435 lines
16 KiB
Python
435 lines
16 KiB
Python
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#!/usr/bin/env python
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"""Original NetworkX graph tests"""
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import pytest
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import networkx as nx
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from networkx import convert_node_labels_to_integers as cnlti
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from networkx.testing import *
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class HistoricalTests(object):
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@classmethod
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def setup_class(cls):
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cls.null = nx.null_graph()
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cls.P1 = cnlti(nx.path_graph(1), first_label=1)
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cls.P3 = cnlti(nx.path_graph(3), first_label=1)
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cls.P10 = cnlti(nx.path_graph(10), first_label=1)
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cls.K1 = cnlti(nx.complete_graph(1), first_label=1)
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cls.K3 = cnlti(nx.complete_graph(3), first_label=1)
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cls.K4 = cnlti(nx.complete_graph(4), first_label=1)
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cls.K5 = cnlti(nx.complete_graph(5), first_label=1)
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cls.K10 = cnlti(nx.complete_graph(10), first_label=1)
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cls.G = nx.Graph
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def test_name(self):
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G = self.G(name="test")
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assert str(G) == 'test'
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assert G.name == 'test'
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H = self.G()
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assert H.name == ''
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# Nodes
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def test_add_remove_node(self):
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G = self.G()
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G.add_node('A')
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assert G.has_node('A')
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G.remove_node('A')
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assert not G.has_node('A')
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def test_nonhashable_node(self):
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# Test if a non-hashable object is in the Graph. A python dict will
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# raise a TypeError, but for a Graph class a simple False should be
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# returned (see Graph __contains__). If it cannot be a node then it is
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# not a node.
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G = self.G()
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assert not G.has_node(['A'])
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assert not G.has_node({'A': 1})
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def test_add_nodes_from(self):
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G = self.G()
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G.add_nodes_from(list("ABCDEFGHIJKL"))
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assert G.has_node("L")
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G.remove_nodes_from(['H', 'I', 'J', 'K', 'L'])
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G.add_nodes_from([1, 2, 3, 4])
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assert (sorted(G.nodes(), key=str) ==
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[1, 2, 3, 4, 'A', 'B', 'C', 'D', 'E', 'F', 'G'])
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# test __iter__
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assert (sorted(G, key=str) ==
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[1, 2, 3, 4, 'A', 'B', 'C', 'D', 'E', 'F', 'G'])
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def test_contains(self):
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G = self.G()
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G.add_node('A')
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assert 'A' in G
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assert not [] in G # never raise a Key or TypeError in this test
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assert not {1: 1} in G
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def test_add_remove(self):
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# Test add_node and remove_node acting for various nbunch
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G = self.G()
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G.add_node('m')
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assert G.has_node('m')
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G.add_node('m') # no complaints
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pytest.raises(nx.NetworkXError, G.remove_node, 'j')
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G.remove_node('m')
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assert list(G) == []
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def test_nbunch_is_list(self):
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G = self.G()
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G.add_nodes_from(list("ABCD"))
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G.add_nodes_from(self.P3) # add nbunch of nodes (nbunch=Graph)
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assert (sorted(G.nodes(), key=str) ==
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[1, 2, 3, 'A', 'B', 'C', 'D'])
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G.remove_nodes_from(self.P3) # remove nbunch of nodes (nbunch=Graph)
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assert (sorted(G.nodes(), key=str) ==
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['A', 'B', 'C', 'D'])
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def test_nbunch_is_set(self):
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G = self.G()
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nbunch = set("ABCDEFGHIJKL")
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G.add_nodes_from(nbunch)
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assert G.has_node("L")
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def test_nbunch_dict(self):
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# nbunch is a dict with nodes as keys
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G = self.G()
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nbunch = set("ABCDEFGHIJKL")
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G.add_nodes_from(nbunch)
