Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/isomorphism/tests/test_isomorphvf2.py @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 """ |
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2 Tests for VF2 isomorphism algorithm. |
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3 """ |
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4 |
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5 import os |
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6 import struct |
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7 import random |
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8 |
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9 import networkx as nx |
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10 from networkx.algorithms import isomorphism as iso |
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11 |
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12 |
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13 class TestWikipediaExample: |
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14 # Source: https://en.wikipedia.org/wiki/Graph_isomorphism |
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15 |
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16 # Nodes 'a', 'b', 'c' and 'd' form a column. |
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17 # Nodes 'g', 'h', 'i' and 'j' form a column. |
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18 g1edges = [ |
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19 ["a", "g"], |
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20 ["a", "h"], |
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21 ["a", "i"], |
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22 ["b", "g"], |
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23 ["b", "h"], |
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24 ["b", "j"], |
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25 ["c", "g"], |
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26 ["c", "i"], |
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27 ["c", "j"], |
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28 ["d", "h"], |
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29 ["d", "i"], |
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30 ["d", "j"], |
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31 ] |
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32 |
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33 # Nodes 1,2,3,4 form the clockwise corners of a large square. |
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34 # Nodes 5,6,7,8 form the clockwise corners of a small square |
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35 g2edges = [ |
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36 [1, 2], |
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37 [2, 3], |
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38 [3, 4], |
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39 [4, 1], |
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40 [5, 6], |
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41 [6, 7], |
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42 [7, 8], |
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43 [8, 5], |
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44 [1, 5], |
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45 [2, 6], |
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46 [3, 7], |
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47 [4, 8], |
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48 ] |
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49 |
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50 def test_graph(self): |
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51 g1 = nx.Graph() |
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52 g2 = nx.Graph() |
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53 g1.add_edges_from(self.g1edges) |
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54 g2.add_edges_from(self.g2edges) |
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55 gm = iso.GraphMatcher(g1, g2) |
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56 assert gm.is_isomorphic() |
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57 # Just testing some cases |
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58 assert gm.subgraph_is_monomorphic() |
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59 |
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60 mapping = sorted(gm.mapping.items()) |
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61 |
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62 # this mapping is only one of the possibilies |
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63 # so this test needs to be reconsidered |
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64 # isomap = [('a', 1), ('b', 6), ('c', 3), ('d', 8), |
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65 # ('g', 2), ('h', 5), ('i', 4), ('j', 7)] |
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66 # assert_equal(mapping, isomap) |
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67 |
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68 def test_subgraph(self): |
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69 g1 = nx.Graph() |
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70 g2 = nx.Graph() |
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71 g1.add_edges_from(self.g1edges) |
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72 g2.add_edges_from(self.g2edges) |
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73 g3 = g2.subgraph([1, 2, 3, 4]) |
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74 gm = iso.GraphMatcher(g1, g3) |
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75 assert gm.subgraph_is_isomorphic() |
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76 |
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77 def test_subgraph_mono(self): |
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78 g1 = nx.Graph() |
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79 g2 = nx.Graph() |
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80 g1.add_edges_from(self.g1edges) |
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81 g2.add_edges_from([[1, 2], [2, 3], [3, 4]]) |
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82 gm = iso.GraphMatcher(g1, g2) |
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83 assert gm.subgraph_is_monomorphic() |
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84 |
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85 |
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86 class TestVF2GraphDB: |
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87 # http://amalfi.dis.unina.it/graph/db/ |
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88 |
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89 @staticmethod |
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90 def create_graph(filename): |
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91 """Creates a Graph instance from the filename.""" |
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92 |
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93 # The file is assumed to be in the format from the VF2 graph database. |
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94 # Each file is composed of 16-bit numbers (unsigned short int). |
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95 # So we will want to read 2 bytes at a time. |
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96 |
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97 # We can read the number as follows: |
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98 # number = struct.unpack('<H', file.read(2)) |
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99 # This says, expect the data in little-endian encoding |
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100 # as an unsigned short int and unpack 2 bytes from the file. |
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101 |
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102 fh = open(filename, mode="rb") |
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103 |
