annotate env/lib/python3.9/site-packages/networkx/classes/tests/test_digraph_historical.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 """Original NetworkX graph tests"""
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2 import pytest
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3 import networkx
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4 import networkx as nx
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5
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6 from .historical_tests import HistoricalTests
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7
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8
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9 class TestDiGraphHistorical(HistoricalTests):
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10 @classmethod
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11 def setup_class(cls):
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12 HistoricalTests.setup_class()
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13 cls.G = nx.DiGraph
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14
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15 def test_in_degree(self):
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16 G = self.G()
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17 G.add_nodes_from("GJK")
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18 G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("B", "C"), ("C", "D")])
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19
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20 assert sorted(d for n, d in G.in_degree()) == [0, 0, 0, 0, 1, 2, 2]
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21 assert dict(G.in_degree()) == {
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22 "A": 0,
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23 "C": 2,
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24 "B": 1,
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25 "D": 2,
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26 "G": 0,
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27 "K": 0,
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28 "J": 0,
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29 }
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30
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31 def test_out_degree(self):
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32 G = self.G()
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33 G.add_nodes_from("GJK")
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34 G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("B", "C"), ("C", "D")])
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35 assert sorted([v for k, v in G.in_degree()]) == [0, 0, 0, 0, 1, 2, 2]
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36 assert dict(G.out_degree()) == {
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37 "A": 2,
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38 "C": 1,
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39 "B": 2,
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40 "D": 0,
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41 "G": 0,
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42 "K": 0,
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43 "J": 0,
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44 }
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45
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46 def test_degree_digraph(self):
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47 H = nx.DiGraph()
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48 H.add_edges_from([(1, 24), (1, 2)])
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49 assert sorted(d for n, d in H.in_degree([1, 24])) == [0, 1]
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50 assert sorted(d for n, d in H.out_degree([1, 24])) == [0, 2]
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51 assert sorted(d for n, d in H.degree([1, 24])) == [1, 2]
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52
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53 def test_neighbors(self):
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54 G = self.G()
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55 G.add_nodes_from("GJK")
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56 G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("B", "C"), ("C", "D")])
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57
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58 assert sorted(G.neighbors("C")) == ["D"]
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59 assert sorted(G["C"]) == ["D"]
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60 assert sorted(G.neighbors("A")) == ["B", "C"]
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61 pytest.raises(nx.NetworkXError, G.neighbors, "j")
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62 pytest.raises(nx.NetworkXError, G.neighbors, "j")
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63
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64 def test_successors(self):
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65 G = self.G()
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66 G.add_nodes_from("GJK")
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67 G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("B", "C"), ("C", "D")])
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68 assert sorted(G.successors("A")) == ["B", "C"]
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69 assert sorted(G.successors("A")) == ["B", "C"]
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70 assert sorted(G.successors("G")) == []
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71 assert sorted(G.successors("D")) == []
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72 assert sorted(G.successors("G")) == []
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73 pytest.raises(nx.NetworkXError, G.successors, "j")
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74 pytest.raises(nx.NetworkXError, G.successors, "j")
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75
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76 def test_predecessors(self):
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77 G = self.G()
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78 G.add_nodes_from("GJK")
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79 G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("B", "C"), ("C", "D")])
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80 assert sorted(G.predecessors("C")) == ["A", "B"]
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81 assert sorted(G.predecessors("C")) == ["A", "B"]
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82 assert sorted(G.predecessors("G")) == []
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83 assert sorted(G.predecessors("A")) == []
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84 assert sorted(G.predecessors("G")) == []
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85 assert sorted(G.predecessors("A")) == []
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86 assert sorted(G.successors("D")) == []
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87
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88 pytest.raises(nx.NetworkXError, G.predecessors, "j")
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89 pytest.raises(nx.NetworkXError, G.predecessors, "j")
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90
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91 def test_reverse(self):
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92 G = nx.complete_graph(10)
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93 H = G.to_directed()
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94 HR = H.reverse()
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95 assert nx.is_isomorphic(H, HR)
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96 assert sorted(H.edges()) == sorted(HR.edges())
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97
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98 def test_reverse2(self):
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99 H = nx.DiGraph()
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100 foo = [H.add_edge(u, u + 1) for u in range(0, 5)]
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101 HR = H.reverse()
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102 for u in range(0, 5):
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103 assert HR.has_edge(u + 1, u)
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104
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105 def test_reverse3(self):
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106 H = nx.DiGraph()
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107 H.add_nodes_from([1, 2, 3, 4])
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108 HR = H.reverse()
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109 assert sorted(HR.nodes()) == [1, 2, 3, 4]