Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/tests/test_voronoi.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.utils import pairwise |
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3 |
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4 |
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5 class TestVoronoiCells: |
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6 """Unit tests for the Voronoi cells function.""" |
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7 |
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8 def test_isolates(self): |
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9 """Tests that a graph with isolated nodes has all isolates in |
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10 one block of the partition. |
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11 |
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12 """ |
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13 G = nx.empty_graph(5) |
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14 cells = nx.voronoi_cells(G, {0, 2, 4}) |
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15 expected = {0: {0}, 2: {2}, 4: {4}, "unreachable": {1, 3}} |
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16 assert expected == cells |
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17 |
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18 def test_undirected_unweighted(self): |
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19 G = nx.cycle_graph(6) |
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20 cells = nx.voronoi_cells(G, {0, 3}) |
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21 expected = {0: {0, 1, 5}, 3: {2, 3, 4}} |
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22 assert expected == cells |
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23 |
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24 def test_directed_unweighted(self): |
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25 # This is the singly-linked directed cycle graph on six nodes. |
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26 G = nx.DiGraph(pairwise(range(6), cyclic=True)) |
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27 cells = nx.voronoi_cells(G, {0, 3}) |
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28 expected = {0: {0, 1, 2}, 3: {3, 4, 5}} |
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29 assert expected == cells |
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30 |
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31 def test_directed_inward(self): |
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32 """Tests that reversing the graph gives the "inward" Voronoi |
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33 partition. |
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34 |
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35 """ |
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36 # This is the singly-linked reverse directed cycle graph on six nodes. |
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37 G = nx.DiGraph(pairwise(range(6), cyclic=True)) |
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38 G = G.reverse(copy=False) |
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39 cells = nx.voronoi_cells(G, {0, 3}) |
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40 expected = {0: {0, 4, 5}, 3: {1, 2, 3}} |
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41 assert expected == cells |
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42 |
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43 def test_undirected_weighted(self): |
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44 edges = [(0, 1, 10), (1, 2, 1), (2, 3, 1)] |
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45 G = nx.Graph() |
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46 G.add_weighted_edges_from(edges) |
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47 cells = nx.voronoi_cells(G, {0, 3}) |
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48 expected = {0: {0}, 3: {1, 2, 3}} |
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49 assert expected == cells |
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50 |
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51 def test_directed_weighted(self): |
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52 edges = [(0, 1, 10), (1, 2, 1), (2, 3, 1), (3, 2, 1), (2, 1, 1)] |
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53 G = nx.DiGraph() |
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54 G.add_weighted_edges_from(edges) |
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55 cells = nx.voronoi_cells(G, {0, 3}) |
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56 expected = {0: {0}, 3: {1, 2, 3}} |
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57 assert expected == cells |
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58 |
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59 def test_multigraph_unweighted(self): |
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60 """Tests that the Voronoi cells for a multigraph are the same as |
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61 for a simple graph. |
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62 |
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63 """ |
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64 edges = [(0, 1), (1, 2), (2, 3)] |
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65 G = nx.MultiGraph(2 * edges) |
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66 H = nx.Graph(G) |
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67 G_cells = nx.voronoi_cells(G, {0, 3}) |
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68 H_cells = nx.voronoi_cells(H, {0, 3}) |
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69 assert G_cells == H_cells |
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70 |
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71 def test_multidigraph_unweighted(self): |
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72 # This is the twice-singly-linked directed cycle graph on six nodes. |
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73 edges = list(pairwise(range(6), cyclic=True)) |
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74 G = nx.MultiDiGraph(2 * edges) |
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75 H = nx.DiGraph(G) |
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76 G_cells = nx.voronoi_cells(G, {0, 3}) |
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77 H_cells = nx.voronoi_cells(H, {0, 3}) |
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78 assert G_cells == H_cells |
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79 |
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80 def test_multigraph_weighted(self): |
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81 edges = [(0, 1, 10), (0, 1, 10), (1, 2, 1), (1, 2, 100), (2, 3, 1), (2, 3, 100)] |
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82 G = nx.MultiGraph() |
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83 G.add_weighted_edges_from(edges) |
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84 cells = nx.voronoi_cells(G, {0, 3}) |
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85 expected = {0: {0}, 3: {1, 2, 3}} |
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86 assert expected == cells |
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87 |
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88 def test_multidigraph_weighted(self): |
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89 edges = [ |
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90 (0, 1, 10), |
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91 (0, 1, 10), |
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92 (1, 2, 1), |
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93 (2, 3, 1), |
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94 (3, 2, 10), |
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95 (3, 2, 1), |
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96 (2, 1, 10), |
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97 (2, 1, 1), |
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98 ] |
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99 G = nx.MultiDiGraph() |
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100 G.add_weighted_edges_from(edges) |
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101 cells = nx.voronoi_cells(G, {0, 3}) |
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102 expected = {0: {0}, 3: {1, 2, 3}} |
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103 assert expected == cells |