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source: stable/HeuristicLab.Tests/HeuristicLab-3.3/CollectObjectGraphTest.cs @ 17935

Last change on this file since 17935 was 17181, checked in by swagner, 5 years ago

#2875: Merged r17180 from trunk to stable

File size: 6.4 KB
RevLine 
[6201]1#region License Information
2/* HeuristicLab
[17181]3 * Copyright (C) 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;
[17105]27using HEAL.Attic;
[6201]28using HeuristicLab.Algorithms.GeneticAlgorithm;
29using HeuristicLab.Common;
[6205]30using HeuristicLab.Optimization;
31using HeuristicLab.Problems.TestFunctions;
[6201]32using Microsoft.VisualStudio.TestTools.UnitTesting;
33
[9885]34namespace HeuristicLab.Tests {
[6201]35  [TestClass]
36  public class CollectObjectGraphTest {
[17105]37    private static readonly ProtoBufSerializer serializer = new ProtoBufSerializer();
[6201]38
39    private TestContext testContextInstance;
40    public TestContext TestContext {
41      get { return testContextInstance; }
42      set { testContextInstance = value; }
43    }
44
45    [TestMethod]
[13879]46    [Description("Verify that the object graph traversal is working by checking the number of objects after traversal.")]
[9885]47    [TestCategory("General")]
48    [TestCategory("Essential")]
49    [TestProperty("Time", "medium")]
[13879]50    public void TestObjectGraphTraversal() {
[17105]51      GeneticAlgorithm ga = (GeneticAlgorithm)serializer.Deserialize(@"Test Resources\GA_SymbReg.hl");
[13879]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")]
[6201]62    public void CollectGASample() {
[17105]63      GeneticAlgorithm ga = (GeneticAlgorithm)serializer.Deserialize(@"Test Resources\GA_SymbReg.hl");
[6201]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());
[8309]75      TestContext.WriteLine("HL objects discovered: {0}", objects.Count(o => o.GetType().Namespace.StartsWith("HeuristicLab")));
[6201]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)) {
[8309]86        TestContext.WriteLine("{0}: {1}", s, objects.Count(o => o.GetType().Namespace == s));
[6201]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    }
[6205]103
[6209]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>
[6205]110    [TestMethod]
[9885]111    [TestCategory("General")]
112    [TestProperty("Time", "long")]
[6205]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;
[9885]121        ga.Engine = new SequentialEngine.SequentialEngine();
[6205]122        ga.Problem = new SingleObjectiveTestFunctionProblem();
123
124        sw.Start();
125        algs.Add(ga);
126
[15292]127        ga.Start();
[6205]128        sw.Stop();
129        TestContext.WriteLine("{0}: {1} ", i, sw.Elapsed);
130        sw.Reset();
131      }
132    }
[6495]133
134    /// <summary>
135    /// Test the execution of many algorithms in parallel
136    /// </summary>
137    [TestMethod]
[9885]138    [TestCategory("General")]
139    [TestProperty("Time", "medium")]
[6495]140    public void ParallelAlgorithmExecutions() {
141      int n = 60;
142      var tasks = new Task[n];
143
144      TestContext.WriteLine("creating tasks...");
145      for (int i = 0; i < n; i++) {
146        tasks[i] = new Task((iobj) => {
147          int locali = (int)iobj;
148          GeneticAlgorithm ga = new GeneticAlgorithm();
149          ga.Name = "Alg " + locali;
150          ga.PopulationSize.Value = 5;
151          ga.MaximumGenerations.Value = 5;
[9885]152          ga.Engine = new SequentialEngine.SequentialEngine();
[6495]153          ga.Problem = new SingleObjectiveTestFunctionProblem();
154          ga.Prepare(true);
155          Console.WriteLine("{0}; Objects before execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
156          var sw = new Stopwatch();
157          sw.Start();
[15292]158          ga.Start();
[6495]159          sw.Stop();
160          Console.WriteLine("{0}; Objects after execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
161          Console.WriteLine("{0}; ExecutionTime: {1} ", ga.Name, sw.Elapsed);
162        }, i);
163      }
164      TestContext.WriteLine("starting tasks...");
165      for (int i = 0; i < n; i++) {
166        tasks[i].Start();
167      }
168      TestContext.WriteLine("waiting for tasks to finish...");
169      Task.WaitAll(tasks);
170    }
[6201]171  }
172}
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