code: def test_predictor_classify_bad_content_type(sagemaker_session):
      predictor = TensorFlowPredictor(
          "endpoint", sagemaker_session, CSVSerializer()
      )
  
      with pytest.raises(ValueError):
          predictor.classify(CLASSIFY_INPUT)
  
imports: from __future__ import absolute_import
  import io
  import json
  import logging
  import mock
  import pytest
  from mock import Mock, patch, ANY
  from sagemaker.serializers import CSVSerializer, IdentitySerializer
  from sagemaker.tensorflow import TensorFlow, TensorFlowModel, TensorFlowPredictor
label_desc: Use image node_id 20 for calling a global function with example usage: test_predictor_classify_bad_content_type(sagemaker_session) without return types