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#ifndef MANTID_MDALGORITHMS_LOADDNSSCDEWTEST_H_
#define MANTID_MDALGORITHMS_LOADDNSSCDEWTEST_H_
#include "MantidAPI/AnalysisDataService.h"
#include "MantidAPI/BoxController.h"
#include "MantidAPI/ExperimentInfo.h"
#include "MantidAPI/IMDEventWorkspace.h"
#include "MantidAPI/IMDIterator.h"
#include "MantidAPI/ITableWorkspace.h"
#include "MantidAPI/Run.h"
#include "MantidAPI/WorkspaceFactory.h"
#include "MantidDataObjects/MDBox.h"
#include "MantidDataObjects/MDEventFactory.h"
#include "MantidDataObjects/MDEventWorkspace.h"
#include "MantidGeometry/MDGeometry/HKL.h"
#include "MantidKernel/TimeSeriesProperty.h"
#include "MantidMDAlgorithms/LoadDNSSCD.h"
#include <cxxtest/TestSuite.h>
using namespace Mantid;
using namespace Mantid::Kernel;
using namespace Mantid::API;
using namespace Mantid::DataObjects;
using namespace Mantid::MDAlgorithms;
class LoadDNSSCDTest : public CxxTest::TestSuite {
public:
// This pair of boilerplate methods prevent the suite being created statically
// This means the constructor isn't called when running other tests
static LoadDNSSCDTest *createSuite() { return new LoadDNSSCDTest(); }
static void destroySuite(LoadDNSSCDTest *suite) { delete suite; }
LoadDNSSCDTest() : m_fileName("dn134011vana.d_dat") {}
void test_Init() {
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
}
void test_Name() {
LoadDNSSCD alg;
TS_ASSERT_EQUALS(alg.name(), "LoadDNSSCD");
}
void test_Metadata() {
// test whether the metadata were loaded correctly
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr iws;
TS_ASSERT_THROWS_NOTHING(
iws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
outWSName));
TS_ASSERT(iws);
TS_ASSERT_EQUALS(iws->getNumExperimentInfo(), 1);
ExperimentInfo_sptr expinfo = iws->getExperimentInfo(0);
auto &run = expinfo->run();
double d(1e-05);
TS_ASSERT_DELTA(run.getPropertyValueAsType<double>("wavelength"), 4.2, d);
TimeSeriesProperty<double> *p =
dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("Lambda"));
TS_ASSERT_DELTA(p->firstValue(), 0.42, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("Energy"));
TS_ASSERT_DELTA(p->firstValue(), 4.640, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("Speed"));
TS_ASSERT_DELTA(p->firstValue(), 949.0, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("DeteRota"));
TS_ASSERT_DELTA(p->firstValue(), -8.54, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("Huber"));
TS_ASSERT_DELTA(p->firstValue(), 79.0, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(
run.getProperty("Flipper_precession"));
TS_ASSERT_DELTA(p->firstValue(), 0.970, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(
run.getProperty("Flipper_z_compensation"));
TS_ASSERT_DELTA(p->firstValue(), 0.400, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("C_a"));
TS_ASSERT_DELTA(p->firstValue(), 0.0, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("C_b"));
TS_ASSERT_DELTA(p->firstValue(), 0.110, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("C_c"));
TS_ASSERT_DELTA(p->firstValue(), -0.500, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("C_z"));
TS_ASSERT_DELTA(p->firstValue(), 0.0, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("T1"));
TS_ASSERT_DELTA(p->firstValue(), 295.0, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("T2"));
TS_ASSERT_DELTA(p->firstValue(), 296.477, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(
run.getProperty("sample_setpoint"));
TS_ASSERT_DELTA(p->firstValue(), 295.0, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("Timer"));
