from setuptools import setup, find_packages
from codecs import open
from os import path

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

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

setup(
    name='Glioma',
    version='1.0.2',

    description="A small library of immutable collections classes, inspired by those in the Scala standard library.",
    long_description='',

    url='https://github.com/Nexus6/Glioma',

    author='<NAME>',
    author_email='',

    license='Apache Software License',
    
    classifiers=[
        'Development Status :: 5 - Production/Stable',
        'Intended Audience :: Developers',
        'Topic :: Software Development :: Libraries :: Python Modules',
        'License :: OSI Approved :: Apache Software License',
        "Operating System :: OS Independent",
        "Programming Language :: Python",
        "Programming Language :: Python :: 2",
        "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",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: Implementation :: CPython",
        "Programming Language :: Python :: Implementation :: PyPy",
    ],

    keywords='Scala functional immutable collections',
    packages=["glioma"],

    # 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={
    #    'sample': ['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'])],

    # 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',
    #    ],
    #},
)

from setuptools import setup, find_packages
from codecs import open
from os import path

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

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

setup(
    name='Glioma',
    version='1.0.2',

    description="A small library of immutable collections classes, inspired by those in the Scala standard library.",
    long_description='',

    url='https://github.com/Nexus6/Glioma',

    author='<NAME>',
    author_email='',

    license='Apache Software License',
    
    classifiers=[
        'Development Status :: 5 - Production/Stable',
        'Intended Audience :: Developers',
        'Topic :: Software Development :: Libraries :: Python Modules',
        'License :: OSI Approved :: Apache Software License',
        "Operating System :: OS Independent",
        "Programming Language :: Python",
        "Programming Language :: Python :: 2",
        "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",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: Implementation :: CPython",
        "Programming Language :: Python :: Implementation :: PyPy",
    ],

    keywords='Scala functional immutable collections',
    packages=["glioma"],

    # 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={
    #    'sample': ['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'])],

    # 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',
    #    ],
    #},
)

# Get the long description from the README file #with open(path.join(here, 'README.md'), encoding='utf-8') as f: #    long_description = f.read() # 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={ #    'sample': ['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'])], # 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', #    ], #},