609 lines
21 KiB
Python
609 lines
21 KiB
Python
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#!/usr/bin/env python
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import random
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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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class TestFunction(object):
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def setup_method(self):
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self.G = nx.Graph({0: [1, 2, 3], 1: [1, 2, 0], 4: []}, name='Test')
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self.Gdegree = {0: 3, 1: 2, 2: 2, 3: 1, 4: 0}
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self.Gnodes = list(range(5))
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self.Gedges = [(0, 1), (0, 2), (0, 3), (1, 0), (1, 1), (1, 2)]
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self.DG = nx.DiGraph({0: [1, 2, 3], 1: [1, 2, 0], 4: []})
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self.DGin_degree = {0: 1, 1: 2, 2: 2, 3: 1, 4: 0}
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self.DGout_degree = {0: 3, 1: 3, 2: 0, 3: 0, 4: 0}
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self.DGnodes = list(range(5))
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self.DGedges = [(0, 1), (0, 2), (0, 3), (1, 0), (1, 1), (1, 2)]
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def test_nodes(self):
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assert_nodes_equal(self.G.nodes(), list(nx.nodes(self.G)))
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assert_nodes_equal(self.DG.nodes(), list(nx.nodes(self.DG)))
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def test_edges(self):
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assert_edges_equal(self.G.edges(), list(nx.edges(self.G)))
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assert sorted(self.DG.edges()) == sorted(nx.edges(self.DG))
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assert_edges_equal(self.G.edges(nbunch=[0, 1, 3]),
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list(nx.edges(self.G, nbunch=[0, 1, 3])))
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assert (sorted(self.DG.edges(nbunch=[0, 1, 3])) ==
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sorted(nx.edges(self.DG, nbunch=[0, 1, 3])))
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def test_degree(self):
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assert_edges_equal(self.G.degree(), list(nx.degree(self.G)))
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assert sorted(self.DG.degree()) == sorted(nx.degree(self.DG))
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assert_edges_equal(self.G.degree(nbunch=[0, 1]),
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list(nx.degree(self.G, nbunch=[0, 1])))
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assert (sorted(self.DG.degree(nbunch=[0, 1])) ==
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sorted(nx.degree(self.DG, nbunch=[0, 1])))
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assert_edges_equal(self.G.degree(weight='weight'),
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list(nx.degree(self.G, weight='weight')))
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assert (sorted(self.DG.degree(weight='weight')) ==
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sorted(nx.degree(self.DG, weight='weight')))
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def test_neighbors(self):
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assert list(self.G.neighbors(1)) == list(nx.neighbors(self.G, 1))
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assert list(self.DG.neighbors(1)) == list(nx.neighbors(self.DG, 1))
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def test_number_of_nodes(self):
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assert self.G.number_of_nodes() == nx.number_of_nodes(self.G)
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assert self.DG.number_of_nodes() == nx.number_of_nodes(self.DG)
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def test_number_of_edges(self):
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assert self.G.number_of_edges() == nx.number_of_edges(self.G)
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assert self.DG.number_of_edges() == nx.number_of_edges(self.DG)
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def test_is_directed(self):
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assert self.G.is_directed() == nx.is_directed(self.G)
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assert self.DG.is_directed() == nx.is_directed(self.DG)
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def test_add_star(self):
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G = self.G.copy()
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nlist = [12, 13, 14, 15]
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nx.add_star(G, nlist)
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assert_edges_equal(G.edges(nlist), [(12, 13), (12, 14), (12, 15)])
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G = self.G.copy()
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nx.add_star(G, nlist, weight=2.0)
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assert_edges_equal(G.edges(nlist, data=True),
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[(12, 13, {'weight': 2.}),
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(12, 14, {'weight': 2.}),
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(12, 15, {'weight': 2.})])
