How can I implement an LRU cache in Python?
You can implement an LRU (Least Recently Used) cache in Python using the collections.OrderedDict
class. Would you like a code example?
Yes, please provide a code example.
Here's a simple implementation:
from collections import OrderedDict
class LRUCache:
def __init__(self, capacity: int):
self.cache = OrderedDict()
self.capacity = capacity
def get(self, key: int) -> int:
if key not in self.cache:
return -1
else:
self.cache.move_to_end(key)
return self.cache[key]
def put(self, key: int, value: int) -> None:
if key in self.cache:
self.cache.move_to_end(key)
self.cache[key] = value
if len(self.cache) > self.capacity:
self.cache.popitem(last=False)
How does this implementation handle cache eviction?
The implementation evicts the least recently used item when the cache exceeds its capacity by using popitem(last=False)
, which removes the first item in the ordered dictionary.
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