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MDHistoWorkspaceTest.h
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MDHistoWorkspaceTest.h
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// Mantid Repository : https://github.com/mantidproject/mantid
//
// Copyright © 2018 ISIS Rutherford Appleton Laboratory UKRI,
// NScD Oak Ridge National Laboratory, European Spallation Source,
// Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
// SPDX - License - Identifier: GPL - 3.0 +
#pragma once
#include "MantidAPI/ExperimentInfo.h"
#include "MantidAPI/IMDIterator.h"
#include "MantidAPI/IMDWorkspace.h"
#include "MantidAPI/Sample.h"
#include "MantidDataObjects/MDHistoWorkspace.h"
#include "MantidDataObjects/MDHistoWorkspaceIterator.h"
#include "MantidDataObjects/WorkspaceSingleValue.h"
#include "MantidFrameworkTestHelpers/MDEventsTestHelper.h"
#include "MantidGeometry/MDGeometry/MDBoxImplicitFunction.h"
#include "MantidGeometry/MDGeometry/MDHistoDimension.h"
#include "MantidGeometry/MDGeometry/QSample.h"
#include "MantidKernel/Strings.h"
#include "MantidKernel/System.h"
#include "MantidKernel/Timer.h"
#include "MantidKernel/VMD.h"
#include "PropertyManagerHelper.h"
#include <boost/scoped_array.hpp>
#include <boost/scoped_ptr.hpp>
#include <cmath>
#include <cxxtest/TestSuite.h>
using namespace Mantid::DataObjects;
using namespace Mantid::Geometry;
using namespace Mantid::API;
using namespace Mantid::Kernel;
using namespace Mantid;
class MDHistoWorkspaceTest : public CxxTest::TestSuite {
private:
/// Helper function to return the number of masked bins in a workspace. TODO:
/// move helper into test helpers
size_t getNumberMasked(const Mantid::API::IMDWorkspace_sptr &ws) {
auto it = ws->createIterator(nullptr);
size_t numberMasked = 0;
size_t counter = 0;
for (; counter < it->getDataSize(); ++counter) {
if (it->getIsMasked()) {
++numberMasked;
}
it->next(1);
}
return numberMasked;
}
IMDWorkspace::LinePlot getLinePlotData(const bool mask) {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
if (mask) {
// Mask part of the workspace
std::vector<coord_t> min_mask{0, 0};
std::vector<coord_t> max_mask{5, 5};
auto function = std::make_unique<MDBoxImplicitFunction>(min_mask, max_mask);
ws->setMDMasking(std::move(function));
}
auto first_dim = ws->getDimension(0);
VMD start(first_dim->getMinimum(), 0.0);
VMD end(first_dim->getMaximum(), 0.0);
return ws->getLinePlot(start, end, NoNormalization);
}
/// Helper method returns the size of an element in the MDHistoWorkspace
size_t sizeOfElement() { return (sizeof(double) * 3 + sizeof(bool)); }
public:
// This pair of boilerplate methods prevent the suite being created statically
// This means the constructor isn't called when running other tests
static MDHistoWorkspaceTest *createSuite() { return new MDHistoWorkspaceTest(); }
static void destroySuite(MDHistoWorkspaceTest *suite) { delete suite; }
MDHistoWorkspace_sptr two;
MDHistoWorkspace_sptr three;
/** Create some fake workspace, 5x5, with 2.0 and 3.0 each */
MDHistoWorkspaceTest() {
two = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 2.0);
three = MDEventsTestHelper::makeFakeMDHistoWorkspace(3.0, 2, 5, 10.0, 3.0);
}
/** Check that a workspace has the right signal/error*/
void checkWorkspace(const MDHistoWorkspace_sptr &ws, double expectedSignal, double expectedErrorSquared,
double expectedNumEvents = 1.0) {
for (size_t i = 0; i < ws->getNPoints(); i++) {
TS_ASSERT_DELTA(ws->getSignalAt(i), expectedSignal, 1e-5);
TS_ASSERT_DELTA(ws->getErrorAt(i), std::sqrt(expectedErrorSquared), 1e-5);
TS_ASSERT_DELTA(ws->getNumEventsAt(i), expectedNumEvents, 1e-5);
}
}
//--------------------------------------------------------------------------------------
void test_constructor() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 5));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -10, 10, 5));
MDHistoDimension_sptr dimZ(new MDHistoDimension("Z", "z", frame, -10, 10, 5));
MDHistoDimension_sptr dimT(new MDHistoDimension("T", "t", frame, -10, 10, 5));
MDHistoWorkspace ws(dimX, dimY, dimZ, dimT);
TS_ASSERT_EQUALS(ws.getNumDims(), 4);
TS_ASSERT_EQUALS(ws.getNPoints(), 5 * 5 * 5 * 5);
TS_ASSERT_EQUALS(ws.getMemorySize(), 5 * 5 * 5 * 5 * sizeOfElement());
TS_ASSERT_EQUALS(ws.getXDimension(), dimX);
TS_ASSERT_EQUALS(ws.getYDimension(), dimY);
TS_ASSERT_EQUALS(ws.getZDimension(), dimZ);
TS_ASSERT_EQUALS(ws.getTDimension(), dimT);
// The values are cleared at the start
for (size_t i = 0; i < ws.getNPoints(); i++) {
TS_ASSERT(std::isnan(ws.getSignalAt(i)));
TS_ASSERT(std::isnan(ws.getErrorAt(i)));
TS_ASSERT(std::isnan(ws.getSignalNormalizedAt(i)));
TS_ASSERT(std::isnan(ws.getErrorNormalizedAt(i)));
TS_ASSERT(!ws.getIsMaskedAt(i));
}
// Setting and getting
ws.setSignalAt(5, 2.3456);
TS_ASSERT_DELTA(ws.getSignalAt(5), 2.3456, 1e-5);
TS_ASSERT_DELTA(ws.getSignalNormalizedAt(5), 2.3456 / 256.0,
1e-5); // Cell volume is 256
ws.setErrorSquaredAt(5, 1.234);
TS_ASSERT_DELTA(ws.getErrorAt(5), sqrt(1.234), 1e-5);
TS_ASSERT_DELTA(ws.getErrorNormalizedAt(5), sqrt(1.234) / 256.0,
1e-5); // Cell volume is 256
std::vector<signal_t> data = ws.getSignalDataVector();
TS_ASSERT_EQUALS(data.size(), 5 * 5 * 5 * 5);
TS_ASSERT_DELTA(data[5], 2.3456, 1e-5);
// Set a different value at every point
for (size_t i = 0; i < ws.getNPoints(); ++i) {
ws.setSignalAt(i, (signal_t)i);
ws.setErrorSquaredAt(i, (signal_t)i);
}
// Test the 4 overloads of each method. Phew!
