Newer
Older
#ifndef MANTID_ALGORITHMS_STITCH1DMANYTEST_H_
#define MANTID_ALGORITHMS_STITCH1DMANYTEST_H_
#include <cxxtest/TestSuite.h>
#include "MantidAPI/AnalysisDataService.h"
#include "MantidAPI/Axis.h"
#include "MantidAPI/ITableWorkspace.h"
#include "MantidAPI/MatrixWorkspace.h"
#include "MantidAPI/WorkspaceFactory.h"
#include "MantidAPI/WorkspaceGroup.h"
#include "MantidAPI/WorkspaceHistory.h"
#include "MantidAlgorithms/CreateWorkspace.h"
#include "MantidAlgorithms/GroupWorkspaces.h"
#include "MantidAlgorithms/Stitch1D.h"
#include "MantidAlgorithms/Stitch1DMany.h"
#include "MantidKernel/UnitFactory.h"
#include <math.h>
using namespace Mantid::API;
using namespace Mantid::Kernel;
using Mantid::Algorithms::Stitch1DMany;
using Mantid::Algorithms::CreateWorkspace;
using Mantid::Algorithms::GroupWorkspaces;
class Stitch1DManyTest : public CxxTest::TestSuite {
private:
/** Create a histogram workspace with two spectra and 10 bins. This can also
* be run using the CreateWorkspace algorithm which leaves the output workspace
* in the ADS as well.
* @param xstart :: the first X value (common to both spectra)
* @param deltax :: the bin width
* @param value1 :: the Y counts in the first spectrum (constant for all X)
* @param value2 :: the Y counts in the second spectrum (constant for all X)
* @param runAlg :: set true to run the CreateWorkspace algorithm
* @oaram outWSName :: output workspace name used if running CreateWorkspace
*/
MatrixWorkspace_sptr createUniformWorkspace(double xstart, double deltax,
double value1, double value2,
bool runAlg = false,
std::string outWSName = "") {
std::vector<double> xData1(nbins + 1);
std::vector<double> yData1(nbins);
std::vector<double> eData1(nbins);
std::vector<double> xData2(nbins + 1);
std::vector<double> yData2(nbins);
std::vector<double> eData2(nbins);
for (int i = 0; i < nbins; i++) {
// First spectrum
xData1[i] = xstart + i * deltax;
yData1[i] = value1;
eData1[i] = std::sqrt(value1);
xData2[i] = xstart + i * deltax;
yData2[i] = value2;
eData2[i] = std::sqrt(value2);
}
xData1[nbins] = xData1[nbins - 1] + deltax;
xData2[nbins] = xData2[nbins - 1] + deltax;
MatrixWorkspace_sptr ws;
if (!runAlg) {
ws = WorkspaceFactory::Instance().create("Workspace2D", 2, nbins + 1,
ws->dataX(0) = xData1;
ws->dataX(1) = xData2;
ws->dataY(0) = yData1;
ws->dataY(1) = yData2;
ws->dataE(0) = eData1;
ws->dataE(1) = eData2;
ws->getAxis(0)->unit() = UnitFactory::Instance().create("Wavelength");
// Concatenate data vectors into one vector
xData1.insert(xData1.end(), xData2.begin(), xData2.end());
yData1.insert(yData1.end(), yData2.begin(), yData2.end());
eData1.insert(eData1.end(), eData2.begin(), eData2.end());
CreateWorkspace cw;
cw.initialize();
cw.setProperty("DataX", xData1);
cw.setProperty("DataY", yData1);
cw.setProperty("DataE", eData1);
cw.setProperty("NSpec", 2);
cw.setProperty("UnitX", "Wavelength");
cw.setPropertyValue("OutputWorkspace", outWSName);
cw.execute();
ws = AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>(
/** Groups workspaces using GroupWorkspaces algorithm. The output workpace is
* left in the ADS as well.
