setup.py

from setuptools import setup, find_packages

version = "0.5.6"
setup(
    name="wordvecspace",
    python_requires=">3.5.1",
    version=version,
    description="A high performance pure python module that helps in"
    " loading and performing operations on word vector spaces"
    " created using Google's Word2vec tool. It also supports"
    " converting word vector space data (vectors and vocabulary)"
    " from Google Word2Vec format to WordVecSpace format.",
    keywords="wordvecspace",
    author="Deep Compute, LLC",
    author_email="contact@deepcompute.com",
    url="https://github.com/deep-compute/wordvecspace",
    download_url="https://github.com/deep-compute/wordvecspace/tarball/%s" % version,
    license="MIT License",
    install_requires=[
        "annoy==1.11.4",
        "scipy==1.0.0",
        "diskarray==0.1.8",
        "diskdict==0.2.2",
        "deeputil==0.2.5",
        "bottleneck==1.2.1",
        "pandas==0.23.4",
    ],
    extras_require={
        "cuda": ["pycuda==2018.1.1", "scikit-cuda==0.5.1"],
        "service": ["kwikapi[tornado]==0.4.5"],
    },
    package_dir={"wordvecspace": "wordvecspace"},
    packages=find_packages("."),
    include_package_data=True,
    classifiers=[
        "Programming Language :: Python :: 3.5",
        "Environment :: Console",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: MIT License",
    ],
    test_suite="test.suite_test",
    entry_points={"console_scripts": ["wordvecspace = wordvecspace:main"]},
)