les by adding the following to setup.cfg:
> [build_ext]
> rpath=
>
> But, this doesn't work for numpy-1.0. Is there another way to do this?
try something like this in your site.cfg:
[atlas]
library_dirs =
include_dirs =
atlas_libs =
Karol
--
written by Karol La
consistencies in the compilers used, i .e. a different one was used for
building the blas libraries by RH and by you for numpy.
Try adding g2c to the list of libraries. There's a comment about it in the
scipy FAQ:
http://www.scipy.org/FAQ#head-26562f0a9e046b53eae17de300fc06408f9c91a8
Karol
-
On Monday 09 of October 2006 20:15, Karol Langner wrote:
> Can someone give me a hint as to where in numpy the AMD and UMFpack
> libraries are used, if at all? I ask, because they have their respective
> sections in site.cfg.example in the trunk.
>
> Karol
One more thing - should
On Saturday 07 of October 2006 20:32, Pauli Virtanen wrote:
> la, 2006-10-07 kello 20:01 +0200, Karol Langner kirjoitti:
> > I still get a floating point exception when running the numpy tests,
> > though. I haven't checked out numpy for some time, so I don't now if it&#
Can someone give me a hint as to where in numpy the AMD and UMFpack libraries
are used, if at all? I ask, because they have their respective sections in
site.cfg.example in the trunk.
Karol
--
written by Karol Langner
pon paź 9 20:13:25 CEST 2006
have WingIDE installed and like it alot! I don't actually use it as my
main ide, but might in the future. Currently I use Kile (the LaTeX front-end
from KDE), but it doesn't have any python-specific features.
Karol
--
written by Karol
On Saturday 07 of October 2006 15:00, Karol Langner wrote:
> > > From: [EMAIL PROTECTED] [mailto:numpy-
> > > [EMAIL PROTECTED] On Behalf Of Karol Langner
> > > Sent: 07 October 2006 14:07
> > > To: NumPy List
> > > Subject: [Numpy-discussion] problem
On Saturday 07 of October 2006 14:20, Albert Strasheim wrote:
> Hello all
>
> > -Original Message-
> > From: [EMAIL PROTECTED] [mailto:numpy-
> > [EMAIL PROTECTED] On Behalf Of Karol Langner
> > Sent: 07 October 2006 14:07
> > To: NumPy List
> >
line 25, in
from numpy.linalg import lapack_lite
ImportError:
/home/langner/apps/python/lib/python2.5/site-packages/numpy/linalg/lapack_lite.so:
undefined symbol: xerbla_
Does anyone know where this comes from?
Cheers,
Karol
--
written by Karol Langner
Sat Oct 7 14:02:46 CEST 2006
---
them. So far my attempts to call PyArray_SimpleNewFromData all result
> in segfaults.
> Anyone have such an example?
>
> --Bill
Have you looked here?
http://numeric.scipy.org/numpydoc/numpy-13.html#pgfId-36640
Karol
--
written by Karol Langner
\
PyArray_MultiplyList(dims.ptr, dims.len)) {
PyErr_SetString(PyExc_TypeError,
"buffer is too small for " \
"requested array");
yte order* ?!
> I thought it was odd that numpy could only tell me the type was "less
> than f4", which I assumed must be shorthand for "less than or equal to
> f4". Makes much more sense now!
>
> --bb
Yep! And there are then four possiblities.
'>'
x27;
Hi,
Looks like I need to upgrade my working version or something...
>>> import numpy as N
>>> N.__version__
'0.9.8'
>>> a=N.arange(10, dtype=N.float32)
>>> a.dtype == N.float32
False
Cheers,
Karol
--
written by Karol Langner
pon lip 24 20:36:05 C
On Monday 24 July 2006 06:47, Sebastian Haase wrote:
> Hi,
> if I have a numpy array 'a'
> and say:
> a.dtype == numpy.float32
>
> Is the result independent of a's byteorder ?
> (That's what I would expect ! Just checking !)
>
> Thanks,
> Sebastian Haase
The condition will always be False, because
On Wednesday 12 July 2006 16:00, Thomas Heller wrote:
> Karol Langner schrieb:
> > On Wednesday 12 July 2006 13:29, Thomas Heller wrote:
> >> Sasha schrieb:
> >> > I had similar hopes when I submited the array interface patch
> >> > <https://sour
used on a common effort, it would be more effecient and probably make
a stronger impression.
I created a page about it at http://scipy.org/BaseArray, and will be adding
more information very soon. Contribution and comments from annyone interested
are very welcome.
I really hope we can get this movi
u informed on my
progress and ask about things that may need concensus (although I'm not sure
which lists will be the most interested in this). Please note that I am still
in the phase of completing the minimal type, so the svn repository does not
contain a working example, yet.
Regards
0, 0],
[0, 1, 1, 1, 0],
[0, 1, 1, 1, 0],
[0, 1, 1, 1, 0],
[0, 0, 0, 0, 0]])
Cheers,
Karol
--
written by Karol Langner
śro cze 14 11:49:35 CEST 2006
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ke((1,2,3),axis=0)
array([[1, 2, 3, 4, 5],
[2, 3, 4, 5, 6],
[3, 4, 5, 6, 7]])
>>> a.take((1,2,3),axis=0).take((2,3),axis=1)
array([[3, 4],
[4, 5],
[5, 6]])
Cheers,
Karol
--
written by Karol Langner
śro cze 14 11:27:33 CEST 2006
___
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