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source: trunk/sources/HeuristicLab.Optimization/3.3/Run.cs @ 3509

Last change on this file since 3509 was 3506, checked in by swagner, 15 years ago

Continued work on algorithm batch processing (#947)

File size: 4.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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;
23using System.Collections.Generic;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using System.Drawing;
28
29namespace HeuristicLab.Optimization {
30  /// <summary>
31  /// Represents the parameters and results of an algorithm run.
32  /// </summary>
33  [Item("Run", "The parameters and results of an algorithm run.")]
34  [StorableClass]
35  public sealed class Run : NamedItem, IRun {
36    [Storable]
37    private IAlgorithm algorithm;
38    public IAlgorithm Algorithm {
39      get { return algorithm; }
40    }
41    [Storable]
42    private Dictionary<string, IItem> parameters;
43    public IDictionary<string, IItem> Parameters {
44      get { return parameters; }
45    }
46    [Storable]
47    private Dictionary<string, IItem> results;
48    public IDictionary<string, IItem> Results {
49      get { return results; }
50    }
51
52    private Color color = Color.Black;
53    public Color Color {
54      get { return this.color; }
55      set {
56        if (color != value) {
57          this.color = value;
58          this.OnChanged();
59        }
60      }
61    }
62    private bool visible = true;
63    public bool Visible {
64      get { return this.visible; }
65      set {
66        if (visible != value) {
67          this.visible = value;
68          this.OnChanged();
69        }
70      }
71    }
72    public event EventHandler Changed;
73    private void OnChanged() {
74      EventHandler handler = Changed;
75      if (handler != null)
76        handler(this, EventArgs.Empty);
77    }
78
79    public Run()
80      : base() {
81      name = ItemName;
82      description = ItemDescription;
83      algorithm = null;
84      parameters = new Dictionary<string, IItem>();
85      results = new Dictionary<string, IItem>();
86    }
87    public Run(IAlgorithm algorithm)
88      : base() {
89      if (algorithm == null) throw new ArgumentNullException();
90      name = algorithm.Name + " Run (" + algorithm.ExecutionTime.ToString() + ")";
91      description = ItemDescription;
92      Initialize((IAlgorithm)algorithm.Clone());
93    }
94    public Run(string name, IAlgorithm algorithm)
95      : base(name) {
96      if (algorithm == null) throw new ArgumentNullException();
97      description = ItemDescription;
98      Initialize((IAlgorithm)algorithm.Clone());
99    }
100    public Run(string name, string description, IAlgorithm algorithm)
101      : base(name, description) {
102      if (algorithm == null) throw new ArgumentNullException();
103      Initialize((IAlgorithm)algorithm.Clone());
104    }
105
106    private void Initialize(IAlgorithm algorithm) {
107      this.algorithm = algorithm;
108      parameters = new Dictionary<string, IItem>();
109      results = new Dictionary<string, IItem>();
110      this.algorithm.CollectParameterValues(parameters);
111      this.algorithm.CollectResultValues(results);
112      this.algorithm.Prepare(true);
113    }
114
115    public override IDeepCloneable Clone(Cloner cloner) {
116      Run clone = (Run)base.Clone(cloner);
117      clone.algorithm = (IAlgorithm)cloner.Clone(algorithm);
118      foreach (string key in parameters.Keys)
119        clone.parameters.Add(key, (IItem)cloner.Clone(parameters[key]));
120      foreach (string key in results.Keys)
121        clone.results.Add(key, (IItem)cloner.Clone(results[key]));
122      return clone;
123    }
124  }
125}
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