Hi,
After more investigation, I found that there already exist a way to
suppress those message on posix system. So I reused it in the PR. That
way, it was faster, but prevent change in that area. So there is less
change of breaking other syste:
https://github.com/numpy/numpy/pull/4081
But it remove the stdout when we run this command:
numpy.distutils.system_info.get_info("blas_opt")
But during compilation, we still have the info about what is found:
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
customize Gnu95FCompiler
Found executable /usr/bin/gfortran
customize Gnu95FCompiler
customize Gnu95FCompiler using config
compiling '_configtest.c':
/* This file is generated from numpy/distutils/system_info.py */
void ATL_buildinfo(void);
int main(void) {
ATL_buildinfo();
return 0;
}
C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -O2 -fPIC
compile options: '-c'
gcc: _configtest.c
gcc -pthread _configtest.o -L/usr/lib64/atlas -lptf77blas -lptcblas
-latlas -o _configtest
success!
removing: _configtest.c _configtest.o _configtest
Setting PTATLAS=ATLAS
FOUND:
libraries = ['ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib64/atlas']
language = c
define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')]
include_dirs = ['/usr/include']
FOUND:
libraries = ['ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib64/atlas']
language = c
define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')]
include_dirs = ['/usr/include']
non-existing path in 'numpy/lib': 'benchmarks'
lapack_opt_info:
lapack_mkl_info:
mkl_info:
libraries mkl,vml,guide not found in
['/opt/lisa/os_v2/common/Canopy_64bit/User/lib', '/usr/local/lib64',
'/usr/local/lib', '/usr/lib64', '/usr/lib']
NOT AVAILABLE
NOT AVAILABLE
atlas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in
/opt/lisa/os_v2/common/Canopy_64bit/User/lib
libraries lapack_atlas not found in
/opt/lisa/os_v2/common/Canopy_64bit/User/lib
libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib64
libraries lapack_atlas not found in /usr/local/lib64
libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib64/atlas
numpy.distutils.system_info.atlas_threads_info
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
FOUND:
libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib64/atlas']
language = f77
define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')]
include_dirs = ['/usr/include']
FOUND:
libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib64/atlas']
language = f77
define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')]
include_dirs = ['/usr/include']
Frédéric
On Fri, Nov 22, 2013 at 4:26 PM, Frédéric Bastien <nouiz@nouiz.org> wrote:
> I didn't forgot this, but I got side tracked. Here is the Theano code
> I would like to try to use to replace os.system:
>
> https://github.com/Theano/Theano/blob/master/theano/misc/windows.py
>
> But I won't be able to try this before next week.
>
> Fred
>
> On Fri, Nov 15, 2013 at 5:49 PM, David Cournapeau <cournape@gmail.com> wrote:
>>
>>
>>
>> On Fri, Nov 15, 2013 at 7:41 PM, Robert Kern <robert.kern@gmail.com> wrote:
>>>
>>> On Fri, Nov 15, 2013 at 7:28 PM, David Cournapeau <cournape@gmail.com>
>>> wrote:
>>> >
>>> > On Fri, Nov 15, 2013 at 6:21 PM, Charles R Harris
>>> > <charlesr.harris@gmail.com> wrote:
>>>
>>> >> Sure, give it a shot. Looks like subprocess.Popen was intended to
>>> >> replace os.system in any case.
>>> >
>>> > Except that output is not 'real time' with straight Popen, and doing so
>>> > reliably on every platform (cough - windows - cough) is not completely
>>> > trivial. You also have to handle buffered output, etc... That code is very
>>> > fragile, so this would be quite a lot of testing to change, and I am not
>>> > sure it worths it.
>>>
>>> It doesn't have to be "real time". Just use .communicate() and print out
>>> the stdout and stderr to their appropriate streams after the subprocess
>>> finishes.
>>
>>
>> Indeed, it does not have to be, but that's useful for debugging compilation
>> issues (not so much for numpy itself, but for some packages which have files
>> that takes a very long time to build, like scipy.sparsetools or bottleneck).
>>
>> That's a minor point compared to the potential issues when building on
>> windows, though.
>>
>> David
>>
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion@scipy.org
>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>
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