code: def custom_standardization(input_data):
      # Removes punctuation
      lowercase = tf.strings.lower(input_data)
      ret = tf.strings.regex_replace(
          lowercase,
          '[!"\\#\\$%\\&\\(\\)\\*\\+,\\-\\./:;<=>\\?@\\[\\\\\\]\\^_`\\{\\|\\}\\~]',
          "",
      )
      return ret
  
imports: import functools
  from typing import Any, Dict, Optional, Sequence
  from absl import logging
  from dmvr import builders
  from dmvr import processors
  from dmvr import tokenizers
  import numpy
  from scenic.projects.mbt.datasets.dataset_utils import _decode_spectrogram
  from scenic.projects.mbt.datasets.dataset_utils import apply_specaugment
  import tensorflow
label_desc: Use image node_id 16 for calling a global function with example usage: custom_standardization(input_data) and returns: ret