1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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 HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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23 | using System;
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24 | using System.Collections.Generic;
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25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Random;
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29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
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30 | [StorableClass]
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31 | public sealed class ConstantTreeNode : SymbolicExpressionTreeTerminalNode {
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32 | public new Constant Symbol {
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33 | get { return (Constant)base.Symbol; }
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34 | }
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35 | public override bool HasLocalParameters {
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36 | get {
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37 | return true;
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38 | }
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39 | }
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40 |
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41 | private double constantValue;
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42 | [Storable]
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43 | public double Value {
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44 | get { return constantValue; }
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45 | set { constantValue = value; }
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46 | }
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47 | // copy constructor
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48 | private ConstantTreeNode(ConstantTreeNode original)
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49 | : base(original) {
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50 | constantValue = original.constantValue;
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51 | }
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52 |
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53 | public ConstantTreeNode(Constant constantSymbol) : base(constantSymbol) { }
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54 |
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55 | public override void ResetLocalParameters(IRandom random) {
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56 | base.ResetLocalParameters(random);
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57 | var range = Symbol.MaxValue - Symbol.MaxValue;
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58 | Value = random.NextDouble() * range - Symbol.MinValue;
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59 | }
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60 |
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61 | public override object Clone() {
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62 | return new ConstantTreeNode(this);
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63 | }
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64 | }
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65 | }
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