int main(int argc, char *argv[])
{
QCoreApplication app(argc, argv);
Worker worker;
worker.setAutoDelete(false);
QThreadPool *threadPool = QThreadPool::globalInstance();
threadPool->start(&worker);
qDebug() << "Hello from GUI thread. ID is " << (int)QThread::currentThreadId();
threadPool->waitForDone();
return 0;
}
void tst_QThreadPool::waitForDoneTimeout()
{
class BlockedTask : public QRunnable
{
public:
QMutex mutex;
BlockedTask() { setAutoDelete(false); }
void run()
{
mutex.lock();
mutex.unlock();
QTest::qSleep(50);
}
};
QThreadPool threadPool;
BlockedTask *task = new BlockedTask;
task->mutex.lock();
threadPool.start(task);
QVERIFY(!threadPool.waitForDone(100));
task->mutex.unlock();
QVERIFY(threadPool.waitForDone(400));
}
void tst_QThreadPool::waitForDone()
{
QTime total, pass;
total.start();
QThreadPool threadPool;
while (total.elapsed() < 10000) {
int runs;
count.store(runs = 0);
pass.restart();
while (pass.elapsed() < 100) {
threadPool.start(new CountingRunnable());
++runs;
}
threadPool.waitForDone();
QCOMPARE(count.load(), runs);
count.store(runs = 0);
pass.restart();
while (pass.elapsed() < 100) {
threadPool.start(new CountingRunnable());
threadPool.start(new CountingRunnable());
runs += 2;
}
threadPool.waitForDone();
QCOMPARE(count.load(), runs);
}
}
void GDALGeometricAttributes::run()
{
//return;
if (useSQL) {
//run_sql();
run_sql_threaded();
return;
}
OGRFeature * f;
vc.resetReading();
QThreadPool pool;
std::vector<OGRFeature*> container;
int counter = 0;
while( f = vc.getNextFeature() ) {
container.push_back(f);
if (counter%10000 == 0){
GeometricAttributeWorker * gw = new GeometricAttributeWorker(this, container, isCalculateArea, isAspectRationBB , isPercentageFilled);
pool.start(gw);
container = std::vector<OGRFeature*>();
}
}
pool.waitForDone();
}
float ClusteringCoefficient::Compute() {
QList<FeaturesComplexNetwork::Node> ids;
ids.reserve(cn.getNumNodes());
for(FeaturesComplexNetwork::NodeIt it(cn); it != INVALID; ++it){
ids.append( it );
}
std::random_shuffle(ids.begin(), ids.end());
QList<QList<FeaturesComplexNetwork::Node>> lists;
lists.append(QList<FeaturesComplexNetwork::Node>());
int j=0;
for(int i=0;i< ids.size()*ratio; i++){
lists.last().append(ids[i]);
j++;
if( j > 50 ){
j=0;
lists.append(QList<FeaturesComplexNetwork::Node>());
}
}
FeaturesComplexNetwork::ArcMap<double> weights(cn);
GraphUtilities::getWeights(cn, weights);
GraphUtilities::normalizeWeights(cn,weights,weights);
QThreadPool pool;
pool.setMaxThreadCount(this->threads);
for(auto &list : lists) {
pool.start(new ClusteringCoefficientTask(this, cn, weights, list));
}
pool.waitForDone();
return std::accumulate(ccs.begin(),ccs.end(),0.f, [](const float &a, const ClusteringCoefficient::NodeCC &b){return a+b.cc;})/ccs.size();
}
void tst_QThreadPool::tryStart()
{
class WaitingTask : public QRunnable
{
public:
QSemaphore semaphore;
WaitingTask() { setAutoDelete(false); }
void run()
{
semaphore.acquire();
count.ref();
}
};
count.store(0);
WaitingTask task;
QThreadPool threadPool;
for (int i = 0; i < threadPool.maxThreadCount(); ++i) {
threadPool.start(&task);
}
QVERIFY(!threadPool.tryStart(&task));
task.semaphore.release(threadPool.maxThreadCount());
threadPool.waitForDone();
QCOMPARE(count.load(), threadPool.maxThreadCount());
}
QLandmarkManagerEngineSqlite::~QLandmarkManagerEngineSqlite()
{
QThreadPool *threadPool = QThreadPool::globalInstance();
threadPool->waitForDone();
if (m_dbWatcher !=0)
delete m_dbWatcher;
QSqlDatabase::database(m_dbConnectionName).close();
QSqlDatabase::removeDatabase(m_dbConnectionName);
}
//! Helper function that initiates the image processing algorithms.
