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from setuptools import setup, find_packages
import re
from os import path
here = path.abspath(path.dirname(__file__))
# Get the version string
with open(path.join(here, 'dalib', '__init__.py')) as f:
version = re.search(r'__version__ = \'(.*?)\'', f.read()).group(1)
if __name__ == '__main__':
setup(
name="dalib", # Replace with your own username
version=version,
author="THUML",
author_email="JiangJunguang1123@outlook.com",
keywords="domain adaptation, task adaptation, domain generalization, "
"transfer learning, deep learning, pytorch",
description="A Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization",
long_description=open('README.md', encoding='utf8').read(),
long_description_content_type="text/markdown",
url="https://github.com/thuml/Transfer-Learning-Library",
packages=find_packages(exclude=['docs', 'examples']),
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development :: Libraries :: Python Modules',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
python_requires='>=3.6',
install_requires=[
'torch>=1.7.0',
'torchvision>=0.5.0',
'numpy',
'prettytable',
'tqdm',
'scikit-learn',
'webcolors',
'matplotlib'
],
extras_require={
'dev': [
'Sphinx',
'sphinx_rtd_theme',
]
},
)