题目描述:
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:
LRUCache cache = new LRUCache( 2 /* capacity */ ); cache.put(1, 1); cache.put(2, 2); cache.get(1); // returns 1 cache.put(3, 3); // evicts key 2 cache.get(2); // returns -1 (not found) cache.put(4, 4); // evicts key 1 cache.get(1); // returns -1 (not found) cache.get(3); // returns 3 cache.get(4); // returns 4
代码:
1 class LRUCache(object): 2 3 def __init__(self, capacity): 4 """ 5 :type capacity: int 6 """ 7 self.dic = collections.OrderedDict() 8 self.remain = capacity 9 10 def get(self, key): 11 """ 12 :type key: int 13 :rtype: int 14 """ 15 if key not in self.dic: 16 return -1 17 v = self.dic.pop(key) 18 self.dic[key] = v # set key as the newest one 19 return v 20 21 def put(self, key, value): 22 """ 23 :type key: int 24 :type value: int 25 :rtype: None 26 """ 27 if key in self.dic: 28 self.dic.pop(key) 29 else: 30 if self.remain > 0: 31 self.remain -= 1 32 else: # self.dic is full 33 self.dic.popitem(last=False) 34 self.dic[key] = value 35 36 37 # Your LRUCache object will be instantiated and called as such: 38 # obj = LRUCache(capacity) 39 # param_1 = obj.get(key) 40 # obj.put(key,value)