code: def test_sum_dtypes_2(self):
      for dt in (int, np.float16, np.float32, np.float64):
          d = np.ones(500, dtype=dt)
          assert_almost_equal(np.sum(d[::2]), 250.0)
          assert_almost_equal(np.sum(d[1::2]), 250.0)
          assert_almost_equal(np.sum(d[::3]), 167.0)
          assert_almost_equal(np.sum(d[1::3]), 167.0)
          assert_almost_equal(np.sum(np.flip(d)[::2]), 250.0)
  
          assert_almost_equal(np.sum(np.flip(d)[1::2]), 250.0)
  
          assert_almost_equal(np.sum(np.flip(d)[::3]), 167.0)
          assert_almost_equal(np.sum(np.flip(d)[1::3]), 167.0)
  
          # sum with first reduction entry != 0
          d = np.ones((1,), dtype=dt)
          d += d
          assert_almost_equal(d, 2.0)
  
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 5 for calling the TestSum obj's underlying member method code with example usage: obj.test_sum_dtypes_2() without return types