test_subgraphviews.py 13 KB

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  1. import pytest
  2. import networkx as nx
  3. from networkx.utils import edges_equal
  4. class TestSubGraphView:
  5. gview = staticmethod(nx.graphviews.subgraph_view)
  6. graph = nx.Graph
  7. hide_edges_filter = staticmethod(nx.filters.hide_edges)
  8. show_edges_filter = staticmethod(nx.filters.show_edges)
  9. @classmethod
  10. def setup_class(cls):
  11. cls.G = nx.path_graph(9, create_using=cls.graph())
  12. cls.hide_edges_w_hide_nodes = {(3, 4), (4, 5), (5, 6)}
  13. def test_hidden_nodes(self):
  14. hide_nodes = [4, 5, 111]
  15. nodes_gone = nx.filters.hide_nodes(hide_nodes)
  16. gview = self.gview
  17. print(gview)
  18. G = gview(self.G, filter_node=nodes_gone)
  19. assert self.G.nodes - G.nodes == {4, 5}
  20. assert self.G.edges - G.edges == self.hide_edges_w_hide_nodes
  21. if G.is_directed():
  22. assert list(G[3]) == []
  23. assert list(G[2]) == [3]
  24. else:
  25. assert list(G[3]) == [2]
  26. assert set(G[2]) == {1, 3}
  27. pytest.raises(KeyError, G.__getitem__, 4)
  28. pytest.raises(KeyError, G.__getitem__, 112)
  29. pytest.raises(KeyError, G.__getitem__, 111)
  30. assert G.degree(3) == (3 if G.is_multigraph() else 1)
  31. assert G.size() == (7 if G.is_multigraph() else 5)
  32. def test_hidden_edges(self):
  33. hide_edges = [(2, 3), (8, 7), (222, 223)]
  34. edges_gone = self.hide_edges_filter(hide_edges)
  35. gview = self.gview
  36. G = gview(self.G, filter_edge=edges_gone)
  37. assert self.G.nodes == G.nodes
  38. if G.is_directed():
  39. assert self.G.edges - G.edges == {(2, 3)}
  40. assert list(G[2]) == []
  41. assert list(G.pred[3]) == []
  42. assert list(G.pred[2]) == [1]
  43. assert G.size() == 7
  44. else:
  45. assert self.G.edges - G.edges == {(2, 3), (7, 8)}
  46. assert list(G[2]) == [1]
  47. assert G.size() == 6
  48. assert list(G[3]) == [4]
  49. pytest.raises(KeyError, G.__getitem__, 221)
  50. pytest.raises(KeyError, G.__getitem__, 222)
  51. assert G.degree(3) == 1
  52. def test_shown_node(self):
  53. induced_subgraph = nx.filters.show_nodes([2, 3, 111])
  54. gview = self.gview
  55. G = gview(self.G, filter_node=induced_subgraph)
  56. assert set(G.nodes) == {2, 3}
  57. if G.is_directed():
  58. assert list(G[3]) == []
  59. else:
  60. assert list(G[3]) == [2]
  61. assert list(G[2]) == [3]
  62. pytest.raises(KeyError, G.__getitem__, 4)
  63. pytest.raises(KeyError, G.__getitem__, 112)
  64. pytest.raises(KeyError, G.__getitem__, 111)
  65. assert G.degree(3) == (3 if G.is_multigraph() else 1)
  66. assert G.size() == (3 if G.is_multigraph() else 1)
  67. def test_shown_edges(self):
  68. show_edges = [(2, 3), (8, 7), (222, 223)]
  69. edge_subgraph = self.show_edges_filter(show_edges)
  70. G = self.gview(self.G, filter_edge=edge_subgraph)
  71. assert self.G.nodes == G.nodes
  72. if G.is_directed():
  73. assert G.edges == {(2, 3)}
  74. assert list(G[3]) == []
  75. assert list(G[2]) == [3]
  76. assert list(G.pred[3]) == [2]
  77. assert list(G.pred[2]) == []
  78. assert G.size() == 1
  79. else:
  80. assert G.edges == {(2, 3), (7, 8)}
  81. assert list(G[3]) == [2]
  82. assert list(G[2]) == [3]
