示例#1
0
/**
 * Loads a file into a *hidden* workspace.
 *
 * @param fileName :: file name to load.
 * @param wsName   :: workspace name, which will be prefixed by a "__"
 *
 * @returns a pointer to the loaded workspace
 */
API::Workspace_sptr Load::loadFileToWs(const std::string &fileName,
                                       const std::string &wsName) {
  Mantid::API::IAlgorithm_sptr loadAlg = createChildAlgorithm("Load", 1);

  // Get the list properties for the concrete loader load algorithm
  const std::vector<Kernel::Property *> &props = getProperties();

  // Loop through and set the properties on the Child Algorithm
  for (auto prop : props) {
    const std::string &propName = prop->name();

    if (this->existsProperty(propName)) {
      if (propName == "Filename") {
        loadAlg->setPropertyValue("Filename", fileName);
      } else if (propName == "OutputWorkspace") {
        loadAlg->setPropertyValue("OutputWorkspace", wsName);
      } else {
        loadAlg->setPropertyValue(propName, getPropertyValue(propName));
      }
    }
  }

  loadAlg->executeAsChildAlg();

  Workspace_sptr ws = loadAlg->getProperty("OutputWorkspace");
  // ws->setName(wsName);
  AnalysisDataService::Instance().addOrReplace(wsName, ws);
  return ws;
}
示例#2
0
/** 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;
}
/**
 * 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();
}
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;
}
示例#6
0
    /// execute getdatafIles algorithm
    ITableWorkspace_sptr ICatInvestigation::executeGetdataFiles()
    {
      QString algName("CatalogGetDataFiles");
      const int version=1;
      Mantid::API::ITableWorkspace_sptr  ws_sptr;
      Mantid::API::IAlgorithm_sptr alg;
      try
      {
        alg = Mantid::API::AlgorithmManager::Instance().create(algName.toStdString(),version);
      }
      catch(...)
      {
        throw std::runtime_error("Error when loading the data files associated to the selected investigation ");
      }
      try
      {
        alg->setProperty("InvestigationId",m_invstId);
        alg->setProperty("FilterLogFiles",isDataFilesChecked());
        alg->setPropertyValue("OutputWorkspace","datafiles");
      }
      catch(std::invalid_argument& e)
      {
        emit error(e.what());
        return ws_sptr;
      }
      catch (Mantid::Kernel::Exception::NotFoundError& e)
      {
        emit error(e.what());
        return ws_sptr;
      }

      try
      {
        Poco::ActiveResult<bool> result(alg->executeAsync());
        while( !result.available() )
        {
          QCoreApplication::processEvents();
        }
      }
      catch(...)
      {
        return ws_sptr;
      }
      if(AnalysisDataService::Instance().doesExist("datafiles"))
      {
        ws_sptr = boost::dynamic_pointer_cast<Mantid::API::ITableWorkspace>
        (AnalysisDataService::Instance().retrieve("datafiles"));
      }
      return ws_sptr;

    }
示例#7
0
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);
}
示例#8
0
/**
 * 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;
}
/**
  @param  inname       Name of workspace containing peaks
  @param  params       optimized cell parameters
  @param  out          residuals from optimization
*/
void OptimizeLatticeForCellType::optLattice(std::string inname,
                                            std::vector<double> &params,
                                            double *out) {
  PeaksWorkspace_sptr ws = boost::dynamic_pointer_cast<PeaksWorkspace>(
      AnalysisDataService::Instance().retrieve(inname));
  const std::vector<Peak> &peaks = ws->getPeaks();
  size_t n_peaks = ws->getNumberPeaks();
  std::vector<V3D> q_vector;
  std::vector<V3D> hkl_vector;

  for (size_t i = 0; i < params.size(); i++)
    params[i] = std::abs(params[i]);
  for (size_t i = 0; i < n_peaks; i++) {
    q_vector.push_back(peaks[i].getQSampleFrame());
    hkl_vector.push_back(peaks[i].getHKL());
  }

