code: def test_sum_complex_2(self, dt):
      d = np.ones(500, dtype=dt) + 1j
      assert_allclose(np.sum(d[::2]), 250.0 + 250j, atol=1.5e-7)
      assert_allclose(np.sum(d[1::2]), 250.0 + 250j, atol=1.5e-7)
      assert_allclose(np.sum(d[::3]), 167.0 + 167j, atol=1.5e-7)
      assert_allclose(np.sum(d[1::3]), 167.0 + 167j, atol=1.5e-7)
      assert_allclose(
          np.sum(np.flip(d)[::2]), 250.0 + 250j, atol=1.5e-7
      )
      assert_allclose(
          np.sum(np.flip(d)[1::2]), 250.0 + 250j, atol=1.5e-7
      )
      assert_allclose(
          np.sum(np.flip(d)[::3]), 167.0 + 167j, atol=1.5e-7
      )
      assert_allclose(
          np.sum(np.flip(d)[1::3]), 167.0 + 167j, atol=1.5e-7
      )
      # sum with first reduction entry != 0
      d = np.ones((1,), dtype=dt) + 1j
      d += d
      assert_allclose(d, 2.0 + 2j, atol=1.5e-7)
  
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 7 for calling the TestSum obj's underlying member method code with example usage: obj.test_sum_complex_2(dt) without return types