C++ IAlgorithm_sptr::execute方法代码示例

void WorkspacePresenter::ungroupWorkspaces() {
  auto view = lockView();
  auto selected = view->getSelectedWorkspaceNames();

  if (selected.size() == 0) {
    view->showCriticalUserMessage("Error Ungrouping Workspaces",
                                  "Select a group workspace to Ungroup.");
    return;
  }

  try {
    // workspace name
    auto wsname = selected[0];

    std::string algName("UnGroupWorkspace");
    Mantid::API::IAlgorithm_sptr alg =
        Mantid::API::AlgorithmManager::Instance().create(algName, -1);
    alg->initialize();
    alg->setProperty("InputWorkspace", wsname);

    // execute the algorithm
    bool bStatus = alg->execute();
    if (!bStatus) {
      view->showCriticalUserMessage("MantidPlot - Algorithm error",
                                    " Error in UnGroupWorkspace algorithm");
    }
  } catch (...) {
    view->showCriticalUserMessage("MantidPlot - Algorithm error",
                                  " Error in UnGroupWorkspace algorithm");
  }
}

/** Run any algorithm with a variable number of parameters
 *
 * @param algorithmName
 * @param count :: number of arguments given.
 * @return the algorithm created
 */
IAlgorithm_sptr FrameworkManagerImpl::exec(const std::string& algorithmName, int count, ...)
{
  // Create the algorithm
  Mantid::API::IAlgorithm_sptr alg;
  alg = Mantid::API::AlgorithmManager::Instance().createUnmanaged(algorithmName, -1);
  alg->initialize();
  if (!alg->isInitialized())
    throw std::runtime_error(algorithmName + " was not initialized.");

  if (count % 2 == 1)
  {
    throw std::runtime_error("Must have an even number of parameter/value string arguments");
  }

  va_list Params;
  va_start(Params, count);
  for(int i = 0; i < count; i += 2 )
  {
    std::string paramName = va_arg(Params, const char *);
    std::string paramValue = va_arg(Params, const char *);
    alg->setPropertyValue(paramName, paramValue);
  }
  va_end(Params);

  alg->execute();
  return alg;
}

/**
 * Get the viewable peaks. Essentially copied from the slice viewer.
 * @returns A vector indicating which of the peaks are viewable.
 */
std::vector<bool> ConcretePeaksPresenterVsi::getViewablePeaks() const {
  // Need to apply a transform.
  // Don't bother to find peaks in the region if there are no peaks to find.
  Mantid::API::ITableWorkspace_sptr outTable;

  if (this->m_peaksWorkspace->getNumberPeaks() >= 1) {
    double effectiveRadius = 1e-2;
    std::string viewable = m_viewableRegion->toExtentsAsString();
    Mantid::API::IPeaksWorkspace_sptr peaksWS = m_peaksWorkspace;

    Mantid::API::IAlgorithm_sptr alg =
        Mantid::API::AlgorithmManager::Instance().create("PeaksInRegion");
    alg->setChild(true);
    alg->setRethrows(true);
    alg->initialize();
    alg->setProperty("InputWorkspace", peaksWS);
    alg->setProperty("OutputWorkspace", peaksWS->name() + "_peaks_in_region");
    alg->setProperty("Extents", viewable);
    alg->setProperty("CheckPeakExtents", true);
    alg->setProperty("PeakRadius", effectiveRadius);
    alg->setPropertyValue("CoordinateFrame", m_frame);
    alg->execute();
    outTable = alg->getProperty("OutputWorkspace");
    std::vector<bool> viewablePeaks(outTable->rowCount());
    for (size_t i = 0; i < outTable->rowCount(); ++i) {
      viewablePeaks[i] = outTable->cell<Mantid::API::Boolean>(i, 1);
    }
    m_viewablePeaks = viewablePeaks;
  } else {
    // No peaks will be viewable
    m_viewablePeaks = std::vector<bool>();
  }

  return m_viewablePeaks;
}

bool ConcretePeaksPresenter::deletePeaksIn(PeakBoundingBox box) {

  Left left(box.left());
  Right right(box.right());
  Bottom bottom(box.bottom());
  Top top(box.top());
  SlicePoint slicePoint(box.slicePoint());
  if (slicePoint() < 0) { // indicates that it should not be used.
    slicePoint = SlicePoint(m_slicePoint.slicePoint());
  }

