A Wednesday 01 April 2009, Greg Novak escrigué:
> Hello,
> I'd like to do an FFT of a moderately large 3D cube, 1024^3. Looking
> at the run-time of smaller arrays, this is not a problem in terms of
> compute time, but the array doesn't fit in memory. So, several
> questions:
>
> 1) Numerical Rec
Christopher Barker wrote:
>
> I'm not surprised it took that long -- that sounds short to me!
>
> Anyway, If there are new python builds that are 64-bit (quad?) you wont'
> have to change much -- "only" make sure that the libs you are linking to
> are 64 bit. I suppose you could try to get a quad
Hi all
Students interested in working on NumPy or SciPy for GSoC2009, please
note that the deadline for proposals is the 3rd of April.
http://socghop.appspot.com/document/show/program/google/gsoc2009/userguide#depth_studentapply
Let's keep those applications coming!
Cheers
Stéfan
__
Christopher Barker wrote:
> Anyway, If there are new python builds that are 64-bit (quad?) you wont'
> have to change much -- "only" make sure that the libs you are linking to
> are 64 bit. I suppose you could try to get a quad-universal gfortran.a
> now,
Actually, it looks like the binary at:
David Cournapeau wrote:
> Christopher Barker wrote:
>> It does, but we don't need a binary installer for a python that doesn't
>> have a binary installer.
>
> Yes, not now - but I would prefer avoiding to have to change the process
> again when time comes. It may not look like it, but enabling a
On Wed, Apr 1, 2009 at 4:40 PM, Pauli Virtanen wrote:
> Wed, 01 Apr 2009 11:48:59 -0400, Darren Dale wrote:
> > This morning I upgraded to sphinx-0.6.1, hoping to take advantage of all
> > the recent work that has been done to clean up and consolidate the web
> > of sphinx extensions. I'm seeing
Wed, 01 Apr 2009 11:48:59 -0400, Darren Dale wrote:
> This morning I upgraded to sphinx-0.6.1, hoping to take advantage of all
> the recent work that has been done to clean up and consolidate the web
> of sphinx extensions. I'm seeing segfaults when I try to build my own
> docs, or the h5py docs. I
Greg Novak wrote:
> This last issue leads to another series of things that puzzle me. I
> have an iMac running OS X 10.5 with an Intel Core 2 duo processor and
> 4 GB of memory. As far as I've learned, the processor is 64 bit, the
> operating system is 64 bit, so I should be able to happily memor
Hi,
In any case, the OS will have to swap a lot of your data :
- if you use floats (32bits), you use 4GB for your input array
- this does not fit inside your memory
- it even fit less if you count on the fact that FFT needs a least one
array as large, so at least 8 GB.
So you should, in every cas
On Wed, Apr 1, 2009 at 9:26 AM, David Cournapeau <
da...@ar.media.kyoto-u.ac.jp> wrote:
> Greg Novak wrote:
> > 1) Numerical Recipes has an out-of-memory FFT algorithm, but looking
> > through the numpy and scipy docs and modules, I didn't find a function
> > that does the same thing. Did I miss
On Mar 30, 2009, at 2:56 AM, David Cournapeau wrote:
> On Mon, Mar 30, 2009 at 3:36 AM, Robert Pyle
> wrote:
>
>>
>> I just installed 2.5.4 from python.org, and the OS X installer still
>> doesn't work. This is on a PPC G5; I haven't tried it on my Intel
>> MacBook Pro.
>
> I think I got it.
I have this configuration:
numpy 1.3.0 rc1
Solaris 10
Python 2.5.4 compiled as a 64 bit executable
When I try to install numpy, it says:
C compiler: cc -DNDEBUG -O -xarch=native64 -xcode=pic32
compile options: '-Inumpy/core/src -Inumpy/core/include
-I/usr/stsci/Python-2.5.4/include/python2.5 -
On Wed, Apr 1, 2009 at 12:26 PM, Pierre GM wrote:
>
> On Apr 1, 2009, at 11:57 AM, David Cournapeau wrote:
> >>
> >> preparing documents... done
> >> Exception occurred: 0%] contents
> >> File "/usr/lib64/python2.6/site-packages/docutils/nodes.py", line
> >> 471, in __getitem__
> >>return s
On Apr 1, 2009, at 11:57 AM, David Cournapeau wrote:
>>
>> preparing documents... done
>> Exception occurred: 0%] contents
>> File "/usr/lib64/python2.6/site-packages/docutils/nodes.py", line
>> 471, in __getitem__
>>return self.attributes[key]
>> KeyError: 'entries'
>> The full traceback ha
Darren Dale wrote:
>
> Do you mean to delete my doc/build directory and run "make html"? I've
> already tried that.
Yes, I meant that, and no, I don't have other suggestion :(
David
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On Wed, Apr 1, 2009 at 11:57 AM, David Cournapeau <
da...@ar.media.kyoto-u.ac.jp> wrote:
> Darren Dale wrote:
> > This morning I upgraded to sphinx-0.6.1, hoping to take advantage of
> > all the recent work that has been done to clean up and consolidate the
> > web of sphinx extensions. I'm seeing
2009/4/2 Darren Dale :
> In setup.py, svn_revision(), there is a line:
>
> log.warn("unrecognized .svn/entries format; skipping %s", base)
>
> log is not defined in setup.py. I'm using svn-1.6.
Damn - this should be fixed in r6830. Maybe I should have stayed with
my solution instead of using setup
Darren Dale wrote:
> This morning I upgraded to sphinx-0.6.1, hoping to take advantage of
> all the recent work that has been done to clean up and consolidate the
> web of sphinx extensions. I'm seeing segfaults when I try to build my
> own docs, or the h5py docs.
Segfaults ? In sphinx or numpy re
I tried, failed, and "downgraded" to 0.5.2 (and eventually succeeded).
Nadav.
-הודעה מקורית-
מאת: numpy-discussion-boun...@scipy.org בשם Darren Dale
נשלח: ד 01-אפריל-09 17:48
אל: Discussion of Numerical Python
נושא: [Numpy-discussion] trouble building docs with sphinx-0.6.1
This morn
Hi,
> 1) Numerical Recipes has an out-of-memory FFT algorithm, but looking
> through the numpy and scipy docs and modules, I didn't find a function
> that does the same thing. Did I miss it? Should I get to work typing
> it in?
No please don't do that; I'm afraid the Numerical Recipes book has
This morning I upgraded to sphinx-0.6.1, hoping to take advantage of all the
recent work that has been done to clean up and consolidate the web of sphinx
extensions. I'm seeing segfaults when I try to build my own docs, or the
h5py docs. I tried building the numpy documentation after applying the
a
Greg Novak wrote:
> 1) Numerical Recipes has an out-of-memory FFT algorithm, but looking
> through the numpy and scipy docs and modules, I didn't find a function
> that does the same thing. Did I miss it?
I don't think so.
> Should I get to work typing
> it in?
>
Maybe :)
> 2) I had high
In setup.py, svn_revision(), there is a line:
log.warn("unrecognized .svn/entries format; skipping %s", base)
log is not defined in setup.py. I'm using svn-1.6.
Darren
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Hello,
I'd like to do an FFT of a moderately large 3D cube, 1024^3. Looking
at the run-time of smaller arrays, this is not a problem in terms of
compute time, but the array doesn't fit in memory. So, several
questions:
1) Numerical Recipes has an out-of-memory FFT algorithm, but looking
through
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