code: def test_basic(self):
      dts = list(
          zip(
              ["f2", "f4", "f8", "c8", "c16"],
              [
                  np.float16,
                  np.float32,
                  np.float64,
                  np.complex64,
                  np.complex128,
              ],
          )
      )
      for dt1, dt2 in dts:
          for attr in (
              "bits",
              "eps",
              "max",
              "min",
              "resolution",
              "tiny",
              "smallest_normal",
          ):
              assert_equal(
                  getattr(finfo(dt1), attr),
                  getattr(finfo(dt2), attr),
                  attr,
              )
      with assert_raises((TypeError, ValueError)):
          finfo("i4")
  
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 1 for calling the TestFinfo obj's underlying member method code with example usage: obj.test_basic() without return types