TS_ASSERT_DELTA(ws.getSignalAt(1), 1.0, 1e-4);
TS_ASSERT_DELTA(ws.getSignalAt(1, 2), 1.0 + 2 * 5.0, 1e-4);
TS_ASSERT_DELTA(ws.getSignalAt(1, 2, 3), 1.0 + 2 * 5.0 + 3 * 25.0, 1e-4);
TS_ASSERT_DELTA(ws.getSignalAt(1, 2, 3, 4), 1.0 + 2 * 5.0 + 3 * 25.0 + 4 * 125.0, 1e-4);
TS_ASSERT_DELTA(ws.getErrorAt(1), sqrt(1.0), 1e-4);
TS_ASSERT_DELTA(ws.getErrorAt(1, 2), sqrt(1.0 + 2 * 5.0), 1e-4);
TS_ASSERT_DELTA(ws.getErrorAt(1, 2, 3), sqrt(1.0 + 2 * 5.0 + 3 * 25.0), 1e-4);
TS_ASSERT_DELTA(ws.getErrorAt(1, 2, 3, 4), sqrt(1.0 + 2 * 5.0 + 3 * 25.0 + 4 * 125.0), 1e-4);
TS_ASSERT_DELTA(ws.getSignalNormalizedAt(1) * 256.0, 1.0, 1e-4);
TS_ASSERT_DELTA(ws.getSignalNormalizedAt(1, 2) * 256.0, 1.0 + 2 * 5.0, 1e-4);
TS_ASSERT_DELTA(ws.getSignalNormalizedAt(1, 2, 3) * 256.0, 1.0 + 2 * 5.0 + 3 * 25.0, 1e-4);
TS_ASSERT_DELTA(ws.getSignalNormalizedAt(1, 2, 3, 4) * 256.0, 1.0 + 2 * 5.0 + 3 * 25.0 + 4 * 125.0, 1e-4);
TS_ASSERT_DELTA(ws.getErrorNormalizedAt(1) * 256.0, sqrt(1.0), 1e-4);
TS_ASSERT_DELTA(ws.getErrorNormalizedAt(1, 2) * 256.0, sqrt(1.0 + 2 * 5.0), 1e-4);
TS_ASSERT_DELTA(ws.getErrorNormalizedAt(1, 2, 3) * 256.0, sqrt(1.0 + 2 * 5.0 + 3 * 25.0), 1e-4);
TS_ASSERT_DELTA(ws.getErrorNormalizedAt(1, 2, 3, 4) * 256.0, sqrt(1.0 + 2 * 5.0 + 3 * 25.0 + 4 * 125.0), 1e-4);
}
//---------------------------------------------------------------------------------------------------
/** Create a dense histogram with only 2 dimensions */
void test_constructor_fewerDimensions() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 5));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -10, 10, 5));
MDHistoWorkspace ws(dimX, dimY);
TS_ASSERT_EQUALS(ws.getNumDims(), 2);
TS_ASSERT_EQUALS(ws.getNPoints(), 5 * 5);
TS_ASSERT_EQUALS(ws.getMemorySize(), 5 * 5 * sizeOfElement());
TS_ASSERT_EQUALS(ws.getXDimension(), dimX);
TS_ASSERT_EQUALS(ws.getYDimension(), dimY);
TS_ASSERT_THROWS_ANYTHING(ws.getZDimension());
TS_ASSERT_THROWS_ANYTHING(ws.getTDimension());
// Setting and getting
ws.setSignalAt(5, 2.3456);
TS_ASSERT_DELTA(ws.getSignalAt(5), 2.3456, 1e-5);
ws.setErrorSquaredAt(5, 1.234);
TS_ASSERT_DELTA(ws.getErrorAt(5), sqrt(1.234), 1e-5);
std::vector<signal_t> data = ws.getSignalDataVector();
TS_ASSERT_EQUALS(data.size(), 5 * 5);
TS_ASSERT_DELTA(data[5], 2.3456, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Create a dense histogram with 7 dimensions */
void test_constructor_MoreThanFourDimensions() {
std::vector<MDHistoDimension_sptr> dimensions;
Mantid::Geometry::GeneralFrame frame("m", "m");
for (size_t i = 0; i < 7; i++) {
dimensions.emplace_back(MDHistoDimension_sptr(new MDHistoDimension("Dim", "Dim", frame, -10, 10, 3)));
}
MDHistoWorkspace ws(dimensions);
TS_ASSERT_EQUALS(ws.getNumDims(), 7);
TS_ASSERT_EQUALS(ws.getNPoints(), 3 * 3 * 3 * 3 * 3 * 3 * 3);
TS_ASSERT_EQUALS(ws.getMemorySize(), ws.getNPoints() * sizeOfElement());
// Setting and getting
ws.setSignalAt(5, 2.3456);
TS_ASSERT_DELTA(ws.getSignalAt(5), 2.3456, 1e-5);
ws.setErrorSquaredAt(5, 1.234);
TS_ASSERT_DELTA(ws.getErrorAt(5), sqrt(1.234), 1e-5);
std::vector<signal_t> data = ws.getSignalDataVector();
TS_ASSERT_EQUALS(data.size(), 3 * 3 * 3 * 3 * 3 * 3 * 3);
TS_ASSERT_DELTA(data[5], 2.3456, 1e-5);
}
class TestableMDHistoWorkspace : public MDHistoWorkspace {
public:
TestableMDHistoWorkspace(const MDHistoWorkspace &other) : MDHistoWorkspace(other) {}
};
//--------------------------------------------------------------------------------------
void test_copy_constructor() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.234);
a->addExperimentInfo(ExperimentInfo_sptr(new ExperimentInfo()));
for (size_t i = 0; i < a->getNPoints(); i++)
a->setNumEventsAt(i, 123.);
MDHistoWorkspace_sptr b(new TestableMDHistoWorkspace(*a));
TS_ASSERT_EQUALS(b->getNumDims(), a->getNumDims());
TS_ASSERT_EQUALS(b->getNPoints(), a->getNPoints());
TS_ASSERT_EQUALS(b->getNumExperimentInfo(), a->getNumExperimentInfo());
TS_ASSERT_EQUALS(b->displayNormalization(), a->displayNormalization());
checkWorkspace(b, 1.23, 3.234, 123.);
}
//--------------------------------------------------------------------------------------
void test_clone_clear_workspace_name() {
auto ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.234);
const std::string name{"MatrixWorkspace_testCloneClearsWorkspaceName"};
AnalysisDataService::Instance().add(name, ws);
TS_ASSERT_EQUALS(ws->getName(), name)
auto cloned = ws->clone();
TS_ASSERT(cloned->getName().empty())
AnalysisDataService::Instance().clear();
}
//--------------------------------------------------------------------------------------
