#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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.ParameterConfigurationEncoding {
  /// <summary>
  /// TODO
  /// </summary>
  [Item("ParameterConfigurationOnePositionsManipulator", "TODO")]
  [StorableClass]
  public class ParameterConfigurationOnePositionsManipulator : ParameterConfigurationManipulator {
    #region Constructors and Cloning
    public ParameterConfigurationOnePositionsManipulator() : base() { }

    [StorableConstructor]
    protected ParameterConfigurationOnePositionsManipulator(bool deserializing) : base(deserializing) { }
    protected ParameterConfigurationOnePositionsManipulator(ParameterConfigurationOnePositionsManipulator original, Cloner cloner) : base(original, cloner) { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new ParameterConfigurationOnePositionsManipulator(this, cloner);
    }
    #endregion

    public sealed override IOperation Apply() {
      Apply(RandomParameter.ActualValue, ParameterConfigurationTreeParameter.ActualValue, IntValueManipulatorParameter.ActualValue, DoubleValueManipulatorParameter.ActualValue);
      return base.Apply();
    }

    public static void Apply(IRandom random, ParameterConfigurationTree configuration, IIntValueManipulator intValueManipulator, IDoubleValueManipulator doubleValueManipulator) {
      IOptimizable optimizable = configuration.GetRandomOptimizable(random);
      Mutate(random, optimizable, intValueManipulator, doubleValueManipulator);
    }
  }
}