/**
Make dimensions from the currently selected input workspace. Also fills
the inputs with default values.
@param propertyPrefix: The prefix for the property in the algorithm, i.e.
AxisAligned.
@param owningLayout: The layout that will take ownership of the widgets once
generated.
@param format: function pointer to the formatting function
@param history : Whether to remember of forget property history.
*/
void SlicingAlgorithmDialog::makeDimensionInputs(
const QString &propertyPrefix, QLayout *owningLayout,
QString (*format)(IMDDimension_const_sptr), History history) {
// Remove excess dimensions from the tied properties and the stored property
// values
size_t indexRemoved = 0;
QString propertyNameRemoved = propertyPrefix;
propertyNameRemoved.append(QString().number(indexRemoved));
Mantid::Kernel::Property *propertyRemoved =
getAlgorithmProperty(propertyNameRemoved);
while (propertyRemoved) {
untie(propertyNameRemoved);
removePropertyValue(propertyNameRemoved);
indexRemoved++;
propertyNameRemoved = propertyPrefix;
propertyNameRemoved.append(QString().number(indexRemoved));
propertyRemoved = getAlgorithmProperty(propertyNameRemoved);
}
const QString &txt = getCurrentInputWorkspaceName();
if (!txt.isEmpty()) {
IMDWorkspace_sptr ws = boost::dynamic_pointer_cast<IMDWorkspace>(
AnalysisDataService::Instance().retrieve(txt.toStdString()));
size_t nDimensions = ws->getNumDims();
for (size_t index = 0; index < nDimensions; ++index) {
Mantid::Geometry::IMDDimension_const_sptr dim = ws->getDimension(index);
// Configure the label
QString propertyName = propertyPrefix;
propertyName.append(QString().number(index));
QLabel *dimensionLabel = new QLabel(propertyName);
// Configure the default input.
const QString dimensionInfo = format(dim);
QLineEdit *txtDimension = new QLineEdit(dimensionInfo);
// Create a widget to contain the dimension components.
QHBoxLayout *layout = new QHBoxLayout;
QWidget *w = new QWidget;
w->setLayout(layout);
tie(txtDimension, propertyName, layout, (history == Remember));
// Add components to the layout.
layout->addWidget(dimensionLabel);
layout->addWidget(txtDimension);
owningLayout->addWidget(w);
}
}
}
/**
* Load all of the affine matrices from the file, create the
* appropriate coordinate transform and set those on the workspace.
* @param ws : workspace to set the coordinate transforms on
*/
void LoadMD::loadAffineMatricies(IMDWorkspace_sptr ws) {
std::map<std::string, std::string> entries;
m_file->getEntries(entries);
if (entries.find("transform_to_orig") != entries.end()) {
CoordTransform *transform = this->loadAffineMatrix("transform_to_orig");
ws->setTransformToOriginal(transform);
}
if (entries.find("transform_from_orig") != entries.end()) {
CoordTransform *transform = this->loadAffineMatrix("transform_from_orig");
ws->setTransformFromOriginal(transform);
}
}
MantidMDCurveDialog::MantidMDCurveDialog(QWidget *parent, QString wsName)
: QDialog(parent), m_wsName(wsName) {
ui.setupUi(this);
m_lineOptions = new LinePlotOptions(this);
ui.mainLayout->insertWidget(0, m_lineOptions);
// To set the right dimension labels
IMDWorkspace_sptr ws = boost::dynamic_pointer_cast<IMDWorkspace>(
AnalysisDataService::Instance().retrieve(m_wsName.toStdString()));
if (ws) {
// Retrieve the original workspace. Prefer the "intermediate" one if
// available.
if (ws->hasOriginalWorkspace())
ws = boost::dynamic_pointer_cast<IMDWorkspace>(
ws->getOriginalWorkspace(ws->numOriginalWorkspaces() - 1));
if (ws)
m_lineOptions->setOriginalWorkspace(ws);
}
// Connect the button slots
QMetaObject::connectSlotsByName(this);
}
std::map<std::string, std::string> MaskMD::validateInputs() {
// Create the map
std::map<std::string, std::string> validation_output;
// Get properties to validate
IMDWorkspace_sptr ws = getProperty("Workspace");
std::string dimensions_string = getPropertyValue("Dimensions");
std::vector<double> extents = getProperty("Extents");
std::vector<std::string> dimensions = parseDimensionNames(dimensions_string);
std::stringstream messageStream;
// Check named dimensions can be found in workspace
for (const auto &dimension_name : dimensions) {
try {
tryFetchDimensionIndex(ws, dimension_name);
} catch (const std::runtime_error &) {
messageStream << "Dimension '" << dimension_name << "' not found. ";
}
}
if (messageStream.rdbuf()->in_avail() != 0) {
validation_output["Dimensions"] = messageStream.str();
messageStream.str(std::string());
}
size_t nDims = ws->getNumDims();
size_t nDimensionIds = dimensions.size();
// Check cardinality on names/ids
if (nDimensionIds % nDims != 0) {
messageStream << "Number of dimension ids/names must be n * " << nDims
<< ". The following names were given: ";
for (const auto &name : dimensions) {
messageStream << name << ", ";
}
validation_output["Dimensions"] = messageStream.str();
messageStream.str(std::string());
}
// Check cardinality on extents
if (extents.size() != (2 * dimensions.size())) {
messageStream << "Number of extents must be " << 2 * dimensions.size()
<< ". ";
validation_output["Extents"] = messageStream.str();
}
// Check extent value provided.
for (size_t i = 0; (i < nDimensionIds) && ((i * 2 + 1) < extents.size());
++i) {
double min = extents[i * 2];
double max = extents[(i * 2) + 1];
if (min > max) {
messageStream << "Cannot have minimum extents " << min
<< " larger than maximum extents " << max << ". ";
validation_output["Extents"] = messageStream.str();
}
}
return validation_output;
}
/** Execute the algorithm.
