code: def test_set_data(self):
      data_list1 = list(range(10))
  
      transform = Compose(
          [
              Lambda(func=lambda x: np.array([x * 10])),
              RandLambda(func=lambda x: x + 1),
          ]
      )
  
      dataset = CacheDataset(
          data=data_list1,
          transform=transform,
          cache_rate=1.0,
          num_workers=4,
          progress=True,
          copy_cache=not sys.platform == "linux",
      )
  
      num_workers = 2 if sys.platform == "linux" else 0
      dataloader = DataLoader(
          dataset=dataset, num_workers=num_workers, batch_size=1
      )
      for i, d in enumerate(dataloader):
          np.testing.assert_allclose([[data_list1[i] * 10 + 1]], d)
      # simulate another epoch, the cache content should not be modified
      for i, d in enumerate(dataloader):
          np.testing.assert_allclose([[data_list1[i] * 10 + 1]], d)
  
      # update the datalist and fill the cache content
      data_list2 = list(range(-10, 0))
      dataset.set_data(data=data_list2)
      # rerun with updated cache content
      for i, d in enumerate(dataloader):
          np.testing.assert_allclose([[data_list2[i] * 10 + 1]], d)
  
imports: from __future__ import annotations
  import os
  import sys
  import tempfile
  import unittest
  import nibabel
  import numpy
  from parameterized import parameterized
  from monai.data import CacheDataset, DataLoader, PersistentDataset, SmartCacheDataset
  from monai.transforms import Compose, Lambda, LoadImaged, RandLambda, ThreadUnsafe, Transform
  from monai.utils.module import pytorch_after
label_desc: Use image node_id 2 for calling the TestCacheDataset obj's underlying member method code with example usage: obj.test_set_data() without return types