B. Quick Sort

You are given a permutation【排列】† \(p\) of length \(n\) and a positive integer \(k≤n\).

In one operation, you:

Choose \(k\) distinct elements【不连续的元素】 \(p_{i1},p_{i2},…,p_{ik}\).

Remove them and then add them sorted in increasing order to the end of the permutation.

For example, if \(p=[2,5,1,3,4]\) and \(k=2\) and you choose \(5\) and \(3\) as the elements for the operation, then \([2,5,1,3,4]→[2,1,4,3,5]\).

Find the minimum number of operations needed to sort the permutation in increasing order【递增次序】. It can be proven that it is always possible to do so.

† A permutation of length \(n\) is an array consisting of \(n\) distinct integers from \(1\) to \(n\) in arbitrary order. For example, \([2,3,1,5,4]\) is a permutation, but \([1,2,2]\) is not a permutation (2 appears twice in the array), and \([1,3,4]\) is also not a permutation (\(n=3\) but there is \(4\) in the array).

Input

The first line contains a single integer \(t (1≤t≤10^4)\) — the number of test cases. The description of test cases follows.

The first line of each test case contains two integers \(n\) and \(k (2≤n≤10^5, 1≤k≤n)\).

The second line of each test case contains \(n\) integers \(p_1,p_2,…,p_n (1≤pi≤n)\). It is guaranteed that \(p\) is a permutation.

It is guaranteed that the sum of n over all test cases does not exceed \(10^5\).

Output

For each test case output a single integer — the minimum number of operations needed to sort the permutation. It can be proven that it is always possible to do so.

Example

input

4

3 2

1 2 3

3 1

3 1 2

4 2

1 3 2 4

4 2

2 3 1 4

output

0

1

1

2

Note

In the first test case, the permutation is already sorted.

In the second test case, you can choose element \(3\), and the permutation will become sorted as follows: \([3,1,2]→[1,2,3]\).

In the third test case, you can choose elements \(3\) and \(4\), and the permutation will become sorted as follows: \([1,3,2,4]→[1,2,3,4]\).

In the fourth test case, it can be shown that it is impossible to sort the permutation in \(1\) operation. However, if you choose elements \(2\) and \(1\) in the first operation, and choose elements \(3\) and \(4\) in the second operation, the permutation will become sorted as follows: \([2,3,1,4]→[3,4,1,2]→[1,2,3,4]\).

原题链接

简述题意

给出一个长度为\(n\)的不连续排列，通过每次移动\(k\)个数并排序放在排列的最后面，确保一定次数内一定可以使得排列正序，问最小操作数为几？

思路

如果需要最小化操作数，那么不需要移动的元素个数应该最大化，即找到{1,2,...}的maximal subsequence【最大子序列】的元素个数

我们可以在遍历过程中维护相对顺序来找到最大子序列的元素个数

结果是遍历一遍记录不满足相对顺序的个数除以每次可移动的个数向上取整

需要注意是：向上取整要先乘1.0，否则结果会先向下取整再向上取整

代码

点击查看代码

#include<iostream>

#include<cmath>

#define endl '\n'

using namespace std;

typedef long long LL;

const int N = 1e6 + 10;

int k,t,n;

int a[N];

LL ans;

int main(){

	ios::sync_with_stdio(false);

	cin.tie(0),cout.tie(0);

	cin >> t;

	while(t -- ){

		ans = 0;

		cin >> n >> k;

		for(int i = 1; i <= n; i ++)cin >> a[i];

		int t = 0,m = 0;

		for(int i = 1; i <= n; i ++){

			if(a[i] != i - t){

				m ++;	//不满足相对顺序的数的个数

				t ++;	//维护相对顺序

			}

		}

		cout << ceil(m * 1.0 / k) << endl;	//注意：向上取整要先乘1.0，否则结果会先向下取整再向上取整

	}

}

标准答案

点击查看代码

#include <bits/stdc++.h>	

#define all(x) (x).begin(), (x).end()

#define allr(x) (x).rbegin(), (x).rend()

#define gsize(x) (int)((x).size())

const char nl = '\n';	//简写换行

typedef long long ll;

typedef long double ld;

using namespace std;

void solve() {

    int n, k;

    cin >> n >> k;

    vector<int> p(n);	//动态数组

    for (int i = 0; i < n; i++) cin >> p[i];

    int c_v = 1;

    for (int i = 0; i < n; i++) {

        if (p[i] == c_v) c_v++;

    }

    cout << (n  - c_v + k) / k  << nl;

}

int main() {

	ios::sync_with_stdio(0); cin.tie(0); cout.tie(0);

	int T;

	cin >> T;

	while (T--) solve();

}

解题历程

考虑了相对顺序但是结果计算方式错误

AC(46 ms,3900 KB) 【00:57 - 01:29】 //二次思考

经验总结

向上取整要先乘1.0，否则结果会先向下取整再向上取整

注意如何维护相对顺序

不要盲目模拟过程

巴特西

B. Quick Sort【Codeforces Round #842 (Div. 2)】

B. Quick Sort

简述题意

思路

代码

标准答案

解题历程

经验总结

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