code: def _encode_vocabulary_accumulator(token_bytes, value_bytes):
      return struct.pack(
          "qq{}s{}s".format(len(token_bytes), len(value_bytes)),
          len(token_bytes),
          len(value_bytes),
          token_bytes,
          value_bytes,
      )
  
imports: import functools
  import os
  import struct
  from typing import Callable, Mapping, List
  import uuid
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  import tensorflow_transform
  from tensorflow_transform import analyzer_nodes
  from tensorflow_transform import common_types
  from tensorflow_transform import impl_helper
  from tensorflow_transform import nodes
  import tensorflow_transform.beam
  from tensorflow_transform.beam import analysis_graph_builder
  from tensorflow_transform.beam import analyzer_cache
  from tensorflow_transform.beam import tft_unit
  from tensorflow_transform.tf_metadata import dataset_metadata
  from tfx_bsl.types import tfx_namedtuple
label_desc: Use image node_id 2 for calling a global function with example usage: _encode_vocabulary_accumulator(token_bytes, value_bytes) and returns: struct