# 运用你所掌握的数据结构,设计和实现一个 LRU (最近最少使用) 缓存机制 。#### 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) 如果关键字已经存在,则变更其数据值;如果关键字不存在,则插入该组「关键字-值」。当缓存容量达到上# 限时,它应该在写入新数据之前删除最久未使用的数据值,从而为新的数据值留出空间。####### 进阶:你是否可以在 O(1) 时间复杂度内完成这两种操作?#### 示例:### 输入# ["LRUCache", "put", "put", "get", "put", "get", "put", "get", "get", "get"]# [[2], [1, 1], [2, 2], [1], [3, 3], [2], [4, 4], [1], [3], [4]]# 输出# [null, null, null, 1, null, -1, null, -1, 3, 4]## 解释# LRUCache lRUCache = new LRUCache(2);# lRUCache.put(1, 1); // 缓存是 {1=1}# lRUCache.put(2, 2); // 缓存是 {1=1, 2=2}# lRUCache.get(1); // 返回 1# lRUCache.put(3, 3); // 该操作会使得关键字 2 作废,缓存是 {1=1, 3=3}# lRUCache.get(2); // 返回 -1 (未找到)# lRUCache.put(4, 4); // 该操作会使得关键字 1 作废,缓存是 {4=4, 3=3}# lRUCache.get(1); // 返回 -1 (未找到)# lRUCache.get(3); // 返回 3# lRUCache.get(4); // 返回 4##### 提示:### 1 <= capacity <= 3000# 0 <= key <= 3000# 0 <= value <= 104# 最多调用 3 * 104 次 get 和 put## Related Topics 设计# 👍 1039 👎 0# leetcode submit region begin(Prohibit modification and deletion)class Node(object): def __init__(self, key=0, value=0): self.key = key self.value = value self.pre = None self.next = Noneclass LRUCache(object): def __init__(self, capacity): """ :type capacity: int """ self.cache = dict() self.capacity = capacity self.size = 0 self.head = Node() self.tail = Node() self.head.next = self.tail self.tail.pre = self.head def get(self, key): """ :type key: int :rtype: int """ if key in self.cache: node = self.cache[key] self.moveToHead(node) return node.value else: return -1 def put(self, key, value): """ :type key: int :type value: int :rtype: None """ if key in self.cache: node = self.cache[key] node.value = value self.moveToHead(node) else: node = Node(key, value) self.cache[key] = node self.addToHead(node) self.size += 1 if self.size > self.capacity: removed = self.removeTail() self.cache.pop(removed.key) self.size -= 1 def addToHead(self, node): node.pre = self.head node.next = self.head.next self.head.next.pre = node self.head.next = node def removeNode(self, node): node.pre.next = node.next node.next.pre = node.pre def moveToHead(self, node): self.removeNode(node) self.addToHead(node) def removeTail(self): node = self.tail.pre self.removeNode(node) return node# Your LRUCache object will be instantiated and called as such:# obj = LRUCache(capacity)# param_1 = obj.get(key)# obj.put(key,value)# leetcode submit region end(Prohibit modification and deletion)obj = LRUCache(2)obj.put(1, 1)obj.put(2, 2)obj.get(1)obj.put(3, 3)print(obj.get(2))