code: def test_random_translation_with_bad_factor(
      self, height_factor, width_factor
  ):
      with self.assertRaises(ValueError):
          self.run_layer_test(
              layers.RandomTranslation,
              init_kwargs={
                  "height_factor": height_factor,
                  "width_factor": width_factor,
              },
              input_shape=(2, 3, 4),
              expected_output_shape=(2, 3, 4),
              supports_masking=False,
              run_training_check=False,
          )
  
file_path: keras/keras/layers/preprocessing/random_translation_test.py
imports: import numpy
  from absl.testing import parameterized
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import testing
label_desc: Use image node_id 2 for calling the RandomTranslationTest obj's underlying member method code with example usage: obj.test_random_translation_with_bad_factor(height_factor, width_factor) without return types