def test_internal_adjacency():
net = InteractingNetworks.SmallTestNetwork()
res = net.internal_adjacency([0, 3, 5])
exp = np.array([[0, 1, 1], [1, 0, 0], [1, 0, 0]], dtype=np.int8)
assert (res == exp).all()
res = net.internal_adjacency([1, 2, 4])
exp = np.array([[0, 1, 1], [1, 0, 1], [1, 1, 0]], dtype=np.int8)
assert (res == exp).all()
def test_internal_global_clustering():
net = InteractingNetworks.SmallTestNetwork()
res = net.internal_global_clustering([0, 3, 5])
exp = 0.0
assert np.isclose(res, exp, atol=1e-04)
res = net.internal_global_clustering([1, 2, 4])
exp = 0.5556
assert np.isclose(res, exp, atol=1e-04)
def test_internal_link_density():
net = InteractingNetworks.SmallTestNetwork()
res = net.internal_link_density([0, 3, 5])
exp = 0.6667
assert np.isclose(res, exp, atol=1e-04)
res = net.internal_link_density([1, 2, 3, 4])
exp = 0.6667
assert np.isclose(res, exp, atol=1e-04)
def test_cross_link_density():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_link_density([0, 3, 5], [1, 2, 4])
exp = 0.2222
assert np.isclose(res, exp, atol=1e-04)
res = net.cross_link_density([0, 5], [1, 2, 3, 4])
exp = 0.25
assert np.isclose(res, exp, atol=1e-04)
def test_nsi_cross_degree():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_degree([0, 1, 2], [3, 4, 5])
exp = np.array([4.2, 2.6, 1.4])
assert np.allclose(res, exp, atol=1e-04)
res = net.nsi_cross_degree([0, 2, 5], [1, 4])
exp = np.array([1.4, 2.2, 0.])
assert np.allclose(res, exp, atol=1e-04)
def test_cross_path_lengths():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_path_lengths([0, 3, 5], [1, 2, 4], None)
exp = np.array([[2., 2., 1.], [1., 2., 2.], [3., 3., 2.]])
assert np.allclose(res, exp, atol=1e-04)
res = net.cross_path_lengths([0, 5], [1, 2, 3, 4], None)
exp = np.array([[2., 2., 1., 1.], [3., 3., 2., 2.]])
assert np.allclose(res, exp, atol=1e-04)
def test_nsi_internal_degree():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_internal_degree([0, 3, 5])
exp = np.array([3.4, 1.8, 2.2])
assert np.allclose(res, exp, atol=1e-04)
res = net.nsi_internal_degree([0, 1, 3, 5])
exp = np.array([3.4, 2., 2.6, 2.2])
assert np.allclose(res, exp, atol=1e-04)
def test_number_cross_links():
net = InteractingNetworks.SmallTestNetwork()
res = net.number_cross_links([0, 3, 5], [1, 2, 4])
exp = 2
assert res == exp
res = net.number_cross_links([0, 5], [1, 2, 3, 4])
exp = 2
assert res == exp
def test_nsi_cross_betweenness():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_betweenness([0, 4, 5], [1, 3])
exp = np.array([6.5333, 1.2, 0., 0.6769, 0.6769, 0.])
assert np.allclose(res, exp, atol=1e-04)
res = net.nsi_cross_betweenness([0, 1], [2, 3, 4, 5])
exp = np.array([2.1333, 0., 0., 0.4923, 0.9209, 0.])
assert np.allclose(res, exp, atol=1e-04)
def test_nsi_internal_closeness_centrality():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_internal_closeness_centrality([0, 3, 5])
exp = np.array([1., 0.68, 0.73913043])
assert np.allclose(res, exp, atol=1e-04)
res = net.nsi_internal_closeness_centrality([0, 1, 3, 5])
exp = np.array([0.84, 0.525, 0.72413793, 0.6])
assert np.allclose(res, exp, atol=1e-04)
def test_nsi_internal_local_clustering():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_internal_local_clustering([1, 2, 3, 5])
exp = np.array([0.73333333, 1., 1., 1.])
