示例#1
0
void LoadDNSSCD::updateProperties(API::Run &run,
                                  std::map<std::string, T> &metadata,
                                  std::string time) {
  typename std::map<std::string, T>::iterator it = metadata.begin();
  while (it != metadata.end()) {
    TimeSeriesProperty<T> *timeSeries(nullptr);
    std::string name(it->first);
    std::string units;
    // std::regex does not work for rhel7, thus boost
    boost::regex reg("([-_a-zA-Z]+)\\[(.*)]");
    boost::smatch match;
    if (boost::regex_search(name, match, reg) && match.size() > 2) {
      std::string new_name(match.str(1));
      units.assign(match.str(2));
      name = new_name;
    }
    if (run.hasProperty(name)) {
      timeSeries = dynamic_cast<TimeSeriesProperty<T> *>(run.getLogData(name));
      if (!timeSeries)
        throw std::invalid_argument(
            "Log '" + name +
            "' already exists but the values are a different type.");
    } else {
      timeSeries = new TimeSeriesProperty<T>(name);
      if (!units.empty())
        timeSeries->setUnits(units);
      run.addProperty(timeSeries);
    }
    timeSeries->addValue(time, it->second);
    ++it;
  }
}
/**
 * Get a value from one of a set of logs.
 * @param run
 * @param propName
 * @return
 */
double PDDetermineCharacterizations::getLogValue(API::Run &run,
                                                 const std::string &propName) {
  std::vector<std::string> names = getProperty(propName);

  std::string label = "frequency";
  if (propName == WL_PROP_NAME)
    label = "wavelength";

  std::unordered_set<std::string> validUnits;
  if (propName == WL_PROP_NAME) {
    validUnits.insert("Angstrom");
    validUnits.insert("A");
  } else {
    validUnits.insert("Hz");
  }

  for (auto &name : names) {
    if (run.hasProperty(name)) {
      const std::string units = run.getProperty(name)->units();

      if (validUnits.find(units) != validUnits.end()) {
        double value = run.getLogAsSingleValue(name);
        if (value == 0.) {
          std::stringstream msg;
          msg << "'" << name << "' has a mean value of zero " << units;
          g_log.information(msg.str());
        } else {
          std::stringstream msg;
          msg << "Found " << label << " in log '" << name
              << "' with mean value " << value << " " << units;
          g_log.information(msg.str());
          return value;
        }
      } else {
        std::stringstream msg;
        msg << "When looking at " << name << " log encountered unknown units '"
            << units << "' for " << label << ":" << units;
        g_log.warning(msg.str());
      }
    }
  }
  g_log.warning("Failed to determine " + label);
  return 0.;
}
示例#3
0
/** Get run start time from the target workspace to add the property
 * @brief AddSampleLog::getRunStart
 * @param run_obj
 * @return
 */
Types::Core::DateAndTime AddSampleLog::getRunStart(API::Run &run_obj) {
  // TODO/ISSUE/NOW - data ws should be the target workspace with run_start or
  // proton_charge property!
  Types::Core::DateAndTime runstart(0);
  try {
    runstart = run_obj.startTime();
  } catch (std::runtime_error &) {
    // Swallow the error - startTime will just be 0
  }

  return runstart;
}
示例#4
0
    /**
     * Load an ISIS log file into the local workspace.
     * @param logFileStream :: The stream of the log file (data).
     * @param logFileName :: The name of the log file to load.
     * @param run :: The run information object
     */
    void LoadLog::loadTwoColumnLogFile(std::ifstream& logFileStream, std::string logFileName, API::Run& run)
    {
      if (!logFileStream)
      {
        throw std::invalid_argument("Unable to open file " + m_filename);
      }

      // figure out if second column is a number or a string
      std::string aLine;
      if( Mantid::Kernel::Strings::extractToEOL(logFileStream,aLine) )
      {
        if ( !isDateTimeString(aLine) )
        {
          throw std::invalid_argument("File" + m_filename + " is not a standard ISIS log file. Expected to be a two column file.");
        }

        std::string DateAndTime;
        std::stringstream ins(aLine);
        ins >> DateAndTime;

