[Numpy-discussion] numpy.any segfaults for large object arrays
Stéfan van der Walt
stefan@sun.ac...
Mon Mar 24 19:46:35 CDT 2008
Hi Martin
Please file a bug on the trac page: http://projects.scipy.org/scipy/numpy
You may mark memory errors as blockers for the next release.
Confirmed under latest SVN.
Thanks
Stéfan
On Mon, Mar 24, 2008 at 2:05 PM, Martin Manns <mmanns@gmx.net> 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.
>
> Here is the problem:
>
> $ python
> Python 2.5.1 (r251:54863, Jan 26 2008, 01:34:00)
> [GCC 4.1.2 (Gentoo 4.1.2)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import numpy
> >>> numpy.version.version
> '1.0.4'
> >>> numpy.version.release
> True
> >>> small_zero = [0] * 1000
> >>> large_zero = [0] * 1000000
> >>> small_none = [None] * 1000
> >>> large_none = [None] * 1000000
> >>> any(small_zero)
> False
> >>> any(large_zero)
> False
> >>> any(small_none)
> False
> >>> any(large_none)
> False
> >>> any(numpy.array(small_zero))
> False
> >>> any(numpy.array(large_zero))
> False
> >>> any(numpy.array(small_none))
> False
> >>> any(numpy.array(large_none))
> False
> >>> numpy.any(numpy.array(small_zero))
> False
> >>> numpy.any(numpy.array(large_zero))
> False
> >>> numpy.any(numpy.array(small_none))
> False
> >>> numpy.any(numpy.array(large_none))
> Segmentation fault
>
> The segfault occurs for other object arrays as well.
> Any idea how to get around this?
>
> Thanks in advance
>
> Martin
>
> P.S. I tried the bug tracker but my e-mail does not seem to show up.
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