parameters: (self)
return_statement: return normalisations
docstring: Returns the normalisations within the TF Asymmetry single fit functions.
docstring_summary: Returns the normalisations within the TF Asymmetry single fit functions.
docstring_tokens: Returns the normalisations within the TF Asymmetry single fit functions .
function: def _get_all_normalisations_for_single_fit_mode(self) -> list:
          """Returns the normalisations within the TF Asymmetry single fit functions."""
          normalisations = []
          for dataset_index in range(self.fitting_context.number_of_datasets):
              tf_single_fit_function = self.fitting_context.tf_asymmetry_single_functions[dataset_index]
              normalisations.append(self._get_normalisation_from_tf_asymmetry_single_fit_function(tf_single_fit_function))
          return normalisations
function_tokens: def _get_all_normalisations_for_single_fit_mode ( self ) -> list : normalisations = [ ] for dataset_index in range ( self . fitting_context . number_of_datasets ) : tf_single_fit_function = self . fitting_context . tf_asymmetry_single_functions [ dataset_index ] normalisations . append ( self . _get_normalisation_from_tf_asymmetry_single_fit_function ( tf_single_fit_function ) ) return normalisations