1 | namespace HeuristicLab.BenchmarkSuite {
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2 | using System.Linq;
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3 |
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4 | using HeuristicLab.Common;
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5 | using HeuristicLab.Core;
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6 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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7 | using HeuristicLab.Problems.ProgramSynthesis;
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8 |
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9 | [StorableClass]
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10 | public class ProblemData : NamedItem {
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11 |
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12 | public ProblemData(ProblemType problemType) {
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13 | Name = "BenchmarkSuite Problem Data";
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14 | ErcOptions = new ErcOptions(); // default does nothing
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15 | FloatStringFormat = "R";
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16 | ProblemType = problemType;
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17 | }
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18 |
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19 | [StorableConstructor]
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20 | protected ProblemData(bool deserializing) : base(deserializing) { }
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21 |
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22 | public ProblemData(ProblemData origin, Cloner cloner) : base(origin, cloner) {
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23 | TrainingCount = origin.TrainingCount;
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24 | TestCount = origin.TestCount;
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25 | BestResult = origin.BestResult;
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26 | WorstResult = origin.WorstResult;
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27 |
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28 | InputArgumentTypes = (ExampleArgumentType[])origin.InputArgumentTypes.Clone();
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29 | OutputArgumentTypes = (ExampleArgumentType[])origin.OutputArgumentTypes.Clone();
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30 |
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31 | if (origin.Examples != null)
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32 | Examples = origin.Examples.Select(cloner.Clone).ToArray();
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33 |
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34 | EnabledDataTypes = origin.EnabledDataTypes;
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35 | ErcOptions = cloner.Clone(origin.ErcOptions);
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36 | FloatStringFormat = origin.FloatStringFormat;
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37 | ProblemType = origin.ProblemType;
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38 | ProgramExecutionBudget = origin.ProgramExecutionBudget;
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39 | }
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40 |
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41 | [Storable]
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42 | public readonly ProblemType ProblemType;
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43 |
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44 | [Storable]
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45 | public int TrainingCount { get; set; }
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46 | [Storable]
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47 | public int TestCount { get; set; }
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48 | [Storable]
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49 | public double BestResult { get; set; }
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50 | [Storable]
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51 | public double WorstResult { get; set; }
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52 | [Storable]
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53 | public ExampleArgumentType[] InputArgumentTypes { get; set; }
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54 | [Storable]
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55 | public ExampleArgumentType[] OutputArgumentTypes { get; set; }
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56 |
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57 | public int TotalInputArgumentCount { get { return InputArgumentTypes.Length; } }
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58 | public int TotalOutputArgumentCount { get { return OutputArgumentTypes.Length; } }
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59 | public int TotalArgumentCount { get { return InputArgumentTypes.Length + OutputArgumentTypes.Length; } }
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60 |
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61 | [Storable]
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62 | public Example[] Examples { get; set; }
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63 | [Storable]
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64 | public DataTypes EnabledDataTypes { get; set; }
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65 |
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66 | /// <summary>
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67 | /// Max Size” gives the maximum number of instructions that can appear in an individual’s genome
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68 | /// </summary>
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69 | [Storable]
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70 | public int MaxSize { get; set; }
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71 |
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72 | /// <summary>
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73 | /// “Eval Limit” is the number of steps of the Push interpreter that are executed before stopping a
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74 | /// program’s execution; programs halted in this way may still achieve good results if they print or
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75 | /// return results before they are stopped
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76 | /// </summary>
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77 | [Storable]
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78 | public int EvalLimit { get; set; }
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79 |
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80 | /// <summary>
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81 | /// Specifies constant values and value ranges required to solve a certain problem
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82 | /// </summary>
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83 | [Storable]
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84 | public ErcOptions ErcOptions { get; set; }
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85 |
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86 | /// <summary>
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87 | /// 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.
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88 | /// </summary>
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89 | [Storable]
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90 | public int ProgramExecutionBudget { get; set; }
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91 |
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92 | [Storable]
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93 | public string FloatStringFormat { get; set; }
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94 |
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95 | public override IDeepCloneable Clone(Cloner cloner) {
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96 | return new ProblemData(this, cloner);
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97 | }
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98 | }
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99 | }
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