/**
* Calculates binning parameters.
*/
void Iqt::calculateBinning() {
using namespace Mantid::API;
disconnect(m_dblManager, SIGNAL(valueChanged(QtProperty *, double)), this,
SLOT(updatePropertyValues(QtProperty *, double)));
QString wsName = m_uiForm.dsInput->getCurrentDataName();
QString resName = m_uiForm.dsResolution->getCurrentDataName();
if (wsName.isEmpty() || resName.isEmpty())
return;
double energyMin = m_dblManager->value(m_properties["ELow"]);
double energyMax = m_dblManager->value(m_properties["EHigh"]);
double numBins = m_dblManager->value(m_properties["SampleBinning"]);
if (numBins == 0)
return;
IAlgorithm_sptr furyAlg =
AlgorithmManager::Instance().create("TransformToIqt");
furyAlg->initialize();
furyAlg->setProperty("SampleWorkspace", wsName.toStdString());
furyAlg->setProperty("ResolutionWorkspace", resName.toStdString());
furyAlg->setProperty("ParameterWorkspace", "__FuryProperties_temp");
furyAlg->setProperty("EnergyMin", energyMin);
furyAlg->setProperty("EnergyMax", energyMax);
furyAlg->setProperty("BinReductionFactor", numBins);
furyAlg->setProperty("DryRun", true);
furyAlg->execute();
// Get property table from algorithm
ITableWorkspace_sptr propsTable =
AnalysisDataService::Instance().retrieveWS<ITableWorkspace>(
"__FuryProperties_temp");
// Get data from property table
double energyWidth = propsTable->getColumn("EnergyWidth")->cell<float>(0);
int sampleBins = propsTable->getColumn("SampleOutputBins")->cell<int>(0);
int resolutionBins = propsTable->getColumn("ResolutionBins")->cell<int>(0);
// Update data in property editor
m_dblManager->setValue(m_properties["EWidth"], energyWidth);
m_dblManager->setValue(m_properties["ResolutionBins"], resolutionBins);
m_dblManager->setValue(m_properties["SampleBins"], sampleBins);
connect(m_dblManager, SIGNAL(valueChanged(QtProperty *, double)), this,
SLOT(updatePropertyValues(QtProperty *, double)));
// Warn for low number of resolution bins
int numResolutionBins =
static_cast<int>(m_dblManager->value(m_properties["ResolutionBins"]));
if (numResolutionBins < 5)
showMessageBox("Number of resolution bins is less than 5.\nResults may be "
"inaccurate.");
}
/**
* Creates a domain from an ITableWorkspace
*
* This method creates a LatticeDomain from a table workspace that contains two
* columns, HKL and d. HKL can either be a V3D-column or a string column,
* containing three integers separated by space, comma, semi-colon and
* optionally surrounded by []. The d-column can be double or a string that can
* be parsed as a double number.
*
* @param workspace :: ITableWorkspace with format specified above.
* @param domain :: Pointer to outgoing FunctionDomain instance.
* @param values :: Pointer to outgoing FunctionValues object.
* @param i0 :: Size offset for values object if it already contains data.
*/
void LatticeDomainCreator::createDomainFromPeakTable(
const ITableWorkspace_sptr &workspace,
boost::shared_ptr<FunctionDomain> &domain,
boost::shared_ptr<FunctionValues> &values, size_t i0) {
size_t peakCount = workspace->rowCount();
if (peakCount < 1) {
throw std::range_error("Cannot create a domain for 0 peaks.");
}
try {
Column_const_sptr hklColumn = workspace->getColumn("HKL");
Column_const_sptr dColumn = workspace->getColumn("d");
std::vector<V3D> hkls;
hkls.reserve(peakCount);
std::vector<double> dSpacings;
dSpacings.reserve(peakCount);
V3DFromHKLColumnExtractor extractor;
for (size_t i = 0; i < peakCount; ++i) {
try {
V3D hkl = extractor(hklColumn, i);
if (hkl != V3D(0, 0, 0)) {
hkls.push_back(hkl);
double d = (*dColumn)[i];
dSpacings.push_back(d);
}
} catch (const std::bad_alloc &) {
// do nothing.
