code: def testBadSampleTransformation(self):
      # If we don't flatten the transformations, we don't expect an error
      targets.VectorModel(TestBadSampleTransformationModel())
      with self.assertRaisesRegex(
          TypeError,
          "Sample transformation 'bad' must have only one Tensor dtype",
      ):
          targets.VectorModel(
              TestBadSampleTransformationModel(),
              flatten_sample_transformations=True,
          )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import tensorflow_probability
  from tensorflow_probability.python.internal import test_util
  from inference_gym import targets
  from inference_gym.internal import test_util
label_desc: Use image node_id 4 for calling the VectorModelTest obj's underlying member method code with example usage: obj.testBadSampleTransformation() without return types