Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/tests/test_convert.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 import pytest |
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2 |
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3 import networkx as nx |
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4 from networkx.testing import assert_nodes_equal, assert_edges_equal, assert_graphs_equal |
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5 from networkx.convert import ( |
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6 to_networkx_graph, |
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7 to_dict_of_dicts, |
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8 from_dict_of_dicts, |
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9 to_dict_of_lists, |
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10 from_dict_of_lists, |
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11 ) |
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12 from networkx.generators.classic import barbell_graph, cycle_graph |
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13 |
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14 |
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15 class TestConvert: |
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16 def edgelists_equal(self, e1, e2): |
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17 return sorted(sorted(e) for e in e1) == sorted(sorted(e) for e in e2) |
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18 |
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19 def test_simple_graphs(self): |
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20 for dest, source in [ |
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21 (to_dict_of_dicts, from_dict_of_dicts), |
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22 (to_dict_of_lists, from_dict_of_lists), |
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23 ]: |
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24 G = barbell_graph(10, 3) |
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25 G.graph = {} |
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26 dod = dest(G) |
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27 |
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28 # Dict of [dicts, lists] |
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29 GG = source(dod) |
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30 assert_graphs_equal(G, GG) |
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31 GW = to_networkx_graph(dod) |
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32 assert_graphs_equal(G, GW) |
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33 GI = nx.Graph(dod) |
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34 assert_graphs_equal(G, GI) |
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35 |
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36 # With nodelist keyword |
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37 P4 = nx.path_graph(4) |
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38 P3 = nx.path_graph(3) |
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39 P4.graph = {} |
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40 P3.graph = {} |
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41 dod = dest(P4, nodelist=[0, 1, 2]) |
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42 Gdod = nx.Graph(dod) |
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43 assert_graphs_equal(Gdod, P3) |
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44 |
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45 def test_exceptions(self): |
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46 # NX graph |
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47 class G: |
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48 adj = None |
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49 |
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50 pytest.raises(nx.NetworkXError, to_networkx_graph, G) |
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51 |
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52 # pygraphviz agraph |
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53 class G: |
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54 is_strict = None |
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55 |
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56 pytest.raises(nx.NetworkXError, to_networkx_graph, G) |
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57 |
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58 # Dict of [dicts, lists] |
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59 G = {"a": 0} |
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60 pytest.raises(TypeError, to_networkx_graph, G) |
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61 |
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62 # list or generator of edges |
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63 class G: |
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64 next = None |
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65 |
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66 pytest.raises(nx.NetworkXError, to_networkx_graph, G) |
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67 |
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68 # no match |
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69 pytest.raises(nx.NetworkXError, to_networkx_graph, "a") |
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70 |
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71 def test_digraphs(self): |
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72 for dest, source in [ |
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73 (to_dict_of_dicts, from_dict_of_dicts), |
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74 (to_dict_of_lists, from_dict_of_lists), |
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75 ]: |
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76 G = cycle_graph(10) |
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77 |
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78 # Dict of [dicts, lists] |
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79 dod = dest(G) |
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80 GG = source(dod) |
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81 assert_nodes_equal(sorted(G.nodes()), sorted(GG.nodes())) |
