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        class MyCache(BytecodeCache):

            def __init__(self, directory):
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            def load_bytecode(self, bucket):
                filename = path.join(self.directory, bucket.key)
                if path.exists(filename):
                    with open(filename, 'rb') as f:
                        bucket.load_bytecode(f)

            def dump_bytecode(self, bucket):
                filename = path.join(self.directory, bucket.key)
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d�Zd�Zd�Zd�Zd�Zd	�Z	dS)�FileSystemBytecodeCachea�A bytecode cache that stores bytecode on the filesystem.  It accepts
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    is created for the user in the system temp directory.

    The pattern can be used to have multiple separate caches operate on the
    same directory.  The default pattern is ``'__jinja2_%s.cache'``.  ``%s``
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    Libraries compatible with this class:

    -   `cachelib <https://github.com/pallets/cachelib>`_
    -   `python-memcached <https://pypi.org/project/python-memcached/>`_

    (Unfortunately the django cache interface is not compatible because it
    does not support storing binary data, only unicode.  You can however pass
    the underlying cache client to the bytecode cache which is available
    as `django.core.cache.cache._client`.)

    The minimal interface for the client passed to the constructor is this:

    .. class:: MinimalClientInterface

        .. method:: set(key, value[, timeout])

            Stores the bytecode in the cache.  `value` is a string and
            `timeout` the timeout of the key.  If timeout is not provided
            a default timeout or no timeout should be assumed, if it's
            provided it's an integer with the number of seconds the cache
            item should exist.

        .. method:: get(key)

            Returns the value for the cache key.  If the item does not
            exist in the cache the return value must be `None`.

    The other arguments to the constructor are the prefix for all keys that
    is added before the actual cache key and the timeout for the bytecode in
    the cache system.  We recommend a high (or no) timeout.

    This bytecode cache does not support clearing of used items in the cache.
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