(adjacency, personalization)" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -432,7 +494,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:59.507410Z", @@ -442,7 +504,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -453,7 +515,7 @@ ], "source": [ "# Warning: If the image does not appear, run the cell again.\n", - "draw(graph, node_color = np.log(score + 1e-10), cmap = 'coolwarm', labels = names)" + "draw(graph, pos, node_color = np.log(score + 1e-10), cmap = 'coolwarm', labels = names)" ] }, { @@ -472,7 +534,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 32, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:59.948034Z", @@ -487,7 +549,7 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 28, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -499,7 +561,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.160391Z", @@ -520,21 +582,32 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.418151Z", "start_time": "2019-07-15T12:30:00.409645Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pagerank.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -550,7 +623,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.579524Z", @@ -564,7 +637,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.664046Z", @@ -578,7 +651,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.743915Z", @@ -594,7 +667,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.828186Z", @@ -609,7 +682,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.909582Z", @@ -624,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:01.562315Z", @@ -662,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.084786Z", @@ -676,7 +749,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -687,7 +760,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 44, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:02.531956Z", @@ -695,14 +768,25 @@ }, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pagerank.fit(adjacency, personalization)" ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index a9237f9eb..f693f0e3b 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -104,7 +104,7 @@ def __init__(self, engine: str = 'default', algorithm: Union[str, Optimizer] = ' def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] = 'degree', feature_weights: Union['str', np.ndarray] = 'degree', force_undirected: bool = False, - sorted_cluster: bool = True): + sorted_cluster: bool = True) -> 'BiLouvain': """ Alternates local optimization and aggregation until convergence. @@ -120,6 +120,10 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] If True, maximizes the modularity of the undirected graph instead of the bimodularity. sorted_cluster : If True, sort labels in decreasing order of cluster size. + + Returns + ------- + self: :class: 'BiLouvain' """ biadjacency = check_format(biadjacency) n, p = biadjacency.shape @@ -147,3 +151,5 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] self.labels_ = labels[:n] self.feature_labels_ = labels[n:] self.aggregate_graph_ = louvain.aggregate_graph_ * adjacency.data.sum() + + return self diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 0d9fdcba0..fb801ccde 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -415,8 +415,7 @@ class Louvain(Algorithm): ------- >>> louvain = Louvain('python') >>> adjacency = sparse.identity(3, format='csr') - >>> louvain.fit(adjacency) - >>> louvain.labels_ + >>> louvain.fit(adjacency).labels_ array([0, 1, 2]) References @@ -459,7 +458,7 @@ def __init__(self, engine: str = 'default', algorithm: Union[str, Optimizer] = ' self.shuffle_nodes = shuffle_nodes def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', - in_weights: Union[None, str, np.ndarray] = None, sorted_cluster: bool = True): + in_weights: Union[None, str, np.ndarray] = None, sorted_cluster: bool = True) -> 'Louvain': """ Clustering using chosen Optimizer. @@ -476,6 +475,10 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd If None, taken equal to out-weights. sorted_cluster : If True, sorts labels in decreasing order of cluster size. + + Returns + ------- + self: :class: 'Louvain' """ adjacency = check_format(adjacency) @@ -524,3 +527,5 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd if sorted_cluster: self.labels_ = reindex_clusters(self.labels_) self.aggregate_graph_ = graph.norm_adjacency * adjacency.data.sum() + + return self diff --git a/sknetwork/hierarchy/paris.py b/sknetwork/hierarchy/paris.py index 527785674..3ecc3a688 100644 --- a/sknetwork/hierarchy/paris.py +++ b/sknetwork/hierarchy/paris.py @@ -298,8 +298,7 @@ class Paris(Algorithm): >>> from sknetwork.toy_graphs import house >>> adjacency = house() >>> paris = Paris('python') - >>> paris.fit(adjacency) - >>> paris.dendrogram_ + >>> paris.fit(adjacency).dendrogram_ array([[3. , 2. , 0.33333333, 2. ], [1. , 0. , 0.5 , 2. ], [6. , 4. , 0.625 , 3. ], @@ -327,7 +326,8 @@ def __init__(self, engine: str = 'default'): self.dendrogram_ = None self.engine = check_engine(engine) - def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', reorder: bool = True): + def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'degree', reorder: bool = True) \ + -> 'Paris': """ Agglomerative clustering using the nearest neighbor chain. @@ -339,6 +339,10 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd Node weights used in the linkage. reorder : If True, reorder the dendrogram in increasing order of heights. + + Returns + ------- + self: :class: 'Paris' """ adjacency = check_format(adjacency) @@ -405,6 +409,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd dendrogram = reorder_dendrogram(dendrogram) self.dendrogram_ = dendrogram + return self elif self.engine == 'numba': @@ -417,6 +422,7 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd dendrogram = reorder_dendrogram(dendrogram) self.dendrogram_ = dendrogram + return self else: raise ValueError('Unknown engine.') diff --git a/sknetwork/hierarchy/tests/test_paris.py b/sknetwork/hierarchy/tests/test_paris.py index fac54d77f..77ce2fe4b 100644 --- a/sknetwork/hierarchy/tests/test_paris.py +++ b/sknetwork/hierarchy/tests/test_paris.py @@ -17,14 +17,14 @@ class TestParis(unittest.TestCase): def setUp(self): - self.paris_python = Paris(engine='python') + self.paris_python = Paris('python') self.house_graph = house() self.karate_club_graph = karate_club() if is_numba_available: - self.paris_numba = Paris(engine='numba') + self.paris_numba = Paris('numba') else: with self.assertRaises(ValueError): - Paris(engine='numba') + Paris('numba') def test_unknown_types(self): with self.assertRaises(TypeError): diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 3d7a2328c..93eeaf025 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -74,8 +74,7 @@ class PageRank(Algorithm): >>> from sknetwork.toy_graphs import rock_paper_scissors >>> pagerank = PageRank() >>> adjacency = rock_paper_scissors() - >>> pagerank.fit(adjacency) - >>> np.round(pagerank.score_, 2) + >>> np.round(pagerank.fit(adjacency).score_, 2) array([0.33, 0.33, 0.33]) References @@ -107,7 +106,7 @@ def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: self.diffusion = njit(diffusion, parallel=parallel) def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], - personalization: Union[None, np.ndarray] = None): + personalization: Union[None, np.ndarray] = None) -> 'PageRank': """Standard PageRank via matrix factorization or D-iteration. Parameters @@ -117,6 +116,10 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], personalization : If ``None``, the uniform probability distribution over the nodes is used. Otherwise, the user must provide a non-negative vector. + + Returns + ------- + self: :class: 'PageRank' """ adjacency = check_format(adjacency) if not is_square(adjacency): @@ -160,3 +163,5 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], self.score_ = abs(eigenvector.real) / abs(eigenvector.real).sum() self.score_.reshape((self.score_.shape[0])) + + return self From 1142d2375229f7b297f2afaf3997269353ac038c Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 17 Jul 2019 09:46:38 +0200 Subject: [PATCH 76/92] Parameters Louvain --- sknetwork/clustering/louvain.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index fb801ccde..1e0ce971e 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -444,8 +444,6 @@ def __init__(self, engine: str = 'default', algorithm: Union[str, Optimizer] = ' else: raise TypeError('Algorithm must be \'auto\' or a valid algorithm.') - self.resolution = resolution - self.tol = tol if type(max_agg_iter) != int: raise TypeError('The maximum number of iterations must be an integer.') self.agg_tol = agg_tol From 65ab1985e1df85c43484e9505da625f0c81077e0 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 17 Jul 2019 10:25:20 +0200 Subject: [PATCH 77/92] Test BiLouvain --- sknetwork/clustering/bilouvain.py | 49 +++++++------------- sknetwork/clustering/louvain.py | 4 -- sknetwork/clustering/tests/test_bilouvain.py | 6 +-- sknetwork/clustering/tests/test_louvain.py | 2 +- 4 files changed, 22 insertions(+), 39 deletions(-) diff --git a/sknetwork/clustering/bilouvain.py b/sknetwork/clustering/bilouvain.py index f693f0e3b..21e169528 100644 --- a/sknetwork/clustering/bilouvain.py +++ b/sknetwork/clustering/bilouvain.py @@ -9,14 +9,13 @@ import numpy as np from scipy import sparse from typing import Union, Optional -from sknetwork.clustering.louvain import Louvain, GreedyModularity, Optimizer +from sknetwork.clustering.louvain import Louvain, Optimizer from sknetwork.clustering.postprocessing import reindex_clusters from sknetwork.utils.adjacency_formats import bipartite2undirected, bipartite2directed -from sknetwork.utils.checks import check_probs, check_format, check_engine, check_random_state -from sknetwork.utils.algorithm_base_class import Algorithm +from sknetwork.utils.checks import check_probs, check_format -class BiLouvain(Algorithm): +class BiLouvain(Louvain): """ BiLouvain algorithm for the co-clustering of bipartite graphs. @@ -71,36 +70,24 @@ class BiLouvain(Algorithm): Total number of aggregations performed. aggregate_graph_ : sparse.csr_matrix Aggregated adjacency at the end of the algorithm. - score_ : float - objective function value after fit - n_clusters_ : int - number of clusters after fit + + Example + ------- + >>> from sknetwork.toy_graphs import star_wars_villains + >>> bilouvain = BiLouvain('python') + >>> biadjacency = star_wars_villains() + >>> bilouvain.fit(biadjacency).labels_ + array([1, 1, 0, 0]) + >>> bilouvain.feature_labels_ + array([1, 0, 0]) """ def __init__(self, engine: str = 'default', algorithm: Union[str, Optimizer] = 'default', resolution: float = 1, - tol: float = 1e-3, agg_tol: float = 1e-3, max_agg_iter: int = -1, + tol: float = 1e-3, agg_tol: float = 1e-3, max_agg_iter: int = -1, shuffle_nodes: bool = False, random_state: Optional[Union[np.random.RandomState, int]] = None, verbose: bool = False): - self.random_state = check_random_state(random_state) - if algorithm == 'default': - self.algorithm = GreedyModularity(resolution, tol, engine=check_engine(engine)) - elif isinstance(algorithm, Optimizer): - self.algorithm = algorithm - else: - raise TypeError('Algorithm must be \'auto\' or a valid algorithm.') - self.resolution = resolution - self.tol = tol - self.agg_tol = agg_tol - if type(max_agg_iter) != int: - raise TypeError('The maximum number of iterations must be an integer.') - self.max_agg_iter = max_agg_iter - self.engine = check_engine(engine) - self.verbose = verbose - self.labels_ = None + super().__init__(engine, algorithm, resolution, tol, agg_tol, max_agg_iter, shuffle_nodes, random_state, + verbose) self.feature_labels_ = None - self.iteration_count_ = None - self.aggregate_graph_ = None - self.score_ = None - self.n_clusters_ = None def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] = 'degree', feature_weights: Union['str', np.ndarray] = 'degree', force_undirected: bool = False, @@ -128,7 +115,8 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] biadjacency = check_format(biadjacency) n, p = biadjacency.shape - louvain = Louvain(algorithm=self.algorithm, verbose=self.verbose) + louvain = Louvain(algorithm=self.algorithm, agg_tol=self.agg_tol, max_agg_iter=self.max_agg_iter, + shuffle_nodes=self.shuffle_nodes, random_state=self.random_state, verbose=self.verbose) if force_undirected: adjacency = bipartite2undirected(biadjacency) @@ -143,7 +131,6 @@ def fit(self, biadjacency: sparse.csr_matrix, weights: Union['str', np.ndarray] feat_weights = np.hstack((np.zeros(n), check_probs(feature_weights, biadjacency.T))) louvain.fit(adjacency, samp_weights, feat_weights) - self.n_clusters_ = louvain.n_clusters_ self.iteration_count_ = louvain.iteration_count_ labels = louvain.labels_ if sorted_cluster: diff --git a/sknetwork/clustering/louvain.py b/sknetwork/clustering/louvain.py index 1e0ce971e..6910b9fd0 100644 --- a/sknetwork/clustering/louvain.py +++ b/sknetwork/clustering/louvain.py @@ -404,8 +404,6 @@ class Louvain(Algorithm): ---------- labels_ : np.ndarray Cluster index of each node. - n_clusters_ : int - The number of clusters in the partition. iteration_count_ : int Total number of aggregations performed. aggregate_graph_ : sparse.csr_matrix @@ -450,7 +448,6 @@ def __init__(self, engine: str = 'default', algorithm: Union[str, Optimizer] = ' self.max_agg_iter = max_agg_iter self.verbose = verbose self.labels_ = None - self.n_clusters_ = None self.iteration_count_ = None self.aggregate_graph_ = None self.shuffle_nodes = shuffle_nodes @@ -521,7 +518,6 @@ def fit(self, adjacency: sparse.csr_matrix, weights: Union[str, np.ndarray] = 'd reverse = np.empty(nodes.size, nodes.dtype) reverse[nodes] = np.arange(nodes.size) self.labels_ = self.labels_[reverse] - self.n_clusters_ = len(set(self.labels_)) if sorted_cluster: self.labels_ = reindex_clusters(self.labels_) self.aggregate_graph_ = graph.norm_adjacency * adjacency.data.sum() diff --git a/sknetwork/clustering/tests/test_bilouvain.py b/sknetwork/clustering/tests/test_bilouvain.py index ef9fbf266..cf5c62851 100644 --- a/sknetwork/clustering/tests/test_bilouvain.py +++ b/sknetwork/clustering/tests/test_bilouvain.py @@ -19,7 +19,7 @@ def setUp(self): else: with self.assertRaises(ValueError): BiLouvain(engine='numba') - self.biouvain_null_resolution = BiLouvain(resolution=0., verbose=False) + self.bilouvain_null_resolution = BiLouvain(resolution=0., verbose=False) self.star_wars_graph = star_wars_villains() @@ -34,5 +34,5 @@ def test_star_wars_graph(self): self.bilouvain_numba.fit(self.star_wars_graph) labels = self.bilouvain_numba.labels_ self.assertEqual(labels.shape, (4,)) - self.biouvain_null_resolution.fit(self.star_wars_graph) - self.assertEqual(self.biouvain_null_resolution.n_clusters_, 1) + self.bilouvain_null_resolution.fit(self.star_wars_graph) + self.assertEqual(len(set(self.bilouvain_null_resolution.labels_)), 1) diff --git a/sknetwork/clustering/tests/test_louvain.py b/sknetwork/clustering/tests/test_louvain.py index 18c2ac22d..5ddeb1c43 100644 --- a/sknetwork/clustering/tests/test_louvain.py +++ b/sknetwork/clustering/tests/test_louvain.py @@ -59,7 +59,7 @@ def test_undirected(self): self.louvain_null_resolution.fit(self.karate_club_graph) labels = self.louvain_null_resolution.labels_ self.assertEqual(labels.shape, (34,)) - self.assertEqual(self.louvain_null_resolution.n_clusters_, 1) + self.assertEqual(len(set(self.louvain_null_resolution.labels_)), 1) def test_directed(self): self.louvain.fit(self.painters_graph) From db1c2813253681243387f45ad83e9decc54065f8 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 17 Jul 2019 10:31:54 +0200 Subject: [PATCH 78/92] Docs format --- sknetwork/linalg/sparse_lowrank.py | 29 ++++++++++++++++------------- 1 file changed, 16 insertions(+), 13 deletions(-) diff --git a/sknetwork/linalg/sparse_lowrank.py b/sknetwork/linalg/sparse_lowrank.py index 8f12bc142..5cec9ee3b 100644 --- a/sknetwork/linalg/sparse_lowrank.py +++ b/sknetwork/linalg/sparse_lowrank.py @@ -20,9 +20,9 @@ class SparseLR(LinearOperator): Parameters ---------- sparse_mat: scipy.spmatrix - sparse component. Is converted to csr format automatically. + Sparse component. Is converted to csr format automatically. low_rank_tuples: list - list of tuple of arrays representing the low rank components [(x1, y1), (x2, y2),...]. + List of tuple of arrays representing the low rank components [(x1, y1), (x2, y2),...]. Each low rank component is of the form :math:`xy^T`. """ @@ -52,16 +52,17 @@ def __sub__(self, other): def __mul__(self, other): return SparseLR(other * self.sparse_mat, [(other * x, y) for (x, y) in self.low_rank_tuples]) - def _matvec(self, matrix): + def _matvec(self, matrix: np.ndarray): """Right dot product with a dense matrix. Parameters ---------- - matrix: np.ndarray + matrix: + Matrix. Returns ------- - the dot product as a dense array + Dot product as a dense array """ prod = self.sparse_mat.dot(matrix) if len(matrix.shape) == 1: @@ -78,7 +79,7 @@ def _transpose(self): Returns ------- - a SparseLR object + SparseLR object """ transposed_sparse = sparse.csr_matrix(self.sparse_mat.T) transposed_tuples = [(y, x) for (x, y) in self.low_rank_tuples] @@ -87,30 +88,32 @@ def _transpose(self): def _adjoint(self): return self.transpose() - def left_sparse_dot(self, matrix): + def left_sparse_dot(self, matrix: sparse.csr_matrix): """Left dot product with a sparse matrix Parameters ---------- - matrix: sparse.csr_matrix + matrix: + Matrix Returns ------- - a SparseLR object + SparseLR object """ return SparseLR(matrix.dot(self.sparse_mat), [(matrix.dot(x), y) for (x, y) in self.low_rank_tuples]) - def right_sparse_dot(self, matrix): + def right_sparse_dot(self, matrix: sparse.csr_matrix): """Right dot product with a sparse matrix Parameters ---------- - matrix: sparse.csr_matrix + matrix: + Matrix Returns ------- - a SparseLR object + SparseLR object """ return SparseLR(self.sparse_mat.dot(matrix), [(x, matrix.T.dot(y)) for (x, y) in self.low_rank_tuples]) @@ -124,7 +127,7 @@ def astype(self, dtype: Union[str, np.dtype]): Returns ------- - a SparseLR object + SparseLR object """ self.sparse_mat = self.sparse_mat.astype(dtype) From c7544fcfdb4561b3fc82964011d9390c8a6eb02a Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 10:59:03 +0200 Subject: [PATCH 79/92] Doc corrections --- sknetwork/clustering/tests/test_louvain.py | 2 +- sknetwork/ranking/pagerank.py | 10 +++++----- sknetwork/toy_graphs/graph_data.py | 9 +++++---- 3 files changed, 11 insertions(+), 10 deletions(-) diff --git a/sknetwork/clustering/tests/test_louvain.py b/sknetwork/clustering/tests/test_louvain.py index 5ddeb1c43..78bec25e3 100644 --- a/sknetwork/clustering/tests/test_louvain.py +++ b/sknetwork/clustering/tests/test_louvain.py @@ -4,7 +4,7 @@ import unittest -from sknetwork.clustering import Louvain, GreedyModularity, modularity +from sknetwork.clustering import Louvain, modularity from sknetwork.toy_graphs import karate_club, bow_tie, painters from scipy.sparse import identity from sknetwork import is_numba_available diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index 93eeaf025..cfa1669f2 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -22,15 +22,15 @@ def diffusion(indptr: np.ndarray, indices: np.ndarray, data: np.ndarray, flow_hi Parameters ---------- indptr : n - index pointer array of the normalized adjacency matrix. + Index pointer array of the normalized adjacency matrix. indices : - index array of the normalized adjacency matrix. + Index array of the normalized adjacency matrix. data : - data array of the normalized adjacency matrix. + Data array of the normalized adjacency matrix. flow_history : - past flow + Past flow current_flow : - current flow + Current flow damping_factor : Damping factor for D-iteration diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index a497a5c53..e7e58605c 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -9,9 +9,10 @@ import numpy as np from scipy import sparse +from typing import Union, Tuple -def miserables(return_labels=False): +def miserables(return_labels=False) -> Union[sparse.csr_matrix, Tuple[sparse.csr_matrix, dict]]: """ Co-occurrence graph of the characters in Les Miserables (by Victor Hugo). @@ -252,7 +253,7 @@ def rock_paper_scissors(): return sparse.csr_matrix(np.array([[0, 1, 0], [0, 0, 1], [1, 0, 0]])) -def star_wars_villains(return_labels: bool = False): +def star_wars_villains(return_labels: bool = False) -> Union[Tuple[sparse.csr_matrix, dict, dict], sparse.csr_matrix]: """ Bipartite graph connecting some Star Wars villains to the movies in which they appear.\n 7 nodes (4 villains, 3 movies), 8 edges @@ -279,7 +280,7 @@ def star_wars_villains(return_labels: bool = False): return biadjacency -def movie_actor(return_labels: bool = False): +def movie_actor(return_labels: bool = False) -> Union[Tuple[sparse.csr_matrix, dict, dict], sparse.csr_matrix]: """ Bipartite graph connecting movies to some actors starring in them.\n 31 nodes (15 movies, 16 actors), 41 edges @@ -362,7 +363,7 @@ def movie_actor(return_labels: bool = False): return biadjacency -def painters(return_labels: bool = False): +def painters(return_labels: bool = False) -> Union[sparse.csr_matrix, Tuple[sparse.csr_matrix, dict]]: """ Directed graph of top painters with links on Wikipedia. From f0a8c4f5223bb8af8954a4bf22dc691e17c18d6b Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 17 Jul 2019 11:21:28 +0200 Subject: [PATCH 80/92] Meta data painters --- sknetwork/toy_graphs/graph_data.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/sknetwork/toy_graphs/graph_data.py b/sknetwork/toy_graphs/graph_data.py index e7e58605c..f25508b11 100644 --- a/sknetwork/toy_graphs/graph_data.py +++ b/sknetwork/toy_graphs/graph_data.py @@ -255,13 +255,14 @@ def rock_paper_scissors(): def star_wars_villains(return_labels: bool = False) -> Union[Tuple[sparse.csr_matrix, dict, dict], sparse.csr_matrix]: """ - Bipartite graph connecting some Star Wars villains to the movies in which they appear.\n + Bipartite graph connecting some Star Wars villains to the movies in which they appear. + 7 nodes (4 villains, 3 movies), 8 edges Parameters ---------- return_labels: bool - whether to return the labels of the nodes as dictionaries. + Whether to return the labels of the nodes as dictionaries. Returns ------- @@ -282,13 +283,14 @@ def star_wars_villains(return_labels: bool = False) -> Union[Tuple[sparse.csr_ma def movie_actor(return_labels: bool = False) -> Union[Tuple[sparse.csr_matrix, dict, dict], sparse.csr_matrix]: """ - Bipartite graph connecting movies to some actors starring in them.\n + Bipartite graph connecting movies to some actors starring in them. + 31 nodes (15 movies, 16 actors), 41 edges Parameters ---------- return_labels: bool - whether to return the labels of the nodes as dictionaries. + Whether to return the labels of the nodes as dictionaries. Returns ------- @@ -365,18 +367,20 @@ def movie_actor(return_labels: bool = False) -> Union[Tuple[sparse.csr_matrix, d def painters(return_labels: bool = False) -> Union[sparse.csr_matrix, Tuple[sparse.csr_matrix, dict]]: """ - Directed graph of top painters with links on Wikipedia. + Directed graph of some famous painters with links on Wikipedia. + + 14 nodes, 50 edges Parameters ---------- return_labels: bool - whether to return the names of the nodes as a dictionary. + Whether to return the names of the nodes as a dictionary. Returns ------- adjacency: sparse.csr_matrix Adjacency matrix of the graph. - labels: dictionary + labels: dict, optional Names of painters. """ indptr = np.array([0, 2, 4, 5, 10, 13, 17, 19, 25, 32, 34, 39, 44, 48, 50]) From a3876e34830ff147c05836fa5e2334d76997b36b Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 11:24:18 +0200 Subject: [PATCH 81/92] Unclickable logo --- docs/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/conf.py b/docs/conf.py index 4ba9fd56b..159a912c8 100755 --- a/docs/conf.py +++ b/docs/conf.py @@ -99,7 +99,7 @@ html_theme_options = { 'logo_only': True } - +html_scaled_image_link = False # Theme options are theme-specific and customize the look and feel of a # theme further. For a list of options available for each theme, see the # documentation. From b1a00aa9eb63de3fd0de51750f3831f3cf7836db Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 11:48:51 +0200 Subject: [PATCH 82/92] Doc layout change --- docs/_templates/layout.html | 10 ++++++++++ images/logo_sknetwork.xml | 2 +- images/logo_sknetwork_long.png | Bin 38523 -> 42132 bytes 3 files changed, 11 insertions(+), 1 deletion(-) create mode 100644 docs/_templates/layout.html diff --git a/docs/_templates/layout.html b/docs/_templates/layout.html new file mode 100644 index 000000000..c5f1414ad --- /dev/null +++ b/docs/_templates/layout.html @@ -0,0 +1,10 @@ +{% extends "!layout.html" %} + {% block footer %} {{ super() }} + + +{% endblock %} diff --git a/images/logo_sknetwork.xml b/images/logo_sknetwork.xml index 75398235e..67982a7c6 100644 --- a/images/logo_sknetwork.xml +++ b/images/logo_sknetwork.xml @@ -1 +1 @@ -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 \ No newline at end of file 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 diff --git a/images/logo_sknetwork_long.png b/images/logo_sknetwork_long.png index eb959b0bc60bed34969358343570698e7ffec6f7..e3bf5cc4c3d6295eefc3b403fe264fb10bf786f7 100644 GIT binary patch literal 42132 zcmagG1yq#X*FMY)Lw66|AuWx>Py$K~Dxfry(j5{*hjd8C00t`3g7nZ0gMxI|DBTVJ z@%?`9`+ooD`Se@sW&yL-eV=po-q*GFx%Rmy2CA(_ginW$fq_BvKwae#1_stD1_po@ z7aRS_i9cr(`WL|Ck(v@l*)YRT3=9Q~2P%qBd;wc|I8Bt}$33=+l%!kDDr3=ePb+Dj zQ2u;cQ3NyMkD0S`JVP*vr`v52$viK7^&BLgUJ^6MLyde&+8FG4a(mfUw&U;O^FHrI zW9#90Ze63tuH5PD?%-^_$NF%fv>F@mSle8^O;BOmQEf>0FRQN1M zTH01Qz?*Qi6Hj~I4`#J@h!QfP;QP`hfbH`@=hYD_>X3V*oZCwM$8W|x;=TMVUGS|RBP(pAFr z@+M9jrRV3vPQ&oou%GUl^U=Y$f4Vvq6#(Z_Jf9L!c!a&oQO{7^MMcL&<@}yRyGtQ$ zUvLK(NT*W>|8zI{bF0W;;6c`uo_h^{2;jVfEc#aTTZ(b|yHW=xi38?#(^rTqMy3Pa z*gwu7TA>@ghJt;@r*%7$t3HY|IIQqy%XQk-+zn(T;HhO$!1_!P_Frc3gaaNNa9`}9 zI%i1aRS|Bx8S%nbS*_1~Uoy9Exk2l;6NVjQOn(UxoFzyMu2qDBatmMR{sdxtd|RYb9McK{lsQO+nMf{8AOu6fb<+y8c83t>yLA0VMXJH8)Q13&RXG` zm0hVmI(R1Hi=QL)xFt5d`~#u-oj(FMNgsXdd#{nP95aI3kWDEuBZuzBUH`H>3$%)U z*Tn`t`u(hb1ndV^B%64CZ}J7F>$4WQA91ZT7?g3R-jw`x!8G*`{)kTnkccwcM}u1* z>AXD~JZKE-9uUU+OR#L2%}mCV4tH(a!4&3#C&wQR{y=?bSitY0?=2rz z`!Grhri`CzsN*g3g5l!+iR~1!e-q7m^W)eSqF&~NsePFr&%cwqP}HZCtNeKome**$ z*I9G^VDa94xWM77SD&O-KA@>IsV8u_`L ze~eGG0ol<^*6*#Z)tKs`UHbFn?OV6y+;lls$RFbiPKE{%{Sq><7niVimtFTTT2UPfJPPB@OAt6I+#ZKNvPj zo+!qrqv(~Umm#XJqjwn-`ZK|Xyur1L40yD<`C-1v!(2{WQrwB^bZiS>n(dEhLo<3) zLYNfp7QGth$6{K5n@gk${U43MBK?~adRheS=P$|&PF0mR$BG9#XqqH2?VW)8;xMN5RMzZ)0$F?CU4Jz&|dK z1sIQqHohg(#hQ}&>{qu~%>wymdYdlhh*Ez=J|^YcyxN*ran2qkb980&i`wWc*9^8fNQ~hyX z(0H`L#!);&w9@XY37JGNAoM8W;-0Dejo$+@O`MRSZ%dI)e@q@B7hH>c2*ZVvU+<60 zTQ2NB3AJ9iLu$^RfL7{orw?>&Ye)>AtnuTm<`M}E^`-wYq@xvt(UF6*qM!PJqyUZgX3qI}51##nKld~g0Di5V_QJOm zIlJ8%Y)7lP7NROPSB3iv5rA&$d{Aw$Dx0xMs{~ zv6_&C%Y2ii%}9QrgiUw3-Bg8(OK_2vbwrtq#@CG@I;pw-gI7+t?%MJzGYr( z(|=JTd>C)hG_BghPpARBqYU}r!JwB@9vq-2`z0gVYgv+6+F-pMtn^2Ux7X1{@gR)o~7 z2h>b03PWiR4c%ivpN%MJTu)!V(z!F|!5f7etzZsBc?c;leTOGQ&W@H=m*o$5Km98{ z6}oX3O^?{WHgTo3?TO)94(GZF-T7Tdh(PVFDS-QomHJolb~+oG(`jmQE2DU``@O4Q zesr8xTYfYc|4L?;{BaSUQ}>VtUMZGdtazFcFw4hNq)jnEZW2Hb%l-rr0oek5Z0&?m1EI zHStTHw9u_{)-zd}p0)PPjnJWsf5Qj*>G#&GQcfn|Y>()@cHT>F=PhY=A$vbEDr1Oc zcU;uP@upsJD-c#<-|Y5SC;5C61aJOAV{A zP{!6FySgfSQ4|!bKnj$~2S074nfBCgqVZ^QHp4R^@lMc%&J&2N{WB?rIFdsZ6Qc&(n}i{2&sor8}PX&4vM zf;b0KVs^qUD3S~!TA;rP+0|;8Y78!jD|p2Yhq8s9jst9FxI21wm+a+(pQ?fX-WilI zqWRP|!0dTU_B?L)LV``25oD^!3)0aW|CISg2>ru1f^8&aCjIi~yl7dks5?wu1ulU* z`^v`E$(LY?NOd@bxJFpN;x4#=S?L@B{~#FaBmhsLV}tstdqT3u`b(bCAl9pWp+`;0 za#{aadr2UWyC}v%DfYCG?{$ES+2zoPJ^@wI$d8+gt{DTfz%Sz&W;ByxdkbTvOj zaIjsR#y^f@nKXJ|iv;hF0Mm4nQMh(6l^*?cOSWJZYseG53mroNdwCphW|h4|IReXy zLzl@y35v05DT#wyf5*o~3>*)tv=)V2Vd5QJuIbkTQl>#sD=`z#WBv*0C!E3lQBl0s zh~_R{b-rejwZIoS56{2Iy#(rl+>1{eh8@77HiP{h>w~mF!hrko__U)%_hY{|`s~WH zR_wE$rw_{v&mz|Jkm-oXVK(j7Sy`jvDlXtY83H4;I&mTDAg1*TVb`KH#G%-9tI#Ac zX_pO!ZF+z+=)pVfqlc*C)sMh9S?E>|Vx;TJA!+RiYJB_f_~E}&*#gLw`8#ohc0@k5 zNqZe&7fZiGZfIk^dO~NI$C+g_$`mNTc=x#qH)zG|{W1X zX%??Ad+?@>5qM@|(A+~g2cEDXu}~`T&ooM!kFj%KIys#ph^mz!@p}dq)@tC=LqSoS z?t%#V!^=fQ2TP&+PQ0(W<)+PozkYnC4^v7%$bNfw3SU#1BW)!7wCAX*h!TeYv z&c%E5UUhR797Vrg-I9zD(@n|3WoK=v;~&{=pl0&-jzV?G?L-$!fMP?KcJUdT_3Kmm96Jj9$e5jS+=VbgI2aH=d}2 zjA;012slsM+4-;9C-CB^P>PlKuIE1Ydj!~N0LSMD~>yaBK_BrNMdXA#SG zDQM5^5vK}^9BBEg{@b5{O!Cp!ta4{-53qp8-p2X}_|QL=D6X`aP4`0WR}NXvkkv2N zH$#f0Gz;EnzUI^586S%aK9f`~BFf?rmccG>jV~nD z(OYc$>1h>!d~9R=Fh#+HG2=m~{@g#tsU!u*7=C@%#PJ->jcSCG<>%b_zR%s#mhdW~ z7OJQY*og~TOVK1GV-b@bLv^51pH<$Zp2E&@(^qLQ`y*(8Llu3zzstI0jT!EawMA&{_bGlpK zsa)uObjRrhIu+#kJ?au7s?X5<8Ggp6A5ZXAXjKTzmgEI2C<2(>pN-xpn>ls3@uSS# zs7pHNc^EuV#}nc55LMu=_TXvlKNOm5a^KpY*w?k(=$)I~cLnMwLfUWGZD$rdO&Tni zLj=vDu$wDw+-^}sK@FkSbjZEWX0w}~Jrjo2`)T=`jUs$Sv>dHG#ps3>!la*QeRjnOzvJx^NYQ|LgF;fg&+N@)JoNV%o@OgCv*;I5I z;<#d1lE2iNBjG%wG`>IopG*8oiVQ3vV2QQDS{2~It_eAw^FU|T=;cdnvC$InR^9?S z%|nhhCxikwiAQ{#9ac+&R5TQtir4ryACO5=Q5iuTuPA^85Uz2SjFOvVXIJo74U)2Ad-YRh|s2{z!Hh_tMEWO&WCRD)en{VdTNb{E4k^1R&%VjF}Pzq z01)r4azPz!w$IC6F82rT*_EfEZe%>*H~15r8WTvc7SY%_#`ho@d7PcZ&d#j#+c5!!=M|AGp)dpDwO*h{Mp z=S+^q`{HzKDz*CXn^2g$q}0ZSPGm9T_gzODx!mBXechYGfx*z^74iFvgf%wQM~-%a z3Iq9SSOZ)4<%GwU@u8>6u9h&1E4f1mj|v2f&`93mSPq>zf>vU| zhg_nYuYMd&r3If!a273yt78P(F})Pb?uJFm^{G+VvhDgIhj}1fYSPwJ00W@ZyC4NF zrc_wy#krb#0V~WU4MLmUatpxR;P|(9ywUY^o#jva7oE{$1FX^V473@pL&kC)va>a( zJtE>${&W7&9pXXTz_OQzX>`#T|D~k;3dgu;<3^4V6&knLD806U#fu59)v)#(4MTVL6^ zjjnM#J=3)seq@HHi4ajRu73Jw*^Djezj92I2O3PnYZT5=>+Me>o_R~Mf+50j@lRem z^$uYtr#@PHte?lKc98a$p30l---6Z-QyG1t!bM=o^AAbmaTn(s1-GQ%R4-mhu6DEV zn8}dPrm$!Rt@8ZaXaA$zsLP?5gnjn@8F$$gcg{?B>2f@+s0{}QoZ29T|W(W|S(|$MHD47>A z`)DJR;a|n=|7J=abiO!0FjjKvdL;gNW26Aa9mh}Jj%48XsTTSXe=8Oq??@>pDoLd= z!9Zx++85ao<9|K`G+q5$tFf2x_ev-ABHr5nAb4?cgf3KMX}+m?qm4DMn&bzOl9iOv z=3f3eiut{}f&^8O>W*qpx7XP1s`27c3zC%|Dqc_ZG$yFw^fg?^DbSTvMNL(nYQdiU(owvW!Zu?c+ zOjDM!y0C#4o(+tF!rnjnH#`03lO(R+7Tb+-I?zQ8GSev>BnNA)cWy@hXTbAGv+tfn7Ki@h4wpPMdV#57v( zVf#5}K5a3p{sX$RI-kiYU-9CR)~${Ilyj}wUt9{MK+~w?Wc+8tFZU>Hrg6k0ruH+? z;>h)9_}XTXv2qze@w^%N15bQ@9*`815Hih_TLab#(<7j<()@^2@qPYX>9SZsr~mSn-eao z$OA8fGFHhM+DsX|kj-J_hJDesBhE~RcV!^?9~}DIr`a48>RPqD?^KECCE^Cg7-)(b z_T~IfN=IN%>44LrMMU-cXS02@Nf3s%Ey#+057tceu`Te%V*4#_=R&eT-P-4WRzCk5 z-Dm|Qo0U1-u#hl4M;hNO1K$pqx^id>;{WvgJ}``QkSWuMCS-f1@@Mn%dK#>y4qi^Za^7`HN4sP`Ot%$R*jI7xM@zA~7lV9VTuN5NnN~A*+>*+}|&6q=WFoi9H z91jWaOe(dan6KZo{>=mpZ0PYpeqR^2wT`- znUTgF_G!131fd!iJ!I;Nuzw0s+WbsZCB3o6^#33kf}f6Dn^slnay$Mp;2_GBe$K-8|gouu=r`{8EgwS6`2 z7#%ujFt>ECL??!z{F>&cLV%BY$#4)gb{8$!#Z_>i&c{Y-Mh4vh*z*?!4NG>~X3`#A z^_1=+x*fC$HvapB1#i$q++zCzb^H{lLE2LQ<&Lx_DCpX~GQ;;s_7Rb9DvwTBlS#bhz^ET@^=SN+>_mPVkHz6B#O8M0SsI8XI8dRx zt8&DiszoR^pgLJ~{q2QbpG(j!!$p3hu5;y03)E34w%%8 zyx-%^hZ~ZOzLi?>Wxdvb{I&#nq#V3a=~;P>@Y8RVN?e(Pt*^vP9aNRfq885a{WgO{ zpSlrNQ+Nv5N!oFisoQhJE@fogMd_4;rOHa((2}g(EK2=9lv+uq0O^dXpHZG#*q3+F zKovpDtN2A8eVSwUsG4m}-pC4-PrTVt3&=<##bEE2{|d=Y5Iyt9&YUwykvlRN>$$58 zK@}neWa+NR*RWZ48TV|{dqn!v0qC4@Ir~64lJG@T>Y_qH*TZVFXBWx~j}^=P>&w&C|Vo9gA?!K-z5zn|UkcuEa_?mKhjeJ?hLT=f|Ot+qX9uZgEY zT^E|VDCI2f9aR&#Z|frobcJk(768pSm*)8LkJRCBtMOjKkKK2^HDNw?j?#{&MAvf)&d3!GPqr`VEYK{o;YgTx;O;sap zgQIal*^lVsQ|52|c-+%-7;;3l+QAUZe(R6#ofa$DrZ!H zSB;Zmm~uJQeIvHXjn++{Hk!2tWyk0~yuU!f89W>p7WTNXM=6y-cE8D&{3V|!NJikS z8{;?!X&*Q~*E_&Hm_=EWOk+hns2$>*>dJoBFX^ILj{W^sWsP9E3D5Bm*bjhmt|`R4 zU@+F3xm73Tyj3-l=Hv7NYBM;x?NRG%-={CfcX;!{@2rQGZX7tE70YpaDOGc;TGv0y zByawd(eR}vbz;Xir>o&8L*4$ay>o_7_{iFXiZ0qhiwKghlQ$Iyn1ojhKcW*49D+BD zna^L3M_?q}!Ooh>IApjp{!X%8*3_4sF2c3eY!QQLx`H8hc`}NEOp5x|WAK$6?M*A# z_U((01Xq565W1K6X@M@^+TBJJczWQKviyKBNKs2QA>Hs{*_V*KzKXjGhy)r6oiLBv z=c*NxlnZ8jH`?bL8he2=X_uLq{*xKGsA`Mn#A4-V)>}f@?H9!>C%jRS(YmP2`>JcSD-7mct#wTPV~*@Os9Z2q^iJ-J31cU zx~%g=bctq#I~g}%BU~zBLcmJ=?4mxRu!!hv0%w6);P?1dcDFuj0Y{fs?{ec`&UimX zVq0?0!p#GqFL`aXF!CnJEBv^Qta!rs9}wX1$LQ5P{*winXH4hEgMfl zObNd=1^R`=yvP)2{nyMp;Pu$nj7iJ$l2@5`Bkv@j3!jV zqsfQz2#7kkV}G>1XAM5$JoCjq>GQaI)*U1K;#bZ}fN&Qgn}Y?wQ0!k^V#FWi5Zy{! zflo#70OK+`#Hxk%i@*9~UCNEhYDf+96+^-ZHUnR|ny#*TPN42hN|FTm9pbWFl!t)W ztIL1{Gv9?EwkIhTK<7N)$Q+y9dp13{*!n(%c7FP?)B?^VPxZT05NQ~Kq?c_hLZoiQ zP1iLc8`DEf1RP$X+oR3vQwSJ=V>2C{uZ@|PQ9;PGq}ylt>!66b2+z#J|+2&e<%3 z?z<0JbPmS7?XJQw-Ca^U!?69JN-Hjw5dyIzY_TNFRWY2E*vsJSIXtAnq7S9cY3woT z@qgCE#vbf2`5fs0ZL_nZ3*CR~WI_+Q!MkmE?OghH*UrcvDhl zW+%7|K*Yz~hGFXxL@ba1Yw7Yy@V}SFvuTJ;r%xRPXc?WP*+wM>cDQAzfXLZ{SCUAg zz*5J&*U6(>uy4MfYvvCuS{cG6JoLqOBLp}|*o{3dG*GKt1+v(_Enq zf~7ED3Qu>!m@e#|h8;thN(~G1Xq4;I2$`KbISISXFysWw@bwY}&}F0CLBP?dnhXnH zMiwqxLG#J9!!7P3sI>|r6hn}lup5FmCjxJFf$lJ&NKvh>Zuz@i#J{$q1N@a5m3%@D zBEK6xx&|>5rYnV=zm&kSx3J>EPYiKq-eXSCI;K~4Bg}A z!BkgVBcfcL++cM*M|>h1YsEWY0?2{;;rGE)v=L@uLzs&lk1Ys4l;VbSAS{z9oSXVt zrJP4P+%|vC4}H?j2ypwcw%i}O+S~ofd>}@@PQl;Tty4LlBzeOWwLNKD@Ur(-gZixf z@~XHnSEc`QM7Z5@i)_+r!Cy9DDNN@9EzrCZhdlt*YLc}oCBcZtEV%FA)VcJu)9cOW zf)8WH^HB#uHKpOS46ntXexf(}Vn5DpH{73sC;$eM{W^cDI**5JRc!3&euaEoSfDJx`9*ZKt%ZW_f=*0RIEbnLmZ<+$ zd!FVc#FH+_pL(@`XwBRW6Ll8}m%PXoZ!=dk3wWp!3`p26gaywN2GU-LioIBZ+wvcs zB44|19oi_Nt8b_+$o2DcW?{PQ2=f59-O^y8I%=5JF~t_`n`NsvqJ@gPl4c51+sG&v z{ATb4;P)^vikBkzSJ?MR?{#=A9nfZUt@n)9-trZcerCmMN<1*;Lfu2nAbUegDz*)L zcMmy_s8E(jHTZ+RHhI4F{SlU++yj{>-7K7#X;BLGI)0E&|7v<5*<>s3;e<@cPPa&S&`>>Cz z(A@IJPYzfqX7));q)TSSqpK$YMklDzl?BEAk8!x+tiiD$8I&$kP=0$*^(OX%RM5s5 zzmd31fPFk614k~=+TeAC2!(ttorEn^5+A%eJY z)e2?oSkU7%G9=a84k`SL4${DllPTBcO3!~x<->QnlN zEr02+Vq`T=nBbQ^olhm=`SJ7LO;kBPuQ;UZc_Q=lQo!>wxe5J3U8te)j77Izeov49 zJx4GM6Pm3!S=w)5H?zopkK`n$eU}V6&x4c9tQ#G2mD7gc=OJj72-TWLl;aVxAN{mD z^ELvr^Ai*dx8wB89P<>nC55C_0VQOEP9j8Dz7mNIf5qAj>sBm?Y{9jLi*8{uX5w+1 zSAqF8BL&yKf6LpubuF+StnPp%RG&mKk(ewrg+`EQfv;N0w%1C>)Ir;emA#jfib!f! zK0o@k#E90BsG9GkQdg^)SA-}(D3gpuxMfM|;s%jL+?hbEM2%|JH#h87kJ3tMPbxcx z1IFngoT_+G%W-$)W#Nlx^0n_y9d69zrE&S5OdhR{!7zPG!Cr{#`qns2V&k%emH-f=zp@+r>)Ee ztfWwg@?__g>$dIsp4`fPkBnG_o#L#PAx>1?H(HVN^Wv^Crc9w0++@o@DD;4fFK+Jx z@5IifbX@X7>m}~6<#J_OC?4BmsGaE9>HVbkwSELQwjAx?wk{N#te6_DO>)EqPSdWB zMC~x>ihnoH2(y?ExaNL!4~gAk-5J7|IN*$=D%3?E+^Y?zN~&9XHfmVNym8*{;LmI~ z^D3)@Ta2K$ILI{Y7GF*pe*TQ-R4z@j@XE^77mvr~>O-v33hBI0X;jemj1+J6N6agq zkk1xS5dyZ6LL{r*>3c=|#@8V*J{A&}%sSVB%@lc(pZ;wlm4fFVxjLA!RzHy&X5wn+ zEYFz1w~UI?WaC6L-33p!ZFTi2J0+yH;@wGbcx0%or8GoS{PA0F;EV#$$O+teq0j4e z0a;gD?}b84!z70JQ=Mz^S`JOuY*0(ssxA@nkak;BA2y1!L7cTjB?Ix2aE;E1%PcaO&U_h; zuT!SZAE>Z+10x6`7R;|4rTVRP*@(I+uzxKM*}%@E$qN{gYQnIo(!VsAgN{Q)^Q5HC zWR4~gsti%0q}m{6dCeG2bJ)GBW(q1}a779gbjN#gk?4+#xe~#aYejpG+pnyOIlKZ` z9fuyWboR*$k&(Vfm?3tmI)or2d`6pc=s|kuH}%|%KDur)#a8767Gs}<%m-!=%^h}xrN0l|D-)2rwO8=35D#+ znZer&AWMgjP|StN1iv;DAMOO#?m?$+lQyV%xQPQz21)4omSlR=(%b7&Ak|`-UPk8f z6i#1>n|9kbAn*VwYtE4lBo%V0Bx=KxWeM?USqWoc{EFxqFmF-7ux7H}|8$1|rJ=$i z0YrJ;gI7rwG6bI|vyT?e?z|7aZ+bQ`oGhuPfm369p&|t*A;dP0uj0lMNOW(qJL-^+ z=7eIwTvP&sn5V^@=7aWp?7qjRw=QisSDdnVKGSH#GD3@@fU$R6l_b)3fjAAO-^B`A zTUBmi3+ooY=B!nhKJ%`LTH&6rISiq8L6&xTMmD|nuse;d_!1w|yjgK8LSZLn=Q5Yg zlgpO@z;Ma@yp}$MYeKv+^r60dX?9At7P zc^7{rU83zd!6ZG26AeP}TvVz{!GRwLJAWwS@~*=)H9sVNZqffa$u%;aYAH-l*qx-t z8vUkZW% zG=E{~)B#y>cMsOy?Po5>R8ZJ;VNSFSr6a;PDFa+z6gth+3jNlb+0Z8-aR`IL_D`3e zCdz?FREy>f_Sy($N3IwZLT53sOWwJYc^(i7<~@;)a=>?4CkDlml}T@lIGUT=vrIFc zwCj%(2`^D>Z^Lt~S^8K2Tgt->z7pY^gm4p(2~I6|P>UZtA_2dVJ$e)%N7|pmhi*nH z&;lbo)(AQF17cKMi3|xN&&?+Vz_*MCd#uxRd$E#bgeV;R?hforz`UjlzV*V`RwVsQ zJ3gk~i~P@x@W929;5}hGWF zLwUoPI>^3$8(f{ABo_ngST-&ho4m~$50^BD9ki`fLR$mxVm>#X7EO<`Fh9jPvm=Y! zP{7T#lJ58A$z$;E3-xlTx_S4(5DN6Lfg6T~?R5X;=fh$=tY^h~|NL@ZXK zPgGsv70{~Gfe9TkWCHq`KLihfo>a)BNsgvCl27u(XF7D9l^HMzr!`6J*i)YGZLosn zfxk{wMaW@RPe6|}7ah+e`llhr17P?|%IQz9oKEOz6ec>Q2Uv#Fc>Mx7+kQBr>UqYf zE}F~R=S7%bNeHe8I9$~)(l3xU&@|X1rkR1Qv6$&ZdW6UB#%_i@>;wdo!I+rhDVezD z3wKdp=sk#9fr9C(BVWLX=97$WY3>K7pss z3Q?sM%Q)_-Oxfxdu(y7W;&B|XsR6m>d#Vx{otLgrtnNl!&(mL2j#O1zN4XHH&M_E8 zd{hUCsAFv4xo9Vb9XQeOJ;RL558u)2Vwn)zAQEAIdHaOZtb}87J;%6FNxH4=(KO;I zZmSqVXq0NXSp7!qh~G90hT9; zV!*D-E*#TF@L6|Ojtic=wqL{sHcjx(j{^>k|$0+1;%W z72v_*&=l9HvH?E8N}``Bq9yW@ReNfK$Fw4JbMqYFZ94r-X<^u{GdP&~Jb2wzxH>3!X@GG|2f}YNopK*$_L|Sb z4mb%j4qbeOj0_S-z!