#region License Information /* HeuristicLab * Copyright (C) 2002-2016 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.SurrogateProblem { [StorableClass] [Item("DataPointDistance", "A distance wrapper for DataPoints")] internal class DataPointDistance : DistanceBase> where T : class { #region properties [Storable] private IDistance dist; #endregion #region HLConstructors [StorableConstructor] protected DataPointDistance(bool deserializing) : base(deserializing) { } public override IDeepCloneable Clone(Cloner cloner) { return new DataPointDistance(this, cloner); } protected DataPointDistance(DataPointDistance original, Cloner cloner) : base(original, cloner) { dist = cloner.Clone(original.dist); } public DataPointDistance(IDistance distance) { dist = distance; } #endregion public override double Get(IDataPoint a, IDataPoint b) { return dist.Get(a.X(), b.X()); } public override double Get(IDataPoint a, IDataPoint b, double threshold) { return dist.Get(a.X(), b.X(), threshold); } } }