source: trunk/sources/HeuristicLab.Functions/IfThenElse.cs @ 202

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2008 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Constraints;
using HeuristicLab.DataAnalysis;

namespace HeuristicLab.Functions {
  public class IfThenElse : FunctionBase {
    public override string Description {
      get {
        return @"Returns the result of the second sub-tree if the first sub-tree evaluates to a value < 0.5 and the result
of the third sub-tree if the first sub-tree evaluates to >= 0.5.";
      }
    }

    public IfThenElse()
      : base() {
      AddConstraint(new NumberOfSubOperatorsConstraint(3, 3));
    }

    public override IFunctionTree GetTreeNode() {
      return new IfThenElseFunctionTree(this);
    }

    // special form
    public override double Apply(Dataset dataset, int sampleIndex, double[] args) {
      throw new NotImplementedException();
    }

    public override void Accept(IFunctionVisitor visitor) {
      visitor.Visit(this);
    }
  }

  class IfThenElseFunctionTree : FunctionTree {
    public IfThenElseFunctionTree() : base() { }
    public IfThenElseFunctionTree(IfThenElse ifte) : base(ifte) { }

    public override double Evaluate(Dataset dataset, int sampleIndex) {
      double condition = Math.Round(SubTrees[0].Evaluate(dataset, sampleIndex));
      if(condition < .5) return SubTrees[1].Evaluate(dataset, sampleIndex);
      else if(condition >= .5) return SubTrees[2].Evaluate(dataset, sampleIndex);
      else return double.NaN;
    }

    public override object Clone(IDictionary<Guid, object> clonedObjects) {
      IfThenElseFunctionTree clone = new IfThenElseFunctionTree();
      clonedObjects.Add(clone.Guid, clone);
      FillClone(clone, clonedObjects);
      return clone;
    }
  }
}