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Question: Design a thread-safe Least Recently Used cache with O(1) average time complexity for get and put operations. Discuss concurrency considerations.

Solution: We use a hash map for constant-time access and a doubly linked list to maintain usage order. A mutex ensures thread safety. On access, nodes move to the front. Eviction removes the tail. This design balances performance and correctness.

from threading import Lock

class LRUCache:
def __init__(self, capacity):
self.cap = capacity
self.map = {}
self.order = []
self.lock = Lock()

def get(self, key):
with self.lock:
if key not in self.map:
return -1
self.order.remove(key)
self.order.insert(0, key)
return self.map[key]

def put(self, key, value):
with self.lock:
if key in self.map:
self.order.remove(key)
elif len(self.map) == self.cap:
old = self.order.pop()
del self.map[old]
self.map[key] = value
self.order.insert(0, key)


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