  PeakBoundingBox accurateBox(
      left, right, top, bottom,
      slicePoint /*Use the current slice position, previously unknown.*/);

  // Tranform box from plot coordinates into orderd HKL, Qx,Qy,Qz etc, then find
  // the visible peaks.
  std::vector<size_t> deletionIndexList = findVisiblePeakIndexes(accurateBox);

  // If we have things to remove, do that in one-step.
  if (!deletionIndexList.empty()) {

    Mantid::API::IPeaksWorkspace_sptr peaksWS =
        boost::const_pointer_cast<Mantid::API::IPeaksWorkspace>(
            this->m_peaksWS);
    // Sort the Peaks in-place.
    Mantid::API::IAlgorithm_sptr alg =
        AlgorithmManager::Instance().create("DeleteTableRows");
    alg->setChild(true);
    alg->setRethrows(true);
    alg->initialize();
    alg->setProperty("TableWorkspace", peaksWS);
    alg->setProperty("Rows", deletionIndexList);
    alg->execute();

    // Reproduce the views. Proxy representations recreated for all peaks.
    this->produceViews();

    // Refind visible peaks and Set the proxy representations to be visible or
    // not.
    doFindPeaksInRegion();

    // Upstream controls need to be regenerated.
    this->informOwnerUpdate();
  }
  return !deletionIndexList.empty();
}

/**
 * Sorts the peak workspace by a specified column name in ascending or
 * descending order.
 * @param byColumnName The column by which the workspace is to be sorted.
 * @param ascending If the workspace is to be sorted in a ascending or
 * descending manner.
 */
void ConcretePeaksPresenterVsi::sortPeaksWorkspace(
    const std::string &byColumnName, const bool ascending) {
  Mantid::API::IPeaksWorkspace_sptr peaksWS =
      boost::const_pointer_cast<Mantid::API::IPeaksWorkspace>(
          this->m_peaksWorkspace);

  // Sort the Peaks in-place.
  Mantid::API::IAlgorithm_sptr alg =
      Mantid::API::AlgorithmManager::Instance().create("SortPeaksWorkspace");
  alg->setChild(true);
  alg->setRethrows(true);
  alg->initialize();
  alg->setProperty("InputWorkspace", peaksWS);
  alg->setPropertyValue("OutputWorkspace", "SortedPeaksWorkspace");
  alg->setProperty("OutputWorkspace", peaksWS);
  alg->setProperty("SortAscending", ascending);
  alg->setPropertyValue("ColumnNameToSortBy", byColumnName);
  alg->execute();
}

std::vector<size_t>
ConcretePeaksPresenter::findVisiblePeakIndexes(const PeakBoundingBox &box) {
  std::vector<size_t> indexes;
  // Don't bother to find peaks in the region if there are no peaks to find.
  if (this->m_peaksWS->getNumberPeaks() >= 1) {

    double radius =
        m_viewPeaks
            ->getRadius(); // Effective radius of each peak representation.

    Mantid::API::IPeaksWorkspace_sptr peaksWS =
        boost::const_pointer_cast<Mantid::API::IPeaksWorkspace>(
            this->m_peaksWS);

    PeakBoundingBox transformedViewableRegion = box.makeSliceBox(radius);

    transformedViewableRegion.transformBox(m_transform);

