code: def __init__(
      self,
      serialized_fns,
      input_data_converter: DataConverter,
      output_data_converter: DataConverter,
      runtime_context,
      function_context,
      timer_context,
      side_output_context,
      job_parameters,
      keyed_state_backend,
      operator_state_backend,
  ):
      operations = [
          extract_process_function(
              serialized_fn,
              runtime_context,
              function_context,
              timer_context,
              side_output_context,
              job_parameters,
              keyed_state_backend,
              operator_state_backend,
          )
          for serialized_fn in serialized_fns
      ]
      super(OneInputFunctionOperation, self).__init__(
          operations, output_data_converter
      )
      self._input_data_converter = input_data_converter
  
file_path: flink/flink-python/pyflink/fn_execution/embedded/operations.py
imports: from pyflink.fn_execution.datastream.embedded.operations import extract_process_function
  from pyflink.fn_execution.embedded.converters import DataConverter
label_desc: Use image node_id 1 to create a new OneInputFunctionOperation object from inherited base classes: FunctionOperation with example: obj = OneInputFunctionOperation(serialized_fns, input_data_converter, output_data_converter, runtime_context, function_context, timer_context, side_output_context, job_parameters, keyed_state_backend, operator_state_backend)