#region License Information
/* HeuristicLab
* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System.Linq;
using HeuristicLab.Core;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.EvolutionTracking;
namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
public class SymbolicDataAnalysisExpressionBeforeManipulatorOperator : BeforeManipulatorOperator {
public override IOperation Apply() {
var result = base.Apply(); // add the vertex in the genealogy graph
var vChild = (IGenealogyGraphNode)GenealogyGraph.GetByContent(ChildParameter.ActualValue);
var vClone = vChild.Parents.Last();
vChild.InArcs.First().Data = vClone.Data.IterateNodesPrefix().ToList();
var fragment = (IFragment)vClone.InArcs.Last().Data;
if (fragment != null) {
// this step must be performed because the fragment root actually references the original child (not the clone).
// then, a mutation operation (acting on the original child), could disrupt it
fragment.Root = vClone.Data.IterateNodesPrefix().ElementAt(fragment.Index1);
}
return result;
}
}
}