/**
* Load a slab of double data into a bare array.
* Checks that the size is correct.
* @param name
* @param data bare pointer to double array
* @param ws
* @param dataType
*/
void LoadMD::loadSlab(std::string name, void *data, MDHistoWorkspace_sptr ws,
NeXus::NXnumtype dataType) {
m_file->openData(name);
if (m_file->getInfo().type != dataType)
throw std::runtime_error("Unexpected data type for '" + name +
"' data set.'");
int nPoints = 1;
size_t numDims = m_file->getInfo().dims.size();
std::vector<int> size(numDims);
for (size_t d = 0; d < numDims; d++) {
nPoints *= static_cast<int>(m_file->getInfo().dims[d]);
size[d] = static_cast<int>(m_file->getInfo().dims[d]);
}
if (nPoints != static_cast<int>(ws->getNPoints()))
throw std::runtime_error(
"Inconsistency between the number of points in '" + name +
"' and the number of bins defined by the dimensions.");
std::vector<int> start(numDims, 0);
try {
m_file->getSlab(data, start, size);
} catch (...) {
std::cout << " start: " << start[0] << " size: " << size[0] << '\n';
}
m_file->closeData();
}
/** Execute the algorithm.
*/
void TransformMD::exec() {
Mantid::API::IMDWorkspace_sptr inWS;
Mantid::API::IMDWorkspace_sptr outWS;
inWS = getProperty("InputWorkspace");
outWS = getProperty("OutputWorkspace");
std::string outName = getPropertyValue("OutputWorkspace");
if (boost::dynamic_pointer_cast<MatrixWorkspace>(inWS))
throw std::runtime_error("TransformMD can only transform a "
"MDHistoWorkspace or a MDEventWorkspace.");
if (outWS != inWS) {
// NOT in-place. So first we clone inWS into outWS
IAlgorithm_sptr clone =
this->createChildAlgorithm("CloneMDWorkspace", 0.0, 0.5, true);
clone->setProperty("InputWorkspace", inWS);
clone->executeAsChildAlg();
outWS = clone->getProperty("OutputWorkspace");
}
if (!outWS)
throw std::runtime_error("Invalid output workspace.");
size_t nd = outWS->getNumDims();
m_scaling = getProperty("Scaling");
m_offset = getProperty("Offset");
// Replicate single values
if (m_scaling.size() == 1)
m_scaling = std::vector<double>(nd, m_scaling[0]);
if (m_offset.size() == 1)
m_offset = std::vector<double>(nd, m_offset[0]);
// Check the size
if (m_scaling.size() != nd)
throw std::invalid_argument("Scaling argument must be either length 1 or "
"match the number of dimensions.");
if (m_offset.size() != nd)
throw std::invalid_argument("Offset argument must be either length 1 or "
"match the number of dimensions.");
// Transform the dimensions
outWS->transformDimensions(m_scaling, m_offset);
MDHistoWorkspace_sptr histo =
boost::dynamic_pointer_cast<MDHistoWorkspace>(outWS);
IMDEventWorkspace_sptr event =
boost::dynamic_pointer_cast<IMDEventWorkspace>(outWS);
if (histo) {
// Recalculate all the values since the dimensions changed.
histo->cacheValues();
if (m_scaling[0] < 0.0) {
signal_t *signals = histo->getSignalArray();
signal_t *errorsSq = histo->getErrorSquaredArray();
this->reverse(signals, histo->getNPoints());
this->reverse(errorsSq, histo->getNPoints());
}
this->setProperty("OutputWorkspace", histo);
} else if (event) {
// Call the method for this type of MDEventWorkspace.
CALL_MDEVENT_FUNCTION(this->doTransform, outWS);
Progress *prog2 = NULL;
ThreadScheduler *ts = new ThreadSchedulerFIFO();
ThreadPool tp(ts, 0, prog2);
event->splitAllIfNeeded(ts);
// prog2->resetNumSteps( ts->size(), 0.4, 0.6);
tp.joinAll();
event->refreshCache();
// Set the special coordinate system.
IMDEventWorkspace_sptr inEvent =
boost::dynamic_pointer_cast<IMDEventWorkspace>(inWS);
event->setCoordinateSystem(inEvent->getSpecialCoordinateSystem());
if (m_scaling[0] < 0) {
// Only need these 2 algorithms for transforming with negative number
std::vector<double> extents;
std::vector<std::string> names, units;
for (size_t d = 0; d < nd; d++) {
Geometry::IMDDimension_const_sptr dim = event->getDimension(d);
// Find the extents
extents.push_back(dim->getMinimum());
extents.push_back(dim->getMaximum());
names.push_back(std::string(dim->getName()));
units.push_back(dim->getUnits());
}
Algorithm_sptr create_alg = createChildAlgorithm("CreateMDWorkspace");
create_alg->setProperty("Dimensions", static_cast<int>(nd));
create_alg->setProperty("EventType", event->getEventTypeName());
create_alg->setProperty("Extents", extents);
create_alg->setProperty("Names", names);
create_alg->setProperty("Units", units);
create_alg->setPropertyValue("OutputWorkspace", "__none");
create_alg->executeAsChildAlg();
Workspace_sptr none = create_alg->getProperty("OutputWorkspace");
AnalysisDataService::Instance().addOrReplace(outName, event);
AnalysisDataService::Instance().addOrReplace("__none", none);
Mantid::API::BoxController_sptr boxController = event->getBoxController();
std::vector<int> splits;
for (size_t d = 0; d < nd; d++) {
splits.push_back(static_cast<int>(boxController->getSplitInto(d)));
}
Algorithm_sptr merge_alg = createChildAlgorithm("MergeMD");
merge_alg->setPropertyValue("InputWorkspaces", outName + ",__none");
merge_alg->setProperty("SplitInto", splits);
merge_alg->setProperty(
"SplitThreshold",
static_cast<int>(boxController->getSplitThreshold()));
merge_alg->setProperty("MaxRecursionDepth", 13);
merge_alg->executeAsChildAlg();
event = merge_alg->getProperty("OutputWorkspace");
AnalysisDataService::Instance().remove("__none");
}
this->setProperty("OutputWorkspace", event);
}
}
