Thanks all for responses. Continuation below:
2009/4/18 Charles R Harris charlesr.har...@gmail.com:
On Fri, Apr 17, 2009 at 9:25 AM, Dan S dan.s.towell+nu...@gmail.com wrote:
Hi -
I have written a numpy extension which works fine but has a memory
leak. It takes a single array argument and
Dan S wrote:
But as you can see, my C code doesn't perform any malloc() or
suchlike, so I'm stumped.
I'd be grateful for any further thoughts
Could it be your memory leak is in:
return PyFloat_FromDouble(3.1415927); // temporary
You are creating a python float object from something. What if
2009/4/20 V. Armando Solé s...@esrf.fr:
Dan S wrote:
But as you can see, my C code doesn't perform any malloc() or
suchlike, so I'm stumped.
I'd be grateful for any further thoughts
Could it be your memory leak is in:
return PyFloat_FromDouble(3.1415927); // temporary
You are creating a
Hi,
For quite a long time I have been bothered by the very large files
needed for python extensions. In particular for numpy.core, which
consists in a few files which are ~ 1 Mb, I find this a pretty high
barrier of entry for newcomers, and it has quite a big impact on the
code organization.
Hi everybody!
First of all I should say I am a newbie with Python/Scipy. Have been
searching a little bit (google and lists) and haven't found a helpful
answer...so I'm posting.
I'm using Scipy/Numpy to do image wavelet transforms via the lifting scheme.
I grabbed some code implementing the
Hi Ruben,
Ruben Salvador wrote:
Hi everybody!
First of all I should say I am a newbie with Python/Scipy. Have been
searching a little bit (google and lists) and haven't found a helpful
answer...so I'm posting.
I'm using Scipy/Numpy to do image wavelet transforms via the lifting
scheme. I
David Cournapeau wrote:
Hi Ruben,
Ruben Salvador wrote:
Hi everybody!
First of all I should say I am a newbie with Python/Scipy. Have been
searching a little bit (google and lists) and haven't found a helpful
answer...so I'm posting.
I'm using Scipy/Numpy to do image wavelet
David,
I'm confused about your reply. I don't think Ruben was only asking why
you'd ever get non-zero error after the forward and inverse transform,
but why his implementation using lists gives zero error but using
arrays he gets something of order 1e-15.
On Mon, Apr 20, 2009 at 9:47 AM, David
I assume that, because NaN != NaN, even though both have the same hash value
(hash(NaN) == -32768), that Python treats any NaN double as a distinct key
in a dictionary.
In [76]: a = np.repeat(nan, 10)
In [77]: d = {}
In [78]: for i, v in enumerate(a):
: d[v] = i
:
:
In
Rob Clewley wrote:
David,
I'm confused about your reply. I don't think Ruben was only asking why
you'd ever get non-zero error after the forward and inverse transform,
but why his implementation using lists gives zero error but using
arrays he gets something of order 1e-15.
That's more
Hi David
On Mon, Apr 20, 2009 at 6:51 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Hi,
For quite a long time I have been bothered by the very large files
needed for python extensions. In particular for numpy.core, which
consists in a few files which are ~ 1 Mb, I find this a
On Mon, Apr 20, 2009 at 10:48 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Rob Clewley wrote:
David,
I'm confused about your reply. I don't think Ruben was only asking why
you'd ever get non-zero error after the forward and inverse transform,
but why his implementation using
On Mon, Apr 20, 2009 at 9:49 AM, Rob Clewley rob.clew...@gmail.com wrote:
On Mon, Apr 20, 2009 at 10:48 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Rob Clewley wrote:
David,
I'm confused about your reply. I don't think Ruben was only asking why
you'd ever get non-zero
On Tue, Apr 21, 2009 at 12:49 AM, Rob Clewley rob.clew...@gmail.com wrote:
On Mon, Apr 20, 2009 at 10:48 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Rob Clewley wrote:
David,
I'm confused about your reply. I don't think Ruben was only asking why
you'd ever get non-zero error
On Mon, Apr 20, 2009 at 11:42 PM, Wes McKinney wesmck...@gmail.com wrote:
I assume that, because NaN != NaN, even though both have the same hash value
(hash(NaN) == -32768), that Python treats any NaN double as a distinct key
in a dictionary.
