[10368] | 1 | using System;
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| 2 | using System.Linq;
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| 3 | using HeuristicLab.Analysis;
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| 4 | using HeuristicLab.Common;
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| 5 | using HeuristicLab.Core;
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| 6 | using HeuristicLab.Data;
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[10579] | 7 | using HeuristicLab.Operators;
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| 8 | using HeuristicLab.Optimization.Operators;
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[10368] | 9 | using HeuristicLab.Parameters;
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| 10 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 11 |
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| 12 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 13 | [StorableClass]
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| 14 | [Item("SymbolicDataAnalysisSingleObjectivePruningAnalyzer", "An analyzer that prunes introns from trees in single objective symbolic data analysis problems.")]
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| 15 | public abstract class SymbolicDataAnalysisSingleObjectivePruningAnalyzer : SymbolicDataAnalysisSingleObjectiveAnalyzer {
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[10579] | 16 | #region parameter names
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[10368] | 17 | private const string ProblemDataParameterName = "ProblemData";
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| 18 | private const string UpdateIntervalParameterName = "UpdateInverval";
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| 19 | private const string UpdateCounterParameterName = "UpdateCounter";
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| 20 | private const string PopulationSliceParameterName = "PopulationSlice";
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| 21 | private const string PruningProbabilityParameterName = "PruningProbability";
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[10579] | 22 | private const string TotalNumberOfPrunedSubtreesParameterName = "Number of pruned subtrees";
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| 23 | private const string TotalNumberOfPrunedTreesParameterName = "Number of pruned trees";
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[10368] | 24 | private const string RandomParameterName = "Random";
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| 25 | private const string PruneOnlyZeroImpactNodesParameterName = "PruneOnlyZeroImpactNodes";
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| 26 | private const string NodeImpactThresholdParameterName = "ImpactThreshold";
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[10579] | 27 | private const string PruningOperatorParameterName = "PruningOperator";
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| 28 | private const string ResultsParameterName = "Results";
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| 29 | #endregion
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| 30 | #region private members
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| 31 | private DataReducer prunedSubtreesReducer;
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| 32 | private DataReducer prunedTreesReducer;
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| 33 | private DataTableValuesCollector valuesCollector;
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| 34 | private ResultsCollector resultsCollector;
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| 35 | private EmptyOperator emptyOp;
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| 36 | #endregion
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[10368] | 37 | #region parameter properties
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[10579] | 38 | public IValueParameter<SymbolicDataAnalysisExpressionPruningOperator> PruningOperatorParameter {
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| 39 | get { return (IValueParameter<SymbolicDataAnalysisExpressionPruningOperator>)Parameters[PruningOperatorParameterName]; }
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| 40 | }
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[10368] | 41 | public IFixedValueParameter<BoolValue> PruneOnlyZeroImpactNodesParameter {
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| 42 | get { return (IFixedValueParameter<BoolValue>)Parameters[PruneOnlyZeroImpactNodesParameterName]; }
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| 43 | }
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| 44 | public IFixedValueParameter<DoubleValue> NodeImpactThresholdParameter {
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| 45 | get { return (IFixedValueParameter<DoubleValue>)Parameters[NodeImpactThresholdParameterName]; }
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| 46 | }
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| 47 | public ILookupParameter<IRandom> RandomParameter {
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| 48 | get { return (ILookupParameter<IRandom>)Parameters[RandomParameterName]; }
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| 49 | }
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| 50 | private ILookupParameter<IDataAnalysisProblemData> ProblemDataParameter {
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| 51 | get { return (ILookupParameter<IDataAnalysisProblemData>)Parameters[ProblemDataParameterName]; }
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| 52 | }
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| 53 | public IValueParameter<IntValue> UpdateIntervalParameter {
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| 54 | get { return (IValueParameter<IntValue>)Parameters[UpdateIntervalParameterName]; }
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| 55 | }
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| 56 | public IValueParameter<IntValue> UpdateCounterParameter {
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| 57 | get { return (IValueParameter<IntValue>)Parameters[UpdateCounterParameterName]; }
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| 58 | }
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| 59 | public IValueParameter<DoubleRange> PopulationSliceParameter {
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| 60 | get { return (IValueParameter<DoubleRange>)Parameters[PopulationSliceParameterName]; }
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| 61 | }
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| 62 | public IValueParameter<DoubleValue> PruningProbabilityParameter {
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| 63 | get { return (IValueParameter<DoubleValue>)Parameters[PruningProbabilityParameterName]; }
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| 64 | }
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| 65 | #endregion
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| 66 | #region properties