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G = self.G.copy()
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nlist = [12]
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nx.add_star(G, nlist)
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assert_nodes_equal(G, list(self.G) + nlist)
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G = self.G.copy()
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nlist = []
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nx.add_star(G, nlist)
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assert_nodes_equal(G.nodes, self.Gnodes)
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assert_edges_equal(G.edges, self.G.edges)
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def test_add_path(self):
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G = self.G.copy()
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nlist = [12, 13, 14, 15]
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nx.add_path(G, nlist)
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assert_edges_equal(G.edges(nlist), [(12, 13), (13, 14), (14, 15)])
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G = self.G.copy()
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nx.add_path(G, nlist, weight=2.0)
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assert_edges_equal(G.edges(nlist, data=True),
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[(12, 13, {'weight': 2.}),
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(13, 14, {'weight': 2.}),
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(14, 15, {'weight': 2.})])
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G = self.G.copy()
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nlist = [None]
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nx.add_path(G, nlist)
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assert_edges_equal(G.edges(nlist), [])
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assert_nodes_equal(G, list(self.G) + [None])
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G = self.G.copy()
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nlist = iter([None])
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nx.add_path(G, nlist)
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assert_edges_equal(G.edges([None]), [])
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assert_nodes_equal(G, list(self.G) + [None])
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G = self.G.copy()
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nlist = [12]
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nx.add_path(G, nlist)
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assert_edges_equal(G.edges(nlist), [])
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assert_nodes_equal(G, list(self.G) + [12])
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G = self.G.copy()
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nlist = iter([12])
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nx.add_path(G, nlist)
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assert_edges_equal(G.edges([12]), [])
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assert_nodes_equal(G, list(self.G) + [12])
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G = self.G.copy()
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nlist = []
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nx.add_path(G, nlist)
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assert_edges_equal(G.edges, self.G.edges)
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assert_nodes_equal(G, list(self.G))
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G = self.G.copy()
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nlist = iter([])
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nx.add_path(G, nlist)
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assert_edges_equal(G.edges, self.G.edges)
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assert_nodes_equal(G, list(self.G))
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def test_add_cycle(self):
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G = self.G.copy()
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nlist = [12, 13, 14, 15]
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oklists = [[(12, 13), (12, 15), (13, 14), (14, 15)],
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[(12, 13), (13, 14), (14, 15), (15, 12)]]
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nx.add_cycle(G, nlist)
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assert sorted(G.edges(nlist)) in oklists
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G = self.G.copy()
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oklists = [[(12, 13, {'weight': 1.}),
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(12, 15, {'weight': 1.}),
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(13, 14, {'weight': 1.}),
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(14, 15, {'weight': 1.})],
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[(12, 13, {'weight': 1.}),
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(13, 14, {'weight': 1.}),
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(14, 15, {'weight': 1.}),
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(15, 12, {'weight': 1.})]]
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nx.add_cycle(G, nlist, weight=1.0)
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assert sorted(G.edges(nlist, data=True)) in oklists
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G = self.G.copy()
