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146.lru-cache.cpp
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146.lru-cache.cpp
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/*
* @lc app=leetcode id=146 lang=cpp
*
* [146] LRU Cache
*
* https://leetcode.com/problems/lru-cache/description/
*
* algorithms
* Medium (35.07%)
* Likes: 7893
* Dislikes: 323
* Total Accepted: 713K
* Total Submissions: 2M
* Testcase Example: '["LRUCache","put","put","get","put","get","put","get","get","get"]\n[[2],[1,1],[2,2],[1],[3,3],[2],[4,4],[1],[3],[4]]'
*
* Design a data structure that follows the constraints of a Least Recently
* Used (LRU) cache.
*
* Implement the LRUCache class:
*
*
* LRUCache(int capacity) Initialize the LRU cache with positive size
* capacity.
* int get(int key) Return the value of the key if the key exists, otherwise
* return -1.
* void put(int key, int value) Update the value of the key if the key exists.
* Otherwise, add the key-value pair to the cache. If the number of keys
* exceeds the capacity from this operation, evict the least recently used
* key.
*
*
* Follow up:
* Could you do get and put in O(1) time complexity?
*
*
* Example 1:
*
*
* Input
* ["LRUCache", "put", "put", "get", "put", "get", "put", "get", "get", "get"]
* [[2], [1, 1], [2, 2], [1], [3, 3], [2], [4, 4], [1], [3], [4]]
* Output
* [null, null, null, 1, null, -1, null, -1, 3, 4]
*
* Explanation
* LRUCache lRUCache = new LRUCache(2);
* lRUCache.put(1, 1); // cache is {1=1}
* lRUCache.put(2, 2); // cache is {1=1, 2=2}
* lRUCache.get(1); // return 1
* lRUCache.put(3, 3); // LRU key was 2, evicts key 2, cache is {1=1, 3=3}
* lRUCache.get(2); // returns -1 (not found)
* lRUCache.put(4, 4); // LRU key was 1, evicts key 1, cache is {4=4, 3=3}
* lRUCache.get(1); // return -1 (not found)
* lRUCache.get(3); // return 3
* lRUCache.get(4); // return 4
*
*
*
* Constraints:
*
*
* 1 <= capacity <= 3000
* 0 <= key <= 3000
* 0 <= value <= 10^4
* At most 3 * 10^4 calls will be made to get and put.
*
*
*/
// @lc code=start
class LRUCache {
public:
LRUCache(int capacity) {
this->capacity = capacity;
root = new ListNode();
tail = root;
}
int get(int key) {
if (lruMap.count(key)) {
moveForward(root, lruMap[key]);
return lruMap[key]->value;
}
return -1;
}
void put(int key, int value) {
if (lruMap.count(key)) {
lruMap[key]->value = value;
moveForward(root, lruMap[key]);
} else {
ListNode* newNode = new ListNode(key, value);
if (capacity == lruMap.size()) {
//lruMap[tail->key] = nullptr;
lruMap.erase(tail->key);
remove(tail, true);
}
insert(root, newNode);
lruMap[key] = newNode;
}
}
private:
struct ListNode {
int key;
int value;
ListNode* next;
ListNode* last;
ListNode() : key(-1), value(-1), last(nullptr), next(nullptr) { }
ListNode(int k, int v) : key(k), value(v), last(nullptr), next(nullptr) { }
};
int capacity;
unordered_map<int, ListNode*> lruMap;
ListNode* root;
ListNode* tail;
void moveForward(ListNode* root, ListNode* node) {
if (!root || !node)
return;
remove(node);
insert(root, node);
}
void insert(ListNode* root, ListNode* node) {
if (!root || !node)
return ;
if (tail == root)
tail = node;
node->last = root;
node->next = root->next;
if (root->next)
root->next->last = node;
root->next = node;
}
void remove(ListNode* node, bool destroyed = false) {
if (!node)
return;
if (node == tail)
tail = node->last;
node->last->next = node->next;
if (node->next)
node->next->last = node->last;
if (destroyed)
delete node;
}
};
/**
* Your LRUCache object will be instantiated and called as such:
* LRUCache* obj = new LRUCache(capacity);
* int param_1 = obj->get(key);
* obj->put(key,value);
*/
// @lc code=end