flownetpy/setup.py at master · debsankha/flownetpy · GitHub

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"""A setuptools based setup module.

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

# 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__))


# automated versioning:
def version2str(version):
    if version.exact or not version.distance > 0:
        return version.format_with('{tag}')
    else:
        distance = version.distance
        version = str(version.tag)
        if '.dev' in version:
            version, tail = version.rsplit('.dev', 1)
            assert tail == '0', 'own dev numbers are unsupported'
        return '{}.post0.dev{}'.format(version, distance)


def local_version2str(version):
    if version.exact:
        if version.dirty:
            return version.format_with('+dirty')
        else:
            return ''
    else:
        if version.dirty:
            return version.format_with('+{node}.dirty')
        else:
            return version.format_with('+{node}')


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

setup(
    name='flownetpy',

    # 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

    description='A package to simulate flow networks',
    long_description=long_description,

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

    # Author details
    author='Debsankha Manik',
    author_email='dmanik@nld.ds.mpg.de',

    # Choose your license
    license='GPLv3',

    # 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 :: Science/Research',
        'Topic :: Scientific/Engineering :: Physics',

        # Pick your license as you wish (should match "license" above)
        'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',

        # 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 :: 2.6',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.2',
        'Programming Language :: Python :: 3.3',
        'Programming Language :: Python :: 3.4',
    ],

    # What does your project relate to?
    keywords=['network science', 'graph theory', 'flow networks'],

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    packages=find_packages(exclude=['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=['networkx', 'scipy', 'networkx'],

    # 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={
        'test': ['nose', 'hypothesis'],
    },

    setup_requires=['setuptools_scm'],

    use_scm_version=True,
    # 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.

    # 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'

    # 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.
)