[5060] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[9708] | 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5060] | 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 HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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[5532] | 29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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[5060] | 30 | [StorableClass]
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[7671] | 31 | [Item("Variable Condition", "Represents a condition that tests a given variable against a specified threshold.")]
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[5060] | 32 | public sealed class VariableCondition : Symbol {
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| 33 | #region properties
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| 34 | [Storable]
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| 35 | private double thresholdInitializerMu;
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| 36 | public double ThresholdInitializerMu {
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| 37 | get { return thresholdInitializerMu; }
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| 38 | set {
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| 39 | if (value != thresholdInitializerMu) {
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| 40 | thresholdInitializerMu = value;
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| 41 | OnChanged(EventArgs.Empty);
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| 42 | }
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| 43 | }
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| 44 | }
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| 45 | [Storable]
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| 46 | private double thresholdInitializerSigma;
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| 47 | public double ThresholdInitializerSigma {
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| 48 | get { return thresholdInitializerSigma; }
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| 49 | set {
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| 50 | if (thresholdInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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| 51 | if (value != thresholdInitializerSigma) {
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| 52 | thresholdInitializerSigma = value;
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| 53 | OnChanged(EventArgs.Empty);
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| 54 | }
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| 55 | }
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| 56 | }
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| 57 |
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| 58 | [Storable]
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| 59 | private double thresholdManipulatorMu;
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| 60 | public double ThresholdManipulatorMu {
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| 61 | get { return thresholdManipulatorMu; }
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| 62 | set {
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| 63 | if (value != thresholdManipulatorMu) {
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| 64 | thresholdManipulatorMu = value;
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| 65 | OnChanged(EventArgs.Empty);
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| 66 | }
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| 67 | }
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| 68 | }
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| 69 | [Storable]
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| 70 | private double thresholdManipulatorSigma;
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| 71 | public double ThresholdManipulatorSigma {
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| 72 | get { return thresholdManipulatorSigma; }
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| 73 | set {
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| 74 | if (thresholdManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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| 75 | if (value != thresholdManipulatorSigma) {
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| 76 | thresholdManipulatorSigma = value;
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| 77 | OnChanged(EventArgs.Empty);
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| 78 | }
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| 79 | }
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| 80 | }
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| 81 |
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| 82 | private List<string> variableNames;
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| 83 | [Storable]
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| 84 | public IEnumerable<string> VariableNames {
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| 85 | get { return variableNames; }
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| 86 | set {
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| 87 | if (value == null) throw new ArgumentNullException();
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[9126] | 88 | variableNames.Clear();
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| 89 | variableNames.AddRange(value);
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[5060] | 90 | OnChanged(EventArgs.Empty);
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| 91 | }
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| 92 | }
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| 93 |
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[9126] | 94 | private List<string> allVariableNames;
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[5060] | 95 | [Storable]
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[9126] | 96 | public IEnumerable<string> AllVariableNames {
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| 97 | get { return allVariableNames; }
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| 98 | set {
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| 99 | if (value == null) throw new ArgumentNullException();
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| 100 | allVariableNames.Clear();
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| 101 | allVariableNames.AddRange(value);
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| 102 | VariableNames = value;
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| 103 | }
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| 104 | }
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| 105 |
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| 106 | [Storable]
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[5060] | 107 | private double slopeInitializerMu;
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| 108 | public double SlopeInitializerMu {
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| 109 | get { return slopeInitializerMu; }
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| 110 | set {
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| 111 | if (value != slopeInitializerMu) {
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| 112 | slopeInitializerMu = value;
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| 113 | OnChanged(EventArgs.Empty);
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| 114 | }
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| 115 | }
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| 116 | }
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| 117 | [Storable]
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| 118 | private double slopeInitializerSigma;
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| 119 | public double SlopeInitializerSigma {
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| 120 | get { return slopeInitializerSigma; }
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| 121 | set {
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| 122 | if (slopeInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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| 123 | if (value != slopeInitializerSigma) {
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| 124 | slopeInitializerSigma = value;
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| 125 | OnChanged(EventArgs.Empty);
