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ip = ws.getXIndex(0, 4.0, false, 3);
TS_ASSERT_EQUALS(ip.first, 3);
TS_ASSERT_DELTA(ip.second, 0.0, 1e-15);
ip = ws.getXIndex(0, 4.0, true);
TS_ASSERT_EQUALS(ip.first, 4);
TS_ASSERT_DELTA(ip.second, 0.0, 1e-15);
ip = ws.getXIndex(0, 4.0, false);
TS_ASSERT_EQUALS(ip.first, 3);
TS_ASSERT_DELTA(ip.second, 0.0, 1e-15);
ip = ws.getXIndex(0, 2.0, true, 3);
TS_ASSERT_EQUALS(ip.first, 4);
TS_ASSERT_DELTA(ip.second, 0.0, 1e-15);
ip = ws.getXIndex(0, 2.0, false, 3);
TS_ASSERT_EQUALS(ip.first, 3);
TS_ASSERT_DELTA(ip.second, 0.0, 1e-15);
ip = ws.getXIndex(0, 1.0, true, 3);
TS_ASSERT_EQUALS(ip.first, 4);
TS_ASSERT_DELTA(ip.second, 0.0, 1e-15);
ip = ws.getXIndex(0, 1.0, false, 3);
TS_ASSERT_EQUALS(ip.first, 3);
TS_ASSERT_DELTA(ip.second, 0.0, 1e-15);
ip = ws.getXIndex(0, 2.1, true);
TS_ASSERT_EQUALS(ip.first, 1);
TS_ASSERT_DELTA(ip.second, 0.1, 1e-15);
ip = ws.getXIndex(0, 2.1, false);
TS_ASSERT_EQUALS(ip.first, 2);
TS_ASSERT_DELTA(ip.second, 0.9, 1e-15);
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
const size_t start = 0;
size_t width = 0;
TS_ASSERT_THROWS(ws.getImageY(start, stop, width), std::runtime_error);
TS_ASSERT_THROWS_NOTHING(ws.getImageY(start, stop, width));
void test_getImage_wrong_start() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
size_t start = 10;
size_t width = 3;
TS_ASSERT_THROWS(ws.getImageY(start, stop, width), std::runtime_error);
TS_ASSERT_THROWS(ws.getImageY(start, stop, width), std::runtime_error);
TS_ASSERT_THROWS_NOTHING(ws.getImageY(start, stop, width));
void test_getImage_wrong_stop() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
size_t start = 0;
size_t width = 3;
TS_ASSERT_THROWS(ws.getImageY(start, stop, width), std::runtime_error);
TS_ASSERT_THROWS(ws.getImageY(start, stop, width), std::runtime_error);
TS_ASSERT_THROWS_NOTHING(ws.getImageY(start, stop, width));
void test_getImage_empty_set() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
size_t start = 1;
size_t width = 1;
TS_ASSERT_THROWS(ws.getImageY(start, stop, width), std::runtime_error);
TS_ASSERT_THROWS_NOTHING(ws.getImageY(start, stop, width));
void test_getImage_non_rectangular() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
size_t start = 0;
size_t width = 3;
TS_ASSERT_THROWS(ws.getImageY(start, stop, width), std::runtime_error);
void test_getImage_wrong_indexStart() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
const size_t start = 0;
const size_t width = 3;
double startX = 3;
double endX = 4;
TS_ASSERT_THROWS(ws.getImageY(start, stop, width, startX, endX),
std::runtime_error);
WorkspaceTester wsh;
startX = 2;
endX = 2;
TS_ASSERT_THROWS(wsh.getImageY(start, stop, width, startX, endX),
std::runtime_error);
void test_getImage_wrong_indexEnd() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
const size_t start = 0;
const size_t width = 3;
double startX = 1.0;
double endX = 0.0;
TS_ASSERT_THROWS(ws.getImageY(start, stop, width, startX, endX),
std::runtime_error);
WorkspaceTester wsh;
auto &X1 = ws.dataX(0);
