code: def test_dtypes(self):
      # Test with different data types
      for dtype in [
          np.int16,
          np.uint16,
          np.int32,
          np.uint32,
          np.int64,
          np.uint64,
      ]:
          coords = np.array(
              [[1, 0, 1, 2, 3, 4], [1, 6, 1, 3, 2, 0]], dtype=dtype
          )
          shape = (5, 8)
          uncoords = 8 * coords[0] + coords[1]
          assert_equal(np.ravel_multi_index(coords, shape), uncoords)
          assert_equal(coords, np.unravel_index(uncoords, shape))
          uncoords = coords[0] + 5 * coords[1]
          assert_equal(
              np.ravel_multi_index(coords, shape, order="F"), uncoords
          )
          assert_equal(
              coords, np.unravel_index(uncoords, shape, order="F")
          )
  
          coords = np.array(
              [
                  [1, 0, 1, 2, 3, 4],
                  [1, 6, 1, 3, 2, 0],
                  [1, 3, 1, 0, 9, 5],
              ],
              dtype=dtype,
          )
          shape = (5, 8, 10)
          uncoords = 10 * (8 * coords[0] + coords[1]) + coords[2]
          assert_equal(np.ravel_multi_index(coords, shape), uncoords)
          assert_equal(coords, np.unravel_index(uncoords, shape))
          uncoords = coords[0] + 5 * (coords[1] + 8 * coords[2])
          assert_equal(
              np.ravel_multi_index(coords, shape, order="F"), uncoords
          )
          assert_equal(
              coords, np.unravel_index(uncoords, shape, order="F")
          )
  
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 4 for calling the TestRavelUnravelIndex obj's underlying member method code with example usage: obj.test_dtypes() without return types