source: stable/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/VariableCondition.cs @ 14811

Last change on this file since 14811 was 14811, checked in by mkommend, 2 years ago

#2442: Merged r12807, r13039, r13139, r13140, r13141, r13222, r13247, r13248, r13251, r13254, r13255, r13256, r1326, r13288, r13313, r13314, r13315, r13318, r14282, r14809, r14810 into stable.

File size: 7.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Clear();
89        variableNames.AddRange(value);
90        OnChanged(EventArgs.Empty);
91      }
92    }
93
94    private List<string> allVariableNames;
95    [Storable]
96    public IEnumerable<string> AllVariableNames {
97      get { return allVariableNames; }
98      set {
99        if (value == null) throw new ArgumentNullException();
100        allVariableNames.Clear();
101        allVariableNames.AddRange(value);
102      }
103    }
104
105    [Storable]
106    private double slopeInitializerMu;
107    public double SlopeInitializerMu {
108      get { return slopeInitializerMu; }
109      set {
110        if (value != slopeInitializerMu) {
111          slopeInitializerMu = value;
112          OnChanged(EventArgs.Empty);
113        }
114      }
115    }
116    [Storable]
117    private double slopeInitializerSigma;
118    public double SlopeInitializerSigma {
119      get { return slopeInitializerSigma; }
120      set {
121        if (slopeInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
122        if (value != slopeInitializerSigma) {
123          slopeInitializerSigma = value;
124          OnChanged(EventArgs.Empty);
125        }
126      }
127    }
128
129    [Storable]
130    private double slopeManipulatorMu;
131    public double SlopeManipulatorMu {
132      get { return slopeManipulatorMu; }
133      set {
134        if (value != slopeManipulatorMu) {
135          slopeManipulatorMu = value;
136          OnChanged(EventArgs.Empty);
137        }
138      }
139    }
140    [Storable]
141    private double slopeManipulatorSigma;
142    public double SlopeManipulatorSigma {
143      get { return slopeManipulatorSigma; }
144      set {
145        if (slopeManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
146        if (value != slopeManipulatorSigma) {
147          slopeManipulatorSigma = value;
148          OnChanged(EventArgs.Empty);
149        }
150      }
151    }
152
153    public override bool Enabled {
154      get {
155        if (variableNames.Count == 0) return false;
156        return base.Enabled;
157      }
158      set {
159        if (variableNames.Count == 0) base.Enabled = false;
160        else base.Enabled = value;
161      }
162    }
163
164    private const int minimumArity = 2;
165    private const int maximumArity = 2;
166
167    public override int MinimumArity {
168      get { return minimumArity; }
169    }
170    public override int MaximumArity {
171      get { return maximumArity; }
172    }
173    #endregion
174
175    #region persistence and cloning
176    [StorableHook(HookType.AfterDeserialization)]
177    private void AfterDeserialization() {
178      if (allVariableNames == null || (allVariableNames.Count == 0 && variableNames.Count > 0)) {
179        allVariableNames = variableNames;
180      }
181    }
182
183    [StorableConstructor]
184    private VariableCondition(bool deserializing)
185      : base(deserializing) {
186      variableNames = new List<string>();
187      allVariableNames = new List<string>();
188    }
189    private VariableCondition(VariableCondition original, Cloner cloner)
190      : base(original, cloner) {
191      thresholdInitializerMu = original.thresholdInitializerMu;
192      thresholdInitializerSigma = original.thresholdInitializerSigma;
193      thresholdManipulatorMu = original.thresholdManipulatorMu;
194      thresholdManipulatorSigma = original.thresholdManipulatorSigma;
195
196      variableNames = new List<string>(original.variableNames);
197      allVariableNames = new List<string>(original.allVariableNames);
198
199      slopeInitializerMu = original.slopeInitializerMu;
200      slopeInitializerSigma = original.slopeInitializerSigma;
201      slopeManipulatorMu = original.slopeManipulatorMu;
202      slopeManipulatorSigma = original.slopeManipulatorSigma;
203    }
204    public override IDeepCloneable Clone(Cloner cloner) {
205      return new VariableCondition(this, cloner);
206    }
207    #endregion
208
209    public VariableCondition() : this("Variable Condition", "Represents a condition that tests a given variable.") { }
210    public VariableCondition(string name, string description)
211      : base(name, description) {
212      thresholdInitializerMu = 0.0;
213      thresholdInitializerSigma = 0.1;
214      thresholdManipulatorMu = 0.0;
215      thresholdManipulatorSigma = 0.1;
216
217      variableNames = new List<string>();
218      allVariableNames = new List<string>();
219
220      slopeInitializerMu = 0.0;
221      slopeInitializerSigma = 0.0;
222      slopeManipulatorMu = 0.0;
223      slopeManipulatorSigma = 0.0;
224    }
225
226    public override ISymbolicExpressionTreeNode CreateTreeNode() {
227      return new VariableConditionTreeNode(this);
228    }
229  }
230}
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