X1[0] = 1.0;
X1[1] = 2.0;
startX = 1.0;
endX = 0.0;
TS_ASSERT_THROWS(wsh.getImageY(start, stop, width, startX, endX),
std::runtime_error);
void test_getImage_single_bin_histo() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
for (size_t i = 0; i < ws.getNumberHistograms(); ++i) {
ws.dataY(i)[0] = static_cast<double>(i + 1);
}
const size_t start = 0;
const size_t width = 3;
double startX = 0;
double endX = 3;
Mantid::API::MantidImage_sptr image;
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TS_ASSERT_THROWS_NOTHING(
image = ws.getImageY(start, stop, width, startX, endX));
if (!image)
return;
TS_ASSERT_EQUALS(image->size(), 3);
TS_ASSERT_EQUALS((*image)[0].size(), 3);
TS_ASSERT_EQUALS((*image)[1].size(), 3);
TS_ASSERT_EQUALS((*image)[2].size(), 3);
TS_ASSERT_EQUALS((*image)[0][0], 1);
TS_ASSERT_EQUALS((*image)[0][1], 2);
TS_ASSERT_EQUALS((*image)[0][2], 3);
TS_ASSERT_EQUALS((*image)[1][0], 4);
TS_ASSERT_EQUALS((*image)[1][1], 5);
TS_ASSERT_EQUALS((*image)[1][2], 6);
TS_ASSERT_EQUALS((*image)[2][0], 7);
TS_ASSERT_EQUALS((*image)[2][1], 8);
TS_ASSERT_EQUALS((*image)[2][2], 9);
}
void test_getImage_single_bin_points() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
for (size_t i = 0; i < ws.getNumberHistograms(); ++i) {
ws.dataY(i)[0] = static_cast<double>(i + 1);
}
const size_t start = 0;
const size_t width = 3;
double startX = 1;
double endX = 1;
Mantid::API::MantidImage_sptr image;
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TS_ASSERT_THROWS_NOTHING(
image = ws.getImageY(start, stop, width, startX, endX));
if (!image)
return;
TS_ASSERT_EQUALS(image->size(), 3);
TS_ASSERT_EQUALS((*image)[0].size(), 3);
TS_ASSERT_EQUALS((*image)[1].size(), 3);
TS_ASSERT_EQUALS((*image)[2].size(), 3);
TS_ASSERT_EQUALS((*image)[0][0], 1);
TS_ASSERT_EQUALS((*image)[0][1], 2);
TS_ASSERT_EQUALS((*image)[0][2], 3);
TS_ASSERT_EQUALS((*image)[1][0], 4);
TS_ASSERT_EQUALS((*image)[1][1], 5);
TS_ASSERT_EQUALS((*image)[1][2], 6);
TS_ASSERT_EQUALS((*image)[2][0], 7);
TS_ASSERT_EQUALS((*image)[2][1], 8);
TS_ASSERT_EQUALS((*image)[2][2], 9);
}
void test_getImage_multi_bin_histo() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
X[2] = 3.0;
X[3] = 4.0;
for (size_t i = 0; i < ws.getNumberHistograms(); ++i) {
ws.dataY(i)[0] = static_cast<double>(i + 1);
ws.dataY(i)[1] = static_cast<double>(i + 2);
ws.dataY(i)[2] = static_cast<double>(i + 3);
}
const size_t start = 0;
const size_t width = 3;
Mantid::API::MantidImage_sptr image;
TS_ASSERT_THROWS_NOTHING(image = ws.getImageY(start, stop, width));
if (!image)
return;
TS_ASSERT_EQUALS(image->size(), 3);
TS_ASSERT_EQUALS((*image)[0].size(), 3);
TS_ASSERT_EQUALS((*image)[1].size(), 3);
TS_ASSERT_EQUALS((*image)[2].size(), 3);
TS_ASSERT_EQUALS((*image)[0][0], 6);
TS_ASSERT_EQUALS((*image)[0][1], 9);
TS_ASSERT_EQUALS((*image)[0][2], 12);
TS_ASSERT_EQUALS((*image)[1][0], 15);
TS_ASSERT_EQUALS((*image)[1][1], 18);
TS_ASSERT_EQUALS((*image)[1][2], 21);
TS_ASSERT_EQUALS((*image)[2][0], 24);
TS_ASSERT_EQUALS((*image)[2][1], 27);
TS_ASSERT_EQUALS((*image)[2][2], 30);
