Method __call__

pandarallel/core.py:129–172

(
        self,
        data: Any,
        progress_bars_type: ProgressBarsType,
        worker_index: int,
        master_workers_queue: multiprocessing.Queue,
        dilled_user_defined_function: bytes,
        user_defined_function_args: tuple,
        user_defined_function_kwargs: Dict[str, Any],
        extra: Dict[str, Any],
    )

        self.work_function = work_function

    def __call__(
        self,
        data: Any,
        progress_bars_type: ProgressBarsType,
        worker_index: int,
        master_workers_queue: multiprocessing.Queue,
        dilled_user_defined_function: bytes,
        user_defined_function_args: tuple,
        user_defined_function_kwargs: Dict[str, Any],
        extra: Dict[str, Any],
    ) -> Any:
        try:
            data_size = len(data)
            user_defined_function: Callable = dill.loads(dilled_user_defined_function)

            progress_wrapped_user_defined_function = progress_wrapper(
                user_defined_function, master_workers_queue, worker_index, data_size
            )

            used_user_defined_function = (
                progress_wrapped_user_defined_function
                if progress_bars_type
                in (
                    ProgressBarsType.InUserDefinedFunction,
                    ProgressBarsType.InUserDefinedFunctionMultiplyByNumberOfColumns,
                )
                else user_defined_function
            )

            results = self.work_function(
                data,
                used_user_defined_function,
                user_defined_function_args,
                user_defined_function_kwargs,
                extra,
            )

            master_workers_queue.put((worker_index, WorkerStatus.Success, None))

            return results

        except:
            master_workers_queue.put((worker_index, WorkerStatus.Error, None))
            raise


def wrap_reduce_function_for_file_system(