source: addons/HeuristicLab.PushGP/HeuristicLab.Problem.ProgramSynthesis.BenchmarkSuite/ProblemData.cs

namespace HeuristicLab.BenchmarkSuite {
  using System.Linq;

  using HeuristicLab.Common;
  using HeuristicLab.Core;
  using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
  using HeuristicLab.Problems.ProgramSynthesis.Base.Erc;

  [StorableClass]
  public class ProblemData : NamedItem {

    public ProblemData(ProblemType problemType) {
      Name = "BenchmarkSuite Problem Data";
      ErcOptions = new ErcOptions(); // default does nothing
      FloatStringFormat = "R";
      ProblemType = problemType;
    }

    [StorableConstructor]
    protected ProblemData(bool deserializing) : base(deserializing) { }

    public ProblemData(ProblemData origin, Cloner cloner) : base(origin, cloner) {
      TrainingCount = origin.TrainingCount;
      TestCount = origin.TestCount;
      BestResult = origin.BestResult;
      WorstResult = origin.WorstResult;

      InputArgumentTypes = (ExampleArgumentType[])origin.InputArgumentTypes.Clone();
      OutputArgumentTypes = (ExampleArgumentType[])origin.OutputArgumentTypes.Clone();

      if (origin.Examples != null)
        Examples = origin.Examples.Select(cloner.Clone).ToArray();

      EnabledDataTypes = origin.EnabledDataTypes;
      ErcOptions = cloner.Clone(origin.ErcOptions);
      FloatStringFormat = origin.FloatStringFormat;
      ProblemType = origin.ProblemType;
      ProgramExecutionBudget = origin.ProgramExecutionBudget;
    }

    [Storable]
    public readonly ProblemType ProblemType;

    [Storable]
    public int TrainingCount { get; set; }
    [Storable]
    public int TestCount { get; set; }
    [Storable]
    public double BestResult { get; set; }
    [Storable]
    public double WorstResult { get; set; }
    [Storable]
    public ExampleArgumentType[] InputArgumentTypes { get; set; }
    [Storable]
    public ExampleArgumentType[] OutputArgumentTypes { get; set; }

    public int TotalInputArgumentCount { get { return InputArgumentTypes.Length; } }
    public int TotalOutputArgumentCount { get { return OutputArgumentTypes.Length; } }
    public int TotalArgumentCount { get { return InputArgumentTypes.Length + OutputArgumentTypes.Length; } }

    [Storable]
    public Example[] Examples { get; set; }
    [Storable]
    public DataTypes EnabledDataTypes { get; set; }

    /// <summary>
    /// Max Size” gives the maximum number of instructions that can appear in an individual’s genome
    /// </summary>
    [Storable]
    public int MaxSize { get; set; }

    /// <summary>
    /// “Eval Limit” is the number of steps of the Push interpreter that are executed before stopping a
    /// program’s execution; programs halted in this way may still achieve good results if they print or
    /// return results before they are stopped
    /// </summary>
    [Storable]
    public int EvalLimit { get; set; }

    /// <summary>
    /// Specifies constant values and value ranges required to solve a certain problem
    /// </summary>
    [Storable]
    public ErcOptions ErcOptions { get; set; }

    /// <summary>
    /// Represents the maximum number of programs that will be executed before a run is terminated, which is the product of the maximum generations, the population size, and the size of the training set.
    /// </summary>
    [Storable]
    public int ProgramExecutionBudget { get; set; }

    [Storable]
    public string FloatStringFormat { get; set; }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new ProblemData(this, cloner);
    }
  }
}