}
void test_getImage_multi_bin_points() {
WorkspaceTester ws;
auto &X = ws.dataX(0);
X[0] = 1.0;
X[1] = 2.0;
X[2] = 3.0;
for (size_t i = 0; i < ws.getNumberHistograms(); ++i) {
ws.dataY(i)[0] = static_cast<double>(i + 1);
ws.dataY(i)[1] = static_cast<double>(i + 2);
ws.dataY(i)[2] = static_cast<double>(i + 3);
}
const size_t start = 0;
const size_t width = 3;
Mantid::API::MantidImage_sptr image;
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TS_ASSERT_THROWS_NOTHING(image = ws.getImageY(start, stop, width));
if (!image)
return;
TS_ASSERT_EQUALS(image->size(), 3);
TS_ASSERT_EQUALS((*image)[0].size(), 3);
TS_ASSERT_EQUALS((*image)[1].size(), 3);
TS_ASSERT_EQUALS((*image)[2].size(), 3);
TS_ASSERT_EQUALS((*image)[0][0], 6);
TS_ASSERT_EQUALS((*image)[0][1], 9);
TS_ASSERT_EQUALS((*image)[0][2], 12);
TS_ASSERT_EQUALS((*image)[1][0], 15);
TS_ASSERT_EQUALS((*image)[1][1], 18);
TS_ASSERT_EQUALS((*image)[1][2], 21);
TS_ASSERT_EQUALS((*image)[2][0], 24);
TS_ASSERT_EQUALS((*image)[2][1], 27);
TS_ASSERT_EQUALS((*image)[2][2], 30);
}
void test_setImage_too_large() {
auto image = createImage(2, 3);
ws.init(2, 2, 1);
TS_ASSERT_THROWS(ws.setImageY(*image), std::runtime_error);
void test_setImage_not_single_bin() {
auto image = createImage(2, 3);
ws.init(20, 3, 2);
TS_ASSERT_THROWS(ws.setImageY(*image), std::runtime_error);
void test_setImageY() {
auto image = createImage(2, 3);
ws.init(6, 2, 1);
TS_ASSERT_THROWS_NOTHING(ws.setImageY(*image));
TS_ASSERT_EQUALS(ws.readY(0)[0], 1);
TS_ASSERT_EQUALS(ws.readY(1)[0], 2);
TS_ASSERT_EQUALS(ws.readY(2)[0], 3);
TS_ASSERT_EQUALS(ws.readY(3)[0], 4);
TS_ASSERT_EQUALS(ws.readY(4)[0], 5);
TS_ASSERT_EQUALS(ws.readY(5)[0], 6);
}
void test_setImageE() {
auto image = createImage(2, 3);
ws.init(6, 2, 1);
TS_ASSERT_THROWS_NOTHING(ws.setImageE(*image));
TS_ASSERT_EQUALS(ws.readE(0)[0], 1);
TS_ASSERT_EQUALS(ws.readE(1)[0], 2);
TS_ASSERT_EQUALS(ws.readE(2)[0], 3);
TS_ASSERT_EQUALS(ws.readE(3)[0], 4);
TS_ASSERT_EQUALS(ws.readE(4)[0], 5);
TS_ASSERT_EQUALS(ws.readE(5)[0], 6);
}
void test_setImageY_start() {
auto image = createImage(2, 3);
ws.init(9, 2, 1);
TS_ASSERT_THROWS_NOTHING(ws.setImageY(*image, 3));
TS_ASSERT_EQUALS(ws.readY(3)[0], 1);
TS_ASSERT_EQUALS(ws.readY(4)[0], 2);
TS_ASSERT_EQUALS(ws.readY(5)[0], 3);
TS_ASSERT_EQUALS(ws.readY(6)[0], 4);
TS_ASSERT_EQUALS(ws.readY(7)[0], 5);
TS_ASSERT_EQUALS(ws.readY(8)[0], 6);
}
void test_setImageE_start() {
auto image = createImage(2, 3);
ws.init(9, 2, 1);
TS_ASSERT_THROWS_NOTHING(ws.setImageE(*image, 2));
TS_ASSERT_EQUALS(ws.readE(2)[0], 1);
TS_ASSERT_EQUALS(ws.readE(3)[0], 2);
TS_ASSERT_EQUALS(ws.readE(4)[0], 3);
TS_ASSERT_EQUALS(ws.readE(5)[0], 4);
TS_ASSERT_EQUALS(ws.readE(6)[0], 5);
TS_ASSERT_EQUALS(ws.readE(7)[0], 6);
/**
* Test declaring an input workspace and retrieving as const_sptr or sptr
*/
void testGetProperty_const_sptr() {
const std::string wsName = "InputWorkspace";
MatrixWorkspace_sptr wsInput = boost::make_shared<WorkspaceTester>();
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PropertyManagerHelper manager;
