Accessing the lru_cache cache

A common problem . How can I access the variable when the function is closed?

Specific problem . How can I access raw cache

from a python function wrapped in functools.lru_cache()

?

If I memoize a function (example taken from the docs ) ...

@lru_cache(maxsize=None)
def fib(n):
    if n < 2:
        return n
    return fib(n-1) + fib(n-2)

>>> [fib(n) for n in range(16)]
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610]

>>> fib.cache_info()
CacheInfo(hits=28, misses=16, maxsize=None, currsize=16)

      

        
        
        
      

    

It is defined here cache

: https://github.com/python/cpython/blob/f0851910eb8e711bf8f22165cb0df33bb27b09d6/Lib/functools.py#L491

When fib()

remembered, it lru_cache

adds cache_info()

and functions to the wrapper cache_clear()

. cache_clear()

has access to cache

, and I have access to cache_clear()

, so can I somehow use this to directly access cache

?