}
}
domain = boost::make_shared<LatticeDomain>(hkls);
if (!values) {
values = boost::make_shared<FunctionValues>(*domain);
} else {
values->expand(i0 + domain->size());
}
values->setFitData(dSpacings);
values->setFitWeights(1.0);
} catch (const std::runtime_error &) {
// Column does not exist
throw std::runtime_error("Can not process table, the following columns are "
"required: HKL, d.");
}
}
/**
* Removes error columns from the table if all errors are zero,
* as these columns correspond to fixed parameters.
* @param table :: [input, output] Pointer to TableWorkspace to edit
*/
void MuonAnalysisResultTableCreator::removeFixedParameterErrors(
const ITableWorkspace_sptr table) const {
assert(table);
const size_t nRows = table->rowCount();
const auto colNames = table->getColumnNames();
std::vector<std::string> zeroErrorColumns;
for (const auto &name : colNames) {
// if name does not end with "Error", continue
const size_t nameLength = name.length();
if (nameLength < ERROR_LENGTH ||
name.compare(nameLength - ERROR_LENGTH, ERROR_LENGTH, ERROR_STRING)) {
continue;
}
auto col = table->getColumn(name);
bool allZeros = true;
// Check if all values in the column are zero
for (size_t iRow = 0; iRow < nRows; ++iRow) {
const double val = col->toDouble(iRow);
if (std::abs(val) > std::numeric_limits<double>::epsilon()) {
allZeros = false;
break;
}
}
if (allZeros) {
zeroErrorColumns.push_back(name);
}
}
for (const auto &name : zeroErrorColumns) {
table->removeColumn(name);
}
}
void ConvertTableToMatrixWorkspace::exec()
{
ITableWorkspace_sptr inputWorkspace = getProperty("InputWorkspace");
std::string columnX = getProperty("ColumnX");
std::string columnY = getProperty("ColumnY");
std::string columnE = getProperty("ColumnE");
size_t nrows = inputWorkspace->rowCount();
std::vector<double> X(nrows);
std::vector<double> Y(nrows);
std::vector<double> E(nrows);
inputWorkspace->getColumn(columnX)->numeric_fill(X);
inputWorkspace->getColumn(columnY)->numeric_fill(Y);
if (!columnE.empty())
{
inputWorkspace->getColumn(columnE)->numeric_fill(E);
}
else
{
E.assign(X.size(),1.0);
}
MatrixWorkspace_sptr outputWorkspace = WorkspaceFactory::Instance().create("Workspace2D",1,X.size(),X.size());
outputWorkspace->dataX(0).assign(X.begin(),X.end());
outputWorkspace->dataY(0).assign(Y.begin(),Y.end());
outputWorkspace->dataE(0).assign(E.begin(),E.end());
outputWorkspace->generateSpectraMap();
boost::shared_ptr<Kernel::Units::Label> labelX = boost::dynamic_pointer_cast<Kernel::Units::Label>(
Kernel::UnitFactory::Instance().create("Label")
);
labelX->setLabel(columnX);
outputWorkspace->getAxis(0)->unit() = labelX;
outputWorkspace->setYUnitLabel(columnY);
setProperty("OutputWorkspace", outputWorkspace);
}
/**
* Handles completion of the preview algorithm.
*
* @param error If the algorithm failed
*/
void IndirectSymmetrise::previewAlgDone(bool error) {
if (error)
return;
QString workspaceName = m_uiForm.dsInput->getCurrentDataName();
int spectrumNumber =
static_cast<int>(m_dblManager->value(m_properties["PreviewSpec"]));
MatrixWorkspace_sptr sampleWS =
AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>(
workspaceName.toStdString());
ITableWorkspace_sptr propsTable =
AnalysisDataService::Instance().retrieveWS<ITableWorkspace>(
"__SymmetriseProps_temp");
MatrixWorkspace_sptr symmWS =
AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>(
"__Symmetrise_temp");
// Get the index of XCut on each side of zero
int negativeIndex = propsTable->getColumn("NegativeXMinIndex")->cell<int>(0);
int positiveIndex = propsTable->getColumn("PositiveXMinIndex")->cell<int>(0);
// Get the Y values for each XCut and the difference between them
double negativeY = sampleWS->dataY(0)[negativeIndex];
double positiveY = sampleWS->dataY(0)[positiveIndex];
double deltaY = fabs(negativeY - positiveY);
// Show values in property tree
m_dblManager->setValue(m_properties["NegativeYValue"], negativeY);
m_dblManager->setValue(m_properties["PositiveYValue"], positiveY);
m_dblManager->setValue(m_properties["DeltaY"], deltaY);
// Set indicator positions
m_uiForm.ppRawPlot->getRangeSelector("NegativeEMinYPos")
->setMinimum(negativeY);
m_uiForm.ppRawPlot->getRangeSelector("PositiveEMinYPos")
->setMinimum(positiveY);
// Plot preview plot
size_t spectrumIndex = symmWS->getIndexFromSpectrumNumber(spectrumNumber);
m_uiForm.ppPreviewPlot->clear();
m_uiForm.ppPreviewPlot->addSpectrum("Symmetrised", "__Symmetrise_temp",
spectrumIndex);
// Don't want this to trigger when the algorithm is run for all spectra
disconnect(m_batchAlgoRunner, SIGNAL(batchComplete(bool)), this,
SLOT(previewAlgDone(bool)));
}
/**
* Write log and parameter values to the table for the case of a single fit.
