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source: branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/TSNE/Distances/DistanceBase.cs @ 16462

Last change on this file since 16462 was 16462, checked in by jkarder, 5 years ago

#2520: worked on reintegration of new persistence

  • added nuget references to HEAL.Fossil
  • added StorableType attributes to many classes
  • changed signature of StorableConstructors
  • removed some classes in old persistence
  • removed some unnecessary usings
File size: 2.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Collections;
23using System.Collections.Generic;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HEAL.Fossil;
27
28namespace HeuristicLab.Algorithms.DataAnalysis {
29  [StorableType("58D49402-2AB1-49CF-9AEF-1C599C4B71F7")]
30  public abstract class DistanceBase<T> : Item, IDistance<T> {
31    #region HLConstructors & Cloning
32    [StorableConstructor]
33    protected DistanceBase(StorableConstructorFlag _) : base(_) { }
34    protected DistanceBase(DistanceBase<T> original, Cloner cloner) : base(original, cloner) { }
35    protected DistanceBase() { }
36    #endregion
37
38    public abstract double Get(T a, T b);
39
40    public IComparer<T> GetDistanceComparer(T item) {
41      return new DistanceComparer(item, this);
42    }
43
44    public double Get(object x, object y) {
45      return Get((T) x, (T) y);
46    }
47
48    public IComparer GetDistanceComparer(object item) {
49      return new DistanceComparer((T) item, this);
50    }
51
52    internal class DistanceComparer : IComparer<T>, IComparer {
53      private readonly T item;
54      private readonly IDistance<T> dist;
55
56      public DistanceComparer(T item, IDistance<T> dist) {
57        this.dist = dist;
58        this.item = item;
59      }
60
61      public int Compare(T x, T y) {
62        return dist.Get(x, item).CompareTo(dist.Get(y, item));
63      }
64
65      public int Compare(object x, object y) {
66        return Compare((T) x, (T) y);
67      }
68    }
69  }
70}
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