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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;
bool cmp_Events(const std::vector<coord_t> &ev1,
const std::vector<coord_t> &ev2) {
// event1 < event2 if it has smaller det_id and dE
assert(ev1.size() == 8);
assert(ev2.size() == 8);
if (std::abs(ev1[3] - ev2[3]) > eps) {
return ev1[3] < ev2[3];
} else {
return ev1[7] < ev2[7];
}
}
void sort_Events(std::vector<coord_t> &events) {
// 1. split the events vector into 8-sized chunks
std::vector<std::vector<coord_t>> sub_events;
auto itr = events.cbegin();
while (itr < events.cend()) {
sub_events.emplace_back(std::vector<coord_t>(itr, itr + 8));
itr += 8;
}
// 2. sort the vector of chunks
std::sort(sub_events.begin(), sub_events.end(), cmp_Events);
// 3. put the sorted array back
events.clear();
for (auto ev : sub_events) {
events.insert(end(events), begin(ev), end(ev));
}
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.setProperty("DeltaEmin", "-2.991993"));
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(), 4);
TS_ASSERT_EQUALS(iws->getNPoints(), 24);
TS_ASSERT_EQUALS(iws->id(), "MDEventWorkspace<MDEvent,4>");
// 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", "DeltaE"};
for (auto i = 0; i < 4; 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);
} else {
TS_ASSERT_DELTA(dim->getMaximum(), 4.637426, 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);
// 8 columns: I, err^2, run_num, det_id, h, k, l, dE
TS_ASSERT_EQUALS(ncols, 8);
// 8*24 = 192
TS_ASSERT_EQUALS(events.size(), 192);
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const std::vector<coord_t> ref = {4366,
4366,
0,
0,
-0.09776273f,
-0.09776273f,
0.10005156f,
0.0f,
31461,
31461,
0,
1,
-0.15959044f,
-0.15959044f,
0.14884006f,
0.0f,
33314,
33314,
0,
2,
-0.224231616093f,
-0.224231616093f,
0.189927174618f,
0.0f,
32369,
32369,
0,
3,
-0.291194311172f,
-0.291194311172f,
0.223000198347f,
0.0f,
31851,
31851,
0,
4,
-0.359968893923f,
-0.359968893923f,
0.247807429194f,
0.0f,
30221,
30221,
0,
5,
-0.430031948245f,
-0.430031948245f,
0.264160069153f,
0.0f,
26267,
26267,
0,
6,
-0.500850251989f,
-0.500850251989f,
0.271933664761f,
0.0f,
26788,
26788,
0,
7,
-0.571884835101f,
-0.571884835101f,
0.27106905426f,
0.0f,
29729,
29729,
0,
8,
-0.642595081514f,
-0.642595081514f,
0.26157281786f,
0.0f,
30188,
30188,
0,
9,
-0.712442843555f,
-0.712442843555f,
0.243517227652f,
0.0f,
28116,
28116,
0,
10,
-0.78089653758f,
-0.78089653758f,
0.217039697581f,
0.0f,
30277,
30277,
0,
11,
-0.847435189645f,
-0.847435189645f,
0.182341737639f,
0.0f,
20231,
20231,
0,
12,
-0.911552400429f,
-0.911552400429f,
0.13968742025f,
0.0f,
24538,
24538,
0,
13,
-0.972760199244f,
-0.972760199244f,
0.089401370527f,
0.0f,
16416,
16416,
0,
14,
-1.03059275778f,
-1.03059275778f,
0.0318662956709f,
0.0f,
20225,
20225,
0,
15,
-1.08460993535f,
-1.08460993535f,
-0.0324799276578f,
0.0f,
19957,
19957,
0,
16,
-1.13440062862f,
-1.13440062862f,
-0.103147585846f,
0.0f,
19570,
19570,
0,
17,
-1.17958590034f,
-1.17958590034f,
-0.179598855345f,
0.0f,
20743,
20743,
0,
18,