+vOCJH{BcgrK#oU6&EX^xz_N-X$y3qwznH>60;HLEDQ%bRwe z^1f+Pb1l8$d_(kod2d4*T$8z4gTF-x_@w`iI8r#W)=f4j5SKzLR)l4wj-$U%ZSpJ8 zuhlJINL6mZAk$&c&%0)G)*bux6m;9RKtx?H4EMxA64l8Q^2~Ef_aXy(#t6%Ec@tel z?-j9>I7Y9Of#K5O3kJ$izXTD6H8%Zo>N;wO}FWA-hD}pk9 z^yOp-zNKfoarQf;s{ABE0+dvc?&ysbHlM)S08L=!t-n>EJ3tr=OEd@&we;eUsY?SO zBpaa;5u)XFJ$`-~P)x;vLha#qRm4q>VL19D_BMF6;7`Vvy=NPl3T)&C_!;& z<#RbzF7DpKJK|rGKPZPb3^1bn;ii@g3_Wg-CY#;%4u3siXn9jcyd~T6@~fXhk7=j2 zmANi@w?T^7?>DeHC4x@L0Qyx7K^w$jMgd@W8az>vSbA!K>|PGx zU6_>ON>&|ndpikRfS<1rksXQDP)$>I>uz?aBYjosFG#|N;3VJrr>ZAw^KjU8EX{gO zNJ-*OqI7OI+Jx%(Z4oXfelK2sU&`!KPWX;+tg8_tAB02+38|n))F zB5s)#9-;BXvEaODB={-AvFzwIiMLLKH_pK1G9iAi!8GG!0t|IQAHZ+IsnNx;b(O)# z#j6M^Vy&PU#FjRFJmpu+ZiRfUBigK93OHBV2;ycSkb%oFZ|APR4N3P~ga|#{THv>K z(6AhL44Dde1JM&m{FcHUys{(`$;Sp0G!s zUqOy&=>fw>UsCcXqjJ+SsHJ-+lc_9RbS!f$hP;l=7xhW}G^@;S%L$cXlEU2&TugVZ zi9Q~>0MQA3B3Fw^A8gRXxHTOmZuRtrR@vz7yEFZ9d2<@BlADD`Vb}}OA0GU+R(m6k zz<+-iz;lhOCgy%gsoC&U4xcvpwSFvWOF-R4&;t^B&5JImKv0|ZY{_x%Zf@6lz%Kv2 zQ||ZUvmb`p4q@KZS&{=Uk_(9L6S5|Lg_cE#LMF%?N<{0{o)6DbJLSE7-@LI(Pc1u? zpX=cIHH?#uR6Ilwz^8r~RxgTtCl9TQ^)E$(TNI-~P%O@MyG5o0jH~NCKx)lLWx^cD zRc29X(h2rWM)zS8B6eKkF$3yy4CRyVVe|}@q)BvD8_Axqx)du++f==D4ikB$pb45! zgfj^eAil^y-iML|#odSP>73Ps=^D|3bc~T)^NS)-D$lK6{~~${7j+7pidK2W8PoRl zid^ZXLLpD}RNf;|LtrkzPi~B@wi18KHTMc%OtEysd7&b5!xNP+3b5yMQ|W4}iOy#|kFt2maCZnDYM zhMWQA_bTR%xqamWPGhyJc#8}cW}W8YMhoqh5#?Ad*-aBROr2g=Inw;fY)Kd)F7caI zh!yiA&H~yQB8MFpVRNda4Tz;i!=9At7wZf}+td7R1p%PErVN&Gn*sCvc;(UqH zI#n=w#w4X6HzB`DZGuiiKX+mt>{-yG451D`u}n2WW=MWSVouHwTI+k?IelW>5~@LR zR#g`ZF-@U8^+RZMzc~!vzC}8pJj0V!L>7@VPP0^-|oT_Jg-VGT@i8c*Sz6U46d%{Uwe3j7Tw=!P10yb9fWv2 zU6Px*fDW%dR6(|S9CRQ^UymqF%_yZMHlR{V7RkdNdSiWh?W*Zs${mx4Abny@m9$G_ zw9&QkvMZY(_+~AxuDkmhUYDj3=a-Wacw){VztnW!v%9{(r0mluj@1iIUx8^Sx2C&0 zU45PemZqx0nAvzTvCTDxI~pycms&r&;R}9_i@q}CYXxDEF@4|4u}j`4U>NK4OhEiG z+8tD3TLc3uoyuS0tHYNry005@A2QKax& zJZ2qsgd&!U#(yk7+era)Yu6aoDFfZlx?5>w$?Pr}Ke!z9UX{JDBYsVNW= zns3;)7)N^i;6qm6{6t}4Alw4yneJf`ERgz)p!Mf%s5e|r*MR>ri>u-#?(T%@#_N-3 z2a=67LI=UJ;I+k$F2Nw*2kR>cnI@|^;gN@AQ(Wv17|9XmZStr)B{P-B#0Pr?>pWny zsGb;f;Be0|DT<<9V&v$>QItL8h_T2T{ZhH2y25D+MOC-NdAyl~qjPA(+yvRES@*|+yr zATF128mWYN+P2Y|j=&wo9=QAtV7*c|8l`o$gHmcQNm<0L+`>gMCpR#A4>8j|^|47s zonxeuNX{;k!PN4L+vNAnWqnk%uvY7-Wq&w8umD>yi{wnn(UuUTz$B88;F`Jjq{4(? zx<`DMlMR`P5Q&FfTy$ykjY|@vgcqU`$DLEyNYHYqJo1uJth6cm#MPvY!}>!sZvkVn zNtV`K0AaAN79D{}N0%1%ici-*WQwyO<@XUQ1VM-avOsp1(=ybL-*)VCy17h(>YPP) zcGG?!o8oP={?Mfw!4lzUI(4K~2Ms__(VVmSGukK~P=vc_?EX!8>%<`0+RE0MzF@88 zvodV?ip1(ym9sy;y{q9$70*zpOkzahI6GPJU`g1Rmy%6kQct!JIL%_bBp4fLJ`!7% zAzVucd&gEn2qULra0sB-XDXTTI(@l%&i>U+Nsadn7x3U5piKk%wA+!rm3p`Os+?u! z4wdJ29;yZ&i2h2G0q+?D)>v9jQSqLB?r0UaI$-K^*mT|9tU9tJ9 zl_Id8Yub4$u>qW^^Kdr(FdNXLsi1st5%9};+pFI}BT zJZ(1NVHYf2gZYszVZ3KFFBF&@Yn7YzNiLYmk&#l8QF5mJ=NF6#1?Bymc1BL*2){Oi z_#OpGw--yGHx4#U1RR{P!MI~g0Am`Ml9@EEz>1dl(+3<8VLjljRbdhch}(VuEE_sjk|{6?(Xg!^1c5U z=dQ=-zNqS5t7_F+b3XgdXe0 zN68@rNu$3nprG+G<(_A<-M9fX=#ziGqbVz4m?Oc(-dbSr^e1n}HMP1_Cw)|`H<)zt zjOfaJxDMrx-IV-&hqC@kuQDkJr78ysp{(yiw8AWuyTQ7=M0sreZ6E(r>F0sJ`!oS; zObk8L*vW-yp`%lkH7YUP4~n6h@lb$k^x;Adk@e$n;KD?ZcQ+<2^&Rnp>LF*_H>j(U zdmeHw-A&Pps<=uPlYF?$PSgR?q;af|SX$~e6w-2NhjDDuHzl~&{qVV6sr+mBkHL9a z7||Zpf+)FTN)k5=Jx?HoiNQ%Gjfg{gU<6j(5k7rB+Ptn<(3?hQBDY=OdT z9?fd_)=4Tf^gW9OE(KR)>d^=~OIQrzsoJhh%!D9j@DK8isL&3ETv8e3SLh<#hv^8p zTBH+k13(syuIA200_17YlRHIH4^1kAe~fqJN%5}veZ9mfEhqXTePLnJp{E119f*a7 z1Fx+z0{i`ITfik#Y$C%)KlK{A2&d6bft){kJhyW{LmsO>O7~97ybf1b>^6zY_u->SMXb>6Oz$m`cg^Q9?pQe4 z!K&kg_rUP|70km={*#qoQmyA`>(#_smy@i%!;RNiY!-|nLqzvBWqOJReD6|+%Z#cC zl%Zdj@G#9R*KOPRQTI<4Ji`YGW6nTfs^3?P1T)?PLm}MT*macmQ||uNIOM~|uc_Va z6Jc32`|w9s?1+c^ZZpR0EkOeAfosD?qNyYOFeI|F%qTm$AtWzG^ii;ah2#{A07X-> z_3HPCHNzqo+Vj55!Zjxv#U6#9XK|D=x7 z%2(z<&&jFyGQZls#xUUSvw3r=nfv{%dBjTQx`;V4b30YzzFLCCJH0lO z0_{E?-v<2`QSXBVT_XDs@#S!#;+-1xrM|%MwZW_O1V)qaLA*_p)t^C3Z>fH7oj+-) zIq#npn#})jEuh|uRTc>yxJID@*K2vxdtj?%+BpuZzsao%+cEAt(m`Fpku?XtA?0DV%j_QtW1(yJI*LZ3ek) zj1B?>k6m536VaUuUD4kQQXwWj!E8&4xZ2w%1U_j0q4wU6mmB_1(@#s~=aa*}ea~SR zXUl6U#bA0}olqD&A6wn~Cs|$M^f1hkG&vRiNF71Q_IT@lBmSmc1|0G@Qs}M%XV_(` z-W)>kLY-^qwRDs9dup(i5oKra%=g6zWWP2a>0RFvjnhuys7~&8?Tqm7g5iXVz0Ta@ zePBLCLB-nAGAF>B93gXUL2oNE^#D=eu(~)?WvspUtW+Gk?~CB|fhXrya!sZk9favN!2Qzqk<>%_HvbV*@p+A~=2Zyze ze10BMwO5Wga*_nmx+XWVbJ`etWgOgv{>5zs_iA2rT}<-9vqagB51>lUYW^txUinP` zQ6B@Ffyucq0})2^^)svmRIchXW68@Rsh?x^{O1Wp2hFF*L3wV1A3y5<^11&9){_tF zI#Zs0q3}MUcKm$xrgzX=7TjbsLhR4Lr0G~AgMQx6W2wU`xB2YdzfLOr9Kvv3$}^Be zPqy8}lorxbph>C8RLBMel5KEckmBd5dI%0M?)*)3=b34%M-e9HjE~+`ThIADI!Fa! zU{aDVrKEMHZM7L1=%1tb5qG#eemVA9eBws(_!z)FHU;9$+$f319yAH~JcIa0|^h1(F& z1t?#Ntlu#yUllc@LqyRa1%Wr94Fg@dZ<$UfL+y>qhUewx3$>uuVV%TWpZtt$~mV?GE2bG`w zaLj@M=E5%Gx-S8SQns}AsqKu)N} zT0`)LBs8cTOLajI&u<0qkn6Uhk3_x>!t%evd`vg51|_s5LJPBcDQ z>}I-}SH&NHWMhy*sRSC-r-Bgs7xT{3Dx81${l{ZxEqeOp*2-nSf=2anli_4tQm&A| z*%C}FCf)WitsCjRQt_}YI8|77TMUn~+9RG)LO9^eD9auJ=Cs#6e{0a)!ffG6Ak(4B za7I_`u3|-6%j7lWmxgk|$~7K`jm+pfRsnT{yQGUkf{%9>~tQ(vBUa~6a{NN6Vg$|%~QVY+Sy z(H%OWj$YX@vksphcE%F(aFHgi$G^~TM$y2gp?&$r=r78W&8@E!@a33f9djx{ahZgd z>VKL`)Wog<5rkyg!DjAbWrNQ7D%GjorKsl^V%Db3mLkbkr<`TJ?zxeg$HGYmojT%^ zcyq*~EJa$BX{z4l;@GuDMIz#5l&?B$5u$f4tWR)DY=e|B%5}!Xk~u>44h)no6~rtr zFoR~AC%U7Q-HHLyHfkTv(K>c3R-Dcj*o;wCt0x{0}}l!n#;Og&`He&XrQr}mh*jRP{YK~1WL$By%EJGg$L$&C&l(PK zH--~dOGS`x3+b>w56vUFyZb6jfkk^Bq{F^gHJ@!C_>RL-#mh<>`motd;SJmwRY`on znH*F(j42XdV~Euu(}*S9g%-vN`p{w}?e6iWc&QV99?c&*etxd>fj4T|Z3*>3zUOsx z_W7LAU8vVG(_efb5F+9U{M+%0F8w$+M zrXq-u;;{ZYj}t-y~_i&Bpl zvs@p*L+mPcEdgAHvD#CiarN%13&V~OAc@Iknnw~~y-XhQCxHeroOF^HD^uwMaAq!& zh^zLqRW>ape&?R}35%P0@g=^?vmqJq@@JnuvLZ#rqmao#?jkD2lE^VfyvKt9>eatg&D&pVM3EOS{Y@)s=-&m9dI9 zX|zHj7N}V3bJ@tL=~u7*_eHRh3f*~eq4OrHWa!dd1?4HXaTh@?$vSD7~2jrMyz!nx-Ib&hKuYeCE4Er{B zX)3K+k9v)@`!BpPgrxth(QsmVX)Hm?D$vss5a@~E5IKT-wQt;!&RC5s(D<><&QCWpVl*q#q0Z@glsi9Y^ZEzJ&+#n!kWJ! z7X&~&$-`_v<|fMIXuuQO2r0EpHrC;`5;EcHGr_It!2QxF8pyQDhiUa1pV10*w8_^g zaaf1`4AuJM53fB7A8LBgeC#6chv1&$1&ot3pG#;D)0hIxN@km%PPGaH$^(K#KHExj zBU}8E=DlNd&5y3M13RdE=-B^f(({C_2&6g(h~T{!D-d|@{o;k-nEj)YI%(#~nuZHI2R*hp%m8x`5&U|L zBz|_!Jx^bH%>E*yJqO5nh8i+c%xjyXOwa2J-MkoKcw1BdBj2wUg`EE`Nok~d-U(wN z4RiikV_k{AN=dsQrlRB{9wdnu;4xz*AEEMQRp{N2_s7L|E-7iQbtAiVzUDD{V>0AC z%3C4-`$hJY#j)5s${{mwJJI3|`qB^-D~d~F_?p|jwK599)vES!A1$H@yzIAd9mEES zj`xXgSz!Ac1Pb^Xz}!N@4ZP1fLK=?|L7uFCdgk@a9yLVmB8jS}YVrpsu#y~it=As( z*#y`MiysK zy9B42?MyP`#D23>edccx9_ml&W;&dW4;-stHa&-Es8?=!+(HBU)EMOtOD=fqIUA;l;*0k_(Apc{L<9s+S78RnsR1Dc-TTDdH zAjd+3j>XuL4j#@htSvN7NkSIwFW#;?SQVAY? zJEz7sr6I8MWtuIP`rKz$degdqlubjstqIdb7LYe7u z=<^>W;95v~KJWnuPrzRut-RUOj}Sz}5skS7q3Hw}d~ulWM2Rn$gxnp?oD(#xc;`v? zfT8RK|Hm^~B+(Q6QK`+9&d6+;1tgV!tx(|igslx^{X+d}H>UjWgtH@?i>!SF0N6F9Z(jr`*CTnIi^O7zBM)t(-4lUYa$1f=_J6-u2%9a*$FTwB~=# zEjblgsdpU?caoll`1+aDM2fpBgGDZM9FJVA7X6_2HAmA8u}`O!u7TVSbn#Vf86Bz$ z^sr;4k^Og<4`c<3vb%5;_R5BRC+55xc`|9Jto3E12I#}vZ8&mFWPK8G^AZYkEQMTV zg0pOqdUU>cRx#_OTE6`OJ^kHp^wUbL2`rL#hKZR>kwswF&W{5SQ~01_ zKn2y|8?4-DM&=0Jm|JS@=+;Z84S&Peq+GR}wljKxY)hO6U|!iP{&|zvofog!bni6% zl+izqg4NmgVlD_-xH7h$nt>tZJZE`o+3{uAW~AVc`o$B;O-@Xrn=cvI7J0SKD5HN~ zIA7QU%URG!e{4yj#Lvqow;nsWly`lJc5xKL|Jt75h29l>?N-#0TyG4Y`)kWG@HzkQ z7Vwhi;LDV8o;l{7KH|tZUiY^v(m4Dn1yNL_VZpBs{VYgokl}^99 z?_cer-ymP2L>< z3G0g~utlGM-%n-y?rNTx`;$JatgqOH%1Vy6@~eaL%rwzQGB-Ez9hF*{RJg z)hxrStr^~0?W5tf%sxz4HMF<#0;IM(9 z@WxjB0oQ74jrPJe&IJ&_B1DHEw$Ne!{sJ`R{4$buRW5?!=RhcWya>%=PDXGd7zuJg zLbpVSIxv|*E&5&<-UZBDrWVV9*(S8wR+Q~HOvmsaRNW%jt$_WHNCRwxw^OMstkC-y zk~j$>WTZ1#{Bgf`frfUueW(3cH8SwQ<=lq}w=y|hpEFSV=qkMf$!i}!#;30`OY8-Q zeZtZ^XRuJoQUQzGW`_GCm1XjT<^eCDzuNuM^Qy&Nc!LKMe{R$fN*yg03iYX266?vw zul0dJ9^z*wn5ZegYg4X3QZNofQ>(WVpg8(T*G%mPihF;#6){s)dq=v#IOxnB4{%>d zE?@{5AqG<8A64eW!>9>&>(=%)fy04l&~6ji;f}3&8oS@#kq=*Uy^^LBc_6lcp-^Q1 zH$e}0FYA+~k&mH)pnK3Z-lu9~ty!xsue;1ql-j(K!q>Y#%m8$UJ_&DO0Q6TZx&+}6 z>&%)>sV*ZaBO}dnsdz~DXlKSk#-+?QV2%h>D=}jbN-xE&jNa$;HC%74S=jt<#8F-; z;(lT1y;YH2HZ%$TfGaiQWOfr26y^HQ^LYNf2!mfM8)Z&uQGxpppKdG;xE30)Za8RQ zJ#uS5ZlIwC^Z>vLC{I32@FB`0D3 z0ns3#05M&`{X1lDos~pFFJap`t#4b%1CCbPf}K`y_l3e|#yF|> zWP)*}8h#!CFVEG8ywEEa7Bj|CHT>`XzYC+hA7(y++c>1_ed7ouH1T{L=c@%h{tWe0 z`S;zok;Q29=%r=0nLYSD7`5--Hv|P4yJvr6cCSd7fczeV){a z`+<=vn_btFiIc)Z0j>cIzXTQFOAE&S(W#F#nQ%%$gu&f3B#&gw-FC!P`2Xh8CkgTT zjyPk|+5ilB=unj<+xV!9^8|h*Df6N&(H-S_C%rh*=XAKOHZR`F(}7g#pLY1W{Idl3 zx}9^&r7*TfEp9nwpF0j=0@r=k5?M-^u+V4M_TaX<`bdJ5im2djfSu3a`D7Ai>V!+k zBIgf#kDcHn@=H9-C1GsHUoUUJV`&-jTv|vXY=sV;=?0?L4;`9Q>W|!J;C+B5VlXkh zH`<8*N4Kl{3>PNJA=ie{QWHN>@XN)w4b7OxbQ8mkm%t)?Bp=-<|EXXY7bDUCGDbW= z0^<19Da}W=AJrvK9^x{XYGRMlgcDhvY|C&~I2I^Z!wY!}-su)*R)1>W>MdvT!Fyr+T#n6S(9Wof-o=O29B`mwT6EF0oTlEv&VE%=>j-RIT>^;oNFS zFY=<&KB>$}_;!Zo38tYzA^=c&;ZmI7=?O+#DpMx-kX=g6YGgc8ciMX~m}uK`LTWWp zc5Jm3iw@`C4ZI#z{zk#SG-ccMJg;e>O+@eGuc=&BC6O+c5(5tCTdc-&KV*T7R>+ZE zRkjHqvjL4d@tn3N(V;R!5>j7Yfy}KBfV_@xcn8UL_UJSzT{XxKDVBookh1Fz@IuY% zYms$FQC@S^CuFfakeQuY+w9@DJMKbSX>L%v|66LIKwdz$E+eyQ%P<#=GlvWq9^>_U zGQxsz=DlSFA+jE*FeV|K0aux?XHDXAODW~F1~tg2 z??q-U5<;rnHiH@eF7G~YT0e_~2t^zx#n(GDp2o^f%!Cc7j`!(?TA586Lo8Uit~+Sxmw_vOKp z07euGWs=NJmg--hKer0L!+OO7G!`2QT!K@Jvi8su_;Jb@>tp8DcoV`hxAkrlDz5je zi9=*<)Zt6XuQ!Eku1#Nv-9+7{B^zct2f4*5V>RD1k310d5K}9dR*nuh=-kUI4FMM8 zaHrK?bRRS)vo{@&X72k5RAg_D*0Ig=LlQFI`ama|3-it7V{?GF5G&zckb=jO|DzTS~SgE zr^}^Gl-HHcs-jL42bJdS2aIhX#f+6YbduZVk*>y-|B2&m@~3#;4ztnVWsDWp?beeQgIxO48j$m7mm#igEwIZ`BtQe>IUinu67q>*H}zONAb z$0#MozypG9z7+r8o;NiksbypTc3dD2K&vU{6`W*cZv4$fyek}HfJiHPN7+rT$e#v^k$v(}oosIpNl&DawRa|~~P zrZubV2|cAN?5|>PP~3R)vs+jL|JGvi2XJkex7d@j#Oq(hfsng1H}nVr#vNa*nc-KO z8z&ASz3EsEgiyQaze(@~ahM1?2ArLsPE%uI`}e_ZXnDgYp@e>HkNVdqa3>=L|HB^v zAwG~hkCRNg@bV3caUh)XBgSrNrv^bOfLIhAGk$D{HB5E+IJl$T4vgEXu!eY)8iY~q z$75Q?g_gOViMw9;XJAjb;>gx!aUbjA0rxAz`E4?6;I4OD+}_DCKHt3+!C*^XCtH#Z zV85p^h1~9(na9@`+h1EXq3XXo>&yG4vNj`a;0IdMZ`-8%@~>07k0zQM+<;r}jM94` z$XIGLJij3*;-fS_|^(z0Lv@=BkCFrXrF`$k~xg&;Q_uPh3}!cTaX9!O)>v} zZINGi)fgDdG!D**+qjH=6!w$gE=0cn4pRpDFh&}3F+rVguq}sY3@uyGrsa=Ywgb0wnHf z)_91$rZ()<>|J~1xx?meI<}bLB#F^`39C{`6oIDuGIjYQEOPcP4HMBGOR*@R^FU8H zaIzg(nH;W;(9{#YJ5J-hh)F1@dz%;vq=MfN*j@6@#J!EOhjPm0a(y1Rhx=~_`E7}OSf@Fw^zswse3SW3yV64{A{I%1*6Z@BKPu{fB$B5@L!Lzt= z_txwRB7KzCIiPv+ii!FylD&TU2>?|x2<0YJ*yjXK**{8?raQz+nMOY+zi#?1KfcCN zQ*V#=g{daL(;G&(t;SR|jUzI?H=_bMIcR^}ek2Dof_iqg&;-$LVr6cKW7S zFHr!}$o#IIa0tMxfZ}_RPUr8?F2-!y&}^>O(%3@o4_Y{}Y(XCZ(g}1Gxt( z(K2Wu`^Shs!60ixGkU2Xnz$dD^-p1N;vWLb9cl@^2a}t1O9{Q^isA5&fbsi8c#>=^ zWBv>7fxO0e)9p%Cy7f2ehF(=XL&VRsB(%RBgisVPJ-x`$Vv|??#KgTZD3R)?As}$n zKklkO1zcvZ^m;_@R=HiY6~@0uf&y7J`;VviP1v6`nCS}q*Lt8v-@#z(4vgHfM8<~xyVpH+*iC=~4T-d2K9sH1R5_u?SO7AZ#~ zap-Tr!5>P4B8|9L71swPbkW^sn54%wsjni~45px|wdpA}-5`TPv@bPOe*ROFHSTau zO|{lSHCw`Se*)?CdP1+7bkcWRtKXSU z8A`sVAAD*WVkR9l5rk&{agi?z)+TjUKq23zdNK#11%_s>P@o+E7Av}Z152rnz&~x5 zE7|He9Kmuhem(6m961^Lf~8)050BHOB`!;mojU2QBH8I#VI!Ei=gR=yCf4u8|kkhVjH6J zOr2eN*&INAyTXl9+0}Qxr)`H=;U_w45+x_{gzkfczh~;Va!NEUc1HNy$Gbv$;T*QZU}xmNS@b^0;~xou8RR&}Hm=D1Zb zvQNxbOoeYgV|hLjir9LOYZWk`U8<*`WI`sN4ZERObN#AF_mx%vmSq zvBTs!VLlRf)K%bR7k|%oW67D6Bf{35F^P5088>Z`%I?`%c!P- zoF!now65AVe&87xm&K9VN&sR&)<);U8eEp0vfw5&zfc##`O?MP)A)=W2;yW@w+Mb$ zD;7J1@vepkc=i9o?!_VjwAOkY%-JSL)>!dn@AoK|dhzdqMQvb=CjG%tr>mcr>#h{e zz3XQg+?$7?1Ao{7)fhFm=MqC!*eJ51?N4MbHaW?Kll`*3gFpRz3-?wfCP$X@KYo^I zGLnEUL!%+EG*ueMV6dmeXh+zWcx-WJ$%vBXWX}|yT*Tq!;~Xg@{(%4H{@8q|tEHl+ z*x(Y&b`R%BxbTOxqzre8nDZ&qqe=BovB2})vghvsPpeA53x$MF zimcbHUvQC?J2aZZ`?*oYRui9fFd;V_3*len*L2fFpfkShL*gC~D)MTI3gMw!$0f1e zi2A)@cA)f04J{uqwc(U(u`}j?L>Oe*d{fnBsVa}l^!a-`9;+rIY*Ur$hFo=9vgUf+ zb-kWMXUh9%yn(C!(M@;m;eZpDPibLE%;UzeZeTm zB;CY~ztucK)w1n_zn|2%d?IBriS)N;{k%0fVp_$zVcUJoAg>~^o*h>!)n11(X>sw# zw_zkpP{+2wz!9P9$!7z9r`=MMX5fHLTs8yRFaH%WS!T4U)IHvjs`!1j(8-v*>szx6 zHcwITweK+U8T9Ap@Gk6Ux}}pqZ_c8y+A>$su{PtfyT>(uO>bDuI*Y2-Zu{d}eBwQPTiVxS&) z1KOru%kw)J>a~ z?%AbeZhVt>_Q1*;B=Lq;g|FSageWtF0t$Z1&$gjaFftp#5p4|zBw_W3x7ei6EZJ(E?9NNXEEtU8 zuxe)MwsEf#8fK=GSDCp#;iua$O=dDl6My@?ClzCS=!Ld=Wt@Jro>U+k(Dt|B-5>gP zRQ}eA_lt$dywDQ^ZWTf zU5!&I9#`$dwWUv(c}sT)#W%BQhk`a`dM*&Ot1I`DDMDtGdG&dO-w0rD2AQI&B`|7oH`fYf|pCoaoL} z{jDVbJq6l7a_Ns#j^~SLRnR!;{9c~>^_c<9fbo0KVx^<-kMx&TWc%$uF=s1Wk*13l zf7JGLpH7In!hMZvd?5r&{D2yO=Wild+``S%`^MD`6P(S&J_`Ie)+=7I^Qc2VAzm3M z<|ycQtmok?b1XIVo#!xEgrw6vC4P6v+G)dzj-oc z#=4U68QF{Sk4nD(ym3xt(r$m4pAyDzs(iS3C8KDXy)i3> zGmpMH1FmsD!9$MUp^hRds<^^lMunl$wRGBqh~$aONFe+p;mxdkzfn=aa@D8b@Y3pr z4e}377VcChL}l%XzMZXVkLgTv)swyIke;8f$Qx&rWk$$D#^h5+{CsKUQ&razj@rUNpq+Xqz5NcH*EMwdzNkH0=wDWJG?UXPt+n5?li*n;(y7xS;*nR$sV6vD9M z+}1Sa*hHcWWf>+CqqX}_cjG?|Ymu+Q!}m|>@JuR*UygI`Q;A~lTY}*8ZYqCv5D8s` zp?>}Y>8}QTU|Y-5UovAYx;C8c$SHz@-77(=ypu6lEZfdPWMp@uckf2n*(#Q0gUnnc zF;C-CjYTgTC!CYOo+7n(ypc$4plL38CmP~Giro47ngm*&K1?@V;!}zoH90c&-1X@g z%Q`K0a(2RP93fj=Phyvi63t>CR2^{e)hm8s7{G)&7T11+|M`^3p#CNwB7lf_9$*}* zx_((bib7q!26r-3YD4o^!oC9q8{NtDX1oz))gbhE{VPA5;>QO}ek}7_Fp|5SS&)~8cS8tJ z0C3anmdQ8o(dd|z%$fP}TM25oU2~4+t_z0kT$xX5WVI~w@fw%2rIVJQU#jlmu+$K& zv%mXe2}@^ZaKfSIJHM>B0Ob8q=yJpOua@^<8U*?QOi`K|hm;e5x z^g&bb&=DqCaVq*#0AXb-N7z8m0M4{lvhC z-+X0uyV8nRSc7mE3}y8k4)Mx3cId-cn0{aGt*%P${X1d-`A=>}KjGA(R$Nwl1A93p ziq0q3G?<6?c#QaxI_)s#CSRsYW;(tkc!T(T$89lCB-b&9*4kkI8aMF8u?5u_>5$%v zvh=B+@$*&*s()nuwq*Ee!mpD_@06DdQ|DV?uxg@E%%m|rcoWMb@|HOdq}(y?I9=Bt zC9Dts6R-0%P3AWrt(Dm?3k1w+Ve;b`i@emV!J(5z+*BO}zG92-3)MnZCVFIG>BpKp zi+8Cjf1Jw9g_jQSeRikjt2-AZZ4F7+6O-NUr>K&KX3jY&dh_Mh3KlpXJhS9ZG?cv{gvn3(a93yjAKuwK3#srj<#jN0{%Ad2HRUxnR}_6!{!Uo}SXc$MNGImSG$6>i(T QN8GzCJ z!#T~nCYH+y`J`>hbs5uv)oHPuUVc>KOV**Ytiel=hyp&a58wuowQRtj7%l^K?#Po(X+%Pnt75{3q!xToHV;@ev=6Mt`5mPZ-?iPT$zr|A}oK10#+Ux+j z6}{hob+$p!O#Af~w`-V9FrO4|n~*snOV8fk#5cA3R!vi6uiZ3Wx9E&ZdoNqUk8v#& zzkyvb-CEZNPbFOo-I4E|=g0JrLgD#o23teNKYGG=&m0VWhwn zJH3o?{UzSjNMDa5t8Vx5U@{&aZGGlUNq~4=QK0Hni8W%oj$hk@cnsKVcyGvWgOwl` zJja}6NLl`K4qsk3bZ{;ccPeL0X?EXyzktIo=H^APFnXF(^}COFimgx);l4ms=B|&f zQf%F;`l65+8$HUxZ}N4tl=61lY-^eRM-g?nNAcjo0^1y`-%K$sm)9eUUd`nqfhhZZ7D<&O-SHN@U=x5IyF`K8{tDi4gq>kt= zW}nJXD}1?-wvZvo8=h31KJ&ks-Y=eIKyOiLx&3=(jF)ycXYm zu@u7L!H`Mg{>}bb%QU_#Y0aH-o65bC9g#omScx=SW<@?P?mzwMT z8z|0-Dy$K2>Xw3DiYxhqk{9IQ-`CmXp>Va0m{y=z>1aWG{yndc+oGtzEXVb412+oO z*z#t_NhvcA7qf=6rq{Sz^i${Hl~#n64Q1fI)E>zEfur#qBu%K!J-MZEiNngUszpv7 z3;WIXAY)@WVx1KC5nuK6UiosVB?*1*IrQi`y?1$`AAS3q@W68%m$8mE8b1l0N_bak zqd)jPM5GjyDs)jU)oopx7`gTkvvle^<$iw<(tEDV0K(8AQ|HdRd)?VbL2H87(SEaK zD7+IsrJ#_4b3ZJ!D>};LorgH9Yb(uMZPBe(fyX zT9ERhV?d)Jx3tP7aoL&s64G$Gv8pDkukz9>p`ep@T2>+Hc=K^J`bM&FcwlE|JKdEh zI_FEB5xdlM#vF6m_+FjvgS0|_E!eA7C0_N?^vqbwQ0s1Pe{I{o-YH#ojl?HMDMJy< zo-o!Bz0K)NpufpD#Tvo9$n89K6UE8gOR)brglSnNUw!0lieOvWW83#FbM!X&Ly&R@ zW|V3_IK!T;hXp{wzks<=tqJ6H z*Gs4Uu5>)ZfimA;O&qrnLwQ`M^!IoGZ1XB0(f0DAKW%AGvCoANmrvxXmH?3t@`(A5 zF73dwLk%`9*xks~cbGKZbyx3NWAVX%$Dsc~0{L!@El(}w55A-JL1osau3Nlo%MQ1C ze=(2O4@>IdKWM&1bxh!IE}a6Ztb%ckwJuMX&qjp84cb}pMC7EpU118o>T)K6KGku7 z?lJ34w}#%J?BVV;7W7+teaX|CmW}gOhKSBU!Tk$?Q)YF%@N&&d+v+yqlrhX^SwD|z zsln~|!Str_YQd0OoYQO8bf@R6WBY~ou3Hsr1ZIQtV-MfvDvcKQVFDV@j}+hB_ub`( zSN&d(4Ib94#Ondcq6-_l`K4R?&n-sld@gffuiD#Fd$H5kTCgt2TdvL=dEz$({#zBlj6l(@9j9vlb9RE|Ja#-LqxSG!ln{mKtS*71>2$YmDO7dIg44n zLMb}Pes5i|KBOfFQ$pL4aqA%C6Ifw;Hc01pQ!T~uu>bclm9yz=U71Yi-`-8Xw9n+d zbn>o*hC?Vpiq_=zJtXH>nTT&HTeF`#l_TYLH~qHmgGBaTzj1ZoJxLGm#+PH{ByebB zKmHEIdoGIY7v{g?9czCuxQ7XQ-u)Cl99E(g!Q#5=az~ZLRAtQB|9v>s!lvqJF+|EQt=GDyCa%vjxF_G0tR(S ziVE?ino?T6+HbR-`D7iZ*n-SFwLxlg`Q5gyhTkvmrG4}C<|Ee@UZH(q!?|HLj|b-k z>=fqvW!2JyLRZYk&_!c?%;C16*|*$}@I<22O?-HwJKqX|0MWfSN}ZuIJJMT!5uV%} zpPXNQTU!%lOQAS-h(Xk$yKF4!L}5!Sk3y8b%&GRyh*`<$er_-LJD-<~kC}5#Ynzm} zGqBNjAS-xV9Xj!xOx|%I252;suom5-up$nyAgqIl?{~flo8w&L+d`;s7#^c8?1d+h zyD7F{IXp6u6Y|Vm|6Uid^EcjRARE5Uw_qu`jz(gghLxWB)T3~v64-?0S`GfJ(sz`g zc&9#`?`)qxiG3*}({_k&k*w}6lK!rMO-)W6E;%R_Xdv+2IjcrJU&^cdM_+-Yi6)kB zQBLxMsFjB{NICNU*!hBtsWX1MGLYV;`a+lQrDi9tZKeF7W6M-6&bHkmgc-a_yvqIi zmiPLY4Ks&5W<1L0Fl^1-o#$gf@mW&t3!lvbe|iB^kD$O1clU1B`+eKZgY9)u>)^QE z$=|~CM4hk4xiSq=${5FGWi3%gU&03c2j=biS48^f~RX67n=UD=Nn>_Wc% zRlc()0k3__*<*{=RO;kx{}c3(8+)~#*eSKX{jqyBg9biMF-W^pF5O&RfyQH$8*t4od^k8JnvW|H8t%~WA z%%K~Sp0hqrVN7Q`f;%}|G~YjOF8RNIFuQ$?>5{9O?MLtm3f_Dk$~+8gFx7a>-Y%pI z2}?lNbfbS>PHObR_%aVPN9+UH6nqiLm|l57ZfnOhbW6mjtPk4*d|hgeRG0ag@%E)lTj@il8otWTGUHP1Kuy-H z+jd6b@y=!$&Nw5#Z*qq)il@I-Y%B`&w8aeU%ijxI7^Sr0vYf;EI!~>@aA(t5K|!0> z_*q9$p?m1cRNgN;KX+K;ZT7v5MGp}Ue^H?K|E-o$?^~7XF^?}B<1dSi)%_}v#UiUX zrzqUYD-~EbqfERc1%7b__^!#Xe#NvM|6WLWGbEBgv97L$>TO_9SC0W1HXeet*~d zUf;yeA9rfjX)Lc2lg&;T2Skt0hjqI|c2euodX>lt%~JIlW6gn$CQo8>O7y7@ zflsq&;x9KOr58swx)|CovNXKRcSk(;c2t{%hxmnLaBgx}?YwYXtze407gt)B@=}Pk zNI%L892we~&)E!Bl?Zr&YSuH6+_Ew?z|AZvXOWLQo04h2IQM$0dsFa2%&p6raVjDN zTp~YJMtte10S4x>s$kTdThO>a|(jlO5Yn`am_r}Vq+0k8ULiAs+ zxa?KD<8YRKp}muM7q!=rbTC{h#`Zng0U;@RgZz?pHg+b&TaI^jFQl`}1gJ!yJGa>j zaJjM&23df%>OR-}LOi;w^kPq_xwlwye1AitVQBK@BkuCH9pzP1OQpmsALrfBWZKpt z#Mr*zGMYe)EhW9`BBr%3nOtW`l8lECO5ht!P4Gi_4!GyzpBZaBMh|Ur$j2hWB`!Eu z#D;2SFPorbd1Zf()Q-4Ilsn1NZs$Xww?8_CzW3#4*57L;pMGhQOcqP5AzrjQSty>0 zHNe}XCVJe?rhO(d2R>%Kfd`LWS1nE>axG$&2xVb8Nh+AtseaU0SI5zdOUgM;iNfKi zPk1`3j%ZqYZ@QZF8}1qWIhmZx7VseGduP3>1UBM_%?TKx2C(?3N7rJp?a(O(2W81X zqx9WOgtWtK#?o|-gq$&PKn13dQliK@O$@phY$ou5{+d?IRj`b?SAlxheDG28!CMRu< zSTX8P-)>WRw2fhCNt?|ob3nojaA7QUj<8TZ0_BN#O>@|3JHFk^mHmJ!bRJ*ERu@>; zp5J3q7gfJBJ*FV4$kAbZpQt&4ztFN37D#uC5l^A3wXcc}VNB{>>dHDprPX}npFW2t z*)~R)(Y2W?_nbURMdYMqavK6uhF6Lt@p|yt!=`Bq;tw`z3%^JQ3zT`(o|)htbEn<4 zy_hW*EO%gXAd(IGRw|eBoZn`vc=aSP45gpe*8Q+ScZoLy5$!Ud0 zVPykaro?_8-m!fdlFK~oW5|(n6S`Hc-;buN7Srn6UeNVsKC0AG?(?uUdz%iCZneAiIRhB0MLNPJFAOx z9ei9=S=C(JtCF-4_Ix6<#nyOx#J9HPmBCp#{R2>>`C;~iLmlm#1qjML%>!9xM0a1m z&GRuS_r;7u!nIK?*k2q1=4WQzk2>0w=CEXjwN?;?hY;&#afvJzkEjN0(j^ zSUMVe#jp6%!j_p0Y1g#CABoHs`=X8cTGa6Q=H>5}6~W~+$#(1d4W`va0hrZ&oVU-V zS+#I}%#7OpbuI!N$m3VwYj{m9!DyNNH)WC7ZjZ2bH1Mn`|Jwvc!Qif=pK;1?0sIWb znN4m~S8rI@;_fX}PErY)`P|LaNM%Y*nLa;>?Q?&WK^{(!9QM869?_=XZgeF$J*B4W#iv`1dwehd+8&(PE|f^&HVWk#cL`85 z)W6@+pf(@8LmfEwK-(0U&4rgbLy4QytPbvKiok2Oe3pk>i>2osLiP981kNhWQ%-UK z#Z5kTG;J@95`|z!VRrN`cs`jESEPmPqbV!@8sWOnMt!Ls0??M=Bb57x6u0T?cq2Hnnp{zy&RMy;Vub44vsk;a#yKCva!SVN#&MLST6?U zDZIbGEOU&#JOHwr_R7AClO6V2(maQIq;OJ*3yP$oq1$GTW3wrC@XC1TY=pZeW&_F& z`@_zFbN?~Xe_XoZ8WVGVdhOwY#!BK?m{`pKiT^v`ud#%S@J~_1sTzgL-wv z4@P-juh8%L?Qc5!Qy%kk5GRSU_)vzq@<{6fobW8c8*58*|{evRpm`qb`N~NJa31%}kBONl8Qm7IS@%25POdfuc=% z%3x#76(E%ex>7zltwWwP#|>fBHK=}u0_{8hEXgOy;}{8+hyNiQGD!ot*Z!mJ1PpAf zfWakM31i)+GpYtKt38Pxw!QNkdJ99;74%ey?FjvAHP3v+cY*&JY3B zcr5Z~fKG$ZIr%2`>uYlCn+`eIK}{f|aV$iTh6Gk*WPmL4yJjFzJRDAT<^3lY_+#O+ z4{$HPZja*_q*2NkDG_K~h-~DpB6t#jb^`<$Q6%mvoK&w9{vggaz0dOSf;3R|cT&%6 zhJY!kS@O81gmYYJY;P={*YIp)_=DfXyg~gf79o_ z*}-_UWi@_>Gex_YwYLfHb|rAE`J9{Qp8i8r`8Sptk3%Y@Y1dNnhOAu&U)hrg!12T{ z^E;UM)35&-Yk&L-ln=im=w}=H^W+3$*=>t;BEzlIlQ3WxI8%ahMZeHi z67skN2q%`m3?~oyo>zU*ROKBhnY>nA{Qd;28R=u}jokE%53vIB90(`C6!v9Ffo)Z@ zJ=qD58|hLw?8ijq2Oy)_2;B(JI-OCcYiZki2IE(*aY5fAk2@AmrZ43kIR{3>4r2%q z)-bdqUh?WM3MFMSLgCa1`c#54i1XueUqjV_CYG7I{P_lX?>y(a^$D(1DDyb6m*;+e zAXj)Zhyx7jIHWTq%eD=87{ctE(2*v4Gv3@WM)Oq^42%_WAHfdj62eo6WQWYOrVKq} zao#rul>5%L2PROuU{q|7a#*v21lG8hW_R!flzo#s3@ju3JE6M(DmH#eB->~5czkKv z58H?KNw8_Xp&BZ@^b4h_5P$}zd{6yTPsqM}VaFhh6uXS)pedChOwffh2cOPzep9O@ z^YVG?K+yeLMok`8Ag}~5K^=l307sPF-?f%J+M?s{i0~o%uyX$chW~xp2!q7%(?d>g z7T-O}FP1U3p-oMea5aJfQFE#o-< z2F7(U9bxsOdgBl+mGC%xaC{}$ve=+pl1X0oLQ^PpbE{hCmV&=-K|>qDM&-Z>ki2(s zNl_#lBP_;Ya@B+>dgA)|XY){xteNH26(^v3Qyg503eYW4KL}dg`R2KDi}SsD=BFBaI!Ie*rOzs&x293 zP;Z%at*@id-fQ!GHamw~Uf^4nMks8*|6*D8kcTp~#luF-*M-l2uAwHmu^g&@+W`G( z2nK{OPDv7nKWnJie44x!>J;0U1gDtz2 zrfL$rx)jqg#4Rs))z1gXKYFrKao48BY_69#h8x^s7Er%nw{tgr&bE)f^K@LSD-6b# zaie__iOUPbc*SkaaZtNa^PzrbZJGJR2Ft1o27ZJwOD^>I$}7_ylE9CB`~UL&zs2cU zJxDFK!ULtN)#QQOl8GOtYz@OqtR%ycD%V87VL~m0aslk>cE2uMVZ2GTWcV?)wGQY- z?L=lzk;`_27pC+?T4lf;JY32=Hj4D*KsY+YmVx)rbNbPJ1N|g2$SiR>p}|Q*Hl&_AP8EMG(sVi~*eegG~C zN{w@eS*c5mlXLObFzg#oWCokN!gY$utPr(_wIt{);oCgww z5~uGslvu9}d5zg8>}b8tD(L-bnb)6JdCkDUY|Z>)6zFyvmpcPzSm`t{uk(nBy%b7_ zsirn4;`=VTXSeWE5ZwJ)Lk=`a6QBw=@a+1iCY*J{%33}i$3qMkf20p%Y8^0ZETMYQk(SDF{x472K|x2rBajkf-(Fu;-Z@`X z5#`3$UMIbRv0#~c&sY${fbXPFJq;?a!>qTQ`uY;Hf^F#WH2BMq2one3-UE0PKS5ya YNeIv4jZ{q4Vgo)#dZxOiI+yPJ53GSTq5uE@ literal 38523 zcmZ^~1yq#X7d{Gz(hW*?D2)n8H_|) zzt;VJ_meeivDUzx_v~js``K~MgsCXK$3iDXM?gTpl9iEELqK>6MnFI$MSTXm(@=xc z2mC^I7MImP1%A9yKZYV8JX!VB&~~wNfA3`CXsPJ%(aaVBK~ZC&GVdMkU8>9*9Euub z8OjA3R1Ri9f>^Z!~#>)}Lh zzY{MudTC8FjaKvtS&10j5i?EJN+V(y{Abu8ag+S)yVK9qDi#^hyY;D5A(r8_K(t;G z|4KhWLZM%n_0#2q>71rRJj zlY|8vgqVVZ{Ai1N1y^p&WrHxyKA^7hfwg8wTG@OXz}#c88^YlVIkn&4DQC@Y*&kF} z$J~~G&f3nBHzLxi3l!ab{z~h!7Qg)E3Zgbbjta?jAQ!*V;lebU>-R$rjrbN7e>1|@ zi)1gVYk5j{CZRm62J`QDj3vaa+(ljn6>Y0?4Eu#b?*?9;;OAMN4fMCJ;r9tVyGQ83 z5S&QLv{|#)Ee+$IWmn^SF&OIj{?)|3Ho~&?Zvf%d1@X~!bI<=ObPb19wO+|u^{*A`XZOz7On~s7Z7vTy0 z0Q!-S1u2+Nb+StE{3nwjOX{l09kUVAVGS~}p|8(M$RteE*R_VJO=xCj95KEw`Sh0! zNW=P}jIpy1#x0z(&;v@I2;q**3TclcHH^bjZ1+8ufx^3~DvpG&Y}YOYbk)gx zaU$O_M)v7spTqi|MZVertACNSX_74aDA8ELQ#*Qo?){O?b7m;pe@=tLON3sfgSGL8 z7n=KSl;&yWdE{yqw6h1s&4Eu0{Jr|wT~JSe|h z-b>{6V1EK5rWvzI?IRBVFs+P7ah*Kym86pf?!sB5nD(m&11~I_qDwdC#p#S# z9IYHjh6ZO!0L>PK;E}Y+Vuh^UmrjBv{Ge)?r;stbMcC6@RuQRRD&4!14hq#TQjYh& zFTC*NPwnrQLA3rEEvK6P>GX&zitN_U;bCsa@!>@K_bnCr-47-N1Zo6XNihv~Ls$k% zGK17Y;|(kz!2e}&XfreIGYt*Gh~c8pE_|%e`)jO#51NET8i|OQ#Hw8VTr6L^YRfSK zkhTKxkTJ_cX|Mg`2(`gu56h4@KVgB+t!1TCd}Ce)Kd|2zIDnwgBIUU$hxVC4TSj9f z9iBy~8gb*OrbU{?Nv**CszB8h?=U<&%VBbicW0Gs_BPFIuJl%z?BEu+Ow}xtFG2VO~SEf@SlLs?p>(Y*`L$jg=fpV*z?VfR>rM6Yy1Sc9Jb(lRT97-`F(~~kE2%E=wa!d`gGD%t*L<4^f(Hy z6%qi)f4n$9BeTM=*JLRcX(GW*NuNEt07EDz-eE&w7JGAZwV(y9I$pQ?@#gy$iU0Wc zKWkRd7@IV47Y$KleCry9G|eSigjhP)(b1=`K>p;nE^O|t3lK@%S`}C~xBR(tMN#|< z&ZO_Vy6xAM!UQxzyDZ&Aq;@*=T;b})h6LDfbIF4aMuAFaPlDEU;pER~|M{v9`5Xj2 zPiMJsVFsX;Ak4Y(mD&-mIWuluxca){6O`-bH*;O%j_@}#5^w>}pqcZ=MF5YNM{9LR z%=QZPo~@zLt<6zz?v=L58gGt@>+-VGiJY(c?=2*E83T(55O05aCtcGFNqct97nbEl zv4;4dxGtdm8-9#PnHOUIUw#09#FYi?rx(?#`rP%V^`s8vql2n^)wdnK%Q;&uoiBB; zKv>hl#DbPU88bDE@xPhcg{&)Wd?Zzyn1So&MvAD$;Zmo5y3~(FLFRP0l1P!<-r#&T z9tnNI^Iwz#c(wyX7jbz$biF>*L$6rvBM`|m&~{sMTNzZf#wf>uuC$}x_ZMm+TvDHH;=y?|Z* z!X2vNTBfQO*bLRysYixE^!vTxb&IZy&~_N5p_U@zB-dDV~65 z(C_)mf7n!F+xN(T-hBdBIKeZgTMB+EHQW8S&7A(8sM_-tArQR`Ipa@m3c2tHQaLds zDD2I`r;ONu2Jhy-(G%g3o(N1eGZMrHQI-bJE)8YC z+OrYpZ)AU7SE`s%qdJ{M3QUINuFkpqYT^TZa@cpGztZ9{u=kY~KD%5V!Gjm1Z6u*6 z*aM+^WYWBlmp6Kirsp+3hpzd5CH`%JQhGpO|TNi4Engmh@ z(x86>`E5Etjo_?of7ptp+rF*qxfdFwiE7}_3|Fx|Se}PtN%Iv+WqF=Q)8E8Vg$?l1 z%rV#oS9@7VF&Ewu9Gfi4D`21sxnVfBcKe%dM49`uf|!fP)kqOrpSTzf~<;HB$B;W+%aothB~y?sN`vg$v`{P)T#TmW!HPpB5R$Sd^DO5CRHXL_NT|4m8_8Gs!@ z)gg@~6Yv1QN$>4axArSa!?Vk5`^xHW%pBmiIi-xysQ>criCeU7H(7jmMQswfu2bTmw4_NGHMpOP4 z2cp1kpT>l=gt4tSO;J8HpJ5LNr-)UU9)1)s&&x2HUPR%w|BIhu9{IQ-b8vJzrR*nD zG_{~ie||Y>bl7>4RJr(5Wsi2v1=BUw4e}REnE^}-ep66x%O|of$bNt$lKz>}fb()4 z=dmv^+>A!1;oyW8M%JfgRJmYcq|LHj^#6rs)KS1b-uX%x=*6}y$&CnUY*PEroAXEL zX^jnMo}EDJ5};QSqa|D4SJMsB?BX&2E!y&J_V^o+fdDTU1Nks3>9`r zNVgO|j2t`LxC+yhMYD7tUKL7Vv7% zvpu@EBNnB$F&526x5MC+ll?6k&@tD~I=$D%5Z?dHV*Y!8V=FQ}Y;*;$Hok2;H2(^| zDeI}y@X()#qHT&9&sF%1V6O6|9elEcmP8sTxyH3 zK>_S(R_z96kk`1kuvWI(iB+LiAR&^7XMa1OF>&*d0nKs!r}GdAEGdCSMg^D(&MkK* z3!=5#JG?CaY4YF126iVZJRgL{v6^iMMfm0QEF4`?zxj zvOGJF{fedz38e?#l6AgxpLME>A>q>^ic-rVyA7K0K|@xP3px+%Gp@g(G|B{s`qlQ! z)({~4Jo0E=R;k~+g@O~Oz85{T-DP$7o;6+!c{Jm&q=_;K=y$`thVA?A|C-PqD`wK4 z4fVN#tzMp7PmyPl4`8S_r&c`qRKewE26axKpu4u%x{OyfON_c~~pYmqw}H|U?TypYmy zQ>?G9KtoP9Z9=p7?(?6`3a9_aM~#rs>7yT}K*Rhd_o8k5Q8JR6-nPsuyzS{@~zBmIFW7X8d&D0G}qkiCx`}? z%>oc+wxV%yPd(augHG$*m1_~I+zl`Bi9SJ`!QJ`jB{OeesAy{cw=ON)7Jy-xQNPwt zY8TG&{Y)L-mG@OiN!iBDrBwKHBKb1TMW_xC3vzqkpwAh`2f?w`H$AyC-fjOK7s;Y; z07c)JTA z@Eq~kUSjyG;gHUl>YH);4j6s9DDO>dAoTSKN65t}x1#Y8DtQTwoywo;d*uV4?B6`l z|DR%rb~$I0Rz1OhaCdVo)*tT*8@LK5>AsE09>%}>!Mo~x5|Vi}Vo}MwSj87@1QcK0 z@Q%UT1yy2y`*RXB2%SlS!7#EyHZ>x=2vnuftYK$wRGlTf{J#lL4flxr<Oq5G=x$Ri#d8K-)37Xn6q|s`L7wTXe3O{204euB&>@nJfS{fw)H! zim2TGt5udPh-3cNg3iyuHi211R$(m^VXax?HDhDW-YcdX7ghY{3pcR3u`7>#LSg%Q zNL?V5im-AU-3ra6mVyCxPg|kx^#+k3`O9Z2Yj3OnaRDa5KWi^NuDx2dYc`w+y$850 z0J?Iy*m1M{-suPA#F?sPw^bj9m)ceHzc>z8gqK*?pBTD!41TyHhvij`MvcPb%rfA{ zI8%9V{QGd5<%C-FezbpL4*u#7;rn+y`9I(vkr(%cfA6-BJo4gh_r5wF)vVON!lF1S z4m7w8k^KGT1)Hvmxp-E)0UJECND!i2UM|F2&kmGIt;hRt3syi#67Z6X65)BZUxvOE z-Fk`KwHeB`11SYx8}dKXiye8u>m8v(0zeJrVf#fW%VR6WO|QXv#slBvkP7zE{KphM zA(dwrB8vXEaSK1Ka7Z3LIC|GFJNjiPL|NAYKri)*^{bo={5^%I|HX;mu+Q6~MCo=wbt=j}*}Gem<*S9( zx(Zrolxc5?0G-Woc##Z$mMTwt8q@SB9Wp4IzH0LA z5Z!c1;7UkyzCJPem;Q2=BMYL)xo@!nbri|I9G`2GNdm7$Y6H*$x$n~^aJlr!6c`kZE+v$JN6SqN~Dzvr|O|w;V05AUP;EDoA4anCEoje`1YT2)eMi?jV-oWa{qaav+L0t zjeDJZwV?j%oI>&Wr>V4Z7atQMF{Xd17&5jQnz?@W{GTWd4gx$9_Om_+DoJg+obI_- zk|q<#aM%6i!>vNeO+)*|3K?D=$$25%r_N*Hkg#DN=ndXXf{-F+7JPuo6nj;vY?CPx z13`1z?SuAarvHITQY3j=v&ISzw?9)uueCnQs)mk8b>ugVXhJfc|6za1BknFBZA*FN z*VB=-u7}yJtC}7f#nD!0!qlo4n_=Ds&UMW<5`(SLO55X^p7=ZFB5I_;8H$6*&jJx% zz33>z_fq@@U-Q8F_&X%kJcE#@9-?A)GGI@UdwsUi6b)-G`&UCPI{5fN(2|5_2MDK4IX` z0m8$dbx)csZB)G;zAM*RU2F-}iRzT{%`8!zOr$>oMTJ|qY_qUz{c!3q;KQ2V_d|0@ zIRD+W@T9g1teNr^4HE&eqo`74fqz1Kpy_5qvO}%qkAxy~+#lb|s8&ganUjf$_#}sJ7bmq<})tpBcEAy0Y2A;rWMF1b!Z2`LcUI?9B5xPE1AvtTtJh;Oi%3UA^w3- zk>Wf(?#?>40~20|+(hezOTE4PSQbQx%s=mRxQS8P`SWc?>bymSfXH<3xV+v4Ym1kh zZqkDJ@x@rL@WIc2>CB=6pmdTJV~>vZfC4@p*_$cjP^o86Lwu^YF9{8c<+tX&Oy4fu zv4rX;d#jY8daJbi$o{6R`@VsKe-rU(J0z9Z(`w(4-VH}#|MimCz3;dABIv)mQqi>k zCt7tLqcu7WNELSN)-$C>yYq@CVO9pdlN4js0A_^7B63!Z$!gCL?kNqB;*r8lOro3y`8{ zWA2uL7KMaqm$*03_**taH{pfs^qq9|w?Ym5WeW9a_ybRYK*iyE-WyA>{tB*Q4*ti|FOQbO zHl=gn-%c-_@!y_x1A=t3j&?hJ_@N#WruJI@<)@34Gq=JsA?;Xbx)7_ESAVzIzH$Ky zCx$=883cnMt_9T5sL~>wGp4NtAk2_ldH>7lEYk%(TduUgmm>oCS84ArM*V1Pouvsc z-ayN;_uanHs`uU5T&JX8r~F6t!^C1Q$^2+@kWpIPFOZ{XG zH}vfZD{d6;4hCaK(-~ARN@9gmb$mX#X{bW_-_|*^?SOa%G+z-*>y4|sO(1_j6_iL& zj{3xDnB>AEiBK12_H6`*Talm4=7gh@UM#6H9>-ATmdT$3@~`f|UySx2TY+4OH?XiQ zGtIEQ8$y@X3wwo8R=Ue>hi*@tZC@3NF;BZG!CeI zUg9ZXK*B_o-0FbB2U4Zqa_n|}M?sg`?Av}e>$OAa1*@U$et%LH1?E-f_s1Y?N%Len z-ij8g4}k*1_=*M7Is*O&OxItYjN`A7+%)|& zSC<+vWob_sA=9C~Aw&_S7I6vXSo7%9zo^a`_)iv`1gZ}tzL`i#s01*NrtNcWTJo8C z4Cq8+s*19kLU?=Kl}#_SLU-<>lz(}&lJteEmc~r}5|@84p0?2)O$HKPEZNyE8J|+L zCW*~FaiLp34)>^#m|m%kgZh;bqoiEk^vvMYY(*6JU~D6R4AD6TEm+ud`St&Vr-gKIg{!lV{-PY%?Xdqv^0f zwmrBbH|at(pIzS94tUNN*)AOJFCK7pEcW;4?N3QFF#|Y<< zeB-wN$g9Ysyy~~Q?Ap-7J6O7*S#Xyk0lUuqN=PFO)yG~=3{8rI6(zi~L(PgLqVk3N z9>_vS0^4cALO=foRs)bHFxdepG2tzCJp(HxN|Y0MdC$R1j?ba*0n2ugy&X=tO&*6s zql}MAb7E@3i#YI@Cta58nhbI*p^*~M3d8p6Pd9LggPz+YHU;?JGaRCS^#wd@Eq&XMLcNPGi{X;F?aL^$}?q6TTrQ)%CO7Yp?Mdvu%gjkRGlT zngi9P`d-joyyvf>9KI^bVqg`ZMZ}txT6@WTJ1ZQiH(#+2Yc}{FuN6lOgY zNXWjq(2V|(0fZJR!&*qHic{qai8W5py$m)=)ch#oU-M#2lVv(iRbarU4j(glA%UE?566pCviByK++N!adnCG6X`PAV>Ap%0V<@Q zd`tdC&SiVzQ8kd zrGO}?;5T?Op`!`$X4sZtg>4~k_5cL2W&#LuP}D{7mh{ZJ8a{QRFScLmx;1sRR`R^?{{i($m|YvaKKVk1x+{Km5GmJE-RAG(oCK`5M+d-m zJ&$8EEHcwY73+NT9PAu${McPK5FE8voU5;4KMoi~?SXLHlr{r0ZK*5trS66C-IjXJ z&jzc-yz>Q%tgOIUw{~IR7!yZb1NQJO=31Yk#VoSzzLK@oNagLH_w+l4nx-Pl^}s^T zkMwBSHplfk|A@7h_Vk&#NfQDql{F9-WB_>95{JQ$Lr>~ZfRkeL=9*5u_S7Pof?YdY7qWMugsffX^ZAL4XMAas*s8 z>X>oZ`aZlk93gHFK#^f{{n2WA0L6?`XyYRz2$=vzd@`?_t*$0Ra2kwbP=>kiZ$H&A zP?wr$g#fmO8;LpX*Sq%X z09*V8Dm&%LtpufYH?BycXzF11G!f#bV@o90Mmg z+v}1X6EABr?rNMeUJmq~*dQo^W#wd2*MSQ%OMy05 z!yotEy;Z-m<$NH?W@)tXmvRi{h;&^v=5!)s0yN1k_^0&v%?iN!%H+ZgAMAn4W?Om@ z2aH+&9GSfF7o%}>!wS^@VJp{^F{HU36t)=5Ocs$ebM00zRKd&}@q*Fjq39SVp|j*x zYEv#jr0iC8vsKKWkS{7y;~|F`Ljzt=J9^paHq+^rthP2PNz%t#w*1GQrlQ$l|Uto&Fs!K-W| zjM75nOIGo%%%*JuRq>Gm*T^&8%=Y=-l+SqDYVPdRLBwOvZik%_$B;ueVGmuMep)Rb z+8mWH8-{|`{cPyeSCD;U!rMoxxtX7kOcROol6p%hAnD ze=64sZWs1>$+tGXwDg*nyub|`E% z;xAP!aU11s{PL|I%G0=fD230ULQvaS`W`kdB+tV&+{bGZ9_hI0*f1xH~7tqh6m&>urOhY{%h3pRB!iaJb0}Vn2A`RA{`W(aF90g=v z_pi)U<+WAl4hH*gbCuauX@&whu8blc!f}_S*M)Co5}s(BYqj`EposNyAaQ)_ED1_q z&jE)rAFF5=uxXhVffkIT8W+!1ddP0HHi@-TLcCRfdJL-fu2g=}IW{Pu5&k1yszjH% z)z6&Xgu5Ozwl2YZUfeUx2VZaWMsC(B{2H}8Lwf<1>`|es-KI{s(-`p5E&PP#Bep3+ zq|X$lk%jmt~!!M+MzmwTnh?A+d_29dnkP)IQj zhmEMn4$?(q^z`xzL)t$9Q658-%xwl)ZU{LC8{*eJTG3)nP@Z8G+-7yVXl z*Ui42ZVBg)3`I%|AmU<_VFguACL{lOonvj9!t;$2y~HWiJPL^&ERBj;Oq=k6_P+2( zYom0RPZavMZhk`r!z!>*QMaVCN<@OHgN9WA@c;&t03=*B8TfLAXJrXj&S)w({M%cb zFW0s7V^+ou-yKfKwZC)a)4OXwJs6oqe&uW^^mq5H>Ps7yqabt;97#aSODNvAetBx{lAm z;YOm*!ERpP zEBg_(RKxumml3fdZPLsA zI{c7;QyTN8O-`@4uM{8LS<)zTpf)|PaPpKnq%2=%-_)dOheXD!EeJ}SDc2(^{Ov&8 zdn8Nb0hmO$Y$wpT8uTMG(|;Dd01-KDG>oRQ!;WK4?GwBjuxz95`%oc=34W4DjGsU$ z>Ri3wR&?1li#HY~ggY8iCfvGh+zBTJBr@Yk z!j-Z1Oi0NoIFU`S@kc4BETH=)A^6v}T#w4e6YXpF<7vV1+ICEx;T#vP}86elY;F~_3J=`L>sMka(-?y49G9Zma4k%B(xk4wdt=5US8r~r44KkZ(kD=X%fYs zk)Sbgxhc}p8|ekF2MT-S3~qf5#eEgIjnvDRiRR8D8oGTGfBXAY7K&wvU>6fT?3Q|U z=`tdYJ)~`r(6{mp#S1d*x*Dd5s}0r6dGaKi{>DUv6Cz1?m^eL$h_ex^gai$G<~F&Z zxbp3=eEjRk86@O0!Nx%8*5g6fz7x`m+yrLSNW#n?$z|~-ZPTWH#G2WfCJ|o_O*_ID za8uQ0-*C;zWQOWpORiy(tD(0N2!`m)2Z_;bi<&LRmtG=(7K4GK7%eN}0Vrr*!{JY^ zRJgmm%^Uwh{58aHJL$<`H1fvt)H^8aLA-_S$ICQZfBM2h=p~6da6O7qi4xOZ!h~hk zuNE(f)ib;_vArcW-!q3A-1>3+RQT=A*&aRAxbEYTf6rje6@PYG(~AzNtN8^9BhLx7 zZ*xh;{jJ8z4Ky)(*7|ceX^e`YZ5U_HGSetHcM7kIzBb#EtAT%xEJdz{6dF3T>92if zn`MRlR2uKLhb3_9WZi7`Uc6i_fRy&y4uq-nqZ8y};&}|GdKb}gLW&k>qlfL^RQYuz zc?ho=lGr>XK2cMtPN5IL9eY++kW2lPFqiP^O;~8b0pUqk(-01l13KA96E}XU%rSSR zjW+@`=PMjfd#!}sh2M8&Fs~fHAq!aQMm^H`onq0tHheYg)k*(yJ>bt6EHIReQ1UrX zAa_GEycvfEUdWlb8p?T}Ib_D%sh+Zb73qb8#6Z4~eKW`$ttFdM3MafWm6D`LE3+#B zGf5gE8*LfB+A>%^^b#`aNifcBDv8m}V>d`c3*0aGt;~0>uQP|bNkwjV(rI9;hDB~DGQhFFRSPU# zi63oyL@RQdMp%6CzSS)l(I4RQA@6O?FABIBtRZyh&-|NhYxXIvzZ5jGqOrAl7t5I>?Z@u~Bu7#J z{lHy)2*p@KxOQ59C@VF8by(kP8OEg?a}zhP({r#yRq_3qbYJI}Ybw6W_eT+v`5S08wMTJMG2UFD;5J!nXxmbvM&g~J>cTG0L#D|ma z{3I@i-z{lfk^B*%KgUXX+s0{rUuqNau&igsFQN*2M5D*H)$}nxLlRG=hQChaN_dDQ zCX8)Xzp$qbNJ_HFHw?}2+B!%Kg0AFSr##V_KXATc?u5?{Rgs-Gs&~V;>0$UDmXEkx zw(*~(e~zMYAum3z_}nU0cC>l+l!#W&OGiD>08G9)%znNi=PMD&PMKc%mJ;<`i>8Ry z!{G#|R0QKaslF8dlmHjU#(k-0ROB+m#pRCaPtC-r3+uM0tW=NoD7_CMWY00jM`|fEcqb2kRor6z&yR-EW4Sa(sajgevFWkBZ(TDPz*ZDxL{{qn$r0BRS0$ zDBj>vhJ9OPio%C>@TE}xEZupjY6d?Rc}NO1-IkgfS|P?pxMkjp5<=OY_-(I_9Wk(OFl`>Zh-Xdr2$IE_hs#m}jSL3Wk&g5+XkqxITtl6=b>CH1_ zy^MXgF@wgK8wiK+2=DnHiu)P#3A(uCA3 zNkjOqOxIEy>=RvFRwShngcKSkNu#*xu(8^z+d$+`frdpiXQ(S{t>$$lhTzQmWadL_ z8IhA|j}UB6yR0WV?V_oDrFqc{)REcgmKMfJv zmIE)|44-D|Oc`IZDVC|vn`zBu6`y*&JP3*!_!`8lhzIOlE?%<}>cj@?^LzPBY<|-# zP9{cBfb>LkK#hSBU6B_90$e=wjZ`{Z4fVyNgYnQbV5rJ$tSFhGCbW%L_JkVW`J-FC z6ptvjq(uyiuk5DGk;ZkyTL#|f$N;&sGcP>@%?FX;9jAvAo7OEPzxKFZ zZc=2)F8~HFTg!NMSC80Z6e2_7xb2i~L6;Bgk<#O1ok397s!SkHvck?UW#rQjWaist z$%-~pij^)-XMht=2s>VRC0W9f9SUMDXSlTKk(4O**y_wXNgi~MDe{9k23YME76NKU z`yA=jEAiqF_!{-m9><(|^K5diTYv0cfCn#r1dG~w&X3ItrRY!F;kuH9KT_wea<}l# zN0P!CQjIYc{~Nx)5v>?m%EQ?2-PFH+9qeW=C z(Zncz(nrk1FvnI)!|wdKDSkOi<-%i%Gv>|t>9{n~eoZV}8eb5pSH|hEKlvWSQb_Hr z8r>9t2Wn?cTbbdy14`Uc0TXf1w5XU zzCo$2URuxl^nb4-8*Sd5DhR+`@xlAiV4#~lO{&J4`K^;@z^e1v6OP?9%d}E;TU41CNlKe;>wuQ)lx?#C5l~87KWaFL zM2ydp#6#`l=qyui44zn-62(OLn8exp0BdnAv9&Z~WFB~VPv5j9NjE!(<4>)tLiDlC z^ou2=XU(Fnm*r=29F`_-Z1d8ik9=ufB&rxz3*)G2+FM&U@2pu4N1qUqM|r(|ArNgbjtZx?O6y3r@B( zG%#UFpI?fWJ3aW@pS^!<$Xb`yq+Na$&Zw&<^E+Q;hSlc$a0AJ_pB(Ebev)k5C_8PY z@QB?xq%rOM0?*YFH_)KjzCt{Hf-yD*kKssl^Dcx4v)l0_L-|vSAlErUYiEMItOmcebV|8$v z?a;uk)+eIGqvVSs2(;{g4v0+O2S)8c;xBle5!mnSz+cn z>s!EVz;y<^nrc_+W)Vt&L5Sh*z=pfI?X~*aFYkS2=e3Ai%3S1i1ogWLm0zP5o5y}F zw?>sC3`zTcj-AjtK?me|XNtoI+}{v}mE67brr~Aig7wpOW2z|T;ey4w^9)8rd?z0g zNsrCX?wKV&zFipTnPxF+4uW3R%}JYFu#@uOA$q`>HsZY+hf3Ww61=LbZA_Yu!`W-U zezl^i8GITbZ*1t7b_Mo>uUneLKzt< z5Kg94Ox0DkOh72VB1=XAF|yd*WG;VZ0(ws}HkkfU{M%k8wkR%W0wMM6Z@W>yS1%?(EI*v?ImByG6cJ+tG@y)(psBLMtyLs+dP6=ixt9cj`!9KrT zB}mQVruU@B!~+NWo&7ja9A|oj=URUl;y`YQ!NRIi71}ybRn?M0Jm(WuCVj?J{=rop zRQ3#2v_*lzobIADXeYO569M$Dz_P%qzfr{^S-AK2+ z>9(i@4NPtTs?fb#iLb=etG}|yJEPs`8g=be`5HT8itja~vV_95Q}?|w)!93GlLx8N zey6TNVpUew)l_Q`Iwaq4%~>urK;@>6*@-H5Rgo90ajzDwq&pue^2H7q9$DhQI_f3w zG0Zj1tenh8(~h#Qat?hIXQ`@`)@UkKlxMQ@K}-;rZ&?C;rQRvm%&w=sp+7TATSK3_ zl9fPYei2!lg*$#>hjq8F4xb5bZ+Y?WeDc69KT1y4paON|4}PInCJlBQ#4E!ot>xaO zrz4ec;b@%zOFD~zCTg_9hU5cO=+>MaDmg zex+N|yB>y5-*li+rZ&%Ty+IedE+BrkO0k<)x+m#br*Bnxh=Bq5W0A{-!)^OJU@eAe zn`*cRm$7u2p8j58bKVW6IwQOyx{zGjOef z3YR$1A(2^6u;QziglLwu|2Qa9y>MRGq2jk3nysXg_(c0q`%H%R9_Xib!<9N zS+VrYBxyTntR!Z;HLK>E5Se{F4Q>0XHY-eb{=hBr?ZF}4-gq_|B;V+R^4DY!3^9Dk znglzqGDJ<5z{O6DKlWIyep_MEFz#8dJ1(9@Pxgl%YM9d~U1dLONr+Jb-u_*skLGx7 ziB|ES?qnBC#rYyeAVPBGsEGOJKYP}A4=xM|6^D7G6s;S>`wbbmUOkcZkl0Hro&4yi zY#UxJk4_I4(NlaPV%u%cvL(ueBZGL6atfLaZQ-p-5yek|q@fSiqd+gkZwe_LI%)B4 zG^CE>p3Imd-J!#PD=!LLT|IS@$wC46Ut*%H{8}SbRmr(FpLWoQtNJmnLnN@){|h6I$8E!lUzMWRDXx&5YC~l*28{2h$2idCEC&nSqMOGrfX4KbDbGRgzGkP5bSeFZe?m_@hk-w6Q&@ z+y#E>E$7bWk4}9(7drc6F-*e|^8r>262H}o6iV0XTE5}?{1a6g zM{?tkrxNjVlcY8DNw3~TY^S3%ZKl|>uxk3MT?*PejXxgnxgTv-#4=U^2oe3Pk^lED zfPN5O%aBm$9j^GnS*Z-YlOF32Mr*1$;{{@1NUKfzPyChl8{{FsoVrH!-;kIEZXPaV!o}5L?;GTqOq+|Nl!;U$sDTw=)g6#E>Z*%!kj;F!vnQRdj6n;ZAoL{S{r=?e`^7}EgzV_ zY2UiQ9hadLXX_Hjt7mi7qOf|G9Ma8Wcb<^BtQ+m15oRC!&L*h3GieJ^dh=TCHuS65;*!p*6AA$WJxOBl8B#lmTleA*1CnA*fM z!lBD$1D72+U#|26NpJjYOVvOf3*){@RsCD3wzVXt`79BG(V0yLTolA7Lb0!Pc^tBa z1%CpUzg%t@UKi=v};^+(XOn+4%CH zgl=m^)H9C9?wR&R#H0Co8=h9(HFSHuK;Mo^e;AJ7U9x9Sr7EHf(%i)TL}p!7MtiYR zNJ7?XM?O(f%kztZ(d0$V0W;C0Pp@{yZr4DAcZ(eJok@^)O^H55+1hcwi7~-zo(x)U zaiYGxRvV2EJkcWW&rH>Sg1BaP?ebAOUhO}fKJAFweeoR3RPuOJnc&-AUuvXF4kAPlrCKn`uSCF|0%y<8dYkysu-2u_#a7(i`Tu7vFE2` z&X)q9lxYvHzVIhV{)^_wwAD^9a4ZE=%r-}?@HL2P3K4MaD{k3&yEF3QPu=zx^R`-S z#nj)09Xjl+&~BB&jSLt03LE6VPfZdFJHVVg#W$+2Y@;NvEltlj%BE1H!EI=1nv&Q# zcr(CwM-U76dNRr&ciP6OyjO1_Y1@SK|Do$E1ETJlw-r!IX{5W6lw2Aq>FzF(mRcG_ zLAp~?=@OPySh{-wiKUT_l@96mhtKo;>-PP|hr{m9IWyPHnYhjgx%;xZ0cF|1G_kU&#&Y7zSf5HVZnL062S?E|GAn1a2vLsa&8EyHv%!sJ z>B0NlWLL_-xEQ(zd8~tpAA>e;;P2vSS7}-~o)=&KiX0te0tM;wDerveH;AAnulNB^ z)w_X5Z$H3~V?37$?A>G)= zf0|5Tg01_L#%%Og0O_(d`s4mWcC@$kg1`i!%~2#Fc%Ly#&+$Oi%=A4bMFVVvsb%^7dew1FzOyZxF`uhsz>8m)v%0F( zbx0QMHnPLwDtJ6I+fa@bb4Br^6;Mc;X?6tG5P31!T(^WMJ8uG$?a+3oQ>j1am%+kP z@x&8O4ZDxkspJzvuLN4K9)k0XuiWf9dV$2HSoct=VM2hjJ9k`q1T1R>1*c_&TxWbJ`LZbQzQ$ECdW{krP~8S!}* z)6>pg4+Q4(t-%RKjr^@;-w(sNb9TZdtKur77mjPIF!bx8bql4yd*mzv+PaoEB{o1uJl4}c(Bjg6eo`2gxRst;#)B(M2}6T_(ik1Z$zv@^;(N^m37-8- zUDsn9tnLP8XN42Z!ytnr?KZ_C1uzyGq>lwTx?MSqIzE4L1CB&{e?%Jgf3e>XSb*i{ zy!c^LaF6^Z+oqOr_NB+pTs*~d%Z6(R;3-v~Ygud@N+;rJE4bT!0(*kw=y#K^k~g1d zNOkFHKO_JE<-psVK`XguGZAbVb)yNFEBM+|mtvu&M0##{Io-1NL3n_Ka;d*$hT=$rIQnI8BP{WvpwF zWGI8jIMdFV`_m7Vt{o16VdD`iJuP?^6OqGK`;*XpMcJB`t*-{ zw_^HhO~({>N3?{mL1zRvd)x711Ene>{Z!IIHcp56uc&^MVV6NLLkV6|suxJ7rr72$ zZKWD|$H$m2Ld>n?Ua_3+zM^U_-2_Z;fHC;I^n(#j@3$!Ot3fSs{#39PQEn+uZ?lZ` z4Kt^{4*29e?b62F^N3y>us;NOv4*+sg**0y;~tMt?6=tKwgw+>l5IQzf6Ndq*`XsWy=B+*jK;Nqz>bYQ;mg-!opIG~;s#(ANl?U_6K2!1D z?$rb*6uX8Gw&Bjg-?7?_$C)^uP@(>1@sfRw5-WN?6H&UQ|e z$Hl?u=nd2Yz0dO+O<+aQ;ni);q8n5P;4EXNnw&*)keA{R8j76in>d9R;tF@z6 zrp+U&E8DndxeA7#dvJIyqr)!iD`(dqX(9YKB99I;_0mLlVz-?Et$nD?g1|Z^1r-s7lnVDs!S^Lxw> zpXC(jqBToX@Q&f&!_8Qy9{)6FNs%nQ1hh0^hz>znXjfIn#Ss@9!s@8}70>l45QBb% z4C1M~a$!XzlVtUuH-;=guB^6BJ)&8io*8&IEsCEwYYLQDl?bdjMXg_Cv+e}KLl)qN zof*mQVJRiiB1O_bQ)1_#=gBuFr3>K<&t{rxI#V_O;M|E6K(H~pr0D!IetsJ+Ww0H(~mcpQcz0C@!u$yo*$ zRWYmd84fPKJ!kR<>~0}jb^kxvgYQN_2XT>5E~_#@`DU4^!wdbL%u>OMp2@9qQNr<` zdgl0&w;VK21@f_`DKk9c`Pq8vb*)EK73OqDRCZV6&`wL9bHBnRdd_xhD7IJHVM4|7 z>)aK*B!+b%Jl3l{7df#UiqGrgdGXs2N!+7x*++=J8rgb@sAobPkddhbu#`6&5(T2c zz(iv5$aHu-6`QUzR!}FyUduPof{Q91?)TX1gC4&!>065hBPLWdwH&SO)YRwoUqw#6 zzZ}+!pq_zVyWQN(q68p1Kwul_V;|+TbG1h%XQF45KbfxHhB%Jz0n z*8a9kS;ggM31v-y#9R5?-Y3g{&APKhOzrxZK zmn@*RrQ#v2oz9HFJCrAVWatdw@L4$j8@gp!hg{e;BPUTE>j}0+h{ZcNkeo^Q z8H)g%=}%!mU@ed{Hvox06=+Ar$Oy@uMAD%-1a^rw&**Z_g6DbBQTz1S!z0#s#T08b zWgc4N{-*7P3y-?F^K13W+em;?T6M&BmL%y-T)2(lORjf38# z&Sdp{EE9z})#2n)N>@5AZGKLXFz(|~a{3cK9jwxP@v9wi5JaeL# zh%?k%USxrPobwf`MB{fgOR9IiCD)*d_FA8taW3iy)kjr3paE$C&0%e{KKm<5j671Q zh69{hS%zcS#qx>JFRA*}8aI z(k!S{dD0QQv-tJP0+U_pFfog@|BMQi(6*d~C&wmDe;LuZu@-#m!&&DAg>8yK0)JW*_;vV@mdrW>1j`D zMC*Ek*W))cWog1abUnUTwan~Cp_s`6O zee)j2Ss+7SXl_N9#NLNBwG$nCqa#5H=+K4L8sF!XznCJn);^e#Spj5iq*W=9+Z8k_N zL6zQ`K7F&sa!F=k8+D_T?0rFQ@11L&QzR=!G^Zx*KR(6H8BrzqsqC$Bv*_b4FJm2x zIF1{_Hrq$O@WLQW<)@0Vg9wxtuF zVU$nT@{i&fdo=P>w^Ba_fzZnG;Cl5O$41r(BI=v_@^5MN!d<+P#A_Oee{ixRR1)L? zkx}74Z;VDK6|XALV5xBBHVja;Y_|h&j5{_%_WsA z$q|C?Q1&xEHwY$-zMf%~|Jv+)Zct%s;%c2|T?f;rDvVH~uiRJj*NUh6g|3Q+npK6e*#sDC@2z>(0_wA{mU+l5{Q_%BW(Fjf z*0w~eRgJStQcx~cwWFhV;1G@;FEOjU&3ZCUWG@yRduj93I+DdSKOiL}B30F~htZJB zhHx844ZtE`;0I;~OdiNHXWPl!AVNn^%a|lird9AfvrNl<&OBa%QaL1JllN&iIrDF1L{p=8#g{Ljo(pj3hE^qynhD}9kC<9WSaM^uafzpn zWSG3Q1MPVs%1GGf@7zID(7qR#P;=dfB}8zLcj@7i14lxWh%VBOo)4%8Lf`Iv_*o6N zArQR$$BENIy&A~vIpdM}C9Br~PApGjopO`N;drt}mL1vEoDU|07vT;vZ-(ug5N7zR z#KJPkIh4!PK!L}ktIG*OK3Yejy_mbyL=!|u3&vfVa|mk;gI4u;DEUOZa8OdYx5uw9 z;S>=dweOJKrbcVO(K*DA3-FxZ*~--j@+gm1-;8&wmuEZWh~_X;N!Q+v@K}(*PN)Ft z`Ri(0(0t$e>&SbeE6CK@GdR%*Eba_l(y@m;sFNJu=UgHMuW z*wR&*#ttto%?)v|(0%)Tx9ZM8K!zR8wq%!F`613VO7eb>ke%AU!%Xu33NyjDQm+)B z+2{LP$k(xp--oCA1#tH$80mR2EjS1(z%Le~=~}{!J-vQeu@oN)nu%P`d$Z=;%KJoj zfCP2I?aVK%$uH*i?UQ>3a=i;m~E}2!-*$&;U$w} zA2#LK?+oU5J=rOYv5{944JVceJ#ETp7p`EB`&8*R_GqQWx#&fq9|YIH1R9IA_6eF= zA(4(d9!vW|tmF`tikq>7-$T!l14+DJXB#hGDk97E@u7fZJVHRJf ztBdrOw5RWl?%R$%M}0Fc=sr!eQgBJ=i=1SR!tX$_ofZZq$f%PA=V{;Pg991^a!q?t zG!I_T90(RWnubub%uyD2@n)$INlf5T$eAb19kj7BLK*XFrmz zDGi+z{f|sfeeX(NrWdHuHKs7n1<0Bh=dSvYkl`j?2~5C?RuV=BR!=#mThFz(Q}I(@ z%?EH6Eah8jAQW*x`FA=tHPASlmhE5rUrf6Sn_ux2s)>vE_7oBhCZ_V$22PM^Rsq>U zt^$bggxlx&jtT*#$ct+%Yh&kp{-h#NuhIF5nWyO#Z#7BY*DhIs$Xno%l(dVIQlZDIY1e_KLvnG69I6L#2 zyQeU*nLj7uP_+2o0R3NUvdPP#$uMtQOQ%zfufChSoI@fUPwpZv$vr|FZl0x1I2QI7 zif0l^+p-E?DI|VQGh=EMU=`Y@e0A}P%0u@KDg=?SV#4|59l$==vj*?jqhHVhqG?!