C++ typenameMDEventWorkspace::getDimension方法代码示例

void FakeMDEventData::addFakeUniformData(
    typename MDEventWorkspace<MDE, nd>::sptr ws) {
  std::vector<double> params = getProperty("UniformParams");
  if (params.empty())
    return;

  bool randomEvents = true;
  if (params[0] < 0) {
    randomEvents = false;
    params[0] = -params[0];
  }

  if (params.size() == 1) {
    if (randomEvents) {
      for (size_t d = 0; d < nd; ++d) {
        params.push_back(ws->getDimension(d)->getMinimum());
        params.push_back(ws->getDimension(d)->getMaximum());
      }
    } else // regular events
    {
      size_t nPoints = size_t(params[0]);
      double Vol = 1;
      for (size_t d = 0; d < nd; ++d)
        Vol *= (ws->getDimension(d)->getMaximum() -
                ws->getDimension(d)->getMinimum());

      if (Vol == 0 || Vol > std::numeric_limits<float>::max())
        throw std::invalid_argument(
            " Domain ranges are not defined properly for workspace: " +
            ws->getName());

      double dV = Vol / double(nPoints);
      double delta0 = std::pow(dV, 1. / double(nd));
      for (size_t d = 0; d < nd; ++d) {
        double min = ws->getDimension(d)->getMinimum();
        params.push_back(min * (1 + FLT_EPSILON) - min + FLT_EPSILON);
        double extent = ws->getDimension(d)->getMaximum() - min;
        size_t nStrides = size_t(extent / delta0);
        if (nStrides < 1)
          nStrides = 1;
        params.push_back(extent / static_cast<double>(nStrides));
      }
    }
  }
  if ((params.size() != 1 + nd * 2))
    throw std::invalid_argument(
        "UniformParams: needs to have ndims*2+1 arguments ");

  if (randomEvents)
    addFakeRandomData<MDE, nd>(params, ws);
  else
    addFakeRegularData<MDE, nd>(params, ws);

  ws->splitBox();
  Kernel::ThreadScheduler *ts = new ThreadSchedulerFIFO();
  ThreadPool tp(ts);
  ws->splitAllIfNeeded(ts);
  tp.joinAll();
  ws->refreshCache();
}

  void FindPeaksMD::findPeaks(typename MDEventWorkspace<MDE, nd>::sptr ws)
  {
    if (nd < 3)
      throw std::invalid_argument("Workspace must have at least 3 dimensions.");

    progress(0.01, "Refreshing Centroids");

    // TODO: This might be slow, progress report?
    // Make sure all centroids are fresh
    ws->getBox()->refreshCentroid();

    typedef IMDBox<MDE,nd>* boxPtr;

    if (ws->getNumExperimentInfo() == 0)
      throw std::runtime_error("No instrument was found in the MDEventWorkspace. Cannot find peaks.");

    // TODO: Do we need to pick a different instrument info?
    ExperimentInfo_sptr ei = ws->getExperimentInfo(0);
    // Instrument associated with workspace
    Geometry::Instrument_const_sptr inst = ei->getInstrument();
    // Find the run number
    int runNumber = ei->getRunNumber();

    // Check that the workspace dimensions are in Q-sample-frame or Q-lab-frame.
    eDimensionType dimType;

    std::string dim0 = ws->getDimension(0)->getName();
    if (dim0 == "H")
    {
      dimType = HKL;
      throw std::runtime_error("Cannot find peaks in a workspace that is already in HKL space.");
    }
    else if (dim0 == "Q_lab_x")
    {
      dimType = QLAB;
    }
    else if (dim0 == "Q_sample_x")
      dimType = QSAMPLE;
    else
      throw std::runtime_error("Unexpected dimensions: need either Q_lab_x or Q_sample_x.");

    // Find the goniometer rotation matrix
    Mantid::Kernel::Matrix<double> goniometer(3,3, true); // Default IDENTITY matrix
    try
    {
      goniometer = ei->mutableRun().getGoniometerMatrix();
    }
    catch (std::exception & e)
    {
      g_log.warning() << "Error finding goniometer matrix. It will not be set in the peaks found." << std::endl;
      g_log.warning() << e.what() << std::endl;
    }

    /// Arbitrary scaling factor for density to make more manageable numbers, especially for older file formats.
    signal_t densityScalingFactor = 1e-6;

    // Calculate a threshold below which a box is too diffuse to be considered a peak.
    signal_t thresholdDensity = 0.0;
    thresholdDensity = ws->getBox()->getSignalNormalized() * DensityThresholdFactor * densityScalingFactor;
    g_log.notice() << "Threshold signal density: " << thresholdDensity << std::endl;