-1.21982186332f,
-1.21982186332f,
-0.261251895832f,
0.0f,
22758,
22758,
0,
19,
-1.25480229757f,
-1.25480229757f,
-0.347485278364f,
0.0f,
23001,
23001,
0,
20,
-1.28426098088f,
-1.28426098088f,
-0.437642714831f,
0.0f,
21836,
21836,
0,
21,
-1.30797371487f,
-1.30797371487f,
-0.531038052704f,
0.0f,
23877,
23877,
0,
22,
-1.32576003133f,
-1.32576003133f,
-0.626960497068f,
0.0f,
13340,
13340,
0,
23,
-1.33748456564f,
-1.33748456564f,
-0.724680020201f,
0.0f};
for (auto i = 0; i < 192; 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.setProperty("DeltaEmin", "-2.991993"));
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(), 4);
TS_ASSERT_EQUALS(nws->getNPoints(), 24);
TS_ASSERT_EQUALS(nws->id(), "MDEventWorkspace<MDEvent,4>");
// 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", "DeltaE"};
for (auto i = 0; i < 4; 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);
if (i < 3) {
TS_ASSERT_DELTA(dim->getMaximum(), 2.991993, d);
} else {
TS_ASSERT_DELTA(dim->getMaximum(), 4.637426, 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);
// 8 columns: I, err^2, run_num, det_id, h, k, l, dE
TS_ASSERT_EQUALS(ncols, 8);
// 8*24 = 192
TS_ASSERT_EQUALS(events.size(), 192);
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const std::vector<coord_t> ref = {8332872,
8332872,
0,
0,
-0.09776273f,
-0.09776273f,
0.10005156f,
0.0f,
8332872,
8332872,
0,
1,
-0.15959044f,
-0.15959044f,
0.14884006f,
0.0f,
8332872,
8332872,
0,
2,
-0.224231616093f,
-0.224231616093f,
0.189927174618f,
0.0f,
8332872,
8332872,
0,
3,
-0.291194311172f,
-0.291194311172f,
0.223000198347f,
0.0f,
8332872,
8332872,
0,
4,
-0.359968893923f,
-0.359968893923f,
0.247807429194f,
0.0f,
8332872,
8332872,
0,
5,
-0.430031948245f,
-0.430031948245f,
0.264160069153f,
0.0f,
8332872,
8332872,
0,
6,
-0.500850251989f,
-0.500850251989f,
0.271933664761f,
0.0f,
8332872,
8332872,
0,
7,
-0.571884835101f,
-0.571884835101f,
0.27106905426f,
0.0f,
8332872,
8332872,
0,
8,
-0.642595081514f,
-0.642595081514f,
0.26157281786f,
0.0f,
8332872,
8332872,
0,
9,
-0.712442843555f,
-0.712442843555f,
0.243517227652f,
0.0f,
8332872,
8332872,
0,
10,
-0.78089653758f,
-0.78089653758f,
0.217039697581f,
0.0f,
8332872,
8332872,
0,
11,
-0.847435189645f,
-0.847435189645f,
0.182341737639f,
0.0f,
8332872,
8332872,
0,
12,
-0.911552400429f,
-0.911552400429f,
0.13968742025f,
0.0f,
8332872,
8332872,
0,
13,
-0.972760199244f,
-0.972760199244f,
0.089401370527f,
0.0f,
8332872,
8332872,
0,
14,
-1.03059275778f,
-1.03059275778f,
0.0318662956709f,
0.0f,
8332872,
8332872,
0,
15,
-1.08460993535f,
-1.08460993535f,
-0.0324799276578f,
0.0f,
8332872,
8332872,
0,
16,
-1.13440062862f,
-1.13440062862f,
-0.103147585846f,
0.0f,
8332872,
8332872,
0,
17,
-1.17958590034f,
-1.17958590034f,
-0.179598855345f,
0.0f,
8332872,
8332872,
0,
18,
-1.21982186332f,
-1.21982186332f,
-0.261251895832f,
0.0f,
8332872,
8332872,
0,
19,
-1.25480229757f,
-1.25480229757f,
-0.347485278364f,
0.0f,
8332872,
8332872,
0,
20,
-1.28426098088f,
-1.28426098088f,
-0.437642714831f,
0.0f,
8332872,
8332872,
0,
21,
-1.30797371487f,
-1.30797371487f,
