code: def test_flip_is_image(self):
      fake_image = torch.torch.rand(3, 256, 256)
      fliped_fake_image = flip(flip(fake_image.clone()))
  
      assert np.allclose(fake_image.numpy(), fliped_fake_image.numpy())
  
file_path: face-alignment/test/test_utils.py
imports: import sys
  import unittest
  from face_alignment.utils import *
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the Tester obj's underlying member method code with example usage: obj.test_flip_is_image() without return types