code: def get_padding_value(dtype):
      """Helper function for determing datatype-appropriate padding values."""
      if dtype in (tf.int32, tf.int64):
          return PADDING_VALUE
      elif dtype == tf.string:
          return PADDING_VALUE_STR
      return None
  
file_path: scenic/scenic/projects/owl_vit/preprocessing/transforms.py
imports: from typing import Any, Optional, Sequence, Tuple, Union
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_padding_value(dtype) and returns: None, PADDING_VALUE, PADDING_VALUE_STR