        // read in what follows the date-time string in the log file and figure out what type it is
        std::string whatType;
        ins >> whatType;
        kind l_kind = classify(whatType);

        if (LoadLog::string != l_kind && LoadLog::number != l_kind)
        {
          throw std::invalid_argument("ISIS log file contains unrecognised second column entries: " + m_filename);
        }

        try
        {
          Property* log = LogParser::createLogProperty(m_filename,stringToLower(logFileName));
          if (log)
          {
            run.addLogData(log);
          }
        }
        catch(std::exception&)
        {
        }
      }
    }
示例#5
0
    /**
     * reads the .log stream and creates timeseries property and sets that to the run object
     * @param logFileStream :: The stream of the log file (data).
     * @param logFileName :: The name of the log file to load.
     * @param run :: The run information object
     */
    void LoadLog::loadThreeColumnLogFile(std::ifstream& logFileStream, std::string logFileName, API::Run& run)
    {
      std::string str;
      std::string propname;
      Mantid::Kernel::TimeSeriesProperty<double>* logd = 0;
      Mantid::Kernel::TimeSeriesProperty<std::string>* logs = 0;
      std::map<std::string,Kernel::TimeSeriesProperty<double>*> dMap;
      std::map<std::string,Kernel::TimeSeriesProperty<std::string>*> sMap;
      typedef std::pair<std::string,Kernel::TimeSeriesProperty<double>* > dpair;
      typedef std::pair<std::string,Kernel::TimeSeriesProperty<std::string>* > spair;
      kind l_kind(LoadLog::empty);
      bool isNumeric(false);

      if (!logFileStream)
      {
        throw std::invalid_argument("Unable to open file " + m_filename);
      }

      while(Mantid::Kernel::Strings::extractToEOL(logFileStream,str))
      {
        if ( !isDateTimeString(str) )
        {
          throw std::invalid_argument("File" + logFileName + " is not a standard ISIS log file. Expected to be a file starting with DateTime String format.");
        }

        if (!Kernel::TimeSeriesProperty<double>::isTimeString(str) || (str[0]=='#'))
        {    //if the line doesn't start with a time read the next line
          continue;
        }

        std::stringstream line(str);
        std::string timecolumn;
        line >> timecolumn;

        std::string blockcolumn;
        line >> blockcolumn;
        l_kind = classify(blockcolumn);

        if ( LoadLog::string != l_kind )
        {
          throw std::invalid_argument("ISIS log file contains unrecognised second column entries:" + logFileName);
        }

        std::string valuecolumn;
        line >> valuecolumn;
        l_kind = classify(valuecolumn);

        if ( LoadLog::string != l_kind && LoadLog::number != l_kind)
        {
          continue; //no value defined, just skip this entry
        }

        // column two in .log file is called block column
        propname = stringToLower(blockcolumn);
        //check if the data is numeric
        std::istringstream istr(valuecolumn);
        double dvalue;
        istr >> dvalue;
        isNumeric = !istr.fail();

