#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 Not : FunctionBase {
public override string Description {
get {
return @"Logical NOT operation. Only defined for sub-operator-results 0.0 and 1.0.";
}
}
public Not()
: base() {
AddConstraint(new NumberOfSubOperatorsConstraint(1, 1));
}
public Not(Not source, IDictionary clonedObjects)
: base(source, clonedObjects) {
}
public override double Evaluate(Dataset dataset, int sampleIndex) {
double result = Math.Round(SubFunctions[0].Evaluate(dataset, sampleIndex));
if(result == 0.0) return 1.0;
else if(result == 1.0) return 0.0;
else return double.NaN;
}
public override object Clone(IDictionary clonedObjects) {
Not clone = new Not(this, clonedObjects);
clonedObjects.Add(clone.Guid, clone);
return clone;
}
public override void Accept(IFunctionVisitor visitor) {
visitor.Visit(this);
}
}
}