parameters: (self, value: float)
docstring: Sets the normalisation in the current TF Asymmetry single function or simultaneous function.
docstring_summary: Sets the normalisation in the current TF Asymmetry single function or simultaneous function.
docstring_tokens: Sets the normalisation in the current TF Asymmetry single function or simultaneous function .
function: def set_current_normalisation(self, value: float) -> None:
          """Sets the normalisation in the current TF Asymmetry single function or simultaneous function."""
          current_dataset_index = self.fitting_context.current_dataset_index
          if current_dataset_index is not None:
              if self.fitting_context.simultaneous_fitting_mode:
                  self._set_normalisation_in_tf_asymmetry_simultaneous_function(
                      self.fitting_context.tf_asymmetry_simultaneous_function, current_dataset_index, value)
              else:
                  self._set_normalisation_in_tf_asymmetry_single_fit_function(current_dataset_index, value)
function_tokens: def set_current_normalisation ( self , value : float ) -> None : current_dataset_index = self . fitting_context . current_dataset_index if current_dataset_index is not None : if self . fitting_context . simultaneous_fitting_mode : self . _set_normalisation_in_tf_asymmetry_simultaneous_function ( self . fitting_context . tf_asymmetry_simultaneous_function , current_dataset_index , value ) else : self . _set_normalisation_in_tf_asymmetry_single_fit_function ( current_dataset_index , value )