WebMar 25, 2024 · I'm using python lru_cache in pandas project: from functools import lru_cache for df_ia in pd.read_csv (file, chunksize=n,iterator=True, low_memory=False): @lru_cache (maxsize = None) def myfunc (df_ia): print ('my logic here') error: TypeError: 'Series' objects are mutable, thus they cannot be hashed WebMay 13, 2024 · functools.lru_cache () この関数は、大雑把に言ってしまうとメモ化をしてくれるようなデコレータになります。 公式ドキュメントの説明では、 Decorator to wrap a function with a memoizing callable that saves up to the maxsize most recent calls. It can save time when an expensive or I/O bound function is periodically called with the same …
python - Using functools.lru_cache on functions with constant but non ...
WebNov 4, 2024 · Python 3.7.8: "TypeError: Expected maxsize to be an integer or None" for lru_cache in line 780 #135 Closed MartinThoma opened this issue Nov 5, 2024 · 2 comments WebJun 2, 2016 · As the array is constant you can use a wrapper around the actual lru cached function and simply pass the key value to it: from functools import lru_cache, partial … hot hub lewisham
Python lru_cache with timeout · GitHub - Gist
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: WebAug 5, 2012 · Function lru_cache implementation for python 2.7: import time import functools import collections def lru_cache (maxsize = 255, timeout = None): """lru_cache (maxsize = 255, timeout = None) --> returns a decorator which returns an … Webcache() 的代码只有一行,调用了 lru_cache() 函数,传入一个参数 maxsize=None。lru_cache() 也是 functools 模块中的函数,查看 lru_cache() 的源码,maxsize 的默认值 … lindfield station