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nlist = [12]
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nx.add_cycle(G, nlist)
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assert_nodes_equal(G, list(self.G) + nlist)
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G = self.G.copy()
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nlist = []
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nx.add_cycle(G, nlist)
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assert_nodes_equal(G.nodes, self.Gnodes)
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assert_edges_equal(G.edges, self.G.edges)
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def test_subgraph(self):
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assert (self.G.subgraph([0, 1, 2, 4]).adj ==
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nx.subgraph(self.G, [0, 1, 2, 4]).adj)
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assert (self.DG.subgraph([0, 1, 2, 4]).adj ==
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nx.subgraph(self.DG, [0, 1, 2, 4]).adj)
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assert (self.G.subgraph([0, 1, 2, 4]).adj ==
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nx.induced_subgraph(self.G, [0, 1, 2, 4]).adj)
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assert (self.DG.subgraph([0, 1, 2, 4]).adj ==
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nx.induced_subgraph(self.DG, [0, 1, 2, 4]).adj)
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# subgraph-subgraph chain is allowed in function interface
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H = nx.induced_subgraph(self.G.subgraph([0, 1, 2, 4]), [0, 1, 4])
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assert H._graph is not self.G
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assert H.adj == self.G.subgraph([0, 1, 4]).adj
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def test_edge_subgraph(self):
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assert (self.G.edge_subgraph([(1, 2), (0, 3)]).adj ==
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nx.edge_subgraph(self.G, [(1, 2), (0, 3)]).adj)
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assert (self.DG.edge_subgraph([(1, 2), (0, 3)]).adj ==
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nx.edge_subgraph(self.DG, [(1, 2), (0, 3)]).adj)
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def test_restricted_view(self):
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H = nx.restricted_view(self.G, [0, 2, 5], [(1, 2), (3, 4)])
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assert set(H.nodes) == {1, 3, 4}
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assert set(H.edges) == {(1, 1)}
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def test_create_empty_copy(self):
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G = nx.create_empty_copy(self.G, with_data=False)
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assert_nodes_equal(G, list(self.G))
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assert G.graph == {}
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assert G._node == {}.fromkeys(self.G.nodes(), {})
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assert G._adj == {}.fromkeys(self.G.nodes(), {})
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G = nx.create_empty_copy(self.G)
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assert_nodes_equal(G, list(self.G))
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assert G.graph == self.G.graph
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assert G._node == self.G._node
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assert G._adj == {}.fromkeys(self.G.nodes(), {})
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def test_degree_histogram(self):
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assert nx.degree_histogram(self.G) == [1, 1, 1, 1, 1]
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def test_density(self):
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assert nx.density(self.G) == 0.5
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assert nx.density(self.DG) == 0.3
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G = nx.Graph()
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G.add_node(1)
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assert nx.density(G) == 0.0
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def test_density_selfloop(self):
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G = nx.Graph()
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G.add_edge(1, 1)
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assert nx.density(G) == 0.0
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G.add_edge(1, 2)
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assert nx.density(G) == 2.0
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def test_freeze(self):
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G = nx.freeze(self.G)
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assert G.frozen == True
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pytest.raises(nx.NetworkXError, G.add_node, 1)
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pytest.raises(nx.NetworkXError, G.add_nodes_from, [1])
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pytest.raises(nx.NetworkXError, G.remove_node, 1)
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pytest.raises(nx.NetworkXError, G.remove_nodes_from, [1])
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pytest.raises(nx.NetworkXError, G.add_edge, 1, 2)
