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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
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        "description": "cachelper\n##########\n\n.. image:: https://travis-ci.org/suzaku/cachelper.svg?branch=master\n    :target: https://travis-ci.org/suzaku/cachelper\n.. image:: https://img.shields.io/pypi/v/cachelper.svg\n    :target: https://pypi.python.org/pypi/cachelper\n\nUseful cache helpers in one package!\n\n.. image:: https://app.codesponsor.io/embed/MY7qFCdB7bDgiBqdjtV9ASYi/suzaku/cachelper.svg\n    :width: 888px\n    :height: 68px\n    :alt: Sponsor\n    :target: https://app.codesponsor.io/link/MY7qFCdB7bDgiBqdjtV9ASYi/suzaku/cachelper\n\nInstall\n*******\n\n.. code-block:: bash\n\n    pip install cachelper\n\nHelpers\n*******\n\nIn memory cache\n===============\n\nmemoize\n---------------\n\nCaching function return values in memory.\n\n\n.. code-block:: python\n\n    import cachelper\n\n    @cachelper.memoize()\n    def fibo(n):\n        if n in (0, 1):\n            return 1\n        return fibo(n - 1) + fibo(n - 2)\n\n    fibo(10)\n\nCache with Redis/Memcached\n==============================\n\nUsing the HelperMixin\n---------------------\n\n``HelperMixin`` can be used with any cache client classes that implement the following methods:\n\n- ``def get(self, key)``\n- ``def set(self, key, value, timeout=None)``\n- ``def delete(self, key)``\n- ``def get_many(self, keys)``\n- ``def set_many(self, mapping, timeout=None)``\n\nFor example, `RedisCache` from `werkzeug` is one such class:\n\n.. code-block:: python\n\n    from redis import StrictRedis\n    from werkzeug.contrib.cache import RedisCache as _RedisCache\n\n    from cachelper import HelperMixin\n\n    class RedisCache(_RedisCache, HelperMixin):\n        '''werkzeug.contrib.cache.RedisCache mixed with HelperMixin'''\n\n        def get_many(self, keys):\n            return super().get_many(*keys)\n\n    rds = StrictRedis()\n    cache = RedisCache(rds)\n\nThis mixin defines these methods: ``call``, ``map``, ``__call__``.\nIf your class already defines methods of the same name, the mixin methods may not work correctly.\n\n\ncache decorator\n---------------\n\nAdd cache by decorating a function or method.\n\n.. code-block:: python\n\n    @cache(\"key-{user_id}\", timeout=300)\n    def get_name(user_id):\n        # Fetch user name from database\n        ...\n\nThe cache key template can also be a function which acts as a key factory:\n\n.. code-block:: python\n\n    def name_key(user_id):\n        return \"key-%s\" % user_id\n\n    @cache(name_key, timeout=300)\n    def get_name(user_id):\n        # Fetch user name from database\n        ...\n\nJust make sure the key factory function accepts the same parameters as the cached\nfunction and returns the key.\n\ncached function calls\n------------------------------\n\nSometimes we don't want to cache all calls to a specific function.\nSo the decorator is not suitable, we may cache the call instead the function in this case:\n\n\n.. code-block:: python\n\n    def get_name(user_id):\n        # Fetch user name from database\n        ...\n\n    user_id = 42\n    key = \"key-{user_id}\".format(user_id=user_id)\n    cache.call(lambda: get_name(user_id), key, timeout=300)\n\ncached multiple calls\n------------------------------\n\nFor most cache backends, it's much faster to get or set caches in bulk.\n\n.. code-block:: python\n\n    def get_name(user_id):\n        # Fetch user name from database\n        ...\n\n    user_ids = [1, 2, 42, 1984]\n    names = cache.map(\"key-{user_id}\", get_name, user_ids, timeout=300)\n",
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