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 PYTHON):

Solution:
import sys

def sales_result(sales):
    total_sales = {}
    person = []
    for s in sales:
        total_sales[s[0]] = total_sales.get(s[0], 0)
        total_sales[s[0]] += s[1] * s[2]
        if total_sales[s[0]] >= 1000000 and not (s[0] in person):
            person.append(s[0])
    if len(person) == 0:
        print("NA")
    else:
        for p in person:
            print(p)


lineno = 0
n = 0
sales = []
for line in sys.stdin:
    if lineno == 0:
        n = int(line)
        if n == 0:
            break
    elif lineno <= n:
        s = list(map(int, line.strip().split()))
        sales.append(s)
    if lineno == n:
        sales_result(sales)
        lineno = 0
        sales = []
    else:
        lineno += 1