code: def test_random_flip(self, mode):
      run_training_check = (
          False if backend.backend() == "numpy" else True
      )
      self.run_layer_test(
          layers.RandomFlip,
          init_kwargs={
              "mode": mode,
          },
          input_shape=(2, 3, 4),
          expected_output_shape=(2, 3, 4),
          supports_masking=False,
          run_training_check=run_training_check,
      )
  
file_path: keras/keras/layers/preprocessing/random_flip_test.py
imports: import unittest.mock
  import numpy
  from absl.testing import parameterized
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import testing
  from keras import utils
label_desc: Use image node_id 1 for calling the RandomFlipTest obj's underlying member method code with example usage: obj.test_random_flip(mode) without return types