TEST(FunctionFactoryTest, CreateCompositeFunctionTest)
{
std::string ini = "CompositeFunction("
"FunctionFactoryTestFunction(A=10,B=20),"
"FunctionFactoryTestFunction(A=30,B=40)"
")";
IFunction_sptr fun = FunctionFactory::instance().createFitFunction(ini);
EXPECT_TRUE( fun.get() != nullptr );
CompositeFunction_sptr cf = boost::dynamic_pointer_cast<CompositeFunction>(fun);
EXPECT_TRUE( cf.get() != nullptr );
EXPECT_EQ( cf->nFunctions(), 2 );
auto f1 = cf->getFunction(0);
auto f2 = cf->getFunction(1);
EXPECT_EQ(f1->getParameter("A"),10);
EXPECT_EQ(f1->getParameter("B"),20);
EXPECT_EQ(f2->getParameter("A"),30);
EXPECT_EQ(f2->getParameter("B"),40);
EXPECT_EQ(cf->getParameter("f0.A"),10);
EXPECT_EQ(cf->getParameter("f0.B"),20);
EXPECT_EQ(cf->getParameter("f1.A"),30);
EXPECT_EQ(cf->getParameter("f1.B"),40);
std::cerr << '\n' << fun->asString(true) << '\n' << std::endl;
IFunction_sptr fun1 = FunctionFactory::instance().createFitFunction(ini);
EXPECT_TRUE( fun1.get() != nullptr );
cf = boost::dynamic_pointer_cast<CompositeFunction>(fun1);
EXPECT_TRUE( cf.get() != nullptr );
EXPECT_EQ( cf->nFunctions(), 2 );
EXPECT_EQ(cf->getParameter("f0.A"),10);
EXPECT_EQ(cf->getParameter("f0.B"),20);
EXPECT_EQ(cf->getParameter("f1.A"),30);
EXPECT_EQ(cf->getParameter("f1.B"),40);
}
TEST(FunctionFactoryTest, CreateFitFunctionTest)
{
IFunction_sptr fun = FunctionFactory::instance().createFitFunction("FunctionFactoryTestFunction(A=10,B=20)");
EXPECT_TRUE( fun.get() != nullptr );
EXPECT_EQ(fun->getParameter("A"),10);
EXPECT_EQ(fun->getParameter("B"),20);
//std::cerr << fun->asString() << std::endl;
}
/// Execute
void EstimatePeakErrors::exec() {
IFunction_sptr function = getProperty("Function");
ITableWorkspace_sptr results =
WorkspaceFactory::Instance().createTable("TableWorkspace");
results->addColumn("str", "Parameter");
results->addColumn("double", "Value");
results->addColumn("double", "Error");
auto matrix = function->getCovarianceMatrix();
if (!matrix) {
g_log.warning() << "Function doesn't have covariance matrix.\n";
setProperty("OutputWorkspace", results);
return;
}
IPeakFunction *peak = dynamic_cast<IPeakFunction *>(function.get());
if (peak) {
GSLMatrix covariance(*matrix);
calculatePeakValues(*peak, *results, covariance, "");
} else {
CompositeFunction *cf = dynamic_cast<CompositeFunction *>(function.get());
if (cf) {
size_t ip = 0;
for (size_t i = 0; i < cf->nFunctions(); ++i) {
IFunction *fun = cf->getFunction(i).get();
size_t np = fun->nParams();
peak = dynamic_cast<IPeakFunction *>(fun);
if (peak) {
std::string prefix = "f" + std::to_string(i) + ".";
GSLMatrix covariance(*matrix, ip, ip, np, np);
calculatePeakValues(*peak, *results, covariance, prefix);
}
ip += np;
}
} else {
g_log.warning() << "Function has no peaks.\n";
}
}
setProperty("OutputWorkspace", results);
}
/** Set parameter fitting setup (boundary, fix or unfix) to function from Parameter map
*/
void RefinePowderInstrumentParameters2::setFunctionParameterFitSetups(IFunction_sptr function,
map<string, Parameter> params)
{
// 1. Prepare
vector<string> funparamnames = m_positionFunc->getParameterNames();
// 2. Set up
std::map<std::string, Parameter>::iterator paramiter;
for (size_t i = 0; i < funparamnames.size(); ++i)
{
string parname = funparamnames[i];
paramiter = params.find(parname);
if (paramiter != params.end())
{
// Found, set up the parameter
Parameter& param = paramiter->second;
if (param.fit)
{
// If fit. Unfix it and set up constraint
function->unfix(i);
double lowerbound = param.minvalue;
double upperbound = param.maxvalue;
if (lowerbound >= -DBL_MAX*0.1 || upperbound <= DBL_MAX*0.1)
{
// If there is a boundary
BoundaryConstraint *bc = new BoundaryConstraint(function.get(), parname, lowerbound,
upperbound, false);
function->addConstraint(bc);
}
}
else
{
// If fix.
