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 |
|
---|
22 | using System;
|
---|
23 | using System.Collections.Generic;
|
---|
24 | using HeuristicLab.Core;
|
---|
25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
26 |
|
---|
27 | namespace HeuristicLab.Optimization {
|
---|
28 | /// <summary>
|
---|
29 | /// Represents the parameters and results of an algorithm run.
|
---|
30 | /// </summary>
|
---|
31 | [Item("Run", "The parameters and results of an algorithm run.")]
|
---|
32 | [StorableClass]
|
---|
33 | public sealed class Run : NamedItem, IRun {
|
---|
34 | [Storable]
|
---|
35 | private IAlgorithm algorithm;
|
---|
36 | public IAlgorithm Algorithm {
|
---|
37 | get { return algorithm; }
|
---|
38 | }
|
---|
39 | [Storable]
|
---|
40 | private Dictionary<string, IItem> parameters;
|
---|
41 | public IDictionary<string, IItem> Parameters {
|
---|
42 | get { return parameters; }
|
---|
43 | }
|
---|
44 | [Storable]
|
---|
45 | private Dictionary<string, IItem> results;
|
---|
46 | public IDictionary<string, IItem> Results {
|
---|
47 | get { return results; }
|
---|
48 | }
|
---|
49 |
|
---|
50 | public Run()
|
---|
51 | : base() {
|
---|
52 | name = ItemName;
|
---|
53 | description = ItemDescription;
|
---|
54 | algorithm = null;
|
---|
55 | parameters = new Dictionary<string, IItem>();
|
---|
56 | results = new Dictionary<string, IItem>();
|
---|
57 | }
|
---|
58 | public Run(IAlgorithm algorithm)
|
---|
59 | : base() {
|
---|
60 | if (algorithm == null) throw new ArgumentNullException();
|
---|
61 | name = algorithm.Name + " Run (" + algorithm.ExecutionTime.ToString() + ")";
|
---|
62 | description = ItemDescription;
|
---|
63 | Initialize((IAlgorithm)algorithm.Clone());
|
---|
64 | }
|
---|
65 | public Run(string name, IAlgorithm algorithm)
|
---|
66 | : base(name) {
|
---|
67 | if (algorithm == null) throw new ArgumentNullException();
|
---|
68 | description = ItemDescription;
|
---|
69 | Initialize((IAlgorithm)algorithm.Clone());
|
---|
70 | }
|
---|
71 | public Run(string name, string description, IAlgorithm algorithm)
|
---|
72 | : base(name, description) {
|
---|
73 | if (algorithm == null) throw new ArgumentNullException();
|
---|
74 | Initialize((IAlgorithm)algorithm.Clone());
|
---|
75 | }
|
---|
76 |
|
---|
77 | private void Initialize(IAlgorithm algorithm) {
|
---|
78 | this.algorithm = algorithm;
|
---|
79 | this.algorithm.Runs.Clear();
|
---|
80 | parameters = new Dictionary<string, IItem>();
|
---|
81 | results = new Dictionary<string, IItem>();
|
---|
82 | this.algorithm.CollectParameterValues(parameters);
|
---|
83 | this.algorithm.CollectResultValues(results);
|
---|
84 | }
|
---|
85 |
|
---|
86 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
87 | Run clone = (Run)base.Clone(cloner);
|
---|
88 | clone.algorithm = (IAlgorithm)cloner.Clone(algorithm);
|
---|
89 | foreach (string key in parameters.Keys)
|
---|
90 | clone.parameters.Add(key, (IItem)cloner.Clone(parameters[key]));
|
---|
91 | foreach (string key in results.Keys)
|
---|
92 | clone.results.Add(key, (IItem)cloner.Clone(results[key]));
|
---|
93 | return clone;
|
---|
94 | }
|
---|
95 | }
|
---|
96 | }
|
---|