        if (isNumeric)
        {
          std::map<std::string,Kernel::TimeSeriesProperty<double>*>::iterator ditr = dMap.find(propname);
          if(ditr != dMap.end())
          {
            Kernel::TimeSeriesProperty<double>* prop = ditr->second;
            if (prop) prop->addValue(timecolumn,dvalue);
          }
          else
          {
            logd = new Kernel::TimeSeriesProperty<double>(propname);
            logd->addValue(timecolumn,dvalue);
            dMap.insert(dpair(propname,logd));
          }
        }
        else
        {
          std::map<std::string,Kernel::TimeSeriesProperty<std::string>*>::iterator sitr = sMap.find(propname);
          if(sitr != sMap.end())
          {
            Kernel::TimeSeriesProperty<std::string>* prop = sitr->second;
            if (prop) prop->addValue(timecolumn,valuecolumn);
          }
          else
          {
            logs = new Kernel::TimeSeriesProperty<std::string>(propname);
            logs->addValue(timecolumn,valuecolumn);
            sMap.insert(spair(propname,logs));
          }
        }
      }
      try
      {
        std::map<std::string,Kernel::TimeSeriesProperty<double>*>::const_iterator itr = dMap.begin();
        for(;itr != dMap.end(); ++itr)
        {
          run.addLogData(itr->second);
        }
        std::map<std::string,Kernel::TimeSeriesProperty<std::string>*>::const_iterator sitr = sMap.begin();
        for(;sitr!=sMap.end();++sitr)
        {
          run.addLogData(sitr->second);
        }
      }
      catch(std::invalid_argument &e)
      {
        g_log.warning() << e.what();
      }
      catch(Exception::ExistsError&e)
      {
        g_log.warning() << e.what();
      }
    }
示例#6
0
    /**
     * Recursively add properties from a nexus file to
     * the workspace run.
     *
     * @param nxfileID    :: Nexus file handle to be parsed, just after an NXopengroup
     * @param runDetails  :: where to add properties
     * @param parent_name :: nexus caller name
     * @param parent_class :: nexus caller class
     * @param level       :: current level in nexus tree
     *
     */
    void LoadHelper::recurseAndAddNexusFieldsToWsRun(NXhandle nxfileID, API::Run& runDetails,
        std::string& parent_name, std::string& parent_class, int level)
    {

      std::string indent_str(level * 2, ' '); // Two space by indent level

      // Link ?

      // Attributes ?

      // Classes
      NXstatus getnextentry_status;       ///< return status
      int datatype; ///< NX data type if a dataset, e.g. NX_CHAR, NX_FLOAT32, see napi.h
      char nxname[NX_MAXNAMELEN], nxclass[NX_MAXNAMELEN];
      nxname[0] = '0';
      nxclass[0] = '0';

      bool has_entry = true; // follows getnextentry_status
      while (has_entry)
      {
        getnextentry_status = NXgetnextentry(nxfileID, nxname, nxclass, &datatype);

        if (getnextentry_status == NX_OK)
        {
          g_log.debug() << indent_str << parent_name << "." << nxname << " ; " << nxclass << std::endl;

          NXstatus opengroup_status;
          NXstatus opendata_status;

          if ((opengroup_status = NXopengroup(nxfileID, nxname, nxclass)) == NX_OK)
          {

            // Go down to one level
            std::string p_nxname(nxname); //current names can be useful for next level
            std::string p_nxclass(nxclass);

            recurseAndAddNexusFieldsToWsRun(nxfileID, runDetails, p_nxname, p_nxclass, level + 1);

            NXclosegroup(nxfileID);
          }        // if(NXopengroup
          else if ((opendata_status = NXopendata(nxfileID, nxname)) == NX_OK)
          {
            //dump_attributes(nxfileID, indent_str);
            g_log.debug() << indent_str << nxname << " opened." << std::endl;

            if (parent_class == "NXData" || parent_class == "NXMonitor" || std::string(nxname) == "data")
            {
              g_log.debug() << indent_str << "skipping " << parent_class << " (" << nxname << ")"
                  << std::endl;
              /* nothing */
            }
            else
            { // create a property
              int rank;
              int dims[4];
              int type;
              dims[0] = dims[1] = dims[2] = dims[3] = 0;

              std::string property_name = (parent_name.empty() ? nxname : parent_name + "." + nxname);

              g_log.debug() << indent_str << "considering property " << property_name << std::endl;

              // Get the value
              NXgetinfo(nxfileID, &rank, dims, &type);

