aboutsummaryrefslogtreecommitdiff
path: root/.venv/lib/python3.12/site-packages/networkx/generators/tests/test_small.py
blob: 355d6d36af52d5525a560fb77eea5c51d89ab82b (about) (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
import pytest

import networkx as nx
from networkx.algorithms.isomorphism.isomorph import graph_could_be_isomorphic

is_isomorphic = graph_could_be_isomorphic

"""Generators - Small
=====================

Some small graphs
"""

null = nx.null_graph()


class TestGeneratorsSmall:
    def test__LCF_graph(self):
        # If n<=0, then return the null_graph
        G = nx.LCF_graph(-10, [1, 2], 100)
        assert is_isomorphic(G, null)
        G = nx.LCF_graph(0, [1, 2], 3)
        assert is_isomorphic(G, null)
        G = nx.LCF_graph(0, [1, 2], 10)
        assert is_isomorphic(G, null)

        # Test that LCF(n,[],0) == cycle_graph(n)
        for a, b, c in [(5, [], 0), (10, [], 0), (5, [], 1), (10, [], 10)]:
            G = nx.LCF_graph(a, b, c)
            assert is_isomorphic(G, nx.cycle_graph(a))

        # Generate the utility graph K_{3,3}
        G = nx.LCF_graph(6, [3, -3], 3)
        utility_graph = nx.complete_bipartite_graph(3, 3)
        assert is_isomorphic(G, utility_graph)

        with pytest.raises(nx.NetworkXError, match="Directed Graph not supported"):
            G = nx.LCF_graph(6, [3, -3], 3, create_using=nx.DiGraph)

    def test_properties_named_small_graphs(self):
        G = nx.bull_graph()
        assert sorted(G) == list(range(5))
        assert G.number_of_edges() == 5
        assert sorted(d for n, d in G.degree()) == [1, 1, 2, 3, 3]
        assert nx.diameter(G) == 3
        assert nx.radius(G) == 2

        G = nx.chvatal_graph()
        assert sorted(G) == list(range(12))
        assert G.number_of_edges() == 24
        assert [d for n, d in G.degree()] == 12 * [4]
        assert nx.diameter(G) == 2
        assert nx.radius(G) == 2

        G = nx.cubical_graph()
        assert sorted(G) == list(range(8))
        assert G.number_of_edges() == 12
        assert [d for n, d in G.degree()] == 8 * [3]
        assert nx.diameter(G) == 3
        assert nx.radius(G) == 3

        G = nx.desargues_graph()
        assert sorted(G) == list(range(20))
        assert G.number_of_edges() == 30
        assert [d for n, d in G.degree()] == 20 * [3]

        G = nx.diamond_graph()
        assert sorted(G) == list(range(4))
        assert sorted(d for n, d in G.degree()) == [2, 2, 3, 3]
        assert nx.diameter(G) == 2
        assert nx.radius(G) == 1

        G = nx.dodecahedral_graph()
        assert sorted(G) == list(range(20))
        assert G.number_of_edges() == 30
        assert [d for n, d in G.degree()] == 20 * [3]
        assert nx.diameter(G) == 5
        assert nx.radius(G) == 5

        G = nx.frucht_graph()
        assert sorted(G) == list(range(12))
        assert G.number_of_edges() == 18
        assert [d for n, d in G.degree()] == 12 * [3]
        assert nx.diameter(G) == 4
        assert nx.radius(G) == 3

        G = nx.heawood_graph()
        assert sorted(G) == list(range(14))
        assert G.number_of_edges() == 21
        assert [d for n, d in G.degree()] == 14 * [3]
        assert nx.diameter(G) == 3
        assert nx.radius(G) == 3

        G = nx.hoffman_singleton_graph()
        assert sorted(G) == list(range(50))
        assert G.number_of_edges() == 175
        assert [d for n, d in G.degree()] == 50 * [7]
        assert nx.diameter(G) == 2
        assert nx.radius(G) == 2

        G = nx.house_graph()
        assert sorted(G) == list(range(5))
        assert G.number_of_edges() == 6
        assert sorted(d for n, d in G.degree()) == [2, 2, 2, 3, 3]
        assert nx.diameter(G) == 2
        assert nx.radius(G) == 2