assert np.allclose(res, exp, atol=1e-04)
res = net.nsi_internal_local_clustering([0, 2, 4])
exp = np.array([1., 1., 0.86666667])
assert np.allclose(res, exp, atol=1e-04)
def test_internal_average_path_length():
net = InteractingNetworks.SmallTestNetwork()
res = net.internal_average_path_length([0, 3, 5], None)
exp = 1.3333
assert np.isclose(res, exp, atol=1e-04)
res = net.internal_average_path_length([1, 2, 4], None)
exp = 1.0
assert np.isclose(res, exp, atol=1e-04)
def test_nsi_cross_closeness_centrality():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_closeness_centrality([0, 1, 2], [3, 4, 5])
exp = np.array([1., 0.56756757, 0.48837209])
assert np.allclose(res, exp, atol=1e-04)
res = net.nsi_cross_closeness_centrality([0, 2, 5], [1, 4])
exp = np.array([0.73333333, 1., 0.42307692])
assert np.allclose(res, exp, atol=1e-04)
def test_nsi_cross_mean_degree():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_mean_degree([0, 1, 2], [3, 4, 5])
exp = 2.5
assert np.isclose(res, exp, atol=1e-04)
res = net.nsi_cross_mean_degree([0, 2, 5], [1, 4])
exp = 0.95
assert np.isclose(res, exp, atol=1e-04)
def test_cross_average_path_length():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_average_path_length([0, 3, 5], [1, 2, 4], None)
exp = 2.0
assert np.isclose(res, exp, atol=1e-04)
res = net.cross_average_path_length([0, 5], [1, 2, 3, 4], None)
exp = 2.0
assert np.isclose(res, exp, atol=1e-04)
def test_number_internal_links():
net = InteractingNetworks.SmallTestNetwork()
res = net.number_internal_links([0, 3, 5])
exp = 2
assert res == exp
res = net.number_internal_links([1, 2, 4])
exp = 3
assert res == exp
def test_cross_adjacency():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_adjacency([1, 2, 4], [0, 3, 5])
exp = np.array([[0, 1, 0], [0, 0, 0], [1, 0, 0]])
assert (res == exp).all()
res = net.cross_adjacency([1, 2, 3, 4], [0, 5])
exp = np.array([[0, 0], [0, 0], [1, 0], [1, 0]])
assert (res == exp).all()
def test_internal_closeness():
net = InteractingNetworks.SmallTestNetwork()
res = net.internal_closeness([0, 3, 5], None)
exp = np.array([1., 0.66666667, 0.66666667])
assert np.allclose(res, exp, atol=1e-04)
res = net.internal_closeness([1, 2, 4], None)
exp = np.array([1., 1., 1.])
assert np.allclose(res, exp, atol=1e-04)
def test_cross_betweenness():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_betweenness([2], [3, 5])
exp = np.array([1., 1., 0., 0., 1., 0.])
assert np.allclose(res, exp, atol=1e-04)
res = net.cross_betweenness(range(0, 6), range(0, 6))
exp = np.array([9., 3., 0., 2., 6., 0.])
