1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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 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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29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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30 | [StorableClass]
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31 | [Item("Variable Condition", "Represents a condition that tests a given variable against a specified threshold.")]
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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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88 | variableNames.Clear();
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89 | variableNames.AddRange(value);
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90 | OnChanged(EventArgs.Empty);
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91 | }
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92 | }
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93 |
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94 | private List<string> allVariableNames;
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95 | [Storable]
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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 | }
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103 | }
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104 |
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105 | [Storable]
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106 | private double slopeInitializerMu;
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107 | public double SlopeInitializerMu {
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108 | get { return slopeInitializerMu; }
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109 | set {
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110 | if (value != slopeInitializerMu) {
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111 | slopeInitializerMu = value;
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112 | OnChanged(EventArgs.Empty);
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113 | }
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114 | }
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115 | }
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116 | [Storable]
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117 | private double slopeInitializerSigma;
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118 | public double SlopeInitializerSigma {
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119 | get { return slopeInitializerSigma; }
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120 | set {
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121 | if (slopeInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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122 | if (value != slopeInitializerSigma) {
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123 | slopeInitializerSigma = value;
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124 | OnChanged(EventArgs.Empty);
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125 | }
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126 | }
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127 | }
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128 |
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129 | [Storable]
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130 | private double slopeManipulatorMu;
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131 | public double SlopeManipulatorMu {
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132 | get { return slopeManipulatorMu; }
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133 | set {
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134 | if (value != slopeManipulatorMu) {
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135 | slopeManipulatorMu = value;
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136 | OnChanged(EventArgs.Empty);
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137 | }
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138 | }
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139 | }
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140 | [Storable]
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141 | private double slopeManipulatorSigma;
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142 | public double SlopeManipulatorSigma {
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143 | get { return slopeManipulatorSigma; }
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144 | set {
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145 | if (slopeManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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146 | if (value != slopeManipulatorSigma) {
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147 | slopeManipulatorSigma = value;
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148 | OnChanged(EventArgs.Empty);
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149 | }
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150 | }
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151 | }
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152 |
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153 | public override bool Enabled {
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154 | get {
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155 | if (variableNames.Count == 0) return false;
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156 | return base.Enabled;
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157 | }
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158 | set {
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159 | if (variableNames.Count == 0) base.Enabled = false;
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160 | else base.Enabled = value;
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161 | }
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162 | }
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163 |
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164 | private const int minimumArity = 2;
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165 | private const int maximumArity = 2;
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166 |
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167 | public override int MinimumArity {
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168 | get { return minimumArity; }
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169 | }
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170 | public override int MaximumArity {
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171 | get { return maximumArity; }
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172 | }
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173 | #endregion
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174 |
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175 | #region persistence and cloning
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176 | [StorableHook(HookType.AfterDeserialization)]
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177 | private void AfterDeserialization() {
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178 | if (allVariableNames == null || (allVariableNames.Count == 0 && variableNames.Count > 0)) {
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179 | allVariableNames = variableNames;
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180 | }
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181 | }
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182 |
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183 | [StorableConstructor]
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184 | private VariableCondition(bool deserializing)
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185 | : base(deserializing) {
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186 | variableNames = new List<string>();
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187 | allVariableNames = new List<string>();
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188 | }
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189 | private VariableCondition(VariableCondition original, Cloner cloner)
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190 | : base(original, cloner) {
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191 | thresholdInitializerMu = original.thresholdInitializerMu;
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192 | thresholdInitializerSigma = original.thresholdInitializerSigma;
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193 | thresholdManipulatorMu = original.thresholdManipulatorMu;
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194 | thresholdManipulatorSigma = original.thresholdManipulatorSigma;
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195 |
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196 | variableNames = new List<string>(original.variableNames);
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197 | allVariableNames = new List<string>(original.allVariableNames);
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198 |
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199 | slopeInitializerMu = original.slopeInitializerMu;
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200 | slopeInitializerSigma = original.slopeInitializerSigma;
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201 | slopeManipulatorMu = original.slopeManipulatorMu;
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202 | slopeManipulatorSigma = original.slopeManipulatorSigma;
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203 | }
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204 | public override IDeepCloneable Clone(Cloner cloner) {
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205 | return new VariableCondition(this, cloner);
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206 | }
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207 | #endregion
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208 |
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209 | public VariableCondition() : this("Variable Condition", "Represents a condition that tests a given variable.") { }
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210 | public VariableCondition(string name, string description)
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211 | : base(name, description) {
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212 | thresholdInitializerMu = 0.0;
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213 | thresholdInitializerSigma = 0.1;
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214 | thresholdManipulatorMu = 0.0;
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215 | thresholdManipulatorSigma = 0.1;
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216 |
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217 | variableNames = new List<string>();
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218 | allVariableNames = new List<string>();
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219 |
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220 | slopeInitializerMu = 0.0;
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221 | slopeInitializerSigma = 0.0;
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222 | slopeManipulatorMu = 0.0;
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223 | slopeManipulatorSigma = 0.0;
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224 | }
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225 |
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226 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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227 | return new VariableConditionTreeNode(this);
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228 | }
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229 | }
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230 | }
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