How can one interact with the LRU Cache in Python?
Python’s functool module has provided functionality to interact with the LRU Cache since Python 3.2. The functool module offers a decorator that can be placed atop a Class of a function in Python. When used on functions that require large amounts of variable access and change operations, using the LRU Cache offers massive speed-up.
Example:
import functools @functools.lru_cache(maxsize = None) def gfg(): # insert function logic here pass |
Alternatively, the maxsize can be changed to suit one’s own preference. The value is measured in kbs, and maxsize takes an integer argument
Clear LRU Cache in Python
The LRU is the Least Recently Used cache. LRU Cache is a type of high-speed memory, that is used to quicken the retrieval speed of frequently used data. It is implemented with the help of Queue and Hash data structures.
Note: For more information, refer to Python – LRU Cache
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