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