code: def test_hash_object_dispatch(index):
      obj = cudf.DataFrame(
          {"x": ["a", "b", "c"], "y": [1, 2, 3], "z": [1, 1, 0]},
          index=[2, 4, 6],
      )
  
      # DataFrame
      result = dd.core.hash_object_dispatch(obj, index=index)
      expected = dgd.backends.hash_object_cudf(obj, index=index)
      assert isinstance(result, cudf.Series)
      dd.assert_eq(result, expected)
  
      # Series
      result = dd.core.hash_object_dispatch(obj["x"], index=index)
      expected = dgd.backends.hash_object_cudf(obj["x"], index=index)
      assert isinstance(result, cudf.Series)
      dd.assert_eq(result, expected)
  
      # DataFrame with MultiIndex
      obj_multi = obj.set_index(["x", "z"], drop=True)
      result = dd.core.hash_object_dispatch(obj_multi, index=index)
      expected = dgd.backends.hash_object_cudf(obj_multi, index=index)
      assert isinstance(result, cudf.Series)
      dd.assert_eq(result, expected)
  
imports: import random
  import cupy
  import numpy
  import pandas
  import pytest
  from packaging import version
  import dask
  from dask import dataframe
  from dask.dataframe.core import make_meta, meta_nonempty
  from dask.utils import M
  import cudf
  import dask_cudf
label_desc: Use image node_id 38 for calling a global function with example usage: test_hash_object_dispatch(index) without return types