parameters: (self)
docstring: Returns the names of the fit parameters in the fit functions.
docstring_summary: Returns the names of the fit parameters in the fit functions.
docstring_tokens: Returns the names of the fit parameters in the fit functions .
function: def get_fit_function_parameters(self) -> list:
          """Returns the names of the fit parameters in the fit functions."""
          parameters = super().get_fit_function_parameters()
          if self.fitting_context.tf_asymmetry_mode and self.fitting_context.number_of_datasets > 0:
              if self.fitting_context.simultaneous_fitting_mode:
                  return self._add_normalisation_to_parameters_for_simultaneous_fitting(
                      parameters, self._get_normalisation_parameter_name_for_simultaneous_domain)
              else:
                  return ["N0"] + parameters
          else:
              return parameters
function_tokens: def get_fit_function_parameters ( self ) -> list : parameters = super ( ) . get_fit_function_parameters ( ) if self . fitting_context . tf_asymmetry_mode and self . fitting_context . number_of_datasets > 0 : if self . fitting_context . simultaneous_fitting_mode : return self . _add_normalisation_to_parameters_for_simultaneous_fitting ( parameters , self . _get_normalisation_parameter_name_for_simultaneous_domain ) else : return [ "N0" ] + parameters else : return parameters