def __init__(self, name): """Define the generator. Note that a ProfileGenerator needs a name passed in the initializer. This makes it so the generator can be referenced by name when it is part of a FitContribution. Here we create the Parameters for the calculation. A -- The amplitude x0 -- The center sigma -- The width """ # This initializes various parts of the generator ProfileGenerator.__init__(self, name) # Here we create new Parameters using the '_newParameter' method of # ProfileGenerator. The signature is # _newParameter(name, value). # See the API for full details. self._newParameter('A', 1.0) self._newParameter('x0', 0.0) self._newParameter('sigma', 1.0) return
def __init__(self, name): ProfileGenerator.__init__(self, name) self._newParameter("wavelength", 10.0) self._newParameter("center", 2.0) self._newParameter("cos_coef", .1) self._newParameter("sin_coef", .1) self._newParameter("left_std", 5.) self._newParameter("right_std", 5.0) return
def processMetaData(self): """Process the metadata once it gets set.""" ProfileGenerator.processMetaData(self) for name in self.__class__._parnames: val = self.meta.get(name) if val is not None: par = self.get(name) par.setValue(val) return
def __init__(self, name): """Define our generator. In this example we will keep count of how many times the calculation gets performed. The 'count' attribute will be used to store the count. """ ProfileGenerator.__init__(self, name) # Count the calls self.count = 0 return
def __init__(self, name = "pdf"): """Initialize the generator.""" ProfileGenerator.__init__(self, name) self._phase = None self.stru = None self.meta = {} self._lastr = None self._calc = None self._pool = None return
def __init__(self, name="pdf"): """Initialize the generator.""" ProfileGenerator.__init__(self, name) self._phase = None self.stru = None self.meta = {} self._lastr = numpy.empty(0) self._calc = None self._pool = None return
def __init__(self, name="pdf"): """Initialize the generator.""" ProfileGenerator.__init__(self, name) self._pdfprofile = None # self.xscale = 1.0 # self.yscale = 1.0 self.meta = {'xscale':1.0, 'yscale':1.0} self._lastr = None self._setCalculator() return
def _validate(self): """Validate my state. This validates that the phase is not None. This performs ProfileGenerator validations. Raises AttributeError if validation fails. """ # FIXME if self._pdfprofile is None: raise AttributeError("_pdfprofile is None") ProfileGenerator._validate(self) return
def _validate(self): """Validate my state. This validates that the phase is not None. This performs ProfileGenerator validations. Raises SrFitError if validation fails. """ if self._calc is None: raise SrFitError("_calc is None") if self._phase is None: raise SrFitError("_phase is None") ProfileGenerator._validate(self) return
def processMetaData(self): """Process the metadata once it gets set.""" ProfileGenerator.processMetaData(self) stype = self.meta.get("stype") if stype is not None: self.setScatteringType(stype) qmax = self.meta.get("qmax") if qmax is not None: self.setQmax(qmax) qmin = self.meta.get("qmin") if qmin is not None: self.setQmin(qmin) for name in self.__class__._parnames: val = self.meta.get(name) if val is not None: par = self.get(name) par.setValue(val) return
def __init__(self, name, model): """Initialize the generator. name -- A name for the SASGenerator model -- SASModel object this adapts. """ ProfileGenerator.__init__(self, name) self._model = model # Wrap normal parameters for parname in model.params: par = SASParameter(parname, model) self.addParameter(par) # Wrap dispersion parameters for parname in model.dispersion: name = parname + "_width" parname += ".width" par = SASParameter(name, model, parname) self.addParameter(par) return
def __init__(self, name): ProfileGenerator.__init__(self, name) self._newParameter("wavelength", 20.0) self._newParameter("cos_coef", .1) self._newParameter("sin_coef", .1) return