Method test_graph

networkx/tests/test_convert.py:102–132

(self)

            assert sorted(G.edges()) == sorted(GI.edges())

    def test_graph(self):
        g = nx.cycle_graph(10)
        G = nx.Graph()
        G.add_nodes_from(g)
        G.add_weighted_edges_from((u, v, u) for u, v in g.edges())

        # Dict of dicts
        dod = to_dict_of_dicts(G)
        GG = from_dict_of_dicts(dod, create_using=nx.Graph)
        assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
        assert edges_equal(sorted(G.edges()), sorted(GG.edges()))
        GW = to_networkx_graph(dod, create_using=nx.Graph)
        assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
        assert edges_equal(sorted(G.edges()), sorted(GW.edges()))
        GI = nx.Graph(dod)
        assert sorted(G.nodes()) == sorted(GI.nodes())
        assert sorted(G.edges()) == sorted(GI.edges())

        # Dict of lists
        dol = to_dict_of_lists(G)
        GG = from_dict_of_lists(dol, create_using=nx.Graph)
        # dict of lists throws away edge data so set it to none
        enone = [(u, v, {}) for (u, v, d) in G.edges(data=True)]
        assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
        assert edges_equal(enone, sorted(GG.edges(data=True)))
        GW = to_networkx_graph(dol, create_using=nx.Graph)
        assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
        assert edges_equal(enone, sorted(GW.edges(data=True)))
        GI = nx.Graph(dol)
        assert nodes_equal(sorted(G.nodes()), sorted(GI.nodes()))
        assert edges_equal(enone, sorted(GI.edges(data=True)))

    def test_with_multiedges_self_loops(self):
        G = cycle_graph(10)