              // Note, we choose to only build properties on small float arrays
              // filter logic is below
              bool build_small_float_array = false;              // default

              if ((type == NX_FLOAT32) || (type == NX_FLOAT64))
              {
                if ((rank == 1) && (dims[0] <= 9))
                {
                  build_small_float_array = true;
                }
                else
                {
                  g_log.debug() << indent_str << "ignored multi dimension float data on "
                      << property_name << std::endl;
                }
              }
              else if (type != NX_CHAR)
              {
                if ((rank != 1) || (dims[0] != 1) || (dims[1] != 1) || (dims[2] != 1) || (dims[3] != 1))
                {
                  g_log.debug() << indent_str << "ignored multi dimension data on " << property_name
                      << std::endl;
                }
              }

              void *dataBuffer;
              NXmalloc(&dataBuffer, rank, dims, type);

              if (NXgetdata(nxfileID, dataBuffer) != NX_OK)
              {
                NXfree(&dataBuffer);
                throw std::runtime_error("Cannot read data from NeXus file");
              }

              if (type == NX_CHAR)
              {
                std::string property_value((const char *) dataBuffer);
                if (boost::algorithm::ends_with(property_name, "_time"))
                {
                  // That's a time value! Convert to Mantid standard
                  property_value = dateTimeInIsoFormat(property_value);
                }
                runDetails.addProperty(property_name, property_value);

              }
              else if ((type == NX_FLOAT32) || (type == NX_FLOAT64) || (type == NX_INT16)
                  || (type == NX_INT32) || (type == NX_UINT16))
              {

                // Look for "units"
                NXstatus units_status;
                char units_sbuf[NX_MAXNAMELEN];
                int units_len = NX_MAXNAMELEN;
                int units_type = NX_CHAR;

                units_status = NXgetattr(nxfileID, const_cast<char*>("units"), (void *) units_sbuf,
                    &units_len, &units_type);
                if (units_status != NX_ERROR)
                {
                  g_log.debug() << indent_str << "[ " << property_name << " has unit " << units_sbuf
                      << " ]" << std::endl;
                }

                if ((type == NX_FLOAT32) || (type == NX_FLOAT64))
                {
                  // Mantid numerical properties are double only.
                  double property_double_value = 0.0;

                  // Simple case, one value
                  if (dims[0] == 1)
                  {
                    if (type == NX_FLOAT32)
                    {
                      property_double_value = *((float*) dataBuffer);
                    }
                    else if (type == NX_FLOAT64)
                    {
                      property_double_value = *((double*) dataBuffer);
                    }
                    if (units_status != NX_ERROR)
                      runDetails.addProperty(property_name, property_double_value,
                          std::string(units_sbuf));
                    else
                      runDetails.addProperty(property_name, property_double_value);
                  }
                  else if (build_small_float_array)
                  {
                    // An array, converted to "name_index", with index < 10 (see test above)
                    for (int dim_index = 0; dim_index < dims[0]; dim_index++)
                    {
                      if (type == NX_FLOAT32)
                      {
                        property_double_value = ((float*) dataBuffer)[dim_index];
                      }
                      else if (type == NX_FLOAT64)
                      {
                        property_double_value = ((double*) dataBuffer)[dim_index];
                      }
                      std::string indexed_property_name = property_name + std::string("_")
                          + boost::lexical_cast<std::string>(dim_index);
                      if (units_status != NX_ERROR)
                        runDetails.addProperty(indexed_property_name, property_double_value,
                            std::string(units_sbuf));
                      else
                        runDetails.addProperty(indexed_property_name, property_double_value);
                    }
                  }

                }
                else
                {
                  // int case
                  int property_int_value = 0;
                  if (type == NX_INT16)
                  {
                    property_int_value = *((short int*) dataBuffer);
                  }
                  else if (type == NX_INT32)
                  {
                    property_int_value = *((int*) dataBuffer);
                  }
                  else if (type == NX_UINT16)
                  {
                    property_int_value = *((short unsigned int*) dataBuffer);
                  }

                  if (units_status != NX_ERROR)
                    runDetails.addProperty(property_name, property_int_value, std::string(units_sbuf));
                  else
                    runDetails.addProperty(property_name, property_int_value);

                } // if (type==...

