#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 .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Constraints;
using HeuristicLab.DataAnalysis;
namespace HeuristicLab.Functions {
public class Xor : FunctionBase {
public override string Description {
get {
return @"Logical XOR operation. Only defined for sub-operator-results 0.0 and 1.0.";
}
}
public Xor()
: base() {
AddConstraint(new NumberOfSubOperatorsConstraint(2, 2));
}
public Xor(Xor source, IDictionary clonedObjects)
: base(source, clonedObjects) {
}
public override double Evaluate(Dataset dataset, int sampleIndex) {
double r0 = Math.Round(SubFunctions[0].Evaluate(dataset, sampleIndex));
double r1 = Math.Round(SubFunctions[1].Evaluate(dataset, sampleIndex));
if((r0 == 0.0 && r1 == 0.0) ||
(r0 == 1.0 && r1 == 1.0)) return 0.0;
else if((r0 == 0.0 && r1 == 1.0) ||
(r0 == 1.0 && r1 == 0.0)) return 1.0;
else return double.NaN;
}
public override object Clone(IDictionary clonedObjects) {
Xor clone = new Xor(this, clonedObjects);
clonedObjects.Add(clone.Guid, clone);
return clone;
}
public override void Accept(IFunctionVisitor visitor) {
visitor.Visit(this);
}
}
}