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Python module cachetools example analysis, I believe that many inexperienced people do not know what to do, so this paper summarizes the causes of the problem and solutions, through this article I hope you can solve this problem.

Preface

Cachetools is a Python module that provides a variety of memory collections and modifiers, including the @ lru_cache function modifier of the Python 3 standard library.

> > from cachetools import LRUCache > cache = LRUCache (maxsize=2) > cache.update ([('first', 1), (' second', 2)]) > cacheLRUCache ([('second', 2), (' first', 1)], maxsize=2, currsize=2) > > cache ['third'] = 3 > cacheLRUCache ([(' second', 2), ('third', 3)], maxsize=2, currsize=2) > > cache [' second'] 2 > > cache ['fourth'] = 4 > > cacheLRUCache ([(' second', 2), ('fourth', 4)]] Maxsize=2, currsize=2) after reading the above content Have you mastered the method of sample analysis of the Python module cachetools? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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