Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/approximation/tests/test_steinertree.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 pytest |
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2 import networkx as nx |
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3 from networkx.algorithms.approximation.steinertree import metric_closure |
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4 from networkx.algorithms.approximation.steinertree import steiner_tree |
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5 from networkx.testing.utils import assert_edges_equal |
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6 |
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7 |
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8 class TestSteinerTree: |
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9 @classmethod |
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10 def setup_class(cls): |
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11 G = nx.Graph() |
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12 G.add_edge(1, 2, weight=10) |
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13 G.add_edge(2, 3, weight=10) |
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14 G.add_edge(3, 4, weight=10) |
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15 G.add_edge(4, 5, weight=10) |
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16 G.add_edge(5, 6, weight=10) |
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17 G.add_edge(2, 7, weight=1) |
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18 G.add_edge(7, 5, weight=1) |
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19 cls.G = G |
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20 cls.term_nodes = [1, 2, 3, 4, 5] |
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21 |
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22 def test_connected_metric_closure(self): |
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23 G = self.G.copy() |
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24 G.add_node(100) |
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25 pytest.raises(nx.NetworkXError, metric_closure, G) |
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26 |
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27 def test_metric_closure(self): |
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28 M = metric_closure(self.G) |
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29 mc = [ |
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30 (1, 2, {"distance": 10, "path": [1, 2]}), |
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31 (1, 3, {"distance": 20, "path": [1, 2, 3]}), |
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32 (1, 4, {"distance": 22, "path": [1, 2, 7, 5, 4]}), |
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33 (1, 5, {"distance": 12, "path": [1, 2, 7, 5]}), |
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34 (1, 6, {"distance": 22, "path": [1, 2, 7, 5, 6]}), |
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35 (1, 7, {"distance": 11, "path": [1, 2, 7]}), |
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36 (2, 3, {"distance": 10, "path": [2, 3]}), |
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37 (2, 4, {"distance": 12, "path": [2, 7, 5, 4]}), |
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38 (2, 5, {"distance": 2, "path": [2, 7, 5]}), |
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39 (2, 6, {"distance": 12, "path": [2, 7, 5, 6]}), |
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40 (2, 7, {"distance": 1, "path": [2, 7]}), |
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41 (3, 4, {"distance": 10, "path": [3, 4]}), |
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42 (3, 5, {"distance": 12, "path": [3, 2, 7, 5]}), |
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43 (3, 6, {"distance": 22, "path": [3, 2, 7, 5, 6]}), |
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44 (3, 7, {"distance": 11, "path": [3, 2, 7]}), |
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45 (4, 5, {"distance": 10, "path": [4, 5]}), |
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46 (4, 6, {"distance": 20, "path": [4, 5, 6]}), |
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47 (4, 7, {"distance": 11, "path": [4, 5, 7]}), |
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48 (5, 6, {"distance": 10, "path": [5, 6]}), |
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49 (5, 7, {"distance": 1, "path": [5, 7]}), |
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50 (6, 7, {"distance": 11, "path": [6, 5, 7]}), |
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51 ] |
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52 assert_edges_equal(list(M.edges(data=True)), mc) |
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53 |
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54 def test_steiner_tree(self): |
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55 S = steiner_tree(self.G, self.term_nodes) |
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56 expected_steiner_tree = [ |
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57 (1, 2, {"weight": 10}), |
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58 (2, 3, {"weight": 10}), |
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59 (2, 7, {"weight": 1}), |
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60 (3, 4, {"weight": 10}), |
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61 (5, 7, {"weight": 1}), |
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62 ] |
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63 assert_edges_equal(list(S.edges(data=True)), expected_steiner_tree) |
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64 |
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65 def test_multigraph_steiner_tree(self): |
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66 G = nx.MultiGraph() |
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67 G.add_edges_from( |
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68 [ |
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69 (1, 2, 0, {"weight": 1}), |
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70 (2, 3, 0, {"weight": 999}), |
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71 (2, 3, 1, {"weight": 1}), |
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72 (3, 4, 0, {"weight": 1}), |
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73 (3, 5, 0, {"weight": 1}), |
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74 ] |
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75 ) |
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76 terminal_nodes = [2, 4, 5] |
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77 expected_edges = [ |
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78 (2, 3, 1, {"weight": 1}), # edge with key 1 has lower weight |
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79 (3, 4, 0, {"weight": 1}), |
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80 (3, 5, 0, {"weight": 1}), |
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81 ] |
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82 T = steiner_tree(G, terminal_nodes) |
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83 assert_edges_equal(T.edges(data=True, keys=True), expected_edges) |