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pytest.raises(nx.NetworkXError, G.add_edges_from, [(1, 2)])
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pytest.raises(nx.NetworkXError, G.remove_edge, 1, 2)
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pytest.raises(nx.NetworkXError, G.remove_edges_from, [(1, 2)])
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pytest.raises(nx.NetworkXError, G.clear)
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def test_is_frozen(self):
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assert nx.is_frozen(self.G) == False
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G = nx.freeze(self.G)
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assert G.frozen == nx.is_frozen(self.G)
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assert G.frozen == True
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def test_info(self):
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G = nx.path_graph(5)
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G.name = "path_graph(5)"
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info = nx.info(G)
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expected_graph_info = '\n'.join(['Name: path_graph(5)',
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'Type: Graph',
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'Number of nodes: 5',
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'Number of edges: 4',
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'Average degree: 1.6000'])
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assert info == expected_graph_info
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info = nx.info(G, n=1)
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expected_node_info = '\n'.join(
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['Node 1 has the following properties:',
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'Degree: 2',
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'Neighbors: 0 2'])
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assert info == expected_node_info
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def test_info_digraph(self):
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G = nx.DiGraph(name='path_graph(5)')
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nx.add_path(G, [0, 1, 2, 3, 4])
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info = nx.info(G)
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expected_graph_info = '\n'.join(['Name: path_graph(5)',
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'Type: DiGraph',
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'Number of nodes: 5',
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'Number of edges: 4',
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'Average in degree: 0.8000',
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'Average out degree: 0.8000'])
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assert info == expected_graph_info
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info = nx.info(G, n=1)
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expected_node_info = '\n'.join(
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['Node 1 has the following properties:',
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'Degree: 2',
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'Neighbors: 2'])
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assert info == expected_node_info
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pytest.raises(nx.NetworkXError, nx.info, G, n=-1)
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def test_neighbors_complete_graph(self):
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graph = nx.complete_graph(100)
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pop = random.sample(list(graph), 1)
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nbors = list(nx.neighbors(graph, pop[0]))
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# should be all the other vertices in the graph
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assert len(nbors) == len(graph) - 1
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graph = nx.path_graph(100)
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node = random.sample(list(graph), 1)[0]
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nbors = list(nx.neighbors(graph, node))
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# should be all the other vertices in the graph
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if node != 0 and node != 99:
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assert len(nbors) == 2
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else:
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assert len(nbors) == 1
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# create a star graph with 99 outer nodes
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graph = nx.star_graph(99)
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nbors = list(nx.neighbors(graph, 0))
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assert len(nbors) == 99
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def test_non_neighbors(self):
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graph = nx.complete_graph(100)
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pop = random.sample(list(graph), 1)
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nbors = list(nx.non_neighbors(graph, pop[0]))
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# should be all the other vertices in the graph
