code: def test_meta_dict(self):
      xform = Flipd("image", [0, 1])
      res = xform({"image": torch.zeros(1, 3, 4)})
      self.assertTrue(
          res["image"].applied_operations == res["image_transforms"]
      )
  
file_path: MONAI/tests/test_flipd.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai import config
  from monai.data.meta_obj import set_track_meta
  from monai.data.meta_tensor import MetaTensor
  from monai.transforms import Flipd
  from tests.lazy_transforms_utils import test_resampler_lazy
  from tests.utils import TEST_DEVICES, TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, test_local_inversion
label_desc: Use image node_id 4 for calling the TestFlipd obj's underlying member method code with example usage: obj.test_meta_dict() without return types