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ConvertFitFunctionForMuonTFAsymmetryTest.h
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ConvertFitFunctionForMuonTFAsymmetryTest.h
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// Mantid Repository : https://github.com/mantidproject/mantid
//
// Copyright © 2018 ISIS Rutherford Appleton Laboratory UKRI,
// NScD Oak Ridge National Laboratory, European Spallation Source,
// Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
// SPDX - License - Identifier: GPL - 3.0 +
#pragma once
#include "MantidAPI/AlgorithmManager.h"
#include "MantidAPI/FrameworkManager.h"
#include "MantidAPI/FunctionFactory.h"
#include "MantidAPI/ITableWorkspace.h"
#include "MantidAPI/TableRow.h"
#include "MantidAPI/WorkspaceFactory.h"
#include "MantidFrameworkTestHelpers/WorkspaceCreationHelper.h"
#include "MantidMuon/ConvertFitFunctionForMuonTFAsymmetry.h"
#include <cxxtest/TestSuite.h>
using namespace Mantid::API;
using Mantid::Muon::ConvertFitFunctionForMuonTFAsymmetry;
const std::string outputName = "EstimateMuonAsymmetryFromCounts_Output";
namespace {
const std::string NORM_PARAM{"f0.f0.A0"};
const std::string OFFSET_PARAM{"f0.f1.f0.A0"};
const std::string USER_FUNC{"f0.f1.f1."};
const std::string EXP_PARAM{"f1.A"};
struct yData {
double operator()(const double x, size_t) {
// Create a fake muon dataset
return (x);
}
};
struct eData {
double operator()(const double, size_t) { return 0.005; }
};
MatrixWorkspace_sptr createWorkspace() {
MatrixWorkspace_sptr ws =
WorkspaceCreationHelper::create2DWorkspaceFromFunction(yData(), 1, 0.0, 1.0, (1.0 / 50.), true, eData());
return ws;
}
ITableWorkspace_sptr genTable() {
ITableWorkspace_sptr table = WorkspaceFactory::Instance().createTable();
table->addColumn("double", "norm");
table->addColumn("str", "name");
table->addColumn("str", "method");
std::vector<std::string> names = {"ws1", "ws2", "ws3"};
for (size_t j = 0; j < names.size(); j++) {
TableRow row = table->appendRow();
row << double(j + 1) << names[j] << "test";
}
return table;
}
IAlgorithm_sptr setUpAlg(const std::vector<std::string> &wsNames, const IFunction_sptr &func, bool copyTies = true) {
auto asymmAlg = AlgorithmManager::Instance().create("ConvertFitFunctionForMuonTFAsymmetry");
asymmAlg->initialize();
asymmAlg->setChild(true);
asymmAlg->setProperty("WorkspaceList", wsNames);
ITableWorkspace_sptr table = genTable();
asymmAlg->setProperty("NormalizationTable", table);
asymmAlg->setProperty("InputFunction", func);
asymmAlg->setProperty("CopyTies", copyTies);
return asymmAlg;
}
void genData() {
auto ws1 = createWorkspace();
AnalysisDataService::Instance().addOrReplace("ws1", ws1);
AnalysisDataService::Instance().addOrReplace("ws2", ws1);
AnalysisDataService::Instance().addOrReplace("ws3", ws1);
}
IFunction_sptr doFit(const IFunction_sptr &func, int iterations, std::vector<std::string> wsNames) {
auto fit = AlgorithmManager::Instance().create("Fit");
fit->initialize();
fit->setProperty("Function", func);
fit->setProperty("InputWorkspace", wsNames[0]);
if (wsNames.size() > 1) {
fit->setProperty("InputWorkspace_1", wsNames[1]);
}
fit->setProperty("Output", "fit");
fit->setProperty("MaxIterations", iterations);
fit->execute();
std::string funcString = fit->getPropertyValue("Function");
return FunctionFactory::Instance().createInitialized(funcString);
}
} // namespace
class ConvertFitFunctionForMuonTFAsymmetryTest : 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 ConvertFitFunctionForMuonTFAsymmetryTest *createSuite() {
return new ConvertFitFunctionForMuonTFAsymmetryTest();
}
static void destroySuite(ConvertFitFunctionForMuonTFAsymmetryTest *suite) { delete suite; }
ConvertFitFunctionForMuonTFAsymmetryTest() { FrameworkManager::Instance(); }
void testInit() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func =