TS_ASSERT_DELTA(p->firstValue(), 600.0, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(run.getProperty("Monitor"));
TS_ASSERT_DELTA(p->firstValue(), 8332872, d);
p = dynamic_cast<TimeSeriesProperty<double> *>(
run.getProperty("TOF channels"));
TS_ASSERT_DELTA(p->firstValue(), 1.0, d);
TimeSeriesProperty<std::string> *s =
dynamic_cast<TimeSeriesProperty<std::string> *>(
run.getProperty("start_time"));
TS_ASSERT_EQUALS(s->firstValue(), "2013-04-16T16:11:02");
s = dynamic_cast<TimeSeriesProperty<std::string> *>(
run.getProperty("stop_time"));
TS_ASSERT_EQUALS(s->firstValue(), "2013-04-16T16:21:03");
AnalysisDataService::Instance().remove(outWSName);
}
void test_DataWSStructure() {
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr iws;
TS_ASSERT_THROWS_NOTHING(
iws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
outWSName));
TS_ASSERT(iws);
TS_ASSERT_EQUALS(iws->getNumDims(), 3);
TS_ASSERT_EQUALS(iws->getNPoints(), 24);
TS_ASSERT_EQUALS(iws->id(), "MDEventWorkspace<MDEvent,3>");
// test box controller
BoxController_sptr bc = iws->getBoxController();
TS_ASSERT(bc);
TS_ASSERT_EQUALS(bc->getNumMDBoxes().size(), 6);
// test dimensions
std::vector<std::string> v = {"H", "K", "L"};
for (auto i = 0; i < 3; i++) {
auto dim = iws->getDimension(i);
TS_ASSERT(dim);
TS_ASSERT_EQUALS(dim->getName(), v[i]);
TS_ASSERT_EQUALS(dim->getNBins(), 5);
double d(1.0e-05);
TS_ASSERT_DELTA(dim->getMinimum(), -2.991993, d);
TS_ASSERT_DELTA(dim->getMaximum(), 2.991993, d);
}
AnalysisDataService::Instance().remove(outWSName);
}
void test_DataWS() {
// test whether the metadata were loaded correctly
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("a", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("b", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("c", 4.77));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("alpha", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("beta", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("gamma", 120.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("OmegaOffset", -43.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL1", "1,1,0"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL2", "0,0,1"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr iws;
TS_ASSERT_THROWS_NOTHING(
iws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
outWSName));
TS_ASSERT(iws);
std::vector<API::IMDNode *> boxes(0, nullptr);
iws->getBoxes(boxes, 10000, false);
TSM_ASSERT_EQUALS("Number of boxes", boxes.size(), 1);
API::IMDNode *box = boxes[0];
// there are 24 points in the data file
TS_ASSERT_EQUALS(box->getNPoints(), 24);
std::vector<coord_t> events;
size_t ncols;
box->getEventsData(events, ncols);
// 7 columns: I, err^2, run_num, det_id, h, k, l
TS_ASSERT_EQUALS(ncols, 7);
// 7*24 = 168
TS_ASSERT_EQUALS(events.size(), 168);
// reference vector
221
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const std::vector<coord_t> ref = {4366,
4366,
0,
0,
-0.09776273f,
-0.09776273f,
0.10005156f,
31461,
31461,
0,
1,
-0.15959044f,
-0.15959044f,
0.14884006f,
33314,
33314,
0,
2,
-0.224231616093f,
-0.224231616093f,
0.189927174618f,
32369,
32369,
0,
3,
-0.291194311172f,
-0.291194311172f,
0.223000198347f,
31851,
31851,
0,
4,
-0.359968893923f,
-0.359968893923f,
0.247807429194f,
30221,
30221,
0,
5,
-0.430031948245f,
-0.430031948245f,
0.264160069153f,
26267,
26267,
0,
6,
-0.500850251989f,
-0.500850251989f,
0.271933664761f,
26788,
26788,
0,
7,
-0.571884835101f,
-0.571884835101f,
