LeetCode | LRU Cache

2014-11-24 08:40:43 · 作者: · 浏览: 0

题目

Design and implement a data structure for Least Recently Used (LRU) cache. It should support the following operations: get and set.

get(key) - Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1.
set(key, value) - Set or insert the value if the key is not already present. When the cache reached its capacity, it should invalidate the least recently used item before inserting a new item.

分析

投机取巧的方法就是直接利用Java类库中提供的LinkedHashMap类,该类的作用之一就是辅助实现LRU Cache。

如果自己实现的话,可以参照LinkedHashMap的实现原理,用传统的HashMap实现O(1)时间复杂度的存取,再用一个双向链表纪录访问的先后顺序,最后访问的放在表尾,最久没被访问的放在表首,如果达到容量上限需要删除Entry时,根据表首元素,分别在HashMap和双向链表中进行删除。

代码

import java.util.LinkedHashMap;
import java.util.Map;

public class LRUCache {
	private int capacity;
	private Map
  
    map;

	public LRUCache(int c) {
		this.capacity = c;
		this.map = new LinkedHashMap
   
    (capacity, 0.75f, true) { private static final long serialVersionUID = 7499786237341382662L; protected boolean removeEldestEntry( Map.Entry
    
      eldest) { return size() > capacity; } }; } public int get(int key) { if (!map.containsKey(key)) { return -1; } return map.get(key); } public void set(int key, int value) { map.put(key, value); } }