Dear Robert,
indeed, this is the difference ! Thanks ! Seeding numpy with 4357
gives identical sequences...
Giovanni
On 05 Nov 2008, at 19:01, Robert Kern wrote:
> On Wed, Nov 5, 2008 at 08:05, Giovanni Samaey
> <[EMAIL PROTECTED]> wrote:
>>>
>>> Hi,
>&g
>
> Hi,
> how about other seed values ? I thought seed=0, is (often) used to
> mean a "random", i.e. current time or alike, seed value ... !?
Not in this case: I always get the same sequence with seed=0
(different for both implementation, but the same each time I run it.)
I got around it by ins
Hi all,
I have a question concerning the Mersenne Twister random number
generation in numpy: when I seed it with 0, I get a different
sequence of numbers in numpy, compared to GSL.
In numpy:
r = numpy.Random.RandomState(seed=0)
r.uniform(size=5) > array([ 0.5488135 , 0.71518937,
ut your gsl library folder before the system one if you want your
> gsl library to be used.
>
> For the cblas issue, it seems from Google you have to link against a
> CBLAS library as well to use the GSL (for instance blas or atlas
> shoule be enough).
>
> Matthieu
>
>
t;", line 1, in ?
File "dot.py", line 7, in ?
import _dot
ImportError: /data/home/u0038151/lib/libgsl.so.0: undefined symbol:
cblas_ctrmv
Again something different...
Giovanni
On 04 Nov 2008, at 11:46, Giovanni Samaey wrote:
> Hi Matthieu,
>
> thank you for your pro
Hi Matthieu,
thank you for your prompt reply.
On 04 Nov 2008, at 11:24, Matthieu Brucher wrote:
>> # dot extension module
>> _test = Extension("_test",
>>["test_wrap.c",
>> "test.c"],
>>include_dirs = [numpy_include,'/data/home/
>> u003
Dear all,
I am unsure about the correct place to put this question -- If this
isn't the correct list, please let me know which place is more
appropriate.
I am trying to build an extension module in python that calls a C
routine that depends on the GNU Scientific Library.
I am using swig to
