#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.ConditionActionEncoding;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.VariableVector {
[Item("VariableVectorCoveringCreator", "Description missing")]
[StorableClass]
public class VariableVectorCoveringCreator : CoveringSolutionCreator, IVariableVectorCoveringCreator {
public IValueLookupParameter SampleVariableVectorParameter {
get { return (IValueLookupParameter)Parameters["SampleVariableVector"]; }
}
[StorableConstructor]
protected VariableVectorCoveringCreator(bool deserializing) : base(deserializing) { }
protected VariableVectorCoveringCreator(VariableVectorCoveringCreator original, Cloner cloner)
: base(original, cloner) {
}
public VariableVectorCoveringCreator()
: base() {
Parameters.Add(new ValueLookupParameter("SampleVariableVector"));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new VariableVectorCoveringCreator(this, cloner);
}
protected override IClassifier CreateCoveredClassifier(IInput input, IAction action, IRandom random, double changeSymbolProbability) {
var inputCast = input as VariableVectorInput;
var actionCast = action as VariableVectorAction;
VariableVectorCondition sampleVariableVectorCondition = SampleVariableVectorParameter.ActualValue.Condition;
IEnumerable newCondition = CoverInput(inputCast, sampleVariableVectorCondition, random, changeSymbolProbability);
return new VariableVector(newCondition, actionCast.Values);
}
private IEnumerable CoverInput(VariableVectorInput input, VariableVectorCondition sample, IRandom random, double changeSymbolProbability) {
var conditionVariables = new List();
if (!sample.Keys.All(x => input.ContainsKey(x))) {
throw new ArgumentException("Input does not contain all variable names from sample");
}
foreach (var keyValuePair in sample) {
IVariable variable = keyValuePair.Value.GetEmptyCopy();
variable.Cover(random, input[keyValuePair.Key], changeSymbolProbability);
conditionVariables.Add(variable);
}
return conditionVariables;
}
}
}