code: def call(self, inputs, training=True):
      unbatched = len(inputs.shape) == 3
      batch_size = 1 if unbatched else self.backend.shape(inputs)[0]
      mocked_value = self.backend.numpy.full(
          (batch_size, 1, 1, 1), 0.1, dtype="float32"
      )
      with unittest.mock.patch.object(
          self.backend.random,
          "uniform",
          return_value=mocked_value,
      ):
          out = super().call(inputs, training=training)
      return out
  
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 MockedRandomFlip obj's underlying member method code with example usage: obj.call(inputs, training) and returns: out