prototorch_models/setup.py

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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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"""
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"
DOWNLOAD_URL = "https://github.com/si-cim/prototorch_models.git"
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with open("README.md", "r") as fh:
long_description = fh.read()
INSTALL_REQUIRES = ["prototorch", "pytorch_lightning", "torchmetrics"]
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EXAMPLES = ["matplotlib", "scikit-learn"]
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TESTS = ["codecov", "pytest"]
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ALL = EXAMPLES + TESTS
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setup(
name=safe_name("prototorch_" + PLUGIN_NAME),
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version="0.0.0",
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descripion=
"Pre-packaged prototype-based machine learning models using ProtoTorch and PyTorch-Lightning.",
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long_description=long_description,
author="Alexander Engelsberger",
author_email="engelsbe@hs-mittweida.de",
url=PROJECT_URL,
download_url=DOWNLOAD_URL,
license="MIT",
install_requires=INSTALL_REQUIRES,
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extras_require={
"examples": EXAMPLES,
"tests": TESTS,
"all": ALL,
},
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classifiers=[
"Development Status :: 2 - Pre-Alpha",
"Environment :: Plugins",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
],
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entry_points={
"prototorch.plugins": f"{PLUGIN_NAME} = prototorch.{PLUGIN_NAME}"
},
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packages=find_namespace_packages(include=["prototorch.*"]),
zip_safe=False,
)