              }
              else
              {
                g_log.debug() << indent_str << "unexpected data on " << property_name << std::endl;
              } // test on nxdata type

              NXfree(&dataBuffer);
              dataBuffer = NULL;

            } // if (parent_class == "NXData" || parent_class == "NXMonitor") else

            NXclosedata(nxfileID);
          }
          else
          {
            g_log.debug() << indent_str << "unexpected status (" << opendata_status << ") on " << nxname
                << std::endl;
          }

        }
        else if (getnextentry_status == NX_EOD)
        {
          g_log.debug() << indent_str << "End of Dir" << std::endl;
          has_entry = false; // end of loop
        }
        else
        {
          g_log.debug() << indent_str << "unexpected status (" << getnextentry_status << ")"
              << std::endl;
          has_entry = false; // end of loop
        }

      } // while

    } // recurseAndAddNexusFieldsToWsRun
void vtkDataSetToNonOrthogonalDataSet::execute() {
  // Downcast to a vtkUnstructuredGrid
  vtkUnstructuredGrid *data = vtkUnstructuredGrid::SafeDownCast(m_dataSet);
  if (NULL == data)
  {
    throw std::runtime_error("VTK dataset does not inherit from vtkPointSet");
  }

  // Get the workspace from the ADS
  ADSWorkspaceProvider<API::IMDWorkspace> workspaceProvider;
  API::Workspace_sptr ws = workspaceProvider.fetchWorkspace(m_wsName);
  std::string wsType = ws->id();

  Geometry::OrientedLattice oLatt;
  std::vector<double> wMatArr;
  Kernel::Matrix<coord_t> affMat;

  // Have to cast since inherited class doesn't provide access to all info
  if (boost::algorithm::find_first(wsType, "MDHistoWorkspace")) {
    API::IMDHistoWorkspace_const_sptr infoWs =
        boost::dynamic_pointer_cast<const API::IMDHistoWorkspace>(ws);

    m_boundingBox[0] = infoWs->getDimension(0)->getMinimum();
    m_boundingBox[1] = infoWs->getDimension(0)->getMaximum();
    m_boundingBox[2] = infoWs->getDimension(1)->getMinimum();
    m_boundingBox[3] = infoWs->getDimension(1)->getMaximum();
    m_boundingBox[4] = infoWs->getDimension(2)->getMinimum();
    m_boundingBox[5] = infoWs->getDimension(2)->getMaximum();

    m_numDims = infoWs->getNumDims();
    m_coordType = infoWs->getSpecialCoordinateSystem();
    if (Kernel::HKL != m_coordType) {
      throw std::invalid_argument(
          "Cannot create non-orthogonal view for non-HKL coordinates");
    }
    const API::Sample sample = infoWs->getExperimentInfo(0)->sample();
    if (!sample.hasOrientedLattice()) {
      throw std::invalid_argument(
          "OrientedLattice is not present on workspace");
    }
    oLatt = sample.getOrientedLattice();
    const API::Run run = infoWs->getExperimentInfo(0)->run();
    if (!run.hasProperty("W_MATRIX")) {
      throw std::invalid_argument("W_MATRIX is not present on workspace");
    }
    wMatArr = run.getPropertyValueAsType<std::vector<double>>("W_MATRIX");
    try {
      API::CoordTransform const * transform = infoWs->getTransformToOriginal();
      affMat = transform->makeAffineMatrix();
    } catch (std::runtime_error &) {
      // Create identity matrix of dimension+1
      std::size_t nDims = infoWs->getNumDims() + 1;
      Kernel::Matrix<coord_t> temp(nDims, nDims, true);
      affMat = temp;
    }
  }
  // This is only here to make the unit test run.
  if (boost::algorithm::find_first(wsType, "MDEventWorkspace")) {
    API::IMDEventWorkspace_const_sptr infoWs =
        boost::dynamic_pointer_cast<const API::IMDEventWorkspace>(ws);
    m_numDims = infoWs->getNumDims();
    m_coordType = infoWs->getSpecialCoordinateSystem();
    if (Kernel::HKL != m_coordType) {
      throw std::invalid_argument(
          "Cannot create non-orthogonal view for non-HKL coordinates");
    }
    const API::Sample sample = infoWs->getExperimentInfo(0)->sample();
    if (!sample.hasOrientedLattice()) {
      throw std::invalid_argument(
          "OrientedLattice is not present on workspace");
    }
    oLatt = sample.getOrientedLattice();
    const API::Run run = infoWs->getExperimentInfo(0)->run();
    if (!run.hasProperty("W_MATRIX")) {
      throw std::invalid_argument("W_MATRIX is not present on workspace");
    }
    wMatArr = run.getPropertyValueAsType<std::vector<double>>("W_MATRIX");
    try {
      API::CoordTransform const *transform = infoWs->getTransformToOriginal();
      affMat = transform->makeAffineMatrix();
    } catch (std::runtime_error &) {
      // Create identity matrix of dimension+1
      std::size_t nDims = infoWs->getNumDims() + 1;
      Kernel::Matrix<coord_t> temp(nDims, nDims, true);
      affMat = temp;
    }
  }
  Kernel::DblMatrix wTrans(wMatArr);
  this->createSkewInformation(oLatt, wTrans, affMat);