* @param table :: [input, output] Table to write to
* @param paramsByLabel :: [input] Map of <label name, <workspace name,
* <parameter, value>>>
* @param paramsToDisplay :: [input] List of parameters to display in table
*/
void MuonAnalysisResultTableCreator::writeDataForSingleFit(
ITableWorkspace_sptr &table,
const QMap<QString, WSParameterList> ¶msByLabel,
const QStringList ¶msToDisplay) const {
assert(!m_multiple);
assert(m_logValues);
for (const auto &wsName : m_items) {
Mantid::API::TableRow row = table->appendRow();
row << wsName.toStdString();
// Get log values for this row
const auto &logValues = m_logValues->value(wsName);
// Write log values in each column
for (int i = 0; i < m_logs.size(); ++i) {
Mantid::API::Column_sptr col = table->getColumn(i);
const auto &log = m_logs[i];
const QVariant &val = logValues[log];
QString valueToWrite;
// Special case: if log is time in sec, subtract the first start time
if (log.endsWith(" (s)")) {
auto seconds =
val.toDouble() - static_cast<double>(m_firstStart_ns) * 1.e-9;
valueToWrite = QString::number(seconds);
} else if (MuonAnalysisHelper::isNumber(val.toString()) &&
!log.endsWith(" (text)")) {
valueToWrite = QString::number(val.toDouble());
} else {
valueToWrite = val.toString();
}
if (MuonAnalysisHelper::isNumber(val.toString()) &&
!log.endsWith(" (text)")) {
row << valueToWrite.toDouble();
} else {
row << valueToWrite.toStdString();
}
}
// Add param values (params same for all workspaces)
QMap<QString, double> paramsList = paramsByLabel.begin()->value(wsName);
for (const auto ¶mName : paramsToDisplay) {
row << paramsList[paramName];
}
}
}
/**
* Sets a new preview spectrum for the mini plot.
*
* @param value workspace index
*/
void ResNorm::previewSpecChanged(int value) {
m_previewSpec = value;
// Update vanadium plot
if (m_uiForm.dsVanadium->isValid())
m_uiForm.ppPlot->addSpectrum(
"Vanadium", m_uiForm.dsVanadium->getCurrentDataName(), m_previewSpec);
// Update fit plot
std::string fitWsGroupName(m_pythonExportWsName + "_Fit_Workspaces");
std::string fitParamsName(m_pythonExportWsName + "_Fit");
if (AnalysisDataService::Instance().doesExist(fitWsGroupName)) {
WorkspaceGroup_sptr fitWorkspaces =
AnalysisDataService::Instance().retrieveWS<WorkspaceGroup>(
fitWsGroupName);
ITableWorkspace_sptr fitParams =
AnalysisDataService::Instance().retrieveWS<ITableWorkspace>(
fitParamsName);
if (fitWorkspaces && fitParams) {
Column_const_sptr scaleFactors = fitParams->getColumn("Scaling");
std::string fitWsName(fitWorkspaces->getItem(m_previewSpec)->name());
MatrixWorkspace_const_sptr fitWs =
AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>(
fitWsName);
MatrixWorkspace_sptr fit = WorkspaceFactory::Instance().create(fitWs, 1);
fit->setX(0, fitWs->readX(1));
fit->getSpectrum(0)->setData(fitWs->readY(1), fitWs->readE(1));
for (size_t i = 0; i < fit->blocksize(); i++)
fit->dataY(0)[i] /= scaleFactors->cell<double>(m_previewSpec);
m_uiForm.ppPlot->addSpectrum("Fit", fit, 0, Qt::red);
}
}
}
/**
* Executes the algorithm.
