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:
class sresult():
 def judge(self,n):
  list={}
  list2=[]
  for i in range(0,n):
   str=raw_input()
   array=str.split(" ")
   no=int(array[0])
   x=no
   sale=int(array[1])
   sold=int(array[2])
   
   if x in list:
    list[no]+=sale*sold
    if list[no]>=1000000 and x not in list2:
     list2.append(no)
   
   else :
    list.update({x:sale*sold})
   if list[no]>=1000000 and x not in list2:
     list2.append(no)
  for i in range(0,len(list2)):
   print list2[i]
  if len(list2)==0:
    print "NA"
  #print list
if __name__=="__main__":
 ans=sresult()
 while True:
  
  n=input()
  if n==0:
   break
  ans.judge(n)