""" _____ _ _______ _ | __ \ | | |__ __| | | | |__) | __ ___ | |_ ___ | | ___ _ __ ___| |__ | ___/ '__/ _ \| __/ _ \| |/ _ \| '__/ __| '_ \ | | | | | (_) | || (_) | | (_) | | | (__| | | | |_| |_| \___/ \__\___/|_|\___/|_| \___|_| |_| 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>=0.5.0", "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="0.5.0", 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", install_requires=INSTALL_REQUIRES, extras_require={ "docs": DOCS, "datasets": DATASETS, "examples": EXAMPLES, "tests": TESTS, "all": ALL, }, classifiers=[ "Development Status :: 2 - Pre-Alpha", "Environment :: Console", "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", "Programming Language :: Python :: 3.9", "Operating System :: OS Independent", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Python Modules", ], packages=find_packages(), zip_safe=False, )