code: def pileup_normalizer(
      features: Dict[str, tf.Tensor],
      labels: tf.Tensor,
  ) -> Tuple[Dict[str, tf.Tensor], tf.Tensor]:
      """Normalization."""
      features["pileup"] = features["pileup"] / 255
      return features, labels
  
file_path: scenic/scenic/projects/svvit/datasets/pileup_window_dataset.py
imports: import functools
  from typing import Optional, Dict, Tuple
  from absl import logging
  from flax import jax_utils
  import jax
  import jax.numpy
  import numpy
  from scenic.dataset_lib import dataset_utils
  from scenic.dataset_lib import datasets
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: pileup_normalizer(features, labels) and returns: features,  labels