360 lines
14 KiB
Python
360 lines
14 KiB
Python
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#!/usr/bin/env python
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import pytest
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from networkx.testing import assert_edges_equal
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import networkx as nx
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from .test_multigraph import BaseMultiGraphTester, TestMultiGraph
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from .test_multigraph import TestEdgeSubgraph as TestMultiGraphEdgeSubgraph
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class BaseMultiDiGraphTester(BaseMultiGraphTester):
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def test_edges(self):
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G = self.K3
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edges = [(0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)]
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assert sorted(G.edges()) == edges
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assert sorted(G.edges(0)) == [(0, 1), (0, 2)]
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pytest.raises((KeyError, nx.NetworkXError), G.edges, -1)
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def test_edges_data(self):
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G = self.K3
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edges = [(0, 1, {}), (0, 2, {}), (1, 0, {}),
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(1, 2, {}), (2, 0, {}), (2, 1, {})]
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assert sorted(G.edges(data=True)) == edges
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assert sorted(G.edges(0, data=True)) == [(0, 1, {}), (0, 2, {})]
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pytest.raises((KeyError, nx.NetworkXError), G.neighbors, -1)
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def test_edges_multi(self):
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G = self.K3
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assert (sorted(G.edges()) ==
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[(0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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assert sorted(G.edges(0)) == [(0, 1), (0, 2)]
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G.add_edge(0, 1)
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assert (sorted(G.edges()) ==
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[(0, 1), (0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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def test_out_edges(self):
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G = self.K3
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assert (sorted(G.out_edges()) ==
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[(0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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assert sorted(G.out_edges(0)) == [(0, 1), (0, 2)]
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pytest.raises((KeyError, nx.NetworkXError), G.out_edges, -1)
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assert sorted(G.out_edges(0, keys=True)) == [(0, 1, 0), (0, 2, 0)]
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def test_out_edges_multi(self):
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G = self.K3
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assert (sorted(G.out_edges()) ==
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[(0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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assert sorted(G.out_edges(0)) == [(0, 1), (0, 2)]
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G.add_edge(0, 1, 2)
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assert (sorted(G.out_edges()) ==
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[(0, 1), (0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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def test_out_edges_data(self):
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G = self.K3
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assert sorted(G.edges(0, data=True)) == [(0, 1, {}), (0, 2, {})]
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G.remove_edge(0, 1)
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G.add_edge(0, 1, data=1)
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assert (sorted(G.edges(0, data=True)) ==
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[(0, 1, {'data': 1}), (0, 2, {})])
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assert (sorted(G.edges(0, data='data')) ==
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[(0, 1, 1), (0, 2, None)])
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assert (sorted(G.edges(0, data='data', default=-1)) ==
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[(0, 1, 1), (0, 2, -1)])
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def test_in_edges(self):
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G = self.K3
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assert (sorted(G.in_edges()) ==
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[(0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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assert sorted(G.in_edges(0)) == [(1, 0), (2, 0)]
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pytest.raises((KeyError, nx.NetworkXError), G.in_edges, -1)
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G.add_edge(0, 1, 2)
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assert (sorted(G.in_edges()) ==
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[(0, 1), (0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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assert sorted(G.in_edges(0, keys=True)) == [(1, 0, 0), (2, 0, 0)]
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def test_in_edges_no_keys(self):
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G = self.K3
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assert (sorted(G.in_edges()) ==
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[(0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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assert sorted(G.in_edges(0)) == [(1, 0), (2, 0)]
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G.add_edge(0, 1, 2)
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assert (sorted(G.in_edges()) ==
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[(0, 1), (0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1)])
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assert (sorted(G.in_edges(data=True, keys=False)) ==
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[(0, 1, {}), (0, 1, {}), (0, 2, {}), (1, 0, {}),
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(1, 2, {}), (2, 0, {}), (2, 1, {})])
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def test_in_edges_data(self):
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G = self.K3
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assert (sorted(G.in_edges(0, data=True)) ==
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[(1, 0, {}), (2, 0, {})])
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G.remove_edge(1, 0)
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G.add_edge(1, 0, data=1)
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assert (sorted(G.in_edges(0, data=True)) ==
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[(1, 0, {'data': 1}), (2, 0, {})])
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assert (sorted(G.in_edges(0, data='data')) ==
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[(1, 0, 1), (2, 0, None)])
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assert (sorted(G.in_edges(0, data='data', default=-1)) ==
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[(1, 0, 1), (2, 0, -1)])
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def is_shallow(self, H, G):
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# graph
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assert G.graph['foo'] == H.graph['foo']
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G.graph['foo'].append(1)
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assert G.graph['foo'] == H.graph['foo']
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# node
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assert G.nodes[0]['foo'] == H.nodes[0]['foo']
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G.nodes[0]['foo'].append(1)
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assert G.nodes[0]['foo'] == H.nodes[0]['foo']
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# edge
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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 is_deep(self, H, G):
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# graph
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assert G.graph['foo'] == H.graph['foo']
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G.graph['foo'].append(1)
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assert G.graph['foo'] != H.graph['foo']
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# node
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assert G.nodes[0]['foo'] == H.nodes[0]['foo']
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G.nodes[0]['foo'].append(1)
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assert G.nodes[0]['foo'] != H.nodes[0]['foo']
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# edge
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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 test_to_undirected(self):
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# MultiDiGraph -> MultiGraph changes number of edges so it is
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# not a copy operation... use is_shallow, not is_shallow_copy
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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(H,G)
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# the result is traversal order dependent so we
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# can't use the is_shallow() test here.
