code: def test_flip_is_label(self):
      # Generate the points
      heatmaps = torch.from_numpy(
          np.random.randint(1, high=250, size=(68, 64, 64)).astype(
              "float32"
          )
      )
  
      flipped_heatmaps = flip(
          flip(heatmaps.clone(), is_label=True), is_label=True
      )
  
      assert np.allclose(heatmaps.numpy(), flipped_heatmaps.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 1 for calling the Tester obj's underlying member method code with example usage: obj.test_flip_is_label() without return types