0.27106905426f,
29729,
29729,
0,
8,
-0.642595081514f,
-0.642595081514f,
0.26157281786f,
30188,
30188,
0,
9,
-0.712442843555f,
-0.712442843555f,
0.243517227652f,
28116,
28116,
0,
10,
-0.78089653758f,
-0.78089653758f,
0.217039697581f,
30277,
30277,
0,
11,
-0.847435189645f,
-0.847435189645f,
0.182341737639f,
20231,
20231,
0,
12,
-0.911552400429f,
-0.911552400429f,
0.13968742025f,
24538,
24538,
0,
13,
-0.972760199244f,
-0.972760199244f,
0.089401370527f,
16416,
16416,
0,
14,
-1.03059275778f,
-1.03059275778f,
0.0318662956709f,
20225,
20225,
0,
15,
-1.08460993535f,
-1.08460993535f,
-0.0324799276578f,
19957,
19957,
0,
16,
-1.13440062862f,
-1.13440062862f,
-0.103147585846f,
19570,
19570,
0,
17,
-1.17958590034f,
-1.17958590034f,
-0.179598855345f,
20743,
20743,
0,
18,
-1.21982186332f,
-1.21982186332f,
-0.261251895832f,
22758,
22758,
0,
19,
-1.25480229757f,
-1.25480229757f,
-0.347485278364f,
23001,
23001,
0,
20,
-1.28426098088f,
-1.28426098088f,
-0.437642714831f,
21836,
21836,
0,
21,
-1.30797371487f,
-1.30797371487f,
-0.531038052704f,
23877,
23877,
0,
22,
-1.32576003133f,
-1.32576003133f,
-0.626960497068f,
13340,
13340,
0,
23,
-1.33748456564f,
-1.33748456564f,
-0.724680020201f};
for (auto i = 0; i < 168; i++) {
TS_ASSERT_DELTA(events[i], ref[i], d);
}
AnalysisDataService::Instance().remove(outWSName);
}
void test_NormWSStructure() {
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr nws;
TS_ASSERT_THROWS_NOTHING(
nws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
normWSName));
TS_ASSERT(nws);
TS_ASSERT_EQUALS(nws->getNumDims(), 3);
TS_ASSERT_EQUALS(nws->getNPoints(), 24);
TS_ASSERT_EQUALS(nws->id(), "MDEventWorkspace<MDEvent,3>");
// test box controller
BoxController_sptr bc = nws->getBoxController();
TS_ASSERT(bc);
TS_ASSERT_EQUALS(bc->getNumMDBoxes().size(), 6);
// test dimensions
std::vector<std::string> v = {"H", "K", "L"};
for (auto i = 0; i < 3; i++) {
auto dim = nws->getDimension(i);
TS_ASSERT(dim);
TS_ASSERT_EQUALS(dim->getName(), v[i]);
TS_ASSERT_EQUALS(dim->getNBins(), 5);
double d(1.0e-05);
TS_ASSERT_DELTA(dim->getMinimum(), -2.991993, d);
TS_ASSERT_DELTA(dim->getMaximum(), 2.991993, d);
}
AnalysisDataService::Instance().remove(normWSName);
}
void test_NormMonitor() {
// test whether the metadata were loaded correctly
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("a", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("b", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("c", 4.77));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("alpha", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("beta", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("gamma", 120.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("OmegaOffset", -43.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL1", "1,1,0"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL2", "0,0,1"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr nws;
TS_ASSERT_THROWS_NOTHING(
nws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
normWSName));
TS_ASSERT(nws);
std::vector<API::IMDNode *> boxes(0, nullptr);
nws->getBoxes(boxes, 10000, false);
TSM_ASSERT_EQUALS("Number of boxes", boxes.size(), 1);
API::IMDNode *box = boxes[0];
// there are 24 points in the data file
TS_ASSERT_EQUALS(box->getNPoints(), 24);
std::vector<coord_t> events;
size_t ncols;
box->getEventsData(events, ncols);
// 7 columns: I, err^2, run_num, det_id, h, k, l
TS_ASSERT_EQUALS(ncols, 7);
// 7*24 = 168
TS_ASSERT_EQUALS(events.size(), 168);
// reference vector