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try:
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assert_edges_equal(H.edges(), [(0, 1), (1, 2), (2, 0)])
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except AssertionError:
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assert_edges_equal(H.edges(), [(0, 1), (1, 2), (1, 2), (2, 0)])
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H = G.to_undirected()
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self.is_deep(H, G)
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def test_has_successor(self):
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G = self.K3
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assert G.has_successor(0, 1) == True
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assert G.has_successor(0, -1) == False
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def test_successors(self):
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G = self.K3
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assert sorted(G.successors(0)) == [1, 2]
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pytest.raises((KeyError, nx.NetworkXError), G.successors, -1)
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def test_has_predecessor(self):
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G = self.K3
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assert G.has_predecessor(0, 1) == True
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assert G.has_predecessor(0, -1) == False
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def test_predecessors(self):
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G = self.K3
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assert sorted(G.predecessors(0)) == [1, 2]
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pytest.raises((KeyError, nx.NetworkXError), G.predecessors, -1)
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def test_degree(self):
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G = self.K3
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assert sorted(G.degree()) == [(0, 4), (1, 4), (2, 4)]
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assert dict(G.degree()) == {0: 4, 1: 4, 2: 4}
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assert G.degree(0) == 4
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assert list(G.degree(iter([0]))) == [(0, 4)]
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G.add_edge(0, 1, weight=0.3, other=1.2)
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assert (sorted(G.degree(weight='weight')) ==
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[(0, 4.3), (1, 4.3), (2, 4)])
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assert (sorted(G.degree(weight='other')) ==
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[(0, 5.2), (1, 5.2), (2, 4)])
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def test_in_degree(self):
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G = self.K3
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assert sorted(G.in_degree()) == [(0, 2), (1, 2), (2, 2)]
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assert dict(G.in_degree()) == {0: 2, 1: 2, 2: 2}
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assert G.in_degree(0) == 2
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assert list(G.in_degree(iter([0]))) == [(0, 2)]
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assert G.in_degree(0, weight='weight') == 2
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def test_out_degree(self):
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G = self.K3
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assert sorted(G.out_degree()) == [(0, 2), (1, 2), (2, 2)]
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assert dict(G.out_degree()) == {0: 2, 1: 2, 2: 2}
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assert G.out_degree(0) == 2
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assert list(G.out_degree(iter([0]))) == [(0, 2)]
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assert G.out_degree(0, weight='weight') == 2
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def test_size(self):
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G = self.K3
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assert G.size() == 6
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assert G.number_of_edges() == 6
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G.add_edge(0, 1, weight=0.3, other=1.2)
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assert round(G.size(weight='weight'), 2) == 6.3
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assert round(G.size(weight='other'), 2) == 7.2
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def test_to_undirected_reciprocal(self):
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G = self.Graph()
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G.add_edge(1, 2)
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assert G.to_undirected().has_edge(1, 2)
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assert not G.to_undirected(reciprocal=True).has_edge(1, 2)
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G.add_edge(2, 1)
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assert G.to_undirected(reciprocal=True).has_edge(1, 2)
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def test_reverse_copy(self):
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G = nx.MultiDiGraph([(0, 1), (0, 1)])
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R = G.reverse()
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assert sorted(R.edges()) == [(1, 0), (1, 0)]
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R.remove_edge(1, 0)
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assert sorted(R.edges()) == [(1, 0)]
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assert sorted(G.edges()) == [(0, 1), (0, 1)]
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def test_reverse_nocopy(self):
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G = nx.MultiDiGraph([(0, 1), (0, 1)])
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R = G.reverse(copy=False)
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assert sorted(R.edges()) == [(1, 0), (1, 0)]
