Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/shortest_paths/tests/test_dense_numpy.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
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 |
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3 numpy = pytest.importorskip("numpy") |
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4 npt = pytest.importorskip("numpy.testing") |
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5 |
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6 |
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7 import networkx as nx |
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8 |
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9 |
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10 class TestFloydNumpy: |
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11 def test_cycle_numpy(self): |
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12 dist = nx.floyd_warshall_numpy(nx.cycle_graph(7)) |
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13 assert dist[0, 3] == 3 |
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14 assert dist[0, 4] == 3 |
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15 |
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16 def test_weighted_numpy_three_edges(self): |
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17 XG3 = nx.Graph() |
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18 XG3.add_weighted_edges_from( |
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19 [[0, 1, 2], [1, 2, 12], [2, 3, 1], [3, 4, 5], [4, 5, 1], [5, 0, 10]] |
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20 ) |
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21 dist = nx.floyd_warshall_numpy(XG3) |
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22 assert dist[0, 3] == 15 |
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23 |
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24 def test_weighted_numpy_two_edges(self): |
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25 XG4 = nx.Graph() |
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26 XG4.add_weighted_edges_from( |
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27 [ |
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28 [0, 1, 2], |
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29 [1, 2, 2], |
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30 [2, 3, 1], |
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31 [3, 4, 1], |
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32 [4, 5, 1], |
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33 [5, 6, 1], |
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34 [6, 7, 1], |
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35 [7, 0, 1], |
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36 ] |
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37 ) |
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38 dist = nx.floyd_warshall_numpy(XG4) |
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39 assert dist[0, 2] == 4 |
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40 |
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41 def test_weight_parameter_numpy(self): |
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42 XG4 = nx.Graph() |
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43 XG4.add_edges_from( |
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44 [ |
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45 (0, 1, {"heavy": 2}), |
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46 (1, 2, {"heavy": 2}), |
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47 (2, 3, {"heavy": 1}), |
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48 (3, 4, {"heavy": 1}), |
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49 (4, 5, {"heavy": 1}), |
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50 (5, 6, {"heavy": 1}), |
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51 (6, 7, {"heavy": 1}), |
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52 (7, 0, {"heavy": 1}), |
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53 ] |
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54 ) |
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55 dist = nx.floyd_warshall_numpy(XG4, weight="heavy") |
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56 assert dist[0, 2] == 4 |
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57 |
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58 def test_directed_cycle_numpy(self): |
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59 G = nx.DiGraph() |
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60 nx.add_cycle(G, [0, 1, 2, 3]) |
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61 pred, dist = nx.floyd_warshall_predecessor_and_distance(G) |
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62 D = nx.utils.dict_to_numpy_array(dist) |
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63 npt.assert_equal(nx.floyd_warshall_numpy(G), D) |
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64 |
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65 def test_zero_weight(self): |
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66 G = nx.DiGraph() |
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67 edges = [(1, 2, -2), (2, 3, -4), (1, 5, 1), (5, 4, 0), (4, 3, -5), (2, 5, -7)] |
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68 G.add_weighted_edges_from(edges) |
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69 dist = nx.floyd_warshall_numpy(G) |
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70 assert int(numpy.min(dist)) == -14 |
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71 |
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72 G = nx.MultiDiGraph() |
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73 edges.append((2, 5, -7)) |
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74 G.add_weighted_edges_from(edges) |
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75 dist = nx.floyd_warshall_numpy(G) |
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76 assert int(numpy.min(dist)) == -14 |