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[10579] | 67 | protected SymbolicDataAnalysisExpressionPruningOperator PruningOperator { get { return PruningOperatorParameter.Value; } }
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[10368] | 68 | protected IDataAnalysisProblemData ProblemData { get { return ProblemDataParameter.ActualValue; } }
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| 69 | protected IntValue UpdateInterval { get { return UpdateIntervalParameter.Value; } }
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| 70 | protected IntValue UpdateCounter { get { return UpdateCounterParameter.Value; } }
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| 71 | protected DoubleRange PopulationSlice { get { return PopulationSliceParameter.Value; } }
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| 72 | protected DoubleValue PruningProbability { get { return PruningProbabilityParameter.Value; } }
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| 73 | protected IRandom Random { get { return RandomParameter.ActualValue; } }
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| 74 | protected DoubleValue NodeImpactThreshold { get { return NodeImpactThresholdParameter.Value; } }
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| 75 | protected BoolValue PruneOnlyZeroImpactNodes { get { return PruneOnlyZeroImpactNodesParameter.Value; } }
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| 76 | #endregion
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[10579] | 77 | #region IStatefulItem members
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| 78 | public override void InitializeState() {
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| 79 | base.InitializeState();
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| 80 | UpdateCounter.Value = 0;
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| 81 | }
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| 82 | public override void ClearState() {
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| 83 | base.ClearState();
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| 84 | UpdateCounter.Value = 0;
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| 85 | }
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| 86 | #endregion
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[10378] | 87 |
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| 88 | [StorableConstructor]
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| 89 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer(bool deserializing) : base(deserializing) { }
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[10368] | 90 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer(SymbolicDataAnalysisSingleObjectivePruningAnalyzer original, Cloner cloner)
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| 91 | : base(original, cloner) {
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[10579] | 92 | if (original.prunedSubtreesReducer != null)
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| 93 | this.prunedSubtreesReducer = (DataReducer)original.prunedSubtreesReducer.Clone();
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| 94 | if (original.prunedTreesReducer != null)
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| 95 | this.prunedTreesReducer = (DataReducer)original.prunedTreesReducer.Clone();
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| 96 | if (original.valuesCollector != null)
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| 97 | this.valuesCollector = (DataTableValuesCollector)original.valuesCollector.Clone();
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| 98 | if (original.resultsCollector != null)
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| 99 | this.resultsCollector = (ResultsCollector)original.resultsCollector.Clone();
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[10368] | 100 | }
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| 101 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer() {
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[10579] | 102 | #region add parameters
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[10368] | 103 | Parameters.Add(new ValueParameter<DoubleRange>(PopulationSliceParameterName, new DoubleRange(0.75, 1)));
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| 104 | Parameters.Add(new ValueParameter<DoubleValue>(PruningProbabilityParameterName, new DoubleValue(0.5)));
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| 105 | Parameters.Add(new ValueParameter<IntValue>(UpdateIntervalParameterName, "The interval in which the tree length analysis should be applied.", new IntValue(1)));
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| 106 | Parameters.Add(new ValueParameter<IntValue>(UpdateCounterParameterName, "The value which counts how many times the operator was called", new IntValue(0)));
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| 107 | Parameters.Add(new LookupParameter<IRandom>(RandomParameterName));
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| 108 | Parameters.Add(new LookupParameter<IDataAnalysisProblemData>(ProblemDataParameterName));
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| 109 | Parameters.Add(new FixedValueParameter<DoubleValue>(NodeImpactThresholdParameterName, new DoubleValue(0.0)));
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| 110 | Parameters.Add(new FixedValueParameter<BoolValue>(PruneOnlyZeroImpactNodesParameterName, new BoolValue(false)));
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[10579] | 111 | #endregion
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[10368] | 112 | }
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| 113 |
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[10579] | 114 | private void InitializeOperators() {
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| 115 | prunedSubtreesReducer = new DataReducer();
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| 116 | prunedSubtreesReducer.ParameterToReduce.ActualName = PruningOperator.PrunedSubtreesParameter.ActualName;
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| 117 | prunedSubtreesReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum); // sum all the pruned subtrees parameter values
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| 118 | prunedSubtreesReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign); // asign the sum to the target parameter
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| 119 | prunedSubtreesReducer.TargetParameter.ActualName = TotalNumberOfPrunedSubtreesParameterName;
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[10368] | 120 |
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[10579] | 121 | prunedTreesReducer = new DataReducer();
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| 122 | prunedTreesReducer.ParameterToReduce.ActualName = PruningOperator.PrunedTreesParameter.ActualName;
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| 123 | prunedTreesReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 124 | prunedTreesReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign);
