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#include "MantidGeometry/MDGeometry/IMDDimension.h"
#include "MantidGeometry/MDGeometry/MDGeometryXMLBuilder.h"
#include "MantidKernel/System.h"
Janik Zikovsky
committed
#include "MantidKernel/Utils.h"
#include "MantidKernel/VMD.h"
#include "MantidDataObjects/MDHistoWorkspace.h"
#include "MantidDataObjects/MDHistoWorkspaceIterator.h"
#include "MantidGeometry/MDGeometry/MDHistoDimension.h"
#include "MantidGeometry/MDGeometry/MDDimensionExtents.h"
#include "MantidAPI/IMDWorkspace.h"
#include "MantidAPI/IMDIterator.h"
#include <boost/scoped_array.hpp>
#include <boost/math/special_functions/fpclassify.hpp>
Janik Zikovsky
committed
using namespace Mantid::Kernel;
Janik Zikovsky
committed
using namespace Mantid::Geometry;
using namespace Mantid::API;
namespace DataObjects {
//----------------------------------------------------------------------------------------------
/** Constructor given the 4 dimensions
* @param dimX :: X dimension binning parameters
* @param dimY :: Y dimension binning parameters
* @param dimZ :: Z dimension binning parameters
* @param dimT :: T (time) dimension binning parameters
* @param displayNormalization :: optional display normalization to use as the
* default.
MDHistoWorkspace::MDHistoWorkspace(
Mantid::Geometry::MDHistoDimension_sptr dimX,
Mantid::Geometry::MDHistoDimension_sptr dimY,
Mantid::Geometry::MDHistoDimension_sptr dimZ,
Mantid::Geometry::MDHistoDimension_sptr dimT,
Mantid::API::MDNormalization displayNormalization)
: IMDHistoWorkspace(), numDimensions(0),
m_nEventsContributed(std::numeric_limits<uint64_t>::quiet_NaN()),
m_coordSystem(None), m_displayNormalization(displayNormalization) {
std::vector<Mantid::Geometry::MDHistoDimension_sptr> dimensions;
if (dimX)
dimensions.push_back(dimX);
if (dimY)
dimensions.push_back(dimY);
if (dimZ)
dimensions.push_back(dimZ);
if (dimT)
dimensions.push_back(dimT);
this->init(dimensions);
}
//----------------------------------------------------------------------------------------------
/** Constructor given a vector of dimensions
* @param dimensions :: vector of MDHistoDimension; no limit to how many.
* @param displayNormalization :: optional display normalization to use as the
* default.
*/
MDHistoWorkspace::MDHistoWorkspace(
std::vector<Mantid::Geometry::MDHistoDimension_sptr> &dimensions,
Mantid::API::MDNormalization displayNormalization)
: IMDHistoWorkspace(), numDimensions(0), m_numEvents(NULL),
m_nEventsContributed(std::numeric_limits<uint64_t>::quiet_NaN()),
m_coordSystem(None), m_displayNormalization(displayNormalization) {
this->init(dimensions);
}
//----------------------------------------------------------------------------------------------
/** Constructor given a vector of dimensions
* @param dimensions :: vector of MDHistoDimension; no limit to how many.
* @param displayNormalization :: optional display normalization to use as the
* default.
*/
MDHistoWorkspace::MDHistoWorkspace(
std::vector<Mantid::Geometry::IMDDimension_sptr> &dimensions,
Mantid::API::MDNormalization displayNormalization)
: IMDHistoWorkspace(), numDimensions(0), m_numEvents(NULL),
m_nEventsContributed(std::numeric_limits<uint64_t>::quiet_NaN()),
m_coordSystem(None), m_displayNormalization(displayNormalization) {
this->init(dimensions);
}
//----------------------------------------------------------------------------------------------
/** Copy constructor
*
* @param other :: MDHistoWorkspace to copy from.
