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 PYTHON3):

Solution:
# Edit: 2014/09/25
# Lang: Python3
# Time: 0.xxs
#

from collections import OrderedDict

if __name__ == "__main__":

    while True:
        d = OrderedDict()
        n = int(input())
        if not n:
            break  # exit at n=0

        for i in range(n):
            s, p, m = map(int, input().strip("\n").split(" "))
            # print(s, p, m)

            if s in d:
                d[s] += p * m
            else:
                d[s] = p * m

        cnt = 0
        for k, v in d.items():
            if v >= 1000000:
                print(k)
                cnt += 1
        if not cnt:
            print("NA")