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            "Development Status :: 5 - Production/Stable",
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            "License :: OSI Approved",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
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        "description": "# nb-clean\n\n`nb-clean` cleans Jupyter notebooks of cell execution counts, metadata, and\noutputs, preparing them for committing to version control. It provides a Git\nfilter to automatically clean notebooks before they are staged, and can also be\nused as a standalone tool outside Git or with other version control systems. It\ncan determine if a notebook is clean or not, which can be used as a check in\nyour continuous integration pipelines.\n\n## Installation\n\nTo install the latest release from [PyPI], use [pip]:\n\n```bash\npip install nb-clean\n```\n\nAlternately, in Python projects using [Poetry] or [Pipenv] for dependency\nmanagement, add `nb-clean` as a development dependency with\n`poetry add --dev nb-clean` or `pipenv install --dev nb-clean`. `nb-clean`\nrequires Python 3.6 or later.\n\n## Usage\n\n### Cleaning\n\nTo install a filter in an existing Git repository to automatically clean\nnotebooks before they are staged, run the following from the working tree:\n\n```bash\nnb-clean configure-git\n```\n\n`nb-clean` will configure a filter in the Git repository in which it is run, and\nwill not mutate your global or system Git configuration. To remove the filter,\nrun:\n\n```bash\nnb-clean unconfigure-git\n```\n\nAside from usage from a filter in a Git repository, you can also clean up a\nJupyter notebook manually with:\n\n```bash\nnb-clean clean -i original.ipynb -o cleaned.ipynb\n```\n\nor by passing the notebook contents on stdin:\n\n```bash\nnb-clean clean < original.ipynb > cleaned.ipynb\n```\n\n### Checking\n\nYou can check if a notebook is clean with:\n\n```bash\nnb-clean check -i notebook.ipynb\n```\n\nor by passing the notebook contents on stdin:\n\n```bash\nnb-clean check < notebook.ipynb\n```\n\n`nb-clean` will exit with status code 0 if the notebook is clean, and status\ncode 1 if it is not. `nb-clean` will also print details of cell execution\ncounts, metadata, and outputs it finds.\n\n## Copyright\n\nCopyright \u00a9 2017-2019 [Scott Stevenson].\n\n`nb-clean` is distributed under the terms of the [ISC licence].\n\n[isc licence]: https://opensource.org/licenses/ISC\n[pip]: https://pip.pypa.io/en/stable/\n[pipenv]: https://pipenv.readthedocs.io/en/latest/\n[poetry]: https://poetry.eustace.io/\n[pypi]: https://pypi.org/project/nb-clean/\n[scott stevenson]: https://scott.stevenson.io\n",
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