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    "info": {
        "author": "Christian Kaus",
        "author_email": "christian.kaus@hotmail.de",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: MacOS",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft",
            "Operating System :: Microsoft :: Windows :: Windows 7",
            "Operating System :: POSIX",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Topic :: Documentation",
            "Topic :: Documentation :: Sphinx",
            "Topic :: Education",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Medical Science Apps."
        ],
        "description": "========\nEpiPylib\n========\n\nEpiPylib is a collection of different epidemic models and fitting functions.\n\n* Features_\n* Documentation_\n* Installation_\n* Example_\n* Changelog_\n* License_\n\n.. _Features: https://github.com/ckaus/epipylib#features\n.. _Documentation: http://pythonhosted.org/epipylib\n.. _Installation: https://github.com/ckaus/epipylib/blob/master/INSTALL.rst\n.. _Example: https://github.com/ckaus/epipylib/blob/master/EXAMPLE.rst\n.. _Changelog: https://github.com/ckaus/epipylib/blob/master/CHANGELOG\n.. _License: https://github.com/ckaus/epipylib#license\n\nFeatures\n--------\n\nFitting functions:\n\n- Manual and optimized manipulation epidemic model parameters\n\nEpidemic models:\n\n- **S**\\usceptible **I**\\nfected **R**\\ecovered (Simple, With births and deaths, With Vaccine)\n- **S**\\usceptible **I**\\nfected **R**\\ecovered **S**\\usceptible (Simple, With births and deaths)\n- **S**\\usceptible **E**\\xposed **I**\\nfected **R**\\ecovered (Simple)\n\nLicense\n-------\n\nMIT_ license\n\n.. _MIT: https://github.com/ckaus/epipylib/blob/master/LICENSE",
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        "keywords": "epidemic",
        "license": "MIT License",
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        "name": "epipylib",
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        "summary": "Epidemic model library for fitting epidemic models.",
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