| #!/usr/bin/env python |
| from nose.tools import * |
| import networkx |
| |
| class TestRandomClusteredGraph: |
| |
| def test_valid(self): |
| node=[1,1,1,2,1,2,0,0] |
| tri=[0,0,0,0,0,1,1,1] |
| joint_degree_sequence=zip(node,tri) |
| G = networkx.random_clustered_graph(joint_degree_sequence) |
| assert_equal(G.number_of_nodes(),8) |
| assert_equal(G.number_of_edges(),7) |
| |
| def test_valid2(self): |
| G = networkx.random_clustered_graph(\ |
| [(1,2),(2,1),(1,1),(1,1),(1,1),(2,0)]) |
| assert_equal(G.number_of_nodes(),6) |
| assert_equal(G.number_of_edges(),10) |
| |
| def test_invalid1(self): |
| assert_raises((TypeError,networkx.NetworkXError), |
| networkx.random_clustered_graph,[[1,1],[2,1],[0,1]]) |
| |
| def test_invalid2(self): |
| assert_raises((TypeError,networkx.NetworkXError), |
| networkx.random_clustered_graph,[[1,1],[1,2],[0,1]]) |
| |