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pytest.raises(nx.NetworkXError, R.remove_edge, 1, 0)
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class TestMultiDiGraph(BaseMultiDiGraphTester, TestMultiGraph):
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def setup_method(self):
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self.Graph = nx.MultiDiGraph
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# build K3
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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 = {0: {}, 1: {}, 2: {}}
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self.K3._succ = self.K3._adj
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self.K3._pred = {0: {}, 1: {}, 2: {}}
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for u in self.k3nodes:
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for v in self.k3nodes:
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if u == v:
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continue
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d = {0: {}}
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self.K3._succ[u][v] = d
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self.K3._pred[v][u] = d
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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_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: {}}
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assert G._succ == {0: {1: {0: {}}}, 1: {}}
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assert G._pred == {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: {}}
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assert G._succ == {0: {1: {0: {}}}, 1: {}}
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assert G._pred == {0: {}, 1: {0: {0: {}}}}
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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}}}, 1: {}}
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assert G._succ == {0: {1: {0: {}, 1: {'weight': 3}}}, 1: {}}
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assert G._pred == {0: {}, 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._succ == {0: {1: {0: {},
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1: {'weight': 3},
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2: {'weight': 2},
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3: {'weight': 3}}},
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1: {}}
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assert G._pred == {0: {}, 1: {0: {0: {}, 1: {'weight': 3},
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2: {'weight': 2},
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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._succ == {0: {1: keydict}, 1: {}}
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assert G._pred == {1: {0: keydict}, 0: {}}
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# too few in tuple
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pytest.raises(nx.NetworkXError, G.add_edges_from, [(0,)])
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# too many in tuple
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pytest.raises(nx.NetworkXError, G.add_edges_from, [(0, 1, 2, 3, 4)])
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# not a tuple
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pytest.raises(TypeError, 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._succ == {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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assert G._pred == {0: {1: {0: {}}, 2: {0: {}}},
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1: {2: {0: {}}},
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2: {0: {0: {}}, 1: {0: {}}}}
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pytest.raises((KeyError, nx.NetworkXError), G.remove_edge, -1, 0)
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pytest.raises((KeyError, nx.NetworkXError), G.remove_edge, 0, 2,
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key=1)
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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')
|
||
|
|
assert G._adj == {0: {1: {0: {}}, 2: {0: {}}},
|
||
|
|
1: {0: {0: {}}, 2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
|
||
|
|
assert G._succ == {0: {1: {0: {}}, 2: {0: {}}},
|
||
|
|
1: {0: {0: {}}, 2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
|
||
|
|
assert G._pred == {0: {1: {0: {}}, 2: {0: {}}},
|
||
|
|
1: {0: {0: {}}, 2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
G.remove_edge(0, 1)
|
||
|
|
assert G._succ == {0: {2: {0: {}}},
|
||
|
|
1: {0: {0: {}}, 2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
assert G._pred == {0: {1: {0: {}}, 2: {0: {}}},
|
||
|
|
1: {2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
pytest.raises((KeyError, nx.NetworkXError), G.remove_edge, -1, 0)
|
||
|
|
|
||
|
|
def test_remove_edges_from(self):
|
||
|
|
G = self.K3
|
||
|
|
G.remove_edges_from([(0, 1)])
|
||
|
|
assert G._succ == {0: {2: {0: {}}},
|
||
|
|
1: {0: {0: {}}, 2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
assert G._pred == {0: {1: {0: {}}, 2: {0: {}}},
|
||
|
|
1: {2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
G.remove_edges_from([(0, 0)]) # silent fail
|
||
|
|
|
||
|
|
|
||
|
|
class TestEdgeSubgraph(TestMultiGraphEdgeSubgraph):
|
||
|
|
"""Unit tests for the :meth:`MultiDiGraph.edge_subgraph` method."""
|
||
|
|
|
||
|
|
def setup_method(self):
|
||
|
|
# Create a quadruply-linked path graph on five nodes.
|
||
|
|
G = nx.MultiDiGraph()
|
||
|
|
nx.add_path(G, range(5))
|
||
|
|
nx.add_path(G, range(5))
|
||
|
|
nx.add_path(G, reversed(range(5)))
|
||
|
|
nx.add_path(G, reversed(range(5)))
|
||
|
|
# Add some node, edge, and graph attributes.
|
||
|
|
for i in range(5):
|
||
|
|
G.nodes[i]['name'] = 'node{}'.format(i)
|
||
|
|
G.adj[0][1][0]['name'] = 'edge010'
|
||
|
|
G.adj[0][1][1]['name'] = 'edge011'
|
||
|
|
G.adj[3][4][0]['name'] = 'edge340'
|
||
|
|
G.adj[3][4][1]['name'] = 'edge341'
|
||
|
|
G.graph['name'] = 'graph'
|
||
|
|
# Get the subgraph induced by one of the first edges and one of
|
||
|
|
# the last edges.
|
||
|
|
self.G = G
|
||
|
|
self.H = G.edge_subgraph([(0, 1, 0), (3, 4, 1)])
|