import pyhivemall
VERSION = pyhivemall.__version__
DISTNAME = 'pyhivemall'
DESCRIPTION = 'Using machine learning model from Apache Hivemall in Python'
LONG_DESCRIPTION = __doc__ or ''
AUTHOR = 'Takuya Kitazawa'
AUTHOR_EMAIL = 'k.takuti@gmail.com'
MAINTAINER = AUTHOR
MAINTAINER_EMAIL = AUTHOR_EMAIL
LICENSE = 'Apache License 2.0'
URL = 'https://github.com/takuti/pyhivemall'
DOWNLOAD_URL = ''


def setup_package():
    from setuptools import setup, find_packages
    metadata = dict(name=DISTNAME, version=VERSION, description=DESCRIPTION,
        long_description=LONG_DESCRIPTION, author=AUTHOR, author_email=
        AUTHOR_EMAIL, maintainer=MAINTAINER, maintainer_email=
        MAINTAINER_EMAIL, license=LICENSE, url=URL, download_url=
        DOWNLOAD_URL, classifiers=[
        'License :: OSI Approved :: Apache Software License',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6'], packages=find_packages(
        exclude=['*tests*']), install_requires=['numpy', 'scikit_learn',
        'sqlalchemy', 'pandas-td', 'pyhive', 'thrift', 'thrift-sasl'])
    setup(**metadata)


if __name__ == '__main__':
    setup_package()

29f31bc1dd42ad7161833e21a231d5be5e540dc2
<mask token>


def setup_package():
    from setuptools import setup, find_packages
    metadata = dict(name=DISTNAME, version=VERSION, description=DESCRIPTION,
        long_description=LONG_DESCRIPTION, author=AUTHOR, author_email=
        AUTHOR_EMAIL, maintainer=MAINTAINER, maintainer_email=
        MAINTAINER_EMAIL, license=LICENSE, url=URL, download_url=
        DOWNLOAD_URL, classifiers=[
        'License :: OSI Approved :: Apache Software License',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6'], packages=find_packages(
        exclude=['*tests*']), install_requires=['numpy', 'scikit_learn',
        'sqlalchemy', 'pandas-td', 'pyhive', 'thrift', 'thrift-sasl'])
    setup(**metadata)


<mask token>

<mask token>


def setup_package():
    from setuptools import setup, find_packages
    metadata = dict(name=DISTNAME, version=VERSION, description=DESCRIPTION,
        long_description=LONG_DESCRIPTION, author=AUTHOR, author_email=
        AUTHOR_EMAIL, maintainer=MAINTAINER, maintainer_email=
        MAINTAINER_EMAIL, license=LICENSE, url=URL, download_url=
        DOWNLOAD_URL, classifiers=[
        'License :: OSI Approved :: Apache Software License',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6'], packages=find_packages(
        exclude=['*tests*']), install_requires=['numpy', 'scikit_learn',
        'sqlalchemy', 'pandas-td', 'pyhive', 'thrift', 'thrift-sasl'])
    setup(**metadata)


if __name__ == '__main__':
    setup_package()

<mask token>
VERSION = pyhivemall.__version__
DISTNAME = 'pyhivemall'
DESCRIPTION = 'Using machine learning model from Apache Hivemall in Python'
LONG_DESCRIPTION = __doc__ or ''
AUTHOR = 'Takuya Kitazawa'
AUTHOR_EMAIL = 'k.takuti@gmail.com'
MAINTAINER = AUTHOR
MAINTAINER_EMAIL = AUTHOR_EMAIL
LICENSE = 'Apache License 2.0'
URL = 'https://github.com/takuti/pyhivemall'
DOWNLOAD_URL = ''


def setup_package():
    from setuptools import setup, find_packages
    metadata = dict(name=DISTNAME, version=VERSION, description=DESCRIPTION,
        long_description=LONG_DESCRIPTION, author=AUTHOR, author_email=
        AUTHOR_EMAIL, maintainer=MAINTAINER, maintainer_email=
        MAINTAINER_EMAIL, license=LICENSE, url=URL, download_url=
        DOWNLOAD_URL, classifiers=[
        'License :: OSI Approved :: Apache Software License',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6'], packages=find_packages(
        exclude=['*tests*']), install_requires=['numpy', 'scikit_learn',
        'sqlalchemy', 'pandas-td', 'pyhive', 'thrift', 'thrift-sasl'])
    setup(**metadata)


if __name__ == '__main__':
    setup_package()

import pyhivemall
VERSION = pyhivemall.__version__
DISTNAME = 'pyhivemall'
DESCRIPTION = 'Using machine learning model from Apache Hivemall in Python'
LONG_DESCRIPTION = __doc__ or ''
AUTHOR = 'Takuya Kitazawa'
AUTHOR_EMAIL = 'k.takuti@gmail.com'
MAINTAINER = AUTHOR
MAINTAINER_EMAIL = AUTHOR_EMAIL
LICENSE = 'Apache License 2.0'
URL = 'https://github.com/takuti/pyhivemall'
DOWNLOAD_URL = ''


def setup_package():
    from setuptools import setup, find_packages
    metadata = dict(name=DISTNAME, version=VERSION, description=DESCRIPTION,
        long_description=LONG_DESCRIPTION, author=AUTHOR, author_email=
        AUTHOR_EMAIL, maintainer=MAINTAINER, maintainer_email=
        MAINTAINER_EMAIL, license=LICENSE, url=URL, download_url=
        DOWNLOAD_URL, classifiers=[
        'License :: OSI Approved :: Apache Software License',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6'], packages=find_packages(
        exclude=['*tests*']), install_requires=['numpy', 'scikit_learn',
        'sqlalchemy', 'pandas-td', 'pyhive', 'thrift', 'thrift-sasl'])
    setup(**metadata)


if __name__ == '__main__':
    setup_package()
