def test_path_graph(): G = nx.path_graph(4) answer = {0: 0.5, 1: 0.5, 2: 0.5, 3: 0.5} assert_equal(nx.bipartite_clustering(G, mode="dot"), answer) assert_equal(nx.bipartite_clustering(G, mode="max"), answer) answer = {0: 1, 1: 1, 2: 1, 3: 1} assert_equal(nx.bipartite_clustering(G, mode="min"), answer)
def test_path_graph(): G = nx.path_graph(4) answer = {0: 0.5, 1: 0.5, 2: 0.5, 3: 0.5} assert_equal(nx.bipartite_clustering(G, mode='dot'), answer) assert_equal(nx.bipartite_clustering(G, mode='max'), answer) answer = {0: 1, 1: 1, 2: 1, 3: 1} assert_equal(nx.bipartite_clustering(G, mode='min'), answer)
def test_star_graph(): G = nx.star_graph(3) # all modes are the same answer = {0: 0, 1: 1, 2: 1, 3: 1} assert_equal(nx.bipartite_clustering(G, mode="dot"), answer) assert_equal(nx.bipartite_clustering(G, mode="min"), answer) assert_equal(nx.bipartite_clustering(G, mode="max"), answer)
def test_star_graph(): G = nx.star_graph(3) # all modes are the same answer = {0: 0, 1: 1, 2: 1, 3: 1} assert_equal(nx.bipartite_clustering(G, mode='dot'), answer) assert_equal(nx.bipartite_clustering(G, mode='min'), answer) assert_equal(nx.bipartite_clustering(G, mode='max'), answer)