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641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
const std::vector<coord_t> ref = {8332872,
8332872,
0,
0,
-0.09776273f,
-0.09776273f,
0.10005156f,
8332872,
8332872,
0,
1,
-0.15959044f,
-0.15959044f,
0.14884006f,
8332872,
8332872,
0,
2,
-0.224231616093f,
-0.224231616093f,
0.189927174618f,
8332872,
8332872,
0,
3,
-0.291194311172f,
-0.291194311172f,
0.223000198347f,
8332872,
8332872,
0,
4,
-0.359968893923f,
-0.359968893923f,
0.247807429194f,
8332872,
8332872,
0,
5,
-0.430031948245f,
-0.430031948245f,
0.264160069153f,
8332872,
8332872,
0,
6,
-0.500850251989f,
-0.500850251989f,
0.271933664761f,
8332872,
8332872,
0,
7,
-0.571884835101f,
-0.571884835101f,
0.27106905426f,
8332872,
8332872,
0,
8,
-0.642595081514f,
-0.642595081514f,
0.26157281786f,
8332872,
8332872,
0,
9,
-0.712442843555f,
-0.712442843555f,
0.243517227652f,
8332872,
8332872,
0,
10,
-0.78089653758f,
-0.78089653758f,
0.217039697581f,
8332872,
8332872,
0,
11,
-0.847435189645f,
-0.847435189645f,
0.182341737639f,
8332872,
8332872,
0,
12,
-0.911552400429f,
-0.911552400429f,
0.13968742025f,
8332872,
8332872,
0,
13,
-0.972760199244f,
-0.972760199244f,
0.089401370527f,
8332872,
8332872,
0,
14,
-1.03059275778f,
-1.03059275778f,
0.0318662956709f,
8332872,
8332872,
0,
15,
-1.08460993535f,
-1.08460993535f,
-0.0324799276578f,
8332872,
8332872,
0,
16,
-1.13440062862f,
-1.13440062862f,
-0.103147585846f,
8332872,
8332872,
0,
17,
-1.17958590034f,
-1.17958590034f,
-0.179598855345f,
8332872,
8332872,
0,
18,
-1.21982186332f,
-1.21982186332f,
-0.261251895832f,
8332872,
8332872,
0,
19,
-1.25480229757f,
-1.25480229757f,
-0.347485278364f,
8332872,
8332872,
0,
20,
-1.28426098088f,
-1.28426098088f,
-0.437642714831f,
8332872,
8332872,
0,
21,
-1.30797371487f,
-1.30797371487f,
-0.531038052704f,
8332872,
8332872,
0,
22,
-1.32576003133f,
-1.32576003133f,
-0.626960497068f,
8332872,
8332872,
0,
23,
-1.33748456564f,
-1.33748456564f,
-0.724680020201f};
for (auto i = 0; i < 168; i++) {
TS_ASSERT_DELTA(events[i], ref[i], d);
}
AnalysisDataService::Instance().remove(normWSName);
}
void test_NormTime() {
// test whether the metadata were loaded correctly
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "time"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("a", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("b", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("c", 4.77));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("alpha", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("beta", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("gamma", 120.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("OmegaOffset", -43.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL1", "1,1,0"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL2", "0,0,1"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr nws;
TS_ASSERT_THROWS_NOTHING(
nws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
normWSName));
TS_ASSERT(nws);
std::vector<API::IMDNode *> boxes(0, nullptr);
nws->getBoxes(boxes, 10000, false);
TSM_ASSERT_EQUALS("Number of boxes", boxes.size(), 1);
API::IMDNode *box = boxes[0];
// there are 24 points in the data file
TS_ASSERT_EQUALS(box->getNPoints(), 24);
std::vector<coord_t> events;
size_t ncols;
box->getEventsData(events, ncols);
// 7 columns: I, err^2, run_num, det_id, h, k, l
TS_ASSERT_EQUALS(ncols, 7);
// 7*24 = 168
TS_ASSERT_EQUALS(events.size(), 168);
// reference vector
600, 0, 0, 0, -0.09776273f, -0.09776273f, 0.10005156f,
600, 0, 0, 1, -0.15959044f, -0.15959044f, 0.14884006f,
