/** Executes the algorithm
*@param localworkspace :: the input workspace
*@param indices :: set of indices to sum up
*/
void SumSpectra::execEvent(EventWorkspace_const_sptr localworkspace,
std::set<int> &indices) {
auto outputWorkspace = create<EventWorkspace>(*localworkspace, 1);
Progress progress(this, 0, 1, indices.size());
// Get the pointer to the output event list
EventList &outEL = outputWorkspace->getSpectrum(0);
outEL.setSpectrumNo(m_outSpecNum);
outEL.clearDetectorIDs();
const auto &spectrumInfo = localworkspace->spectrumInfo();
// Loop over spectra
size_t numSpectra(0);
size_t numMasked(0);
size_t numZeros(0);
for (const auto i : indices) {
// Don't go outside the range.
if ((i >= m_numberOfSpectra) || (i < 0)) {
g_log.error() << "Invalid index " << i
<< " was specified. Sum was aborted.\n";
break;
}
if (spectrumInfo.hasDetectors(i)) {
// Skip monitors, if the property is set to do so
if (!m_keepMonitors && spectrumInfo.isMonitor(i))
continue;
// Skip masked detectors
if (spectrumInfo.isMasked(i)) {
numMasked++;
continue;
}
}
numSpectra++;
// Add the event lists with the operator
const EventList &tOutEL = localworkspace->getSpectrum(i);
if (tOutEL.empty()) {
++numZeros;
}
outEL += tOutEL;
progress.report();
}
outputWorkspace->mutableRun().addProperty("NumAllSpectra", int(numSpectra),
"", true);
outputWorkspace->mutableRun().addProperty("NumMaskSpectra", int(numMasked),
"", true);
outputWorkspace->mutableRun().addProperty("NumZeroSpectra", int(numZeros), "",
true);
// Assign it to the output workspace property
setProperty("OutputWorkspace", std::move(outputWorkspace));
}
int main(void)
{
int n;
while (scanf("%d", &n) != EOF) {
printf("%d\n", numZeros(n));
}
return 0;
}
/** Executes the algorithm
*@param localworkspace :: the input workspace
*@param indices :: set of indices to sum up
*/
void SumSpectra::execEvent(EventWorkspace_const_sptr localworkspace,
std::set<int> &indices) {
// Make a brand new EventWorkspace
EventWorkspace_sptr outputWorkspace =
boost::dynamic_pointer_cast<EventWorkspace>(
API::WorkspaceFactory::Instance().create("EventWorkspace", 1, 2, 1));
// Copy geometry over.
API::WorkspaceFactory::Instance().initializeFromParent(localworkspace,
outputWorkspace, true);
Progress progress(this, 0, 1, indices.size());
// Get the pointer to the output event list
EventList &outEL = outputWorkspace->getEventList(0);
outEL.setSpectrumNo(m_outSpecId);
outEL.clearDetectorIDs();
// Loop over spectra
std::set<int>::iterator it;
size_t numSpectra(0);
size_t numMasked(0);
size_t numZeros(0);
// for (int i = m_minSpec; i <= m_maxSpec; ++i)
for (it = indices.begin(); it != indices.end(); ++it) {
int i = *it;
// Don't go outside the range.
