code: def _parse_example(serialized: bytes):
      # TODO(b/227361696): Validate that data are examples.
      ex = tf.train.Example()
      ex.ParseFromString(serialized)
      return ex
  
imports: import os
  from typing import Any, Dict, List
  from absl import logging
  import apache_beam
  import tensorflow
  from tensorflow_data_validation.skew import feature_skew_detector
  from tfx import types
  from tfx.components.util import tfxio_utils
  from tfx.dsl.components.base import base_beam_executor
  from tfx.proto import example_diff_pb2
  from tfx.types import artifact_utils
  from tfx.types import standard_component_specs
  from tfx.utils import io_utils
  from tfx.utils import json_utils
  from tfx_bsl.tfxio import record_based_tfxio
label_desc: Use image node_id 1 for calling a global function with example usage: _parse_example(serialized) and returns: ex