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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="allennlp@allenai.org",
license="Apache",
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
install_requires=[
"torch>=1.2.0",
"jsonnet>=0.10.0 ; sys.platform != 'win32'",
"overrides",
"nltk",
"spacy>=2.1.0,<2.2",
"numpy",
"tensorboardX>=1.2",
"boto3",
"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==1.3.1",
"parsimonious>=0.8.0",
"ftfy",
"sqlparse>=0.2.4",
"word2number>=1.1",
"pytorch-pretrained-bert>=0.6.0",
"pytorch-transformers==1.1.0",
"jsonpickle",
],
entry_points={"console_scripts": ["allennlp=allennlp.run:run"]},
setup_requires=setup_requirements,
tests_require=["pytest", "flaky", "responses>=0.7"],
include_package_data=True,
python_requires=">=3.6.1",
zip_safe=False,
)