File size: 1,929 Bytes
f4dcc30 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | import subprocess
import datetime
import sys
def install(package):
subprocess.check_call([sys.executable, "-m", "pip", "install", package])
install('setuptools')
install('gitpython')
import setuptools
import git
# repo = git.Repo('/home/shen_yuan/OFT/DeBERTa', search_parent_directories=True)
date=datetime.datetime.utcnow()
# with open("README.md", "r") as fh:
# # long_description = fh.read() + f'\n git version: {repo.head.object.hexsha}' + \
# # f'\n date: {date}'
# long_description = fh.read() + f'\n git version: ' + \
# f'\n date: {date}'
long_description = "deberta long des"
with open('VERSION') as fs:
version = fs.readline().strip()
# version += f".dev{date.strftime('%y%m%d%H%M%S')}"
with open('requirements.txt') as fs:
requirements = [l.strip() for l in fs if not l.strip().startswith('#')]
extras = {}
extras["docs"] = ["recommonmark", "sphinx", "sphinx-markdown-tables", "sphinx-rtd-theme"]
setuptools.setup(
name="DeBERTa",
version=version,
author="penhe",
author_email="penhe@microsoft.com",
description="Decoding enhanced BERT with Disentangled Attention",
keywords="NLP deep learning transformer pytorch Attention BERT RoBERTa DeBERTa",
license="MIT",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/microsoft/DeBERTa",
packages=setuptools.find_packages(exclude=['__pycache__']),
package_dir = {'DeBERTa':'DeBERTa'},
classifiers=[
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires='>=3.6',
extras_require=extras,
install_requires=requirements)
|