BUG: abs with nan on 64-bit floats on 32-bit platform?

[jreback]

occurs also on 1.10.4

[pandas_test] C:\Miniconda3-32\Scripts>python
Python 2.7.11 |Continuum Analytics, Inc.| (default, Jan 29 2016, 15:36:56) [MSC v.1500 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>> import numpy as np
>>> np.__version__
'1.9.2'
>>> np.abs(np.array([0,np.nan],dtype='float64'))
__main__:1: RuntimeWarning: invalid value encountered in absolute
array([  0.,  nan])
>>>

you are giving a warning, but not sure why are not handling it.

[njsmith]

What's the bug? You expected the same result, but without the warning printed?

[jreback]

doens't show a warning on 64-bit. so the bug is the warning, which seems like its not working.

[pandas2] C:\>python
Python 2.7.11 |Continuum Analytics, Inc.| (default, Jan 29 2016, 14:26:21) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>> import numpy as np
>>> np.__version__
'1.10.4'
>>> np.abs(np.array([0,np.nan],dtype='float64'))
array([  0.,  nan])
>>>

[WarrenWeckesser]

This issue is over five years old and hasn't had any comments since the day it was created. Can anyone reproduce the spurious warning with a recent release of NumPy on a 32-bit Windows platform with a supported version of Python?