function->fix(i);
}
}
else
{
// Not found and thus quit
stringstream errss;
errss << "Peak profile parameter " << parname << " is not found in input parameters. ";
g_log.error(errss.str());
throw runtime_error(errss.str());
}
} // ENDFOR parameter name
g_log.notice() << "Fit function:\n" << function->asString() << "\n";
return;
}
TEST(FunctionFactoryTest, CreateFitFunction_with_brackets_Test)
{
IFunction_sptr fun = FunctionFactory::instance().createFitFunction("FunctionFactoryTestFunction()");
EXPECT_TRUE( fun.get() != nullptr );
//Function1DTestFunction fun;
FunctionDomain1DVector domain(0.0,1.0,10);
FunctionValues values(domain);
fun->function(domain,values);
for(size_t i = 0; i < domain.size(); ++i)
{
double x = domain[i];
EXPECT_EQ( 1.0 * x - 3.0, values.getCalculated(i));
}
}
/**
* Add a new workspace to the fit. The workspace is in the property named
* workspacePropertyName.
* @param workspacePropertyName :: A workspace property name (eg InputWorkspace
* or InputWorkspace_2). The property must already exist in the algorithm.
* @param addProperties :: allow for declaration of properties that specify the
* dataset within the workspace to fit to.
*/
void IFittingAlgorithm::addWorkspace(const std::string &workspacePropertyName,
bool addProperties) {
// get the workspace
API::Workspace_const_sptr ws = getProperty(workspacePropertyName);
// m_function->setWorkspace(ws);
const size_t n = std::string("InputWorkspace").size();
const std::string suffix =
(workspacePropertyName.size() > n) ? workspacePropertyName.substr(n) : "";
const size_t index =
suffix.empty() ? 0 : boost::lexical_cast<size_t>(suffix.substr(1));
IFunction_sptr fun = getProperty("Function");
setDomainType();
IDomainCreator *creator = createDomainCreator(
fun.get(), ws.get(), workspacePropertyName, this, m_domainType);
if (!m_domainCreator) {
if (m_workspacePropertyNames.empty()) {
// this defines the function and fills in m_workspacePropertyNames with
// names of the sort InputWorkspace_#
setFunction();
}
auto multiFun = boost::dynamic_pointer_cast<API::MultiDomainFunction>(fun);
if (multiFun) {
auto multiCreator =
new MultiDomainCreator(this, m_workspacePropertyNames);
multiCreator->setCreator(index, creator);
m_domainCreator.reset(multiCreator);
creator->declareDatasetProperties(suffix, addProperties);
} else {
m_domainCreator.reset(creator);
creator->declareDatasetProperties(suffix, addProperties);
}
} else {
boost::shared_ptr<MultiDomainCreator> multiCreator =
boost::dynamic_pointer_cast<MultiDomainCreator>(m_domainCreator);
if (!multiCreator) {
auto &reference = *m_domainCreator.get();
throw std::runtime_error(
std::string("MultiDomainCreator expected, found ") +
typeid(reference).name());
}
if (!multiCreator->hasCreator(index)) {
creator->declareDatasetProperties(suffix, addProperties);
}
multiCreator->setCreator(index, creator);
}
}
/** Remove a function
* @param i :: The index of the function to remove
*/
void CompositeFunction::removeFunction(size_t i) {
if (i >= nFunctions()) {
throw std::out_of_range("Function index (" + std::to_string(i) +
") out of range (" + std::to_string(nFunctions()) +
").");
}
IFunction_sptr fun = getFunction(i);
// Reduction in parameters
size_t dnp = fun->nParams();
for (size_t j = 0; j < nParams();) {
ParameterTie *tie = getTie(j);
if (tie && tie->findParametersOf(fun.get())) {
removeTie(j);
} else {
j++;
}
}
// Shift down the function indeces for parameters
for (auto it = m_IFunction.begin(); it != m_IFunction.end();) {
if (*it == i) {
it = m_IFunction.erase(it);
} else {
if (*it > i) {
*it -= 1;
}
++it;
}
}
m_nParams -= dnp;
// Shift the parameter offsets down by the total number of i-th function's
// params
for (size_t j = i + 1; j < nFunctions(); j++) {
m_paramOffsets[j] -= dnp;
}
m_paramOffsets.erase(m_paramOffsets.begin() + i);
m_functions.erase(m_functions.begin() + i);
}
/**
* Add a constraints to the function
* @param fun :: The function
* @param expr :: The constraint expression.
*/
void FunctionFactoryImpl::addConstraint(IFunction_sptr fun,
const Expression &expr) const {
IConstraint *c =
ConstraintFactory::Instance().createInitialized(fun.get(), expr);
fun->addConstraint(c);
}
