【Leetcode】 LRU Cache实现

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.

采用单链表,并通过STL库的map来提高搜索速度。


class LRUCache
{
public:
LRUCache(int capacity)
{
capacity_ = capacity;
length_ = 0;
list_ = NULL;
}
~LRUCache(){ Destroy();}
int get(int key);
void set(int key, int value);
void Print();
private:
struct ListNode
{
int key;
int value;
struct ListNode *next;
struct ListNode *pre;
ListNode(int k=-1,int val=-1, struct ListNode *p=NULL)
: key(k), value(val), next(p), pre(p){}
};
typedef struct ListNode ListNode; void Destroy();
void Delete(ListNode *node);
void DeleteRear();
ListNode* Find(int key);
ListNode* InsertFront(int key, int value); int length_;
int capacity_;
ListNode *list_;
map<int, ListNode*> map_;
}; //value is positive
//if not found, return -1
int LRUCache::get(int key)
{
int x;
ListNode *node(NULL);
if(map_.count(key))
{
node = map_.find(key)->second;
Delete(node);//do not free space
node->next = list_;
list_ = node;
return node->value;
}
else return -1;
} //if full, delete the least used, and insert into the head
void LRUCache::set(int key, int value)
{
ListNode *node(NULL);
if(map_.count(key))
{ //already in the list
node = map_.find(key)->second;
Delete(node);
node->value = value;
node->next = list_;
list_ = node;
}
else
{ //not found
node = InsertFront(key, value);
map_[key] = node;
if(length_ >= capacity_)
DeleteRear();
else
length_++;
}
} //return pointer to the node containing key
//if not found, return NULL
typename LRUCache::ListNode* LRUCache::Find(int key)
{
ListNode *list(list_); while(list && list->key != key)
list = list->next;
return (list!=NULL) ? list:NULL;
} //destroy singlely-linked list
void LRUCache::Destroy()
{
ListNode *pre(NULL); while(list_)
{
pre = list_;
list_ = list_->next;
delete pre;
}
map_.clear();
} void LRUCache::Delete(ListNode *node)
{ // do not free space
assert(node != NULL);
ListNode *pre(NULL), *cur(list_); while(cur != node)
{
pre = cur;
cur = cur->next;
}
assert(cur == node);
if(pre == NULL)
list_ = node->next;
else
pre->next = cur->next;
} void LRUCache::DeleteRear()
{
if(list_ == NULL) return;
ListNode *cur(list_), *pre(NULL); while(cur->next)
{
pre = cur;
cur = cur->next;
}
if(pre == NULL)
list_ = cur->next;
else
pre->next = cur->next;
map<int, ListNode*>::iterator it = map_.find(cur->key);
map_.erase(it);
delete cur;
} LRUCache::ListNode* LRUCache::InsertFront(int key, int val)
{
ListNode *node = new ListNode(key, val, list_);
list_ = node;
return node;
}
上一篇:服务容错保护断路器Hystrix之一:入门示例介绍(springcloud引入Hystrix的两种方式)


下一篇:Spring Cloud(四):服务容错保护 Hystrix【Finchley 版】