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| 126 | }
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| 127 | }
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| 128 | }
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| 129 |
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| 130 | [Storable]
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| 131 | private double slopeManipulatorMu;
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| 132 | public double SlopeManipulatorMu {
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| 133 | get { return slopeManipulatorMu; }
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| 134 | set {
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| 135 | if (value != slopeManipulatorMu) {
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| 136 | slopeManipulatorMu = value;
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| 137 | OnChanged(EventArgs.Empty);
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| 138 | }
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| 139 | }
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| 140 | }
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| 141 | [Storable]
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| 142 | private double slopeManipulatorSigma;
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| 143 | public double SlopeManipulatorSigma {
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| 144 | get { return slopeManipulatorSigma; }
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| 145 | set {
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| 146 | if (slopeManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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| 147 | if (value != slopeManipulatorSigma) {
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| 148 | slopeManipulatorSigma = value;
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| 149 | OnChanged(EventArgs.Empty);
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| 150 | }
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| 151 | }
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| 152 | }
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[6803] | 153 |
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| 154 | private const int minimumArity = 2;
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| 155 | private const int maximumArity = 2;
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| 156 |
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| 157 | public override int MinimumArity {
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| 158 | get { return minimumArity; }
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| 159 | }
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| 160 | public override int MaximumArity {
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| 161 | get { return maximumArity; }
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| 162 | }
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[5060] | 163 | #endregion
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| 164 |
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| 165 | #region persistence and cloning
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[9126] | 166 | [StorableHook(HookType.AfterDeserialization)]
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| 167 | private void AfterDeserialization() {
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| 168 | if (allVariableNames == null || (allVariableNames.Count == 0 && variableNames.Count > 0)) {
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| 169 | allVariableNames = variableNames;
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| 170 | }
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| 171 | }
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| 172 |
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[5060] | 173 | [StorableConstructor]
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[9126] | 174 | private VariableCondition(bool deserializing)
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| 175 | : base(deserializing) {
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| 176 | variableNames = new List<string>();
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| 177 | allVariableNames = new List<string>();
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| 178 | }
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[5484] | 179 | private VariableCondition(VariableCondition original, Cloner cloner)
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[5060] | 180 | : base(original, cloner) {
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| 181 | thresholdInitializerMu = original.thresholdInitializerMu;
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| 182 | thresholdInitializerSigma = original.thresholdInitializerSigma;
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| 183 | thresholdManipulatorMu = original.thresholdManipulatorMu;
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| 184 | thresholdManipulatorSigma = original.thresholdManipulatorSigma;
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| 185 |
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| 186 | variableNames = new List<string>(original.variableNames);
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[9126] | 187 | allVariableNames = new List<string>(original.allVariableNames);
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[5060] | 188 |
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| 189 | slopeInitializerMu = original.slopeInitializerMu;
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| 190 | slopeInitializerSigma = original.slopeInitializerSigma;
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| 191 | slopeManipulatorMu = original.slopeManipulatorMu;
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| 192 | slopeManipulatorSigma = original.slopeManipulatorSigma;
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| 193 | }
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| 194 | public override IDeepCloneable Clone(Cloner cloner) {
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| 195 | return new VariableCondition(this, cloner);
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| 196 | }
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| 197 | #endregion
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| 198 |
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| 199 | public VariableCondition() : this("Variable Condition", "Represents a condition that tests a given variable.") { }
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| 200 | public VariableCondition(string name, string description)
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| 201 | : base(name, description) {
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| 202 | thresholdInitializerMu = 0.0;
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[5467] | 203 | thresholdInitializerSigma = 0.1;
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[5060] | 204 | thresholdManipulatorMu = 0.0;
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[5467] | 205 | thresholdManipulatorSigma = 0.1;
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[5060] | 206 |
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| 207 | variableNames = new List<string>();
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[9126] | 208 | allVariableNames = new List<string>();
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[5060] | 209 |
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[7671] | 210 | slopeInitializerMu = 0.0;
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| 211 | slopeInitializerSigma = 0.0;
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[5060] | 212 | slopeManipulatorMu = 0.0;
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[7671] | 213 | slopeManipulatorSigma = 0.0;
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[5060] | 214 | }
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| 215 |
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[5532] | 216 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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[5060] | 217 | return new VariableConditionTreeNode(this);
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| 218 | }
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| 219 | }
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| 220 | }
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