85 lines
2.4 KiB
Python
85 lines
2.4 KiB
Python
"""
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ProtoTorch Core Package
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"""
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from setuptools import find_packages, setup
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PROJECT_URL = "https://github.com/si-cim/prototorch"
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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 = [
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"torch>=1.3.1",
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"torchvision>=0.5.0",
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"numpy>=1.9.1",
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"sklearn",
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]
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DATASETS = [
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"requests",
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"tqdm",
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]
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DEV = ["bumpversion"]
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DOCS = [
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"recommonmark",
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"sphinx",
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"sphinx_rtd_theme",
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"sphinxcontrib-katex",
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"sphinx-autodoc-typehints",
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]
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EXAMPLES = [
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"matplotlib",
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"torchinfo",
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]
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TESTS = ["codecov", "pytest"]
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ALL = DATASETS + DEV + DOCS + EXAMPLES + TESTS
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setup(
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name="prototorch",
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version="0.4.4",
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description="Highly extensible, GPU-supported "
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"Learning Vector Quantization (LVQ) toolbox "
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"built using PyTorch and its nn API.",
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long_description=long_description,
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long_description_content_type="text/markdown",
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author="Jensun Ravichandran",
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author_email="jjensun@gmail.com",
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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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install_requires=INSTALL_REQUIRES,
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extras_require={
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"docs": DOCS,
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"datasets": DATASETS,
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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 :: Console",
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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 :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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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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packages=find_packages(),
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zip_safe=False,
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)
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