WebJan 25, 2024 · 3 Answers. Sorted by: 1. If anybody is interested, this can be solved by using getstate and setstate like this: from functools import lru_cache from copy import copy class Test: def __init__ (self): self.func = lru_cache (maxsize=None) (self._inner_func) def _inner_func (self, x): # In reality this will be slow-running return x def __getstate__ ... WebJan 15, 2024 · Underneath, the lru_cache decorator uses a dictionary to cache the calculated values. A hash function is applied to all the parameters of the target function to build the key of the dictionary, and the value is the return value of the function when those parameters are the inputs.
python - Using functools.lru_cache on functions with …
WebJun 3, 2016 · import numpy as np from functools import lru_cache, partial def foo (key, array): print ('%s:' % key, array) a = np.array ( [1,2,3]) Since NumPy arrays are not hashable, this will not work: @lru_cache (maxsize=None) def foo (key, array): print ('%s:' % key, array) foo (1, a) As expected you get following error: http://www.codebaoku.com/it-python/it-python-281042.html fsh floors and more
Python中的@cache怎么使用-PHP博客-李雷博客
WebApr 13, 2024 · Python 标准库中的functools和itertools模块,提供了一些函数式编程的工具函数。. functools 高阶函数 cache 与 lru_cache. 用户缓存函数值的装饰器,可以缓存 … WebOct 13, 2016 · If my understanding is correct, you can just use cache_clear on the decorated function. If you've filled the cache by running it, this clears all indicators for you, that is: function_of_interest.cache_clear () Should result in a cache_info of: CacheInfo (hits=0, misses=0, maxsize=None, currsize=0) Share. Improve this answer. WebFeb 18, 2024 · from functools import lru_cache, wraps @lru_cache (maxsize=1000) def validate_token (token): if token % 3: return None return True for x in range (1000): validate_token (x) print (validate_token.cache_info ()) outputs - CacheInfo (hits=0, misses=1000, maxsize=1000, currsize=1000) gifts for insect lovers