Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/centrality/tests/test_betweenness_centrality_subset.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 networkx as nx |
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2 from networkx.testing import almost_equal |
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3 |
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4 |
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5 class TestSubsetBetweennessCentrality: |
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6 def test_K5(self): |
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7 """Betweenness Centrality Subset: K5""" |
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8 G = nx.complete_graph(5) |
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9 b = nx.betweenness_centrality_subset( |
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10 G, sources=[0], targets=[1, 3], weight=None |
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11 ) |
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12 b_answer = {0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0} |
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13 for n in sorted(G): |
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14 assert almost_equal(b[n], b_answer[n]) |
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15 |
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16 def test_P5_directed(self): |
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17 """Betweenness Centrality Subset: P5 directed""" |
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18 G = nx.DiGraph() |
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19 nx.add_path(G, range(5)) |
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20 b_answer = {0: 0, 1: 1, 2: 1, 3: 0, 4: 0, 5: 0} |
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21 b = nx.betweenness_centrality_subset(G, sources=[0], targets=[3], weight=None) |
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22 for n in sorted(G): |
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23 assert almost_equal(b[n], b_answer[n]) |
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24 |
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25 def test_P5(self): |
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26 """Betweenness Centrality Subset: P5""" |
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27 G = nx.Graph() |
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28 nx.add_path(G, range(5)) |
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29 b_answer = {0: 0, 1: 0.5, 2: 0.5, 3: 0, 4: 0, 5: 0} |
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30 b = nx.betweenness_centrality_subset(G, sources=[0], targets=[3], weight=None) |
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31 for n in sorted(G): |
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32 assert almost_equal(b[n], b_answer[n]) |
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33 |
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34 def test_P5_multiple_target(self): |
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35 """Betweenness Centrality Subset: P5 multiple target""" |
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36 G = nx.Graph() |
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37 nx.add_path(G, range(5)) |
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38 b_answer = {0: 0, 1: 1, 2: 1, 3: 0.5, 4: 0, 5: 0} |
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39 b = nx.betweenness_centrality_subset( |
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40 G, sources=[0], targets=[3, 4], weight=None |
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41 ) |
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42 for n in sorted(G): |
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43 assert almost_equal(b[n], b_answer[n]) |
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44 |
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45 def test_box(self): |
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46 """Betweenness Centrality Subset: box""" |
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47 G = nx.Graph() |
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48 G.add_edges_from([(0, 1), (0, 2), (1, 3), (2, 3)]) |
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49 b_answer = {0: 0, 1: 0.25, 2: 0.25, 3: 0} |
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50 b = nx.betweenness_centrality_subset(G, sources=[0], targets=[3], weight=None) |
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51 for n in sorted(G): |
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52 assert almost_equal(b[n], b_answer[n]) |
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53 |
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54 def test_box_and_path(self): |
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55 """Betweenness Centrality Subset: box and path""" |
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56 G = nx.Graph() |
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57 G.add_edges_from([(0, 1), (0, 2), (1, 3), (2, 3), (3, 4), (4, 5)]) |
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58 b_answer = {0: 0, 1: 0.5, 2: 0.5, 3: 0.5, 4: 0, 5: 0} |
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59 b = nx.betweenness_centrality_subset( |
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60 G, sources=[0], targets=[3, 4], weight=None |
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61 ) |
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62 for n in sorted(G): |
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63 assert almost_equal(b[n], b_answer[n]) |
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64 |
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65 def test_box_and_path2(self): |
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66 """Betweenness Centrality Subset: box and path multiple target""" |
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67 G = nx.Graph() |
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68 G.add_edges_from([(0, 1), (1, 2), (2, 3), (1, 20), (20, 3), (3, 4)]) |
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69 b_answer = {0: 0, 1: 1.0, 2: 0.5, 20: 0.5, 3: 0.5, 4: 0} |
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70 b = nx.betweenness_centrality_subset( |
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71 G, sources=[0], targets=[3, 4], weight=None |
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72 ) |
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73 for n in sorted(G): |
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74 assert almost_equal(b[n], b_answer[n]) |
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75 |
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76 def test_diamond_multi_path(self): |
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77 """Betweenness Centrality Subset: Diamond Multi Path""" |
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78 G = nx.Graph() |
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79 G.add_edges_from( |
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80 [ |
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81 (1, 2), |
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82 (1, 3), |
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83 (1, 4), |
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84 (1, 5), |
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85 (1, 10), |
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86 (10, 11), |
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87 (11, 12), |
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88 (12, 9), |
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89 (2, 6), |
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90 (3, 6), |
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91 (4, 6), |
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92 (5, 7), |
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93 (7, 8), |
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94 (6, 8), |
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95 (8, 9), |
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96 ] |
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97 ) |
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98 b = nx.betweenness_centrality_subset(G, sources=[1], targets=[9], weight=None) |
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99 |
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100 expected_b = { |
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101 1: 0, |
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102 2: 1.0 / 10, |
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103 3: 1.0 / 10, |
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104 4: 1.0 / 10, |
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105 5: 1.0 / 10, |
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106 6: 3.0 / 10, |
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107 7: 1.0 / 10, |
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108 8: 4.0 / 10, |
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109 9: 0, |
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110 10: 1.0 / 10, |
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111 11: 1.0 / 10, |
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112 12: 1.0 / 10, |
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113 } |
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114 |
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115 for n in sorted(G): |
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116 assert almost_equal(b[n], expected_b[n]) |
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117 |
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118 |
