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        "author": "Brendon Hogger",
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.5",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Topic :: Office/Business",
            "Topic :: Software Development :: Libraries",
            "Topic :: Text Editors :: Word Processors",
            "Topic :: Text Processing",
            "Topic :: Text Processing :: Filters",
            "Topic :: Text Processing :: Markup"
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        "description": "========================================\npyth - Python text markup and conversion\n========================================\n\nPyth is intended to make it easy to convert marked-up text between different common formats.\n\n*Marked-up text* means text which has:\n\n* Paragraphs\n* Headings\n* Bold, italic, and underlined text\n* Hyperlinks\n* Bullet lists\n* Simple tables\n* Very little else\n\n\nFormats I initially want to support are:\n\n* xhtml\n* rtf\n* pdf (output)\n\n\nThese three formats cover web, Word / OpenOffice, and print. \n\n\nDesign principles\n=================\n\n* Ignore unsupported information in input formats (e.g. page layout)\n* Ignore font issues -- output in a single font.\n* Ignore specific text sizes -- support relative sizes (bigger, littler) only. Output in a single base size.\n* Have no dependencies unless they are written in Python, and work\n* Make it easy to add support for new formats, by using an architecture based on *plugins* and *adapters*.\n\n\n\nExamples\n========\n\nSee http://github.com/brendonh/pyth/tree/master/examples/\n\n\nUnit tests\n==========\n\nThe sources contains some unit tests (written using python unittest\nmodule) in the 'tests' directory.\n\nTo run the tests we can either run them individually as python script,\neither use `python nose`_.  If using nose then we just need to go into\nthe tests directory and invoke nosetest from there (make sure that\npyth module is in PYTHONPATH).\n\n.. _python nose: http://code.google.com/p/python-nose/",
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