void MRIOpenCV::RunProcess()
{
QThreadPool *threadPool = QThreadPool::globalInstance();
for(int i=0; i < this->Processes->size(); i++){
cout << this->Processes->size();
MRIProcess * process= this->Processes->front();
this->Processes->pop();
process->run();
//threadPool->start(process);
}
threadPool->waitForDone();
}
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
ui->setupUi(this);
Work work;
work.setAutoDelete(false);
QThreadPool *threadPool = QThreadPool::globalInstance();
threadPool->start(&work);
qDebug() << "hello from GUI thread " << QThread::currentThread();
threadPool->waitForDone();
}
void KisMemoryPoolTest::benchmarkAlloc()
{
QThreadPool pool;
pool.setMaxThreadCount(NUM_THREADS);
QBENCHMARK {
for(qint32 i = 0; i < NUM_THREADS; i++) {
KisAllocStressJob *job = new KisAllocStressJob();
pool.start(job);
}
pool.waitForDone();
}
}
void FavIconTest::concurrentRequestsShouldWork()
{
const int numThreads = 3;
QThreadPool tp;
tp.setMaxThreadCount(numThreads);
QVector<QFuture<QString>> futures(numThreads);
for (int i = 0; i < numThreads; ++i) {
futures[i] = QtConcurrent::run(&tp, getAltIconUrl);
}
QVERIFY(tp.waitForDone(60000));
const QString firstResult = futures.at(0).result();
for (int i = 1; i < numThreads; ++i) {
QCOMPARE(futures.at(i).result(), firstResult);
}
QVERIFY(!QPixmap(firstResult).isNull());
}
void GDALParcelSplit::run()
{
cityblocks.resetReading();
OGRFeature *poFeature;
this->counter_added = 0;
QThreadPool pool;
while( (poFeature = cityblocks.getNextFeature()) != NULL ) {
char* geo;
poFeature->GetGeometryRef()->exportToWkt(&geo); //Geo destroyed by worker
ParcelSplitWorker * ps = new ParcelSplitWorker(poFeature->GetFID(), this, this->width, this->target_length, this->splitFirst, geo);
pool.start(ps);
}
pool.waitForDone();
this->generated = counter_added;
}
void ConvolutionFilter::process(const QList<float> &matrix, int radius) {
QThreadPool threadPool;
threadPool.setMaxThreadCount(16);
int height = image.height();
for (int y = 0; y < height; y++) {
ConvolutionFilterRunner *runner = new ConvolutionFilterRunner(&image);
runner->setMatrix(matrix, radius);
runner->setScanLine((QRgb *) processed.scanLine(y), y);
runner->setAutoDelete(true);
threadPool.start(runner);
}
printf("waiting for convolution filter...");
threadPool.waitForDone();
}
void tst_QPointer::threadSafety()
{
QThread owner;
owner.start();
QThreadPool pool;
for (int i = 0; i < 300; i++) {
QPointer<TestRunnable> task = new TestRunnable;
task->setAutoDelete(true);
task->moveToThread(&owner);
pool.start(task);
}
pool.waitForDone();
owner.quit();
owner.wait();
}
int main(int argc, char *argv[]) {
QCoreApplication a(argc, argv);
PayLoad *payLoad = new PayLoad(QCoreApplication::arguments());
