code: def test_training_false(self):
      input_image = np.reshape(np.arange(0, 25), (1, 5, 5, 1))
      layer = layers.RandomRotation(factor=(0.5, 0.5))
      actual_output = layer(input_image, training=False)
      self.assertAllClose(actual_output, input_image)
  
file_path: keras/keras/layers/preprocessing/random_rotation_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 3 for calling the RandomRotationTest obj's underlying member method code with example usage: obj.test_training_false() without return types