def initByName(self, name, *args, **kwargs):
"""
intialise composite function of named type.
E.g. "ProductFunction"
This function would be protected in c++
and should not be called directly except
by :meth:`__init__` functions of this class
and subclasses.
:param name: name of class calling this.
:param args: names of functions in composite function
:param kwargs: any parameters or attributes that must be passed to the
composite function itself.
"""
if len(args) == 1 and not isinstance(args[0], FunctionWrapper):
# We have a composite function to wrap
self.fun = args[0]
else:
self.fun = FunctionFactory.createCompositeFunction(name)
# Add the functions, checking for Composite & Product functions
for a in args:
if not isinstance(a, int):
if isinstance(a, CompositeFunctionWrapper):
if self.pureAddition:
self.pureAddition = a.pureAddition
if self.pureMultiplication:
self.pureMultiplication = a.pureMultiplication
functionToAdd = FunctionFactory.createInitialized(a.fun.__str__())
self.fun.add(functionToAdd)
self.init_paramgeters_and_attributes(**kwargs)
def initByName(self, name, *args, **kwargs):
"""
intialise composite function of named type.
E.g. "ProductFunction"
This function would be protected in c++
and should not be called directly except
by :meth:`__init__` functions of this class
and subclasses.
:param name: name of class calling this.
:param args: names of functions in composite function
:param kwargs: any parameters or attributes that must be passed to the
composite function itself.
"""
if len(args) == 1 and not isinstance(args[0], FunctionWrapper):
# We have a composite function to wrap
self.fun = args[0]
else:
self.fun = FunctionFactory.createCompositeFunction(name)
# Add the functions, checking for Composite & Product functions
for a in args:
if not isinstance(a, int):
if isinstance(a, CompositeFunctionWrapper):
if self.pureAddition:
self.pureAddition = a.pureAddition
if self.pureMultiplication:
self.pureMultiplication = a.pureMultiplication
functionToAdd = FunctionFactory.createInitialized(
a.fun.__str__())
self.fun.add(functionToAdd)
self.init_paramgeters_and_attributes(**kwargs)
def setUpClass(cls):
delta = 0.33
x = np.linspace(0., 15., 100)
x_offset = np.linspace(delta / 2, 15. + delta / 2, 100)
x_offset_neg = np.linspace(-delta / 2, 15. - delta / 2, 100)
testFunction = GausOsc(Frequency=1.5, A=0.22)
y1 = testFunction(x_offset_neg)
y2 = testFunction(x_offset)
y = y1 / 2 + y2 / 2
ws = CreateWorkspace(x, y)
convolution = FunctionFactory.createCompositeFunction('Convolution')
innerFunction = FunctionFactory.createInitialized('name=GausOsc,A=0.2,Sigma=0.2,Frequency=1,Phi=0')
deltaFunctions = FunctionFactory.createInitialized(
'(name=DeltaFunction,Height=0.5,Centre={},ties=(Height=0.5,Centre={});name=DeltaFunction,Height=0.5,'
'Centre={},ties=(Height=0.5,Centre={}))'.format(
-delta / 2, -delta / 2, delta / 2, delta / 2))
convolution.setAttributeValue('FixResolution', False)
convolution.add(innerFunction)
convolution.add(deltaFunctions)
MultiDomainSingleFunction = FunctionFactory.createInitializedMultiDomainFunction(
'name=GausOsc,A=0.2,Sigma=0.2,Frequency=1,Phi=0', 2)
MultiDomainConvolutionFunction = FunctionFactory.createInitializedMultiDomainFunction(str(convolution), 2)
DoublePulseFit(Function=MultiDomainSingleFunction, InputWorkspace=ws, InputWorkspace_1=ws, CreateOutput=True,
PulseOffset=delta, StartX=0.0, EndX=15.0, Output='DoublePulseFit', MaxIterations=1)
Fit(Function=MultiDomainConvolutionFunction, InputWorkspace=ws, InputWorkspace_1=ws, CreateOutput=True,
StartX=0.0, EndX=15.0, Output='Fit', MaxIterations=1)