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nbunch = {'I': "foo", 'J': 2, 'K': True, 'L': "spam"}
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G.remove_nodes_from(nbunch)
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assert sorted(G.nodes(), key=str), ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H']
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def test_nbunch_iterator(self):
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G = self.G()
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G.add_nodes_from(['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'])
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n_iter = self.P3.nodes()
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G.add_nodes_from(n_iter)
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assert (sorted(G.nodes(), key=str) ==
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[1, 2, 3, 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'])
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n_iter = self.P3.nodes() # rebuild same iterator
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G.remove_nodes_from(n_iter) # remove nbunch of nodes (nbunch=iterator)
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assert (sorted(G.nodes(), key=str) ==
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['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'])
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def test_nbunch_graph(self):
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G = self.G()
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G.add_nodes_from(['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'])
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nbunch = self.K3
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G.add_nodes_from(nbunch)
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assert sorted(G.nodes(), key=str), [1, 2, 3, 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H']
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# Edges
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def test_add_edge(self):
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G = self.G()
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pytest.raises(TypeError, G.add_edge, 'A')
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G.add_edge('A', 'B') # testing add_edge()
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G.add_edge('A', 'B') # should fail silently
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assert G.has_edge('A', 'B')
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assert not G.has_edge('A', 'C')
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assert G.has_edge(*('A', 'B'))
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if G.is_directed():
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assert not G.has_edge('B', 'A')
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else:
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# G is undirected, so B->A is an edge
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assert G.has_edge('B', 'A')
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G.add_edge('A', 'C') # test directedness
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G.add_edge('C', 'A')
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G.remove_edge('C', 'A')
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if G.is_directed():
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assert G.has_edge('A', 'C')
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else:
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assert not G.has_edge('A', 'C')
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assert not G.has_edge('C', 'A')
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def test_self_loop(self):
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G = self.G()
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G.add_edge('A', 'A') # test self loops
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assert G.has_edge('A', 'A')
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G.remove_edge('A', 'A')
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G.add_edge('X', 'X')
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assert G.has_node('X')
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G.remove_node('X')
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G.add_edge('A', 'Z') # should add the node silently
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assert G.has_node('Z')
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def test_add_edges_from(self):
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G = self.G()
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G.add_edges_from([('B', 'C')]) # test add_edges_from()
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assert G.has_edge('B', 'C')
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if G.is_directed():
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assert not G.has_edge('C', 'B')
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else:
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assert G.has_edge('C', 'B') # undirected
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G.add_edges_from([('D', 'F'), ('B', 'D')])
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assert G.has_edge('D', 'F')
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assert G.has_edge('B', 'D')
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if G.is_directed():
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assert not G.has_edge('D', 'B')
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else:
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assert G.has_edge('D', 'B') # undirected
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def test_add_edges_from2(self):
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G = self.G()
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# after failing silently, should add 2nd edge
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G.add_edges_from([tuple('IJ'), list('KK'), tuple('JK')])
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assert G.has_edge(*('I', 'J'))
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assert G.has_edge(*('K', 'K'))
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assert G.has_edge(*('J', 'K'))
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if G.is_directed():
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assert not G.has_edge(*('K', 'J'))
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else:
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assert G.has_edge(*('K', 'J'))
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def test_add_edges_from3(self):
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G = self.G()
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G.add_edges_from(zip(list('ACD'), list('CDE')))
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assert G.has_edge('D', 'E')
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assert not G.has_edge('E', 'C')
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def test_remove_edge(self):