    Mantid::API::IAlgorithm_sptr alg =
        AlgorithmManager::Instance().create("PeaksInRegion");
    alg->setChild(true);
    alg->setRethrows(true);
    alg->initialize();
    alg->setProperty("InputWorkspace", peaksWS);
    alg->setProperty("OutputWorkspace", peaksWS->name() + "_peaks_in_region");
    alg->setProperty("Extents", transformedViewableRegion.toExtents());
    alg->setProperty("CheckPeakExtents", false); // consider all peaks as points
    alg->setProperty("PeakRadius", radius);
    alg->setPropertyValue("CoordinateFrame", m_transform->getFriendlyName());
    alg->execute();
    ITableWorkspace_sptr outTable = alg->getProperty("OutputWorkspace");

    for (size_t i = 0; i < outTable->rowCount(); ++i) {
      const bool insideRegion = outTable->cell<Boolean>(i, 1);
      if (insideRegion) {
        indexes.push_back(i);
      }
    }
  }
  return indexes;
}

Mantid::API::MatrixWorkspace_sptr SANSPlotSpecial::runIQTransform() {
  // Run the IQTransform algorithm for the current settings on the GUI
  Mantid::API::IAlgorithm_sptr iqt =
      Mantid::API::AlgorithmManager::Instance().create("IQTransform");
  iqt->initialize();
  try {
    iqt->setPropertyValue("InputWorkspace",
                          m_uiForm.wsInput->currentText().toStdString());
  } catch (std::invalid_argument &) {
    m_uiForm.lbPlotOptionsError->setText(
        "Selected input workspace is not appropriate for the IQTransform "
        "algorithm. Please refer to the documentation for guidelines.");
    return Mantid::API::MatrixWorkspace_sptr();
  }
  iqt->setPropertyValue("OutputWorkspace", "__sans_isis_display_iqt");
  iqt->setPropertyValue("TransformType",
                        m_uiForm.cbPlotType->currentText().toStdString());

  if (m_uiForm.cbBackground->currentText() == "Value") {
    iqt->setProperty<double>("BackgroundValue", m_uiForm.dsBackground->value());
  } else {
    iqt->setPropertyValue("BackgroundWorkspace",
                          m_uiForm.wsBackground->currentText().toStdString());
  }

  if (m_uiForm.cbPlotType->currentText() == "General") {
    std::vector<double> constants =
        m_transforms["General"]->functionConstants();
    iqt->setProperty("GeneralFunctionConstants", constants);
  }

  iqt->execute();

  Mantid::API::MatrixWorkspace_sptr result =
      boost::dynamic_pointer_cast<Mantid::API::MatrixWorkspace>(
          Mantid::API::AnalysisDataService::Instance().retrieve(
              "__sans_isis_display_iqt"));
  return result;
}

void WorkspacePresenter::groupWorkspaces() {
  auto view = lockView();
  auto selected = view->getSelectedWorkspaceNames();

  std::string groupName("NewGroup");
  // get selected workspaces
  if (selected.size() < 2) {
    view->showCriticalUserMessage("Cannot Group Workspaces",
                                  "Select at least two workspaces to group ");
    return;
  }

  if (m_adapter->doesWorkspaceExist(groupName)) {
    if (!view->askUserYesNo("",
                            "Workspace " + groupName +
                                " already exists. Do you want to replace it?"))
      return;
  }

  try {
    std::string algName("GroupWorkspaces");
    Mantid::API::IAlgorithm_sptr alg =
        Mantid::API::AlgorithmManager::Instance().create(algName, -1);
    alg->initialize();
    alg->setProperty("InputWorkspaces", selected);
    alg->setPropertyValue("OutputWorkspace", groupName);
    // execute the algorithm
    bool bStatus = alg->execute();
    if (!bStatus) {
      view->showCriticalUserMessage("MantidPlot - Algorithm error",
                                    " Error in GroupWorkspaces algorithm");
    }
  } catch (...) {
    view->showCriticalUserMessage("MantidPlot - Algorithm error",
                                  " Error in GroupWorkspaces algorithm");
  }
}

bool ConcretePeaksPresenter::addPeakAt(double plotCoordsPointX,
                                       double plotCoordsPointY) {
  V3D plotCoordsPoint(plotCoordsPointX, plotCoordsPointY,
                      m_slicePoint.slicePoint());
  V3D hkl = m_transform->transformBack(plotCoordsPoint);

