code: def get_image(dtype, device) -> MetaTensor:
      affine = (
          torch.tensor(
              [[0, 0, 1, 0], [-1, 0, 0, 0], [0, 10, 0, 0], [0, 0, 0, 1]]
          )
          .to(dtype)
          .to(device)
      )
      img = torch.rand((15, 16, 17)).to(dtype).to(device)
      return MetaTensor(img, affine=affine)
  
file_path: MONAI/tests/test_inverse_array.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.data import MetaTensor
  from monai.transforms import Compose, EnsureChannelFirst, Flip, Orientation, Spacing
  from monai.transforms.inverse import InvertibleTransform
  from monai.utils import optional_import
  from tests.utils import TEST_DEVICES
label_desc: Use image node_id 1 for calling the TestInverseArray obj's underlying member method code with example usage: obj.get_image(dtype, device) and returns: MetaTensor