600, 0, 0, 2, -0.224231616093f, -0.224231616093f, 0.189927174618f,
600, 0, 0, 3, -0.291194311172f, -0.291194311172f, 0.223000198347f,
600, 0, 0, 4, -0.359968893923f, -0.359968893923f, 0.247807429194f,
600, 0, 0, 5, -0.430031948245f, -0.430031948245f, 0.264160069153f,
600, 0, 0, 6, -0.500850251989f, -0.500850251989f, 0.271933664761f,
600, 0, 0, 7, -0.571884835101f, -0.571884835101f, 0.27106905426f,
600, 0, 0, 8, -0.642595081514f, -0.642595081514f, 0.26157281786f,
600, 0, 0, 9, -0.712442843555f, -0.712442843555f, 0.243517227652f,
600, 0, 0, 10, -0.78089653758f, -0.78089653758f, 0.217039697581f,
600, 0, 0, 11, -0.847435189645f, -0.847435189645f, 0.182341737639f,
600, 0, 0, 12, -0.911552400429f, -0.911552400429f, 0.13968742025f,
600, 0, 0, 13, -0.972760199244f, -0.972760199244f, 0.089401370527f,
600, 0, 0, 14, -1.03059275778f, -1.03059275778f, 0.0318662956709f,
600, 0, 0, 15, -1.08460993535f, -1.08460993535f, -0.0324799276578f,
600, 0, 0, 16, -1.13440062862f, -1.13440062862f, -0.103147585846f,
600, 0, 0, 17, -1.17958590034f, -1.17958590034f, -0.179598855345f,
600, 0, 0, 18, -1.21982186332f, -1.21982186332f, -0.261251895832f,
600, 0, 0, 19, -1.25480229757f, -1.25480229757f, -0.347485278364f,
600, 0, 0, 20, -1.28426098088f, -1.28426098088f, -0.437642714831f,
600, 0, 0, 21, -1.30797371487f, -1.30797371487f, -0.531038052704f,
600, 0, 0, 22, -1.32576003133f, -1.32576003133f, -0.626960497068f,
600, 0, 0, 23, -1.33748456564f, -1.33748456564f, -0.724680020201f};
for (auto i = 0; i < 168; i++) {
TS_ASSERT_DELTA(events[i], ref[i], d);
}
AnalysisDataService::Instance().remove(normWSName);
}
void test_SaveHuber() {
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
std::string tWSName("LoadDNSSCDTest_Huber");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("SaveHuberTo", tWSName));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
ITableWorkspace_sptr tws;
TS_ASSERT_THROWS_NOTHING(
tws = AnalysisDataService::Instance().retrieveWS<ITableWorkspace>(
tWSName));
TS_ASSERT(tws);
// check that workspace has 1 row and 1 column
TS_ASSERT_EQUALS(tws->rowCount(), 1);
TS_ASSERT_EQUALS(tws->columnCount(), 1);
std::vector<std::string> columnNames = {"Huber(degrees)"};
TS_ASSERT_EQUALS(tws->getColumnNames(), columnNames);
// test the value
TS_ASSERT_DELTA(tws->cell<double>(0, 0), 79.0, 1.0e-06);
AnalysisDataService::Instance().remove(tWSName);
}
void test_LoadHuber() {
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
std::string tWSName2("LoadDNSSCDTest_Huber_save");
std::string tWSName1("LoadDNSSCDTest_Huber_load");
// create a test table workspace
ITableWorkspace_sptr huberWS =
WorkspaceFactory::Instance().createTable("TableWorkspace");
huberWS->addColumn("double", "Huber(degrees)");
const std::vector<double> vals = {77.0, 92.0, 122.0};
auto n = vals.size();
for (size_t i = 0; i < n; i++) {
huberWS->appendRow();
huberWS->cell<double>(i, 0) = vals[i];
}
AnalysisDataService::Instance().add(tWSName1, huberWS);
// run the algorithm
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("LoadHuberFrom", tWSName1));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("SaveHuberTo", tWSName2));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr iws;
TS_ASSERT_THROWS_NOTHING(
iws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
outWSName));
TS_ASSERT(iws);
TS_ASSERT_EQUALS(iws->getNumDims(), 3);
// data should be replicated for each huber value
TS_ASSERT_EQUALS(iws->getNPoints(), 24 * n);
// Retrieve the table workspace from data service.
