[6201] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[17181] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[6201] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Diagnostics;
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| 25 | using System.Linq;
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[6495] | 26 | using System.Threading.Tasks;
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[17105] | 27 | using HEAL.Attic;
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[6201] | 28 | using HeuristicLab.Algorithms.GeneticAlgorithm;
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| 29 | using HeuristicLab.Common;
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[6205] | 30 | using HeuristicLab.Optimization;
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| 31 | using HeuristicLab.Problems.TestFunctions;
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[6201] | 32 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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| 33 |
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[9885] | 34 | namespace HeuristicLab.Tests {
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[6201] | 35 | [TestClass]
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| 36 | public class CollectObjectGraphTest {
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[17105] | 37 | private static readonly ProtoBufSerializer serializer = new ProtoBufSerializer();
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[6201] | 38 |
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| 39 | private TestContext testContextInstance;
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| 40 | public TestContext TestContext {
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| 41 | get { return testContextInstance; }
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| 42 | set { testContextInstance = value; }
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| 43 | }
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| 44 |
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| 45 | [TestMethod]
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[13879] | 46 | [Description("Verify that the object graph traversal is working by checking the number of objects after traversal.")]
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[9885] | 47 | [TestCategory("General")]
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| 48 | [TestCategory("Essential")]
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| 49 | [TestProperty("Time", "medium")]
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[13879] | 50 | public void TestObjectGraphTraversal() {
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[17105] | 51 | GeneticAlgorithm ga = (GeneticAlgorithm)serializer.Deserialize(@"Test Resources\GA_SymbReg.hl");
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[13879] | 52 | var objects = ga.GetObjectGraphObjects().ToList();
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| 53 |
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| 54 | // Should be 3982, but count may change slightly as members are added or removed
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| 55 | Assert.IsTrue(objects.Count > 1, "Number of objects in the object graph seems to small.");
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| 56 | }
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| 57 |
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| 58 | [TestMethod]
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| 59 | [TestCategory("General")]
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| 60 | [TestCategory("Essential")]
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| 61 | [TestProperty("Time", "medium")]
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[6201] | 62 | public void CollectGASample() {
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[17105] | 63 | GeneticAlgorithm ga = (GeneticAlgorithm)serializer.Deserialize(@"Test Resources\GA_SymbReg.hl");
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[6201] | 64 |
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| 65 | Stopwatch watch = new Stopwatch();
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| 66 | watch.Start();
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| 67 | for (int i = 0; i < 1; i++)
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| 68 | ga.GetObjectGraphObjects().Count();
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| 69 | watch.Stop();
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| 70 |
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| 71 | var objects = ga.GetObjectGraphObjects().ToList();
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| 72 |
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| 73 | TestContext.WriteLine("Time elapsed {0}", watch.Elapsed);
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| 74 | TestContext.WriteLine("Objects discovered: {0}", objects.Count());
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[8309] | 75 | TestContext.WriteLine("HL objects discovered: {0}", objects.Count(o => o.GetType().Namespace.StartsWith("HeuristicLab")));
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[6201] | 76 | TestContext.WriteLine("");
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| 77 |
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| 78 | Dictionary<Type, List<object>> objs = new Dictionary<Type, List<object>>();
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| 79 | foreach (object o in objects) {
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| 80 | if (!objs.ContainsKey(o.GetType()))
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| 81 | objs.Add(o.GetType(), new List<object>());
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| 82 | objs[o.GetType()].Add(o);
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| 83 | }
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| 84 |
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| 85 | foreach (string s in objects.Select(o => o.GetType().Namespace).Distinct().OrderBy(s => s)) {
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[8309] | 86 | TestContext.WriteLine("{0}: {1}", s, objects.Count(o => o.GetType().Namespace == s));
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[6201] | 87 | }
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| 88 | TestContext.WriteLine("");
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| 89 |
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| 90 |
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| 91 | TestContext.WriteLine("Analysis of contained objects per name");
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| 92 | foreach (var pair in objs.OrderBy(x => x.Key.ToString())) {
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| 93 | TestContext.WriteLine("{0}: {1}", pair.Key, pair.Value.Count);
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| 94 | }
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| 95 | TestContext.WriteLine("");