  Mantid::API::IPeaksWorkspace_sptr peaksWS =
      boost::const_pointer_cast<Mantid::API::IPeaksWorkspace>(this->m_peaksWS);

  Mantid::API::IAlgorithm_sptr alg =
      AlgorithmManager::Instance().create("AddPeakHKL");
  alg->setChild(true);
  alg->setRethrows(true);
  alg->initialize();
  alg->setProperty("Workspace", peaksWS);
  alg->setProperty("HKL", std::vector<double>(hkl));

  // Execute the algorithm
  try {
    alg->execute();
  } catch (...) {
    g_log.warning("ConcretePeaksPresenter: Could not add the peak. Make sure "
                  "that it is added within a valid workspace region");
  }

  // Reproduce the views. Proxy representations recreated for all peaks.
  this->produceViews();

  // Refind visible peaks and Set the proxy representations to be visible or
  // not.
  doFindPeaksInRegion();

  // Upstream controls need to be regenerated.
  this->informOwnerUpdate();

  return alg->isExecuted();
}

void ConcretePeaksPresenter::sortPeaksWorkspace(const std::string &byColumnName,
                                                const bool ascending) {
  Mantid::API::IPeaksWorkspace_sptr peaksWS =
      boost::const_pointer_cast<Mantid::API::IPeaksWorkspace>(this->m_peaksWS);

  // Sort the Peaks in-place.
  Mantid::API::IAlgorithm_sptr alg =
      AlgorithmManager::Instance().create("SortPeaksWorkspace");
  alg->setChild(true);
  alg->setRethrows(true);
  alg->initialize();
  alg->setProperty("InputWorkspace", peaksWS);
  alg->setPropertyValue("OutputWorkspace", "SortedPeaksWorkspace");
  alg->setProperty("OutputWorkspace", peaksWS);
  alg->setProperty("SortAscending", ascending);
  alg->setPropertyValue("ColumnNameToSortBy", byColumnName);
  alg->execute();

  // Reproduce the views.
  this->produceViews();

  // Give the new views the current slice point.
  m_viewPeaks->setSlicePoint(this->m_slicePoint.slicePoint(), m_viewablePeaks);
}

/**
 * Groups the workspace according to grouping provided.
 *
 * @param ws :: Workspace to group
 * @param  g :: The grouping information
 * @return Sptr to created grouped workspace
 */
MatrixWorkspace_sptr groupWorkspace(MatrixWorkspace_const_sptr ws, const Grouping& g)
{
  // As I couldn't specify multiple groups for GroupDetectors, I am going down quite a complicated
  // route - for every group distinct grouped workspace is created using GroupDetectors. These
  // workspaces are then merged into the output workspace.

  // Create output workspace
  MatrixWorkspace_sptr outWs =
    WorkspaceFactory::Instance().create(ws, g.groups.size(), ws->readX(0).size(), ws->blocksize());

  for(size_t gi = 0; gi < g.groups.size(); gi++)
  {
    Mantid::API::IAlgorithm_sptr alg = AlgorithmManager::Instance().create("GroupDetectors");
    alg->setChild(true); // So Output workspace is not added to the ADS
    alg->initialize();
    alg->setProperty("InputWorkspace", boost::const_pointer_cast<MatrixWorkspace>(ws));
    alg->setPropertyValue("SpectraList", g.groups[gi]);
    alg->setPropertyValue("OutputWorkspace", "grouped"); // Is not actually used, just to make validators happy
    alg->execute();

    MatrixWorkspace_sptr grouped = alg->getProperty("OutputWorkspace");

    // Copy the spectrum
    *(outWs->getSpectrum(gi)) = *(grouped->getSpectrum(0));

    // Update spectrum number
    outWs->getSpectrum(gi)->setSpectrumNo(static_cast<specid_t>(gi));

