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

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
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1 """Maximum weight clique test suite.
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2
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3 """
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4
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5 import networkx as nx
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6 import pytest
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7
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8
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9 class TestMaximumWeightClique:
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10 def test_basic_cases(self):
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11 def check_basic_case(graph_func, expected_weight, weight_accessor):
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12 graph = graph_func()
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13 clique, weight = nx.algorithms.max_weight_clique(graph, weight_accessor)
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14 assert verify_clique(
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15 graph, clique, weight, expected_weight, weight_accessor
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16 )
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17
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18 for graph_func, (expected_weight, expected_size) in TEST_CASES.items():
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19 check_basic_case(graph_func, expected_weight, "weight")
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20 check_basic_case(graph_func, expected_size, None)
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21
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22 def test_key_error(self):
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23 graph = two_node_graph()
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24 with pytest.raises(KeyError):
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25 nx.algorithms.max_weight_clique(graph, "non-existent-key")
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26
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27 def test_error_on_non_integer_weight(self):
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28 graph = two_node_graph()
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29 graph.nodes[2]["weight"] = 1.5
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30 with pytest.raises(ValueError):
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31 nx.algorithms.max_weight_clique(graph)
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32
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33 def test_unaffected_by_self_loops(self):
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34 graph = two_node_graph()
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35 graph.add_edge(1, 1)
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36 graph.add_edge(2, 2)
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37 clique, weight = nx.algorithms.max_weight_clique(graph, "weight")
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38 assert verify_clique(graph, clique, weight, 30, "weight")
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39 graph = three_node_independent_set()
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40 graph.add_edge(1, 1)
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41 clique, weight = nx.algorithms.max_weight_clique(graph, "weight")
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42 assert verify_clique(graph, clique, weight, 20, "weight")
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43
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44 def test_30_node_prob(self):
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45 G = nx.Graph()
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46 G.add_nodes_from(range(1, 31))
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47 for i in range(1, 31):
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48 G.nodes[i]["weight"] = i + 1
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49 # fmt: off
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50 G.add_edges_from(
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51 [
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84 ]
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85 )
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86 # fmt: on
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87 clique, weight = nx.algorithms.max_weight_clique(G)
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88 assert verify_clique(G, clique, weight, 111, "weight")
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89
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90
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91 # ############################ Utility functions ############################
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92 def verify_clique(
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93 graph, clique, reported_clique_weight, expected_clique_weight, weight_accessor
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94 ):
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95 for node1 in clique:
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96 for node2 in clique:
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97 if node1 == node2:
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98 continue
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99 if not graph.has_edge(node1, node2):
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100 return False
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101
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102 if weight_accessor is None:
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103 clique_weight = len(clique)
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104 else:
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105 clique_weight = sum(graph.nodes[v]["weight"] for v in clique)
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106
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107 if clique_weight != expected_clique_weight:
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108 return False
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109 if clique_weight != reported_clique_weight:
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110 return False
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111
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112 return True
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113
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114
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115 # ############################ Graph Generation ############################
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116
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117
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118 def empty_graph():
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119 return nx.Graph()
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120
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121
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122 def one_node_graph():
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123 graph = nx.Graph()
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124 graph.add_nodes_from([1])
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125 graph.nodes[1]["weight"] = 10
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126 return graph
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127
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128
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129 def two_node_graph():
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130 graph = nx.Graph()
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131 graph.add_nodes_from([1, 2])
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132 graph.add_edges_from([(1, 2)])
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133 graph.nodes[1]["weight"] = 10
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134 graph.nodes[2]["weight"] = 20
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135 return graph
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136
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137
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138 def three_node_clique():
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139 graph = nx.Graph()
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140 graph.add_nodes_from([1, 2, 3])
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141 graph.add_edges_from([(1, 2), (1, 3), (2, 3)])
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142 graph.nodes[1]["weight"] = 10
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143 graph.nodes[2]["weight"] = 20
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144 graph.nodes[3]["weight"] = 5
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145 return graph
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146
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147
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148 def three_node_independent_set():
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149 graph = nx.Graph()
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150 graph.add_nodes_from([1, 2, 3])
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151 graph.nodes[1]["weight"] = 10
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152 graph.nodes[2]["weight"] = 20
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153 graph.nodes[3]["weight"] = 5
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154 return graph
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155
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156
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157 def disconnected():
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158 graph = nx.Graph()
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159 graph.add_edges_from([(1, 2), (2, 3), (4, 5), (5, 6)])
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160 graph.nodes[1]["weight"] = 10
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161 graph.nodes[2]["weight"] = 20
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162 graph.nodes[3]["weight"] = 5
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163 graph.nodes[4]["weight"] = 100
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164 graph.nodes[5]["weight"] = 200
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165 graph.nodes[6]["weight"] = 50
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166 return graph
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167
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168
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169 # --------------------------------------------------------------------------
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170 # Basic tests for all strategies
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171 # For each basic graph function, specify expected weight of max weight clique
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172 # and expected size of maximum clique
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173 TEST_CASES = {
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174 empty_graph: (0, 0),
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175 one_node_graph: (10, 1),
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176 two_node_graph: (30, 2),
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177 three_node_clique: (35, 3),
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178 three_node_independent_set: (20, 1),
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179 disconnected: (300, 2),
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180 }