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        "author": "S\u00e9bastien Keim",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Text Processing :: Markup"
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        "description": "############\r\nIntroduction\r\n############\r\n\r\nWith the dum module you can easily map data from structured files\r\nto a set of python classes. \r\nThe current version can be used with json, csv or xlm formats, \r\nmore are expected to come.\r\n\r\n\r\nParsing and projecting\r\n======================\r\n\r\nThe main idea is that your code is designed with objects that share more or less the same\r\norganization than the data in the original file.  With a few directives, it must then be possible \r\nto directly project the data parsed from the file to the class model of your application.\r\n\r\nFor sample a minimal (all the display methods are still to write...)  `Atom <https://en.wikipedia.org/wiki/Atom_%28standard%29>`_ application\r\ncould look like \r\n\r\n::\r\n    \r\n    class Author:\r\n        class dum: \r\n            name =\"\"\r\n            email=\"\"\r\n \r\n    class Link:\r\n        class dum:\r\n            rel=\"\"\r\n            href=\"\"\r\n\r\n    class Entry:\r\n        class dum:\r\n            title = \"\"\r\n            author = [Author]\r\n            link = [Link]\r\n            updated = dateutil.parser.parse\r\n\r\n    class Atom:\r\n        class dum:\r\n            title =\"\"\r\n            subtitle= \"\"\r\n            entry = [Entry]\r\n            link = [Link]\r\n            updated = dateutil.parser.parse\r\n        \r\n    atom = dum.xml(Atom, open(\"myrss\"))\r\n\r\n\r\n\r\n\r\nRequirements\r\n============\r\n\r\nThe library has been tested for Python 3.4 \r\nThere is no external dependencies.",
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