Good stuff. I noticed that the Launchpad page says:
I decided not to support dynamic linking against 3rd party dll.
Because of intrinsics windows limitations, it is impossible to do it
in a reliable way without putting too much burden on the maintainer.
I might note that I had problems
Albert Strasheim wrote:
Good stuff. I noticed that the Launchpad page says:
I decided not to support dynamic linking against 3rd party dll.
Because of intrinsics windows limitations, it is impossible to do it
in a reliable way without putting too much burden on the maintainer.
I might note
2008/2/19, David Cournapeau [EMAIL PROTECTED]:
Matthieu Brucher wrote:
If you use an installed ATLAS/MKL/... library, I don't know where is
the problem wit linking with them :|
Atlas is not a problem, because if you know how to build a dll for
ATLAS, you know how to handle environment
Matthieu Brucher wrote:
Now that you provide an installer for Atlas, it may become the same
problem as MKL, can't it ?
It is exactly the same problem, yes. Right now, my installer does not
modify the environment at all (like MKL or ACML, actually), and you have
to do it manually (add PATH,
Matthieu Brucher wrote:
If you use an installed ATLAS/MKL/... library, I don't know where is
the problem wit linking with them :|
Atlas is not a problem, because if you know how to build a dll for
ATLAS, you know how to handle environment variable problems. It is not a
purely technical
Matthieu Brucher wrote:
Yes, that works as long as there are no real dll that were built at
the same time.
Well, I don't see that happening unintentionally. Installed modules have
a directory architecture, so this is not much of an issue, or am I
missing something ?
David
It is exactly the same problem, yes. Right now, my installer does not
modify the environment at all (like MKL or ACML, actually), and you have
to do it manually (add PATH, or put in system32).
Have you tried installing the DLLs to C:\Python2x or to the same
directory as the numpy .pyd? As
Albert Strasheim wrote:
Have you tried installing the DLLs to C:\Python2x or to the same
directory as the numpy .pyd? As far as I know, this should work.
Yes, it does, I think I tried it. But this mean duplicating dll, and
more worrying, filesystem manipulations, which I don't like much
Hello,
On Feb 19, 2008 11:34 AM, David Cournapeau [EMAIL PROTECTED] wrote:
Matthieu Brucher wrote:
Now that you provide an installer for Atlas, it may become the same
problem as MKL, can't it ?
It is exactly the same problem, yes. Right now, my installer does not
modify the
Now that you provide an installer for Atlas, it may become the same
problem as MKL, can't it ?
It is exactly the same problem, yes. Right now, my installer does not
modify the environment at all (like MKL or ACML, actually), and you have
to do it manually (add PATH, or put in system32).
Yes, it does, I think I tried it.
Strange that it worked for you, it didn't for me :|
Matthieu
--
French PhD student
Website : http://matthieu-brucher.developpez.com/
Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
LinkedIn : http://www.linkedin.com/in/matthieubrucher
Does numpy/scipy have a partial_sum and adj_difference function?
partial_sum[i] = \sum_{j=0}^{i} x[j]
adj_diff[i] = x[i] - x[i-1] : i 1, x[i] otherwise
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
A Tuesday 19 February 2008, Neal Becker escrigué:
Does numpy/scipy have a partial_sum and adj_difference function?
partial_sum[i] = \sum_{j=0}^{i} x[j]
adj_diff[i] = x[i] - x[i-1] : i 1, x[i] otherwise
I don't know, but by using views the next should be fairly efficient:
# Partial sum
In
-Original Message-
From: [EMAIL PROTECTED] on behalf of Francesc Altet
Instead of
for i in range(len(a)): ps[i] = a[:i].sum()
use
a.cumsum()
Nadav
Sent: Tue 19-Feb-08 20:59
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] partial_sum/adj_difference?
A
Hi Neal
On Tue, Feb 19, 2008 at 01:38:06PM -0500, Neal Becker wrote:
Does numpy/scipy have a partial_sum and adj_difference function?
partial_sum[i] = \sum_{j=0}^{i} x[j]
numpy.cumsum
Yikes, the docstring contains Blah, blah. I'll fix that
immediately.
adj_diff[i] = x[i] - x[i-1] : i 1,
ti, 2008-02-19 kello 13:38 -0500, Neal Becker kirjoitti:
Does numpy/scipy have a partial_sum and adj_difference function?
partial_sum[i] = \sum_{j=0}^{i} x[j]
adj_diff[i] = x[i] - x[i-1] : i 1, x[i] otherwise
cumsum and diff do something like this:
import numpy
a = [1,2,3,4,5,3,1]
On Feb 19, 2008 11:38 AM, Neal Becker [EMAIL PROTECTED] wrote:
adj_diff[i] = x[i] - x[i-1] : i 1, x[i] otherwise
Well, x[1:] - x[:-1] will give the usual differences. If you need the
leading x[0] prefix the x vector with a 0.
There's also numpy.diff, and the little known numpy.ediff1d
On Feb 19, 2008 12:41 PM, Stefan van der Walt [EMAIL PROTECTED] wrote:
Hi Neal
On Tue, Feb 19, 2008 at 01:38:06PM -0500, Neal Becker wrote:
Does numpy/scipy have a partial_sum and adj_difference function?
partial_sum[i] = \sum_{j=0}^{i} x[j]
numpy.cumsum
Yikes, the docstring contains
On Tue, 19 Feb 2008 13:50:04 -0700
Charles R Harris [EMAIL PROTECTED] wrote:
On Feb 19, 2008 12:41 PM, Stefan van der Walt
[EMAIL PROTECTED] wrote:
Hi Neal
On Tue, Feb 19, 2008 at 01:38:06PM -0500, Neal Becker
wrote:
Does numpy/scipy have a partial_sum and adj_difference
function?
On Tue, Feb 19, 2008 at 01:50:04PM -0700, Charles R Harris wrote:
And here I thought you were going to fix that. Deleting the blahs isn't a
fix, it's a coverup. Now there is no extended documentation at all.
I wouldn't call Blah, blah extended documentation -- in fact, I
would've been rather
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
On Feb 19, 2008 2:20 PM, Stefan van der Walt [EMAIL PROTECTED] wrote:
On Tue, Feb 19, 2008 at 01:50:04PM -0700, Charles R Harris wrote:
And here I thought you were going to fix that. Deleting the blahs
isn't a
fix, it's a coverup. Now there is no extended documentation at all.
I wouldn't
hi
i was calculating eigenvalues and eigenvectors for a covariancematrix
using numpy
adjfaces=matrix(adjarr)
faces_trans=adjfaces.transpose()
covarmat=adjfaces*faces_trans
evalues,evect=eigh(covarmat)
for a sample covarmat like
[[ 1.69365981e+13 , -5.44960784e+12, -9.00346400e+12 ,
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
Yes.
Your first eigenvalue is effectively 0, the values you see are just noise.
Different implementations produce different noise.
As for the signs ot the eigenvector components, which direction is + or - X is
arbitrary. Different implementations follow different conventions as to which
is
Hi,
I would like to know what the UI should be for numscons wrt to
compilation / link flags. This is an issue which has confused many
people with distutils, and something we can fix with numscons. Several
approaches are possible for numscons, but I was wondering about the
preferred
Hi,
The results are OK, they are very close. Your matrix is almost singular, is
badly conditionned, ... But the results are very close is you check them in
a relative way. 3.84433376e-03 or -6.835301757686207E-4 is the same compared
to 2.76980401e+13
Matthieu
2008/2/20, [EMAIL PROTECTED] [EMAIL
27 matches
Mail list logo
