prototorch/setup.py

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"""
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ProtoTorch Core Package
"""
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from setuptools import find_packages, setup
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PROJECT_URL = "https://github.com/si-cim/prototorch"
DOWNLOAD_URL = "https://github.com/si-cim/prototorch.git"
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with open("README.md", "r") as fh:
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long_description = fh.read()
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INSTALL_REQUIRES = [
"torch>=1.3.1",
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"torchvision>=0.7.1",
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"numpy>=1.9.1",
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"sklearn",
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]
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DATASETS = [
"requests",
"tqdm",
]
DEV = [
"bumpversion",
"pre-commit",
]
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DOCS = [
"recommonmark",
"sphinx",
"sphinx_rtd_theme",
"sphinxcontrib-katex",
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"sphinx-autodoc-typehints",
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]
EXAMPLES = [
"matplotlib",
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"torchinfo",
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]
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TESTS = ["codecov", "pytest"]
ALL = DATASETS + DEV + DOCS + EXAMPLES + TESTS
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setup(
name="prototorch",
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version="0.7.1",
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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",
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install_requires=INSTALL_REQUIRES,
extras_require={
"datasets": DATASETS,
"dev": DEV,
"docs": DOCS,
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"examples": EXAMPLES,
"tests": TESTS,
"all": ALL,
},
classifiers=[
"Environment :: Console",
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"Natural Language :: English",
"Development Status :: 4 - Beta",
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"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",
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"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",
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],
packages=find_packages(),
zip_safe=False,
)