[3253] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12009] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3253] | 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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[4068] | 22 | using System;
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| 23 | using System.Collections.Generic;
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[3376] | 24 | using HeuristicLab.Common;
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[3269] | 25 | using HeuristicLab.Core;
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[4068] | 26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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[3269] | 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[5532] | 28 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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[3269] | 29 | [StorableClass]
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| 30 | [Item("Variable", "Represents a variable value.")]
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[4022] | 31 | public class Variable : Symbol {
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[3269] | 32 | #region Properties
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[3485] | 33 | [Storable]
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[4989] | 34 | private double weightMu;
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| 35 | public double WeightMu {
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| 36 | get { return weightMu; }
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[3824] | 37 | set {
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[4989] | 38 | if (value != weightMu) {
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| 39 | weightMu = value;
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[3824] | 40 | OnChanged(EventArgs.Empty);
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| 41 | }
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| 42 | }
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[3269] | 43 | }
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[3485] | 44 | [Storable]
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[3294] | 45 | private double weightSigma;
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| 46 | public double WeightSigma {
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| 47 | get { return weightSigma; }
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| 48 | set {
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| 49 | if (weightSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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[3824] | 50 | if (value != weightSigma) {
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| 51 | weightSigma = value;
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| 52 | OnChanged(EventArgs.Empty);
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| 53 | }
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[3294] | 54 | }
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[3269] | 55 | }
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[3485] | 56 | [Storable]
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[4989] | 57 | private double weightManipulatorMu;
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| 58 | public double WeightManipulatorMu {
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| 59 | get { return weightManipulatorMu; }
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[3824] | 60 | set {
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[4989] | 61 | if (value != weightManipulatorMu) {
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| 62 | weightManipulatorMu = value;
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[3824] | 63 | OnChanged(EventArgs.Empty);
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| 64 | }
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| 65 | }
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[3512] | 66 | }
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| 67 | [Storable]
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| 68 | private double weightManipulatorSigma;
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| 69 | public double WeightManipulatorSigma {
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| 70 | get { return weightManipulatorSigma; }
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| 71 | set {
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| 72 | if (weightManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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[3824] | 73 | if (value != weightManipulatorSigma) {
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| 74 | weightManipulatorSigma = value;
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| 75 | OnChanged(EventArgs.Empty);
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| 76 | }
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[3512] | 77 | }
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| 78 | }
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[5326] | 79 | [Storable(DefaultValue = 0.0)]
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| 80 | private double multiplicativeWeightManipulatorSigma;
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| 81 | public double MultiplicativeWeightManipulatorSigma {
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| 82 | get { return multiplicativeWeightManipulatorSigma; }
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| 83 | set {
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| 84 | if (multiplicativeWeightManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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| 85 | if (value != multiplicativeWeightManipulatorSigma) {
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| 86 | multiplicativeWeightManipulatorSigma = value;
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| 87 | OnChanged(EventArgs.Empty);
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| 88 | }
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| 89 | }
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| 90 | }
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[3541] | 91 | private List<string> variableNames;
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[3512] | 92 | [Storable]
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[3442] | 93 | public IEnumerable<string> VariableNames {
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[3294] | 94 | get { return variableNames; }
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| 95 | set {
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| 96 | if (value == null) throw new ArgumentNullException();
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| 97 | variableNames.Clear();
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| 98 | variableNames.AddRange(value);
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[3824] | 99 | OnChanged(EventArgs.Empty);
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[3294] | 100 | }
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[3269] | 101 | }
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[6803] | 102 |
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[8853] | 103 | private List<string> allVariableNames;
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| 104 | [Storable]
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| 105 | public IEnumerable<string> AllVariableNames {
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| 106 | get { return allVariableNames; }
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| 107 | set {
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| 108 | if (value == null) throw new ArgumentNullException();
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| 109 | allVariableNames.Clear();
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| 110 | allVariableNames.AddRange(value);
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| 111 | }
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| 112 | }
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| 113 |
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[8798] | 114 | public override bool Enabled {
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| 115 | get {
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| 116 | if (variableNames.Count == 0) return false;
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| 117 | return base.Enabled;
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| 118 | }
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| 119 | set {
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| 120 | if (variableNames.Count == 0) base.Enabled = false;
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| 121 | else base.Enabled = value;
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| 122 | }
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| 123 | }
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| 124 |
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[6803] | 125 | private const int minimumArity = 0;
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| 126 | private const int maximumArity = 0;
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| 127 |
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| 128 | public override int MinimumArity {
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| 129 | get { return minimumArity; }
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| 130 | }
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| 131 | public override int MaximumArity {
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| 132 | get { return maximumArity; }
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| 133 | }
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[3269] | 134 | #endregion
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[6803] | 135 |
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[8853] | 136 | [StorableHook(HookType.AfterDeserialization)]
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| 137 | private void AfterDeserialization() {
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| 138 | if (allVariableNames == null || (allVariableNames.Count == 0 && variableNames.Count > 0)) {
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| 139 | allVariableNames = variableNames;
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| 140 | }
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| 141 | }
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| 142 |
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[4722] | 143 | [StorableConstructor]
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[5326] | 144 | protected Variable(bool deserializing)
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| 145 | : base(deserializing) {
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[4722] | 146 | variableNames = new List<string>();
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[8853] | 147 | allVariableNames = new List<string>();
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[4722] | 148 | }
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| 149 | protected Variable(Variable original, Cloner cloner)
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| 150 | : base(original, cloner) {
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[4989] | 151 | weightMu = original.weightMu;
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[4722] | 152 | weightSigma = original.weightSigma;
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| 153 | variableNames = new List<string>(original.variableNames);
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[8853] | 154 | allVariableNames = new List<string>(original.allVariableNames);
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[4989] | 155 | weightManipulatorMu = original.weightManipulatorMu;
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[4722] | 156 | weightManipulatorSigma = original.weightManipulatorSigma;
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[5326] | 157 | multiplicativeWeightManipulatorSigma = original.multiplicativeWeightManipulatorSigma;
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[4722] | 158 | }
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[4022] | 159 | public Variable() : this("Variable", "Represents a variable value.") { }
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| 160 | public Variable(string name, string description)
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| 161 | : base(name, description) {
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[4989] | 162 | weightMu = 1.0;
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[3294] | 163 | weightSigma = 1.0;
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[4989] | 164 | weightManipulatorMu = 0.0;
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[5334] | 165 | weightManipulatorSigma = 0.05;
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[5326] | 166 | multiplicativeWeightManipulatorSigma = 0.03;
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[3294] | 167 | variableNames = new List<string>();
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[8853] | 168 | allVariableNames = new List<string>();
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[3269] | 169 | }
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| 170 |
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[5532] | 171 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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[3253] | 172 | return new VariableTreeNode(this);
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| 173 | }
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[3485] | 174 |
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| 175 | public override IDeepCloneable Clone(Cloner cloner) {
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[4722] | 176 | return new Variable(this, cloner);
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[3485] | 177 | }
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[3253] | 178 | }
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| 179 | }
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