prototorch/setup.py
2021-08-30 17:55:48 +02:00

93 lines
2.6 KiB
Python

"""
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ProtoTorch Core Package
"""
from setuptools import find_packages, setup
PROJECT_URL = "https://github.com/si-cim/prototorch"
DOWNLOAD_URL = "https://github.com/si-cim/prototorch.git"
with open("README.md", "r") as fh:
long_description = fh.read()
INSTALL_REQUIRES = [
"torch>=1.3.1",
"torchvision>=0.7.1",
"numpy>=1.9.1",
"sklearn",
]
DATASETS = [
"requests",
"tqdm",
]
DEV = [
"bumpversion",
"pre-commit",
]
DOCS = [
"recommonmark",
"sphinx",
"sphinx_rtd_theme",
"sphinxcontrib-katex",
"sphinx-autodoc-typehints",
]
EXAMPLES = [
"matplotlib",
"torchinfo",
]
TESTS = ["codecov", "pytest"]
ALL = DATASETS + DEV + DOCS + EXAMPLES + TESTS
setup(
name="prototorch",
version="0.7.1",
description="Highly extensible, GPU-supported "
"Learning Vector Quantization (LVQ) toolbox "
"built using PyTorch and its nn API.",
long_description=long_description,
long_description_content_type="text/markdown",
author="Jensun Ravichandran",
author_email="jjensun@gmail.com",
url=PROJECT_URL,
download_url=DOWNLOAD_URL,
license="MIT",
python_requires=">=3.6",
install_requires=INSTALL_REQUIRES,
extras_require={
"datasets": DATASETS,
"dev": DEV,
"docs": DOCS,
"examples": EXAMPLES,
"tests": TESTS,
"all": ALL,
},
classifiers=[
"Environment :: Console",
"Natural Language :: English",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
packages=find_packages(),
zip_safe=False,
)