From 1748d0e1f69451db579274307a2086985adf7d88 Mon Sep 17 00:00:00 2001
From: Gael Varoquaux <gael.varoquaux@normalesup.org>
Date: Wed, 7 Aug 2013 19:46:50 +0200
Subject: [PATCH] TST: avoid a crash in Windows + Anaconda Py3.3
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
---
sklearn/cluster/tests/test_hierarchical.py | 2 ++
1 file changed, 2 insertions(+)
diff --git a/sklearn/cluster/tests/test_hierarchical.py b/sklearn/cluster/tests/test_hierarchical.py
index 2121eef7d4..8c4f06598b 100644
--- 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
--
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