[Numpy-discussion] Use numpy.distutils to build fortran with BLAS

[Matt Hoffman]

I have some fortran code that I would like to build and make accessible
from python which needs to call a few BLAS routines. Building it in a
one-off manner is not a problem, but I can't seem to find a good way to
distribute it in a way that just works.

So really I'm wondering if there is a "correct" way use numpy.distutils in
order to link against the same BLAS libraries used by numpy. I'll paste my
current approach below, but I'm not sure that this is the
best/most-portable way to do it. (And it certainly breaks on MacOS due to
the weird way that macs use rpath.)

Anyway my setup contains something like:

    from numpy.distutils.core import setup
    from numpy.distutils.system_info import get_info, NotFoundError
    from numpy.distutils.misc_util import Configuration

    sources = ['foo.f']
    extra_info = {}
    extra_link_args = []

    try:
        extra_info = get_info('mkl', 2)
        extra_link_args = ['-Wl,-rpath,'+path for path in
extra_info['library_dirs']],

    except NotFoundError:
        try:
            extra_info = get_info('blas', 2)
            extra_link_args = ['-Wl,-rpath,'+path for path in
extra_info['library_dirs']],

        except NotFoundError:
            # couldn't find anything. just fall back to building the
functions we need ourselves.
            sources += ['ddot.f']

    config = Configuration()
    config.add_extension(
        sources=sources,
        extra_info=extra_info,
        extra_link_args=extra_link_args
        )
    setup(**config.todict())

Thanks!
-matt
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