[7392] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Parameters;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 30 |
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| 31 | namespace HeuristicLab.Operators {
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| 32 | [Item("DataReducer", "An operator to reduce values of sub scopes.")]
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| 33 | [StorableClass]
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| 34 | public sealed class DataReducer : SingleSuccessorOperator {
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| 35 | #region Parameter Properties
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| 36 | public ScopeTreeLookupParameter<IItem> ParameterToReduce {
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| 37 | get { return (ScopeTreeLookupParameter<IItem>)Parameters["ParameterToReduce"]; }
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| 38 | }
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| 39 | public LookupParameter<IItem> TargetParameter {
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| 40 | get { return (LookupParameter<IItem>)Parameters["TargetParameter"]; }
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| 41 | }
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| 42 | public ValueParameter<ReductionOperation> ReductionOperation {
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| 43 | get { return (ValueParameter<ReductionOperation>)Parameters["ReductionOperation"]; }
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| 44 | }
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| 45 | public ValueParameter<ReductionOperation> TargetOperation {
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| 46 | get { return (ValueParameter<ReductionOperation>)Parameters["TargetOperation"]; }
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| 47 | }
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| 48 | #endregion
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| 49 |
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| 50 | [StorableConstructor]
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| 51 | private DataReducer(bool deserializing) : base(deserializing) { }
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| 52 | private DataReducer(DataReducer original, Cloner cloner)
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| 53 | : base(original, cloner) {
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| 54 | }
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| 55 | public DataReducer()
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| 56 | : base() {
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| 57 | #region Create parameters
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| 58 | Parameters.Add(new ScopeTreeLookupParameter<IItem>("ParameterToReduce", "The parameter on which the reduction operation should be applied."));
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| 59 | Parameters.Add(new LookupParameter<IItem>("TargetParameter", "The target variable in which the reduced value should be stored."));
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| 60 | Parameters.Add(new ValueParameter<ReductionOperation>("ReductionOperation", "The operation which is applied on the parameters to reduce."));
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| 61 | Parameters.Add(new ValueParameter<ReductionOperation>("TargetOperation", "The operation used to apply the reduced value to the target variable."));
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| 62 | #endregion
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| 63 | }
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| 64 |
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| 65 | public override IDeepCloneable Clone(Cloner cloner) {
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| 66 | return new DataReducer(this, cloner);
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| 67 | }
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| 68 |
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| 69 | public override IOperation Apply() {
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| 70 | var values = ParameterToReduce.ActualValue;
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| 71 | if (values.Count() > 0) {
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| 72 | if (values.All(x => x.GetType() == typeof(IntValue))) {
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| 73 | List<IntValue> intValues = new List<IntValue>();
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| 74 | values.ForEach(x => intValues.Add((IntValue)x));
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| 75 | CalculateResult(intValues);
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| 76 | } else if (values.All(x => x.GetType() == typeof(DoubleValue))) {
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| 77 | List<DoubleValue> doubleValues = new List<DoubleValue>();
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| 78 | values.ForEach(x => doubleValues.Add((DoubleValue)x));
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| 79 | CalculateResult(doubleValues);
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| 80 | } else if (values.All(x => x.GetType() == typeof(TimeSpanValue))) {
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| 81 | List<TimeSpanValue> timeSpanValues = new List<TimeSpanValue>();
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| 82 | values.ForEach(x => timeSpanValues.Add((TimeSpanValue)x));
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| 83 | CalculateResult(timeSpanValues);
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| 84 | } else {
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| 85 | throw new ArgumentException(string.Format("Type {0} is not supported by the DataReducer.", values.First().GetType()));
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| 86 | }
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| 87 | }
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| 88 | return base.Apply();
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| 89 | }
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| 90 |
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| 91 | private void CalculateResult(List<IntValue> values) {
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| 92 | int result = 1;
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| 93 | if (TargetParameter.ActualValue == null) TargetParameter.ActualValue = new IntValue();
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| 94 | IntValue target = (IntValue)TargetParameter.ActualValue;
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| 95 |
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| 96 | switch (ReductionOperation.Value.Value) {
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| 97 | case ReductionOperations.Sum:
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| 98 | result = values.Sum(x => x.Value);
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| 99 | break;
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| 100 | case ReductionOperations.Prod:
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| 101 | values.ForEach(x => result *= x.Value);
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| 102 | break;
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| 103 | case ReductionOperations.Avg:
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| 104 | result = (int)Math.Round(values.Average(x => x.Value));
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| 105 | break;
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| 106 | case ReductionOperations.Min:
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| 107 | result = values.Min(x => x.Value);
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| 108 | break;
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| 109 | case ReductionOperations.Max:
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| 110 | result = values.Max(x => x.Value);
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| 111 | break;
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| 112 | default:
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| 113 | throw new InvalidOperationException(string.Format("Operation {0} is not supported as ReductionOperation for type: {1}.", ReductionOperation.Value.Value, result.GetType()));
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| 114 | }
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| 115 |
