setup.py

from setuptools import setup


def read_file(path: str) -> str:
    with open(path, 'r', encoding='utf-8') as f:
        res = f.read()
    return res


description = 'Mini-Lightning is a lightweight machine learning training library, which is a mini version of Pytorch-Lightning with only 1k lines of code. It has the advantages of faster, more concise and more flexible.'
long_description = read_file('README.md')
install_requires = read_file('requirements.txt').splitlines(False)
classifiers = [
    'License :: OSI Approved :: MIT License',
    'Operating System :: OS Independent',
    'Programming Language :: Python',
    'Programming Language :: Python :: 3',
    'Programming Language :: Python :: 3.8',
    'Programming Language :: Python :: 3.9',
    'Programming Language :: Python :: 3.10',
]
setup(
    name='mini-lightning',
    version='0.2.2',
    description=description,
    long_description=long_description,
    long_description_content_type='text/markdown',
    license='MIT',
    url='https://github.com/ustcml/mini-lightning/',
    author='Jintao Huang',
    author_email='huangjintao@mail.ustc.edu.cn',
    packages=['mini_lightning'],
    install_requires=install_requires,
    classifiers=classifiers,
    python_requires='>=3.8'
)