manager.declareProperty(wsName, wsInput, Direction::Input);
// Check property can be obtained as const_sptr or sptr
MatrixWorkspace_const_sptr wsConst;
MatrixWorkspace_sptr wsNonConst;
TS_ASSERT_THROWS_NOTHING(
wsConst = manager.getValue<MatrixWorkspace_const_sptr>(wsName));
TS_ASSERT(wsConst != NULL);
TS_ASSERT_THROWS_NOTHING(
wsNonConst = manager.getValue<MatrixWorkspace_sptr>(wsName));
TS_ASSERT(wsNonConst != NULL);
TS_ASSERT_EQUALS(wsConst, wsNonConst);
// Check TypedValue can be cast to const_sptr or to sptr
PropertyManagerHelper::TypedValue val(manager, wsName);
MatrixWorkspace_const_sptr wsCastConst;
MatrixWorkspace_sptr wsCastNonConst;
TS_ASSERT_THROWS_NOTHING(wsCastConst = (MatrixWorkspace_const_sptr)val);
TS_ASSERT(wsCastConst != NULL);
TS_ASSERT_THROWS_NOTHING(wsCastNonConst = (MatrixWorkspace_sptr)val);
TS_ASSERT(wsCastNonConst != NULL);
TS_ASSERT_EQUALS(wsCastConst, wsCastNonConst);
}
void test_x_uncertainty_can_be_set() {
// Arrange
WorkspaceTester ws;
const size_t numspec = 4;
const size_t j = 3;
const size_t k = j;
ws.init(numspec, j, k);
double values[3] = {10, 11, 17};
size_t workspaceIndexWithDx[3] = {0, 1, 2};
Mantid::MantidVec dxSpec0(j, values[0]);
auto dxSpec1 =
Kernel::make_cow<Mantid::HistogramData::HistogramDx>(j, values[1]);
auto dxSpec2 = boost::make_shared<Mantid::HistogramData::HistogramDx>(
Mantid::MantidVec(j, values[2]));
// Act
for (size_t spec = 0; spec < numspec; ++spec) {
TSM_ASSERT("Should not have any x resolution values", !ws.hasDx(spec));
}
ws.dataDx(workspaceIndexWithDx[0]) = dxSpec0;
ws.setSharedDx(workspaceIndexWithDx[1], dxSpec1);
ws.setSharedDx(workspaceIndexWithDx[2], dxSpec2);
auto compareValue =
[&values](double data, size_t index) { return data == values[index]; };
for (auto &index : workspaceIndexWithDx) {
TSM_ASSERT("Should have x resolution values", ws.hasDx(index));
TSM_ASSERT_EQUALS("Should have a length of 3", ws.dataDx(index).size(),
auto compareValueForSpecificWorkspaceIndex =
std::bind(compareValue, std::placeholders::_1, index);
auto &dataDx = ws.dataDx(index);
TSM_ASSERT("dataDx should allow access to the spectrum",
std::all_of(std::begin(dataDx), std::end(dataDx),
compareValueForSpecificWorkspaceIndex));
auto &readDx = ws.readDx(index);
TSM_ASSERT("readDx should allow access to the spectrum",
std::all_of(std::begin(readDx), std::end(readDx),
compareValueForSpecificWorkspaceIndex));
auto refDx = ws.sharedDx(index);
TSM_ASSERT("readDx should allow access to the spectrum",
std::all_of(std::begin(*refDx), std::end(*refDx),
compareValueForSpecificWorkspaceIndex));
TSM_ASSERT("Should not have any x resolution values", !ws.hasDx(3));
Mantid::API::MantidImage_sptr createImage(const size_t width,
const size_t height) {
auto image =
boost::make_shared<Mantid::API::MantidImage>(height, MantidVec(width));
std::iota(row.begin(), row.end(), startingValue);
startingValue += static_cast<double>(width);
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/**
* Create a test workspace. Can be histo or points depending on x/yLength.
