code: def test_repr():
      predictor = TensorflowPredictor(model=build_model())
  
      representation = repr(predictor)
  
      assert len(representation) < MAX_REPR_LENGTH
      pattern = re.compile("^TensorflowPredictor\\((.*)\\)$")
      assert pattern.match(representation)
  
imports: import re
  from typing import Tuple
  import numpy
  import pandas
  import pytest
  import tensorflow
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import _convert_batch_type_to_pandas, _convert_pandas_to_batch_type
  from ray.data.preprocessor import Preprocessor
  from ray.train.predictor import TYPE_TO_ENUM
  from ray.train.tensorflow import TensorflowCheckpoint, TensorflowPredictor
  from ray.train.tests.dummy_preprocessor import DummyPreprocessor
label_desc: Use image node_id 6 for calling a global function with example usage: test_repr() without return types