annotate env/lib/python3.9/site-packages/networkx/algorithms/tree/tests/test_coding.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 """Unit tests for the :mod:`~networkx.algorithms.tree.coding` module."""
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2 from itertools import product
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3
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4 import pytest
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5 import networkx as nx
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6 from networkx.testing import assert_nodes_equal
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7 from networkx.testing import assert_edges_equal
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8
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9
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10 class TestPruferSequence:
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11 """Unit tests for the Prüfer sequence encoding and decoding
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12 functions.
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13
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14 """
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15
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16 def test_nontree(self):
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17 with pytest.raises(nx.NotATree):
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18 G = nx.cycle_graph(3)
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19 nx.to_prufer_sequence(G)
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20
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21 def test_null_graph(self):
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22 with pytest.raises(nx.NetworkXPointlessConcept):
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23 nx.to_prufer_sequence(nx.null_graph())
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24
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25 def test_trivial_graph(self):
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26 with pytest.raises(nx.NetworkXPointlessConcept):
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27 nx.to_prufer_sequence(nx.trivial_graph())
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28
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29 def test_bad_integer_labels(self):
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30 with pytest.raises(KeyError):
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31 T = nx.Graph(nx.utils.pairwise("abc"))
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32 nx.to_prufer_sequence(T)
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33
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34 def test_encoding(self):
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35 """Tests for encoding a tree as a Prüfer sequence using the
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36 iterative strategy.
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37
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38 """
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39 # Example from Wikipedia.
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40 tree = nx.Graph([(0, 3), (1, 3), (2, 3), (3, 4), (4, 5)])
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41 sequence = nx.to_prufer_sequence(tree)
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42 assert sequence == [3, 3, 3, 4]
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43
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44 def test_decoding(self):
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45 """Tests for decoding a tree from a Prüfer sequence."""
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46 # Example from Wikipedia.
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47 sequence = [3, 3, 3, 4]
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48 tree = nx.from_prufer_sequence(sequence)
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49 assert_nodes_equal(list(tree), list(range(6)))
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50 edges = [(0, 3), (1, 3), (2, 3), (3, 4), (4, 5)]
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51 assert_edges_equal(list(tree.edges()), edges)
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52
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53 def test_decoding2(self):
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54 # Example from "An Optimal Algorithm for Prufer Codes".
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55 sequence = [2, 4, 0, 1, 3, 3]
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56 tree = nx.from_prufer_sequence(sequence)
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57 assert_nodes_equal(list(tree), list(range(8)))
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58 edges = [(0, 1), (0, 4), (1, 3), (2, 4), (2, 5), (3, 6), (3, 7)]
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59 assert_edges_equal(list(tree.edges()), edges)
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60
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61 def test_inverse(self):
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62 """Tests that the encoding and decoding functions are inverses.
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63
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64 """
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65 for T in nx.nonisomorphic_trees(4):
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66 T2 = nx.from_prufer_sequence(nx.to_prufer_sequence(T))
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67 assert_nodes_equal(list(T), list(T2))
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68 assert_edges_equal(list(T.edges()), list(T2.edges()))
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69
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70 for seq in product(range(4), repeat=2):
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71 seq2 = nx.to_prufer_sequence(nx.from_prufer_sequence(seq))
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72 assert list(seq) == seq2
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73
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74
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75 class TestNestedTuple:
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76 """Unit tests for the nested tuple encoding and decoding functions.
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77
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78 """
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79
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80 def test_nontree(self):
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81 with pytest.raises(nx.NotATree):
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82 G = nx.cycle_graph(3)
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83 nx.to_nested_tuple(G, 0)
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84
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85 def test_unknown_root(self):
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86 with pytest.raises(nx.NodeNotFound):
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87 G = nx.path_graph(2)
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88 nx.to_nested_tuple(G, "bogus")
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89
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90 def test_encoding(self):
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91 T = nx.full_rary_tree(2, 2 ** 3 - 1)
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92 expected = (((), ()), ((), ()))
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93 actual = nx.to_nested_tuple(T, 0)
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94 assert_nodes_equal(expected, actual)
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95
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96 def test_canonical_form(self):
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97 T = nx.Graph()
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98 T.add_edges_from([(0, 1), (0, 2), (0, 3)])
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99 T.add_edges_from([(1, 4), (1, 5)])
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100 T.add_edges_from([(3, 6), (3, 7)])
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101 root = 0
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102 actual = nx.to_nested_tuple(T, root, canonical_form=True)
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103 expected = ((), ((), ()), ((), ()))
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104 assert actual == expected
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105
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106 def test_decoding(self):
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107 balanced = (((), ()), ((), ()))
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108 expected = nx.full_rary_tree(2, 2 ** 3 - 1)
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109 actual = nx.from_nested_tuple(balanced)
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110 assert nx.is_isomorphic(expected, actual)
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111
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112 def test_sensible_relabeling(self):
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113 balanced = (((), ()), ((), ()))
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114 T = nx.from_nested_tuple(balanced, sensible_relabeling=True)
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115 edges = [(0, 1), (0, 2), (1, 3), (1, 4), (2, 5), (2, 6)]
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116 assert_nodes_equal(list(T), list(range(2 ** 3 - 1)))
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117 assert_edges_equal(list(T.edges()), edges)