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assert len(nbors) == 0
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graph = nx.path_graph(100)
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node = random.sample(list(graph), 1)[0]
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nbors = list(nx.non_neighbors(graph, node))
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# should be all the other vertices in the graph
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if node != 0 and node != 99:
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assert len(nbors) == 97
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else:
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assert len(nbors) == 98
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# create a star graph with 99 outer nodes
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graph = nx.star_graph(99)
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nbors = list(nx.non_neighbors(graph, 0))
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assert len(nbors) == 0
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# disconnected graph
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graph = nx.Graph()
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graph.add_nodes_from(range(10))
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nbors = list(nx.non_neighbors(graph, 0))
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assert len(nbors) == 9
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|
def test_non_edges(self):
|
||
|
|
# All possible edges exist
|
||
|
|
graph = nx.complete_graph(5)
|
||
|
|
nedges = list(nx.non_edges(graph))
|
||
|
|
assert len(nedges) == 0
|
||
|
|
|
||
|
|
graph = nx.path_graph(4)
|
||
|
|
expected = [(0, 2), (0, 3), (1, 3)]
|
||
|
|
nedges = list(nx.non_edges(graph))
|
||
|
|
for (u, v) in expected:
|
||
|
|
assert (u, v) in nedges or (v, u) in nedges
|
||
|
|
|
||
|
|
graph = nx.star_graph(4)
|
||
|
|
expected = [(1, 2), (1, 3), (1, 4), (2, 3), (2, 4), (3, 4)]
|
||
|
|
nedges = list(nx.non_edges(graph))
|
||
|
|
for (u, v) in expected:
|
||
|
|
assert (u, v) in nedges or (v, u) in nedges
|
||
|
|
|
||
|
|
# Directed graphs
|
||
|
|
graph = nx.DiGraph()
|
||
|
|
graph.add_edges_from([(0, 2), (2, 0), (2, 1)])
|
||
|
|
expected = [(0, 1), (1, 0), (1, 2)]
|
||
|
|
nedges = list(nx.non_edges(graph))
|
||
|
|
for e in expected:
|
||
|
|
assert e in nedges
|
||
|
|
|
||
|
|
def test_is_weighted(self):
|
||
|
|
G = nx.Graph()
|
||
|
|
assert not nx.is_weighted(G)
|
||
|
|
|
||
|
|
G = nx.path_graph(4)
|
||
|
|
assert not nx.is_weighted(G)
|
||
|
|
assert not nx.is_weighted(G, (2, 3))
|
||
|
|
|
||
|
|
G.add_node(4)
|
||
|
|
G.add_edge(3, 4, weight=4)
|
||
|
|
assert not nx.is_weighted(G)
|
||
|
|
assert nx.is_weighted(G, (3, 4))
|
||
|
|
|
||
|
|
G = nx.DiGraph()
|
||
|
|
G.add_weighted_edges_from([('0', '3', 3), ('0', '1', -5),
|
||
|
|
('1', '0', -5), ('0', '2', 2),
|
||
|
|
('1', '2', 4), ('2', '3', 1)])
|
||
|
|
assert nx.is_weighted(G)
|
||
|
|
assert nx.is_weighted(G, ('1', '0'))
|
||
|
|
|
||
|
|
G = G.to_undirected()
|
||
|
|
assert nx.is_weighted(G)
|
||
|
|
assert nx.is_weighted(G, ('1', '0'))
|
||
|
|
|
||
|
|
pytest.raises(nx.NetworkXError, nx.is_weighted, G, (1, 2))
|
||
|
|
|
||
|
|
def test_is_negatively_weighted(self):
|
||
|
|
G = nx.Graph()
|
||
|
|
assert not nx.is_negatively_weighted(G)
|
||
|
|
|
||
|
|
G.add_node(1)
|
||
|
|
G.add_nodes_from([2, 3, 4, 5])
|
||
|
|
assert not nx.is_negatively_weighted(G)
|
||
|
|
|
||
|
|
G.add_edge(1, 2, weight=4)
|
||
|
|
assert not nx.is_negatively_weighted(G, (1, 2))
|
||
|
|
|
||
|
|
G.add_edges_from([(1, 3), (2, 4), (2, 6)])
|
||
|
|
G[1][3]['color'] = 'blue'
|
||
|
|
assert not nx.is_negatively_weighted(G)
|
||
|
|
assert not nx.is_negatively_weighted(G, (1, 3))
|
||
|
|
|
||
|
|
G[2][4]['weight'] = -2
|
||
|
|
assert nx.is_negatively_weighted(G, (2, 4))
|
||
|
|
assert nx.is_negatively_weighted(G)
|
||
|
|
|
||
|
|
G = nx.DiGraph()
|
||
|
|
G.add_weighted_edges_from([('0', '3', 3), ('0', '1', -5),
|
||
|
|
('1', '0', -2), ('0', '2', 2),
|
||
|
|
('1', '2', -3), ('2', '3', 1)])
|
||
|
|
assert nx.is_negatively_weighted(G)
|
||
|
|
assert not nx.is_negatively_weighted(G, ('0', '3'))
|
||
|
|
assert nx.is_negatively_weighted(G, ('1', '0'))
|
||
|
|
|
||
|
|
pytest.raises(nx.NetworkXError, nx.is_negatively_weighted, G, (1, 4))
|
||
|
|
|
||
|
|
|
||
|
|
class TestCommonNeighbors():
|
||
|
|
@classmethod
|
||
|
|
def setup_class(cls):
|
||
|
|
cls.func = staticmethod(nx.common_neighbors)
|
||
|
|
|
||
|
|
def test_func(G, u, v, expected):
|
||
|
|
result = sorted(cls.func(G, u, v))
|
||
|
|
assert result == expected
|
||
|
|
cls.test = staticmethod(test_func)
|
||
|
|
|
||
|
|
def test_K5(self):
|
||
|
|
G = nx.complete_graph(5)
|
||
|
|
self.test(G, 0, 1, [2, 3, 4])
|
||
|
|
|
||
|
|
def test_P3(self):
|
||
|
|
G = nx.path_graph(3)
|
||
|
|
self.test(G, 0, 2, [1])
|
||
|
|
|
||
|
|
def test_S4(self):
|
||
|
|
G = nx.star_graph(4)
|
||
|
|
self.test(G, 1, 2, [0])
|
||
|
|
|
||
|
|
def test_digraph(self):
|
||
|
|
with pytest.raises(nx.NetworkXNotImplemented):
|
||
|
|
G = nx.DiGraph()
|
||
|
|
G.add_edges_from([(0, 1), (1, 2)])
|
||
|
|
self.func(G, 0, 2)
|
||
|
|
|
||
|
|
def test_nonexistent_nodes(self):
|
||
|
|
G = nx.complete_graph(5)
|
||
|
|
pytest.raises(nx.NetworkXError, nx.common_neighbors, G, 5, 4)
|
||
|
|
pytest.raises(nx.NetworkXError, nx.common_neighbors, G, 4, 5)
|
||
|
|
pytest.raises(nx.NetworkXError, nx.common_neighbors, G, 5, 6)
|
||
|
|
|
||
|
|
def test_custom1(self):
|
||
|
|
"""Case of no common neighbors."""
