code: def test_iter_1d(self):
      # numpy generates array scalars, we do 0D arrays
      a = np.arange(5)
      lst = list(a)
      assert all(
          type(x) == np.ndarray for x in lst
      ), f"{[type(x) for x in lst]}"
      assert all(x.ndim == 0 for x in lst)
  
imports: import itertools
  from unittest import expectedFailure, skipIf
  import numpy
  import pytest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, skipIfTorchDynamo, subtest, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 1 for calling the TestIter obj's underlying member method code with example usage: obj.test_iter_1d() without return types