FunctionFactory::Instance().createInitialized("name=LinearBackground,A0=0,A1=2;ties =(f0.A1=2)");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
}
void test_Execute() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func =
FunctionFactory::Instance().createInitialized("name=LinearBackground,A0=0,A1=2;ties =(f0.A1=2)");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
}
void test_1D() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func = FunctionFactory::Instance().createInitialized("name=LinearBackground,A0=0,A1=2;");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = alg->getProperty("OutputFunction");
auto outFunc = doFit(normFunc, 0, wsNames);
TS_ASSERT_DELTA(outFunc->getParameter(OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(outFunc->getParameter(EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DELTA(outFunc->getParameter(USER_FUNC + "A1"), 2.0, 0.0001);
}
void test_1DFix() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func =
FunctionFactory::Instance().createInitialized("name=LinearBackground,A0=0,A1=2;ties =(f0.A1=2)");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = alg->getProperty("OutputFunction");
auto outFunc = doFit(normFunc, 200, wsNames);
TS_ASSERT_DELTA(outFunc->getParameter(OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(outFunc->getParameter(EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DELTA(outFunc->getParameter(USER_FUNC + "A1"), 2.0, 0.0001);
TS_ASSERT_DIFFERS(outFunc->getParameter(USER_FUNC + "A0"), 0.0);
}
void test_1DTie() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func = FunctionFactory::Instance().createInitialized(
"name=LinearBackground,A0=0,A1=2;name=LinearBackground,A0=0,A1=4;ties "
"=(f0.A1=f1.A1)");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = alg->getProperty("OutputFunction");
auto outFunc = doFit(normFunc, 200, wsNames);
TS_ASSERT_DELTA(outFunc->getParameter(OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(outFunc->getParameter(EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_EQUALS(outFunc->getParameter(USER_FUNC + "f0.A1"), outFunc->getParameter(USER_FUNC + "f1.A1"));
TS_ASSERT_DIFFERS(outFunc->getParameter(USER_FUNC + "f0.A0"), func->getParameter("f0.A0"));
TS_ASSERT_DIFFERS(outFunc->getParameter(USER_FUNC + "f1.A0"), func->getParameter("f1.A0"));
}
void test_1DTieWithoutCopyTies() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func = FunctionFactory::Instance().createInitialized(
"name=LinearBackground,A0=0,A1=2;name=LinearBackground,A0=0,A1=4;ties "
"=(f0.A1=f1.A1)");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = alg->getProperty("OutputFunction");
TS_ASSERT_EQUALS(normFunc->getTie(0), nullptr);
}
// tests for multi domain
void test_2D() {
genData();
std::vector<std::string> wsNames = {"ws1", "ws2"};
std::string multiFuncString = "composite=MultiDomainFunction,NumDeriv=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=0,A1=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=2,A1=3;";
IFunction_sptr multiFunc = FunctionFactory::Instance().createInitialized(multiFuncString);
auto alg = setUpAlg(wsNames, multiFunc);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = doFit(alg->getProperty("OutputFunction"), 0, wsNames);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + NORM_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + USER_FUNC + "A0"), 0.0, 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + USER_FUNC + "A1"), 1.0, 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + NORM_PARAM), 2., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + USER_FUNC + "A0"), 2.0, 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + USER_FUNC + "A1"), 3.0, 0.0001);
}
void test_2DFix() {
genData();
std::vector<std::string> wsNames = {"ws1", "ws2"};
