@@ -99,34 +99,34 @@ You can access documentation in the interpreter with Python's built-in help
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function::
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>>> import diskcache
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- >>> help(diskcache)
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+ >>> help(diskcache) # doctest: +SKIP
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The core of `DiskCache `_ is three data types intended for caching. `Cache `_
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objects manage a SQLite database and filesystem directory to store key and
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value pairs. `FanoutCache `_ provides a sharding layer to utilize multiple
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caches and `DjangoCache `_ integrates that with `Django `_::
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>>> from diskcache import Cache, FanoutCache, DjangoCache
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- >>> help(Cache)
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- >>> help(FanoutCache)
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- >>> help(DjangoCache)
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+ >>> help(Cache) # doctest: +SKIP
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+ >>> help(FanoutCache) # doctest: +SKIP
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+ >>> help(DjangoCache) # doctest: +SKIP
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Built atop the caching data types, are `Deque `_ and `Index `_ which work as a
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cross-process, persistent replacements for Python's ``collections.deque `` and
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``dict ``. These implement the sequence and mapping container base classes::
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>>> from diskcache import Deque, Index
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- >>> help(Deque)
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- >>> help(Index)
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+ >>> help(Deque) # doctest: +SKIP
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+ >>> help(Index) # doctest: +SKIP
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Finally, a number of `recipes `_ for cross-process synchronization are provided
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using an underlying cache. Features like memoization with cache stampede
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prevention, cross-process locking, and cross-process throttling are available::
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>>> from diskcache import memoize_stampede, Lock, throttle
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- >>> help(memoize_stampede)
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- >>> help(Lock)
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- >>> help(throttle)
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+ >>> help(memoize_stampede) # doctest: +SKIP
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+ >>> help(Lock) # doctest: +SKIP
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+ >>> help(throttle) # doctest: +SKIP
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Python's docstrings are a quick way to get started but not intended as a
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replacement for the `DiskCache Tutorial `_ and `DiskCache API Reference `_.
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