hi gen,
have you tried the compiler designed specifically for the opteron rather
than the intel?
you can download it here:
http://developer.amd.com/acml.jsp
don't know if it will get rid of any of your errors or if it will help
compile scipy, but it may be worth a try anyway.
wb
On 12/5/06, G
> Tom Holroyd wrote:
>> there was no comment.
On Fri, 08 Dec 2006, Robert Kern apparently wrote:
> Yes, there was.
> http://projects.scipy.org/pipermail/numpy-discussion/2006-November/024783.html
>
Also see the previous comment:
http://projects.scipy.org/pipermail/numpy-discussion/2006-N
On 12/8/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
Wei wrote:
>
> Hi,
>
> I just got my new intel core duo laptop. So I downloaded the new
> cygwin (including everything) but couldn't get the numarray or numpy
> modules installed correctly. I always got the following error. Can
> some one he
Wei wrote:
>
> Hi,
>
> I just got my new intel core duo laptop. So I downloaded the new
> cygwin (including everything) but couldn’t get the numarray or numpy
> modules installed correctly. I always got the following error. Can
> some one help?
>
> Many thanks!
>
> Wei
>
> python setup.py instal
Tom Holroyd wrote:
> This is certainly a bug. It has been mentioned before, but there
> was no comment.
Yes, there was.
http://projects.scipy.org/pipermail/numpy-discussion/2006-November/024783.html
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
t
This is certainly a bug. It has been mentioned before, but there
was no comment.
shuffle() doesn't handle arrays.
>>> from numpy import *
>>> from numpy.random import *
>>> a = arange(12)
>>> a.shape = (6,2)
>>> a
array([[ 0, 1],
[ 2, 3],
[ 4, 5],
[ 6, 7],
[ 8
Hi,
I just got my new intel core duo laptop. So I downloaded the new cygwin
(including everything) but couldn't get the numarray or numpy modules
installed correctly. I always got the following error. Can some one help?
Many thanks!
Wei
python setup.py install
Using EXTRA_COMPILE_A
Travis E. Oliphant wrote:
> I correct my previous statement. Yes, this is true. Pickles generated
> with 1.0.1 cannot be read by version 1.0
>
> However, pickles generated with 1.0 can be read by 1.0.1. It is
> typically not the case that pickles created with newer versions of the
> code wil
Emanuele Olivetti wrote:
> I'm running numpy 1.0 and 1.0.1 on several hosts and
> today I've found that pickling arrays in 1.0.1 generates
> problems to 1.0. An example:
I correct my previous statement. Yes, this is true. Pickles generated
with 1.0.1 cannot be read by version 1.0
However, pick
I used numpy 0.9.5 with python 2.4.3 and it fails. So given your input
I tested with python 2.5 and numpy 1.0 and it works for me too. Thanks
I'll just have to convince administrator to upgrade numpy installation
for everyone now :)
Jerome
Charles R Harris wrote:
On 11/23/06, Jerome
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