Problem: There is data on sales of your company. Your task is to write a program which identifies good workers.

The program should read a list of data where each item includes the employee ID i, the amount of sales q and the corresponding unit price p. Then, the program should print IDs of employees whose total sales proceeds (i.e. sum of p × q) is greater than or equal to 1,000,000 in the order of inputting. If there is no such employees, the program should print "NA". You can suppose that n < 4000, and each employee has an unique ID. The unit price p is less than or equal to 1,000,000 and the amount of sales q is less than or equal to 100,000.



Input

The input consists of several datasets. The input ends with a line including a single 0. Each dataset consists of:


n (the number of data in the list)
i p q
i p q
:
:
i p q


Output

For each dataset, print a list of employee IDs or a text "NA"

Example

Input

4
1001 2000 520
1002 1800 450
1003 1600 625
1001 200 1220
2
1001 100 3
1005 1000 100
2
2013 5000 100
2013 5000 100
0


Output

1001
1003
NA
2013

Solution (in JAVA):

Solution:

import java.util.*;

import static java.lang.Math.*;
import static java.util.Arrays.*;

public class Main {

	int INF = 1 << 28;

	void run() {
		Scanner sc = new Scanner(System.in);
		for(;;) {
			int n = sc.nextInt();
			if(n == 0) break;
			HashMap<Long, Integer> map = new HashMap<Long, Integer>();
			int p=0;
			long[] val = new long[n];
			long[] ids = new long[n];
			for(int i=0;i<n;i++) {
				long id = sc.nextInt(), k = sc.nextInt(), c = sc.nextInt();
				if(map.containsKey(id)) {
					val[map.get(id)] += k * c;
				}
				else {
					map.put(id, p);
					ids[p] = id;
					val[p++] = k * c;
				}
			}
			ArrayList<Long> ans = new ArrayList<Long>();
			for(int i=0;i<n;i++) if( val[i] >= 1000000 ) ans.add(ids[i]);
			if(ans.isEmpty()) {
				System.out.println("NA");
			}
			else {
				for(long l: ans) System.out.println(l);
			}
		}
	}

	public static void main(String[] args) {
		new Main().run();
	}

	void debug(Object... os) {
		System.err.println(Arrays.deepToString(os));
	}
}