[5404] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 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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[5599] | 22 | using System.Threading;
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[5404] | 23 | using HeuristicLab.Algorithms.GeneticAlgorithm;
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[5599] | 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Optimization;
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[5404] | 26 | using HeuristicLab.Problems.TestFunctions;
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[5599] | 27 | using HeuristicLab.Services.Hive;
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| 28 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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[5404] | 29 |
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| 30 | namespace HeuristicLab.Clients.Hive.Tests {
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| 31 | [TestClass]
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| 32 | public class ExperimentManagerTests {
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| 33 |
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| 34 |
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| 35 | [ClassInitialize]
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| 36 | public static void MyClassInitialize(TestContext testContext) {
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| 37 | //PluginLoader.pluginAssemblies.Any();
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[5599] | 38 | //ServiceLocator.Instance = new MockServiceLocator();
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[5404] | 39 | }
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[5599] | 40 |
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[5404] | 41 | [TestMethod]
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| 42 | public void TestExperimentUpload() {
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| 43 | HiveExperimentClient hec = new HiveExperimentClient();
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| 44 | var optimizer = CreateOptimizer();
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| 45 | hec.HiveJob = new HiveJob(optimizer);
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| 46 |
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| 47 | hec.Start();
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| 48 |
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| 49 | while (hec.ExecutionState != ExecutionState.Stopped) {
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| 50 | Thread.Sleep(500);
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| 51 | }
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| 52 |
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| 53 | }
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| 54 |
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| 55 | private IOptimizer CreateOptimizer() {
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| 56 | var ga = new GeneticAlgorithm();
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| 57 | ga.Engine = new SequentialEngine.SequentialEngine();
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| 58 | ga.Problem = new SingleObjectiveTestFunctionProblem();
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| 59 | return ga;
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| 60 | }
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| 61 |
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| 62 | }
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| 63 | }
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