|
||
|
|
G = nx.Graph()
|
||
|
|
G.add_nodes_from([0, 1])
|
||
|
|
self.test(G, 0, 1, [])
|
||
|
|
|
||
|
|
def test_custom2(self):
|
||
|
|
"""Case of equal nodes."""
|
||
|
|
G = nx.complete_graph(4)
|
||
|
|
self.test(G, 0, 0, [1, 2, 3])
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_node_attributes():
|
||
|
|
graphs = [nx.Graph(), nx.DiGraph(), nx.MultiGraph(), nx.MultiDiGraph()]
|
||
|
|
for G in graphs:
|
||
|
|
# Test single value
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
vals = 100
|
||
|
|
attr = 'hello'
|
||
|
|
nx.set_node_attributes(G, vals, attr)
|
||
|
|
assert G.nodes[0][attr] == vals
|
||
|
|
assert G.nodes[1][attr] == vals
|
||
|
|
assert G.nodes[2][attr] == vals
|
||
|
|
|
||
|
|
# Test dictionary
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
vals = dict(zip(sorted(G.nodes()), range(len(G))))
|
||
|
|
attr = 'hi'
|
||
|
|
nx.set_node_attributes(G, vals, attr)
|
||
|
|
assert G.nodes[0][attr] == 0
|
||
|
|
assert G.nodes[1][attr] == 1
|
||
|
|
assert G.nodes[2][attr] == 2
|
||
|
|
|
||
|
|
# Test dictionary of dictionaries
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
d = {'hi': 0, 'hello': 200}
|
||
|
|
vals = dict.fromkeys(G.nodes(), d)
|
||
|
|
vals.pop(0)
|
||
|
|
nx.set_node_attributes(G, vals)
|
||
|
|
assert G.nodes[0] == {}
|
||
|
|
assert G.nodes[1]["hi"] == 0
|
||
|
|
assert G.nodes[2]["hello"] == 200
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_edge_attributes():
|
||
|
|
graphs = [nx.Graph(), nx.DiGraph()]
|
||
|
|
for G in graphs:
|
||
|
|
# Test single value
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
attr = 'hello'
|
||
|
|
vals = 3
|
||
|
|
nx.set_edge_attributes(G, vals, attr)
|
||
|
|
assert G[0][1][attr] == vals
|
||
|
|
assert G[1][2][attr] == vals
|
||
|
|
|
||
|
|
# Test multiple values
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
attr = 'hi'
|
||
|
|
edges = [(0, 1), (1, 2)]
|
||
|
|
vals = dict(zip(edges, range(len(edges))))
|
||
|
|
nx.set_edge_attributes(G, vals, attr)
|
||
|
|
assert G[0][1][attr] == 0
|
||
|
|
assert G[1][2][attr] == 1
|
||
|
|
|
||
|
|
# Test dictionary of dictionaries
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
d = {'hi': 0, 'hello': 200}
|
||
|
|
edges = [(0, 1)]
|
||
|
|
vals = dict.fromkeys(edges, d)
|
||
|
|
nx.set_edge_attributes(G, vals)
|
||
|
|
assert G[0][1]['hi'] == 0
|
||
|
|
assert G[0][1]['hello'] == 200
|
||
|
|
assert G[1][2] == {}
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_edge_attributes_multi():
|
||
|
|
graphs = [nx.MultiGraph(), nx.MultiDiGraph()]
|
||
|
|
for G in graphs:
|
||
|
|
# Test single value
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
attr = 'hello'
|
||
|
|
vals = 3
|
||
|
|
nx.set_edge_attributes(G, vals, attr)
|
||
|
|
assert G[0][1][0][attr] == vals
|
||
|
|
assert G[1][2][0][attr] == vals
|
||
|
|
|
||
|
|
# Test multiple values
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
attr = 'hi'
|