= zD>`(M>uWjeRO0GX)(+XEe2ss{F|e>-#<(;{*?9Yp}&#HDAh#)c>I~nf@m=uZWcQ5Q`VA_ zka|_~$0IoDs7~kTH9WJFD?7^Y6@;q=(rLKoQT9SqyAv&hxJ}MwE>oYvE!b2W69a6C zanh*pe}pIOob7sMzn+oWrtrpc*y7H|U?65nZJD%u!a1=dX0k&3Cn}>~Cg`Zxl40{)1)$>^j?;i+EPzf6t;d5s#73y+FngGwoWDR}d(UqX?PA1t zOM-sd-Gc0?`N>{$1_(O)OouQ!3um@>M#bW@EJj9dnH>2{qShCvE2oJENBBevd+xz9 zNY8xQ?XydY|I!s2yQ%i5E{+#pI(61NZ#m> z{4jw67|ifXuS?jADn-{YJ+mJndUWj45#)MRH*b6aN5=y*BYEF_JTYX0XUwKVFngH* zyT=k~st*J6QN;`Zb@MzElK~CwVJ3>r@9ZNNYb5bbAS!j*=ebe8`LxwZEQQFlXBgGL zoYV9XY?TkByL*0D2;m&;4~mZ|4m=_k>qGX_!oJJ*f`(!Y-ekP?)_8TY%VT75ab}-4 z)LLWrs|n>PPMDO0iayY>3WT!TJs8kzNpEuC;l*f*bkZNIf@5Zf0n07yUAbieIj(8+aE$IMI{@o3A#(LW=sDt7J~HKpwPx zWD;_J4cchdNq3zO6S6S>)_6tF?wEH}ghJGo*qh^z_nj02C?Nahyr#wOUm&;K*IJ(* zUU~P9bA0cxNh}q&gpAHi`JBwR<z4m&{3Kq z_F~U+UOFU|Vo31WMZO`u%MpGV37`v2AY|f+1E(j= zQYc=}RgxY+uX>2F-%Aq)&w@+)Qf14BPv4U7dct?^3$s0gKE(~+(rJ57DDaG|nu;ZB z-(=hu+vn=-!O|2lpXO6M#KYI&YcAY5E03OmYn&VawYlK#f~a;b9ZZuFty znQ(D?piQ=iwAEdymkxy{m8FT79^CkxKJ|2Hyb+|PYOdShVcE(>CvI3FMvZc&Ho@Tx za%5CXYHKe&D9KGOq@c<`$+@Cm8F?Ll^X4k!pzkMB8Gw0=1J#svZ?^eZ_Z8gFOsK^j zOvV}iWTTa*pZnj}^bCLbCrkyD9L4oTt|yiTzR8a@FQpV#rFd-asYTSq9Z&Q~ah@}6 zW0m$Mu<{y;2Eo)S#O#PS)~92nW9@}IY=5~dFgMfWkcN?2l5$jW_$I}PEyu(=a!p^@ zOjA#Gd;Q4Ai6)uN1Fep2Itj^EzO zc%YpOUe17fWMkm$4PS?5Q`7Otg%%*Xr2TC+0z@|8sfO05svWSj+FSC<;6G~FEEVM#faI#1uW&DKDKkAqWK5aY9*T3(dYwDeOc zeeEq(Dy-$s_g*X{)ezXaHGpR5^t@kc!U_=)Jb6^rpzw+8oW7xtbOj(8X~CDwHa`0G zku-kT;X#w@{KM^+CR4p6NDdLauWR@^2RGzGuwFM&a;ka7zh9TPY;(heaVpmf6uUWx zBd9rxELy~AGq5XE^0}vNqpD_v11e%&67u%aVgT2SUfSQm(d;lx{ss`2_bTkMt6ogx zkI*y;N}y%~5q=fkavU|&n@@v7=6E3Kk++2WrZrnk0@Y}K|1)`@4PE;OSMp7%4MyMw z#+XqZVr-yPb?uV7>GycHx}@-5m`@d3+{ul9%(}-!qm&`Wp+l#HCPTBDQGD!v)5c0; z_%ABp6|{}xpnMNq%#uoHJ+(`)xMWYv?);>$9^EX=-#o4e(^9ApaMvY;n9!42LbuQQ zA;#-d46LCA35IJ8LjF7^z^JK?Pl{uk0_-ABXl(E|F*Z1f7qjGHf zhHQ+J4WSd5W2Mr~Gg%l<6m^W)Kn3X3sLGVx;Y(UhIr|6tv6l$}R}RTH+AWK{*d5eJ z=K3iXA|gL(9CDbwb&?h<26a8SXP~$8iksyz{ zalcJMF5ks0FIdkvha6(*QC{cqNfYs1bMhO2{Z@n>9A9r^F@zr%K{yBc-82MQXF~5! zlEKuXe<8LnFJ!@IFVUuWMkd}SX-gt|m@%bUu90jDNIxCtn2f)}eM)I3P_kmI-ST<- zc@|y}CW_=+id5URCWdDHC{dYY@3E+~nZeg{A{>PaFLncTMsmo;9z4_|E4vo%kfYEJ zES9CBnBm%1XrbDsQ$6Jddg473w8(;uedd0HMvXc+Rtz&-m)9?FF48X1{bYdc#)nO- zmNZcgrI-}3Lnm5I^-L(kKKf}oW0VWm&8l4HP%#~Jj?Ap>R)zfWZHC$%9PEJ#>&p;L zfxM}%@e%1g1sBWvgJU7m30IK=GE`2Y=lw*b`a0;{q#1QWZH3}80JxASlgC?>2>F^c zDTefoHbn8#awEAe;{N)AY$?!i+2nVvzg|okeRS?y0x?x0b5Qj-8tRJ?lRs@G+|C== zDd%DmMI$o~AtkGd~Ml-^biOlXO%7L!nw3`8Ul@vtOu4r^%d< z*rb*eR`#MhqrcRT!59$5=!YZI+s=S4XHHL_zfoYG%Lnm@DgdGnXPESL?>Gg+JncM zhXaYo4W@?sV-G90J=H$ks>I=Kzp#k%w%`mB?>RpK?l&QTcCrFJlVqZ(>B?{l+|4x9 zjwGTM|EH8e9~cm>QZ?GDW))9y`=6g)?Lak)yXo9{v2|&Bh#o8UYUo9^iPZTsI->1p zH<74t?=fBgk;$=x7J#Eb9ZSP8VCrPv<31+g-@Z*P;-nK|-T<}iT*+s1yC@m2t z6fqZ~Q}JcdwXVU}3W}}me->Zd(K8VS2r>=`vh4wM!q=cfH%mI#5~@B)kf4mDLZFZ* zy=OD2ZAKkVrCN{tg>hWkEG9+yA!5+3TWZMOiJb_fI^J;TF#*0|H**?Cxf$4|UcdtQ)4x#p;b1b9g(rQ(j1R(HA}+qi=hw zImxtOqRn6U5m32trwoW9j0}WoAP4`I{n=_pz~)ZN#%8$LaB^}F{5ZYMPTs**qb+*Oc2HxtG(pm)Nz zl#Hlk9&}fdaoi`q#i=Bn{#`#bWT9^5%IE1_%&WH~SW%I<(SSz-L>uR(=AGwgC!G8! zvWEVV1VO6%^v4!merI`%zqb#h%{vq$d~hKz+Ht6boR=Xi{3wzb>lSj8`7s=11$; zOO(0Ih~EqkGj0uz2-Z_S#jOJvAr`Ob%UrS(m;LUP#lUJm#jG;q0al?E-ACTiO9o8_ zOQfwNtvXkfX}{m4_AQ~}UuC}aq`Gw?9qqTq}t(>tmyIa$$n<%F9t-y zhZHh<&FC;ON=U?Ps@BgLndj?*w>&}{-k_L4w>~ltH4^L@?^&l+?)!{+U1P8@KN@Y$ z8V5QDJ!PqU#!((hi$)_b>UDmIy{HKKboDv(Q)*%pjh0x%`>-*dGm;_Ou4AC&w#^f4Q8GbR1^l%H`;3VlKZ5ctP~D zKKePB<-{E;beo6<_Hww@qSJTF*N_+rhmD`;^lvuG>FFj+%xandqz<-U6X&$xY!_7M z{!{A_$&s*#H`nW>S3zNy*4qBx$XkWRFEoJ`B4zDYL_J#lKrq$7j|q*+<#zilZ$5qD zAtjbpfv*Ax)HxF}g z1u!$sGpXtdoXNY->MyuK25j&z$WR0T*2t`G;S$mej3PY`S!^tg3)g$;R-nW0w$e-qQcI6}IiQwi zz@R7@4{ACq;tby(!>AJAZokBPo4wEymOvG^$rB)6cX_qO9xCitUP>z%O5EV#t!Z3H zBjImqeG?qL92;uIj{+G6-d^%#Ol%A>_UW=oPUYIo_rhp;*N@qY_d0iPw_XwlY~J@V zc7Dkcfunt^6@@(gHMlLzpb9bkL6lYaN+~sMkKelu`^-#PCl6X&yn`56M z5#0I_DZE^u5a@nkqNz8AThm9UAuAJtb&EC6BbwBV7f_Dw1#HS6r%089TX*0LrkBbOaP9Lg8i*DH^A`MYO0Kd~UTzPwr_M)fI^5^dZaEPHpsrV0@#4 z3W;5LjEKZ~tr{x&PIN!uV&vmKP$OQX&u&WC2QTai6J`f$g0ljm^b1p$g}z17&_Y<} zxaMk)FJ+yk_=<~YVj+WYRSn7cufh~<51%L@5ZQks?5-B^_a z`kG=dw>A(8$vdhA zFWie80!%4_Xah}7N>2`f*Za(RN4C<}3F__8)(FAdPZdl1*Lz}$J%}@cN0)H&_7Nz9 zhBKv6)+w8%Ny&L>)>1j@lI6Gh-If{AG#TUZs}TkINsc|0sZ|*7fV>HM14{>o=$tNt zHhtHlqdLgOuD@Eav5r{W3T+7PMJJxg(b;UeoSC#SFrHj~MZW|z_Bok!tam7yn)C%4 z6^x*nFxDZsRJFvVd@z^r>YQA&io^sidbVl#muBzRn&SNW%+kq(4A}Me#oxvhJ{M6M4}oL1{jYwh;wV zs0WahEm*V0qHlWz3F&U@f$u~OAH}Dl?p8-V<=0z0`^*v&PL?>a-4pq)s#@qpcO`(s zaT)Z8aVSs}_Xy4xG6(FQANYEh?{h6L^u&&U=S*yaYuQ8=VG{GYU}8=--8;iDy6I1n zX40*IWj9^X3qv@yh~?{T-nf>5hOC; zt}{VA57;Q=ja#xB_3h%F8ah8s2ThM)o3%Mq@Rq?Oo#_GfW@W(9Z-3?_+&A)}5|k^f zEj2k6V6noEhUhA);upCbK`%V!(u4pcI%0bQke(FVWgsh~LGyN`i{muTLpy(cO9tMa zDs^)Jzchp{bp#L*f|)+{F`BS7UohwXvUPo1eA`xQ&mZE zou`KTVqRc0Fv5F-wm48|0t6=0>s@RVWVNqI)d5m;8x7|UOs*rNK<$u|C)Q*z`_y9U zgCo#7<-m=5F3$Gg0Au#k-$RS~Aw(QW06XA~>Wsppv6O24b`@P3#5lv!97c8;ODMkl z$g!vT>glj>G1IUh8d-xntt*t^T2t*T8N01rR&LHuIIm(gy;~JXUJ6Pw z>}yJf#nkQhw^OptU!|K_?gZcK<4@4&ysq^Z&}cA(%r}Vdr__pAZETxOQiOTF|ALca ztW?NC_`_qy46O&!=ZU?nGNs70?m3^2TnQOPt^(K3S`N;4r8vnEx%I##KOE7EKPf#jHhO*HwZ6V=!n!tC zAv}HC#f(ebe{*+}s*+4)v7QR``7=T50Fk(>0YCe5lf56kb84+C-L23*0 z3UE$$*{6LW*7a&tw)DL@wD$vdJsfa&t(W^+=-8z4XXc<|1_TG2L4PkQei$LRh~Ka7 zHkAGhF{C8)Aope1#Ewl^_FM^~xC5ESbY425hcv#WQca$QzxOQUQY4eB>UH=m#6dy- zBScZ`Wr~*uV~TG=uOK5{lC=+8|4KT;`^Z2RZ4TH9G!^zx_$nbZE-V;T+Q>`#b=CD* z)1j+=a3#D{+UL-0Br+P=GE2Ec6@^yV%WZEUY;ipkC!YVt$FO**+wUW8FC1dEb1GY! zRysbXB>pI8obz`%|1iJ+Bu?iC!x@h8sz3hSI?tr3^l|&?d9rEQ0R@b22;jqCG-xUd zv7=r|z;v~1u%W?j#@;Zwqa)l9BM4|={BkE!;iVo@jCX9DQk2yQAUWJR^FCy8)X}6K zA-u^J*76V|nX)RWBSu{{HpeV6dlpijowEiiy z!GhCL8`hN>r^N>?$sdwZ;pJw@8wg{@G9U5eSsJ6#G7n5pv%I~LCEVar#w$OL>2>?u zl+PGD$cJk196?DZS(q44HU1h&8}GY8htnA6BI}jF8^;0yu#IJ>>qE*y954M_Sbkg> zLCOt}xA`_ZetlZ;{LC!HBxgp_s=XbR{BudG5r>A&$J>{UDjy{C<=mg!8DX#OX5dT| z-bTLCORkFYd%2dy`a2O{&6E6~n@QR0>em_fzSIxQKpDTlI;I_S&8fY;kL7(RW&) z2Ph=(9JqdF;k>;_y+R+{EaMfkVcX5Y@x}G)-z7~iv@H!AbUF)b@bEJ|sD2&-SHjyZ4+nvAqjMAhEWHhx~Z7cWJemjq*;w&0vZz=hr4 z4n@49b>!QIvrmv{WG3VK5BtS!@^#5!fLi7C<$hivC|OHPq*bg3{F0){^hNcH4vqN_ z=V7gWy#)bhmyv!d*jhjDel8}Z5@aJ6G-GULB6~FE*`uTe7COQfm8b=R0M4w9@ROlm zqo^bDpMkkByOaEnW(@+~x#flD8lp|$5 z!k_tnjgZ zzwanBGO<>Ly4}n9tQdHlwg!{j^z=))m6?Ymu5TLF2E!y5sia_N8DvRAoAdkN%FqDE z27N1MSrF(t;W7G8upN$E1YyaSPO}`s_d$aeV920VsGlZ3 zz(CxFOpkE=QI)J}22drWe4)lVnkr@Q`LN-urRT(pcINnWWteq|RggGkt7b;SFuK43 zfi@4r5l&}Zt8qwxDP#DiWO6mwr&qcB^wtzQy_8-YXyV-ER8f88jTgGsY3F2#L6gfK{ySVv`vGI znJQD|{TQj;L~YX(Y35G%7?|5;wvUa^{*d?Ferr~FrZA81e%+LF4(L4dPT%+I6XnI3 zdfAcDY@_-7i1-hIf#PAW19c^i&~m}_+d_ES^rMST|&QPG1eNv<5-{7xjV zUT+ypr+gXTm(#a8gg4GM8jE_*d7S->&E*A|_1VuMV8NL-e3eVJo)6ZD8c9CadHZsa zrg}b5s#!NismxO;2W`kVn3W9{_j z$~xzF@bSeHE$#!IBAA(g^JeF9G8czFP+?C;5K0whYfz%B>znezdK>c1X$_a_mJpa#L80uN!|D_r%?e zW1%UdqGUS9eW0Dgc;<+sKGU#aKpA3Ku*bhSVkWRT(cj?VfRc{$UF7{jecG*Op1!xtfK5i*|OY z`6oep5!G9-$lLdFb**k!A3=}j_<%+nvssl!HAotkxvO3XaR2aWVLf2kjxTay*V^vj&Ok`{``Cb(_aJ08#SUlHnuOBJFQx!%q$ zW#63CQN?SPSfTm%5b)ipDdzNQ@-~kfyHcx-2siO4%&|EA;EyqAM!4-xlS`x?!MX9TH<}b0-pW-NiRkP5%F(fV z`xJm$tsXakFzAV1Z11KV4{n5hpO*1cJY{F^XCZRs@tO@<;CpGjbZ4=eZnb?A6{` zBpGpa%D#IL6fO}Ep6ZFaM*5^-%Q9wJNI;lL8a z#~IP`KJh`2!lNTm9S)&1hNW2LMXEK+icv9d)40gCbr{Lp4d3_Itr_dPWOtr!y#6gz zSFy|&AwDrZM(zUz3c@XI{mu1R?`zj+*E8sWOgPq^84?Z^4+ zxc6F@(bVurv5-in{~SY@f8cnPdx>YQb(2U<|A^22=rS=!`DoKwx<5$NySF!g%_h;0 zqSWFi{K9wV6%soUakTDW#c%D_qV-=BO}7|ERP9b9@s@NF?;bovLP5i!{_j7`6oSaB zpaN&Z;Z=?(J4D2(WU|odoDcl}XW5^BEF|Ev@Kj)iYSUB0zoJdqqW{ki`m^Ga%`9d? z%yhx&WSAVf@Lk0~{vY2sN*nY9Tp4jTKaoK?+?5GM@E23JQ@i%JGUPekiz_5TmG-r?s8^H$`qBd5Pnu0kD?ia zS^S{8aJBQM>=PM*zbv0%e9HzGB!KK$c60d<~1VQk+EU4huY z7M@r{dG_qP==%kGBC$yPe;gMY4slu=J={1lpc1Qmzj3a%?fX2}tnnHD!jn_{|Dh!R zmTxN^SlrA?8elU`TG^aM^qp1~5zutpJo>k@2wOPV93H#!$fAtNhhe>rJn0zGW78yOWD$b0O;Q}+gv zAkMBg3*;3kYW=11yn^E9osjm)Mvbg^g^-V*Y zX1i1U4-qJPtHF(J_Jzll8~bVSKTh!T!yx<*#>WW$x44h>3NAcQy~aE~{bQAxHxkoh z=*En3_E#Q9PO|`G7}j653KNZ-3XyK(`A{KLg~cpjf#nMV0KETuTxP;StM3=)SvF>x z#VI*tWIxje-Q?9(Ym7ByrTk;@yEbZ+dJJ%7WOkq#PV;m>Bg*2l_Prcl^(vviSkH;f z@^(A$LiBlZ=el^_ho#9>l^r>Iloot;Z%Gtr?6*Q0(wG1IL7zV$sbYd_u(>HZdsly+ zQXpa(zZov?p?SCkiTxEQFwq={5U+pNI|m&LCAH}w=}JQ~OiAH?Ibs|=2{WkK`H7&7 zO7Gh}q)jk$&@fVLH@T~u2(V}G!sxI`N6%0r0Z;qIEi6ANNUTGExsxf`RjTk zvn#Xn4Oe-P!7Zp14$kQ=^ZXcu7By(Qo-nqb0>jR4ZTu%HN_^G`O8i*QZFinsd^4F` z-_{>WZ8la*V`S}5{|}rgR$kU>-&3evqq4V;j<{rftFP4gHqcbK$n-B*xARPJofi}M z;Ker+&v%{DE`8`A;x8Aj-?#lm6W+BYpcJBmP4PW|Ci+v*@Bs=(teHU33FI&OObwwA z(tHfnSB;t-mYFbV%ooafEr^s8sdk?5|AEp8Ixa_uuQu=Ih);Tc3MIM`Mf;vHFkxKr z7hrl5(pKBPXFE0vlWwRb{5lnOh8bmt86n!x zGsL3C2&ddYtF&;ov7}*UH5JlQn3EB4`(ED7R*cEtvP#jCI6!RMMyQMQ2X^L$Zv}zqO%Fuw|dGoqtgayJu<7??o3Uh@GC8H<_%{T|PtesC0Bb zu8sPq%}WHLY+!=}D@AJjn#s{3C~kg^CW0PeC2c09#w@D0@NFJq{SzhuY=0co@L{3c z($CFXA7mg#D8A7ItvAQ;D-xmGm~1W)5gFRs<@>*A1bDE^N6#?8)13=-uErvMpKlAx zsu+-_dkLO=tIuao|I3b<;UHn6LdkyaEp@FDe!%(BKaAulSDb;lJ@YpUEmk)JweKyu z>Uigh5d2zHx17_SEN`P*A96i>qYIjF;F(bQ=b@N+At|DR6WKTBZmN!~W=v(*8#*n? z^Jx#G~`@jL{ifI<2q~lK$sU{49l}hz%C#SP+o= ze)SUz^k%2zQA`hqb4+}rXO@qy?_ac&TCG5Wp?%NiI}}jQtr1ae{>27+!tY`)7YzU3 zveyQtVo5g~Ihp~H8+OaRTQ_y@#}C$Tto1+a<0vgJ-6w8^QBEm1EKp~f$_9#<-j6@t z&8y(uD7{+n)jgXdeXotNMEf?b5V<#bExY&2^w*0mo%ZWi*WHa}y^pj02I)*Gi#~p9 z?M^HXs?raLzF>7Pc3lta)ja--@89js`fmN>?TbUvNlV_vm+#lE!sf1ermd{IJ;jUP ztvhmfpGNxk{!Qw(Qq!FcgT9vn9e91R+)Fkr4!p;CMGE9V{m$e5ZkF52XWe~&A^BqK zRE|>q5*!xoXWGiX`}Myi_m<-U0*@3Q!wq;e_$_Kk(Nuq1$n10R`sS$9uPJF+M%zr*!vUbnsd z?V~GWA7~rSf49CT?DX-h^^vVuY~whid!b^(Y~B8gyY>6ptryLhmH5uv@^j;|xEV9g zFk;bgOYuTiLb>uCQ&Z>K^PIu@SJKz2VJTm|#WQ?2Sig+)Is0MNj9H4!$GNB9i&nRh zV9D>@S@PZ)OHOWZC})ilf1{S_bGD!gm=YvE@4qJkoT@9YjK2ISzwK%D;V-pfH<0w%AUVr$}{j~9^#vUEx7w7s={-Ai6fH#0It zbC#IhxO->j$Ecq_8QJ#myDX?aow4=L+T~{0R38?4;kv%4({4MLv`_!^ z@5N==z;|62clLkZP`?Xnx)WjA%T;Fn-Q4M({5_6}`y&0ZaXGr;&byVT_3h3r3I6$A zbKS~VY-RC_oeufUcON_5E1xdkc{4pcN$%FvAHQ{;Z~d|BU-_2Y`YF|$kDR#Etedxb z8MY?K1z>Bm>8^0>@wZ%6^0ta6{$6LB$G!@)#RM#goSB+=%I1rG*|*$gzl^5%v5tG( zkM65IJ@n(}@97n~|FzG3Ettamx_`08<4*-WC(a7)!djYh_~qWyraXdTW_}|0DZlfz?Cw$M5mowtRiS4nc6ds5Q1q+u?x Date: Wed, 17 Jul 2019 11:51:04 +0200 Subject: [PATCH 83/92] Notebooks with options --- docs/tutorials/clustering_Louvain.ipynb | 178 +++++++++++++------ docs/tutorials/hierarchical_clustering.ipynb | 73 +++++--- docs/tutorials/pagerank.ipynb | 6 +- sknetwork/hierarchy/paris.py | 5 +- 4 files changed, 182 insertions(+), 80 deletions(-) diff --git a/docs/tutorials/clustering_Louvain.ipynb b/docs/tutorials/clustering_Louvain.ipynb index 511600528..8ef5a399b 100644 --- a/docs/tutorials/clustering_Louvain.ipynb +++ b/docs/tutorials/clustering_Louvain.ipynb @@ -99,7 +99,7 @@ { "data": { "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, "execution_count": 4, @@ -108,7 +108,7 @@ } ], "source": [ - "louvain = skn.clustering.Louvain(engine = 'python')\n", + "louvain = skn.clustering.Louvain('python')\n", "louvain.fit(adjacency)" ] }, @@ -205,7 +205,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -255,6 +255,78 @@ "np.round(modularity,2)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Parameters**" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# default engine = numba if available\n", + "louvain = skn.clustering.Louvain()\n", + "louvain.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1 2 3 4 5 6] [7 7 6 6 4 2 2]\n" + ] + } + ], + "source": [ + "# resolution parameter\n", + "louvain = skn.clustering.Louvain(resolution=2)\n", + "louvain.fit(adjacency)\n", + "labels = louvain.labels_\n", + "unique_labels, counts = np.unique(labels, return_counts = True)\n", + "print(unique_labels, counts)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0 1 2 3 4 5 6 7 8 9] [9 8 5 4 2 2 1 1 1 1]\n" + ] + } + ], + "source": [ + "# node weights in the null model\n", + "louvain.fit(adjacency, weights='uniform')\n", + "labels = louvain.labels_\n", + "unique_labels, counts = np.unique(labels, return_counts = True)\n", + "print(unique_labels, counts)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -271,7 +343,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -281,7 +353,7 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 14, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -300,7 +372,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, "metadata": { "scrolled": true }, @@ -308,22 +380,22 @@ { "data": { "text/plain": [ - "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" + "Louvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 15, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "louvain = skn.clustering.Louvain(engine = 'python')\n", + "louvain = skn.clustering.Louvain()\n", "louvain.fit(adjacency)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -341,7 +413,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -366,7 +438,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -375,7 +447,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -389,7 +461,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 23, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -403,7 +475,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -414,7 +486,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -437,7 +509,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -446,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 27, "metadata": { "scrolled": true }, @@ -457,7 +529,7 @@ "0.32" ] }, - "execution_count": 24, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -482,7 +554,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -492,7 +564,7 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 25, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -511,7 +583,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 29, "metadata": { "scrolled": true }, @@ -519,22 +591,22 @@ { "data": { "text/plain": [ - "BiLouvain(engine='python', algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, verbose=False)" + "BiLouvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 26, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bilouvain = skn.clustering.BiLouvain('python')\n", + "bilouvain = skn.clustering.BiLouvain()\n", "bilouvain.fit(biadjacency)" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -553,7 +625,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -572,16 +644,16 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "BiLouvain(engine='python', algorithm=GreedyModularity(resolution=1, tol=0.001, engine='python'), resolution=1, tol=0.001, agg_tol=0.001, max_agg_iter=-1, verbose=False)" + "BiLouvain(algorithm=GreedyModularity(resolution=1, tol=0.001, engine='numba'), agg_tol=0.001, max_agg_iter=-1, shuffle_nodes=False, verbose=False)" ] }, - "execution_count": 29, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -593,7 +665,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -612,7 +684,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -638,7 +710,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -647,7 +719,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -656,7 +728,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:10.907094Z", @@ -670,7 +742,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:11.402102Z", @@ -684,7 +756,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -695,7 +767,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -705,7 +777,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -715,7 +787,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2019-07-09T11:27:14.032509Z", @@ -743,7 +815,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -772,7 +844,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -781,7 +853,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 45, "metadata": { "scrolled": true }, @@ -792,7 +864,7 @@ "0.573" ] }, - "execution_count": 42, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -803,7 +875,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -812,7 +884,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -821,7 +893,7 @@ "0.558" ] }, - "execution_count": 44, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -832,7 +904,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -841,7 +913,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -850,7 +922,7 @@ "0.569" ] }, - "execution_count": 46, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -861,7 +933,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -870,7 +942,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -879,7 +951,7 @@ "0.557" ] }, - "execution_count": 48, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } diff --git a/docs/tutorials/hierarchical_clustering.ipynb b/docs/tutorials/hierarchical_clustering.ipynb index 1dbe9b581..e7ce3bb02 100644 --- a/docs/tutorials/hierarchical_clustering.ipynb +++ b/docs/tutorials/hierarchical_clustering.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -43,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -59,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -68,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -77,7 +77,7 @@ "Paris(engine='python')" ] }, - "execution_count": 5, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -88,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -104,7 +104,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -113,7 +113,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -143,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 19, "metadata": { "scrolled": true }, @@ -164,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -182,7 +182,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -201,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -226,7 +226,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -235,7 +235,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -244,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -253,12 +253,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -281,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -290,7 +290,7 @@ "0.33333333333333326" ] }, - "execution_count": 19, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -301,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -310,7 +310,7 @@ "0.6514659468650328" ] }, - "execution_count": 20, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -318,6 +318,35 @@ "source": [ "skn.hierarchy.tree_sampling_divergence(adjacency, dendrogram)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Parameters**" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Paris(engine='python')" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# default engine = numba if available\n", + "paris = skn.hierarchy.Paris()\n", + "paris.fit(adjacency)" + ] } ], "metadata": { diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index 327247b46..12dfa29f3 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -828,9 +828,7 @@ " edge_color = 'grey',\n", " node_color = np.log(score), \n", " cmap = 'coolwarm')\n", - "show_labels = draw_networkx_labels(graph,\n", - " pos_labels,\n", - " labels = names)" + "show_labels = draw_networkx_labels(graph, pos_labels, labels = names)" ] } ], diff --git a/sknetwork/hierarchy/paris.py b/sknetwork/hierarchy/paris.py index 3ecc3a688..80f80078e 100644 --- a/sknetwork/hierarchy/paris.py +++ b/sknetwork/hierarchy/paris.py @@ -7,7 +7,10 @@ @author: Quentin Lutz """ -from sknetwork.utils.checks import * +import numpy as np +from scipy import sparse +from typing import Union +from sknetwork.utils.checks import check_probs, check_engine, check_format, is_square, is_symmetric from sknetwork.utils.algorithm_base_class import Algorithm from sknetwork import njit, types, TypedDict From 4ce22e5df80ec7c0ef74227781850e63afd2f7e2 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 11:51:58 +0200 Subject: [PATCH 84/92] PageRank engine selection --- sknetwork/ranking/pagerank.py | 10 +++++++--- sknetwork/utils/tests/test_algorithm_base_class.py | 3 ++- 2 files changed, 9 insertions(+), 4 deletions(-) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index cfa1669f2..e3b3df42e 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -8,7 +8,7 @@ import numpy as np from sknetwork import njit, prange -from sknetwork.utils.checks import check_format, has_nonnegative_entries, is_square +from sknetwork.utils.checks import check_format, has_nonnegative_entries, is_square, check_engine from sknetwork.linalg.randomized_matrix_factorization import SparseLR, randomized_eig from sknetwork.utils.algorithm_base_class import Algorithm from scipy import sparse @@ -85,8 +85,9 @@ class PageRank(Algorithm): * Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web. Stanford InfoLab. """ - def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: int = 25, parallel: bool = False): + def __init__(self, engine='default', damping_factor: float = 0.85, method: str = 'diter', n_iter: int = 25, parallel: bool = False): self.score_ = None + self.engine = check_engine(engine) if damping_factor < 0. or damping_factor > 1.: raise ValueError('Damping factor must be between 0 and 1.') else: @@ -103,7 +104,10 @@ def __init__(self, damping_factor: float = 0.85, method: str = 'diter', n_iter: raise ValueError("Number of iterations must be positive.'") else: self.n_iter = n_iter - self.diffusion = njit(diffusion, parallel=parallel) + if engine == 'python': + self.diffusion = diffusion + else: + self.diffusion = njit(diffusion, parallel=parallel) def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], personalization: Union[None, np.ndarray] = None) -> 'PageRank': diff --git a/sknetwork/utils/tests/test_algorithm_base_class.py b/sknetwork/utils/tests/test_algorithm_base_class.py index 09f2b6f1e..0bd05ab1f 100644 --- a/sknetwork/utils/tests/test_algorithm_base_class.py +++ b/sknetwork/utils/tests/test_algorithm_base_class.py @@ -18,7 +18,8 @@ def setUp(self): self.engine = check_engine('default') def test_reprs(self): - self.assertEqual(str(self.pagerank), "PageRank(damping_factor=0.85, method='diter', n_iter=25)") + self.assertEqual(str(self.pagerank), "PageRank(engine='{}', " + "damping_factor=0.85, method='diter', n_iter=25)".format(self.engine)) self.assertEqual(str(self.paris), "Paris(engine='{}')".format(self.engine)) self.assertEqual(str(self.louvain), "Louvain(algorithm=GreedyModularity(resolution=1, " "tol=0, engine='{}'), agg_tol=0.001, max_agg_iter=-1, " From d5bdfcadff61f553114a908494a291a14fff4c3c Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 17 Jul 2019 11:57:57 +0200 Subject: [PATCH 85/92] Notebook --- docs/tutorials/pagerank.ipynb | 150 +++++++++++++++++++++------------- 1 file changed, 95 insertions(+), 55 deletions(-) diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index 12dfa29f3..fc0e9a1c4 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -87,11 +87,11 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "pagerank = skn.ranking.PageRank()" + "pagerank = skn.ranking.PageRank('python')" ] }, { @@ -102,7 +102,7 @@ { "data": { "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(engine='python', damping_factor=0.85, method='diter', n_iter=25)" ] }, "execution_count": 5, @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -164,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -174,7 +174,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -197,7 +197,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -206,7 +206,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -217,7 +217,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:53.130694Z", @@ -228,10 +228,10 @@ { "data": { "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(engine='python', damping_factor=0.85, method='diter', n_iter=25)" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -242,7 +242,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -258,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.518668Z", @@ -268,7 +268,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdd1xV9ePH8de593KZgoiKuBfixp2KWrlym0pf09yrHGl+/fVNMjR3amX6NfUrjtzlKjW1zJGKW0TciLhQcYDI5s7z+4OkEIS7QNDP8/EgiXvO53wO5X3fz+d8hiTLsowgCIIgvCYUL7sCgiAIgpCfRPAJgiAIrxURfIIgCMJrRQSfIAiC8FoRwScIgiC8VkTwCYIgCK8VEXyCIAjCa0UEnyAIgvBaEcEnCIIgvFZE8AmCIAivFRF8giAIwmtFBJ8gCILwWhHBJwiCILxWRPAJgiAIrxXVy66AIAjmkWUZQ+ITDIlPkPVakCQUagdU7l4o7B1fdvUEocCTxH58glA4yAY92pi76B7cQNbrwGj4+0VJAiSURdxRl6qM0rU4kiS9tLoKQkEmgk8QCgGjJoWUqyeQdVqQjTkfrFCici+FQ6U6SJJ4miEIzxPBJwgFnFGbSvKlYNDrTD9JoUTpWhzHqg1Ey08QniM+DgpCASbLMilXT4Feb96JRgOGhBi00ZF5UzFBKMRE8AlCAWZIiEHWpQEWdMwYDWgf3EA25tI1KgivGRF8glCAaaMjMw9iMZcso497YLsKCcIrQASfIBRQRk0qhqSnVhaS3uoTBOFvIvgEoYAypiWBwvq/osa0ZBvURhBeHSL4BKGAkg16ix7tZSGe8QlCJiL4BKGAkpQqsMVMBBu0GgXhVSL+RghCAaVQO+Y+Wd0Ekp29DWojCK8OEXyCUEApHF1Q2DtbWYgStWdFm9RHEF4VIvgEoQBTe1UGhdLyAmQZu+JlbVchQXgFiOAThAJM5V4KLFxvU5YU2BUvk/6sUBCEDCL4BKEAkxRKnHyamN3q0xsMRNyK4qm9Rx7VTBAKLxF8glDAKZ3dcKzWGBQmttwkBWrXYuy/HkOLlq24detWntZPEAob0QciCIWAqkgxnGu1QHM/Av2T6PT9955fykyhRFKqsPOshNqzIv+p6YeTSxFatmzJ77//Ts2aNV9O5QWhgBHbEglCISMbdGhj7mF4+pinsY+JunePug0aYVe8bLYb0K5fv54JEyawc+dOGjdu/JJqLQgFh+jqFIRCRlLaYe9ZESefxtyU3Rg/fxWOVeqjciuR7d57H3zwAUFBQXTu3JmDBw++hBoLQsEigk8QCjFnZ2eSk3Nfi7Nr165s2rSJ3r17s3379nyomSAUXOIZnyAUYi4uLiQlJZl07FtvvcXu3bvp2rUr8fHxDBgwII9rJwgFkwg+QSjEXFxcTGrxPdOoUSMOHDjAO++8Q1xcHOPGjcvD2glCwSSCTxAKMWdnZ5NbfM/UqFGDI0eO0K5dO+Li4pgyZUq2zwYF4VUlRnUKQiFmMBhQq9XodDoUZu7C8PDhQzp06EDLli357rvvzD5fEAor8X+6IBRiSqUSe3t7UlNTzT7X09OTgwcPEhoayuDBg9Hr9XlQQ0EoeETwCUIhZ84Al+cVLVqU33//ncePH9OrVy/S0tJsXDtBKHhE8AlCIWfuAJfnOTk58csvv+Do6EinTp1ITEy0Ye0EoeARwScIhZwlA1yep1arWb9+PT4+PrRu3ZqYmBgb1U4QCh4RfIJQyFnb4ntGqVSyePFi2rVrR6tWrbh7964NaicIBY+YziAIhZwtWnzPSJLErFmzcHd3p2XLluzduxdvb2+blC0IBYUIPkEo5GzV4vunTz/9FHd394zVXnx9fW1aviC8TCL4BKGQs2ZUZ06GDRuGm5sb7du3Z9u2bfj5+dn8GoLwMohnfIJQyNmyq/N57733HmvWrOHdd9/lt99+y5NrCEJ+E8EnCIVcXnR1/tM777zD9u3bGThwIJs2bcqz6whCfhFdnYJQyOVli++Z5s2b88cff9CxY0fi4+MZPnx4nl5PEPKSCD5BKORcXFzyZd5d3bp1OXToEO3btycuLo7//Oc/eX5NQcgLIvgEoZBzdnbm1q1b+XKtqlWrcuTIEdq3b8+TJ0+YPXt2tjs7aO/dRhd1A2NqCpKdGmXRYjhUr4ukssuXegpCTkTwCUIhl9fP+J5XpkwZDh8+TMeOHfnoo49YvHgxSqUSWacj9dwJEv74BcPjByBJyAYDKBRISiUg4dKyPc6tOqBy98i3+grC88TgFkEo5PJqOkNOPDw82L9/P9evX6dv376kPrjHg2ljiftxGfr7d5B1WmStBgx60GmR01KR01JIPLiLh9PGknzyUL7WVxD+SQSfIBRyzs7O+drie6ZIkSLs2rULF4OW21PHYXgai6zJZXcHvQ5Zp+Xpj8tIOvJ7/lRUEJ4jgk8QCrmX0eJ7xl6pYHqNUjgqJDBjT2tZpyV+2xrSwi/kYe0EIXsi+AShkMuP6QwvknL2OHJyIsqs41tyJeu0xG9fb/tKCUIuRPAJQiEl63Xob1+ifNx1vunTBu2JnejOH8L49HG+1SHxj1/Sn+VZSBcdhe6B2AVCyF+SLJvRPyEIwksnpySijziD4c4VQAKDLvMBShWSkyuqao1QlPXJdrqBLWijbvJ4fqBVwYdCgXOzNrj3GWG7iglCLsR0BkEoRIyx0WiPb08fLSkbsz/IoEdOfILu3AEU965j17gDktL2f9W1dyIBKz83G41oIq/YpD6CYCrR1SkIhYQx7iHaYz+DXvvi0Psngx7jozvoTu5CNuV4M8mpych6g/XlpKXaoDaCYDoRfIJQCMh6Hdpjv6S39Mxh1GOMvYc+/Ixt6iHL3L9/n4MHD3L05Gn0RuuDDzuxmouQv0RXpyAUAoa718BoYavNoMcQGYqqWkMkhdKkU1JSUrh27Rrh4eGZvq5du4aDgwM+Pj50r1GZavYK01qfOVAVFau4CPlLBJ8gFHCyLKOPOJN1EItZhRgxRt9AWcY740dGo5E7d+5kG3CPHz+mSpUq+Pj44OPjQ/v27fn444/x8fHB3d09vUidlvsTh+Y+aT0HeoUSl6atLb8vQbCAGNUpCAWc8ekjtEe2Whd8QIxeydJz0Rnhdv36dYoVK5YRbs++qlWrRoUKFVAqc28dxm1ZRfKRveZ3wf4l2SDz9rYjDB0xglGjRuHl5WVROYJgDtHiE4QCTk5+CjaYkWCnT0WlUtGzZ8+MgHNxcbGqzCJvdSL56D6w5FGfnZpSHbpyYNwMFixYQM2aNenWrRvjx4+nXr16VtVLEHIiWnyCUMDpb19Cf/6Qxa2qDCo7HLqMtE2l/iHpyF7if16NrNWaURcVdmUqUnL8tIytimJjYwkKCmLRokV4e3szfvx4unTpgkIhxuAJtiWCTxAKOMO9CHSh+0BvXVcn9k44dBxmm0o9J3HfDhJ2/YSsMyH87NTYlS5HiTGBKByds7ys0+nYvHkz8+fP5+nTp4wbN45BgwZZ3Do16nQ83HmAhHNX0D5+gtLNBacKZSj9r06oPdwtKlMo3ETwCUIBZ4yPQXt4k9UtPsmjNPYt/W1Uq6xSL4USv30dhscPkA36LKNQJXsHkBS4tHoH147vIeUyjUGWZY4ePcr8+fM5dOgQQ4YM4eOPP6ZcuXIm1Sct+hG3lqzn9uL1yEYjhsS/d7BQODqA0Yhn19ZUnjCMoo3qmH/DQqElgk8QCgHN/nXIiU8sL0Blh13D9ii9qtiuUi+gvXuTpAO/orkVkb4Pn1LJ6SsRtPnPFFwaNLNoF/abN2+ycOFCVq9eTfv27Rk/fjxvvPHGC49/cuwsp7sOx6jRYtTk0ApVKFDYq/EOHEOV/xuWZ8u7CQWLCD5BKAQMd66gC/vT8pGdagfsOwxDeknPy2rVqsX69eutHrSSkJDAihUrWLhwIV5eXowfP54ePXqgUv09Ti/uxDlOvjMQQ4rp0yyUTo5U/r9hVAscY1X9hMJBPDUWhEJAUcYbLFxvM0Wj5Y/Ix+gNNlhlxUKNGjXizBnrV49xdXVl/PjxREREMGHCBBYsWEDVqlX55ptviI+PRxvzhFNdhpkVegCGlFQi5wXxcPefVtdRKPhE8AlCISApVahb9ASled2EBiRUXpX5ftcR3nzzTW7dupU3FcyFrYLvGZVKRa9evQgODmbz5s2EhIRQqVIlvn93AIY0y3aLMKamcW3Kdzaro1BwieAThEJC4eqBumUvsLMHE7osDSj4+XgYDzxrsnv3bnr16kWTJk3YtGlTPtQ2M1sH3z81btyYDRs2EBYaSsULd5BzeqaXi6TwmyRevGbD2gkFkQg+QShEFEVLYt+mH8qqDUClztoClBSgUCK5l8LhjU6kVGnMuz16kpSUxIQJE9i9ezeTJk1i+PDhJCcnZ3+RPODr68vly5fRaKzYuy8XDuF3cFRYtyaHUavj5n/X2KhGQkElBrcIQiElGw0Yo29gjLmHrEkFlQrJsQjKctVRuBTNOO6jjz4iOjqan3/+GYVCQWJiIqNHj+b06dP8+OOP+Pr65ngdfcwjNDeuIqcmg1KJskhR7KvXRWHvYFZ9fX19WbFiBY0aNbLofnNzY/4qrn7xDbLWuvmOrvVr0fLUNhvVSiiIxJJlglBISQolyjLemRaezs7ChQtp06YNU6dOZerUqRQpUoQ1a9awdu1a2rZty5QpUxg9enSmofyy0UjalXMk7tuB9lYEklKJbDCAJCEplWA04tS4FS5vd8bOs7RJ9X3W3ZlXwadPTLI69J6V8zrR6WXuPTHyNEVGpwelEpztoayHEmf7V3N6hwg+QXjFqdVqtmzZQuPGjfH19aVnz54A9O/fn2bNmvH++++zd+9eVq5cSfHixTGmJPH4+5noH97L2HlB/seqMfJf3yYfP0DyqUO4tnuXIh165ToHLq+e88XGxnL58mXunA/DVSGhMFrXiaV0drRRzQq2pDSZyAcGHjyVkSQw/GO9AQm49UiPq5NEFU8FJd1eradiIvgE4TXg6enJtm3b6NixI9WqVaN27doAVK1alWPHjjFp0iTq16/PuhVBVDu+C0NcbO4rxRgNYDSQuG87xpQkivYalOPhjRo14n//+5/F9/As4C5dusSlS5cyvk9NTaVWrVq0dS5JIzsVaKxo9UkSLtUqWX5+IfEw3kjYLcPfYffcZwUZkGV4mixz7paBssWM1CirfGUm+ItnfILwGlm7di1Tp07l1KlTFCtWLNNrv//2G9rV86lT3M3sT8SSWo1bz0G4+LV94TEajQZ3d3diY2NxdHxxqyq3gKtZsya1atXK+L5MmTJIkoRBo2WfV1P0iZYP2lE6O9Jk1wqK+TW0uIyC7lG8kdCbBsxpGCsUUKaYRO1yr0Zb6dW4C0EQTNK/f39CQ0Pp06cPu3btyrTiyVs+lXnsVQJMWWj6ObJWS8KvP+LcrPULV4ext7enRo0ahIWF0bRpU5MDrmvXrpkC7kWU9mrKDe/NrUVrLX7Wpy7pgXvzBhadWxikadNbcOb2BhuNcP+JTDEXI6XdC3+3p2jxCcJrRq/X07FjR+rVq8e8efMyfh67/BtSz59K7+OygGTvQLFBn+BYO3Nw/DPgFi1ahE6nIz4+PtcWnCVSbt/jUJ1OGFPN3xVe6eRIze++oPzgvFvI+2ULv6/n1iPZ7OB7xtkeWtU0f63VgkYEnyC8hmJjY2nSpAnTpk3jgw8+wJCUQHTgSKu3PkotXpr9ntVf2IJLSEggLi6OVatWWRVwObm/ZQ9hQyaaFX4KJwdKdWtLvTVfvzLPsZ5nNMrsv6BHb8z92BdRSPCGt5KizoW71Se6OgXhNeTh4cEvv/xC69atqV69OrWK2COp7DKN3rSE/PAuZ6KSXthFGRoaSv/+/SlbtqwtbiNbpf07YtTquPBRIMY0Ta4tWKWzI6W6t6PuitmvbOgBPEqQnx/DYjajDLcfGwt98IkWnyC8xrZs2cKECRM4uXY5hp3rkNNSrStQoaDsgh9f+LJWq8Xd3Z2HDx9avLGsqeJDLnIx8Fse/RGMvb19pqXMJKUChb09jhXLUHXiR5R+v8srHXoANx4auHbfaHX4uTqCX/XC3d0pWnyC8Brz9/fn3LlzzJwzl4k1TZuIniOlMseX1Wo1tWvXJjQ0lJYtW1p/vRy4NaxNSId6hDkk8VmDVsQdD0Ufl4DS2RHnqhUoP/x93BrUytM6FCR6g/UtPsCqrtKCQgSfILzmpk2bxkj/d9GkpqK2stGjdHbN9ZhnE9nzOvhkWWbZsmUsWrSIam+9lafXKgxUSgkJ68NPVbh7OQGxSLUgvPYUCgVzVq4hJtXKBaTt7HDOYR7fM3m5U8M/nThxAq1Wy5tvvpnn1yoMnB0kUzb1yFURx8LfJSyCTxAEihYtiken90jR5bJaS05kClTwLVu2jOHDh7/yz+5MVcJVQpat66dUSFCxRM7d2YWBCD5BEACo1MUfewfzdlzIoFTiUKs+yiJuuR5ao0YN7t27R3x8vGXXMkF8fDy//PILAwcOzLNrFCbXrl1j6JAhbFkzH4PB8pG7Tvbg6lT4P0iI4BMEAQCFvQOeH36GHjPf2BQKlEWKUqzPRyYdrlKp8PX15ezZsxbU0jTr16+nXbt2lCxZMs+uURhcunSJvn374ufnR8WKFZkR8BFqO8tGZCoV4O1V+Ft7IIJPEIR/cKjhS4nBn6A1cQSEQZJQuhWjxPhpKJxNn56Ql92dzwa1jBgxIk/KLwzOnTuHv78/rVu3pm7dukRGRjJlyhQ8SxSlQWUlCjM/2ygVUM5DolTRVyMyXo27EATBZpwbNMNj9Bdcik/BIEnZTlGQ1PbIShU7Iu/jOOoLVMVKmHWNvAy+M2fOkJCQQOvWrfOk/ILs9OnTdOvWjU6dOtG8eXNu3LjBxIkTcXX9e7Rt8SIKGlRWolRgUtteIUGFEhLVy7warT0QwScIQjbcatSl2tT/0mvXSeIq1EBV0gtFETeURT2wK1sJtx79KTNnJWFePkyf943Z5edl8D0b1KKwxRDGQuLo0aN06NCBnj170r59eyIjI/n3v/+Ns7NztseXcFXQorqKssUllFJ6i+6fFFL6l0cRiUZVlPiUVr1Sg4TEyi2CILzQ/v37+eCDDzhx4gQVK1bM8vqjR4+oWbMmR44coUaNGiaXazAYKFq0KLdv386yPZI1EhMTKV++PJcvX8bLy8tm5RZEsixz8OBBpk+fzu3btwkICGDAgAHY29ubVY7eIBP9VCY+2YjWkD5Pz8leokwxBY7WTuwsoF6fj0SCIJitTZs2TJw4kXfffZfk5Kz73JUsWZJJkybxySefYM5naKVSSYMGDQgJCbFlddm4cSNvv/32Kx16sizz22+/0aJFC0aOHMmgQYMIDw9n+PDhZocepE9sL+ehoHZ5FQ0qqahbQUXVUspXNvRABJ8gCLkYN24c9erVY+jQodmG25gxY4iKimLnzp1mlZsX3Z1BQUEMHz7cpmUWFLIss2PHDpo0acL//d//MWbMGC5fvszAgQOxs3Ck5utKBJ8gCDmSJImlS5dy48YN5syZk+V1Ozs7FixYwPjx40lLM30roMaNG9s0+EJDQ3n06BHt27e3WZkFgdFoZPPmzdSrV48pU6YwceJEzp8/T58+fVDmsjaqkD0RfIIg5MrBwYFt27axcOFC9uzZk+X1du3aUbduXb799luTy7R1iy8oKIhhw4a9MmGg1+tZv349tWvX5uuvv2bmzJmcPXuWXr16vVYDd/KCGNwiCILJjh49So8ePQgODqZatWqZXrtx4wZNmjTh3LlzJu23J8syxYoVIzw83OqJ5snJyZQrV47z58/n6V5/+UGn07Fu3TpmzZpFqVKlCAwMpF27dq/UqMqXTXxsEATBZH5+fsyYMYN3332XhISETK9VrlyZjz76iM8++8yksiRJomHDhjYZ4LJp0yZatGhRqENPo9GwdOlSvL29WbduHUFBQRw+fJj27duL0LMxEXyCIJhlxIgRvPnmm/Tr1w+jMfOixwEBARw+fJjg4GCTyrJVd+ezuXuFUWpqKgsXLqRq1ars2LGDDRs2sH//ft566y0ReHlEBJ8gCGZbsGABcXFxTJ06NdPPnZ2dmTdvHh9//DEGgyHXcmwRfBcuXCAqKoqOHTtaVU5+S0pK4uuvv6Zy5cocOHCAn3/+md27d9O8efOXXbVXngg+QRDMplar2bJlC6tWrWLbtm2ZXuvduzdFihRh+fLluZZji+ALCgpiyJAhqFSFY1/t+Ph4Zs2aRZUqVTh16hS///47v/zyC40aNXrZVXttiMEtgiBY7MyZM3Ts2JGDBw9Su3btjJ+fO3eOd955hytXruS4Mossy5QoUYLz589TunRps6+fmppK2bJlOXv2LBUqVLDoHvLLkydPWLBgAd9//z0dO3bk888/N2u1G8F2RItPEASLNWrUiPnz5/Puu+/y5MmTjJ/Xq1ePXr16MWXKlBzPlySJRo0aWTzAZcuWLTRp0qRAh97jx48JCAjA29ubu3fvcuLECdauXStC7yUSwScIglX69etH9+7def/999Hr/97Bffr06fz0009cuHAhx/Ot6e4syNsPRUdHM2HCBHx8fHj69CkhISGsWLGCqlWrvuyqvfZE8AmCYLU5c+YgyzIBAQEZP/Pw8GDKlCmMGzcux3U8LQ2+K1eucP36dbp06WJRnfNKVFQUY8aMoVatWhgMBi5cuMCSJUuyXeT7GVmbiiH2PoaHtzA8jsKYEGvW2qeCecQzPkEQbCI2NpYmTZowbdo0PvjgAyB99ZEGDRowefJk/P39sz3v7t27NGzYkAcPHpg1fP/f//43Dg4OzJo1yyb1t9aNGzf46quv2LJlC8OGDWPChAl4enq+8HhZlpGfPkJ/+yLG2PugUEDGu7EMdvaoKtRC6VUVyU6dL/fwuhDBJwiCzVy4cIHWrVvz22+/0bBhQwD+/PNPBg4cyJUrV3BycspyjizLeHl5cfr0acqVK2fSddLS0ihXrhwnTpygSpUqNr0Hc4WHhzN79mx27tzJyJEj+eSTTyhevHiO58g6DdrQfchJcWDQv/hApSo9A+u+ibKEab8bIXeiq1MQBJupU6cOS5cupWfPnjx69AiAt956i6ZNmzJ37txsz3k2wMWc7s6ff/6ZevXqvdTQu3TpEn369KFFixZUrlyZyMhIZsyYYVronfwVOSE259CD9NeNenTn/0QfHWnD2r/eRPAJgmBTvXr1YsCAAfj7+6PVagGYN28eixYt4vbt29meY27wBQUFvbRBLaGhofTq1Ys2bdpQr149IiMjmTx5MkWLFs31XFmW0Z7di5yWDLIx1+MzGA3oLx/D+PShFTUXnhHBJwiCzU2dOhU3NzfGjx8PQPny5Rk7diz/93//l+3x5gRfREQEly5donv37jarrylOnTpF165d6dKlCy1atCAyMpLPPvsMV1dXk8swxt5DTo43L/QyTjagCz9t/nlCFiL4BEGwOYVCwbp169i/f3/GCi6ffvopZ86c4cCBA1mOb9iwIWfOnDFpJOPy5csZOHAganX+DPgIDg7mnXfewd/fnw4dOhAZGcn48eNxdnY2uyz9zQu5d2/mQE6Kw5gcb/H5QjoRfIIg5Ak3Nze2b9/O559/zrFjx3B0dOSbb75h7Nixmeb7AXh5eeHo6MitW7dyLFOr1fLDDz8wbNiwPKx5epfks4WiBw4cyHvvvcf169cZPXo0Dg4OFpVpTE1EToixrmJGI4bbl6wrQxDBJwhC3vHx8eGHH37gvffe4969e/To0YNSpUqxZMmSLMea0t25Y8cOatasmWUvQFuRZZk9e/bg5+fHqFGjGDJkCOHh4QwbNszqFqb89DFYvduCjPFJtJVlCCL4BEHIU506dWLMmDH07NkTjUbDggULmDZtGo8fP850nCnBl1fbDxmNRrZv306TJk349NNPGTt2LJcvX2bAgAE2W/xa1mvBBrPHZL3OBrV5vYngEwQhz02cOJEKFSowcuRIatasSd++fQkMDMx0TG7Bd+PGDUJDQ+nZs6fN6mUwGNi0aRP169dn6tSpfP7555w/f573338fpVJps+sAINno7VZR+N62DUaZxFQDT5P0xCfrSdVYMLjHhsQEdkEQ8kVycjLNmzdn6NCh9O/fnxo1arBnzx7q168PpC/m7O3tzZMnT1Bk8+Y+adIkUlJSmD9/vtV10ev1/Pjjj8ycORM3NzcCAwPp1KlTnmz8Gh0dzdGjR3kScYGetUvj4mBvVXlSkWLYN+1mo9rlreQ0A9FPdMQk6DL18soyqO0kynjYU9xVhVKRvxvuiuATBCHf3Lx5k2bNmrFhwwYiIyNZvXo1R44cyQicihUrsnfv3izP8HQ6HRUqVGDfvn3UrFnT4utrtVrWrVvHrFmzKF26NIGBgbRt29ZmgWc0Grly5QpHjx7l6NGjBAcHExcXh5+fH61a+DGqgRdKrHjLVahQVWuEqlx1m9Q3rxiMMtfupRKfbMCYw+0qJEACnzKOuLvk336KhWPnRkEQXgmVKlViw4YN9O3bl+DgYJYuXcrGjRvp27cv8Hd35/PBt2vXLipXrmxx6Gk0GlauXMmcOXPw9vZm5cqVtGrVyur7SUtL4/Tp0xkhd/z4cYoWLUqLFi3w8/Pjs88+o3r16hktWN3VkxjuXrXiWZ+M0uvlLtGWG4NR5uKtFFK1xhxDD0h/XYbwu6lU9XKguJtdvtRRBJ8gCPmqdevWBAQE4O/vz9dff82gQYPo1q0bLi4uGcHXp08fgIyWmKXbD6WkpBAUFMS8efPw9fVl48aNNGvWzOK6P378mGPHjmUEXVhYGLVq1cLPz4/BgwcTFBSEl5fXC89Xlq+B4d41kA3mX1xSoChVGUmVP+FgCVmWuXo3lRSt0axsN8pwPToNtZ0CVycbP1vNhujqFAQh38myzODBg0lLS0OlUlGhQgUmDx9M+A+LUdwIx0mZ3kKS7B2gak36LV7FHxevZrvIdXaSkpJYsmQJ3377LU2bNuWLL77IWDTbnDpGRERkhNzRo0eJjo6mWbNm+Pn50aJFC5o0aWL2RPb4Sycw3rqAo9qcAJPAwQn7ps6JoGAAACAASURBVN2Q7Kx7RpiXElL0XL6TmmtL70WcHRT4VjJ/YQBzieATBOGlSEtLo1WrVvRp1Yw6Ny9QqZgbkl6fpRvQCBiQcPIqS4mhY3Go+uKdy+Pj41m0aBELFizg7bffZtKkSdStW9ek+mi1Ws6ePZsp6BwcHDK6LVu0aEHt2rWtGu356NEj2rVrx7zR/WhVpRQYTWj5SQqwd8S+cSckh7wPBWtcjUrhSZIFrdm/KCSoW8kJJ/u8bfWJ4BME4aW588cuktZ8j4PStCH6klpNiQ8/xaVh5u7KJ0+e8N1337F48WI6derE559/TvXqOQ8AiYuL4/jx4xkhFxISgre3N35+fhlf5cuXt/jennf//n3atm2Lv78/U6dOxRAdiT4iBAy67JcxU6S/+SuKl8OuZrMC3dID0OqNhFxPtnqqYsmidlT1smx1HFOJ4BME4aVIu3aJ6K8nI2s1Zp0nqe0pNWEqjj61efToEd9++y1BQUH06NGDgICAbLcqkmWZW7duZWrN3bp1iyZNmmS05po2bWrWgtPmiIqKonXr1gwaNIhJkyZlqpfxSTT6Wxf+3qZIoQA7B5Rlq6EqUw1JnbchYCuxiTqu30/DYOUUPbVKopG3i20q9QIi+ARByHey0cid8QMxxMdZVoCLK4vsPPlh9Wref/99PvvsMypUqJDxsl6vJywsLCPkgoODkWU5U7elr68vdnZ5P1Dk5s2btG7dmjFjxjBhwoQ8v15eMRgMpKamZnylpKRk+t6ocsOpeFUUSuvGTCoV8IZPERvVOntiVKcgCPku9WIoRk2axecnxz2hvLsLFy9epHTp0iQmJvLHH39kBN3JkycpX748LVq0oEuXLnz11VdUqlQpTyao5yQiIoI2bdrw2WefMXr0aJuWLcsyWq022xDK7ntTj3vROTqdDkdHx4wvJyenTN839mtHh54VUFsZfPnxn0i0+ARByHf3vwog7eoFq8pIcPdkhd6J4OBgIiIiaNCgQUZrrlmzZhQrVsxGtTXdP1tFYWFh9OvXjxEjRtChQwebB1JqaipKpTLbEMrue1OPe9E59vb2OX5wiEvSc+1eqtVdnQ52Eg2qiq5OQRBeIUZNGrdG9jZtRGMODDL8WsOPpm++RYMGDbC3zzr441mryJKgsSSQnrWK7OzsSExMpGTJknh6euZJIDk6OtpsAW1bMBplTkUkYbQi+CQJyhVXU7Z43g7kKTi/NUEQXgvGpAQklQpZa13w6YFzx4/y6x/7XhhIaWlpZrWK/vm9u7s7ZcqUMesce3t7QkJC6Ny5M8uWLeNf//qXbX5phYBCIeFZ1I7oJ1rA8v5Kz6J5/9xVBJ8gCPlKNhhs8iBHkiTq163L21W8KV++PEWLFs02kGy+y0IOjh8/Tvfu3Vm2bBnvvvtuvl23INBoNGxeu5TGbT/A3t6ykajuLkrsVHm/+4QIPkEQ8pXCuQiyPpt5a+aWI8vsP3aMyxt+5N69e7i6ulKuXDnKly+f7Z9eXl55GoKHDx/G39+f1atX07Fjxzy7TkF05MgRRowYQbVq1ej8bl8S9Zi9eotKCZU982fqhgg+QRDylcLJGZW7B/qYh1aV41C8JDt+WIEkSRiNRh49ekRUVBR37tzJ+PPkyZPcuXOHO3fuEBsbi5eXF+XLl39hOLq7u1s08nPfvn306dOHH3/8kTZt2lh1X4XJ06dP+eyzz9i1axcLFy6kR48eANx6qOHhU51J4ScBSiXUruCE2i5/9hoUg1sEQch3sXu3E/vjClQWjoRI0RtYfe8pPh8MpW/fviat4anRaLh3716WcPznn3q9/oWtxvLly1O2bFkcHR0zlbt7924GDRrEli1bbLLjQ0Elpyahj7qKIfo66LQYjUaSU9OISkij6ltdKFK2SqYPDQ/itNx5pMEI2Q54kf76RxFHJd6lHbDPp9ADEXyCIOQjg8HA+vXrmT31S7b51cDewg1IdUCr7cG4lShJbGwsgwcPZtSoUVSuXNmq+sXHxxMVFfXCcHy+S1Wr1XLo0CEmTpxImzZt8qVLNb/JacloLwUjP32Uvo6qnE2KKVWgUqPyaYLKs+Lf58oyT5L03IvRkqz5e8cGlRJKutlRyl2Ngzr/d5QXwScIQp6TZZmdO3fy+eefU6RIEUqUKEHNuPsM8ymLwsznfZLanqLdehNXsxFTp05l586d1K5dm0uXLtG8eXPGjBlDu3btst3F3Vr/7FLduHEjy5cvp2vXrmg0moxwzMsu1fxmTIpDe3pP+nqipkSFQomySj3sKtbJ9uVncfOy710EnyAIeerw4cNMnDiRxMRE+vfvz//+9z9atWrF/PnziflhEZozR3FUmdZCktT2uDR9k+KDP85487xy5QpTpkzh8OHDvP3221y+fJnU1FRGjx7NoEGDcHNzs/k9rV27ls8++4zffvsty+4PL+pS/ef3BoMhx4E45cqVy9Klmt/ktGQ0J7aDTmveiQolqupNUZXxzpuK2YAIPkEQ8sS5c+f4/PPPuXLlCpMnT+bq1ausXr2aJUuW0KNHD2JiYmjWrBlL+3SncnQkMoBOl31hKju0Wi1R5arRdsa32bYYzp07R2BgIKGhofTt25fbt2+zd+9e3n//fUaPHk3t2rVtcl9BQUFMnTqVP/74gxo1XrxFUk5y61K9e/cubm5uL3WUqiZkL8Yn0UhYEBEKJfYt3yuwC2yL4BMEwaYiIyMJDAzk4MGDTJo0iWbNmjFkyBAqVKhAUFAQnp6eaDQa2rVrR/Pmzfnqq6/Qx8US/esWYvZsw0GtxsHRCZBBlpGUSlzbdOFBmSq82aUbISEhOW4XdOLECQIDA7lx4waffPIJMTExBAUF4ePjw5gxY+jevbvFK54sWrSIefPmsW/fPry9865F86xL9UWDcJ7vUs1uII41XapyWjKpRzZjcWexQomysi92lUzbCzG/ieATBMEmoqOjmTFjBj/99BPjxo1j7NixLFu2jLlz5zJ37lwGDRqEJEnIssyAAQNITU1l06ZNGc/iVqxYwczp05gz/mM6t34bSJ/zZ1++MtJfQTVz5kyCg4PZvXt3rm/of/75J5MmTSIuLo7AwEAAFi9ezK1bt/joo48YPnw4JUuWNPn+vvnmG77//nv2799PpUqVLPkV2dSzLtWcwtGSLtWYmBiOrP2e1j6lsbdm9wq1A/ater/053nZEcEnCIJVnj59yrx581i6dCmDBg0iICCAxMREBg4ciCRJrF69mooVK2YcP336dHbu3Mmff/6ZaRpC9+7dOXbsGMHBwfj4+GR7LZ1OR5MmTRg/fjwDBgzItW6yLPPbb7/xxRdfIMsy06dPp3Tp0ixevJgtW7bQpUsXxowZQ5MmTXJ8g545cyarV69m//79lCtXzvRfzkv2fJfq8+F49+5dXF1dM6ZqpKamcvz4ccLXzKWYi5XPGJUq1A3fQeFWwjY3Y0Mi+ARBsEhqampG11/Xrl2ZMmUK5cqVY8WKFQQEBDBx4kTGjx+faXTlxo0bCQgI4MSJE5QqVSrj5ykpKZQsWRJ7e3tiYmJyDKHQ0FDeeecdzp8/n6mMnMiyzM8//0xgYCBubm7MmDGDevXqsWrVKr7//ns8PDwYM2YMvXv3xsHBIdN5kydPZuvWrezfvx8vL6/cr6XTYox/DDpN+tJsagcURUsiKQreFIdnXarHjx/nyy+/JDY2llatWrG0fxvUJg44eiGlHXZ1WqEsUfA+KOT/BApBEAo1vV5PUFAQ3t7enDhxgkOHDrFixQrUajXdunXj+++/5+DBg0yYMCFT6B09epRx48axc+fOLIG1b98+KlasiJ+fX65dY/Xr12f48OGMGjUKUz+3S5JEz549OX/+PKNHj2bEiBG89957NG/enIiICL788kt+/PFHypcvT0BAALdv30aWZf7zn/+wY8cO/vzzz1xDz5j4BO2FI2gO/Yju/EF0l4+hu3QUXeh+NAc3ogs/jZyaZFJ984vBYGDNmjUMHz6cfv36cfPmTTZs2IDaVhv0WrkDR14RwScIgklkWWbLli3UqlWLjRs3snXrVrZu3UqNGjXYtm0b9erVo27dupw8eTLLCMrIyEj8/f1Zs2YNdepkneO1fft2PDw8aN68uUl1CQwM5MqVK2zZssWse1AqlXzwwQdcuXKFPn360Lt3b7p160bp0qXZs2cPwcHBpKWlUb9+fapUqcKOHTvYv39/js8CZaMR7fk/0Z78FeODyPQ3e70ufe7bP74Mdy6jOboNXWSoyYGdl06fPk3jxo3Zt28fR44coU2bNqxbt45PPvmExJRU6y8gAXZ5u72QpURXpyAIudq3bx8TJ05ElmVmz55Nu3btkCSJ+Ph4Pv74Y44fP86aNWto1qxZlnPj4uJo3rw5Y8eOZeTIkVleNxgMlC5dmlKlSrFo0SJatmxpUp2OHz9Oz549uXjxIh4eHhbdl0ajYdmyZcyaNQs/Pz+mTZtG9erVGTp0KIcPH87Y42/06NEMGDCAIkWKZDpfNhrRhuxFjn9keutGoUJZxhu7Gk0tqrO1IiMj+fTTT/njjz+oU6cO8fHx3Lhxg6pVq+Lr64uvry99fMviIWms2FyI9CkNrXoj2altVXWbEcEnCMILnT59moCAAO7cucOMGTPw9/fP6L48cOAAgwcPpnPnzsybNw9nZ+cs52u1Wjp27EjdunWZP39+ttc4fvw4w4cP5+bNm8TExJg1cXv8+PHExMSwdu1ay27wLykpKRnPK11dXfHw8GD//v24uLhw+PBh/vvf/3LgwAH69evHqFGjqF69evr9XQzG+OCG+V16ChWqag1Rla9pVb1zotPpCA8PJywsjHPnzhEWFsapU6cyNsjt3r07TZs2xdfXl5o1a2bayNcY9xBt6B9gsHQXDQmFV2XUtU37EJPfRPAJgpDF1atX+eKLLzhx4gSTJ09m8ODB2P313Cc1NZWAgAC2bNnC8uXL6dChQ7ZlyLLM8OHDefToET///PMLJ1tPnDiRe/fuERERwYkTJ8yqZ3JyMnXr1mXhwoV07tzZvJt8jk6no0+fPoSGhhIXF4e/vz+BgYEZozijoqL43//+x/Lly6lTpw7/9/FI3nRKsvw5ltIO+7f72GTQy5MnTwgLC8v0dfXqVcqVK4evry+VK1fm6NGjREVFsXz5ctq2bZtjebIsowneCmkWPpNUKFE36YSiiGUt8bwmnvEJgpAhKiqKYcOG0bJlS5o0acK1a9cYMWJERuiFhITQsGFDoqOjCQsLe2HoAcydO5eQkBA2bNiQ4wojO3bswNXV1eTne//k7OzM8uXL+eijj4iPjzf7/Gc0Gg29e/cmNTWVS5cuERERQbFixfD19WXcuHE8fPiQcuXKMWPGDG7fvs2gQYO4f+YQGo3G4muCjPHhbbPOMBgMXLt2jU2bNjFp0iS6dOlCuXLlqFixIoGBgURERNCsWTOWLFnC48ePuXLlCu3atWPlypW0bNmSK1eu5Bp6kD4YyK76G2BJKCuUKDxKF9jQA9HiEwQBiI2NZfbs2axatYoPP/yQTz/9FHd394zXdTods2fPZtGiRSxYsIA+ffrkWN6WLVsYP348x48fp2zZsi88LiIigjfffJP69eszZMgQevXqZVH9P/zwQ2RZZtmyZX/XOT4R7eMnGLU67NxdsfcsjpTNwtVpaWn06tULtVrNjz/+mKnL78GDB8yePZu1a9cyYsQI/vOf/1CsWDFkowHNwY3pA1esILm4Y988+53aExMTOX/+fKZW3MWLFylRokTGs7hnX5UqVcqyKPfVq1f58MMPSUtLIygoKMuaoqbQ37mMPiLEjOeXSiQXd9SNOiApC+52ryL4BOE1lpSUxIIFC5g/fz7/+te/CAwMzDJsPzw8nP79++Pu7s7KlSspU6ZMjmWeOnWKzp07s3fvXurXr5/jsd988w3h4eFs3bqVixcvmjRPLjvx8fHUqVOHVStXUkdvR+TXy4k7HopCbQeShKzTY+dWhEqfDKbc4F6oPdJDPSUlhe7du+Ph4cHatWszWrbPi4qKYvr06WzdupWxY8cy/sOhqC8dtOIZ2N/UbQdy+/btLF2VDx48oFatWpkCrm7durkuuq3RaJgzZw4LFy5kypQpjBo1yqo1PfXRkegvH0v/lxcFoCSBpEDhUQa7Oq0KdOiBCD5BeC1ptVqCgoKYMWMGb731FtOnT6dq1aqZjjEajSxevJgvv/ySadOmMXLkyFzn2N2+fTt94emlS+nWrVuu9WjVqhV9+/Zl7ty53Lhxw6p72jV/MfETv6OYkzOGpJRsj1E4OoAsU3F0P8oEfEjXbt2oWLEiK1euNCkcrl+/ztSpU4m5cZUfJ32Evcq6p0U6g4Hqgz8HpV2mgKtXrx7e3t5mB1ZwcDAjRozA29ubRYsW2WyVGVmnQX8/AsOtS+mtXEkCmfQpC0YjilKVUJWvhaKIe25FFQgi+AThNWI0Gtm4cSOBgYH4+Pgwa9asbFtld+/eZfDgwSQmJrJmzRqqVauWa9nx8fG0aNGCoUOH8sknn+R6fExMDFWqVGHOnDkEBwezbt06i+4J4NHvhwl572OMqWkmHa9wcuCy2sjV7m/wv2XLzN677/q5UxSLOoeTvXUTvWUguV4nipf0tKqcp0+fMnHiRHbu3MnChQvp2bNnnqyRKcsycuITZG0qGI1IdmqkIsWQVAVvykJOxOAWQXgNyLLMrl27qF+/PosWLWLlypXs2bMnS+jJssz69etp0KABb775JsHBwSaFnl6vp3fv3rRs2ZJx48aZVKddu3bRtm1bTp06hZ+fn0X3BRB/9hJn/2V66AEYU9KomqRnrGM5s0Lv6dOn7N69my3bf0WltD5YJIUSDw8PDI+jMNyLQH/vGoZHt5G1pt3LPxcVkCSJS5cu0atXrzxbGFqSJBSuHiiLl0VZsjwK91KFLvRAtPgE4ZV39OhRAgICiI2NZdasWXTr1i3bN8bY2FhGjhzJxYsXWbt2LQ0bNjSpfFmWGT16NDdv3mTnzp0mb/nTq1cvunXrxuzZs/npp5/w9fU1676eCW7mT/yZCxadq3Cwp2XIdlyqZb/bwp07dwgODs74unHjBt7e3pQoUYLv+r9DZc9iFl0XSO8udCzy15QBCTL2vZNANqIoUR5VxTooima/yHNUVBRjxowhIiKCZcuW0aJFC8vr8poRLT5BeEVduHCBbt260bdvX4YOHcr58+fp3r17tqG3e/du6tatS9myZTOmLJhqwYIFHDlyhJ9++snk0EtLS2Pfvn00bdqU6OhoizeJTbwSSeLFaxadCyAbDNz67xogfarA+fPnWbx4Me+//z5eXl7UqVOHqVOncvDgQaKjo1GpVLi6ulK9enXuK4uiNVjRbpBlSElIHyBj0P3151/fGw0YH95Ee2Y32tB9yP8YVGIwGPjvf/9L/fr1adiwIaGhoSL0zFSwh94IgmC2mzdvMmXKFH7//XcCAgLYtGlTph0H/ikpKYkJEybw+++/s27dOt5++22zrrVjxw7mzZvHsWPHcHV1Nfm8AwcO4Ovry7Vr13jjjTcsHnV467+rMeotH1kp6/TcWPETH53czdmLF1Cr1djZ2ZGQkECpUqVo3rx5pkEnFSpUQJIk7t69y/9N+Dd1+7yN2sn8XcZlQJJlyG13c4MeY8xdtKd3o27ciQsXLzF8+HDs7e0JDg7OWEFGMI8IPkF4RTx8+JCZM2eyfv16Pv74YyIiInIMo2PHjjFgwABatmxJWFhYrsPkn3f27FmGDh3Krl27qFChglnn7tixI2P/PUsmrj/zcMd+0Fu3A0CaTkvRB0957733MpbwqlOnTpZ1OSF9PuPChQuZPXs2o0ePpkiTDnD5iNmrt5gUes8YDRgTYjm99r90+XQWs2bNYsiQIWYPyBH+JoJPEAq5hIQEvv76a77//nv69+/PlStXctxNQKvVMmXKFFatWsWSJUvo0aOH2de8e/cu3bt3Z8mSJTRp0sSsc41GIzt27ODQoUMMHTo0Y3d0S+gSrd/mx7WIK0HfzsTLv2OOxwUHBzNy5EhKly7N8ePH8fb2BkCvkNBfPGxS+Mmy/NfCz+Z1kUpGA9WLO3Hx9AlKVqhs1rlCViL4BKGQSktLY8mSJXz11Vd07NiRkJCQTDudZ+fChQv079+f8uXLExYWhqdn5mH0siyDXous0yIplWBnn2UtyaSkJLp27cqYMWPw9/c3u94hISG4ublRoUIFzp49yxtvvGF2Gc9I1u0fAKSv9zl79lck7d5MyZIl8fT0zPjT09MThULBvHnz2LdvH/Pnz8ff3z/Tc1JVqYooHJzQXTmOnBwPsjH9+V2miioA+a/gs+y5oNrODsfUR4AIPmuJUZ2CUMjo9XrWrl3Ll19+Sf369ZkxY0aug0MMBgPffvstc+fOZc6cOQwePDjTm7esTUN/9xqGO5dApwWFIv3NW5ZReFZAVaE2CrfiGAwGevToQcmSJQkKCrJo2PwXX3yBXq+nR48efPjhh5w7d87kc9PS0jh//jwhISGEhITQdn0wRfTWvYVJzo4Y/jOAR55uPHz4kEePHvHw4UMePnzI1atXefDgAQDFihXDy8srUyg+H5Rebk4UT42BuOj0PfkkQKVG6VUFw8NbkGL5eqIAKFXYv/1BgV8ZpaATvz1BKCRkWeaXX35h0qRJFC9enI0bN5r0fOzmzZsMHDgQSZI4deoUlSr9PXRfNhrRXz2B4f719B88664zGDOOMT64hfZRFJKTC3N3nSA5OZnFixdbPFdsx44dLF26NNfne6mpqYSFhXH27NmMoLt27RrVqlWjYcOGNGzYELu7qRgPhKCw4vO7Aol3/j0apcPfa3SePXuWkSNHUqlSJX777Tdq1qxJTExMRij+MxyvXbuW6WePHj3CwcEhSyh+272hDebXScipiUguhWOFlIJKBJ8gFAIHDx5k4sSJaDQavvnmGzp06JDrm6gsy6xcuZKJEycyceJExo8fn2lAhGw0oA35w4RNVGUw6jEkxvFRk4p8PGokarVlk5Zv3rzJw4cPeeONN/j2228zni+mpKQQFhaWEXAhISFcv36d6tWr07BhQxo1asSHH35I3bp1SUtLY+PGjaxYsQL5/mO+VDqBha0+yc6OckP8M0Lv6dOnBAYGsnnzZmbPns3AgQMzfmelSpWiVKlSuZYpyzLx8fEZIXjnzh2io+5gkGVU1gafRHqLXLCKCD5BKMDOnj1LQEAA169fZ8aMGfTu3duk0XwPHz5k+PDhREVFcfDgwSxdobIso7twyKydwxWShIujA1L4UWSP4kgOLmbfz44dO3jnnXc4fvw4e/fuzdjR/caNG9SsWZMGDRrQtGlTRo8eTZ06dTJ2SpBlmcOHDzNixAh27NhBu3btmDlzJm3btuVQs16khF6x6GmfpFRQcXR/ZFlmw4YNfPrpp3Tt2pVLly5l2tU9LS2NuLi4TF9PnjzJ8rPsXpNlGc8SxRkV9KUFNcyGGM1pNfGMTxAKoIiICAIDAzl8+DCBgYEMHTrU5FbWtm3bGDVqFEOHDmXKlCnZnmd88sCKHbYlFKUqoq77Vq5HJiUlERoaSkhICGfPnmXr1q3o9Xp8fHyIjIxk/vz5NGrUiNq1a2dbz+joaFavXs2KFSuwt7dn6NCh9OvXjxIl0lcz2bhxI3NGj2dKclHURjPfyuzVpL7dkLN1SrNx40aSkpJo3LgxKpUqS4AZDAbc3d1xd3enWLFiGd9n9/X8646OjkiSRNq+1dbv5qBQYt/yPSSHrLvdC6YTLT5BKEDu37/PtGnT2LJlC//+979ZsWIFzs6mvcnFx8czduxYjh49yrZt23J8fqa/ddGKN2EZ46M7yDoNkt3fz8USEhI4d+5cpu7KO3fuULt27Yzuyq1bt/Lw4UN27drFzz//zIgRI7LWTa9n9+7dLF++nCNHjuDv78/atWt544030Ol0xMXFERISwuTJkzl37hyeFUuzJPopY546oNAbTGr5aRUQWdSOVZGnuLHvJm+++SZt2rShePHi2Qabk5OTVc/nrl+/zqO7T6hTwhk7leVbBEnORUXo2YAIPkEoAOLi4pgzZw5BQUEMHTqU8PDwTF1tuTlw4ACDBw+mc+fOnDt3DheXF3dDypoUjE/uWVVfGQg/tIddYZEZIXf37l3q1q1Lw4YNad26NZ9++ik1a9bM2ONuw4YNtGnTBmdnZ/bt24e3tzcnTpzIaF2Fh4dz4MABzp49i7OzM2XKlKFWrVqcPHmS3377jbi4ODQaDS4uLiQnJ+Pm5oYkSURHR9Ooa1cuympqbD+BKiUNSaPLNgCVzo7IRhll15YsCv4Vv/p+7Nu/3+J9AHOSlJTEli1bWLVqFVeuXGH8iCHU86qGuXP4MijtUFU2fzNZISvR1SkIL1FKSgoLFy7km2++oUePHkyePDnHHcufl5qayueff87mzZtZvnw5HTp0yPUcw/3r6K4ct7rbLfzeI+btv0ClSpUoXbo0RYoUISEh4YXPv65fv47BYED/1xJjpUuXxtPTE41Gw4MHD0hKSqJu3bq0bNmS6tWrZ2l5ubm5ERQUxNy5c/nqq69Ys2YNXl5erF69OqObVJZlngSf4cY3y3m8NxhJpURSKDBqdTiU9sRt0LvMOraXSzeus3jxYlq3bm3V7+B5sixz9OhRVq1axbZt22jRogWDBw+mS5cuqNVqNMe3IyfEYlH4qdTYv903y7xKwXyixScIL4FOp2PFihVMnz4dPz8/goOD8fHxMauMkJAQ+vfvT506dQgLCzO5hSjrNGA05n5gLhztVJw8eZJr165l6RosVaoUNWvWzPh3FxcX2rZtS1hYGMWLF8fLy4sOHTqwZcsWmjVrxpdffpkRDtl58OAB//rXv0hISODXX3/lww8/xM/Pj4ULF2Ya7CNJEh4tG+PRsjFGrRbtk3iMGi2ykwMLli3l2/nTmDBhAht+3poxcMYW7t69Wrx/RgAAIABJREFUy5o1a/jhhx9QKpUMHjyYy5cvZ2lJ2vm+jfb4dtCbOTJToURdv60IPRsRwScIJpBlmcRkLfFJGnR/rQ2pUilxc7HH1Vlt8vMfo9HI5s2b+eKLL6hUqRLbt2+nUaNGZtVFr9cza9YsFi1axIIFC+jTp4/Z92ML5cuXJyIiwqRj9+7dS7Vq1dizZw/fffddxvnnz5/PtYW7Z88ehgwZwtChQxkwYACdO3emX79+TJ48Ocffu0KtxqFUCfbv38/o0aOpVq0aZ86cyXV1G1NpNBq2b9/OqlWrOHnyJP7+/qxZs4Y33njjhfVSOLmibtwJ7end6RPcTWn5KZTY+b6Nopjtu2NfVyL4BCEHBqORmKepxMSlIMtgzPRkQEdCkgZJAo+ijpQo6oRSmf1Qc1mW2bt3LwEBAahUKpYuXUqbNm3Mrk94eDgDBgygaNGihIaGUqZMGbPLkFTq9CHxButafZJd7qNMjUYjBw8eZMyYMURFRXH8+HFatGiBl5cXX3zxRY7najQaAgIC2Lx5Mxs3bqR48eK0bt2agIAARo8eneu1o6OjmTBhAseOHWPhwoV069bN5Ht7EVmWCQ0NZdWqVWzcuBFfX18GDx7M1q1bcXJyMqkMhasH9s17oLtyDGPs/fQfPj+lRJJAUiAVKYZdjWYo3LLfk0+wjAg+QXgBnd5A5N04dDrjCz+XG2UZZHgcl0JcQhpVyrqjtsvcHXXixAkCAgKIjo5m5syZ9OzZ0+wRgkajkcWLF/Pll18ydepURo0aZfEoQ4VHmfT1JK2hUKIolf3mrZDe9bdq1SqO/P4rwzq0ZOfkDynjWQKV2p4bUffRFCuDrNchqeyyPT88PJw+ffpQoUIFzp07R3h4OG3atOG7777LtYWr1+tZvHgx06dPZ/jw4QQFBZk8MvZFHj9+zPr161m1ahXx8fEMGjSI06dPZ1oFxxySowvqBu2RNSnoo66mr5yj06S/qLJDWaIcygq1UDgXtarewv+zd95hUZxdH763UQXFjorYsBs7sTcsYIlfTGKJjWaLJRoTNcbEHqMxMcaWGBAVazRqbNg1AhYssSuiIooICEhfts73By8bUdrugknM3Nc1F8vOzDOzwzK/Oec5JW/E4BYRkTzQ6vRERCWhMdIqksuk1K1eFrlcyq1bt/jiiy+4ePEic+bMYeTIkUVu1Poi0dHReHt7k5qaysaNG6lbt67RY7yM6tIR9IlPTC/xLJVh2WkgEou/etGp1Wr27duHv78/ktRnLP/YkyplSiFBeOU4glSGBJA61kLh0tpgPeZUm5k+fToLFixgzJgxBAUFMXLkSAIDAwsN3jl37hzjxo3DwcGBVatW0aBBA1M/IVqtlkOHDhEQEMCxY8fo168f3t7edOnSRWwJ9C9HtPhERPIg6mmK0aIH2YIZ/jCepQs/58CBA0yfPp0tW7ZgbW1t9FiCILB161YmT57MpEmTmDFjhknC+TLJyckE7D3BiJY1sLUyLcBDWsHJIHq3b9/G39+fwMBAGjRowLwJXrR2kCLR68hvDkvyP9eePuY+6qSnWLTyICVLw5gxY7h16xanTp2icePGbNmyhSlTprB3717atm2b7/kkJiby+eefs3//fpYuXcqQIUNMtojv3LlDQEAAgYGBODs74+Xlxbp164zuVyjyz0V8bBEReQmVWktmlsbk/TOUKho2fouIiAimTp1qkuglJiYyePBgFixYQFBQELNmzTJb9ARBYPPmzTRs2JA7sc+xrOQMpkQJyi1QV23IunXraN++PW5ubigUCkJCQji2bT2uBtEryknpEbIySA3ZTad2bahQoQJhYWE0btyYFStWMH36dE6cOJGv6On1egICAmjUqBFWVlbcvn2bDz/80GjRS0lJYe3atbRt25auXbsiCALHjx/n7NmzjB49WhS9NwzR1Ski8hJP4lNJTMkyYwQBB3trnCrl3/28IIKCgvD19WXQoEEsXLjQJOF8mdu3b/PRRx+RnJzMmjVraNOmDYJOi/rS4ey8siIKlQ4p3x37k2W/bKBTp074+PjQu3dv5HI5gjoLVfAOo7uRA6g0GhIlttTy+BBBEJg9ezbbtm3jyJEj+UZhXrt2jY8++giNRsOaNWto0aKFUcfU6/WcOnWKgIAA9u3bR7du3fDy8sLd3d2QdC/yZiK6OkVEXkAQBJJSzRE9AAnJaVlUrWCHVFp0yyM9PZ1PP/2UoKAgNm3aRNeuXc08j+wE+fnz5+Pn58dXX33FuHHjDJajRCbHopUHmltn0Mfez94hj/w+AVBmqYlLTmXSzztx6/dunjlq2idFS23IC0uFgipSHdqsTCZ98innz58nJCQkz07yaWlpzJkzh8DAQBYsWICvr69Rc24PHz5kw4YNrF+/Hjs7O7y9vfn+++8N9T9F3nxE4RMReQGdrvgcIFqdHosiuhLPnDnDiBEj6NixI9euXSsW19revXuZNGkS7dq149q1a3mW5ZJIpVg07oDg0gLt43B0j25lW2wSCTqtDr1ex9FLNwiOfMbmfUeIjIzMM0JSEIS/9jWDjUvmcvv2bU6ePIm9fW6LWRAEQw3THj16cPPmzSKLVWZmJrt27SIgIICrV68yePBgdu7cSYsWLYqhR57Ivw3R1Ski8gIqjY6IqESMLfT/MlKJhDrVHbCyKPjZUq1WM2fOHAICAli9erWhP505PHz4kEmTJhEeHs7q1auNyhd8GBnJr5sDObh3D6VKl6b/+4MYOHgIpUuXZuDAgTRt2pQvvvjilf30yfGoLx8xuwza0+R0HPv5YmVllev9iIgIJkyYQExMDGvWrKFDhw6FjiUIAufPnycgIIAdO3bg6uqKt7c377zzzivji/y3EINbREReQCaRmFpCOBc6nY70tLQCt7lx4waurq7cuHGDK1eumC16arWaRYsW0apVK95++22uXbtWJNFTqVRs376dnj170qp1a6LjE1j+SwD7j55k1JixButz0aJFLFu2jPj4+FfGEFSZYHpyhAHHcg65REmpVDJ79mzatm1Lr169uHz5cqGiFxsby7fffkujRo0YPnw4zs7OXLt2jUOHDjFw4EBR9EREV6eIyIvIZBIkSBDMlD+1Wo1LnYZUqlQRV1dXw9K0aVPkcjnLli1j8eLFLF68GC8vL7PdbSdOnGD8+PHUrl27yInV169fx9/fn82bN9O0aVN8fHzYu3dvvsJQu3Zthg0bxty5c1m1alXulQWkLhjFC4n1QUFBTJgwgZYtW3LlypUCS5up1WoOHDjAunXrCAkJ4d133+Xnn3+mQ4cOoitT5BVEV6eIyEvEPEsjIVlp1hjlSltRqawNt2/fJiwszLCEh4cjk8mws7Pjk08+oU+fPtSrV8/khOjY2Fg+/fRTgoODWb58Of379y/wRp+amsq2bdvw9/cnJiYGT09PvLy8qFWrVpGOl5iYSL169QgNDc1VVFv37DGa66dBZ3oaCAAKK57Vbs/kyZO5du0aK1eupFevXvlufu3aNQICAti8eTP169fHy8uLDz74oMC2TCIiovCJiLyEWqMjPCoRU/8zJBKoW70sli/M771YkWTw4MHUrFmTixcvcuHCBZ49e0arVq1yWYaF1eDU6XSsWbOGuXPn4uPjw5dffplvWa6cVjn+/v7s2bMHNzc3fHx86NmzJzKZ8Xl8ixcv5vz58+zateuvY2RlkhWyE4mZpdAiU1R0HPsFkyZNYtq0aXlan0lJSWzdupWAgABiY2Px9PTE09OTOnXqmHVskf8OovCJiORBZEwy6Rlqo513EsDWxoJaVf+qsRgXF8eoUaN4/PgxgYGBNG7cONc+CQkJXLx4MZdlKJfLcwlhq1atKFMme8ywsDDGjRuHnZ0dq1evpmHDhnmeS1xcHBs2bGDdunVIpVJ8fHwYPnx4nikCxqBUKqlfvz6bN2+mbdu2HDt2DD8/Pzxb16Jrs/pITXQtZqrUfP17CONmzKZ27dq51ul0Oo4ePUpAQACHDh3Cw8MDLy8vunfvbpJ4i/y3EYVPRCQPMjIyOXv5LmXLVyxyxRStRkNGRhptm7sgl2ffjHfv3s24cePw8fFh9uzZ+fabexFBEIiKijKI4IULF7h8+TKVK1dGKpUSGxvLlClTmDFjxisWUU59SX9/f06dOsWAAQPw8fGhbdu2xTrXtWzZMr777jtcqlZkXN8u9GjZECu5zKxjKPUSSvcYnsvtGxERwfr169m4cSOVKlXCy8uLIUOGULZs2eL4GCL/UUThExF5CaVSSf/+/alazYnhvh9jb++ARSFNSyUSkEsljPcdQvPmTfnyyy+ZPHkyISEhbNy4kbaurdDFRqJPTchuQipTILGxR+5YB4lVwe1sBEFg/fr1TJs2jSZNmlC9enWuXr1KeHg4jRo1wtXVlRo1anDv3j327duHs7MzPj4+DBo0CDs7u2K7Ljn95/z9/clKeMoS3/doWKMqCqkUQ2CLRPrXBTECQSpD0agD8so1SU9PZ8eOHQQEBHDnzh2GDRuGl5cXTZo0KbbPIvLfRhQ+EZEXyBG98uXL4+XlxahRo/gj9AJKjRStVvdKfp9Ukt2RoYKDDQ721qSkJOPq6kp8fDxDhgxh6fzZWDx7gD7uYfYOLyZ4S6QgAUmZyihqNEbqUPmV87l58ybjxo0jMzOTNWvW0Lp1a8O6xMREfvzxRzZv3kx0dDRWVlbodLpcLtKizBcWxo0bNwzRn40bN2bmOC/al9HlX4/TWPGTypA5N+bc03TWrVvHnj176NixI15eXvTp06dIVrKIiDGI6QwiIv8jR/QqVKjADz/8QMuWLfnll19wrloBQRBQqrSkpKvQarMDOORyKfa2lthYyZFIJCiVSubPn09aWhoODg50alwb+Y0T6PV68gz1F/QggJAUgzo5DplzI+Q1myKRSEhPT2fevHkEBAQwd+5cxowZY5jL+vPPP/H392fr1q20bt2ab775hnfeeQcLCwsSExO5cOECYWFh+Pv7M2bMmALnC/MjLS3NEP35+PFjPD09OXv2LDXL2aG+EFRwhRZBny1+glCw+EmkCMCJB4lMHjsQhUKBl5cXixYtonLlVx8CRESKC9HiExEhu6RV//79qVixIuvXrzcEgfz4449F2v/SpUsMHz6cJk2asHr1akiKQXYvDCsLI4odS2XInBqw/3oUH3/8MZ07d2bp0qVUqlSJ5ORktmzZgp+fH0lJSXh7e+Pp6Un16tULHDJnvjBHDMPCwrh8+TJVq1bF1dWV1q1bG/ILLS0tOXPmDP7+/uzatYuuXbvi4+ODu7t7dhFqQUD1xzZQZRb9M0n+mq/TAxqdHoWFBTqdjv0Xb7Now07adumOt7c3rq6uYs6dyGtBFL4SJvG5hvhENSq1HlsbGVUqWmJrI0ah/ZN4UfQ2bNjA9u3bWbhwIZcuXSq0M4JWq2XRokWsWLGC5cuXM2TIEARlOqpze0FvfPmuLI2Waf67+XD8VDp37swff/yBn58f+/fvx93dHR8fH9zc3MxqhKrVanPlF4aGhhIeHo5cLsfKyoqePXsyfvx4OnTokOs4uoRoNFeOm1iWTIJOgNP341i3az9pcluGjxjJu+++i41NwXOcIiLFjSh8JYBOLxB2JZXt++OIeJiJQi5BQrazS6sVaN+qDO/3rohLDfEf/u8mMzOTd955h8qVK7Nhwwaio6Np3bo1hw8fpnnz5gXue/fuXYYPH06ZMmVYt26dYS5NE3EB3ePwXFVIjEFtWYqVp++wbt06bGxs8PHxYdiwYZQrV86k8fJCp9Nx5MgR/Pz8OH78OH379qVdu3aoVCqDdfhifmHr1q3pXlGCRUaSycfU6wUepmZh83bffFsNiYi8DkThK2YePFIy89t7KLP0KLPyvvFJpaCQS3CpYcO8T2pRylacav07yMzMpF+/fjg6OrJhwwYA3Nzc8PDwYPr06fnuJwgCq1evZs6cOcyZM4ePPvrI4KIT9DpUp381q4KJUqVm2Ykb9Bs0lFatWhWr+y8yMpJ169axfv16HB0d8fHxYfDgwXl2g3hxvvDan5dY59sbC3M7wEskWLqNQCITv/Mifx+i8BUjtyIymLH4Hlmqoj3pK+QSyjooWDm3HqXtxBvB6yRH9KpUqcL69euRyWQsWbKEAwcOcOLEiXyTop88eYKXlxcpKSkEBgZSt27dXOt1cZFobp81q0uBgAR51boo6r9t8hgvkpWVxZ49e/Dz8+PKlSsMHToUHx8f3nrrrSKPoVemoQ7dZXb3BaQyLDt+gMQq7yozIiKvA7E7QzHxNF7FzG+LLnoAGq1AYpKa6d9EoNGaV+pJpOjkiF7VqlUNovfnn3+ydOlSNm7cmK/obd26lRYtWtCpUydCQ0NfET0AITPNbHGQIKBPf27WGJBdx/Ljjz+mWrVq+Pv74+vrS3R0NMuXLzdK9IA8G9SahESCYGbPPhERcxHNjGJi/c6nZOXj2iwIrQ5i4tSEXEima1uxGkVJk5GRQb9+/ahWrRoBAQHIZDKUSiVDhw5l2bJlODs7v7JPYmIi48eP59q1axw8eJCWLVvmO76gURXPierUJu2WkpLCtm3b8PPzIzY2Fi8vryJ3aygIicLC5DnLXOj1SBQFFwMQESlpRIuvGEjL0BJ6Mdnk5qVZKj3b97/a40ykeMkRPScnJ4PoAUyfPp2mTZvy4YcfvrJPUFAQTZs2pUqVKly6dKlA0QOQyIsp2VpW9HEEQSA4OBhPT0+cnZ05cuQI8+bN4+HDh8ybN88s0UtJSWHnzp34jptAbIL5ViiW1lBc10hExEREi68YOHw60dgKTa/wJDaLB4+U1KpecPi8iGlkZGTQt29fnJ2d8ff3N4je4cOH2bNnD1evXs0VRJKens5nn31GUFAQgYGBdO3atUjHkdjYg0xuprtTgrRUwQnmkN2SaOPGjfj7+xuKUC9ZssSsItSCIHD9+nUOHjxIUFCQofGrh4cHlnWaQPIjk9I0AJDJkddoIubqifztiMJXDJy5lIJKbV6MkF4PV26licJXTOj0AnHJepIyBJRZWv449Qd9Bk1k9Ih3DKKXkJCAt7c3gYGBODg4GPY9e/YsI0aMoH379ly9ejXPiMf8kFaojnD7rHm9yKVSZNXq57nqxSLUJ0+eZMCAAQQEBJhVhDo1NZVjx45x8OBBDh06hKWlJb1792b69Ol06dLFkGcnaFSoTkWZ/LEQBGRVXUzfX0SkmBCFrxhIzzB/sl6jFUhNNzNiToQstUDkMx3RidnzUTo9gJTGrbsjAc5F6LG31lCzopSPxoxhyJAhdOvWDcju4j137lzWrVvH6tWreffdd407dlYWP/74I/LHN/Dp3RlLY6q2vIDEpvQrFt/9+/cNaQhOTk74+vqyceNGk4pQC4LAjRs3CAoK4uDBg1y6dIl27drh4eHBtGnTcHFxyVNEtUg5fjeGtk4O2Fga6a6UyZHVaFJ8rmARETMQha8YkBaT50YmE11A5vA8Q8+l+1p0+jwrYyKQXT4yOVPg0v0smnYazGdj3gGyCzEPHz4cJycnrly5QqVKlYp8XJVKhZ+fH7NmzSItLY1aVSox6h030z6EVIa8VlMgu3borl278Pf35/r16wwbNozDhw+/0s+vKKSmpnL8+HGCgoIICgpCoVDg4eHBZ599RpcuXfJtYptDbGwsAwcOpFSpUnSeOwmSYwuu15nrM8mRVnRGXrvgggAiIq8LUfiKAYcyCnicZdYYMqkeqWBEDUSRXKRk6rn4P9ErClKZgrc79yP8qYRjvy1l8eLFLF68GC8vryK7DNVqNevXr2f27Nmkp6ejVCr5v//7P/z8/LDRpKK5EVx0ccg+KWTV6nH9SSJ+cxezdetWWrVqxdixY+nfvz+WhbRGehFBELh586ZB6C5cuEDbtm3x8PBg6tSp1K1bt8if88yZMwwcONDQU1AikXDCbymtq5TGQqHIN9pTJwjIZHJk1Rsgr9tanNsT+ccgCl8x0LNjWW5FZORbqaUoaHU6pox3Z+n8UvTq1Qt3d3fatWsntmQpAlqdwAUjRC8HASmP4pU8eS4hLCysyNGPGo2GwMBA5s2bh1arJT4+HicnJ3bs2PFC26AyCA3bo70V+r8cuILngAWpjGvPlHz06RgSEhLw8vLi8uXLeaZX5EdaWlouq04qldK7d2+mTJlC165dKVWqVJHHgr8q1OS4f/v27Qtkz4EO++p7rl84i3XaU3RP7kLOrOb/avNptVp2n73O0OnzkNrYG3VcEZGSRqzcUgyoNXoGjr9OptJU4RNIT7qMPtGPXr16odFoOHbsGOHh4XTu3NkghLVr1y7W835TeJSgJfyJHp2J32QLOXRtpCjUItFqtWzZsoV58+ZhbW3NgwcP0Ol0fP3110yePDnPwtH69GS0D6+jf/bof2/k7senFwTuPk3ky7VbsK5cAx8fH7p3755vEv2LCILArVu3DEIXFhZGmzZt8PDwwMPDg/r165tsZWVmZjJ27FiuXLnCrl27qFOnjuH95s2b8/XXX/Pee+9ln4dOi5DyzJDDKFFYorMtS83atQkKChIbyIr84/jbhO/JUyU79z3hZngq6ZlarCxkVHW0YkCfqjRrXPpf5xb5ZesT9hx5hkZr/OW0spQy++MaPL5/khUrVnD79m1Gjx7N+++/z/Xr1zl8+DCHDx/G1tbWIIKmPMG/iQiCwOnbGpSm5XsDIJNC8xpyytvnndaq0+nYtm0bc+fOxcHBgeTkZO7fv4+HhwcbN27MFRGa73lq1Oie3kefmkBWRiqRUY85cfYCBy7eos+AgQwbNowKFSoUOk56ejonTpwwpBsA9O7dGw8PD7p161Ys34kHDx4wYMAAGjVqxNq1a3PN/02ZMoW4uDi2bNlS6DhffvklqampLF++3OxzEhEpTl678P15PZlfNkVy5146er2A9gWhkEiyRcDeTsGw953o714FaXFFjpQwGUodH826Q1yC2qjqTpYWEtq3KsP0sc4Gsb958yYrV65k27ZteHh4MHHiRN5+++1cIhgWFkarVq0MQti0adN/3cNCcZCcoTfJzfky5ewktK6dOwpTr9ezY8cO5syZg4ODA46Ojvz+++9UrlyZX3/9lXbt2hV5fK1Wy8GDB/Hz8yM4OJj33nsPX19f3n777QL/boIgcOfOHYPQnT9/HldXVzw8POjduzcNGjQo1r97UFAQnp6efPHFF0ycODHX2KdPn2bIkCFcu3atSJ0iIiMjad26taE7vIjIP4XXKny/7X/C6oAHqNSF36WsLKW0bu7A3GkNsVD8OwrMJCSpmTzvLkkp2lyCnh+WFhKaNrBjzuRayOWv3rySk5NZv349K1eupEyZMkyYMIHBgwdjZWVFeno6p06d4vDhwxw6dIi0tDR69uyJu7s7PXr0KJL18CbwJEnHzcda9IJ5N38rBXRplD2fqtfr2b17N3PmzMHW1pa+ffuybNky0tPTmT17NjNmzChyP7yIiAjWrVvHhg0bqFGjBr6+voboyPzIyMjIZdXp9XqD0HXr1s2kFIbC0Ov1LFy4kJ9++olt27bRsWPHXOvT09Np2rQpy5Yt45133inyuD169MDb25shQ4YU9ymLiJjMaxO+fUee8sPae6iMKOJsaSHFtbkDC2c2+tdYfmkZWr79OYpLN9JAIE/Xp5WlFEEQeLdXBTzfL9yq1ev1HDp0iBUrVnD58mV8fHwYN24cTk5Ohm0ePHhgsAZPnjyJi4sL7u7u9OrVizZt2qBQmJZT9k/nbnQG4TF6FBbm1X9UyKBbYwV79+5l9uzZyOVypkyZwpo1azh79izdu3dny5YtRbJ0MjMz+e233/D39+fWrVsMHz4cHx8fGjZsmOf2giAQHh5uyKs7d+4crVu3Nohdw4YNS9SaT05OZsSIESQmJrJjxw6qVKnyyjYTJkwgLS3N0L6pqGzfvp21a9dy/Pjx4jpdERGzeS3C9zgmE8+Jl4pk6b2MlaWU8V61eLdP1RI4s5IjIUnNvuMJHDiRQFqGLrukmQCOFS0Z2LciXdo4YG1lfCf2u3fvsnr1akMZrQkTJtC5c+dcN0a1Ws3Zs2cN1uCDBw/o2rWrQQjflCagaWlpTJv9Pb0HT0FhYZ4rTdAqmTWmGzqdjjlz5nDx4kUWL15M+fLl2bZtG507dy50jMuXL+Pn58f27dtxdXXF19eXfv365RmZm5GRwcmTJw1ip9VqDUEpbm5u2Nu/nkjI69evM2DAANzd3fnuu+/yPNfjx4/j6enJ9evXKVOm8FJqL6JSqahWrRrnzp0Tg7NE/jG8FuH7bk0E+w7HoDWxwEmlCpbs9C94LuSfjF4voNEKWCgkxfYZ0tLSCAwMZOXKlcjlciZMmMDQoUPzTESOi4vj6NGjHDp0iCNHjuDg4GAQwc6dOxeavPxPJC0tDQ8PDzp260O396eaPcd37cIpboVuoX379nz55ZckJSXx+eefM3v27ALdms+fP2fz5s34+/vz/PlzvL298fT0pHr16rm2EwSBu3fvGiIwz5w5Q6tWrQxi17hx49f+/d66dSuTJk1i2bJlDBs2LM9tUlNTeeutt/jpp59wd3c36ThTpkzBxsaGhQsXmnO6IiLFRokLX1aWjr7DzhjVp+5lrK1kLPmqMc2bGPe0+V9AEAROnDjBihUrCAkJYeTIkYwfP55atWrlub1er+fKlSsGa/Dy5cu0adOGXr160atXr7/lBmwsaWlpuLu706RJE1atWsWJ61noMN2Vq9dpSHpwmhlTRvHkyRMUCgW9e/emd+/euLm5UatWrVzXRK/X88cff+Dn58eBAwdwd3fHx8cHNze3XCKZmZlpsOqCgoLIysoyRGB27979tVl1L6PRaJg2bRp79+5l165dNG3aNN9tR48ejSAI/PLLLyYf7+bNm/To0YNHjx4hN7eDu4hIMVDiwnf0j3i+XXWXTKXp9SwlEujctjwLPm9UjGdFvONkAAAgAElEQVT25vHw4UNWr15NQEAAbdq0YeLEiXTv3r1AiyU1NZWTJ09y6NAhDh8+jEqlMohg9+7dizSn9TpJTU3Fw8ODJk2a4O3tzeLFi7F0qM3QsV8hM7EOpEaVwQedHbGzs2Pr1q3UrVuX48ePGxZLS0vc3Nxo3rw5MTExbN++HRsbG3x9fRk2bFiuaxQREWEISgkNDaVFixaGubomTf7+zgSxsbEMGjQIW1tbNm3aRNmy+feAPHz4MGPGjOHatWtmi3S7du2YMWOGUYExIiIlRYkLX+COR/htijTbFeVSy5aA5a2K56TecDIzM9m6dSsrVqwgKyuL8ePHM3LkyEJvXoIgcO/ePYM1ePr0aRo2bGgQQldX17/1iT01NZVevXpRoUIFlEold+7cYerUqbRp256n2lpY2xof7ajKymTj6jnUcbRk0aJFrzwkqNVqfv75Z37++WfCw8ORSqU4OTnRp08funfvjqurK5cvXzaIXWZmpkHounfvblRnh5Lm5dJjBT0QJScn06RJEwICAujevbvZx163bh179uxh7969Zo8lImIuJS58v2yKZMP2R2aPY2OZQZ+OEZQrV46yZctStmxZw+syZcoUqdLFfw1BEAgJCWHFihUcO3aMoUOHMmHCBOrVq1ek/VUqFaGhoQZr8PHjx7i5uRmE8MWo0pImOTmZNm3a8Pz5c8qUKcP06dMZOnQov/zyC3PnzmX5mvWUd+lhVDPgLGUmD26H8WHvplSunLsodXh4uCENoU6dOvj6+vLBBx9gaWnJ77//zvr16zlz5gxJSUnY2dnRsmVLhg4dytChQ7G2/me1lsqv9FhBeHl5YW1tzerVq4vlHNLT03FycuLGjRtUrfrvClQTefMoceHbuvsxP2+IRGtqPan/Uco6mbqVj5OUlERiYiJJSUmG16mpqdjb278iiHn9/uLr/5JgPnnyhJ9++olffvmFt956i4kTJ9K7d2+jPn9MTAxHjhzh8OHDHD16lEqVKhlEsFOnTiVyw9doNAQEBDB58mRsbW3ZuGE9rVq2JEup5OrVK8TFxdO5a1dq13HheYZA8I1UpDI5CkXBbs8sZQYW+hTc2zkj/Z/7MSMjg507d+Ln58fdu3cZOXIk3t7eODs788cffxgiMNPT0w1BKR06dODWrVsGt+itW7do06YNbm5uuLm50aJFi7/1O5Zf6bGC2L9/Px9//DFXr14t1upAo0ePpkaNGsycObPYxhQRMYUSF74LV54zc+ENswo4I2h5Fn0QW+lJOnbsaFhyWsfodDpSUlJyCWJeAvny6xcFMz9xfPG1fWkHImNsOX4ui/gkDRqNgKWFhNrVrXm3Z3ka17X52+dwCkOlUvHrr7+yYsUKEhISGD9+PN7e3kUqu/UiOp2Oy5cvG6zBq1ev0r59e4MQmltRRKlUEhAQwOLFi0lPT2f6Z58yZPAg9Doder0+19gSSXa0bHTMU0Z4j2OQzzRcO7+DQqFAKvsr6EWn1aDVashKT6Jji+o4OmQL0sWLF/H39+fXX3+lbdu2+Pr60qBBA0Nz1uDgYJo1a2YQu6ZNm+brJkxOTuaPP/4wCOHTp0/p0qWLQQjr1av32r4jBZUey4+kpCSaNGnCli1bipTCYQxhYWEMGTKEiIiIIhcAEBEpCUpc+PR6gXc9z5H43PRiihYWUn75rgmxT24SHBxMSEgIoaGhVKhQIZcQvhx9Vxg6nY7k5ORChTIpKRmlvD1W5dwQBJArct9ABEGPBC1yqQqnMreoVz0zXwvzn/QPHxYWxooVK9i/fz8ffPABEydONLmgcHJyMsePHzck0QuCkCtIpqj5XykpKaxZs4bly5fTrFkzkpKS+OG7b6ni6EhhX9WsrCySk5O5GX6XwUOG8VypICFVx8XLV3kY+QBBm4nXYHfq1HAkKSmJTZs24e/vT1paGiNGjKBOnTpcvHiRgwcPGoJoPDw86NGjh9EPBjk8ffqUEydOcPz4cY4dO4ZOpzOIoJubG9WqVTNp3MLIq/SYIAg8fQ4xSZClzq5RamMJdRzB1ir7/2bo0KFUqFCBH374odjPSRAEmjVrxvfff4+bm4n9CkVEioHXkse3Zddj/Dc/NCmBHaBRfXt+/jZ3E0u9Xs+NGzcIDg7m9OnTBAcHI5FI6NChg0EImzRpYrbQKLN0zF4exb2HSlSawi+VVKLFTnoTIe0Az18S0bS0NEqXLl2gVZnXutKlS5eoYMbFxbF27Vp++uknXFxcmDhxIv379zc5kCWnvmSOCIaEhPDWW28ZhLBVq1avuP/i4+P54YcfWLt2Le7u7nz00Ud8/vkMvlu8mPLljYsslUqlVKnuTGDgJiZMmIBcLsff358BAwZw4sQJ/P39CQoKolOnTtSoUYP79+8THBxMkyZNDIEpzZo1K/ZrnhM8lGMNnjx5knLlyhlEsGvXrgVGWRaFvEqPabQCd57AxQjIUGV3ScqZC5VLsxsmVa8AGU9OM2fGKK5cuYKNjY35HzgPVqxYwZkzZ9i6dWuJjC8iUhRei/ClpmsYNCqMtHSt0ftaWkpZ8mVjWjYt+IlbEAQePHhASEgIwcHBBAcHEx8fT7t27QxC2KpVK6Oaeep0AjO/iyT8gdKorguWFhIG9CrPsP65AyZ0Oh3Pnz83yh37omAWxR374mtjBVOj0bB7925WrFjBw4cPGTduHKNGjTK77qdSqSQ4ONgghLGxsXTv3p1evXrRsGFDAgMD2bJlC4MHD+bTTz+lXLly9OrVi9mzvqBBg/rZbdONQACioqJw65mdXzdz5kwCAwPx9/dHJpNRvXp1oqOjSU1Nxd3dnd69e9OjRw+zRcdY9Ho9V69eNQhhaGgoLi4udO/eHTc3Nzp06GCUAOVVeixNKbAjFDJVFFJAQkCtUlLNPpUhPSuXmDs2KSmJmjVr8uDBg39cqozIf4fXVqvz7v00xs+4YtRcn5WllDEjavLBO6a5g+Li4nIJYXh4OC1btjQIYbt27Qos+Lv7aAKBu+NQqY2/RJYWEhZPq4VLDfMDPrRarcElWxShzPk9PT2dMmXKGCWW5cqVw97enqtXr7Jq1Sp+++03+vfvz8SJE2nZsqVJ56/W6olL1vAsWYNWL6DT6cnMSCf4xEEC1ixBmZHC+++/z3vvvUeTJk3o168fXbp0ZtwoX5OvmVKp5Mr1m/y8di0XLlygQoUKPHv2jLfeesuQnN68efN/lOtZrVZz/vx5gxD++eeftGrVymARtm7dOt+aq3mVHkvPEth8CrI0RX92kMugTmXo1YISE7+hQ4fi6urKxx9/XCLji4gUxmvtzhB+L43JX15DrdEXWKxaJgO5TMqkUbXp7/5qwVxTSU1N5ezZswYhvHTpEvXq1cs1T1ixYkUge25y5GfhJKUYb6UCSCXQoZU908dUL3zjEiJHMIsili++zhHMHBFMT0/n8ePH2NnZ0b59e8N1elk47e3tcwmJSqMnMjaL5xnZpsbL3zS9XodMKkXQKjl3chfbNgVw6dIlnJyc+ObrhTR7q4nJ7Wx0Oh0nT/3BJ59No2/fvvTr14+ePXv+q6yM9PR0Tp8+bRDCyMhIOnbsaBDCxo0bI5VK8yw9JggCgSchOQOjUjwgW/za1YcWtUtG+E6ePMmkSZO4du3aPz4YTOTN5LX340tN07D/aCzb90STqdSh1ujR6QSk0uxuDIIA7t0qMfCdalSvVjLzDDmoVCouXrxoEMLQ0FAqVapEx44dcWncm/N366Iyo8GphULCxm/rYVfq31WmSavVGlyyOYKYkJBAcHAwJ06cID4+nlq1alG2bFkyMjIM22VkZODg4EDZsmVp2KQF42d8h5W1DVJp4eH8EgTW/vAlcn0mSqWSKRPHmy1SgiDgVKMW8jekM8WzZ884efKkQQhTU1NxcHAgKSmJ9evX06dPH8O2D+MFDlwAjYkFkywVMLoXyEqgK4per6du3bps3ryZt99+u9jHFxEpjL+tA7teL3Dp6nPuPcwgPV2LlZWMShUs6dimvEldC4oDnU5nCJg5cqEiWnl9JBLTXWGWFhJGD3bEvdPrnTsqaW7dumVolNurVy8mTpxI27ZtDRZmfEIyKfryCBKZUU/0WVlKvvpkBOE3LnE+NNhsN6REIsWxmhMWRszr/luIjY2lf//+ZGZmUr9+fYKDg7G2tsbNzY3u3bsjVH6XuFTTSrgBKOTQqxnUqVIyFtk333zDvXv38PPzK5HxRUQK4m8Tvn86kxfcJ+Kh0sxRBFq4JNHcJRG9Xl/govtfflpRF2O2L6ltVSoVcXFxxMTEIJPJqFixIg4ODkyZvZIatRogMyEqNC01maF9WnDm9Mk8W+QYQ0ZGBkuXLSfq0SMsLS1fWSwsLIx6v6jr5HJ5ibrw8io9JggCt27d4tixY4ScvYLr+6vNbtVUuQwM7lQyn+Pp06c0bNiQR48elUhjXRGRgvh3+eBeIxqNmcVFAZCwb/8h1t5dh0KhMCwWFhaGnzk3yxdvqFZWVobXMpkMqVSa5yKTyZDL5fmuf3nbomxnyraQnRO4fft2klIyqFa9jkmiByCVyej9f4OLpSaoIAjEx8cjkUgMc5Y5+ZQ2NjZotVpUKpVhSUlJMbxWq9W51hX2/ovr9Hq92UKa1/sWFhaEhoby+++/M378eFq3bm0oop2zvkePHrh2+YBLjxVozfwKJ6Wb/SfIF0dHRzp37sz27dvx9TU9iElExBREiy8fpi1+wM2ITLPGkEoEOrfIonHNRNLS0gxLampqrt9fXnLWZ2ZmYm1tjb29PXZ2dvkuRV1vTCqHMSQnJ7Nq1Sp+/PFHPp+/kpbtuiOTmS5ckRG3qFtBa3YaBUBMfAL379/nwYMHuZbExESqV69OrVq1DEvNmjUNr80pLq3T6YwWy8Lez8jI4NixYyQkJNC+fXssLCzy3c+pflfcBn+DpbV5lpRUApP6lZzlun//fhYsWMC5c+dK7BgiInkhCl8+bP49jp2HElAXIWk9P6wspcyeWJ236ptW71Cv15ORkZGvMBYmnC8vgiCYJJx5bVOqVCni4+NZtmwZfn5+9O3blzFjxkCZhiAxb45Wo1Hz9OZRmr/VyCyxtrEtRUXHvKOClUolUVFRrwhizmJpaZmvKDo5OeWbVlASGFt6LDJOIOgSqE0LSDagkMH4PiUnfFqtFmdnZw4dOmRyxSAREVMQhS8fkpI1eM+4a1Ti+svYWmnYuvytf0whbLVabZZwpqWlkZKSQnJyMllZWQDIZDJkMhk6nQ6ZXM7xS3FmB6VkpKfx24ZvmTZpjMljZWZmcvTESTy9vI223gRB4NmzZ0RGRuYpirGxsVStWjVPUcyJdi2uOb5Dhw4xcuTIXKXHCiMxVWBrcGEJ64VTxhY83Uo23WDWrFmkp6eXSIk0EZH8EIWvAOb8+JCL19Ix5QLJZXqeP9pK0uN9zJo1iw8++OAfI4CFkZSUxL1794iIiCAiIsLw+s6dOyiVSvR6PS4uLnTr1o26detSqVIlypQpQ2pqOlUa9TA/KVzQkRx9lai71+ju1s0060oiYe6Crzl48CAzZ85k7NixxebqVavVPHr0KF9rURCEfEXR2dm5SOeRV+kxY9hwQuC5GXN0Chm0bwDNapWs8EVGRtK6dWuio6NNztkUETEWUfgK4P4jJZ9988Doyi0SCZSxk/PzgjoEnz7G/PnzSUxM5IsvvmDIkCF/azPXHJ4/f/6KsOW81mq1uLi4UKdOHVxcXJBIJBw7doy7d+/Sv39/mjVrxrNnz4iKiuLRo0dERUXx5MkTHBwc2Hn8TpHy9gpCrVIy+5PhLJw7i5rO1dGoVUXeVxAEZHI5VZyckcvlXL9+nRkzZnD79m0WLlzIoEGDSrxay/Pnz/MVxejoaCpVqpSnKNaqVYuKFSuSkpLySukxY7n5SODUddPz+GTS7Dw+S0XJJ5j36NEDb29vhgwZAmT/DcXEdpGS5D8lfM9TNJz7M5XkVA06PdjZynirfilqOuVfVuzM5VSW+j0usvhJJGBtJeWHL2pTtXL2k70gCJw8eZJ58+YRHR3N559/zvDhw80O1y+MHHHLEbYXBU6j0eDi4oKLiwu1a9ematWq2Nhkt1VKSUkhKiqKsLAwrl69SkZGBhKJhGrVqlGzZk2cnZ1xdnamevXqhtdOTk5YWVlx5UEGmQVU5SkKGo2K5jUssbe3Q6/XEffkCampKYVaSjqdjmfPnlG3YeNX6m6eOnWKadOmodPpWLx4cbF0FTcFrVZLdHT0K4KY41ZNT09Hr9dTpUoV+vbti4uLi0EUa9SoUeTanVqdwC9HQKUx/hxlUqhfDXo0ez3is237Dg78cY/u788gOR20+uxzsLWC5rWgcXWwshCFUKT4+E8I38276ew8GE/Y1VRkMglqjR5BAIVcgkQCVStbMahvRTq0LoNC/qo1cPF6Got+eoReAHUBAmhtKcXaWsriz2pSpVLeN+ng4GDmz5/P3bt3mTFjBl5eXma54JKTk/O13NRqtUHYHB0dsbOzQy6Xo9PpSEhIMFhrjx49QhAEg5jpdDpu3ryJRCLB29sbLy8vnJyciuSqjXuuIuJJRq4+eMYgCHocy1pSq/Jfbq8dv/5KSEgwn34yJf9+fFIppcs4MGfefKKjo/n1119fsRoEQWDHjh3MnDmT2rVrs3jxYpo1a2bSeZYEW7duZcKECXzyySc0bNjwFVF8+PAhDg4Or1iJOYujo2MuazYmSWDXWePm+qQScCgFgztm/3+UJIIgcPYOXLwnkJ6RgaXVq0Fgcll2qbv61cDtrZI/J5H/Bm+08On0Aqs2RHM0JBG1RiiwUK+VpRTHihYsnlGHMvav3rRT07UcCX7O7qMJqNQCgiCg12eXdNILAo4VLHjfowIdWtqjUBTuSjt37hzz58/n2rVrfPbZZ4waNSrfDuY54pbXvJtKpaJOnTo4OjpSpkwZrKysEASBzMxM4uLiePTokcEN+aKF9rLFZmNjw+bNm1m8eDEODg7MnDmTvn37FtktKAgCu3fvZu7ceSwLOISVdeFNT/NCIoFmtWyxtsg+bmJiIo0bN2bXrl20bdsWVVYWhw8dpFSpUjRu1BiZXI6NjS1W/7NWs7KyaNu2LaNHj2bcuHF5HkOtVrN27VoWLFhAjx49WLBgAc7Oziadb3Gg0WiYNm0ae/fuZdeuXTRt2jTP7fR6PTExMXlaig8ePCA5ORlnZ+fcYljLlQRZG3SCFChYNOTSbNF7r13JW1g6vcDeMHj0rGjCLJOCgy0M7AjWovUnYiZvrPAJgsCi1Q85ezmlyG5KuQzKllGwekF97POpr6nXC9yMyCQ+UU2WSo+tjQznKlbUdDJtYv7SpUvMnz+f8+fPM2jQIJo2bUp0dHQugcvKyqJatWqUK1cOW1tbJBIJarWa5ORknjx5QnJyMlWrVs1X2JycnPIV1YyMDH755Re+++47GjRowOeff06XLl2KPMciCAJHjhxh1qxZaLVaFixYQNkqdVEK9lhZG1drVZWl5FnMAwb0amWYB/X09KR06dIsX77csN3w4cNxc3PD09Mzz3Hu3r1L+/btOXr0aIEWXWpqKkuXLmXVqlV4enoyc+bM117EOjY2lkGDBmFra8umTZvMao2UkZHBw4cPXxHFxFQ99dp60qBlHyQSAbki93dBLtUjl0loXltCy9ogl5W8pXfwEtx7arw1Wt4ehnQq+XMUebN5Y4Vv275YtvweR5aR801yOdRxtmH57LrFPsGekpKSp+UWHh5OZmYmUqkUtVptKP2VmZlJfHw8ADVq1HjFSsv53dHR0eiI0aSkJFauXMnKlSvp1KkTM2bMoFWrVkaNERISwhdffEFcXBzz5s2jSZMmTJ8+nf3797Nk5SbadekDRax1KpWAhUzPF5OGoFar2LZtG5cvX2bMmDHcuHGDUqX+coN16tSJuXPn0rVr13zH27JlC3PnzuXixYuFlsSKjY1l7ty57Ny5k08//ZRJkybl+6CQHxqdQHIGqDV/zU/ZWRf8/cmr9FhJIQgCj6LjuRCeSWyqNSoNqLIySU58wvmj6zh/ahvVXkjReDkq1dQO9HnxMC7b2jMl8EYuhbb1wbWuKHwipvNGCp9ao2fg+OtkKk0LsrCylPLN9Do0dDHeXZeSkpIrmOTOnTvcunWLyMhIlEolDg4OWFpaIggCSqWS58+fU7p0aWrWrEmNGjWwtbXlxo0bRERE8OGHHzJt2jRq1KhRbCIcExPD999/z7p16/i///s/pk2bRv369Y0a4/Lly8yaNYtbt27x1VdfUbFiRVatWkVoaCh6vZ6NGzfy7rvv8uiZmqdJ6kLb4kglUNpWRr2q1giCnlmzZrF582Z0Oh3r1q2jV69eubZ3dnbm5MmT1KpVq8BxfX19ycrKIjAwsEjXLzw8nJkzZxIWFsa8efMYMWJEoQ8Uz9MFLt+Hm4+zP0cOOj1UsIdWLlC7cu4uB4IgsHr1aubOncu6devo27dvoedW0mRlZRkS+vPKX5TJZHnOK9asWZPq1asbFaj1a4jA4wTTz9XGEsa6l1y/QJE3nzdS+E6eTeKHdY+Nanr7IhIJtG9Zmq8+zvvGmpqaahC269evc/XqVe7du0d0dDQqlQobGxtkMhkqlYqsrCwqVKhAjRo1cHFxyWWtFeSGvHv3LosWLWLfvn2MHTuWKVOmmOyGe/RUzbVbj/lt1z5CTh+jZ7dmTJ86murVjesVmCN0Z86cYerUqcjlctasWYOVlRUODg7ExcVx4MABatasadhHqdbzNElNbJIKpTITmUyOpaUlGo0aiURGBQcrqpazoJSVNNeNrG/fvhw7dow1a9bg5eVleF+r1WJjY0N6enqhN9vMzExcXV355JNP8Pb2LvLnPHv2LNOmTeP58+d888039OnT55WbrEaXXR3lYVx2v7v8xF0hz7YA/+9tqFJWQmZmJmPHjuXKlSvs2rWLOnXqFPm8/i4EQSAxMTFfUYyJicHR0THfSjfly5c3XL+UDIGA49kPBqaikEE/V6hZSRQ+EdN4I4Vv3Bd3uP/IvM4KCrmEad5abt24wJ9//kl4eDhRUVHEx8ejVqtRKBRotVokEgnly5enevXq1K1blwYNGuQSNlPckC/y4MEDvvnmG3777Td8fX2ZOnWqoVluQag1es78mcH2oHgSk3VotCosLCyxsrRAq5NQp7oF/buWpll9a6SF9FyLjIxkzpw5BAUF4eXlRWZmJlu2bKFr1654enqydOlS7Ozs2Lx5M/b29rn21Wg0fPPNN/y89heWr/KjY6cuCEiIuHubWTM+4dSJY68c79y5c7z77rvs2rULLy8vunbtyvLly7GwsCAqKor27dsTHR1dpOt369YtOnfuzKlTp2jUqFGR9oHsm/2+ffuYMWMGFSpUYMmSJYbecRqtwPYQSEqjyIWg5TJwdYpl7EiPIpce+7eg0Wh49OhRvpVuNBqNQQSbdPSkdI3eIDUvl7VuFejnKgqfiGm8kcLX1/uKWTU2ATTqNK6c+hhlym0cHByoUqUKderUoXHjxjRu3Ngw5+bg4PBaXC6PHj1i8eLFbN26FU9PTz777DMcHR3z3DYiSsW8NU/IylIjkeUfdGNlKaGMnYyvxlamvMOrN6KYmBgWLFjAtm3b6NOnD4mJiVy4cAFvb2/Gjx9PRkYG/fr1Y8CAASxatOgVgb958yYjR46kfPny+Pn5Ua1aNcO6rKwsypUrR1xcXK75O7VaTYsWLZg1axaDBw8mNTWVESNGEBcXx86dO7l//z6ff/45oaGhRb52AQEBLF26lLCwMKPFRqvVsn79eubMmUPbtm1ZuPBrrifUITrReKtFrcrAOvF3Jo398D/lpktOTjaIYmSqExKH1maPWaUsDCmhlkkibz5vnPAJgkCvEVfMHsfKEj4bXY2OruZ3CChOYmJi+Pbbb9mwYQMffvgh06dPx8nJCcj+7AFbTnPwQmWksqLlBkqlYGslZdEURyqWzU7jSEhIYPHixfj5+dG6dWseP36MTCZj0qRJDBs2DBsbGw4dOsSIESNYsmTJK9GVOp2O77//niVLlvD111/j6+ub542+Q4cOzJkzJ1cyeU5Ayt69ew376PV6vvnmG1atWoWXlxcPHjxgy5YtRb5mgiAwcuRIFAoF/v7+Rd7vRTIzM/nhhx/YeeAcH36yHanclCheAafyEj5o/9+9YZ+4JvDnA/PHqVwGhnb5715HEfMo2dpNfwMSiQRZMYQ6y2RS7O3+ebUDq1SpwrJly7h9+zY2NjY0a9aMUaNGsWLFCt5u35eDYRWLLHoAej2kK/XMXhVL3LNkZs+eTZ06dTh27BhSqRQrKytWrlzJ9evXGT16NNbW1ixfvhwvLy927979iuhFRETQqVMnDh48yIULFxg1alS+1k3Hjh0JCQkx/H7z5k1WrlzJmjVrcu0jlUqZOXMm/v7+/PDDDzx79gxjntckEgmrV68mJCSETZs2FXm/F7GxsWHmzJlMX7QDiczUijsSYpIgNfONetY0Cpti6oxlVbJFj0TecN444YPsOpnmotUKVCj7z/3vqlSpEvPnz2fWrFn89ttvfPLJJzjWH4FMYbxYCwIkJavo/s40NmzYgEQioUuXLoSFhbF3717c3NwMuYOjR4/G39+fs2fP0r59e8MYer2elStX0q5dOwYNGsTx48epUaNGgcft0KGDQfh0Oh2+vr7Mnz8/l0v0Rdzd3enTpw+3b99mxIgRZGYWvV9iqVKl+PXXX5kyZQrh4eFF3u9F0pUCsSkWSIqYopEfV4rB4vm3Uq1cdnCKOShkUKtS8ZyPyH+TN1L4+rqVx8LM4rpVK1vlW3bs7yY9PZ3vv/+e2rVrc+TIEfbs2cODh7FYObREEEz73AJyajX1ZurUT3n06BHLli2jdu3ahvUJCQn07NmT+Ph4QkNDc4laVFQU3bt3Z/PmzYSGhjJp0qQi5aS1a9eO8+fPo9FoWKKPYV4AABhxSURBVLlyJRYWFowePbrAfZ4/f87KlSvR6/W0b9+eyMjIIn/Gpk2bMn/+fAYOHIhSaXzwU3Ri7pQFU9Dp4X6seWP8m6laDqzNfJ4UBGhoXECyiEgu/v42ASVA767l2PK76XcXayspg/oWHjn5uklMTGTFihWsXr2arl27sm/fPpo3bw7AvlMpWFgojO4k8SL2Do649fbF7iUX782bN3nnnXcYOHAgCxcuNIiaIAj4+/vz+eef89lnnzF16lSjIlgdHByoWbMmBw8eZP78+Zw5c6ZQwYyKiqJevXps2rSJFStW0KZNGzZu3PhKrl8OgiCg0+nQaDSo1Wree+89Dh48yOjRo5k9ezZqtdqw7sWfeb2XIauNptTbIDWvCa3KzAax/2YkEgmtXQT+uGlav0AJUK/a6+kaIfLm8kYKn0NpBW2a23Puz1STGsnKZRI6tC5TAmdmGk+ePOG7775j/fr1DBgwgJCQEOrWrZtrm6vhSrNED0CtEbgTmUXD2n8J34EDB/D09OTbb79l0KBBpKWlGcLXp06dSnx8PH5+fjg7O3P58uU8BaMgMbGyssLHx4fGjRuzdu3aAvdXq9Xcu3cPX19fg5jZ2trSp08f7O3tsbW1zfNYUqkUhUKBhYUFCoUChUJBQkICR48epWzZsrnW5fdToVBQsY6cig1cMbfAyn8ooDNPGlWHi/cgVUmB9XPzQiGHtvVK5rxE/ju8cVGdOWRk6hg36w7PEtVGhZ1bWkj4dqYL9Wsbn2Ol1wtkKvVotAI21lIsLcy7Q969e5clS5awa9cuPD09+eSTT/Kd/5qxLIYH0WqzjgcQc3c7EWHfZ1s4GRmo1dljSqVSgwjkFMG2s7OjfPnyeYpEYUKS8/PYsWPcunWLL774Amtr6wK3TU9PZ9y4cezbty/XuqSkJCZPnkylSpVYsWIF5cqVy7VfXlbkxYsX6d27N2fPns3l0i2Iq/cyOXFDjiAxz+IrZwcju/231S81U2DTqey2SYVV9slBIYP322cXAhARMYc3VvgAEp9r+PTrCOIT1IVafhIJWFpImTulFs0bFVzb8WXuP1Ky+0giIZfSQMhOEdBqBcqXVfBer3J0bVsaG6uiuwD//PNPFi1axMmTJxk/fjwTJ04stGrLrB+fcjeq6A1b86NbK/BoJ2HmzJlcu3aNXbt2Ubt2baRSKfHx8YwdO5a7d++yceNGWrRoYdax4uPjadSoEVqtlqSkpEJz28LCwvjoo4+4ePHiK+tUKhWTJ0/m5MmT7N69mwYNGhR6/OXLlxMYGEhoaGieraH0ej1Xrlzh8OHDHDp0iJu3I5i+5gEyuelzv3IZtKsPreqIN+/0LIGdoZCaWXDdToUs+7q93w4qlhGvm4j5vJHBLTmUc1Cwal49/q9nBWyspFhbvfpxLRQSFAoJ7VqUZuW8ekaJXky8molz7zNt8UNOX0hFqxXQ6gTUGgG9APGJGgJ+i2PYJ3cJ3BOPvoBHW0EQOH36NO7u7vTt25c2bdoYKqYUJHqJiYns2bOHxw+vF/m880OhgLJlLBg2bBhKpZKzZ8/i4uKCVCrlt99+o2nTptSrV49Lly6ZLXoAkyZNwsvLC3t7eyIiIgrdPioqKt/2QZaWlqxZs4Zp06bRqVMndu/eXaTjV6tWjRkzZhjee/bsGZs3b2bEiBE4OjoyZMgQYmNjmT59OlGRETSpaWmWq1IQshurikApKwkju8H/tYEaFbNLu1nKwUKe/VMuhUplwL0FjHEXRU+k+Hgj5/hexMZaxqghVRn5viMhF5I59Eciz1O0aHUCdrYy3m5Wmt5dy+FQ2jj31b0oJTOXRqFU6Qucp8hSZa/cczSR6Kcqpo2p9krB4gMHDrBo0SLi4+OZNm0av//+e77NaWNiYggODub06dOcPn2aqKgo2rVrR7M2g/j/9u48Pur6zuP46zd3LpJAyEEIlwG5G2NQoEkAZcmgoKQkgLCUFlbDbmmpQBdTtBZQV8BjcRcWkIaHwkMsqBS0FKwSBC2ICBVBIUQhHDkh5CDMZDIzv/0jEgm55khgNJ/n48HjETKZ3+87IeQ93/Nz3hJLjd3z9zJOp8qT8x5i0kQzS5YsQaPRUFpayq9//WsOHz7Mtm3bGDp0qMfXv9GOHTs4fPgwWVlZda/p5nnLm509e7bFunkzZ85k0KBBpKWl8dlnn7F06dImF9woisK6desYPHgwFy9e5MyZM+Tk5DBq1CjMZjOLFy+ud+4owN2xKjn5Hi7MUCA2SqqJ30hRFLp1hm6docqqUnq1tsKFXgcd/CEkQL5XovX9qIc620rRJRu/WfotVdfcO7PKaFAYPTyEf58Whd1uZ8uWLTz//PNoNBoyMzNJS0ur90taVVXOnj1bF3L79u2jtLSUpKQkkpOTSU5OJi4uDp1Oh9OpkrH4POVXPT39V+XyxX8w6yGFqVOnAtStfkxLS+O5557D39+9+npNKS8vZ8CAAWzcuJFRo0axZs0aPv30UzZs2NDs8+bMmUPv3r2ZO3dui/coLi5mypQp6HQ6Nm/eXK/XfO7cubrhyz179hAeHs6FCxfIysoiNTW1xcOv936pcizP/fDzM8D0UbU9HSHE7SPB54Gl/3uOz45ddXlS/kYGvcLQ2MOsXfVHoqOjyczMxGw2oygKqqpy8uTJekFnt9tJTk5mxIgRJCcn079//yaX/O/ILmfL7jKPzil11FiY8i8W0sfHU1FRweOPP052djZZWVmMHDnS/RfajNmzZ+NwOHj11VcBOH78OBMmTCA3N7fZ540fP55Zs2YxYcIEl+5jt9vJzMxky5YtLFy4kNzcXHbt2kVJSQljxowhJSWFMWPGEBkZyYoVK9i2bRsfffQRen3zvX9VVdl1BE67WEhVUcCoh8mJ0ClIQk+I202Cz01XKuzMXHjao20SAE6nHY31KJn/EcvQoUM5duxYXcjt37+fgICAut5ccnIysbGxLh9obLer/GFVAWcv2tzqjTgdVn76ExO//UV39uzZw6xZszCbzaxYsaLFIq5NUVUVVaVB5YePPvqIadOmcfz4cUJCareMOJ1OwsLCOHHiRJMHbwMMHjyY1157rW7vYnP3PnXqVF2vbu/evdjtdh5++GEWLlxIfHx8g+FPp9PJuHHjGDx4MM8//7xLr+/QaTiUU/v3xhZnaJTa0IsMgQcSWi5MK4S4NST43LT53RK2/u2SV9UfNIoDR/7TfPLxHqKioupCLikpye0aeTersjhY8n9FXCyyYXNho7TqrGboTzrw2MQgMjOfYPv27axfv77JDeHNyS+uYef+Cj45WoXFWjv3adAr9O1l5KGRwdzRVSUuLo7ly5c36LWNHz+eGTNmkJaW1uT1g4ODOXPmDB07dmzwWEVFBR9++GFd2DkcDsxmM2azmfvvv58LFy6QmprK2LFjefHFFxvt1ZWUlBAfH8+6desYO3asS6+5xqFy+iIcyq0tU6RRapfn63XQPwbie0FooASeEL5Egs9NGU/mcrHIu/1yCjZG3VXMv6bFuVRbz122Gicb3y0l+1AVikKjG9vtNVUY9DoeeTCCToYT/PKXv2D48OGsXLmyrifmqvySGla9UcLZ/BqcTrXRfZMmg0KNrRJ7yVtsff2PDR5ftmwZ+fn5rFy5stF7lJWVERMTQ0VFBYqi1G012LVrF7t37+bIkSMMHz6clJQUzGYz/fr1a9BTLisrY/r06ZSVlbF161YiIyMb3Gffvn1MmjSJzz//nOjoaLe+D6qqUmMHrbZ+xXUhhG/5UW9naAtXr3mwnO8mBoORAYOGtEnoARj0Gmb9LIz1i2OYPj6ULuE6/IwKOi3otXbKS74ksd9F1i/pxv6dzzBpUjovvPACr732mtuhdzqvmsyX88k9X7tXsqnDAqw2FQeBGKJ+wV/3lTd4/OZKDTfLy8sjOjqaN954g+nTpxMVFcXUqVMpLi7miSeeoKioiN27dzNv3jz69+/f6PBwSEgI27dvZ/To0SQkJHDgwIEGX5OcnMycOXOYOnUqdrt7Z4spioJBr0joCeHjpMfnpmmPn6L8qpfh57QRrNnHHVGXiIiIIDIysu5PREREvcKsrUVV1bqadtf3uM2YMYOBAweyevVqwsLC3L5mfkkNmS/nY6l270fIoFd4LL0TyXd//zqrq6vp1KkTBQUFdfOKdrudgwcPsmvXLt58803y8vIYN24cZrOZlJSUFqs/NOe9995j5syZLF68mNmzZ9cLSofDQUpKCsOHD2fJkiUe30MI4Zsk+Nz06KLTFBTXeHUNvdbBoO6n0NpOUFhYSGFhIUVFRXUfazSauhC8MRBvDsiIiAhMppbLEFmtVh599FG+/vprtm7dSlZWFuvWreOVV15h8uTJHr+O36/M55vzNrfPW4Ta8Fv3dAz+ft8POiQnJ/PYY49hsVjqthr07NkTs9lMVVUVVquVtWvXetzem+Xm5pKamkpCQgKrV6/Gz8+v7rHCwkLi4+PZuHEj999/f6vdUwhx+/3oN7C3tuF3dWD7h5dxcxSsPo2O+XMmEBzUcCGHqqpUVlbWC8LrHx86dKje54uLi/H39282ILVaLZmZmfTq1YtVq1aRmppKt27d+OKLLxqd43LVxSIbefk1HoUe1K523PtZJaOGGNi3bx+7d+/mq6++IiMjg9TUVCZMmMDq1auJiKgtvLZgwQK6dOnicXsbExsby4EDB5g1axZJSUm8/fbbdRvkIyMjef311/n5z3/OkSNH6tohhPjhkx6fm4ov15DxZK7H2xkUBYbHB5E5O8brtqiqypUrVxrtNRYVFZGTk8Phw4cxGo1cu3YNVVWJjo6mb9++jfYgr3/cqVOnFssDvfrWJfZ8etWtA8Bv5qwpZfeGEcTFxWE2mwkMDOQvf/kL2dnZDb42PT2diRMnMmXKFM9v2ARVVXnppZdYsWIFmzZtYvTo0XWPPfXUU3XDre6UXBJC+C4JPg8sevEsX5x0vfr3jYwGhefmd+fOXq6fglJlcfDhx6X886tKKqsc6PUKUZ2NpCR3ok8T13nnnXfIyMhg0aJFbN68mQ4dOrBs2TJ0Ol1dODYWloWFhZSXl9O5c+dmh1uzdnfHavNuEYdW42DRv4Uw8M7aU1Wur9y8fPlyg9NT7rnnHlauXMmwYcO8umdz9uzZw7Rp05g3bx4LFixAURTsdjv33XcfKSkpLFq0qM3uLYS4dST4PJB30cr8/zpTdw6nq4wGhbsHBpI5u6tLm9IvFlXz5vZC9n56BUWh3v00Cuj1CuFhBh4ZH8l9w0PRaGpPf3n22WdZs2YN6enpbNq0iaVLl5KRkeHyRnibzUZxcXGjoXj94/C7N6Ao3i0K9jcpzJ8RzqA+38+txcXFsXbtWu699956XxsREcHRo0dbfbjzZufOnWPixIn07NmTrKwsAgMDuXDhAgkJCWzdupWkpCQAzhdYeX/fZQqKbVTbnAQH6Rh4ZyAjh4ZiMspiaSF8mQSfh46drGLx/5xzufir0aAQ293EM/N6oNe1HEBHT1Ty9MvfYqtx4mxhONFk1HDXgCDmz4pg9uxHOX78OP7+/hiNRjZs2ECvXr1caqOrnE6VR36Xh7c/OP4mhd9O70xc3+97rXPmzKFnz57Mnz+/7nMWi4XQ0FCuXbvW4hBsa7BarfzqV7/i4MGDbNu2jT59+rBz504yMjJY9/on7Nxr4cx5Cw5H/e0bJqMGVVUZk9SJ9AfDiezsefkiIUTbkbemHhrcN4Bl/9mD0GAdfs28w9frFPQ6haSEDjzrYuidyLnKH176Bmt1y6EHYK12cvjLch6e8TY5OacpKChgypQpZGdnt3roQe0xZHq993vVVBUC/OrPmyUmJrJ///56nzt37hwxMTG3JPQATCYT69evZ+7cuSQmJrJjxw5SUsby07Ev8/KfCjj17TVsNQ33LFqrnVTbVHbuvUTG709y7OvKW9JeIYR7pMfnJadT5ciJq7y96zJff2tBr1NQvvu8Vqvw4KhQHhjRkbCOrpU9qrI4mDb3ONcs7q8acTqsVJf+jVf/eyp9+/Z1+/nueGZtIcdyrF5dw2RQWL8kBoP++0C7cOECcXFxlJSU1A3Nvv/++yxfvpwPPvjAq/t54uDBg6Snp5M0bhWVtm4u9/Chtpe/7Ine9O8d0IYtFEK4S7YzeEmjUUgYFETCoCAqqxyUVdix1TgJ8NMSFqpH50IP70Z/33/ZpV5eo23RmgjvkUbv3nd6dgE3PDQqmJyz1VjdCIIbabUw6p7AeqEH0LVrV4KCgjh16lRdeDdXgLatDR06lGWv7GXDWyUoGvdea7VNZdGKXDa+PIDAAPmvJoSvkKHOVhQUoCUmysgd3fyI7GxwO/RUVeWtncVYqz3fI2B3qBw82vBIsNY2MNbUaEV7V2kUhbFJHRp9LCkpqd5w5+0MPqdTZceeaygaz+br7A74+8elrdwqIYQ3JPh8yNe516j08jg0i9XJO7uKW6lFTdNoFGb9rCMGD+b6DHqFn97lT2RY48O/iYmJ9c7tvJ3Bd/REJRar529Eqm1Otu4sRmYUhPAdEnw+JL+4GlrhfOOCYu+qR7jqnkEBTB4b4lb4GfQKd/YwkpHe9NmgtcH3CeWVdgqKq8k7X0rXmNsTfO/sKvEq+ACqrjk4nlPVSi0SQnhLJh58iNXqxOlJWfebr2Pz7he1O8aPCCbIX8P6t0tRgOom6hRqtbXDm8N+4s/sSWFotY2H5aVSGwePB9N9yAYe+c2X6LQaDF2e4qWNRv75TR4Tx4bTo6tfo89tC+cLvFvAA7VD2BcLqxl0Z+sfPi6EcJ8Enw/xM2m+q1juXfjd6g3UI4cEMWSgP9mHrvLu3gosVifXdx6ogNNZu5DlgaQOTQ5vVtucvPBqHv/4vHZ+UqcPxG4Hu92JRmukxl47V5Z98Ap3dPPj6bm96Bji2kpZb3gz33qdwwEWq/flrIQQrUOCz4d0izZ5fOjzjbp3abliQ2sL8NMybkQwDyZ34FxBDeVXHTgcKgH+Gnp0MTRYvXmjaxYH8585zfkCKzXNVLZ3OsFmU8k5Y2H2opOsfLoPUeFtu0m8Nd5EaLXgZ5JzPoXwFTLH50N69/AnLNS7XoyfScPEB9qmwK0rFEWhexcDg/v4cVc/f/p0NzUbeg6HylMvfsO5Aiu2ZkLv5udUVNqZ/8xpKq56UyajZd1a4U2EoihER8opLkL4Cgk+HzN5fIRXvQw/o4b4AUGt2KK29fHhMk6ftTTb02uMU4XySjt/freojVpW62fmzl5t2wAI8NcysI9sYhfCV0jw+ZgR94ZiNHi2tNNo0DAtNfK7ecIfhj+/V+TxPFqNXeWv2Zew1bTdYp64/kH4+3k+TGk0aEh/INzlA8KFEG1Pgs/HmIwalmf2drvXZzQoJN8Twrj7mt4m4GvOXrBwLt+7VZOqCp8cLmulFjWk0ShMfTgCo9Gz4NLpYExSp1ZulRDCGxJ8PqhnjB8vPdmbwACtS3vkTEYNoxM7Mu/Rbj+onsWhf1bgdHi3msdidZJ94Eortahx4+4LIzEhxO2euNGg8NzvYgnwl4UtQvgSWdXpo2J7+POnZf3Y8UEJ2/9+CYdDrbeRWq9TQIEBvQOYNC6ChEGNH//ly66U12BvhVX+ZRVtu8BFURQWPNYdvU5h78GyFodmdVow6DUsXXAH/WJlbk8IXyPB58NCg/XMmNiFaQ9HcfBoOSdOX6Wswo7JoCEizMCo4R2JCDO0fCHhNa1G4fFZ3RgWH8Kb7xbyTZ4Fp1OtF9x+Rg0qkJLckbQHIuTfRggfJcH3A6DTKSQOCSFxSMjtbkqrCgnWo9XWbvD2RnDQrfkxVhSFYfHBDIsP5mKhlff3l1JYYsNa7SQ4SMvAPoGMGBqK0SAzCEL4Mgk+cdsMGdyBTdsKcHgxz+dn0jBiaGgrtso10ZEmfpne5ZbfVwjhPXlrKm6bXt38iI70foN48o+sJyyEaFsSfOK2mjwu3OMN+zqdwtiRnTDI0KIQwg3yG0PcVklDQukZY0LvZl0/RYEOgVoeeSiyjVomhPixkuATt5VOV7vXrUu40eW6flpNbbX7Fxf1vmULW4QQPx6KKqWhhQ+wWB0sW5PH4WMVOFWw2xv+WGo0tfsXY6JMLJ7Xi84dZbuAEMJ9EnzCpxQUV7PjgxJ2Zl/G6VTRaBScTnCqKklDQpg4NpzePfxvdzOFED9gEnzCJ9ntKuWVdqosDkxGDSFBOlnEIoRoFRJ8Qggh2hV5Cy2EEKJdkeATQgjRrkjwCSGEaFck+IQQQrQrEnxCCCHaFQk+IYQQ7YoEnxBCiHZFgk8IIUS7IsEnhBCiXZHgE0II0a5I8AkhhGhXJPiEEEK0KxJ8Qggh2hUJPiGEEO3K/wOXgvOnHUlSXAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -282,6 +282,46 @@ "draw(graph, pos, node_color = np.log(score), cmap = 'coolwarm')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Parameters**" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PageRank(engine='numba', damping_factor=0.85, method='diter', n_iter=25)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# default engine = numba if available\n", + "pagerank = skn.ranking.PageRank()\n", + "pagerank.fit(adjacency)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "pagerank = skn.ranking.PageRank(damping_factor=1)\n", + "pagerank.fit(adjacency)\n", + "score = pagerank.score_" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -298,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.542147Z", @@ -313,7 +353,7 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 18, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -332,16 +372,16 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" ] }, - "execution_count": 19, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -352,7 +392,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -368,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:54.855665Z", @@ -382,7 +422,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -391,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -400,7 +440,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -410,7 +450,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -433,7 +473,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -442,7 +482,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -453,7 +493,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.922265Z", @@ -464,10 +504,10 @@ { "data": { "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -478,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -494,7 +534,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:59.507410Z", @@ -504,7 +544,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -534,7 +574,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:59.948034Z", @@ -549,7 +589,7 @@ "\twith 41 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -561,7 +601,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.160391Z", @@ -582,7 +622,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.418151Z", @@ -593,10 +633,10 @@ { "data": { "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" ] }, - "execution_count": 34, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -607,7 +647,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -623,7 +663,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.579524Z", @@ -637,7 +677,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.664046Z", @@ -651,7 +691,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.743915Z", @@ -667,7 +707,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.828186Z", @@ -682,7 +722,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.909582Z", @@ -697,7 +737,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 43, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:01.562315Z", @@ -707,7 +747,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAAEuCAYAAADx63eqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOydd3hU1fq272lpk4T0XiGQkChyaIISgtIkFBECKCRItdGRTwVRQvmpVBXhiAJHmlRRUaQoSlWqSCehpZBGSZ8kUzKzvz9yZp8MSUgdis59XbmS2bP3njWTvedZ71rveh+JIAgCFixYsGDBwj8E6YNugAULFixYsHA/sQifBQsWLFj4R2ERPgsWLFiw8I/CInwWLFiwYOEfhUX4LFiwYMHCPwqL8FmwYMGChX8UFuGzYMGCBQv/KCzCZ8GCBQsW/lFYhM+CBQsWLPyjsAifBQsWLFj4RyF/0A2wYMGCBQv/DHLztPywJ5PT5/MpLNJhrZDi421L3x7ePBbmiEQiuS/tkFhqdVqwYMGCBXNyNUnFqg3JHPszB4kENNr/yY5EAtbWUlycrIiN8ad3N2+kUvMKoEX4LFiwYMGC2Thw5A5zFl1CozVQndrYWEtp84Qzs94Ox9rKfDNxljk+CxYsWKgBERER7N+/H4D4+HhiY2MfbIMeAY6czGb2wkuoNdWLHoBaY+DE6VxmfHgBg8F8MZlF+CxYsGB2Vq9ezeOPP46dnR1eXl68/vrr5OXlPbD2bNy4kfDwcJNt3bp1q3TbRx99BMCFCxfo3Lnz/WriI09unpb3PrqIRmuo1XEarYG/zuWx+fs0M7XMInwWLFgwM4sWLeLtt99mwYIF5Ofnc/ToUVJSUujWrRtarfaBtCkqKopLly5x+/ZtAEpLSzlz5gzFxcUm244cOUKnTp0eSBsfdX7Yk0ldZ9LUGgMbvr2BXm+eqM8ifBYsWDAbBQUFzJw5k88++4znnnsOhUJBUFAQW7ZsISUlhfXr16NWq7G1teXOnTsAzJ07F7lcTkFBAQAzZsxg0qRJAGg0GqZOnUpAQACenp689tprlJSUALB//378/PxYtGgRHh4eeHt789VXX1XaLh8fHxo3bszBgwcBOHXqFBEREURFRZlsMxgMtGnTBoCgoCD27t1b4VxqtZrY2FhcXV1xcnKibdu23Lx5E4CMjAz69u2Li4sLISEhrFixQjwuPj6eQYMGMWzYMBwcHIiIiODkyZP1/swfBvR6gS0/pJkksdQWjdbA8b9yGrBV/8MifBYsWDAbf/zxB2q1mv79+5tst7e3p2fPnvzyyy/Y2NjQtm1bDhw4AMDBgwcJDAzk999/Fx9HRUUB8Pbbb3P58mVOnz7N1atXSU9PZ/bs2eJ5s7KyyM/PJz09nVWrVjF27Fhyc3MrbVunTp1EkTt48CCRkZF07NjRZFv79u2xsrK653tcs2YN+fn53Lhxg+zsbJYvX46trS0AL730En5+fmRkZPDNN98wffp0fv31V/HYH374gRdffJG8vDz69u3LuHHjavzZPsycOpuLTle/aK24RM+WH9IbqEWmWITPggULZuPOnTu4ubkhl1dcMuzt7S1GeVFRURw4cIDS0lLOnj3LhAkTOHDgAGq1mhMnThAZGYkgCKxYsYKPP/4YFxcXHBwcmD59Ops2bRLPqVAoeP/991EoFERHR2Nvb09iYmKlbSsf3R06dIjIyEgiIyNNthkF914oFAqys7O5evUqMpmM1q1b4+joyI0bNzh8+DDz5s3DxsaGli1bMnr0aNatWyce27FjR6Kjo5HJZMTFxXHmzJmaf7gPMRk31egbIDklPbOkAVpTEYvwWbBgwWy4ublx584dSktLKzyXmZmJm5sbUCZC+/fv59SpUzz++ON069aNAwcOcPToUUJCQnBzc+P27dsUFxfTunVrnJyccHJy4rnnnhPn5ABcXV1NRNbOzg6VSlVp2zp16sTZs2fJzc3l6NGjdOjQgbCwMDIzM8nNzeXw4cM1mt+Li4ujR48evPjii/j4+PDWW2+h0+nIyMgQBdpIYGAg6en/i2K8vLxM2qpWqyv9rB411GoDhgaYn9NoapcYU1MslVssWLBgNjp06IC1tTXffvstgwYNErcXFRWxa9cuPvjgAwCeeuopEhMT+e6774iKiiI8PJzU1FR++uknMepyc3PD1taWCxcu4OvrW++2NW7cGB8fH7788ksCAgKwt7cX2/zll1+iUqlo3759tedRKBTMnDmTmTNnkpycTHR0NKGhoXTv3p2cnBwKCwtF8UtNTW2Qtj8s6HQ6cnNzyc3NJScnR/z75DkwGLyor8TY2soapqF3YRE+CxYsmI1GjRoxc+ZMxo8fj6OjI126dCE9PZ033ngDPz8/4uLigLJop3Xr1ixbtoyffvoJKBPDL774glWrVgEglUoZM2YMkydPZunSpXh4eJCens758+fp0aNHndoXGRnJ4sWLGTp0qLitY8eOzJ8/nzZt2ohzdfdi3759uLm5ER4ejqOjIwqFAplMhr+/P0899RTTpk1j4cKFXL58mVWrVrF+/fo6tfVBIAgCxcXFJqJWXuRKSkpwcnLCxcUFZ2dnXFxcaNy4MY4uak5fzkNfj4BNIoGmwcqGezPlsAifBQsWzMpbb72Fq6srU6dO5dq1azg6OtKvXz++/vprrK2txf2ioqL466+/aNeunfj4m2++MRlunDdvHrNnz6Z9+/bcuXMHX19fXn/99ToLX1RUFBs3bqRjx47itsjISKZOncrIkSNrdI6srCxee+010tLSsLe3Z/DgweLi9o0bN/Laa6/h4+ODs7Mzs2bNolu3bnVqq7nQ6/Xk5+dXiNqMPzKZDGdnZ/EnMDCQli1b4uzsjKNjWX1Ng8FASkoKly5d4siRI8jlCpS2j5Gnq3u7rK2kDO7n33BvtByWkmUWLFiw8DdHo9GYiFpOTg55eXniUKy9vT0uLi4VojdnZ2dsbGwqPadOp+PatWskJCRw+fJlnJ2dCQ0NpXnz5ri5ubF9dwZL/3MdtbpuYZ+vtw2bvmhnlsLVFuGzYMGChUccQRAoLCysMmrT6XQmUVt5YXNyckImq9lcWklJCVeuXCEhIYHr16/j7e1NWFgYYWFhNGrUyGTf4hI9A0cfI7+g9mGftbWUaROa0bWTZ62PrQkW4bNgwYKFR4DS0tIK82zGqC0vLw9ra2tRzO4WOKVSWefIqbCwkISEBBISEkhLSyM4OJiwsDCaNWuGnZ3dPY+9mqTi9bdOU6LW1/j1bKyl9Ovpw7hRTerU3ppgET4LFixYeAgQBIGSkpJKsyRzc3MpKiqiUaNGlUZtzs7O1S60rw3Z2dlcunSJhIQEsrOzadq0KWFhYYSEhNT6da5cVzFxxhk0GsM963ZKJGBlJeWlF/wYNSTIrN5891341FqBghKBUj1IpWCjgEZ2kvtmQGjBggULDwqDwUBBQUGVWZJAlVGbo6MjUql5ll4LgkBmZqYY2ZWUlIjzdUFBQTUeCq2KvHwd23dnsPWHdDRaPSXl5v2srSQYBHiqjSsv9ffnsTDH+r6darkvwicIAtmFAtdvGshRCUglIAASyn4rZBDsKcXPVYpCZhFACxYsPLpotdoqo7b8/HyUSmWVUZutre19CwIMBgOpqalcunSJxMREZDKZOF/n5+fXoO0QBIEStZqcnFyOncoj+YaGgkIDNjYSXJ3ktG9tT4Bf2WL/+opsTTC78Gl0AieullKk4Z5rOmT/7cj8K1iGRyNLQRkLFiw8nAiCQFFRUZVRm0ajMcmOLC9wTk5OlZZvu1/odDquX78uZmI2atRIFDt3d3eziK5erycjMxOdTndPtwbja3t6eKBUmmf9nvha5hQ+jU7g94RSNLqyyK4mSCXQIlCKj4v5Vd+CBQsWKkOv15OXl1dllqRCoagyanNwcHiopm7UajWXL18WMzG9vLxEsXNycjLra+v1em6kpaHX1zy5RSKR4O7mZlLqraExm/AZBIHDl0opUtdc9IxIJdC+mQwnpSXyqwujR4+mcePGTJ8+/UE3xYKFWiORSLhy5QohISFmfR21Wl3l2jaVSoWDg0OlUZuzs7PJwvuHkcLCQhITE0lISODGjRsEBQWJmZjmjqaMCIJAWnp6nTwXJRIJPt7eVa4hrC9mE77MXANnU/R1LlnjrJTQIfTBF5YJCgri5s2bJuPOly9fxsfHp87nLC0tRaFQkJSURFBQUL3at3LlStavX8/+/fvrdR4APz8/srOzkclkKBQKnn76ab744guz1hasT/t/+OEHPvroIy5evIitrS19+/Zl0aJFYs1FCw8XnTt3JjY2ltGjR99zv4YSPkEQKCgoqHK+Ta/XV7m2LTc3l5CQEFEklEolbdu2ZeLEiQ9d5RUjOTk5YibmnTt36pWJ2RCoioq4detWnc1ora2t8TPTd4/ZlOX6TUO96rTlFwsUaQSU1g9+yODHH3+ka9euD7oZ94Vdu3bRuXNn1Go1r776KhMnTuSbb7550M2qlMLCQmbOnEmnTp0oKSnhxRdf5J133mHp0qUPumkW7hM6nU6M0ipb42Zra2sStTVr1kwUODs7uyqHJI0muHl5ecjlcrKysti8eTMvvPACS5cuZfjw4ffxXVaOIAhkZWWJySnFxcWEhoYSFRVFcHDwfUkSuRd5eXl1Fj0oSxLS6XQoFIoGbFUZZhlLVKkFCkvqF0gKAqTcqvm48P3GYDAQExODl5cXTk5OdO7cmUuXLonPx8bGMmHCBHr27ImDgwMdOnQgKSkJQKw9GBERgb29Pdu2bSM7O5vo6Gjc3d1xdnamT58+JvYlq1atIigoCAcHBxo3bsymTZs4d+4c48aN49ChQ9jb24sWL7GxscTHx4vHfvvtt7Rs2RJHR0dCQkL4+eefq31/NjY2DBgwgIsXL4rb1Go1U6ZMwd/fH09PT9544w3UajVAg7Z/x44dNG/eHAcHB/z8/Pj4448rbePQoUPp0aOH+OU2evRo0bzUwsPNihUrCAkJwcXFhb59+5KRkWHy/N69e2natCnOzs688sor3Lhxg3PnzvHOO+/QvHlznnvuOezs7PDw8OD999/n5MmT5OTk8O6773L48GHWrl3LvHnz2LNnD3369KFfv37Mnz+fAwcO4O/vLy7obtGiBd9//3217fXy8mLixInEx8fz9ttvYzCU9eozMjIYMGAA7u7uBAcHs2TJEvGY+Ph4YmJiGDx4MA4ODrRq1crEby8oKIgPP/yQ8PBwnJ2dGTFihHg/VYXBYCA5OZndu3fz6aefsnXrVkpLS+nduzdTpkyhd+/ehISEPHDR02q1dRriLI8gCOTl5zdQi0wxi/DlFgnUd25XAO4UPtxr63v37s2VK1fIysriscceEyvNG9mwYQNz5swhJyeHgIAA3nvvPQDR6PLChQuoVCoGDBiAwWBgzJgxpKamkpKSgkKhYOLEiUBZ73PKlCn88ssvFBYW8vvvv9OiRQsef/xxli5dSmRkJCqVSjT1LM8ff/zByJEjWbRoEXl5eezbt4/AwMBq31tRURFbtmwxsWWZOnUqSUlJnD17litXrpCcnMz//d//ATRo+0eMGMGqVasoLCzk7NmzNTIDNX6uERERNdrXwoPjt99+Y9q0aWzZsoXMzEwCAgKIiYnh2rVrnDx5EigTxtdff51XXnmFDRs2sHDhQhITEzEYDFy5coWoqCjS0tKYO3cu27dvZ8iQIURHR+Po6MiePXtYv349t27dQqvVsnDhQgBefvllE2eEM2fOkJ6eTnR0dI3b3r9/f27duiW2pU+fPjzxxBOkp6fz66+/8sknn7Bnzx5x/+3btzNw4EBycnIYMmQI/fr1Q6f7Xwmvr7/+mj179nDt2jUuX77M3LlzK7xmaWkply9fZvv27SxatIg9e/Zga2vLSy+9xPjx4+nevTv+/v4PV0KNRtMg5ykpMY8RrVmGOnWlAoYG8A8sfUgCvn79+okpyJ07d+b7779HKpWaDHfEx8fj7u5OUVGROC8QExNDmzZtgLLo5F7JJu7u7rzwwgsA2NraMn36dHr27Ck+L5FIOH/+PP7+/nh7e+Pt7V2jtq9atYoxY8bQpUsXAPz9713tvHfv3sjlclQqFV5eXuJNbDAYWLlyJYmJiTg7OwMwbdo0Ro4cyZw5cxq0/QqFgosXL/L444/j4uKCi4tLte9z165dbNiwgRMnTlS7r4X7j0ajQavVkpmZyffff09UVBQXLlzg8OHDODs7c+zYMb777juaNWsGwKRJk+jSpQvOzs4kJSXh7e1NTEwMKpWKoKAgpk2bBpR1ksaNG8fNmzdFU9cRI0aI5xk0aBA//PADAM8//zyvvfYaV65coWnTpqxbt47BgwfXav7LOLefk5PDiRMnuH37Nu+//z5Q5u83ZswYNm3aJLpFtG7dmpiYGACmTJnCokWLOHr0KJGRkQCMGzdOvCffffddxo8fz9y5c1Gr1WJNzGvXromZmFFRUWbPxKwNer0enU4nRnji3zodEkn9C5MYGkJIKsEswieVlJWfqW/aTH5eHrNm/bthGlVH8vLy6N+/P02a/K9u3KxZszAYDOzdu5eLFy9SXFws/oNnzJiBk5MTZ8+excXFhVmzZgFw7do10tLSmDVrlpja+8knn4giotVq2bVrF9euXROHO7RarXh87969efPNN3nppZcICAigR48euLm58eeff5KcnCzuB3D27Fnxtfbv30/z5s1Nnq+KgoICYmJiCA4OxmAwcOnSJdq2bcu4cePQ6/VoNBpCQ0MrHDdr1qwGbX+vXr1YsGAB48ePx9PTk27duuHn51dlu1NTU9m4cSODBg16pLzO/mlkZGRw4sQJEhMTadasGdevXwdALpdja2vLpUuXKCoqAuDEiRPi85cvXyYrKwuNRsNff/1lcl0Z+eCDD3B1dSU5OZnjx4+Lz//1119cvHhRfGwUp6ioKL788ksGDRpU6b1hrKIye/Zsk2HDnJwcoMxu6ObNm6SlpZlkHgqCQEBAgHjvFRYWmpxfKpWyZMkSfvvtN/Ly8jh06BA3b94E4NatW6SmplbanpSUFFJSUkyiyYeZZs2a0ap163qvWTRXFGuWrM76ZnQakZYWoM44JE5cq9VqnJycKl074+zsbJaFoUFBQaxcubJCcstXX33FokWL2LFjB4GBgWRnZ+Pu7i5masbGxhISEiLOte3du5fRo0eTnJyMXq9HLpebZHXOnDmTw4cP8/XXX+Pl5cXJkydp27ZthcnhkpISpk2bxpkzZ9i3bx+rVq1i3bp1JlmR5V971KhRuLi4sGDBgmrfq5+fH+vXr6dz587iNmdnZ7766iv69OmDnZ0dqampeHpWrJjekO03otPp+PTTT1m2bJk4P3o3J0+eJDo6mtWrV9dqyMpC7SktLb3n2jZra+sq17bZ29vzzDPPEBsby5EjR3B1dWX+/PlA2bC6k5MTV65cISgoqEJW5/Dhw/Hz82Pu3LmsXr2alStXcvjwYbFd5fe/O3P07v2PHDlCXFwcn3/+OW+88QZXrlyp9L0mJycTHByMTqcz+V5ZuHAhCxYsIDMzk2PHjjFs2LAqzxEfH8/u3bs5evQoUBa9+Pr6smXLFiIjIwkKCmL8+PF06NCBhIQEDh06xK5du9i5c6dYOcUYSVWIqO56fPf2u7cBWFlZiT8KhaLKx/d67u5tMpmsUnGqb0anEXNldpol4nN3lNQ72pNJIaKJM37t+onbtFqtSQZXdnY2V69eJTc3l7y8POzs7Kpcd9PQpYAKCwuxtrbG1dWV4uJi3n333Zq/N5kMV1dXrl+/LgpfYWEhdnZ2ODs7k52dzezZs8X9MzMzOXnyJF26dMHa2hqlUin2Qj09PUlLS6sy+2nUqFH06tWL6OhooqKiyMjIoKioqNLIrTyCIPDdd99RWFhIWFgYMpmM0aNHM2nSJJYsWYKbmxvp6elcvHiR7t27N1j7S0pK+O677+jduzeOjo73LGF05swZoqOj+fe//20RvQbCWCS5sizJoqIiHB0dTe6xwMBAsSJJTde2DRkyhBdffJEhQ4bQvHlzpk+fzpNPPlnvpT01oUOHDkilUt58880Kc/L34ubNm2zdupVZs2bxySefoNfriYiIQKlU8t577zFs2DAAMWpt1qwZN27c4OTJk8ycOZM2bdrw7bffotfruXTpEidPniQ/P5/58+czfPhwFAoFv/32G6Ghoezdu7dawVEoFFhbW+Pg4FDtvkaBup/Y1cC5vjokEgmOjuap22kW4ZPLJPi6SLiRXT/183Y2FSorKys8PDzw8PCosK+x+Gv5GzUxMVG8gQVBqLI32qhRo1oXfx0xYgS//PILPj4+uLq6MmvWLL788ssaHz9r1iyGDBmCWq3mP//5D1OmTGHIkCG4urri6+vLpEmT+PHHH4GycfQFCxYQGxuLRCLhX//6F59//jkA3bp1o2nTpnh6emJlZUVWVpbJ6zz11FOsWLGCCRMmkJycjJeXF59//nmVwtezZ0+xFxcUFMT69esJCwsDYNGiRcTHx9OuXTuys7Px8/Nj7NixdO/evcHan5SUxJo1axg7dix6vZ6wsDDWrVtXaVsXLlxIdnY2w4cPF+dbmzRpYpI5Z8GUyu6T8gJnMBhM7g0fHx8ee+yxOt8ndyORSOjSpQtz5sxhwIAB5Obm8tRTT7Fp06YGeof/QxAESktL0ev15ObmitFP7969+fjjj/noo484efJkpdFTWloaAPb29giCgJWVFX5+fsTExJCens78+fOxsrLihRde4Mcff2TJkiWUlpbi4+PDkCFDsLe3R6PR8NRTT3Ho0CEWLFiAu7s7L730EoWFhQQGBmJra8uIESPYtm0bWVlZ9O3bl+XLl1dr9fMoIJVKsbe3p7CwsF7nsTfTYnuzLWBXlQgcTijFUIezSyXg7yYhwr/hdLmqnmxubi4qlaqC3Ud5cXwQiz8tWKgrd4+MlBe5/Pz8SkdGjNe7OYskt2rVivfff59+/fqZbBcEoUbDdXc/vtdz5deA3R0NHT9+nAMHDvDBBx9UGylV9bi6DkBpaSmTJ0/m3Llz9OrVCwcHB8LCwmjevDkeHh5ix7KyaZS/C1qtlrT09DoPdzo6OuL+3yVODY3ZFrDb20po4iWt00J2WysI9WnY0NzW1hZbW9tKK66Un7swfkGkpKRUmLswDuncPXfxMKURW/j7YyySXFXUVtlceEhIiOi2XdcFwQaDoUaCU5lAXbt2jfPnz5OYmMjnn39usq9er69UoKqad7K3t6+xYN19bxYXF7NixQqmT59O//79G+LfIaLRaMRMzKtXr5Kamoq1tTWjR48Wk9j+SVhZWeHs5ERuHRayK+RyXGuQzV1XzFoTLMRLSqleIPWOUCPxk0jKRO/JZnLk99GeSC6X4+bmJi6gLo8gCKhUKpMvmGvXromPdTpdhZ5zeZF80AtJLTya6PV68vPzKx2hyM3NRSaTmXTAgoKC+Ne//iVWJCktLa0gRnl5eeLatrpEU0aBqml0ZJx/WrZsGTt37uSdd95hyJAhFfavTKDMwZ49e+jfvz9du3ZlyJAhDXJOlUol1sRMTU0lMDCQsLAwnnvuOdRqNVevXv1Hip4RJycnDAYD+QUFNRY/uVyOj4+P2bwH4T758aVl60lMN1BqqNyaSCYtW/rg7Swh3F/2SHnyaTSaSq1JcnNzKSgowN7e/p7eWxb+uRT9N/MtOzub7Oxs0a+tsLCQ4uJibGxssLW1xcbGRhQI4/zr3eunyguUwWCo1fBdTbP45HK5ZXSDsqUOxpqYt27dIiQkhLCwMJo2bfrQF69+UBQUFpKTk4PBYKhUAI3XlVKpxN3NzayiB/fRgd1gMHDtpkDSLYPJwnQJ4OYI4f4ylNZ/LzcGg8FQZa89JycHqVRaZRaqg4OD2f/5FqpHEAT0en2thvbKPy4uLqakpAS1Wm0SORlvO4lEIhYFVygUotgplcpazTvVJMXcQt0QBIGbN2+K7uQqlYpmzZrRvHlzgoODH6i/3qNEqd7AuYQc8vMLcGkkYCUvC4SK1VCktqZlhAdOjvcnn+K+CF/qHT2XM8rm+iqL+KT/vUc9nSQ85i9DIf/737SCIFBcXFypJUpubi4lJSUmCTd3C6Q5Crc+yhgz+GqaGFGbdVBSqbRKwZHL5aI4Gl9fo9FQUlJCcXGxOORn/F+6uLjg5uaGu7s7jo6OFoF6SDEYDKSlpYmRHSB62Pn7+1s6pbVkz6Ec1nyThUYnUKKuKALWCgkGoH1LR8a/7Iu9nXmniMwqfIIgcDFNT1p2zeb4pBKwVkCHZnJsrP7ZXwhVVZ03rlm0sbGpMlq8V9X5B40gCPecS6rrIl2dTodMJqvR+qfaDgMah7Mry5IsLi6mUaNGVbptWzKCHx1KS0tJSkoiISGBxMRE7O3tRbHz9PR8aO+phxlBEFixKZNdB3LQaKuXGoUcnBspWDi9CW7O5uvcm1X4LmfoSbpVu6xOCWUJLk83l9/Xub6aeoU9DAwfPhx3d3fGjh1bI5+xu9cs1iThxmAw3FNwvv/+e3744QcWLVpUrUDdLXRViVBtxKkygaprL9w4JF1VlqREIqny83R0dLT0/u8iPj6eq1ev1qp8XEREBMuWLTOpGmRu4uPjSUxM5N133xUzMT08PESxq0mNWHOwf/9+YmNjxbWEjzIbfrjJ1p23ayR6RqRS8HC14rOZISjNFPmZbXC6sETg+k1DrdfxCUCJDhIz9PSODCEjI4OMjAyTjMuWLVty5syZBjFyfdiprEQTlJXyCQoKIiAgoILAFBYWipFhXl4eaWlpqFQqiouL0Wq1JnNBUqmUCxcusHv3brKyspDL5YSEhNClSxfc3d2rFKfmzZvTokULioqKxOG8uqaYV2c8unr1akaNGlUhGejy5cu4urrW6HPUarVVRm0FBQUolUqT5Srh4eEmVX8smLJhwwYWL15MQkICDg4OtGzZknfffZeOHTvW6XwXLlyodp+qyojVlqKiIhITEzl37hzXr1/nzJkzYiZmXUyMjxw5Qo8ePcRsW4AxY8awefPmCttkMhnLly+v1fkf1fV+qRlqtvx0G62udiJgMEB2ro7V27IYG/eIGdEm3Wy6hX4AACAASURBVNLXafE6lGV4pv+36ktwcDAbN25k/PjxAJw7d65eVhWlpaUNOhld0/MZEyRqu0j35MmT3L59mzVr1ojPXbx4kRs3bjB37lwMBkO1guPp6Ym/v78odsa2qNVq9u3bx9q1axk4cCCNGzdGr9fz22+/sX79elasWEFgYKAY3Tg4OCCRSBr8M6wJHTp0qCD+5Sm/7KSyOVONRmMStbm5uYmmpE5OTsjl8gfyvh5FFi9ezEcffcTy5cvp0aMHVlZW7N69m+3bt9da+O7XZ56XlyfO1928eZMmTZrg4eGBlZUVQ4cOrde527Rpg16v59SpU7Rt2xaAQ4cO4ePjY7Lt4MGDzJw5s97v5VHh+1+y0evrJgK6UoG9v+cyapA3NmZIejTLGE2pXiAjp/4jqHoDxMXFsXbtWnHbmjVrxLp4Rjp37szKlSvFx6tXrza5ASUSCcuWLaNp06Y0bdoUgF9++YWwsDAaNWrEuHHjEARBTJAoLi5m6dKlNGvWDCcnJzp16sS+ffs4f/48p06dQiKRMHnyZPz8/PDz82P79u188803bNiwgdWrV7NixQpeffVVvLy8sLW1JTg4mEmTJvHpp5+ycuVKQkNDmTBhApGRkbRs2ZIxY8Zw9epVsrOz0Wg0yOVyGjVqhFarZcWKFVy9epU33niDqVOnEhMTQ0hICCEhIfzxxx8sWLCA77//nn79+jF+/HheffVVOnTowJo1a3jttdd4++23KSoqolu3bkRFRdGxY0eioqLo1q0bvXv3Ztu2bcyaNYu1a9cyc+ZM3n77bTZs2ICjoyPbtm0jKSmJWbNm0aJFCzp27IhSqWTgwIG8+eabPPHEE1y+fJk7d+5w/vx5unXrhouLC6GhoWzZskX8/IcPH87YsWPFChZPPvkk165dA/5nyvvEE09gb2/P5s2bq74e9Hqys7O5cuUKx48fZ8+ePXz66acolUrGjRvH8uXL2bp1K5GRkZw+fZrg4GBWrFhBZmYm27dvZ9q0aWzatIl27drx5JNPolAocHd3Z82aNQQEBPDss88CcPToUZ566imcnJx44okn2F+ugPbq1atp3LgxDg4OBAcH8/XXXwNw9epVoqKiaNSoEW5ubgwePLhW1/qjQn5+Pu+//z7Lli2jf//+KJVKFAoFffr0MSmErtVqGTZsGA4ODkRERIg+e1AWwcybN48WLVqgVCopLS0lKCiIvXv3AnD8+HHatGmDo6Mjnp6eTJkyBfjfteLk5IS9vT1HjhzBYDAwd+5cAgMD8fDwYNiwYeTn5yMIAidOnEAikRAbG0tAQAC9evUiMTGRqVOnMnDgQDw9PdHr9VW2814ms+VRKBS0b99e9Nk0rpUcPHiwybbLly+L7+Grr74SzZYbN27MF198Uem54+LiSE1NpU+fPtjb2zN//nzGjRuHvb29+COXy02Mpx8GStR69h3JrZdRgUQi4cCxvIZrVDnM0tW6XfBfI9p6aJ/eUObH1759e9atW8elS5do1qwZmzdv5tChQ8yYMYOSkhLy8vLQ6XTk5uaSlJRUVibnv0N7R44cEU0fV65cycyZM5FIJCxfvpzJkyczbNgwwsPD+e2330RfsKysLK5cucLOnTt5/fXX8fHx4ZdffuHVV18VSxxBWe9t+fLl2Nvb4+joaBJppaWlMWnSJL7++mueeeYZPv/8c1auXMnFixexsrJiyZIlpKamcuzYMWxsbHj66afJzs5m4MCBFT4HlUpVYajTysqKrVu3snv3blq1asXLL7/Mu+++y6ZNm0SRmz17Nrt27eLs2bN0796diIiICiatiYmJpKamiq8rkUjEm2no0KH8/PPPvPDCC+Tn57N27VomTpzIli1buH37tuj8fPz4cbKyspgzZw7R0dEsWLCA/Px8XnnlFaysrGjbti2lpaVs3Lix0vYePHgQiUTCmTNnCAkJoaSkhIyMDJNhycOHD5ORkcGHH36Io6OjSeTWvXt3dDodK1eu5NSpU7zwwgu88sorTJ48GShzkt+0aRN79uwhODiYYcOGMWHCBJP5pwMHDnDp0iWkUinp6en06tWLdevW8dxzz/Hrr78yYMAAEhISsLOzY8KECZw4cYLQ0FAyMzNFm5r33nuP7t27s2/fPjFS/zty5MgR1Gq16L1YFT/88APffvstX331FTNmzGDcuHGiSwGU2fr89NNPuLm5VYj4Jk6cyMSJE4mLi0OlUnH+/Hmg7J4LDg4mLy9PPOY///kPq1evZt++fbi7uzNw4EAGDBhA3759RWPjgoIC0tPTSU5O5tlnn6Vr167isGFV7TSazD7//PNs3LiRtLQ0unbtSmhoqOi1V55OnTpx8OBB3nzzTQ4ePEjHjh3p2LEjS5cuFbcFBweL9loeHh7s2LGDxo0bc/DgQXr27Enbtm1p1aqVyXnXrVvHoUOHKgx1Ll26FIDTp0/TrVs3nn/++er/efeRP8+rkEnrJwJqjYFdB3Lo0anh51rNInwanVBvdwYoSzrYvXs3YWFhTJgwgaCgIGxsbPjqq6+AsujPy8uLW7duce7cOXHoIisrC61WS35+vihUo0ePJiIiAisrK3766SfCwsKYOXMmVlZWvPzyy0RERBAdHc0rr7xCz549mTdvHqNGjQLg1Vdfxd7enrZt24ru5QsWLBAjhLtZv349vXr1EmsSvvXWW3z22Wf88ccf4uT9hAkTxPJpffr04fTp07X6bPr370+7du2AMpNbY694x44dBAUFMWLECKCsPuKAAQP45ptvKgif8YuhMlNYb29vE0d3Hx8fUUx8fX05ffo0zs7OxMbGsnnzZlq0aMHnn38uilXHjh3ZsGEDt27d4tKlSzRp0oTTp0+TnJxM06ZNWbVqFXv27KG0tBSAzZs3I5fLKy2S3KxZM1avXi06aQO4urqKUWPz5s05ePAgTz75JBKJRDQeNRIXF8djjz0GwJw5c2jZsiVr1qwRn4+PjxfNg9evX090dLTo9tCtWzfatGnDzp07iYmJQSqVcv78eQICAkwMdRUKBSkpKWRkZODn51fnua6Hnezs7ErF6m46duwofoZxcXF88sknJs9PmDChSlNkhULB1atXuXPnDm5ubrRv377K11m/fj1xcXFcuHCBxMRE2rdvz9y5c/nqq68oLS1lzpw5zJ8/HwcHBx5//HFGjBjBxo0bRRGpqp01MZktT1RUFEuWLEEQBA4dOkRkZCQdOnQgNjZW3BYVFSXu36tXL5Nju3fvzqFDhyoI3724ffs2/fr147PPPuNf//pXjY+7H+QVlFJax2HOu89jDswy1GkQ6m9CC2V9hYKCAlq2bMmpU6c4c+YMXbp0ITw8HEBMsLC3t8fPz48WLVrQokUL/P39USqVtGjRgieeeAIo65G1aNGCiIgIDAYDISEh+Pj44ObmhpOTEwEBAWJ2XkpKChMnTsTJyUlMdhAEgfT0dLFt93Iyz8jIEAUSyiqV+/v7mxxvdIsGsLOzQ6VS1eqzqer4lJQUjh07JrbdycmJr7/+uoJrAyAmDGVmZlZ4LjMz0ySh6F7v1/iaQUFBtGrVii5durBv3z5kMhktWrTA2dkZb29viouLSUxMJD09ncLCQs6dO8e5c+eAsoQDLy8v8X9Y/sfDw4P27duLyTp5eXmi6BkZM2YM58+fZ/z48RWqZ5Rve2BgIDqdzkTUyz+fkpLC1q1bTT6/w4cPk5mZiVKpZPPmzSxfvhxvb2969eolrvGaP38+giDQrl07IiIi+M9//lPl5/Uo4+rqyp07d8QOS1XcfX2q1WqTY+51Pa1atYrLly8TFhZG27Zt2bFjh8nzWq2WCxcusG3bNs6fP09OTg4uLi6MHDmSd955B71ej1QqFZOo7v7/Z2RkVNtOYyem/HXwwQcfiKaxd9O+fXsxOj148CCRkZHY29vj7+8vbjMOcwLs2rWL9u3biwlVO3fuNLkmq0On0xETEyNaPD1IjIljN27cICEhgZMnT5KYeAV9fQ1ZoUHEszLMEvEp5BKk0soXq9cGqVRCdHQ0Tz31FD///DPnz59n+fLl4gVt9GqzsrIiJyeH1NRUtFotp06dIi8vjx9//FEc6lyzZo2Yen727FmOHz/OsmXLxEXIiYmJ/Pnnn7i7u2Nra8uECRPo2bNnhcSR5ORkALHSvXF4s3y1DB8fH/ELHcoSL27cuIFvHQwVa7t2yN/fn6ioKH755Zdq9w0NDcXPz4+tW7fy1ltvidsNBgPbtm0zqaJfvh2CIKDRaNBqtZw9exaVSkV4eDgTJ04kJyeHkpISscNgLPLt6+vL0KFDcXJy4vfff2fXrl1MnToVgGnTptGvXz+cnJzE5JTk5GQxQeXs2bPcvHmT7777rsKSAqVSSVFREZMmTWLUqFHEx8czYMAAk1T0GzduiH+npqaiUChwc3MTt5d/b/7+/sTFxbFixYpKP7MePXrQo0cPSkpKmDFjBmPGjOHQoUN4eXmJxxw+fJiuXbvSqVOnKjNVH1U6dOiAjY0N33//PTExMXU+z72u66ZNm7Jx40YMBgPffvstMTExpKamipmfixcvJigoiLCwMMLDwwkNDeXpp58GyjJ95XK56PMIZf9/o7VWampqpYXq78bf35/g4OAqTWbvxsbGRhTpzMxM8fUiIyPZsWMHZ8+eFYVPo9EwYMAA1q5dy/PPP49CoaBfv35V1rKs7LMaP348Dg4OzJ07t0btqy1arRaVSoVKpaKoqKjC7/J/GwwGlEol9vb2KJXKsnlfuSuyBtAApe0jtJzBWVl/I1oJIJOWzTl5eHiwfv16cnNzadWqldhzbNWqFUFBQXTt2pXff/+dxYsXk5GRwfTp0/H09OTVV18Fyi6S1157jSZNmqDX68nIyCAiIgI7OzueffZZVq1aRUFBAV5eXvj7+zNw4EC+/PJLGjdujK+vL7m5ufz555+0bt0arbbMzXjnzp388ccfYvYlIIqkVqtl+/btvPXWW0RERLB3716x6PDevXvRaDRcvHhRtDy6c+cOKpWKtLS0CtmZHh4epKWlodVqa7QYunfv3rzzzjusW7dO7AmePn0ae3t7mjdvbvoZSyQsXLiQMWPG4OfnJ87nTZ8+nYKCAoYPH861a9dISkoiLy9PTM/Ozc3lr7/+Iicnh8uXL9O2bVtWrFhBbm4uL7/8Mo6Ojpw5c0Z8zc2bN+Pq6oq7u3ulbfb09CQvL08cui2PIAgsX76c69evExwcTE5Ojmg+nJubi06nY8eOHeL8TnZ2NrGxsaxbtw4nJyegbDhs2LBhBAUF8f777xMTE1PlWsbY2Fjatm3Lnj176Nq1KzqdjqNHjxISEoJCoeDYsWN06dIFW1tb7O3txfNs3bqVDh064Ofnh7Ozs1iK7O9Go0aNmD17NmPHjkUul9O9e3cUCgV79+5l3759oqt6fVi/fj09evRAoVCQkZGBXq/niy++IDg4GKlUyvPPP8/jjz8OlP2/5s2bR8+ePXF3d2f69OkMHjzYZCh2zpw5rFixgqSkJL766qsarS9s164djo6OzJs3jwkTJmBlZcWlS5coKSkRszTvplOnTnzyySeiCEPZUOobb7yBl5cXTZo0ARCr+7i7uyOXy9m1axc///yzOBx/N56enly/fl18/MUXX3DgwAGOHTtW4zWkRuun8gJ2LzETBEGc7zeKmfG72LjN+LyVlVUFcc64qeG3k1eozxyfXAatImq/vKRG5zbHSe1tJDjaSsgrrvublkhAXu5/arxoKmPy5MmcOHECT09PWrRowdChQ8UMMdNzSpDL5QQEBLB161YmTJjApEmTiIuL4+mnn8bX15dWrVrRqlUrfH19mT9/PikpKTRq1Ihu3bqJFd1HjBhBXFycSW++fD1HnU5HUFAQH330kWj6unTpUry8vNBqtaKtTHp6OlqtlszMTG7dusWuXbsqXd5gY2ODk5MTUqmURYsWcfXqVfLy8tiyZYt4Q2o0Gg4cOICVlRWLFy/m008/ZeLEiQiCQHh4OLNnz8bLy8uk1JZWqyUqKooPPviAOXPmMHLkSORyOaGhoQwePJgdO3bg4uJCfn4+UqmUxx57TIy0Nm3aREZGhtjr379/P1OmTOHDDz/EYDDwxBNPsHjx4hr9r+Pj43n55ZcpKSnhyy+/ZNCgQSb/M1tbW06dOlVh3mzfvn2kpKSQlJTEtm3bEASBIUOGMG7cOCZNmkRoaChpaWm0bNmSfv36kZ6eTtu2bVm6dClqtbrStvj7+4udlpdeegmZTEa7du34/PPPMRgMLFq0iLi4OCQSCS1btuTf//43UDYnNGnSJPLz8/H09OTTTz8lODi4Ru//UWPKlCl4enoyd+5chg4dioODA61bt+bdd9+t13kFQeDWrVusWbOGN954A41Gg6enJ5988gmvvPIKCoWCy5cv8+yzz6LT6di9ezcjR44kIyODTp06oVar6dGjB5999pnJeaOioggJCcFgMDB16lS6d+9ebVtkMhk//vgjb775JsHBwWg0GkJDQ+8ZYUVFRfHhhx+aXKcdO3bk1q1bJsORDg4OLFmyhEGDBqHRaOjTpw99+/at8rzTpk1j/PjxvPXWW8yYMYMdO3Zw/fp1MXIVBIGxY8fy8ssvVxqdGX8bk9fKR2f29vZ4eXlV2F6ZmNUGH09rmgTYculacZ3PIZVK6Nu1Zut0a4vZKrdk5Rk4k6yvc6jrYi+hfTPLmqq7q/DXdh1gSUkJJSUl4tCk0ZHaiFQqFYskW1tbmxRJtra2rlVx5KoWqD8o9Ho9UVFRREdH07179wqL12Uy2T0rsjws7+PvjCAIpKWliQWg9Xo9oaGhNG/e3GTevS401IL3+4kgCKjV6hpFZSqVCplMVkG0ykdjd4vZ/eTIXwUs/PIGJZq6iUBEUzsWTKs64KkPZrsaPBpJsLMGVUntg12pBMJ8LWWgoKznKZPJsLGxqfR5o4mu8UvdOJxR3kTXxcUFHx8fky/4Ro0aYWVlVWNH68LCwhrVzSxfkqyh7HDqWpJMJpMhl8vx8PCgTZs2Js8Zi4SXF8OUlBROnz5NTk5OBTPXu2twWoqE1x29Xm9SE9PW1pawsDAGDBiAt7f3367DIQgCJSUlFUSrMjErKipCLpdXKma+vr4VorWH+Tps94QDPp5WpGSoqSYXqgLWVhJGD66Ybd5QmE34pBIJTzaVczihFI225uInlcATQVKclBbhg//1AMt/QZf/u6ioyMTFwWhKavy7ul5eVYJan/bWxhXB6CReEwGWy+U1Ki5dfrtKpSIjI4MrV65Uuq+vr2+lGYbGtaHGzzsnJ0c0IM7Ly8POzs5ECMtHiw9zkfAHhVar5erVqyQkJHDlyhXc3NwICwtj+PDhNS479zBh7DjdK/Gj/GMrK6sKomUsk3f39kclOq0OmVTC/00NZsKsq+Tk62osftZWEqaM8iO0sZ3Z2mZ2WyJtqcCJq3pU6ns7NMj+q3OtGstwd/xniZ7BYKCgoKDKWpJAher/xi/df0qR5Mpsh6qLUisrkF3Z8eVth2oSpSoUCnFOV6PRiF+AhYWFFPzXaboyKyljpP1P+H8B4vKVhIQEkpOT8fPzEwtAOzg4POjmVcBgMFBSUlKjIcbi4mKsra1rNMSoVCr/NmJWFwqL9Lz/cRIp6Ro0GkOVQZCNtQSQ8O7YAFo/Zt7r47748QmCQK5K4NpNA3cKhLKUTYGy34C1HJp4SfF1kSJ/hNzXa4NxrUtlUVt+fj5KpfKeTu2WCMI8GAW1NlFqdQJrnE81ZnYa/3cGgwG9Xi8KqY2NDXZ2diiVShwcHHB0dMTOzq5aEX6YjWbz8/PFmphZWVk0btxYdCd/EMW+DQYDxcXF1Q4xqlQqSkpKsLa2rjSbsbLff8esXXMhCAIXrhTzza7b/HVBhUwmQUBAggSDIODkIGdgtDvPtHfCzkxLGMpzX4RPrRO4flPg2s2yD6B88WqjBno0ktDMW4Kbw8N5Q1eHMVOzqqhNo9FUGBIrP1T2T+4R/h0p79x+d7KRcRF+fn4+hYWFFBUVUVxcjFqtRiqVolAokMvl4iJs47mMc6hAjZKMahrFGn/qIqiCIHD79m0xOSUvL4/Q0FDCwsJo3LixWeag9Hp9BTGr6rdarcbGxqZK8Sr/287OziJmZkJbKnDjTilpOXpUqlJu3taiUeuRK6Q42MvxcLfCxUFGoLsc5/swzWV24ctRCfyeWDbMWZ1bg0wKTTwhwk/yUPZo9Xo9eXl5VToAKBSKKqM2o7OBBQtVUZnDRPkOlFarFauIODo6ihGinZ0d1tbWFTKAaxOlarVaDAZDjZKMrKysxHnnW7duIQgCfn5+BAYG4u/vj7W1tcmxcrm82mtfr9ffU8TKR2sajUZcR1ndUKOdnd0/Zmj5YaWg2MBfSVr0NajoJZWAv5uMJp7VXzP1wazCl1skcPBSzdzXjcikEOQOTwQ+mItVrVZX+qWTm5tLYWEhDg4OVTqf310qC+C1117D19eX9957r9LXq86Lrjz29vacPXuWxo0bV7tvbc77MJOamkp4eDj5+fn/+N64RqMx6WiV73iV9xSs7NqsyTCjwWCoUhQ1Gg0ZGRmkp6eTlZUlLgVxdHRELpffU1T1er2YnVw+ihUEQRz+NQ4Bz5o1i2nTpuHn58fatWvFQhSXL19m9uzZ/Pnnnzg4OGBjY/NQLZ25m++++44JEyaQm5vLoUOHHrpamveLwhIDf17X1koDpBLwcZER6mO+jFWzja/p9AKHE2onelBW4ib5NrgoDfi7Nbz4CYJAYWFhpV8elbmXe3t7Ex4eXsG9PCgoqEYmubU1nbwXta3nWRVVmduWpz6O9J07d+bo0aPI5XJsbGzo1KkTy5Ytq7QYdnUEBAQ02Pt+1LG2tsbT0xNPT88Kz5V3kTdeyxcvXhQfS6XSal3kpVIpNjY2YqavVqvl2rVrJCQkiKa/TZs2JSoqCmtr60rnzQwGA2q1GrVazd69e0lLS2PixIkolUqxFKCfnx/z5s0T5ysHDRrEq6++SlRUFLt37xaF0+gdmZmZSVJSEhqNhm3btomCavTyq02Wb02WzoSGhnLz5k3kcjkymYzw8HCGDRvGK6+8UuPocerUqSxduvShc024n5TqBU4l1U70oGxkMCNHj6OtBG9n80iU2YQv9bZQZyNavQEupoOfq1CnHp1OpxOHJO+O3PLy8rCxsTG58Zs2bSo+rk0qekOb5P6dWLp0KaNHjyYnJ4eYmBgmT57Mpk2banUOizFszSkvbHePCBjXkZW/F27cuMHZs2fJycmhuLgYBwcHcV2YRqOhsLAQlUqFra2tWNjgzp07ZGVlVUj6MEaaAQEBJtuffvppevXqJTqPZ2VlYWVlRWpqKp06dRK3paWlMXLkyAo1NL/55hv8/PyIi4tj//79bNy4kQkTJpi8r9oUdygqKiIvL6/aod/8/HxefPFFwsPD0ev1JCcnM2PGDL7++mvGjh1bI1FNSUnB3d2d7Oxsk33+ScOumbl6DHUsYGIQ4PrNUryczJPIZZZvFUEQuJxVvwKlah3kFoFLJaXaKruRy4tccXFxhcXHjRs3Fv9uqAl3o0muUfiMJrkzZswQ9xk+fDh+fn5iqaMFCxawePFiJBJJhfJHw4cPR6lUkpyczMGDBwkPD2fDhg1iubbyw5fZ2dkMHz6cAwcOiB5h+/fvN4ni9u7dS8+ePblz5w5Dhgxh6dKlJCQk8Nprr6HT6cQ1Q3l59zZ73L9/P7GxsUyePJl58+Yhk8n44IMPROuje+Hi4sKAAQP4/PPPAfjpp5+YMWMG165do1GjRmJhafhfpY2VK1cya9YsgoKCWLt2rUn1jdWrVzN79mxu376Nm5ubWDbLginGL/rqUvM1Go24Jk2lUolDjgqFAltbW9RqNYIg4OTkhK+vL25ubiadRqVSWeUXU7t27dDpdJw+fZrWrVtz8OBBnnnmGa5fv26yrUmTJqLo1XSIPiMjg/Hjx3Pw4EHs7e2ZPHmyKIrx8fFcuHABa2trtm/fTlBQENu2bWPbtm18/PHHWFtbs2rVqipLl33xxRcMHjyYyMhIURR79erF888/z//7f/+PoKAg9u3bx7Jly0hPT8fOzo5u3boxaNAgioqKGDVqFHq9nmeeeQYHBwemTZtGeno63333HVlZWTg6OtKnTx9atWolDtd+//33HDt2DJ1Ox9NPPy2azVYXqRofP2zTAIIgkHqntM7BD4BWD/nFAk7KR0T4slWgraeNkt4AF1I1+NpkVDrfJpFITG5Af39/WrRogYuLCw4ODvelZ1WZSe7hw4dNhK88u3fvZuHChfz6668EBwczZsyYCvtUZdh6N2PHjkWpVJKVlUVycjI9evQwsUKCMm++EydOUFBQQOvWrenTpw/PPfccy5cvr3ao826ysrLIz88nPT2dX375hZiYGPr164ezs/M9j7tz5w7btm0T5ziUSiVr164lIiJCdG031tI0Ut4YtrwNTFFRUZVGsH93jEWGq8tiNP4WBKFCsodSqcTd3Z2goCBKS0vJzMwkJSXFJBOzSZMmJh3Du6cGcnNzuXLlSpVTA3evWXzyySc5ePCgKHKRkZH4+PiYbCtv11MTamIS++OPP7J9+3ZWr17NyJEj6dGjB6NHjyY9PZ3Vq1fz6quvkpSUVOVryOVy8TODMs9MPz8/0tPT6du3Lzk5OWzbts3kOh40aBBDhw5l6NChSCQSLly4QEhICDqdjubNmzN69GgmT57M/v37GTx4MCNHjiQwMJAZM2ZQXFzMd999h8FgYPr06Xz99dcMHz6cwsLCGiUoAQ2e5VufpTP5xQI6ffX73QuDAVLvlOKkbPhSa2YRvsIS6uW+biTjdhHXkw+JN1NERITJ2raHAWPUFxUVRVhY2D2th7Zs2cKIESPEKuzx8fFs3LjRZJ+qDGbLo9frRS8yOzs7wsPDefnll9m/f7/Jfu+8846YBfjMM89w+vRpnnvuDWRPCQAAIABJREFUuTq9T4VCwfvvv49cLic6Ohp7e3vR+LMyJkyYwNSpU1EqlXTu3FksWG004gVo0aIFL730EgcOHDARvvLGsHdTlRHso4jR3qmmYiaRSCrNYvT09KyQmm9lZVpk2OgnmZCQwPHjx9FqtYSFhdGtWzcCAwOrjBgkEomYQRoUFFTheWMymHHEJSsri0uXLonJYNbW1qxfv56QkBB2795Nr169sLGxYdOmTUyePJlDhw5Veo3fi5qYxEZGRop/Dxw4kG+//ZZ33nkHmUzGiy++yCuvvEJeXp7o4FETfHx8xI5WTa5jI0ePHkWlUjFt2jSkUinR0dH07t2bn3/+mZkzZ7JlyxbOnj0rjuwsWLCAIUOG1MhFwkj5Ivk1GfpVqVQ1KkEoCEKdls7ordww4E59LV9V6kfIj0+nr37pQk1wcHRm8Msv1/9EZiQuLo5OnTqRlJTEsGHD7rlvRkYGrVu3Fh/fHaFBzQxqb9++TWlpqUmprcrKbtXX7LY8rq6uJvNt1Z1vyZIllSbGHDt2jHfeeYfz58+L2YIDBw402acqk1KjEezChQsZNWoUTz/9NIsWLRK9zx4GjGJWU/sXqVRaqZgZK+bfLWa1Qa/Xk5KSwqVLl0hMTMTa2pqwsDBeeOEFfHx8GmTuxMbGpsoOiF6v58cff2TkyJHY2dmRm5tLQUEBWVlZ/Pbbb8THx3Pu3DmKior47bffxNGDwsLCKr3pABOT2PKvFRkZKT4unwBka2uLm5ubKO7GTrNKpaqV8KWnp4s+jzW5jo1kZGTg7+9vMgoVGBhIeno6t2/fpri42OR7wbhuszbIZDJsbW0bPCCobInMvSLP4uJitFotUqUEGzc3JPUceNM3hJBUglmETy4DiRSEepoQFqkK+OGHg3VKzb5fBAYGEhwczM6dO1m1atU99/X29q5giloXjD5eaWlpNGvWDDA1W62OB5kCbrQN2rVrFzY2NkyaNKmC8/S92leVEaw5MdZLrSwKq0zMjBXz7xYzHx8fs1fM1+l0JjUxnZ2dCQsLY9iwYSbZx/cDmUxGjx49UKlUnDx5kmeffZbBgwcDsG7dOqRSKV5eXnTs2JGcnBzR5HnLli3s3LlTXBC/a9cukpKSKC0t5fbt23h7e9fKJLYhOHHiBOnp6aLlUE2uYyM+Pj7cuHEDg8Egil9qairNmjXDzc0NW1tbLly4UCejanNTXZF8KEtCy8/PF2va3rp1i6KiQqxcDMik9Zt7lJlpxsoswqe0Lgtw66d7Ak72clzsfMnJyRFTs43ze1UVCH4QtStXrVpFbm4uSqVSNMmtjEGDBjFixAjRFHXWrFl1ej2ZTEb//v2Jj49n5cqVpKamsnbtWgICAmp0vNGdWqutmbltQ1JYWIiLiws2NjYcP36cDRs21MgfDeDmzZtVGsHWFmOCVE0WTBcVFaFQKCqt9uHn51dh+/2umF9SUkJiYiKJiYlcv34dX19fwsLC6NKlC46Ojve1LXdja2tLmzZtWLx4sYlfX8eOHVm2bBldu3alRYsWJseMGjWKgIAAzp49i7OzM05OTuTn56PVatm0aRO5ubmo1WoGDhzIwIEDcXd3F51InnnmmXtGi7WloKCAgwcPMnHiRGJjY0UD3Npcx08++SRKpZL58+fz5ptv8vvvv/Pjjz9y4sQJpFIpY8aMYfLkySxduhQPDw/S09M5f/68OFT7MFBSUlIhiTAnJ4fs7GyKi4tF9xTt/2fvvOOjKtP2/52STHqZVJJAKkkgQFDpEIJIWVxQdBf4gYiiIuKiLuq+KLAWQCP2gqKL4iIgirAKooCLKGUlVOmkkJAEAuk9k0w75/dH9px3kswkkzIQfL0+n/lMMuWcmTPnPPdz3891X5fBgFKpJDSiN8pOmF+7Ojtmku6QwBfoBcoORj6VAvpFuRPkfUujx6UBy/IHaErNtmUn05mMTku0ZJJriQkTJvDXv/6V0aNHo1QqWb58ORs2bGjXPleuXMn9999PcHAwcXFxTJ8+naNHj9r13tGjR5OQkEBwcDBKpdLmTNUR+OCDD3jqqaeYP38+ycnJTJ06tVVWqYSWjGChuWJ+SyVGSTHfmvqHpWK+9HhXa6uoqqqSZcLy8/NlTcxJkybh5uY4Vfv2IDk5mYMHDzYyaE1KSmLlypU2iS3Ozs5yiXLo0KHo9Xrc3Nx47LHHEASBKVOm8D//8z+yYW23bt344x//yOnTp/nPf/5DdXU1mzZtwtfXl8zMTEwmE+Xl5Xh7e9v1mSdNmiTLxvXu3Zsnn3ySRx55RH6+Leexs7Mz27Zt49FHHyUlJYXQ0FA+++wzuUS/YsUKli5dypAhQygpKSE0NJR58+Zd08AnCEIzEpPlGCsIAm5ubjg5Ocm9mnV1dfj6+hIZGSn3lwYFBeHh0UDF339e3yGCi0oJPfwdc905TLklLV8g7Ur71/pM+hqcy35iZFKSXFe3633/PcGtyT5JPXy2ssWWqNldHQsXLqSgoIC1a9de74/SqZBEhu0pMTZVzG9JaLgrBrPWUFJSIgtAl5eX07NnT5mJea0z966Mpq1OliIVtbW1eHl52VS4+S0fx6ZWW037m93c3PDx8cHFxQWlUonRaESn01FeXo5arSY4OJjAwECCg4MJCgpqtG5qDReLjOQUmdsdA5zUkBSvcciY7LDAV28U2XWy7cot0BDpewYZKco6yOHDh4mNjWXkyJFtCoDWYI2abXkiWKNmSxeEpWpLV0BaWhoGg4G+ffty5MgRbr/9dj7++GOrrLKuBkEQrKrjWysx1tXV4eLi0qrAsBTMutJv1FGIosiVK1fkzE6v18vu5C0xMX+HbUjGzbZkCTUajU2FGw8Pjy49MbZmrmw5vjU1V3ZxcZHXr6urqykqKqKqqgp/f/9GGZzEGm4rDCaRX9L17YoBSgVEB6vo4e+YZQOHanUWVIgcutC24KdUQJAPDIlpEKqur68nNTWVI0eOEBMTw8iRIx1mXNmUmm1Np9PaBaHVaq3qdDoSR44cYfr06Vy5coXAwEDmzp3LM888c90uTEvF/Na8zOrr63F1dbXKZrSWrf1fUruQmJhSsHN2dpY97EJDQ7v0wHujQxIJt1XuMxqNNnsWfXx8rslExGw2N5Oms7xJGqpNA7bZbJaDW2FhIUVFRTg7OzcLcH5+fp36PUqrzZzKNbYp61MqQOuhpF+447RYHe7OcKVc5EiWfcFPpYRgbxgYrUDZZGW0vr6eQ4cOcfjwYWJiYkhKSrqmLDXphLM1m1Kr1TbLJzeqM4M1xXxbwcxSMb81L7PfFfMbw2g0NtLElJiY8fHxBAQEXO+P9zv+C71eb3NiXFVVhYeHR4uemm3Zj61SbdMJuOV+fHx8qKuro7CwsNGtpqaGgIAAAgMDCQoKkkuW12otuLjKzJk8+4KfUgF+nkr6dHdqFgM6E9fEj69SJ5KWL3K1AkBEEC2/kIhKqcDNGeJCFHT3a5nOrtfrOXToEIcOHSI6OpqkpKTrPjhYevFZuyikEoO1dUVfX99rutZkMpnsbpg2GAy4ubnZ5WXm6ur6ezBrA+rq6sjIyCAtLY2LFy/SrVs3OdjZS8D4HV0HlpmYNfF7pVLZKEBJkz/J9d3S7kzKLK2NF1JmWV9f3yzAFRUV4ebm1iyL02q11/3arKkXuFhkoqSqIQNqGgSVCnBxUhARqCbYR+nwROGaBD4AXW4+WZ9sIadQwNw7Ebx8QF+P4nIe2ivn6XXPOPxuHYLCzh9Ir9dz+PBhUlNTiYqKYuTIkdc9ANqCwWBodBFYXhzW3Neb9iy2dhKYTCarJUZr62ZGo9Hm+ljThunfnd87FxITMz09ncuXLxMZGUl8fDyxsbFdjon5OzoGaS1R6m0rLi6muLhY1hKW3DAkWyZ3d3d8fHzw9/cnMDCwEbegurq6WZDT6XRyBmd5a6nf7nqj3iCSU2zkSpnQTNjL0wWig53Qejg+6ME1CHxmvYGTDz5D4dbdiIKAaDBafZ3Kww0nX28Gbv0Ir75xdm9fr9dz5MgRUlNTiYiIYOTIkQQGBnbWx3c4BEGgqqrKao+MRCN2d3eX/ceUSiWiKGIymairq0On02EymVpcL7MMai4uLr8Hs2uIkpISeb2utLRUZmLGxMT8phmEv3VYtlVZq/LU1tbi7e1ttezZlD0qsS0LCwu5dOkShYWFVFRUyNe2QqHAxcUFLy8v/P39CQ0NJSwsDK1W2yY3mesFQRA5d9lIcZWAKNpWs1QpQa2ExAhnPF0dm6E6NPCZ6+o5eNu9VJ/JQKirt+s9Knc3Bn3/CdphN7dpXwaDgSNHjnDw4EHCw8MZOXKkVd+y6wlJI8+eUqPZbJazLsnORJIy0uv16HQ66uvrZWPcpmSb3zo1u6tCFEWuXr0qtx3U19fLJcyIiIjfmZg3EKRJqS2yC2BzXb8lIQ1BECgpKWlUoiwoKECv1zfL4Pz9/TEYDFaDa1lZGYIg2FxX7ApMdLMgcjzbQE29/TZ1KiX0j3DGx91xwc9hgU8URY5MmkPp3sMI9fo2vVft6cGIQ1tw7xnR5v0aDAaOHj3KL7/8Qo8ePUhOTnZYAJQU8y2DVmZmJpMnT+abb75pJnMliqJdJUZ3d3c0Guv9KwkJCbz//vuMGjXKbmq2tbWCrk7Nbi8iIiL4+OOPGTNmzDXbpyAIjZiYarWa+Ph4evXq9TsT8xrDHpNlS0hBxdo11HQZounk0p7qSW1tbbMyZUlJCV5eXjLJRApyPj4+bT5XLLPOpt+hpqZGnhhbC46OZqKLosjJXCPlNUKbe/lUShgU44ybxjHBz2GsitKfUyk7cLTNQQ/AVKvj/DOvMmDLB62/uAmcnZ0ZNmwYAwYM4OjRo6xfv56wsDCSk5MbiTY3hTRg3nbbbVYV822xGRUKRaOgJQk3BwYG4u3t3aJifntw9uxZ+W+1Wo2/v79Vdqs1anZWVpZ8cVijZlsuvkszxX/+8588+OCDMistMDCQv/3tb8ybN69D30Py+Lt8+XKHtnO9YDQayc7OltfsfHx8iI+P55577iEgIOD3YNdBjBo1ipkzZ1oVOm8LJOKZraxNr9fL539KSgoTJ05k9uzZ8nVgL/HMbDY3yuKkm8lkIigoiMDAQHr06MHAgQMJCAjotGqMJEzd1MRX+kxNJ8aXLl2Sj4GTk5PNbLEzmOgVtQIVtW0PetBgS5d51URihGOqVg4LfFmvf4K5tp1u5IJA8a796ItK0QS2r2dPCoADBw6UA2BgYCAJCQm4uLhYLTFu2bKF1NRUVCqV1X6ybt26WbV/sYQktDtw4MBOZWu21Y1coVDg6emJp6enVReIptTsoqIi0tPTm1Gzf/31VxISEti4cSO+vr7k5uYybtw4hgwZInvsXQ9cD3f2+vp6mYmZnZ1Nt27diIuLIzk5uU0q/7+jc2E5wGdnZ1NeXi5reloO8FLlIzIykptvvrnZAP/RRx8RFRVFz549be5LmlBalikLCwspLS3Fx8dHzt4GDRpEUFAQXl5e120SpFKp8PPzs9r3bG1CcPHiRY4dO9ZsQmCtZ9Geay+3xNwhM/KyGgG9UUTjdIMY0dbnF1K291DHNqJQkLf6S3ouftTq05aK+a2xGSXF/MLCQvLy8nB1daV79+4EBQURGhqKu7s7rq6ujBs3jokTJ7JhwwY+/vhjhgwZwieffIKPjw8ffPCB7MF18eJFJk+ezK+//srgwYOJi4ujsrLSqn/WlStXeOSRRzhw4ABarZaFCxfKBrRN3dmbZkERERHMmzePDRs2kJ6eTm1tLTExMXIpT6/Xs3DhQjZt2gQ0iGCvWLECjUZjteRj6W79448/8vTTT3Pp0iW8vLxYsGABTz/9NNBQupN6FrOzsxEEgbNnz8pB0sfHh/fff58//OEP8kz55MmTGAwGEhMTWbVqFQkJCQB8//33zfYzb948JkyYgF6vl3X9MjIyCA4O5tVXX2X16tVUVFRw22238eGHH6LVaq26s+/bt49169axZMkSampqmvm6HT58mEcffZSMjAxcXV255557ZF9Ae1FdXS2XMC9fvkxERATx8fFMnDjxdybmNYB0Hu/evVsepPv06cOHH36Iq6srly5dYt26deTk5BAaGsrAgQNRqVSyKXVRURFPPfUUx44dIyAggGXLljF69Gi79i25QRQWFvLYY49x+vRpWRf0oYcekh3UFy5cSFFRERqNhoceeoht27ZRVFQEwMyZMxkwYAB//etfHXmY2gypUuXh4WFV3L7pumJJSQmZmZlWS8DWehYNJiiv6ahNAeSXmYgK6nz1FocEvpI9B1E4qUFvaPc2hHo9Fzd8Q8nom2zKWzk7O1tdL5MU8y0fl8SpjUYjx48f5z//+Q9ms5nk5GRCQkJQqVR4enrKrzt06BD33XcfJSUl/OMf/+DBBx8kPz8fhULBjBkzGD58OLt37+bw4cPcfvvt3HHHHVa/x/Tp00lISJClp8aOHUtUVBS33XabXcdh48aNfPfdd/j7+zebZb300kukpqZy4sQJFAoFd955J8uXL2fZsmWtbvfBBx9k06ZNJCUlybM9CUqlUj6JIyMj8fHxYerUqUBDMFmxYgWzZs3C19eXsrIy4uPjufvuu6mpqeGbb75h/PjxrFixAl9fX2bNmsU777zD2LFjAbh8+TLu7u7s2LGjWanz7bff5ptvvmHv3r0EBATw+OOP85e//KWRWa+lO/u5c+eYN28e33//PYMHD+bZZ59ttL0nnniCJ554gnvvvZeamhrOnDlj1zEvLS2Vg11JSQk9e/bklltuYdq0ab8ThhwEURQbsZvLy8s5duwY9fX15Ofn89Zbb8kDLDSU3Pv168ff/vY3+vbty7Fjx7h48SLjx48nMjKS3r17U1tby8CBA1m6dCk7duzg1KlTjBs3joSEBHliJu27urqauro6MjMz2bJlC4WFhZSXl6PVagkKCmLEiBG89957hIWFsWzZMjZt2sSiRYsA8Pb25syZM9xyyy3s378fDw8Pzp8/T69evdi3bx9PPfXUdTmmHYGlqktTSBNjy4rR+fPnG5F+esTeQmDUUBSq9ocYUYSiSoEoB1A0HGNEW1aBYLBtz2Mv9GUVmCsq8PDwQKvVNiOAtKfU5eTkxODBg7nllls4fvw4X3zxBcHBwc2MH8PDw+XM7L777uPRRx+lsLBQZo/++OOPODs7M2LECJtB79KlSxw4cIDt27fj4uJC//79eeihh1i3bp3dge/xxx+3acy6YcMG3nvvPbl94/nnn2fu3Ll2BT4nJyfOnTtHYmKiHORsITU1FR8fH7n5ff78+SQlJcklnOTkZPm1s2fPJjAwkLi4OEwmE0qlkj179nDlyhVZ3eXkyZPk5+ej1+s5deqUPFv86KOPWLlyJWFhYUCDE3uPHj1Yt26dvH1Ld/bNmzczceJEWeF/2bJlrFy5stF3vHDhAiUlJfj7+9t0i5eYmFKwq6urk0uYkZGR150Z91uB0WhssZ/VxcVFPhcUCoVcKkxPT28kxzdt2jT69u1LREQE3377LadPn8bd3Z0+ffpw3333sW/fPgC2b99OREQEs2fPBuDmm2/mrrvuYs2aNdxzzz2NSpVKpZKqqioMBgMxMTEMHz680WTz7rvvlr/Hiy++iK+vL5WVlXh7e5OcnMzevXtlP70///nP7N27FxcXF6qqqkhMTLyWh9nhsJwYN4XU5pF1tY4iXceJKSbzDWREi0KBQmG7X8NeSPV0URQRBKHZvYeHR7tthtRqNYMGDeLmm2/m119/pba2lh9//FG2CmnqXg4Njs0lJSVy/4yE7t27WzWCvXLlClqtFk9PT/mx8PBwu+2DpG3bwpUrVxqt34WHh3PlyhW7trtlyxaWL1/OM888Q79+/XjllVcYOnSo1dcOGTJELpkWFhYyffp0Fi1aREpKCmazmcWLF/PVV19RXFwsU7h9fX2Jjo7mu+++Y/ny5bz88sv069ePJUuW0LNnT/79738DDSVOS/LNxIkTUSobmlgVCgVKpZK0tDSZXGN5PCRnawnu7u6N1jM++eQTnnvuOeLj44mMjOT5559n4sSJQMOsNS8vT3YnV6lUsq1PWFjY7+SUdkASSbbFkmxqGabVaomKipL/t7yW3377bcLCwmRrIGu/R3FxMSaTqdE5IF0PoiiSlpbGoUOH8PT0lMcNs9nM4MGDSUpKIjAwkNjYWNlKZ/v27SQkJDQLVLbO8ZKSEjnwbdu2jbCwMEaOHMmoUaNYt24dLi4uJCUlXXfVFEegqWuKVIWTsnaFWwh+4beg7KiTrIMuQ4cEPmd/3w6XOgE0/lqievWSD25+fn6zkqfkdm1Pi4C1MpVarWbgwIF4eXkRFhbGV199xfnz59HrrbNRu3XrJvv+ScHPlvt5SEhII309aHBelmaG7u7u6HQ6+fUFBQXNttHSABwSEkJubq5ctsnLy5PZXa1te+DAgWzduhWj0cjKlSuZOnWqXS7uQUFB/OlPf2LVqlWkpKTw+eefs3XrVnbv3k1ERASVlZX4+vrKZqBN9/PAAw9w6dIlYmNj0Wg0/PnPf5a3/fHHH/Paa68RExPTSPZp9+7d8mfbsGED/v7+stRbZmYmer0ejUaDTqejtLRU3l7Pnj3ZuHEjgiDwr3/9iz//+c8cPHiQvLw8MjIy8PLyIj4+nhkzZvzOxLQTluu/1liSltJcvr6+9OjRg/79+8tEkrYGgZbO44CAANRqNVlZWWi1WgoLC9mzZw+FhYWsWLGCzMxM4uLiePPNN2UrnfaIMLd2jicnJ/O3v/1NZo+PGDGCRx55BBcXl0bVkK4OW64p1hSg6urqcHJywsmpQUhaEASMRiNmsxk3Nze6Rfqj6HDqA06qG8iINmDcCERjB0udGicK4kM5vXMnUVFRREVFMWjQoEbZkyiK6PV6q+SWq1evNnu8aeuB5b1E7x87dizvvvsupaWlrF+/nuTk5GYzygEDBvDCCy+wfPlyjh07xrfffsukSZOafYXu3bszbNgwnn32WV5//XUyMjL45JNPZBJM//79eeONN1iyZAkGg4G33367TYdo+vTpLF++nIEDB6JQKFi6dCkzZ84EIDExkbNnz3LixAni4+N54YUX5PcZDAa++uorJk6ciLe3N15eXnYPBqWlpXz99ddysK2urkaj0eDn54dOp5PXPVrbT1BQEKWlpXK5CGDevHm89dZbrF27loSEBIqLi/nll1+YNWsWWVlZvPnmmwwZMkSeVYaHh/Pxxx/z2GOPERkZyc8//4zZbObXX3/F39+fn3/+mfHjx2M0Gjl58iRms5mjR4/St2/f35mYLaAtYsxarZaQkJB2iTHbA8vzOC4ujmeffRZoWIM/fvw4ffv2ZebMmTz88MMA/PTTT/To0YPHH38cs9lMnz59KCgokIlpx48fx8PDg169elndn8lkor7+f8U2VCpVi+c4NEywXF1dWb9+Pc888wxeXl4EBQWxZcsWHn3UOjnvWkESmrfHAszSNUWj0aBSqVAoFJjNZtmbr7a2Vvbm8/Pza0ZwkViyRpPIgTR9u734oEG/M9jnBurjc/bXEvjHWyn45t8gtI/Zo1QomfHJ29SIZrKzs8nIyGDXrl14enoSFRVFdHQ04eHhuLi44OLi0qpTg7Vmc+m+oKAAg8HAsWPHKC4u5vz585jNZq5cucLatWvlRs/U1FTKysp44YUXeO6559BqtQwcOJCpU6ci2PieGzdu5JFHHpEHhxdffFEmetx7773yLFJai3jjjTfsPkZLliyhqqqKfv36ATBlyhSWLFkCQGxsLM899xxjxozB1dWVlJQUPvroI/m969atY/78+ZjNZuLi4qwyUiUcPHhQZl+6ublx22238c477wAwa9Ysdu3aRWhoKFqtlmXLlrFq1apW9xMfH8/06dOJiorCbDZz7tw5nnjiCURRZNy4cbLd0rRp07jzzjvlgBkTEyOvu4wfP57AwED+/ve/U1NTw4MPPsjp06cxmUwcPXqUtWvXsnjxYkwmE76+vvzlL3+he/fuKBQKioqKMJlMberV+q2grfY7gYGBxMfHN+vxdCQEQZDX/qZOnUpSUhIqlYo//vGPQMOAnpiYyIYNG3j66adZtGgR8fHxzJ07l59++kmuxvzwww88+eSTPPnkkwiCQGJiYovM3nnz5jXqUb3nnnv48MMPWzzHoSHrS01NlRmSycnJpKWlOaTlx9I1pTULMMm5vmlFTBo3fX19ZTf16upqKioqKC0ttekA4evra5ceqJNagb+nkqKqjjE7Q7Q3mAN7eeoJDo2/H7OuHb18KhUhUyZw07rGQUAQBK5evUpWVhbZ2dlcuXKF0NBQORAGBwd3Wj1dCpJVVVWcPXuWs2fPotFoCAwMRKlUNjrxNm7cSEhICFOmTGnRW87Dw8OmIsvv6BgkZllaWhrFxcWNNDEVCoVD1Tm6Im4UVR9BEGSdyoKCAplssmLFCu666y7Gjx8vlykDAwM7PaPsKmiva4otfV4p8Ot0ukYMTOl8kCaDLTlAdBSVOoHj2YZ2Z32B3kr69nAMi9qhkmUnZy/k6te7EHT26XRKcPb3JenoVlxCW+ax6vV6cnNz5UBYW1tLZGQk0dHRREVFdWopy2w2c+rUKfbv309paSmjR48mKSmJH374gcmTJ7Nr1y6ioqJaPWklJXZ7rH5u1EH3WkAURQoKCmQmZm1trexOHhERYXcW5yg9xmuBuro6m75tTUWSu4KOqzWvuOLiYtzd3RvpU5aXlzNmzBjS0tKsii/cKDAajXYHM1uuKbYswBQKBSaTyeaErqKiQs7orP3+7u7u12RsOXfJQGFl29VbnFQwqKcGFwc0r4ODRaoFk4mjdz/aoNdpR+anUClRe3ow9KcNePaJbfP+qqqq5CCYnZ2Ni4uLHAQjIyM7RZvObDazcuVKXnjhBXQ6HSEhIfz973/ngQcesOv91i4GW2UKyXUI42DOAAAgAElEQVTBHqfy/wsWQhITUwp2SqVSFoAOCwvr9CDUmQr87YGlc4e1rE0URZuzdm9v7+sWlAVBoLS0tFmQq6+vb2alExgY2Kh0tnDhQtavX8/ChQt5/PHHr8vnbwlGo9HqtWvtGm7NNaW1Sa7l+WdtYqbT6fD29rbp89kVek4FUeRUG/U61Uq4JdoZD5cbUKRagmg2c37RG+R+sB6FUmm99KlSoXR2wqNXNLdseg+38NCO7/e/GYEUCC9fvkxwcLBcFg0NDe3QwCAIAqdPn2bfvn14eHgwatQoIiIiOjX4WJY/WqvlGwwGm0Gy6azxRrAykWAymcjOzub8+fNkZGTg6ekpC0AHBgZe1+9h6bnWdFCqqKhAo9HYzBalGXdrXo1ubm42t9EVJjs6nc5qFicRPAIDA+VSZXtEmK8FbK39W7vWJNcUe7Izeyo21prBLc8D6LoVB3shiiIXCkxcLm3olbYWABWAQgHuGgV9w51wdb6BbYksYaysJuPjr8l56xPE4iJEtRMKQQCFAu/JE+n3zH1494t33P6NRnJzc8nOziYrK4uqqioiIiLkQCg1zbYVUgDcv38/7u7uctPztb7ApSBpT2ml6YJ3Sz5+klP0tUR9fT2ZmZmkpaWRlZVFUFCQnNm11GjflSCpgZSVlVFQUEBBQYHMYtXpdAiCgEKhQBRFNBqNTCYICgqiW7dujVo2ugKaijBLVjpGo7GZlU5gYOB1zTZaIrJZYzN2hmtKS2jJVqiqqgp3d3erWZtWq/1NrWmazCIXrv43ACoalFlQNAQ9N2clfXqo8HK7NmIR1yTw5RWL/HxKoLC8IdqL+npUtdUIzhoEVw+cnZUNNhRxCgbHKVApHR80ampq5CCYnZ2NWq2Wg2BkZGSbTzhBEDhz5gz79u3Dzc2N5ORkoqKiuuQMtynFuaVsUqI42xoYLAeIjgTJmpoa0tPTSUtLIy8vj/DwcOLj44mLi5OVWroqzGZzi71tarW62axdIpBYDopS5lddXS2rFVmb6TvaZdtShFm6lZaW4u3t3cxKx9vb+5qc41Lrkr0VEGutS7ZKjR11TZFYsrayNmuCz5ZOKF1lcuNI5BQK7D5m5kqZ+F+iv4haBWYRzGZwVitQq2BobyUj+qgcHgMcHvh+zRLYfULEZG79tWoVBPvCtCQlzg5a1LQGURQpLi6Wg2BeXh4BAQFyIAwLC7Ob5SQJOu/bt09uYI2Oju6SAdAeSE2t9sye6+vrcXFxsWv27ObmRlVVlczELCoqIiYmhvj4eHr27Olwr7C2or6+3ubAJgkU2Frra2ugkgKprSxBrVbbXNtrixuAyWSSszhLRqXZbJYDnFSmDAgIaLdKki1IQvP2EkBsuaZYKzV2dsYpOUBYW2tt6gDRNMD9Vr0v7cXRDDPfHzbbHQNC/BTcO0btEFcGCQ4NfGdyBXYctS/oSVApoZsWZoxSXpPMzxpMJhOXLl2SA2FpaSnh4eEyUcbf39+u2v25c+fYt28fzs7OJCcny9T63yokGaOWBq+Kigqqq6sxGo0AuLi44O3tjb+/v9XSknTv6N4xy9KktazNZDI1G9Skge1aOl1LsmC2Pmd9fX0jWTApq9BoNNTX11NaWiqXKcvLy+XyquWtI15sbXVNUavVzSZJ1dXVTJ8+ndOnT+Pj4yM/by3wSq4dRqOxw5lT7969Wbp0Kb169Wp2fGtqavDy8rLZ29bVJmpdBaeyzWz9xYyxjTEg1F/B7PFqh8UAhwW+Kp3IRzuENgU9CWoVDI1XMCKhayzc6nQ6mSmalZUFIKvJREVFtViKE0WRc+fOsXfvXpycnEhMTCQlJYUffvgBf39/UlJSmDFjhvz6zz//nGeffZaSkhLGjh3LmjVrZEV6qYlcQl1dHY8++ijvvfdes/0aDAaeffZZvvzySyoqKggICGDy5Mm89dZbnXFIrMKaFZIgCFy6dElmYgJyCVNSwmiN3arT6dBoNC2WrewRL5dEklujf1vLpK4V/bujkM7VS5cuycFNWseCBok+Ly8v/Pz8CA4OltcSpfUka99RYhfaw0SWXFNeffVVqqurUSqVuLq6MmTIEBYtWkRgYKBV1xRLtCWYteW1giAwc+ZMNm/ejFqtRhRFRFFk1qxZREdHIwhCiyzZ38XK24bKWpF3vja2OwaM6KNkdH/HlIEdVlw+linQ3pBqMsORTJFhvUSU1ynrs4Sbmxt9+vShT58+iKJIaWkp2dnZnDlzhu+++w5fX1+5LNqjR49GF6BCoSAhIYHevXtz/vx57rvvPgD2799PbW0tEydOJDExkYSEBM6ePcvcuXP57rvvuPnmm3n44Yd59NFH+eKLL4CGtRcJtbW1BAUFMWXKFKufOSUlhaNHj3L48GG6detGbm6urFrvaJhMJi5evCgzMT08PIiPj2fatGnN7JUsJehsQcpyrA2yZWVlzR5Tq9U4Ozs3klzS6/Vyr5Q0qAUEBBAZGSkPdF2B/m0vJBufpmtxFRUV+Pn5ERQURGxsrFyqdHd3b5TVlpWVUVxczMmTJ+VyrSAIuLi4oFarZf1Fg8GAXq/H2dkZT0/PZhMNW64pq1at4ssvv2TMmDEUFBQwfvx4du7cyUsvveTQ42I0Gq1mwtLkJjMzk/Hjx/Pggw82y9xuJLbzjYDD6eYOxYDU8wLJ/USHZH0OCXxms8iv2XTIfVcQ4MJViO14Z0OnQqFQ4O/vj7+/P4MGDcJsNnP58mWys7P56aefKCoqonv37nIglCj3CoWC8PBwTp48ydatWzl8+DBKpZJRo0bx2WefsWLFCjZs2MCkSZMa2ez06tWrkci1hM2bNxMYGEhSUpLVz3nkyBHuuusuWbRakkWTEBERwdy5c1m3bh1Xr15l8uTJrFq1Sl6P2r59O0uWLCEnJ4fevXvz4YcfytJoly5d4oknnmD//v0IgsD06dOZM2cOc+fOlYOLSqVi9+7dbNy4ER8fH7Zt28bevXvZunUrSUlJLF68mE2bNqHX67nrrrt46623bBKKFAqFnCH4+/s3Wv+SSA8Sk8/JyQkfHx+5N0rSHBRFUdYbrKmpIScnh7NnzzYqtbWWTXb2Gpe9MBgM8vqb5c3JyUkuT8bGxjJ8+HDc3Nyoq6uTJwKFhYVkZWVZFRnWaDR4eHjg5eVFSEiIzFgURVHWrJQU9yUqv0qlksvTlmW/lkp9wcHBjB8/nhMnTsiPfffddyxZsoSsrCy8vb158MEHG+nJWmLUqFEMHTqUH3/8kfT0dJKSkkhJSZGrKQCPPPIIW7ZswWAwMHr0aKZPny5PcCTWtq+vLxcuXCAsLIzJkyc3209ERIRs8iwIQqumyP/85z/5+9//jk6nY8GCBSxevBhosM46d+4cLi4ufP311/To0YO1a9cyYMAAoMFV5LHHHpNboRYsWCD3LHaGeXJXgFkQOZImdDgGpF8S6R1+gwS+7ELaHeklGExwNFMgNrRrlxdUKhXh4eGEh4dz6623UldXR05ODllZWRw9ehSDwSCvDVZXV6NSqZgwYYJsm7Jr1y527NjB7NmzOXv2LMOGDZO3HR0djbOzMxkZGdxyyy2N9rt27VpmzZplc4Y6ZMgQ3nzzTZydnUlKSqJPnz7NXrthwwZ27dqFu7s7kyZNYvny5Sxfvpzjx4/zwAMP8O233zJgwADWr1/PHXfcQXp6Omq1mokTJzJ69GhWrVpFVlYWO3fu5Pvvv+f+++/n0KFDHDhwQC7L/uMf/+Dzzz/n+++/Z/v27RgMBhYuXEh2djYnTpzAycmJGTNmsHTpUlJSUoDm9G9LxqMl/VsazHr37t2ot81eNCVXWGaObXUCscYUbCtEUaSioqJRcCsoKKCqqgofHx+8vb1xdXXF39+fgIAADAYDtbW1XLhwgZMnT1JXV2eTXBQYGNiMgduW0p2lBJr0m+Tl5cm/kbOzc6PfRArWkv7jjh07Gjmfu7u789lnn5GQkMCZM2cYO3Ys/fv3Z/LkybI3ZlZWFtXV1ZSXl/PRRx/xl7/8hT/+8Y9s3ryZOXPm8PTTT8uvramp4fz581y9epUhQ4bw6quv2hSitgfvvvtuq6bIBw4cID09nYyMDAYNGsTdd98t73Pbtm3861//4tNPP2XJkiXMnz+f1NRUBEFg0qRJ3HnnnWzcuJHLly8zZswY4uLiGD9+fLvNk7sasq6IHfZmMJgg9byZ3uGdv+TlkMBXpRPbq03dCJW1Hd/GtYarqyu9evWSL4Dy8gafufT0dPbs2YOzszO7du0iOjqamJgYxo8fz6VLl9i7dy/p6en0798fURTlIOXt7U11dXWjfeTl5bF3714++eQTm5/j2WefxdfXlw0bNrBgwQL8/PxISUmRS60A8+fPl50nFi9ezGOPPcby5ctZvXo1c+fOZfDgwUCDEe/LL79Mamoq9fX15OXlkZCQwKeffkpMTAxTp04lJiaGL774grNnzzZbi7zzzjsZPnw4ABqNhtWrV/PLL7/IFPDx48ezbNky2Y6oKf1bMrbtbPq3QqHA1dVVDiYtoTUnkKbBsyUnEDc3NwRBoKKigoqKCkpKSqisrJTXxCSrF5PJhMlkwtXVVQ5SKpWq2XqnZYBzVM+lWq2WKx3Wjo30W1qSgSQ1I71eT2xsLH379mXnzp1otVpZ8/bs2bNUV1czZMgQPvzwQ/Ly8sjNzQXgl19+wc/PD6VSyd133828efPQarVMmTKF/v37c9ddd8l2Va+//jrBwcEEBweTmJjIyZMnbQa+119/XTYsVqvVlJSUNHuNPabIzz//PK6uriQmJjbb54gRI7j99tuBBjF6yXnlyJEjFBcX89xzzwENXIE5c+bwxRdfMH78eLvNk7s6KmvFDmV7lttxBBwS+Exm6935bUV5RRUvvvhuxzfUhaDT6UhNTSU1NRVouLgrKytln7FffvmFpUuXyq8vKSlh48aN7N27V35s7969dO/enc8++6zV/Y0bN45bb72VX3/9ldmzZ3PkyBECAgKoqKhg//79FBYWAlBUVEReXh4vvvgiu3fvJicnh9dee03ejtls5r333pODRX5+PoAs4A3w66+/ytuQcOLECby8vOTHJLKKFFQlCILA5cuX5f+Li4spLi6244h2XViqb9gLQRAwmRpbekllyqKios78eA6FwWBg6tSpREdHk5OTw5YtWzh16pR83ly+fJndu3dTVFSE2WzGZDKRkJBAeXm5nMVdvHiRvLw8ysvLuXr1KqtXr5a3bTQaeeaZZ2R28D/+8Q95clBUVMTnn39Oenp6s8914sQJBg0axG233SY/Jp2bFRUVfPbZZ/znP//hwoUL3H777Y2qJKIosnDhQvnz2drnzz//TFlZmbxdiW373HPPcf78eS5fvtyoxUUURXr06MGLL75I//79+de//sVrr72Gr68vycnJxMXFdcIvcm0heA1E9B0Fio6FmLawQdsChwQ+jRMolSB08EN7e7oy/p575BPdYDA0ukmPtfScyWSSyQ7SzcnJyer/TR9v6bXtaXqtra1lzZo1zJgxg549e6LX65k2bRqJiYn4+fkREhJCfX09gwYNIjc3l+LiYgRB4LXXXsPLy0vejmQ5ZK8+qAR/f39uvfVW/vSnP/Hpp5+SlJTEI488AsCOHTvYuXMnzz//PPn5+Xh7ezNmzBjS09MRBEGWCbt8+TJ79+5l8eLFjYgE0kz/3LlzeHt7y/RvT09PunXrxpgxY2Tq//vvv09mZqZsyNtVYU0xvyXJODc3N5ydnVEqlTIxRGKk+vn5ERgYSGhoKN27d5czGWgumdUS/V8QBLv1Hx3tBGJLsq28vByFQoGLiwthYWH069cPo9HI6dOnWbt2LVqtlsTERB5//HHmzp2LXq/nySefpKCggGHDhskBS7reNBoNTk5ODB8+HK1WS2lpKa+99hovv/wy+fn5vPPOOzz33HNyJeCnn37ijjvu4KGHHmr2mS9evEhYWBjPP/98s+c+/fRTZs2axZgxY/j8889Zs2aNXKmwRE5OTov7FEWRCxcuyPuwfP2RI0c4ceIEmZmZLR5byTx55syZlJaWXhcRB4nNa08fb9PWFINGy1UjdDTp0zhoWd0hgS/IR9Fh912FAsKDnYiJienQdiRSg7WgaO3/2tpa2ZOspaBqNBpRqVR2B0np71tvvZUnnniClJQULly4wJ49e9ixYwf9+vWjX79+3H777Rw9ehSAb775hoSEBNasWcOoUaPo168fqamp5Ofn22RzSnj77bfp378/gwcPxsnJiQ0bNlBdXd3IH+z9999n4sSJuLm58dJLLzF27Fi+/fZbXF1d+fjjj4mIiOAPf/gDBoOBH3/8USaHaDQaRo8ezW233Yafnx9lZWUMHTqUqKgodDod06dPJyAgAKVSyfHjxwkLC2s0gMyZM4cFCxawcuVKAgMDyc/P58yZM4wfP75Dv7U96AzFfGm9Ta/XU11dTVVVFcXFxXIPnWXjd1MRZmuQ1sektpWWIJ2jTT9vSUkJubm5LTqB2JLhakkkub6+vtFaa0si3b6+vkRERODr68urr77K1KlTGTNmDNBQ+ouIiKCsrIwePXpQXV2NVqvFzc1NZkePGzeOsWPH0rNnTx577DEWLlyI0Wjkm2++4eDBg9x9992UlZXx2muv0adPH1asWCFnXzt27JBbMyQn8I7gkUceYfHixaxdu5bw8HDZFPnOO+/s0HYHDRqEl5cXK1as4PHHH8fZ2Znz589TV1fHwIEDWb9+PePHjycgIEB2l+nMNor2tKZYO4fCwsKaEcIsyV9XSgU+2WHqUPKjUECY/w1kRNtNq8DTDcqqW3+tLaiUMDC2419aoVDIwaczITHfWgqolo/V1dVRWVnJzJkzeffddxk0aBAeHh5MmTKF48ePk5qaitFo5A9/+ANvvPEGOp2O2NhYpkyZgk6nY+vWrWzbto0dO3Zw0003ceDAATQajc2Aq9freeKJJ8jJyUGhUNCzZ0+2bNlCVFSU/B2mTp1KcnIyBQUFxMXFER0dTXFxMTfddBNGo5GUlBSefvppNBoNCQkJLFmyhN69e7N582aWL1/Ou+++i0KhYMaMGYwdO5bk5GR27dpFr169UCqVVtdOAFasWMHSpUsZMmQIJSUlhIaGMm/evHYHPkkx3x51GVvBQKvV0qNHj2bBoKmVTnZ2NiUlJXh4eMiMyp49exIUFNRuvde2QPqN7dEstRXkS0tLycvLk49JTU2DE0jTFhCDwQA09I9KDMnAwED69OmDn59fm0SSAwICmDVrFsuWLWPLli188MEHPPXUU8yfP5/k5GSmTp1KRUVFo/coFArc3NzQaDQ88MADrFy5krS0NJKTk/n000/x9vbm1KlTvPDCC/j6+lJRUcHFixcpKipi586d1NTUNOvLq62txWAwNFpHt4aWTJE7ApVKxbfffstTTz1FZGQker2euLg4li9fDsDOnTt58skn0el0hIeH88UXX7Q6cRIEoVkws3Wv0+lwdna2ymK21ZrSHoT4KfH2gJLKdr0daHBpGOagXm6HNbCfuijww68iRlPrr7WGAG94aHzXZnQ6AlJAbRpEdTodZ86cITMzUx6QtFotXl5ecvtAa0FYoVCgVCoRRZE33niDSZMmER0dLVPUXV1dZfFqqUzp6uraalYrDZadifYo5rfWjtBS+c9sNlu10jEYDFatdG4kpQ6JJWutt00y4pVaQKTfW8oyrGWYLTmBNM0qO6M3btSoUcycOdNq6dIWmirxWDKDpXXEpio810OJxxZaU0Gy1Zpij2vEtfpuv14w890hM4Z2xoBAH5h/p2N6ax3WwN6ru4K9p0VMJtpc9FSrYFS/rqHacq2hUChwcnLCyclJdlGWEBsbiyiKZGdns2fPHqqqqnB1dSUrKwu1Wi3LTanVapkGLjEFPTw8MJlM6PV6/P395TaH2267rVnmKgXOqqoqSkpKGgVRawEVsKvUK/XTiaKI2WzGbDY32l59fT11dXXodDpZMb9pac5S+aO9ivm1tbXNAlxJSQne3t5yYBswYMA1FWHuCERRlEv01qTM9Hq9nPH4+Pjg7+9Pz5495cG+rbN6W04glZWVXLlypdEEpakTSEv3nekEolAo8PLywsvLq1H/qgRJe1U6XgUFBZw/f75V7VWtVtvuSY+ke2vPWq4jW1OuFfpEKNn9qxljO2KAkwrG3uI48W6HanWWVYv8c7eA3mj/e5xUMLy3gqG9/m8GPlvQ6/WNBrXS0lJZWNhsNqPRaHBzc5OdF6QLoq6uTi6n9OrVi8jISJycnBo167YXEsW/qqqKiooKmZJfXV1NbW0tOp0OnU5HfX09er0eaAiQarUalUqFUqmUm/tFUUQQBJnhZzAYEAShVdJRS8+pVCp0Oh2VlZXybL+4uFgWYW6axV2vBnV7IIkk2xLKlkSSrWlJdkR7szM+t7UgaW2wl5xAmmaNCxcu5I477uDee++9Jq0b1o61ZbZo6bbh7e0tT75UKlUzUXd7vt+1bk25liirEvnwOyN6g/3Bz0kFyYlKRva9QQMfQGm1yOc/CehNtFj2VCoamKCj+ym4peeN/4O3FVJpxtbAZjQarQ5sPj4+VFZWsm/fPlmTs6SkBJPJhJeXl2zlEh4eLqvJ+Pn52RwIbSnm21oAd6RivsSMbI2QJJVFpcArlX8kApJUirXMNG0FTmuEJFv/W3t9RwJM0yzEmgOELbdtR1sVXQt0VkZkzQmkLRmR2WxucZ2sqqqKqqoqdDodJpNJPr8EQZBl39zd3WXiT0BAgOyzeCPJ4nUWSqtE1uw0ojfSYtlTigFjb1EytJdjrZquiR+fwSRyNlckNU2kpr6hx++/HrSolA1GhH0jYECsEj/Prl1W6gja49gtBThrIslms1nWxJRUVaAheEksUJVKRU1Ng9fdhQsXyMvLQxRFeSFbIsJYDi5NFfNbur/WWZLJZKK4uLiZlY4ois2sdPz9/a1+PkEQWizfdkbrjK0gKf1uUlar1+vl8q7ZbMbLywtvb+9GeqISW7ErlrOuF+xxApHupTUwV1dXuTWi6WRI+i10Op3M5m3PGmZr66lubm42fRZtiYT/FmAwipy+KLD/jJlqnYgogkkAlQJUKhBFBf1jlAztpcLf2/HH4JoEPrMAeSVwKlekuBKMRhFBbIjwKhW4uSjoFaYgPhTcbxzOQDNIVGFbWZs1+rflRWDPbNBgMJCZmcn58+e5cOECPj4+hIaGylmctH6Vn5+PwWBArVZjMBhktQ+Jdiwx/iorK/H09KRHjx6ymkxXcH1uKsIsWelUVFSg1WqbWel4eFx/zzNJTLukpITi4mJ5QiNlorW1tTg5OeHi4oKLi4tc9lUqlSiVymZrnpZ/W/aitqX021qWeiOX06yxVq1lh5INlqurKy4uLs0Cn0Qm0+v11NfX22Q9Wrtvy/qoIAhUVVXZXIsFbI4N3t7eN/RvJQoCxsoS6grzyC9TUlTnjt6kQq0U8HA2EuVVgUdQNzT+ISidHV+9cHjgq62HnSegzkiL9hRKRUMGOCwWooMd+Yk6BunkteWHBtjM2lqjf9uiJUvKFWVlZdTV1ckN0pJivq0LtLq6mpMnT1JVVcXIkSNJTExsljVIItuS92BxcTE9evSQLZckkW1Hwmg0WhVhVqlUzQJcU3eHaw1pcmPr99fpdM388CzPh/ZkyG1tnbH2v63nlEplm3tR7Qmq7c1ObfUpWrvvaJ+irWMtXYMtlVpb63Oz9llaOm+b9kw2DY7WJs2W51ZXLqEKhnpqLpxAMBlbVjVRKAAFrt1j0WgdGwQcGvhq62HbMTAY7V/YVClhYDTEX0dRD8tyRdMBTqJ/2xrYmpYr2ktL1mg0MntOp9MRGBhIREQEsbGxcunT3sFF0vYsLS0lKSmJ/v3723xvXV0dFy9elL0HTSaTHASjo6Ob6XC2BaIoUllZ2axMWVlZib+/v0wykUqWHdlXRyAIgk0HdEmVxJbbtqen5w0zM7cs87UlqLbG8pVaZ5oyeiUyk+W+JYk26X2iKOLi4oKbm5t88/T0xNPTE29vb7y8vFptTbmWx681ZZPOWkKwFAm3dk5qNBqbXoLXsxoiGOqpTj+GaG4Dw1GhxCU0Chf/MId9LocFPrMAXx9uCH5t3YFKCWP6QrfWe3TbBYn+bWvWbkn/tkYmUSqVnb4I7+7uTm1tLRkZGaSnp1NRUUFcXBzx8fFERUW1ey3t5ZdfJjs7m48//lgWwy4pKWHEiBH079+/1eyprKxMzgZzcnLw8vKSg2B4eLjNz6XX65tlcUVFRTg7OzfL4vz8/K75+pVer7e5FlNVVYWHh0eLk5v/y5AsoGzJrFmWGKXWFKnMKK2xOTk5yexeidkLNOphtRZURVFsk6ygvVmq5EFoD37++WdmzpzZSFvWnmPWVtKYrTHDWpBsSoyz5BJYI8ZZjmeOuvZEQaA67TCCob7tb1YocY/qi5OnY4KAwwJfdiH8kt6wgNke+HnCpFtaf50tWFKSrc2QmtK/fXx85HUXyyzNkbRkURS5fPmy7E5uMpmIj48nPj6e8PBwq+8bNWoUJ0+epKCgoN39RJLeZlFRESNGjOCmm25CrVZz//33ExYWJqtINIUgCOTn58tu9FevXiU0NJSQkBDc3d0bBbvq6mqZzWZ5a9qb6ChYcwywHBgMBoPNrM3b2/u6llOvB1pyn7B235L7RNN7Z2dnIiMjO9w+A8gZqrWgWFpayiuvvMKBAweoq6tDq9Uybtw4Jk+e3CqBSRAEu1i7zs7OnD17lpdffpnvv/++1QDcHqav9FvYM7Guqamx+ltYjk1OTk6YzWbq6+vla+JaTPIM5YXoLmW0W7RZ5eqBZ9yAdu+/JTjs6j6d1/6gB1BR23DzaUGb1VpNXJrp1NTU4OnpiZeXlyx7JP3fvXt3+SIvKCggKyvLaqOtpGAiDeyd0WhrNpvJycmRmZiurq7Ex8fzpz/9iW7duqcpv6wAACAASURBVLV4keTk5LB//368vb3Ztm1bq3qdthAWFsY999xDfn4+e/fu5cCBAwwfPhyhFS8pacbt5uaGv78/JpOJy5cvc+XKFbl0FRoaSv/+/enbt69dslodgTWPOOn3r6iokKW9pFtUVJR8UXcFMoyjIWUZ9pTZa2trbWYZ3bp1sxrMrgdUKpVsJdUUs2fPRqPRcOHCBby9vcnIyODMmTPccccdrW63La0zgiAgiiJXr15ttSwsScF1JCv18vLCz8+v2Wskco4tlSNLE2LpcUkYQmqEj4iIkCd5ZrOZwsJCcnJyqKmpoaKiAqVSaZOF2lpZv74wr0NOBeZ6Hea6WlSunS/Q7ZCMr6wGvjveMQd2BdCzm0hCcGMWVFlZGaWlpVRUVGA2m2VFfKlUITHjOkpL7kwYDAYuXLhAWloamZmZ+Pn5yW4Hfn5+dm9n6dKl7Nq1i8GDB5ORkcH27dtJTU1l8uTJ5OfnyyWLr7/+mueff17WMbxw4QLr168HYMqUKezfv5+6ujoSExNZtWoVPj4+PP/883z66acolUo0Gg3Dhw/nzTff5PDhw7z22mtcvHgRLy8vpkyZwvjx4wkKCuLVV19Fq9XKGeSGDRvo0aOHnBG6u7s3Kou2J0OVWLLWsvaamgYHCFu9bTeSrJi9sLWuZC0bkNaVWiuZSX87sjWlJcGE7du3s2TJEnJycujduzcffvgh/fr1A+CVV15h9erVFBUV0b17d1566SXuuusuq/vo06cPy5cvt+quDpCWlsZjjz3GsWPHCAgIYNmyZUydOpUjR44wceJE8vPz5SCwZcsWli1bxokTJ6irq2PevHls3bqVbt26MXv2bN555x251Hn+/HnmzZvHiRMnCA0NJSUlRQ62o0aNYtq0acycOROj0ci6detYv349Gzdu5NChQ8yfP59169bh6+vL+fPn+etf/8prr71GUFBQq2QlKaNsi7iD1G/YtKVGYrTqdDr53JHGVxcXF3lskVqB6urqMBgM8vXn5+fXmIXq6kxd9ikQO+bP4KQNxr1HfIe2YQ0OyfhKqhsCV0cgAmcvlPDT5v/1vDKZTAiCgKura6OFbltlluvZF6PT6UhPTyctLY2cnBzCwsKIj49nzJgxjSyG2oLPPvuMJ598ksGDBzNkyBAKCwsZMmQI7u7u7Nmzh7FjxwLw+eefM2PGDKvbmDBhAmvWrMHZ2ZmFCxcyffp0tm3bxpw5c8jMzESlUpGcnIyrqyvHjx9nyZIlTJkyhYULF3Lu3DkmT57MY489RlxcHB4eHnz55ZeN3NVdXFy4+eabEQRBzqYPHjzI5s2bCQkJkYkyISEhMjtVonhbW58QBKHRBRUSEkKfPn1+ExRvCVIbhL0kiaZMQuleIj3ZyyTsCjh+/DgPPPAA3377LQMGDGD9+vXccccdpKeno9FoiI6OZv/+/QQHB/PVV18xc+ZMLly4QLdu3Zpta8iQISxevJjy8nJGjBhBz5495edqa2sZO3YsS5cuZceOHZw6dYpx48aRkJDAwIED8fPz49///jcTJkwAYP369dx7771Ag19fVlaWnD1Jr4EGRvKkSZN44IEH+OGHHzhw4AB33nknR48elX30nJyc8PT0BBqMpTUaDTExMcTExHDu3DnefPNNvvvuO+bNm8crr7zCvHnzWj1uTV1nWss8a2trqaioaDWrtXSdcXFxQa1Wy6pK0lgqZd1OTk7U1dWRk5PDxYsX5bYcURSJDfEnuW8MzuqOrR+aazugct0CHHJVGEydY0Tr4u7FnXfe2S5a8vVAZWWlvF539epVoqKi6N27N5MnT+4wIeLAgQPk5uYydepU/P39iY6O5vPPP2fBggVMnz6djRs3MnbsWKqrq/n+++95/fXXG71fEARKS0sZNGgQhw4doqioiMDAQE6fPs327duJiIjA09OTqKgo7r//fg4ePMj+/fupr69nxYoVaDQaunXrxsSJE9m4cSMvvPAC0Nhd3VI9RKlUEhISQkhICEOGDKGoqIiMjAyys7NJTU1Fr9ejVqsxGo24ubk1mjFKbutarfaGbeqV1olbKjFK95LVk7WszM/Pr9njXT2YtQWrV69m7ty5sjHxfffdx8svv0xqairJycmNyvnTpk0jJSWFw4cPW3VJeO+993jrrbdYuXIlDz/8MOHh4bz33ntMmDBBPsdnz54NwM0338yf/vQnNm/eTEJCAvfddx/r169nwoQJlJWVsWvXLj744AMANm3axAcffCBbRz3++OOyWXRqaio1NTU888wzKJVKRo8e3ewaaQkvvPACQ4YMYdCgQYSGhvKXv/zFruN2vV1nDAaDLIcoaexK/+v1etxdXVB2wnUrdtBeyhYccgWplP9tyehg8HNz0dCnT59O+UyOgCiKlJSUcP78edLS0qioqCA2NpbBgwcTHR3dqaWjtWvXMm7cOPz9/QGYMWMGa9euZcGCBcyYMYNhw4axatUq/vWvf5GYmIjZbObgwYOkpaVx8eJFUlJS8PDw4KeffuLIkSNUVlbKmfSECROIjo5m8+bNeHl5ER4eTnh4OJWVlezcuZOVK1cybNgwBgwYQHh4uOyiDdC9e3c5Y7HFkpV86nx9fQkKCiI+Ph4XFxeqq6vlNQWJDBMQEEBkZGSXlOCy1ppiK5hJbF5rwczf379ZtvZ/VZUlNzeXtWvX8t5778mPGQwGrly5AjRUOd58801ycnIAqKmpsWl35erqyqJFi1i0aBFVVVW88sorTJkyhby8PHJzczl06JDscQcNFSQpq5s5cya9evWipqaGTZs2kZSUJGeVV65coXv37vL7wsPD5b+l5ywrD02vkZbg5OTE/fffz+OPP86bb77Z6ZO8pipF9q5jtpZNmkwmq+uUXl5eODs74+fXOWvoCgdVdBwS+NycGxrSOxqr3brgEo0oiuTn58vkFKPRSFxcHGPHjqVHjx4OGcDq6urYtGmTLK4MDXT8iooK9uzZg7+/P35+fixcuJAdO3bQq1cv9u7dS1BQEF5eXoSGhvK3v/2NL7/8kvT0dA4cOEBERASVlZX4+voiLfM2PVF79+5NbW0t06dPZ//+/Rw4cICDBw8SExPDDz/8wMWLFyksLOSVV15BpVI1WvgODw+nf//+cm9bSxeBKIoUFRWRlZXFsWPH+OabbwgMDJTXB0NDQx0WGMxms93SV/X19VZbUzw8mrtGdFXF/K6G7t27s3jxYhYvXtzsudzcXObMmcOPP/7I0KFDUalU9O/fH3toCV5eXixatIiUlBQuXrxI9+7dSU5O5t///rfV14eGhjJ06FC+/vpr1q1b16jc2K1bNy5dukRCQgLQ0BcrISQkhEuXLiEIghz88vLyiI2NBcDd3R2dTie/vqCgoNF+8/PzefHFF7n//vt58skn2bNnDwqFwq7g1LREae05S13alog00r2np6fdCkEtXdPGyhJqc893iNwCoFDfQLZEodoOJ3sgGPFzrkAU/a97qUtiYqalpclrD/Hx8dx1112EhIQ4/PN9/fXXqFQqtm/fTnl5uSyJtWrVKl566SXmzZvH2LFjSU1NJS8vjwMHDhAQEADA4cOHZfPJ6upqNBoNfn5+6HQ6Fi1a1Gg//v7+nD17lnPnzlFeXk5xcTGiKDJ37lwGDBhAYWEhqamp3HTTTRQXF+Pj40NkZCQLFizoUIamUCjkdodhw4ZhMpnIy8sjKyuLHTt2UF5eTkREhBwItVpti8dccgSwh82o1+txdXW1GsyCg4ObBbPfwpri9YLRaKS+/n97utRqNXPmzOGuu+5izJgxDBo0CJ1Ox88//8zIkSPltgnpXP700085c+aMze0vW7aMP/zhDyQmJiIIAu+88w4+Pj7ExcURGxvLM888w7p16/h//+//AXDixAk8PDzo1asXALNmzeKVV14hNze3EYFm6tSppKSkMHjwYKqqqnj33XcRRZHi4mK6d++ORqPhf/7nf7jnnns4cuQIW7du5aOPPuLHH3/E09OT1atX4+fnR1FREW+//TYeHh68//776PV6Vq1aRa9evYiIiOA///kPU6dO5e67726VsOLt7W2XJF1b+hM7E+rO6L9TqtAEOEbJxCGBT62CnsGQfqX9a31KpYIjezdz5GeBAQMGkJiYeE3LXwaDgaysLNLS0sjIyECr1RIfH8+sWbPkcqMjYCnCLN1eeukl+vTpQ3Z2NkFBQdx0000EBQXRvXt3nnzySSZPnsygQYOIiIhgwoQJ8kDRFPfeey/fffcdISEheHp6ct999wENaxhSr8/Ro0cZOHAgiYmJvPPOO/zzn/9k+fLlvPnmm4SGhvLFF18wfPhw9u3bR35+vtzQ35lQq9UyCQYaiAkXLlwgIyODffv2IYoi/v7+8uy0qcyV1JrSNJg1bU2RCFC/B7Nrg9tvv73R/4sXL2b58uWsXr2a+fPnk5mZiaurKyNGjGDkyJH07t2bp556iqFDh6JUKpk1a5a8nmwNCoWC2bNnk5eXh1qtpk+fPnzxxRcyA3HNmjUsW7aMJ554AkEQiImJYd68eeTn58ssyaysLAYMGMBXX30lZ05arZbq6mr5uhkwYACXLl3iyy+/xNnZmYcffpj169fzwQcf4Ofnx4IFCwgODpbLmC+88AIPP/wwcXFxTJs2jYMHDzJlyhTWrFmDRqNh165duLq6MmfOHBITE1m6dClJSUmO/jkcCoVShcavG/rifDqSBjl5Wx/LOgqHNbBX18E3R9rX0qBSQu8wuDlSJDc3l2PHjpGZmUmvXr0YMGCAw7IsnU5HRkaGvC4WGhoqN5T/f/bOOz6qOv3+76npk4T03igJgRAglCwlsEhTYGEBEX4EYZEVvxYQXFHAVRQVUYqKCyoKCIgFEFERQZqJ0kKHACGkkV5JT6b+/sjeuymTZFKGop7XK6/AzGTmzp0799zn+ZznnNYqMRuDEENU35+yqKgIR0dH0bZLqIRMzVTTarVGkx+E35aWlo0OqxpLgGgKubm5xMTEkJSUJC7Qt2SEQKvVGq3KjK2bqdVqcezEwsJCbFGWlJRgZ2eHt7e3SJYqlequdwn+RPOoL6Ror5QMtfp/HqQtnZ/729/+xmuvvcaQIUOMPubP9rXp0FVXUnrtdOtGGiQSLFy8sfIMav8Nw8xendcy4PTNlpGfVAKONjC6Z03lKKC8vJxz585x5swZLC0tiYiIoHv37m1WNdVWYmZmZhIYGEhwcDCdO3duN2sqjUZDXl4e2dnZonVXTk4OEonEaJROc2a2piRANDbbZo7B47y8PH755ReSkpLo06cPwcHBRkmtPrFptdpG5yzrV2uNqTt1Oh23bt0SvUXz8/NFk+2goCBcXFz+JME2orZ0vj3JSZDOt2faRG1v0JZi165dLFq0iISEhD+7AO2E6vxMKjMSW0h+EmRWNth26olEap4LDbOnM1xKg/MpppGfTAr21jCyB1g0Iog0GAyiCCIlJYVu3boRERGBm5ubyduUl5cnkl1RURGdOnUiODiYjh07tkmJWduEufZPcXExTk5ORqN0jKE1CRDC/5tLgGgNarcSm5Lml5aWotXWJE0Kgg+VStXowLQ5RlMEk23BX1Sn04mVYGBg4F0zvr4TEFw82iu5oblh6Za4jzRGWPcKwQwZMoT4+Hi2bt3KyJEj7/bm/K5QlZNGVXaKaeQnkSCztMEmqAdSufkMFe5IHt+tAoi7SU0Irb5hx1f+3/GHzp7Q079updcUSkpKOHv2LGfPnsXe3p6IiAi6du3agLwMBgOZmZni2IFara7jidmaq0O1Wm00SkehUBiN0qn/Gmp18wkQxqo2YbatLRBOkKbGvxgMBpN8SQXH/IKCAmJiYkhMTKRv377069fvrownGAwGioqKRBJMTk7GwcFBrAZ9fX3veJAumE9irtPp6uT2tbTV15Tf5L1CUH/i/oSmpIDKjJs1htXGCPC/lZ2FkweWHgFmq/QE3BHiAzDotOTdSOFKOuTjjFaqRGrQYq0vp4uqkICu3ijs7Fv13Hq9noSEBOLi4sjMzKRHjx707NmTsrIycexAqVSKNmEtWSM0GAzcvn27QZROSUlJAxNmV1dXbGxsxL9rLgGisWwtBweHFg8p1ze2be63RCIxOctMsDpqKQQCTEhIoG/fvvTv3/+uzucJJtsCEebk5NRZG3R3d6/zPusHw7a0mjJVYt5WL8faBPVnW/dP3KvQ6Q3k5pZQlXsLK10pMnTokaKRKNHaeuLi5YaN1Z1ZQzU78RkMBrTxJ9BdO1Fzg9ZILtN/2V3i7IWy/xgkVq1rR2k0Gs6fP8/p06fJy8tDqVTSuXNnBgwYIM6/NYXq6uoGFVxubi6WlpZGo3QEUmwuAcJYW9IUk+TajvnNSfPLy8uRSqUmh2KaY62vMRQWFhITE8P169fp06cP/fv3b9don/qZcqaSU2VlJcXFxaJ7il6vF2NydDpdgwic9lqLulsS8z/xJ+4GDAYDSTl6bubUVHrGlr0k1HT9HGwk9PCXYakw7/fDrMRnMBjQnPgefcYN0GlN2BopKC1RDvt/SE2cA6msrBSVmElJSXh6eorrdVlZWcTFxVFQUEB4eDi9e/fGwcEBvV5PUVFRA5IrLy9vUMXZ29s3EJPUToBQqVSNqiSNKRybcsw3RmaCY35zLca76ZhvCgSXm5iYGG7cuEFoaCghISFIpdI2CyUAk6qn5lp7VVVVZGVlkZ6eTlpaGjY2NgQFBREYGIi/v/89vX//xJ+4F2EwGLiQqiPntsHk0TalHPp3kmNjaT7yMyvxac78jC75ommk979NAksbLEbORGJpPLutpKREFKdkZGQQEBAgKjFr57298sorXL9+nRdeeIFz586Rnp6OXC5Hq9WKA8qCAEOhUDSIuSkqKkKn0zVatalUKmQymai0NDX+RaFQmJxlVn8NSiKRcOPGDTp27Niaj6RZ1JaYz5kzBzc3NxYuXNiuEnO5XC7eplKpcHZ2FrMQW6PkM4fEXK/Xk5WVJSZNZGRk4OnpyfXr1zl06BAnTpz4c93rT7QatbMvj7Yi2PZ+QXy6lvR8A7oWsoyFHAYEy7EwU+VnNrdbfWF2K0gPwADVFWguHkPZ938u6Pn5+SLZFRQU0LlzZ+bOnSuefASjXyGj6h//+AeJiYnk5uZy+vRp7O3tCQsLE9frysvLSUtLIzExEWtr6zqk1qVLFzGYVq/Xi8QVFxfHSy+9xOXLlzEYDKhUKkJDQ+nbty/29vZG41+Etmbt29vDZNiYxHz8+PGcPXsWmUyGTCajU6dOPPvss/j4+LRYYq5UKklMTKSoqIj9+/c3Wj0JSRmmrFPVJ6jbt28TExPD1atX6d27N5GRkXUuXDZv3szGjRuJjY1tdD8MGTKE6dOn89hjj4m3teREUj+2SYBUKsXLywsvLy8GDRqEWq0mNTWVS5cuUVBQwDvvvENAQIAolKntAfknGkdsbCzPP/88V65cQSaTERISwtq1a+nTp49Jn7c58fnnn7N69WquXbuGnZ0d4eHhLFmyhIEDB96V7bnfUVJh4Fa+6ZVebai1cD1TR5ifeSjKbMSnvX669T5tBj36tKtkuIVwLbHGPaWqqorg4GCGDh2Kq6sr+fn5HD58WGxTLlq0iClTptC7d2+xJZWWloZUKiUnJ4eqqioxysbDw4Pq6mpxrk44KZeWlpKdnU15eXkDx/z09HSWL1/OjBkzWL58Ob6+vhQXF7Nz506GDRvGsGHDGu4DrRaZTFaHXPLz89skMQdYv369WKXWJpjCwkKmT5/O8OHDkclk7Nq1i1deeYWNGzdibW2Ng4ODSaIK4WLiypUreHt71yGV9oSDgwNjx45l0KBBxMbGsm7dOnr16kVkZKQoErpXoFQq6dSpE927d+fkyZPMnTtXrAaPHDmChYWFSIL+/v73pMn23UZJSQljxoxh/fr1PPzww6jVamJiYu6J3MTVq1ezYsUKNmzYwMiRI1Eqlezfv59vv/22xcSn1Wp/VwkarUVyro7W9hMNQFaRgRBvAwpZ+1d9Zvl0DOoq9OkJtPpdAxqNlqsHd1PuEkS3bt3E9ZcrV66g0WiwsrIS25aVlZUAdUQDUqkUuVyOVCpl7969XLhwAZVKxSOPPEJwcDC2trYYDAb27dvHpUuXUCgUDBo0iH/84x9i1pxWqxUJZ+3atYwdO5bo6Gg0Gg3Jycmo1Wr69etHXl4en332GUePHuXYsWP4+Phw6tQp+vbtS3h4ON999x3Z2dlIJBK6du3KjBkzxCrp6aefZsyYMRw9epTc3Fz69evHsmXLRDuuLVu28OmnnyKVSkUj39mzZxMSEtJAIPHll18SGRkpehGGhoYSHh7O0KFDgbrtFWhYGZ07d47Zs2dz48YNHnzwwTrPX1RURHR0NCdPnkSr1TJgwAA2bNiAt7c3UFN5RUZGcujQIa5fv86QIUPYtGkTHTp0AGriWxYsWEB8fDx+fn68++67DBkyBIA9e/bw6quvkpeXh42NDUOGDGH48OE8+eSTaDQaMVfu9u3brTqWMjMzmTt3LrGxsXTo0IFFixYxZ84c9u/fzxtvvIHBYGDPnj0EBQVx4cIFiouLWbBgAfv27UMqlTJr1iyWLVtWp2JVqVSEh4eLpslC2vXp06f55ptvcHNzE9Wi3t7ef7ZFgYSEBACmTp0K1KQpjBgxAqgJc507d26Dz7u6upolS5bw1VdfUV1dzYQJE1izZg1WVlaEhITw9ttvM2bMGKCGcNzd3Tlw4AC9evVq8pirjeLiYv7973+zadMm/v73v4u3jx07lrFjxwI1nrfz5s3j6tWrWFlZMXHiRFavXi1eZEskEtatW8fatWvRarUkJyc3Gnz7R4BGayD7tqFNns0SCWQU6PF3bf+lDLN8G/VZSaJSs7VQSCFIXs2lS5eIiYnhxIkTYtSHYFklDE0LSrzaJyYhFPHChQsMGTKETz/9lP79+/PDDz+gVCopKSnh1VdfxcbGhoULFzJ9+nR++eUXdu/ezZdffsm2bdvYt28fx48fJy4ujosXL9KzZ08qKyuRSqWoVCo8PDzo2LEj4eHhDBw4kG7dupGamsro0aPJyspi7969PPnkk2zYsIHCwkKSk5OxtLQkMTGR6OhopkyZgrW1NZcvXyY2Npa0tDQyMzO5fPkyPXr0IDU1lU2bNnH48GEx0BUwabxArVazfft2+vfvb9L+Flql0dHRFBYWMnnyZHbt2iXer9frmTVrFqmpqaSlpWFlZcVTTz1V5zk+++wzPv30UzIzM5HL5TzzzDNAjQP9Qw89xNKlSyksLOSdd95h4sSJ5OXlUV5ezjPPPMOPP/5IaWkp586dY/78+bi7uzNu3DhCQkLIzs5uNelBzYnW29ubzMxMdu7cyeLFizl06BCjRo1i8eLFTJkyhbKyMi5cuADUZMLJ5XISExM5d+4cBw4cYOPGjY0+v+DAM2DAAKKjo3nuueeIiopCrVazb98+Vq5cyRdffMHp06cpKCgwKV3g94jOnTsjk8l49NFHRfNxASEhIWzYsIHIyEjKysrEz1twUjl//jyJiYlkZGSIWXhCDqWAn376CWdnZ3r16tXkMVcfx48fp6qqqtFkd6gJX12zZg35+fkcP36cQ4cOiXl9Avbs2cPJkyeJj48Xg2+nTZtGbm4uO3bs4P/+7/+4cuVKm/bh/YL8UgNtFS7r9JBR2LYE98ZgnoqvurLNcRQAVvKaPSeQmk6nE3OgFAqFuIYmCBxUKhUuLi51sqF69OjBww8/jFJZ42g+ceJERo0axaVLl8QrfYVCgVwux93dnYSEBP71r39x4cIF4uLiKC0txcfHB71ez4QJEwgODgbg+eef56OPPkKj0fDiiy+ydOlSOnTogKenJ4sWLRLfg0qlEpOgXVxcWLBgAcuWLavzPp955hk8PT2BmqvM8+fPAzXm0bNmzRIzCV955ZU6X3RjeOaZZ3juueeoqKjAysqK3bt3m7SvT5w4gUajYf78+UgkEiZNmsTq1avF+52cnJg4caL4/yVLloiVpIDo6GhxW1977TXCw8PZsmUL27Zt48EHHxRNiocPH05ERAT79u1j0qRJSKVSLl++jK+vLx4eHmIOWlpaGleuXOGDDz4gPDycAQMGGHVeEd6zAK1WK6653bp1i9jYWL7//nssLS0JDw/nscceY+vWrUbb0zk5Ofz444/cvn0bKysrbGxsePbZZ/noo494/PHHTdqXCoWCoKAggoJqfAbLysrEtmhMTAxSqVRUiwYGBrbraMe9DJVKRWxsLG+99RZz5swhOzubBx98kI8//tio85LBYODjjz/m4sWLYudg8eLFTJs2jTfffJNp06bRs2dPKioqsLa25vPPP2fatGkATR5zgjm7gIKCgmatAnv37i3+29/fn8cff5xjx44xf/588fYXX3xR3M4vv/yyyeDb3zvUWkNbGn61nqftz2EM5mlEt8aU1AjsbGx5/PEpddaihOquPpYtW0ZUVBQPPPCAeFtsbCwajUY8aO3s7Kiursbd3Z3ffvuN7OxskXCgZh5s0KBBWFlZ0b9/f/r160dKSgq//vorEomEnTt3MmvWLLy8vFi5ciUrV65k+vTpok0XUCewEmqMnJ955hliYmIoLS1Fr9fj6Fh3VKP2jKG1tbUYwpmZmVnnC1c7ALMxvPfeezz22GPo9Xp+/fVXxo0bx7FjxwgLC2vy7zIzM/Hy8qqzb2u/XkVFBc8++yz79+8Xr9RLS0vR6XRipV0/rFOj0ZCfn09qaipff/013333nXi/RqNh6NCh2NjY8OWXX/LOO+8we/ZsBgwYwKpVqwgODsbKygpHR0eeeOIJfv31Vz744AN69OjBgAEDsLOza/CeBQgtXOF9CZmAtbctLi7O6H5ITU1Fo9GI5As11W79z7UlsLW1JSwsjLCwMDHOJikpiQsXLrB3716cnZ3F9UEfH5/ftRFySEgImzdvBuDatWtMnz6dwIjQ8AAAIABJREFU+fPnG72gy8vLo6Kios53wGAwoPtvKnfHjh0JCQnhu+++Y+zYsezdu5dz584BNHnM1YeTkxP5+flNrs0lJCSwYMEC4uLiqKioQKvV1tkuqHv8Nxd8e69A2J8tcRCqfZuQwC4kr2s0GrRaLU6+PfEJGYpU1jaKMVdvxCzEJ1Fa1czktTGKVm5p3WjETlvh4+NDQEAAN27caPQxEomEgIAAAgICeP/99zl37hx2dnZYWVkRERFhNB2+Pim/+OKLSCQSLl68iJOTE3v27GnQImwMQgCmgNoBmM1BKpUyaNAgMTQ2LCysyVBMDw8PMjIyMBgM4ntIS0sTq5ZVq1Zx/fp1Tp48ibu7O+fPn6dnz5512nb1t1WhUODs7IyPjw/R0dF8/PHHRrd15MiRjBw5ksrKSpYuXcqcOXOIiYkRt0OlUjF69GgGDhzIr7/+yn/+8x+RAJuDp6cnhYWFlJaWiuSXlpaGl1dNzlf9z0vIV8vPzzeLQEEikeDq6oqrqyv9+/dHq9WSnp7OzZs3OXjwIPn5+fj5+YlE6Ox89/MozYXg4GBmzpzJhx9+CDT8LJydnbGysuLKlSvi51UfQrtTr9fTtWtXccynuWOuNiIjI7G0tGTPnj1MmjTJ6GOeeOIJevbsyY4dO7Czs2Pt2rXs3LmzzmNqb39zwbctRXNJFq1xEKo/ZiT8yOVyscAQVPICQdZ3M9JqtVhaWorKeFtbW+zs7LBw8KeqHRbSTLWvbPHzmuNJpa4+ba/6pDKkXuaZVQPo27cvKpWKt956i2eeeQalUsnVq1eprKykT58+DR6/atUqRo4cSUREBP369SMhIYGdO3dy9uzZJl1hSktLsbe3x8HBgYyMDN5++22Tt/Hhhx9m1qxZzJgxA39//wYt0uZw/Phx4uPjxdZKeHg4q1atYunSpaJgR0BkZCRyuZz33nuPJ598kr1793Lq1CnxCrm0tBQrKyscHBwoLCw0ui3btm0Tt/Xf//43kyZNQiaTMX36dPr06cNPP/3EAw88gEaj4cSJE6Ip+MmTJxk2bJgYCCtUPG5ubqSnp6NWq1Eqa9KhR40axYABA/jtt9/4z3/+Q2FhoShuMgYfHx/+8pe/8OKLL/LOO++QkJDAJ598Io4vuLm5cfDgQTFB28PDgxEjRrBw4UJee+01bG1tSU5OJj09naioqBbtf1Mgl8vx9/fH39+fYcOGUVFRIZpsnzhxAr1eX6cteq+pXVuCa9eu8cMPPzBlyhS8vb25desWO3bsENeh63/eUqmUOXPm8Oyzz7Ju3TpcXV3JyMjg8uXLopH0I488wpIlSygsLBTbnECTx5wgyBJgb2/Pq6++ypNPPolcLmfEiBEoFAp+/vlnjhw5wsqVKyktLUWlUmFra8u1a9dYv3690YtyYcxoyJAhPP/886xbt44HH3wQtVrNxYsXUSqVeHt7k5ubi06n4+DBg8TFxVFZWclXX31l0piRKaND9ceMZDIZWq1WFOwJFVplZSUVFRXiyFZJSYnR1JTGftdOTSkpKRHtAK8lHKXTgEeRtuGaTSoBN/v7aI5PYmOPxNkLQ67pFYoxyDv1bKctagiZTMZ3333HwoULCQgIoLq6mi5duoiKx/oYOHAghw8fZtmyZbz11ltATTXRq1cv7O3t+fTTT8WKqTZefvllUcXZsWNHoqOjWbNmjUnbOHr0aObPn89f//pXpFIpy5cvZ/v27U3+zVNPPSWuO7i7u7N8+XJGj66Zh4yOjubnn38WT7SzZs1i1apVQI1gZvfu3cyZM4elS5fy4IMP1lG4zZ8/n2nTpuHs7IynpycLFy5kz549dV47OjqamTNncu3aNaKioli/fj1QQz7ffvstzz//PFOnTkUmk9G3b1/Wr1+PXq9n1apVREdHI5FICA8PF0UDf/3rXwkNDcXd3R2pVEp+fj5Q07IeOXIkAwYM4PPPP+fo0aMEBQUxcOBAo7mJO3bsYO7cuXh6euLo6MiyZcsYPnw4AJMnT2bbtm04OTkREBDA2bNn+eyzz3jhhRfo2rUrpaWlBAYG1lm3NSesra0JDQ0lNDQUg8FAYWEhN2/e5MqVK/zwww84OjqKJHi3TLZbCzs7O06ePMnq1au5ffs2Dg4OjBkzRrwYNPZ5v/XWW7z66qv079+f/Px8vLy8eOKJJ0Ti8/DwIDIykmPHjvHVV1+Jr9XUMQf/M2oXSGXatGnIZDJeeuklpk2bhrW1NcHBwUyfPp0jR44wZcoU1qxZw5tvvomfnx8hISFcuXKF9evXo9HU2DCuX78ee3t70Sg8OjqaDRs28OKLL2IwGMTvnFwuR6PRYDAYxEpJCM5tiszqK4PVanWjphn5+fl1TDN0Op3ROWMXF5cGt5uamqJWq7lx44ZIduXl5eKxOWzYMBLyFBSUta1Z6et8n8US6bKS0Pz2rXFvThMgcQ/AImpyO2+VeaDT6UhISODMmTNkZWXRo0cPevfujZOT093etDsGY4PkdwplZWX89ttvnDt3jm7dujFw4EDs7VtneH4vQ6fTkZGRIWYP5ubm4u3tLVaEbm5uv7u2qF6vb3Frz5R1KsEovCX+q6a4CrXFKLx+akpTvrxCaooxMjPmzyuYe7T1s8jKyhKJLisrC09PT7EtL1ywCMgr0XMuWdeqMHIAJzsJfTuaR4ZiNuIzGAyoD+/AUJjVcoWnXIHygWik9s7m2DSzorCwkDNnznD+/Hnc3NyIiIigS5cuv2vBAtxd4hNQXl4uEmDXrl0ZNGjQ75IABVRVVZGSkiKeiKqrq8Ur7qCgoDqCHnPDWJKFqU5BTT1Wr9e3Ob3CGIHdKaPwxlJTGiOz2qkpzfnzmjLW1FYUFRWJiuTk5GRsbW3FCy0/P78m/WsNBgMnE3UUl7fcvUUmhcjOcuyszPP+zGtSralG/fM2DGW3TSc/mRzFwL8jc/c312bdEWi1Wq5evcqZM2coKCigZ8+e9OrV63drbXUvEJ+A8vJyjh8/ztmzZwkJCWHQoEG/2/1eG8ZOUgIJ+vn5oVAo2hy11Nh9AkGZSkCmVlP3YpKFYDRvSgRYU6kpjZHZ3URjF1MC2bX0YkqrM3A8QUtFNSaTn1QCvQJluKjMZ/pg/lgirRr1r99iyLtVQ36NvZxcCVIZysETkTp5Gn/MfYq8vDzi4uK4dOkS3t7eRERE0LFjxz/dPMyMiooKjh8/zpkzZ+4rAjQmMTelfVf//4L1ntDagxrloUKhwMLCAgsLiyYJqSWtvsbGjO4X1E5NMSUCTC6XmxwBdi+vwxprn/v4+Ihk5+rq2ubPVaszcD5FR0Fp05WfTFpDer2DZDjamPfceMeCaPW381BfO40u7Ro6gwSDQYJEYkCGHoOdM1bd+yP16mj25N27CY1Gw+XLlzlz5gxlZWX06tWLnj173tGW1B8RFRUVnDhxgri4OIKDgxk0aFCDWcrWoL7EvD1l5vUl5m0NqjUYDGRlZZGcnCwKEQICAsQr+fvhgqClaC41pf5vITXFlAiwe5nMmkJtwVRSUhIpKSmiYCooKAhfX1+z+YyWVhpIytGRVdTQyszGQkInDyluDhKkd+AC6o4QX26hlh9iyvj1QiUWEg320lKsZWo0ehmlOmuK9Tb4uisYO9iWnsFtX4S9HyBkBcbHxxMQEEBERAQBAQF/iPd+pyFIzIuLizl9+jSXLl3Cx8eHrl27YmFh0SwJNUVcTUnMmxJKNFdNmbsbUFt6npSUhKWlpUiCAQEB94RxtDEYDAYqKipMIrOKigqUSqXJEWC/V2Pp2iMySUlJd2VEprQSrtyCmzkgoYb4pJKa3wa9BCQSHGyguy/4ONFmu7PmYHbii0+qZs32IjRaA/pm1D0WCgn9wyyZNc4eaVsGQO4jVFdXc/HiReLi4kQ3iPDw8DrxPH8U6PX6FinzTK2eNBpNHQKSy+Wi4MDOzg43Nzfs7OxarOIzJjG/H2EwGMjOzhbbXRkZGaLJdlBQEF5eXmZ9n3q9vkkyq/1vITWlMTVj/dt/76IyY6htipCUlHTXTRGyi+Dw5RrvzebIRi4Ff1fo35k2zQA2B7MS37WUat75rBB1CyYalAoJfbpa8s+J9n+o6sdgMJCens6ZM2e4du0aXbp0oXfv3vj4+LTLfpg7dy5eXl689NJLbX4uQWLe3jJzrVbb4sqpLRLzqqoqTpw4wenTp+nUqRODBg36Q42gNAaNRkNaWpp44iwuLsbf3188cTo6OjZ7TAo5lqaoGSsrK7G0tDRJmm9tbf2HJLOmUNsG7+bNm6SlpeHs7CxWdXfTBi+nGH6+SItGGmRS8HWGgcHmq/zMRnxlFXoWrM6lqrrlT2+hgGmjVQztc/+6VLQFFRUVXLhwgTNnziCTyejduzdhYWFNZryNHDmSfv36ic71ULNwvWvXLp5++mkuXLhgMmE1V2m1h8Tc2G13S8FXVVXFyZMnOXXqFB07dmTQoEE4O99/ozTmgmCynZiYSFJSElKpFDc3NxwdHbGysjI6e1ZVVSWafNva2rJw4UKKi4vFE7BEImHKlCm8++672NjY3DOV8+3bt8VIqvLycjw8PJg9e7ZoYCCRSLhx44ZojXa3UNv4PCkpCZlMJl6YBAQE3BPG59Ua2H0SNK1wrpRJoU8QdDaTztFsxPdDTBnfHCltUbVXGx3spaxZ2HZF0b2O2go+Y2SUkZEhqq1cXFxwc3NDqVQ2eHxsbCx79uxh8eLF4u0Gg4Gvv/4aJycnJk2a1CxB3c8S8/ZAVVUVp06d4uTJkwQFBTF48ODfPQEK8V6mDExXV1djZWUlXoCp1WoqKiqwsbHBw8MDX19f/P39UalUWFtb1yEzf39/Nm7cWMdE/l7ErFmzKC8v58MPP8Te3p6EhAQuX74senjeLeJrjyr8TuPKLTif0rJqrzaslTCxv3mqPrMQn15vYN7buRSXtd6v00IpYcF0R0IC7o1FdkHB194OEmq1GolE0iThCAqyoqIicnJyUCqVBAQE4O/vj7W1tTif1atXL7744guGDh2KQqGgpKQET09PTp48yZo1a+qE0H777be8/PLLJCUl4eLiwgcffMCoUaNMCmH9vaO6uppTp05x4sQJAgMDGTx4sNnM0s0BrVZr8sC0Wq1u0FZsTABibW3d4OSq1Wq5deuW2GYrLCzE19dXbLMJ60lNEd/mzZv5+OOP6du3rxhevG3bNhISEnjppZeorq7m7bffFuOEZs6cibW1NcnJycTExNCjRw927drFihUr2LJlC25ubuzYsYOePWssD1esWMHHH38sSvVff/31RrP3unXrxvLlyxk/fnyD+wYPHkxMTIy4Hz755BOmTJnCxx9/zFtvvUVhYSEDBw5kw4YNYuqLRCJh/fr1rFq1ivz8fKZNm8a6devE/fjpp5/y9ttvk52dTd++ffnoo4/w8/OrE26clJREenr6HV13bSsMBth5AirVrX8OuRSGdgOPtguwGz53+z8lXEtRU61uG59Wqw3s/7W8xcQnKPhaOqRryoxUSyTmFhYWYop6c9VUS0hFr9dz8+ZNzpw5w4EDB+jWrRsRERG4uroyZcoUdu/eLWaQff311wQHB9OjR486z3Hq1ClmzJjBzp07GTZsGFlZWZSWlgI1Iaxubm4kJiZSXl7OmDFj8PHxMTmL7vcACwsLBg0aRN++fTl9+jRbtmzB39+fwYMH4+rqele2SaPRmCTJLysrQ6PRGCUvR0dHvL2969xe22S4NZDL5WKCiWCyLbTfjh8/jsFgIDAwEI1GQ1VVVaPPc/LkSR577DEKCgp4+eWXeeSRRxg7diyJiYkcO3aMiRMnMnHiRDGP8auvvuKnn34iNDSUBx98kMjISJYtW8aqVat4+eWXWbBgAUeOHAEgKCiImJgY3N3d+frrr5k+fTqJiYl1oqcE9O/fnyVLllBUVMTAgQPFLE2AX375BYlEwoULF8SK7/Dhw7z44oscOHCA0NBQnnvuOR555BF++eUX8e++//57Tp8+TUlJCb1792bs2LGMGjWKPXv28MYbb/Ddd9/RqVMnli1bxrhx48QLUgsLCwIDA+nTpw+TJ09ucqnjXkNOcetanLWh1UN8unmIzywV3+HT5Xz+Y0mr25wC7G00TB2c3mKyEkxi21soca9dYRUXF3P27FnOnj1Lhw4dkEgkzJs3j+zsbKysrBgwYACTJk3i2WefZebMmWLF9/jjj2Ntbd3ALDsnJwdfX18xhBVqDJ4/+ugj8STyR4RarRYrQD8/P6KiotqFAGuvjTWlZiwrK0On05k8MG2qybC5YTAYKCgoICkpiYceeoiSkhJkMhlSqRSpVMrKlSuZO3cumzdv5vXXXxcjwi5dukRYWBjZ2dliQK2TkxOHDh0iPDycmTNnolAoxMih999/n//85z9cvXpV/PtBgwaJKe71ER4ezrJly/jb3/7W4L7KykrWrFnDrl27uHjxIn5+frz//vui0Xv9Vufs2bNxcnJi5cqVQM3am6OjIzdu3MDf3x+JREJMTAwDBw4EahJXevXqxQsvvMDIkSOJioqiV69eJCUlUVJSwssvv8yuXbsYOHDgfT1bmZAFpxNb3+YUYGcJE/q1zzbVhlkqvqpqA7q2B7BTrTZQWlqKUqkUr1j/KBJzU2Bvb8/QoUMZPHgwCQkJxMXFoVAoeO2115g4cSKnT582msB+69YtsSqsDXOEsP4eoFQqGThwoFgBfvbZZ/j5+TF48OAGyeFqtdpoi9FYq1FwzK9PZs7Ozvj7+9chtfYwGb7TkEgkODs74+zsjI2NDdu2bSMkJERs3+Xm5rJt2zZu3LhBhw4dxCxI4aKr9r61srKirKxM/H/9+5p67Geffcbq1atJSUkBashJSPqoDysrKxYvXszixYspKSlhxYoVTJ48mbS0NDFdvTYyMzPp1auX+H9bW1ucnJzIyMjA398f+F/QtP6/81zx8fFs3ryZc+fOcezYMfGcJZFIkEqldOjQ4Z4ivfpjRk0VHdXV1VRUVFCCN1rb7kgkbVsi0bZPpnkDmIX4LC0kyGRtZ3sLpYQuXbrg5uZ2T6iU7lXIZDJCQkIICQkhPj6en3/+mbi4OLp27UpBQUEDgYaPjw83b95s8DzmDmG9HyE45gtk5ejoyIABA0hMTGTjxo1iCKdQvRlzzLe1tcXV1bXB7fcjmbUFMpkMX19ffH19GTp0KFVVVSQnJxMXF0deXh6rVq0iKCioXY+91NRU5syZw6FDh4iMjEQmkxEeHt4gPswYVCoVixcv5s033yQ5Odko8Xl6epKamir+v7y8nIKCgjrBuZcvX+bcuXMkJyeTlpZGQEAAAwYMoEePHsycOZP/9//+X7u819qq7facg9VqtWKShVCtC8etwWBAr9ej0+nEvD+5XI69lxJbGz20kfjkZqphzHJ2c3eS/9d2pi1dVAM2yjIOHz5BTk4OlpaWuLm51flxcnL6w1R3puLxxx9n1apVuLq68uyzz3Ly5El+/PFHsrKyRIHG7NmzGTFiBGPGjGHo0KHiGl9wcPAdDWG9WxAc801pMZaXlyORSBqQlre3N506dSI7O5uEhAQ8PDwYP348vr6+fygyawssLS0JCQkhPDycuLg4Zs+ezc2bN/ntt9+Amnw7QczRWgifn3Dsb9q0icuXLzf6+Ndee41Ro0bRo0cP9Ho97777Lg4ODnTp0gWoqTSTkpLEVue0adN45JFHmDZtGiEhISxatIiwsDCuXLnCd999B0BGRgYDBgxg5MiRxMfH4+npibe3N48++ijLly/H09OTgIAACgoKOHr0KH/9619bTE4tHTOSy+VYWlqKvq31zcsrKyupqqoSVedC1605wwBhNCX7ds3QuraNnT97M020mYX4gv2VWFpIqGqDwMVCKWXm34MI9u+KwWDg9u3b5OTkkJOTQ3x8PEeOHKGkpESU+Lu6uuLm5oa7u/sf0vVEgL+/P3/5y1+4cOECTz31FBYWFuTm5rJ//37Onj3Ljh076N27N5988gnPPvssycnJuLm58cEHHxAcHHxXQ1jbgvqO+c1J82UymdEvrYeHR4MvtVLZtGO+RqPhzJkz7Ny5Ey8vL6KioowKJ/7oGDt2bB0h1/Dhw/nmm2/E/zs6OhIREYGDgwPz5s1j7NixJCUlERMTQ2lpKT/++CNQM+dqqjSha9euLFy4kMjISKRSKTNmzGDAgAGNPl4ikTBr1izS0tLEcNgvv/ySyspKiouLeeqpp5g+fTpVVVUsXryYqKgoJk+ezIgRIygrK8PHx4fJkyeTnJws2r7l5eVx5MgRfvrpJy5cuEBycjLvvvsuSqWSPn36MH36dAoLC7G2tiYsLIyOHTvWISvBG7S5uVhh3zSm5i0uLq4zmmJtbd3g+Bfa0vXVvC0tMNzsQSlrG/HJZdDVu/V/3xTMNsf3Y2wZuw63fo7PyV7K6mbm+NRqNbm5uSIhCj8KhaJBdejs7PyHkuQbg1qt5sqVK8TFxVFeXk6vXr3o1auXqJS71yCYDJsa/1LbMb85ab45TIY1Gg1nz57l119/xcPDg6ioKFHW/ifahurqalJTU42mffv6+ort5ta29ow9ViqVGiUc+N8MY1lZGRYWFjg5OYkX4FZWVk2K51qSZGFsNKWx32q1Gmtra5O8Sa2srMzeLYtPh3PJbZjjs4CJ/e6jOT6A8ko9C1blUtkK5xalAqIfUhHVu+V1rsFgoKSkhOzsbHJyckRivH37tnhw1v6xsbH5Q7amMjMzOXPmDPHx8QQGBtK7d+87YpItmAyb0mIsLy9vUYvlXnHM12q1nD17ltjYWNzd3YmKiqqz5vNHRHuPGVVVVVFdXd0gbsnS0lJcP22LSUPtMaPKyso6Lik6nU4k3cDAwBZfODY3mlL7e9DYaEpjZHYvncvUWth14g/m3AKQkKpm5ZZC1BrTX0KpgP7drZg9vn29OjUaDXl5eQ2qQ4lEgru7u9gqdXNzw8XF5Q8j7qiqquLSpUttMsnW6/UN4l8aazEKJsOmSPPvd8d8gQB//fVXXF1diYqKwtvbTL2bdoJAUC0xaWjNmFF7Wt5JJBKys7PFajAjIwN3d3dxfdDT07NF1Y1Op6szlF/b5DkwMBAXF5cG5yaNRmOymler1ZpkGHAvjaa0FnnFcKAVXp1+LjCgy33o1SngWnI1q7fVpDM09+YtFBIG9LRixkOqO5LOYDDUjEvUJ8OioiIcHR0bVId2dnb39UHYFAST7Li4OK5fv07nzp0JDQ1FpVI1GwNTWVkpOuabkmX2R2s5a7Vazp07R2xsbLsRYEsk5i0RStROsmjPOdg7OWak0WjqtEVLSkoICAgQiau+OtNgMJCfny8+PjU1FWdnZ/z8/HB3d0elUtVpuTc1mmJKdXa/k1lLkXMbDgnpDM2wjVwKgW7Qt9N9nM4gIK9Iy/5fy/nlXCVAHVcXmRSkUgjwqsnj69H57rsTaLVa8vPz67RLs7OzMRgMDcjQxcXlnmmxNQfBMb+59YLS0lLRZUMqleLg4ICbmxsqlapRK6s/GpmZitoS88rKSlHabmdnR3BwMCqVqlVBtTqdzqQKqTVRS7+3k3JpaanYprx58yYymQwXFxekUinl5eXiTJ+VlRUymQydTicKaEyNP/qjjaa0FGVV/83jywYwoNX/b19JJAakEgkdbGvy+LzvQEDKHUtgL