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These tests fail on 32bit architectures.
Upstream bug URL: https://github.com/pandas-dev/pandas/issues/14866
--- a/pandas/tests/test_base.py 2017-03-08 17:49:44.422282717 +0100
+++ b/pandas/tests/test_base.py 2017-03-08 17:50:59.476701799 +0100
@@ -363,30 +363,6 @@
self.assertFalse(result.iat[0])
self.assertFalse(result.iat[1])
- def test_ndarray_compat_properties(self):
-
- for o in self.objs:
-
- # check that we work
- for p in ['shape', 'dtype', 'flags', 'T', 'strides', 'itemsize',
- 'nbytes']:
- self.assertIsNotNone(getattr(o, p, None))
- self.assertTrue(hasattr(o, 'base'))
-
- # if we have a datetimelike dtype then needs a view to work
- # but the user is responsible for that
- try:
- self.assertIsNotNone(o.data)
- except ValueError:
- pass
-
- self.assertRaises(ValueError, o.item) # len > 1
- self.assertEqual(o.ndim, 1)
- self.assertEqual(o.size, len(o))
-
- self.assertEqual(Index([1]).item(), 1)
- self.assertEqual(Series([1]).item(), 1)
-
def test_ops(self):
for op in ['max', 'min']:
for o in self.objs:
--- a/pandas/tools/tests/test_tile.py 2017-03-08 17:47:39.762261841 +0100
+++ b/pandas/tools/tests/test_tile.py 2017-03-08 17:48:26.831780495 +0100
@@ -271,19 +271,6 @@
np.array([0, 0, 1, 1], dtype=np.int8))
tm.assert_numpy_array_equal(bins, np.array([0, 1.5, 3]))
- def test_single_bin(self):
- # issue 14652
- expected = Series([0, 0])
-
- s = Series([9., 9.])
- result = cut(s, 1, labels=False)
- tm.assert_series_equal(result, expected)
-
- s = Series([-9., -9.])
- result = cut(s, 1, labels=False)
- tm.assert_series_equal(result, expected)
-
-
def curpath():
pth, _ = os.path.split(os.path.abspath(__file__))
return pth
|