*/
void LoadTBL::exec() {
std::string filename = getProperty("Filename");
std::ifstream file(filename.c_str());
if (!file) {
throw Exception::FileError("Unable to open file: ", filename);
}
std::string line;
ITableWorkspace_sptr ws = WorkspaceFactory::Instance().createTable();
std::vector<std::string> columnHeadings;
Kernel::Strings::extractToEOL(file, line);
// We want to check if the first line contains an empty string or series of
// ",,,,,"
// to see if we are loading a TBL file that actually contains data or not.
boost::split(columnHeadings, line, boost::is_any_of(","),
boost::token_compress_off);
for (auto entry = columnHeadings.begin(); entry != columnHeadings.end();) {
if (entry->empty()) {
// erase the empty values
entry = columnHeadings.erase(entry);
} else {
// keep any non-empty values
++entry;
}
}
if (columnHeadings.empty()) {
// we have an empty string or series of ",,,,,"
throw std::runtime_error("The file you are trying to load is Empty. \n "
"Please load a non-empty TBL file");
} else {
// set columns back to empty ready to populated with columnHeadings.
columnHeadings.clear();
}
// this will tell us if we need to just fill in the cell values
// or whether we will have to create the column headings as well.
bool isOld = getColumnHeadings(line, columnHeadings);
std::vector<std::string> rowVec;
if (isOld) {
/**THIS IS ESSENTIALLY THE OLD LoadReflTBL CODE**/
// create the column headings
auto colStitch = ws->addColumn("str", "StitchGroup");
auto colRuns = ws->addColumn("str", "Run(s)");
auto colTheta = ws->addColumn("str", "ThetaIn");
auto colTrans = ws->addColumn("str", "TransRun(s)");
auto colQmin = ws->addColumn("str", "Qmin");
auto colQmax = ws->addColumn("str", "Qmax");
auto colDqq = ws->addColumn("str", "dq/q");
auto colScale = ws->addColumn("str", "Scale");
auto colOptions = ws->addColumn("str", "Options");
auto colHiddenOptions = ws->addColumn("str", "HiddenOptions");
for (size_t i = 0; i < ws->columnCount(); i++) {
auto col = ws->getColumn(i);
col->setPlotType(0);
}
// we are using the old ReflTBL format
// where all of the entries are on one line
// so we must reset the stream to reread the first line.
std::ifstream file(filename.c_str());
if (!file) {
throw Exception::FileError("Unable to open file: ", filename);
}
std::string line;
int stitchID = 1;
while (Kernel::Strings::extractToEOL(file, line)) {
if (line.empty() || line == ",,,,,,,,,,,,,,,,") {
continue;
}
getCells(line, rowVec, 16, isOld);
const std::string scaleStr = rowVec.at(16);
const std::string stitchStr = boost::lexical_cast<std::string>(stitchID);
// check if the first run in the row has any data associated with it
// 0 = runs, 1 = theta, 2 = trans, 3 = qmin, 4 = qmax
if (!rowVec[0].empty() || !rowVec[1].empty() || !rowVec[2].empty() ||
!rowVec[3].empty() || !rowVec[4].empty()) {
TableRow row = ws->appendRow();
row << stitchStr;
for (int i = 0; i < 5; ++i) {
row << rowVec.at(i);
}
row << rowVec.at(15);
row << scaleStr;
}
// check if the second run in the row has any data associated with it
// 5 = runs, 6 = theta, 7 = trans, 8 = qmin, 9 = qmax
if (!rowVec[5].empty() || !rowVec[6].empty() || !rowVec[7].empty() ||
!rowVec[8].empty() || !rowVec[9].empty()) {
TableRow row = ws->appendRow();
row << stitchStr;
for (int i = 5; i < 10; ++i) {
row << rowVec.at(i);
}
row << rowVec.at(15);
row << scaleStr;
}
// check if the third run in the row has any data associated with it
// 10 = runs, 11 = theta, 12 = trans, 13 = qmin, 14 = qmax
if (!rowVec[10].empty() || !rowVec[11].empty() || !rowVec[12].empty() ||
!rowVec[13].empty() || !rowVec[14].empty()) {
TableRow row = ws->appendRow();
row << stitchStr;
for (int i = 10; i < 17; ++i) {
if (i == 16)
row << scaleStr;
else
row << rowVec.at(i);
}
}
++stitchID;
setProperty("OutputWorkspace", ws);
}
} else {
// we have a TBL format that contains column headings
// on the first row. These are now entries in the columns vector
if (!columnHeadings.empty()) {
// now we need to add the custom column headings from
// the columns vector to the TableWorkspace
for (auto heading = columnHeadings.begin();
heading != columnHeadings.end();) {
if (heading->empty()) {
// there is no need to have empty column headings.