*/
MDHistoWorkspace::MDHistoWorkspace(const MDHistoWorkspace &other)
: IMDHistoWorkspace(other) {
// Dimensions are copied by the copy constructor of MDGeometry
this->cacheValues();
// Allocate the linear arrays
m_signals = new signal_t[m_length];
m_errorsSquared = new signal_t[m_length];
m_numEvents = new signal_t[m_length];
m_masks = new bool[m_length];
m_nEventsContributed = other.m_nEventsContributed;
this->setCoordinateSystem(other.getSpecialCoordinateSystem());
m_displayNormalization = other.displayNormalization();
// Now copy all the data
for (size_t i = 0; i < m_length; ++i) {
m_signals[i] = other.m_signals[i];
m_errorsSquared[i] = other.m_errorsSquared[i];
m_numEvents[i] = other.m_numEvents[i];
m_masks[i] = other.m_masks[i];
}
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}
//----------------------------------------------------------------------------------------------
/** Destructor
*/
MDHistoWorkspace::~MDHistoWorkspace() {
delete[] m_signals;
delete[] m_errorsSquared;
delete[] m_numEvents;
delete[] indexMultiplier;
delete[] m_vertexesArray;
delete[] m_boxLength;
delete[] m_indexMaker;
delete[] m_indexMax;
delete[] m_origin;
delete[] m_masks;
}
//----------------------------------------------------------------------------------------------
/** Constructor helper method
* @param dimensions :: vector of MDHistoDimension; no limit to how many.
*/
void MDHistoWorkspace::init(
std::vector<Mantid::Geometry::MDHistoDimension_sptr> &dimensions) {
std::vector<IMDDimension_sptr> dim2;
for (size_t i = 0; i < dimensions.size(); i++)
dim2.push_back(boost::dynamic_pointer_cast<IMDDimension>(dimensions[i]));
this->init(dim2);
m_nEventsContributed = 0;
}
//----------------------------------------------------------------------------------------------
/** Constructor helper method
* @param dimensions :: vector of IMDDimension; no limit to how many.
*/
void MDHistoWorkspace::init(
std::vector<Mantid::Geometry::IMDDimension_sptr> &dimensions) {
MDGeometry::initGeometry(dimensions);
this->cacheValues();
// Allocate the linear arrays
m_signals = new signal_t[m_length];
m_errorsSquared = new signal_t[m_length];
m_numEvents = new signal_t[m_length];
m_masks = new bool[m_length];
// Initialize them to NAN (quickly)
signal_t nan = std::numeric_limits<signal_t>::quiet_NaN();
this->setTo(nan, nan, nan);
m_nEventsContributed = 0;
}
//----------------------------------------------------------------------------------------------
/** When all dimensions have been initialized, this caches all the necessary
* values for later use.
*/
void MDHistoWorkspace::cacheValues() {
// Copy the dimensions array
numDimensions = m_dimensions.size();
// For indexing.
if (numDimensions < 4)
indexMultiplier = new size_t[4];
else
indexMultiplier = new size_t[numDimensions];
// For quick indexing, accumulate these values
// First multiplier
indexMultiplier[0] = m_dimensions[0]->getNBins();
for (size_t d = 1; d < numDimensions; d++)
indexMultiplier[d] = indexMultiplier[d - 1] * m_dimensions[d]->getNBins();
// This is how many dense data points
m_length = indexMultiplier[numDimensions - 1];
// Now fix things for < 4 dimensions. Indices > the number of dimensions will
// be ignored (*0)
for (size_t d = numDimensions - 1; d < 4; d++)
indexMultiplier[d] = 0;
// Compute the volume of each cell.
coord_t volume = 1.0;
for (size_t i = 0; i < numDimensions; ++i)
volume *= m_dimensions[i]->getBinWidth();
m_inverseVolume = 1.0f / volume;
// Continue with the vertexes array
this->initVertexesArray();
m_nEventsContributed = 0;
}
//----------------------------------------------------------------------------------------------
/** After initialization, call this to initialize the vertexes array
* to the vertexes of the 0th box.
* Will be used by getVertexesArray()
* */
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