CodeForces723C Polycarp at the Radio 贪心

Polycarp is a music editor at the radio station. He received a playlist for tomorrow, that can be represented as a sequence a1, a2, ..., an, where ai is a band, which performs the i-th song. Polycarp likes bands with the numbers from 1 to m, but he doesn't really like others.

We define as bj the number of songs the group j is going to perform tomorrow. Polycarp wants to change the playlist in such a way that the minimum among the numbers b1, b2, ..., bm will be as large as possible.

Find this maximum possible value of the minimum among the bj (1 ≤ j ≤ m), and the minimum number of changes in the playlist Polycarp needs to make to achieve it. One change in the playlist is a replacement of the performer of the i-th song with any other group.

Input

The first line of the input contains two integers n and m (1 ≤ m ≤ n ≤ 2000).

The second line contains n integers a1, a2, ..., an (1 ≤ ai ≤ 109), where ai is the performer of the i-th song.

Output

In the first line print two integers: the maximum possible value of the minimum among the bj (1 ≤ j ≤ m), where bj is the number of songs in the changed playlist performed by the j-th band, and the minimum number of changes in the playlist Polycarp needs to make.

In the second line print the changed playlist.

If there are multiple answers, print any of them.

Examples
input
4 2
1 2 3 2
output
2 1
1 2 1 2 
input
7 3
1 3 2 2 2 2 1
output
2 1
1 3 3 2 2 2 1 
input
4 4
1000000000 100 7 1000000000
output
1 4
1 2 3 4 
Note

In the first sample, after Polycarp's changes the first band performs two songs (b1 = 2), and the second band also performs two songs (b2 = 2). Thus, the minimum of these values equals to 2. It is impossible to achieve a higher minimum value by any changes in the playlist.

In the second sample, after Polycarp's changes the first band performs two songs (b1 = 2), the second band performs three songs (b2 = 3), and the third band also performs two songs (b3 = 2). Thus, the best minimum value is 2.


贪心题,最大值为 n/m,然后最少的操作数是将所有次数小于n/m的数的次数变为n/m所需花的操作次数之和。然后需要改动的数有两种可能,一种是数值大于m,另一种是数值小于等于吗,但出现次数大于n/m。


#include <iostream>
#include <cstdio>
#include <map>
#include <set>
#include <vector>
#include <queue>
#include <stack>
#include <cmath>
#include <algorithm>
#include <cstring>
#include <string>
using namespace std;
#define INF 0x3f3f3f3f
typedef long long LL;
double PI=acos(-1);
int n,m,x;
int a[2005],b[2005];

int check(int x)
{
    if(b[x]>=n/m){
        while(b[x]>=n/m){
            x++;
        }
    }
    return x;
}
int main()
{
    scanf("%d%d",&n,&m);
    memset(b,0,sizeof(b));
    int ans=n/m;
    for(int i=0;i<n;i++){
        scanf("%d",a+i);
        if(a[i]<=m){
            b[a[i]]++;
        }
    }
    int cnt=0;
    for(int i=1;i<=m;i++){
        if(b[i]<ans){
            cnt+=ans-b[i];
        }
    }
    x=check(1);
    printf("%d %d\n",ans,cnt);
    for(int i=0;i<n&&cnt;i++){
        if(a[i]>m||a[i]<=m&&b[a[i]]>ans){
            if(a[i]<=m&&b[a[i]]>ans){
                b[a[i]]--;
            }
            a[i]=x;
            b[x]++;
            x=check(x);
            cnt--;
        }
    }
    for(int i=0;i<n;i++){
        printf(i==n-1?"%d\n":"%d ",a[i]);
    }
    return 0;
}


关于Codeforces上的问题'Trail',目前提供的参考资料中并未直接提及该问题的具体解法或讨论[^1]。然而,在处理类似平台上的编程挑战时,通常会遵循特定的方法论来解决问题。 对于未具体描述的问题'Trail',假设这是一个涉及路径遍历或是图结构中的轨迹计算等问题,一般解决方案可能涉及到深度优先搜索(DFS)、广度优先搜索(BFS)或者是动态规划等技术。这些方法能够有效地探索所有可能性并找到最优解。 考虑到Codeforces平台上许多问题的特点,解决这类题目往往还需要注意边界条件以及输入数据范围的影响。编写代码前应仔细阅读题目说明,确保理解所有的约束条件和特殊案例。 下面是一个简单的Python实现例子,用于展示如何通过深度优先搜索算法在一个假定的网格环境中寻找从起点到终点的有效路径: ```python def dfs(grid, start, end): rows, cols = len(grid), len(grid[0]) visited = set() def explore(r, c): if (r < 0 or r >= rows or c < 0 or c >= cols or grid[r][c] == '#' or (r,c) in visited): return False if (r, c) == end: return True visited.add((r, c)) directions = [(0, 1), (1, 0), (-1, 0), (0, -1)] for dr, dc in directions: next_r, next_c = r + dr, c + dc if explore(next_r, next_c): return True return False return explore(*start) # Example usage with a simple maze represented as a list of strings. maze = [ '..#.##', '#...#.', '#####.' ] print(dfs(maze, (0, 0), (2, 5))) # Output should be True based on this example layout. ``` 此段代码展示了利用递归方式执行深度优先搜索的过程,适用于某些类型的‘Trail’类问题。当然实际应用中还需根据具体的题目要求调整逻辑细节。
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