* @param inputWSNames :: input workspaces names
* @param outputWSName :: output workspace name
*/
WorkspaceGroup_sptr doGroupWorkspaces(std::string inputWSNames,
std::string outWSName) {
GroupWorkspaces gw;
gw.initialize();
gw.setProperty("InputWorkspaces", inputWSNames);
gw.setProperty("OutputWorkspace", outWSName);
gw.execute();
WorkspaceGroup_sptr ws =
AnalysisDataService::Instance().retrieveWS<WorkspaceGroup>(outWSName);
return ws;
}
/** Obtain all algorithm histories from a workspace
* @param inputWS :: the input workspace
* @return vector of names of algorithm histories
*/
std::vector<std::string> getHistory(MatrixWorkspace_sptr inputWS) {
std::vector<std::string> histNames;
auto histories = inputWS->history().getAlgorithmHistories();
for (auto &hist : histories) {
histNames.push_back(hist->name());
}
return histNames;
}
public:
// This pair of boilerplate methods prevent the suite being created statically
// This means the constructor isn't called when running other tests
static Stitch1DManyTest *createSuite() { return new Stitch1DManyTest(); }
static void destroySuite(Stitch1DManyTest *suite) { delete suite; }
Stitch1DManyTest() {
auto ws1 = WorkspaceFactory::Instance().createTable();
auto ws2 = WorkspaceFactory::Instance().createTable();
AnalysisDataService::Instance().addOrReplace("ws1", ws1);
AnalysisDataService::Instance().addOrReplace("ws2", ws2);
}
void test_init() {
Stitch1DMany alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
}
void test_throws_with_too_few_workspaces() {
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1");
alg.setProperty("Params", "0.1, 0.1, 1.8");
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS(alg.execute(), std::runtime_error);
}
void test_throws_with_wrong_number_of_start_overlaps() {
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2");
alg.setProperty("Params", "0.1");
alg.setProperty("StartOverlaps", "-0.5, -0.6");
alg.setProperty("EndOverlaps", "0.5");
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS(alg.execute(), std::runtime_error);
}
void test_throws_with_wrong_number_of_end_overlaps() {
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2");
alg.setProperty("Params", "0.1");
alg.setProperty("StartOverlaps", "-0.5");
alg.setProperty("EndOverlaps", "0.5, 0.6");
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS(alg.execute(), std::runtime_error);
}
void test_workspace_types_differ_throws() {
// One table workspace, one matrix workspace
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = WorkspaceFactory::Instance().createTable();
AnalysisDataService::Instance().addOrReplace("ws1", ws1);
AnalysisDataService::Instance().addOrReplace("ws2", ws2);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2");
alg.setProperty("Params", "0.1");
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS(alg.execute(), std::runtime_error);
}
void test_workspace_group_size_differ_throws() {
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws3 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5);
WorkspaceGroup_sptr group1 = boost::make_shared<WorkspaceGroup>();
group1->addWorkspace(ws1);
group1->addWorkspace(ws2);
WorkspaceGroup_sptr group2 = boost::make_shared<WorkspaceGroup>();
group2->addWorkspace(ws3);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("group1", group1);
AnalysisDataService::Instance().addOrReplace("group2", group2);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS(alg.execute(), std::runtime_error);
}
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
void test_scale_factor_from_period_out_of_range_throws() {
// First group
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.1, 0.1, 1.5, 2.5);
WorkspaceGroup_sptr group1 = boost::make_shared<WorkspaceGroup>();
group1->addWorkspace(ws1);
group1->addWorkspace(ws2);
// Second group
auto ws3 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws4 = createUniformWorkspace(0.8, 0.1, 1.6, 2.6);
WorkspaceGroup_sptr group2 = boost::make_shared<WorkspaceGroup>();
group2->addWorkspace(ws3);
group2->addWorkspace(ws4);
// Third group
auto ws5 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5);
auto ws6 = createUniformWorkspace(1.6, 0.1, 1.6, 3.0);
WorkspaceGroup_sptr group3 = boost::make_shared<WorkspaceGroup>();
group3->addWorkspace(ws5);
group3->addWorkspace(ws6);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("group1", group1);
AnalysisDataService::Instance().addOrReplace("group2", group2);
AnalysisDataService::Instance().addOrReplace("group3", group3);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2, group3");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setProperty("ScaleFactorFromPeriod", 4);
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS(alg.execute(), std::runtime_error);
}
void test_two_workspaces() {
// Two matrix workspaces with two spectra each
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("ws1", ws1);
AnalysisDataService::Instance().addOrReplace("ws2", ws2);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2");
alg.setProperty("Params", "0.1, 0.1, 1.8");
alg.setProperty("StartOverlaps", "0.8");
alg.setProperty("EndOverlaps", "1.1");
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto stitched = boost::dynamic_pointer_cast<MatrixWorkspace>(outws);
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 17);
TS_ASSERT_DELTA(stitched->y(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 2, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.77919, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 1.24316, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.41421, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 1.10982, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 1.79063, 0.00001);
// Test out scale factors
std::vector<double> scales = alg.getProperty("OutScaleFactors");
TS_ASSERT_EQUALS(scales.size(), 1);
// Only scale factor for first spectrum is returned
TS_ASSERT_DELTA(scales.front(), 0.90909, 0.00001);
