C++ Analysis::dataPointsToQueue方法代码示例

TEST_F(AnalysisDriverFixture,RuntimeBehavior_StopAndRestartDakotaAnalysis) {

  // RETRIEVE PROBLEM
  Problem problem = retrieveProblem("SimpleHistogramBinUQ",true,false);

  // DEFINE SEED
  Model model = model::exampleModel();
  openstudio::path p = toPath("./example.osm");
  model.save(p,true);
  FileReference seedModel(p);

  // CREATE ANALYSIS
  SamplingAlgorithmOptions algOptions;
  algOptions.setSamples(10);
  Analysis analysis("Stop and Restart Dakota Analysis",
                    problem,
                    SamplingAlgorithm(algOptions),
                    seedModel);

  // RUN ANALYSIS
  if (!dakotaExePath().empty()) {
    ProjectDatabase database = getCleanDatabase("StopAndRestartDakotaAnalysis");
    AnalysisDriver analysisDriver(database);
    AnalysisRunOptions runOptions = standardRunOptions(analysisDriver.database().path().parent_path());
    StopWatcher watcher(analysisDriver);
    watcher.watch(analysis.uuid());
    CurrentAnalysis currentAnalysis = analysisDriver.run(analysis,runOptions);
    analysisDriver.waitForFinished();
    EXPECT_FALSE(analysisDriver.isRunning());

    // check conditions afterward
    boost::optional<runmanager::JobErrors> jobErrors = currentAnalysis.dakotaJobErrors();
    ASSERT_TRUE(jobErrors);
    EXPECT_FALSE(jobErrors->errors().empty());
    EXPECT_FALSE(currentAnalysis.analysis().dataPoints().empty());
    EXPECT_FALSE(currentAnalysis.analysis().dataPointsToQueue().empty());
    EXPECT_FALSE(currentAnalysis.analysis().completeDataPoints().empty());
    EXPECT_FALSE(currentAnalysis.analysis().successfulDataPoints().empty());
    EXPECT_TRUE(currentAnalysis.analysis().failedDataPoints().empty());
    EXPECT_FALSE(currentAnalysis.analysis().algorithm()->isComplete());
    EXPECT_FALSE(currentAnalysis.analysis().algorithm()->failed());
    EXPECT_EQ(0u,analysisDriver.currentAnalyses().size());
    LOG(Debug,"After initial stop, there are " << currentAnalysis.analysis().dataPoints().size()
        << " data points, of which " << currentAnalysis.analysis().completeDataPoints().size()
        << " are complete.");

    // try to restart from database contents
    Analysis analysis = AnalysisRecord::getAnalysisRecords(database)[0].analysis();
    ASSERT_TRUE(analysis.algorithm());
    EXPECT_FALSE(analysis.algorithm()->isComplete());
    EXPECT_FALSE(analysis.algorithm()->failed());
    currentAnalysis = analysisDriver.run(analysis,runOptions);
    analysisDriver.waitForFinished();
    EXPECT_EQ(10u,analysis.dataPoints().size());
    EXPECT_EQ(0u,analysis.dataPointsToQueue().size());
    EXPECT_EQ(10u,analysis.completeDataPoints().size());
    EXPECT_EQ(10u,analysis.successfulDataPoints().size());
    EXPECT_EQ(0u,analysis.failedDataPoints().size());
  }
}

TEST_F(AnalysisFixture, DataPoint_Selected) {
  // Create analysis
  Analysis analysis = analysis1(PreRun);

  // See how many to queue
  unsigned totalToRun = analysis.dataPointsToQueue().size();
  ASSERT_LT(0u,totalToRun);

  // Turn one off
  ASSERT_FALSE(analysis.dataPoints().empty());
  EXPECT_EQ(totalToRun,analysis.dataPoints().size());
  DataPoint dataPoint = analysis.dataPoints()[0];
  dataPoint.setSelected(false);
  EXPECT_FALSE(dataPoint.selected());

  // Make sure shows up in "ToQueue"
  EXPECT_EQ(totalToRun - 1u,analysis.dataPointsToQueue().size());
}

TEST_F(AnalysisDriverFixture, DDACE_LatinHypercube_Continuous) {
  {
    // GET SIMPLE PROJECT
    SimpleProject project = getCleanSimpleProject("DDACE_LatinHypercube_Continuous");
    Analysis analysis = project.analysis();

    // SET PROBLEM
    Problem problem = retrieveProblem("Continuous",true,false);
    analysis.setProblem(problem);