I think that strictly speaking, nan should not be
On Mon, Apr 20, 2009 at 12:04 PM, David Cournapeau courn...@gmail.comwrote:
On Tue, Apr 21, 2009 at 12:49 AM, Rob Clewley rob.clew...@gmail.com
wrote:
On Mon, Apr 20, 2009 at 10:48 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Rob Clewley wrote:
David,
I'm confused about
I have a 0d array that looks like this:
myarray = array( 0.1234 )
This generates a TypeError:
myarray[0]
I can get it's number using a hack like this... but it looks kind of
wrong:
myval = myarray + 0.0
There must be a better way to do it, right? All I want is the correct
way to return the
On Mon, Apr 20, 2009 at 12:39, Fadhley Salim
fadhley.sa...@uk.calyon.com wrote:
I have a 0d array that looks like this:
myarray = array( 0.1234 )
This generates a TypeError:
myarray[0]
myarray[()] or myarray.item()
--
Robert Kern
I have come to believe that the whole world is an enigma,
I understand the numerical mathematics behind this very well but my
point is that his two algorithms appear to be identical (same
operations, same order), he simply uses lists in one and arrays in the
other. It's not like he used vectorization or other array-related
operations - he uses for
On Mon, Apr 20, 2009 at 1:47 PM, Matthieu Brucher
matthieu.bruc...@gmail.com wrote:
I understand the numerical mathematics behind this very well but my
point is that his two algorithms appear to be identical (same
operations, same order), he simply uses lists in one and arrays in the
On 2009-04-20, at 10:04 AM, David Cournapeau wrote:
Yes, it is legitimate and healthy to worry about the difference - but
the surprising thing really is the list behavior when you are used to
numerical computation :) And I maintain that the algorithms are not
the same in both operations.
On Mon, Apr 20, 2009 at 9:48 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
Hi David
On Mon, Apr 20, 2009 at 6:51 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Hi,
For quite a long time I have been bothered by the very large files
needed for python extensions. In
Well, thanks everybody for such a quick help!! I just couldn't imagine what
could arise this difference.
1e-15 is enough precision for what I will be doing, but was just curious.
Anyway, this 'deepcopy' really surprised me. I have now looked for it and I
think I get an idea of it, though I
Ruben Salvador wrote:
Anyway, this 'deepcopy' really surprised me. I have now looked for it
and I think I get an idea of it, though I wouldn't expect this
difference in behavior to happen. From my logical point of view a copy
is a copy, and if I find a method called copy() I can only expect
Russell E. Owen wrote:
http://www.pymvpa.org/devguide.html
The patch at the end of this document worked.
Has anyone submitted these patches so they'll get into bdist_mpkg? I'm
guessing Ronald Oussoren would be the person to accept them, but you can
post to the MacPython list to be sure.
David Cournapeau wrote:
Christopher, would you mind trying the following binary ?
http://www.ar.media.kyoto-u.ac.jp/members/david/archives/numpy/scipy-0.7.0-py2.5-macosx10.5.mpkg.tar
That binary seems to be working OK on my PPC 10.4 mac, with no gfortran
installed.
Is it up on the main
Ruben Salvador wrote:
Anyway, this 'deepcopy' really surprised me. I have now looked for it
and I think I get an idea of it, though I wouldn't expect this
difference in behavior to happen. From my logical point of view a
copy is a copy, and if I find a method called copy() I can only expect
Charles R Harris wrote:
Here is a link to the start of the old discussion
http://article.gmane.org/gmane.comp.python.numeric.general/12974/match=exported+symbols+code+reorganization.
You took part in it also.
Thanks, I remembered we had the discussion, but could not find it. The
different
On Mon, Apr 20, 2009 at 10:13 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Charles R Harris wrote:
Here is a link to the start of the old discussion
http://article.gmane.org/gmane.comp.python.numeric.general/12974/match=exported+symbols+code+reorganization
.
You took
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