ITableWorkspace_sptr tws;
TS_ASSERT_THROWS_NOTHING(
tws = AnalysisDataService::Instance().retrieveWS<ITableWorkspace>(
tWSName2));
TS_ASSERT(tws);
// check that workspace has 1 row and 1 column
TS_ASSERT_EQUALS(tws->rowCount(), n);
TS_ASSERT_EQUALS(tws->columnCount(), 1);
std::vector<std::string> columnNames = {"Huber(degrees)"};
TS_ASSERT_EQUALS(tws->getColumnNames(), columnNames);
// test the values
for (size_t i = 0; i < n; i++)
TS_ASSERT_DELTA(tws->cell<double>(i, 0), vals[i], 1.0e-06);
AnalysisDataService::Instance().remove(tWSName1);
AnalysisDataService::Instance().remove(tWSName2);
AnalysisDataService::Instance().remove(outWSName);
}
void test_2ThetaLimits() {
// test whether the scattering angle limits work correctly
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
LoadDNSSCD alg;
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", m_fileName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("a", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("b", 6.84));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("c", 4.77));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("alpha", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("beta", 90.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("gamma", 120.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("OmegaOffset", -43.0));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL1", "1,1,0"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("HKL2", "0,0,1"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("TwoThetaLimits", "20.0,55.0"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr iws;
TS_ASSERT_THROWS_NOTHING(
iws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
outWSName));
TS_ASSERT(iws);
std::vector<API::IMDNode *> boxes(0, nullptr);
iws->getBoxes(boxes, 10000, false);
TSM_ASSERT_EQUALS("Number of boxes", boxes.size(), 1);
API::IMDNode *box = boxes[0];
// there are 7 points (the rest is outside of 2theta limits)
TS_ASSERT_EQUALS(box->getNPoints(), 7);
std::vector<coord_t> events;
size_t ncols;
box->getEventsData(events, ncols);
// 7 columns: I, err^2, run_num, det_id, h, k, l
TS_ASSERT_EQUALS(ncols, 7);
// 7*7 = 49
TS_ASSERT_EQUALS(events.size(), 49);
// reference vector
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
const std::vector<coord_t> ref = {32369,
32369,
0,
3,
-0.291194311172f,
-0.291194311172f,
0.223000198347f,
31851,
31851,
0,
4,
-0.359968893923f,
-0.359968893923f,
0.247807429194f,
30221,
30221,
0,
5,
-0.430031948245f,
-0.430031948245f,
0.264160069153f,
26267,
26267,
0,
6,
-0.500850251989f,
-0.500850251989f,
0.271933664761f,
26788,
26788,
0,
7,
-0.571884835101f,
-0.571884835101f,
0.27106905426f,
29729,
29729,
0,
8,
-0.642595081514f,
-0.642595081514f,
0.26157281786f,
30188,
30188,
0,
9,
-0.712442843555f,
-0.712442843555f,
0.243517227652f};
for (auto i = 0; i < 49; i++) {
TS_ASSERT_DELTA(events[i], ref[i], d);
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
}
AnalysisDataService::Instance().remove(outWSName);
// test the normalization workspace as well
IMDEventWorkspace_sptr nws;
TS_ASSERT_THROWS_NOTHING(
nws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
normWSName));
TS_ASSERT(nws);
// there are 7 points (the rest is outside of 2theta limits)
TS_ASSERT_EQUALS(nws->getNPoints(), 7);
AnalysisDataService::Instance().remove(normWSName);
}
void test_Load2() {
// algorithm should load one file and skip the TOF file
std::string outWSName("LoadDNSSCDTest_OutputWS");
std::string normWSName("LoadDNSSCDTest_OutputWS_norm");
std::string filenames = "dn134011vana.d_dat,dnstof.d_dat";
LoadDNSSCD alg;
alg.setRethrows(true);
TS_ASSERT_THROWS_NOTHING(alg.initialize());
TS_ASSERT(alg.isInitialized());
TS_ASSERT_THROWS_NOTHING(alg.setPropertyValue("Filenames", filenames));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("OutputWorkspace", outWSName));
TS_ASSERT_THROWS_NOTHING(
alg.setPropertyValue("NormalizationWorkspace", normWSName));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("Normalization", "monitor"));
// algorithm should throw only if no valid files is provided
TS_ASSERT_THROWS_NOTHING(alg.execute());
TS_ASSERT(alg.isExecuted());
// Retrieve the workspace from data service.
IMDEventWorkspace_sptr iws;
TS_ASSERT_THROWS_NOTHING(
iws = AnalysisDataService::Instance().retrieveWS<IMDEventWorkspace>(
outWSName));
TS_ASSERT(iws);
TS_ASSERT_EQUALS(iws->getNumDims(), 3);
TS_ASSERT_EQUALS(iws->getNPoints(), 24);
AnalysisDataService::Instance().remove(outWSName);
}
//-------------------- Test failure --------------------------------------