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Code/Mantid/Framework/MDAlgorithms/inc/MantidMDAlgorithms/ConvertToMDEventsEventWS.h
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| #ifndef H_CONVERT_TO_MDEVENTS_EVENTWS | ||
| #define H_CONVERT_TO_MDEVENTS_EVENTWS | ||
| // | ||
| #include "MantidKernel/System.h" | ||
| #include "MantidKernel/Exception.h" | ||
| #include "MantidAPI/Algorithm.h" | ||
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| #include "MantidDataObjects/EventWorkspace.h" | ||
| #include "MantidDataObjects/Workspace2D.h" | ||
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| #include "MantidAPI/NumericAxis.h" | ||
| #include "MantidAPI/Progress.h" | ||
| #include "MantidKernel/PhysicalConstants.h" | ||
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| #include "MantidMDEvents/MDEventWSWrapper.h" | ||
| #include "MantidMDEvents/MDEvent.h" | ||
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| #include "MantidMDAlgorithms/IConvertToMDEventsMethods.h" | ||
| #include "MantidMDAlgorithms/ConvertToMDEventsDetInfo.h" | ||
| #include "MantidMDAlgorithms/ConvertToMDEventsCoordTransf.h" | ||
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| namespace Mantid | ||
| { | ||
| namespace MDAlgorithms | ||
| { | ||
| /** The macrodefinitions for ConvertToMDEvents function, making the conversion from into the MD events | ||
| * | ||
| * @date 11-10-2011 | ||
| Copyright © 2010 ISIS Rutherford Appleton Laboratory & NScD Oak Ridge National Laboratory | ||
| This file is part of Mantid. | ||
| Mantid is free software; you can redistribute it and/or modify | ||
| it under the terms of the GNU General Public License as published by | ||
| the Free Software Foundation; either version 3 of the License, or | ||
| (at your option) any later version. | ||
| Mantid is distributed in the hope that it will be useful, | ||
| but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
| GNU General Public License for more details. | ||
| You should have received a copy of the GNU General Public License | ||
| along with this program. If not, see <http://www.gnu.org/licenses/>. | ||
| File/ change history is stored at: <https://svn.mantidproject.org/mantid/trunk/Code/Mantid> | ||
| Code Documentation is available at: <http://doxygen.mantidproject.org> | ||
| */ | ||
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| // service variable used for efficient filling of the MD event WS -> should be moved to configuration; | ||
| #define SPLIT_LEVEL 2048 | ||
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| //----------------------------------------------- | ||
| //// Class to process event workspace by rebinning | ||
| template<Q_state Q, AnalMode MODE> | ||
| class ConvertToMDEvensEventWSAutoRebin: public IConvertToMDEventsMethods | ||
| { | ||
| /// shalow class which is invoked from processQND procedure and describes the transformation from workspace coordinates to target coordinates | ||
| /// presumably will be completely inlined | ||
| template<Q_state Q, AnalMode MODE, CnvrtUnits CONV,XCoordType XTYPE> | ||
| friend struct COORD_TRANSFORMER; | ||
| // the instanciation of the class which does the transformation itself | ||
| COORD_TRANSFORMER<Q,MODE,ConvFromTOF,Histohram> trn; | ||
| // | ||
| virtual void conversionChunk(){}; | ||
| public: | ||
| size_t setUPConversion(Mantid::API::MatrixWorkspace_sptr pWS2D, const PreprocessedDetectors &detLoc, | ||
| const MDEvents::MDWSDescription &WSD, boost::shared_ptr<MDEvents::MDEventWSWrapper> inWSWrapper) | ||
| { | ||
| size_t numSpec=IConvertToMDEventsMethods::setUPConversion(pWS2D,detLoc,WSD,inWSWrapper); | ||
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| // initiate the templated class which does the conversion of workspace data into MD WS coordinates; | ||
| trn.setUP(this); | ||
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| return numSpec; | ||
| } | ||
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| void runConversion(API::Progress *pProg) | ||
| { | ||
| DataObjects::EventWorkspace_const_sptr pEventWS = boost::static_pointer_cast<const DataObjects::EventWorkspace>(inWS2D); | ||
