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:
n = int(raw_input())
while n != 0:
    pass_flag = 0
    sales_dict = {}
    id_list = []
    for x in range(0, n):
        data = raw_input()
        data_list = map(int, data.split(' '))
        if not data_list[0] in sales_dict:
            sales_dict[data_list[0]] = data_list[1] * data_list[2]
            id_list.append(data_list[0])
        else:
            sales_dict[data_list[0]] += data_list[1] * data_list[2]
    for x in id_list:
        if  sales_dict[x] >= 1000000:
            print x
            pass_flag = 1
    if pass_flag == 0:
        print 'NA'
    n = int(raw_input())