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            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries",
            "Topic :: Utilities"
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        "description": "automan: a simple automation framework\n--------------------------------------\n\n|Travis Status|  |Appveyor Status|  |Coverage Status| |Documentation Status|\n\n.. |Travis Status| image:: https://travis-ci.org/pypr/automan.svg?branch=master\n  :target: https://travis-ci.org/pypr/automan\n\n.. |Appveyor Status| image:: https://ci.appveyor.com/api/projects/status/82mxewh71wodobdf\n  :target: https://ci.appveyor.com/project/prabhuramachandran/automan\n\n.. |Coverage Status| image:: https://codecov.io/gh/pypr/automan/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/pypr/automan\n\n.. |Documentation Status| image:: https://readthedocs.org/projects/automan/badge/?version=latest\n  :target: https://automan.readthedocs.io/en/latest/?badge=latest\n\n\nThis framework allows you to automate your computational pipelines.\n``automan`` is open source and distributed under the terms of the 3-clause BSD\nlicense.\n\nFeatures\n--------\n\nIt is designed to automate the drudge work of managing many numerical\nsimulations. As an automation framework it does the following:\n\n- helps you organize your simulations.\n- helps you orchestrate running simulations and then post-processing the\n  results from these.\n- helps you reuse code for the post processing of your simulation data.\n- execute all your simulations and post-processing with one command.\n- optionally distribute your simulations among other computers on your\n  network.\n\nThis greatly facilitates reproducibility. Automan is written in pure Python\nand is easy to install.\n\n\nInstallation\n-------------\n\nYou should be able to install automan using pip_ as::\n\n  $ pip install automan\n\nIf you want to run on the bleeding edge, you may also clone this repository,\nchange directory into the created directory and run either::\n\n  $ python setup.py install\n\nor::\n\n  $ python setup.py develop\n\n\n.. _pip: https://pip.pypa.io/en/stable/\n\n\nDocumentation\n-------------\n\nDocumentation for this project is available at https://automan.rtfd.io\n\nThere is a paper on ``automan`` that motivates and describes the software:\n\n- Prabhu Ramachandran, \"automan: A Python-Based Automation Framework for\n  Numerical Computing,\" in Computing in Science & Engineering, vol. 20, no. 5,\n  pp. 81-97, 2018. `doi:10.1109/MCSE.2018.05329818\n  <http://doi.ieeecomputersociety.org/10.1109/MCSE.2018.05329818>`_\n\nA draft of this paper is available here: https://arxiv.org/abs/1712.04786\n\nTo see a complete example of a research publication using this framework, see\nhere: https://gitlab.com/prabhu/edac_sph\n\nThe ``README.rst`` in that repository documents how to set everything up. The\nscripts to look at are in ``common.py`` and ``automate.py``.\n\nA simpler example project which uses automan is here:\nhttps://github.com/mesnardo/automan-example\n\n\n\nThe package name\n----------------\n\nThe name automan comes from an old serial with the same name.  Most\nother names were taken on pypi.\n\n\n",
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