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| 125 | prunedTreesReducer.TargetParameter.ActualName = TotalNumberOfPrunedTreesParameterName;
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[10368] | 126 |
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[10579] | 127 | valuesCollector = new DataTableValuesCollector();
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| 128 | valuesCollector.CollectedValues.Add(new LookupParameter<IntValue>(TotalNumberOfPrunedSubtreesParameterName));
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| 129 | valuesCollector.CollectedValues.Add(new LookupParameter<IntValue>(TotalNumberOfPrunedTreesParameterName));
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| 130 | valuesCollector.DataTableParameter.ActualName = "Population pruning";
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[10368] | 131 |
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[10579] | 132 | resultsCollector = new ResultsCollector();
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| 133 | resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>("Population pruning"));
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| 134 | resultsCollector.ResultsParameter.ActualName = ResultsParameterName;
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[10368] | 135 |
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[10579] | 136 | emptyOp = new EmptyOperator();
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| 137 | }
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[10368] | 138 |
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[10579] | 139 | //
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| 140 | /// <summary>
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| 141 | /// Computes the closed interval bounding the portion of the population that is to be pruned.
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| 142 | /// </summary>
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| 143 | /// <returns>Returns an int range [start, end]</returns>
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| 144 | private IntRange GetSliceBounds() {
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| 145 | var count = ExecutionContext.Scope.SubScopes.Count;
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| 146 | var start = (int)Math.Round(PopulationSlice.Start * count);
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| 147 | var end = (int)Math.Round(PopulationSlice.End * count);
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| 148 | if (end > count) end = count;
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[10368] | 149 |
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[10579] | 150 | if (start >= end) throw new ArgumentOutOfRangeException("Invalid PopulationSlice bounds.");
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| 151 | return new IntRange(start, end);
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| 152 | }
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[10368] | 153 |
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[10579] | 154 | private IOperation CreatePruningOperation() {
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| 155 | var oc = new OperationCollection { Parallel = true };
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| 156 | var range = GetSliceBounds();
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| 157 | var qualities = Quality.Select(x => x.Value).ToArray();
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| 158 | var indices = Enumerable.Range(0, qualities.Length).ToArray();
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| 159 | Array.Sort(qualities, indices);
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| 160 | if (!Maximization.Value) Array.Reverse(indices);
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[10368] | 161 |
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[10579] | 162 | var subscopes = ExecutionContext.Scope.SubScopes;
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[10368] | 163 |
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[10579] | 164 | for (int i = 0; i < subscopes.Count; ++i) {
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| 165 | IOperator op;
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| 166 | if (range.Start <= i && i < range.End && Random.NextDouble() <= PruningProbability.Value)
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| 167 | op = PruningOperator;
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| 168 | else op = emptyOp;
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| 169 | var index = indices[i];
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| 170 | var subscope = subscopes[index];
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| 171 | oc.Add(ExecutionContext.CreateChildOperation(op, subscope));
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[10368] | 172 | }
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[10579] | 173 | return oc;
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| 174 | }
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[10368] | 175 |
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[10579] | 176 | public override IOperation Apply() {
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| 177 | UpdateCounter.Value++;
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| 178 | if (UpdateCounter.Value != UpdateInterval.Value) return base.Apply();
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| 179 | UpdateCounter.Value = 0;
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[10368] | 180 |
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[10579] | 181 | if (prunedSubtreesReducer == null || prunedTreesReducer == null || valuesCollector == null || resultsCollector == null) { InitializeOperators(); }
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[10368] | 182 |
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[10579] | 183 | var prune = CreatePruningOperation();
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| 184 | var reducePrunedSubtrees = ExecutionContext.CreateChildOperation(prunedSubtreesReducer);
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| 185 | var reducePrunedTrees = ExecutionContext.CreateChildOperation(prunedTreesReducer);
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| 186 | var collectValues = ExecutionContext.CreateChildOperation(valuesCollector);
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| 187 | var collectResults = ExecutionContext.CreateChildOperation(resultsCollector);
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[10368] | 188 |
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[10579] | 189 | return new OperationCollection { prune, reducePrunedSubtrees, reducePrunedTrees, collectValues, collectResults, base.Apply() };
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[10368] | 190 | }
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| 191 | }
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| 192 | }
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