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source: branches/GP-MoveOperators/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/VariableCondition.cs @ 9666

Last change on this file since 9666 was 8206, checked in by gkronber, 12 years ago

#1847: merged r8084:8205 from trunk into GP move operators branch

File size: 6.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
30  [StorableClass]
31  [Item("Variable Condition", "Represents a condition that tests a given variable against a specified threshold.")]
32  public sealed class VariableCondition : Symbol {
33    #region properties
34    [Storable]
35    private double thresholdInitializerMu;
36    public double ThresholdInitializerMu {
37      get { return thresholdInitializerMu; }
38      set {
39        if (value != thresholdInitializerMu) {
40          thresholdInitializerMu = value;
41          OnChanged(EventArgs.Empty);
42        }
43      }
44    }
45    [Storable]
46    private double thresholdInitializerSigma;
47    public double ThresholdInitializerSigma {
48      get { return thresholdInitializerSigma; }
49      set {
50        if (thresholdInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
51        if (value != thresholdInitializerSigma) {
52          thresholdInitializerSigma = value;
53          OnChanged(EventArgs.Empty);
54        }
55      }
56    }
57
58    [Storable]
59    private double thresholdManipulatorMu;
60    public double ThresholdManipulatorMu {
61      get { return thresholdManipulatorMu; }
62      set {
63        if (value != thresholdManipulatorMu) {
64          thresholdManipulatorMu = value;
65          OnChanged(EventArgs.Empty);
66        }
67      }
68    }
69    [Storable]
70    private double thresholdManipulatorSigma;
71    public double ThresholdManipulatorSigma {
72      get { return thresholdManipulatorSigma; }
73      set {
74        if (thresholdManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
75        if (value != thresholdManipulatorSigma) {
76          thresholdManipulatorSigma = value;
77          OnChanged(EventArgs.Empty);
78        }
79      }
80    }
81
82    private List<string> variableNames;
83    [Storable]
84    public IEnumerable<string> VariableNames {
85      get { return variableNames; }
86      set {
87        if (value == null) throw new ArgumentNullException();
88        variableNames = new List<string>(value);
89        OnChanged(EventArgs.Empty);
90      }
91    }
92
93    [Storable]
94    private double slopeInitializerMu;
95    public double SlopeInitializerMu {
96      get { return slopeInitializerMu; }
97      set {
98        if (value != slopeInitializerMu) {
99          slopeInitializerMu = value;
100          OnChanged(EventArgs.Empty);
101        }
102      }
103    }
104    [Storable]
105    private double slopeInitializerSigma;
106    public double SlopeInitializerSigma {
107      get { return slopeInitializerSigma; }
108      set {
109        if (slopeInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
110        if (value != slopeInitializerSigma) {
111          slopeInitializerSigma = value;
112          OnChanged(EventArgs.Empty);
113        }
114      }
115    }
116
117    [Storable]
118    private double slopeManipulatorMu;
119    public double SlopeManipulatorMu {
120      get { return slopeManipulatorMu; }
121      set {
122        if (value != slopeManipulatorMu) {
123          slopeManipulatorMu = value;
124          OnChanged(EventArgs.Empty);
125        }
126      }
127    }
128    [Storable]
129    private double slopeManipulatorSigma;
130    public double SlopeManipulatorSigma {
131      get { return slopeManipulatorSigma; }
132      set {
133        if (slopeManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
134        if (value != slopeManipulatorSigma) {
135          slopeManipulatorSigma = value;
136          OnChanged(EventArgs.Empty);
137        }
138      }
139    }
140
141    private const int minimumArity = 2;
142    private const int maximumArity = 2;
143
144    public override int MinimumArity {
145      get { return minimumArity; }
146    }
147    public override int MaximumArity {
148      get { return maximumArity; }
149    }
150    #endregion
151
152    #region persistence and cloning
153    [StorableConstructor]
154    private VariableCondition(bool deserializing) : base(deserializing) { }
155    private VariableCondition(VariableCondition original, Cloner cloner)
156      : base(original, cloner) {
157      thresholdInitializerMu = original.thresholdInitializerMu;
158      thresholdInitializerSigma = original.thresholdInitializerSigma;
159      thresholdManipulatorMu = original.thresholdManipulatorMu;
160      thresholdManipulatorSigma = original.thresholdManipulatorSigma;
161
162      variableNames = new List<string>(original.variableNames);
163
164      slopeInitializerMu = original.slopeInitializerMu;
165      slopeInitializerSigma = original.slopeInitializerSigma;
166      slopeManipulatorMu = original.slopeManipulatorMu;
167      slopeManipulatorSigma = original.slopeManipulatorSigma;
168    }
169    public override IDeepCloneable Clone(Cloner cloner) {
170      return new VariableCondition(this, cloner);
171    }
172    #endregion
173
174    public VariableCondition() : this("Variable Condition", "Represents a condition that tests a given variable.") { }
175    public VariableCondition(string name, string description)
176      : base(name, description) {
177      thresholdInitializerMu = 0.0;
178      thresholdInitializerSigma = 0.1;
179      thresholdManipulatorMu = 0.0;
180      thresholdManipulatorSigma = 0.1;
181
182      variableNames = new List<string>();
183
184      slopeInitializerMu = 0.0;
185      slopeInitializerSigma = 0.0;
186      slopeManipulatorMu = 0.0;
187      slopeManipulatorSigma = 0.0;
188    }
189
190    public override ISymbolicExpressionTreeNode CreateTreeNode() {
191      return new VariableConditionTreeNode(this);
192    }
193  }
194}
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