sklearn/decomposition/tests/test_fastica.py | 8 4 + 4 - 0 !
1 file changed, 4 insertions(+), 4 deletions(-)

---

sklearn/covariance/tests/test_robust_covariance.py | 2 1 + 1 - 0 !
1 file changed, 1 insertion(+), 1 deletion(-)

 fix: heisentest for robust covariance: seed mincovdet

sklearn/externals/joblib/__init__.py | 3 3 + 0 - 0 !
sklearn/externals/setup.py | 1 0 + 1 - 0 !
sklearn/metrics/pairwise.py | 4 2 + 2 - 0 !
3 files changed, 5 insertions(+), 3 deletions(-)

 use system-wide joblib and do not attempt to install joblib/test

 Relies on DFSG-ed sources with no joblib present

sklearn/feature_extraction/tests/test_text.py | 8 8 + 0 - 0 !
1 file changed, 8 insertions(+)

 [patch] enh do not fail the test reslying on numpy div 0 warnings if
 those are not spit out by numpy in general

$> python -c 'import numpy as np; from platform import platform; print np.__version__, platform(); 1.0 / np.array([0.])'
1.6.2 Linux-3.1.0-1-amd64-x86_64-with-debian-wheezy-sid
-c:1: RuntimeWarning: divide by zero encountered in divide

$> python -c 'import numpy as np; from platform import platform; print np.__version__, platform(); 1.0 / np.array([0.])'
1.4.1 Linux-2.6.32-5-amd64-x86_64-with-debian-6.0.4

(sid)yoh@abel:~$ python -c 'import numpy as np; from platform import platform; print np.__version__, platform(); 1.0 / np.array([0.])'
1.6.2 Linux-2.6.32-armv5tel-with-debian-wheezy-sid