heading = columnHeadings.erase(heading);
} else {
Mantid::API::Column_sptr col;
col = ws->addColumn("str", *heading);
col->setPlotType(0);
heading++;
}
}
}
size_t expectedCommas = columnHeadings.size() - 1;
while (Kernel::Strings::extractToEOL(file, line)) {
if (line.empty() || line == ",,,,,,,,,,,,,,,,") {
// skip over any empty lines
continue;
}
getCells(line, rowVec, columnHeadings.size() - 1, isOld);
// populate the columns with their values for this row.
TableRow row = ws->appendRow();
for (size_t i = 0; i < expectedCommas + 1; ++i) {
row << rowVec.at(i);
}
}
setProperty("OutputWorkspace", ws);
}
}
//----------------------------------------------------------------------------------------------
/// Run the algorithm
void QueryMDWorkspace::exec() {
// Extract the required normalisation.
std::string strNormalisation = getPropertyValue("Normalisation");
MDNormalization requestedNormalisation = whichNormalisation(strNormalisation);
IMDWorkspace_sptr input = getProperty("InputWorkspace");
const bool transformCoordsToOriginal = getProperty("TransformCoordsToOriginal");
// Define a table workspace with a specific column schema.
ITableWorkspace_sptr output = WorkspaceFactory::Instance().createTable();
const std::string signalColumnName = "Signal/" + strNormalisation;
const std::string errorColumnName = "Error/" + strNormalisation;
output->addColumn("double", signalColumnName);
output->addColumn("double", errorColumnName);
output->addColumn("int", "Number of Events");
const size_t ndims = input->getNumDims();
for (size_t index = 0; index < ndims; ++index) {
Mantid::Geometry::IMDDimension_const_sptr dim = input->getDimension(index);
std::string dimInUnit = dim->getName() + "/" + dim->getUnits().ascii();
output->addColumn("double", dimInUnit);
// Magic numbers required to configure the X axis.
output->getColumn(dimInUnit)->setPlotType(1);
}
// Magic numbers required to configure the Y axis.
output->getColumn(signalColumnName)->setPlotType(2);
output->getColumn(errorColumnName)->setPlotType(5);
IMDIterator *it = input->createIterator();
it->setNormalization(requestedNormalisation);
bool bLimitRows = getProperty("LimitRows");
int maxRows = 0;
if (bLimitRows) {
maxRows = getProperty("MaximumRows");
}
// Use the iterator to loop through each MDBoxBase and create a row for each
// entry.
int rowCounter = 0;
Progress progress(this, 0, 1, int64_t(input->getNPoints()));
while (true) {
size_t cellIndex = 0;
output->appendRow();
output->cell<double>(rowCounter, cellIndex++) = it->getNormalizedSignal();
output->cell<double>(rowCounter, cellIndex++) = it->getNormalizedError();
output->cell<int>(rowCounter, cellIndex++) = int(it->getNumEvents());
VMD center = it->getCenter();
const size_t numberOriginal = input->getNumberTransformsToOriginal();
if (transformCoordsToOriginal && numberOriginal > 0) {
const size_t index = numberOriginal - 1;
CoordTransform const *transform = input->getTransformToOriginal(index);
VMD temp = transform->applyVMD(center);
center = temp;
}
for (size_t index = 0; index < ndims; ++index) {
output->cell<double>(rowCounter, cellIndex++) = center[index];
}
progress.report();
if (!it->next() || (bLimitRows && ((rowCounter + 1) >= maxRows))) {
break;
}
rowCounter++;
}
setProperty("OutputWorkspace", output);
delete it;
//
IMDEventWorkspace_sptr mdew;
CALL_MDEVENT_FUNCTION(this->getBoxData, input);
}
/**
* Write log and parameter values to the table for the case of multiple fits.
