Problem:
Sale Result

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"

Sample 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 for the Sample Input

1001
1003
NA
2013

Solution in C# (judge verdict: Wrong Answer)

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace ConsoleApplication1
{
    class Program
    {
        static void Main(string[] args)
        {

            int num;
            while ((num = int.Parse(Console.ReadLine())) != 0)
            {
                var result = Enumerable.Range(0, num)
                                       .Select(_ => Console.ReadLine())
                                       .Select(
                                           _ =>
                                           {
                                               var data =
                                                   _.Split(new[] { " " }, StringSplitOptions.RemoveEmptyEntries)
                                                    .Select(int.Parse).ToList();
                                               return new { ID = data[0], Sales = data[1] * data[2] };
                                           })
                                           .GroupBy(_ => _.ID)
                                           .Select(_ => new { ID = _.Key, Sales = _.Select(x => x.Sales).Sum() }).ToList();

                Console.WriteLine(result.Any() ? result.Select(_ => _.ID.ToString()).Aggregate((a, b) => a + Environment.NewLine + b) : "NA");
            }
        }
    }
}