python package file

"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path

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


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


setup(
    name='akkefa',

    # 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='1.0',

    description='Akkefa Machine Learning package',

    long_description=readme(),

    # 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 :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.5',
    ],

    keywords='akkefa machine learning deep learning',

    url='https://github.com/akkefa',

    author='Ikram Ali',

    author_email='[email protected]',

    license='MIT',

    packages=find_packages(include=['akkefa']),

    # 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=[
        'numpy',
        'matplotlib',
        'tensorflow',
        'pandas',
        'nose',
        'simplejson'
    ],

    test_suite='nose.collector',

    tests_require=['nose', ],

    entry_points={
        'console_scripts': ['akkefa=akkefa.command_line:main'],
    },

    include_package_data=True,

    zip_safe=False
)