code: def test_sum_stability(self):
      a = np.ones(500, dtype=np.float32)
      zero = np.zeros(1, dtype="float32")[0]
      assert_allclose(
          (a / 10.0).sum() - a.size / 10.0, zero, atol=1.5e-4
      )
  
      a = np.ones(500, dtype=np.float64)
      assert_allclose(
          (a / 10.0).sum() - a.size / 10.0, 0.0, atol=1.5e-13
      )
  
imports: from unittest import skipIf, SkipTest
  import numpy
  import pytest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 2 for calling the TestSum obj's underlying member method code with example usage: obj.test_sum_stability() without return types