On Tue, 19 Feb 2008 17:10:10 -0600
"Sameer DCosta" <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I'm getting a segfault when using python objects with
>record arrays.
> The code (below) basically assigns a single datetime
>object to a slice
> of a column in the record array and then python
>segfaults as soon as I
> try to access those array values. I'm using the latest
>svn version of
> numpy compiled with gcc 3.4.1 on Solaris (intel). Any
>ideas why this
> is happening? A reference counting problem maybe? Thanks
>for taking a
> look.
>
> Sameer
>
> [EMAIL PROTECTED]:~> gcc --version
> gcc (GCC) 3.4.1
> Copyright (C) 2004 Free Software Foundation, Inc.
> This is free software; see the source for copying
>conditions. There is NO
> warranty; not even for MERCHANTABILITY or FITNESS FOR A
>PARTICULAR PURPOSE.
>
> [EMAIL PROTECTED]:~> uname -a
> SunOS flag 5.10 Generic_118855-15 i86pc i386 i86pc
> [EMAIL PROTECTED]:~> python -V
> Python 2.4.2
> [EMAIL PROTECTED]:~> cat tmp.py
> import datetime
> import numpy as np
>
> print np.__version__
>
> def myfunc(N):
> newrec = np.empty(N, dtype=[('date', '|O4'), ('age',
>int)])
> newrec['date'] = datetime.date(2002,1,1)
> newrec['age'] = 22
>
>
> newrec['date'][1:12] = datetime.date(2003,1,1)
> return newrec.view(np.recarray)
>
>
> if __name__=='__main__':
> newrec = myfunc(29)
> print newrec['date']
>
> [EMAIL PROTECTED]:~> python ~/tmp.py
> 1.0.5.dev4812
> Segmentation Fault (core dumped)
> _______________________________________________
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> Numpy-discussion@scipy.org
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No problem here
python tmp.py
1.0.5.dev4811
[2002-01-01 2003-01-01 2003-01-01 2003-01-01 2003-01-01
2003-01-01
2003-01-01 2003-01-01 2003-01-01 2003-01-01 2003-01-01
2003-01-01
2002-01-01 2002-01-01 2002-01-01 2002-01-01 2002-01-01
2002-01-01
2002-01-01 2002-01-01 2002-01-01 2002-01-01 2002-01-01
2002-01-01
2002-01-01 2002-01-01 2002-01-01 2002-01-01 2002-01-01]
Can you send a backtrace (gdb) ?
Nils
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