code: def test_groupby_mean_sort_false():
      df = cudf.datasets.randomdata(
          nrows=150, dtypes={"a": int, "b": int}
      )
      ddf = dask_cudf.from_cudf(df, 1)
      pddf = dd.from_pandas(df.to_pandas(), 1)
  
      gr = ddf.groupby(["a"]).agg({"b": "mean"})
      pr = pddf.groupby(["a"]).agg({"b": "mean"})
      assert pr.index.name == gr.index.name
      assert pr.head(0).index.name == gr.head(0).index.name
  
      gf = gr.compute().sort_values(by=["b"]).reset_index(drop=True)
      pf = pr.compute().sort_values(by=["b"]).reset_index(drop=True)
      dd.assert_eq(gf, pf)
  
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 17 for calling a global function with example usage: test_groupby_mean_sort_false() without return types