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source: branches/PersistenceSpeedUp/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/BinaryVector.cs @ 9573

Last change on this file since 9573 was 5445, checked in by swagner, 14 years ago

Updated year of copyrights (#1406)

File size: 2.2 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Encodings.BinaryVectorEncoding {
28  [StorableClass]
29  [Item("BinaryVector", "Represents a vector of binary values.")]
30  public class BinaryVector : BoolArray {
31    [StorableConstructor]
32    protected BinaryVector(bool deserializing) : base(deserializing) { }
33    protected BinaryVector(BinaryVector original, Cloner cloner) : base(original, cloner) { }
34    public BinaryVector() : base() { }
35    public BinaryVector(int length) : base(length) { }
36    public BinaryVector(int length, IRandom random)
37      : this(length) {
38      Randomize(random);
39    }
40    public BinaryVector(bool[] elements) : base(elements) { }
41    public BinaryVector(BoolArray elements)
42      : this(elements.Length) {
43      for (int i = 0; i < array.Length; i++)
44        array[i] = elements[i];
45    }
46
47    public override IDeepCloneable Clone(Cloner cloner) {
48      return new BinaryVector(this, cloner);
49    }
50
51    public virtual void Randomize(IRandom random, int startIndex, int length) {
52      if (length > 0) {
53        for (int i = 0; i < length; i++)
54          array[startIndex + i] = random.Next(2) == 0;
55        OnReset();
56      }
57    }
58    public void Randomize(IRandom random) {
59      Randomize(random, 0, Length);
60    }
61  }
62}
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