code: def _bytes_feature(value: Union[bytes, str]) -> tf.train.Feature:
      """Inserts bytes features into Example proto."""
      if isinstance(value, str):
          value = bytes(value, "utf-8")
      return tf.train.Feature(
          bytes_list=tf.train.BytesList(value=[value])
      )
  
imports: from datetime import datetime
  import math
  import os
  import random
  from typing import Iterable, List, Mapping, Union, Tuple
  import sys
  import threading
  import numpy
  import tensorflow
label_desc: Use image node_id 7 for calling a global function with example usage: _bytes_feature(value) and returns: tf