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104 # Grab the number of nodes. |
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105 # Node numeration is 0-based, so the first node has index 0. |
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106 nodes = struct.unpack("<H", fh.read(2))[0] |
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107 |
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108 graph = nx.Graph() |
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109 for from_node in range(nodes): |
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110 # Get the number of edges. |
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111 edges = struct.unpack("<H", fh.read(2))[0] |
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112 for edge in range(edges): |
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113 # Get the terminal node. |
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114 to_node = struct.unpack("<H", fh.read(2))[0] |
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115 graph.add_edge(from_node, to_node) |
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116 |
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117 fh.close() |
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118 return graph |
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119 |
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120 def test_graph(self): |
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121 head, tail = os.path.split(__file__) |
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122 g1 = self.create_graph(os.path.join(head, "iso_r01_s80.A99")) |
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123 g2 = self.create_graph(os.path.join(head, "iso_r01_s80.B99")) |
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124 gm = iso.GraphMatcher(g1, g2) |
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125 assert gm.is_isomorphic() |
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126 |
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127 def test_subgraph(self): |
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128 # A is the subgraph |
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129 # B is the full graph |
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130 head, tail = os.path.split(__file__) |
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131 subgraph = self.create_graph(os.path.join(head, "si2_b06_m200.A99")) |
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132 graph = self.create_graph(os.path.join(head, "si2_b06_m200.B99")) |
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133 gm = iso.GraphMatcher(graph, subgraph) |
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134 assert gm.subgraph_is_isomorphic() |
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135 # Just testing some cases |
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136 assert gm.subgraph_is_monomorphic() |
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137 |
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138 # There isn't a similar test implemented for subgraph monomorphism, |
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139 # feel free to create one. |
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140 |
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141 |
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142 class TestAtlas: |
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143 @classmethod |
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144 def setup_class(cls): |
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145 global atlas |
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146 # import platform |
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147 # import pytest |
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148 # if platform.python_implementation() == 'Jython': |
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149 # pytest.mark.skip('graph atlas not available under Jython.') |
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150 import networkx.generators.atlas as atlas |
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151 |
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152 cls.GAG = atlas.graph_atlas_g() |
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153 |
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154 def test_graph_atlas(self): |
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155 # Atlas = nx.graph_atlas_g()[0:208] # 208, 6 nodes or less |
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156 Atlas = self.GAG[0:100] |
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157 alphabet = list(range(26)) |
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158 for graph in Atlas: |
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159 nlist = list(graph) |
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160 labels = alphabet[: len(nlist)] |
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161 for s in range(10): |
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162 random.shuffle(labels) |
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163 d = dict(zip(nlist, labels)) |
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164 relabel = nx.relabel_nodes(graph, d) |
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165 gm = iso.GraphMatcher(graph, relabel) |
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166 assert gm.is_isomorphic() |
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167 |
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168 |
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169 def test_multiedge(): |
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170 # Simple test for multigraphs |
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171 # Need something much more rigorous |
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172 edges = [ |
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173 (0, 1), |
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174 (1, 2), |
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175 (2, 3), |
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176 (3, 4), |
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177 (4, 5), |
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178 (5, 6), |
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179 (6, 7), |
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180 (7, 8), |
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181 (8, 9), |
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182 (9, 10), |
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183 (10, 11), |
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184 (10, 11), |
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185 (11, 12), |
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186 (11, 12), |
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187 (12, 13), |
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188 (12, 13), |
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189 (13, 14), |
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190 (13, 14), |
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191 (14, 15), |
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192 (14, 15), |
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193 (15, 16), |
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194 (15, 16), |
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195 (16, 17), |
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196 (16, 17), |
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197 (17, 18), |
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198 (17, 18), |
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199 (18, 19), |
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200 (18, 19), |
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201 (19, 0), |
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202 (19, 0), |
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203 ] |
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204 nodes = list(range(20)) |
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205 |
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206 for g1 in [nx.MultiGraph(), nx.MultiDiGraph()]: |
