#!/usr/bin/env python import pytest import networkx as nx from networkx.algorithms.operators import * from networkx.generators.classic import empty_graph from networkx.testing import assert_nodes_equal, assert_edges_equal class TestRelabel(): def test_convert_node_labels_to_integers(self): # test that empty graph converts fine for all options G = empty_graph() H = nx.convert_node_labels_to_integers(G, 100) assert list(H.nodes()) == [] assert list(H.edges()) == [] for opt in ["default", "sorted", "increasing degree", "decreasing degree"]: G = empty_graph() H = nx.convert_node_labels_to_integers(G, 100, ordering=opt) assert list(H.nodes()) == [] assert list(H.edges()) == [] G = empty_graph() G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')]) H = nx.convert_node_labels_to_integers(G) degH = (d for n, d in H.degree()) degG = (d for n, d in G.degree()) assert sorted(degH) == sorted(degG) H = nx.convert_node_labels_to_integers(G, 1000) degH = (d for n, d in H.degree()) degG = (d for n, d in G.degree()) assert sorted(degH) == sorted(degG) assert_nodes_equal(H.nodes(), [1000, 1001, 1002, 1003]) H = nx.convert_node_labels_to_integers(G, ordering="increasing degree") degH = (d for n, d in H.degree()) degG = (d for n, d in G.degree()) assert sorted(degH) == sorted(degG) assert H.degree(0) == 1 assert H.degree(1) == 2 assert H.degree(2) == 2 assert H.degree(3) == 3 H = nx.convert_node_labels_to_integers(G, ordering="decreasing degree") degH = (d for n, d in H.degree()) degG = (d for n, d in G.degree()) assert sorted(degH) == sorted(degG) assert H.degree(0) == 3 assert H.degree(1) == 2 assert H.degree(2) == 2 assert H.degree(3) == 1 H = nx.convert_node_labels_to_integers(G, ordering="increasing degree", label_attribute='label') degH = (d for n, d in H.degree()) degG = (d for n, d in G.degree()) assert sorted(degH) == sorted(degG) assert H.degree(0) == 1 assert H.degree(1) == 2 assert H.degree(2) == 2 assert H.degree(3) == 3 # check mapping assert H.nodes[3]['label'] == 'C' assert H.nodes[0]['label'] == 'D' assert H.nodes[1]['label'] == 'A' or H.nodes[2]['label'] == 'A' assert H.nodes[1]['label'] == 'B' or H.nodes[2]['label'] == 'B' def test_convert_to_integers2(self): G = empty_graph() G.add_edges_from([('C', 'D'), ('A', 'B'), ('A', 'C'), ('B', 'C')]) H = nx.convert_node_labels_to_integers(G, ordering="sorted") degH = (d for n, d in H.degree()) degG = (d for n, d in G.degree()) assert sorted(degH) == sorted(degG) H = nx.convert_node_labels_to_integers(G, ordering="sorted", label_attribute='label') assert H.nodes[0]['label'] == 'A' assert H.nodes[1]['label'] == 'B' assert H.nodes[2]['label'] == 'C' assert H.nodes[3]['label'] == 'D' def test_convert_to_integers_raise(self): with pytest.raises(nx.NetworkXError): G = nx.Graph() H = nx.convert_node_labels_to_integers(G, ordering="increasing age") def test_relabel_nodes_copy(self): G = nx.empty_graph() G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')]) mapping = {'A': 'aardvark', 'B': 'bear', 'C': 'cat', 'D': 'dog'} H = nx.relabel_nodes(G, mapping) assert_nodes_equal(H.nodes(), ['aardvark', 'bear', 'cat', 'dog']) def test_relabel_nodes_function(self): G = nx.empty_graph() G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')]) # function mapping no longer encouraged but works def mapping(n): return ord(n) H = nx.relabel_nodes(G, mapping) assert_nodes_equal(H.nodes(), [65, 66, 67, 68]) def test_relabel_nodes_graph(self): G = nx.Graph([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')]) mapping = {'A': 'aardvark', 'B': 'bear', 'C': 'cat', 'D': 'dog'} H = nx.relabel_nodes(G, mapping) assert_nodes_equal(H.nodes(), ['aardvark', 'bear', 'cat', 'dog']) def test_relabel_nodes_orderedgraph(self): G = nx.OrderedGraph() G.add_nodes_from([1, 2, 3]) G.add_edges_from([(1, 3), (2, 3)]) mapping = {1: 'a', 2: 'b', 3: 'c'} H = nx.relabel_nodes(G, mapping) assert list(H.nodes) == ['a', 'b', 'c'] def test_relabel_nodes_digraph(self): G = nx.DiGraph([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')]) mapping = {'A': 'aardvark', 'B': 'bear', 'C': 'cat', 'D': 'dog'} H = nx.relabel_nodes(G, mapping, copy=False) assert_nodes_equal(H.nodes(), ['aardvark', 'bear', 'cat', 'dog']) def test_relabel_nodes_multigraph(self): G = nx.MultiGraph([('a', 'b'), ('a', 'b')]) mapping = {'a': 'aardvark', 'b': 'bear'} G = nx.relabel_nodes(G, mapping, copy=False) assert_nodes_equal(G.nodes(), ['aardvark', 'bear']) assert_edges_equal(G.edges(), [('aardvark', 'bear'), ('aardvark', 'bear')]) def test_relabel_nodes_multidigraph(self): G = nx.MultiDiGraph([('a', 'b'), ('a', 'b')]) mapping = {'a': 'aardvark', 'b': 'bear'} G = nx.relabel_nodes(G, mapping, copy=False) assert_nodes_equal(G.nodes(), ['aardvark', 'bear']) assert_edges_equal(G.edges(), [('aardvark', 'bear'), ('aardvark', 'bear')]) def test_relabel_isolated_nodes_to_same(self): G = nx.Graph() G.add_nodes_from(range(4)) mapping = {1: 1} H = nx.relabel_nodes(G, mapping, copy=False) assert_nodes_equal(H.nodes(), list(range(4))) def test_relabel_nodes_missing(self): with pytest.raises(KeyError): G = nx.Graph([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')]) mapping = {0: 'aardvark'} G = nx.relabel_nodes(G, mapping, copy=False) def test_relabel_copy_name(self): G = nx.Graph() H = nx.relabel_nodes(G, {}, copy=True) assert H.graph == G.graph H = nx.relabel_nodes(G, {}, copy=False) assert H.graph == G.graph G.name = "first" H = nx.relabel_nodes(G, {}, copy=True) assert H.graph == G.graph H = nx.relabel_nodes(G, {}, copy=False) assert H.graph == G.graph def test_relabel_toposort(self): K5 = nx.complete_graph(4) G = nx.complete_graph(4) G = nx.relabel_nodes(G, dict([(i, i + 1) for i in range(4)]), copy=False) nx.is_isomorphic(K5, G) G = nx.complete_graph(4) G = nx.relabel_nodes(G, dict([(i, i - 1) for i in range(4)]), copy=False) nx.is_isomorphic(K5, G) def test_relabel_selfloop(self): G = nx.DiGraph([(1, 1), (1, 2), (2, 3)]) G = nx.relabel_nodes(G, {1: 'One', 2: 'Two', 3: 'Three'}, copy=False) assert_nodes_equal(G.nodes(), ['One', 'Three', 'Two']) G = nx.MultiDiGraph([(1, 1), (1, 2), (2, 3)]) G = nx.relabel_nodes(G, {1: 'One', 2: 'Two', 3: 'Three'}, copy=False) assert_nodes_equal(G.nodes(), ['One', 'Three', 'Two']) G = nx.MultiDiGraph([(1, 1)]) G = nx.relabel_nodes(G, {1: 0}, copy=False) assert_nodes_equal(G.nodes(), [0])