LeetCode OJ-- LRU Cache ***@
https://oj.leetcode.com/problems/lru-cache/
涨姿势的一道题,相当于实现一种数据结构,实现最近最少使用数据结构。
// 用来记录 前后节点都是什么 类似链表上的节点
struct DataNode{
int key, value;
DataNode *prev, *next;
DataNode(int _key, int _value){
key = _key;
value = _value;
prev = NULL;
next = NULL;
}
};
class LRUCache{
public:
int capacity;
DataNode *head;
DataNode *tail;
//用来快速查找,key在不在。本来用stack最自然了,但是它不支持中间位置的删除元素操作
map<int,DataNode*> cache; LRUCache(int capacity) {
this->capacity = capacity;
head = NULL;
tail = NULL;
}
void moveToHead(DataNode *p)
{
if(p == head) // p is head
return;
if(p == tail)
{
tail = p->prev;
tail->next = NULL; p->prev = NULL;
p->next = head;
head->prev = p;
head = p;
}
else
{
p->prev->next = p->next;
p->next->prev = p->prev; p->prev = NULL;
p->next = head;
head->prev = p;
head = p;
}
}
//取得值,并把这个值的node挪到最前面,相当于使用了一次了
int get(int key) {
if(cache.count(key) == )
return -;
DataNode *p = cache[key];
moveToHead(p);
return p->value;
}
//如果不存在,则插入到最前面。如果存在则设置值,并把这个值的node挪到最前面,相当于使用了一次了
void set(int key, int value) {
if(cache.count(key) == ) //本来不包含
{
DataNode *p = new DataNode(key,value);
cache.insert(make_pair(key,p)); if(head == NULL)
{
head = p;
tail = p;
}
else // p is new head
{
p->prev = NULL;
p->next = head;
head->prev = p;
head = p;
}
// remove tail
if(cache.size() > capacity)
{
cache.erase(tail->key);
tail = tail->prev;
tail->next = NULL;
}
}
else
{
DataNode *p = cache[key];
p->value = value;
moveToHead(p);
}
}
};
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