assert np.allclose(res, exp, atol=1e-04)
def test_cross_closeness():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_closeness([0, 3, 5], [1, 2, 4], None)
exp = np.array([0.6, 0.6, 0.375])
assert np.allclose(res, exp, atol=1e-04)
res = net.cross_closeness([0, 5], [1, 2, 3, 4], None)
exp = np.array([0.66666667, 0.4])
assert np.allclose(res, exp, atol=1e-04)
def test_nsi_cross_transitivity():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_transitivity([1, 2], [0, 3, 4, 5])
exp = 0.6352
assert np.isclose(res, exp, atol=1e-04)
res = net.nsi_cross_transitivity([0, 2, 3], [1])
exp = 1.0
assert np.isclose(res, exp, atol=1e-04)
def test_nsi_cross_average_path_length():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_average_path_length([0, 5], [1, 2, 4])
exp = 3.3306
assert np.isclose(res, exp, atol=1e-04)
res = net.nsi_cross_average_path_length([1, 3, 4, 5], [2])
exp = 0.376
assert np.isclose(res, exp, atol=1e-04)
def test_nsi_cross_edge_density():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_edge_density([1, 2, 3], [0, 5])
exp = 0.1091
assert np.isclose(res, exp, atol=1e-04)
res = net.nsi_cross_edge_density([0], [1, 4, 5])
exp = 0.7895
assert np.isclose(res, exp, atol=1e-04)
def test_nsi_cross_local_clustering():
net = InteractingNetworks.SmallTestNetwork()
res = net.nsi_cross_local_clustering([0, 1, 2], [3, 4, 5])
exp = np.array([0.33786848, 0.50295858, 1.])
assert np.allclose(res, exp, atol=1e-04)
res = net.nsi_cross_local_clustering([0, 2, 5], [1, 4])
exp = np.array([1., 1., 0.])
assert np.allclose(res, exp, atol=1e-04)
def test_cross_transitivity():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_transitivity([0, 3, 5], [1, 2, 4])
exp = 0.0
assert np.isclose(res, exp, atol=1e-04)
res = net.cross_transitivity([2], [1, 3, 4])
exp = 1.0
assert np.isclose(res, exp, atol=1e-04)
res = net.cross_transitivity([3, 4], [1, 2])
exp = 1.0
def test_RandomlyRewireCrossLinks():
net = InteractingNetworks.SmallTestNetwork()
rewired_net = net.RandomlyRewireCrossLinks(network=net,
node_list1=[0, 3, 5],
node_list2=[1, 2, 4],
swaps=10.)
res = rewired_net.degree()
exp = [3, 3, 2, 2, 3, 1]
assert (res == exp).all()
res = rewired_net.cross_degree(node_list1=[0, 3, 5], node_list2=[1, 2, 4])
exp = [1, 1, 0]
assert (res == exp).all()
def test_cross_local_clustering_sparse():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_local_clustering_sparse([0, 3, 5], [1, 2, 4])
exp = np.array([0., 0., 0.])
assert np.allclose(res, exp, atol=1e-04)
res = net.cross_local_clustering_sparse([2], [1, 3, 4])
exp = np.array([1.])
assert np.allclose(res, exp, atol=1e-04)
res = net.cross_local_clustering_sparse([3, 4], [1, 2])
exp = np.array([0., 1.])
assert np.allclose(res, exp, atol=1e-04)
def test_cross_degree():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_degree([0, 3, 5], [1, 2, 4])
exp = np.array([1, 1, 0])
assert (res == exp).all()
res = net.cross_degree([1, 2, 4], [0, 3, 5])
exp = np.array([1, 0, 1])
assert (res == exp).all()
res = net.cross_degree([1, 2, 3, 4], [0, 5])
exp = np.array([0, 0, 1, 1])
assert (res == exp).all()
def test_cross_global_clustering_sparse():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_global_clustering_sparse([0, 3, 5], [1, 2, 4])
exp = 0.0
assert np.isclose(res, exp, atol=1e-04)
res = net.cross_global_clustering_sparse([2], [1, 3, 4])
exp = 1.0
assert np.isclose(res, exp, atol=1e-04)
res = net.cross_global_clustering_sparse([3, 4], [1, 2])
exp = 0.5
assert np.isclose(res, exp, atol=1e-04)
def test_cross_link_attribute():
net = InteractingNetworks.SmallTestNetwork()
res = net.cross_link_attribute("link_weights", [1, 2, 3], [0, 4])
exp = np.array([[0., 2.7], [0., 1.5], [1.3, 0.]])
assert np.allclose(res, exp, atol=1e-04)
