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source: trunk/sources/HeuristicLab.Tests/HeuristicLab-3.3/CollectObjectGraphTest.cs @ 15301

Last change on this file since 15301 was 15287, checked in by jkarder, 7 years ago

#2258: merged Async branch into trunk

File size: 6.4 KB
RevLine 
[6201]1#region License Information
2/* HeuristicLab
[14185]3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[6201]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;
[6495]26using System.Threading.Tasks;
[6201]27using HeuristicLab.Algorithms.GeneticAlgorithm;
28using HeuristicLab.Common;
[6205]29using HeuristicLab.Optimization;
[6201]30using HeuristicLab.Persistence.Default.Xml;
[6205]31using HeuristicLab.Problems.TestFunctions;
[6201]32using Microsoft.VisualStudio.TestTools.UnitTesting;
33
[9764]34namespace HeuristicLab.Tests {
[6201]35  [TestClass]
36  public class CollectObjectGraphTest {
37
38    private TestContext testContextInstance;
39    public TestContext TestContext {
40      get { return testContextInstance; }
41      set { testContextInstance = value; }
42    }
43
44    [TestMethod]
[13676]45    [Description("Verify that the object graph traversal is working by checking the number of objects after traversal.")]
[9783]46    [TestCategory("General")]
47    [TestCategory("Essential")]
48    [TestProperty("Time", "medium")]
[13676]49    public void TestObjectGraphTraversal() {
[13510]50      GeneticAlgorithm ga = (GeneticAlgorithm)XmlParser.Deserialize(@"Test Resources\GA_SymbReg.hl");
51      var objects = ga.GetObjectGraphObjects().ToList();
52
53      // Should be 3982, but count may change slightly as members are added or removed
54      Assert.IsTrue(objects.Count > 1, "Number of objects in the object graph seems to small.");
55    }
56
57    [TestMethod]
58    [TestCategory("General")]
59    [TestCategory("Essential")]
60    [TestProperty("Time", "medium")]
[6201]61    public void CollectGASample() {
[9955]62      GeneticAlgorithm ga = (GeneticAlgorithm)XmlParser.Deserialize(@"Test Resources\GA_SymbReg.hl");
[6201]63
64      Stopwatch watch = new Stopwatch();
65      watch.Start();
66      for (int i = 0; i < 1; i++)
67        ga.GetObjectGraphObjects().Count();
68      watch.Stop();
69
70      var objects = ga.GetObjectGraphObjects().ToList();
71
72      TestContext.WriteLine("Time elapsed {0}", watch.Elapsed);
73      TestContext.WriteLine("Objects discovered: {0}", objects.Count());
[8309]74      TestContext.WriteLine("HL objects discovered: {0}", objects.Count(o => o.GetType().Namespace.StartsWith("HeuristicLab")));
[6201]75      TestContext.WriteLine("");
76
77      Dictionary<Type, List<object>> objs = new Dictionary<Type, List<object>>();
78      foreach (object o in objects) {
79        if (!objs.ContainsKey(o.GetType()))
80          objs.Add(o.GetType(), new List<object>());
81        objs[o.GetType()].Add(o);
82      }
83
84      foreach (string s in objects.Select(o => o.GetType().Namespace).Distinct().OrderBy(s => s)) {
[8309]85        TestContext.WriteLine("{0}: {1}", s, objects.Count(o => o.GetType().Namespace == s));
[6201]86      }
87      TestContext.WriteLine("");
88
89
90      TestContext.WriteLine("Analysis of contained objects per name");
91      foreach (var pair in objs.OrderBy(x => x.Key.ToString())) {
92        TestContext.WriteLine("{0}: {1}", pair.Key, pair.Value.Count);
93      }
94      TestContext.WriteLine("");
95
96      TestContext.WriteLine("Analysis of contained objects");
97      foreach (var pair in from o in objs orderby o.Value.Count descending select o) {
98        TestContext.WriteLine("{0}: {1}", pair.Key, pair.Value.Count);
99      }
100      TestContext.WriteLine("");
101    }
[6205]102
[6209]103    /// <summary>
104    /// Tests if performance of multiple executions of a GA stays constant (as discussed in #1424)
105    /// Tests if object collection works after multiple executions of a GA
106    /// (for example the traversal of `ThreadLocal` objects in CollectObjectGraphObjects
107    /// causes a StackOverflow occurs after some executions)
108    /// </summary>
[6205]109    [TestMethod]
[9783]110    [TestCategory("General")]
111    [TestProperty("Time", "long")]
[6205]112    public void AlgorithmExecutions() {
113      var algs = new List<IAlgorithm>();
114
115      Stopwatch sw = new Stopwatch();
116      for (int i = 0; i < 100; i++) {
117        GeneticAlgorithm ga = new GeneticAlgorithm();
118        ga.PopulationSize.Value = 5;
119        ga.MaximumGenerations.Value = 5;
[9764]120        ga.Engine = new SequentialEngine.SequentialEngine();
[6205]121        ga.Problem = new SingleObjectiveTestFunctionProblem();
122
123        sw.Start();
124        algs.Add(ga);
125
[15287]126        ga.Start();
[6205]127        sw.Stop();
128        TestContext.WriteLine("{0}: {1} ", i, sw.Elapsed);
129        sw.Reset();
130      }
131    }
[6495]132
133    /// <summary>
134    /// Test the execution of many algorithms in parallel
135    /// </summary>
136    [TestMethod]
[9783]137    [TestCategory("General")]
138    [TestProperty("Time", "medium")]
[6495]139    public void ParallelAlgorithmExecutions() {
140      int n = 60;
141      var tasks = new Task[n];
142
143      TestContext.WriteLine("creating tasks...");
144      for (int i = 0; i < n; i++) {
145        tasks[i] = new Task((iobj) => {
146          int locali = (int)iobj;
147          GeneticAlgorithm ga = new GeneticAlgorithm();
148          ga.Name = "Alg " + locali;
149          ga.PopulationSize.Value = 5;
150          ga.MaximumGenerations.Value = 5;
[9764]151          ga.Engine = new SequentialEngine.SequentialEngine();
[6495]152          ga.Problem = new SingleObjectiveTestFunctionProblem();
153          ga.Prepare(true);
154          Console.WriteLine("{0}; Objects before execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
155          var sw = new Stopwatch();
156          sw.Start();
[15287]157          ga.Start();
[6495]158          sw.Stop();
159          Console.WriteLine("{0}; Objects after execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
160          Console.WriteLine("{0}; ExecutionTime: {1} ", ga.Name, sw.Elapsed);
161        }, i);
162      }
163      TestContext.WriteLine("starting tasks...");
164      for (int i = 0; i < n; i++) {
165        tasks[i].Start();
166      }
167      TestContext.WriteLine("waiting for tasks to finish...");
168      Task.WaitAll(tasks);
169    }
[6201]170  }
171}
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