覆盤
人生第三道 hard 題 , 不容易啊
第一次為了一道題重寫和優化虛擬碼 , 感覺清晰了許多
排查問題的時候花了一點時間 , 應該要寫一個列印連結串列的 helper 函式 , 做 tree 的題的時候也要一個列印 tree 的函式
錯誤先截圖下來 , 明天再覆盤 , 睡覺啦!!
圖片來源:https://zhuanlan.zhihu.com/p/34133067
第二版虛擬碼
DLinkedNode {
val
post
pre
}
LRUCache {
map[key]node
count
capacity
head
tail
}
init {
head.post=tail
tail.pre=head
count=0
capacity=capacity
}
get(k) {
if key in map
node=map[key]
if not at list head
moveToHead(node)
else
return -1
}
put(k,v) {
if in map
node = map[k]
node.val=v
moveToHead(node)
else
if list full
removeNode(tail.pre)
delete(map,k)
new=Node{v}
addNode(new)
map[k]=new
else
new=Node{v}
newNode = addNode(new)
map[k]=new
count++
}
// move node right after head
moveToHead(node) {
removeNode(node)
addNode(node)
}
// remove from list
removeNode(node) {
post=node.post
pre=node.pre
pre.post=post
post.pre=pre
}
// add node after head
addNode(node) {
head.post=node
node.pre=head
node.post=tail
tail.pre=node
}
go 實現
type DLinkedNode struct {
Key int
Val int
Next *DLinkedNode
Last *DLinkedNode
}
type LRUCache struct {
DMap map[int]*DLinkedNode
Count int
Capacity int
Head *DLinkedNode //dummy head
Tail *DLinkedNode //dummy tail
}
func Constructor(capacity int) LRUCache {
head:=DLinkedNode{}
tail:=DLinkedNode{}
head.Next=&tail
tail.Last=&head
return LRUCache{DMap:make(map[int]*DLinkedNode),Count:0,Capacity:capacity,Head:&head,Tail:&tail}
}
func (this *LRUCache) Get(key int) int {
if _,ok:=this.DMap[key];ok {
node:=this.DMap[key]
this.moveToHead(node)
return node.Val
} else {
return -1
}
}
func (this *LRUCache) Put(key int, value int) {
if _,ok:=this.DMap[key];ok {
node:=this.DMap[key]
node.Val=value
this.moveToHead(node)
} else {
if this.Count>=this.Capacity {
delete(this.DMap,this.Tail.Last.Key)
this.removeNode(this.Tail.Last)
new:=DLinkedNode{Val:value,Key:key}
this.addNode(&new)
this.DMap[key]=&new
} else {
new:=DLinkedNode{Val:value,Key:key}
this.addNode(&new)
this.DMap[key]=&new
this.Count++
}
}
}
func (t *LRUCache) moveToHead(node *DLinkedNode) {
t.removeNode(node)
t.addNode(node)
}
func (t *LRUCache) removeNode(node *DLinkedNode) {
next:=node.Next
last:=node.Last
last.Next=next
next.Last=last
}
func (t *LRUCache) addNode(node *DLinkedNode) {
headNext:=t.Head.Next
t.Head.Next=node
node.Last=t.Head
node.Next=headNext
headNext.Last=node
}
第一版虛擬碼:
type LRUCache struct {
NodeMap map[]
DataLinkedList DLList
}
func Constructor(capacity int) LRUCache {
}
func (this *LRUCache) Get(key int) int {
if key in map
if not in list head
del from list
insert into list top
return map[key].val
else
return -1
}
func (this *LRUCache) Put(key int, value int) {
if not in map
if list is not full
insert into list top // add node
insert into map
if list is full
remove tail data from list // remove node
remove tail data from map
insert into list top //add node
insert into map
if in map
delete node
insert into head
}
/**
* Your LRUCache object will be instantiated and called as such:
* obj := Constructor(capacity);
* param_1 := obj.Get(key);
* obj.Put(key,value);
*/
definition:
lru 關鍵在於引入了一個高效的快取淘汰機制
using a hashmap to store node in double linked list
a limit variable to constraint len of list
a double linked list
two key operation :
LRU initial :
hashmap make(map[int]Node)
count=0 // len of exist val
capacity=capicity // capacity of list
head node = new Node , head.pre=null //
tail node = new Node , tail.post=null
head.post=tail
tail=pre=head
pesudo code for Double Linked List:
DoubleLinkedNode Design
int key
int val
pre Node
post Node
addNode(node)
headPost = head.post
head.post=node
node.pre=head
node.post=headpost
headpost.pre=node
removeNode(node)
pre=node.pre
post=node.post
pre.post=post
post.pre=pre
moveToHead(node)
removeNode(node)
addNode(node)
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