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。
c语言解法
- struct LRUInfo{
- int val;
- int value;
- struct LRUInfo* pre;
- struct LRUInfo* next;
- };
-
- typedef struct {
- int top;
- int total;
- struct LRUInfo * head;
- struct LRUInfo * rear;
- struct LRUInfo lruinfo[10001];
- } LRUCache;
-
- LRUCache* lRUCacheCreate(int capacity) {
- LRUCache* obj = calloc(1, sizeof(LRUCache));
- obj->total = capacity;
- obj->head = calloc(1, sizeof(struct LRUInfo));
- obj->rear = calloc(1, sizeof(struct LRUInfo));
- obj->head->next = obj->rear;
- obj->rear->pre = obj->head;
- return obj;
- }
-
- int lRUCacheGet(LRUCache* obj, int key) {
- if (obj->lruinfo[key].val == 1) {
- obj->lruinfo[key].pre->next = obj->lruinfo[key].next;
- obj->lruinfo[key].next->pre = obj->lruinfo[key].pre;
- obj->rear->pre->next = obj->lruinfo + key;
- obj->lruinfo[key].pre = obj->rear->pre;
- obj->lruinfo[key].next = obj->rear;
- obj->rear->pre = obj->lruinfo + key;
- return obj->lruinfo[key].value;
- }
- return -1;
- }
-
- void lRUCachePut(LRUCache* obj, int key, int value) {
- if (obj->lruinfo[key].val == 0 && obj->top < obj->total) {
- (obj->top)++;
- obj->rear->pre->next = obj->lruinfo + key;
- obj->lruinfo[key].pre = obj->rear->pre;
- obj->lruinfo[key].next = obj->rear;
- obj->lruinfo[key].val = 1;
- obj->lruinfo[key].value = value;
- obj->rear->pre = obj->lruinfo + key;
- } else if (obj->lruinfo[key].val == 1){
- obj->lruinfo[key].pre->next = obj->lruinfo[key].next;
- obj->lruinfo[key].next->pre = obj->lruinfo[key].pre;
- obj->rear->pre->next = obj->lruinfo + key;
- obj->lruinfo[key].pre = obj->rear->pre;
- obj->lruinfo[key].next = obj->rear;
- obj->lruinfo[key].value = value;
- obj->rear->pre = obj->lruinfo + key;
- } else if (obj->lruinfo[key].val == 0 && obj->top >= obj->total && obj->head->next != NULL) {
- obj->lruinfo[key].val = 1;
- obj->lruinfo[key].value = value;
- obj->rear->pre->next = obj->lruinfo + key;
- obj->lruinfo[key].pre = obj->rear->pre;
- obj->lruinfo[key].next = obj->rear;
- obj->rear->pre = obj->lruinfo + key;
- obj->head->next->val = 0;
- obj->head->next = obj->head->next->next;
- obj->head->next->pre = obj->head;
- }
- return;
- }
-
- void lRUCacheFree(LRUCache* obj) {
- free(obj);
- }
-
- /**
- * Your LRUCache struct will be instantiated and called as such:
- * LRUCache* obj = lRUCacheCreate(capacity);
- * int param_1 = lRUCacheGet(obj, key);
-
- * lRUCachePut(obj, key, value);
-
- * lRUCacheFree(obj);
- */
本题要实现LRU缓存实现双向链表的各个操作后即可解决,删除方法利用前驱节点的指针才能满足O(1)的时间复杂度,get方法利用前驱节点达到O(1)的时间复杂度
本题考察对LRU缓存的实现,考虑到各个方法的实现的时间复杂度要求在O(1),所以采用双向链表保证时间复杂度,最后实现各个方法即可解决