{
    "info": {
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        "author_email": "yashanantha@outlook.com",
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        "classifiers": [
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        "description": "<a href=\"https://github.com/nteract/papermill\"><img src=\"https://media.githubusercontent.com/media/nteract/logos/master/nteract_papermill/exports/images/png/papermill_logo_wide.png\" height=\"48px\" /></a>\n=======================================================================================================================================================================\n\n<!---(binder links generated at https://mybinder.readthedocs.io/en/latest/howto/badges.html and compressed at https://tinyurl.com) -->\n[![Travis Build Status](https://travis-ci.org/nteract/papermill.svg?branch=master)](https://travis-ci.org/nteract/papermill)\n[![Azure Build Status](https://dev.azure.com/nteract/nteract/_apis/build/status/nteract.papermill?branchName=master)](https://dev.azure.com/nteract/nteract/_build/latest?definitionId=5&branchName=master)\n[![image](https://codecov.io/github/nteract/papermill/coverage.svg?branch=master)](https://codecov.io/github/nteract/papermill?branch=master)\n[![Documentation Status](https://readthedocs.org/projects/papermill/badge/?version=latest)](http://papermill.readthedocs.io/en/latest/?badge=latest)\n[![badge](https://tinyurl.com/ybwovtw2)](https://mybinder.org/v2/gh/nteract/papermill/master?filepath=binder%2Fprocess_highlight_dates.ipynb)\n[![badge](https://tinyurl.com/y7uz2eh9)](https://mybinder.org/v2/gh/nteract/papermill/master?filepath=binder%2Fcli-simple%2Fcli_example.ipynb)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n\n**papermill for CI/CD** is a tool for parameterizing, executing, and analyzing\nJupyter Notebooks.\n\nPapermill lets you:\n\n-   **parameterize** notebooks\n-   **execute** notebooks\n\nThis opens up new opportunities for how notebooks can be used. For\nexample:\n\n-   Perhaps you have a financial report that you wish to run with\n    different values on the first or last day of a month or at the\n    beginning or end of the year, **using parameters** makes this task\n    easier.\n-   Do you want to run a notebook and depending on its results, choose a\n    particular notebook to run next? You can now programmatically\n    **execute a workflow** without having to copy and paste from\n    notebook to notebook manually.\n\n## Modifications to original library\n- This is forked from [papermill](https://github.com/nteract/papermill)\n- This works with [run-notebook](https://github.com/marketplace/actions/run-notebook) github action\n- The output from notebook goes to a `stdout` and to a file called `papermill-nb-runner.out` if `log_output` option is set\n- Skips executing any cells that has `debug` tag in them\n\n## Installation\n\nFrom the command line:\n\n``` {.sourceCode .bash}\npip install papermill\n```\n\nFor all optional io dependencies, you can specify individual bundles\nlike `s3`, or `azure` -- or use `all`\n\n``` {.sourceCode .bash}\npip install papermill[all]\n```\n\n## Python Version Support\n\nThis library will support python 2.7 and 3.5+ until end-of-life for python 2 in 2020. After which python 2 support will halt and only 3.x version will be maintained.\n\n## Usage\n\n### Parameterizing a Notebook\n\nTo parameterize your notebook designate a cell with the tag ``parameters``.\n\n![enable parameters in Jupyter](docs/img/enable_parameters.gif)\n\nPapermill looks for the ``parameters`` cell and treats this cell as defaults for the parameters passed in at execution time. Papermill will add a new cell tagged with ``injected-parameters`` with input parameters in order to overwrite the values in ``parameters``. If no cell is tagged with ``parameters`` the injected cell will be inserted at the top of the notebook.