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82 assert_edges_equal(sorted(G.edges()), sorted(GG.edges())) |
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83 GW = to_networkx_graph(dod) |
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84 assert_nodes_equal(sorted(G.nodes()), sorted(GW.nodes())) |
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85 assert_edges_equal(sorted(G.edges()), sorted(GW.edges())) |
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86 GI = nx.Graph(dod) |
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87 assert_nodes_equal(sorted(G.nodes()), sorted(GI.nodes())) |
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88 assert_edges_equal(sorted(G.edges()), sorted(GI.edges())) |
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89 |
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90 G = cycle_graph(10, create_using=nx.DiGraph) |
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91 dod = dest(G) |
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92 GG = source(dod, create_using=nx.DiGraph) |
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93 assert sorted(G.nodes()) == sorted(GG.nodes()) |
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94 assert sorted(G.edges()) == sorted(GG.edges()) |
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95 GW = to_networkx_graph(dod, create_using=nx.DiGraph) |
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96 assert sorted(G.nodes()) == sorted(GW.nodes()) |
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97 assert sorted(G.edges()) == sorted(GW.edges()) |
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98 GI = nx.DiGraph(dod) |
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99 assert sorted(G.nodes()) == sorted(GI.nodes()) |
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100 assert sorted(G.edges()) == sorted(GI.edges()) |
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101 |
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102 def test_graph(self): |
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103 g = nx.cycle_graph(10) |
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104 G = nx.Graph() |
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105 G.add_nodes_from(g) |
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106 G.add_weighted_edges_from((u, v, u) for u, v in g.edges()) |
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107 |
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108 # Dict of dicts |
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109 dod = to_dict_of_dicts(G) |
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110 GG = from_dict_of_dicts(dod, create_using=nx.Graph) |
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111 assert_nodes_equal(sorted(G.nodes()), sorted(GG.nodes())) |
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112 assert_edges_equal(sorted(G.edges()), sorted(GG.edges())) |
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113 GW = to_networkx_graph(dod, create_using=nx.Graph) |
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114 assert_nodes_equal(sorted(G.nodes()), sorted(GW.nodes())) |
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115 assert_edges_equal(sorted(G.edges()), sorted(GW.edges())) |
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116 GI = nx.Graph(dod) |
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117 assert sorted(G.nodes()) == sorted(GI.nodes()) |
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118 assert sorted(G.edges()) == sorted(GI.edges()) |
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119 |
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120 # Dict of lists |
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121 dol = to_dict_of_lists(G) |
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122 GG = from_dict_of_lists(dol, create_using=nx.Graph) |
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123 # dict of lists throws away edge data so set it to none |
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124 enone = [(u, v, {}) for (u, v, d) in G.edges(data=True)] |
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125 assert_nodes_equal(sorted(G.nodes()), sorted(GG.nodes())) |
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126 assert_edges_equal(enone, sorted(GG.edges(data=True))) |
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127 GW = to_networkx_graph(dol, create_using=nx.Graph) |
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128 assert_nodes_equal(sorted(G.nodes()), sorted(GW.nodes())) |
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129 assert_edges_equal(enone, sorted(GW.edges(data=True))) |
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130 GI = nx.Graph(dol) |
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131 assert_nodes_equal(sorted(G.nodes()), sorted(GI.nodes())) |
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132 assert_edges_equal(enone, sorted(GI.edges(data=True))) |
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133 |
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134 def test_with_multiedges_self_loops(self): |
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135 G = cycle_graph(10) |
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136 XG = nx.Graph() |
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137 XG.add_nodes_from(G) |
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138 XG.add_weighted_edges_from((u, v, u) for u, v in G.edges()) |
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139 XGM = nx.MultiGraph() |
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140 XGM.add_nodes_from(G) |
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141 XGM.add_weighted_edges_from((u, v, u) for u, v in G.edges()) |
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142 XGM.add_edge(0, 1, weight=2) # multiedge |
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143 XGS = nx.Graph() |
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144 XGS.add_nodes_from(G) |
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145 XGS.add_weighted_edges_from((u, v, u) for u, v in G.edges()) |
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146 XGS.add_edge(0, 0, weight=100) # self loop |
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147 |
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148 # Dict of dicts |
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149 # with self loops, OK |
