source: branches/LearningClassifierSystems/HeuristicLab.Encodings.VariableVector/3.3/Manipulator/UniformActionManipulator.cs @ 9585

#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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.VariableVector {
  [Item("UniformActionManipulator", "Description missing")]
  [StorableClass]
  public class UniformActionManipulator : VariableVectorManipulator {

    #region Parameter Properties
    public ILookupParameter<IItemSet<VariableVectorAction>> PossibleActionsParameter {
      get { return (ILookupParameter<IItemSet<VariableVectorAction>>)Parameters["PossibleActions"]; }
    }
    #endregion

    [StorableConstructor]
    protected UniformActionManipulator(bool deserializing) : base(deserializing) { }
    protected UniformActionManipulator(UniformActionManipulator original, Cloner cloner)
      : base(original, cloner) {
    }
    public UniformActionManipulator()
      : base() {
      Parameters.Add(new LookupParameter<IItemSet<VariableVectorAction>>("PossibleActions"));
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new UniformActionManipulator(this, cloner);
    }

    protected override VariableVector Manipulate(IRandom random, VariableVectorInput input, VariableVector child, double spreadpercentage) {
      return Manipulate(random, child, PossibleActionsParameter.ActualValue);
    }

    public static VariableVector Manipulate(IRandom random, VariableVector child, IEnumerable<VariableVectorAction> possibleActions) {
      var otherActions = possibleActions.Except((child.Action).ToEnumerable());
      int actionIndex = random.Next(otherActions.Count());
      VariableVectorAction newAction = otherActions.ElementAt(actionIndex);
      return new VariableVector(child.Condition.VariableDictionary.Values.Select(x => x.GetSetCopy()), newAction.VariableDictionary.Values.Select(x => x.GetSetCopy()));
    }
  }
}