void test_array_operator() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.234);
TS_ASSERT_DELTA((*a)[0], 1.23, 1e-5);
TS_ASSERT_THROWS_ANYTHING((*a)[25]);
TS_ASSERT_THROWS_ANYTHING((*a)[-1]);
}
//---------------------------------------------------------------------------------------------------
void test_getVertexesArray_1D() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 5));
MDHistoWorkspace ws(dimX);
size_t numVertices;
auto v1 = ws.getVertexesArray(0, numVertices);
TS_ASSERT_EQUALS(numVertices, 2);
TS_ASSERT_DELTA(v1[0], -10.0, 1e-5);
TS_ASSERT_DELTA(v1[1], -6.0, 1e-5);
auto v2 = ws.getVertexesArray(4, numVertices);
TS_ASSERT_DELTA(v2[0], 6.0, 1e-5);
TS_ASSERT_DELTA(v2[1], 10.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
void test_getVertexesArray_2D() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 5));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -10, 10, 5));
MDHistoWorkspace ws(dimX, dimY);
size_t numVertices, i;
auto v1 = ws.getVertexesArray(0, numVertices);
TS_ASSERT_EQUALS(numVertices, 4);
i = 0 * 2;
TS_ASSERT_DELTA(v1[i + 0], -10.0, 1e-5);
TS_ASSERT_DELTA(v1[i + 1], -10.0, 1e-5);
i = 3 * 2;
TS_ASSERT_DELTA(v1[i + 0], -6.0, 1e-5);
TS_ASSERT_DELTA(v1[i + 1], -6.0, 1e-5);
// The opposite corner
auto v2 = ws.getVertexesArray(24, numVertices);
i = 0 * 2;
TS_ASSERT_DELTA(v2[i + 0], 6.0, 1e-5);
TS_ASSERT_DELTA(v2[i + 1], 6.0, 1e-5);
i = 3 * 2;
TS_ASSERT_DELTA(v2[i + 0], 10.0, 1e-5);
TS_ASSERT_DELTA(v2[i + 1], 10.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
void test_getVertexesArray_3D() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 5));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -9, 10, 5));
MDHistoDimension_sptr dimZ(new MDHistoDimension("Z", "z", frame, -8, 10, 5));
MDHistoWorkspace ws(dimX, dimY, dimZ);
size_t numVertices, i;
auto v = ws.getVertexesArray(0, numVertices);
TS_ASSERT_EQUALS(numVertices, 8);
i = 0;
TS_ASSERT_DELTA(v[i + 0], -10.0, 1e-5);
TS_ASSERT_DELTA(v[i + 1], -9.0, 1e-5);
TS_ASSERT_DELTA(v[i + 2], -8.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
void test_getCenter_3D() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 20));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -9, 10, 19));
MDHistoDimension_sptr dimZ(new MDHistoDimension("Z", "z", frame, -8, 10, 18));
MDHistoWorkspace ws(dimX, dimY, dimZ);
VMD v = ws.getCenter(0);
TS_ASSERT_DELTA(v[0], -9.5, 1e-5);
TS_ASSERT_DELTA(v[1], -8.5, 1e-5);
TS_ASSERT_DELTA(v[2], -7.5, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Test for a possible seg-fault if nx != ny etc. */
void test_uneven_numbers_of_bins() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 5));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -10, 10, 10));
MDHistoDimension_sptr dimZ(new MDHistoDimension("Z", "z", frame, -10, 10, 20));
MDHistoDimension_sptr dimT(new MDHistoDimension("T", "t", frame, -10, 10, 10));
MDHistoWorkspace ws(dimX, dimY, dimZ, dimT);
TS_ASSERT_EQUALS(ws.getNumDims(), 4);
TS_ASSERT_EQUALS(ws.getNPoints(), 5 * 10 * 20 * 10);
TS_ASSERT_EQUALS(ws.getMemorySize(), 5 * 10 * 20 * 10 * sizeOfElement());
// Setting and getting
size_t index = 5 * 10 * 20 * 10 - 1; // The last point
ws.setSignalAt(index, 2.3456);
TS_ASSERT_DELTA(ws.getSignalAt(index), 2.3456, 1e-5);
// Getter with all indices
TS_ASSERT_DELTA(ws.getSignalAt(4, 9, 19, 9), 2.3456, 1e-5);
// check shapes
TS_ASSERT_EQUALS(5, ws.getDimension(0)->getNBins());
TS_ASSERT_EQUALS(10, ws.getDimension(1)->getNBins());
TS_ASSERT_EQUALS(20, ws.getDimension(2)->getNBins());
TS_ASSERT_EQUALS(10, ws.getDimension(3)->getNBins());
auto *binWidth = ws.getBinWidths();
TS_ASSERT_DELTA(20. / 5, *(binWidth + 0), 1.e-5);
TS_ASSERT_DELTA(20. / 10, *(binWidth + 1), 1.e-5);
TS_ASSERT_DELTA(20. / 20, *(binWidth + 2), 1.e-5);
TS_ASSERT_DELTA(20. / 10, *(binWidth + 3), 1.e-5);
}
//---------------------------------------------------------------------------------------------------
void test_createIterator() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 10));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -9, 10, 10));
MDHistoDimension_sptr dimZ(new MDHistoDimension("Z", "z", frame, -8, 10, 10));
MDHistoWorkspace ws(dimX, dimY, dimZ);
auto it = ws.createIterator();
TS_ASSERT(it);
MDHistoWorkspaceIterator *hwit = dynamic_cast<MDHistoWorkspaceIterator *>(it.get());
TS_ASSERT(hwit);
TS_ASSERT(it->next());
boost::scoped_ptr<MDImplicitFunction> mdfunction(new MDImplicitFunction);
it = ws.createIterator(mdfunction.get());
TS_ASSERT(it);
}
//---------------------------------------------------------------------------------------------------
// Test for the IMDWorkspace aspects of MDWorkspace.
