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setup.py
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"""
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 setuptools import find_packages, setup
setup(
name="allentune",
version="0.0.1a",
author="Suchin Gururangan",
author_email="[email protected]",
description="Hyperparameter tuning for AllenNLP",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="NLP hyperparameter tuning",
license="Apache",
url="https://github.com/kernelmachine/allentune",
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
install_requires=["ray==0.8.6",
"allennlp==1.0.0",
"tabulate",
"seaborn",
"pandas",
"pytest",
"pytest-cov"],
entry_points={"console_scripts": ["allentune=allentune.__main__:main"]},
python_requires=">=3.6.0",
tests_require=["pytest"],
classifiers=[
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)