  // Get the original points
  vtkPoints *points = data->GetPoints();
  double outPoint[3];
  vtkPoints *newPoints = vtkPoints::New();
  newPoints->Allocate(points->GetNumberOfPoints());

  /// Put together the skew matrix for use
  double skew[9];

  // Create from the internal skew matrix
  std::size_t index = 0;
  for (std::size_t i = 0; i < m_skewMat.numRows(); i++) {
    for (std::size_t j = 0; j < m_skewMat.numCols(); j++) {
      skew[index] = m_skewMat[i][j];
      index++;
    }
  }

  for (int i = 0; i < points->GetNumberOfPoints(); i++) {
    double *inPoint = points->GetPoint(i);
    vtkMatrix3x3::MultiplyPoint(skew, inPoint, outPoint);
    newPoints->InsertNextPoint(outPoint);
  }
  data->SetPoints(newPoints);
  this->updateMetaData(data);
}
void vtkDataSetToNonOrthogonalDataSet::execute() {
  // Downcast to a vtkPointSet
  vtkPointSet *data = vtkPointSet::SafeDownCast(m_dataSet);
  if (NULL == data) {
    throw std::runtime_error("VTK dataset does not inherit from vtkPointSet");
  }

  // Get the workspace from the ADS
  ADSWorkspaceProvider<API::IMDWorkspace> workspaceProvider;
  API::Workspace_sptr ws = workspaceProvider.fetchWorkspace(m_wsName);
  std::string wsType = ws->id();

  Geometry::OrientedLattice oLatt;
  std::vector<double> wMatArr;
  Kernel::Matrix<coord_t> affMat;

  // Have to cast since inherited class doesn't provide access to all info
  if (boost::algorithm::find_first(wsType, "MDHistoWorkspace")) {
    API::IMDHistoWorkspace_const_sptr infoWs =
        boost::dynamic_pointer_cast<const API::IMDHistoWorkspace>(ws);

    m_boundingBox[0] = infoWs->getXDimension()->getMinimum();
    m_boundingBox[1] = infoWs->getXDimension()->getMaximum();
    m_boundingBox[2] = infoWs->getYDimension()->getMinimum();
    m_boundingBox[3] = infoWs->getYDimension()->getMaximum();
    m_boundingBox[4] = infoWs->getZDimension()->getMinimum();
    m_boundingBox[5] = infoWs->getZDimension()->getMaximum();