// If scale factor for second spectrum was returned it should be 0.952381
// Cross-check that the result of using Stitch1DMany with two workspaces
// is the same as using Stitch1D
Mantid::Algorithms::Stitch1D alg2;
alg2.setChild(true);
alg2.initialize();
alg2.setProperty("LHSWorkspace", ws1);
alg2.setProperty("RHSWorkspace", ws2);
alg2.setProperty("Params", "0.1, 0.1, 1.8");
alg2.setProperty("StartOverlap", "0.8");
alg2.setProperty("EndOverlap", "1.1");
alg2.setPropertyValue("OutputWorkspace", "outws");
alg2.execute();
MatrixWorkspace_sptr stitched2 = alg2.getProperty("OutputWorkspace");
TS_ASSERT_EQUALS(stitched->x(0).rawData(), stitched2->x(0).rawData());
TS_ASSERT_EQUALS(stitched->y(0).rawData(), stitched2->y(0).rawData());
TS_ASSERT_EQUALS(stitched->e(0).rawData(), stitched2->e(0).rawData());
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
// Remove workspaces from ADS
AnalysisDataService::Instance().remove("ws1");
AnalysisDataService::Instance().remove("ws2");
}
void test_three_workspaces() {
// Three matrix workspaces with two spectra each
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws3 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("ws1", ws1);
AnalysisDataService::Instance().addOrReplace("ws2", ws2);
AnalysisDataService::Instance().addOrReplace("ws3", ws3);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2, ws3");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setProperty("StartOverlaps", "0.8, 1.6");
alg.setProperty("EndOverlaps", "1.1, 1.8");
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto stitched = boost::dynamic_pointer_cast<MatrixWorkspace>(outws);
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 25);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[24], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[24], 2, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.77919, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 0.90865, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[24], 1.33144, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.41421, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 1.10982, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 1.33430, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[24], 2.00079, 0.00001);
// Test out scale factors
std::vector<double> scales = alg.getProperty("OutScaleFactors");
TS_ASSERT_EQUALS(scales.size(), 2);
TS_ASSERT_DELTA(scales.front(), 0.9090, 0.0001);
TS_ASSERT_DELTA(scales.back(), 0.6666, 0.0001);
// Remove workspaces from ADS
AnalysisDataService::Instance().remove("ws1");
AnalysisDataService::Instance().remove("ws2");
AnalysisDataService::Instance().remove("ws3");
}
void test_stitches_three_no_overlaps_specified_should_still_work() {
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws3 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("ws1", ws1);
AnalysisDataService::Instance().addOrReplace("ws2", ws2);
AnalysisDataService::Instance().addOrReplace("ws3", ws3);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2, ws3");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS_NOTHING(alg.execute());
}
void test_three_workspaces_scale_factor_given() {
// Three matrix workspaces with two spectra each
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws3 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("ws1", ws1);
AnalysisDataService::Instance().addOrReplace("ws2", ws2);
AnalysisDataService::Instance().addOrReplace("ws3", ws3);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2, ws3");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setProperty("StartOverlaps", "0.8, 1.6");
alg.setProperty("EndOverlaps", "1.1, 1.8");
alg.setPropertyValue("OutputWorkspace", "outws");
alg.setProperty("UseManualScaleFactors", "1");
alg.setProperty("ManualScaleFactors", std::vector<double>{0.5});
alg.execute();
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto stitched = boost::dynamic_pointer_cast<MatrixWorkspace>(outws);
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 25);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[10], 0.55000, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[18], 0.75000, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[10], 1.05000, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[18], 1.25000, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1.00000, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[10], 0.52440, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[18], 0.61237, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.41421, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[10], 0.72457, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[18], 0.79057, 0.00001);
// Test out scale factors
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
std::vector<double> scales = alg.getProperty("OutScaleFactors");
TS_ASSERT_EQUALS(scales.size(), 2);
TS_ASSERT_EQUALS(scales.front(), 0.5);
TS_ASSERT_EQUALS(scales.back(), 0.5);
// Remove workspaces from ADS
AnalysisDataService::Instance().remove("ws1");
AnalysisDataService::Instance().remove("ws2");
AnalysisDataService::Instance().remove("ws3");
}
void test_one_group_two_workspaces() {
// One group with two workspaces
// Wrong: this algorithm can't stitch workspaces within a group
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
WorkspaceGroup_sptr group = boost::make_shared<WorkspaceGroup>();
group->addWorkspace(ws1);
group->addWorkspace(ws2);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("group1", group);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "group1");
alg.setProperty("Params", "0.1");
alg.setProperty("StartOverlaps", "0.8");
alg.setProperty("EndOverlaps", "1.1");
alg.setPropertyValue("OutputWorkspace", "outws");
TS_ASSERT_THROWS(alg.execute(), std::runtime_error);
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
AnalysisDataService::Instance().clear();
}
void test_groups_with_single_workspace() {
// Three groups with a single matrix workspace each. Each matrix workspace
// has two spectra.