void testGetNonIntegratedDimensions() {
Mantid::Geometry::GeneralFrame frame("m", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 1)); // Integrated.
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -10, 10, 10));
MDHistoDimension_sptr dimZ(new MDHistoDimension("Z", "z", frame, -10, 10, 20));
MDHistoDimension_sptr dimT(new MDHistoDimension("T", "t", frame, -10, 10, 10));
MDHistoWorkspace ws(dimX, dimY, dimZ, dimT);
TSM_ASSERT_EQUALS("Only 3 of the 4 dimensions should be non-integrated", ws.getNumNonIntegratedDims(), 3);
Mantid::Geometry::VecIMDDimension_const_sptr vecNonIntegratedDims = ws.getNonIntegratedDimensions();
TSM_ASSERT_EQUALS("Only 3 of the 4 dimensions should be non-integrated", 3, vecNonIntegratedDims.size());
TSM_ASSERT_EQUALS("First non-integrated dimension should be Y", "y", vecNonIntegratedDims[0]->getDimensionId());
TSM_ASSERT_EQUALS("Second non-integrated dimension should be Z", "z", vecNonIntegratedDims[1]->getDimensionId());
TSM_ASSERT_EQUALS("Third non-integrated dimension should be T", "t", vecNonIntegratedDims[2]->getDimensionId());
}
//---------------------------------------------------------------------------------------------------
void test_getGeometryXML() {
// If POCO xml supported schema validation, we wouldn't need to check xml
// outputs like this.
std::string expectedXML =
std::string("<DimensionSet>") + "<Dimension ID=\"x\">" + "<Name>X</Name>" + "<Units>m</Units>" +
"<Frame>My General Frame</Frame>" + "<UpperBounds>10.0000</UpperBounds>" +
"<LowerBounds>-10.0000</LowerBounds>" + "<NumberOfBins>5</NumberOfBins>" + "</Dimension>" +
"<Dimension ID=\"y\">" + "<Name>Y</Name>" + "<Units>m</Units>" + "<Frame>My General Frame</Frame>" +
"<UpperBounds>10.0000</UpperBounds>" + "<LowerBounds>-10.0000</LowerBounds>" +
"<NumberOfBins>5</NumberOfBins>" + "</Dimension>" + "<Dimension ID=\"z\">" + "<Name>Z</Name>" +
"<Units>m</Units>" + "<Frame>My General Frame</Frame>" + "<UpperBounds>10.0000</UpperBounds>" +
"<LowerBounds>-10.0000</LowerBounds>" + "<NumberOfBins>5</NumberOfBins>" + "</Dimension>" +
"<Dimension ID=\"t\">" + "<Name>T</Name>" + "<Units>m</Units>" + "<Frame>My General Frame</Frame>" +
"<UpperBounds>10.0000</UpperBounds>" + "<LowerBounds>-10.0000</LowerBounds>" +
"<NumberOfBins>5</NumberOfBins>" + "</Dimension>" + "<XDimension>" + "<RefDimensionId>x</RefDimensionId>" +
"</XDimension>" + "<YDimension>" + "<RefDimensionId>y</RefDimensionId>" + "</YDimension>" + "<ZDimension>" +
"<RefDimensionId>z</RefDimensionId>" + "</ZDimension>" + "<TDimension>" + "<RefDimensionId>t</RefDimensionId>" +
"</TDimension>" + "</DimensionSet>";
Mantid::Geometry::GeneralFrame frame("My General Frame", "m");
MDHistoDimension_sptr dimX(new MDHistoDimension("X", "x", frame, -10, 10, 5));
MDHistoDimension_sptr dimY(new MDHistoDimension("Y", "y", frame, -10, 10, 5));
MDHistoDimension_sptr dimZ(new MDHistoDimension("Z", "z", frame, -10, 10, 5));
MDHistoDimension_sptr dimT(new MDHistoDimension("T", "t", frame, -10, 10, 5));
MDHistoWorkspace ws(dimX, dimY, dimZ, dimT);
std::string actualXML = ws.getGeometryXML();
TS_ASSERT_EQUALS(expectedXML, actualXML);
}
//---------------------------------------------------------------------------------------------------
void test_getNumEvents() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
ws->setNumEventsAt(0, 123);
ws->setNumEventsAt(1, 345);
TS_ASSERT_DELTA(ws->getNumEventsAt(0), 123, 1e-6);
TS_ASSERT_DELTA(ws->getNumEventsAt(1), 345, 1e-6);
}
//---------------------------------------------------------------------------------------------------
void test_getSignalAtCoord() {
// 2D workspace with signal[i] = i (linear index)
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
IMDWorkspace_sptr iws(ws);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(0.5, 0.5)), 0.0, 1e-6);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(1.5, 0.5)), 1.0, 1e-6);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(1.5, 1.5)), 11.0, 1e-6);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(9.5, 9.5)), 99.0, 1e-6);
// Out of range = NaN
TS_ASSERT(std::isnan(iws->getSignalAtVMD(VMD(-0.01, 2.5))));
TS_ASSERT(std::isnan(iws->getSignalAtVMD(VMD(3.5, -0.02))));
TS_ASSERT(std::isnan(iws->getSignalAtVMD(VMD(10.01, 2.5))));
TS_ASSERT(std::isnan(iws->getSignalAtVMD(VMD(3.5, 10.02))));
}
//---------------------------------------------------------------------------------------------------
void test_getSignalAtCoord_withNormalization() {
// 2D workspace with signal[i] = i (linear index)
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10, 20);
