code: def preprocessing_fn(inputs):
      """tf.transform's callback function for preprocessing inputs.
  
      Args:
        inputs: map from feature keys to raw not-yet-transformed features.
  
      Returns:
        Map from string feature key to transformed features.
      """
      return {
          "f_transformed": tft.scale_to_z_score(inputs["f"]),
          "seq_s_transformed": tft.compute_and_apply_vocabulary(
              inputs["seq_s"]
          ),
      }
  
label_desc: Use image node_id 1 for calling a global function with example usage: preprocessing_fn(inputs) and returns: dict