QThreadPool *qThreadPool = QThreadPool::globalInstance();
qThreadPool->setMaxThreadCount(payLoad->getThreads());
if(payLoad->verify()) {
for(int i = 0; i < payLoad->getThreads(); i++){
qThreadPool->start(new RequestThread(i, payLoad));
}
qDebug() << "All threads started ..";
} else {
qDebug() <<"Parameters missing";
}
qThreadPool->waitForDone();
qDebug() << "Done";
return a.exec();
}
void KisLowMemoryTests::readWriteOnSharedTiles()
{
quint8 defaultPixel = 0;
KisTiledDataManager srcDM(1, &defaultPixel);
KisTiledDataManager dstDM(1, &defaultPixel);
const int NUM_TILES = 10;
const int NUM_CYCLES = 10000;
QThreadPool pool;
pool.setMaxThreadCount(10);
pool.start(new DeadlockyThread(DeadlockyThread::PRODUCER,
srcDM, dstDM, NUM_TILES, NUM_CYCLES));
for (int i = 0; i < 4; i++) {
pool.start(new DeadlockyThread(DeadlockyThread::CONSUMER_SRC,
srcDM, dstDM, NUM_TILES, NUM_CYCLES));
pool.start(new DeadlockyThread(DeadlockyThread::CONSUMER_DST,
srcDM, dstDM, NUM_TILES, NUM_CYCLES));
}
pool.waitForDone();
}
void FileAnalyzer::run()
{
m_abortFlag = false;
m_bAborted = false;
m_bSuccess = false;
int nFiles = m_inputFiles.count();
emit progressMaxChanged(nFiles);
emit progressValChanged(0);
lamexp_natural_string_sort(m_inputFiles, true); //.sort();
if(!m_templateFile)
{
if(!createTemplate())
{
qWarning("Failed to create template file!");
return;
}
}
AnalyzeTask::reset();
QThreadPool *pool = new QThreadPool();
QThread::msleep(333);
pool->setMaxThreadCount(qBound(2, ((QThread::idealThreadCount() * 3) / 2), 12));
while(!(m_inputFiles.isEmpty() || m_bAborted))
{
while(!(m_inputFiles.isEmpty() || m_bAborted))
{
if(!AnalyzeTask::waitForFreeSlot(&m_abortFlag))
{
qWarning("Timeout in AnalyzeTask::waitForFreeSlot() !!!");
}
if(m_abortFlag)
{
MessageBeep(MB_ICONERROR);
m_bAborted = true;
break;
}
if(!m_bAborted)
{
const QString currentFile = QDir::fromNativeSeparators(m_inputFiles.takeFirst());
AnalyzeTask *task = new AnalyzeTask(currentFile, m_templateFile->filePath(), &m_abortFlag);
connect(task, SIGNAL(fileSelected(QString)), this, SIGNAL(fileSelected(QString)), Qt::DirectConnection);
connect(task, SIGNAL(progressValChanged(unsigned int)), this, SIGNAL(progressValChanged(unsigned int)), Qt::DirectConnection);
connect(task, SIGNAL(progressMaxChanged(unsigned int)), this, SIGNAL(progressMaxChanged(unsigned int)), Qt::DirectConnection);
connect(task, SIGNAL(fileAnalyzed(AudioFileModel)), this, SIGNAL(fileAnalyzed(AudioFileModel)), Qt::DirectConnection);
pool->start(task);
if(int count = AnalyzeTask::getAdditionalFiles(m_inputFiles))
{
emit progressMaxChanged(nFiles += count);
}
}
}
//One of the Analyze tasks may have gathered additional files from a playlist!