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207 g1.add_edges_from(edges) |
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208 for _ in range(10): |
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209 new_nodes = list(nodes) |
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210 random.shuffle(new_nodes) |
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211 d = dict(zip(nodes, new_nodes)) |
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212 g2 = nx.relabel_nodes(g1, d) |
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213 if not g1.is_directed(): |
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214 gm = iso.GraphMatcher(g1, g2) |
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215 else: |
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216 gm = iso.DiGraphMatcher(g1, g2) |
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217 assert gm.is_isomorphic() |
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218 # Testing if monomorphism works in multigraphs |
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219 assert gm.subgraph_is_monomorphic() |
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220 |
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221 |
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222 def test_selfloop(): |
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223 # Simple test for graphs with selfloops |
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224 edges = [ |
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225 (0, 1), |
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226 (0, 2), |
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227 (1, 2), |
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228 (1, 3), |
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229 (2, 2), |
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230 (2, 4), |
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231 (3, 1), |
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232 (3, 2), |
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233 (4, 2), |
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234 (4, 5), |
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235 (5, 4), |
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236 ] |
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237 nodes = list(range(6)) |
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238 |
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239 for g1 in [nx.Graph(), nx.DiGraph()]: |
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240 g1.add_edges_from(edges) |
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241 for _ in range(100): |
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242 new_nodes = list(nodes) |
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243 random.shuffle(new_nodes) |
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244 d = dict(zip(nodes, new_nodes)) |
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245 g2 = nx.relabel_nodes(g1, d) |
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246 if not g1.is_directed(): |
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247 gm = iso.GraphMatcher(g1, g2) |
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248 else: |
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249 gm = iso.DiGraphMatcher(g1, g2) |
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250 assert gm.is_isomorphic() |
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251 |
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252 |
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253 def test_selfloop_mono(): |
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254 # Simple test for graphs with selfloops |
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255 edges0 = [ |
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256 (0, 1), |
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257 (0, 2), |
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258 (1, 2), |
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259 (1, 3), |
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260 (2, 4), |
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261 (3, 1), |
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262 (3, 2), |
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263 (4, 2), |
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264 (4, 5), |
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265 (5, 4), |
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266 ] |
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267 edges = edges0 + [(2, 2)] |
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268 nodes = list(range(6)) |
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269 |
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270 for g1 in [nx.Graph(), nx.DiGraph()]: |
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271 g1.add_edges_from(edges) |
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272 for _ in range(100): |
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273 new_nodes = list(nodes) |
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274 random.shuffle(new_nodes) |
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275 d = dict(zip(nodes, new_nodes)) |
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276 g2 = nx.relabel_nodes(g1, d) |
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277 g2.remove_edges_from(nx.selfloop_edges(g2)) |
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278 if not g1.is_directed(): |
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279 gm = iso.GraphMatcher(g2, g1) |
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280 else: |
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281 gm = iso.DiGraphMatcher(g2, g1) |
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282 assert not gm.subgraph_is_monomorphic() |
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283 |
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284 |
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285 def test_isomorphism_iter1(): |
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286 # As described in: |
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287 # http://groups.google.com/group/networkx-discuss/browse_thread/thread/2ff65c67f5e3b99f/d674544ebea359bb?fwc=1 |
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288 g1 = nx.DiGraph() |
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289 g2 = nx.DiGraph() |
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290 g3 = nx.DiGraph() |
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291 g1.add_edge("A", "B") |
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292 g1.add_edge("B", "C") |
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293 g2.add_edge("Y", "Z") |
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294 g3.add_edge("Z", "Y") |
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295 gm12 = iso.DiGraphMatcher(g1, g2) |
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296 gm13 = iso.DiGraphMatcher(g1, g3) |
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297 x = list(gm12.subgraph_isomorphisms_iter()) |
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298 y = list(gm13.subgraph_isomorphisms_iter()) |
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299 assert {"A": "Y", "B": "Z"} in x |
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300 assert {"B": "Y", "C": "Z"} in x |
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301 assert {"A": "Z", "B": "Y"} in y |
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302 assert {"B": "Z", "C": "Y"} in y |
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303 assert len(x) == len(y) |
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304 assert len(x) == 2 |
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305 |
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306 |
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307 def test_monomorphism_iter1(): |
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308 g1 = nx.DiGraph() |
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309 g2 = nx.DiGraph() |
