#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 Joseph Helm and 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;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Core;
using HeuristicLab.Common;
using HeuristicLab.Encodings.PackingEncoding.GroupingVector;
using HeuristicLab.Problems.BinPacking;
using HeuristicLab.Encodings.PackingEncoding;

namespace HeuristicLab.Problems.BinPacking3D {
  [Item("Identical bin, three dimensional, GroupingVector-decoder", "<Description missing...>")]
  [StorableClass]
  public class DeepestBottomLeftGroupingVectorDecoder : PackingSolutionDecoder<PackingPosition, PackingShape, PackingItem>, I3DGVDecoder {
    public DeepestBottomLeftGroupingVectorDecoder() : base() {}
    [StorableConstructor]
    protected DeepestBottomLeftGroupingVectorDecoder(bool deserializing) : base(deserializing) { }
    protected DeepestBottomLeftGroupingVectorDecoder(DeepestBottomLeftGroupingVectorDecoder original, Cloner cloner)
      : base(original, cloner) {
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new DeepestBottomLeftGroupingVectorDecoder(this, cloner);
    }

    public override PackingPlan<PackingPosition, PackingShape, PackingItem> CreatePackingPlanFromEncoding(IItem encodedSolution, PackingShape binMeasures, ItemList<PackingItem> itemMeasures) {
      var solution = encodedSolution as GroupingVectorEncoding;
      if (solution == null) throw new InvalidOperationException("Encoding is not of type GroupingVector");
      Solution result = new Solution(binMeasures);
      result.Pack(solution, itemMeasures);
      return result;
    }
  }
}