    // Copy to the output workspace
    outWs->dataY(gi) = grouped->readY(0);
    outWs->dataX(gi) = grouped->readX(0);
    outWs->dataE(gi) = grouped->readE(0);
  }

  return outWs;
}

/**
*  Move the user selected spectra in the input workspace into groups in the output workspace
*  @param inputWS :: user selected input workspace for the algorithm
*  @param outputWS :: user selected output workspace for the algorithm
*  @param prog4Copy :: the amount of algorithm progress to attribute to moving a single spectra
*  @return number of new grouped spectra
*/
size_t GroupDetectors2::formGroupsEvent( DataObjects::EventWorkspace_const_sptr inputWS, DataObjects::EventWorkspace_sptr  outputWS,
            const double prog4Copy)
{
  // get "Behaviour" string
  const std::string behaviour = getProperty("Behaviour");
  int bhv = 0;
  if ( behaviour == "Average" ) bhv = 1;

  API::MatrixWorkspace_sptr beh = API::WorkspaceFactory::Instance().create(
    "Workspace2D", static_cast<int>(m_GroupSpecInds.size()), 1, 1);

  g_log.debug() << name() << ": Preparing to group spectra into " << m_GroupSpecInds.size() << " groups\n";


  // where we are copying spectra to, we start copying to the start of the output workspace
  size_t outIndex = 0;
  // Only used for averaging behaviour. We may have a 1:1 map where a Divide would be waste as it would be just dividing by 1
  bool requireDivide(false);
  for ( storage_map::const_iterator it = m_GroupSpecInds.begin(); it != m_GroupSpecInds.end() ; ++it )
  {
    // This is the grouped spectrum
    EventList & outEL = outputWS->getEventList(outIndex);

    // The spectrum number of the group is the key
    outEL.setSpectrumNo(it->first);
    // Start fresh with no detector IDs
    outEL.clearDetectorIDs();

    // the Y values and errors from spectra being grouped are combined in the output spectrum
    // Keep track of number of detectors required for masking
    size_t nonMaskedSpectra(0);
    beh->dataX(outIndex)[0] = 0.0;
    beh->dataE(outIndex)[0] = 0.0;
    for( std::vector<size_t>::const_iterator wsIter = it->second.begin(); wsIter != it->second.end(); ++wsIter)
    {
      const size_t originalWI = *wsIter;

      const EventList & fromEL=inputWS->getEventList(originalWI);
      //Add the event lists with the operator
      outEL += fromEL;


      // detectors to add to the output spectrum
      outEL.addDetectorIDs(fromEL.getDetectorIDs() );
      try
      {
        Geometry::IDetector_const_sptr det = inputWS->getDetector(originalWI);
        if( !det->isMasked() ) ++nonMaskedSpectra;
      }
      catch(Exception::NotFoundError&)
      {
        // If a detector cannot be found, it cannot be masked
        ++nonMaskedSpectra;
      }
    }
    if( nonMaskedSpectra == 0 ) ++nonMaskedSpectra; // Avoid possible divide by zero
    if(!requireDivide) requireDivide = (nonMaskedSpectra > 1);
    beh->dataY(outIndex)[0] = static_cast<double>(nonMaskedSpectra);

    // make regular progress reports and check for cancelling the algorithm
    if ( outIndex % INTERVAL == 0 )
    {
      m_FracCompl += INTERVAL*prog4Copy;
      if ( m_FracCompl > 1.0 )
        m_FracCompl = 1.0;
      progress(m_FracCompl);
      interruption_point();
    }
    outIndex ++;
  }

  // Refresh the spectraDetectorMap
  outputWS->doneAddingEventLists();

  if ( bhv == 1 && requireDivide )
  {
    g_log.debug() << "Running Divide algorithm to perform averaging.\n";
    Mantid::API::IAlgorithm_sptr divide = createChildAlgorithm("Divide");
    divide->initialize();
    divide->setProperty<API::MatrixWorkspace_sptr>("LHSWorkspace", outputWS);
    divide->setProperty<API::MatrixWorkspace_sptr>("RHSWorkspace", beh);
    divide->setProperty<API::MatrixWorkspace_sptr>("OutputWorkspace", outputWS);
    divide->execute();
  }


  g_log.debug() << name() << " created " << outIndex << " new grouped spectra\n";
  return outIndex;
}