setup.py

""" Setup
"""

from setuptools import setup, find_packages
from codecs import open
from os import path

here = path.abspath(path.dirname(__file__))

# Get the long description from the README file
with open(path.join(here, "README.md"), encoding="utf-8") as f:
    long_description = f.read()
long_description = long_description.replace(
    "](keras_cv_attention_models", "](https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models"
)

exec(open("keras_cv_attention_models/version.py").read())
setup(
    name="keras-cv-attention-models",
    version=__version__,
    description="Tensorflow keras computer vision attention models. Alias kecam. https://github.com/leondgarse/keras_cv_attention_models",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/leondgarse/keras_cv_attention_models",
    author="Leondgarse",
    author_email="leondgarse@gmail.com",
    classifiers=[
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        "Development Status :: 3 - Alpha",
        "Intended Audience :: Developers",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: Apache Software License",
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Topic :: Scientific/Engineering",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Topic :: Software Development",
        "Topic :: Software Development :: Libraries",
        "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    # Note that this is a string of words separated by whitespace, not a list.
    keywords="tensorflow keras cv attention pretrained models kecam",
    packages=find_packages(exclude=["tests"]) + ["keras_cv_attention_models.pytorch_backend"],
    include_package_data=True,
    install_requires=[
        "pillow",
        "tqdm",
        "ftfy",  # required for language models
        "regex",  # required for language models
        # "tensorflow-macos;platform_system=='Darwin'",  # [???]
        "tensorflow;platform_system!='Darwin'",
        # "tensorflow-addons;platform_machine!='aarch64' and platform_machine!='aarch32'",  # [deprecated]
        # "tensorflow-datasets;platform_machine!='aarch64' and platform_machine!='aarch32'",  # >4.7.0 needs dm-tree, failed on arm, just skip
    ],
    python_requires=">=3.6",
    license="Apache 2.0",
)