using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using Google.OrTools.LinearSolver;

namespace knapsack
{
	public class Program
	{
		private static Tuple<int, IEnumerable<Tuple<int, int>>> GetData(string filename)
		{
			var lines = File.ReadAllLines(filename);
			var sizeWeight = lines[0];
			var strings = sizeWeight.Replace("  ", " ").Split(' ');
			var weight = int.Parse(strings[1]);
			var items = lines.Skip(1).Select(line => line.Replace("  ", " ").Split(' ')).Select(split => new Tuple<int, int>(int.Parse(split[0]), int.Parse(split[1])));
			return new Tuple<int, IEnumerable<Tuple<int, int>>>(weight, items);
		}

		static void Main(string[] args)
		{
			var data = GetData(args[0]);
			var maxWeight = data.Item1;
			var items = data.Item2;

			var solver = Solver.CreateSolver("IntegerProgramming", "CBC_MIXED_INTEGER_PROGRAMMING");
			solver.SetMaximization();
			var weightConstraint = solver.MakeConstraint(double.NegativeInfinity, maxWeight, "weight");
			
			var i = 0;
			var variables = new List<Variable>();
			foreach (var tuple in items)
			{
				var value = tuple.Item1;
				var weight = tuple.Item2;
				var var = solver.MakeIntVar(0.0, 1.0, "i" + i++);
				variables.Add(var);
				solver.SetObjectiveCoefficient(var, value);
				weightConstraint.SetCoefficient(var, weight);
			}
			
			var resultStatus = solver.Solve();
			
			// The objective value of the solution.
			Console.WriteLine(solver.ObjectiveValue() + " 0");//  + (resultStatus == Solver.OPTIMAL ? "1" : "0"));

			// The value of each variable in the solution.
			var takeItems = string.Join(" ", variables.Select(v => v.SolutionValue()).ToArray());

			Console.WriteLine(takeItems);
		}
	}
}