annotate env/lib/python3.9/site-packages/networkx/generators/tests/test_small.py @ 0:4f3585e2f14b draft default tip

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author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
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1 import pytest
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2 import networkx as nx
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3 from networkx.algorithms.isomorphism.isomorph import graph_could_be_isomorphic
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4
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5 is_isomorphic = graph_could_be_isomorphic
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6
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7 """Generators - Small
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8 =====================
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9
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10 Some small graphs
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11 """
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12
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13 null = nx.null_graph()
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14
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15
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16 class TestGeneratorsSmall:
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17 def test_make_small_graph(self):
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18 d = ["adjacencylist", "Bull Graph", 5, [[2, 3], [1, 3, 4], [1, 2, 5], [2], [3]]]
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19 G = nx.make_small_graph(d)
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20 assert is_isomorphic(G, nx.bull_graph())
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21
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22 # Test small graph creation error with wrong ltype
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23 d[0] = "erroneouslist"
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24 pytest.raises(nx.NetworkXError, nx.make_small_graph, graph_description=d)
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25
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26 def test__LCF_graph(self):
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27 # If n<=0, then return the null_graph
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28 G = nx.LCF_graph(-10, [1, 2], 100)
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29 assert is_isomorphic(G, null)
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30 G = nx.LCF_graph(0, [1, 2], 3)
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31 assert is_isomorphic(G, null)
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32 G = nx.LCF_graph(0, [1, 2], 10)
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33 assert is_isomorphic(G, null)
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34
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35 # Test that LCF(n,[],0) == cycle_graph(n)
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36 for a, b, c in [(5, [], 0), (10, [], 0), (5, [], 1), (10, [], 10)]:
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37 G = nx.LCF_graph(a, b, c)
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38 assert is_isomorphic(G, nx.cycle_graph(a))
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39
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40 # Generate the utility graph K_{3,3}
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41 G = nx.LCF_graph(6, [3, -3], 3)
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42 utility_graph = nx.complete_bipartite_graph(3, 3)
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43 assert is_isomorphic(G, utility_graph)
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44
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45 def test_properties_named_small_graphs(self):
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46 G = nx.bull_graph()
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47 assert G.number_of_nodes() == 5
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48 assert G.number_of_edges() == 5
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49 assert sorted(d for n, d in G.degree()) == [1, 1, 2, 3, 3]
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50 assert nx.diameter(G) == 3
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51 assert nx.radius(G) == 2
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52
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53 G = nx.chvatal_graph()
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54 assert G.number_of_nodes() == 12
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55 assert G.number_of_edges() == 24
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56 assert list(d for n, d in G.degree()) == 12 * [4]
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57 assert nx.diameter(G) == 2
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58 assert nx.radius(G) == 2
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59
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60 G = nx.cubical_graph()
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61 assert G.number_of_nodes() == 8
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62 assert G.number_of_edges() == 12
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63 assert list(d for n, d in G.degree()) == 8 * [3]
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64 assert nx.diameter(G) == 3
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65 assert nx.radius(G) == 3
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66
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67 G = nx.desargues_graph()
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68 assert G.number_of_nodes() == 20
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69 assert G.number_of_edges() == 30
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70 assert list(d for n, d in G.degree()) == 20 * [3]
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71
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72 G = nx.diamond_graph()
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73 assert G.number_of_nodes() == 4
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74 assert sorted(d for n, d in G.degree()) == [2, 2, 3, 3]
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75 assert nx.diameter(G) == 2
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76 assert nx.radius(G) == 1
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77
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78 G = nx.dodecahedral_graph()
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79 assert G.number_of_nodes() == 20
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80 assert G.number_of_edges() == 30
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81 assert list(d for n, d in G.degree()) == 20 * [3]
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82 assert nx.diameter(G) == 5
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83 assert nx.radius(G) == 5
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84
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85 G = nx.frucht_graph()
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86 assert G.number_of_nodes() == 12
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87 assert G.number_of_edges() == 18
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88 assert list(d for n, d in G.degree()) == 12 * [3]
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89 assert nx.diameter(G) == 4
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90 assert nx.radius(G) == 3
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91
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92 G = nx.heawood_graph()
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93 assert G.number_of_nodes() == 14
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94 assert G.number_of_edges() == 21
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95 assert list(d for n, d in G.degree()) == 14 * [3]