if ((i >= m_numberOfSpectra) || (i < 0)) {
g_log.error() << "Invalid index " << i
<< " was specified. Sum was aborted.\n";
break;
}
try {
// Get the detector object for this spectrum
Geometry::IDetector_const_sptr det = localworkspace->getDetector(i);
// Skip monitors, if the property is set to do so
if (!m_keepMonitors && det->isMonitor())
continue;
// Skip masked detectors
if (det->isMasked()) {
numMasked++;
continue;
}
} catch (...) {
// if the detector not found just carry on
}
numSpectra++;
// Add the event lists with the operator
const EventList &tOutEL = localworkspace->getEventList(i);
if (tOutEL.empty()) {
++numZeros;
}
outEL += tOutEL;
progress.report();
}
// Set all X bins on the output
cow_ptr<MantidVec> XValues;
XValues.access() = localworkspace->readX(0);
outputWorkspace->setAllX(XValues);
outputWorkspace->mutableRun().addProperty("NumAllSpectra", int(numSpectra),
"", true);
outputWorkspace->mutableRun().addProperty("NumMaskSpectra", int(numMasked),
"", true);
outputWorkspace->mutableRun().addProperty("NumZeroSpectra", int(numZeros), "",
true);
// Assign it to the output workspace property
setProperty("OutputWorkspace",
boost::dynamic_pointer_cast<MatrixWorkspace>(outputWorkspace));
}
void test_numZeros()
{
printf("how many zeros? (%d)\n", numZeros(100));
}
/** Executes the algorithm
*
*/
void SumSpectra::exec()
{
// Try and retrieve the optional properties
m_MinSpec = getProperty("StartWorkspaceIndex");
m_MaxSpec = getProperty("EndWorkspaceIndex");
const std::vector<int> indices_list = getProperty("ListOfWorkspaceIndices");
keepMonitors = getProperty("IncludeMonitors");
// Get the input workspace
MatrixWorkspace_const_sptr localworkspace = getProperty("InputWorkspace");
numberOfSpectra = static_cast<int>(localworkspace->getNumberHistograms());
this->yLength = static_cast<int>(localworkspace->blocksize());
// Check 'StartSpectrum' is in range 0-numberOfSpectra
if ( m_MinSpec > numberOfSpectra )
{
g_log.warning("StartWorkspaceIndex out of range! Set to 0.");
m_MinSpec = 0;
}
if (indices_list.empty())
{
//If no list was given and no max, just do all.
if ( isEmpty(m_MaxSpec) ) m_MaxSpec = numberOfSpectra-1;
}
//Something for m_MaxSpec was given but it is out of range?
if (!isEmpty(m_MaxSpec) && ( m_MaxSpec > numberOfSpectra-1 || m_MaxSpec < m_MinSpec ))
{
g_log.warning("EndWorkspaceIndex out of range! Set to max Workspace Index");
m_MaxSpec = numberOfSpectra;
}
//Make the set of indices to sum up from the list
this->indices.insert(indices_list.begin(), indices_list.end());
//And add the range too, if any
if (!isEmpty(m_MaxSpec))
{
for (int i = m_MinSpec; i <= m_MaxSpec; i++)
this->indices.insert(i);
}
//determine the output spectrum id
m_outSpecId = this->getOutputSpecId(localworkspace);
g_log.information() << "Spectra remapping gives single spectra with spectra number: "
<< m_outSpecId << "\n";
m_CalculateWeightedSum = getProperty("WeightedSum");
EventWorkspace_const_sptr eventW = boost::dynamic_pointer_cast<const EventWorkspace>(localworkspace);
if (eventW)
{
m_CalculateWeightedSum = false;
this->execEvent(eventW, this->indices);
}
else
{
//-------Workspace 2D mode -----
// Create the 2D workspace for the output
MatrixWorkspace_sptr outputWorkspace = API::WorkspaceFactory::Instance().create(localworkspace,
1,localworkspace->readX(0).size(),this->yLength);
size_t numSpectra(0); // total number of processed spectra
size_t numMasked(0); // total number of the masked and skipped spectra
size_t numZeros(0); // number of spectra which have 0 value in the first column (used in special cases of evaluating how good Puasonian statistics is)
Progress progress(this, 0, 1, this->indices.size());
// This is the (only) output spectrum
ISpectrum * outSpec = outputWorkspace->getSpectrum(0);
// Copy over the bin boundaries
outSpec->dataX() = localworkspace->readX(0);
//Build a new spectra map
outSpec->setSpectrumNo(m_outSpecId);
outSpec->clearDetectorIDs();
if (localworkspace->id() == "RebinnedOutput")
{
this->doRebinnedOutput(outputWorkspace, progress,numSpectra,numMasked,numZeros);
}
else
{
this->doWorkspace2D(localworkspace, outSpec, progress,numSpectra,numMasked,numZeros);
}
// Pointer to sqrt function
MantidVec& YError = outSpec->dataE();
typedef double (*uf)(double);
uf rs=std::sqrt;
//take the square root of all the accumulated squared errors - Assumes Gaussian errors
std::transform(YError.begin(), YError.end(), YError.begin(), rs);
outputWorkspace->generateSpectraMap();
// set up the summing statistics
outputWorkspace->mutableRun().addProperty("NumAllSpectra",int(numSpectra),"",true);
outputWorkspace->mutableRun().addProperty("NumMaskSpectra",int(numMasked),"",true);
outputWorkspace->mutableRun().addProperty("NumZeroSpectra",int(numZeros),"",true);
// Assign it to the output workspace property
setProperty("OutputWorkspace", outputWorkspace);
}
}
