setup.py

from setuptools import setup, find_packages
import codecs
import os
import re

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


def find_version(*file_paths):
    # Open in Latin-1 so that we avoid encoding errors.
    # Use codecs.open for Python 2 compatibility
    with codecs.open(os.path.join(here, *file_paths), 'r', 'latin1') as f:
        version_file = f.read()

    # The version line must have the form
    # __version__ = 'ver'
    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
                              version_file, re.M)
    if version_match:
        return version_match.group(1)
    raise RuntimeError("Unable to find version string.")


with codecs.open('README.md', encoding='utf-8') as f:
    long_description = f.read()

with codecs.open('AUTHORS', encoding='utf-8') as f:
    authors = f.read()

with codecs.open('requirements.txt', encoding='utf-8') as f:
    requirements = f.read().split('\n')

setup(
    name="rep",
    version=find_version('rep', '__init__.py'),
    description="infrastructure for computational experiments on shared big datasets",
    long_description="""Reproducible Experiment Platform is a collaborative software infrastructure for computational experiments on shared big datasets, which allows obtaining reproducible, repeatable results and consistent comparisons of the obtained results.""",
    url='https://github.com/yandex/rep',

    # Author details
    author=authors,
    author_email='axelr@yandex-team.ru, antares@yandex-team.ru',

    # Choose your license
    license='Apache-2.0 License',
    packages=['rep', 'rep.estimators', 'rep.data', 'rep.metaml', 'rep.report', 'rep.test'],
    package_dir={'rep': 'rep'},
    classifiers=[
        # How mature is this project? Common values are
        # 3 - Alpha
        # 4 - Beta
        # 5 - Production/Stable
        'Development Status :: 4 - Beta',

        # Indicate who your project is intended for
        'Intended Audience :: Computational Researchers, students, teachers, data scientists',
        'Topic :: Machine Learning :: Computational Experiment',

        # Pick your license as you wish (should match "license" above)
        'License :: Apache-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 :: 2.7',
    ],

    # What does your project relate to?
    keywords='machine learning, ydf, high energy physics, particle physics, data analysis, reproducible experiment',

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

    # List run-time dependencies here. These will be installed by pip when your
    # project is installed.

    install_requires=requirements, 

    # 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
    # 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',
    #    ],
    #},
)