  83. assert G.size() == 2
  84. pytest.raises(KeyError, G.__getitem__, 221)
  85. pytest.raises(KeyError, G.__getitem__, 222)
  86. assert G.degree(3) == 1
  87. class TestSubDiGraphView(TestSubGraphView):
  88. gview = staticmethod(nx.graphviews.subgraph_view)
  89. graph = nx.DiGraph
  90. hide_edges_filter = staticmethod(nx.filters.hide_diedges)
  91. show_edges_filter = staticmethod(nx.filters.show_diedges)
  92. hide_edges = [(2, 3), (8, 7), (222, 223)]
  93. excluded = {(2, 3), (3, 4), (4, 5), (5, 6)}
  94. def test_inoutedges(self):
  95. edges_gone = self.hide_edges_filter(self.hide_edges)
  96. hide_nodes = [4, 5, 111]
  97. nodes_gone = nx.filters.hide_nodes(hide_nodes)
  98. G = self.gview(self.G, nodes_gone, edges_gone)
  99. assert self.G.in_edges - G.in_edges == self.excluded
  100. assert self.G.out_edges - G.out_edges == self.excluded
  101. def test_pred(self):
  102. edges_gone = self.hide_edges_filter(self.hide_edges)
  103. hide_nodes = [4, 5, 111]
  104. nodes_gone = nx.filters.hide_nodes(hide_nodes)
  105. G = self.gview(self.G, nodes_gone, edges_gone)
  106. assert list(G.pred[2]) == [1]
  107. assert list(G.pred[6]) == []
  108. def test_inout_degree(self):
  109. edges_gone = self.hide_edges_filter(self.hide_edges)
  110. hide_nodes = [4, 5, 111]
  111. nodes_gone = nx.filters.hide_nodes(hide_nodes)
  112. G = self.gview(self.G, nodes_gone, edges_gone)
  113. assert G.degree(2) == 1
  114. assert G.out_degree(2) == 0
  115. assert G.in_degree(2) == 1
  116. assert G.size() == 4
  117. # multigraph
  118. class TestMultiGraphView(TestSubGraphView):
  119. gview = staticmethod(nx.graphviews.subgraph_view)
  120. graph = nx.MultiGraph
  121. hide_edges_filter = staticmethod(nx.filters.hide_multiedges)
  122. show_edges_filter = staticmethod(nx.filters.show_multiedges)
  123. @classmethod
  124. def setup_class(cls):
  125. cls.G = nx.path_graph(9, create_using=cls.graph())
  126. multiedges = {(2, 3, 4), (2, 3, 5)}
  127. cls.G.add_edges_from(multiedges)
  128. cls.hide_edges_w_hide_nodes = {(3, 4, 0), (4, 5, 0), (5, 6, 0)}
  129. def test_hidden_edges(self):
  130. hide_edges = [(2, 3, 4), (2, 3, 3), (8, 7, 0), (222, 223, 0)]
  131. edges_gone = self.hide_edges_filter(hide_edges)
  132. G = self.gview(self.G, filter_edge=edges_gone)
  133. assert self.G.nodes == G.nodes
  134. if G.is_directed():
  135. assert self.G.edges - G.edges == {(2, 3, 4)}
  136. assert list(G[3]) == [4]
  137. assert list(G[2]) == [3]
  138. assert list(G.pred[3]) == [2] # only one 2 but two edges
  139. assert list(G.pred[2]) == [1]
  140. assert G.size() == 9
  141. else:
  142. assert self.G.edges - G.edges == {(2, 3, 4), (7, 8, 0)}
  143. assert list(G[3]) == [2, 4]
  144. assert list(G[2]) == [1, 3]
  145. assert G.size() == 8
  146. assert G.degree(3) == 3
  147. pytest.raises(KeyError, G.__getitem__, 221)
  148. pytest.raises(KeyError, G.__getitem__, 222)
  149. def test_shown_edges(self):
  150. show_edges = [(2, 3, 4), (2, 3, 3), (8, 7, 0), (222, 223, 0)]
  151. edge_subgraph = self.show_edges_filter(show_edges)
  152. G = self.gview(self.G, filter_edge=edge_subgraph)
  153. assert self.G.nodes == G.nodes
  154. if G.is_directed():
