题目
Design and implement a data structure for Least Recently Used (LRU) cache. It should support the following operations: get
and put
.
get(key)
- Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1.put(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.
The cache is initialized with a positive capacity.
Follow up:
Could you do both operations in O(1) time complexity?
Example:
1 | LRUCache cache = new LRUCache( 2 /* capacity */ ); |
思路
数据结构。
python中有序的哈希表: OrderedDict(), 存储的顺序按照进入字典的顺序。
- pop(key) - 得到key所对应的value
- popitem() - 得到最后一个进表的value
- popitem(last=False) - 得到第一个进表的value
代码
1 | class LRUCache(object): |