how to use lru cache python
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LRU (Least Recently Used) Cache is a popular caching strategy that keeps track of the recently used items and discards the least recently used items first. Python provides a built-in module called functools with a decorator called lru_cache that makes it easy to implement an LRU cache in your functions. In this tutorial, we'll explore how to use lru_cache in Python with a step-by-step guide and code examples.
LRU Cache is a memory management technique that helps improve the efficiency of a program by storing a limited number of items and removing the least recently used item when the cache reaches its limit. This is especially useful when dealing with computationally expensive functions or operations that involve repeated calculations.
The functools module in Python provides a decorator called lru_cache that can be applied to functions to enable caching. Let's go through the steps of using lru_cache with a simple example.
Decorate the function you want to cache with the lru_cache decorator. You can specify the maximum size of the cache using the maxsize parameter.
In this example, the example_function will cache results based on its arguments, and the cache will store up to 128 unique calls.
Now, you can use the example_function as usual. The caching mechanism will store the results of previous calls and reuse them if the same arguments are provided again.
If you need to clear the cache manually, you can use the example_function.cache_clear() method.
This will remove all entries from the cache, and subsequent calls to the function will recalculate the results.
Here's a complete example demonstrating the use of lru_cache:
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