-0.531038052704f,
0.0f,
8332872,
8332872,
0,
22,
-1.32576003133f,
-1.32576003133f,
-0.626960497068f,
0.0f,
8332872,
8332872,
0,
23,
-1.33748456564f,
-1.33748456564f,
-0.724680020201f,
0.0f};
for (auto i = 0; i < 192; 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);
// 8 columns: I, err^2, run_num, det_id, h, k, l, dE
TS_ASSERT_EQUALS(ncols, 8);
// 8*24 = 192
TS_ASSERT_EQUALS(events.size(), 192);
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const std::vector<coord_t> ref = {600,
0,
0,
0,
-0.09776273f,
-0.09776273f,
0.10005156f,
0.0f,
600,
0,
0,
1,
-0.15959044f,
-0.15959044f,
0.14884006f,
0.0f,
600,
0,
0,
2,
-0.224231616093f,
-0.224231616093f,
0.189927174618f,
0.0f,
600,
0,
0,
3,
-0.291194311172f,
-0.291194311172f,
0.223000198347f,
0.0f,
600,
0,
0,
4,
-0.359968893923f,
-0.359968893923f,
0.247807429194f,
0.0f,
600,
0,
0,
5,
-0.430031948245f,
-0.430031948245f,
0.264160069153f,
0.0f,
600,
0,
0,
6,
-0.500850251989f,
-0.500850251989f,
0.271933664761f,
0.0f,
600,
0,
0,
7,
-0.571884835101f,
-0.571884835101f,
0.27106905426f,
0.0f,
600,
0,
0,
8,
-0.642595081514f,
-0.642595081514f,
0.26157281786f,
0.0f,
600,
0,
0,
9,
-0.712442843555f,
-0.712442843555f,
0.243517227652f,
0.0f,
600,
0,
0,
10,
-0.78089653758f,
-0.78089653758f,
0.217039697581f,
0.0f,
600,
0,
0,
11,
-0.847435189645f,
-0.847435189645f,
0.182341737639f,
0.0f,
600,
0,
0,
12,
-0.911552400429f,
-0.911552400429f,
0.13968742025f,
0.0f,
600,
0,
0,
13,
-0.972760199244f,
-0.972760199244f,
0.089401370527f,
0.0f,
600,
0,
0,
14,
-1.03059275778f,
-1.03059275778f,
0.0318662956709f,
0.0f,
600,
0,
0,
15,
-1.08460993535f,
-1.08460993535f,
-0.0324799276578f,
0.0f,
600,
0,
0,
16,
-1.13440062862f,
-1.13440062862f,
-0.103147585846f,
0.0f,
600,
0,
0,
17,
-1.17958590034f,
-1.17958590034f,
-0.179598855345f,
0.0f,
600,
0,
0,
18,
-1.21982186332f,
-1.21982186332f,
-0.261251895832f,
0.0f,
600,
0,
0,
19,
-1.25480229757f,
-1.25480229757f,
-0.347485278364f,
0.0f,
600,
0,
0,
20,
-1.28426098088f,
-1.28426098088f,
-0.437642714831f,
0.0f,
600,
0,
0,
21,
-1.30797371487f,
-1.30797371487f,
-0.531038052704f,
0.0f,
600,
0,
0,
22,
-1.32576003133f,
-1.32576003133f,
-0.626960497068f,
0.0f,
600,
0,
0,
23,
-1.33748456564f,
-1.33748456564f,
-0.724680020201f,
0.0f};
for (auto i = 0; i < 192; 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(), 4);
// 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);
// 8 columns: I, err^2, run_num, det_id, h, k, l, dE
TS_ASSERT_EQUALS(ncols, 8);
// 8*7 = 56
TS_ASSERT_EQUALS(events.size(), 56);
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const std::vector<coord_t> ref = {32369,
32369,
0,
3,
-0.291194311172f,
-0.291194311172f,
0.223000198347f,
0.0f,
31851,
31851,
0,
4,
-0.359968893923f,
-0.359968893923f,
0.247807429194f,
0.0f,
30221,
30221,
0,
5,
-0.430031948245f,
-0.430031948245f,
0.264160069153f,
0.0f,
26267,
26267,
0,
6,
-0.500850251989f,
-0.500850251989f,
0.271933664761f,
0.0f,
26788,
26788,
0,
7,
-0.571884835101f,
-0.571884835101f,
0.27106905426f,
0.0f,
29729,
29729,
0,
8,
-0.642595081514f,
-0.642595081514f,