    // DEFINE SEED
    Model model = model::exampleModel();
    openstudio::path p = toPath("./example.osm");
    model.save(p,true);
    FileReference seedModel(p);
    analysis.setSeed(seedModel);

    // CREATE ANALYSIS
    DDACEAlgorithmOptions algOptions(DDACEAlgorithmType::lhs);
    DDACEAlgorithm algorithm(algOptions);
    analysis.setAlgorithm(algorithm);

    // RUN ANALYSIS
    AnalysisDriver driver = project.analysisDriver();
    AnalysisRunOptions runOptions = standardRunOptions(project.projectDir());
    CurrentAnalysis currentAnalysis = driver.run(analysis,runOptions);
    EXPECT_TRUE(driver.waitForFinished());
    boost::optional<runmanager::JobErrors> jobErrors = currentAnalysis.dakotaJobErrors();
    ASSERT_TRUE(jobErrors);
    EXPECT_FALSE(jobErrors->errors().empty()); // require specification of number of samples
    EXPECT_TRUE(driver.currentAnalyses().empty());
    Table summary = currentAnalysis.analysis().summaryTable();
    EXPECT_EQ(1u,summary.nRows()); // no points

    project.clearAllResults();
    algOptions.setSamples(4);
    EXPECT_EQ(4,analysis.algorithm()->cast<DDACEAlgorithm>().ddaceAlgorithmOptions().samples());
    currentAnalysis = driver.run(analysis,runOptions);
    EXPECT_TRUE(driver.waitForFinished());
    jobErrors = currentAnalysis.dakotaJobErrors();
    ASSERT_TRUE(jobErrors);
    EXPECT_TRUE(jobErrors->errors().empty());
    EXPECT_TRUE(driver.currentAnalyses().empty());
    summary = currentAnalysis.analysis().summaryTable();
    EXPECT_EQ(5u,summary.nRows());
    summary.save(project.projectDir() / toPath("summary.csv"));

    BOOST_FOREACH(const DataPoint& dataPoint,analysis.dataPoints()) {
      EXPECT_TRUE(dataPoint.isComplete());
      EXPECT_FALSE(dataPoint.failed());
      // EXPECT_FALSE(dataPoint.responseValues().empty());
    }

    ASSERT_TRUE(analysis.algorithm());
    EXPECT_TRUE(analysis.algorithm()->isComplete());
    EXPECT_FALSE(analysis.algorithm()->failed());

    {
      AnalysisRecord analysisRecord = project.analysisRecord();
      Analysis analysisCopy = analysisRecord.analysis();
      ASSERT_TRUE(analysisCopy.algorithm());
      EXPECT_TRUE(analysisCopy.algorithm()->isComplete());
      EXPECT_FALSE(analysisCopy.algorithm()->failed());
    }
  }

  LOG(Info,"Restart from existing project.");

  // Get existing project
  SimpleProject project = getSimpleProject("DDACE_LatinHypercube_Continuous");
  EXPECT_FALSE(project.analysisIsLoaded()); // make sure starting fresh
  Analysis analysis = project.analysis();
  EXPECT_FALSE(analysis.isDirty());

  // Add custom data point
  std::vector<QVariant> values;
  values.push_back(0.0);
  values.push_back(0.8);
  values.push_back(int(0));
  OptionalDataPoint dataPoint = analysis.problem().createDataPoint(values);
  ASSERT_TRUE(dataPoint);
  analysis.addDataPoint(*dataPoint);
  EXPECT_EQ(1u,analysis.dataPointsToQueue().size());
  ASSERT_TRUE(analysis.algorithm());
  EXPECT_TRUE(analysis.algorithm()->isComplete());
  EXPECT_FALSE(analysis.algorithm()->failed());
  EXPECT_TRUE(analysis.isDirty());
  EXPECT_FALSE(analysis.resultsAreInvalid());
  EXPECT_FALSE(analysis.dataPointsAreInvalid());

  // get last modified time of a file in a completed data point to make sure nothing is re-run
  DataPointVector completePoints = analysis.completeDataPoints();
  ASSERT_FALSE(completePoints.empty());
  OptionalFileReference inputFileRef = completePoints[0].osmInputData();
  ASSERT_TRUE(inputFileRef);
  QFileInfo inputFileInfo(toQString(inputFileRef->path()));
  QDateTime inputFileModifiedTestTime = inputFileInfo.lastModified();
  EXPECT_EQ(1u,analysis.dataPointsToQueue().size());

  AnalysisDriver driver = project.analysisDriver();
//.........这里部分代码省略.........