code: def test_random_translation_asymmetric_size_numeric_reflect(
      self, data_format
  ):
      input_image = np.arange(0, 16)
      # Shifting by .2 * 5 = 1 pixel.
      expected_output = np.asarray(
          [
              [6, 7],
              [4, 5],
              [2, 3],
              [0, 1],
              [0, 1],
              [2, 3],
              [4, 5],
              [6, 7],
          ]
      )
      if data_format == "channels_last":
          input_image = np.reshape(input_image, (1, 8, 2, 1))
          expected_output = backend.convert_to_tensor(
              np.reshape(expected_output, (1, 8, 2, 1))
          )
      else:
          input_image = np.reshape(input_image, (1, 1, 8, 2))
          expected_output = backend.convert_to_tensor(
              np.reshape(expected_output, (1, 1, 8, 2))
          )
      self.run_layer_test(
          layers.RandomTranslation,
          init_kwargs={
              "height_factor": (0.5, 0.5),
              "width_factor": 0.0,
              "data_format": data_format,
          },
          input_shape=None,
          input_data=input_image,
          expected_output=expected_output,
          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 7 for calling the RandomTranslationTest obj's underlying member method code with example usage: obj.test_random_translation_asymmetric_size_numeric_reflect(data_format) without return types