setup.py

"""A setuptools based setup module.

See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""

import setuptools as st
from codecs import open
from os import path


here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
    long_description = f.read()

st.setup(
    name='nara_wpe',

    # Versions should comply with PEP440.  For a discussion on single-sourcing
    # the version across setup.py and the project code, see
    # https://packaging.python.org/en/latest/single_source_version.html
    version='0.0.7',

    description='Weighted Prediction Error for speech dereverberation',
    long_description=long_description,

    # The project's main homepage.
    url='https://github.com/fgnt/nara_wpe',

    # Author details
    author='Lukas Drude',
    author_email='drude@nt.upb.de',

    # Choose your license
    license='MIT',

    # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
    classifiers=[
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 3 - Alpha',

        # Indicate who your project is intended for
        'Intended Audience :: Developers',
        'Topic :: Software Development :: Build Tools',

        # Pick your license as you wish (should match "license" above)
        'License :: OSI Approved :: MIT License',

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        'Programming Language :: Python :: 3.6',
    ],

    # What does your project relate to?
    keywords='speech',

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    packages=st.find_packages(exclude=['contrib', 'docs', 'tests*']),

    # List run-time dependencies here.  These will be installed by pip when
    # your project is installed. For an analysis of "install_requires" vs pip's
    # requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    install_requires=[
        'pathlib2;python_version<"3.0"',
        'numpy',
        'tqdm',
        'soundfile',
        'bottleneck',
        'click'
    ],

    # List additional groups of dependencies here (e.g. development
    # dependencies). You can install these using the following syntax,
    # for example:
    # $ pip install -e .[dev,test]
    extras_require={
        'dev': ['check-manifest'],
        'test': ['coverage', 'jupyter', 'matplotlib'],
    },

    # If there are data files included in your packages that need to be
    # installed, specify them here.  If using Python 2.6 or less, then these
    # have to be included in MANIFEST.in as well.
    # package_data={
    #     'nt_feature_extraction': ['package_data.dat'],
    # },

    # Although 'package_data' is the preferred approach, in some case you may
    # need to place data files outside of your packages. See:
    # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
    # data_files=[('my_data', ['data/data_file'])],

    # https://stackoverflow.com/questions/2379898/make-distutils-look-for-numpy-header-files-in-the-correct-place
    # include_dirs = [np.get_include()],

    # To provide executable scripts, use entry points in preference to the
    # "scripts" keyword. Entry points provide cross-platform support and allow
    # pip to create the appropriate form of executable for the target platform.
    # entry_points={
    #     'console_scripts': [
    #         'nt_feature_extraction=nt_feature_extraction:main',
    #     ],
    # },
)