code: def test_basic_missing(self):
      dt = np.float32
      for attr in [
          "epsneg",
          "iexp",
          "machep",
          "maxexp",
          "minexp",
          "negep",
          "nexp",
          "nmant",
          "precision",
          "smallest_subnormal",
      ]:
          getattr(finfo(dt), attr)
  
imports: import functools
  import warnings
  from unittest import skipIf
  import numpy
  from pytest import raises
  from torch.testing._internal.common_utils import run_tests, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 2 for calling the TestFinfo obj's underlying member method code with example usage: obj.test_basic_missing() without return types