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"""
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_____ _ _______ _
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| |__) | __ ___ | |_ ___ | | ___ _ __ ___| |__
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| ___/ '__/ _ \| __/ _ \| |/ _ \| '__/ __| '_ \
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| | | | | (_) | || (_) | | (_) | | | (__| | | |
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|_| |_| \___/ \__\___/|_|\___/|_| \___|_| |_|Plugin
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ProtoTorch models Plugin Package
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"""
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from pkg_resources import safe_name
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from setuptools import find_namespace_packages, setup
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PLUGIN_NAME = "models"
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PROJECT_URL = "https://github.com/si-cim/prototorch_models"
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DOWNLOAD_URL = "https://github.com/si-cim/prototorch_models.git"
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with open("README.md", "r") as fh:
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long_description = fh.read()
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INSTALL_REQUIRES = ["prototorch", "pytorch_lightning", "torchmetrics"]
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DEV = ["bumpversion"]
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EXAMPLES = ["matplotlib", "scikit-learn"]
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TESTS = ["codecov", "pytest"]
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ALL = DEV + EXAMPLES + TESTS
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setup(
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name=safe_name("prototorch_" + PLUGIN_NAME),
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version="0.1.4",
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description="Pre-packaged prototype-based "
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"machine learning models using ProtoTorch and PyTorch-Lightning.",
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long_description=long_description,
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author="Alexander Engelsberger",
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author_email="engelsbe@hs-mittweida.de",
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url=PROJECT_URL,
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download_url=DOWNLOAD_URL,
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license="MIT",
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install_requires=INSTALL_REQUIRES,
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extras_require={
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"dev": DEV,
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"examples": EXAMPLES,
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"tests": TESTS,
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"all": ALL,
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},
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classifiers=[
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"Development Status :: 2 - Pre-Alpha",
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"Environment :: Plugins",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: MIT License",
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"Natural Language :: English",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Operating System :: OS Independent",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Software Development :: Libraries",
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"Topic :: Software Development :: Libraries :: Python Modules",
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],
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entry_points={
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"prototorch.plugins": f"{PLUGIN_NAME} = prototorch.{PLUGIN_NAME}"
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},
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packages=find_namespace_packages(include=["prototorch.*"]),
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zip_safe=False,
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)
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