        G = nx.house_x_graph()
        assert sorted(G) == list(range(5))
        assert G.number_of_edges() == 8
        assert sorted(d for n, d in G.degree()) == [2, 3, 3, 4, 4]
        assert nx.diameter(G) == 2
        assert nx.radius(G) == 1

        G = nx.icosahedral_graph()
        assert sorted(G) == list(range(12))
        assert G.number_of_edges() == 30
        assert [d for n, d in G.degree()] == [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]
        assert nx.diameter(G) == 3
        assert nx.radius(G) == 3

        G = nx.krackhardt_kite_graph()
        assert sorted(G) == list(range(10))
        assert G.number_of_edges() == 18
        assert sorted(d for n, d in G.degree()) == [1, 2, 3, 3, 3, 4, 4, 5, 5, 6]

        G = nx.moebius_kantor_graph()
        assert sorted(G) == list(range(16))
        assert G.number_of_edges() == 24
        assert [d for n, d in G.degree()] == 16 * [3]
        assert nx.diameter(G) == 4

        G = nx.octahedral_graph()
        assert sorted(G) == list(range(6))
        assert G.number_of_edges() == 12
        assert [d for n, d in G.degree()] == 6 * [4]
        assert nx.diameter(G) == 2
        assert nx.radius(G) == 2

        G = nx.pappus_graph()
        assert sorted(G) == list(range(18))
        assert G.number_of_edges() == 27
        assert [d for n, d in G.degree()] == 18 * [3]
        assert nx.diameter(G) == 4

        G = nx.petersen_graph()
        assert sorted(G) == list(range(10))
        assert G.number_of_edges() == 15
        assert [d for n, d in G.degree()] == 10 * [3]
        assert nx.diameter(G) == 2
        assert nx.radius(G) == 2

        G = nx.sedgewick_maze_graph()
        assert sorted(G) == list(range(8))
        assert G.number_of_edges() == 10
        assert sorted(d for n, d in G.degree()) == [1, 2, 2, 2, 3, 3, 3, 4]

        G = nx.tetrahedral_graph()
        assert sorted(G) == list(range(4))
        assert G.number_of_edges() == 6
        assert [d for n, d in G.degree()] == [3, 3, 3, 3]
        assert nx.diameter(G) == 1
        assert nx.radius(G) == 1

        G = nx.truncated_cube_graph()
        assert sorted(G) == list(range(24))
        assert G.number_of_edges() == 36
        assert [d for n, d in G.degree()] == 24 * [3]

        G = nx.truncated_tetrahedron_graph()
        assert sorted(G) == list(range(12))
        assert G.number_of_edges() == 18
        assert [d for n, d in G.degree()] == 12 * [3]

        G = nx.tutte_graph()
        assert sorted(G) == list(range(46))
        assert G.number_of_edges() == 69
        assert [d for n, d in G.degree()] == 46 * [3]

        # Test create_using with directed or multigraphs on small graphs
        pytest.raises(nx.NetworkXError, nx.tutte_graph, create_using=nx.DiGraph)
        MG = nx.tutte_graph(create_using=nx.MultiGraph)
        assert sorted(MG.edges()) == sorted(G.edges())


@pytest.mark.parametrize(
    "fn",
    (
        nx.bull_graph,
        nx.chvatal_graph,
        nx.cubical_graph,
        nx.diamond_graph,
        nx.house_graph,
        nx.house_x_graph,
        nx.icosahedral_graph,
        nx.krackhardt_kite_graph,
        nx.octahedral_graph,
        nx.petersen_graph,
        nx.truncated_cube_graph,
        nx.tutte_graph,
    ),
)
@pytest.mark.parametrize(
    "create_using", (nx.DiGraph, nx.MultiDiGraph, nx.DiGraph([(0, 1)]))
)
def tests_raises_with_directed_create_using(fn, create_using):
    with pytest.raises(nx.NetworkXError, match="Directed Graph not supported"):
        fn(create_using=create_using)