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws3 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5);
WorkspaceGroup_sptr group1 = boost::make_shared<WorkspaceGroup>();
group1->addWorkspace(ws1);
WorkspaceGroup_sptr group2 = boost::make_shared<WorkspaceGroup>();
group2->addWorkspace(ws2);
WorkspaceGroup_sptr group3 = boost::make_shared<WorkspaceGroup>();
group3->addWorkspace(ws3);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("group1", group1);
AnalysisDataService::Instance().addOrReplace("group2", group2);
AnalysisDataService::Instance().addOrReplace("group3", group3);
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2, group3");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setProperty("StartOverlaps", "0.8, 1.6");
alg.setProperty("EndOverlaps", "1.1, 1.8");
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// The above is equivalent to what we've done in test_three_workspaces()
// so we should get the same values in the output workspace
// the only difference is that output will be a group
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto group = boost::dynamic_pointer_cast<WorkspaceGroup>(outws);
TS_ASSERT_EQUALS(group->getNumberOfEntries(), 1);
auto stitched =
boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(0));
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 25);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[24], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[24], 2, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.77919, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 0.90865, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[24], 1.33144, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.41421, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 1.10982, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 1.33430, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[24], 2.00079, 0.00001);
// Test out scale factors
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
std::vector<double> scales = alg.getProperty("OutScaleFactors");
TS_ASSERT_EQUALS(scales.size(), 2);
TS_ASSERT_DELTA(scales.front(), 0.9090, 0.0001);
TS_ASSERT_DELTA(scales.back(), 0.6666, 0.0001);
// Clear the ADS
AnalysisDataService::Instance().clear();
}
void test_two_groups_with_two_workspaces_each() {
// Two groups with two matrix workspaces each.
// Each matrix workspace has two spectra.
// First group
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.1, 0.1, 1.5, 2.5);
WorkspaceGroup_sptr group1 = boost::make_shared<WorkspaceGroup>();
group1->addWorkspace(ws1);
group1->addWorkspace(ws2);
// Second group
auto ws3 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws4 = createUniformWorkspace(0.8, 0.1, 1.6, 2.6);
WorkspaceGroup_sptr group2 = boost::make_shared<WorkspaceGroup>();
group2->addWorkspace(ws3);
group2->addWorkspace(ws4);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("group1", group1);
AnalysisDataService::Instance().addOrReplace("group2", group2);
// ws1 will be stitched with ws3
// ws2 will be stitched with ws4
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2");
alg.setProperty("Params", "0.1");
alg.setProperty("StartOverlaps", "0.8");
alg.setProperty("EndOverlaps", "1.1");
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto group = boost::dynamic_pointer_cast<WorkspaceGroup>(outws);
TS_ASSERT_EQUALS(group->getNumberOfEntries(), 2);
// First item in the output group
auto stitched =
boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(0));
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 17);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 2, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.77919, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 1.24316, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.41421, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 1.10982, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 1.79063, 0.00001);
// Second item in the output group
stitched = boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(1));
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 17);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 1.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 1.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 2.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 2.5, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1.22474, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.95883, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 1.54110, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.58114, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 1.24263, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 2.00959, 0.00001);
// Test out scale factors
std::vector<double> scales = alg.getProperty("OutScaleFactors");
TS_ASSERT_EQUALS(scales.size(), 2);
TS_ASSERT_DELTA(scales.front(), 0.9090, 0.0001); // 1.0/1.1
TS_ASSERT_DELTA(scales.back(), 0.9375, 0.0001); // 1.5/1.6
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
AnalysisDataService::Instance().clear();
}
void test_two_groups_with_two_workspaces_scale_factor_given() {
// Two groups with two matrix workspaces each.