    // We will fill this vector with pointers to all the boxes (up to a given depth)
    typename std::vector<boxPtr> boxes;

    // Get all the MDboxes
    progress(0.10, "Getting Boxes");
    ws->getBox()->getBoxes(boxes, 1000, true);



    // TODO: Here keep only the boxes > e.g. 3 * mean.
    typedef std::pair<double, boxPtr> dens_box;

    // Map that will sort the boxes by increasing density. The key = density; value = box *.
    typename std::multimap<double, boxPtr> sortedBoxes;

    progress(0.20, "Sorting Boxes by Density");
    typename std::vector<boxPtr>::iterator it1;
    typename std::vector<boxPtr>::iterator it1_end = boxes.end();
    for (it1 = boxes.begin(); it1 != it1_end; it1++)
    {
      boxPtr box = *it1;
      double density = box->getSignalNormalized() * densityScalingFactor;
      // Skip any boxes with too small a signal density.
      if (density > thresholdDensity)
        sortedBoxes.insert(dens_box(density,box));
    }

    // List of chosen possible peak boxes.
    std::vector<boxPtr> peakBoxes;

    prog = new Progress(this, 0.30, 0.95, MaxPeaks);

    int64_t numBoxesFound = 0;
    // Now we go (backwards) through the map
    // e.g. from highest density down to lowest density.
    typename std::multimap<double, boxPtr>::reverse_iterator it2;
    typename std::multimap<double, boxPtr>::reverse_iterator it2_end = sortedBoxes.rend();
    for (it2 = sortedBoxes.rbegin(); it2 != it2_end; it2++)
    {
//.........这里部分代码省略.........

void FakeMDEventData::addFakeRegularData(
    const std::vector<double> &params,
    typename MDEventWorkspace<MDE, nd>::sptr ws) {
  // the parameters for regular distribution of events over the box
  std::vector<double> startPoint(nd), delta(nd);
  std::vector<size_t> indexMax(nd);
  size_t gridSize(0);

  // bool RandomizeSignal = getProperty("RandomizeSignal");

  size_t num = size_t(params[0]);
  if (num == 0)
    throw std::invalid_argument(
        " number of distributed events can not be equal to 0");

  Progress prog(this, 0.0, 1.0, 100);
  size_t progIncrement = num / 100;
  if (progIncrement == 0)
    progIncrement = 1;

  // Inserter to help choose the correct event type
  auto eventHelper =
      MDEvents::MDEventInserter<typename MDEventWorkspace<MDE, nd>::sptr>(ws);

  gridSize = 1;
  for (size_t d = 0; d < nd; ++d) {
    double min = ws->getDimension(d)->getMinimum();
    double max = ws->getDimension(d)->getMaximum();
    double shift = params[d * 2 + 1];
    double step = params[d * 2 + 2];
    if (shift < 0)
      shift = 0;
    if (shift >= step)
      shift = step * (1 - FLT_EPSILON);

    startPoint[d] = min + shift;
    if ((startPoint[d] < min) || (startPoint[d] >= max))
      throw std::invalid_argument("RegularData: starting point must be within "
                                  "the box for all dimensions.");

    if (step <= 0)
      throw(std::invalid_argument(
          "Step of the regular grid is less or equal to 0"));

    indexMax[d] = size_t((max - min) / step);
    if (indexMax[d] == 0)
      indexMax[d] = 1;
    // deal with round-off errors
    while ((startPoint[d] + double(indexMax[d] - 1) * step) >= max)
      step *= (1 - FLT_EPSILON);

    delta[d] = step;

    gridSize *= indexMax[d];
  }
  // Create all the requested events
  std::vector<size_t> indexes;
  size_t cellCount(0);
  for (size_t i = 0; i < num; ++i) {
    coord_t centers[nd];

    Kernel::Utils::getIndicesFromLinearIndex(cellCount, indexMax, indexes);
    ++cellCount;
    if (cellCount >= gridSize)
      cellCount = 0;

    for (size_t d = 0; d < nd; d++) {
      centers[d] = coord_t(startPoint[d] + delta[d] * double(indexes[d]));
    }

    // Default or randomized error/signal
    float signal = 1.0;
    float errorSquared = 1.0;
    // if (RandomizeSignal)
    //{
    //  signal = float(0.5 + genUnit());
    //  errorSquared = float(0.5 + genUnit());
    //}

    // Create and add the event.
    eventHelper.insertMDEvent(signal, errorSquared, 1, pickDetectorID(),
                              centers); // 1 = run number
    // Progress report
    if ((i % progIncrement) == 0)
      prog.report();
  }
}