Problem: Lunar rover finally reached planet X. After landing, he met an obstacle, that contains permutation p of length n. Scientists found out, that to overcome an obstacle, the robot should make p an identity permutation (make p_i = i for all i).

Unfortunately, scientists can't control the robot. Thus the only way to make p an identity permutation is applying the following operation to p multiple times: 

  * Select two indices i and j (i ≠ j), such that p_j = i and swap the values of p_i and p_j. It takes robot (j - i)^2 seconds to do this operation. 

Positions i and j are selected by the robot (scientists can't control it). He will apply this operation while p isn't an identity permutation. We can show that the robot will make no more than n operations regardless of the choice of i and j on each operation.

Scientists asked you to find out the maximum possible time it will take the robot to finish making p an identity permutation (i. e. worst-case scenario), so they can decide whether they should construct a new lunar rover or just rest and wait. They won't believe you without proof, so you should build an example of p and robot's operations that maximizes the answer.

For a better understanding of the statement, read the sample description.

Input

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

Each of next t lines contains the single integer n (2 ≤ n ≤ 10^5) – the length of p.

Note, that p is not given to you. You should find the maximum possible time over all permutations of length n.

It is guaranteed, that the total sum of n over all test cases doesn't exceed 10^5.

Output

For each test case in the first line, print how many seconds will the robot spend in the worst case.

In the next line, print the initial value of p that you used to construct an answer.

In the next line, print the number of operations m ≤ n that the robot makes in your example.

In the each of next m lines print two integers i and j — indices of positions that the robot will swap on this operation. Note that p_j = i must holds (at the time of operation).

Example

Input


3
2
3
3


Output


1
2 1
1
2 1
5
2 3 1
2
1 3
3 2
5
2 3 1
2
1 3
2 3

Note

For n = 2, p can be either [1, 2] or [2, 1]. In the first case p is already identity, otherwise robot will make it an identity permutation in 1 second regardless of choise i and j on the first operation.

For n = 3, p can be equals [2, 3, 1].

  * If robot will select i = 3, j = 2 on the first operation, p will become [2, 1, 3] in one second. Now robot can select only i = 1, j = 2 or i = 2, j = 1. In both cases, p will become identity in one more second (2 seconds in total).
  * If robot will select i = 1, j = 3 on the first operation, p will become [1, 3, 2] in four seconds. Regardless of choise of i and j on the second operation, p will become identity in five seconds. 



We can show, that for permutation of length 3 robot will always finish all operation in no more than 5 seconds.

Solution (in CPP):

Solution:
#include<iostream>
#include<stack>
#include<vector>
using namespace std;
typedef long long ll;
void solve(){
	ll n;cin>>n;
	if(n==1){
		cout<<0<<endl;
		cout<<1<<endl;
		cout<<0<<endl;
		return;
	}
	ll ans=0;
	ll cnt=1,st=n-1,asz=0;
	while(asz<n-1){
		if(cnt==0){
			cnt=2;
			st--;
		}
		ans+=st*st;
		cnt--;
		asz++;
	}
	cout<<ans<<endl;
	vector<ll> p;
	vector<ll> opi,opj;
	
	p.push_back(n/2+1);
	for(int i=1;i<n/2;i++) p.push_back(i);
	for(int i=n/2+2;i<=n;i++) p.push_back(i);
	p.push_back(n/2);
	for(int i=n/2+1;i<n;i++){
		opi.push_back(i);
		opj.push_back(1);
	}
	for(int i=n/2;i>1;i--){
		opi.push_back(i);
		opj.push_back(n);
	}
	if(n!=1){
		opi.push_back(1);
		opj.push_back(n);
	}
	
	for(int i=0;i<p.size();i++){
		cout<<p[i]<<" ";
	}
	cout<<endl;
	cout<<opi.size()<<endl;
	for(int j=0;j<opi.size();j++){
		cout<<opi[j]<<" "<<opj[j]<<endl;
	}
	cout<<endl;
}
int main(){
	ios_base::sync_with_stdio(false);
	cin.tie(0);
	cout.tie(0);
	ll t;cin>>t;
	while(t--) solve();
	return 0;
}