6/SkZpTzcnLVeTk66isMqCQg52tlB5dLOgWYEkHlfyOpO+2FmVlZQ2qw4KCAuzt7Ru0S+3t70yskmAybEqLRXDMN+XLLPgRJicnc+bMGZKSkujatSsRERG/S8WiYBRuyrqTqa292hLz+mRUVVXF7du3sbCwwNvbmw4dOpjc2hPk6H+eaP83mtLc8S/86PV6JBIJer0emUyGXq/H2toad3d3fHx88PPzQ6VSiWreP/dx+6G6Wk1+YQmp+RJKqi3Q6qXIJHos5Fo87avxcrHF1rahH6w5YHbi0+kMXEuvpLRSh76JV5JKQQKE+Fijsr5/qgedTkd+fn4DQtRoNA2qQ1dX12al8fA/JZcpRsP1ZclNtRpbI0sWUFpayrlz5zh79iw2NjZEREQQGhpq0vtpLzSXZNEWFR/Q7hZ3gkCisS+yTqfjwoULxMTE4OjoSFRUFH5+fndsf96rqD+a0ty6sUwmM3r86/V6SkpKyM/PF9NNOnXqRGBgIF5eXshkMtFkW2hzFhYW1gltdXJy+pP82gi9Xk9Wdh6VVdVNjqFIJBIkEgme7i5YWZm382dW4tPqDFxKqaBKo2+2tytAKoEu3lY42t6/ogaoGZwVWqTC7/z8fKytrcUrSmHdo75kWa1u6Jjf2G9jjvnmhF6vJzExkTNnznDr1i26d+9O796963hXCkkW7bXuVF9i3p7CiNoEdbeg0+m4ePEiMTEx2NvbExUVJdpd/V7QltGUplqMtUdTSktLRQKrbfIcFBSEv7+/SSbP5eXlJCcni88DiM8RGBj4h54Rbg10ej230rPQarQm25lIJBI83F2wsTafW5fZiM9gMHA5tYKySn2L/VukEujub42N5b1d+dWWJTc3MK3VarG2tsbCwgK5XC6KEyorK9FqtTg6OuLq6oqHhwfe3t64u7uLA7DmQmMS88YI68yZM6xevZp169ahVtdYdN2+fZuysjKkUim7d+9GpVIxdOhQZDJZi6onU6up3/Naok6n49KlS/zyyy+oVCqGDBlyTxOgQGamVGVNjaYYq9ZMWTdXq9V1RCyC4YLw4+jYNlt/wWS7tuhl06ZNPPTQQzz99NMcPnyYTZs2ERsbC9T4dF68eJHAwMA2ve7vBQaDgfTMHKqqqlv8txKJBB8vdywszNNRMhvxFZVpuZ5e2WR7synY28gI9b3zV1fCCd3Yl/mnn35i7969ZGVlYWFhgbu7OyNHjiQsLKxZNWNTSq7KysoGrdK8vDxsbGzEFqmzs7OYeF27mrpy5QpvvvkmV65cwWAw4OHhwYy5M0BaAAAgAElEQVQZMwgPD+fcuXOsXbuWtWvXGiU3rVaLTCZrknCaIyghmDY9PZ2FCxdiYWHBokWLiIiIqKOe27x5Mxs3bhRPEn+icej1erECtLOzEyvAO1HZGxtNaex3RUUFSqWyDmmdOnWKvXv3kpaWhq2tLaGhoSxatIgHHnigzaMpBoOBrKwskYgyMzPx8PAQKzIPD49GW/kzZ85ky5YtfPvtt4wbN068ff78+bz77rts2rSJmTNnNvn6Op2OAQMGMGDAAEJCQti/fz+XLl1i8+bNBAYG4ur6+w/ObgnKKyrJys4z2WWnPqysLPH2dGv+ga2A2fqJGQXVrSY9gJIKHdUaPRaKtkmgBZNhU90PDAaDUfI6ePAg27dv54033mDUqFF06NCBI0eOEBMTw5w5c4C6EvOKigrxJFJcXGySUKK2Kay1tTVVVVUkJiZy/fr1OqawcrkcCwsLLC0tWbZsGaNGjeL5559HqVSSlJSETCbDzc0NDw8PFAoFf/nLX4wSVntKzL28vOjYsSNOTjWSrE8++QR3d3ciIiLo3Llzu7zGHwVSqZTw8HDCwsK4dOkSP/zwAzY2NkRFRbXKZECv1zc5klL7Aq/2aEr974Gzs3OToymrV69m8+bNbNiwgZEjR6JUKtm/fz+HDh1i1KhRLdpmwez49u3bdYbHbWxsCAwMJDIyEn9//xatMXfu3JktW7aIxKfVavn6669N9gKVyWSiv+hjjz2GXq8nKSmJgoICTp06hVarFavNoKCge9YR6U6hqKi41aQHNTPGGq0WhRlmec0TS6TWU1rZ9jyJ7CI1fq4N+/K1HfNN+TJLJJIGLRZLS0tUKhUuLi6iSk5QedVv/xUVFfHhhx/yf//3f6hUKo4dOybe5+Xlxdtvv82PP/4opqNfvXqVCRMm4Ofnx9dff012djZKpZLIyEj++c9/YmNjw86dO9m6dav4njQaDePGjeOBBx5gw4YNHD16VCSo9957j9jYWPbs2UNVVZXoRpOQkEB+fj4BAQGkpKTg7u5O165dcXNzw9bWlqeffprq6moxiDYhIYEFCxbUSWI/evQo06dPJz09Hajx+nz88cfZunUrWVlZjB8/nvXr12NpadngsefOnWP27NncuHGDBx98UIyUGTFiBH/961+Jj4/nxIkT7Nu3j9zcXNFloz4yMzOZO3cusbGxdOjQgUWLFjFnzhwyMzMJCgoiIyNDrB7PnTvH8OHDycrKQqFQNJpg/XuAVCqlR48edO/encuXL7Nv3z6sra3FCrC2A05TrfbKykosLS2Nqnnrp0a0djSluLiYf//732zatIm///3v4u1jx45l7NixQE0A8rx587h69SpWVlZMnDiR1atXi+QlkUhYu3Yta9asoaqqiqVLl5KamsqBAwdISUnB1dWV119/ndGjR3P69Gl8fHzIyMgQK8ldu3bx2muvcf78eaPbOHbsWLZt2ybO6e7fv5+wsDAxhBnglVdeITExkW3btgGQkpJCQEAAGo2mQcWqVCqxtrZmzJgx4vbv3r2b69evs2vXLr755huSkpIICgrioYceIiYmRux4zJs3j927d1NcXEynTp1Yu3YtgwYNErchPj4eS0tLvvnmG3x9fdmyZQsREREt/lzuFjQaLVXVLW9x1obBALdvl+Li3P5JtGYhvpIKHW3OZjBARm4p18//QmlpqfglrqioEGfMBFsiYe2ndmSGQHaWlpZotVo0Gg0FBQVkZWXVkZibouRLS0tDo9Ewffp00Yev/mOF7K6vv/6acePGUV1dTXx8POPHjyciIoL09HRGjx5NSkoK8+fPZ/jw4Xz44YdATT5ev379mD17NsOGDWPJkiVkZ2cTEhICwPbt21m6dClQ42gvRLtERETwyiuvcPbsWaZMmYK3tzc6nY74+Hiys7OZNm0au3fvZvPmzbi5uVFdXY1Wq21232/fvp2ffvoJGxsbxo4dy/Lly0WiFKBWqxk/fjzz58/nqaee4ttvv2Xq1KmiobVcLicsLIywsDByc3N58803ycrKYseOHURERBAUFCRWm1OnTiU0NJTMzEyuXbvG8OHDCQwMZNiwYURGRrJr1y6xqv7888+ZNGkSCoWiQYL1ihUrmDp1qujuf7+h/mhKfVKzs7OjoKCA7du3YzAYsLCwQKVSYWdnV4e83N3djTrmmxPHjx+nqqqKCRMmNPoYmUzGmjVr6nwfPvjgAyZNmiQKSdatW8fzzz9PcHAwfn5+DBkyhFdffZXo6GguXrzIiBEjCA0NpU+fPjg5OXHw4EExJHbbtm1ER0c3+vqWlpaMGzeOL774gieeeILPPvuMGTNm8MEHH7TbfujevTsdO3Zk165dBAQE8M4773D69GneeecdXF1diY2NJSgoiIiICP79739jb2/Pu+++y+TJk0lJSREFOHv37mX37t1s2rSJpUuX8tRTT3HixIl2205zo7KqCtrMAjWm23CfEJ9WZzBZxdkUqqo1nD59GrlcLhKRMDMnRGq0RmbeEpNYgPT0dJydnenZs2ejj5HJZERGRjJ+/HigZhi2d+/e4v1CJXXs2DHmz58v3l5ZWcn48eOZN2+eGA47ZcoUtm3bxuuvv86VK1dISUkRryprQyKRcOTIEVasWMErr7xCcnIyAwcO5JNPPqFTp04cPHiQffv24e3tTXZ2NlevXuXq1avk5OSwfft2XF1duXXrlpinJVzpP/XUU2L47JIlS3j66acbEN+JEyfQaDTMnz8fiUTCpEmTWL16tdF94+rqSo8ePTh16hRdunTh6NGj/PDDD/Tu3RsXFxdiY2P5/vvvsbS0JDw8nMcee4ytW7cybNgwpk2bxueff86cOXMwGAx88cUXbN++HYAPP/yQF198UbxAWLx4MW+88Qapqan3TNWn0+lMjj8y5phva2uLSqXC09OzjidjSkoKsbGxKJVK+vfvT8eOHe/q+pKQ+9jUOp7wfSgsLCQvL4++ffuyceNGrKysREHIBx98wIgRIwD48ssv8ff3Z9asWQD06tWLiRMnsnPnTkJDQ3n00UfZtm0bo0ePprCwkJ9++on//Oc/TW7njBkz+Ne//sW0adM4duwYW7ZsaVfig5rPfPfu3Vy+fJkuXbowcuRIysrKOHjwICUlJezatYvKykqOHj1KYGAgjz32GMuXL+f69etid2bgwIHi+SA6Opq1a9e26zaaGzqdvk1tTvF52rJe1gTMQnwSCe1B9kgkEry9vZtVgZlb6efk5ER+fr647tAY6ieVC63FuLg4KioqRC/M2pg9ezZdunSpE/3z6KOPMnXqVJYvX87WrVt5+OGHG1V4ent7s27dOqCmcvznP//JjBkzOH78uFgJ137NY8eO4ezsTEREBDk5OaSlpVFZWcmKFStwcnIS14Ju3ryJm5sbfn5+ZGZmNnjdzMxMvLy86pxsmyMbiUQiJkJkZmYSFxfHF198gY2NDfn5+dja2iKRSPDz8yMuLg6ASZMm8fTTT5OZmcmNGzeQSCRiSyg1NZV58+axcOFC8TUMBgMZGRlmJb7a4yfNqXmNjabY2Nhgb2+Pp6dnneO4JaMpYWFhdO/enfj4eA4ePMixY8eIioq6awTY1HeksrKS5ORkfvnlF95//31u3bqFVqvFYDDQs2dP5s6dKz42ICBA/HdqaionT56sk0au1WrFqm769OmEhIRQVlbGV199xaBBg5o1Vxg4cCB5eXksX76cMWPGmCXgOi8vD61WW+d8EBAQgJWVlUhmy5cv57nnniMnJ0ccwt+3b58oXhNS2wFxvb+588+dQv3RlNrHe1FREcXFxTg5uxAc0q3N22uuQ9kse1EhkyCRNO/L1hxUtlYMGjSozo4tKChocKIRlGWmzP205oOIjIzE0tKSPXv2MGnSpEYfV/+E88QTT9CzZ0927NiBnZ0da9euZefOneL9K1as4Pr16w2Ujv3790epVBITE8Pnn3/O559/btJ2+vj48OSTTzJ16lSj2wOIg71dunShS5cuZGZmYmNjw/PPP09ubi6vvvoqKSkpxMTEkJOTw40bN1CpVBw4cIC0tDT0ej1arRYPDw8yMjIwGAzi66SlpZksFPD09GTcuHGEhISwYcMGvvnmG5RKJb179+bmzZtimoGDgwMjRozgq6++4urVq0ydOlV8PR8fH5YsWdIuCdbGHPMbI7Pajvm1jzdHR8c6F2rmdsyXSCSEhobStWtX4uPj+fnnnzl69ChRUVF06tTpjhJg7e/IhAkTSE9PF9WXeXl5+Pr6snHjRqKiolixYgUqlarB90F4TwJ8fHyIiori4MGDRl/Ty8uLyMhIvvnmG7Zu3coTTzxh0rZOnz6dV199lSNHjjS4z8bG5r/ttRpkZ2eb9Jy1IZjcp6eni8KuW7duiffHxMTw3nvvcejQIUJDQ5FIJKJi+/jx4xw/fpyKigp++eUXAgMD0evbrpdoDo2lphjrTlRUVIhqcKlUWmduV6FQYGdn125+pDKpeYoasxCfg628zaQnlYCXszXuHRyafJyxWSLh961btxrcrlAoTDaTFWaJ7O3tefXVV3nyySeRy+WMGDEChULBzz//zJEjR1i5cqXRbSstLRX9La9du8b69evFJOgff/yR9957j5MnTxq96pwxYwZPPfUUcrmcgQMHGn3+oqIi1q5dS3R0NIGBgRQWFvLpp5/Sv39/oCYtuqCggOLiYuzt7QEIDw9n1apVLF26FLVaLbZQFAoFXl5eKJVKjh07xgsvvICVlRVjx45lwoQJWFtbk5GRQWVlJW+99ZboMTl//nyeeOIJzpw5w6lTpxg6dGiTn5WwPiugU6dO/OUvf+HmzZvMmzeP77//ng0bNrBw4UJu3bqFt7c306ZN46233iItLY1Dhw6Jfzt37lxeeuklwsPDCQ0Npbi4mAMHDjB58mTA+GhKY791Op3RCycnJyd8fX1NHk25G6hNgFevXuXw4cMiAXbu3PmORE1pNBpmz57N7Nmz+fbbb+nXrx+dOnVCJpNRUFDAiy++yLvvvou7uzt2dnYNvg/GMGbMGF544QW2bt3KI488AsD58+extbUV29szZsxgxYoVpKamNrm+WBvPPPMMgwYNYvDgwQ3uCw8PF481e3t73nzzzRbvD5lMxt///ndeeeUVNm7cSFpaGp999hm+vr5AzXlBLpfj4uKCVqtlxYoVlJaW0q1bNx544AESExO5ePEilZWVfPfdd6SkpAAQFxdHly5dTJ5PFNS8prTZa6emWFlZIZfLkUql4oWu4KRTVVWFg4MDHTp0wNHRUfwt/AjnTJ1OT3JqepvanRKJBJXKPBHsZiE+uUyCk52c/JLmhRRNwcWh+SFWiUSCtbW1SY4KwonX2BVNenp6g6t7IaXb1tYWb29voqOjWbRoEVOnTsXW1pawsDD+9a9/iZZX9fHOO+/wz3/+k5UrV9KzZ0+mTJnC4cOHgZr1i7y8PPELDDVXohs2bABq+vovvfQSL730UqPvR6lUkpKSwgMPPCC2CocOHcr7778PQHBwMFOnTiUwMFAUvURHR/Pzzz/j7+8vrp+sWrWqzvNOmzaNESNGkJmZyd/+9jdWr16NtbU1Wq2Wjz/+mEWLFpGXl0eHDh14+eWX+eijj+jcuTNdu3bl4sWL7N+/36iJ92+//daA5DUaDTt27GDu3Ln0798fR0dHXn/9dSIiItizZw8KhYLQ0FBu3LiBr68vISEhFBYWUlZWRnBwMJMnT2bs2LFkZ2djZWVFSEgIWVlZRkdTasvy/f3965DZ78FkWCKR0LVrV0JCQrh27RpHjx4VCbBLly7t+v7qO5xIJBKGDRuGh4cHX331Fbt378bOzo7evXuzZMkSoOnvgzHY2dlx4MABFixYwIIFC9Dr9fTo0aPOWvKECRN44oknmDBhAjY2pp0kO3TowLBhw4zeN3z4cKZMmUJYWBjOzs4sWrSIvXv3tmDP1GDdunXMnDkTd3d3unTpwtSpU8X2/ciRIxk9ejSdO3fGxsaGZ599tk5bVCaTYWdnx8iRIwG4fPkyK1euJD09ndjYWBQKBZ6enuJ4iXCBV5/gBDVv/e+A0FZ3cnISzdMFMwrhu1Wf0IT/29nZmSSUksmk2NpYU1pW3uJ9VxsqO/OMhJgviLZKx6WUilbN8kkAF3sFHT3vXlKD0Hc3dWSitl9gU+uRtra2Js0eVVZW4urqytmzZ+nUqdMdeMc18Pf3Z+PGjTzwwAMt+juDwVDHxFuwaSssLBTTHWr/qFQqJBJJndGU+hcjpaWl5OXlUVBQQFVVlajWra1ibKxiF/bz/U5mbYHBYOD69escO3YMg8FAVFQUwcHBrdonWq2WtLQ0MeGgqKgIf39/cW7tbnpaBgUF8eGHH7b4mL2TWLRoEdnZ2WzZsqXBfUIahCltdmHOUi6Xo9PpREGUi4sLXl5e+Pj4YGdnh0KhoLq6mpKSEoqKiigsLKSoqIiioiJKSkqwtbU1SmxCy7U9UF2t5lZGdqurPpWdDW6uzu2yLfVhVq/O5Owqcm5rWkx+SrmEHgE2KOT3x0mrvkN8c7+NzRXWJ8ctW7Zw6NAhjhw5ckdPKK0lvtqofdFQUlJCVlYWubm5FBQUUFJSIg73C60UqVSKtbU1dnZ2oo9pfTIDSExM5MKFC2Il0a1bt/smEupuwmAwkJCQwLFjx9Dr9QwePJiQkJAmjyuDwUBubq5Y0d26dQtXV1dxOFsweb7b2LVrF4sWLSIhIeGO5f2ZgitXrlBcXIyfnx/Hjx9nzpw5/Otf/6JXr14NzgfV1dVGU1MaiwAT1tXKysrIy8vj5s2bpKWlkZ+fT3V1tXi/g4MDzs7OdUitQ4cO2Nvb3zGRTF5+IcUlZS0mP5lMhp+Ph9mOMbMSn8FgIDGzioJSrcnkp5BJ6O5vjaXy3jmI2xONOcnUvsJ78skn0ev1TJs2DQ8PD5OSF9qrXdcY8RlrEze1ZiC0iRsjeKlUSlVVleien5OTQ35+PiqVqkF16ODgIL4vwSQ7Li6O9PR0unfvTkRERJNrRX+iBgaDgRs3bnDs2DG0Wi2DBw+ma9eu4r6tnVuXlJSEQqEQiS4gIMAkk+c7iSFDhhAfH8/WrVvFtqA5Ud9MvilFb1JSEjt37qSkpAR7e3tGjRpFdHS0ePzXF0AZI22tVsvt27fFSq121Xb79m2USqVIZsK6m6WlJSUlJWRmZnLz5k2k/5+9M4+Pqry//3vWzGTfE5KQlbCFPQGNrC4sirhbFZeq1Rb4iiBaq3UprVQR97oXbRUE/YlLrUURqGVHSsJmDDtJyEL2ZGYyk8x27++P9N7OJDPJZJmQaM/rNQyz5M527z3P83nO5xyl0u037GuTbVEUqaquo8ls8Zn8VColSYnxaP04qPV7LJEoilTU2SirsyGKeCRAxX/+CQtUMSRBh1b94yS97sCVJDuTzntKgfZWcpVOYp4c8z1t32xudcz3dfvdmYk5nU7q6uralUttNptb1qHkX9rc3MyBAwc4ePAgUVFRZGdnM2LEiH4h+e7PEEWRU6dO8a9//QuLxUJsbCyNjY2YTCY5qTwjI6PHJs8DAQ6HwyOReToGpNYUX44BX9W8zc3N7UhNum02mwkNDfW43hYeHt6pib2ULC+Vp6Vkeak8PXjw4D45VkRRpMFgpKHegPif256gULSaDMTHRqNW+7ea0GdBtE6nQFGVg3MNdpSK/8pzBRECAzQMT9L0+zSG/g673Y7JZKKurk4+kIxGoyxBbmlpkb1ApZ9doVCgVqvRarXo9XoCAwMJDg4mLCyM8PBwoqKiiIyMJCQk5LwRisVikW3apJinmpoagoODiYuLIzo6GqfTSWlpKQ0NDYwdO5bs7Gw3k+z/4b8mz9KMrqysjPDwcLk8dvHFFzNq1Kh+VTLsDux2u09LDmazGYfD0WEVxfW6O60pUiagK6FJIpKGhgZEUfS61hYWFtarv4XT6fTYZiINdGJiYvy6rCIIAiUVZgxGIzqNA+V/XsruVOBUBJGZHIpe1zdLF31CfGcqRXYdBbMVnE6pr116WQWa//DdyMFw0fBWVej/8F/4IkuWrl1lyR2tIUqjRW8qV08jXV9Krn2VDygIAvX19e1SLcxmMzqdTpZdS6XQn2qOmsFgkE90RUVFBAYGyie6lJQUAgICEEWR06dPs337dlpaWpg2bRpZWVn9igB7q/LR9v7eaE2x2+0eZ21SSTIwMNCrStKffZ6dQTIWkPYPp9PpFuvUmybbPxQ7+HK3DYNZxO5s7fFWKsT/VAAVaP8zpp40Qs3cC7VoNf79TvxOfPtPiuSdAocPPZgqJYQHwbUXgl774yY/T475HSm5PMmSvY1Me3tBuG0ifEcnHkll5suJx9vaRk/Q0tJCVVUVFRUVHD9+nHPnzmGz2QgICCAhIYGkpCS5XBoZGdmvTu69AavVSnFxsXwya25udjuZSf2cniCKImfOnGH79u1YLBamTZvmtxmgL2vdrve7tqb0xVp32/dqNpu9ztqkQZa3mdtAKL2LokhDQ4O83xQXFxMWFiYPkpKTk7stJPvnARtb8uzYfehuU6sgJkzBwmv0BOn8xwF+Jb7DRSJ7joPDsym/RygVEBkMN04eeDM/T7Jkb9ctLS2yY35nB3J3HfPPBySj5Y4EAA888ADXXXcdycnJXVazdQeVlZXs2bOH48ePExISgl6vl99PTEyMvH4YHx9PbGzsgJodCoIgCxnOnDlDZWUliYmJ8gkrPj6+yyQgiiJFRUVs374ds9nM1KlTGT16dKfff0/VzR1d+6M1xVXI5XQ6MRgMHmdtDQ0NqFQqmcy++uor6uvreemll+RlgB9b24wgCJSXl8v7VVVVFUlJSfIAytf9atf3Nv6x1zfSk6BSQmyEgiXX6/2m7Pcb8RnMIut2gLMbbjsqJYxNg8nDz//O5MuJXBqpdlWWnJ6e3uPWAeidFoTe3I6vr3PxxRd3a6Dgy8nS00naZrNRUFBAXl4ezc3NjB07loSEBIxGo1u5NCAgoJ2yNCoqqt8MPlxH5kVFRYSGhrqVL3urxUMiwG3btmE0Ghk1ahRxcXHtyu6u/1cqlb3Sz5qamkpVVRUqlUrOlHzrrbfa+eF2BVar1Y3YrrvuOu68804SEhIwmUyEhITIs7Q33niDrVu3otVqCQgIIDs7m1dffZXhw4e7bdNTbNGPMXS5paWF4uJieX1YqiRkZGSQnp5OaGhou7+pMwg891Ez9i5MfCSoVTBltJp5F3Us4Oku/DYHP1Tcfa9OpwAFJXDhUBGVsvfJrzdKd20d8/1VuvsxQ3KoCAkJ6fS5HZWGq6uru1Qavvjii2lububkyZPs27dPjomRDIQbGxtlEpQcUIxGI9HR0e0I0Ve3kJ6gpaXFbS3GbreTnp7OsGHDuPzyy336/lzRkYORp2NAEj/l5eUhCAKJiYkkJyfLJtuux0Bv9lV++eWXXHbZZbS0tLBo0SIWL17M3/72N4/PdTqdKJVKTCaTV5Wkw+FwK0OqVCpGjhzJvHnzCAsLcxvYSP2BK1aswGKxcO+993LnnXcOqGig3oROp2P48OEy8UsBwadOnWLz5s0EBQXJJCgFBO/6vus93BIcTtj7g4PLL9D6pfLnt1iio6WeWxd8hSjC6UoYmuDja3ZDltx2FBoeHk5SUtJ5EWu4oqGhgdtvv519+/bhcDiYPHkyb731FklJSf1yOzNmzGDq1Kl8++23HDlyhNzcXNavX090dKvrwtq1a3n88cdpampi2bJlXXptCUqlUv6tOkNHYqDa2lq3/cJqtXLixAmOHTuGQqEgOjqahIQEwsPDCQ0NZdCgQUyePBmtVovZbJbbLY4fP05VVRVqtVpur5DKpdHR0T2aHUrqO2l0XV1dLavvJk6cSGxsbLt9siPPWk/X3jxr25pst21NKS4uZvv27Xz//fdMnTpV9uP0J3Q6HTfccANLly7F4XDQ0NDAr371K6DV/Pn777/n3nvvxWAw8M9//pP6+nqCgoK48sorWbZsmTyL++yzz3jiiSfk/VCr1ZKYmNip+jcwMJD58+dz0003Ae5htZLfp5QgsWXLFhYsWIDdbic4OFhOkf+xITw8XE5aEQSByspKTp8+zd69e/n000+Ji0/kmPUanELP9o0jp51MGDpAEthLanq+DbsTDhcJxOiNPjVMe5MlR0ZGkpyc3GNZcl9CEATuuusuPv74Y5xOJ3fffTf33Xef19Fuf9jO+vXr+frrrxk8eDCXX345zz//PCtXrqSwsJCFCxfy1VdfccEFF/Doo4/KCe7+gitJxsXFdfhcyZW+qamJoqIiCgsLOXLkCJGRkYSGhsrCBumi1WrlfSk9PR2NRoMgCDQ0NFBeXo7RaMRkMhEVFdVudhgcHOxxvxNFkbq6OnlGV1JSQmRkJGlpaeTm5hIeHi7P0M6cOcORI0faHQMWi8VrSklkZGS7+7sruJA8XktKSti+fTs7duxg6tSpjB07tlcIUCJwp9MpRxlVVlbyyiuvEBoaysqVKwkLC6O2tpb8/HxefPFFpk6dSnBwMMePH+fXv/41WVlZFBQUMHPmTK655hquueYaCgsLWbRoUbf2w6amJtatW+cxj3PHjh2kpaXR2Ngof6dvvfXWj67U2RGUSiUJCQkkJCQwdepUbDYb2/ZXcexIz1bRrHbYXWAfOMRnbunZbE9CeZWB9/evaXcguzrm96Ysub8gKiqK66+/Xr792GOPdZh60B+2c9ddd8kRLD/72c9kY99PPvmEK6+8Uh4ZP/XUU3J+YH+AJLAICgoiLi6OCy+8ELPZzKFDh8jPz0er1ZKTk8Po0aPRarVec8jMZjNOpxO9Xo/T6aS2tpb6+npOnjwpx7YoFAqCg1uDZQMDA+WQ2rq6OgB5dhUaGorJZOK7774jICDAI5lFR0e3q1j05RpkSkoKd9xxB2fPnmX79u3s3LmTKVOmMG7cuE7fhyAIGAwGj44kDQ0NQCiUw0QAACAASURBVKvUfvHixajValpaWoiKiuKzzz4jNzcXpVJJfn6+HO4sQUo/gNa8wltuuYXt27dzzTXXdGs/fP7553nttdfQ6XRMmjSJ9957r5vf1k8LWq2W4LB4lEobzm6s77nCYB5AQbQOoedZfAAqlYaAwEA0Go2sGJOuTSaT17R1T/d1NXX9fMJisfDAAw+wadMm+URgMpncUtL723baBmc2NTUBrYG1roIEaeDSnxEUFMTkyZO56KKLOHPmDPn5+XJ2Wk5ODvHx8W4WaYIgtCunm0wmjEYjjY2NbrOyxsZGj6UvhUJBU1MTer2e0NBQ4uPjZTf8tsTni8l5XyE5OZnbb7+d0tJSNwLMysrCaDR6VEkaDAZ5JipZbY0cOVJef9Pr9bz11lt89NFHsuLyiy++YN68eRQWFsr7Wluhy759+3jkkUcoKCjAZrNhtVrliKru7IcPPfQQK1as6OVv7KcBm11AEEX+48vVbXSlI6Ar8AvxBahb2xJ6OusLDdYxc+KV2Gw2t4vdbpf/bzab5duu97d9riAIXknR9XZHj3m6T61W9zqhvvDCCxw/fpx9+/YRHx/PoUOHGD9+fJeNXvvDdgYNGsTRo0fl2xaLRZ7h9GdIat7AwEDGjx/P4MGDOXXqFH/961/lJA5AdsTR6/XtZmUqlYqAgABZcBMTE8OQIUMYMmQISUlJqFQqHA4HNTU1lJeXU15eLrvSVFVVERgYKId9CoKA1WrFYrHIM0df1K3+SqiQTJJdZ21BQUEYjUY2bdrExo0bCQ4OJj4+nqioKKKjoxk6dCgRERGEh4d3qdQq5dv96le/YteuXXIYdNvPNX/+fO677z6+/vprdDodS5cupba2FvDffujpux0oA+yewmq1em3cr2lJQgi6BBQ9Ezvp/DTG8wvxxXWcHesTFApIjlWTkOCjuqUTOJ3OdsTY0W2DweB2nzdSdTqdMhF2RJKeHrPb7Zw9e5aTJ0/KzwkMDKSxsRG9Xk94eDj19fX8/ve/7/Tz2e12t5BXtVqNyWQ6b9uRcMMNN3DBBRewa9cuJk2axJNPPtknidKe4Nqa0pn7h6TmdSWRuLg40tLSaGpqDTmuq6sjKyuLSZMmERcXJ6/BnT59moKCAtRqNRkZGUyZMoW0tDSPcS9qtZpBgwYxaNAgcnJy5PubmtwjnqqqqrBYLISFhRETE0NYWJjcrC2JeSorK9t9FlEUfeoV9dQr53Q63Rq12140Go1bo3ZaWhoTJkwgMjKSxsZGdu7cSVVVFZmZmUyYMKHb64qiKPL3v/+dhoYGt/zKtjCZTLJR87///W/Wr1/PrFmzAP/thzExMSiVSs6cOSOX+uPi4igrK8Nms/Wr2XlXIYqirJL11Lhvt9vdmvZjY2MZNmwYkZGRNDtDeO1ze7daGSQoFZCRMIAS2KNDFYQHidSaur8NpQLGpfXee1KpVKhUql53mBcEoVNCdb3PZDK53f7FL37htr1LLrmEiRMncvToUcLCwggNDeWSSy4B4C9/+Qt6vb4dqba0tMhSfAkLFy7krrvuYteuXURHRxMfH8/SpUs7Fba03c5jjz3G0qVLmT9/vqx4fPDBB30WyGRlZfH6668zf/58zGYzy5Yt67KqtCN05pjvem2z2eTWFFciCAsLayfN96U1paamhu3bt/Puu+/K92VkZJCRkcH06dN75BUqvceMjAz5vrYm3iUlJVRVVWGz2WRl6ZAhQ2QxjVarlbMO234f1dXVFBUVYTKZMJlMMklK5CQIAk6nU7a/CwsLk8ktNzeXuLi4Do+lkJAQ5s+fT3l5Odu3b2f37t1Mnjy5SwQ4b948eYkiJSWF999/n6ysLK/Pf+ONN3jwwQe57777mD59Oj/72c/ksrK/9sPAwEAee+wxJk+ejN1uZ9OmTVxyySVkZWURHx+PUqmUZ539Ea4JEJ4GOAEBAW7kJrX+REREeBVrSYiNcFBe2/2yn0oJ08b4x7vTbw3sJ8pFvv2ebjN+XBj8bMpPo2TgCaIodkig3u7z9n/X+6S+rN4u/fZWD6PdbvfZNMBut/vs/tFTNa8oirJs+8yZM5SXlxMfH09qaipqtVo2/h03bhzZ2dl9lm5gsVjaeZbW1NQQEhJCXFwcYWFhMpFbrVa3E50gCPLamiS6kUr4giB4bZFwOp0+f+86nY5z586xfft2zp07JxPg/7IU/Q+pZ9OV1Fz/bzb3LAGiIxw86WDDNitWe/f+fnCMkqU39k4oblv4jficgsi67WBs7rrQRa2EqyZBYtRPl/j8BYlQfSHVjkjU022lUumVFF3XQkVRxOl04nQ6cTgc8rZaWlpoaWnB6XS6zcw8mQtL9/lbzWs0GmWiO3PmDHq9XnasSE1NbXdikGT2hw8fJjExkezsbIYOHepXYwPJJNn1xFZfXy8H/6rVapRKJU6nE0EQCAsLIzY2Vk7s7mz25u01ffXZdDgc8u+pVqsxGAyy88fw4cMJCwvrtcHJTxGuCRCeGveBPkuAcIXDKfLcR83UG8Uu6z00KrjnSh1DEgdgEG1Ts8hHu6DF7jv5qZUwNQtGJf9v5+/vkMpokorRZDJhMBjk0pnZbJbFH06nE51OJ5OgVHp2Peik8prT6XQjVaVS2aX1U19UvpLS19NncjV5NpvNsj9hRkZGhybPrrDb7RQWFpKfn09jY6Pc7OvJ2qkzSL2G3k5szc3NsjrS06jddWbV3Nwsrxm6riFKa5iuuYe9ZeLtWo6W9pdz585x+vRp2SpMqVR6NJfwZnB+vswlzhdsNlu7391VJdtfEyAMTQIvbmjG0oUWN40arp6sJTdrAAfRNrWIfL63NZKoo7KnStkqfL10LAxN+GnszP0NkmO+LyVGV+GELyWv7jrmS7NDX8q8XZ2lAm4lWmn2qdPpCAkJITw8nLCwsC6TatvWmaqqKvLy8igoKCA1NZXs7GwyMjLaCUk66m1TqVRuJzXXE1toaGiPTmxSA76niKeYmJh2jfieRDrdRWVlJTt27KC0tJTc3FzGjRvntdTddv9rK0DqSMDTE5PzvoBrAoSnwY3Vah2wCRAGs8Cbf2vBaBE7LHuqVa0c8LOLtUwY6t8yeJ/k8QmCyJkqOHAaak0iClrZX6Fo/aAqlYKxqTAqGb9GUfwU0dYxvzM1oyepvDejYX9J5f2NhoYG2WewqKhItuoaNGgQUVFRHgVLvih8pf97a52RvCSlHki9Xo9KpZLLvBLhupolR0ZGEhsbKwcB9+X3bbVaqa6uprKy0k1dqtPpPJp494RYqqqq2LFjByUlJeTm5jJx4sROFZGSSteXkqvUctLZvi3d5w+SlFSy3lSSarW63axN2gcGegKEUxApLHby7QE7FXVOVAgIoqKVAxSgUimZMkZDbpaa0ED/D1D6hPgcTpHyeoEzVQLmFmi2KXAKrcpNjRr0WpHEKAVpsSqC/0d8nUJasPZ1jUXqO/NF1j6Q5dfeIJk8S60GNptNNtRNT0/vssmzN0jy77q6Ompra6mtrZVPdEajUbbVk4Qm0u8TGhpKdHQ0AQEBOBwOr4Tak9aZzgRMvp5URVF0M/GWLkajUZ4duvqWdjXiyZUAL7zwQiZNmtQr+6RkMtBZNcNsNssm595Ism3KimvJvKWlxatCsm0CRNtZW28rzvsTRIcdZ8UpHMUF1JrVVDSH0uzUoFE4CdVaSdPXoElIQ50yCmVwL/TDdYI+KXXuO+nA4ey8xqtUwNAEJWmx/SP+pS8heRT6Is2XHPN9VdX91NRzTqfTLUusurqawYMHy+t0nkyefYUk//bW2xYQEOB11B4UFNTudZubmzly5Ah5eXkAZGdnM3bsWI/lxLYz0d4q/TocDjelb3fWUyXnGalcW1tbS01NDRqNpt3s0BcT7+rqanbs2EFxcTEXXnghEydO7JHCsCvwlATiet3Y2IjJZMJischr0AqFAkEQEEVRJs3Q0FAiIiKIjo5m0KBBxMfH/ygHlp1BMBuw7f8aHHYQOgrmU4BSiWpINppU720rvQH/iltaRPYed/iUvi5BqYSMOCVD4gc++bk65ndWYmxrgNxRibGtY/5PHaIoUl9f75YeHRER4ZYe7esaiPSbeVtrM5vNck+bp1F7d09soihy9uxZ8vLyOHnyJCNGjCA7O5vExES/l7g8tc50pTe1o8dUKpVconVV82q1WtntRlpPlcrnrqRqsVj4/vvvqaioYMKECUycOFEWw/gLdrvda29bY2MjOp1O/r3Dw8PlSolare4wv9PVSLyzyktPjMT7EwSzAdu+L1tJz1coVajSxqDJGOe39+XXdoZtPziwdSF5V4JSAePTVMSG9b/FaE+9TU1NTbz55pucPXuWe++99ye9o/cmFAoFJ0+eZMiQIe0es1gsbhl1giC4lS8lSzFPkOTfnmZtrvJvTyq50NBQv4skXE2ypRDU0aNH99mMp7cgmXO3JcXm5ma5FCypEk0mEwqFAp1Oh06nk5W/CoUCu90uV0McjtYTilKpJCAgwKf+U0+zVGmAI83sJEVyY2Oj7JDjTSXraXBz5513kpSUxIoVK9i5cyf33HMPx48fb/d9+GMgLLWJ9DeITgfWXZ+Atbnrf6xUoRkzA1VscufP7Qb89m1VNIjdSl+H1pLo8QpnnxFfZ6WNpqYm7r33XtmbUmoCl0ocixcvRqPREBQUxAUXXOC2g3bXMT8vL4/ly5eze/duRFEkISGBa6+9loceesgvjdGuGWMd4aOPPuKll16ioKCAoKAg0tLS+PnPf87ChQs7nZl4Sqv2FQ6Hg9LSUrmfrra2lpSUFDIyMsjNzSU6Otrt9TuTfwcFBbmd1EaMGCH//3z3krU1yc7Ly2tnkj0QoFAo0Gg0ZGZmymnqwcHBzJkzh9dee43g4P9mK0rro23XDhsaGoiIiJD7DfV6PadOnaKkpIQJEyYwevRoFApFu5mn1WrFaDRiNBrd1u7Ky8vZtGkTZ86cwel0EhwcTGZmphxtJLXOSCVti8VCdXV1p2ulDQ0N6PV6iouLSU9PZ9euXRgMBvk5EokHBgYSGBhIbGxsh99dR0sfZWVlnS59eGsB6culD2dlUddmeq4QnDhO5g0s4hNFkTNVzm4TH4DFCkaLSGhg905Avi5mNzU1yYo6T4vZsbGxBAcHy+q/wMBAMjIyeOedd7jsssvk11u+fDk2m43MzMzuf+j/YM+ePcyaNYvHHnuMd999l7i4OM6ePcu7777L4cOHmTFjRru/kdZp/IkXXniBVatW8frrrzN79myCg4M5dOgQzz//PL/4xS96dUYiDTIOHjzIvn37OHv2LDExMaSnpzNr1iwSExNlIUFFRQU//PCDR/m3NGqPjo4mMzNTHrX3xxFyWygUCtkCzWg0cvDgQT788ENCQ0PJzs4mKytrwJS8pTT1yspKZs+ezTPPPMMf//hH+XGFQkFoaCihoaFux5DD4aC2tpaqqioqKyspKiqisrISQRA4dOgQ3333nSykEUVRnskbjUa3BIiUlBRMJhPLly/njjvu4OuvvyYpKYnq6mrWr19PfHw8N910k0dP345Kv5IVnsFgQKFQsG3bNo9/D/TIJUkaqHlqnQG8it3Ky8vPm9jNWfQ9OLtR8vsPxOYmBGMtytDobm/DG/xS6mw0C/z7VM+IDyAhQsHY1P+eoPwhX5bIrCvlq9TUVI/EV1hYiE6n4/PPPyc5OZn3339fNh6uqKhg8eLF7Nixg+DgYB544AHuv/9+j9ufMmUK48eP59VXX/X6Ht577z1Wr17NpEmTeP/991m0aBErVqzgL3/5C8899xyVlZVMmjSJP//5z6SkpACwZMkSPvvsMwwGA5mZmbz88stMnTqVTZs2cdVVVyGKIgEBAWRkZHD48GG31zMYDCQkJLBmzRq3bL622LhxI48//jinT58mLCyMX/ziFyxfvhxojbApLS2Vy5BbtmwhJiaGX/ziFxw6dAi1Wk1OTg4LFy7kzJkzPPjgg9x555188803WCwWLrvsMq677jpqa2t55JFHWLBggRxnA3DrrbeyZ88ehgwZMuDl394gCAInT54kLy+P8vJyxowZQ05Ojpx23x/R9nh5+OGH+eGHH9i4cSP79+/nyiuvpLy8XB6MfPrppzz11FMcPHiQbdu28eCDD8pG7pMmTeKaa67BaDTS0tLCk08+yVVXXcWuXbuwWCxMmDCBhQsXyu0pkmWbQqHgtttuw2Aw8OWXX3b4flevXs2zzz5LfX09U6ZM4a233iIhIQFRFFm2bBnr1q3DarWSkpLC+vXrGTVqlFupc9u2bdx2221y0G1qaiqLFi1i7dq1nD17losvvpgXX3wRpVKJ3W7nrbfeYs2aNQDcfffdrFq1infffZfo6OhO11ql1hlfBUkajcbNxUfqXbVarVitVlpaWtxKwN1tbxKMta2Clh4QHyhQDkpDO3p6D7bhGX4Z9pq6YVPmCWVVRg5t/7LThtXQ0FASEhLOe8Pq3//+dz777DP++te/8vjjj3Pffffx3XffIQgC8+bN4+qrr+bDDz+krKyMyy67jGHDhjF79my3bZjNZvbu3etTDti+ffu4+eabqa6uxm6387e//Y2nn36aL7/8kszMTFauXMktt9zCnj17AJg4cSJPPvkkYWFhvPLKK9x4440UFxczZ84cfvvb33ZY6ty7dy9Wq5Wrr766w/cUFBTEmjVr3FKwx40bxzXXXNMurdput3PNNdeQmJjI1VdfLY/WXZOxd+3axRNPPEFAQAC/+93vGDNmDPfeey8//PADGo2Ge+65B4BXXnmFmTNnMmHChE6/t4EMpVLJsGHDGDZsGA0NDRw4cID33nuPmJgYsrOzGTFiRJ8G0nYVZWVlfP3117Lx+vjx4wkPD+e9995jzJgx1NfXs3LlStLT03nmmWeoqqpizpw5PProozgcDh577DHKy8v59a9/TXBwME8++SROp5O8vDy2bt3KAw88QEFBAZGRkezfv5+qqirsdjtxcXFs3LiRJUuWUFZWRmxsrMfZzLfffsujjz7K5s2bycrK4qGHHuLmm29mx44dbN68mR07dnDixAnCwsI4duwY4eG+Se8/+eQTvvnmG3Q6HZMnT2bz5s0sWLCATZs2sW7dOrZt20ZaWpocrDtt2jSPa9ttIQiCzwpfqV/UF/GS0+mUlb7ShENam5VeVyJOaR0XkNdoR8UEMjFcibpHp2AR0eAfg2+/EJ/dKfYK8am1Orn2PhAsiqZMmSKnG9x+++28/PLLAOzfv5+amhqefPJJANLT07n33nv56KOP2hFfQ0MDgiC4reM8/PDD/PnPf8Zut/Poo4/y+OOPA5CQkMDixYuB1nibt99+m0cffVSObvntb3/L008/TUlJCSkpKdx2223yNh988EFWrFjB8ePHGTt2bKefrba2lujoaLcS4UUXXURhYSFWq5VvvvmGadOmuZVhx4wZw80338zmzZsZN24cBQUFALz99tuYTCasVivl5eXU1dWRk5PDRRdd5CYqefDBB3n11VeZM2cO0FrO+fTTT3nyySe5++67ueGGG3jmmWdQKpWsXbuWhx9+2Idf6ceDiIgILr30UmbMmMGxY8fIy8tj06ZNfW6S3RlEUZQHTBaLhTFjxjBs2DBefvllmpqaGDZsGH/5y1/47W9/i0qloqCggHfeeYfhw4e3K59XVVWxfft2t97LRx55hLS0NO699142btxIRUUFBQUF5OTkcN111yGKItXV1ZhMJkRR5KuvvqKmpoZDhw7x1VdfIQgCV155JX/+85/54IMPuPvuu+UB1DPPPENERATFxcVoNBpMJhPHjh1j0qRJHUYktcX9998vR6zNmzePQ4cOAfDxxx9z1113yakTv/vd7zpdZ3eFUqmUyaY34do603btVJoVNjc309LSIs8WpdstLS04W5qBQHoaRCt2d42wE/iF+FTK1m78npKfSoG8xjYQ0DaFvKWlBYfDQUlJCRUVFW6jQ6fTydSpU9ttIyIiAqVSyblz5xg+fDgAq1atYtWqVdx2222yqg3aJ1CXlJSwZMkSHnzwQfk+URQpLy8nJSWFF154gXfeeYeKigoUCgVGo9HnyJSoqChqa2vd1hKlmWRSUhL19fUcP36cXbt28ac//YmioiLsdjsOh4NRo0axYcMGKisr5e9m7NixjBgxgl/+8pc8+eSTPP/88zLZ3X333R4/Y0pKChUVFQCyiGj79u0MGjSIU6dOcdVVV/n0WX5sUKlUZGVlkZWVJZtkr169msTERHJycsjMzPRr9UMQBEwmk0erLal5/5577mHy5MmUlpby7LPPMmzYMNm7tLKykhEjRjBjxgw++OADpk2bJg/GTpw4wbJly8jLy8NiseBwOMjOznZ7fdfjLjw8nKSkJO6991527drFa6+9RnZ2Nrm5uURFRZGamspdd92FIAhyxNMzzzxDaWkp7733Hrt37yYnJ4d//OMfbq405eXlXHLJJdx333383//9H2fPnuXaa6/l+eef98l/te25QdqPKyoq3HIY2x7T3YU3RW1X2la8PaZUKmWvXYVCIbeqSO0qDoeDJk0goqinp8SHn6oXfiE+vbbVioYeEp/ZWMfrr69HpVLJjhDx8fFyE+xAEChA686clpbGyZMnO32upAz97LPPuPjiizt8btvZ7+DBg3nssce49dZb2z13586dPPvss7I6UKlUEhERIYtIOppJi6LImDFj0Gq1/OlPfyI7O9utidtkMvGvf/0Ls9nM448/zhVXXMGyZcswGAx8/PHHKJVKLr30UtRqNS+++CK3336722+3evVqoLWsedlll7mVeUpLS+XR8NmzZ92CiX/+85/zwQcfEB8fzw033PCjdr7wFdHR0cyePZtLLrmEwsJCdu3axVdffcWECRMYP358t0yywT0BwlNvW2BgoJtKdtiwYfL/33zzTebNmyev8dXX1/Pqq6/KmY6JiYnk5uby+eefs3btWhYuXCi/7sKFCxk/fjwffvghISEhvPzyy3zyySedvt+IiAjmzZvH1KlT2blzJ6+99hpZWVls2LCBu+66C6VSSUxMDDExMaSlpaHRaHjggQc4dOgQOp2OmJgYzp07x759+6ipqeGbb76htLSU0aNHs3btWpRKJQsWLOC5557jqaee6tZ3Cq3J8CUlJbJIRmqBKCkp8alP0ttjdrsdlUrVoYOPq9pUKl1C67lAUqxLZGa1WmUVbEhISOfKUVMtju+3g7NnMzaFzj+THv8E0YYoesrzqJRw4ZhErpr6sJvM+dSpU+zevVuWOcfHx7s5yvdHUcOkSZMIDQ3l2Wef5f7770er1XL06FGam5uZOHFiu+evWrWK2bNnk5iYyN13301sbCxlZWUUFRV1WPdfsGABTzzxBOPGjSMrKwuDwcDmzZu58cYbMZlMqNVqYmJicDgcrFy5EqPRKP9tTEwMX3/9NSdPnnQzS5ZOdEqlkssvv5w//OEPLFmyhJkzZzJq1CjKy8uB1vKt3W7HZDKhVCpJT0/HaDRy4sQJZs2axYQJE7BYLO3Sqjds2EBubi5JSUlERESgUCjc1qiee+45LrjgApqamnjllVdYtmyZ/Njtt9/OmDFjCAkJYe3atT3+nX5M0Gg0jB07lrFjx1JZWUl+fj5vvvkmqamp5OTkkJ6e7nacSAkQ3nob2yZAREZGkpGR4TEBojMsXbqU1NRUDh06xLhxrU3Kd9xxBytXrqSkpIRrr71Wfq7JZCI0NJTg4GCOHTvGm2++SUxMjM+vFR4ezrx585g2bRphYWEsXbqU66+/npUrV5KZmUltbS1Hjx6VS6d33HEHN998MwsXLmT27Nk8/PDD5ObmsnjxYjZv3szhw4cJDQ2lqqqKiooK8vPzWbNmDSUlJVitVrZt28bBgwexWq384x//wGazYTab2bJlCyUlJdhsNr777juqq6t5+umncTgcvPHGGwiCQFxcnEzqBw8epLa21qu6syOXHcmf12KxeFW0V1dXYzabEQShnXAlKirKI6l1xWheDEjE0dPzsEqNOnlkz7bhBX4hPqVSQXKMguLqrucwydtQQEyYokOZc01NjUyIe/fupaqqClEU21kkxcTEnFfZt0ql4ssvv+TBBx8kLS0Nq9XKsGHDvApYpkyZwrfffsvvf/97Vq5cCbSWE6+++mp5Tc8Trr32Wpqamrj55pspKSkhLCyMmTNncuONNzJ79mxmzZpFZmYmOp2On/3sZ0RHR7NlyxYKCwuprKykurqacePGER8fz3vvvcfIkSPdok0A1q1bx4svvsizzz6LVqslPDycuXPnytlq77zzDr/5zW/46KOP2qVge0qr3r9/P0uXLsVgMBAXF8crr7xCWlqa/JmuvvpqsrOzMRgM3HnnnW6J9UlJSUyYMIFTp055LBv/D62Ij49n7ty5XHzxxeTl5bFx40asVivR0dFotVpMJpPHBIjk5GTGjRtHREREr7qlxMTEcMcdd/DUU0/x6aefAq377sKFC7n22mvdzAeef/55fvnLX7Jq1SrGjx/PTTfdxLfffut121KJz2g0tpsRTZkyhb/85S+8+OKLjBs3DqfTSXR0NOPGjWPWrFl89NFH2Gw2Zs+ezcyZM7FYLCQnJzNv3jzefPNNSkpK+Prrr6mrq0Oj0ZCVlcXll1+OxWLBYrFQU1PDzp07KS0tlfsAIyMjUavVjBgxgksvvRStVktxcTElJSU89NBDaDQaVq5cySuvvIJSqeSJJ55g37593HTTTXLZ01tqSn19vUdFu5Sa0laFKS0buZKav4zmFUolqsHDcZYUgNBNeb9CiTKmd0q/7TbtL+eWZpvIjkJHt4hPqfiPbdmgrtV3pWgPqedHcpOvq6sjPDy8Xbm0p3Eu/Q2iKNLU1OQ12sRms7k5ULg6U3TU29bS0uKWUWe1WmWHlPT09G6Xz3oDd999NwkJCT6pYH8KsFqt7dK2pbK0yWQiODhYnjGYTCZqa7/5awAAIABJREFUa2tJTk7mggsuYMiQIX12PLhmLkrklJuby+9//3tycnK8ri91Nxmj7X2CIHDu3Dmqq6tJTk5m+PDhhISEeC0L+pqMIYqiW8STlG5hMpncIp5iY2OJiIhoZ3H2ww8/cM8997BmzRo3hyhPbQXervtLaorYYsa661MQOsij8wY/25b51auzot7J92eFLpGfUgHhQQomDlGh7KUfz+l0yk2wrhdJ5ux68SZz7i+QRpKe1lsaGxvRarVec9uCg4N9OiAEQaCsrEx2SamqqiIpKUn2voyLi+sXB1ZxcTHjxo3j4MGDbrPEHzMkhxNvCQB2u93r7x8eHt6u1aG5uZnDhw+Tn58PQE5ODmPHjkWn0/VJFqJELgUFBXz++ee88MILshVZV1MmpIburuybRqOR3bt3c+TIEcaNG8fkyZO7LaZrm5riOkOTEtKNRiPNzc3ydyDZ8mVnZxMQEMB7772HTqfj7bffbkdmAxGOyiIcBTu7Rn5KJYqwGLTZc1D4SZTl93SG0lonhWW+kZ9EetnpKtQq/59Ypdmh68istraW0NDQdoQYHh7eZyd7ySTZ06zNbDbLru+e/CS7454imTxLsT2uJs/p6ekkJyf3O4eQJ554gpdeeolHH32Uxx577Hy/nV6FtwQIafbWNgEiPDxcXgfTaDQ+Jzi0lalLJ2lJuScIguyJ6Y1wfE279+Y4AjBjxgwKCwtZu3Ztu/aevoLJZGL37t0cPnyYsWPHMnnyZEJCQrxah3kqMUrWYb5k/kn+mgaDgXnz5nHw4EEAMjIyuPzyy0lNTW2nXxgo6va2cJSfxHF0r2/kp1ShCItGO34mCvUATmAHaGgSOF4hYLC09ve1fUGVsvWSFqskNVbZazO97sBV5uxaLm1paWmXNRYbG9stopFMkr0FUgqC4NEgNyIigrCwsF5Za2lubpZndKdPn3YzeU5LSxuwB1l/hmsKgtFopK6uTv7NJaNmyahBp9PJhONq2OxJpi4p+Lprh9X2PofDwbFjxzh8+DA6nY6cnBxGjx49YGcdbSEJebxFDpWVlWE0GlGr1TgcDgICAnyOAOsNpbndbpfPO66Dcknd3jbiaSCo24XGKuwn81sb0kURxDbrfio1qNSoUkahTsny20xPQp8QH4DVLnKsQqSkRkCBKPf5CaKC8EAFo5IVRIX0vzQGCc3Nze1KpTU1NQQFBbXbGSMjI3E4HF7LUa7yb08E5w+TZKfTSWlpqbxOJ5k8S+XLtibPP2VIYoKuRPN4elxq5pXk5UKbRX61Wi2TjU6nc7PY8zTL6oiw/NGnJ4oip0+fJj8/n+LiYkaNGkVOTg5xcXG9/lo9hWtqSmfJBxaLpR2ZtVUxKpVKjh49SmFhIaNHj2bKlCnndS27IxPvyMjIdvoFX5c1+hJ2h8i5CgP2s8cIsVWjFm0IqGhRBdEcM4zY1MGEBfUNB/id+ARRJP8MnGrtXfbo36mgNYcvVA/TRzIgUtilHfHs2bOUlpZSWVlJY2MjZrMZp7N1Sh8QEEBoaChRUVEkJCQQFxcnl6b8XToURZHa2lqZ6EpKSoiOjpaJbvDgwf3a2soXtA1m7a21KLvd3ukMSeqBkhp2XR0tzGYzFosFvV4vZ/dFRkYSExPjppLtbyemjmA0Gjlw4AAHDhwgLCyMnJwcRo4c6df92FNqijcya25uJiAgwOcIMF/3/aamJvbs2cPBgwcZNWoUU6ZMISwszG+fuatoq26XLv1J3S6KIsfKnZytbaUab8teSgUEBkB2uprAAP8eG34lPkEQ+dcPUG30THjt3gygVsGssRARdP5PCk6nE4PB4DVtW5J/t1VJBgUFyXEmUrm0uroavV7fbmQWGRnZa6N1s9nsVr5UKpVu5cvAwMBeeZ2uwpPjfW8EnTqdzg7LeR2tRXX2XKmsKMnGPfW2tU2AaJvbNhBKUF2FIAicOHGC/Px8ysvLGTt2LNnZ2T6bZDudzk4jwKRrb6kpnq4DAwP9OpAzm83s2bOHAwcO9EsCdIWk7m5bKq2vr5fV7a4Xf6rbBVEk/7STBrPvMXVqFVwwRN3tZB5f4DfiE0WR3cehtM430nOFVg1zJ0CQn1kfkKNtPJUlTSYTISEhXlVyXXEKaStzli5NTU1ER0e32xl9ISm73c7Zs2dlsmtoaCA1NVUmu8jISI879IIFC0hMTOSJJ55wu99VYt6bSj5fJeZdVfH5KjHvCE6n02vadkNDAxqNxuvv3x/NEvoSDQ0N5Ofnc+jQISIjIxk6dCjR0dHtxCCuszWr1Yper2fbtm00NDTw0EMPeXUBaWs0n5WVxeuvv+4xlqsjrFu3jvfff5/Nmzf3+DNLJvIHDhxg5MiRTJkyxWej6rbY1ibFwd/wpm53OBzt9AsxMTE9XtMVRZEjJU4qDWKXW/k0Kpg8XI1e65/jy2/EV2MU2fp910lPQkoMTB3e8w/dkfy7vr4eh8PRYW+bv8uBVqu13UJ2VVUVWq3W49phTU0Np06d4vTp01RUVPDCCy/Q1NQkCyDS09O54ooruPLKK91EEN5mT663gU4Jpzsqvq5KzHsb0uBG+v1dxURNTU2EhIR4/P27Orj5McHhcLQjLW/rZi0tLbJjiNPpJCoqiqSkJPLz89mwYQPFxcUEBwczduxYHn/8caZNm+Zz8HFX0ZOw467AYrGwd+9eLrvsMgICAlCr1eh0OmbOnMmbb77pExn2NfF5g6u6Xbr0hrq9wSywvwfxdPHhCsan+ec39NueUVjWfdIDKKtrFcQEaDr/kiUhibfeNp1O53YyGzJkiFtZ0h8n5bbqO19KewqFwq1U2tjYyLlz51rdzp3uUmDJhw9g0aJFjBs3DrvdzsmTJ3n33XfZv38/jzzyCAEBAYSEhMhEpFKp0Ov1nUrMBxKkAFJvM3eHw+FGaIMGDSIrK0tWyQ7Uz91VOBwOjyVFT2Rms9k8zsQkE+i2EWDSMVRTU0N+fj6vvfYaO3fuZMWKFdx5553odDo2bdrEl19+ybRp07r8vvtb2TgwMJBLL70UgD//+c9UVlaSnJzM6tWrWb58uZzMMhAQFBQkty5JcDqdsrq9qqqKAwcOUFlZic1mc2uxkGaKntTtRdVCjzig2iBic4ho1b1/fvbL3tRiEymv7/l2TlfByCTkXhpvszaLxSKLCKTZW1pamny7oym7pODr7SZdbxJzb7MnvV5PaGgoKpUKg8GAIAg0NjbicDhITU2VL6Ioui1mS0nzSqWS5ORkJk6cyIwZM5g7dy4vvfQSzz//PHq9npKSErZv384XX3zBBx98IIdmjhgxgueee44rr7wSaD3JxMfHs3nzZiZMmMB3333HsmXLKCwsJCUlhVdeeaXLpabegN1u77C3Ta/Xu5Uhhw4dKt/u73FWPYHdbve6TtaW2BwORzvRh5RSnpyc7HZ/d8U3MTEx5ObmcsMNN/C73/2OwMBA3nnnHSZMmMCMGTOYN2+e/FybzcYdd9zhMbg5NTWVhQsXsm7dOo4fP47ZbGbIkCFyoO2///1vFi1axIkTJ9Dr9dx66628+OKLMqlKM64tW7Zw/Phx3nnnHXbt2gV4D2SGzgOlPeGiiy4iMTGRvXv3EhoaKpdxIyIi+Otf/8qqVasoKysjJiaG3/zmN3LmXlt0Jaza31CpVMTGxhIbG8vo0aPl+yXtguRVevDgQWpqaggODnbTL0RGx1Nj6HlLVFmdQHpc7w9M/UJ85xpbFTrd9emE1tnigRMN7Ny4gYaGBqB1Zw4LCyM4OFiehut0OjQajdvsqqWlhbNnz3Lq1CmfRBVS4KIvPVCBgYGEhYX1msRcEAQqKys5ffo0x44do6KigkGDBpGens7UqVMZNGhQu+24RpcsX76cuXPnMmLECNnEu7KyktDQUP74xz9SWVnJ/v37effdd/nwww/RarVu5aVbbrmFDz/8UCa+b775hujoaCZMmEB5eTlz585l7dq1zJkzh3/+859cf/31HDt2rEtGwb5A6q3yNmuzWCyEh4e7zdzT09Pl//e3BvuewGaz+TQra2pqkh3zPRkNJycnu83WdDpdnwwA9u7dS0tLCw888ABqtZrKykry8vJ44403SEtLIzs7G1EUvQY3S/jwww/ZuHGjx161JUuWsGTJEm6//XaamprkrMe2YceAnHggwVsgs1TW7ux9eYJer2f8+PGYTCbGjBnD6tWrGTZsGHq9nn/84x+kp6ezY8cOLr/8ciZOnNguMLkrYdXnE4GBgfIgXIIgCNTX18uD8UOHDmERQonLnI5K0/U+Z3m7IlTUDyDis9p7RnoSHIJSLlU5nU55TcYX4YMvLuYajcZvPVAdobGxUVZeFhUVERQUREZGBrm5uaSmpnZ5UTkoKIihQ4fKiQcAa9asISUlBbPZzIUXXojVauXtt99GoVBw+vRprFYrBw8e5LLLLuO5557DYrEQGBjI+vXrmT9/PgAffPABV1xxhRyuO3PmTHJycvjqq6/4+c9/3uXPLQiCR5WsdFuKSpJmbcnJyYwdO5bIyMheNUnua0hVhc5UjNK1KIrtSoxBQUHExMSQmprabcf8vkJdXZ0bWcXHx3PllVcyc+ZMvv/+e7Zs2cK///1vRo0axfTp01GpVG7BzRLuv/9+r/l0Go2GU6dOyQHJF154oc/vr7NAZm+B0t4wYcIElEolJpOJzMxM3n//fSIjI9m3bx/Hjx9Hp9MRHh7O9OnTmTVrFjt37mxHfF0Jq+5vUCqVREdHEx0dTVZWFoIgcKbSzqkqRU+T6bB3w+bTF/iF+HpLLRMcFMJ9993nJjEfiLBarRQVFclk19LSQnp6OpmZmcyePdsvjbEVFRWkpKRQWVnJ6NGjueOOO2SZ8969e9FqtRQVFVFVVUVYWBj33Xcfl156KZ9//jlffPEFBoOB4uJiNmzYwJdffilv1263d5gTaLVavc7ajEajbJIsXTwlQAwEuDrm+1JqVCgUHhum4+Li2knztdr+YTLcXXgKLYbWvtacnByys7M5ceIEFouFV199laFDhxIbGysHN0t/01Eo67vvvsuTTz7J8OHDSUtL43e/+51ctegMnQUyewuU9rbOeODAAYYMGYLdbueNN95g6tSpFBYWMmPGDAwGA48++ijFxcUoFArsdrtb6VBCV8Kqewu+tBl1tqQjJbBL9zscDgRBID59IkkjLkap6hnF+KvXzi/EF6DueakTQBegHJDWWYIgUF5eLjePu5o833jjjX43ed6/fz/l5eVMmTKFffv2ya+lUCgICQkhNDSUpKQkrrvuOqC1br9lyxZKS0tJTk6mqqqK1atXU1RUxAUXXMAjjzzi1gRrtVopKSnx2Ntms7knQMTGxsqhpP29t03KMfNUYvRUalQqlR7JLD4+vp00/8di9+ULcnNz0el0/O1vf+OGG25o97gUNTZ48GCWLFnC4cOH+eabbwDYt2+fnLDe0TGSmZnJhx9+iCAIfPbZZ9xwww3U1dV1elx1FsjcE2g0Gu655x6WLl1KQUEBo0eP5pZbbmHNmjXMnj2bgwcPsmjRIo4ePepGtNBxWHXbNqPe6oP11GbkGk4LtEtWl7ZltVqx2+2yA45UlZGCalXBiRhEZY+JS+Mn3ZlfzkLx4T0nPZUCUn3riT3vkHr0JKIrLi4mLCyM9PR0pk+f3mcmz0ajkR07drBkyRJuu+02jyNLT5g/fz5PPPEEFouFhQsXcvPNN9PY2MiYMWO46aab2Lp1KwkJCZhMJoqLi4mKipJDf6Ojo0lMTCQ7O5vIyMh+Z5UkOeb7qmZUqVQeG6QTEhI8xr/8D+0RFhbGH/7wB/7v//4PtVrNrFmz0Gg0bN26lX/961+sWrVKfq5er+fCCy8kLi6O5cuXU1ZWxq5du7BYLO3IwRUffPABs2fPJiYmRp4lqVQqYmJi2oUdu6KzQObuQqoAvP322+j1ekJCQiguLsZqtdLc3ExRURGHDx/m1KlTpKeny0rQ5uZmNmzYIBPJddddx5QpU+TBc3NzM4mJiV1qM5L2TVclt0RcEvE1NzfL/ZbS/m8wGLBarQQGBnostbfd/9v2WbrCahfZ9oODnownlAoYFO6f5Q2/EF9ggIL4cJGKhu5vQwSGxHf6tPMGaWeWyM7hcJCRkcGIESOYO3dun85U582bh1qtRqlUMnLkSJYtW8aCBQs6/Bu73U5FRYVcjszMzGT37t1ceumlrFy5Uk6AePzxx/nggw84c+YMarWaiRMncv/996PRaOTF7O+++65LMueeQlL5+qpm1Gg0HsksKSmp3f0/JpHM+cSyZcuIi4tjxYoV3HrrrYSEhJCdne01SUMaLF1//fW0tLTw8ssvs2PHDoxGIzk5OYwaNcrt+Zs2bWLZsmVYLBZSUlL46KOPZHFK27BjV8yaNYvZs2czdOhQAgMD+eUvf0lCQgLnzp3j2LFjVFVVUV9fz969e7HZbJw9exaAL774wmNpEGDkyJEoFK2h2TExMdx+++1s3boVrVbL/Pnzue+++3A4HEyaNIkLLriAkJAQcnNz+ec//ymH5o4ZM4b/9//+H8888wwrV67EZrMxdOhQnnrqKY9rfN5aU6R0ddf72ramSP/vrDWlJwjQKIgKUVBj7NkMaHD0AIslqmwU2fYDOLrZxzE4CqaP7D8zB6fTSVlZmUx0NTU1JCcny96XMTEx/Wqm4ykBwrUs2dsJEBaLxa0Btrq62k3m7HqJiIho9121dczvqMRoNpvRarWdxr9I/+/P5dX/wTOkGdSJEyc4dOgQ5eXlcq9ZUFBQn7UZdcVRqDv9oFarlf379/Pdd9+RnJzMhAkT0Ol0nRpt2+12n/f/8+ULW98kkHe6+w3ssWEKstP9c+z61bJsWyFUNna9kV2jgivGQ4j+/BGJZPIsCVLOnj1LVFSUfPANHjz4vJ9QbTab1942g8HQ5wkQbeFwOCgvL6esrEzOOmxsbMRms6HT6VCr1XKjv+TL6EuJ5X9k1n/QUR9sd9advLUZqVQqbDYbFosFrVZLVFQU0dHR6HQ6n1TeXW0z6i34quY1mUw4HA6gVQQkOTV58ybtq9aUnkAURQ4UOak1il1e+lIr4aLhar/ZVvrVpNopiGw5Ag1m38lPrYLLRkF0aN//qK4mz2fOnEGhUMgzuvNh8iyZJHvL7WtpaWnX2+aatu2Psp3UMO9LibG5udmNzCTSCggIQBAEee2tsbGRuro6AgMDPdq0DdQ2hv4EQRC6TE6+PN/hcPiUZNFVcvJGUJJJdl5eHufOnZNNsqOiovrsu+yKmte1NcWbJ6lra4rdbicvL489e/aQnJzMtGnT3FSmAw1OQeTfp5wYLb6Tn0oJE4eoiPBjRJHfY4mcgsi+k1Bc03rb24dXKyFAAxdntaaw9wUcDgdnz56Vy5eSybNEdt5MnnsT3U2AiIiI6DVXdVfH/M5KLC0tLej1ep9KLFKumS+QBEKVlZVunqVNTU3ExMS0I8SB1PrQFXhaR/KFgDpLXRcEodtJFp2JKs7XzKO+vp4DBw5w6NAhYmNjycnJYdiwYV0uObq2pvhSahdFscOqRG+0prgSYFJSEtOnTx+wBCgIIgWlTs41dBxLpFK2BhRkp6v9Xu3rsyBas1XkeLnAiXOtH1z6WIKoIC5MYNRgFXHhHUuYewpRFKmurpaJrrS0lNjYWJnoEhMT/eLb2FcJEK5wOp0+u39Ijvm+ZJl1pOTyB9qaeEsXnU7XzlE+Kiqqz95bX0rMe0pOWm3vJFn0VzgcDo4ePUp+fj51dXWMHz+e8ePHo9frfVbzKhQKn+KPJMVkX32Xdrud/Px8du/eTWJiItOnT2fQoEF98tq9jRabyMkKB6X14n9CyP+bxRqkVZCVrCQqRNkn322fEJ/N2oKhroZmixlRBKtThVNQoVQIaJRONCoRlVpNaEQ0QaFhvfrBTSaTW0adVqt1y6jrDff9vkqAkBzzfXH/sNlsBAYG+nQw6/X6AVVOFEWRxsbGdmRoNBrdIp5iY2OJjo5Go9F0u0HX22PQeZJFd4QS5zvJoj+jo9YUicgaGhowGAzYbDbZNCA8PJyQkJBOyaw/QyLAPXv2MGjQIKZPn05CQsL5fls+o7TKwRfbzRScsqFQgkqlQKNR4HSCzS6gBEKDlVxxUSBTxutQ+vkY8DvxmU1G6qsqfGoQVSgU6AKDiI5PRNHNE7HNZqOkpEQmO6PRSFpamkx2ERER3dpuVxMgXGdtHSVASLJkX9YL7Ha7V7FH2xLLQEr47izJwldyamlpkZ0kpNmTBCnNIiAgQO5T6i45SQT1P/QcUmuKr2petVrtk5pRq9Vy/Phx8vPzMZlMZGdnM378eEJCQs73R+4RHA6HPAMcKAR44JiV1X8zYrd37sSi1cDINC0Lrg9F44dUBgl+Jb5ms4nac+Vdc0VQKNDpg4hJSPLpxC2KIufOnZPLl64mz+np6SQkJPg0m+lOAoQrybmOGL055rsewB9//DGVlZVcf/31HR7Ergdzd5VcvRXEKYpiO8KJj4+XG9y7q+LrjsTcF8KSBBJGo7Hd7LCxsVFuxHctl/orpuqnhLatKR2VGNeuXUtERATXXXedT6X27qh5z507R15eHoWFhaSlpZGTk0NaWprX3/m9995zS3Poj3A4HBw4cIDdu3cTFxfH9OnT2bZtW68F7vYWvj9l5fUNRuwO3/9Go4YRqVoW3xzqt5mf34jP6XBQUXyqW1ZACoWCsKgYQiM8K7UMBoNMdGfOnJHzpDIyMkhJSfHaNC2ZJHtbbwO89rbpdDqPB7Ona6fTyVNPPSUfWDabza3P5+mnn6aiooLS0lLWr1/f4xPtnXfeyfr16+W1h6FDh7Jy5UouvPDCHq87GQwGPvvsM44ePYrNZiMkJIRJkyYxe/ZstFotixYtYtWqVQwePNhnMvImMe+rEFFoHZy4xjtJF4VC0U5IExMT86Nun5gxYwa33XYb99xzj9fnCILgdf9vS2wWi0W2supMzbh48WKSk5NZsWKFT+/VZrOxcuVK1q1bR1lZGeHh4YwZM4YHHniAWbNmdfi3VquVI0eOkJeXh8PhIDs7m3HjxrVTa/uL+Lb5IXjW4XBw8OBBdu3aRWxsLNOnTycpKQloPY+ePHmSIUOG+O31O4LRLPCbV+uw2bv+t1oNXD09iDm5/lHS++1objI0dNunTRRFjA11hIS3qiqtVivFxcUy2TU3N8tEN3PmTMLCwuS/tdlssvtCW4WkwWCQUxskVeTgwYPJyMiQ+4SkA7muro6SkhI3x3xPJZaYmBjS0tLc7g8ICODxxx+X31NqaqqcIyZh+fLlKJVKuSzXk3Wn48ePM2PGDGbOnElLSwv79+/n6quvZvny5XKfU1eSLFwfX7ZsGUlJSfz9738nOjqaU6dOUVBQIHswLlq0iGuvvVY+uLoLqYepr6DRaEhISHArE0km3pKy9MyZM+zdu5f6+noiIiLaEWJISMiAnh1KZGaz2aiurubw4cNeBVDeWlOCg4OJjo5uN1vztRTc1bXlG264gfLyctasWcP48eMB+Pbbb9m4cWOnxBcQEMDEiRPJycmhrKyM/Px8Xn75ZYYPH05OTg6DBw8ecL+n5KY0fvx4Dh06xCeffEJ0dDTTp08/32+N7Qeau21ZZrPDpj0WZl2gR6kcIEG0oihiamygJ0ZtgtPJ/n3f8cPRY1RWVpKYmEh6erpcEmlsbKShoYEDBw649bZZrVZCQ0MJCgqSm6R1Op2s+rNYLBgMBsrLyz0quYKCgto55kvrZd7IyGq1YjKZvD7e1NTEV199xYkTJ+THduzYQXV1NRdddBGFhYVERERw5513kpmZiVarpampiffff5/CwkL0ej033ngjt9xyi0dy2rJlC4MHD2bhwoVotVrZ1eG2224jISGh3Qh28+bNLF68mMrKSm699VZ++OEHbr/9do8j/iNHjrBixQpZSj18+HCGDx/u9pytW7dy+eWXU1tby/z583nttddQKBQIgsDTTz/N6tWraW5uZs6cObz66quEhYXJs7t33nmH3//+96SmplJcXAy4h4jm5uZ2ex/qKiQT75CQEDIzM+X7HQ4HtbW1bhZtUgiwa6lU+v/5tD1zbU3pTM0rmQbU1tZy+vRpTp8+zY4dO/jkk08wmUzk5OTw/PPPM2TIEPR6Pb/+9a9Zt24dVquVlJQU1q9fz6hRo7BarTz22GN8/PHHWK1Wrr32Wl566SX0er08y1i0aBEvvvgiwcHB/PGPf+TWW2+V33NDQwNz585lx44djBw5kvXr15ORkdHus23dupUtW7Zw8uRJeVYDMGfOHObMmSPfPnr0KAsXLuTQoUMkJibyzDPPcNVVVwGt1RHXYOaPP/4YlUrF3LlzZR9N6bkS9uzZw5IlSzhx4gRDhw7llVde4aKLLgJaZ8tTp07l22+/5ciRI+Tm5rJ+/Xqio7tmNNzRdzh9+nTuv/9+rr/+enbt2sXUqVPZuHEjV1xxBVu3buWhhx7i0KFDFBQUsGHDBv70pz/JYdFjxoxBqVTy+uuvs2DBAqxWq2yneOLECb+tDwqCyNZ9zV0qcbaF3QEFp22Myex920P/JLBbzL3idh6gVhIbG0tUVBQNDQ3k5+ezbds2lEqlTGrSCdZut9P8/9s77/goyrX9f2ezyW56B5IACaETmiQIiBKKRGniEUUBkeJBEAMWPD8BaQlKRJQiiDmg1KAe9CgSkOoLCaiU0EsgtEAKSUglfdv8/sg782ZTNyRL0b0+n/0kuzs7++zszF7PfT/3fV3FxSgUCrkXysrKCoVCIRc2SEomCkVZyaxUki4RVGZmJrdv366xxLy2niYbGxsjo1pra2vUajXdu3dnwIAB8mP5+fksWbKEn376iWeeeYY5c+Zw4MABIiIiMBgMdO/eneHDhxMTEyObUg4dOrRK3T5bW1vUajUODg7o9XrWrVtHixYtaNy4caVtMzMzefHFF9mwYQPPPfccX356HRiHAAAgAElEQVT5JWvXrmXs2LFVfgc9e/bkww8/JCcnhyeffNKIECTs2LGD48ePc/fuXQIDAxk2bBjPPvssGzZsYMOGDRw4cIBGjRrx2muvERoayubNm+XXxsTEEB8fj0KhID09vZKJ6MMApVJJkyZNKvVRFRQUyGR48+ZNjh07RlZWFs7OzpWiQ2fne69Wrqo1pbq/5VtTyk/eHB0dZdeIiq0pO3fupFevXri4uBAVFcXevXsJCAjg/fff5+233yY2NpY9e/YQGxtLQkICzs7OXLp0SZ6gfPDBB1y/fp3Tp09jbW3N6NGjCQ8PJyIiAkBW7UlJSeHIkSMMHjxY7rmDMsPZ3bt3061bN8aNG8eHH37I999/X+k47N+/nx49ehiRXkVotVqGDRvGxIkT2bt3L4cPH2b48OHExcXJ7/ftt9/y66+/smPHDjQaDePHj6d9+/Z8//337Nmzh7CwMHx8fEhNTUWtVjNkyBC++OILRo0axQ8//CCTpNQ0/+2337Jr1y6aNWvGoEGD+Oyzz/jkk0/q9B3XdAyl9bsRI0YQGxuLv78/MTExDB48mNjYWKPoThAE2fZJqVTy3nvv0aZNG4KDg9m1a9d9S3XGJ2rR1dNLr0Qjsv9Y8aNDfDqtFrEBnJSsFAJxcXEIgoCVlRVWVlaoVCoUCoXcdKrX62XiA2QZLK1WiyAIiKKIwWAwIi+JCO9XibmkBt+oUaP/+2xWVtUaXt6LKeVnn33GqlWrKCkpAcr8yqpKN/36668EBATIlkTTp0/ns88+q3bsK1euZNmyZaxatYo33ngDX19fVq5cyaBBg+RtZs6ciYuLCy4uLvTr14/Tp0/z7LPPsmXLFt577z38/f0BiIiIoGPHjqxfv15+7YIFC7C3t6/9ID6EkNJ75aMTvV5PVlYW6enpsvN4eno6Go3GiAg9PDyws7OT0+s1rZtV15ri5ORUyTWiPq0pW7ZsYeLEibJJakREBK6uriQmJsqTtUuXLvH444/Tvn17oCy7s3btWs6ePYubmxsAs2fPZvTo0TLxASxcuBCVSkVwcDBDhgxh69atzJ07F4AXXniBxx9/HIAxY8bw3nvvVTm+zMxMo8lHdnY2/v7+sp1USUkJR44coaCggJkzZ6JQKOjfvz9Dhw7lu+++Y8GCBQAMHz6c3r17A2Up7//+97+cO3eOdu3aERAQQGpqKnv37mXr1q2cPXsWHx8fXn75ZZRKJaNGjeKLL74gOjqa8ePHAzBhwgTZCWLkyJFs3769Tse9tmMYHBzMu+++C5Q5zM+aNYuvv/4aKJs4vv3225X2KV37Y8eOpbCwkG3btnH79m30ejM5u1ZAZq4eQwMEPxnZ5hmvmVKdhnqlOSXYqsvCfFtbW5MKJR61EvPqDC/vxZTy/fff56OPPkIURS5cuEBISAhubm5GBAVlBrXlDT4FQahxBm1ra8vs2bOZPXs2d+/e5ZNPPuGll17i1q1b8kVa8XMUFBTI7+Xr6ys/5+vri06nIz09XX6sJrPRRw1Sa4pWq8XGpkxPUqVS4erqSl5eHrm5uVy4cIGTJ0/KP0BWVlao1WocHR1xcXGRbZ4kUr2frSmpqalGzuAODg64u7uTkpJC//79CQ0N5a233uLWrVv84x//