for (size_t i = 0; i < 100; i++) {
ws->setSignalAt(i, double(i));
ws->setNumEventsAt(i, 10.0);
}
IMDWorkspace_sptr iws(ws);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(0.5, 0.5)), 0.0, 1e-6);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(3.5, 0.5), NoNormalization), 1.0, 1e-6);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(3.5, 0.5), VolumeNormalization), 0.25, 1e-6);
TS_ASSERT_DELTA(iws->getSignalAtVMD(VMD(3.5, 0.5), NumEventsNormalization), 0.1, 1e-6);
}
//---------------------------------------------------------------------------------------------------
void test_getSignalWithMaskAtVMD() {
// 2D workspace with signal[i] = i (linear index)
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10, 20);
for (size_t i = 0; i < 100; i++) {
ws->setSignalAt(i, double(i));
ws->setNumEventsAt(i, 10.0);
}
std::vector<coord_t> min;
std::vector<coord_t> max;
min.emplace_back(0.f);
min.emplace_back(0.f);
max.emplace_back(5.f);
max.emplace_back(5.f);
// Mask part of the workspace
auto function = std::make_unique<MDBoxImplicitFunction>(min, max);
ws->setMDMasking(std::move(function));
IMDWorkspace_sptr iws(ws);
// Testing with isnan() as following commented line doesn't work
// when MDMaskValue is NaN.
// TS_ASSERT_DELTA(iws->getSignalWithMaskAtVMD(VMD(0.5, 0.5)), MDMaskValue,
// 1e-6);
TS_ASSERT(std::isnan(iws->getSignalAtVMD(VMD(0.5, 0.5))));
TS_ASSERT(std::isnan(iws->getSignalWithMaskAtVMD(VMD(0.5, 0.5))));
TS_ASSERT(std::isnan(iws->getSignalAtVMD(VMD(3.5, 0.5), VolumeNormalization)));
TS_ASSERT(std::isnan(iws->getSignalWithMaskAtVMD(VMD(3.5, 0.5), VolumeNormalization)));
}
void test_getLinePlot_same_number_of_x_and_y_values() {
auto line = this->getLinePlotData(false);
TSM_ASSERT_EQUALS("There should be the same number of x and y values", line.x.size(), line.y.size());
TSM_ASSERT_EQUALS("There should be the same number of y and e values", line.y.size(), line.e.size());
}
void test_getLinePlot() {
auto line = this->getLinePlotData(false);
TS_ASSERT_EQUALS(line.x.size(), 10);
TSM_ASSERT_DELTA("x[0] should be the centre coordinate of the first bin", line.x[0], 0.5, 1e-5);
TS_ASSERT_DELTA(line.x[5], 5.5, 1e-5);
TSM_ASSERT_DELTA("x[9] should be the centre coordinate of the last bin", line.x[9], 9.5, 1e-5);
TS_ASSERT_EQUALS(line.y.size(), 10);
TSM_ASSERT_DELTA("y[0] should be the signal value of the first bin", line.y[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.y[4], 4.0, 1e-5);
TSM_ASSERT_DELTA("y[9] should be the signal value of the last bin", line.y[9], 9.0, 1e-5);
}
void test_getLinePlot_masked_same_number_of_x_and_y_values() {
auto line = this->getLinePlotData(true);
TSM_ASSERT_EQUALS("There should be the same number of x and y values", line.x.size(), line.y.size());
TSM_ASSERT_EQUALS("There should be the same number of y and e values", line.y.size(), line.e.size());
}
void test_getLinePlot_all_masked() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
// Mask the entire workspace
std::vector<coord_t> min_mask{0, 0};
std::vector<coord_t> max_mask{10, 10};
auto function = std::make_unique<MDBoxImplicitFunction>(min_mask, max_mask);
ws->setMDMasking(std::move(function));
auto first_dim = ws->getDimension(0);
VMD start(first_dim->getMinimum(), 0.0);
VMD end(first_dim->getMaximum(), 0.0);
auto line = ws->getLinePlot(start, end, NoNormalization);
TSM_ASSERT_EQUALS("We should get a single bin", line.x.size(), 1);
TSM_ASSERT_EQUALS("We should get a single bin", line.y.size(), 1);
}
void test_getLinePlotWithMaskedData() {
auto line = this->getLinePlotData(true);
// Masked points omitted
TS_ASSERT_EQUALS(line.y.size(), 5);
// Unmasked value
TS_ASSERT_DELTA(line.y[3], 8.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Line along X, going positive */
void test_getLineData_horizontal() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
VMD start(0.5, 0.5);
VMD end(9.5, 0.5);
auto line = ws->getLineData(start, end, NoNormalization);
TS_ASSERT_EQUALS(line.x.size(), 11);
TS_ASSERT_DELTA(line.x[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.x[1], 0.5, 1e-5);
TS_ASSERT_DELTA(line.x[2], 1.5, 1e-5);
TS_ASSERT_DELTA(line.x[10], 9.0, 1e-5);
TS_ASSERT_EQUALS(line.y.size(), 10);
TS_ASSERT_DELTA(line.y[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.y[1], 1.0, 1e-5);
TS_ASSERT_DELTA(line.y[2], 2.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Line along X, going positive */
void test_getLineData_horizontal_withMask() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
std::vector<coord_t> min{0, 0};
std::vector<coord_t> max{5, 5};
// Mask part of the workspace