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150 dod = to_dict_of_dicts(XGS) |
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151 GG = from_dict_of_dicts(dod, create_using=nx.Graph) |
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152 assert_nodes_equal(XGS.nodes(), GG.nodes()) |
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153 assert_edges_equal(XGS.edges(), GG.edges()) |
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154 GW = to_networkx_graph(dod, create_using=nx.Graph) |
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155 assert_nodes_equal(XGS.nodes(), GW.nodes()) |
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156 assert_edges_equal(XGS.edges(), GW.edges()) |
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157 GI = nx.Graph(dod) |
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158 assert_nodes_equal(XGS.nodes(), GI.nodes()) |
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159 assert_edges_equal(XGS.edges(), GI.edges()) |
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160 |
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161 # Dict of lists |
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162 # with self loops, OK |
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163 dol = to_dict_of_lists(XGS) |
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164 GG = from_dict_of_lists(dol, create_using=nx.Graph) |
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165 # dict of lists throws away edge data so set it to none |
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166 enone = [(u, v, {}) for (u, v, d) in XGS.edges(data=True)] |
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167 assert_nodes_equal(sorted(XGS.nodes()), sorted(GG.nodes())) |
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168 assert_edges_equal(enone, sorted(GG.edges(data=True))) |
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169 GW = to_networkx_graph(dol, create_using=nx.Graph) |
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170 assert_nodes_equal(sorted(XGS.nodes()), sorted(GW.nodes())) |
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171 assert_edges_equal(enone, sorted(GW.edges(data=True))) |
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172 GI = nx.Graph(dol) |
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173 assert_nodes_equal(sorted(XGS.nodes()), sorted(GI.nodes())) |
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174 assert_edges_equal(enone, sorted(GI.edges(data=True))) |
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175 |
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176 # Dict of dicts |
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177 # with multiedges, OK |
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178 dod = to_dict_of_dicts(XGM) |
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179 GG = from_dict_of_dicts(dod, create_using=nx.MultiGraph, multigraph_input=True) |
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180 assert_nodes_equal(sorted(XGM.nodes()), sorted(GG.nodes())) |
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181 assert_edges_equal(sorted(XGM.edges()), sorted(GG.edges())) |
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182 GW = to_networkx_graph(dod, create_using=nx.MultiGraph, multigraph_input=True) |
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183 assert_nodes_equal(sorted(XGM.nodes()), sorted(GW.nodes())) |
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184 assert_edges_equal(sorted(XGM.edges()), sorted(GW.edges())) |
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185 GI = nx.MultiGraph(dod) # convert can't tell whether to duplicate edges! |
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186 assert_nodes_equal(sorted(XGM.nodes()), sorted(GI.nodes())) |
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187 # assert_not_equal(sorted(XGM.edges()), sorted(GI.edges())) |
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188 assert not sorted(XGM.edges()) == sorted(GI.edges()) |
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189 GE = from_dict_of_dicts(dod, create_using=nx.MultiGraph, multigraph_input=False) |
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190 assert_nodes_equal(sorted(XGM.nodes()), sorted(GE.nodes())) |
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191 assert sorted(XGM.edges()) != sorted(GE.edges()) |
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192 GI = nx.MultiGraph(XGM) |
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193 assert_nodes_equal(sorted(XGM.nodes()), sorted(GI.nodes())) |
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194 assert_edges_equal(sorted(XGM.edges()), sorted(GI.edges())) |
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195 GM = nx.MultiGraph(G) |
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196 assert_nodes_equal(sorted(GM.nodes()), sorted(G.nodes())) |
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197 assert_edges_equal(sorted(GM.edges()), sorted(G.edges())) |
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198 |
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199 # Dict of lists |
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200 # with multiedges, OK, but better write as DiGraph else you'll |
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201 # get double edges |
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202 dol = to_dict_of_lists(G) |
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203 GG = from_dict_of_lists(dol, create_using=nx.MultiGraph) |
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204 assert_nodes_equal(sorted(G.nodes()), sorted(GG.nodes())) |
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205 assert_edges_equal(sorted(G.edges()), sorted(GG.edges())) |
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206 GW = to_networkx_graph(dol, create_using=nx.MultiGraph) |
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207 assert_nodes_equal(sorted(G.nodes()), sorted(GW.nodes())) |
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208 assert_edges_equal(sorted(G.edges()), sorted(GW.edges())) |
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209 GI = nx.MultiGraph(dol) |
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210 assert_nodes_equal(sorted(G.nodes()), sorted(GI.nodes())) |
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211 assert_edges_equal(sorted(G.edges()), sorted(GI.edges())) |
