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setup.py
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setup.py
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from setuptools import find_packages, setup
# 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 = {} # type: ignore
with open("allennlp/version.py", "r") as version_file:
exec(version_file.read(), VERSION)
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",
"test_fixtures",
"test_fixtures.*",
"benchmarks",
"benchmarks.*",
]
),
install_requires=[
"torch>=1.6.0,<1.7.0",
"jsonnet>=0.10.0 ; sys.platform != 'win32'",
"overrides==3.1.0",
"nltk",
"spacy>=2.1.0,<2.4",
"numpy",
"tensorboardX>=1.2",
"boto3>=1.14,<2.0",
"requests>=2.18",
"tqdm>=4.19",
"h5py",
"scikit-learn",
"scipy",
"pytest",
"transformers>=3.0,<3.1",
"jsonpickle",
"dataclasses;python_version<'3.7'",
"filelock>=3.0,<3.1",
],
entry_points={"console_scripts": ["allennlp=allennlp.__main__:run"]},
include_package_data=True,
python_requires=">=3.6.1",
zip_safe=False,
)