code: def _preprocessing_fn_with_one_analyzer(inputs):
      @tf.function
      def _plus_one(x):
          return x + 1
  
      x = _plus_one(inputs["x"])
      x_mean = tft.mean(x, name="x")
      x_centered = x - x_mean
      return {"x_centered": x_centered}
  
imports: import os
  import tensorflow
  import tensorflow_transform
  from tensorflow_transform import analyzer_nodes
  from tensorflow_transform import impl_helper
  from tensorflow_transform import nodes
  from tensorflow_transform import tf2_utils
  from tensorflow_transform.beam import analysis_graph_builder
  from tensorflow_transform.beam import analyzer_cache
  from tensorflow_transform.beam import tft_unit
  from tfx_bsl.types import tfx_namedtuple
label_desc: Use image node_id 2 for calling a global function with example usage: _preprocessing_fn_with_one_analyzer(inputs) and returns: dict, unknown