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" alt="" />
题目地址 : https://www.patest.cn/contests/gplt/L2-011
和之前那题很像,不明白为什么这么少人做。。。
>>>**********************************************************************>>>
#include <stdio.h>
#include <string.h>
#include <iostream>
#include <stdlib.h>
#include <math.h>
#include <queue>
#define maxn 32
using namespace std;
typedef struct{
int l;
int r;
}node;
int mid[maxn], fora[maxn], n, root, ex;
node ans[maxn];
void level(int rt){
int cnt = , temp;
queue <int> q;
q.push(rt);
while(!q.empty()){
temp = q.front();
q.pop();
cout << fora[temp];
cnt ++;
if(cnt < n)
cout << " ";
else if(cnt == n)
cout << endl;
if(ans[temp].l != -)
q.push(ans[temp].l);
if(ans[temp].r != -)
q.push(ans[temp].r);
}
return;
}
int build(int a, int b, int c, int d){
if(a > b)
return -;
int rt = c;
int point = a;
while(mid[point] != fora[rt])
point++;
int dis = point-a ;
ans[rt].l = build(a, point-, c+, c+dis);
ans[rt].r = build(point+, b, c+dis+, d);
return c;
}
void trans(int rt){
if(rt < || rt >= n){
return ;
}
if(ans[rt].l == - && ans[rt].r == -){
return ;
}
ex = ans[rt].l;
ans[rt].l = ans[rt].r;
ans[rt].r = ex;
trans(ans[rt].l);
trans(ans[rt].r);
}
int main(){
//freopen("in.txt", "r", stdin);
scanf("%d", &n);
for(int i=; i<n; ++i)
scanf("%d", &mid[i]);
for(int i=; i<n; ++i)
scanf("%d", &fora[i]);
memset(ans, -, sizeof(ans));
root = build(, n-, , n-);
trans(root);
level(root);
return ;
}
>>>好不容易水过31 题来到第一页,明天就要去比赛了.>>>
>>>强行装逼
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