code: def test_random_translation(self, height_factor, width_factor):
      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 1 for calling the RandomTranslationTest obj's underlying member method code with example usage: obj.test_random_translation(height_factor, width_factor) without return types