* @param nVectors :: [input] Number of vectors
* @param xLength :: [input] Length of X vector
* @param yLength :: [input] Length of Y, E vectors
* @returns :: workspace
*/
WorkspaceTester createTestWorkspace(size_t nVectors, size_t xLength,
size_t yLength) {
WorkspaceTester ws;
ws.initialize(nVectors, xLength, yLength);
// X data
std::vector<double> xData(xLength);
std::iota(xData.begin(), xData.end(), 0.0);
// Y data
const auto yCounts = [&yLength](size_t wi) {
std::vector<double> v(yLength);
std::iota(v.begin(), v.end(), static_cast<double>(wi) * 10.0);
return v;
};
// E data
const auto errors = [&yLength](size_t wi) {
std::vector<double> v(yLength);
std::generate(v.begin(), v.end(), [&wi]() {
return std::sqrt(static_cast<double>(wi) * 10.0);
});
return v;
};
for (size_t wi = 0; wi < nVectors; ++wi) {
if (xLength == yLength) {
ws.setPoints(wi, xData);
} else if (xLength == yLength + 1) {
ws.setBinEdges(wi, xData);
} else {
throw std::invalid_argument(
"yLength must either be equal to xLength or xLength - 1");
}
ws.setCounts(wi, yCounts(wi));
ws.setCountStandardDeviations(wi, errors(wi));
}
return ws;
}
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boost::shared_ptr<MatrixWorkspace> ws;
class MatrixWorkspaceTestPerformance : public CxxTest::TestSuite {
public:
static MatrixWorkspaceTestPerformance *createSuite() {
return new MatrixWorkspaceTestPerformance();
}
static void destroySuite(MatrixWorkspaceTestPerformance *suite) {
delete suite;
}
MatrixWorkspaceTestPerformance() : m_workspace(nullptr) {
using namespace Mantid::Geometry;
size_t numberOfHistograms = 10000;
size_t numberOfBins = 1;
m_workspace.init(numberOfHistograms, numberOfBins, numberOfBins - 1);
bool includeMonitors = false;
bool startYNegative = true;
const std::string instrumentName("SimpleFakeInstrument");
InstrumentCreationHelper::addFullInstrumentToWorkspace(
m_workspace, includeMonitors, startYNegative, instrumentName);
Mantid::Kernel::V3D sourcePos(0, 0, 0);
Mantid::Kernel::V3D samplePos(0, 0, 1);
Mantid::Kernel::V3D trolley1Pos(0, 0, 3);
Mantid::Kernel::V3D trolley2Pos(0, 0, 6);
m_paramMap = boost::make_shared<Mantid::Geometry::ParameterMap>();
auto baseInstrument = ComponentCreationHelper::sansInstrument(
sourcePos, samplePos, trolley1Pos, trolley2Pos);
auto sansInstrument =
boost::make_shared<Instrument>(baseInstrument, m_paramMap);
// See component creation helper for instrument definition
m_sansBank = sansInstrument->getComponentByName("Bank1");
numberOfHistograms = sansInstrument->getNumberDetectors();
m_workspaceSans.init(numberOfHistograms, numberOfBins, numberOfBins - 1);
m_workspaceSans.setInstrument(sansInstrument);
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m_workspaceSans.getAxis(0)->setUnit("TOF");
m_workspaceSans.rebuildSpectraMapping();
m_zRotation =
Mantid::Kernel::Quat(180, V3D(0, 0, 1)); // rotate 180 degrees around z
m_pos = Mantid::Kernel::V3D(1, 1, 1);
}
/// This test is equivalent to GeometryInfoFactoryTestPerformance, see there.
void test_typical() {
auto instrument = m_workspace.getInstrument();
auto source = instrument->getSource();
auto sample = instrument->getSample();
auto L1 = source->getDistance(*sample);
double result = 0.0;
for (size_t i = 0; i < 10000; ++i) {
auto detector = m_workspace.getDetector(i);
result += L1;
result += detector->getDistance(*sample);
result += m_workspace.detectorTwoTheta(*detector);
// We are computing and using the result to fool the optimizer.
