Use models namespace
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# prototorch_plugintemplate
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Prototorch plugin template.
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# prototorch_models
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TODO: Instructions
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Pre-packaged prototype-based machine learning models using ProtoTorch and
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PyTorch-Lightning.
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setup.py
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setup.py
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"""
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_____ _ _______ _
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| __ \ | | |__ __| | |
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_____ _ _______ _
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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 plugintemplate Plugin Package
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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 setup
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from setuptools import find_namespace_packages
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PLUGIN_NAME = "plugintemplate"
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PLUGIN_NAME = "models"
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PROJECT_URL = "https://github.com/si-cim/prototorch_plugintemplate"
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DOWNLOAD_URL = "https://github.com/si-cim/prototorch_plugintemplate.git"
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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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setup(
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name=safe_name("prototorch_" + PLUGIN_NAME),
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use_scm_version=True,
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descripion="Template for ProtoTorch Plugin.",
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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,
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author="Alexander Engelsberger",
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author_email="engelsbe@hs-mittweida.de",
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