357 lines
12 KiB
Python
357 lines
12 KiB
Python
#!/usr/bin/env python
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import pytest
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import networkx as nx
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from networkx.testing.utils import *
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from .test_graph import BaseAttrGraphTester, TestGraph
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class BaseMultiGraphTester(BaseAttrGraphTester):
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def test_has_edge(self):
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G = self.K3
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assert G.has_edge(0, 1) == True
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assert G.has_edge(0, -1) == False
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assert G.has_edge(0, 1, 0) == True
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assert G.has_edge(0, 1, 1) == False
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def test_get_edge_data(self):
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G = self.K3
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assert G.get_edge_data(0, 1) == {0: {}}
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assert G[0][1] == {0: {}}
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assert G[0][1][0] == {}
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assert G.get_edge_data(10, 20) == None
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assert G.get_edge_data(0, 1, 0) == {}
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def test_adjacency(self):
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G = self.K3
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assert (dict(G.adjacency()) ==
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{0: {1: {0: {}}, 2: {0: {}}},
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1: {0: {0: {}}, 2: {0: {}}},
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2: {0: {0: {}}, 1: {0: {}}}})
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def deepcopy_edge_attr(self, H, G):
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assert G[1][2][0]['foo'] == H[1][2][0]['foo']
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G[1][2][0]['foo'].append(1)
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assert G[1][2][0]['foo'] != H[1][2][0]['foo']
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def shallow_copy_edge_attr(self, H, G):
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assert G[1][2][0]['foo'] == H[1][2][0]['foo']
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G[1][2][0]['foo'].append(1)
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assert G[1][2][0]['foo'] == H[1][2][0]['foo']
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def graphs_equal(self, H, G):
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assert G._adj == H._adj
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assert G._node == H._node
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assert G.graph == H.graph
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assert G.name == H.name
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if not G.is_directed() and not H.is_directed():
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assert H._adj[1][2][0] is H._adj[2][1][0]
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assert G._adj[1][2][0] is G._adj[2][1][0]
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else: # at least one is directed
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if not G.is_directed():
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G._pred = G._adj
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G._succ = G._adj
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if not H.is_directed():
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H._pred = H._adj
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H._succ = H._adj
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assert G._pred == H._pred
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assert G._succ == H._succ
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assert H._succ[1][2][0] is H._pred[2][1][0]
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assert G._succ[1][2][0] is G._pred[2][1][0]
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def same_attrdict(self, H, G):
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# same attrdict in the edgedata
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old_foo = H[1][2][0]['foo']
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H.adj[1][2][0]['foo'] = 'baz'
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assert G._adj == H._adj
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H.adj[1][2][0]['foo'] = old_foo
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assert G._adj == H._adj
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old_foo = H.nodes[0]['foo']
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H.nodes[0]['foo'] = 'baz'
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assert G._node == H._node
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H.nodes[0]['foo'] = old_foo
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assert G._node == H._node
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def different_attrdict(self, H, G):
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# used by graph_equal_but_different
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old_foo = H[1][2][0]['foo']
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H.adj[1][2][0]['foo'] = 'baz'
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assert G._adj != H._adj
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H.adj[1][2][0]['foo'] = old_foo
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assert G._adj == H._adj
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old_foo = H.nodes[0]['foo']
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H.nodes[0]['foo'] = 'baz'
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assert G._node != H._node
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H.nodes[0]['foo'] = old_foo
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assert G._node == H._node
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def test_to_undirected(self):
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G = self.K3
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self.add_attributes(G)
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H = nx.MultiGraph(G)
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self.is_shallow_copy(H, G)
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H = G.to_undirected()
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self.is_deepcopy(H, G)
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def test_to_directed(self):
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G = self.K3
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self.add_attributes(G)
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H = nx.MultiDiGraph(G)
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self.is_shallow_copy(H, G)
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H = G.to_directed()
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self.is_deepcopy(H, G)
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def test_number_of_edges_selfloops(self):
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G = self.K3
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G.add_edge(0, 0)
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G.add_edge(0, 0)
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G.add_edge(0, 0, key='parallel edge')
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G.remove_edge(0, 0, key='parallel edge')
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assert G.number_of_edges(0, 0) == 2
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G.remove_edge(0, 0)
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assert G.number_of_edges(0, 0) == 1
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def test_edge_lookup(self):
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G = self.Graph()
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G.add_edge(1, 2, foo='bar')
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G.add_edge(1, 2, 'key', foo='biz')
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assert_edges_equal(G.edges[1, 2, 0], {'foo': 'bar'})
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assert_edges_equal(G.edges[1, 2, 'key'], {'foo': 'biz'})
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def test_edge_attr4(self):
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G = self.Graph()
