code: def test_correct_results(self):
      for p in TEST_NDARRAYS_ALL:
          flip = RandAxisFlip(prob=1.0)
          flip.set_random_state(seed=321)
          im = p(self.imt[0])
          call_param = {"img": im}
          result = flip(**call_param)
  
          # test lazy
          test_resampler_lazy(
              flip, result, call_param=call_param, seed=321
          )
          flip.lazy = False
  
          expected = [
              np.flip(channel, flip._axis) for channel in self.imt[0]
          ]
          assert_allclose(
              result, p(np.stack(expected)), type_test="tensor"
          )
          test_local_inversion(flip, result, im)
  
          set_track_meta(False)
          result = flip(im)
          self.assertNotIsInstance(result, MetaTensor)
          self.assertIsInstance(result, torch.Tensor)
          set_track_meta(True)
  
file_path: MONAI/tests/test_rand_axis_flip.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.data import MetaTensor, set_track_meta
  from monai.transforms import RandAxisFlip
  from tests.lazy_transforms_utils import test_resampler_lazy
  from tests.utils import TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, test_local_inversion
label_desc: Use image node_id 1 for calling the TestRandAxisFlip obj's underlying member method code with example usage: obj.test_correct_results() without return types