setup.py

#!/usr/bin/env python
# Copyright (c) 2017, Intel Corporation
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from __future__ import division, print_function, absolute_import

MAJOR = 1
MINOR = 0
MICRO = 2
ISRELEASED = False

VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)

CLASSIFIERS = """\
Development Status :: 5 - Production/Stable
Intended Audience :: Science/Research
Intended Audience :: Developers
License :: OSI Approved
Programming Language :: C
Programming Language :: Python
Programming Language :: Python :: 2
Programming Language :: Python :: 2.7
Programming Language :: Python :: 3
Programming Language :: Python :: 3.5
Programming Language :: Python :: 3.6
Programming Language :: Python :: Implementation :: CPython
Topic :: Software Development
Topic :: Scientific/Engineering
Operating System :: Microsoft :: Windows
Operating System :: POSIX
Operating System :: Unix
Operating System :: MacOS
"""

def configuration(parent_package='',top_path=None):
    from numpy.distutils.misc_util import Configuration

    config = Configuration(None, parent_package, top_path)
    config.set_options(ignore_setup_xxx_py=True,
                       assume_default_configuration=True,
                       delegate_options_to_subpackages=True,
                       quiet=True)

    config.add_subpackage('mkl_fft')

    config.version = VERSION

    return config


def setup_package():
    from setuptools import setup
    from numpy.distutils.core import setup
    metadata = dict(
        name = 'mkl_fft',
        maintainer = "Intel Corp.",
        maintainer_email = "scripting@intel.com",
        description = "MKL-based FFT transforms for NumPy arrays",
        long_description = """NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. 1D and ND, complex and real transforms, in-place and not-in-place on single and double precision arrays""",
        url = "http://github.com/IntelPython/mkl_fft",
        author = "Oleksandr Pavlyk",
        download_url = "http://github.com/IntelPython/mkl_fft",
        license = 'BSD',
        classifiers = [_f for _f in CLASSIFIERS.split('\n') if _f],
        platforms = ["Windows", "Linux", "Mac OS-X"],
        test_suite = 'nose.collector',
        python_requires = '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*',
        install_requires = ['numpy', 'cython'],
        configuration = configuration
    )
    setup(**metadata)

    return None

if __name__ == '__main__':
    setup_package()