code: def test_list_tuple(self):
      for dtype in ("tensor", "numpy"):
          result = EnsureTyped(
              keys="data",
              data_type=dtype,
              wrap_sequence=False,
              track_meta=True,
          )({"data": [[1, 2], [3, 4]]})["data"]
          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 = EnsureTyped(
              keys="data", data_type=dtype, wrap_sequence=False
          )({"data": (np.array([1, 2]), np.array([3, 4]))})["data"]
          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_typed.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.data import MetaTensor
  from monai.transforms import EnsureTyped
  from tests.utils import assert_allclose
label_desc: Use image node_id 4 for calling the TestEnsureTyped obj's underlying member method code with example usage: obj.test_list_tuple() without return types