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        "author": "George Sakkis",
        "author_email": "george.sakkis@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Memoized\n========\n\nThe common general versions of memoized decorators (`[1]`_, `[2]`_, `[3]`_) are\noften good enough but they incur some overhead that can be avoided in more\nspecial cases (`[4]`_). This package exposes a single callable, ``memoized``,\nthat picks an efficient memoization implementation based on the decorated\nfunction's signature and a few user provided options. The included benchmark\nfile gives an idea of the performance characteristics of the different possible\nimplementations.\n\nAdditionally, ``memoized`` allows:\n\n- Creating signature preserving decorators (through the decorator_ module).\n- Passing an external object as the underlying storage (e.g. an LRU cache)\n  instead of a dict that is used by default.\n\nMore options for customization and optimization may be added in the future.\n\n.. _[1]: http://wiki.python.org/moin/PythonDecoratorLibrary#Memoize\n.. _[2]: http://wiki.python.org/moin/PythonDecoratorLibrary#Alternate_memoize_as_nested_functions\n.. _[3]: http://wiki.python.org/moin/PythonDecoratorLibrary#Alternate_memoize_as_dict_subclass\n.. _[4]: http://code.activestate.com/recipes/578231-probably-the-fastest-memoization-decorator-in-the-/\n.. _decorator: https://pypi.python.org/pypi/decorator\n\n\nNews\n====\n\n0.3\n---\n\n* Python 3 compatibility.\n\n\n0.2\n---\n\n* Add ``hashable`` parameter.\n* Make it possible to use ``@memoized`` as equivalent of ``@memoized()``.\n\n0.1\n---\n\n* Initial release",
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        "license": "MIT",
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        "name": "memoized",
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