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Subject: Fix some test case failures on i386.
Origin: upstream
Bug-Debian: https://bugs.debian.org/806383
Applied-Upstream: https://github.com/igraph/python-igraph/commit/17df5c301a952e4894db4e4a8963d85527fdc860
--- a/igraph/test/decomposition.py 2016-08-24 11:32:21.187287419 +0200
+++ b/igraph/test/decomposition.py 2016-08-24 11:50:58.345023251 +0200
@@ -141,15 +141,25 @@
class CommunityTests(unittest.TestCase):
def reindexMembership(self, cl):
+ if hasattr(cl, "membership"):
+ cl = cl.membership
idgen = UniqueIdGenerator()
- return [idgen[i] for i in cl.membership]
+ return [idgen[i] for i in cl]
+
+ def assertMembershipsEqual(self, observed, expected):
+ if hasattr(observed, "membership"):
+ observed = observed.membership
+ if hasattr(expected, "membership"):
+ expected = expected.membership
+ self.assertEqual(self.reindexMembership(expected), \
+ self.reindexMembership(observed))
def testClauset(self):
# Two cliques of size 5 with one connecting edge
g = Graph.Full(5) + Graph.Full(5)
g.add_edges([(0, 5)])
cl = g.community_fastgreedy().as_clustering()
- self.assertEqual(cl.membership, [0,0,0,0,0,1,1,1,1,1])
+ self.assertMembershipsEqual(cl, [0,0,0,0,0,1,1,1,1,1])
self.assertAlmostEqual(cl.q, 0.4523, places=3)
# Lollipop, weighted
@@ -157,46 +167,46 @@
g.add_edges([(3,4)])
weights = [1, 1, 1, 1, 1, 1, 10, 10]
cl = g.community_fastgreedy(weights).as_clustering()
- self.assertEqual(cl.membership, [0, 0, 0, 1, 1, 1])
+ self.assertMembershipsEqual(cl, [0,0,0,1,1,1])
self.assertAlmostEqual(cl.q, 0.1708, places=3)
# Same graph, different weights
g.es["weight"] = [3] * g.ecount()
cl = g.community_fastgreedy("weight").as_clustering()
- self.assertEqual(cl.membership, [0, 0, 0, 0, 1, 1])
+ self.assertMembershipsEqual(cl, [0,0,0,0,1,1])
self.assertAlmostEqual(cl.q, 0.1796, places=3)
# Disconnected graph
g = Graph.Full(4) + Graph.Full(4) + Graph.Full(3) + Graph.Full(2)
cl = g.community_fastgreedy().as_clustering()
- self.assertEqual(cl.membership, [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 3, 3])
+ self.assertMembershipsEqual(cl, [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 3, 3])
# Empty graph
g = Graph(20)
cl = g.community_fastgreedy().as_clustering()
- self.assertEqual(cl.membership, range(g.vcount()))
+ self.assertMembershipsEqual(cl, range(g.vcount()))
def testEdgeBetweenness(self):
# Full graph, no weights
g = Graph.Full(5)
cl = g.community_edge_betweenness().as_clustering()
- self.assertEqual(cl.membership, [0]*5)
+ self.assertMembershipsEqual(cl, [0]*5)
# Full graph with weights
g.es["weight"] = 1
g[0,1] = g[1,2] = g[2,0] = g[3,4] = 10
cl = g.community_edge_betweenness(weights="weight").as_clustering()
- self.assertEqual(cl.membership, [0,0,0,1,1])
+ self.assertMembershipsEqual(cl, [0,0,0,1,1])
self.assertAlmostEqual(cl.q, 0.2750, places=3)
def testEigenvector(self):
g = Graph.Full(5) + Graph.Full(5)
g.add_edges([(0, 5)])
cl = g.community_leading_eigenvector()
