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:
> -BEGIN PGP SIGNED MESSAGE-
> Hash: SHA1
>
> Hi again,
>
> I don't want to look as if I want other peop
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
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 Go
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
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
Hi,
On Tue, Mar 6, 2012 at 8:07 PM, Matthew Brett wrote:
> Hi,
>
> I found this test caused a bus error on current trunk:
>
>
> import numpy as np
>
> from StringIO import StringIO as BytesIO
>
> from numpy.testing import assert_array_equal
>
>
> def test_2d_buf():
> dtt = np.complex64
> a
Hi,
On Wed, Mar 7, 2012 at 4:08 PM, Matthew Brett wrote:
> Hi,
>
> I noticed a casting change running the test suite on our image reader,
> nibabel:
> https://github.com/nipy/nibabel/blob/master/nibabel/tests/test_casting.py
>
> For this script:
>
>
> import numpy as np
>
> Adata = np.zeros((2,
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 typ
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 Va
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
