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        "author": "Vivek Narayanan, Fl\u00e1vio Juvenal, Sam Zaydel. Python 3 support by Omer Hanetz",
        "author_email": "flaviojuvenal@gmail.com",
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            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: BSD License",
            "Topic :: Utilities"
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        "description": "# redis-simple-cache\nredis-simple-cache is a pythonic interface for creating a cache over redis.  \nIt provides simple decorators that can be added to any function to cache its return values.\n\nForked package with python 3 support.\nOriginal package is located here: https://github.com/vivekn/redis-simple-cache\n\nRequirements:\n-------------\nredis 3.2.1\n\nInstallation:\n-------------\n\n    pip install redis-simple-cache-3k\n\nor to get the latest version\n\n    git clone git://github.com/ohanetz/redis-simple-cache.git\n    cd redis-simple-cache\n    python setup.py install\n\nUsage:\n------\n\n    from redis_cache import cache_it_json\n\n    @cache_it_json(limit=1000, expire=60 * 60 * 24)\n    def fib(n):\n        if n == 0:\n            return 0\n        elif n == 1:\n            return 1\n        else:\n            return fib(n-1) + fib(n-2)\n\n`limit` is the maximum number of keys, `expire` is the expire time in seconds.  \nIt is always recommended to specify a expire time, since by default redis-server will only remove keys with an expire time set in a event of full memory. But if you wish your keys to never expire, set `expire` to `None`.  \n**Note that function arguments and result must be pickleable, since cache_it uses the pickle module.**\n\nIt is also possible to use redis-simple-cache as a object-oriented cache:\n        \n    >> from redis_cache import SimpleCache\n    >> c = SimpleCache(10)  # cache that has a maximum limit of 10 keys\n    >> c.store(\"foo\", \"bar\")\n    >> c.get(\"foo\")\n    'bar'\n    >> \"foo\" in c  # efficient membership test, time-complexity O(1)\n    True\n    >> len(c)  # efficient cardinality calculation, time-complexity O(1)\n    1\n    >> c.keys()  # returns all keys, time-complexity O(N) with N being the cache c cardinality\n    set(['foo'])\n    >> c.flush()  # flushes the cache, time-complexity O(N) with N being the cache c cardinality\n    >> \"foo\" in c\n    False\n    >> len(c)\n    0\n\nCheck out more examples in the test_rediscache.py file.\n\nAdvanced:\n---------\nAdvanced users can customize the decorators even more by passing a SimpleCache object. For example:\n    \n    my_cache = SimpleCache(limit=100, expire=60 * 60, hashkeys=True, host='localhost', port=6379, db=1, namespace='Fibonacci')\n    @cache_it(cache=my_cache)\n    def fib(n):\n        # ...\n\n`hashkeys` parameter makes the SimpleCache to store keys in md5 hash. It is `True` by default in decorators, but `False` by default in a new SimpleCache object.  \n`host`, `port` and `db` are the same redis config params used in StrictRedis class of redis-py.\nBy default, the `namespace` is the name of the module from which the decorated function is called, but it can be overridden with the `namespace` parameter. \n\nAUTHOR: Vivek Narayanan  \n\nCONTRIBUTORS: \n\nFl\u00e1vio Juvenal\n\nSam Zaydel  \n\nDavid Ng\n\nDJ Gilcrease\n\nJohannes Maximilian Toball\n\nRobert Marshall\n\nBen Hayden\n\n\nPython 3 support added by Omer Hanetz\n\nLICENSE: BSD",
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        "keywords": "decorator decorators redis cache",
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