Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/generators/tests/test_directed.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 """Generators - Directed Graphs |
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2 ---------------------------- |
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3 """ |
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4 import pytest |
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5 |
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6 import networkx as nx |
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7 from networkx.classes import Graph |
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8 from networkx.classes import MultiDiGraph |
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9 from networkx.generators.directed import gn_graph |
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10 from networkx.generators.directed import gnr_graph |
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11 from networkx.generators.directed import gnc_graph |
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12 from networkx.generators.directed import random_k_out_graph |
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13 from networkx.generators.directed import random_uniform_k_out_graph |
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14 from networkx.generators.directed import scale_free_graph |
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15 |
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16 |
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17 class TestGeneratorsDirected: |
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18 def test_smoke_test_random_graphs(self): |
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19 gn_graph(100) |
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20 gnr_graph(100, 0.5) |
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21 gnc_graph(100) |
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22 scale_free_graph(100) |
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23 |
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24 gn_graph(100, seed=42) |
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25 gnr_graph(100, 0.5, seed=42) |
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26 gnc_graph(100, seed=42) |
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27 scale_free_graph(100, seed=42) |
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28 |
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29 def test_create_using_keyword_arguments(self): |
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30 pytest.raises(nx.NetworkXError, gn_graph, 100, create_using=Graph()) |
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31 pytest.raises(nx.NetworkXError, gnr_graph, 100, 0.5, create_using=Graph()) |
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32 pytest.raises(nx.NetworkXError, gnc_graph, 100, create_using=Graph()) |
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33 pytest.raises(nx.NetworkXError, scale_free_graph, 100, create_using=Graph()) |
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34 G = gn_graph(100, seed=1) |
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35 MG = gn_graph(100, create_using=MultiDiGraph(), seed=1) |
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36 assert sorted(G.edges()) == sorted(MG.edges()) |
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37 G = gnr_graph(100, 0.5, seed=1) |
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38 MG = gnr_graph(100, 0.5, create_using=MultiDiGraph(), seed=1) |
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39 assert sorted(G.edges()) == sorted(MG.edges()) |
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40 G = gnc_graph(100, seed=1) |
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41 MG = gnc_graph(100, create_using=MultiDiGraph(), seed=1) |
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42 assert sorted(G.edges()) == sorted(MG.edges()) |
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43 |
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44 G = scale_free_graph( |
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45 100, |
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46 alpha=0.3, |
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47 beta=0.4, |
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48 gamma=0.3, |
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49 delta_in=0.3, |
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50 delta_out=0.1, |
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51 create_using=MultiDiGraph, |
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52 seed=1, |
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53 ) |
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54 pytest.raises(ValueError, scale_free_graph, 100, 0.5, 0.4, 0.3) |
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55 pytest.raises(ValueError, scale_free_graph, 100, alpha=-0.3) |
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56 pytest.raises(ValueError, scale_free_graph, 100, beta=-0.3) |
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57 pytest.raises(ValueError, scale_free_graph, 100, gamma=-0.3) |
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58 |
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59 |
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60 class TestRandomKOutGraph: |
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61 """Unit tests for the |
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62 :func:`~networkx.generators.directed.random_k_out_graph` function. |
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63 |
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64 """ |
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65 |
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66 def test_regularity(self): |
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67 """Tests that the generated graph is `k`-out-regular.""" |
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68 n = 10 |
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69 k = 3 |
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70 alpha = 1 |
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71 G = random_k_out_graph(n, k, alpha) |
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72 assert all(d == k for v, d in G.out_degree()) |
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73 G = random_k_out_graph(n, k, alpha, seed=42) |
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74 assert all(d == k for v, d in G.out_degree()) |
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75 |
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76 def test_no_self_loops(self): |
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77 """Tests for forbidding self-loops.""" |
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78 n = 10 |
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79 k = 3 |
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80 alpha = 1 |
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81 G = random_k_out_graph(n, k, alpha, self_loops=False) |
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82 assert nx.number_of_selfloops(G) == 0 |
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83 |
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84 |
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85 class TestUniformRandomKOutGraph: |
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86 """Unit tests for the |
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87 :func:`~networkx.generators.directed.random_uniform_k_out_graph` |
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88 function. |
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89 |
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90 """ |
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91 |
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92 def test_regularity(self): |
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93 """Tests that the generated graph is `k`-out-regular.""" |
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94 n = 10 |
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95 k = 3 |
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96 G = random_uniform_k_out_graph(n, k) |
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97 assert all(d == k for v, d in G.out_degree()) |
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98 G = random_uniform_k_out_graph(n, k, seed=42) |
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99 assert all(d == k for v, d in G.out_degree()) |
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100 |
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101 def test_no_self_loops(self): |
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102 """Tests for forbidding self-loops.""" |
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103 n = 10 |
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104 k = 3 |
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105 G = random_uniform_k_out_graph(n, k, self_loops=False) |
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106 assert nx.number_of_selfloops(G) == 0 |
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107 assert all(d == k for v, d in G.out_degree()) |
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108 |
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109 def test_with_replacement(self): |
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110 n = 10 |
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111 k = 3 |
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112 G = random_uniform_k_out_graph(n, k, with_replacement=True) |
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113 assert G.is_multigraph() |
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114 assert all(d == k for v, d in G.out_degree()) |
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115 |
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116 def test_without_replacement(self): |
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117 n = 10 |
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118 k = 3 |
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119 G = random_uniform_k_out_graph(n, k, with_replacement=False) |
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120 assert not G.is_multigraph() |
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121 assert all(d == k for v, d in G.out_degree()) |