  Mantid::API::IAlgorithm_sptr alg = createChildAlgorithm("CalculateUMatrix");
  alg->setPropertyValue("PeaksWorkspace", inname);
  alg->setProperty("a", params[0]);
  alg->setProperty("b", params[1]);
  alg->setProperty("c", params[2]);
  alg->setProperty("alpha", params[3]);
  alg->setProperty("beta", params[4]);
  alg->setProperty("gamma", params[5]);
  alg->executeAsChildAlg();

  ws = alg->getProperty("PeaksWorkspace");
  OrientedLattice latt = ws->mutableSample().getOrientedLattice();
  DblMatrix UB = latt.getUB();
  DblMatrix A = aMatrix(params);
  DblMatrix Bc = A;
  Bc.Invert();
  DblMatrix U1_B1 = UB * A;
  OrientedLattice o_lattice;
  o_lattice.setUB(U1_B1);
  DblMatrix U1 = o_lattice.getU();
  DblMatrix U1_Bc = U1 * Bc;

  for (size_t i = 0; i < hkl_vector.size(); i++) {
    V3D error = U1_Bc * hkl_vector[i] - q_vector[i] / (2.0 * M_PI);
    out[i] = error.norm2();
  }

  return;
}
示例#10
0
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;
}
示例#11
0
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");
  }
}
示例#12
0
/**
 * Fill m_uiForm.logBox with names of the log values read from one of the input files
 */
void PlotAsymmetryByLogValueDialog::fillLogBox(const QString&)
{
  QString nexusFileName = m_uiForm.firstRunBox->text();
  QFileInfo file(nexusFileName);
  if (!file.exists())
  {
    return;
  }

  m_uiForm.logBox->clear();

  Mantid::API::IAlgorithm_sptr alg = Mantid::API::AlgorithmFactory::Instance().create("LoadNexus",-1);
  alg->initialize();
  try
  {
    alg->setPropertyValue("Filename",nexusFileName.toStdString());
    alg->setPropertyValue("OutputWorkspace","PlotAsymmetryByLogValueDialog_tmp");
    alg->setPropertyValue("SpectrumMin","0");
    alg->setPropertyValue("SpectrumMax","0");
    alg->execute();
    if (alg->isExecuted())
    {
      std::string wsName = alg->getPropertyValue("OutputWorkspace");
      Mantid::API::Workspace_sptr ws = Mantid::API::AnalysisDataService::Instance().retrieve(wsName);
      if ( !ws )
      {
        return;
      }
      Mantid::API::MatrixWorkspace_sptr mws = boost::dynamic_pointer_cast<Mantid::API::MatrixWorkspace>(ws);
      Mantid::API::WorkspaceGroup_sptr gws = boost::dynamic_pointer_cast<Mantid::API::WorkspaceGroup>(ws);
      if (gws)
      {
        if (gws->getNumberOfEntries() < 2) return;
        mws = boost::dynamic_pointer_cast<Mantid::API::MatrixWorkspace>(
          Mantid::API::AnalysisDataService::Instance().retrieve(gws->getNames()[1])
        );
      }
      const std::vector< Mantid::Kernel::Property* >& props = mws->run().getLogData();
      if (gws)
      {
        std::vector<std::string> wsNames = gws->getNames();
        for(std::vector<std::string>::iterator it=wsNames.begin();it!=wsNames.end();++it)
        {
          Mantid::API::AnalysisDataService::Instance().remove(*it);
        }
      }
      else
      {
        Mantid::API::AnalysisDataService::Instance().remove("PlotAsymmetryByLogValueDialog_tmp");
      }
      for(size_t i=0;i<props.size();i++)
      {
        m_uiForm.logBox->addItem(QString::fromStdString(props[i]->name()));
      }
      // Display the appropriate value
      QString displayed("");
      if( !isForScript() )
      {
        displayed = MantidQt::API::AlgorithmInputHistory::Instance().previousInput("PlotAsymmetryByLogValue", "LogValue");
      }
      if( !displayed.isEmpty() )
      {
        int index = m_uiForm.logBox->findText(displayed);
        if( index >= 0 )
        {
          m_uiForm.logBox->setCurrentIndex(index);
        }
      }
    }
    
  }
  catch(std::exception& )
  {
  }
}