\n\nAdditionally, if you rerun notebooks through papermill and it will reuse the ``injected-parameters`` cell from the prior run. In this case Papermill will replace the old ``injected-parameters`` cell with the new run's inputs.\n\n![image](docs/img/parameters.png)\n\n### Executing a Notebook\n\nThe two ways to execute the notebook with parameters are: (1) through\nthe Python API and (2) through the command line interface.\n\n#### Execute via the Python API\n\n``` {.sourceCode .python}\nimport papermill as pm\n\npm.execute_notebook(\n   'path/to/input.ipynb',\n   'path/to/output.ipynb',\n   parameters = dict(alpha=0.6, ratio=0.1)\n)\n```\n\n#### Execute via CLI\n\nHere's an example of a local notebook being executed and output to an\nAmazon S3 account:\n\n``` {.sourceCode .bash}\n$ papermill local/input.ipynb s3://bkt/output.ipynb -p alpha 0.6 -p l1_ratio 0.1\n```\n\n**NOTE:**\nIf you use multiple AWS accounts, and you have [properly configured your AWS  credentials](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html), then you can specify which account to use by setting the `AWS_PROFILE` environment variable at the command-line. For example:\n\n``` {.sourceCode .bash}\n$ AWS_PROFILE=dev_account papermill local/input.ipynb s3://bkt/output.ipynb -p alpha 0.6 -p l1_ratio 0.1\n```\n\nIn the above example, two parameters are set: ``alpha`` and ``l1_ratio`` using ``-p`` (``--parameters`` also works). Parameter values that look like booleans or numbers will be interpreted as such. Here are the different ways users may set parameters:\n\n``` {.sourceCode .bash}\n$ papermill local/input.ipynb s3://bkt/output.ipynb -r version 1.0\n```\n\nUsing ``-r`` or ``--parameters_raw``, users can set parameters one by one. However, unlike ``-p``, the parameter will remain a string, even if it may be interpreted as a number or boolean.\n\n``` {.sourceCode .bash}\n$ papermill local/input.ipynb s3://bkt/output.ipynb -f parameters.yaml\n```\n\nUsing ``-f`` or ``--parameters_file``, users can provide a YAML file from which parameter values should be read.\n\n``` {.sourceCode .bash}\n$ papermill local/input.ipynb s3://bkt/output.ipynb -y \"\nalpha: 0.6\nl1_ratio: 0.1\"\n```\n\nUsing ``-y`` or ``--parameters_yaml``, users can directly provide a YAML string containing parameter values.\n\n``` {.sourceCode .bash}\n$ papermill local/input.ipynb s3://bkt/output.ipynb -b YWxwaGE6IDAuNgpsMV9yYXRpbzogMC4xCg==\n```\n\nUsing ``-b`` or ``--parameters_base64``, users can provide a YAML string, base64-encoded, containing parameter values.\n\nWhen using YAML to pass arguments, through ``-y``, ``-b`` or ``-f``, parameter values can be arrays or dictionaries:\n\n``` {.sourceCode .bash}\n$ papermill local/input.ipynb s3://bkt/output.ipynb -y \"\nx:\n    - 0.0\n    - 1.0\n    - 2.0\n    - 3.0\nlinear_function:\n    slope: 3.0\n    intercept: 1.0\"\n```\n\n#### Supported Name Handlers\n\nPapermill supports the following name handlers for input and output paths during execution:\n\n * Local file system: `local`\n\n * HTTP, HTTPS protocol:  `http://, https://`\n\n * Amazon Web Services: [AWS S3](https://aws.amazon.com/s3/) `s3://`\n\n * Azure: [Azure DataLake Store](https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-overview), [Azure Blob Store](https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blobs-overview) `adl://, abs://`\n\n * Google Cloud: [Google Cloud Storage](https://cloud.google.com/storage/) `gs://`\n\nDevelopment Guide\n-----------------\n\nRead [CONTRIBUTING.md](./CONTRIBUTING.md) for guidelines on how to setup a local development environment and make code changes back to Papermill.\n\nFor development guidelines look in the [DEVELOPMENT_GUIDE.md](./DEVELOPMENT_GUIDE.md) file. This should inform you on how to make particular additions to the code base.\n\nDocumentation\n-------------\n\nWe host the [Papermill documentation](http://papermill.readthedocs.io)\non ReadTheDocs.",
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