[Numpy-discussion] install, numpy

[René Bastian]

Thanks! Now it work's.

I will see if numpy is faster than numarray for my 
music/audio business.

Le Mardi  4 Janvier 2005 18:24, Chris Barker a écrit :
> René Bastian wrote:
> > I tried "python setup.py install" (Python2.4) in order to get
> > Numeric-23.6
> >
> > /usr/i486-suse-linux/bin/ld: cannot find -llapack
>
> AARRGG!! I can't believe this bug is still there! Who is responsible for
> maintaining the setup.py for Numeric? This has been discussed numerous
> times on this list, does there need to be a bug report officially filed
> somewhere?
>
> Anyway, the problem is that it's looking for lapack libs that you don't
> have. By default, setup.py is supposed to be configured to use only the
> built-in lapack-lite, so it should build anywhere.
>
> I've looked in the setup.py, and found that it's closer, but apparently
> not fixed. I've got lapack on my system, so it's hard for me to test,
> but try making these changes in setup.py:
>
> # delete all but the first one in this list if using your own LAPACK/BLAS
>
> #This looks to be right:
>
> sourcelist = [os.path.join('Src', 'lapack_litemodule.c'),
> #              os.path.join('Src', 'blas_lite.c'),
> #              os.path.join('Src', 'f2c_lite.c'),
> #              os.path.join('Src', 'zlapack_lite.c'),
> #              os.path.join('Src', 'dlapack_lite.c')
>               ]
> # set these to use your own BLAS;
>
> #library_dirs_list = ['/usr/lib/atlas']
> library_dirs_list = []
> #libraries_list = ['lapack', 'cblas', 'f77blas', 'atlas', 'g2c']
>                     # if you also set `use_dotblas` (see below), you'll
> need:
>                     # ['lapack', 'cblas', 'f77blas', 'atlas', 'g2c']
>
> libraries_list = []
>
> # set to true (1), if you also want BLAS optimized
> #matrixmultiply/dot/innerproduct
> #use_dotblas = 1
> use_dotblas = 0
> #include_dirs = ['/usr/include/atlas']  # You may need to set this to
> include_dirs = []
> 
>
>
> Note that some of those may be harmless, even if they don't exist, but
> it won't hurt to get rid of paths you don't have anyway.
>
> Also, if you are doing any linear algebra, you'll get much better
> performance with a native lapack, such as the atlas one, so you may want
> to get that installed, rather than making this fix. search this list for
> lapack and/or atlas, to learn how.
>
> Suse is likely to provide an atlas rpm.
>
> -Chris

-- 
René Bastian
http://www.musiques-rb.org : Musique en Python