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119 class TestBetweennessCentralitySources: |
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120 def test_K5(self): |
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121 """Betweenness Centrality Sources: K5""" |
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122 G = nx.complete_graph(5) |
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123 b = nx.betweenness_centrality_source(G, weight=None, normalized=False) |
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124 b_answer = {0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0} |
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125 for n in sorted(G): |
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126 assert almost_equal(b[n], b_answer[n]) |
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127 |
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128 def test_P3(self): |
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129 """Betweenness Centrality Sources: P3""" |
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130 G = nx.path_graph(3) |
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131 b_answer = {0: 0.0, 1: 1.0, 2: 0.0} |
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132 b = nx.betweenness_centrality_source(G, weight=None, normalized=True) |
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133 for n in sorted(G): |
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134 assert almost_equal(b[n], b_answer[n]) |
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135 |
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136 |
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137 class TestEdgeSubsetBetweennessCentrality: |
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138 def test_K5(self): |
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139 """Edge betweenness subset centrality: K5""" |
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140 G = nx.complete_graph(5) |
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141 b = nx.edge_betweenness_centrality_subset( |
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142 G, sources=[0], targets=[1, 3], weight=None |
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143 ) |
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144 b_answer = dict.fromkeys(G.edges(), 0) |
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145 b_answer[(0, 3)] = b_answer[(0, 1)] = 0.5 |
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146 for n in sorted(G.edges()): |
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147 assert almost_equal(b[n], b_answer[n]) |
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148 |
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149 def test_P5_directed(self): |
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150 """Edge betweenness subset centrality: P5 directed""" |
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151 G = nx.DiGraph() |
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152 nx.add_path(G, range(5)) |
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153 b_answer = dict.fromkeys(G.edges(), 0) |
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154 b_answer[(0, 1)] = b_answer[(1, 2)] = b_answer[(2, 3)] = 1 |
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155 b = nx.edge_betweenness_centrality_subset( |
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156 G, sources=[0], targets=[3], weight=None |
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157 ) |
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158 for n in sorted(G.edges()): |
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159 assert almost_equal(b[n], b_answer[n]) |
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160 |
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161 def test_P5(self): |
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162 """Edge betweenness subset centrality: P5""" |
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163 G = nx.Graph() |
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164 nx.add_path(G, range(5)) |
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165 b_answer = dict.fromkeys(G.edges(), 0) |
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166 b_answer[(0, 1)] = b_answer[(1, 2)] = b_answer[(2, 3)] = 0.5 |
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167 b = nx.edge_betweenness_centrality_subset( |
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168 G, sources=[0], targets=[3], weight=None |
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169 ) |
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170 for n in sorted(G.edges()): |
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171 assert almost_equal(b[n], b_answer[n]) |
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172 |
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173 def test_P5_multiple_target(self): |
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174 """Edge betweenness subset centrality: P5 multiple target""" |
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175 G = nx.Graph() |
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176 nx.add_path(G, range(5)) |
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177 b_answer = dict.fromkeys(G.edges(), 0) |
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178 b_answer[(0, 1)] = b_answer[(1, 2)] = b_answer[(2, 3)] = 1 |
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179 b_answer[(3, 4)] = 0.5 |
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180 b = nx.edge_betweenness_centrality_subset( |
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181 G, sources=[0], targets=[3, 4], weight=None |
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182 ) |
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183 for n in sorted(G.edges()): |
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184 assert almost_equal(b[n], b_answer[n]) |
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185 |
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186 def test_box(self): |
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187 """Edge betweenness subset centrality: box""" |
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188 G = nx.Graph() |
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189 G.add_edges_from([(0, 1), (0, 2), (1, 3), (2, 3)]) |
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190 b_answer = dict.fromkeys(G.edges(), 0) |
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191 b_answer[(0, 1)] = b_answer[(0, 2)] = 0.25 |
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192 b_answer[(1, 3)] = b_answer[(2, 3)] = 0.25 |
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193 b = nx.edge_betweenness_centrality_subset( |
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194 G, sources=[0], targets=[3], weight=None |
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195 ) |
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196 for n in sorted(G.edges()): |
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197 assert almost_equal(b[n], b_answer[n]) |
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198 |
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199 def test_box_and_path(self): |
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200 """Edge betweenness subset centrality: box and path""" |
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201 G = nx.Graph() |
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202 G.add_edges_from([(0, 1), (0, 2), (1, 3), (2, 3), (3, 4), (4, 5)]) |
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203 b_answer = dict.fromkeys(G.edges(), 0) |
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204 b_answer[(0, 1)] = b_answer[(0, 2)] = 0.5 |
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205 b_answer[(1, 3)] = b_answer[(2, 3)] = 0.5 |
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206 b_answer[(3, 4)] = 0.5 |
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207 b = nx.edge_betweenness_centrality_subset( |
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208 G, sources=[0], targets=[3, 4], weight=None |
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209 ) |
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210 for n in sorted(G.edges()): |
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211 assert almost_equal(b[n], b_answer[n]) |
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212 |
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213 def test_box_and_path2(self): |
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214 """Edge betweenness subset centrality: box and path multiple target""" |
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215 G = nx.Graph() |
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216 G.add_edges_from([(0, 1), (1, 2), (2, 3), (1, 20), (20, 3), (3, 4)]) |
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217 b_answer = dict.fromkeys(G.edges(), 0) |
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218 b_answer[(0, 1)] = 1.0 |
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219 b_answer[(1, 20)] = b_answer[(3, 20)] = 0.5 |
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220 b_answer[(1, 2)] = b_answer[(2, 3)] = 0.5 |
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221 b_answer[(3, 4)] = 0.5 |
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222 b = nx.edge_betweenness_centrality_subset( |
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223 G, sources=[0], targets=[3, 4], weight=None |
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224 ) |
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225 for n in sorted(G.edges()): |
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226 assert almost_equal(b[n], b_answer[n]) |