fastcache 1.1.0

python 3 functools.lru_缓存的c实现。提供10-30倍的加速 超过标准库。通过标准库中的LRU缓存测试套件。

提供两个最近最少使用的缓存函数装饰器：

clru_cache - built-in (faster)

>>> from fastcache import clru_cache, __version__
>>> __version__
'1.1.0'
>>> @clru_cache(maxsize=325, typed=False)
... def fib(n):
...     """Terrible Fibonacci number generator."""
...     return n if n < 2 else fib(n-1) + fib(n-2)
...
>>> fib(300)
222232244629420445529739893461909967206666939096499764990979600
>>> fib.cache_info()
CacheInfo(hits=298, misses=301, maxsize=325, currsize=301)
>>> print(fib.__doc__)
Terrible Fibonacci number generator.
>>> fib.cache_clear()
>>> fib.cache_info()
CacheInfo(hits=0, misses=0, maxsize=325, currsize=0)
>>> fib.__wrapped__(300)
222232244629420445529739893461909967206666939096499764990979600
>>> type(fib)
>>> <class 'fastcache.clru_cache'>

lru_cache - python wrapper around clru_cache

>>> from fastcache import lru_cache
>>> @lru_cache(maxsize=128, typed=False)
... def f(a, b):
...     pass
...
>>> type(f)
>>> <class 'function'>

(c)lru_cache(maxsize=128, typed=False, state=None, unhashable=’error’)

Least-recently-used cache decorator.

If maxsize is set to None, the LRU features are disabled and the cache can grow without bound.

If typed is True, arguments of different types will be cached separately. For example, f(3.0) and f(3) will be treated as distinct calls with distinct results.

If state is a list or dict, the items will be incorporated into the argument hash.

The result of calling the cached function with unhashable (mutable) arguments depends on the value of unhashable:

If unhashable is ‘error’, a TypeError will be raised.

If unhashable is ‘warning’, a UserWarning will be raised, and the wrapped function will be called with the supplied arguments. A miss will be recorded in the cache statistics.

If unhashable is ‘ignore’, the wrapped function will be called with the supplied arguments. A miss will will be recorded in the cache statistics.

查看名为tuple的缓存统计信息（命中、未命中、maxsize、currsize） 使用f.cache_info（）。使用f.cache_clear（）清除缓存和统计信息。 使用f.\uu wrapped访问底层函数。

见：http://en.wikipedia.org/wiki/Cache_algorithms#Least_Recently_Used

标签：

• the
• cache
• be
• will
• lru
• functools
• fib
• maxsize

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