  155. assert G.edges == {(2, 3, 4)}
  156. assert list(G[3]) == []
  157. assert list(G.pred[3]) == [2]
  158. assert list(G.pred[2]) == []
  159. assert G.size() == 1
  160. else:
  161. assert G.edges == {(2, 3, 4), (7, 8, 0)}
  162. assert G.size() == 2
  163. assert list(G[3]) == [2]
  164. assert G.degree(3) == 1
  165. assert list(G[2]) == [3]
  166. pytest.raises(KeyError, G.__getitem__, 221)
  167. pytest.raises(KeyError, G.__getitem__, 222)
  168. # multidigraph
  169. class TestMultiDiGraphView(TestMultiGraphView, TestSubDiGraphView):
  170. gview = staticmethod(nx.graphviews.subgraph_view)
  171. graph = nx.MultiDiGraph
  172. hide_edges_filter = staticmethod(nx.filters.hide_multidiedges)
  173. show_edges_filter = staticmethod(nx.filters.show_multidiedges)
  174. hide_edges = [(2, 3, 0), (8, 7, 0), (222, 223, 0)]
  175. excluded = {(2, 3, 0), (3, 4, 0), (4, 5, 0), (5, 6, 0)}
  176. def test_inout_degree(self):
  177. edges_gone = self.hide_edges_filter(self.hide_edges)
  178. hide_nodes = [4, 5, 111]
  179. nodes_gone = nx.filters.hide_nodes(hide_nodes)
  180. G = self.gview(self.G, nodes_gone, edges_gone)
  181. assert G.degree(2) == 3
  182. assert G.out_degree(2) == 2
  183. assert G.in_degree(2) == 1
  184. assert G.size() == 6
  185. # induced_subgraph
  186. class TestInducedSubGraph:
  187. @classmethod
  188. def setup_class(cls):
  189. cls.K3 = G = nx.complete_graph(3)
  190. G.graph["foo"] = []
  191. G.nodes[0]["foo"] = []
  192. G.remove_edge(1, 2)
  193. ll = []
  194. G.add_edge(1, 2, foo=ll)
  195. G.add_edge(2, 1, foo=ll)
  196. def test_full_graph(self):
  197. G = self.K3
  198. H = nx.induced_subgraph(G, [0, 1, 2, 5])
  199. assert H.name == G.name
  200. self.graphs_equal(H, G)
  201. self.same_attrdict(H, G)
  202. def test_partial_subgraph(self):
  203. G = self.K3
  204. H = nx.induced_subgraph(G, 0)
  205. assert dict(H.adj) == {0: {}}
  206. assert dict(G.adj) != {0: {}}
  207. H = nx.induced_subgraph(G, [0, 1])
  208. assert dict(H.adj) == {0: {1: {}}, 1: {0: {}}}
  209. def same_attrdict(self, H, G):
  210. old_foo = H[1][2]["foo"]
  211. H.edges[1, 2]["foo"] = "baz"
  212. assert G.edges == H.edges
  213. H.edges[1, 2]["foo"] = old_foo
  214. assert G.edges == H.edges
  215. old_foo = H.nodes[0]["foo"]
  216. H.nodes[0]["foo"] = "baz"
  217. assert G.nodes == H.nodes
  218. H.nodes[0]["foo"] = old_foo
  219. assert G.nodes == H.nodes
  220. def graphs_equal(self, H, G):
  221. assert G._adj == H._adj
  222. assert G._node == H._node
  223. assert G.graph == H.graph
  224. assert G.name == H.name
  225. if not G.is_directed() and not H.is_directed():
  226. assert H._adj[1][2] is H._adj[2][1]
  227. assert G._adj[1][2] is G._adj[2][1]
  228. else: # at least one is directed
  229. if not G.is_directed():
  230. G._pred = G._adj
  231. G._succ = G._adj
  232. if not H.is_directed():
  233. H._pred = H._adj
  234. H._succ = H._adj
  235. assert G._pred == H._pred
  236. assert G._succ == H._succ
  237. assert H._succ[1][2] is H._pred[2][1]
  238. assert G._succ[1][2] is G._pred[2][1]
  239. # edge_subgraph
  240. class TestEdgeSubGraph:
  241. @classmethod
  242. def setup_class(cls):
  243. # Create a path graph on five nodes.
