code: def test_numpy_unresizable(self, device) -> None:
      x = np.zeros((2, 2))
      y = torch.from_numpy(x)
      with self.assertRaises(ValueError):
          x.resize((5, 5))
  
      z = torch.randn(5, 5)
      w = z.numpy()
      with self.assertRaises(RuntimeError):
          z.resize_(10, 10)
      with self.assertRaises(ValueError):
          w.resize((10, 10))
  
imports: import torch
  import numpy
  from itertools import product
  from torch.testing._internal.common_utils import skipIfTorchDynamo, TestCase, run_tests
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, dtypes, skipMeta
  from torch.testing._internal.common_dtype import all_types_and_complex_and
label_desc: Use image node_id 2 for calling the TestNumPyInterop obj's underlying member method code with example usage: obj.test_numpy_unresizable(device) without return types