parameters: (self, parameters: dict)
return_statement: return output_workspace, parameter_table, function, fit_status, chi_squared, covariance_matrix
docstring: Does a single fit and returns the fit function, status and chi squared.
docstring_summary: Does a single fit and returns the fit function, status and chi squared.
docstring_tokens: Does a single fit and returns the fit function status and chi squared .
function: def _do_single_fit_and_return_workspace_parameters_and_fit_function(self, parameters: dict) -> tuple:
          """Does a single fit and returns the fit function, status and chi squared."""
          alg = self._create_fit_algorithm()
          output_workspace, parameter_table, function, fit_status, chi_squared, covariance_matrix = run_Fit(parameters,
                                                                                                            alg)
          CopyLogs(InputWorkspace=parameters["InputWorkspace"], OutputWorkspace=output_workspace, StoreInADS=False)
          return output_workspace, parameter_table, function, fit_status, chi_squared, covariance_matrix
function_tokens: def _do_single_fit_and_return_workspace_parameters_and_fit_function ( self , parameters : dict ) -> tuple : alg = self . _create_fit_algorithm ( ) output_workspace , parameter_table , function , fit_status , chi_squared , covariance_matrix = run_Fit ( parameters , alg ) CopyLogs ( InputWorkspace = parameters [ "InputWorkspace" ] , OutputWorkspace = output_workspace , StoreInADS = False ) return output_workspace , parameter_table , function , fit_status , chi_squared , covariance_matrix