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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Software Development :: Code Generators",
            "Topic :: Software Development :: Testing :: Traffic Generation"
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        "description": "\n.. image:: docs/_static/transformer.png\n   :alt: Transformer logo\n   :align: center\n\n|\n\n.. image:: https://travis-ci.org/zalando-incubator/Transformer.svg?branch=master\n   :alt: travis-ci status badge\n   :target: https://travis-ci.org/zalando-incubator/Transformer\n\n.. image:: https://badgen.net/pypi/v/har-transformer\n   :alt: pypi version badge\n   :target: https://pypi.org/project/har-transformer\n\n.. image:: https://api.codacy.com/project/badge/Grade/10b3feb4e4814429bf288b87443a6c72\n   :alt: code quality badge\n   :target: https://www.codacy.com/app/thilp/Transformer\n\n.. image:: https://api.codacy.com/project/badge/Coverage/10b3feb4e4814429bf288b87443a6c72\n   :alt: test coverage badge\n   :target: https://www.codacy.com/app/thilp/Transformer\n\n.. image:: https://badgen.net/badge/code%20style/black/000\n   :alt: Code style: Black\n   :target: https://github.com/ambv/black\n\n\nTransformer\n***********\n\nA **command-line tool** and **Python library** to convert web browser sessions\n(`HAR`_ files) into Locust_ load test scenarios (\"locustfiles\").\n\n.. _HAR: https://en.wikipedia.org/wiki/.har\n.. _Locust: https://locust.io/\n\nUse it to **replay HAR files** (storing recordings of interactions with your\nwebsite) **in load tests** with Locust_.\n\n.. contents::\n   :local:\n\nInstallation\n============\n\nInstall from PyPI::\n\n   pip install har-transformer\n\nUsage\n=====\n\nExample HAR files are included in the ``examples/`` directory, try them\nout.\n\nCommand-line\n------------\n\n.. code:: bash\n\n   transformer my_har_files_directory/ >locustfile.py\n\nLibrary\n-------\n\n.. code:: python\n\n   import transformer\n\n   with open(\"locustfile.py\", \"w\") as f:\n       transformer.dump(f, [\"my_har_files_directory/\"])\n\nDocumentation\n=============\n\nTake a look at our documentation_ for more details, including how to **generate\nHAR files**, **customize your scenarios**, use or write **plugins**, etc.\n\n.. _documentation: https://transformer.readthedocs.io/\n\nAuthors\n=======\n\n- **Serhii Cherniavskyi** \u2014 `@scherniavsky <https://github.com/scherniavsky>`_\n\n- **Thibaut Le Page** \u2014 `@thilp <https://github.com/thilp>`_\n\n- **Brian Maher** \u2014 `@bmaher <https://github.com/bmaher>`_\n\n- **Oliwia Zaremba** \u2014 `@tortila <https://github.com/tortila>`_\n\nSee also the list of contributors_ to this project.\n\n.. _contributors: https://transformer.readthedocs.io/en/latest/Contributors.html\n\nLicense\n=======\n\nThis project is licensed under the MIT license \u2014 see the LICENSE.md_ file for\ndetails.\n\n.. _LICENSE.md: https://github.com/zalando-incubator/Transformer/blob/master\n   /LICENSE.md\n",
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