def test_cubical(self):
G = nx.cubical_graph()
assert nx.generalized_degree(G, 0) == {0: 3}
def test_k5(self):
G = nx.complete_graph(5)
assert nx.generalized_degree(G, 0) == {3: 4}
G.remove_edge(0, 1)
assert nx.generalized_degree(G, 0) == {2: 3}
def test_generalized_degree(self):
G = nx.Graph()
assert nx.generalized_degree(G) == {}
def test_path(self):
G = nx.path_graph(5)
assert nx.generalized_degree(G, 0) == {0: 1}
assert nx.generalized_degree(G, 1) == {0: 2}
def test_k5(self):
G = nx.complete_graph(5)
assert_equal(nx.generalized_degree(G,0), {3: 4})
G.remove_edge(0,1)
assert_equal(nx.generalized_degree(G, 0), {2: 3})
def test_cubical(self):
G = nx.cubical_graph()
assert_equal(nx.generalized_degree(G,0), {0: 3})
def test_path(self):
G = nx.path_graph(5)
assert_equal(nx.generalized_degree(G,0), {0: 1})
assert_equal(nx.generalized_degree(G,1), {0: 2})
def test_generalized_degree(self):
G = nx.Graph()
assert_equal(nx.generalized_degree(G),{})
def analyze_clustering():
print("Average clustering:", nx.average_clustering(network))
print("Clustering:", nx.clustering(network))
print("Generalized degree:", nx.generalized_degree(network))
