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

datasetnum=[]
n=-1

def calculatebillionare(n):
    global datasetnum
    scores={}
    billionares=[]
    if n==-1:
        return None
    else:
        for salesdata in datasetnum:
            if not salesdata[0] in billionares:
                if salesdata[0] in scores:
                    scores[salesdata[0]]=scores[salesdata[0]]+salesdata[1]*salesdata[2]
                else:
                    scores[salesdata[0]]=salesdata[1]*salesdata[2]
                if scores[salesdata[0]]>=1000000:
                    billionares.append(salesdata[0])
                    del(scores[salesdata[0]])
        if len(billionares)==0:
            print "NA"
        else:
            for people in billionares:
                print people
        datasetnum=[]
        return None
                    
for line in sys.stdin:
    line=line.strip()
    line=line.split(" ")
    lineelement=map(int,line)
    if len(lineelement)==1:
        calculatebillionare(n)
        if lineelement[0]==0:
            break
        else:
            n=lineelement[0]
    else:
        datasetnum.append(lineelement)