    m_numDims = infoWs->getNumDims();
    m_coordType = infoWs->getSpecialCoordinateSystem();
    if (Kernel::HKL != m_coordType) {
      throw std::invalid_argument(
          "Cannot create non-orthogonal view for non-HKL coordinates");
    }
    const API::Sample sample = infoWs->getExperimentInfo(0)->sample();
    if (!sample.hasOrientedLattice()) {
      throw std::invalid_argument(
          "OrientedLattice is not present on workspace");
    }
    oLatt = sample.getOrientedLattice();
    const API::Run run = infoWs->getExperimentInfo(0)->run();
    if (!run.hasProperty("W_MATRIX")) {
      throw std::invalid_argument("W_MATRIX is not present on workspace");
    }
    wMatArr = run.getPropertyValueAsType<std::vector<double>>("W_MATRIX");
    try {
      API::CoordTransform const *transform = infoWs->getTransformToOriginal();
      affMat = transform->makeAffineMatrix();
    } catch (std::runtime_error &) {
      // Create identity matrix of dimension+1
      std::size_t nDims = infoWs->getNumDims() + 1;
      Kernel::Matrix<coord_t> temp(nDims, nDims, true);
      affMat = temp;
    }
  }
  // This is only here to make the unit test run.
  if (boost::algorithm::find_first(wsType, "MDEventWorkspace")) {
    API::IMDEventWorkspace_const_sptr infoWs =
        boost::dynamic_pointer_cast<const API::IMDEventWorkspace>(ws);

    m_boundingBox[0] = infoWs->getXDimension()->getMinimum();
    m_boundingBox[1] = infoWs->getXDimension()->getMaximum();
    m_boundingBox[2] = infoWs->getYDimension()->getMinimum();
    m_boundingBox[3] = infoWs->getYDimension()->getMaximum();
    m_boundingBox[4] = infoWs->getZDimension()->getMinimum();
    m_boundingBox[5] = infoWs->getZDimension()->getMaximum();

    m_numDims = infoWs->getNumDims();
    m_coordType = infoWs->getSpecialCoordinateSystem();
    if (Kernel::HKL != m_coordType) {
      throw std::invalid_argument(
          "Cannot create non-orthogonal view for non-HKL coordinates");
    }
    const API::Sample sample = infoWs->getExperimentInfo(0)->sample();
    if (!sample.hasOrientedLattice()) {
      throw std::invalid_argument(
          "OrientedLattice is not present on workspace");
    }
    oLatt = sample.getOrientedLattice();
    const API::Run run = infoWs->getExperimentInfo(0)->run();
    if (!run.hasProperty("W_MATRIX")) {
      throw std::invalid_argument("W_MATRIX is not present on workspace");
    }
    wMatArr = run.getPropertyValueAsType<std::vector<double>>("W_MATRIX");
    try {
      API::CoordTransform const *transform = infoWs->getTransformToOriginal();
      affMat = transform->makeAffineMatrix();
    } catch (std::runtime_error &) {
      // Create identity matrix of dimension+1
      std::size_t nDims = infoWs->getNumDims() + 1;
      Kernel::Matrix<coord_t> temp(nDims, nDims, true);
      affMat = temp;
    }
  }
  Kernel::DblMatrix wTrans(wMatArr);
  this->createSkewInformation(oLatt, wTrans, affMat);

  /// Put together the skew matrix for use
  Mantid::coord_t skew[9];

  // Create from the internal skew matrix
  std::size_t index = 0;
  for (std::size_t i = 0; i < m_skewMat.numRows(); i++) {
    for (std::size_t j = 0; j < m_skewMat.numCols(); j++) {
      skew[index] = static_cast<Mantid::coord_t>(m_skewMat[i][j]);
      index++;
    }
  }

  // Get the original points
  vtkFloatArray *points =
      vtkFloatArray::SafeDownCast(data->GetPoints()->GetData());
  if (points == NULL) {
    throw std::runtime_error("Failed to cast vtkDataArray to vtkFloatArray.");
  } else if (points->GetNumberOfComponents() != 3) {
    throw std::runtime_error("points array must have 3 components.");
  }

  float *end = points->GetPointer(points->GetNumberOfTuples() * 3);
  for (float *it = points->GetPointer(0); it < end; std::advance(it, 3)) {
    float v1 = it[0];
    float v2 = it[1];
    float v3 = it[2];
    it[0] = v1 * skew[0] + v2 * skew[1] + v3 * skew[2];
    it[1] = v1 * skew[3] + v2 * skew[4] + v3 * skew[5];
    it[2] = v1 * skew[6] + v2 * skew[7] + v3 * skew[8];
  }
  this->updateMetaData(data);
}