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[metadata] |
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name = pytorch-caney |
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version = attr: pytorch_caney.__version__ |
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description = Methods for pytorch deep learning applications |
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long_description = file: README.md |
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long_description_content_type = text/markdown |
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keywords = pytorch-caney, deep-learning, machine-learning |
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url = https://github.com/nasa-nccs-hpda/pytorch-caney |
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author = jordancaraballo |
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author_email = [email protected] |
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license = MIT |
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license_file = LICENSE.md |
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classifiers = |
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Development Status :: 4 - Beta |
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Intended Audience :: Developers |
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Intended Audience :: Science/Research |
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Topic :: Software Development :: Libraries :: Python Modules |
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License :: OSI Approved :: MIT License |
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Programming Language :: Python :: 3 :: Only |
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project_urls = |
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Documentation = https://github.com/nasa-nccs-hpda/pytorch-caney |
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Source = https://github.com/nasa-nccs-hpda/pytorch-caney |
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Issues = https://github.com/nasa-nccs-hpda/pytorch-caney/issues |
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[options] |
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packages = find: |
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zip_safe = True |
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include_package_data = True |
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platforms = any |
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python_requires = >= 3.7 |
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install_requires = |
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omegaconf |
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numpy |
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pandas |
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tqdm |
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xarray |
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rioxarray |
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numba |
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[options.extras_require] |
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test = |
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pytest |
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coverage[toml] |
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black |
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docs = |
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pdoc==8.0.1 |
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all = |
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%(docs)s |
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%(test)s |
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