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310 g1.add_edge("A", "B") |
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311 g1.add_edge("B", "C") |
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312 g1.add_edge("C", "A") |
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313 g2.add_edge("X", "Y") |
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314 g2.add_edge("Y", "Z") |
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315 gm12 = iso.DiGraphMatcher(g1, g2) |
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316 x = list(gm12.subgraph_monomorphisms_iter()) |
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317 assert {"A": "X", "B": "Y", "C": "Z"} in x |
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318 assert {"A": "Y", "B": "Z", "C": "X"} in x |
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319 assert {"A": "Z", "B": "X", "C": "Y"} in x |
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320 assert len(x) == 3 |
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321 gm21 = iso.DiGraphMatcher(g2, g1) |
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322 # Check if StopIteration exception returns False |
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323 assert not gm21.subgraph_is_monomorphic() |
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324 |
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325 |
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326 def test_isomorphism_iter2(): |
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327 # Path |
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328 for L in range(2, 10): |
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329 g1 = nx.path_graph(L) |
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330 gm = iso.GraphMatcher(g1, g1) |
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331 s = len(list(gm.isomorphisms_iter())) |
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332 assert s == 2 |
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333 # Cycle |
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334 for L in range(3, 10): |
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335 g1 = nx.cycle_graph(L) |
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336 gm = iso.GraphMatcher(g1, g1) |
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337 s = len(list(gm.isomorphisms_iter())) |
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338 assert s == 2 * L |
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339 |
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340 |
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341 def test_multiple(): |
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342 # Verify that we can use the graph matcher multiple times |
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343 edges = [("A", "B"), ("B", "A"), ("B", "C")] |
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344 for g1, g2 in [(nx.Graph(), nx.Graph()), (nx.DiGraph(), nx.DiGraph())]: |
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345 g1.add_edges_from(edges) |
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346 g2.add_edges_from(edges) |
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347 g3 = nx.subgraph(g2, ["A", "B"]) |
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348 if not g1.is_directed(): |
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349 gmA = iso.GraphMatcher(g1, g2) |
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350 gmB = iso.GraphMatcher(g1, g3) |
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351 else: |
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352 gmA = iso.DiGraphMatcher(g1, g2) |
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353 gmB = iso.DiGraphMatcher(g1, g3) |
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354 assert gmA.is_isomorphic() |
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355 g2.remove_node("C") |
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356 if not g1.is_directed(): |
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357 gmA = iso.GraphMatcher(g1, g2) |
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358 else: |
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359 gmA = iso.DiGraphMatcher(g1, g2) |
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360 assert gmA.subgraph_is_isomorphic() |
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361 assert gmB.subgraph_is_isomorphic() |
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362 assert gmA.subgraph_is_monomorphic() |
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363 assert gmB.subgraph_is_monomorphic() |
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364 |
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365 |
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366 # for m in [gmB.mapping, gmB.mapping]: |
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367 # assert_true(m['A'] == 'A') |
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368 # assert_true(m['B'] == 'B') |
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369 # assert_true('C' not in m) |
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370 |
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371 |
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372 def test_noncomparable_nodes(): |
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373 node1 = object() |
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374 node2 = object() |
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375 node3 = object() |
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376 |
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377 # Graph |
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378 G = nx.path_graph([node1, node2, node3]) |
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379 gm = iso.GraphMatcher(G, G) |
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380 assert gm.is_isomorphic() |
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381 # Just testing some cases |
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382 assert gm.subgraph_is_monomorphic() |
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383 |
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384 # DiGraph |
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385 G = nx.path_graph([node1, node2, node3], create_using=nx.DiGraph) |
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386 H = nx.path_graph([node3, node2, node1], create_using=nx.DiGraph) |
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387 dgm = iso.DiGraphMatcher(G, H) |
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388 assert dgm.is_isomorphic() |
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389 # Just testing some cases |
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390 assert gm.subgraph_is_monomorphic() |
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391 |
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392 |
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393 def test_monomorphism_edge_match(): |
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394 G = nx.DiGraph() |
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395 G.add_node(1) |
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396 G.add_node(2) |
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397 G.add_edge(1, 2, label="A") |
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398 G.add_edge(2, 1, label="B") |
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399 G.add_edge(2, 2, label="C") |
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400 |
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401 SG = nx.DiGraph() |
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402 SG.add_node(5) |
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403 SG.add_node(6) |
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404 SG.add_edge(5, 6, label="A") |
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405 |
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406 gm = iso.DiGraphMatcher(G, SG, edge_match=iso.categorical_edge_match("label", None)) |
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407 assert gm.subgraph_is_monomorphic() |