if(!m_bAborted)
{
pool->waitForDone();
if(int count = AnalyzeTask::getAdditionalFiles(m_inputFiles))
{
emit progressMaxChanged(nFiles += count);
}
}
}
pool->waitForDone();
LAMEXP_DELETE(pool);
if(m_bAborted)
{
qWarning("Operation cancelled by user!");
return;
}
qDebug("All files added.\n");
m_bSuccess = true;
}
void Finish()
{
#if PARALLEL_POLYGONIZER
m_ThreadPool.waitForDone();
#endif
}
void PulsarProcess::run() {
if (!data.isValid()) {
qDebug() << "No valid data available";
return;
}
QVector<PulsarWorker*> workers;
QThreadPool *pool = CalculationPool::pool();
qDebug() << "splitting to" << pool->maxThreadCount() << "processes";
if (!Settings::settings()->preciseSearch()) {
for (int D = 0; D < 200; D += 6)
for (int i = 0; i < data.modules; i++)
for (int j = 0; j < data.rays; j++) {
workers.push_back(new PulsarWorker(i, j, D, data));
workers[workers.size() - 1]->setAutoDelete(false);
pool->start(workers[workers.size() - 1]);
}
} else if (Settings::settings()->periodTester()) {
workers.push_back(new PulsarWorker(Settings::settings()->module(), Settings::settings()->ray(), Settings::settings()->dispersion(), data));
workers[0]->setAutoDelete(false);
pool->start(workers[0]);
} else {
int mx = 200;
if (Settings::settings()->dispersion() > -0.5)
mx = Settings::settings()->dispersion() + 6;
int step = 1;
if (data.oneStep > 0.05)
step = 3;
for (double D = max(Settings::settings()->dispersion() - 6, 0.0); D < mx; D += step) {
workers.push_back(new PulsarWorker(Settings::settings()->module(), Settings::settings()->ray(), D, data));
workers[workers.size() - 1]->setAutoDelete(false);
pool->start(workers[workers.size() - 1]);
}
}
while (!pool->waitForDone(30000)) {
bool finished = true;
for (int i = 0; i < workers.size(); i++)
finished &= workers[i]->finished;
if (finished)
break;
}
QVector<Pulsar> pulsars;
for (int i = 0; i < workers.size(); i++) {
for (int j = 0; j < workers[i]->res.size(); j++)
pulsars.push_back(workers[i]->res[j]);
// workers[i]->deleteLater();
}
qDebug() << "workers deleted";
for (int i = 0; i < pulsars.size(); i++)
for (int j = i + 1; j < pulsars.size(); j++)
if ((pulsars[i].filtered && !pulsars[j].filtered) || ((pulsars[i].filtered == pulsars[j].filtered)
&& (pulsars[i].firstPoint > pulsars[j].firstPoint))) {
Pulsar p = pulsars[i];
pulsars[i] = pulsars[j];
pulsars[j] = p;
}
QByteArray header = QString("file: %1\ntresolution %2\nStart time\tmodule\tray\tdispersion\tperiod\tsnr\tfirst_point\n").arg(data.name).arg(data.oneStep).toUtf8();
QFile *files[CATEGORIES];
bool filtered[CATEGORIES];
for (int i = 0; i < CATEGORIES; i++)
filtered[i] = false;
QDir().mkdir(savePath);
for (int i = 0; i < CATEGORIES; i++) {
files[i] = new QFile(savePath + QString("%1-%2-%3.pulsar").arg(data.name).arg(CATEGORIES_SIZES[i]).arg(CATEGORIES_SIZES[i + 1]));
files[i]->open(QIODevice::WriteOnly);
files[i]->write(header);
}
for (int i = 0; i < pulsars.size(); i++)
for (int j = CATEGORIES - 1; j >= 0; j--)
if (CATEGORIES_SIZES[j] < pulsars[i].snr || j == 0) {
if (!filtered[j] && pulsars[i].filtered) {
filtered[j] = true;
files[j]->write(QByteArray("filtered next\n"));
}
QByteArray d = QString("%1\t%2\t%3\t%4\t%5\t%6\t%7\n").
arg(pulsars[i].time()).
arg(pulsars[i].module + 1).
arg(pulsars[i].ray + 1).
arg(pulsars[i].dispersion).
arg(QString::number(pulsars[i].period, 'f', 5)).
arg(QString::number(pulsars[i].snr, 'f', 1)).
arg(QString::number(pulsars[i].firstPoint)).
