code: def sentinel_id(vocabulary_size, return_value=None):
      """T5-style preprocessing."""
      if return_value is not None:
          return return_value
      return vocabulary_size - 1
  
imports: import functools
  from typing import Any, Mapping, Optional, Union
  from dmvr import builders
  from dmvr import processors
  from dmvr import tokenizers
  import gin
  from t5.data.preprocessors import DenoiseInputsFn
  from t5.data.preprocessors import DenoiseNoiseMaskFn
  from t5.data.preprocessors import DenoiseTargetsFn
  from t5.data.preprocessors import random_spans_noise_mask
  import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: sentinel_id(vocabulary_size, return_value) and returns: unknown, return_value