- self.assertTrue(cl.membership == [0,0,0,0,0,1,1,1,1,1])
+ self.assertMembershipsEqual(cl, [0,0,0,0,0,1,1,1,1,1])
self.assertAlmostEqual(cl.q, 0.4523, places=3)
cl = g.community_leading_eigenvector(2)
- self.assertTrue(cl.membership == [0,0,0,0,0,1,1,1,1,1])
+ self.assertMembershipsEqual(cl, [0,0,0,0,0,1,1,1,1,1])
self.assertAlmostEqual(cl.q, 0.4523, places=3)
def testInfomap(self):
@@ -204,7 +214,7 @@
cl = g.community_infomap()
self.assertAlmostEqual(cl.codelength, 4.60605, places=3)
self.assertAlmostEqual(cl.q, 0.40203, places=3)
- self.assertTrue(cl.membership == [1,1,1,1,2,2,2,1,0,1,2,1,1,1,0,0,2,1,0,1,0,1] + [0]*12)
+ self.assertMembershipsEqual(cl, [1,1,1,1,2,2,2,1,0,1,2,1,1,1,0,0,2,1,0,1,0,1] + [0]*12)
# Smoke testing with vertex and edge weights
v_weights = [random.randint(1, 5) for _ in xrange(g.vcount())]
@@ -223,7 +233,7 @@
g.es["weight"] = [2, 1, 2]
g.vs["initial"] = [0, -1, -1, 1]
cl = g.community_label_propagation("weight", "initial", [1,0,0,1])
- self.assertTrue(cl.membership == [0, 0, 1, 1])
+ self.assertMembershipsEqual(cl, [0,0,1,1])
cl = g.community_label_propagation(initial="initial", fixed=[1,0,0,1])
self.assertTrue(cl.membership == [0, 0, 1, 1] or \
cl.membership == [0, 1, 1, 1] or \
@@ -240,8 +250,8 @@
(10,14), (11,13)]
cls = g.community_multilevel(return_levels=True)
self.assertTrue(len(cls) == 2)
- self.assertTrue(cls[0].membership == [0,0,0,1,0,0,1,1,2,2,2,3,2,3,2,2])
- self.assertTrue(cls[1].membership == [0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1])
+ self.assertMembershipsEqual(cls[0], [1,1,1,0,1,1,0,0,2,2,2,3,2,3,2,2])
+ self.assertMembershipsEqual(cls[1], [0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1])
self.assertAlmostEqual(cls[0].q, 0.346301, places=5)
self.assertAlmostEqual(cls[1].q, 0.392219, places=5)
@@ -251,7 +261,7 @@
cl = g.community_optimal_modularity()
self.assertTrue(len(cl) == 2)
- self.assertTrue(cl.membership == [0, 0, 1, 0, 1])
+ self.assertMembershipsEqual(cl, [0, 0, 1, 0, 1])
self.assertAlmostEqual(cl.q, 0.08, places=7)
ws = [i % 5 for i in xrange(g.ecount())]
@@ -262,7 +272,7 @@
g = Graph.Famous("zachary")
cl = g.community_optimal_modularity()
self.assertTrue(len(cl) == 4)
- self.assertTrue(cl.membership == [0, 0, 0, 0, 1, 1, 1, 0, 2, 2, 1, \
+ self.assertMembershipsEqual(cl, [0, 0, 0, 0, 1, 1, 1, 0, 2, 2, 1, \
0, 0, 0, 2, 2, 1, 0, 2, 0, 2, 0, 2, 3, 3, 3, 2, 3, 3, \
2, 2, 3, 2, 2])
self.assertAlmostEqual(cl.q, 0.4197896, places=7)
@@ -293,9 +303,9 @@
g = Graph.Full(5) + Graph.Full(5) + Graph.Full(5)
g += [(0,5), (5,10), (10, 0)]
cl = g.community_walktrap().as_clustering()
- self.assertTrue(cl.membership == [0,0,0,0,0,1,1,1,1,1,2,2,2,2,2])
+ self.assertMembershipsEqual(cl, [0,0,0,0,0,1,1,1,1,1,2,2,2,2,2])
cl = g.community_walktrap(steps=3).as_clustering()
- self.assertTrue(cl.membership == [0,0,0,0,0,1,1,1,1,1,2,2,2,2,2])
+ self.assertMembershipsEqual(cl, [0,0,0,0,0,1,1,1,1,1,2,2,2,2,2])
class CohesiveBlocksTests(unittest.TestCase):
|
