prototorch_models/setup.py
2022-01-11 18:29:55 +01:00

98 lines
2.8 KiB
Python

"""
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ProtoTorch models Plugin Package
"""
from pkg_resources import safe_name
from setuptools import find_namespace_packages, setup
PLUGIN_NAME = "models"
PROJECT_URL = "https://github.com/si-cim/prototorch_models"
DOWNLOAD_URL = "https://github.com/si-cim/prototorch_models.git"
with open("README.md", "r") as fh:
long_description = fh.read()
INSTALL_REQUIRES = [
"prototorch>=0.7.0",
"pytorch_lightning>=1.3.5",
"torchmetrics",
]
CLI = [
"jsonargparse",
]
DEV = [
"bumpversion",
"pre-commit",
]
DOCS = [
"recommonmark",
"sphinx",
"nbsphinx",
"ipykernel",
"sphinx_rtd_theme",
"sphinxcontrib-katex",
"sphinxcontrib-bibtex",
]
EXAMPLES = [
"matplotlib",
"scikit-learn",
]
TESTS = [
"codecov",
"pytest",
]
ALL = CLI + DEV + DOCS + EXAMPLES + TESTS
setup(
name=safe_name("prototorch_" + PLUGIN_NAME),
version="0.4.1",
description="Pre-packaged prototype-based "
"machine learning models using ProtoTorch and PyTorch-Lightning.",
long_description=long_description,
long_description_content_type="text/markdown",
author="Alexander Engelsberger",
author_email="engelsbe@hs-mittweida.de",
url=PROJECT_URL,
download_url=DOWNLOAD_URL,
license="MIT",
python_requires=">=3.6",
install_requires=INSTALL_REQUIRES,
extras_require={
"dev": DEV,
"examples": EXAMPLES,
"tests": TESTS,
"all": ALL,
},
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 :: 3.9",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.6",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
],
entry_points={
"prototorch.plugins": f"{PLUGIN_NAME} = prototorch.{PLUGIN_NAME}"
},
packages=find_namespace_packages(include=["prototorch.*"]),
zip_safe=False,
)