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:
# coding: utf-8
# Here your code !
employeeSalesList = []

def resetDataset():
    del employeeSalesList[0 : len(employeeSalesList) + 1]

def readDataCount():
    return int(input())

def searchEmployeeSales(employeeId):
    for data in employeeSalesList:
        if data[0] == employeeId:
            return data
    
    newData = [employeeId, 0]
    employeeSalesList.append(newData)
    return newData

def printEmployeeOfDataset():
    answerList = [data[0] for data in employeeSalesList if data[1] >= 1000000]
    if len(answerList) == 0:
        print("NA")
    else:
        print("\n".join(map(str, answerList)))

resetDataset()
dataCount = readDataCount()
while dataCount > 0:
    for _ in range(dataCount):
        employeeId, price, volume = list(map(int, input().split(" ")))
        employeeSales = searchEmployeeSales(employeeId)
        employeeSales[1] += price * volume
    printEmployeeOfDataset()
    resetDataset()
    dataCount = readDataCount()