0.26157281786f,
0.0f,
30188,
30188,
0,
9,
-0.712442843555f,
-0.712442843555f,
0.243517227652f,
0.0f};
for (auto i = 0; i < 56; i++) {
TS_ASSERT_DELTA(events[i], ref[i], d);
}
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_TOFWSStructure() {
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", "dnstof.d_dat"));
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("DeltaEmin", "-2.991993"));
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(), 4);
TS_ASSERT_EQUALS(iws->getNPoints(), 1968);
TS_ASSERT_EQUALS(iws->id(), "MDEventWorkspace<MDEvent,4>");
// test some metadata
TS_ASSERT_EQUALS(iws->getNumExperimentInfo(), 1);
ExperimentInfo_sptr expinfo = iws->getExperimentInfo(0);
auto &run = expinfo->run();
TimeSeriesProperty<double> *p = dynamic_cast<TimeSeriesProperty<double> *>(
run.getProperty("TOF channels"));
TS_ASSERT_DELTA(p->firstValue(), 100, 1.0e-05);
p = dynamic_cast<TimeSeriesProperty<double> *>(
run.getProperty("Time per channel"));
TS_ASSERT_DELTA(p->firstValue(), 40.1, 1.0e-05);
// 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", "DeltaE"};
for (auto i = 0; i < 4; 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);
if (i < 3) {
TS_ASSERT_DELTA(dim->getMaximum(), 2.991993, d);
} else {
TS_ASSERT_DELTA(dim->getMaximum(), 4.637426, d);
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}
}
AnalysisDataService::Instance().remove(outWSName);
}
void test_TOFWSData() {
// test whether the calculation for inelastic data are correct
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", "dnstof.d_dat"));
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", 3.55));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("b", 3.55));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("c", 24.778));
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", 0.0));
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.setProperty("DeltaEmin", "-3.0"));
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, NULL);
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(), 574);
std::vector<coord_t> events;
size_t ncols;
box->getEventsData(events, ncols);
// 8 columns: I, err^2, run_num, det_id, h, k, l, dE
TS_ASSERT_EQUALS(ncols, 8);
// 8*574 = 4592
TS_ASSERT_EQUALS(events.size(), 4592);
// reference vector, EPP is wrong, since no elastic channel is given
1339
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const std::vector<coord_t> ref = {0,
0,
0,
3,
-0.0943541043211f,
-0.0943541043211f,
2.51817307323f,
-2.22473993186f, // 0
0,
0,
0,
3,
-0.105491719946f,
-0.105491719946f,
2.18460421817f,
-1.53897441518f, // 1
0,
0,
0,
3,
-0.115542738924f,
-0.115542738924f,
1.88357866605f,
-0.951095651067f, // 2
0,
0,
0,
3,
-0.124658779393f,
-0.124658779393f,
1.61055549086f,
-0.443322919741f, // 3
0,
0,
0,
3,
-0.132964505153f,
-0.132964505153f,
1.36180104236f,
-0.00173676689289f, // 4
0,
0,
0,
3,
-0.140563360636f,
-0.140563360636f,
1.13421718522f,
0.384685191257f, // 5
0,
0,
0,
3,
-0.147541901385f,
-0.147541901385f,
0.925211602133f,
0.724762824962f, // 6
0,
0,
0,
3,
-0.153973105606f,
