lrucache = OrderedDict() def get(self, key: int) -> int: # 说明在缓存中,重新移动字典的尾部 if key in self.lrucache: self.lrucache.move_to_end(key) return self.lrucache.get(key, -1) def put(self, key: int, value: int) -> None: # 如果存在,删掉,重新赋值 if key in self.lru...
problem :https://leetcode.com/problems/lru-cache/ 这道题的想法是维护三个数组,一个data记录实际的key-value数据,一个LRU的list记录LRU数据,一个pos记录每个数字所在的链表的位置。 对于LRU而言,每次访问到了出现过的数字,我们需要快速地将原有数字移到末尾处。因此可以想到能够使用list来实现快速删除、插入的操...
链接:leetcode-cn.com/problem 题目描述: 运用你所掌握的数据结构,设计和实现一个 LRU (最近最少使用) 缓存机制。它应该支持以下操作: 获取数据 get和 写入数据 put。 获取数据 get(key) - 如果密钥 (key) 存在于缓存中,则获取密钥的值(总是正数),否则返回 -1。写入数据 put(key, value) - 如果密钥不...
Problem Solution 1. Solution with Time Limit Exceeded Note: unordered_map + list, 使用unordered_map记录相应的key-value, 使用list记录cache中的key值,但算法会出现超时,主要原因是操作list的删除和查找需要耗费较多的时间,导致超时 classLRUCache{private: unordered_map<int,int> mp;//key is the cache num...
请你设计并实现一个满足LRU (最近最少使用) 缓存约束的数据结构。 实现LRUCache类: LRUCache(int capacity)以正整数作为容量capacity初始化 LRU 缓存 int get(int key)如果关键字key存在于缓存中,则返回关键字的值,否则返回-1。 void put(int key, int value)如果关键字key已经存在,则变更其数据值value;如果...
Hope this post is not irrelevant to codeforces. I've spent lots of hours on this problem but just can't figure out what the problem is with my code. The OJ gives Runtime Error. Can anyone help me? Thanks a lot! classLRUCache{private:intcap;deque<int>keyList;map<int,deque<int>::...
Problem: 思路 首先想到map来存放key和value,其次想到用一个队列来实现存放key的次序(这里用一个数组实现了类似的功能),这样就能实现最前方时最新的最后是最旧的数据。在put方法里面 Java 1 33 0 CL-CT ・ 2025.04.07 【C++】146. LRU 缓存 Problem: 思路 采用双向链表+哈希表的思路 Code C++ 双向链表 链表...
I've spent lots of hours on this problem but just can't figure out what the problem is with my code. The OJ gives Runtime Error. Can anyone help me? Thanks a lot! class LRUCache{ private: int cap; deque<int> keyList; map<int, deque<int>::iterator> pos; map<int, int> key2...
Can you solve this real interview question? LRU Cache - Design a data structure that follows the constraints of a Least Recently Used (LRU) cache [https://en.wikipedia.org/wiki/Cache_replacement_policies#LRU]. Implement the LRUCache class: * LRUCache(
LeetCode "LRU Cache" 1A. It is a design problem actually. It tests your ability to connect your knowledge of data structures & algorithms, with real world problems. classLRUCache{private: deque<int> q;//by keyunordered_map<int,int>hash;int_capacity;public:...