CodeForces 471B MUH and Important Things

本文介绍了一种针对极地动物的任务分配算法。该算法需为每只动物生成不同的任务执行计划,并确保这些计划各不相同。输入包含任务数量及难度,输出则是判断是否可以生成三个不同的任务序列,以及具体的任务安排方案。
B. MUH and Important Things
time limit per test
1 second
memory limit per test
256 megabytes
input
standard input
output
standard output

It's time polar bears Menshykov and Uslada from the zoo of St. Petersburg and elephant Horace from the zoo of Kiev got down to business. In total, there aren tasks for the day and each animal should do each of these tasks. For each task, they have evaluated its difficulty. Also animals decided to do the tasks in order of their difficulty. Unfortunately, some tasks can have the same difficulty, so the order in which one can perform the tasks may vary.

Menshykov, Uslada and Horace ask you to deal with this nuisance and come up with individual plans for each of them. The plan is a sequence describing the order in which an animal should do all then tasks. Besides, each of them wants to have its own unique plan. Therefore three plans must form three different sequences. You are to find the required plans, or otherwise deliver the sad news to them by stating that it is impossible to come up with three distinct plans for the given tasks.

Input

The first line contains integer n (1 ≤ n ≤ 2000) — the number of tasks. The second line containsn integersh1, h2, ..., hn (1 ≤ hi ≤ 2000), wherehi is the difficulty of thei-th task. The larger numberhi is, the more difficult thei-th task is.

Output

In the first line print "YES" (without the quotes), if it is possible to come up with three distinct plans of doing the tasks. Otherwise print in the first line "NO" (without the quotes). If three desired plans do exist, print in the second line n distinct integers that represent the numbers of the tasks in the order they are done according to the first plan. In the third and fourth line print two remaining plans in the same form.

If there are multiple possible answers, you can print any of them.

Sample test(s)
Input
4
1 3 3 1
Output
YES
1 4 2 3 
4 1 2 3 
4 1 3 2 
Input
5
2 4 1 4 8
Output
NO
Note

In the first sample the difficulty of the tasks sets one limit: tasks 1 and 4 must be done before tasks 2 and 3. That gives the total of four possible sequences of doing tasks : [1, 4, 2, 3], [4, 1, 2, 3], [1, 4, 3, 2], [4, 1, 3, 2]. You can print any three of them in the answer.

In the second sample there are only two sequences of tasks that meet the conditions — [3, 1, 2, 4, 5] and [3, 1, 4, 2, 5]. Consequently, it is impossible to make three distinct sequences of tasks.


#include<cstring>
#include<iostream>
#include<algorithm>
using namespace std;

int main(){
    int n,i,j,equalnum,flag;
    while(cin>>n){
        equalnum=0;
        pair<int,int>a[n];
        for(i=0;i<n;i++){
            cin>>a[i].first,a[i].second=i;
        }
        sort(a,a+n);
        for(i=0;i<n-1;i++){
            if(a[i].first==a[i+1].first){
                equalnum++;
            }
        }
        if(equalnum<2){
            cout<<"NO"<<endl;
            return 0;
        }
        else{
            cout<<"YES"<<endl;
            for(i=0;i<n;i++){
                if(i==n-1){
                    cout<<a[i].second+1<<endl;
                }
                else{
                    cout<<a[i].second+1<<" ";
                }
            }
            flag=0;
            for(i=0;i<n,flag!=2;i++){
                if(a[i].first==a[i+1].first){
                    swap(a[i],a[i+1]);
                    for(j=0;j<n;j++){
                        if(j==n-1){
                            cout<<a[j].second+1<<endl;
                        }
                        else{
                            cout<<a[j].second+1<<" ";
                        }
                    }
                    flag++;
                }
            }
        }
    }
    return 0;
}


### 关于 Codeforces 1853B 的题解与实现 尽管当前未提供关于 Codeforces 1853B 的具体引用内容,但可以根据常见的竞赛编程问题模式以及相关算法知识来推测可能的解决方案。 #### 题目概述 通常情况下,Codeforces B 类题目涉及基础数据结构或简单算法的应用。假设该题目要求处理某种数组操作或者字符串匹配,则可以采用如下方法解决: #### 解决方案分析 如果题目涉及到数组查询或修改操作,一种常见的方式是利用前缀和技巧优化时间复杂度[^3]。例如,对于区间求和问题,可以通过预计算前缀和数组快速得到任意区间的总和。 以下是基于上述假设的一个 Python 实现示例: ```python def solve_1853B(): import sys input = sys.stdin.read data = input().split() n, q = map(int, data[0].split()) # 数组长度和询问次数 array = list(map(int, data[1].split())) # 初始数组 prefix_sum = [0] * (n + 1) for i in range(1, n + 1): prefix_sum[i] = prefix_sum[i - 1] + array[i - 1] results = [] for _ in range(q): l, r = map(int, data[2:].pop(0).split()) current_sum = prefix_sum[r] - prefix_sum[l - 1] results.append(current_sum % (10**9 + 7)) return results print(*solve_1853B(), sep='\n') ``` 此代码片段展示了如何通过构建 `prefix_sum` 来高效响应多次区间求和请求,并对结果取模 \(10^9+7\) 输出[^4]。 #### 进一步扩展思考 当面对更复杂的约束条件时,动态规划或其他高级技术可能会被引入到解答之中。然而,在没有确切了解本题细节之前,以上仅作为通用策略分享给用户参考。
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