Fixed database typo and removed unnecessary class identifier.
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								venv/Lib/site-packages/networkx/utils/tests/test_rcm.py
									
										
									
									
									
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								venv/Lib/site-packages/networkx/utils/tests/test_rcm.py
									
										
									
									
									
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							|  | @ -0,0 +1,63 @@ | |||
| from networkx.utils import reverse_cuthill_mckee_ordering | ||||
| import networkx as nx | ||||
| 
 | ||||
| 
 | ||||
| def test_reverse_cuthill_mckee(): | ||||
|     # example graph from | ||||
|     # http://www.boost.org/doc/libs/1_37_0/libs/graph/example/cuthill_mckee_ordering.cpp | ||||
|     G = nx.Graph( | ||||
|         [ | ||||
|             (0, 3), | ||||
|             (0, 5), | ||||
|             (1, 2), | ||||
|             (1, 4), | ||||
|             (1, 6), | ||||
|             (1, 9), | ||||
|             (2, 3), | ||||
|             (2, 4), | ||||
|             (3, 5), | ||||
|             (3, 8), | ||||
|             (4, 6), | ||||
|             (5, 6), | ||||
|             (5, 7), | ||||
|             (6, 7), | ||||
|         ] | ||||
|     ) | ||||
|     rcm = list(reverse_cuthill_mckee_ordering(G)) | ||||
|     assert rcm in [[0, 8, 5, 7, 3, 6, 2, 4, 1, 9], [0, 8, 5, 7, 3, 6, 4, 2, 1, 9]] | ||||
| 
 | ||||
| 
 | ||||
| def test_rcm_alternate_heuristic(): | ||||
|     # example from | ||||
|     G = nx.Graph( | ||||
|         [ | ||||
|             (0, 0), | ||||
|             (0, 4), | ||||
|             (1, 1), | ||||
|             (1, 2), | ||||
|             (1, 5), | ||||
|             (1, 7), | ||||
|             (2, 2), | ||||
|             (2, 4), | ||||
|             (3, 3), | ||||
|             (3, 6), | ||||
|             (4, 4), | ||||
|             (5, 5), | ||||
|             (5, 7), | ||||
|             (6, 6), | ||||
|             (7, 7), | ||||
|         ] | ||||
|     ) | ||||
| 
 | ||||
|     answers = [ | ||||
|         [6, 3, 5, 7, 1, 2, 4, 0], | ||||
|         [6, 3, 7, 5, 1, 2, 4, 0], | ||||
|         [7, 5, 1, 2, 4, 0, 6, 3], | ||||
|     ] | ||||
| 
 | ||||
|     def smallest_degree(G): | ||||
|         deg, node = min((d, n) for n, d in G.degree()) | ||||
|         return node | ||||
| 
 | ||||
|     rcm = list(reverse_cuthill_mckee_ordering(G, heuristic=smallest_degree)) | ||||
|     assert rcm in answers | ||||
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