# 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 。
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# 实现 LRUCache 类:
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# 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。
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# 进阶:你是否可以在 O(1) 时间复杂度内完成这两种操作?
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# 示例:
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# 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]
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# 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
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# 提示:
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# 1 <= capacity <= 3000
# 0 <= key <= 3000
# 0 <= value <= 104
# 最多调用 3 * 104 次 get 和 put
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# 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 = None
class 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))