-0.153973105606f,
0.732598613797f,
1.02562126597f, // 7
0,
0,
0,
3,
-0.159918935922f,
-0.159918935922f,
0.55452245477f,
1.29306717609f, // 8
0,
0,
0,
3,
-0.165432342216f,
-0.165432342216f,
0.389397289126f,
1.53187104043f, // 9
0,
0,
0,
3,
-0.170558842805f,
-0.170558842805f,
0.235859854405f,
1.7459813825f, // 10
0,
0,
0,
3,
-0.175337784032f,
-0.175337784032f,
0.0927317372921f,
1.93868903792f, // 11
0,
0,
0,
3,
-0.179803352064f,
-0.179803352064f,
-0.0410109295185f,
2.11275436309f, // 12
0,
0,
0,
3,
-0.183985391967f,
-0.183985391967f,
-0.166261998436f,
2.27050663742f, // 13
0,
0,
0,
3,
-0.187910075568f,
-0.187910075568f,
-0.283805309267f,
2.41392239469f, // 14
0,
0,
0,
3,
-0.1916004497f,
-0.1916004497f,
-0.394331109003f,
2.54468763779f, // 15
0,
0,
0,
3,
-0.1950768891f,
-0.1950768891f,
-0.498449616001f,
2.664247618f, // 16
0,
0,
0,
3,
-0.198357472759f,
-0.198357472759f,
-0.596702291619f,
2.77384694056f, // 17
0,
0,
0,
3,
-0.20145829841f,
-0.20145829841f,
-0.689571258983f,
2.87456208674f, // 18
0,
0,
0,
3,
-0.204393746692f,
-0.204393746692f,
-0.777487214755f,
2.96732794808f, // 19
0,
0,
0,
3,
-0.207176704155f,
-0.207176704155f,
-0.86083610789f,
3.05295960034f, // 20
0,
0,
0,
3,
-0.209818752378f,
-0.209818752378f,
-0.939964803903f,
3.13217026882f, // 21
0,
0,
0,
3,
-0.212330329085f,
-0.212330329085f,
-1.01518590999f,
3.20558622767f, // 22
0,
0,
0,
3,
-0.214720865951f,
-0.214720865951f,
-1.08678190253f,
3.27375921711f, // 23
0,
0,
0,
3,
-0.216998906964f,
-0.216998906964f,
-1.15500867189f,
3.33717683991f, // 24
0,
0,
0,
3,
-0.219172210459f,
-0.219172210459f,
-1.2200985783f,
3.39627130464f, // 25
0,
0,
0,
3,
-0.221247837392f,
-0.221247837392f,
-1.28226309565f,
3.45142680925f, // 26
0,
0,
0,
3,
-0.223232227977f,
-0.223232227977f,
-1.34169510674f,
3.5029858015f, // 27
0,
0,
0,
3,
-0.225131268429f,
-0.225131268429f,
-1.39857090231f,
3.55125430721f, // 28
0,
0,
0,
3,
-0.226950349283f,
-0.226950349283f,
-1.45305192753f,
3.59650648186f, // 29
0,
0,
0,
3,
-0.228694416494f,
-0.228694416494f,
-1.50528631254f,
3.63898851198f, // 30
0,
0,
0,
3,
-0.230368016343f,
-0.230368016343f,
-1.55541021734f,
3.67892197067f, // 31
0,
0,
0,
3,
-0.231975335009f,
-0.231975335009f,
-1.60354901701f,
3.71650671254f, // 32
0,
0,
0,
3,
-0.233520233533f,
-0.233520233533f,
-1.64981834872f,
3.75192337916f, // 33
0,
0,
0,
3,
-0.23500627878f,
-0.23500627878f,
-1.69432503923f,
3.78533557363f, // 34
0,
0,
0,
3,
-0.236436770934f,
-0.236436770934f,
-1.73716792823f,
3.81689175332f, // 35
0,
0,
0,
3,
-0.237814767963f,
-0.237814767963f,
-1.77843860111f,
3.84672688183f, // 36
0,
0,
0,
3,
-0.239143107441f,
-0.239143107441f,
-1.81822204254f,
3.87496387446f, // 37
0,
0,
0,
3,
-0.240424426052f,
-0.240424426052f,
-1.85659722056f,
3.90171486617f, // 38
0,
0,
0,
3,
-0.24166117706f,
-0.24166117706f,
-1.89363760977f,
3.92708232664f, // 39
0,
0,
0,
3,
-0.242855645982f,
-0.242855645982f,
-1.92941166089f,
3.95116004298f, // 40
1,
1,
0,
3,
-0.244009964688f,
-0.244009964688f,
-1.9639832229f,
3.97403398783f, // 41
1,
1,
0,
3,
-0.245126124099f,
-0.245126124099f,
