import setuptools

with open("README.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

setuptools.setup(
    name="galaxy-datasets",
    version="0.0.25",
    author="Mike Walmsley",
    author_email="walmsleymk1@gmail.com",
    description="Galaxy Zoo datasets for PyTorch/TensorFlow",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/mwalmsley/galaxy-datasets",
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: GNU General Public License (GPL)",
        "Operating System :: OS Independent",
        "Development Status :: 4 - Beta",
        "Environment :: GPU :: NVIDIA CUDA"
    ],
    packages=setuptools.find_packages(),
    python_requires=">=3.9",  # zoobot has 3.9,
    install_requires=[
        'numpy',
        'pandas',
        'pyarrow',
        'requests',
        'scikit-learn',
        'omegaconf',  # for config
        'datasets >= 3.6',  # for HF typing
        # 'albumentations < 2.0',  # for augmentations, will be deprecated, torchvision now preferred
        'torch >= 1.10.1',
        'torchvision >= 0.11.2',
        'torchaudio >= 0.10.1',
        'pytorch-lightning >=2.0'
    ],
    # extras_require={
        # these are lower than zoobot's reqs
        # 'pytorch': [

        # ],
        # 'tensorflow': [ # will be deprecated
        #     'tensorflow >= 2.10.0',
        #     'protobuf <= 3.19'  # tensorflow incompatible above this (usually resolved by pip automatically)
        # ]
        # if you need both, specify both
    # }
)