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| // counder for the number of events | ||
| size_t n_added_events(0); | ||
| // amount of work | ||
| const size_t numSpec = inWS2D->getNumberHistograms(); | ||
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| const size_t specSize = this->inWS2D->blocksize(); | ||
| size_t nValidSpectra = pDetLoc->det_id.size(); | ||
| // copy experiment info into target workspace | ||
| API::ExperimentInfo_sptr ExperimentInfo(inWS2D->cloneExperimentInfo()); | ||
| // run index; | ||
| uint16_t runIndex = this->pWSWrapper->pWorkspace()->addExperimentInfo(ExperimentInfo); | ||
| // number of dimesnions | ||
| std::vector<coord_t> Coord(n_dims); // coordinates for single event | ||
| // if any property dimension is outside of the data range requested, the job is done; | ||
| if(!trn.calcGenericVariables(Coord,n_dims))return; | ||
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| // take at least bufSize amout of data in one run for efficiency | ||
| size_t buf_size = ((specSize>SPLIT_LEVEL)?specSize:SPLIT_LEVEL); | ||
| // allocate temporary buffer for MD Events data | ||
| std::vector<coord_t> allCoord(0); // MD events coordinates buffer | ||
| allCoord.reserve(n_dims*buf_size); | ||
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| std::vector<float> sig_err(2*buf_size); // array for signal and error. | ||
| std::vector<uint16_t> run_index(buf_size); // Buffer run index for each event | ||
| std::vector<uint32_t> det_ids(buf_size); // Buffer of det Id-s for each event | ||
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| for (size_t wi=0; wi < nValidSpectra; wi++) | ||
| { | ||
| size_t ic = pDetLoc->detIDMap[wi]; | ||
| int32_t det_id = pDetLoc->det_id[wi]; | ||
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| const DataObjects::EventList & el = pEventWS->getEventList(ic); | ||
| //size_t numEvents = el.getNumberEvents(); | ||
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| const MantidVec& X = el.dataX(); | ||
| const MantidVec& Signal = el.dataY(); | ||
| const MantidVec& Error = el.dataE(); | ||
| if(!trn.calcYDepCoordinates(Coord,ic))continue; // skip y outsize of the range; | ||
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| //=> START INTERNAL LOOP OVER THE "TIME" | ||
| for (size_t j = 0; j < Signal.size(); ++j) | ||
| { | ||
| // drop emtpy histohrams | ||
| if(Signal[j]<FLT_EPSILON)continue; | ||
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| if(!trn.calcMatrixCoord(X,ic,j,Coord))continue; // skip ND outside the range | ||
| // ADD RESULTING EVENTS TO THE WORKSPACE | ||
| float ErrSq = float(Error[j]*Error[j]); | ||
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| // coppy all data into data buffer for future transformation into events; | ||
| sig_err[2*n_added_events+0]=float(Signal[j]); | ||
| sig_err[2*n_added_events+1]=ErrSq; | ||
| run_index[n_added_events] = runIndex; | ||
| det_ids[n_added_events] = det_id; | ||
| allCoord.insert(allCoord.end(),Coord.begin(),Coord.end()); | ||
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| n_added_events++; | ||
| if(n_added_events>=buf_size){ | ||
| pWSWrapper->addMDData(sig_err,run_index,det_ids,allCoord,n_added_events); | ||
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| n_added_events=0; | ||
| pProg->report(wi); | ||
| } | ||
| } // end spectra loop | ||
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| } // end detectors loop; | ||
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| if(n_added_events>0){ | ||
| pWSWrapper->addMDData(sig_err,run_index,det_ids,allCoord,n_added_events); | ||
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| n_added_events=0; | ||
| } | ||
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| pWSWrapper->pWorkspace()->refreshCache(); | ||
| pProg->report(); | ||
| } | ||
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| }; | ||
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| // Class to process event workspace by direct conversion: | ||
| //template<Q_state Q, AnalMode MODE> | ||
| //class ConvertToMDEvensEventWS: public IConvertToMDEventsMethods | ||
| //{ | ||
