code: def test_random_flip(self):
      img = np.random.uniform(size=(3, 24, 24))
  
      out, param = random_flip(
          img, y_random=True, x_random=True, return_param=True
      )
      y_flip = param["y_flip"]
      x_flip = param["x_flip"]
  
      expected = img
      if y_flip:
          expected = expected[:, ::-1, :]
      if x_flip:
          expected = expected[:, :, ::-1]
      np.testing.assert_equal(out, expected)
  
imports: import unittest
  import numpy
  from chainer import testing
  from chainercv.transforms import random_flip
label_desc: Use image node_id 1 for calling the TestRandomFlip obj's underlying member method code with example usage: obj.test_random_flip() without return types