std::string multiFuncString = "composite=MultiDomainFunction,NumDeriv=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=0,A1=1.5;";
multiFuncString += "name=LinearBackground, $domains=i,A0=2,A1=3;";
IFunction_sptr multiFunc = FunctionFactory::Instance().createInitialized(multiFuncString);
multiFunc->addTies("f0.A1=1.5");
auto alg = setUpAlg(wsNames, multiFunc);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = doFit(alg->getProperty("OutputFunction"), 200, wsNames);
TS_ASSERT_DIFFERS(normFunc->getParameter("f0." + NORM_PARAM), 1.);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DIFFERS(normFunc->getParameter("f0." + USER_FUNC + "A0"), 0.0);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + USER_FUNC + "A1"), 1.5, 0.0001);
TS_ASSERT_DIFFERS(normFunc->getParameter("f1." + NORM_PARAM), 2.);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DIFFERS(normFunc->getParameter("f1." + USER_FUNC + "A0"), 2.0);
TS_ASSERT_DIFFERS(normFunc->getParameter("f1." + USER_FUNC + "A1"), 3.0);
}
void test_2DTie() {
genData();
std::vector<std::string> wsNames = {"ws1", "ws2"};
std::string multiFuncString = "composite=MultiDomainFunction,NumDeriv=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=0,A1=1.5;";
multiFuncString += "name=LinearBackground, $domains=i,A0=2,A1=3;";
IFunction_sptr multiFunc = FunctionFactory::Instance().createInitialized(multiFuncString);
multiFunc->addTies("f0.A1=f1.A1");
auto alg = setUpAlg(wsNames, multiFunc);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = doFit(alg->getProperty("OutputFunction"), 200, wsNames);
TS_ASSERT_DIFFERS(normFunc->getParameter("f0." + NORM_PARAM), 1.);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f0." + EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DIFFERS(normFunc->getParameter("f0." + USER_FUNC + "A0"), 0.0);
TS_ASSERT_EQUALS(normFunc->getParameter("f0." + USER_FUNC + "A1"),
normFunc->getParameter("f1." + USER_FUNC + "A1"));
TS_ASSERT_DIFFERS(normFunc->getParameter("f1." + NORM_PARAM), 2.);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + OFFSET_PARAM), 1., 0.0001);
TS_ASSERT_DELTA(normFunc->getParameter("f1." + EXP_PARAM), 0.0, 0.0001);
TS_ASSERT_DIFFERS(normFunc->getParameter("f1." + USER_FUNC + "A0"), 2.0);
}
// test extract
void test_1DExtract() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func = FunctionFactory::Instance().createInitialized("name=LinearBackground,A0=0,A1=2;");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = alg->getProperty("OutputFunction");
alg = setUpAlg(wsNames, normFunc);
alg->setProperty("Mode", "Extract");
TS_ASSERT(alg->isInitialized());
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr outFunc = alg->getProperty("OutputFunction");
// auto outFunc = doFit(normFunc,0,wsNames);
TS_ASSERT_DELTA(outFunc->getParameter("A0"), 0.0, 0.0001);
TS_ASSERT_DELTA(outFunc->getParameter("A1"), 2.0, 0.0001);
}
void test_1DFixExtract() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func =
FunctionFactory::Instance().createInitialized("name=LinearBackground,A0=0,A1=2;ties =(f0.A1=2)");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = alg->getProperty("OutputFunction");
auto outFunc = doFit(normFunc, 200, wsNames);
alg = setUpAlg(wsNames, outFunc);
alg->setProperty("Mode", "Extract");
TS_ASSERT(alg->isInitialized());
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr extractFunc = alg->getProperty("OutputFunction");
TS_ASSERT_DELTA(extractFunc->getParameter("A1"), 2.0, 0.0001);
TS_ASSERT_EQUALS(outFunc->getParameter(USER_FUNC + "A0"), extractFunc->getParameter("A0"));
}
void test_1DTieExtract() {
genData();
std::vector<std::string> wsNames = {"ws1"};
IFunction_sptr func = FunctionFactory::Instance().createInitialized(
"name=LinearBackground,A0=0,A1=2;name=LinearBackground,A0=0,A1=4;ties "
"=(f0.A1=f1.A1)");
