code: def _unwrap_batched_extract(
      batched_extract: types.Extracts,
  ) -> List[types.Extracts]:
      """Unwraps batched extract."""
      serialized_examples = _fetch_raw_data_column(
          batched_extract[constants.ARROW_RECORD_BATCH_KEY]
      )
      return [{constants.INPUT_KEY: e} for e in serialized_examples]
  
imports: import collections
  import copy
  from typing import Any, Dict, List, Optional, Sequence
  import apache_beam
  import numpy
  import pyarrow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.eval_saved_model import constants
  from tensorflow_model_analysis.extractors import extractor
  from tensorflow_model_analysis.extractors import legacy_feature_extractor
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import model_util
label_desc: Use image node_id 4 for calling a global function with example usage: _unwrap_batched_extract(batched_extract) and returns: unknown