def test_non_randomness():
try:
import numpy.testing as npt
except ImportError:
raise SkipTest('numpy not available.')
G = nx.karate_club_graph()
npt.assert_almost_equal(nx.non_randomness(G, 2)[0], 11.7, decimal=2)
npt.assert_almost_equal(nx.non_randomness(G)[0], 7.21,
decimal=2) # infers 3 communities
def test_non_randomness():
G = nx.karate_club_graph()
npt.assert_almost_equal(nx.non_randomness(G, 2)[0], 11.7, decimal=2)
npt.assert_almost_equal(nx.non_randomness(G)[0], 7.21,
decimal=2) # infers 3 communities
def test_non_connected():
G = nx.Graph()
G.add_edge(1, 2)
G.add_node(3)
with pytest.raises(nx.NetworkXException):
nx.non_randomness(G)
def test_self_loops():
G = nx.Graph()
G.add_edge(1, 2)
G.add_edge(1, 1)
with pytest.raises(nx.NetworkXError):
nx.non_randomness(G)
def test_non_randomness(k, weight, expected):
G = nx.karate_club_graph()
np.testing.assert_almost_equal(nx.non_randomness(G, k, weight)[0],
expected,
decimal=2)