test_covering.py 1.2 KB

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  1. import networkx as nx
  2. from networkx.algorithms import bipartite
  3. class TestMinEdgeCover:
  4. """Tests for :func:`networkx.algorithms.bipartite.min_edge_cover`"""
  5. def test_empty_graph(self):
  6. G = nx.Graph()
  7. assert bipartite.min_edge_cover(G) == set()
  8. def test_graph_single_edge(self):
  9. G = nx.Graph()
  10. G.add_edge(0, 1)
  11. assert bipartite.min_edge_cover(G) == {(0, 1), (1, 0)}
  12. def test_bipartite_default(self):
  13. G = nx.Graph()
  14. G.add_nodes_from([1, 2, 3, 4], bipartite=0)
  15. G.add_nodes_from(["a", "b", "c"], bipartite=1)
  16. G.add_edges_from([(1, "a"), (1, "b"), (2, "b"), (2, "c"), (3, "c"), (4, "a")])
  17. min_cover = bipartite.min_edge_cover(G)
  18. assert nx.is_edge_cover(G, min_cover)
  19. assert len(min_cover) == 8
  20. def test_bipartite_explicit(self):
  21. G = nx.Graph()
  22. G.add_nodes_from([1, 2, 3, 4], bipartite=0)
  23. G.add_nodes_from(["a", "b", "c"], bipartite=1)
  24. G.add_edges_from([(1, "a"), (1, "b"), (2, "b"), (2, "c"), (3, "c"), (4, "a")])
  25. min_cover = bipartite.min_edge_cover(G, bipartite.eppstein_matching)
  26. assert nx.is_edge_cover(G, min_cover)
  27. assert len(min_cover) == 8