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:
import collections
while 1:
	li=collections.defaultdict(int)
	emplist=[]
	n=int(input())
	if n==0:
		break
	for i in range(n):
		(emp,prc,num)=list(map(int,input().split()))
		if emp not in emplist:
			emplist.append(emp)
		li[emp]+=prc*num
	tmp=True
	for i in emplist:
		if li[i]>=1000000:
			print(i)
			tmp=False
	if tmp:
		print("NA")
	li.clear()