def test_cubical(self):
G = nx.cubical_graph()
assert list(nx.triangles(G).values()) == [0, 0, 0, 0, 0, 0, 0, 0]
assert nx.triangles(G, 1) == 0
assert list(nx.triangles(G, [1, 2]).values()) == [0, 0]
assert nx.triangles(G, 1) == 0
assert nx.triangles(G, [1, 2]) == {1: 0, 2: 0}
def test_cubical(self):
G = nx.cubical_graph()
assert list(nx.square_clustering(G).values()) == [
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
]
assert list(nx.square_clustering(G, [1, 2]).values()) == [0.5, 0.5]
assert nx.square_clustering(G, [1])[1] == 0.5
assert nx.square_clustering(G, [1, 2]) == {1: 0.5, 2: 0.5}
def test_cubical(self):
G = nx.cubical_graph()
assert list(nx.clustering(G, weight="weight").values()) == [
0,
0,
0,
0,
0,
0,
0,
0,
]
assert nx.clustering(G, 1) == 0
assert list(nx.clustering(G, [1, 2], weight="weight").values()) == [0, 0]
assert nx.clustering(G, 1, weight="weight") == 0
assert nx.clustering(G, [1, 2], weight="weight") == {1: 0, 2: 0}
def test_cubical(self):
G = nx.cubical_graph()
assert nx.generalized_degree(G, 0) == {0: 3}
def test_cubical(self):
G = nx.cubical_graph()
assert nx.transitivity(G) == 0.0