On 29 March 2012 09:07, Christoph Gohle christoph.go...@mpq.mpg.de wrote:
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Am 08.03.2012 um 20:39 schrieb Pauli Virtanen:
08.03.2012 17:37, Christoph Gohle kirjoitti:
thanks for testing. I have now tried on different platforms. I get
all kinds
On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
markflorisso...@gmail.com wrote:
Although the segfault was caused by a bug in NumPy, you should
probably also consider using Cython, which can make a lot of this pain
and boring stuff go away.
Is there a good demo/sample somewhere of an ndarray
On 30 March 2012 19:53, Chris Barker chris.bar...@noaa.gov wrote:
On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
markflorisso...@gmail.com wrote:
Although the segfault was caused by a bug in NumPy, you should
probably also consider using Cython, which can make a lot of this pain
and boring
On 30 March 2012 21:38, mark florisson markflorisso...@gmail.com wrote:
On 30 March 2012 19:53, Chris Barker chris.bar...@noaa.gov wrote:
On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
markflorisso...@gmail.com wrote:
Although the segfault was caused by a bug in NumPy, you should
probably
On 30 March 2012 21:40, mark florisson markflorisso...@gmail.com wrote:
On 30 March 2012 21:38, mark florisson markflorisso...@gmail.com wrote:
On 30 March 2012 19:53, Chris Barker chris.bar...@noaa.gov wrote:
On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
markflorisso...@gmail.com wrote:
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Am 08.03.2012 um 20:39 schrieb Pauli Virtanen:
08.03.2012 17:37, Christoph Gohle kirjoitti:
thanks for testing. I have now tried on different platforms. I get
all kinds of crashes on os x (now with numpy 1.6.1) and windows
with numpy 1.6.0. On
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Am 08.03.2012 um 20:39 schrieb Pauli Virtanen:
08.03.2012 17:37, Christoph Gohle kirjoitti:
thanks for testing. I have now tried on different platforms. I get
all kinds of crashes on os x (now with numpy 1.6.1) and windows
with numpy 1.6.0. On
09.03.2012 08:00, Christoph Gohle kirjoitti:
I don't want to look as if I want other people do my work,
so I would like to ask if there is a simple way of tracing
memory leaks (without recompiling the python interpreter)?
The easiest way probably is to compile Numpy with debug symbols on, set
Hi Christoph,
I've just tried
a=[spampub.UnitArray(i,{'s':i}) for i in xrange(1000)]
and everything looks fine on my side.
Probably my test environment is too different to give comparable results:
In [3]: call([uname, -a])
Linux ubuntu 2.6.35-22-generic #33-Ubuntu SMP Sun Sep 19 20:32:27 UTC
Dear Val,
thanks for testing. I have now tried on different platforms. I get all kinds of
crashes on os x (now with numpy 1.6.1) and windows with numpy 1.6.0. On Ubuntu
with numpy 1.3.0 I get a hughe memory leak...
Any hints would be welcome.
Thanks,
Christoph
Am 08.03.2012 um 09:08 schrieb
08.03.2012 17:37, Christoph Gohle kirjoitti:
thanks for testing. I have now tried on different platforms. I get
all kinds of crashes on os x (now with numpy 1.6.1) and windows
with numpy 1.6.0. On Ubuntu with numpy 1.3.0 I get a hughe memory
leak...
Any hints would be welcome.
The type
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Hi
Am 08.03.2012 um 20:39 schrieb Pauli Virtanen:
08.03.2012 17:37, Christoph Gohle kirjoitti:
thanks for testing. I have now tried on different platforms. I get
all kinds of crashes on os x (now with numpy 1.6.1) and windows
with numpy 1.6.0. On
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Hi again,
I don't want to look as if I want other people do my work, so I would like to
ask if there is a simple way of tracing memory leaks (without recompiling the
python interpreter)?
Cheers,
Christoph
Am 09.03.2012 um 01:22 schrieb Christoph
Sure. Check the memcheck tool of Valgrind:
http://valgrind.org/info/tools.html#memcheck
It is a really amazing tool.
Francesc
On Mar 8, 2012, at 11:00 PM, Christoph Gohle wrote:
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Hi again,
I don't want to look as if I want other people do
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Hi,
I have been struggeling for quite some time now. Desperate as I am, now I need
help.
I was trying to subclass ndarrays in a c extension (see code below) and do
constantly get segfaults. I have been checking my INCREF and DECREF stuff up
and
Seeing the backtrace would be helpful.
Can you do whatever leads to the segfault
from python run from gdb?
Val
On Wed, Mar 7, 2012 at 7:04 PM, Christoph Gohle
christoph.go...@mpq.mpg.dewrote:
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Hi,
I have been struggeling for quite some time now.
Tried it on my Ubuntu 10.10 box, no problem:
1) Saved as spampub.c
2) Compiled with (setup.py attached): python setup.py build_ext -i
3) Tested from ipython:
In [1]: import spampub
In [2]: ua=spampub.UnitArray([0,1,2,3.0],'liter')
In [3]: ua
Out[3]: UnitArray([ 0., 1., 2., 3.])
In [4]: ua.unit
FWIW, this crashes on Windows with numpy 1.6.1 but not numpy 1.7-git
debug build.
Christoph Gohlke
On 3/7/2012 5:36 PM, Val Kalatsky wrote:
Tried it on my Ubuntu 10.10 box, no problem:
1) Saved as spampub.c
2) Compiled with (setup.py attached): python setup.py build_ext -i
3) Tested from
Dear Val,
I agree that more detail is needed. Sorry for that it was late yesterday.
I am running Python 2.6.1, numpy development branch
(numpy-2.0.0.dev_20101104-py2.6-macosx-10.6-universal.egg). maybe I should
switch to release?
I compile with your setup.py using 'python setup.py build_ext
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