code: def default_slicer(
      record_batch: pa.RecordBatch,
  ) -> Iterable[types.SlicedRecordBatch]:
      """Default slicing function that adds the default slice key to the input."""
      yield (constants.DEFAULT_SLICE_KEY, record_batch)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from collections import abc
  import functools
  import logging
  from typing import Any, Dict, Iterable, List, Optional, Text, Union, Tuple
  import apache_beam
  import numpy
  import pandas
  import pandas.core.computation.expressions
  import pyarrow
  import six
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.arrow import arrow_util
  from tensorflow_data_validation.utils import stats_util
  from tfx_bsl.arrow import array_util
  from tfx_bsl.arrow import sql_util
  from tfx_bsl.arrow import table_util
  from tfx_bsl.public.proto import slicing_spec_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: default_slicer(record_batch) without return types