// Each matrix workspace has two spectra.
// First group
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.1, 0.1, 1.5, 2.5);
WorkspaceGroup_sptr group1 = boost::make_shared<WorkspaceGroup>();
group1->addWorkspace(ws1);
group1->addWorkspace(ws2);
// Second group
auto ws3 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws4 = createUniformWorkspace(0.8, 0.1, 1.6, 2.6);
WorkspaceGroup_sptr group2 = boost::make_shared<WorkspaceGroup>();
group2->addWorkspace(ws3);
group2->addWorkspace(ws4);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("group1", group1);
AnalysisDataService::Instance().addOrReplace("group2", group2);
// ws1 will be stitched with ws3
// ws2 will be stitched with ws4
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2");
alg.setProperty("Params", "0.1");
alg.setProperty("StartOverlaps", "0.8");
alg.setProperty("EndOverlaps", "1.1");
alg.setProperty("UseManualScaleFactors", "1");
alg.setProperty("ManualScaleFactors", std::vector<double>{0.5});
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// The above is equivalent to what we've don in test_three_workspaces()
// so we should get the same values in the output workspace
// the only difference is that output will be a group
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto group = boost::dynamic_pointer_cast<WorkspaceGroup>(outws);
TS_ASSERT_EQUALS(group->getNumberOfEntries(), 2);
// First item in the output group
auto stitched =
boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(0));
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 17);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 0.64705, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 0.55000, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 1.24752, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 1.05000, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.46442, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 0.52440, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.41421, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 0.64485, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 0.72456, 0.00001);
// Second item in the output group
stitched = boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(1));
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 17);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 0.94736, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 0.8, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[0], 2.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 1.54762, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 1.3, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[0], 1.22474, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.56195, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 0.63245, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[0], 1.58114, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 0.71824, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 0.80622, 0.00001);
// Test out scale factors
std::vector<double> scales = alg.getProperty("OutScaleFactors");
TS_ASSERT_EQUALS(scales.size(), 2);
TS_ASSERT_DELTA(scales.front(), 0.5000, 0.0001);
TS_ASSERT_DELTA(scales.back(), 0.5000, 0.0001);
// Clear the ADS
AnalysisDataService::Instance().clear();
}
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
void test_two_groups_with_three_workspaces_scale_factor_from_period() {
// Three groups with two matrix workspaces each.
// Each matrix workspace has two spectra.
// First group
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2.);
auto ws2 = createUniformWorkspace(0.1, 0.1, 1.5, 2.5);
WorkspaceGroup_sptr group1 = boost::make_shared<WorkspaceGroup>();
group1->addWorkspace(ws1);
group1->addWorkspace(ws2);
// Second group
auto ws3 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1);
auto ws4 = createUniformWorkspace(0.8, 0.1, 1.6, 2.6);
WorkspaceGroup_sptr group2 = boost::make_shared<WorkspaceGroup>();
group2->addWorkspace(ws3);
group2->addWorkspace(ws4);
// Third group
auto ws5 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5);
auto ws6 = createUniformWorkspace(1.6, 0.1, 1.6, 3.0);
WorkspaceGroup_sptr group3 = boost::make_shared<WorkspaceGroup>();
group3->addWorkspace(ws5);
group3->addWorkspace(ws6);
// The algorithm needs the workspaces to be in the ADS
AnalysisDataService::Instance().addOrReplace("group1", group1);
AnalysisDataService::Instance().addOrReplace("group2", group2);
AnalysisDataService::Instance().addOrReplace("group3", group3);
// ws1 will be stitched with ws3 and ws5
// ws2 will be stitched with ws4 and ws6
Stitch1DMany alg;
alg.setChild(true);
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2, group3");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setProperty("StartOverlaps", "0.8, 1.6");
alg.setProperty("EndOverlaps", "1.1, 1.9");
alg.setProperty("UseManualScaleFactors", "1");
alg.setProperty("ScaleFactorFromPeriod", 2);
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// By keeping ManualScaleFactors empty (default value) it allows workspaces
// in other periods to be scaled by scale factors from a specific period.
