code: def test_single_input(self):
      test_datas = [5, 5.0, False, np.asarray(5), torch.tensor(5)]
      if torch.cuda.is_available():
          test_datas.append(test_datas[-1].cuda())
      for test_data in test_datas:
          for dtype in ("tensor", "numpy"):
              result = EnsureTyped(keys="data", data_type=dtype)(
                  {"data": test_data}
              )["data"]
              self.assertTrue(
                  isinstance(
                      result,
                      torch.Tensor if dtype == "tensor" else np.ndarray,
                  )
              )
              if isinstance(test_data, bool):
                  self.assertFalse(result)
              else:
                  assert_allclose(result, test_data, type_test=False)
              self.assertEqual(result.ndim, 0)
  
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 2 for calling the TestEnsureTyped obj's underlying member method code with example usage: obj.test_single_input() without return types