示例#1
0
static void copyTemplateFile(const QString &fileName, const QString &targetDirectory,
        const Profile &profile, const QtEnvironment &qtEnv, QStringList *allFiles,
        const QtModuleInfo *module = 0)
{
    if (!QDir::root().mkpath(targetDirectory)) {
        throw ErrorInfo(Internal::Tr::tr("Setting up Qt profile '%1' failed: "
                                         "Cannot create directory '%2'.")
                        .arg(profile.name(), targetDirectory));
    }
    QFile sourceFile(QLatin1String(":/templates/") + fileName);
    if (!sourceFile.open(QIODevice::ReadOnly)) {
        throw ErrorInfo(Internal::Tr::tr("Setting up Qt profile '%1' failed: "
                "Cannot open '%1' (%2).").arg(sourceFile.fileName(), sourceFile.errorString()));
    }
    QByteArray newContent = sourceFile.readAll();
    if (module)
        replaceSpecialValues(&newContent, profile, *module, qtEnv);
    sourceFile.close();
    const QString targetPath = targetDirectory + QLatin1Char('/') + fileName;
    allFiles->append(QFileInfo(targetPath).absoluteFilePath());
    QFile targetFile(targetPath);
    if (targetFile.open(QIODevice::ReadOnly)) {
        if (newContent == targetFile.readAll()) // No need to overwrite anything in this case.
            return;
        targetFile.close();
    }
    if (!targetFile.open(QIODevice::WriteOnly)) {
        throw ErrorInfo(Internal::Tr::tr("Setting up Qt profile '%1' failed: "
                "Cannot open '%1' (%2).").arg(targetFile.fileName(), targetFile.errorString()));
    }
    targetFile.resize(0);
    targetFile.write(newContent);
}
示例#2
0
/**
 * This function handles the logic for summing RebinnedOutput workspaces.
 * @param outputWorkspace the workspace to hold the summed input
 * @param progress the progress indicator
 * @param numSpectra
 * @param numMasked
 * @param numZeros
 */
void SumSpectra::doRebinnedOutput(MatrixWorkspace_sptr outputWorkspace,
                                  Progress &progress, size_t &numSpectra,
                                  size_t &numMasked, size_t &numZeros) {
  // Get a copy of the input workspace
  MatrixWorkspace_sptr in_ws = getProperty("InputWorkspace");

  // First, we need to clean the input workspace for nan's and inf's in order
  // to treat the data correctly later. This will create a new private
  // workspace that will be retrieved as mutable.
  auto localworkspace = replaceSpecialValues(in_ws);

  // Transform to real workspace types
  RebinnedOutput_sptr inWS =
      boost::dynamic_pointer_cast<RebinnedOutput>(localworkspace);
  RebinnedOutput_sptr outWS =
      boost::dynamic_pointer_cast<RebinnedOutput>(outputWorkspace);

  // Get references to the output workspaces's data vectors
  auto &outSpec = outputWorkspace->getSpectrum(0);
  auto &YSum = outSpec.mutableY();
  auto &YError = outSpec.mutableE();
  auto &FracSum = outWS->dataF(0);
  std::vector<double> Weight;
  std::vector<size_t> nZeros;
  if (m_calculateWeightedSum) {
    Weight.assign(YSum.size(), 0);
    nZeros.assign(YSum.size(), 0);
  }
  numSpectra = 0;
  numMasked = 0;
  numZeros = 0;

  const auto &spectrumInfo = localworkspace->spectrumInfo();
  // Loop over spectra
  for (const auto i : m_indices) {
    // Don't go outside the range.
    if ((i >= m_numberOfSpectra) || (i < 0)) {
      g_log.error() << "Invalid index " << i
                    << " was specified. Sum was aborted.\n";
      break;
    }

    if (spectrumInfo.hasDetectors(i)) {
      // Skip monitors, if the property is set to do so
      if (!m_keepMonitors && spectrumInfo.isMonitor(i))
        continue;
      // Skip masked detectors
      if (spectrumInfo.isMasked(i)) {
        numMasked++;
        continue;
      }
    }
    numSpectra++;

