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source: branches/crossvalidation-2434/HeuristicLab.Tests/HeuristicLab-3.3/CollectObjectGraphTest.cs @ 14029

Last change on this file since 14029 was 14029, checked in by gkronber, 8 years ago

#2434: merged trunk changes r12934:14026 from trunk to branch

File size: 6.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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 System.Diagnostics;
25using System.Linq;
26using System.Threading;
27using System.Threading.Tasks;
28using HeuristicLab.Algorithms.GeneticAlgorithm;
29using HeuristicLab.Common;
30using HeuristicLab.Optimization;
31using HeuristicLab.Persistence.Default.Xml;
32using HeuristicLab.Problems.TestFunctions;
33using Microsoft.VisualStudio.TestTools.UnitTesting;
34
35namespace HeuristicLab.Tests {
36  [TestClass]
37  public class CollectObjectGraphTest {
38
39    private TestContext testContextInstance;
40    public TestContext TestContext {
41      get { return testContextInstance; }
42      set { testContextInstance = value; }
43    }
44
45    [TestMethod]
46    [Description("Verify that the object graph traversal is working by checking the number of objects after traversal.")]
47    [TestCategory("General")]
48    [TestCategory("Essential")]
49    [TestProperty("Time", "medium")]
50    public void TestObjectGraphTraversal() {
51      GeneticAlgorithm ga = (GeneticAlgorithm)XmlParser.Deserialize(@"Test Resources\GA_SymbReg.hl");
52      var objects = ga.GetObjectGraphObjects().ToList();
53
54      // Should be 3982, but count may change slightly as members are added or removed
55      Assert.IsTrue(objects.Count > 1, "Number of objects in the object graph seems to small.");
56    }
57
58    [TestMethod]
59    [TestCategory("General")]
60    [TestCategory("Essential")]
61    [TestProperty("Time", "medium")]
62    public void CollectGASample() {
63      GeneticAlgorithm ga = (GeneticAlgorithm)XmlParser.Deserialize(@"Test Resources\GA_SymbReg.hl");
64
65      Stopwatch watch = new Stopwatch();
66      watch.Start();
67      for (int i = 0; i < 1; i++)
68        ga.GetObjectGraphObjects().Count();
69      watch.Stop();
70
71      var objects = ga.GetObjectGraphObjects().ToList();
72
73      TestContext.WriteLine("Time elapsed {0}", watch.Elapsed);
74      TestContext.WriteLine("Objects discovered: {0}", objects.Count());
75      TestContext.WriteLine("HL objects discovered: {0}", objects.Count(o => o.GetType().Namespace.StartsWith("HeuristicLab")));
76      TestContext.WriteLine("");
77
78      Dictionary<Type, List<object>> objs = new Dictionary<Type, List<object>>();
79      foreach (object o in objects) {
80        if (!objs.ContainsKey(o.GetType()))
81          objs.Add(o.GetType(), new List<object>());
82        objs[o.GetType()].Add(o);
83      }
84
85      foreach (string s in objects.Select(o => o.GetType().Namespace).Distinct().OrderBy(s => s)) {
86        TestContext.WriteLine("{0}: {1}", s, objects.Count(o => o.GetType().Namespace == s));
87      }
88      TestContext.WriteLine("");
89
90
91      TestContext.WriteLine("Analysis of contained objects per name");
92      foreach (var pair in objs.OrderBy(x => x.Key.ToString())) {
93        TestContext.WriteLine("{0}: {1}", pair.Key, pair.Value.Count);
94      }
95      TestContext.WriteLine("");
96
97      TestContext.WriteLine("Analysis of contained objects");
98      foreach (var pair in from o in objs orderby o.Value.Count descending select o) {
99        TestContext.WriteLine("{0}: {1}", pair.Key, pair.Value.Count);
100      }
101      TestContext.WriteLine("");
102    }
103
104    /// <summary>
105    /// Tests if performance of multiple executions of a GA stays constant (as discussed in #1424)
106    /// Tests if object collection works after multiple executions of a GA
107    /// (for example the traversal of `ThreadLocal` objects in CollectObjectGraphObjects
108    /// causes a StackOverflow occurs after some executions)
109    /// </summary>
110    [TestMethod]
111    [TestCategory("General")]
112    [TestProperty("Time", "long")]
113    public void AlgorithmExecutions() {
114      var algs = new List<IAlgorithm>();
115
116      Stopwatch sw = new Stopwatch();
117      for (int i = 0; i < 100; i++) {
118        GeneticAlgorithm ga = new GeneticAlgorithm();
119        ga.PopulationSize.Value = 5;
120        ga.MaximumGenerations.Value = 5;
121        ga.Engine = new SequentialEngine.SequentialEngine();
122        ga.Problem = new SingleObjectiveTestFunctionProblem();
123
124        sw.Start();
125        algs.Add(ga);
126
127        var cancellationTokenSource = new CancellationTokenSource();
128        ga.StartSync(cancellationTokenSource.Token);
129        sw.Stop();
130        TestContext.WriteLine("{0}: {1} ", i, sw.Elapsed);
131        sw.Reset();
132      }
133    }
134
135    /// <summary>
136    /// Test the execution of many algorithms in parallel
137    /// </summary>
138    [TestMethod]
139    [TestCategory("General")]
140    [TestProperty("Time", "medium")]
141    public void ParallelAlgorithmExecutions() {
142      int n = 60;
143      var tasks = new Task[n];
144
145      TestContext.WriteLine("creating tasks...");
146      for (int i = 0; i < n; i++) {
147        tasks[i] = new Task((iobj) => {
148          int locali = (int)iobj;
149          GeneticAlgorithm ga = new GeneticAlgorithm();
150          ga.Name = "Alg " + locali;
151          ga.PopulationSize.Value = 5;
152          ga.MaximumGenerations.Value = 5;
153          ga.Engine = new SequentialEngine.SequentialEngine();
154          ga.Problem = new SingleObjectiveTestFunctionProblem();
155          ga.Prepare(true);
156          Console.WriteLine("{0}; Objects before execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
157          var sw = new Stopwatch();
158          sw.Start();
159          ga.StartSync(new CancellationToken());
160          sw.Stop();
161          Console.WriteLine("{0}; Objects after execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
162          Console.WriteLine("{0}; ExecutionTime: {1} ", ga.Name, sw.Elapsed);
163        }, i);
164      }
165      TestContext.WriteLine("starting tasks...");
166      for (int i = 0; i < n; i++) {
167        tasks[i].Start();
168      }
169      TestContext.WriteLine("waiting for tasks to finish...");
170      Task.WaitAll(tasks);
171    }
172  }
173}
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