def test_ErdosRenyi(capsys):
print(Network.Model("ErdosRenyi", n_nodes=10, n_links=18))
out, err = capsys.readouterr()
out_ref = "Generating Erdos-Renyi random graph with 10 " + \
"nodes and 18 links...\n" + \
"Network: undirected, 10 nodes, 18 links, link density 0.400.\n"
assert out == out_ref
def test_WattsStrogatz():
net = Network.Model("WattsStrogatz", N=100, k=2, p=0.1)
assert int(round(net.degree().mean())) == 4
def test_ConfigurationModel():
net = Network.Model("Configuration", degrees=[3 for _ in range(0, 1000)])
assert int(round(net.degree().mean())) == 3
def test_BarabasiAlbert_igraph():
net = Network.Model("BarabasiAlbert_igraph", n_nodes=100, n_links_each=1)
assert np.allclose(net.link_density, 0.02)