code: def _one_phase_preprocessing_fn(inputs):
      x_plus_one = _plus_one(inputs["x"])
      subtracted = tf.sparse.add(
          tf.cast(inputs["y"], tf.float32), -analyzers.mean(x_plus_one)
      )
      _ = analyzers.vocabulary(inputs["s"])
      return {"subtracted": subtracted}
  
file_path: transform/tensorflow_transform/inspect_preprocessing_fn_test.py
imports: import tensorflow
  from tensorflow_transform import analyzers
  from tensorflow_transform import inspect_preprocessing_fn
  from tensorflow_transform import mappers
  from tensorflow_transform import test_case
label_desc: Use image node_id 6 for calling a global function with example usage: _one_phase_preprocessing_fn(inputs) and returns: dict