[3623] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16453] | 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3623] | 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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[4722] | 22 | using HeuristicLab.Common;
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[3623] | 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Data;
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| 25 | using HeuristicLab.Operators;
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| 26 | using HeuristicLab.Parameters;
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[16559] | 27 | using HEAL.Attic;
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[3623] | 28 |
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| 29 | namespace HeuristicLab.Analysis {
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| 30 | /// <summary>
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[3662] | 31 | /// An operator which calculates the minimum, average and maximum of a value in the scope tree.
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[3623] | 32 | /// </summary>
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[3662] | 33 | [Item("MinAverageMaxValueCalculator", "An operator which calculates the minimum, average and maximum of a value in the scope tree.")]
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[16462] | 34 | [StorableType("C10C55BB-737F-4A0A-BAB0-F3DAC28FBCB8")]
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[3623] | 35 | public sealed class MinAverageMaxValueCalculator : SingleSuccessorOperator {
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[3662] | 36 | public ScopeTreeLookupParameter<DoubleValue> ValueParameter {
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| 37 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Value"]; }
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[3623] | 38 | }
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[3662] | 39 | public ValueLookupParameter<DoubleValue> MinValueParameter {
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| 40 | get { return (ValueLookupParameter<DoubleValue>)Parameters["MinValue"]; }
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[3623] | 41 | }
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[3662] | 42 | public ValueLookupParameter<DoubleValue> AverageValueParameter {
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| 43 | get { return (ValueLookupParameter<DoubleValue>)Parameters["AverageValue"]; }
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[3623] | 44 | }
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[3662] | 45 | public ValueLookupParameter<DoubleValue> MaxValueParameter {
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| 46 | get { return (ValueLookupParameter<DoubleValue>)Parameters["MaxValue"]; }
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[3623] | 47 | }
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| 48 |
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[4722] | 49 | #region Storing & Cloning
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| 50 | [StorableConstructor]
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[16462] | 51 | private MinAverageMaxValueCalculator(StorableConstructorFlag _) : base(_) { }
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[4722] | 52 | private MinAverageMaxValueCalculator(MinAverageMaxValueCalculator original, Cloner cloner) : base(original, cloner) { }
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| 53 | public override IDeepCloneable Clone(Cloner cloner) {
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| 54 | return new MinAverageMaxValueCalculator(this, cloner);
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| 55 | }
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| 56 | #endregion
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[3623] | 57 | public MinAverageMaxValueCalculator()
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| 58 | : base() {
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[3662] | 59 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Value", "The value contained in the scope tree for which the minimum, average and maximum should be calculated."));
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[3623] | 60 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MinValue", "The minimum of the value."));
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| 61 | Parameters.Add(new ValueLookupParameter<DoubleValue>("AverageValue", "The average of the value."));
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| 62 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaxValue", "The maximum of the value."));
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| 63 | }
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| 64 |
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| 65 | public override IOperation Apply() {
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| 66 | ItemArray<DoubleValue> values = ValueParameter.ActualValue;
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| 67 |
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| 68 | if (values.Length > 0) {
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| 69 | double min = double.MaxValue, max = double.MinValue, sum = 0.0;
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| 70 | for (int i = 0; i < values.Length; i++) {
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| 71 | if (values[i].Value < min) min = values[i].Value;
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| 72 | if (values[i].Value > max) max = values[i].Value;
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| 73 | sum += values[i].Value;
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| 74 | }
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| 75 |
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| 76 | DoubleValue minValue = MinValueParameter.ActualValue;
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| 77 | if (minValue == null) MinValueParameter.ActualValue = new DoubleValue(min);
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| 78 | else minValue.Value = min;
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| 79 | DoubleValue averageValue = AverageValueParameter.ActualValue;
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| 80 | if (averageValue == null) AverageValueParameter.ActualValue = new DoubleValue(sum / values.Length);
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| 81 | else averageValue.Value = sum / values.Length;
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| 82 | DoubleValue maxValue = MaxValueParameter.ActualValue;
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| 83 | if (maxValue == null) MaxValueParameter.ActualValue = new DoubleValue(max);
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| 84 | else maxValue.Value = max;
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| 85 | }
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| 86 | return base.Apply();
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| 87 | }
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| 88 | }
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| 89 | }
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