@Override
public StyledString getStyledText(Object element) {
if (element instanceof AddNewFunctionModel) {
return new StyledString("Add new function", StyledString.COUNTER_STYLER);
} else if (element instanceof SetFunctionModel) {
return new StyledString("Set function", StyledString.COUNTER_STYLER);
} else if (element instanceof FunctionModel) {
FunctionModel functionModel = (FunctionModel) element;
IFunction function = functionModel.getFunction();
if (function instanceof JexlExpressionFunction) {
return getJexlStyledText((JexlExpressionFunction) function);
} else {
return new StyledString(function.getName());
}
} else if (element instanceof OperatorModel) {
OperatorModel operatorModel = (OperatorModel) element;
IOperator operator = operatorModel.getOperator();
return new StyledString(operator.getName());
} else if (element instanceof ParameterModel) {
ParameterModel parameterModel = (ParameterModel) element;
return new StyledString(parameterModel.getParameter().getName());
}
return new StyledString("");
}
@Test
public void testParameterModelParsingSpecialValues() {
Gaussian gaussian = new Gaussian();
ParameterModel parameterModel =
new ParameterModel(createMockModelRoot(), mock(FunctionModel.class), gaussian, 0);
parameterModel.setParameterValue("Min Double");
assertEquals(-Double.MAX_VALUE, parameterModel.getParameterValue(), 0);
parameterModel.setParameterValue("Max Double");
assertEquals(Double.MAX_VALUE, parameterModel.getParameterValue(), 0);
}
@Override
public void run() {
FunctionModelElement model = viewer.getSelectedFunctionModel();
if (model instanceof ParameterModel) {
ParameterModel parameterModel = (ParameterModel) model;
IParameter fittedParameter = parameterModel.getFittedParameter();
if (fittedParameter != null) {
parameterModel.setParameterValue(fittedParameter.getValue());
viewer.refresh(parameterModel.getParameter());
}
}
}
@Test
public void testParameterModel() {
Gaussian gaussian = new Gaussian();
ParameterModel parameterModel =
new ParameterModel(createMockModelRoot(), mock(FunctionModel.class), gaussian, 0);
parameterModel.setParameterValue("123.4");
assertEquals(123.4, parameterModel.getParameterValue(), 0);
assertEquals(null, parameterModel.getParameterValueError());
parameterModel.setParameterLowerLimit("-456.7");
assertEquals(-456.7, parameterModel.getParameterLowerLimit(), 0);
assertEquals(null, parameterModel.getParameterLowerLimitError());
parameterModel.setParameterUpperLimit("789.1");
assertEquals(789.1, parameterModel.getParameterUpperLimit(), 0);
assertEquals(null, parameterModel.getParameterUpperLimitError());
parameterModel.setParameterValue("invalid1");
assertEquals(123.4, parameterModel.getParameterValue(), 0);
assertEquals("invalid1", parameterModel.getParameterValueError());
parameterModel.setParameterLowerLimit("invalid2");
assertEquals(-456.7, parameterModel.getParameterLowerLimit(), 0);
assertEquals("invalid2", parameterModel.getParameterLowerLimitError());
parameterModel.setParameterUpperLimit("invalid3");
assertEquals(789.1, parameterModel.getParameterUpperLimit(), 0);
assertEquals("invalid3", parameterModel.getParameterUpperLimitError());
}