| // /// shalow class which is invoked from processQND procedure and describes the transformation from workspace coordinates to target coordinates | ||
| // /// presumably will be completely inlined | ||
| // template<Q_state Q, AnalMode MODE, CnvrtUnits CONV,XCoordType XTYPE> | ||
| // friend struct COORD_TRANSFORMER; | ||
| // // the instanciation of the class which does the transformation itself | ||
| // COORD_TRANSFORMER<Q,MODE,ConvFromTOF,Axis> trn; | ||
| // // | ||
| // public: | ||
| // size_t setUPConversion(Mantid::API::MatrixWorkspace_sptr pWS2D, const PreprocessedDetectors &detLoc, | ||
| // const MDEvents::MDWSDescription &WSD, boost::shared_ptr<MDEvents::MDEventWSWrapper> inWSWrapper) | ||
| // { | ||
| // size_t numSpec=IConvertToMDEventsMethods::setUPConversion(pWS2D,detLoc,WSD,inWSWrapper); | ||
| // | ||
| // // initiate the templated class which does the conversion of workspace data into MD WS coordinates; | ||
| // trn.setUP(this); | ||
| // | ||
| // return numSpec; | ||
| // } | ||
| // | ||
| // void runConversion(API::Progress *pProg) | ||
| // { | ||
| // // counder for the number of events | ||
| // size_t n_added_events(0); | ||
| // // amount of work | ||
| // const size_t numSpec = inWS2D->getNumberHistograms(); | ||
| // | ||
| // | ||
| // const size_t specSize = this->inWS2D->blocksize(); | ||
| // size_t nValidSpectra = pDetLoc->det_id.size(); | ||
| // // copy experiment info into target workspace | ||
| // API::ExperimentInfo_sptr ExperimentInfo(inWS2D->cloneExperimentInfo()); | ||
| // // run index; | ||
| // uint16_t runIndex = this->pWSWrapper->pWorkspace()->addExperimentInfo(ExperimentInfo); | ||
| // // number of dimesnions | ||
| // std::vector<coord_t> Coord(n_dims); // coordinates for single event | ||
| // // if any property dimension is outside of the data range requested, the job is done; | ||
| // if(!trn.calcGenericVariables(Coord,n_dims))return; | ||
| // | ||
| // // take at least bufSize amout of data in one run for efficiency | ||
| // size_t buf_size = ((specSize>SPLIT_LEVEL)?specSize:SPLIT_LEVEL); | ||
| // // allocate temporary buffer for MD Events data | ||
| // std::vector<coord_t> allCoord(0); // MD events coordinates buffer | ||
| // allCoord.reserve(n_dims*buf_size); | ||
| // | ||
| // std::vector<float> sig_err(2*buf_size); // array for signal and error. | ||
| // std::vector<uint16_t> run_index(buf_size); // Buffer run index for each event | ||
| // std::vector<uint32_t> det_ids(buf_size); // Buffer of det Id-s for each event | ||
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| // | ||
| // //// Equivalent of: this->convertEventList(wi); | ||
| // //EventList & el = in_ws->getEventList(wi); | ||
| // | ||
| // //// We want to bind to the right templated function, so we have to know the type of TofEvent contained in the EventList. | ||
| // //boost::function<void ()> func; | ||
| // //switch (el.getEventType()) | ||
| // //{ | ||
| // //case TOF: | ||
| // // func = boost::bind(&ConvertToDiffractionMDWorkspace::convertEventList<TofEvent>, &*this, static_cast<int>(wi)); | ||
| // // break; | ||
| // //case WEIGHTED: | ||
| // // func = boost::bind(&ConvertToDiffractionMDWorkspace::convertEventList<WeightedEvent>, &*this, static_cast<int>(wi)); | ||
| // // break; | ||
| // //case WEIGHTED_NOTIME: | ||
| // // func = boost::bind(&ConvertToDiffractionMDWorkspace::convertEventList<WeightedEventNoTime>, &*this, static_cast<int>(wi)); | ||
| // // break; | ||
| // //default: | ||
| // // throw std::runtime_error("EventList had an unexpected data type!"); | ||
| // //} | ||
| // | ||
| // //// Give this task to the scheduler | ||
| // //double cost = double(el.getNumberEvents()); | ||
| // //ts->push( new FunctionTask( func, cost) ); | ||
| // | ||
| // //// Keep a running total of how many events we've added | ||
| // //eventsAdded += el.getNumberEvents(); | ||
| // //if (bc->shouldSplitBoxes(eventsAdded, lastNumBoxes)) | ||
| // //{ | ||
| // // // Do all the adding tasks | ||
| // // tp.joinAll(); | ||
| // // // Now do all the splitting tasks | ||
| // // ws->splitAllIfNeeded(ts); | ||
| // // tp.joinAll(); | ||
| // | ||
| // // // Count the new # of boxes. | ||
| // // lastNumBoxes = ws->getBoxController()->getTotalNumMDBoxes(); | ||
