835b683b85ff0ff8d812fadf3dad2371cb09c020,setup.py,,,#,12

Before Change

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

setup(
    name="MLBlocks",

    // 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="0.0.1",
    description="A JSON abstraction for datascience pipelines",

    // The project"s main homepage.
    url="https://github.com/HDI-Project/MLBlocks",

    // Choose your license
    license="MIT",

    // 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 :: 3 - Alpha",

        // Indicate who your project is intended for
        "Intended Audience :: Developers",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",

        // Pick your license as you wish (should match "license" above)
        "License :: OSI Approved :: MIT 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",
        // TODO: python 3 support
    ],

    // What does your project relate to?
    keywords="machine learning hyperparameters datascience pipelines",

    // You can just specify the packages manually here if your project is
    // simple. Or you can use find_packages().
    packages=find_packages()

    // 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
    // TODO
    //install_requires=[],
)

After Change

setup_requirements = ["pytest-runner", ]

test_requirements = ["pytest", ]

setup(
    author="William Xue",
    author_email="wgxue@mit.edu",
    classifiers=[
        "Development Status :: 2 - Pre-Alpha",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: MIT License",
        "Natural Language :: English",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.4",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
    ],
    description="Pipelines and primitives for machine learning and data science.",
    entry_points={
        "console_scripts": [
            "mlblocks=mlblocks.cli:main",
        ],
    },
    install_requires=requirements,
    license="MIT license",
    long_description=readme + "\n\n" + history,
    long_description_content_type="text/markdown",
    include_package_data=True,
    keywords="mlblocks",
    name="mlblocks",
    packages=find_packages(include=["mlblocks"]),
    setup_requires=setup_requirements,
    test_suite="tests",
    tests_require=test_requirements,
    url="https://github.com/HDI-Project/mlblocks",
    version="0.1.0",
    zip_safe=False,
)

Instances