public class LRUCache {
private int size;
private int cap;
private HashMap<Integer, Node> map = new HashMap<>();
private Node first;
private Node last;
public LRUCache(int cap) {
this.cap = cap;
}
public void put(int k, int v) {
if (map.containsKey(k)) {
//已包含、更新
Node node = map.get(k);
node.value = v;
//删除原节点
if (node.next == null) {
//尾
//do nothing
return;
} else if (node.pre == null) {
//头
first = first.next;
first.pre = null;
} else {
//中间
node.pre.next = node.next;
node.next.pre = node.pre;
}
//放到队尾
last.next = node;
node.pre = last;
last = node;
node.next = null;
} else {
//不包含、插入
Node node = new Node(k, v);
map.put(k, node);
if (last == null) {
last = node;
first = node;
} else {
//放到队尾
last.next = node;
node.pre = last;
last = node;
}
size++;
if (size > cap) {
//满了,淘汰头
map.remove(first.key);
first = first.next;
first.pre = null;
size--;
}
}
}
public Integer get(int k) {
Node node = map.get(k);
if (node == null) {
return -1;
} else {
//删除原节点
if (node.next == null) {
//尾
//do nothing
return node.value;
} else if (node.pre == null) {
//头
first = first.next;
first.pre = null;
} else {
//中间
node.pre.next = node.next;
node.next.pre = node.pre;
}
//放到队尾
last.next = node;
node.pre = last;
last = node;
node.next = null;
}
return node.value;
}
class Node {
Integer key;
Integer value;
Node pre;
Node next;
public Node(Integer key, Integer value) {
this.key = key;
this.value = value;
}
}
}
主要思路
- 使用HashMap实现get的O(1)。没有HashMap也可以实现,但是每次需要遍历整个列表。
- 使用双向链表实现put的O(1),维护node使用顺序。最久未使用的放在队头,最近使用的放在队尾,当容量达到设定的阈值,淘汰队头。
- get、put时,将node移动到队尾。
TODO:
- 代码有冗余,还有简化的空间
- 为了适应leetcode题目要求(https://leetcode-cn.com/problems/lru-cache-lcci/),使用了Integer作为了cache的泛型,实际可以用Object替换。
欣赏一下Leetcode耗时最短的写法
class LRUCache {
ListNode head;
ListNode tail;
Map<Integer, ListNode> map;
int capacity;
public LRUCache(int capacity) {
this.capacity = capacity;
map = new HashMap<>();
head = new ListNode(-1, -1);
tail = new ListNode(-1, -1);
head.next = tail;
tail.pre = head;
}
public int get(int key) {
if(!map.containsKey(key))
return -1;
ListNode node = map.get(key);
moveToTail(node);
return node.val;
}
public void put(int key, int value) {
if(map.containsKey(key)) {
ListNode node = map.get(key);
node.val = value;
moveToTail(node);
} else {
if(map.size() == capacity) {
map.remove(head.next.key);
head.next.next.pre = head;
head.next = head.next.next;
}
ListNode node = new ListNode(key, value);
tail.pre.next = node;
node.pre = tail.pre;
node.next = tail;
tail.pre = node;
map.put(key, node);
}
}
private void moveToTail(ListNode node) {
node.next.pre = node.pre;
node.pre.next = node.next;
node.pre = tail.pre;
node.next = tail;
tail.pre.next = node;
tail.pre = node;
}
}
class ListNode {
int val;
int key;
ListNode pre;
ListNode next;
ListNode(int key, int val) {
this.val = val;
this.key = key;
}
}