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setup.py
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setup.py
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"""
In order to create a package for pypi, you need to follow several steps.
1. Create a .pypirc in your home directory. It should look like this:
```
[distutils]
index-servers =
pypi
pypitest
[pypi]
username=allennlp
password= Get the password from LastPass.
[pypitest]
repository=https://test.pypi.org/legacy/
username=allennlp
password= Get the password from LastPass.
```
run chmod 600 ./pypirc so only you can read/write.
1. Change the version in docs/conf.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 setup, find_packages
import sys
# PEP0440 compatible formatted version, see:
# https://www.python.org/dev/peps/pep-0440/
#
# release markers:
# X.Y
# X.Y.Z # For bugfix releases
#
# pre-release markers:
# X.YaN # Alpha release
# X.YbN # Beta release
# X.YrcN # Release Candidate
# X.Y # Final release
# version.py defines the VERSION and VERSION_SHORT variables.
# We use exec here so we don't import allennlp whilst setting up.
VERSION = {}
with open("allennlp/version.py", "r") as version_file:
exec(version_file.read(), VERSION)
# make pytest-runner a conditional requirement,
# per: https://github.com/pytest-dev/pytest-runner#considerations
needs_pytest = {'pytest', 'test', 'ptr'}.intersection(sys.argv)
pytest_runner = ['pytest-runner'] if needs_pytest else []
setup_requirements = [
# add other setup requirements as necessary
] + pytest_runner
setup(name='allennlp',
version=VERSION["VERSION"],
description='An open-source NLP research library, built on PyTorch.',
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
classifiers=[
'Intended Audience :: Science/Research',
'Development Status :: 3 - Alpha',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
keywords='allennlp NLP deep learning machine reading',
url='https://github.com/allenai/allennlp',
author='Allen Institute for Artificial Intelligence',
author_email='[email protected]',
license='Apache',
packages=find_packages(exclude=["*.tests", "*.tests.*",
"tests.*", "tests"]),
install_requires=[
'torch>=0.4.1',
"jsonnet==0.10.0 ; sys.platform != 'win32'",
'overrides',
'nltk',
'msgpack>=0.5.6,<0.6.0',
'spacy>=2.0,<2.1',
'numpy',
'tensorboardX==1.2',
'cffi==1.11.5',
'awscli>=1.11.91',
'boto3',
'moto==1.3.4',
'flask==1.0.2',
'flask-cors==3.0.7',
'gevent==1.3.6',
'requests>=2.18',
'tqdm>=4.19',
'editdistance',
'h5py',
'scikit-learn',
'scipy',
'pytz==2017.3',
'unidecode',
'matplotlib==2.2.3',
'pytest',
'flaky',
'responses>=0.7',
'numpydoc==0.8.0',
'conllu==0.11',
'parsimonious==0.8.0',
'ftfy',
'sqlparse==0.2.4',
'pytorch-pretrained-bert==0.3.0',
],
scripts=["bin/allennlp"],
setup_requires=setup_requirements,
tests_require=[
'pytest',
'flaky',
'responses>=0.7',
'moto==1.3.4',
'jupyter',
'ipykernel<5.0.0',
],
include_package_data=True,
python_requires='>=3.6.1',
zip_safe=False)