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G = self.G()
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G.add_nodes_from([1, 2, 3, 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'])
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G.add_edges_from(zip(list('MNOP'), list('NOPM')))
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assert G.has_edge('O', 'P')
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assert G.has_edge('P', 'M')
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G.remove_node('P') # tests remove_node()'s handling of edges.
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assert not G.has_edge('P', 'M')
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pytest.raises(TypeError, G.remove_edge, 'M')
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G.add_edge('N', 'M')
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assert G.has_edge('M', 'N')
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G.remove_edge('M', 'N')
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assert not G.has_edge('M', 'N')
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# self loop fails silently
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G.remove_edges_from([list('HI'), list('DF'),
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tuple('KK'), tuple('JK')])
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assert not G.has_edge('H', 'I')
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assert not G.has_edge('J', 'K')
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G.remove_edges_from([list('IJ'), list('KK'), list('JK')])
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assert not G.has_edge('I', 'J')
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G.remove_nodes_from(set('ZEFHIMNO'))
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G.add_edge('J', 'K')
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def test_edges_nbunch(self):
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# Test G.edges(nbunch) with various forms of nbunch
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G = self.G()
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G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
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('C', 'B'), ('C', 'D')])
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# node not in nbunch should be quietly ignored
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pytest.raises(nx.NetworkXError, G.edges, 6)
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assert list(G.edges('Z')) == [] # iterable non-node
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# nbunch can be an empty list
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assert list(G.edges([])) == []
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if G.is_directed():
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elist = [('A', 'B'), ('A', 'C'), ('B', 'D')]
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else:
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elist = [('A', 'B'), ('A', 'C'), ('B', 'C'), ('B', 'D')]
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# nbunch can be a list
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assert_edges_equal(list(G.edges(['A', 'B'])), elist)
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# nbunch can be a set
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assert_edges_equal(G.edges(set(['A', 'B'])), elist)
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# nbunch can be a graph
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G1 = self.G()
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G1.add_nodes_from('AB')
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assert_edges_equal(G.edges(G1), elist)
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# nbunch can be a dict with nodes as keys
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ndict = {'A': "thing1", 'B': "thing2"}
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assert_edges_equal(G.edges(ndict), elist)
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# nbunch can be a single node
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assert_edges_equal(list(G.edges('A')), [('A', 'B'), ('A', 'C')])
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assert_nodes_equal(sorted(G), ['A', 'B', 'C', 'D'])
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# nbunch can be nothing (whole graph)
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assert_edges_equal(
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list(G.edges()),
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[('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'B'), ('C', 'D')]
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)
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def test_degree(self):
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G = self.G()
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G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
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('C', 'B'), ('C', 'D')])
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assert G.degree('A') == 2
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# degree of single node in iterable container must return dict
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assert list(G.degree(['A'])) == [('A', 2)]
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assert sorted(d for n, d in G.degree(['A', 'B'])) == [2, 3]
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assert sorted(d for n, d in G.degree()) == [2, 2, 3, 3]
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def test_degree2(self):
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H = self.G()
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H.add_edges_from([(1, 24), (1, 2)])
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assert sorted(d for n, d in H.degree([1, 24])) == [1, 2]
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def test_degree_graph(self):
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P3 = nx.path_graph(3)
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P5 = nx.path_graph(5)
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# silently ignore nodes not in P3
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assert dict(d for n, d in P3.degree(['A', 'B'])) == {}
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# nbunch can be a graph
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assert sorted(d for n, d in P5.degree(P3)) == [1, 2, 2]
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# nbunch can be a graph that's way too big
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assert sorted(d for n, d in P3.degree(P5)) == [1, 1, 2]
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assert list(P5.degree([])) == []
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assert dict(P5.degree([])) == {}
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def test_null(self):
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null = nx.null_graph()
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assert list(null.degree()) == []