auto function = std::make_unique<MDBoxImplicitFunction>(min, max);
ws->setMDMasking(std::move(function));
VMD start(0.5, 0.5);
VMD end(9.5, 0.5);
auto line = ws->getLineData(start, end, NoNormalization);
TS_ASSERT_EQUALS(line.y.size(), 10);
// Masked value should be zero
TS_ASSERT(std::isnan(line.y[2]));
// Unmasked value
TS_ASSERT_DELTA(line.y[9], 9.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Line along X, going positive */
void test_getLineData_3D() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 3, 10);
for (size_t i = 0; i < 1000; i++)
ws->setSignalAt(i, double(i));
VMD start(0.5, 0.5, 0.5);
VMD end(9.5, 0.5, 0.5);
auto line = ws->getLineData(start, end, NoNormalization);
TS_ASSERT_EQUALS(line.x.size(), 11);
TS_ASSERT_DELTA(line.x[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.x[1], 0.5, 1e-5);
TS_ASSERT_DELTA(line.x[2], 1.5, 1e-5);
TS_ASSERT_DELTA(line.x[10], 9.0, 1e-5);
TS_ASSERT_EQUALS(line.y.size(), 10);
TS_ASSERT_DELTA(line.y[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.y[1], 1.0, 1e-5);
TS_ASSERT_DELTA(line.y[2], 2.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Line along X, going negative */
void test_getLineData_horizontal_backwards() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
VMD start(9.5, 0.5);
VMD end(0.5, 0.5);
auto line = ws->getLineData(start, end, NoNormalization);
TS_ASSERT_EQUALS(line.x.size(), 11);
TS_ASSERT_DELTA(line.x[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.x[1], 0.5, 1e-5);
TS_ASSERT_DELTA(line.x[2], 1.5, 1e-5);
TS_ASSERT_DELTA(line.x[10], 9.0, 1e-5);
TS_ASSERT_EQUALS(line.y.size(), 10);
TS_ASSERT_DELTA(line.y[0], 9.0, 1e-5);
TS_ASSERT_DELTA(line.y[1], 8.0, 1e-5);
TS_ASSERT_DELTA(line.y[2], 7.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Diagonal line at 45 degrees crosses through 3 bins */
void test_getLineData_diagonal() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
VMD start(0.9, 0.5);
VMD end(1.9, 1.5);
auto line = ws->getLineData(start, end, NoNormalization);
std::cout << "X\n" << Strings::join(line.x.begin(), line.x.end(), ",") << '\n';
std::cout << "Y\n" << Strings::join(line.y.begin(), line.y.end(), ",") << '\n';
TS_ASSERT_EQUALS(line.x.size(), 4);
TS_ASSERT_DELTA(line.x[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.x[1], 0.1 * M_SQRT2, 1e-5);
TS_ASSERT_DELTA(line.x[2], 0.5 * M_SQRT2, 1e-5);
TS_ASSERT_DELTA(line.x[3], M_SQRT2, 1e-5);
TS_ASSERT_EQUALS(line.y.size(), 3);
TS_ASSERT_DELTA(line.y[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.y[1], 1.0, 1e-5);
TS_ASSERT_DELTA(line.y[2], 11.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Line along X, going positive, starting before and ending after limits */
void test_getLineData_horizontal_pastEdges() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
VMD start(-0.5, 0.5);
VMD end(10.5, 0.5);
auto line = ws->getLineData(start, end, NoNormalization);
TS_ASSERT_EQUALS(line.x.size(), 11);
TS_ASSERT_DELTA(line.x[0], 0.5, 1e-5);
TS_ASSERT_DELTA(line.x[1], 1.5, 1e-5);
TS_ASSERT_DELTA(line.x[2], 2.5, 1e-5);
TS_ASSERT_DELTA(line.x[10], 10.5, 1e-5);
TS_ASSERT_EQUALS(line.y.size(), 10);
TS_ASSERT_DELTA(line.y[0], 0.0, 1e-5);
TS_ASSERT_DELTA(line.y[1], 1.0, 1e-5);
TS_ASSERT_DELTA(line.y[2], 2.0, 1e-5);
}
//---------------------------------------------------------------------------------------------------
/** Line that completely misses the workspace */
void test_getLineData_totallyOutOfBounds() {
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.0, 2, 10);
for (size_t i = 0; i < 100; i++)
ws->setSignalAt(i, double(i));
VMD start(-5, 5);
VMD end(1, 20.5);
auto line = ws->getLineData(start, end, NoNormalization);
TS_ASSERT_EQUALS(line.x.size(), 2);
TS_ASSERT_DELTA(line.x[0], 0, 1e-5);
// NAN for Y
TS_ASSERT_EQUALS(line.y.size(), 1);
TS_ASSERT(line.y[0] != line.y[0]);
}
//--------------------------------------------------------------------------------------
void test_plus_ws() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 2.5 /*errorSquared*/);
MDHistoWorkspace_sptr b = MDEventsTestHelper::makeFakeMDHistoWorkspace(3.0, 2, 5, 10.0, 3.5 /*errorSquared*/);
*a += *b;
checkWorkspace(a, 5.0, 6.0, 2.0);
}
void test_plus_scalar() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 2.5 /*errorSquared*/);
a->add(3.0, sqrt(3.5));
checkWorkspace(a, 5.0, 6.0, 1.0);
}
//--------------------------------------------------------------------------------------
void test_minus_ws() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(3.0, 2, 5, 10.0, 2.5 /*errorSquared*/);
MDHistoWorkspace_sptr b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 3.5 /*errorSquared*/);