// Periods 0 and 2 workspaces will be scaled by scale factors from period 1.
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto group = boost::dynamic_pointer_cast<WorkspaceGroup>(outws);
TS_ASSERT_EQUALS(group->getNumberOfEntries(), 2);
// First item in the output group
auto stitched =
boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(0));
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 25);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 1.01589, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 0.97288, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[24], 0.9375, 0.00001);
// Second spectrum, Y values
TS_ASSERT_DELTA(stitched->y(1)[0], 2, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 1.98375, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 1.70307, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[24], 1.56250, 0.00001);
// First spectrum, E values
TS_ASSERT_DELTA(stitched->e(0)[0], 1, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.70111, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 0.60401, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[24], 0.76547, 0.00001);
// Second spectrum, E values
TS_ASSERT_DELTA(stitched->e(1)[0], 1.41421, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 0.97973, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 0.79916, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[24], 0.98821, 0.00001);
// Second item in the output group
stitched = boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(1));
TS_ASSERT_EQUALS(stitched->getNumberHistograms(), 2);
TS_ASSERT_EQUALS(stitched->blocksize(), 25);
// First spectrum, Y values
TS_ASSERT_DELTA(stitched->y(0)[0], 1.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[9], 1.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[16], 1.15385, 0.00001);
TS_ASSERT_DELTA(stitched->y(0)[24], 1, 0.00001);
// Second spectrum, Y values
TS_ASSERT_DELTA(stitched->y(1)[0], 2.5, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[9], 2.46735, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[16], 2.06568, 0.00001);
TS_ASSERT_DELTA(stitched->y(1)[24], 1.87500, 0.00001);
// First spectrum, E values
TS_ASSERT_DELTA(stitched->e(0)[0], 1.22474, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[9], 0.85194, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[16], 0.65779, 0.00001);
TS_ASSERT_DELTA(stitched->e(0)[24], 0.79057, 0.00001);
// Second spectrum, E values
TS_ASSERT_DELTA(stitched->e(1)[0], 1.58114, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[9], 1.09265, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[16], 0.88013, 0.00001);
TS_ASSERT_DELTA(stitched->e(1)[24], 1.08253, 0.00001);
// Test out scale factors
std::vector<double> scales = alg.getProperty("OutScaleFactors");
TS_ASSERT_EQUALS(scales.size(), 4);
TS_ASSERT_DELTA(scales[0], 0.9375, 0.0001);
TS_ASSERT_DELTA(scales[1], 0.6249, 0.0001);
TS_ASSERT_DELTA(scales[2], 0.9375, 0.0001);
TS_ASSERT_DELTA(scales[3], 0.6249, 0.0001);
// Clear the ADS
AnalysisDataService::Instance().clear();
}
void test_two_workspaces_history() {
// This test is functionally similar to test_two_workspaces
// Two matrix workspaces with two spectra each
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2., true, "ws1");
auto ws2 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1, true, "ws2");
Stitch1DMany alg;
alg.initialize();
alg.setProperty("InputWorkspaces", "ws1, ws2");
alg.setProperty("Params", "0.1, 0.1, 1.8");
alg.setProperty("StartOverlaps", "0.8");
alg.setProperty("EndOverlaps", "1.1");
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto stitched =
AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>("outws");
// Test the algorithm histories
std::vector<std::string> histNames;
auto histories = stitched->history().getAlgorithmHistories();
for (auto &hist : histories) {
histNames.push_back(hist->name());
TS_ASSERT_EQUALS(histNames[0], "CreateWorkspace");
TS_ASSERT_EQUALS(histNames[1], "CreateWorkspace");
TS_ASSERT_EQUALS(histNames[2], "Stitch1DMany");
// Remove workspaces from ADS
AnalysisDataService::Instance().clear();
}
void test_two_groups_history() {
// This test is functionally similar to
// test_two_groups_with_two_workspaces_each
// Two groups with two matrix workspaces each.
// Each matrix workspace has two spectra.
