code: def test_shape(self, num_workers, dataset_size, transform):
      test_image = nib.Nifti1Image(
          np.random.randint(0, 2, size=[8, 8, 8]).astype(float),
          np.eye(4),
      )
      with tempfile.TemporaryDirectory() as tempdir:
          nib.save(
              test_image, os.path.join(tempdir, "test_image1.nii.gz")
          )
          nib.save(
              test_image, os.path.join(tempdir, "test_label1.nii.gz")
          )
          nib.save(
              test_image, os.path.join(tempdir, "test_extra1.nii.gz")
          )
          test_data = [
              {
                  "image": os.path.join(tempdir, "test_image1.nii.gz"),
                  "label": os.path.join(tempdir, "test_label1.nii.gz"),
                  "extra": os.path.join(tempdir, "test_extra1.nii.gz"),
              }
          ] * dataset_size
          dataset = CacheDataset(
              data=test_data,
              transform=transform,
              cache_rate=1,
              num_workers=num_workers,
          )
  
      self.assertEqual(len(dataset._cache), dataset.cache_num)
      for i in range(dataset.cache_num):
          self.assertIsNotNone(dataset._cache[i])
  
file_path: MONAI/tests/test_cachedataset_parallel.py
imports: from __future__ import annotations
  import os
  import tempfile
  import unittest
  import nibabel
  import numpy
  from parameterized import parameterized
  from monai.data import CacheDataset
  from monai.transforms import Compose, LoadImaged
label_desc: Use image node_id 1 for calling the TestCacheDatasetParallel obj's underlying member method code with example usage: obj.test_shape(num_workers, dataset_size, transform) without return types