code: def default_data_normalizer():
      return [
          {
              "name": "DataRangeNormalizer",
              "modes": ["prediction", "training", "evaluation"],
              "args": {},
          },
          {
              "name": "CenterNormalizer",
              "modes": ["prediction", "training", "evaluation"],
              "args": {"extra_params": [4, 1.0, 0.3]},
          },
          {
              "name": "FinalPreparation",
              "modes": ["prediction", "training", "evaluation"],
              "args": {
                  "normalize": True,
                  "invert": True,
                  "transpose": True,
                  "pad": 16,
                  "pad_value": False,
                  "as_uint8": True,
              },
          },
          {
              "name": "AugmentationProcessor",
              "modes": ["training"],
              "args": {"augmenter_type": "simple"},
          },
      ]
  
imports: import inspect
  import os
  from typing import Optional
  import logging
  import h5py
  from tensorflow import keras
  from tensorflow.python.keras.saving.hdf5_format import load_weights_from_hdf5_group
  from tfaip.util.tfaipargparse import post_init
  from calamari_ocr.ocr.savedmodel.migrations.version3_4to5 import migrate3to5
  from calamari_ocr.ocr.scenario import CalamariScenario
  from calamari_ocr.ocr.training.params import TrainerParams
label_desc: Use image node_id 10 for calling a global function with example usage: default_data_normalizer() and returns: list