I have come across this strange behaviour of NumPy 1.0.1 under a 64 bit AMD Opteron:
>>> import numpy
>>> numpy.__version__
'1.0.1'
>>> numpy.dtype(int).type
<type 'numpy.int64'>
>>> numpy.dtype(int).type is numpy.int64
True
>>> numpy.dtype('int64').type
<type 'numpy.int64'>
>>> numpy.dtype('int64').type is numpy.int64
True
>>> numpy.dtype(long).type
<type 'numpy.int64'>
>>> numpy.dtype(long).type is numpy.int64 # strange, but ok
False
>>> issubclass(numpy.dtype(long).type, numpy.int64) # what?
False
I.e. the NumPy type used for ``long`` is not the same than for ``int``
or explicit ``'int64'``, not even an instance. Is this a bug or is this
kind of type comparisons discouraged? Thanks!
::
Ivan Vilata i Balaguer >qo< http://www.carabos.com/
Cárabos Coop. V. V V Enjoy Data
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