  244. cls.G = G = nx.path_graph(5)
  245. # Add some node, edge, and graph attributes.
  246. for i in range(5):
  247. G.nodes[i]["name"] = f"node{i}"
  248. G.edges[0, 1]["name"] = "edge01"
  249. G.edges[3, 4]["name"] = "edge34"
  250. G.graph["name"] = "graph"
  251. # Get the subgraph induced by the first and last edges.
  252. cls.H = nx.edge_subgraph(G, [(0, 1), (3, 4)])
  253. def test_correct_nodes(self):
  254. """Tests that the subgraph has the correct nodes."""
  255. assert [(0, "node0"), (1, "node1"), (3, "node3"), (4, "node4")] == sorted(
  256. self.H.nodes.data("name")
  257. )
  258. def test_correct_edges(self):
  259. """Tests that the subgraph has the correct edges."""
  260. assert edges_equal(
  261. [(0, 1, "edge01"), (3, 4, "edge34")], self.H.edges.data("name")
  262. )
  263. def test_add_node(self):
  264. """Tests that adding a node to the original graph does not
  265. affect the nodes of the subgraph.
  266. """
  267. self.G.add_node(5)
  268. assert [0, 1, 3, 4] == sorted(self.H.nodes)
  269. self.G.remove_node(5)
  270. def test_remove_node(self):
  271. """Tests that removing a node in the original graph
  272. removes the nodes of the subgraph.
  273. """
  274. self.G.remove_node(0)
  275. assert [1, 3, 4] == sorted(self.H.nodes)
  276. self.G.add_node(0, name="node0")
  277. self.G.add_edge(0, 1, name="edge01")
  278. def test_node_attr_dict(self):
  279. """Tests that the node attribute dictionary of the two graphs is
  280. the same object.
  281. """
  282. for v in self.H:
  283. assert self.G.nodes[v] == self.H.nodes[v]
  284. # Making a change to G should make a change in H and vice versa.
  285. self.G.nodes[0]["name"] = "foo"
  286. assert self.G.nodes[0] == self.H.nodes[0]
  287. self.H.nodes[1]["name"] = "bar"
  288. assert self.G.nodes[1] == self.H.nodes[1]
  289. # Revert the change, so tests pass with pytest-randomly
  290. self.G.nodes[0]["name"] = "node0"
  291. self.H.nodes[1]["name"] = "node1"
  292. def test_edge_attr_dict(self):
  293. """Tests that the edge attribute dictionary of the two graphs is
  294. the same object.
  295. """
  296. for u, v in self.H.edges():
  297. assert self.G.edges[u, v] == self.H.edges[u, v]
  298. # Making a change to G should make a change in H and vice versa.
  299. self.G.edges[0, 1]["name"] = "foo"
  300. assert self.G.edges[0, 1]["name"] == self.H.edges[0, 1]["name"]
  301. self.H.edges[3, 4]["name"] = "bar"
  302. assert self.G.edges[3, 4]["name"] == self.H.edges[3, 4]["name"]
  303. # Revert the change, so tests pass with pytest-randomly
  304. self.G.edges[0, 1]["name"] = "edge01"
  305. self.H.edges[3, 4]["name"] = "edge34"
  306. def test_graph_attr_dict(self):
  307. """Tests that the graph attribute dictionary of the two graphs
  308. is the same object.
  309. """
  310. assert self.G.graph is self.H.graph
  311. def test_readonly(self):
  312. """Tests that the subgraph cannot change the graph structure"""
  313. pytest.raises(nx.NetworkXError, self.H.add_node, 5)
  314. pytest.raises(nx.NetworkXError, self.H.remove_node, 0)
  315. pytest.raises(nx.NetworkXError, self.H.add_edge, 5, 6)
  316. pytest.raises(nx.NetworkXError, self.H.remove_edge, 0, 1)