Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/traversal/tests/test_edgedfs.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 import pytest |
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2 |
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3 import networkx as nx |
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4 |
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5 edge_dfs = nx.algorithms.edge_dfs |
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6 |
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7 FORWARD = nx.algorithms.edgedfs.FORWARD |
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8 REVERSE = nx.algorithms.edgedfs.REVERSE |
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9 |
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10 # These tests can fail with hash randomization. The easiest and clearest way |
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11 # to write these unit tests is for the edges to be output in an expected total |
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12 # order, but we cannot guarantee the order amongst outgoing edges from a node, |
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13 # unless each class uses an ordered data structure for neighbors. This is |
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14 # painful to do with the current API. The alternative is that the tests are |
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15 # written (IMO confusingly) so that there is not a total order over the edges, |
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16 # but only a partial order. Due to the small size of the graphs, hopefully |
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17 # failures due to hash randomization will not occur. For an example of how |
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18 # this can fail, see TestEdgeDFS.test_multigraph. |
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19 |
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20 |
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21 class TestEdgeDFS: |
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22 @classmethod |
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23 def setup_class(cls): |
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24 cls.nodes = [0, 1, 2, 3] |
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25 cls.edges = [(0, 1), (1, 0), (1, 0), (2, 1), (3, 1)] |
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26 |
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27 def test_empty(self): |
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28 G = nx.Graph() |
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29 edges = list(edge_dfs(G)) |
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30 assert edges == [] |
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31 |
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32 def test_graph(self): |
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33 G = nx.Graph(self.edges) |
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34 x = list(edge_dfs(G, self.nodes)) |
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35 x_ = [(0, 1), (1, 2), (1, 3)] |
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36 assert x == x_ |
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37 |
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38 def test_digraph(self): |
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39 G = nx.DiGraph(self.edges) |
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40 x = list(edge_dfs(G, self.nodes)) |
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41 x_ = [(0, 1), (1, 0), (2, 1), (3, 1)] |
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42 assert x == x_ |
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43 |
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44 def test_digraph_orientation_invalid(self): |
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45 G = nx.DiGraph(self.edges) |
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46 edge_iterator = edge_dfs(G, self.nodes, orientation="hello") |
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47 pytest.raises(nx.NetworkXError, list, edge_iterator) |
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48 |
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49 def test_digraph_orientation_none(self): |
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50 G = nx.DiGraph(self.edges) |
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51 x = list(edge_dfs(G, self.nodes, orientation=None)) |
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52 x_ = [(0, 1), (1, 0), (2, 1), (3, 1)] |
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53 assert x == x_ |
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54 |
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55 def test_digraph_orientation_original(self): |
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56 G = nx.DiGraph(self.edges) |
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57 x = list(edge_dfs(G, self.nodes, orientation="original")) |
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58 x_ = [(0, 1, FORWARD), (1, 0, FORWARD), (2, 1, FORWARD), (3, 1, FORWARD)] |
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59 assert x == x_ |
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60 |
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61 def test_digraph2(self): |
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62 G = nx.DiGraph() |
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63 nx.add_path(G, range(4)) |
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64 x = list(edge_dfs(G, [0])) |
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65 x_ = [(0, 1), (1, 2), (2, 3)] |
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66 assert x == x_ |
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67 |
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68 def test_digraph_rev(self): |
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69 G = nx.DiGraph(self.edges) |
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70 x = list(edge_dfs(G, self.nodes, orientation="reverse")) |
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71 x_ = [(1, 0, REVERSE), (0, 1, REVERSE), (2, 1, REVERSE), (3, 1, REVERSE)] |
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72 assert x == x_ |
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73 |
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74 def test_digraph_rev2(self): |
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75 G = nx.DiGraph() |
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76 nx.add_path(G, range(4)) |
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77 x = list(edge_dfs(G, [3], orientation="reverse")) |
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78 x_ = [(2, 3, REVERSE), (1, 2, REVERSE), (0, 1, REVERSE)] |
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79 assert x == x_ |
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80 |
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81 def test_multigraph(self): |
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82 G = nx.MultiGraph(self.edges) |
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83 x = list(edge_dfs(G, self.nodes)) |
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84 x_ = [(0, 1, 0), (1, 0, 1), (0, 1, 2), (1, 2, 0), (1, 3, 0)] |
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85 # This is an example of where hash randomization can break. |
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86 # There are 3! * 2 alternative outputs, such as: |
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87 # [(0, 1, 1), (1, 0, 0), (0, 1, 2), (1, 3, 0), (1, 2, 0)] |
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88 # But note, the edges (1,2,0) and (1,3,0) always follow the (0,1,k) |
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89 # edges. So the algorithm only guarantees a partial order. A total |
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90 # order is guaranteed only if the graph data structures are ordered. |
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91 assert x == x_ |
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92 |
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93 def test_multidigraph(self): |
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94 G = nx.MultiDiGraph(self.edges) |
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95 x = list(edge_dfs(G, self.nodes)) |
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96 x_ = [(0, 1, 0), (1, 0, 0), (1, 0, 1), (2, 1, 0), (3, 1, 0)] |
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97 assert x == x_ |
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98 |
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99 def test_multidigraph_rev(self): |
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100 G = nx.MultiDiGraph(self.edges) |
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101 x = list(edge_dfs(G, self.nodes, orientation="reverse")) |
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102 x_ = [ |
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103 (1, 0, 0, REVERSE), |
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104 (0, 1, 0, REVERSE), |
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105 (1, 0, 1, REVERSE), |
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106 (2, 1, 0, REVERSE), |
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107 (3, 1, 0, REVERSE), |
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108 ] |
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109 assert x == x_ |
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110 |
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111 def test_digraph_ignore(self): |
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112 G = nx.DiGraph(self.edges) |
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113 x = list(edge_dfs(G, self.nodes, orientation="ignore")) |
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114 x_ = [(0, 1, FORWARD), (1, 0, FORWARD), (2, 1, REVERSE), (3, 1, REVERSE)] |
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115 assert x == x_ |
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116 |
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117 def test_digraph_ignore2(self): |
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118 G = nx.DiGraph() |
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119 nx.add_path(G, range(4)) |
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120 x = list(edge_dfs(G, [0], orientation="ignore")) |
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121 x_ = [(0, 1, FORWARD), (1, 2, FORWARD), (2, 3, FORWARD)] |
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122 assert x == x_ |
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123 |
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124 def test_multidigraph_ignore(self): |
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125 G = nx.MultiDiGraph(self.edges) |
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126 x = list(edge_dfs(G, self.nodes, orientation="ignore")) |
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127 x_ = [ |
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128 (0, 1, 0, FORWARD), |
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129 (1, 0, 0, FORWARD), |
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130 (1, 0, 1, REVERSE), |
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131 (2, 1, 0, REVERSE), |
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132 (3, 1, 0, REVERSE), |
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133 ] |
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134 assert x == x_ |