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TST: xfail matmul under numpy < 1.12 #20567

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Mar 31, 2018
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2 changes: 1 addition & 1 deletion pandas/tests/extension/base/methods.py
Original file line number Diff line number Diff line change
Expand Up @@ -90,7 +90,7 @@ def test_factorize(self, data_for_grouping, na_sentinel):
na_sentinel=na_sentinel)
expected_labels = np.array([0, 0, na_sentinel,
na_sentinel, 1, 1, 0, 2],
dtype='int64')
dtype=np.intp)
expected_uniques = data_for_grouping.take([0, 4, 7])

tm.assert_numpy_array_equal(labels, expected_labels)
Expand Down
5 changes: 4 additions & 1 deletion pandas/tests/frame/test_analytics.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@
from pandas.compat import lrange, product, PY35
from pandas import (compat, isna, notna, DataFrame, Series,
MultiIndex, date_range, Timestamp, Categorical,
_np_version_under1p15)
_np_version_under1p12, _np_version_under1p15)
import pandas as pd
import pandas.core.nanops as nanops
import pandas.core.algorithms as algorithms
Expand Down Expand Up @@ -2146,6 +2146,9 @@ def test_dot(self):

@pytest.mark.skipif(not PY35,
reason='matmul supported for Python>=3.5')
@pytest.mark.xfail(
_np_version_under1p12,
reason="unpredictable return types under numpy < 1.12")
def test_matmul(self):
# matmul test is for GH #10259
a = DataFrame(np.random.randn(3, 4), index=['a', 'b', 'c'],
Expand Down