-1.99741192336f,
3.99578308789f, // 42
0,
0,
0,
3,
-0.246205985642f,
-0.246205985642f,
-2.0297535116f,
4.01647990566f,
2,
2,
0,
3,
-0.247251291615f,
-0.247251291615f,
-2.06106016902f,
4.03619124547f,
0,
0,
0,
3,
-0.248263674566f,
-0.248263674566f,
-2.09138078999f,
4.05497869322f,
2,
2,
0,
3,
-0.249244665798f,
-0.249244665798f,
-2.12076123667f,
4.07289909803f,
6,
6,
0,
3,
-0.250195703099f,
-0.250195703099f,
-2.14924457046f,
4.09000500276f, // EPP
3,
3,
0,
3,
-0.251118137774f,
-0.251118137774f,
-2.17687126264f,
4.10634502964f,
0,
0,
0,
3,
-0.252013241051f,
-0.252013241051f,
-2.20367938617f,
4.12196422612f,
0,
0,
0,
3,
-0.252882209926f,
-0.252882209926f,
-2.22970479075f,
4.1369043757f,
0,
0,
0,
3,
-0.253726172503f,
-0.253726172503f,
-2.25498126284f,
4.15120427767f,
0,
0,
0,
3,
-0.254546192879f,
-0.254546192879f,
-2.27954067188f,
4.16489999925f,
0,
0,
0,
3,
-0.255343275622f,
-0.255343275622f,
-2.30341310445f,
4.17802510323f,
0,
0,
0,
3,
-0.256118369875f,
-0.256118369875f,
-2.32662698715f,
4.19061085383f,
0,
0,
0,
3,
-0.256872373129f,
-0.256872373129f,
-2.34920919958f,
4.20268640299f,
0,
0,
0,
3,
-0.257606134684f,
-0.257606134684f,
-2.37118517811f,
4.2142789594f,
0,
0,
0,
3,
-0.258320458847f,
-0.258320458847f,
-2.39257901152f,
4.22541394183f,
0,
0,
0,
3,
-0.259016107869f,
-0.259016107869f,
-2.41341352902f,
4.23611511866f,
0,
0,
0,
3,
-0.259693804658f,
-0.259693804658f,
-2.43371038155f,
4.24640473475f,
0,
0,
0,
3,
-0.260354235286f,
-0.260354235286f,
-2.45349011683f,
4.25630362721f,
0,
0,
0,
3,
-0.260998051308f,
-0.260998051308f,
-2.4727722487f,
4.2658313309f,
0,
0,
0,
3,
-0.2616258719f,
-0.2616258719f,
-2.49157532139f,
4.27500617494f,
0,
0,
0,
3,
-0.262238285852f,
-0.262238285852f,
-2.50991696898f,
4.2838453709f,
0,
0,
0,
3,
-0.262835853406f,
-0.262835853406f,
-2.52781397058f,
4.2923650936f,
0,
0,
0,
3,
-0.263419107964f,
-0.263419107964f,
-2.54528230147f,
4.30058055512f,
0,
0,
0,
3,
-0.26398855768f,
-0.26398855768f,
-2.56233718075f,
4.3085060728f,
0,
0,
0,
3,
-0.264544686935f,
-0.264544686935f,
-2.57899311548f,
4.31615513161f,
0,
0,
0,
3,
-0.265087957711f,
-0.265087957711f,
-2.5952639419f,
4.32354044159f,
0,
0,
0,
3,
-0.265618810868f,
-0.265618810868f,
-2.61116286371f,
4.33067399066f,
0,
0,
0,
3,
-0.266137667344f,
-0.266137667344f,
-2.62670248786f,
4.33756709332f,
0,
0,
0,
3,
-0.266644929262f,
-0.266644929262f,
-2.64189485783f,
4.34423043551f,
0,
0,
0,
3,
-0.267140980972f,
-0.267140980972f,
-2.65675148482f,
4.35067411606f,
0,
0,
0,
3,
-0.267626190022f,
-0.267626190022f,
-2.67128337679f,
4.35690768501f,
0,
0,
0,
3,
-0.268100908065f,
-0.268100908065f,
-2.6855010657f,
4.36294017896f,
0,
0,
0,
3,
-0.268565471711f,
-0.268565471711f,
-2.69941463291f,
4.3687801539f,
0,
0,
0,
3,
-0.269020203322f,
-0.269020203322f,
-2.7130337331f,
4.37443571549f,
0,
0,
0,
3,
-0.269465411759f,
-0.269465411759f,
-2.72636761653f,
4.37991454727f,
0,
0,
0,
3,
-0.269901393077f,
-0.269901393077f,
-2.73942515004f,
4.38522393675f,
0,
0,
0,
3,
-0.27032843119f,
-0.27032843119f,
-2.75221483671f,
4.39037079963f,
0,
0,
0,
3,
-0.270746798477f,
