setup.py

"""
Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
To create the package for pypi.
1. Change the version in __init__.py and setup.py.
2. Commit these changes with the message: "Release: VERSION"
3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
   Push the tag to git: git push --tags origin master
4. Build both the sources and the wheel. Do not change anything in setup.py between
   creating the wheel and the source distribution (obviously).
   For the wheel, run: "python setup.py bdist_wheel" in the top level allennlp directory.
   (this will build a wheel for the python version you use to build it - make sure you use python 3.x).
   For the sources, run: "python setup.py sdist"
   You should now have a /dist directory with both .whl and .tar.gz source versions of allennlp.
5. Check that everything looks correct by uploading the package to the pypi test server:
   twine upload dist/* -r pypitest
   (pypi suggest using twine as other methods upload files via plaintext.)
   Check that you can install it in a virtualenv by running:
   pip install -i https://testpypi.python.org/pypi allennlp
6. Upload the final version to actual pypi:
   twine upload dist/* -r pypi
7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
"""
from io import open
from setuptools import find_packages, setup

setup(
    name="stan",
    version="0.0.1a",
    author="Christoph Alt",
    author_email="christoph@opennlu.org",
    description="StAn - Quickly annotate your dataset with Stanford CoreNLP",
    long_description=open("README.md", "r", encoding="utf-8").read(),
    long_description_content_type="text/markdown",
    keywords="dataset annotate stanford corenlp",
    license="MIT",
    url="https://github.com/ChristophAlt/StAn",
    packages=find_packages(exclude=["*.tests", "*.tests.*",
                                    "tests.*", "tests"]),
    install_requires=["stanfordcorenlp",
                      "tqdm",
                      "joblib"],
    tests_require=["pytest", "mypy", "pylint"],
    entry_points={
      "console_scripts": [
        "stan=stan.__main__:main",
      ]
    },
    python_requires='>=3.6.0',
    classifiers=[
          "Intended Audience :: Science/Research",
          "License :: OSI Approved :: MIT Software License",
          "Programming Language :: Python :: 3",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
    ],
)