using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using HeuristicLab.Common;
using HeuristicLab.Random;

namespace HeuristicLab.Problems.Instances.DataAnalysis {
  public class Feynman16 : FeynmanDescriptor{
 public override string Name { get { return "Feynman I.14.4 U = 1/2*k_spring*x^2"; } }

 protected override string TargetVariable { get { return "U"; } }
    protected override string[] VariableNames { get { return new string[] { "k_spring", "x", "U"}; } }
    protected override string[] AllowedInputVariables { get { return new string[] {"k_spring", "x"}; } }

    public int Seed { get; private set; }

    public Feynman16() : this((int)System.DateTime.Now.Ticks) { }

    public Feynman16(int seed) {
      Seed = seed;
    }

    protected override List<List<double>> GenerateValues() {
      var rand = new MersenneTwister((uint)Seed);

      var data = new List<List<double>>();
      var k_spring = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
      var x = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();

      var U = new List<double>();

      data.Add(k_spring);
      data.Add(x);
      data.Add(U);

      for (var i = 0; i < k_spring.Count; i++) {
        var res = 1.0 / 2 * k_spring[i] * Math.Pow(x[i], 2);
        U.Add(res);
      }

      return data;
    }
  }
}