code: def test_accepts_npfloating(self):
      # regression test for #16466
      grid64 = mgrid[0.1:0.33:0.1,]
      grid32 = mgrid[
          np.float32(0.1) : np.float32(0.33) : np.float32(0.1),
      ]
      assert_(grid32.dtype == np.float64)
      assert_array_almost_equal(grid64, grid32)
  
      # different code path for single slice
      grid64 = mgrid[0.1:0.33:0.1]
      grid32 = mgrid[
          np.float32(0.1) : np.float32(0.33) : np.float32(0.1)
      ]
      assert_(grid32.dtype == np.float64)
      assert_array_almost_equal(grid64, grid32)
  
imports: import functools
  from unittest import expectedFailure, skipIf
  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 6 for calling the TestGrid obj's underlying member method code with example usage: obj.test_accepts_npfloating() without return types