#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); } } }