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| 116 | switch (TargetOperation.Value.Value) {
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| 117 | case ReductionOperations.Assign:
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| 118 | target.Value = result;
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| 119 | break;
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| 120 | case ReductionOperations.Sum:
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| 121 | target.Value += result;
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| 122 | break;
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| 123 | case ReductionOperations.Prod:
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| 124 | if (target.Value == 0) target.Value = 1;
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| 125 | target.Value *= result;
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| 126 | break;
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| 127 | default:
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| 128 | throw new InvalidOperationException(string.Format("Operation {0} is not supported as TargetOperation for type: {1}.", TargetOperation.Value.Value, result.GetType()));
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| 129 | }
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| 130 | }
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| 131 |
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| 132 | private void CalculateResult(List<DoubleValue> values) {
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| 133 | double result = 1.0;
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| 134 | if (TargetParameter.ActualValue == null) TargetParameter.ActualValue = new DoubleValue();
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| 135 | DoubleValue target = (DoubleValue)TargetParameter.ActualValue;
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| 136 |
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| 137 | switch (ReductionOperation.Value.Value) {
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| 138 | case ReductionOperations.Sum:
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| 139 | result = values.Sum(x => x.Value);
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| 140 | break;
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| 141 | case ReductionOperations.Prod:
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| 142 | values.ForEach(x => result *= x.Value);
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| 143 | break;
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| 144 | case ReductionOperations.Avg:
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| 145 | result = values.Average(x => x.Value);
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| 146 | break;
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| 147 | case ReductionOperations.Min:
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| 148 | result = values.Min(x => x.Value);
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| 149 | break;
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| 150 | case ReductionOperations.Max:
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| 151 | result = values.Max(x => x.Value);
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| 152 | break;
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| 153 | default:
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| 154 | throw new InvalidOperationException(string.Format("Operation {0} is not supported as ReductionOperation for type: {1}.", ReductionOperation.Value.Value, result.GetType()));
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| 155 | }
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| 156 |
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| 157 | switch (TargetOperation.Value.Value) {
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| 158 | case ReductionOperations.Assign:
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| 159 | target.Value = result;
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| 160 | break;
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| 161 | case ReductionOperations.Sum:
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| 162 | target.Value += result;
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| 163 | break;
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| 164 | case ReductionOperations.Prod:
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| 165 | if (target.Value == 0.0) target.Value = 1.0;
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| 166 | target.Value *= result;
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| 167 | break;
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| 168 | default:
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| 169 | throw new InvalidOperationException(string.Format("Operation {0} is not supported as TargetOperation for type: {1}.", TargetOperation.Value.Value, result.GetType()));
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| 170 | }
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| 171 | }
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| 172 |
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| 173 | private void CalculateResult(List<TimeSpanValue> values) {
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| 174 | TimeSpan result = TimeSpan.Zero;
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| 175 | if (TargetParameter.ActualValue == null) TargetParameter.ActualValue = new TimeSpanValue();
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| 176 | TimeSpanValue target = (TimeSpanValue)TargetParameter.ActualValue;
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| 177 |
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| 178 | switch (ReductionOperation.Value.Value) {
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| 179 | case ReductionOperations.Sum:
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| 180 | values.ForEach(x => result = result.Add(x.Value));
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| 181 | break;
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| 182 | case ReductionOperations.Avg:
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| 183 | double avg = values.Average(x => x.Value.TotalMilliseconds);
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| 184 | result = TimeSpan.FromMilliseconds(avg);
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| 185 | break;
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| 186 | case ReductionOperations.Min:
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| 187 | result = values.Min(x => x.Value);
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| 188 | break;
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| 189 | case ReductionOperations.Max:
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| 190 | result = values.Max(x => x.Value);
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| 191 | break;
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| 192 | default:
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| 193 | throw new InvalidOperationException(string.Format("Operation {0} is not supported as ReductionOperation for type: {1}.", ReductionOperation.Value.Value, result.GetType()));
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| 194 | }
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| 195 |
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| 196 | switch (TargetOperation.Value.Value) {
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| 197 | case ReductionOperations.Assign:
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| 198 | target.Value = result;
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| 199 | break;
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| 200 | case ReductionOperations.Sum:
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| 201 | target.Value += result;
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| 202 | break;
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| 203 | default:
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| 204 | throw new InvalidOperationException(string.Format("Operation {0} is not supported as TargetOperation for type: {1}.", TargetOperation.Value.Value, result.GetType()));
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| 205 | }
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| 206 | }
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| 207 | }
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| 208 | }
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