code: def test_keep_size(self):
      key = "img"
      random_zoom = RandZoomd(
          keys=key,
          prob=1.0,
          min_zoom=0.6,
          max_zoom=0.7,
          keep_size=True,
          padding_mode="constant",
          constant_values=2,
      )
      for p in TEST_NDARRAYS_ALL:
          im = p(self.imt[0])
          zoomed = random_zoom({key: im})
          test_local_inversion(random_zoom, zoomed, {key: im}, key)
          np.testing.assert_array_equal(
              zoomed[key].shape, self.imt.shape[1:]
          )
      random_zoom.prob = 0.0
      self.assertEqual(
          random_zoom({key: p(self.imt[0])})[key].dtype, torch.float32
      )
  
file_path: MONAI/tests/test_rand_zoomd.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from scipy.ndimage import zoom
  from monai.config import USE_COMPILED
  from monai.transforms import RandZoomd
  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 2 for calling the TestRandZoomd obj's underlying member method code with example usage: obj.test_keep_size() without return types