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:
def parse(i):
    l = input().strip().split()
    return ((i, l[0]), int(l[1]) * int(l[2]))


n = int(input())

while n:
    ss, d = [parse(_) for _ in range(n)], {}

    for s in ss:
        k = s[0][1]
        d[k] = (d[k][0], d[k][1] + s[1]) if k in d else s

    d = [v[0] for v in d.values() if v[1] >= 1000000]

    if d:
        print('\n'.join(k[1] for k in sorted(d)))
    else:
        print('NA')

    n = int(input())