// First group
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2., true, "ws1");
auto ws2 = createUniformWorkspace(0.1, 0.1, 1.5, 2.5, true, "ws2");
WorkspaceGroup_sptr group1 = doGroupWorkspaces("ws1, ws2", "group1");
// Second group
auto ws3 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1, true, "ws3");
auto ws4 = createUniformWorkspace(0.8, 0.1, 1.6, 2.6, true, "ws4");
WorkspaceGroup_sptr group2 = doGroupWorkspaces("ws3, ws4", "group2");
Stitch1DMany alg;
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2");
alg.setProperty("Params", "0.1");
alg.setProperty("StartOverlaps", "0.8");
alg.setProperty("EndOverlaps", "1.1");
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto group =
AnalysisDataService::Instance().retrieveWS<WorkspaceGroup>("outws");
TS_ASSERT_EQUALS(group->getNumberOfEntries(), 2);
// First item in the output group
auto stitched =
boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(0));
// Test the algorithm histories
std::vector<std::string> histNames;
auto histories = stitched->history().getAlgorithmHistories();
for (auto &hist : histories) {
histNames.push_back(hist->name());
TS_ASSERT_EQUALS(histNames[0], "CreateWorkspace");
TS_ASSERT_EQUALS(histNames[1], "GroupWorkspaces");
TS_ASSERT_EQUALS(histNames[2], "CreateWorkspace");
TS_ASSERT_EQUALS(histNames[3], "GroupWorkspaces");
TS_ASSERT_EQUALS(histNames[4], "Stitch1DMany");
// Remove workspaces from ADS
AnalysisDataService::Instance().clear();
}
void test_two_groups_scale_factor_from_period_history() {
// This test is functionally similar to
// test_two_groups_with_three_workspaces_scale_factor_from_period
// Three groups with two matrix workspaces each.
// Each matrix workspace has two spectra.
// First group
auto ws1 = createUniformWorkspace(0.1, 0.1, 1., 2., true, "ws1");
auto ws2 = createUniformWorkspace(0.1, 0.1, 1.5, 2.5, true, "ws2");
WorkspaceGroup_sptr group1 = doGroupWorkspaces("ws1, ws2", "group1");
// Second group
auto ws3 = createUniformWorkspace(0.8, 0.1, 1.1, 2.1, true, "ws3");
auto ws4 = createUniformWorkspace(0.8, 0.1, 1.6, 2.6, true, "ws4");
WorkspaceGroup_sptr group2 = doGroupWorkspaces("ws3, ws4", "group2");
// Third group
auto ws5 = createUniformWorkspace(1.6, 0.1, 1.5, 2.5, true, "ws5");
auto ws6 = createUniformWorkspace(1.6, 0.1, 1.6, 3.0, true, "ws6");
WorkspaceGroup_sptr group3 = doGroupWorkspaces("ws5, ws6", "group3");
Stitch1DMany alg;
alg.initialize();
alg.setProperty("InputWorkspaces", "group1, group2, group3");
alg.setProperty("Params", "0.1, 0.1, 2.6");
alg.setProperty("StartOverlaps", "0.8, 1.6");
alg.setProperty("EndOverlaps", "1.1, 1.9");
alg.setProperty("UseManualScaleFactors", "1");
alg.setProperty("ScaleFactorFromPeriod", 2);
alg.setPropertyValue("OutputWorkspace", "outws");
alg.execute();
// Test output ws
Workspace_sptr outws = alg.getProperty("OutputWorkspace");
auto group =
AnalysisDataService::Instance().retrieveWS<WorkspaceGroup>("outws");
auto stitched =
boost::dynamic_pointer_cast<MatrixWorkspace>(group->getItem(0));
// Test the algorithm histories
std::vector<std::string> histNames;
auto histories = stitched->history().getAlgorithmHistories();
for (auto &hist : histories) {
histNames.push_back(hist->name());
TS_ASSERT_EQUALS(histNames[0], "CreateWorkspace");
TS_ASSERT_EQUALS(histNames[1], "GroupWorkspaces");
TS_ASSERT_EQUALS(histNames[2], "CreateWorkspace");
TS_ASSERT_EQUALS(histNames[3], "GroupWorkspaces");
TS_ASSERT_EQUALS(histNames[4], "CreateWorkspace");
TS_ASSERT_EQUALS(histNames[5], "GroupWorkspaces");
// Clear the ADS