| // | ||
| // // eventsAdded = 0; | ||
| // //} | ||
| // | ||
| // | ||
| // // tp.joinAll(); | ||
| // // // Do a final splitting of everything | ||
| // // ws->splitAllIfNeeded(ts); | ||
| // // tp.joinAll(); | ||
| // // | ||
| // // // Recount totals at the end. | ||
| // //// cputim.reset(); | ||
| // // ws->refreshCache(); | ||
| // // //TODO: Centroid in parallel, maybe? | ||
| // // ws->getBox()->refreshCentroid(NULL); | ||
| // | ||
| // | ||
| // | ||
| //}; | ||
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| // // This little dance makes the getting vector of events more general (since you can't overload by return type). | ||
| // typename std::vector<T> * events_ptr; | ||
| // getEventsFrom(el, events_ptr); | ||
| // typename std::vector<T> & events = *events_ptr; | ||
| // | ||
| // // Iterators to start/end | ||
| // typename std::vector<T>::iterator it = events.begin(); | ||
| // typename std::vector<T>::iterator it_end = events.end(); | ||
| // | ||
| // for (; it != it_end; it++) | ||
| // { | ||
| // // Get the wavenumber in ang^-1 using the previously calculated constant. | ||
| // double wavenumber = wavenumber_in_angstrom_times_tof_in_microsec / it->tof(); | ||
| // | ||
| // | ||
| // // Q vector = K_final - K_initial = wavenumber * (output_direction - input_direction) | ||
| // coord_t center[3] = {Q_dir_x * wavenumber, Q_dir_y * wavenumber, Q_dir_z * wavenumber}; | ||
| // | ||
| // | ||
| // // Push the MDLeanEvent with the same weight | ||
| // out_events.push_back( MDE(float(it->weight()), float(it->errorSquared()), center) ); | ||
| // | ||
| // } | ||
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| //template <class T> | ||
| //void ConvertToDiffractionMDWorkspace::convertEventList(int workspaceIndex) | ||
| // { | ||
| // EventList & el = in_ws->getEventList(workspaceIndex); | ||
| // size_t numEvents = el.getNumberEvents(); | ||
| // | ||
| // // Get the position of the detector there. | ||
| // std::set<detid_t>& detectors = el.getDetectorIDs(); | ||
| // if (detectors.size() > 0) | ||
| // { | ||
| // // The 3D MDEvents that will be added into the MDEventWorkspce | ||
| // std::vector<MDE> out_events; | ||
| // out_events.reserve( el.getNumberEvents() ); | ||
| // | ||
| // | ||
| // // This little dance makes the getting vector of events more general (since you can't overload by return type). | ||
| // typename std::vector<T> * events_ptr; | ||
| // getEventsFrom(el, events_ptr); | ||
| // typename std::vector<T> & events = *events_ptr; | ||
| // | ||
| // // Iterators to start/end | ||
| // typename std::vector<T>::iterator it = events.begin(); | ||
| // typename std::vector<T>::iterator it_end = events.end(); | ||
| // | ||
| // for (; it != it_end; it++) | ||
| // { | ||
| // // Get the wavenumber in ang^-1 using the previously calculated constant. | ||
| // double wavenumber = wavenumber_in_angstrom_times_tof_in_microsec / it->tof(); | ||
| // | ||
| // | ||
| // // Q vector = K_final - K_initial = wavenumber * (output_direction - input_direction) | ||
| // coord_t center[3] = {Q_dir_x * wavenumber, Q_dir_y * wavenumber, Q_dir_z * wavenumber}; | ||
| // | ||
| // | ||
| // // Push the MDLeanEvent with the same weight | ||
| // out_events.push_back( MDE(float(it->weight()), float(it->errorSquared()), center) ); | ||
| // | ||
| // } | ||
| // | ||
| // // Clear out the EventList to save memory | ||
| // if (ClearInputWorkspace) | ||
| // { | ||
| // // Track how much memory you cleared | ||
| // size_t memoryCleared = el.getMemorySize(); | ||
| // // Clear it now | ||
| // el.clear(); | ||
| // // For Linux with tcmalloc, make sure memory goes back, if you've cleared 200 Megs | ||
| // MemoryManager::Instance().releaseFreeMemoryIfAccumulated(memoryCleared, (size_t)2e8); | ||
| // } | ||
| // | ||
| // // Add them to the MDEW | ||
| // ws->addEvents(out_events); | ||
| // } | ||
| // | ||
| // } | ||
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| } // endNamespace MDAlgorithms | ||
| } // endNamespace Mantid | ||
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| #endif |
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