TS_ASSERT_DELTA(result, 5214709.740869, 1e-6);
}
void test_calculateL2() {
/*
* Simulate the L2 calculation performed via the Workspace/Instrument
* interface.
*/
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auto instrument = m_workspaceSans.getInstrument();
auto sample = instrument->getSample();
double l2 = 0;
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for (size_t i = 0; i < m_workspaceSans.getNumberHistograms(); ++i) {
auto detector = m_workspaceSans.getDetector(i);
l2 += detector->getDistance(*sample);
}
// Prevent optimization
TS_ASSERT(l2 > 0);
}
void test_calculateL2_x10() {
/*
* Simulate the L2 calculation performed via the Workspace/Instrument
* interface. Repeat several times to benchmark any caching/optmisation that
* might be taken place in parameter maps.
*/
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auto instrument = m_workspaceSans.getInstrument();
auto sample = instrument->getSample();
double l2 = 0;
int count = 0;
while (count < 10) {
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for (size_t i = 0; i < m_workspaceSans.getNumberHistograms(); ++i) {
auto detector = m_workspaceSans.getDetector(i);
l2 += detector->getDistance(*sample);
}
++count;
}
// Prevent optimization
TS_ASSERT(l2 > 0);
}
* Rotate a bank in the workspace and read the positions out again. Very
* typical.
void test_rotate_bank_and_read_positions_x10() {
using namespace Mantid::Geometry;
using namespace Mantid::Kernel;
int count = 0;
// Repeated execution to improve statistics and for comparison purposes with
// future updates
while (count < 10) {
// Rotate the bank
ComponentHelper::rotateComponent(
*m_sansBank, *m_paramMap, m_zRotation,
Mantid::Geometry::ComponentHelper::Relative);
V3D pos;
for (size_t i = 1; i < m_workspaceSans.getNumberHistograms(); ++i) {
pos += m_workspaceSans.getDetector(i)->getPos();
}
++count;
* Move a bank in the workspace and read the positions out again. Very
* typical.
void test_move_bank_and_read_positions_x10() {
using namespace Mantid::Geometry;
using namespace Mantid::Kernel;
int count = 0;
// Repeated execution to improve statistics and for comparison purposes with
// future updates
while (count < 10) {
// move the bank
ComponentHelper::moveComponent(
*m_sansBank, *m_paramMap, m_pos,
Mantid::Geometry::ComponentHelper::Relative);
V3D pos;
for (size_t i = 1; i < m_workspaceSans.getNumberHistograms(); ++i) {
pos += m_workspaceSans.getDetector(i)->getPos();
}
++count;
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// As test_rotate_bank_and_read_positions_x10 but based on SpectrumInfo.
void test_rotate_bank_and_read_positions_SpectrumInfo_x10() {
int count = 0;
while (count < 10) {
// Rotate the bank
ComponentHelper::rotateComponent(
*m_sansBank, *m_paramMap, m_zRotation,
Mantid::Geometry::ComponentHelper::Relative);
V3D pos;
const auto &spectrumInfo = m_workspaceSans.spectrumInfo();
for (size_t i = 1; i < m_workspaceSans.getNumberHistograms(); ++i) {
pos += spectrumInfo.position(i);
}
++count;
}
}
// As test_move_bank_and_read_positions_x10 but based on SpectrumInfo.
void test_move_bank_and_read_positions_SpectrumInfo_x10() {
int count = 0;
while (count < 10) {
// move the bank
ComponentHelper::moveComponent(
*m_sansBank, *m_paramMap, m_pos,
Mantid::Geometry::ComponentHelper::Relative);
V3D pos;
const auto &spectrumInfo = m_workspaceSans.spectrumInfo();
for (size_t i = 1; i < m_workspaceSans.getNumberHistograms(); ++i) {
pos += spectrumInfo.position(i);
}
++count;
}
}
private:
WorkspaceTester m_workspace;
WorkspaceTester m_workspaceSans;
Mantid::Kernel::Quat m_zRotation;
Mantid::Kernel::V3D m_pos;
Mantid::Geometry::IComponent_const_sptr m_sansBank;
boost::shared_ptr<Mantid::Geometry::ParameterMap> m_paramMap;