def test_random_0(self):
     clusters = [(3, 8), (2, 6), (3, 4), (1, 7),
                 (2, 3, 5, 7), (1, 4, 7, 8),
                 (1,), (2,), (3,), (4,), (5,), (6,), (7,), (8,)]
     gold = ("1 2 3 4 5 6 7 8 1,2,3,4,5,6,7,8 "
             "1,4,7,8 2,3,5,7 2,6 3,8 1,7 3,4 1,4 1,8 2,5 3,5 5,7 "
             "1,4,7 1,4,8 1,7,8 2,3,5 2,5,7 3,5,7 ").split()
     result = cluster_soft(construct(clusters))
     self.assertItemsEqual(result, gold)
 def test_random_2(self):
     clusters = [
         (3, 5), (2, 5), (5, 9), (4, 10), (1, 2),
         (3, 4, 6, 7, 8), (2, 5, 8, 9, 10),
         (1,), (2,), (3,), (4,), (5,), (6,), (7,), (8,), (9,), (10,)]
     gold = ("1 2 3 4 5 6 7 8 9 10 1,10,2,3,4,5,6,7,8,9 "
             "5,9 10,2,5,8,9 2,5,8,9 8,9 2,5,9 2,5 10,2,8,9 1,2 6,7 "
             "10,5,8,9 4,6,7,8 2,8,9 3,6,7 10,4 10,5,9 6,7,8 10,9 2,9 "
             "10,2,5,9 3,5 10,8,9 5,8,9 10,2,9  3,6,7,8 3,4,6,7 4,6,7 3,4,6,7,8 "
             "").split()
     result = cluster_soft(construct(clusters))
     self.assertItemsEqual(result, gold)
 def soft(cls, g):
     return cluster_soft(g)
 def test_one(self):
     clusters = [("human", "rat")]
     G = construct(clusters)
     gold = "human rat human,rat".split()
     self.assertItemsEqual(cluster_soft(G), gold)
Beispiel #5
0
def cluster_soft_cache(g):
    return cluster_soft(g)
Beispiel #6
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def cluster_soft_cache(g):
    cluster_soft(g)