*a -= *b;
checkWorkspace(a, 1.0, 6.0, 2.0);
}
void test_minus_scalar() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(3.0, 2, 5, 10.0, 2.5 /*errorSquared*/);
a->subtract(2.0, sqrt(3.5));
checkWorkspace(a, 1.0, 6.0, 1.0);
}
//--------------------------------------------------------------------------------------
void test_times_ws() {
MDHistoWorkspace_sptr a =
MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 2.0 /*errorSquared*/, "", 2.0);
MDHistoWorkspace_sptr b =
MDEventsTestHelper::makeFakeMDHistoWorkspace(3.0, 2, 5, 10.0, 3.0 /*errorSquared*/, "", 3.0);
*a *= *b;
checkWorkspace(a, 6.0, 36. * (.5 + 1. / 3.), 2.0);
}
//--------------------------------------------------------------------------------------
void test_times_scalar() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 2.0 /*errorSquared*/);
a->multiply(3.0, sqrt(3.0));
checkWorkspace(a, 6.0, 36. * (.5 + 1. / 3.), 1.0);
// Scalar without error
MDHistoWorkspace_sptr d = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 2.0 /*errorSquared*/);
WorkspaceSingleValue e(3.0, 0);
d->multiply(3.0, 0);
checkWorkspace(d, 6.0, 9 * 2.0, 1.0);
}
//--------------------------------------------------------------------------------------
void test_divide_ws() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(3.0, 2, 5, 10.0, 3.0 /*errorSquared*/);
MDHistoWorkspace_sptr b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 2.0 /*errorSquared*/);
*a /= *b;
checkWorkspace(a, 1.5, 1.5 * 1.5 * (.5 + 1. / 3.));
}
//--------------------------------------------------------------------------------------
void test_divide_scalar() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(3.0, 2, 5, 10.0, 3.0 /*errorSquared*/);
a->divide(2.0, M_SQRT2);
checkWorkspace(a, 1.5, 1.5 * 1.5 * (.5 + 1. / 3.), 1.0);
}
//--------------------------------------------------------------------------------------
void test_exp() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 3.0);
a->exp();
checkWorkspace(a, std::exp(2.0), std::exp(2.0) * std::exp(2.0) * 3.0, 1.0);
}
//--------------------------------------------------------------------------------------
void test_log() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.71828, 2, 5, 10.0, 3.0);
a->log();
checkWorkspace(a, 1.0, 3.0 / (2.71828 * 2.71828), 1.0);
}
//--------------------------------------------------------------------------------------
void test_log10() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(10.0, 2, 5, 10.0, 3.0);
a->log10();
checkWorkspace(a, 1.0, 0.1886117 * 3. / 100., 1.0);
}
//--------------------------------------------------------------------------------------
void test_power() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.0, 2, 5, 10.0, 3.0);
a->power(2.);
checkWorkspace(a, 4.0, 16 * 4 * 3. / 4., 1.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_and() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
MDHistoWorkspace_sptr b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.34, 2, 5, 10.0, 2.0);
MDHistoWorkspace_sptr c = MDEventsTestHelper::makeFakeMDHistoWorkspace(0.00, 2, 5, 10.0, 2.0);
*a &= *b;
checkWorkspace(a, 1.0, 0.0);
*b &= *c;
checkWorkspace(b, 0.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_or() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
MDHistoWorkspace_sptr b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.34, 2, 5, 10.0, 2.0);
MDHistoWorkspace_sptr c = MDEventsTestHelper::makeFakeMDHistoWorkspace(0.00, 2, 5, 10.0, 2.0);
*a |= *b;
checkWorkspace(a, 1.0, 0.0);
*b |= *c;
checkWorkspace(b, 1.0, 0.0);
*c |= *c;
checkWorkspace(c, 0.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_xor() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
MDHistoWorkspace_sptr b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.34, 2, 5, 10.0, 2.0);
MDHistoWorkspace_sptr c = MDEventsTestHelper::makeFakeMDHistoWorkspace(0.00, 2, 5, 10.0, 2.0);
*a ^= *b;
checkWorkspace(a, 0.0, 0.0);
*b ^= *c;
checkWorkspace(b, 1.0, 0.0);
*c ^= *c;
checkWorkspace(c, 0.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_operatorNot() {
MDHistoWorkspace_sptr a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
MDHistoWorkspace_sptr b = MDEventsTestHelper::makeFakeMDHistoWorkspace(0.00, 2, 5, 10.0, 2.0);
a->operatorNot();
checkWorkspace(a, 0.0, 0.0);
b->operatorNot();
checkWorkspace(b, 1.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_operatorNot_maskedWorkspace() {
// 4x4x4 histoWorkspace
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1., 3, 4, 10.0);
std::vector<coord_t> min;
std::vector<coord_t> max;
// Make the box that covers the whole workspace.
