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setup.py
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setup.py
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from io import open
from setuptools import find_packages, setup
setup(
name="bert_score",
version="0.3.13",
author="Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi",
author_email="[email protected]",
description="PyTorch implementation of BERT score",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="BERT NLP deep learning google metric",
license="MIT",
url="https://github.com/Tiiiger/bert_score",
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
install_requires=[
"torch>=1.0.0",
"pandas>=1.0.1",
"transformers>=3.0.0",
"numpy",
"requests",
"tqdm>=4.31.1",
"matplotlib",
"packaging>=20.9",
],
entry_points={
"console_scripts": [
"bert-score=bert_score_cli.score:main",
"bert-score-show=bert_score_cli.visualize:main",
]
},
include_package_data=True,
python_requires=">=3.6",
tests_require=["pytest"],
classifiers=[
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)