chore: replace config by pyproject.toml
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@ -33,6 +33,7 @@ repos:
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rev: v0.32.0
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hooks:
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- id: yapf
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additional_dependencies: ["toml"]
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- repo: https://github.com/pre-commit/pygrep-hooks
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rev: v1.10.0
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88
pyproject.toml
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88
pyproject.toml
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@ -0,0 +1,88 @@
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[project]
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name = "prototorch-models"
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version = "0.5.4"
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description = "Pre-packaged prototype-based machine learning models using ProtoTorch and PyTorch-Lightning."
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authors = [
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{ name = "Alexander Engelsberger", email = "engelsbe@hs-mittweida.de" },
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]
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dependencies = ["lightning>=2.0.0", "prototorch>=0.7.5", "torchmetrics"]
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requires-python = ">=3.8"
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readme = "README.md"
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license = { text = "MIT" }
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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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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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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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[project.urls]
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Homepage = "https://github.com/si-cim/prototorch_models"
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Downloads = "https://github.com/si-cim/prototorch_models.git"
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[project.optional-dependencies]
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dev = ["bumpversion", "pre-commit", "yapf", "toml"]
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examples = ["matplotlib", "scikit-learn"]
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tests = ["codecov", "pytest"]
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all = [
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"bumpversion",
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"codecov",
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"ipykernel",
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"jsonargparse",
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"matplotlib",
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"nbsphinx",
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"pre-commit",
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"yapf",
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"toml",
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"pytest",
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"recommonmark",
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"scikit-learn",
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"sphinx",
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"sphinx_rtd_theme",
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"sphinxcontrib-bibtex",
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"sphinxcontrib-katex",
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]
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[project.entry-points."prototorch.plugins"]
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models = "prototorch.models"
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[build-system]
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requires = ["setuptools>=61", "wheel"]
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build-backend = "setuptools.build_meta"
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[tool.yapf]
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based_on_style = "pep8"
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spaces_before_comment = 2
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split_before_logical_operator = true
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[tool.pylint]
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disable = ["too-many-arguments", "too-few-public-methods", "fixme"]
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[tool.isort]
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profile = "hug"
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src_paths = ["isort", "test"]
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multi_line_output = 3
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include_trailing_comma = true
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force_grid_wrap = 3
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use_parentheses = true
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line_length = 79
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[tool.mypy]
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explicit_package_bases = true
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namespace_packages = true
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[tool.setuptools]
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py-modules = ["prototorch"]
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27
setup.cfg
27
setup.cfg
@ -1,27 +0,0 @@
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[yapf]
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based_on_style = pep8
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spaces_before_comment = 2
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split_before_logical_operator = true
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[pylint]
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disable =
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too-many-arguments,
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too-few-public-methods,
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fixme,
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[pycodestyle]
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max-line-length = 79
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[isort]
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profile = hug
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src_paths = isort, test
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multi_line_output = 3
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include_trailing_comma = True
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force_grid_wrap = 3
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use_parentheses = True
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line_length = 79
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[mypy]
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explicit_package_bases = True
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namespace_packages = True
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99
setup.py
99
setup.py
@ -1,99 +0,0 @@
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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 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") as fh:
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long_description = fh.read()
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INSTALL_REQUIRES = [
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"prototorch>=0.7.5",
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"lightning>=2.0.0",
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"torchmetrics",
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"protobuf",
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]
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CLI = [
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"jsonargparse",
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]
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DEV = [
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"bumpversion",
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"pre-commit",
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]
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DOCS = [
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"recommonmark",
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"sphinx",
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"nbsphinx",
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"ipykernel",
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"sphinx_rtd_theme",
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"sphinxcontrib-katex",
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"sphinxcontrib-bibtex",
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]
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EXAMPLES = [
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"matplotlib",
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"scikit-learn",
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]
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TESTS = [
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"codecov",
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"pytest",
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]
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ALL = CLI + DEV + DOCS + EXAMPLES + TESTS
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setup(
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name=safe_name("prototorch_" + PLUGIN_NAME),
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version="0.5.4",
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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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long_description_content_type="text/markdown",
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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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python_requires=">=3.8",
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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",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.8",
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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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