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assert dict(null.degree()) == {}
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def test_order_size(self):
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G = self.G()
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G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
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('C', 'B'), ('C', 'D')])
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assert G.order() == 4
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assert G.size() == 5
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assert G.number_of_edges() == 5
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assert G.number_of_edges('A', 'B') == 1
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assert G.number_of_edges('A', 'D') == 0
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def test_copy(self):
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G = self.G()
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H = G.copy() # copy
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assert H.adj == G.adj
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assert H.name == G.name
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assert H != G
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def test_subgraph(self):
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G = self.G()
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G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
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('C', 'B'), ('C', 'D')])
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SG = G.subgraph(['A', 'B', 'D'])
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assert_nodes_equal(list(SG), ['A', 'B', 'D'])
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assert_edges_equal(list(SG.edges()), [('A', 'B'), ('B', 'D')])
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def test_to_directed(self):
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G = self.G()
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if not G.is_directed():
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G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
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('C', 'B'), ('C', 'D')])
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DG = G.to_directed()
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assert DG != G # directed copy or copy
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assert DG.is_directed()
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assert DG.name == G.name
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assert DG.adj == G.adj
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assert (sorted(DG.out_edges(list('AB'))) ==
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[('A', 'B'), ('A', 'C'), ('B', 'A'),
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('B', 'C'), ('B', 'D')])
|
||
|
|
DG.remove_edge('A', 'B')
|
||
|
|
assert DG.has_edge('B', 'A') # this removes B-A but not A-B
|
||
|
|
assert not DG.has_edge('A', 'B')
|
||
|
|
|
||
|
|
def test_to_undirected(self):
|
||
|
|
G = self.G()
|
||
|
|
if G.is_directed():
|
||
|
|
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
|
||
|
|
('C', 'B'), ('C', 'D')])
|
||
|
|
UG = G.to_undirected() # to_undirected
|
||
|
|
assert UG != G
|
||
|
|
assert not UG.is_directed()
|
||
|
|
assert G.is_directed()
|
||
|
|
assert UG.name == G.name
|
||
|
|
assert UG.adj != G.adj
|
||
|
|
assert (sorted(UG.edges(list('AB'))) ==
|
||
|
|
[('A', 'B'), ('A', 'C'), ('B', 'C'), ('B', 'D')])
|
||
|
|
assert (sorted(UG.edges(['A', 'B'])) ==
|
||
|
|
[('A', 'B'), ('A', 'C'), ('B', 'C'), ('B', 'D')])
|
||
|
|
UG.remove_edge('A', 'B')
|
||
|
|
assert not UG.has_edge('B', 'A')
|
||
|
|
assert not UG.has_edge('A', 'B')
|
||
|
|
|
||
|
|
def test_neighbors(self):
|
||
|
|
G = self.G()
|
||
|
|
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
|
||
|
|
('C', 'B'), ('C', 'D')])
|
||
|
|
G.add_nodes_from('GJK')
|
||
|
|
assert sorted(G['A']) == ['B', 'C']
|
||
|
|
assert sorted(G.neighbors('A')) == ['B', 'C']
|
||
|
|
assert sorted(G.neighbors('A')) == ['B', 'C']
|
||
|
|
assert sorted(G.neighbors('G')) == []
|
||
|
|
pytest.raises(nx.NetworkXError, G.neighbors, 'j')
|
||
|
|
|
||
|
|
def test_iterators(self):
|
||
|
|
G = self.G()
|
||
|
|
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'),
|
||
|
|
('C', 'B'), ('C', 'D')])
|
||
|
|
G.add_nodes_from('GJK')
|
||
|
|
assert (sorted(G.nodes()) ==
|
||
|
|
['A', 'B', 'C', 'D', 'G', 'J', 'K'])
|
||
|
|
assert_edges_equal(G.edges(),
|
||
|
|
[('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'B'), ('C', 'D')])
|
||
|
|
|
||
|
|
assert (sorted([v for k, v in G.degree()]) ==
|
||
|
|
[0, 0, 0, 2, 2, 3, 3])
|
||
|
|
assert (sorted(G.degree(), key=str) ==
|
||
|
|
[('A', 2), ('B', 3), ('C', 3), ('D', 2),
|
||
|
|
('G', 0), ('J', 0), ('K', 0)])
|
||
|
|
assert sorted(G.neighbors('A')) == ['B', 'C']
|
||
|
|
pytest.raises(nx.NetworkXError, G.neighbors, 'X')
|
||
|
|
G.clear()
|
||
|
|
assert nx.number_of_nodes(G) == 0
|
||
|
|
assert nx.number_of_edges(G) == 0
|
||
|
|
|
||
|
|
def test_null_subgraph(self):
|
||
|
|
# Subgraph of a null graph is a null graph
|
||
|
|
nullgraph = nx.null_graph()
|
||
|
|
G = nx.null_graph()
|
||
|
|
H = G.subgraph([])
|
||
|
|
assert nx.is_isomorphic(H, nullgraph)
|
||
|
|
|
||
|
|
def test_empty_subgraph(self):
|
||
|
|
# Subgraph of an empty graph is an empty graph. test 1
|
||
|
|
nullgraph = nx.null_graph()
|
||
|
|
E5 = nx.empty_graph(5)
|
||
|
|
E10 = nx.empty_graph(10)
|
||
|
|
H = E10.subgraph([])
|
||
|
|
assert nx.is_isomorphic(H, nullgraph)
|
||
|
|
H = E10.subgraph([1, 2, 3, 4, 5])
|
||
|
|
assert nx.is_isomorphic(H, E5)
|
||
|
|
|
||
|
|
def test_complete_subgraph(self):
|
||
|
|
# Subgraph of a complete graph is a complete graph
|
||
|
|
K1 = nx.complete_graph(1)
|
||
|
|
K3 = nx.complete_graph(3)
|
||
|
|
K5 = nx.complete_graph(5)
|
||
|
|
H = K5.subgraph([1, 2, 3])
|
||
|
|
assert nx.is_isomorphic(H, K3)
|
||
|
|
|
||
|
|
def test_subgraph_nbunch(self):
|
||
|
|
nullgraph = nx.null_graph()
|
||
|
|
K1 = nx.complete_graph(1)
|
||
|
|
K3 = nx.complete_graph(3)
|
||
|
|
K5 = nx.complete_graph(5)
|
||
|
|
# Test G.subgraph(nbunch), where nbunch is a single node
|
||
|
|
H = K5.subgraph(1)
|
||
|
|
assert nx.is_isomorphic(H, K1)
|
||
|
|
# Test G.subgraph(nbunch), where nbunch is a set
|
||
|
|
H = K5.subgraph(set([1]))
|
||
|
|
assert nx.is_isomorphic(H, K1)
|
||
|
|
# Test G.subgraph(nbunch), where nbunch is an iterator
|
||
|
|
H = K5.subgraph(iter(K3))
|
||
|
|
assert nx.is_isomorphic(H, K3)
|
||
|
|
# Test G.subgraph(nbunch), where nbunch is another graph
|
||
|
|
H = K5.subgraph(K3)
|
||
|
|
assert nx.is_isomorphic(H, K3)
|
||
|
|
H = K5.subgraph([9])
|
||
|
|
assert nx.is_isomorphic(H, nullgraph)
|
||
|
|
|
||
|
|
def test_node_tuple_issue(self):
|
||
|
|
H = self.G()
|
||
|
|
# Test error handling of tuple as a node
|
||
|
|
pytest.raises(nx.NetworkXError, H.remove_node, (1, 2))
|
||
|
|
H.remove_nodes_from([(1, 2)]) # no error
|
||
|
|
pytest.raises(nx.NetworkXError, H.neighbors, (1, 2))
|