4LPPPqOkpISioiLZQw+Q/dskSC09Enx9fUlNTZXvV3f+VIS7u7uRX52bmxu5ublcvXpVzkRI53d58vf19SUlJUW+X/6cu3PnDjqdzuix1q1bc+TIEaZPn84HH3yAg4MDy5cvp2PHjgQFBVXan6njrw537typ8Rj26tWLhIQE0tPTOX36NNu3b2f+/PlkZmZy7Ngx+vTpU+2+rays6NatG126dGHdunUUFxezceNGgoOD8fPzq3Fc99JmVFxcTFFREVczmqDVtgPq95us0Zmn6cAsxCelEuub7rS1s6NvX9M85f5KqMmUsjYIgkDHjh3p3bs3O3furER8Xl5eRqkOURRNTn04OTkxe/ZsIiIiuHHjhkx81cHb25ubN2/K92/duoVSqaRx48bye5b/QX8YCwuqa02p6q9Op6uyFN/NzY3mzZtXWjcWRVGODqXb2bNnKSkpqWTx1LhxY7NYPJVHxe9LKvLy8fEByrID06dPJyMjg5EjR7JkyRLCwsKwtbXlwoUL8nYVkZOTQ2FhoUx+t27dqmQzZAoGDBjAypUrSU5Ornay5u3tTVJSEgaDQSa/W7duGXnzlT/PpIrdpKQkee1asiJSKBR07tyZmJgYJk+ezMmTJ4mKiiIuLo6AgIAGK8jy8PCo8Rja2dkRGBjIihUr6NixIzY2NjzxxBMsXbqUli1b4u7uLvexShNLSWTh6tWrcgFT+ery77//HqVSibu7O0qlssriufJtRlLGrfxvu5RNkwxqdTqdPJHTC04Igljv+EdlY57fBLMQn7VNw1yg1ma+0B9WPP744zg5ObF48WKmT5+OjY0N8fHxFBcX071791pff+nSJQ4fPiynSstjyJAhhIaGsm3bNoYOHUpkZCRpaWnV7mvhwoU8++yzdOnSBYPBwIoVK3BxcZHXS2rCqFGjWLx4MYMGDcLT05PZs2fLKaOqUJuJaEOhoi5jTdqker2+ygIod3d3fH19jR6va5+l5N/m6elpRATFxcVkZGSQlpbG7du3OXPmDBkZGXLhVUWLp4ZS3Rk9ejSvvPIKo0ePpn379syePZsePXrg5+fH8ePHMRgMdOvWTf6s0g/hpEmTePfdd1m1ahWNGjUiJSWF8+fPG6Xl58+fz6JFizh69Cg7duwgLCyszuMLCQmhX79+PP/883z55Zc89thjCILAkSNH5G169OiBvb09n376KTNmzOD3338nOjqa48ePV7lPKysrXnjhBRYsWMC6detITExk48aNcjQ0ePBgpk2bxs6dOxk5ciRpaWlkZGTg4eHBsmXLyMnJMTnCkwQV7ty5Y0Q0giAwYsQIJkyYwIwZM3BwcCAlJYWrV6/SuXNntFotnp6eLFu2jGeeeYavvvoKgKVLl9K1a1fCw8OxtraWz5OffvpJrjWIjY0lKCgIa2trVCqVrG7UrFkz0tPTSUxMRKlU4uXlhYuLi0ygRUVFFBUVUVxcDFCtPm/Fa0PKul1L1vJ5VC6l99DKIEEAmjc2z1q/WfZqo7ZFYaVEr7v3Ty0IQrV9fH91WFlZER0dzYwZM2jRogWlpaW0bdu2xl6nTz/9lOXLlyOKIu7u7kyYMIHJkydX2s7Dw4MffviB6dOnM27cOMaMGUNQUFC10YQgCEyYMEGO1jp37szOnTtNMtqdOHEiqamp9OnTh5KSEp555hlWrlxZ7fZ2dnaVTER79uxZ6/tI672mapPW1Jri5+dndEGrVKr7Hona2tri6+trlCY2GAzk5OQYRYbp6ekUFhY2iIi3IAgMGDCAhQsXMmLECHJycnjiiSfkIpO7d+/y7rvvcv36ddRqNc888wzvv/8+AIsXLyY8PJyePXuSmZmJj48Pb775pkx8TZo0wdXVFW9vb+zs7IiMjKxUGWwqfvrpJyIiInj11VdJSUnBzc2NTp06yYazNjY2bN++nalTpxIREYGPjw+bNm2q8f1WrVrFhAkTaNKkCe3atWP8+PH8z//8j+zMvmHDBubOncvkyZNp3rw5K1asICAggNzcXL7++mtiYmIwGAy4urpy9OhRMjIy+PrrryulAa9cuUJKSorRWj/AkiVLCAkJYdu2bYwbN478/Hw8PDz4xz/+QePGjbGxsWHIkCH88ssvjB49mj59+tC5c2d+/PFHQkNDGT16NABr1qzhxo0bDBw4kMLCQiZNmkRkZCSlpaVMmDCBgIAAunTpwgsvvIAoisybNw9vb29ZrF+lUtGhQwf8/PxwdHSUC6DuZQnJ30eJo72C0tx7NOOjrJcvpKd5+vjM1sCen5tNbmbGPac7ldY2ePn6P5Tpr78SDAYDTZs2ZcuWLfTr1+9BD0eGVLBgajWjpMtoijbp/RQZNjdKSkoqiXhnZGTIIt7lb9WJeHfr1o158+bx/PPPN/j4zNk0XbEq29S1qNq2r+hkUVt9gZWVFVlZWSQlJVFYWEirVq3o0KEDbm5uRtvX1clCquY1RTSgKteU6v5W5ZpiMBi4cOECMTExcgtFy5Yt63WdHIwrYuv+wnuO+hq5Klj0lnkccsxWM27v5ExeViaiWPeqHEEQcHF/uBzN/0rYs2cPPXr0wNbWliVLliCKokmRVX0hkZkp2qSFhYUoFIoq0ytSWX5FMvs7Qq1W07x5c5o3by4/Vl7EOy0tjYsXL3LgwAHu3r1bKTrMysoiPj5ebgZvaEgT3+Li4jqJNNRGVhqNBlEUTa7Otra2NmozqonM6uNkcefOHeLi4oiOjqZZs2YEBgbSqlUrmWjKt6bUlmYvLS2VdWXLXwOOjo54eXkZPV5f1xSFQkGnTp0ICAjgwoUL7NmzB5VKRd++fe+ZAHt2tuXng0WUause/NhYw/N9zScfaFatTk1pCelJiXWK+gRBwMHZFVfPyj1oFjQMFixYwMqVK9FoNHTo0IEvvviCHj163NO+qlLMr+mCViqVJmuTPshG8L8iJIUWKTJctWoVv//+O/369ePFF1/E09MTd3d3XFxcsLe3N8kbsDZySkhI4L///S+zZ882uQ+2LpHWwzA5rso1JS8vj6SkJNLS0tBoNKhUKvl4Sq0ppliAPajPZzAYuHjxIrGxsdjY2BAcHEyrVq3qPJ6kdB0RG3Ip1ZjOATbW0DfQlpcH1r6ccq8wuzuDpqSY9JRbZeRXy1sJgoCjqzvObh4PxQn9d4Uk2G1qNaO1tbXJXmYWMqsfKpaY1zd6Ki+ZJwiC3CNrMBhQKpWoVCo5hSZZ+9yL1dKjBq1Wa3KavTrXFOlvaWmprCvs7+9fq0j2wwRRFGUCVCqVBAcH07p16zqN/Vaajs8256LRiTUquQiA9f+u6z0fbF7Svy9+fHqdjoK8HPJzcxBFg3EE+L8fztbOASdXd1R/UWftBw1JMd8U+6OioiJsbGxMsj+yt7d/qFRWHhZUdLKo61pUTc8plUqTUnt1iZ7Ki6iDsYi3VMmYlpaGlZWVLM3WpEkTuRn/UTgHqhMLqOoa0Ov1tVofSf+bWs1bUlLCuXPnahXJfhghiiLx8fHExMRgZWVFcHAwbdq0MZmc8osMHDxRLMuYlU9/WivLYqJOrWx49gk7WjU1/+T4vhCfKIrkFelJuaOhtKQQG0GDAj0iCvSiFRqFPd7uahq5WKO0evhnQQ8LKirm15RilBTzTfEyq4vI8KMOSfWnLk26phRKaLXaakmoLuRUFUE9KNNgyXC5oqNFTk4Orq6uNGnSxKj/8H6IeFdsTanpGpBaU0xJs5uzmlfqnY2Li+Py5cu0bduWwMDAR0IkWxRFLl26RExMDAqFgj59+tC2bdtaxy2KcDsHztwUuXhNQ2GhDq3WgJWVgEplhY+XisBWClp7gc19mEOZnfi0OpELt4opLjVgqOGdJAHudk3VuDo+/LNHc8FgMFRbyVXxb0XF/Jou6EedzAwGQ4NFT+Xv63S6OkdPpkZTD/uPWENBp9NVafEkimKVFk81pbul1hRT0+xVtaZU9/dBtKbUhqKiIs6cOUNcXBxKpZLAwEA6d+6MWq1+0EOrEaIocvnyZWJiYgDo06cP7dq1q/L4lmhhz2nIK6JG/U7l/87n+nWEZnXT+K4zzEp8Wp3I6etFaHWmK3cqBGjlrcLT+a+zFlTfsuTqUoxVlSU/aEgl5nWNnmrbtqoS86qiIVNTe9KtPhV8FlQPURQpLCyUU6W3b98mLS2N3NxcuVJRpVLJ2rolJSXy9VCda0pV18BfpTVFFEUSExOJi4vj+vXrtG/fnqCgoIfeXV0URRISEjh48CCiKBIcHGxEgCUa+OU4FGuoMfApDysFPNkOWjapfdt7hdmITxTLSK+otO67VwjQ0dcWR7v7H6EsWLCAq1evEhUVVeN2DVGWXFWK0ZSy5Kr8/eoCSQewNsJZuHAhbm5ujB49ulbiioqKwsHBQXagqMvakinbp6amEhAQQF5e3iMduf5VUJ6sTBENsLKykisVpYhPq9XKll4GgwEPDw+8vLzw8vKicePGlJSU0LVr10fiO58yZQo+Pj7MnTuXgxV6F+t6vRYUFHDq1ClOnDiBvb09QUFBBAQEyC07phgH329IBBgTE4Neryc4OJi2bdsTfUIgt9B00pNgpYBBj0Ej59q3vReYLaeYna+n5B76N6DsICWml9KpRcMv+pZXHJHWvaSLavXq1bJcT0JCQo1pFo1GU2VZsrOzs6yYP2vWLH7++WdZFcXX15dhw4Yxc+ZMI/Pc6lC+gq9iei4pKYlz587VGj29+uqrhIeH4+rqikajYf/+/Rw6dIjx48fTtGnTGgnpjTfekO9Ls+vqyOnkyZM0a9aMuXPnVjkDr+gGXREbNmzg9ddfl90FWrRowccff8zQoUPlY1dX8V8L6gapmteUFGP51pSwsDByc3PZvHkz3t7e+Pj4YG9vz4gRI7h48SIJCQlV2lmVhxQdpqeny+tfmZmZRERE8N///tcoXeri4lLvKE8URVauXCmrnbi6utKrVy/mzZtHp0416wNX5dAeGRlZr/GUh4ODA0899RS9e/fm2rVrxMXFsW/fPjp16mQkZP0wQRAE2rZtS5s2bbhy5QoxMTEcOnETVdMQDGLdJy16Axy7CkPN9HHNRnzJmRoM965WQ36JgRKNAbVN/VJ5FcuSY2Ji5Pvjx4/ntddew8/Pj4KCAm7evMmpU6fIzc3l+PHjMqG5urrStGnTSvYv0sUnVfBVjIZ0Oh0TJ05k6tSpsqXLqlWr+O677/j8889l1/eaoimFQmFUFq5WqykpKeHKlSs4OTkZEZBKpcLR0dGInAD69+9P27ZtWbFiBWfOnOHYsWOyrUxDobyA7b2iV69eHD58GIPBwNq1a3nllVdITk42cqmwoG6QqnlN0SUtLCyUJzkVMxPNmjWr9Lh0fn3++ee4u7uTmZnJqFGjADh37pws4mxKC4u9vT3+/v6yhZVOp0OhUBiJeJ88eZL09HRKSkqMDIClopq6iHi//fbb7Ny5k7Vr19K7d2/0ej0///wzO3furJX47hcMBgOtW7emdevW5OXlcfLkSTZv3kxaWhrJycnodLqHrppWEATatGlD69at+fH3EvI19x6pZ+XD3SJwMkPRq1mOWlGpgaLSerAegAip2Vr8m1Q+mSsq5td0QUuK+eVV8dVqtSyy6+vryxNPPGGk5K7Vatm4cSOHDx/Gw8ODadOm0bx5c7kBOCoqiitXrmBjU6aS3r17d7nEvHw0lJGRgcFg4OrVq1hbW9O0aVMWLlzIuHHjOHLkCGPGjCEtLY2wsDAuXbqEIAj079+fpUuX0qhRI2xsbPD39+fNN99k3bp1XL58mcLCQj7++GP69+/P008/zaVLlxg0aBARERG88sorVR7Kxo0bs3z5cqKiojh06JD84yKlZN59910WL16MlZUVixYtYsKECQByVChphH766acsW7YMQRAIDw9n0qRJRlFcdU7akm1Kly5dEASBb775hpdffrnar16hUDB27FimTJnClStX6N69u+zYrtVqUSqVbNiwgfDwcO7cuYOHhwcfffSR7Oq9bt06lixZQlpaGo8//jhr1qzB19cXURR57733qnQRf5RgMBgq9VlWR2ZSVqMqMnNzc6uUsbjXH9KxY8eyadMmpk2bBsDGjRt57bXXmDNnjrzNzp07mTNnDteuXcPZ2ZnXX39d9siTvt+vv/6asLAw/Pz82LRpk/ydd+zYkdTUVKZMmcLhw4dxcnJi1KhR9OrVi9OnT/P999+TnZ2No6MjcXFxeHt7ExkZyYABAypNxq5cucKXX37Jn3/+KfsAAkau8Hl5eUybNo1du3ZhZ2fHpEmTmD17NpcvX2bKlClotVocHBxQKpXk5uZWulaqw7Fjx3j77beJj4/H1taWESNGsHTpUjmNKQgCq1atYvny5eh0Om7cuMG+ffuYNm0at2/f5tVXX8XR0ZGkpCSWLVtG165dCQwMrNUp5X7jbrFAka5+rWkGES4mQ08z6NWbhfjyi+tvHigCyWm5nPr9sHwBFxUVUVJSYmQqq1QqUSqVRtGGKIpYW1vj6OgoR2J37twhNTXVKELSaDQkJibi4uIiE1ZhYSGHDx8mLCyMOXPmsG7dOjZv3izbeIwYMYJBgwaxa9cuMjIyGD58OG+99VYl+x+Aw4cP07RpU9n0VcKQIUO4desWXbt25erVq4SHh9OnTx/u3r0rXwiSKS2UOVTv3LmzUr/UyZMnef7551m9erWcEqwKM2fO5MyZM8TGxhpJW0GZO3ZeXh4pKSns27ePF198keeffx5XV1ej7Xbv3s3SpUv57bffaNGiRZUC2NU5acfGxiIIAmfOnKk21Vkeer2e9evXY21tbSTULKGwsJDp06dz/Phx2rZty+3bt8nOzgZg27ZtLFq0iOjoaFq3bs0nn3zCqFGj+OOPP9i7d2+1LuIPGlJriinVjMXFxXJrSkUy8/DwqFYx35zo2bMnmzdvJj4+njZt2vCf//yHw4cPGxGfvb09mzZtIiAggPPnzzNw4EC6du1qpBEaExNDfHw8CoXCyLcRytw+JKPYS5cuMXDgQJ5++mkmTZpEcnIyixcvZtmyZcydO5dVq1bxz3/+kzfeeKOSxdPu3btp2rSpEelVxLRp08jLy+P69etkZWUREhKCl5cXr7/+OpGRkZVSnabCysqKZcuWERQURHJyMoMGDWL16tW888478jbbtm3j6NGj2NrakpmZyYgRI1i3bh3Dhw9n1apV/Pvf/2by5Mm88MILnDhxgm+++YYmTZoQFBREmzZtHor10Iy8sob0+kAUISW7QYZTCeZxYNfX34cJQKs3cO3aNTmN5+rqiq2tLSqVCpVKVecy84ol5kuXLmXQoEFGi85nz56lT58+zJo1CyhzMwgMDKRDhw4cPXqUvLw8Pv30U6BMdf6NN95g69atVRJfdfD29ubEiRMAtGrVSiYDT09P3nvvvUqWLdOnT69k2Hro0CG++eYbNm/eXKu49N69exk3blwl0oOyNNS8efNQKpUMHjwYBwcHLl++XEm7c+vWrbLCO5TZzFQsADLVSbs6HDlyBBcXF3n9KCoqqpKSvQSFQsH58+dp3ry5XBAB8O9//5tZs2bJqdzZs2ezaNEibt68Wa2LuLkgtaaY0jBdUlKCWq2ushS/UaNGlaSsHoYft4qQoj6psq+it1zfvn3l/zt37syoUaOIiYkxIr4FCxZgb29PRSQlJXH48GF27NiBWq2ma9eu/POf/2Tz5s1yVPfkk0/y5ptvAuDj40NgYCDvvfeeLNOWlpbGuXPniI6ORhAEvvvuO6NGfDc3NxQKBXq9nv/85z+cOnUKR0dHHB0dmTFjBps3b+b111+v1zEqv0bn5+fH5MmTiYmJMSK+WbNmyRHcDz/8QIcOHXjxxRcBeOedd/j888+BMiPegQMH0q9fPy5evMiRI0f49ddf6datG926dTOpjqC+qChrJ/2fkmWH3uAO1G+pStMwloeVYB4jWoEyuq8n+Yn6spSO5AnV0MjNzWXTpk38/vvv8mMHDx4kOztbJp+cnBxKSkqYN28e8fHxJCcnG/XYiKJI8+bNq/QXO336NNevX6/03K5du9Dr9YSFhVFQUMCuXbu4desWpaWliKKIra2t/Jrc3FwOHjxIUlKS0bg///xzfH19iY2NJTY2tsbPOWzYMDZs2MC5c+eMSPLGjRtYW1vz8ccfy49pNBpWr17Nnj17jMYfGxtL27Zt5XFJ6zdffPEF7u7unD59GicnJ/n5GzdukJqaavTZpW2rwqlTp/D29ub111+ntLSU7du38/nnnxMfHy9/DwDh4eFYWVkxbNgw/t//+3+MGTOG5s2bExISgqenJ3Fxcfz222+89dZb8r71ej3h4eE0b96cli1b8sILL5CXl0e7du0ICQl5aHqmpKzGowbpOnJ3d2f9+vVER0fTpk0bwsPDAVi+fDmurq4kJyezf/9+MjIy0Ov16HQ6AgICCAsLk7/fDRs2yKRe/ju/ffs2arWapUuXyu977tw54uPjCQsLq/a6XbRoUaVJgo2NDbm5uSQkJJCQkFDp80jFa1u2bJFTkFeuXOHcuXOEhYVx6tQpbt26ZXRul79Wbty4wd27d42uYel3JjMzkz179pCamopWq8VgMODt7W20r23btnHo0CGgbIKbn59v9LwgCGzfvt3IBb48TPlNMDccvIJwbhGCwqp+xFfPl1cLs7QzZN7VcTW1BH09l/kcbRV0NkNlp4SqyowrtjOUX1s6fvw4r732msnO6FXl/QsKCmjdujUffvghoaGhvP766xQVFbFq1Src3d3Ztm0boaGhNZZC+/n5sWzZMhYvXkyvXr1YtmxZtWOQqilLS0vp27cvM2bMYObMmUDVljHl36/8+CdMmICXlxeLFi0CypydW7duLa/xVfysFfdtSlVn+fRRVlYWLVu25MCBAzz22GOV1vgkFBcXM2fOHI4dO8ahQ4d45plneO2114zWa6qC5CL+1FNPMX/+/CrXx6paN6vYmlKTaEB9FfMfFZQ/Z/r27cvJkye5ffu2nJW5ceMGfn5+tGzZktDQUN58803UajXvvPMOmZmZREVFVfn9ln/s9u3b+Pn5kZubi6OjI1AWzaemprJhw4Yar9uK65ZXrlyhXbt2HD16lKCgIPnx0tJSMjIySE1N5cknn2T+/Pny2v2FCxeIi4sjKiqKgwcP8v333xtNmMuf/zW1MwwYMIDHHnuM+fPn4+joyPLly/nxxx85fPgwoiiiUCg4e/YszZo1Q6vVsmXLFjZu3Mj3338vt38MGjSI8ePHExISUm0fbGlpKUVFRfJkGpAzZw3ZB1udUHhiBhyKB209V708nOC5oNq3qyvMEvG5Om9IADsAABZZSURBVFjVO9WpUEAT14erib0+zuilpaWcP3+eDz74AFdXV7mAJD8/H2dnZ1xcXEhJSWHJkiUmjcXR0ZHdu3czYMAAZs6cySeffFLj9gEBAezfv5/+/fvLPzp1wciRI5k4cSJjx47F19dXns2bisaNG3P9+nWT1vgA3N3d+ec//0l4eDg///yz0XPp6ekcPXqUAQMGYGtri4ODgzyrnzJlCnPnzqVjx474+vpy+/Zt9u7dy1NPPcXx48cpKirCy8uLvLw8MjIy+PPPP4mIiKiSvFxcXGjatGklMvsrNEybC9988w05OTnY29vLWQEJ+fn5uLm5oVarOXbsGN9++y0hISEm7bdZs2Y88cQTzJo1i88++4yEhAS++eabWvttq0Lr1q2ZOnUqo0aNYu3atTzxxBMYDAa2bdtGYmIiM2fO5OWXX+bEiRNs3LiRxMREVq1axYsvvsilS5eIj4/n4sWLrFy5Um6vuHPnDiqVikuXLnH9+nW0Wi1//vknGk2Zo/nRo0cpLCzk5s2buLq68sMPP5CUlMTq1auxs7Pjk08+QaPRALBp0ya8vb2xsbHBYDBw6dIlIiMj6dmzJ/v27SMrKwu9Xi+v89bWB3vnzh1Onz5NfHw8zZo1IygoCD8/P7Oexz7utXoS1AqlAtqZqX/fLMRnpRDwdFaSnluPBK0I7k4PV6nuvTqjr1ixAoPBgJ+fH0OHDuXHH3+U1zHmz5/Pa6+9hrOzM61atWLs2LE1RnDl4eLiwr59++jXrx/W1tYsXLiwxu27dOnCnj17GDhwIGq1uk4u2IMGDWL69On069cPhULB3Llz2bx5s8kl5AsWLGDcuHEUFxezZs0aRo4cWetr3nnnHVq2bMnZs2dxcnICytJGycnJLFy4UHae9vf3Z8KECaxfv57CwkI6dOhASEgIeXl52NnZ0blzZ/z8/MjLy2PNmjWkpqaiVqvp168fX331FZ6eFu/HhkLLli2rfW716tXMmDGD0NBQgoODGTlyJLm5uSbv+7vvvmPKlCl4e3vj6upKWFgYAwcOrPE1UvRTUaRh6tSp2NnZMXHiRFJTU3F0dCQgIICRI0eybds2+vfvzzfffIOPjw/W1tb07NkTT09Prl69ioeHB56ennzwwQcIgsD8+fNJS0ujoKCAH3/8kZSUFDQaDVevXpXX2ZycnGjevDlz584lLCyMXbt20bFjR8aOHcvvv//O22+/jY2NDfPnz2fy5MlGE8QOHTowffp01q1bx9ixY3nyySdp3749Tz31lEnHTfJrDAkJ4ezZs+zevRu9Xi+LZNuawRjA2gpaecHllPqtePmbyZ3ObMotRaUGzlwvqnPHPpQZNjRxscbfy/S+HAvuL+Lj4+nYsSOlpaX16iWqSjG/utL88or5tQkNm6qYb8GDh6TP2dBO6lKa815VhGoqlqsqhS2JeKelpZGeni4X1eTk5ODm5lZJt9TBweGBnKOiKJKUlMSJEye4fPky7dq1IzAwkKZNmzboePIKYdtx7mnJSyFAW2/o1bbBhmMEs2p1Jt0pJTlTW2fyU9sIdGlhZ3FqeMjw888/M2TIEAoLCxk3bhwKhYJt27YZbSP9iJnqZSaKokmajOZWzLegdlR0smgoN4vyThYNSU4P0smiPKoS8U5LS0MQhEqN+J6enve1Kb2oqIjTp09z4sQJrK2tZZHsuogB1IQziWU3XR3ITxDAUQ3PdTefU4NZiU8URRLTNaTlmEZ+ggAqpUAnP1tsrB/8CWtBGSQyGzx4MMePH0cQBB577DFCQ0NRqVSVojPAZC+zv4rI8MOEqpzTG8LNQnKyMIVw6qrX+nc7B0RRpKCgoJKjRXZ2Ni4uLpWiQycnJ7MeI1EUuXHjBidOnOD69et06NCBoKAguU3o3vcLcdcgPtk08lMIYK+CIYFgZ8aE333x40vP1XAzQ4veIFYpY6YQyvLAHk5K/JuoLJHefYAoipSWllYZhVWVapQU803xMpNKwC2oGeWdLOpLTuUfkwQeGpKcJLGIvxtB3W/o9Xqj6FBKl+p0ukpk2KhRI5Pk4OqK/Px8Tp06xcmTJ3FwcCAwMJCOHTvW672u3C4jQK2+amsiqW3Bz7MsvWluT777QnxQliZJydKSmq1Fp/+/txQAVwcFLZqoUds8fE25jxIkxXxTvcwkxXxTvMz+rmRW3smirqm92rYFGjS1V1uJuQWPLsqLeEu3zMxMnJ2dZRKUGvGdnZ0b5PuX5BZPnDhBUlISnTp1IigoCE9Pz3vcn8j1NC3nbkF+iRK9QUAQRGysDPg30tPJzxp79f3J9N0X4svILeXWnVIMYs0Rn5ujNS0a21oivnKoqJhfky6ppHhiqpeZOWaLDwrVOVnc67pT+fsKhaLBycna2tpCUBbUC3q93kjEW7ppNJpKMm11FfGuiNzcXE6ePMmpU6dwd3cnMDCQ9u3bm7wemZNXRHp2PqJBxFAF5UiXgaO9Gm9PZ6zM1bkuvZ+51/huZpSQkasxbY0PsLEWCGju8Jde46tOMb86MrOxsamWzCqS2sOm1l4RkpNFQ607lb9f3smioRp0JYKywIJHBUVFRUZEmJGRwZ07d3BwcKiULnV1da3T5Euv13P58mXi4uJIT0+vVSRbFEXSsu6Sk1dkcl+ftdKKFk3dsVaa77ozK/El3ykhNbu0zlWdKmsFnfwcHqnITxIZNsVlvSrF/Or+PigykwpaFi1axPXr11myZMkjWWJuwd8TB6tQJWpISNfF119/bZb914byxremwGAwkJ2dXSk6LC4uplGjRpUiRFNk/LKysjhx4gRnzpzBy8uLwMBA2rZta3QdZmTnk5lTUOdmdmulFS2beZgt8jNjH5+ec4l1/8BQFvY2crahRZOGb6ysC8or5tfmZVZcXIxarTYpxViTYn5d3ZqrKjE3lYAq/n/hwgWioqL417/+hU6nM9kpvS6FEg9LibkFpqOu5+TDgPoQX9++fTly5Ihcbdq6dWteeukl3n333WrThdIkccuWLaSmpuLp6Un//v2ZN28efn5+9fw05kNJSUklMszIyMDOzq5SdCiJeFeETqfj4sWLxMXFkZuby2OPPUa3bt1Q29pzLenOvXEA4OJkh7eZLNjNFkqkZZfes2SNKMKdPA2+jdQoFA0b9en1+kr2L9WRWUlJCba2tlWSWUXFfHt7+xp/0MuXmOfk5FRLRqWlpZw6darSelV15KbX600iIOlvRaPa8tv6+Pjw888/869//etvWWJuwaMJcxiySrZGhYWFHD9+nHfeeYd9+/axf//+Kq+LF198keTkZL799lsee+wxCgsLiYqK4rfffqu3o0NF6PX6Bku/q9VqfH19jey/RFEkJydHbsQ/f/48v/32GwUFBXh6elYiRFtbWzp37kznzp1JT0/nxIkTREZG0uupp3Fv5MW9GBSJQG5+MU08nBqcA8BMxKc3iGTe1dZ7P5l3tTRyqb2aUK/Xm9wwXVpaKus7lictR0dHmjRpItseSWs7FUvOJcLJz88nKyurziXmtUVDklCtZMHSpUsXtm3bhpOTE4sWLeK5557D2tqagoIC5syZw759+yguLiY4OFhuJt+xYwdz5swhMTGRDh06EBkZSefOnYH/s0LZvHkzt2/f5vnnn+err75Cr9fz8ssvU1paKufrExISWLNmjZH47/bt25k1axYpKSl07dqVr776Srb38fPzIzQ0lE2bNnHz5k2effZZNm7c+NC4H1jQ8KjpXIuPj+fNN9/k9OnT+Pj4EBERwXPPPQeUiTrb29uTmJhYybgYyhzSf/rpJ/Ly8mjdujXLly+XJboWLFjA+fPnUavVbN++naVLlzJmzBjefPNNfvnlF7y8vGQtXAk1jaUm2Nvb07dvX7Zv3067du3YuXMnQ4cONRLF3r9/P/v27SMhIUG2D3N2djZyCFm/fj2ffvopycnJstyZ5GkpRadTp05l6dKlODg48PHHH8tC6+PHj8fW1pabN28SExPDL7/8QlRUlJEo/Nq1a1m8eDHZ2dk8+eSTREZG4u19b0KXgiDg5uaGm5sbHTp0kB+XRLylyPDChQukp6ejVquNGvG7d+9O3779uJ6STf1c+UTyCopxNYMFu1mIL7dAV29bIoMIqVnFaAvvVEti+fn5FBYWotVqUavVsk+fRCKSQW35KM1gMMjRVHFxMXl5efUqMZeqIxuqxFytVtOlSxeSk5O5cOECb731FuvWrWPNmjV88MEHvPrqqwiCwKuvvoqDgwMXLlzAwcGBP/74Aygzp504cSLR0dEEBQURFRXFc889x+XLl+U0zZYtW9izZw/29vYMGzaMjz76iI8++ohdu3bVmB5KSEhg1KhRbNu2jb59+7Js2TKGDRvGxYsX5XaHrVu3snv3btRqNb1792bDhg1MmTLl3k8ECx5a1HSuKRQKhg0bxsSJE9m7dy+HDx9m+PDhxMXF0bZtmQ5VdcbFAN27d2fevHk4OzuzYsUKXnrpJRITE+VJ1C+//MIPP/zApk2bKC0tJSwsjGvXrnHt2jUKCwuN/DG1Wm2tY6kNzZs3JygoiEOHDlUyfd6/fz+PP/54Jc/M8mjUqBE7duzA39+f2NhYBg0aRPfu3enWrRtQZgidmZlJSkoKR44cYfDgwQQFBcnj+/bbb/n111/ZsWMHGo3GSJz7f/7nf5g1axZ79+4lICCA999/n1deeaXBrYlUKhXNmjUz+pyiKJKbmyuTYXx8PAcPHsTByZVuPfqgVN77soYollWDPjLEp9UbGsSINicnj1/3RiEIAoIgyD1Ver0ehUIhF0lIclY1rTuZQk4SQT0s8PX1ZdKkSQCMGzeOqVOnkp6ejiiK7Nq1i6ysLNkpPTg4GCib+U2ePJkePXrIr1u0aBFHjhyRtwkNDZVP3g8//JBp06bVKLQt4T//+Q9DhgyRhYHff/99VqxYwR9//CGbjE6fPl2eaQ4bNozTp0830NGw4GFDTeeaQqGgoKCAmTNnolAo6N+/P0OHDuW7775jwYIFQM3Gxa+++qr8/4wZM/joo4+4fPkyXbp0AaBXr16yga2trS1bt25l9erVcqQyffp02UHkyJEjtY7FFHh7e5OdXdkSPCsrq1aFkyFDhsj/BwcHExISwqFDh2TiA1i4cCEqlYrg4GCGDBnC1q1b5eKV4cOH07t3b4BKGZQtW7YwceJEeV8RERG4urqSmJho9vVFQRBwdXXF1dXVSPQ+I+sud3IK6r1/XX297aqBWYhPFKm3CS2AoFCg1VadMjUYDHKUVlBQ/wP8sEAyrbx79y4ajaaSie2iRYvkQpovvvii0uv3799PYmKikb2RXq9n5cqVHDx4kNzcXA4dOkR6ejpQ5ksnmWpWNNAEY2PeHTt2YGNjU8kUc+XKlcTExJCbm8vevXu5du0aAMeOHTMyB7Xg0URVhs1Q87kmCAJWVlZGjiFJSUkkJCQgCEKtxsV//PEHJ0+eJD8/HyhLsy1duhR/f3/5PC5/Xt26dYvo6GiOHj0KlPlFSufy+fPnaxxLRSQmJlZp9Prnn3/SrFmzSsa3kkF1Tef5lStXOHjwIFlZWXJLT05ODrm5udy4cQOVSsVnn30mb5+SksKNGzcwGAyVjhVQySS6TZs2Rs+rVCoWLlxI8+bNqx2TOdGqbUc6dX0cq3quvZqt6UA0A9JzSsWjl3LFP+Prdzt97a45hvdQw9fXV9y3b5+4fv16sXfv3kbPAeKVK1fE1NRUURAEMScnp9Lr33jjDfGjjz6qcf9fffWVfP/XX38V/f39RVEUxYMHD4o+Pj5G28+fP18cM2aMKIqiGB4eLr700kvycwaDQfT29hYPHDhgNPaqXmvBo4uK36uEms612NhYsXHjxqJer5cfGzVqlDh//nxRFEVx3Lhx4ocffig/d+DAAfnci42NFT09PcWzZ8/Kr3dxcZHHUNV55efnJ+7atUu+v2bNGqP91TSWiggODhbXrl1r9NitW7dEW1tbMTo6utIY9u3bJ6rVajEpKanK/ZWUlIi2trbiDz/8IGo0GlEURXH48OHy5z9w4IBoZWUlFhQUyK8ZOXKkGB4eXuWxqvjYxIkTxX/961/ycwUFBaJSqRRv3LhR5XjuB3LyCsULV2+L56+k1uuWkJhulvGZpa7c0c6q3gGfADjbP9zN2A8KXl5eDBo0iKlTp5KTk4NWq5Xz+ZMmTSIyMpKjR48iiiKFhYXs3LlTnjkDfPnllyQnJ5Odnc2iRYt4+eWXgTKz2KysLPLy8qp835EjR7Jz505+++03tFotn3/+OSqViieeeML8H9qCBwqtVktJSYl80+l0NZ5rPXr0wN7enk8//RStVsvBgweJjo7mlVdeqfW98vPzUSqVeHp6otPpCA8P5+7duzW+ZuTIkURERJCTk0NycjIrV66Un6vPWIqKioiJiWH48OE8/vjjDB48uNI2Tz/9NAMHDuQf//gHJ06cQKfTkZ+fT2RkJOvWrUOjKfMElJwXdu3axd69eyvtZ/78+Wg0Gg4dOsSOHTt46aWXah0fwOjRo1m/fj2nT5+mtLSU2bNn06NHjwfaRmGrtqEh0n4OZlKqNgvx2dpYYa+q51qZAE1cLX581WHz5s1YW1vTrl07GjVqxPLlywEICgpi7dq1hIaG4urqSqtWrdiwYYPRa0ePHk1ISAj+/v74+/szZ84cANq1a8eoUaPw9/fHxcWF1NRUo9e1bduWqKgopk2bhoeHB9HR0URHR8uFLRb8dTF48GBsbW3l24IFC2o812xsbNi+fTu7du3Cw8ODqVOnsmnTJpPMj5955hkGDRpEmzZt8PX1Ra1W11g4AmWk4evrS4sWLQgJCWHs2LHyc/cyltDQUBwdHWncuDHvvPMOI0aMYPfu3dW2LP34448MHjyYl19+GWdnZzp27EhcXBxPP/00jo6OfPHFF4wcORJXV1e+/fbbShWlTZo0wdXVFW9vb8aMGUNkZKTJRtEDBgxg4cKFjBgxAi8vL65duyYXCT0oqGyUqFX1k0QUBHB3sW+gEVXYtyiaJ4mana/lauq9GdECONpaEeDr0LCDsuCRbEa2wIK/MsytMvOgcLeghJT03Cq1OU2BndqaFk09GnhUZTCbhIargxK1jeKeujgUAvg2svR+WWCBBRY8qnC0V2FjfW+ZP0GAxh5ODTyi/4PZiE8QBNo3s8daKdSJ/BQCtPSyxcHWsr5ngQUWWPCoQhAEfH3qLjYtCODTyAU7tfmWUMxuS6TVG7iUVEhxqaHGtKekStOmqR0u9n8duxwLLLDAgr8zdHoDN1Oz0Wh0NaY9yzpLBJo1ccHR3rwZv/vixyeKIvnFelKzSskr0sn+ewJlPX/WSgEvNxWeTjZYPUKODBZYYIEFFtQOURQpKtGQmVNIYXFpWf/k/5KAKILSSsDdxQEXJ1us7oOI/X1zYJeg0RkoLjWg04soFGCjVGCnUlgEkS2wwAIL/gbQ6fSUaHToDQYUgoBSaYXaRnlfOeC+E58FFlhggQUWPEhYjNEssMACCyz4W8FCfBZYYIEFFvytYCE+CyywwAIL/lawEJ8FFlhggQV/K1iIzwILLLDAgr8VLMRngQUWWGDB3woW4rPAAgsssOBvBQvxWWCBBRZY8LeChfgssMACCyz4W8FCfBZYYIEFFvyt8P8BLVCQ7vYvmBcAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] @@ -735,7 +775,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 44, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:00.084786Z", @@ -749,7 +789,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -760,7 +800,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 46, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:02.531956Z", @@ -772,10 +812,10 @@ { "data": { "text/plain": [ - "PageRank(damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" ] }, - "execution_count": 44, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -786,7 +826,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -802,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 48, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:30:03.316585Z", @@ -812,7 +852,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] From a78f8415c0b864091336a5cc45d05153898b3343 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 13:29:06 +0200 Subject: [PATCH 86/92] Added Numba disclaimer --- docs/reference/introduction.rst | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/docs/reference/introduction.rst b/docs/reference/introduction.rst index c459486d3..04a9fc9f6 100644 --- a/docs/reference/introduction.rst +++ b/docs/reference/introduction.rst @@ -23,6 +23,15 @@ To use scikit-network in a project:: import sknetwork as skn +Optional dependency +------------------- + +Numba_ is not listed as an explicit dependency for scikit-network. However it is automatically +used whenever possible - unless specified otherwise by the user - in order to speed algorithm executions up. + +Note that when using a Numba-accelerated function for the first time in a session, +just-in-time compilation takes a few seconds. + About the documentation ----------------------- @@ -67,3 +76,5 @@ Notes * Nodes are indexed from 1 to :math:`n` in the documentation and from 0 to :math:`n-1` in the code * Bipartite graphs are undirected but have a special structure that is exploited by some algorithms +.. _Numba: https://numba.pydata.org + From a5ccaaaec0641205474ad0a5f3f38e779a2250d5 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 13:55:54 +0200 Subject: [PATCH 87/92] Better layout --- docs/_static/css/custom.css | 37 +++++++++++++++++++++++++++++++++++++ docs/_templates/layout.html | 10 ---------- docs/conf.py | 7 ++++--- 3 files changed, 41 insertions(+), 13 deletions(-) create mode 100644 docs/_static/css/custom.css delete mode 100644 docs/_templates/layout.html diff --git a/docs/_static/css/custom.css b/docs/_static/css/custom.css new file mode 100644 index 000000000..50354d2fc --- /dev/null +++ b/docs/_static/css/custom.css @@ -0,0 +1,37 @@ +html { + background-color: #e6e6e6; +} + +body.wy-body-for-nav { + line-height: 1.5em; + color: #333; +} + +div.wy-nav-side { + background-color: #333; +} + +div.wy-side-nav-search { + background-color: #777777; +} + + +div.wy-menu.wy-menu-vertical>p { + color: #ffffff /* section titles */ +} + +.wy-nav-top { + background-color: #777777; +} + +.wy-side-nav-search>a:hover, .wy-side-nav-search .wy-dropdown>a:hover { + background: None; /*background for logo when hovered*/ +} + +.wy-side-nav-search>div.version { + color: white; +} + +.wy-side-nav-search input[type=text] { + border-color: #d9d9d9; +} diff --git a/docs/_templates/layout.html b/docs/_templates/layout.html deleted file mode 100644 index c5f1414ad..000000000 --- a/docs/_templates/layout.html +++ /dev/null @@ -1,10 +0,0 @@ -{% extends "!layout.html" %} - {% block footer %} {{ super() }} - - -{% endblock %} diff --git a/docs/conf.py b/docs/conf.py index 159a912c8..ec33469d1 100755 --- a/docs/conf.py +++ b/docs/conf.py @@ -46,7 +46,7 @@ # Add any paths that contain templates here, relative to this directory. -templates_path = ['_templates'] +templates_path = [] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: @@ -109,7 +109,7 @@ # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = [] +html_static_path = ['_static'] # -- Options for HTMLHelp output --------------------------------------- @@ -174,4 +174,5 @@ ] - +def setup(app): + app.add_stylesheet('css/custom.css') From f58f93091bcbd917ba828b80295dd0c185e1def5 Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 17 Jul 2019 14:01:08 +0200 Subject: [PATCH 88/92] New pagerank (based on scipy spsolve) --- sknetwork/ranking/pagerank.py | 115 ++++------------------- sknetwork/ranking/tests/test_pagerank.py | 32 ++----- 2 files changed, 25 insertions(+), 122 deletions(-) diff --git a/sknetwork/ranking/pagerank.py b/sknetwork/ranking/pagerank.py index e3b3df42e..e99e6cb31 100644 --- a/sknetwork/ranking/pagerank.py +++ b/sknetwork/ranking/pagerank.py @@ -3,47 +3,15 @@ """ Created on May 31 2019 @author: Nathan de Lara -@author: Fabien Mathieu +@author: Thomas Bonald """ import numpy as np -from sknetwork import njit, prange -from sknetwork.utils.checks import check_format, has_nonnegative_entries, is_square, check_engine -from sknetwork.linalg.randomized_matrix_factorization import SparseLR, randomized_eig -from sknetwork.utils.algorithm_base_class import Algorithm from scipy import sparse +from scipy.sparse.linalg import spsolve from typing import Union - - -def diffusion(indptr: np.ndarray, indices: np.ndarray, data: np.ndarray, flow_history: np.ndarray, - current_flow: np.ndarray, damping_factor: float): - """Diffusion for D-iteration. - - Parameters - ---------- - indptr : n - Index pointer array of the normalized adjacency matrix. - indices : - Index array of the normalized adjacency matrix. - data : - Data array of the normalized adjacency matrix. - flow_history : - Past flow - current_flow : - Current flow - damping_factor : - Damping factor for D-iteration - - """ - active = np.nonzero(current_flow)[0] - for a in prange(len(active)): - i = active[a] - tmp = current_flow[i] - flow_history[i] += tmp - outnodes = indices[indptr[i]:indptr[i + 1]] - if outnodes.size: - current_flow[outnodes] += (damping_factor * tmp / outnodes.size) * data[indptr[i]:indptr[i + 1]] - current_flow[i] -= tmp +from sknetwork.utils.checks import check_format, has_nonnegative_entries, is_square +from sknetwork.utils.algorithm_base_class import Algorithm class PageRank(Algorithm): @@ -57,12 +25,6 @@ class PageRank(Algorithm): ---------- damping_factor : float Probability to continue the random walk. - method : str - Computation method. Must be ``'diter'`` or ``'spectral'``. - n_iter : int - Number of iterations if method is ``'diter'``. - parallel : bool - Enables parallelization (Numba required). Attributes ---------- @@ -79,36 +41,16 @@ class PageRank(Algorithm): References ---------- - * Hong, D., Huynh, T. D., & Mathieu, F. (2015). D-iteration: diffusion approach for solving pagerank. - arXiv preprint arXiv:1501.06350. - - * Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web. - Stanford InfoLab. + Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web. + Stanford InfoLab. """ - def __init__(self, engine='default', damping_factor: float = 0.85, method: str = 'diter', n_iter: int = 25, parallel: bool = False): + def __init__(self, damping_factor: float = 0.85): self.score_ = None - self.engine = check_engine(engine) - if damping_factor < 0. or damping_factor > 1.: + if damping_factor < 0 or damping_factor >= 1: raise ValueError('Damping factor must be between 0 and 1.') else: self.damping_factor = damping_factor - if method != 'diter' and method != 'spectral': - raise ValueError("Method must be 'diter' or 'spectral'.") - else: - self.method = method - - if type(n_iter) != int: - raise TypeError("Number of iterations must be an integer.") - elif n_iter <= 0: - raise ValueError("Number of iterations must be positive.'") - else: - self.n_iter = n_iter - if engine == 'python': - self.diffusion = diffusion - else: - self.diffusion = njit(diffusion, parallel=parallel) - def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], personalization: Union[None, np.ndarray] = None) -> 'PageRank': """Standard PageRank via matrix factorization or D-iteration. @@ -118,8 +60,8 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], adjacency : Adjacency matrix of the graph. personalization : - If ``None``, the uniform probability distribution over the nodes is used. - Otherwise, the user must provide a non-negative vector. + If ``None``, the uniform distribution is used. + Otherwise, a non-negative, non-zero vector must be provided. Returns ------- @@ -129,43 +71,24 @@ def fit(self, adjacency: Union[sparse.csr_matrix, np.ndarray], if not is_square(adjacency): raise ValueError('The adjacency matrix must be square.') else: - n_nodes: int = adjacency.shape[0] + n: int = adjacency.shape[0] - # pseudo inverse out-degree matrix - diag_out: sparse.csr_matrix = sparse.diags(adjacency.dot(np.ones(n_nodes)), - shape=(n_nodes, n_nodes), format='csr') + diag_out: sparse.csr_matrix = sparse.diags(adjacency.dot(np.ones(n)), shape=(n, n), format='csr') diag_out.data = 1 / diag_out.data - transition_matrix = diag_out.dot(adjacency) if personalization is None: - restart_prob: np.ndarray = np.ones(n_nodes) / n_nodes + restart_prob: np.ndarray = np.ones(n) / n else: - if has_nonnegative_entries(personalization) and len(personalization) == n_nodes: + if has_nonnegative_entries(personalization) and len(personalization) == n and np.sum(personalization): restart_prob = personalization.astype(float) / np.sum(personalization) else: - raise ValueError('Personalization must be None or a valid probability array.') - - if self.method == 'diter': - - current_flow = restart_prob - flow_history = -current_flow / 2 - - for i in range(self.n_iter): - self.diffusion(transition_matrix.indptr, transition_matrix.indices, transition_matrix.data, - flow_history, current_flow, self.damping_factor) - - self.score_ = abs(flow_history) / np.sum(abs(flow_history)) - - elif self.method == 'spectral': - - weight_matrix = sparse.eye(n_nodes, format='csr') - self.damping_factor * diag_out.astype(bool) - restart_prob = weight_matrix.dot(restart_prob) + raise ValueError('Personalization must be None or a non-negative, non-null vector.') - pagerank_matrix = SparseLR(self.damping_factor * transition_matrix, [(restart_prob, np.ones(n_nodes))]) - _, eigenvector = randomized_eig(pagerank_matrix, 1) + a = sparse.eye(n, format='csr') - self.damping_factor * transition_matrix.T + b = (1 - self.damping_factor * diag_out.data.astype(bool)) * restart_prob + x = spsolve(a, b) - self.score_ = abs(eigenvector.real) / abs(eigenvector.real).sum() - self.score_.reshape((self.score_.shape[0])) + self.score_ = abs(x.real) / abs(x.real).sum() return self diff --git a/sknetwork/ranking/tests/test_pagerank.py b/sknetwork/ranking/tests/test_pagerank.py index ce6126e03..da49dfaf8 100644 --- a/sknetwork/ranking/tests/test_pagerank.py +++ b/sknetwork/ranking/tests/test_pagerank.py @@ -13,33 +13,13 @@ class TestPageRank(unittest.TestCase): def setUp(self): self.adjacency = rock_paper_scissors() - self.spectral_ranking = PageRank(method='spectral') - self.no_damping_spectral_ranking = PageRank(damping_factor=0., method='spectral') - self.diter_ranking = PageRank() - self.no_damping_diter_ranking = PageRank(damping_factor=0.) - self.parallel_ranking = PageRank(parallel=True) + self.pagerank = PageRank() + self.pagerank_high_damping = PageRank(damping_factor=0.99) def test_pagerank(self): - self.spectral_ranking.fit(self.adjacency) - score = self.spectral_ranking.score_ + self.pagerank.fit(self.adjacency) + score = self.pagerank.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) - self.no_damping_spectral_ranking.fit(self.adjacency) - score = self.no_damping_spectral_ranking.score_ - self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) - self.spectral_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])) - score = self.spectral_ranking.score_ - self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0.) - self.diter_ranking.fit(self.adjacency) - score = self.diter_ranking.score_ - self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=2) - self.no_damping_diter_ranking.fit(self.adjacency) - score = self.no_damping_diter_ranking.score_ - self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=2) - self.diter_ranking.fit(self.adjacency, personalization=np.array([1, 0, 0])) - score = self.diter_ranking.score_ + self.pagerank_high_damping.fit(self.adjacency) + score = self.pagerank_high_damping.score_ self.assertAlmostEqual(np.linalg.norm(score - np.ones(3) / 3), 0., places=1) - - def test_parallelize(self): - self.parallel_ranking.fit(self.adjacency) - score = self.parallel_ranking.score_ - self.assertIsNotNone(score) From 7dab1041d10070aad5f185fe94e4e2464b483afd Mon Sep 17 00:00:00 2001 From: Thomas Bonald Date: Wed, 17 Jul 2019 14:02:51 +0200 Subject: [PATCH 89/92] New notebook --- docs/tutorials/pagerank.ipynb | 63 ++++++++++++++++++++--------------- 1 file changed, 36 insertions(+), 27 deletions(-) diff --git a/docs/tutorials/pagerank.ipynb b/docs/tutorials/pagerank.ipynb index fc0e9a1c4..3be59d4ea 100644 --- a/docs/tutorials/pagerank.ipynb +++ b/docs/tutorials/pagerank.ipynb @@ -91,7 +91,7 @@ "metadata": {}, "outputs": [], "source": [ - "pagerank = skn.ranking.PageRank('python')" + "pagerank = skn.ranking.PageRank()" ] }, { @@ -102,7 +102,7 @@ { "data": { "text/plain": [ - "PageRank(engine='python', damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(damping_factor=0.85)" ] }, "execution_count": 5, @@ -164,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:55.341520Z", @@ -174,7 +174,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -197,7 +197,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -206,7 +206,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -217,7 +217,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:53.130694Z", @@ -228,10 +228,10 @@ { "data": { "text/plain": [ - "PageRank(engine='python', damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(damping_factor=0.85)" ] }, - "execution_count": 16, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -242,7 +242,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -258,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.518668Z", @@ -268,7 +268,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -291,16 +291,16 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "PageRank(engine='numba', damping_factor=0.85, method='diter', n_iter=25)" + "PageRank(damping_factor=0.85)" ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -313,11 +313,11 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ - "pagerank = skn.ranking.PageRank(damping_factor=1)\n", + "pagerank = skn.ranking.PageRank(damping_factor=.99)\n", "pagerank.fit(adjacency)\n", "score = pagerank.score_" ] @@ -338,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2019-07-15T12:29:58.542147Z", @@ -353,7 +353,7 @@ "\twith 50 stored elements in Compressed Sparse Row format>" ] }, - "execution_count": 21, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -370,6 +370,15 @@ "**Ranking**" ] }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "pagerank = skn.ranking.PageRank()" + ] + }, { "cell_type": "code", "execution_count": 22, @@ -378,7 +387,7 @@ { "data": { "text/plain": [ - "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" + "PageRank(damping_factor=0.85)" ] }, "execution_count": 22, @@ -450,7 +459,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -504,7 +513,7 @@ { "data": { "text/plain": [ - "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" + "PageRank(damping_factor=0.85)" ] }, "execution_count": 31, @@ -544,7 +553,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -633,7 +642,7 @@ { "data": { "text/plain": [ - "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" + "PageRank(damping_factor=0.85)" ] }, "execution_count": 36, @@ -747,7 +756,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -812,7 +821,7 @@ { "data": { "text/plain": [ - "PageRank(engine='numba', damping_factor=1, method='diter', n_iter=25)" + "PageRank(damping_factor=0.85)" ] }, "execution_count": 46, @@ -852,7 +861,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] From be02a5638975b21e26d15dc8d44298411312f833 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 14:05:52 +0200 Subject: [PATCH 90/92] Test correction --- sknetwork/utils/tests/test_algorithm_base_class.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/sknetwork/utils/tests/test_algorithm_base_class.py b/sknetwork/utils/tests/test_algorithm_base_class.py index 0bd05ab1f..d2903165e 100644 --- a/sknetwork/utils/tests/test_algorithm_base_class.py +++ b/sknetwork/utils/tests/test_algorithm_base_class.py @@ -18,8 +18,7 @@ def setUp(self): self.engine = check_engine('default') def test_reprs(self): - self.assertEqual(str(self.pagerank), "PageRank(engine='{}', " - "damping_factor=0.85, method='diter', n_iter=25)".format(self.engine)) + self.assertEqual(str(self.pagerank), "PageRank(damping_factor=0.85)") self.assertEqual(str(self.paris), "Paris(engine='{}')".format(self.engine)) self.assertEqual(str(self.louvain), "Louvain(algorithm=GreedyModularity(resolution=1, " "tol=0, engine='{}'), agg_tol=0.001, max_agg_iter=-1, " From 318c10d8b4ce8ca3a4266969dc9080fd3c730943 Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 14:08:39 +0200 Subject: [PATCH 91/92] Prep for 0.8.0 --- HISTORY.rst | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/HISTORY.rst b/HISTORY.rst index 84425644c..26e1ae2bd 100644 --- a/HISTORY.rst +++ b/HISTORY.rst @@ -2,6 +2,14 @@ History ======= +0.8.0 (2019-07-17) +------------------ + +* Changed Louvain, BiLouvain, Paris and PageRank APIs +* Changed PageRank method +* Documentation overhaul +* Improved Jupyter tutorials + 0.7.1 (2019-07-04) ------------------ From f00e2d1b7b1d8f3af19b99b06842a00fff6f6e6c Mon Sep 17 00:00:00 2001 From: Quentin L Date: Wed, 17 Jul 2019 14:09:02 +0200 Subject: [PATCH 92/92] =?UTF-8?q?Bump=20version:=200.7.1=20=E2=86=92=200.8?= =?UTF-8?q?.0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- setup.cfg | 2 +- setup.py | 2 +- sknetwork/__init__.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/setup.cfg b/setup.cfg index 813dd1535..f94e213da 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.7.1 +current_version = 0.8.0 commit = True tag = True diff --git a/setup.py b/setup.py index 8c4c3bea0..ea71d2294 100644 --- a/setup.py +++ b/setup.py @@ -45,6 +45,6 @@ test_suite='tests', tests_require=test_requirements, url='https://github.com/sknetwork-team/scikit-network', - version='0.7.1', + version='0.8.0', zip_safe=False, ) diff --git a/sknetwork/__init__.py b/sknetwork/__init__.py index 5e1cd8978..0bd039922 100644 --- a/sknetwork/__init__.py +++ b/sknetwork/__init__.py @@ -4,7 +4,7 @@ __author__ = """scikit-network team""" __email__ = "bonald@enst.fr" -__version__ = '0.7.1' +__version__ = '0.8.0' import numpy as np