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