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        "author": "Ga\u00c3\u00abl Le Mignot",
        "author_email": "gael@pilotsystems.net",
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "This  simple  generic   cache  implementation  is  Copyright(c)  Pilot\r\nSystems, 2006-2008 and available under the terms of the GNU GPL v2.\r\n\r\nVersion information\r\n-------------------\r\n\r\nVersion 1.0.2, requires Python 2.4 or higher.\r\n\r\nFeatures\r\n--------\r\n\r\n- fast in memory caching of any object\r\n\r\n- transparent dictionnary-like usage\r\n\r\n- possibility to limit the cache size in number of objects\r\n\r\n- possibility to expire automatically objects after a given time of no update\r\n\r\n- thread-safe\r\n\r\nBasic usage\r\n-----------\r\n\r\nCreating a cache:\r\n\r\n  >>> from GenericCache.GenericCache import GenericCache\r\n  >>> c = GenericCache()\r\n\r\nStoring values:\r\n\r\n  >>> c[\"key\"] = \"value\"\r\n     or\r\n  >>> c.insert(\"key\", \"value\")\r\n\r\nRetrieving values:\r\n\r\n  >>> c[\"key\"]\r\n     or\r\n  >>> c.fetch(\"key\")\r\n\r\nNone is returned if no value is found in the cache. Fetch can take\r\nan optional value to fail with KeyError if no value is found.\r\n\r\n\r\nWarnings\r\n--------\r\n\r\n- in current implementation keys are converted into strings\r\n\r\n- object expiry for timeout is lazy, which means that objects stay in\r\n  the cache until someone try to access them, len() will still see\r\n  them; there is a collect() method to collect all timeouted objects,\r\n  but it may be slow.\r\n\r\nDecorator usage\r\n---------------\r\n\r\nThe decorator, for Python 2.4+, can be used to decorate any function\r\nor method. Here is an example:\r\n\r\n  >>> from GenericCache.GenericCache import GenericCache\r\n  >>> from GenericCache.decorators import cached\r\n  >>> cache = GenericCache()\r\n  >>> @cached(cache)\r\n  ... def add(x, y):\r\n  ...     print x, \"+\", y\r\n  ...     return x + y\r\n  ... \r\n  >>> add(2,3)\r\n  2 + 3\r\n  5\r\n  >>> add(2,3)\r\n  5\r\n  >>> add(2,4)\r\n  2 + 4\r\n  6\r\n  >>> add(2,4)\r\n  6\r\n  >>> add(2,3)\r\n  5\r\n  >>> \r\n  \r\nThe decorator  takes an optional parameter, a  marshaller that filter\r\nthe paramters of the function and converts it into a caching key (some\r\nparameters may be discarded, for example).",
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