    // Retrieve the spectrum into a vector
    const auto &YValues = localworkspace->y(i);
    const auto &YErrors = localworkspace->e(i);
    const auto &FracArea = inWS->readF(i);

    if (m_calculateWeightedSum) {
      for (int k = 0; k < this->m_yLength; ++k) {
        if (YErrors[k] != 0) {
          double errsq = YErrors[k] * YErrors[k] * FracArea[k] * FracArea[k];
          YError[k] += errsq;
          Weight[k] += 1. / errsq;
          YSum[k] += YValues[k] * FracArea[k] / errsq;
          FracSum[k] += FracArea[k];
        } else {
          nZeros[k]++;
          FracSum[k] += FracArea[k];
        }
      }
    } else {
      for (int k = 0; k < this->m_yLength; ++k) {
        YSum[k] += YValues[k] * FracArea[k];
        YError[k] += YErrors[k] * YErrors[k] * FracArea[k] * FracArea[k];
        FracSum[k] += FracArea[k];
      }
    }

    // Map all the detectors onto the spectrum of the output
    outSpec.addDetectorIDs(localworkspace->getSpectrum(i).getDetectorIDs());

    progress.report();
  }

  if (m_calculateWeightedSum) {
    numZeros = 0;
    for (size_t i = 0; i < Weight.size(); i++) {
      if (numSpectra > nZeros[i])
        YSum[i] *= double(numSpectra - nZeros[i]) / Weight[i];
      if (nZeros[i] != 0)
        numZeros += nZeros[i];
    }
  }

  // Create the correct representation
  outWS->finalize();
}
示例#3
0
/**
 * This function deals with the logic necessary for summing a Workspace2D.
 * @param outSpec The spectrum for the summed output.
 * @param progress The progress indicator.
 * @param numSpectra The number of spectra contributed to the sum.
 * @param numMasked The spectra dropped from the summations because they are
 * masked.
 * @param numZeros The number of zero bins in histogram workspace or empty
 * spectra for event workspace.
 */
void SumSpectra::doWorkspace2D(ISpectrum &outSpec, Progress &progress,
                               size_t &numSpectra, size_t &numMasked,
                               size_t &numZeros) {
  // Get references to the output workspaces's data vectors
  auto &OutputYSum = outSpec.mutableY();
  auto &OutputYError = outSpec.mutableE();

  std::vector<double> Weight;
  std::vector<size_t> nZeros;
  if (m_calculateWeightedSum) {
    Weight.assign(OutputYSum.size(), 0);
    nZeros.assign(OutputYSum.size(), 0);
  }
  numSpectra = 0;
  numMasked = 0;
  numZeros = 0;

  MatrixWorkspace_sptr in_ws = getProperty("InputWorkspace");
  // Clean workspace of any NANs or Inf values
  auto localworkspace = replaceSpecialValues(in_ws);
  const auto &spectrumInfo = localworkspace->spectrumInfo();
  // Loop over spectra
  for (const auto wsIndex : this->m_indices) {
    // Don't go outside the range.
    if ((wsIndex >= this->m_numberOfSpectra) || (wsIndex < 0)) {
      g_log.error() << "Invalid index " << wsIndex
                    << " was specified. Sum was aborted.\n";
      break;
    }

    if (spectrumInfo.hasDetectors(wsIndex)) {
      // Skip monitors, if the property is set to do so
      if (!m_keepMonitors && spectrumInfo.isMonitor(wsIndex))
        continue;
      // Skip masked detectors
      if (spectrumInfo.isMasked(wsIndex)) {
        numMasked++;
        continue;
      }
    }
    numSpectra++;

    const auto &YValues = localworkspace->y(wsIndex);
    const auto &YErrors = localworkspace->e(wsIndex);

    // Retrieve the spectrum into a vector

    for (int i = 0; i < m_yLength; ++i) {
      if (m_calculateWeightedSum) {
        if (std::isnormal(YErrors[i])) {
          const double errsq = YErrors[i] * YErrors[i];
          OutputYError[i] += errsq;
          Weight[i] += 1. / errsq;
          OutputYSum[i] += YValues[i] / errsq;
        } else {
          nZeros[i]++;
        }

      } else {
        OutputYSum[i] += YValues[i];
        OutputYError[i] += YErrors[i] * YErrors[i];
      }
    }

    // Map all the detectors onto the spectrum of the output
    outSpec.addDetectorIDs(
        localworkspace->getSpectrum(wsIndex).getDetectorIDs());

    progress.report();
  }

  if (m_calculateWeightedSum) {
    numZeros = 0;
    for (size_t i = 0; i < Weight.size(); i++) {
      if (numSpectra > nZeros[i])
        OutputYSum[i] *= double(numSpectra - nZeros[i]) / Weight[i];
      if (nZeros[i] != 0)
        numZeros += nZeros[i];
    }
  }
}