code: def bench_groupby_agg(
      benchmark, dataframe, agg, num_key_cols, as_index, sort
  ):
      by = list(dataframe.columns[:num_key_cols])
      benchmark(
          dataframe.groupby(by=by, as_index=as_index, sort=sort).agg,
          agg,
      )
  
imports: import string
  import numpy
  import pytest
  import pytest_cases
  from config import cudf, cupy
  from utils import benchmark_with_object
label_desc: Use image node_id 12 for calling a global function with example usage: bench_groupby_agg(benchmark, dataframe, agg, num_key_cols, as_index, sort) without return types