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G.add_edge(1, 2, key=0, data=7, spam='bar', bar='foo')
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assert_edges_equal(G.edges(data=True),
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[(1, 2, {'data': 7, 'spam': 'bar', 'bar': 'foo'})])
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G[1][2][0]['data'] = 10 # OK to set data like this
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assert_edges_equal(G.edges(data=True),
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[(1, 2, {'data': 10, 'spam': 'bar', 'bar': 'foo'})])
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G.adj[1][2][0]['data'] = 20
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assert_edges_equal(G.edges(data=True),
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[(1, 2, {'data': 20, 'spam': 'bar', 'bar': 'foo'})])
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G.edges[1, 2, 0]['data'] = 21 # another spelling, "edge"
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assert_edges_equal(G.edges(data=True),
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[(1, 2, {'data': 21, 'spam': 'bar', 'bar': 'foo'})])
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G.adj[1][2][0]['listdata'] = [20, 200]
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G.adj[1][2][0]['weight'] = 20
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assert_edges_equal(G.edges(data=True),
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[(1, 2, {'data': 21, 'spam': 'bar', 'bar': 'foo',
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'listdata': [20, 200], 'weight':20})])
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class TestMultiGraph(BaseMultiGraphTester, TestGraph):
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def setup_method(self):
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self.Graph = nx.MultiGraph
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# build K3
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ed1, ed2, ed3 = ({0: {}}, {0: {}}, {0: {}})
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self.k3adj = {0: {1: ed1, 2: ed2},
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1: {0: ed1, 2: ed3},
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2: {0: ed2, 1: ed3}}
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self.k3edges = [(0, 1), (0, 2), (1, 2)]
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self.k3nodes = [0, 1, 2]
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self.K3 = self.Graph()
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self.K3._adj = self.k3adj
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self.K3._node = {}
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self.K3._node[0] = {}
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self.K3._node[1] = {}
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self.K3._node[2] = {}
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def test_data_input(self):
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G = self.Graph({1: [2], 2: [1]}, name="test")
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assert G.name == "test"
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expected = [(1, {2: {0: {}}}), (2, {1: {0: {}}})]
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assert sorted(G.adj.items()) == expected
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def test_getitem(self):
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G = self.K3
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assert G[0] == {1: {0: {}}, 2: {0: {}}}
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with pytest.raises(KeyError):
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G.__getitem__('j')
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with pytest.raises(TypeError):
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G.__getitem__(['A'])
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def test_remove_node(self):
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G = self.K3
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G.remove_node(0)
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assert G.adj == {1: {2: {0: {}}}, 2: {1: {0: {}}}}
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with pytest.raises(nx.NetworkXError):
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G.remove_node(-1)
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def test_add_edge(self):
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G = self.Graph()
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G.add_edge(0, 1)
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assert G.adj == {0: {1: {0: {}}}, 1: {0: {0: {}}}}
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G = self.Graph()
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G.add_edge(*(0, 1))
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assert G.adj == {0: {1: {0: {}}}, 1: {0: {0: {}}}}
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def test_add_edge_conflicting_key(self):
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G = self.Graph()
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G.add_edge(0, 1, key=1)
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G.add_edge(0, 1)
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assert G.number_of_edges() == 2
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G = self.Graph()
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G.add_edges_from([(0, 1, 1, {})])
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G.add_edges_from([(0, 1)])
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assert G.number_of_edges() == 2
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def test_add_edges_from(self):
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G = self.Graph()
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G.add_edges_from([(0, 1), (0, 1, {'weight': 3})])
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assert G.adj == {0: {1: {0: {}, 1: {'weight': 3}}},
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1: {0: {0: {}, 1: {'weight': 3}}}}
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G.add_edges_from([(0, 1), (0, 1, {'weight': 3})], weight=2)
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assert G.adj == {0: {1: {0: {}, 1: {'weight': 3},
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2: {'weight': 2}, 3: {'weight': 3}}},
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1: {0: {0: {}, 1: {'weight': 3},
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2: {'weight': 2}, 3: {'weight': 3}}}}
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G = self.Graph()
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edges = [(0, 1, {'weight': 3}), (0, 1, (('weight', 2),)),
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(0, 1, 5), (0, 1, 's')]
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G.add_edges_from(edges)
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keydict = {0: {'weight': 3}, 1: {'weight': 2}, 5: {}, 's': {}}
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assert G._adj == {0: {1: keydict}, 1: {0: keydict}}
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# too few in tuple
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with pytest.raises(nx.NetworkXError):
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G.add_edges_from([(0,)])
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# too many in tuple
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with pytest.raises(nx.NetworkXError):
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G.add_edges_from([(0, 1, 2, 3, 4)])
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# not a tuple
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with pytest.raises(TypeError):
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G.add_edges_from([0])
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def test_remove_edge(self):
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G = self.K3
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G.remove_edge(0, 1)
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assert G.adj == {0: {2: {0: {}}},
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1: {2: {0: {}}},
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2: {0: {0: {}},
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1: {0: {}}}}
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with pytest.raises(nx.NetworkXError):
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G.remove_edge(-1, 0)
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with pytest.raises(nx.NetworkXError):