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| 96 |
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| 97 | TestContext.WriteLine("Analysis of contained objects");
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| 98 | foreach (var pair in from o in objs orderby o.Value.Count descending select o) {
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| 99 | TestContext.WriteLine("{0}: {1}", pair.Key, pair.Value.Count);
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| 100 | }
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| 101 | TestContext.WriteLine("");
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| 102 | }
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[6205] | 103 |
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[6209] | 104 | /// <summary>
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| 105 | /// Tests if performance of multiple executions of a GA stays constant (as discussed in #1424)
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| 106 | /// Tests if object collection works after multiple executions of a GA
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| 107 | /// (for example the traversal of `ThreadLocal` objects in CollectObjectGraphObjects
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| 108 | /// causes a StackOverflow occurs after some executions)
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| 109 | /// </summary>
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[6205] | 110 | [TestMethod]
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[9885] | 111 | [TestCategory("General")]
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| 112 | [TestProperty("Time", "long")]
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[6205] | 113 | public void AlgorithmExecutions() {
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| 114 | var algs = new List<IAlgorithm>();
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| 115 |
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| 116 | Stopwatch sw = new Stopwatch();
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| 117 | for (int i = 0; i < 100; i++) {
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| 118 | GeneticAlgorithm ga = new GeneticAlgorithm();
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| 119 | ga.PopulationSize.Value = 5;
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| 120 | ga.MaximumGenerations.Value = 5;
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[9885] | 121 | ga.Engine = new SequentialEngine.SequentialEngine();
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[6205] | 122 | ga.Problem = new SingleObjectiveTestFunctionProblem();
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| 123 |
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| 124 | sw.Start();
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| 125 | algs.Add(ga);
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| 126 |
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[15292] | 127 | ga.Start();
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[6205] | 128 | sw.Stop();
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| 129 | TestContext.WriteLine("{0}: {1} ", i, sw.Elapsed);
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| 130 | sw.Reset();
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| 131 | }
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| 132 | }
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[6495] | 133 |
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| 134 | /// <summary>
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| 135 | /// Test the execution of many algorithms in parallel
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| 136 | /// </summary>
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| 137 | [TestMethod]
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[9885] | 138 | [TestCategory("General")]
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| 139 | [TestProperty("Time", "medium")]
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[6495] | 140 | public void ParallelAlgorithmExecutions() {
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| 141 | int n = 60;
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| 142 | var tasks = new Task[n];
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| 143 |
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| 144 | TestContext.WriteLine("creating tasks...");
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| 145 | for (int i = 0; i < n; i++) {
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| 146 | tasks[i] = new Task((iobj) => {
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| 147 | int locali = (int)iobj;
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| 148 | GeneticAlgorithm ga = new GeneticAlgorithm();
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| 149 | ga.Name = "Alg " + locali;
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| 150 | ga.PopulationSize.Value = 5;
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| 151 | ga.MaximumGenerations.Value = 5;
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[9885] | 152 | ga.Engine = new SequentialEngine.SequentialEngine();
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[6495] | 153 | ga.Problem = new SingleObjectiveTestFunctionProblem();
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| 154 | ga.Prepare(true);
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| 155 | Console.WriteLine("{0}; Objects before execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
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| 156 | var sw = new Stopwatch();
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| 157 | sw.Start();
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[15292] | 158 | ga.Start();
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[6495] | 159 | sw.Stop();
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| 160 | Console.WriteLine("{0}; Objects after execution: {1}", ga.Name, ga.GetObjectGraphObjects().Count());
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| 161 | Console.WriteLine("{0}; ExecutionTime: {1} ", ga.Name, sw.Elapsed);
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| 162 | }, i);
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| 163 | }
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| 164 | TestContext.WriteLine("starting tasks...");
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| 165 | for (int i = 0; i < n; i++) {
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| 166 | tasks[i].Start();
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| 167 | }
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| 168 | TestContext.WriteLine("waiting for tasks to finish...");
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| 169 | Task.WaitAll(tasks);
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| 170 | }
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[6201] | 171 | }
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| 172 | }
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