Design and implement a data structure for Least Recently Used (LRU) cache. It should support the following operations: get and set.
get(key) - Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1.
set(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.
Solution
双链表+hash表
tail: 指向新节点的位置
root: 指向要被删除的节点位置
entryFinder: 哈希表<key,node>
,记录所有节点
(LRU-Cache.py) download
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class Node :
def __init__ ( self , key , val ):
self . key = key
self . val = val
self . prev = None
self . next = None
class LRUCache ( object ):
def __init__ ( self , capacity ):
"""
:type capacity: int
"""
# LRU 的大小
self . capacity = capacity
# LRU 当前的大小
self . size = 0
# root 指向下一个要被删除的node
self . root = Node ( - 1 , - 1 )
# 记录一个被访问的node 顺序, tail指向上一次被访问的节点,新节点就插入在这里
self . tail = self . root
# hash<key, node> 记录所有node
self . entryFinder = {}
def get ( self , key ):
"""
:rtype: int
"""
entry = self . entryFinder . get ( key )
if entry == None :
return - 1
else :
self . renew ( entry )
return entry . val
def set ( self , key , value ):
"""
:type key: int
:type value: int
:rtype: nothing
"""
entry = self . entryFinder . get ( key )
# 新node
if entry == None :
entry = Node ( key , value )
self . entryFinder [ key ] = entry
# entry插入tail
self . tail . next = entry
entry . prev = self . tail
self . tail = entry
# Cache 没有满
if self . size < self . capacity :
self . size += 1
else :
# cache 已经慢 拿掉LRU
head = self . root . next
if head != None :
self . root . next = head . next
head . next . prev = self . root
del self . entryFinder [ head . key ]
else :
# 更新val和
entry . val = value
self . renew ( entry )
def renew ( self , entry ):
# 把entry 重新插入
if self . tail != entry :
# remove entry
prevNode = entry . prev
nextNode = entry . next
prevNode . next = nextNode
nextNode . prev = prevNode
# 把entry插入到tail后面并更新tail
entry . next = None
self . tail . next = entry
entry . prev = self . tail
self . tail = entry