Mercurial > repos > shellac > sam_consensus_v3
view env/lib/python3.9/site-packages/networkx/algorithms/centrality/tests/test_percolation_centrality.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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import networkx as nx from networkx.testing import almost_equal def example1a_G(): G = nx.Graph() G.add_node(1, percolation=0.1) G.add_node(2, percolation=0.2) G.add_node(3, percolation=0.2) G.add_node(4, percolation=0.2) G.add_node(5, percolation=0.3) G.add_node(6, percolation=0.2) G.add_node(7, percolation=0.5) G.add_node(8, percolation=0.5) G.add_edges_from([(1, 4), (2, 4), (3, 4), (4, 5), (5, 6), (6, 7), (6, 8)]) return G def example1b_G(): G = nx.Graph() G.add_node(1, percolation=0.3) G.add_node(2, percolation=0.5) G.add_node(3, percolation=0.5) G.add_node(4, percolation=0.2) G.add_node(5, percolation=0.3) G.add_node(6, percolation=0.2) G.add_node(7, percolation=0.1) G.add_node(8, percolation=0.1) G.add_edges_from([(1, 4), (2, 4), (3, 4), (4, 5), (5, 6), (6, 7), (6, 8)]) return G class TestPercolationCentrality: def test_percolation_example1a(self): """percolation centrality: example 1a""" G = example1a_G() p = nx.percolation_centrality(G) p_answer = {4: 0.625, 6: 0.667} for n in p_answer: assert almost_equal(p[n], p_answer[n], places=3) def test_percolation_example1b(self): """percolation centrality: example 1a""" G = example1b_G() p = nx.percolation_centrality(G) p_answer = {4: 0.825, 6: 0.4} for n in p_answer: assert almost_equal(p[n], p_answer[n], places=3) def test_converge_to_betweenness(self): """percolation centrality: should converge to betweenness centrality when all nodes are percolated the same""" # taken from betweenness test test_florentine_families_graph G = nx.florentine_families_graph() b_answer = { "Acciaiuoli": 0.000, "Albizzi": 0.212, "Barbadori": 0.093, "Bischeri": 0.104, "Castellani": 0.055, "Ginori": 0.000, "Guadagni": 0.255, "Lamberteschi": 0.000, "Medici": 0.522, "Pazzi": 0.000, "Peruzzi": 0.022, "Ridolfi": 0.114, "Salviati": 0.143, "Strozzi": 0.103, "Tornabuoni": 0.092, } p_states = {k: 1.0 for k, v in b_answer.items()} p_answer = nx.percolation_centrality(G, states=p_states) for n in sorted(G): assert almost_equal(p_answer[n], b_answer[n], places=3) p_states = {k: 0.3 for k, v in b_answer.items()} p_answer = nx.percolation_centrality(G, states=p_states) for n in sorted(G): assert almost_equal(p_answer[n], b_answer[n], places=3)