annotate env/lib/python3.9/site-packages/networkx/algorithms/centrality/tests/test_current_flow_closeness.py @ 0:4f3585e2f14b draft default tip

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
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1 import pytest
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2
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3 np = pytest.importorskip("numpy")
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4 scipy = pytest.importorskip("scipy")
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5
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6 import networkx as nx
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7 from networkx.testing import almost_equal
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8
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9
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10 class TestFlowClosenessCentrality:
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11 def test_K4(self):
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12 """Closeness centrality: K4"""
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13 G = nx.complete_graph(4)
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14 b = nx.current_flow_closeness_centrality(G)
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15 b_answer = {0: 2.0 / 3, 1: 2.0 / 3, 2: 2.0 / 3, 3: 2.0 / 3}
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16 for n in sorted(G):
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17 assert almost_equal(b[n], b_answer[n])
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18
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19 def test_P4(self):
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20 """Closeness centrality: P4"""
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21 G = nx.path_graph(4)
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22 b = nx.current_flow_closeness_centrality(G)
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23 b_answer = {0: 1.0 / 6, 1: 1.0 / 4, 2: 1.0 / 4, 3: 1.0 / 6}
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24 for n in sorted(G):
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25 assert almost_equal(b[n], b_answer[n])
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27 def test_star(self):
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28 """Closeness centrality: star """
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29 G = nx.Graph()
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30 nx.add_star(G, ["a", "b", "c", "d"])
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31 b = nx.current_flow_closeness_centrality(G)
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32 b_answer = {"a": 1.0 / 3, "b": 0.6 / 3, "c": 0.6 / 3, "d": 0.6 / 3}
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33 for n in sorted(G):
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34 assert almost_equal(b[n], b_answer[n])
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35
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36
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37 class TestWeightedFlowClosenessCentrality:
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38 pass