* @param table :: [input, output] Table to write to
* @param paramsByLabel :: [input] Map of <label name, <workspace name,
* <parameter, value>>>
* @param paramsToDisplay :: [input] List of parameters to display in table
*/
void MuonAnalysisResultTableCreator::writeDataForMultipleFits(
ITableWorkspace_sptr &table,
const QMap<QString, WSParameterList> ¶msByLabel,
const QStringList ¶msToDisplay) const {
assert(m_multiple);
assert(m_logValues);
// Add data to table
for (const auto &labelName : m_items) {
Mantid::API::TableRow row = table->appendRow();
size_t columnIndex(0); // Which column we are writing to
row << labelName.toStdString();
columnIndex++;
// Get log values for this row and write in table
for (const auto &log : m_logs) {
QStringList valuesPerWorkspace;
for (const auto &wsName : paramsByLabel[labelName].keys()) {
const auto &logValues = m_logValues->value(wsName);
const auto &val = logValues[log];
auto dashIndex = val.toString().indexOf("-");
// Special case: if log is time in sec, subtract the first start time
if (log.endsWith(" (s)")) {
auto seconds =
val.toDouble() - static_cast<double>(m_firstStart_ns) * 1.e-9;
valuesPerWorkspace.append(QString::number(seconds));
} else if (dashIndex != 0 && dashIndex != -1) {
valuesPerWorkspace.append(logValues[log].toString());
} else if (MuonAnalysisHelper::isNumber(val.toString()) &&
!log.endsWith(" (text)")) {
valuesPerWorkspace.append(QString::number(val.toDouble()));
} else {
valuesPerWorkspace.append(logValues[log].toString());
}
}
// Range of values - use string comparison as works for numbers too
// Why not use std::minmax_element? To avoid MSVC warning: QT bug 41092
// (https://bugreports.qt.io/browse/QTBUG-41092)
valuesPerWorkspace.sort();
auto dashIndex =
valuesPerWorkspace.front().toStdString().find_first_of("-");
if (dashIndex != std::string::npos && dashIndex != 0) {
std::ostringstream oss;
auto dad = valuesPerWorkspace.front().toStdString();
oss << valuesPerWorkspace.front().toStdString();
row << oss.str();
} else {
if (MuonAnalysisHelper::isNumber(valuesPerWorkspace.front())) {
const auto &min = valuesPerWorkspace.front().toDouble();
const auto &max = valuesPerWorkspace.back().toDouble();
if (min == max) {
row << min;
} else {
std::ostringstream oss;
oss << valuesPerWorkspace.front().toStdString() << "-"
<< valuesPerWorkspace.back().toStdString();
row << oss.str();
}
} else {
const auto &front = valuesPerWorkspace.front().toStdString();
const auto &back = valuesPerWorkspace.back().toStdString();
if (front == back) {
row << front;
} else {
std::ostringstream oss;
oss << valuesPerWorkspace[0].toStdString();
for (int k = 1; k < valuesPerWorkspace.size(); k++) {
oss << ", " << valuesPerWorkspace[k].toStdString();
row << oss.str();
}
}
}
}
columnIndex++;
}
// Parse column name - could be param name or f[n].param
const auto parseColumnName =
[¶msToDisplay](
const std::string &columnName) -> std::pair<int, std::string> {
if (paramsToDisplay.contains(QString::fromStdString(columnName))) {
return {0, columnName};
} else {
// column name is f[n].param
size_t pos = columnName.find_first_of('.');
if (pos != std::string::npos) {
try {
const auto ¶mName = columnName.substr(pos + 1);
const auto wsIndex = std::stoi(columnName.substr(1, pos));
return {wsIndex, paramName};
} catch (const std::exception &ex) {
throw std::runtime_error("Failed to parse column name " +
columnName + ": " + ex.what());
}
} else {
throw std::runtime_error("Failed to parse column name " + columnName);
}
}
};
// Add param values
const auto ¶ms = paramsByLabel[labelName];
while (columnIndex < table->columnCount()) {
const auto &parsedColName =
parseColumnName(table->getColumn(columnIndex)->name());
const QString wsName = params.keys().at(parsedColName.first);
const QString ¶mName = QString::fromStdString(parsedColName.second);
row << params[wsName].value(paramName);
columnIndex++;
}
}
}