toUtf8();
files[j]->write(d);
break;
}
for (int i = 0; i < CATEGORIES; i++)
files[i]->write("additional data:\n");
for (int i = 0; i < pulsars.size(); i++)
for (int j = CATEGORIES - 1; j >= 0; j--)
if (CATEGORIES_SIZES[j] < pulsars[i].snr || j == 0) {
files[j]->write(pulsars[i].additionalData);
break;
}
for (int i = 0; i < CATEGORIES; i++) {
files[i]->close();
delete files[i];
}
qDebug() << "files deleted";
}
int main(int argc, char **argv) {
MRIOpenCVSettings * config = new MRIOpenCVSettings();
config->LoadSettings(
"/home/michaelroberts/Build/MriSegment/src/Conf/MRIOpenCV/Default.conf");
MRIOpenCV * OpencvProcessor = new MRIOpenCV();
QApplication app(argc, argv);
QStringList nameFilter("*.dcm");
QDir directory(
QString::fromAscii(config->GetSettings("Imagesets","tdcubefat","")));
QStringList files = directory.entryList(nameFilter);
for (int i = 0; i < files.count(); i++)
files[i] =
QString(
QString::fromAscii(config->GetSettings("Imagesets","tdcubefat","")))
+ files[i];
QDir dir(
QString::fromAscii(config->GetSettings("Imagesets","tdcubewater","")));
QStringList filesfat = dir.entryList(nameFilter);
for (int i = 0; i < filesfat.count(); i++)
filesfat[i] =
QString(
QString::fromAscii(config->GetSettings("Imagesets","tdcubewater","")))
+ filesfat[i];
MRICommon * fat = new MRICommon();
fat->LoadImages(&files);
fat->Data->ToTransversal();
//fat->Data->ToCorronial();
MRICommon * water = new MRICommon();
water->LoadImages(&filesfat);
vector<MRICommon *> Imagesets(2);
Imagesets.at(FATCUBE) = fat;
Imagesets.at(WATERCUBE) = water;
vector<LabeledResults *> results(400);
results.at(FEMER_SAG) = new LabeledResults();
///blur( img, img, Size(3,3) );
QThreadPool *threadPool = QThreadPool::globalInstance();
for (int i = 0; i < fat->Data->Sagittal->size(); i++) {
cout << "processing image: " << i << "\n";
FindBoneFemer * process = new FindBoneFemer(&Imagesets, &results, i,
config);
process->Setup();
process->Preprocess();
process->Segment();
process->PostSegmentProcess();
process->PostProcess();
}
threadPool->waitForDone();
pcl::PointCloud<pcl::PointXYZ>::Ptr cloudin(results.at(FEMER_SAG)->cloud);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(
new pcl::PointCloud<pcl::PointXYZ>);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_filtered(
new pcl::PointCloud<pcl::PointXYZ>);
// Create the filtering object
pcl::VoxelGrid < pcl::PointXYZ > sor;
sor.setInputCloud(cloudin);
sor.setLeafSize(3, 3, 3);
sor.filter(*cloud_filtered);
std::cerr << "PointCloud after filtering: "
<< cloud_filtered->width * cloud_filtered->height
<< " data points (" << pcl::getFieldsList(*cloud_filtered) << ").";
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_xyzrgb(
new pcl::PointCloud<pcl::PointXYZRGB>);
copyPointCloud(*cloud_filtered, *cloud_xyzrgb);
for (size_t i = 0; i < cloud_xyzrgb->points.size(); ++i) {
cloud_xyzrgb->points[i].r = 255;
}
boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(
new pcl::visualization::PCLVisualizer("3D Viewer"));
viewer->setBackgroundColor(0, 0, 0);
pcl::visualization::PointCloudColorHandlerRGBField < pcl::PointXYZRGB
> rgb(cloud_xyzrgb);
viewer->addPointCloud < pcl::PointXYZRGB
> (cloud_xyzrgb, rgb, "sample cloud");
viewer->setPointCloudRenderingProperties(
pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1, "sample cloud");
viewer->addCoordinateSystem(1, 0, 0, 100);
viewer->initCameraParameters();
viewer->spin();
while (!viewer->wasStopped()) {
double x, y, z, r, b, o;
cout << "give x y z \n";
cin >> x;
cin >> y;
cin >> z;
viewer->setCameraPosition(x, y, z, 0, 0, 0, 0);
//updateCamera ();
}
cout << "done" << endl;
return 0;
}