*/
void MaskMD::exec() {
IMDWorkspace_sptr ws = getProperty("Workspace");
std::string dimensions_string = getPropertyValue("Dimensions");
std::vector<double> extents = getProperty("Extents");
// Dimension names may contain brackets with commas (i.e. [H,0,0])
// so getProperty would return an incorrect vector of names;
// instead get the string and parse it here
std::vector<std::string> dimensions = parseDimensionNames(dimensions_string);
// Report what dimension names were found
g_log.debug() << "Dimension names parsed as: \n";
for (const auto &name : dimensions) {
g_log.debug() << name << '\n';
}
size_t nDims = ws->getNumDims();
size_t nDimensionIds = dimensions.size();
size_t nGroups = nDimensionIds / nDims;
bool bClearExistingMasks = getProperty("ClearExistingMasks");
if (bClearExistingMasks) {
ws->clearMDMasking();
}
this->interruption_point();
this->progress(0.0);
// Explicitly cast nGroups and group to double to avoid compiler warnings
// loss of precision does not matter as we are only using the result
// for reporting algorithm progress
const double nGroups_double = static_cast<double>(nGroups);
// Loop over all groups
for (size_t group = 0; group < nGroups; ++group) {
std::vector<InputArgument> arguments(nDims);
// Loop over all arguments within the group. and construct InputArguments
// for sorting.
for (size_t i = 0; i < nDims; ++i) {
size_t index = i + (group * nDims);
InputArgument &arg = arguments[i];
// Try to get the index of the dimension in the workspace.
arg.index = tryFetchDimensionIndex(ws, dimensions[index]);
arg.min = extents[index * 2];
arg.max = extents[(index * 2) + 1];
}
// Sort all the inputs by the dimension index. Without this it will not be
// possible to construct the MDImplicit function property.
LessThanIndex comparator;
std::sort(arguments.begin(), arguments.end(), comparator);
// Create inputs for a box implicit function
VMD mins(nDims);
VMD maxs(nDims);
for (size_t i = 0; i < nDims; ++i) {
mins[i] = float(arguments[i].min);
maxs[i] = float(arguments[i].max);
}
// Add new masking.
ws->setMDMasking(new MDBoxImplicitFunction(mins, maxs));
this->interruption_point();
double group_double = static_cast<double>(group);
this->progress(group_double / nGroups_double);
}
this->progress(1.0); // Ensure algorithm progress is reported as complete
}
//----------------------------------------------------------------------------------------------
/// 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);
}
/** Execute the algorithm.
*/
void MaskMD::exec() {
IMDWorkspace_sptr ws = getProperty("Workspace");
std::vector<std::string> dimensions = getProperty("Dimensions");
std::vector<double> extents = getProperty("Extents");
size_t nDims = ws->getNumDims();
size_t nDimensionIds = dimensions.size();
std::stringstream messageStream;
// Check cardinality on names/ids
if (nDimensionIds % nDims != 0) {
messageStream << "Number of dimension ids/names must be n * " << nDims;
this->g_log.error(messageStream.str());
throw std::invalid_argument(messageStream.str());
}
// Check cardinality on extents
if (extents.size() != (2 * dimensions.size())) {
messageStream << "Number of extents must be " << 2 * dimensions.size();
this->g_log.error(messageStream.str());
throw std::invalid_argument(messageStream.str());
}
// Check extent value provided.
for (size_t i = 0; i < nDimensionIds; ++i) {
double min = extents[i * 2];
double max = extents[(i * 2) + 1];
if (min > max) {
messageStream << "Cannot have minimum extents " << min
<< " larger than maximum extents " << max;
this->g_log.error(messageStream.str());
throw std::invalid_argument(messageStream.str());
}
}
size_t nGroups = nDimensionIds / nDims;
bool bClearExistingMasks = getProperty("ClearExistingMasks");
if (bClearExistingMasks) {
ws->clearMDMasking();
}
// Loop over all groups
for (size_t group = 0; group < nGroups; ++group) {
std::vector<InputArgument> arguments(nDims);
// Loop over all arguments within the group. and construct InputArguments
// for sorting.
for (size_t i = 0; i < nDims; ++i) {
size_t index = i + (group * nDims);
InputArgument &arg = arguments[i];
// Try to get the index of the dimension in the workspace.
arg.index = tryFetchDimensionIndex(ws, dimensions[index]);
arg.min = extents[index * 2];
arg.max = extents[(index * 2) + 1];
}
// Sort all the inputs by the dimension index. Without this it will not be
// possible to construct the MDImplicit function propertly.
LessThanIndex comparitor;
std::sort(arguments.begin(), arguments.end(), comparitor);
// Create inputs for a box implicit function
VMD mins(nDims);
VMD maxs(nDims);
for (size_t i = 0; i < nDims; ++i) {
mins[i] = float(arguments[i].min);
maxs[i] = float(arguments[i].max);
}
// Add new masking.
ws->setMDMasking(new MDBoxImplicitFunction(mins, maxs));
}
}
