code: def _pad_incomplete_batch(
      data_container: "DACT",
      batch_size: int,
      default_value_data_inputs: Any,
      default_value_expected_outputs: Any,
  ) -> DACT:
      pad_di = not isinstance(
          default_value_data_inputs, StripAbsentValues
      )
      pad_eo = not isinstance(
          default_value_expected_outputs, StripAbsentValues
      )
      pad_ids = pad_di and pad_eo
  
      data_container = DACT(
          ids=_pad_data(
              data_container.ids,
              default_value=None,
              batch_size=batch_size,
          )
          if pad_ids
          else data_container.ids,
          data_inputs=_pad_data(
              data_container.data_inputs,
              default_value=default_value_data_inputs,
              batch_size=batch_size,
          )
          if pad_di
          else data_container.data_inputs,
          expected_outputs=_pad_data(
              data_container.expected_outputs,
              default_value=default_value_expected_outputs,
              batch_size=batch_size,
          )
          if pad_eo
          else data_container.expected_outputs,
      )
  
      return data_container
  
imports: import copy
  import math
  from operator import attrgetter
  from typing import Any, Callable, Generic, Iterable, Iterator, List, Optional, Tuple, TypeVar, Union
  import numpy
  import pandas
label_desc: Use image node_id 2 for calling a global function with example usage: _pad_incomplete_batch(data_container, batch_size, default_value_data_inputs, default_value_expected_outputs) and returns: data_container