TST: avoid a crash in Windows + Anaconda Py3.3

GaelVaroquaux · GaelVaroquaux · commit 1748d0e1f694 · 2013-08-07T19:52:14.000+02:00
The crash is due to a numpy bug in np.load, that is called by joblib
caching. We work around it by avoiding the call to np.load
diff --git a/sklearn/cluster/tests/test_hierarchical.py b/sklearn/cluster/tests/test_hierarchical.py
@@ -87,6 +87,8 @@ def test_ward_clustering():
     clustering.fit(X)
     labels = clustering.labels_
     assert_true(np.size(np.unique(labels)) == 10)
+    # Turn caching off now
+    clustering = Ward(n_clusters=10, connectivity=connectivity)
     # Check that we obtain the same solution with early-stopping of the
     # tree building
     clustering.compute_full_tree = False