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G.remove_edge(0, 2, key=1)
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def test_remove_edges_from(self):
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G = self.K3.copy()
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G.remove_edges_from([(0, 1)])
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kd = {0: {}}
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assert G.adj == {0: {2: kd}, 1: {2: kd}, 2: {0: kd, 1: kd}}
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G.remove_edges_from([(0, 0)]) # silent fail
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self.K3.add_edge(0, 1)
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G = self.K3.copy()
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G.remove_edges_from(list(G.edges(data=True, keys=True)))
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assert G.adj == {0: {}, 1: {}, 2: {}}
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G = self.K3.copy()
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G.remove_edges_from(list(G.edges(data=False, keys=True)))
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assert G.adj == {0: {}, 1: {}, 2: {}}
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G = self.K3.copy()
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G.remove_edges_from(list(G.edges(data=False, keys=False)))
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assert G.adj == {0: {}, 1: {}, 2: {}}
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G = self.K3.copy()
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G.remove_edges_from([(0, 1, 0), (0, 2, 0, {}), (1, 2)])
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assert G.adj == {0: {1: {1: {}}}, 1: {0: {1: {}}}, 2: {}}
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def test_remove_multiedge(self):
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G = self.K3
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G.add_edge(0, 1, key='parallel edge')
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G.remove_edge(0, 1, key='parallel edge')
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assert G.adj == {0: {1: {0: {}}, 2: {0: {}}},
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1: {0: {0: {}}, 2: {0: {}}},
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2: {0: {0: {}}, 1: {0: {}}}}
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G.remove_edge(0, 1)
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kd = {0: {}}
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assert G.adj == {0: {2: kd}, 1: {2: kd}, 2: {0: kd, 1: kd}}
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with pytest.raises(nx.NetworkXError):
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G.remove_edge(-1, 0)
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class TestEdgeSubgraph(object):
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"""Unit tests for the :meth:`MultiGraph.edge_subgraph` method."""
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def setup_method(self):
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# Create a doubly-linked path graph on five nodes.
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G = nx.MultiGraph()
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nx.add_path(G, range(5))
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nx.add_path(G, range(5))
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# Add some node, edge, and graph attributes.
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for i in range(5):
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G.nodes[i]['name'] = 'node{}'.format(i)
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G.adj[0][1][0]['name'] = 'edge010'
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G.adj[0][1][1]['name'] = 'edge011'
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G.adj[3][4][0]['name'] = 'edge340'
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G.adj[3][4][1]['name'] = 'edge341'
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G.graph['name'] = 'graph'
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# Get the subgraph induced by one of the first edges and one of
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# the last edges.
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self.G = G
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self.H = G.edge_subgraph([(0, 1, 0), (3, 4, 1)])
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def test_correct_nodes(self):
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"""Tests that the subgraph has the correct nodes."""
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assert [0, 1, 3, 4] == sorted(self.H.nodes())
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def test_correct_edges(self):
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"""Tests that the subgraph has the correct edges."""
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assert ([(0, 1, 0, 'edge010'), (3, 4, 1, 'edge341')] ==
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sorted(self.H.edges(keys=True, data='name')))
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def test_add_node(self):
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"""Tests that adding a node to the original graph does not
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affect the nodes of the subgraph.
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"""
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self.G.add_node(5)
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assert [0, 1, 3, 4] == sorted(self.H.nodes())
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def test_remove_node(self):
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"""Tests that removing a node in the original graph does
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affect the nodes of the subgraph.
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"""
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self.G.remove_node(0)
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assert [1, 3, 4] == sorted(self.H.nodes())
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def test_node_attr_dict(self):
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"""Tests that the node attribute dictionary of the two graphs is
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the same object.
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"""
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for v in self.H:
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assert self.G.nodes[v] == self.H.nodes[v]
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# Making a change to G should make a change in H and vice versa.
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self.G.nodes[0]['name'] = 'foo'
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assert self.G.nodes[0] == self.H.nodes[0]
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self.H.nodes[1]['name'] = 'bar'
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assert self.G.nodes[1] == self.H.nodes[1]
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def test_edge_attr_dict(self):
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"""Tests that the edge attribute dictionary of the two graphs is
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the same object.
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"""
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for u, v, k in self.H.edges(keys=True):
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assert self.G._adj[u][v][k] == self.H._adj[u][v][k]
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# Making a change to G should make a change in H and vice versa.
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self.G._adj[0][1][0]['name'] = 'foo'
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assert (self.G._adj[0][1][0]['name'] ==
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self.H._adj[0][1][0]['name'])
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self.H._adj[3][4][1]['name'] = 'bar'
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assert (self.G._adj[3][4][1]['name'] ==
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self.H._adj[3][4][1]['name'])
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def test_graph_attr_dict(self):
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"""Tests that the graph attribute dictionary of the two graphs
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is the same object.
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"""
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assert self.G.graph is self.H.graph
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