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212 |
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213 def test_edgelists(self): |
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214 P = nx.path_graph(4) |
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215 e = [(0, 1), (1, 2), (2, 3)] |
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216 G = nx.Graph(e) |
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217 assert_nodes_equal(sorted(G.nodes()), sorted(P.nodes())) |
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218 assert_edges_equal(sorted(G.edges()), sorted(P.edges())) |
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219 assert_edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True))) |
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220 |
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221 e = [(0, 1, {}), (1, 2, {}), (2, 3, {})] |
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222 G = nx.Graph(e) |
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223 assert_nodes_equal(sorted(G.nodes()), sorted(P.nodes())) |
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224 assert_edges_equal(sorted(G.edges()), sorted(P.edges())) |
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225 assert_edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True))) |
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226 |
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227 e = ((n, n + 1) for n in range(3)) |
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228 G = nx.Graph(e) |
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229 assert_nodes_equal(sorted(G.nodes()), sorted(P.nodes())) |
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230 assert_edges_equal(sorted(G.edges()), sorted(P.edges())) |
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231 assert_edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True))) |
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232 |
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233 def test_directed_to_undirected(self): |
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234 edges1 = [(0, 1), (1, 2), (2, 0)] |
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235 edges2 = [(0, 1), (1, 2), (0, 2)] |
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236 assert self.edgelists_equal(nx.Graph(nx.DiGraph(edges1)).edges(), edges1) |
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237 assert self.edgelists_equal(nx.Graph(nx.DiGraph(edges2)).edges(), edges1) |
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238 assert self.edgelists_equal(nx.MultiGraph(nx.DiGraph(edges1)).edges(), edges1) |
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239 assert self.edgelists_equal(nx.MultiGraph(nx.DiGraph(edges2)).edges(), edges1) |
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240 |
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241 assert self.edgelists_equal( |
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242 nx.MultiGraph(nx.MultiDiGraph(edges1)).edges(), edges1 |
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243 ) |
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244 assert self.edgelists_equal( |
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245 nx.MultiGraph(nx.MultiDiGraph(edges2)).edges(), edges1 |
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246 ) |
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247 |
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248 assert self.edgelists_equal(nx.Graph(nx.MultiDiGraph(edges1)).edges(), edges1) |
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249 assert self.edgelists_equal(nx.Graph(nx.MultiDiGraph(edges2)).edges(), edges1) |
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250 |
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251 def test_attribute_dict_integrity(self): |
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252 # we must not replace dict-like graph data structures with dicts |
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253 G = nx.OrderedGraph() |
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254 G.add_nodes_from("abc") |
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255 H = to_networkx_graph(G, create_using=nx.OrderedGraph) |
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256 assert list(H.nodes) == list(G.nodes) |
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257 H = nx.OrderedDiGraph(G) |
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258 assert list(H.nodes) == list(G.nodes) |
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259 |
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260 def test_to_edgelist(self): |
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261 G = nx.Graph([(1, 1)]) |
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262 elist = nx.to_edgelist(G, nodelist=list(G)) |
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263 assert_edges_equal(G.edges(data=True), elist) |
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264 |
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265 def test_custom_node_attr_dict_safekeeping(self): |
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266 class custom_dict(dict): |
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267 pass |
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268 |
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269 class Custom(nx.Graph): |
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270 node_attr_dict_factory = custom_dict |
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271 |
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272 g = nx.Graph() |
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273 g.add_node(1, weight=1) |
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274 |
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275 h = Custom(g) |
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276 assert isinstance(g._node[1], dict) |
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277 assert isinstance(h._node[1], custom_dict) |
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278 |
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279 # this raise exception |
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280 # h._node.update((n, dd.copy()) for n, dd in g.nodes.items()) |
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281 # assert isinstance(h._node[1], custom_dict) |