New errors in nosetests

[gerigk]

ERROR: test_index_astype_datetime64 (pandas.tseries.tests.test_timeseries.TestTimeSeries)
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Traceback (most recent call last):
  File "/home/hadoop/pandas/pandas/tseries/tests/test_timeseries.py", line 402, in test_index_astype_datetime64
    casted = idx.astype(np.dtype('M8[D]'))
  File "/home/hadoop/pandas/pandas/core/index.py", line 126, in astype
    return Index(self.values.astype(dtype), name=self.name,
TypeError: Cannot cast datetime.datetime object from metadata [us] to [D] according to the rule 'same_kind'

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ERROR: test_operators_date (pandas.tests.test_series.TestSeries)
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Traceback (most recent call last):
  File "/home/hadoop/pandas/pandas/tests/test_series.py", line 1485, in test_operators_date
    result = self.objSeries + timedelta(1)
  File "/home/hadoop/pandas/pandas/core/series.py", line 85, in wrapper
    return Series(na_op(self.values, other),
  File "/home/hadoop/pandas/pandas/core/series.py", line 61, in na_op
    result[mask] = op(x[mask], y)
TypeError: unsupported operand type(s) for +: 'long' and 'datetime.timedelta'

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FAIL: test_from_json_to_json (pandas.tests.test_series.TestSeries)
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Traceback (most recent call last):
  File "/home/hadoop/pandas/pandas/tests/test_series.py", line 377, in test_from_json_to_json
    _check_all_orients(objSeries)
  File "/home/hadoop/pandas/pandas/tests/test_series.py", line 357, in _check_all_orients
    _check_orient(series, "columns", dtype=dtype)
  File "/home/hadoop/pandas/pandas/tests/test_series.py", line 350, in _check_orient
    assert_series_equal(series, unser)
  File "/home/hadoop/pandas/pandas/util/testing.py", line 126, in assert_series_equal
    assert_almost_equal(left.values, right.values)
  File "/home/hadoop/pandas/pandas/util/testing.py", line 87, in assert_almost_equal
    assert_almost_equal(a[i], b[i])
  File "/home/hadoop/pandas/pandas/util/testing.py", line 77, in assert_almost_equal
    assert a == b, (a, b)
AssertionError: ('958435200000000000', 9.584352e+17)

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Ran 2047 tests in 52.125s

[wesm]

Got this sorted out, passing cleanly on both NumPy 1.6 and 1.7 again