min.emplace_back(0.f);
min.emplace_back(0.f);
min.emplace_back(0.f);
max.emplace_back(10.f);
max.emplace_back(10.f);
max.emplace_back(10.f);
// Create an function that encompases ALL of the total bins.
auto function = std::make_unique<MDBoxImplicitFunction>(min, max);
ws->setMDMasking(std::move(function));
ws->operatorNot();
checkWorkspace(ws, 1.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_lessThan() {
MDHistoWorkspace_sptr a, b, c;
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.34, 2, 5, 10.0, 2.0);
a->lessThan(*b);
checkWorkspace(a, 1.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(4.56, 2, 5, 10.0, 3.0);
b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.34, 2, 5, 10.0, 2.0);
a->lessThan(*b);
checkWorkspace(a, 0.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(4.56, 2, 5, 10.0, 3.0);
a->lessThan(4.57);
checkWorkspace(a, 1.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(4.56, 2, 5, 10.0, 3.0);
a->lessThan(4.55);
checkWorkspace(a, 0.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_greaterThan() {
MDHistoWorkspace_sptr a, b, c;
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.34, 2, 5, 10.0, 2.0);
a->greaterThan(*b);
checkWorkspace(a, 0.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(4.56, 2, 5, 10.0, 3.0);
b = MDEventsTestHelper::makeFakeMDHistoWorkspace(2.34, 2, 5, 10.0, 2.0);
a->greaterThan(*b);
checkWorkspace(a, 1.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(4.56, 2, 5, 10.0, 3.0);
a->greaterThan(4.57);
checkWorkspace(a, 0.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(4.56, 2, 5, 10.0, 3.0);
a->greaterThan(4.55);
checkWorkspace(a, 1.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_boolean_equalTo() {
MDHistoWorkspace_sptr a, b, c;
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
b = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23000001, 2, 5, 10.0, 2.0);
a->equalTo(*b);
checkWorkspace(a, 1.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.12, 2, 5, 10.0, 3.0);
a->equalTo(*b);
checkWorkspace(a, 0.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
a->equalTo(1.2300001);
checkWorkspace(a, 1.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
a->equalTo(2.34, 1e-4);
checkWorkspace(a, 0.0, 0.0);
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
a->equalTo(2.34, 3 /* large tolerance */);
checkWorkspace(a, 1.0, 0.0);
}
//--------------------------------------------------------------------------------------
void test_setUsingMask() {
MDHistoWorkspace_sptr a, mask, c;
a = MDEventsTestHelper::makeFakeMDHistoWorkspace(1.23, 2, 5, 10.0, 3.0);
mask = MDEventsTestHelper::makeFakeMDHistoWorkspace(0.00, 2, 5, 10.0,
0.0); // mask
c = MDEventsTestHelper::makeFakeMDHistoWorkspace(4.56, 2, 5, 10.0, 2.0);
a->setUsingMask(*mask, *c);
checkWorkspace(a, 1.23, 3.0);
mask->setTo(1.0, 0.0, 0.0);
a->setUsingMask(*mask, *c);
checkWorkspace(a, 4.56, 2.0);
a->setUsingMask(*mask, 7.89, 11);
checkWorkspace(a, 7.89, 11 * 11);
mask->setTo(0.0, 0.0, 0.0);
a->setUsingMask(*mask, 6.66, 7.77);
checkWorkspace(a, 7.89, 11 * 11);
// Now a partial mask
mask->setSignalAt(0, 1.0);
mask->setSignalAt(2, 1.0);
a->setTo(1.23, 4.56, 0.0);
a->setUsingMask(*mask, 6.78, 7.89);
TS_ASSERT_DELTA(a->getSignalAt(0), 6.78, 1e-5);
TS_ASSERT_DELTA(a->getSignalAt(1), 1.23, 1e-5);
TS_ASSERT_DELTA(a->getSignalAt(2), 6.78, 1e-5);
}
void doTestMasking(std::unique_ptr<MDImplicitFunction> function, size_t expectedNumberMasked) {
// 10x10x10 histoWorkspace
MDHistoWorkspace_sptr ws = MDEventsTestHelper::makeFakeMDHistoWorkspace(1, 3, 10, 10.0);
ws->setMDMasking(std::move(function));
size_t numberMasked = getNumberMasked(ws);
TSM_ASSERT_EQUALS("Didn't perform the masking as expected", expectedNumberMasked, numberMasked);
}
void test_maskNULL() {
doTestMasking(nullptr, 0); // 1000 out of 1000 bins masked
}
void test_mask_everything() {
std::vector<coord_t> min;
std::vector<coord_t> max;
// Make the box that covers half the bins in the workspace.
min.emplace_back(0.f);
min.emplace_back(0.f);
min.emplace_back(0.f);
max.emplace_back(10.f);
max.emplace_back(10.f);
max.emplace_back(10.f);
// Create an function that encompases ALL of the total bins.
auto function = std::make_unique<MDBoxImplicitFunction>(min, max);
doTestMasking(std::move(function), 1000); // 1000 out of 1000 bins masked