code: def test_list_tuple(self):
      for dtype in ("tensor", "numpy"):
          result = EnsureType(
              data_type=dtype, wrap_sequence=False, track_meta=True
          )([[1, 2], [3, 4]])
          self.assertTrue(isinstance(result, list))
          self.assertTrue(
              isinstance(
                  result[0][1],
                  MetaTensor if dtype == "tensor" else np.ndarray,
              )
          )
          assert_allclose(
              result[1][0], torch.as_tensor(3), type_test=False
          )
          # tuple of numpy arrays
          result = EnsureType(data_type=dtype, wrap_sequence=False)(
              (np.array([1, 2]), np.array([3, 4]))
          )
          self.assertTrue(isinstance(result, tuple))
          self.assertTrue(
              isinstance(
                  result[0],
                  torch.Tensor if dtype == "tensor" else np.ndarray,
              )
          )
          assert_allclose(
              result[1], torch.as_tensor([3, 4]), type_test=False
          )
  
file_path: MONAI/tests/test_ensure_type.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.data import MetaTensor
  from monai.transforms import EnsureType
  from tests.utils import assert_allclose
label_desc: Use image node_id 4 for calling the TestEnsureType obj's underlying member method code with example usage: obj.test_list_tuple() without return types