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- import pytest
- import networkx as nx
- def test_richclub():
- G = nx.Graph([(0, 1), (0, 2), (1, 2), (1, 3), (1, 4), (4, 5)])
- rc = nx.richclub.rich_club_coefficient(G, normalized=False)
- assert rc == {0: 12.0 / 30, 1: 8.0 / 12}
- # test single value
- rc0 = nx.richclub.rich_club_coefficient(G, normalized=False)[0]
- assert rc0 == 12.0 / 30.0
- def test_richclub_seed():
- G = nx.Graph([(0, 1), (0, 2), (1, 2), (1, 3), (1, 4), (4, 5)])
- rcNorm = nx.richclub.rich_club_coefficient(G, Q=2, seed=1)
- assert rcNorm == {0: 1.0, 1: 1.0}
- def test_richclub_normalized():
- G = nx.Graph([(0, 1), (0, 2), (1, 2), (1, 3), (1, 4), (4, 5)])
- rcNorm = nx.richclub.rich_club_coefficient(G, Q=2)
- assert rcNorm == {0: 1.0, 1: 1.0}
- def test_richclub2():
- T = nx.balanced_tree(2, 10)
- rc = nx.richclub.rich_club_coefficient(T, normalized=False)
- assert rc == {
- 0: 4092 / (2047 * 2046.0),
- 1: (2044.0 / (1023 * 1022)),
- 2: (2040.0 / (1022 * 1021)),
- }
- def test_richclub3():
- # tests edgecase
- G = nx.karate_club_graph()
- rc = nx.rich_club_coefficient(G, normalized=False)
- assert rc == {
- 0: 156.0 / 1122,
- 1: 154.0 / 1056,
- 2: 110.0 / 462,
- 3: 78.0 / 240,
- 4: 44.0 / 90,
- 5: 22.0 / 42,
- 6: 10.0 / 20,
- 7: 10.0 / 20,
- 8: 10.0 / 20,
- 9: 6.0 / 12,
- 10: 2.0 / 6,
- 11: 2.0 / 6,
- 12: 0.0,
- 13: 0.0,
- 14: 0.0,
- 15: 0.0,
- }
- def test_richclub4():
- G = nx.Graph()
- G.add_edges_from(
- [(0, 1), (0, 2), (0, 3), (0, 4), (4, 5), (5, 9), (6, 9), (7, 9), (8, 9)]
- )
- rc = nx.rich_club_coefficient(G, normalized=False)
- assert rc == {0: 18 / 90.0, 1: 6 / 12.0, 2: 0.0, 3: 0.0}
- def test_richclub_exception():
- with pytest.raises(nx.NetworkXNotImplemented):
- G = nx.DiGraph()
- nx.rich_club_coefficient(G)
- def test_rich_club_exception2():
- with pytest.raises(nx.NetworkXNotImplemented):
- G = nx.MultiGraph()
- nx.rich_club_coefficient(G)
- def test_rich_club_selfloop():
- G = nx.Graph() # or DiGraph, MultiGraph, MultiDiGraph, etc
- G.add_edge(1, 1) # self loop
- G.add_edge(1, 2)
- with pytest.raises(
- Exception,
- match="rich_club_coefficient is not implemented for " "graphs with self loops.",
- ):
- nx.rich_club_coefficient(G)
- # def test_richclub2_normalized():
- # T = nx.balanced_tree(2,10)
- # rcNorm = nx.richclub.rich_club_coefficient(T,Q=2)
- # assert_true(rcNorm[0] ==1.0 and rcNorm[1] < 0.9 and rcNorm[2] < 0.9)
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