[Numpy-discussion] numpy.any segfaults for large object arrays

Martin Manns mmanns@gmx....
Mon Mar 24 12:15:39 CDT 2008


> On 24 Mar 2008, at 14:05, Martin Manns wrote:
> 
> > Hello,
> >
> > I am encountering a problem (a bug?) with the numpy any function.
> > Since the python any function behaves in a slightly different way,
> > I would like to keep using numpy's.
> >
> I cannot confirm the problem on my intel macbook pro using the same  
> Python and Numpy versions. Although any(numpy.array(large_none)) takes  
> a significantly longer time than any(numpy.array(large_zero)), the  
> former does not segfault on my machine.

I tested it on a Debian box (again Numpy 1.0.4) and was able to reproduce the problem:

~$ python
Python 2.4.5 (#2, Mar 12 2008, 00:15:51) 
[GCC 4.2.3 (Debian 4.2.3-2)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> numpy.version.version
'1.0.4'
>>> large_none = [None] * 1000000
>>> numpy.any(numpy.array(large_none))
Segmentation fault
~$ python2.5
Python 2.5.2a0 (r251:54863, Feb 10 2008, 01:31:28) 
[GCC 4.2.3 (Debian 4.2.3-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> large_none = [None] * 1000000
>>> numpy.any(numpy.array(large_none))
Segmentation fault

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