ndimage._ni_support._normalize_sequence() fails with numpy.int64

[pllim]

Windows 7 64-bit with Anaconda. Traceback in attached screenshot.

>>> import numpy as np
>>> import scipy
>>> scipy.__version__
'0.14.0'
>>> from scipy.ndimage._ni_support import _normalize_sequence
>>> x = np.int64(21)
>>> _normalize_sequence(x, 0)

Might be related to numpy/numpy#2951 ?

[ev-br]

The issue seems to be with non-native numpy integer types not being recognized as six.integer_types:

>>> from scipy.lib.six import integer_types
>>> integer_types
(<type 'int'>, <type 'long'>)
>>> isinstance(np.int64(1), integer_types)
True
>>> isinstance(np.int32(1), integer_types)
False

Meanwhile, this is not numpy/numpy#2951 :

>>> isinstance(np.int32(1), numbers.Integral)
True

This is for python 2.7, numpy 1.9.1 on a 64-bit Ubuntu. On a 32-bit Windows7 Anaconda distribution, it's the revese: np.int32 is OK, but np.int64 is not.

To fix this, we can either add numpy integer types to scipy.lib.six.integer_types or expand https://github.com/scipy/scipy/blob/master/scipy/ndimage/_ni_support.py#L60
to something like:

if isinstance(input, integer_types + (float,)) or np.issubdtype(np.asarray(intput).dtype, np.integer):

(as per http://stackoverflow.com/questions/22471644/how-do-i-check-if-a-numpy-dtype-is-integral).

[ev-br]

Fixed in #5444, closing.