31f78638d5686c887f642e913ddedc64510defcb,setup.py,,,#,5

Before Change

with open(path.join(here, "README.md")) as f:
    long_description = f.read()

setup(  name = "chemml",
        version = cheml.__version__,
        author="Mojtaba Haghighatlari, Johannes Hachmann",
        author_email="mojtabah@buffalo.edu, hachmann@buffalo.edu",
        // url="https://github.com/hachmannlab/chemml",
        project_urls={
            "Source": "https://github.com/hachmannlab/chemml",
            "url": "https://hachmannlab.github.io/chemml/"
        },
        description="A Machine Learning and Informatics Program Suite for the Chemical and Materials Sciences",
        long_description=long_description,

        packages = find_packages(exclude=["docs"]),

        keywords=["Machine Learning", "Data Mining", "Quantum Chemistry", "Materials Science", "Informatics"],
        license="3-Clause BSD",
        classifiers=["Development Status :: 4 - Beta",
                   "Natural Language :: English",
                   "Programming Language :: Python :: 2.7",
                  ],

        python_requires = ">=2.7, <3",

        install_requires = ["numpy>=1.13", "pandas>=0.20.3", "tensorflow==1.1.0", "keras==2.1.5",
                            "scikit-learn==0.19.1", "babel>=2.3.4", "matplotlib>=1.5.1", "deap>=1.2.2",
                            "lxml","nose","ipywidgets>=7.1","widgetsnbextension>=3.1","graphviz"],

        test_suite="nose.collector",
        tests_require=["nose"],

        include_package_data = True,
        // package_data={
        //                 "": ["*.xyz", "*.csv", "*.vasp", "*.txt"],
        //                 // "cheml": ["datasets/data/*", "tests/data/*", "tests/configfiles/*"],
        //             },
        extras_require={
                "gui": ["ipywidgets", "graphviz"],
                "ml": ["scikit-learn>=0.18.1","tensorflow>=1.4.1", "keras>=2.1.2"],
                "viz": ["matplotlib>=1.5.1"],
                "ga": ["deap>=1.2.2"],

            },
     )

After Change

    long_description = f.read()

if __name__ == "__main__":
    setuptools.setup(
        name="chemml",
        version=chemml.__version__,
        author="Mojtaba Haghighatlari, Johannes Hachmann",
        author_email="mojtabah@buffalo.edu, hachmann@buffalo.edu",
        // url="https://github.com/hachmannlab/chemml",
        project_urls={
            "Source": "https://github.com/hachmannlab/chemml",
            "url": "https://hachmannlab.github.io/chemml/"
        },
        description=
        "A Machine Learning and Informatics Program Suite for the Chemical and Materials Sciences",
        long_description=long_description,
        keywords=[
            "Machine Learning", "Data Mining", "Quantum Chemistry",
            "Materials Science", "Informatics"
        ],
        license="BSD-3C",
        packages=setuptools.find_packages(),
        scripts=["bin/chemeco"],

        // python_requires=">=2.7, <3",
        install_requires=[
            "future", "six", "numpy", "pandas", "tensorflow==1.1.0",
            "keras==2.1.5", "scikit-learn==0.19.1", "babel>=2.3.4",
            "matplotlib>=1.5.1", "deap>=1.2.2", "lxml", "graphviz"
        ],
        extras_require={
            "docs": [
                "sphinx",
                "sphinxcontrib-napoleon",
                "sphinx_rtd_theme",
                "numpydoc",
            ],
            "tests": [
                "pytest",
                "pytest-cov",
                "pytest-pep8",
                "tox",
            ],
        },
        tests_require=[
            "pytest",
            "pytest-cov",
            "pytest-pep8",
            "tox",
        ],
        classifiers=[
            "Development Status :: 4 - Beta",
            "Natural Language :: English",
            "Intended Audience :: Science/Research",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
        ],
        zip_safe=False,
    )

    // install_requires = ["numpy>=1.13", "pandas>=0.20.3", "tensorflow==1.1.0", "keras==2.1.5",
    //                     "scikit-learn==0.19.1", "babel>=2.3.4", "matplotlib>=1.5.1", "deap>=1.2.2",

Instances