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 pytest
  import numpy
  from numpy.testing import assert_, assert_equal, assert_array_equal, assert_almost_equal, assert_array_almost_equal, assert_raises, assert_raises_regex
  from numpy.lib._index_tricks_impl import mgrid, ogrid, ndenumerate, fill_diagonal, diag_indices, diag_indices_from, index_exp, ndindex, c_, r_, s_, ix_
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