[5553] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7259] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5553] | 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.Common;
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| 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 25 | using HeuristicLab.Operators;
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[7172] | 26 | using HeuristicLab.Optimization;
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[5553] | 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 |
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| 30 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 31 | /// <summary>
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[5557] | 32 | /// Abstract base class for symbolic data analysis analyzers.
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[5553] | 33 | /// </summary>
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| 34 | [StorableClass]
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| 35 | public abstract class SymbolicDataAnalysisAnalyzer : SingleSuccessorOperator, ISymbolicDataAnalysisAnalyzer {
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| 36 | private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree";
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| 37 | private const string ResultCollectionParameterName = "Results";
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| 38 |
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| 39 | #region parameter properties
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[5555] | 40 | public IScopeTreeLookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter {
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| 41 | get { return (IScopeTreeLookupParameter<ISymbolicExpressionTree>)Parameters[SymbolicExpressionTreeParameterName]; }
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[5553] | 42 | }
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| 43 | public ILookupParameter<ResultCollection> ResultCollectionParameter {
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| 44 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultCollectionParameterName]; }
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| 45 | }
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| 46 | #endregion
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| 47 | #region properties
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[7172] | 48 | public virtual bool EnabledByDefault {
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| 49 | get { return true; }
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| 50 | }
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[5882] | 51 | public ItemArray<ISymbolicExpressionTree> SymbolicExpressionTree {
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[5553] | 52 | get { return SymbolicExpressionTreeParameter.ActualValue; }
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| 53 | }
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| 54 | public ResultCollection ResultCollection {
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| 55 | get { return ResultCollectionParameter.ActualValue; }
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| 56 | }
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| 57 | #endregion
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| 58 | [StorableConstructor]
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| 59 | protected SymbolicDataAnalysisAnalyzer(bool deserializing) : base(deserializing) { }
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[5556] | 60 | protected SymbolicDataAnalysisAnalyzer(SymbolicDataAnalysisAnalyzer original, Cloner cloner)
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[5553] | 61 | : base(original, cloner) {
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| 62 | }
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| 63 | public SymbolicDataAnalysisAnalyzer()
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| 64 | : base() {
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[5555] | 65 | Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(SymbolicExpressionTreeParameterName, "The symbolic expression trees that should be analyzed."));
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[5553] | 66 | Parameters.Add(new LookupParameter<ResultCollection>(ResultCollectionParameterName, "The result collection to store the analysis results."));
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| 67 | }
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| 68 | }
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| 69 | }
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