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96 assert nx.diameter(G) == 3
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97 assert nx.radius(G) == 3
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98
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99 G = nx.hoffman_singleton_graph()
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100 assert G.number_of_nodes() == 50
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101 assert G.number_of_edges() == 175
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102 assert list(d for n, d in G.degree()) == 50 * [7]
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103 assert nx.diameter(G) == 2
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104 assert nx.radius(G) == 2
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105
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106 G = nx.house_graph()
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107 assert G.number_of_nodes() == 5
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108 assert G.number_of_edges() == 6
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109 assert sorted(d for n, d in G.degree()) == [2, 2, 2, 3, 3]
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110 assert nx.diameter(G) == 2
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111 assert nx.radius(G) == 2
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112
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113 G = nx.house_x_graph()
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114 assert G.number_of_nodes() == 5
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115 assert G.number_of_edges() == 8
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116 assert sorted(d for n, d in G.degree()) == [2, 3, 3, 4, 4]
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117 assert nx.diameter(G) == 2
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118 assert nx.radius(G) == 1
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119
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120 G = nx.icosahedral_graph()
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121 assert G.number_of_nodes() == 12
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122 assert G.number_of_edges() == 30
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123 assert list(d for n, d in G.degree()) == [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]
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124 assert nx.diameter(G) == 3
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125 assert nx.radius(G) == 3
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126
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127 G = nx.krackhardt_kite_graph()
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128 assert G.number_of_nodes() == 10
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129 assert G.number_of_edges() == 18
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130 assert sorted(d for n, d in G.degree()) == [1, 2, 3, 3, 3, 4, 4, 5, 5, 6]
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131
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132 G = nx.moebius_kantor_graph()
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133 assert G.number_of_nodes() == 16
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134 assert G.number_of_edges() == 24
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135 assert list(d for n, d in G.degree()) == 16 * [3]
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136 assert nx.diameter(G) == 4
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137
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138 G = nx.octahedral_graph()
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139 assert G.number_of_nodes() == 6
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140 assert G.number_of_edges() == 12
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141 assert list(d for n, d in G.degree()) == 6 * [4]
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142 assert nx.diameter(G) == 2
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143 assert nx.radius(G) == 2
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144
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145 G = nx.pappus_graph()
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146 assert G.number_of_nodes() == 18
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147 assert G.number_of_edges() == 27
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148 assert list(d for n, d in G.degree()) == 18 * [3]
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149 assert nx.diameter(G) == 4
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150
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151 G = nx.petersen_graph()
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152 assert G.number_of_nodes() == 10
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153 assert G.number_of_edges() == 15
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154 assert list(d for n, d in G.degree()) == 10 * [3]
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155 assert nx.diameter(G) == 2
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156 assert nx.radius(G) == 2
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157
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158 G = nx.sedgewick_maze_graph()
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159 assert G.number_of_nodes() == 8
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160 assert G.number_of_edges() == 10
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161 assert sorted(d for n, d in G.degree()) == [1, 2, 2, 2, 3, 3, 3, 4]
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162
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163 G = nx.tetrahedral_graph()
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164 assert G.number_of_nodes() == 4
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165 assert G.number_of_edges() == 6
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166 assert list(d for n, d in G.degree()) == [3, 3, 3, 3]
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167 assert nx.diameter(G) == 1
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168 assert nx.radius(G) == 1
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169
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170 G = nx.truncated_cube_graph()
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171 assert G.number_of_nodes() == 24
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172 assert G.number_of_edges() == 36
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173 assert list(d for n, d in G.degree()) == 24 * [3]
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174
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175 G = nx.truncated_tetrahedron_graph()
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176 assert G.number_of_nodes() == 12
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177 assert G.number_of_edges() == 18
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178 assert list(d for n, d in G.degree()) == 12 * [3]
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179
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180 G = nx.tutte_graph()
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181 assert G.number_of_nodes() == 46
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182 assert G.number_of_edges() == 69
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183 assert list(d for n, d in G.degree()) == 46 * [3]
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184
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185 # Test create_using with directed or multigraphs on small graphs
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186 pytest.raises(nx.NetworkXError, nx.tutte_graph, create_using=nx.DiGraph)
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187 MG = nx.tutte_graph(create_using=nx.MultiGraph)
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188 assert sorted(MG.edges()) == sorted(G.edges())