code: def test_groupby_unique_lists():
      df = pd.DataFrame(
          {"a": [0, 0, 0, 1, 1, 1], "b": [10, 10, 10, 7, 8, 9]}
      )
      ddf = dd.from_pandas(df, 2)
      gdf = cudf.from_pandas(df)
      gddf = dask_cudf.from_cudf(gdf, 2)
      dd.assert_eq(
          ddf.groupby("a").b.unique().compute(),
          gddf.groupby("a").b.unique().compute(),
      )
      dd.assert_eq(
          gdf.groupby("a").b.unique(),
          gddf.groupby("a").b.unique().compute(),
      )
  
imports: import numpy
  import pandas
  import pytest
  import dask
  from dask import dataframe
  from dask.utils_test import hlg_layer
  import cudf
  import dask_cudf
  from dask_cudf.groupby import OPTIMIZED_AGGS, _aggs_optimized
label_desc: Use image node_id 25 for calling a global function with example usage: test_groupby_unique_lists() without return types