-0.270746798477f,
-2.76474483431f,
4.39536170235f,
0,
0,
0,
3,
-0.271156756372f,
-0.271156756372f,
-2.77702297266f,
4.40020288306f};
double d(1.0e-06);
sort_Events(events);
for (auto i = 0; i < 82 * 8; i++) {
TS_ASSERT_DELTA(events[i], ref[i], d);
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 histograms (the rest is outside of 2theta limits)
TS_ASSERT_EQUALS(nws->getNPoints(), 574);
AnalysisDataService::Instance().remove(normWSName);
void test_TOFWSDataRotateEPP() {
// test whether the calculation for inelastic data are correct
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", "dnstof.d_dat"));
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", 3.55));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("b", 3.55));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("c", 24.778));
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", "25.0,60.0"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("DeltaEmin", "-3.0"));
TS_ASSERT_THROWS_NOTHING(alg.setProperty("ElasticChannel", "64"));
TS_ASSERT_THROWS_NOTHING(alg.execute(););
TS_ASSERT(alg.isExecuted());
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// 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, NULL);
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(), 574);
std::vector<coord_t> events;
size_t ncols;
box->getEventsData(events, ncols);
// 8 columns: I, err^2, run_num, det_id, h, k, l, dE
TS_ASSERT_EQUALS(ncols, 8);
// 8*574 = 4592
TS_ASSERT_EQUALS(events.size(), 4592);
// reference vector, EPP should be near dE=0
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const std::vector<coord_t> ref = {0,
0,
0,
4,
0.0354153287653f,
0.0354153287653f,
3.30960431031f,
-2.22473993186f,
0,
0,
0,
4,
0.0119271789404f,
0.0119271789404f,
3.14246833446f,
-1.53897441518f,
1,
1,
0,
4,
-0.00926944407241f,
-0.00926944407241f,
2.99163830747f,
-0.951095651067f,
1,
1,
0,
4,
-0.0284942882003f,
-0.0284942882003f,
2.85483898067f,
-0.443322919741f,
1,
1,
0,
4,
-0.0460102572946f,
-0.0460102572946f,
2.73019959403f,
-0.00173676689289f,
3,
3,
0,
4,
-0.0620355056149f,
-0.0620355056149f,
2.61616781476f,
0.384685191257f,
1,
1,
0,
4,
-0.0767525703988f,
-0.0767525703988f,
2.51144475217f,
0.724762824962f,
1,
1,
0,
4,
-0.0903153555918f,
-0.0903153555918f,
2.41493526311f,
1.02562126597f,
0,
0,
0,
4,
-0.102854534355f,
-0.102854534355f,
2.32570950908f,
1.29306717609f,
0,
0,
0,
4,
-0.114481772845f,
-0.114481772845f,
2.24297290079f,
1.53187104043f,
0,
0,
0,
4,
-0.125293064774f,
-0.125293064774f,
2.16604237028f,
1.7459813825f,
0,
0,
0,
4,
-0.135371387759f,
-0.135371387759f,
2.09432746896f,
1.93868903792f,
0,
0,
0,
4,
-0.144788837105f,
-0.144788837105f,
2.02731518411f,
2.11275436309f,
0,
0,
0,
4,
-0.153608353159f,
-0.153608353159f,
1.96455764752f,
2.27050663742f,
0,
0,
0,
4,
-0.161885129764f,
-0.161885129764f,
1.90566211317f,
2.41392239469f,
0,
0,
0,
4,
-0.169667770453f,
-0.169667770453f,
1.85028273012f,
2.54468763779f,
0,
0,
0,
4,
-0.176999243565f,
-0.176999243565f,
1.7981137461f,
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