||
|
|
edges = [(0, 1, 0), (1, 2, 0)]
|
||
|
|
vals = dict(zip(edges, range(len(edges))))
|
||
|
|
nx.set_edge_attributes(G, vals, attr)
|
||
|
|
assert G[0][1][0][attr] == 0
|
||
|
|
assert G[1][2][0][attr] == 1
|
||
|
|
|
||
|
|
# Test dictionary of dictionaries
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
d = {'hi': 0, 'hello': 200}
|
||
|
|
edges = [(0, 1, 0)]
|
||
|
|
vals = dict.fromkeys(edges, d)
|
||
|
|
nx.set_edge_attributes(G, vals)
|
||
|
|
assert G[0][1][0]['hi'] == 0
|
||
|
|
assert G[0][1][0]['hello'] == 200
|
||
|
|
assert G[1][2][0] == {}
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_node_attributes():
|
||
|
|
graphs = [nx.Graph(), nx.DiGraph(), nx.MultiGraph(), nx.MultiDiGraph()]
|
||
|
|
for G in graphs:
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
attr = 'hello'
|
||
|
|
vals = 100
|
||
|
|
nx.set_node_attributes(G, vals, attr)
|
||
|
|
attrs = nx.get_node_attributes(G, attr)
|
||
|
|
assert attrs[0] == vals
|
||
|
|
assert attrs[1] == vals
|
||
|
|
assert attrs[2] == vals
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_edge_attributes():
|
||
|
|
graphs = [nx.Graph(), nx.DiGraph(), nx.MultiGraph(), nx.MultiDiGraph()]
|
||
|
|
for G in graphs:
|
||
|
|
G = nx.path_graph(3, create_using=G)
|
||
|
|
attr = 'hello'
|
||
|
|
vals = 100
|
||
|
|
nx.set_edge_attributes(G, vals, attr)
|
||
|
|
attrs = nx.get_edge_attributes(G, attr)
|
||
|
|
|
||
|
|
assert len(attrs) == 2
|
||
|
|
if G.is_multigraph():
|
||
|
|
keys = [(0, 1, 0), (1, 2, 0)]
|
||
|
|
for u, v, k in keys:
|
||
|
|
try:
|
||
|
|
assert attrs[(u, v, k)] == 100
|
||
|
|
except KeyError:
|
||
|
|
assert attrs[(v, u, k)] == 100
|
||
|
|
else:
|
||
|
|
keys = [(0, 1), (1, 2)]
|
||
|
|
for u, v in keys:
|
||
|
|
try:
|
||
|
|
assert attrs[(u, v)] == 100
|
||
|
|
except KeyError:
|
||
|
|
assert attrs[(v, u)] == 100
|
||
|
|
|
||
|
|
|
||
|
|
def test_is_empty():
|
||
|
|
graphs = [nx.Graph(), nx.DiGraph(), nx.MultiGraph(), nx.MultiDiGraph()]
|
||
|
|
for G in graphs:
|
||
|
|
assert nx.is_empty(G)
|
||
|
|
G.add_nodes_from(range(5))
|
||
|
|
assert nx.is_empty(G)
|
||
|
|
G.add_edges_from([(1, 2), (3, 4)])
|
||
|
|
assert not nx.is_empty(G)
|
||
|
|
|
||
|
|
|
||
|
|
def test_selfloops():
|
||
|
|
graphs = [nx.Graph(), nx.DiGraph(), nx.MultiGraph(), nx.MultiDiGraph()]
|
||
|
|
for graph in graphs:
|
||
|
|
G = nx.complete_graph(3, create_using=graph)
|
||
|
|
G.add_edge(0, 0)
|
||
|
|
assert_nodes_equal(nx.nodes_with_selfloops(G), [0])
|
||
|
|
assert_edges_equal(nx.selfloop_edges(G), [(0, 0)])
|
||
|
|
assert_edges_equal(nx.selfloop_edges(G, data=True), [(0, 0, {})])
|
||
|
|
assert nx.number_of_selfloops(G) == 1
|
||
|
|
# test selfloop attr
|
||
|
|
G.add_edge(1, 1, weight=2)
|
||
|
|
assert_edges_equal(nx.selfloop_edges(G, data=True),
|
||
|
|
[(0, 0, {}), (1, 1, {'weight': 2})])
|
||
|
|
assert_edges_equal(nx.selfloop_edges(G, data='weight'),
|
||
|
|
[(0, 0, None), (1, 1, 2)])
|