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source: branches/SpectralKernelForGaussianProcesses/HeuristicLab.Encodings.IntegerVectorEncoding/3.3/IntegerVectorCreator.cs @ 10479

Last change on this file since 10479 was 10479, checked in by gkronber, 10 years ago

#2124 merged all changes from trunk to prepare for trunk-reintegration

File size: 4.3 KB
RevLine 
[3032]1#region License Information
2/* HeuristicLab
[9456]3 * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3032]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
[4722]22using HeuristicLab.Common;
[3032]23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Operators;
26using HeuristicLab.Optimization;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
[3053]30namespace HeuristicLab.Encodings.IntegerVectorEncoding {
[3032]31  /// <summary>
32  /// A base class for operators creating int-valued vectors.
33  /// </summary>
[3059]34  [Item("IntegerVectorCreator", "A base class for operators creating int-valued vectors.")]
[3032]35  [StorableClass]
[10479]36  public abstract class IntegerVectorCreator : InstrumentedOperator, IIntegerVectorCreator, IStochasticOperator {
[3520]37    public override bool CanChangeName {
38      get { return false; }
39    }
[3032]40    public ILookupParameter<IRandom> RandomParameter {
41      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
42    }
[3059]43    public ILookupParameter<IntegerVector> IntegerVectorParameter {
44      get { return (ILookupParameter<IntegerVector>)Parameters["IntegerVector"]; }
[3032]45    }
[3048]46    public IValueLookupParameter<IntValue> LengthParameter {
47      get { return (IValueLookupParameter<IntValue>)Parameters["Length"]; }
[3032]48    }
[8019]49    public IValueLookupParameter<IntMatrix> BoundsParameter {
50      get { return (IValueLookupParameter<IntMatrix>)Parameters["Bounds"]; }
[3032]51    }
52
[4722]53    [StorableConstructor]
54    protected IntegerVectorCreator(bool deserializing) : base(deserializing) { }
55    protected IntegerVectorCreator(IntegerVectorCreator original, Cloner cloner) : base(original, cloner) { }
[3059]56    protected IntegerVectorCreator()
[3032]57      : base() {
58      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
[3059]59      Parameters.Add(new LookupParameter<IntegerVector>("IntegerVector", "The vector which should be manipulated."));
[3048]60      Parameters.Add(new ValueLookupParameter<IntValue>("Length", "The length of the vector."));
[8019]61      Parameters.Add(new ValueLookupParameter<IntMatrix>("Bounds", "The bounds matrix can contain one row for each dimension with three columns specifying minimum (inclusive), maximum (exclusive), and step size. If less rows are given the matrix is cycled."));
[3032]62    }
63
[8019]64    // BackwardsCompatibility3.3
65    #region Backwards compatible code, remove with 3.4
66    [StorableHook(HookType.AfterDeserialization)]
67    private void AfterDeserialization() {
68      if (!Parameters.ContainsKey("Bounds")) {
69        var min = ((IValueLookupParameter<IntValue>)Parameters["Minimum"]).Value as IntValue;
70        var max = ((IValueLookupParameter<IntValue>)Parameters["Maximum"]).Value as IntValue;
71        Parameters.Remove("Minimum");
72        Parameters.Remove("Maximum");
73        Parameters.Add(new ValueLookupParameter<IntMatrix>("Bounds", "The bounds matrix can contain one row for each dimension with three columns specifying minimum (inclusive), maximum (exclusive), and step size. If less rows are given the matrix is cycled."));
74        if (min != null && max != null) {
75          BoundsParameter.Value = new IntMatrix(new int[,] { { min.Value, max.Value, 1 } });
76        }
77      }
78    }
79    #endregion
80
[10479]81    public sealed override IOperation InstrumentedApply() {
[8019]82      IntegerVectorParameter.ActualValue = Create(RandomParameter.ActualValue, LengthParameter.ActualValue, BoundsParameter.ActualValue);
[10479]83      return base.InstrumentedApply();
[3032]84    }
85
[8019]86    protected abstract IntegerVector Create(IRandom random, IntValue length, IntMatrix bounds);
[3032]87  }
88}
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