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| author | John Kirkham <kirkhamj@janelia.hhmi.org> | 2016-01-15 16:12:20 -0500 |
|---|---|---|
| committer | John Kirkham <kirkhamj@janelia.hhmi.org> | 2016-01-15 16:12:20 -0500 |
| commit | 852eabaa98962d4eb203e1eb2e4d6468cb20ecd0 (patch) | |
| tree | df573a99fd2a13826c398ef5e206ac7d4e475528 /numpy/lib/tests | |
| parent | 2f7e491aeeb77fb9d40c9108e57922b876077c3c (diff) | |
| download | numpy-852eabaa98962d4eb203e1eb2e4d6468cb20ecd0.tar.gz | |
TEST: Ignore `FutureWarning` if raised from running masked array operations.
Diffstat (limited to 'numpy/lib/tests')
| -rw-r--r-- | numpy/lib/tests/test_nanfunctions.py | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/numpy/lib/tests/test_nanfunctions.py b/numpy/lib/tests/test_nanfunctions.py index 7a7b37b98..dafc194eb 100644 --- a/numpy/lib/tests/test_nanfunctions.py +++ b/numpy/lib/tests/test_nanfunctions.py @@ -539,6 +539,7 @@ class TestNanFunctions_Median(TestCase): for axis in [None, 0, 1]: with warnings.catch_warnings(record=True) as w: warnings.simplefilter('always') + warnings.simplefilter('ignore', FutureWarning) assert_(np.isnan(np.nanmedian(mat, axis=axis)).all()) if axis is None: assert_(len(w) == 1) |