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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
;如果不存在,则向缓存中插入该组 key-value
。如果插入操作导致关键字数量超过 capacity
,则应该 逐出 最久未使用的关键字。函数 get
和 put
必须以 O(1)
的平均时间复杂度运行。
示例:
输入 ["LRUCache", "put", "put", "get", "put", "get", "put", "get", "get", "get"] [[2], [1, 1], [2, 2], [1], [3, 3], [2], [4, 4], [1], [3], [4]] 输出 [null, null, null, 1, null, -1, null, -1, 3, 4] 解释 LRUCache lRUCache = new LRUCache(2); lRUCache.put(1, 1); // 缓存是 {1=1} lRUCache.put(2, 2); // 缓存是 {1=1, 2=2} lRUCache.get(1); // 返回 1 lRUCache.put(3, 3); // 该操作会使得关键字 2 作废,缓存是 {1=1, 3=3} lRUCache.get(2); // 返回 -1 (未找到) lRUCache.put(4, 4); // 该操作会使得关键字 1 作废,缓存是 {4=4, 3=3} lRUCache.get(1); // 返回 -1 (未找到) lRUCache.get(3); // 返回 3 lRUCache.get(4); // 返回 4
LCR 031. LRU 缓存 - 力扣(LeetCode)
用一个哈希表和一个双端队列,队列里面存储key,哈希存value。get时把对应的key删除,放在队首。put时有旧的则删掉,size够了把队列的最后一个删掉。然后加入,并且覆盖哈希表里面的值。
- class LRUCache {
-
- private int capacity;
- private Map<Integer,Integer> cache;
- private Deque<Integer> queue;
-
- public LRUCache(int capacity) {
- this.capacity=capacity;
- this.cache=new HashMap<>();
- this.queue=new LinkedList<>();
- }
-
- public int get(int key) {
- if(cache.containsKey(key)){
- queue.remove(key);
- queue.offerFirst(key);
- return cache.get(key);
- }
- return -1;
- }
-
- public void put(int y, int value) {
- if(cache.containsKey(y)){
- queue.remove(y);
- }
- if(queue.size()==capacity){
- Integer oldKey=queue.pollLast();
- cache.remove(oldKey);
- }
- cache.put(y,value);
- queue.offerFirst(y);
- }
- }
- class Node {
- int data;
- Node next;
- Node prev;
-
- Node(int data) {
- this.data = data;
- }
- }
-
- class MyDeque {
- private Node front;
- private Node rear;
- private int size;
-
- public MyDeque() {
- front = null;
- rear = null;
- size = 0;
- }
-
- // 向队列前端添加元素
- public void offerFirst(int data) {
- Node newNode = new Node(data);
- if (isEmpty()) {
- front = newNode;
- rear = newNode;
- } else {
- newNode.next = front;
- front.prev = newNode;
- front = newNode;
- }
- size++;
- }
-
- // 移除指定元素
- public void remove(int key) {
- Node current = front;
- while (current != null) {
- if (current.data == key) {
- if (current == front) {
- pollFirst();
- } else if (current == rear) {
- pollLast();
- } else {
- current.prev.next = current.next;
- current.next.prev = current.prev;
- size--;
- }
- return;
- }
- current = current.next;
- }
- return;
- }
-
- // 从队列尾部移除元素
- public int pollLast() {
- if (isEmpty()) {
- return -1;
- }
- int removedData = rear.data;
- if (size == 1) {
- front = null;
- rear = null;
- } else {
- rear = rear.prev;
- rear.next = null;
- }
- size--;
- return removedData;
- }
- // 从队列前端移除元素
- public int pollFirst() {
- if (isEmpty()) {
- return -1;
- }
- int removedData = front.data;
- if (size == 1) {
- front = null;
- rear = null;
- } else {
- front = front.next;
- front.prev = null;
- }
- size--;
- return removedData;
- }
- // 判断队列是否为空
- public boolean isEmpty() {
- return size == 0;
- }
-
- // 获取队列大小
- public int size() {
- return size;
- }
-
- }
完整的双端队列:
- class Node {
- int data;
- Node next;
- Node prev;
-
- Node(int data) {
- this.data = data;
- }
- }
-
- public class MyDeque {
- private Node front;
- private Node rear;
- private int size;
-
- public MyDeque() {
- front = null;
- rear = null;
- size = 0;
- }
-
- // 向队列前端添加元素
- public void addFirst(int data) {
- Node newNode = new Node(data);
- if (isEmpty()) {
- front = newNode;
- rear = newNode;
- } else {
- newNode.next = front;
- front.prev = newNode;
- front = newNode;
- }
- size++;
- }
-
- // 向队列尾部添加元素
- public void addLast(int data) {
- Node newNode = new Node(data);
- if (isEmpty()) {
- front = newNode;
- rear = newNode;
- } else {
- rear.next = newNode;
- newNode.prev = rear;
- rear = newNode;
- }
- size++;
- }
-
- // 从队列前端移除元素
- public int removeFirst() {
- if (isEmpty()) {
- throw new IllegalStateException("队列为空");
- }
- int removedData = front.data;
- if (size == 1) {
- front = null;
- rear = null;
- } else {
- front = front.next;
- front.prev = null;
- }
- size--;
- return removedData;
- }
-
- // 从队列尾部移除元素
- public int removeLast() {
- if (isEmpty()) {
- throw new IllegalStateException("队列为空");
- }
- int removedData = rear.data;
- if (size == 1) {
- front = null;
- rear = null;
- } else {
- rear = rear.prev;
- rear.next = null;
- }
- size--;
- return removedData;
- }
-
- // 移除指定元素
- public void remove(int key) {
- Node current = front;
- while (current != null) {
- if (current.data == key) {
- if (current == front) {
- removeFirst();
- } else if (current == rear) {
- removeLast();
- } else {
- current.prev.next = current.next;
- current.next.prev = current.prev;
- size--;
- }
- return;
- }
- current = current.next;
- }
- throw new IllegalArgumentException("队列中没有该元素");
- }
-
- // 获取队列前端元素
- public int getFirst() {
- if (isEmpty()) {
- throw new IllegalStateException("队列为空");
- }
- return front.data;
- }
-
- // 获取队列尾部元素
- public int getLast() {
- if (isEmpty()) {
- throw new IllegalStateException("队列为空");
- }
- return rear.data;
- }
-
- // 判断队列是否为空
- public boolean isEmpty() {
- return size == 0;
- }
-
- // 获取队列大小
- public int size() {
- return size;
- }
-
- }
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