2 tests failures on 32bit:  test_searchsorted_sorter and test_sparse_max_row
While building a fresh snapshot (6c692ae) for debians ran into the following consistent one on debian stable and testing (built fine on 64bit, but failed in 32bit userspace):

```
======================================================================
ERROR: test_searchsorted_sorter (pandas.tests.series.test_analytics.TestSeriesAnalytics)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/build/pandas-0.18.0+git114-g6c692ae/debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/series/test_analytics.py", line 1331, in test_searchsorted_sorter
    r = s.searchsorted([0, 3], sorter=np.argsort(s))
  File "/build/pandas-0.18.0+git114-g6c692ae/debian/tmp/usr/lib/python2.7/dist-packages/pandas/core/series.py", line 1488, in searchsorted
    side=side, sorter=sorter)
ValueError: could not parse sorter argument

======================================================================
FAIL: test_sparse_max_row (pandas.tests.formats.test_format.TestSeriesFormatting)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/build/pandas-0.18.0+git114-g6c692ae/debian/tmp/usr/lib/python2.7/dist-packages/pandas/tests/formats/test_format.py", line 3724, in test_sparse_max_row
    self.assertEqual(result, exp)
AssertionError: '0    1.0\n1    NaN\n2    NaN\n3    3.0\n4    NaN\ndtype: float64\nBlockIndex\nBlock locations: array([0, 3])\nBlock lengths: array([1, 1])' != '0    1.0\n1    NaN\n2    NaN\n3    3.0\n4    NaN\ndtype: float64\nBlockIndex\nBlock locations: array([0, 3], dtype=int32)\nBlock lengths: array([1, 1], dtype=int32)'
```

I will replicate in interactive env atm, but thought that may be you have dealt with it already or smth so I wouldn't ;-)
