setup.py

"""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__))

setup(
    name='HPCJobConfigurator',

    # 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='1.0.0',
    
    description='A High-Performance Job Configurator or  also a fancy String Replacement Engine :-)',
    long_description="see https://github.com/gabyx/HPCJobConfigurator",

    # The project's main homepage.
    url="https://github.com/gabyx/HPCJobConfigurator",

    # Author details
    author='Gabriel Nützi',
    author_email='---',

    # Choose your license
    license='MPL-2.0',

    # 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 :: 5 - Production/Stable',

        # 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 :: MPL 2.0 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',
        'Programming Language :: Python :: 3.3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
    ],

    # What does your project relate to?
    keywords='highperformance computing, job system, batch jobs, job configuration',

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

    # Alternatively, if you want to distribute just a my_module.py, uncomment
    # this:
    #   py_modules=["my_module"],

    # 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=['lxml>=3.4.4',
                      'glob2>=0.4.1',
                      'jsonpickle>=0.9.3',
                      'demjson>=2.2.4',
                      'attrdict>=2.0.0',
                      'colorama>=0.3.2',
                      'configargparse>=0.10.0'],

    # 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'],
    },

    # 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={
        'examples': ['*'],
    },


    # 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': [
            #'sample=sample:main',
        #],
    },
)