original_docstring: 
      Returns a bytes_list from a string / bytes. A string / bytes is considered a scalar by Tensorflow.
  
      :param value: A String or a Byte list.
      :type value: Union[str, bytes]
      :return: A bytes list feature.
      :rtype: tensorflow.train.Feature
      
docstring: Returns a bytes_list from a string / bytes. A string / bytes is considered a scalar by Tensorflow.
docstring_tokens: Returns a bytes_list from a string / bytes . A string / bytes is considered a scalar by Tensorflow .
code: def _bytes_feature(value):
      """
      Returns a bytes_list from a string / bytes. A string / bytes is considered a scalar by Tensorflow.
  
      :param value: A String or a Byte list.
      :type value: Union[str, bytes]
      :return: A bytes list feature.
      :rtype: tensorflow.train.Feature
      """
      if isinstance(value, type(tf.constant(0))):
          value = value.numpy()  # BytesList won't unpack a string from an EagerTensor.
      return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))
code_tokens: def _bytes_feature ( value ) : if isinstance ( value , type ( tf . constant ( 0 ) ) ) : value = value . numpy ( ) return tf . train . Feature ( bytes_list = tf . train . BytesList ( value = [ value ] ) )
short_docstring: Returns a bytes_list from a string / bytes.
short_docstring_tokens: Returns a bytes_list from a string / bytes .
comment: """
      Returns a bytes_list from a string / bytes. A string / bytes is considered a scalar by Tensorflow.
  
      :param value: A String or a Byte list.
      :type value: Union[str, bytes]
      :return: A bytes list feature.
      :rtype: tensorflow.train.Feature
      """$SEP$# BytesList won't unpack a string from an EagerTensor.