CoderForces-913D

 

You are preparing for an exam on scheduling theory. The exam will last for exactly Tmilliseconds and will consist of n problems. You can either solve problem i in exactly t_i milliseconds or ignore it and spend no time. You don't need time to rest after solving a problem, either.

Unfortunately, your teacher considers some of the problems too easy for you. Thus, he assigned an integer a_i to every problem i meaning that the problem i can bring you a point to the final score only in case you have solved no more than a_i problems overall (including problem i).

Formally, suppose you solve problems p₁, p₂, ..., p_k during the exam. Then, your final score s will be equal to the number of values of j between 1 and k such that k ≤ a_pj.

You have guessed that the real first problem of the exam is already in front of you. Therefore, you want to choose a set of problems to solve during the exam maximizing your final score in advance. Don't forget that the exam is limited in time, and you must have enough time to solve all chosen problems. If there exist different sets of problems leading to the maximum final score, any of them will do.

Input

The first line contains two integers n and T (1 ≤ n ≤ 2·10⁵; 1 ≤ T ≤ 10⁹) — the number of problems in the exam and the length of the exam in milliseconds, respectively.

Each of the next n lines contains two integers a_i and t_i (1 ≤ a_i ≤ n; 1 ≤ t_i ≤ 10⁴). The problems are numbered from 1 to n.

Output

In the first line, output a single integer s — your maximum possible final score.

In the second line, output a single integer k (0 ≤ k ≤ n) — the number of problems you should solve.

In the third line, output k distinct integers p₁, p₂, ..., p_k (1 ≤ p_i ≤ n) — the indexes of problems you should solve, in any order.

If there are several optimal sets of problems, you may output any of them.

Example

Input

5 300
3 100
4 150
4 80
2 90
2 300

Output

2
3
3 1 4

Input

2 100
1 787
2 788

Output

0
0

Input

2 100
2 42
2 58

Output

2
2
1 2

Note

In the first example, you should solve problems 3, 1, and 4. In this case you'll spend 80 + 100 + 90 = 270 milliseconds, falling within the length of the exam, 300 milliseconds (and even leaving yourself 30 milliseconds to have a rest). Problems 3 and 1 will bring you a point each, while problem 4 won't. You'll score two points.

In the second example, the length of the exam is catastrophically not enough to solve even a single problem.

In the third example, you have just enough time to solve both problems in 42 + 58 = 100milliseconds and hand your solutions to the teacher with a smile.

 

 

题解：

通过优先队列每次把所有分数为i的元素按照时间从大到下出队列知道队列中只剩下i个元素为止，如果当前SumTime<t && pq.size()==i，则当前解为最优解，。

AC代码为：

#include<iostream>
#include<cstdio>
#include<queue>
#include<algorithm>
using namespace std;
const int maxn=2e5+10;


struct node{
int lie;
int ai;
int time;
} stu[maxn];


bool cmp(node a,node b)
{
return a.time < b.time ;
}


struct comp{
bool operator()(const node a,const node b)
{
if(a.ai!=b.ai)
return a.ai>b.ai;
return a.time<b.time;
}
};


priority_queue<node,vector<node>,comp> pq;


int main()
{
int n,T,cnt=0;
cin>>n>>T;
for(int i=0;i<n;i++)
{
cin>>stu[i].ai>>stu[i].time;
stu[i].lie=i+1;
}

sort(stu,stu+n,cmp);

for(int i=0;i<n;i++)
{
if(stu[i].time > T)
break;
if(stu[i].ai>cnt)
{
T-=stu[i].time;
pq.push(stu[i]);
cnt++;
}

while(!pq.empty() && pq.top().ai<cnt)
{
cnt--;
T+=pq.top().time;
pq.pop();
}

}

cout<<cnt<<endl;
cout<<cnt<<endl;

while(!pq.empty())
{
cout<<pq.top().lie<<" ";
pq.pop();
}
cout<<endl;

return 0;
}