auto alg = setUpAlg(wsNames, func);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = alg->getProperty("OutputFunction");
auto outFunc = doFit(normFunc, 200, wsNames);
alg = setUpAlg(wsNames, outFunc);
alg->setProperty("Mode", "Extract");
TS_ASSERT(alg->isInitialized());
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr extractFunc = alg->getProperty("OutputFunction");
TS_ASSERT_EQUALS(extractFunc->getParameter("f0.A1"), extractFunc->getParameter("f1.A1"));
TS_ASSERT_DIFFERS(extractFunc->getParameter("f0.A0"), func->getParameter("f0.A0"));
TS_ASSERT_DIFFERS(extractFunc->getParameter("f1.A0"), func->getParameter("f1.A0"));
}
// tests for multi domain
void test_2DExtract() {
genData();
std::vector<std::string> wsNames = {"ws1", "ws2"};
std::string multiFuncString = "composite=MultiDomainFunction,NumDeriv=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=0,A1=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=2,A1=3;";
IFunction_sptr multiFunc = FunctionFactory::Instance().createInitialized(multiFuncString);
auto alg = setUpAlg(wsNames, multiFunc);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = doFit(alg->getProperty("OutputFunction"), 0, wsNames);
alg = setUpAlg(wsNames, normFunc);
alg->setProperty("Mode", "Extract");
TS_ASSERT(alg->isInitialized());
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr extractFunc = alg->getProperty("OutputFunction");
TS_ASSERT_DELTA(extractFunc->getParameter("f0.A0"), 0.0, 0.0001);
TS_ASSERT_DELTA(extractFunc->getParameter("f0.A1"), 1.0, 0.0001);
TS_ASSERT_DELTA(extractFunc->getParameter("f1.A0"), 2.0, 0.0001);
TS_ASSERT_DELTA(extractFunc->getParameter("f1.A1"), 3.0, 0.0001);
}
void test_2DFixExtract() {
genData();
std::vector<std::string> wsNames = {"ws1", "ws2"};
std::string multiFuncString = "composite=MultiDomainFunction,NumDeriv=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=0,A1=1.5;";
multiFuncString += "name=LinearBackground, $domains=i,A0=2,A1=3;";
IFunction_sptr multiFunc = FunctionFactory::Instance().createInitialized(multiFuncString);
multiFunc->addTies("f0.A1=1.5");
auto alg = setUpAlg(wsNames, multiFunc);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = doFit(alg->getProperty("OutputFunction"), 200, wsNames);
alg = setUpAlg(wsNames, normFunc);
alg->setProperty("Mode", "Extract");
TS_ASSERT(alg->isInitialized());
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr extractFunc = alg->getProperty("OutputFunction");
TS_ASSERT_DIFFERS(extractFunc->getParameter("f0.A0"), 0.0);
TS_ASSERT_DELTA(extractFunc->getParameter("f0.A1"), 1.5, 0.0001);
TS_ASSERT_DIFFERS(extractFunc->getParameter("f1.A0"), 2.0);
TS_ASSERT_DIFFERS(extractFunc->getParameter("f1.A1"), 3.0);
}
void test_2DTieExtract() {
genData();
std::vector<std::string> wsNames = {"ws1", "ws2"};
std::string multiFuncString = "composite=MultiDomainFunction,NumDeriv=1;";
multiFuncString += "name=LinearBackground, $domains=i,A0=0,A1=1.5;";
multiFuncString += "name=LinearBackground, $domains=i,A0=2,A1=3;";
IFunction_sptr multiFunc = FunctionFactory::Instance().createInitialized(multiFuncString);
multiFunc->addTies("f0.A1=f1.A1");
auto alg = setUpAlg(wsNames, multiFunc);
TS_ASSERT(alg->isInitialized())
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr normFunc = doFit(alg->getProperty("OutputFunction"), 200, wsNames);
alg = setUpAlg(wsNames, normFunc);
alg->setProperty("Mode", "Extract");
TS_ASSERT(alg->isInitialized());
TS_ASSERT_THROWS_NOTHING(alg->execute());
TS_ASSERT(alg->isExecuted());
IFunction_sptr extractFunc = alg->getProperty("OutputFunction");
TS_ASSERT_DIFFERS(extractFunc->getParameter("f0.A0"), 0.0);
TS_ASSERT_EQUALS(extractFunc->getParameter("f0.A1"), extractFunc->getParameter("f1.A1"));
TS_ASSERT_DIFFERS(extractFunc->getParameter("f1.A0"), 2.0);
}
private:
MatrixWorkspace_sptr input;
};