from setuptools import setup


setup(
    name="sheepts",
    version="0.0.4",
    description="Light Time Series Toolbox",
    long_description="sheepts is a light time series toolbox.",
    url="https://github.com/aliciawyy/sheep",
    author="Alice Wang",
    author_email="rainingilove@gmail.com",
    license="MIT",
    classifiers=[
        "Intended Audience :: Developers",
        "Programming Language :: Python :: 2.7",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
        "License :: OSI Approved :: MIT License"
        ],
    keywords="pandas time-series toolbox",
    packages=["sheepts"],
    install_requires=[
        "numpy==1.14.5",
        "pandas==0.23.2"
    ],
    extras_require={
        "test": ["pytest==3.6.1", "pytest-cov==2.5.1"]
    }
)

a39c7eb9e346535cc6ec3ae51b1b653b767c25df
<mask token>

<mask token>
setup(name='sheepts', version='0.0.4', description=
    'Light Time Series Toolbox', long_description=
    'sheepts is a light time series toolbox.', url=
    'https://github.com/aliciawyy/sheep', author='Alice Wang', author_email
    ='rainingilove@gmail.com', license='MIT', classifiers=[
    'Intended Audience :: Developers',
    'Programming Language :: Python :: 2.7',
    'Programming Language :: Python :: 3.5',
    'Programming Language :: Python :: 3.6',
    'License :: OSI Approved :: MIT License'], keywords=
    'pandas time-series toolbox', packages=['sheepts'], install_requires=[
    'numpy==1.14.5', 'pandas==0.23.2'], extras_require={'test': [
    'pytest==3.6.1', 'pytest-cov==2.5.1']})

from setuptools import setup
setup(name='sheepts', version='0.0.4', description=
    'Light Time Series Toolbox', long_description=
    'sheepts is a light time series toolbox.', url=
    'https://github.com/aliciawyy/sheep', author='Alice Wang', author_email
    ='rainingilove@gmail.com', license='MIT', classifiers=[
    'Intended Audience :: Developers',
    'Programming Language :: Python :: 2.7',
    'Programming Language :: Python :: 3.5',
    'Programming Language :: Python :: 3.6',
    'License :: OSI Approved :: MIT License'], keywords=
    'pandas time-series toolbox', packages=['sheepts'], install_requires=[
    'numpy==1.14.5', 'pandas==0.23.2'], extras_require={'test': [
    'pytest==3.6.1', 'pytest-cov==2.5.1']})

from setuptools import setup


setup(
    name="sheepts",
    version="0.0.4",
    description="Light Time Series Toolbox",
    long_description="sheepts is a light time series toolbox.",
    url="https://github.com/aliciawyy/sheep",
    author="Alice Wang",
    author_email="rainingilove@gmail.com",
    license="MIT",
    classifiers=[
        "Intended Audience :: Developers",
        "Programming Language :: Python :: 2.7",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
        "License :: OSI Approved :: MIT License"
        ],
    keywords="pandas time-series toolbox",
    packages=["sheepts"],
    install_requires=[
        "numpy==1.14.5",
        "pandas==0.23.2"
    ],
    extras_require={
        "test": ["pytest==3.6.1", "pytest-cov==2.5.1"]
    }
)
