code: def test_groupby_MI(nrows, ncols):
      gdf = cudf.DataFrame(
          {"a": np.arange(10), "b": np.arange(10), "c": np.arange(10)}
      )
      pdf = gdf.to_pandas()
      gdg = gdf.groupby(["a", "b"], sort=True).count()
      pdg = pdf.groupby(["a", "b"], sort=True).count()
      pd.options.display.max_rows = nrows
      pd.options.display.max_columns = ncols
      assert repr(gdg) == repr(pdg)
      assert repr(gdg.index) == repr(pdg.index)
      assert repr(gdg.T) == repr(pdg.T)
      pd.reset_option("display.max_rows")
      pd.reset_option("display.max_columns")
  
imports: import textwrap
  import cupy
  import numpy
  import pandas
  import pytest
  from hypothesis import given, settings, strategies
  import cudf
  from cudf.testing import _utils
  from cudf.utils.dtypes import np_dtypes_to_pandas_dtypes
label_desc: Use image node_id 14 for calling a global function with example usage: test_groupby_MI(nrows, ncols) without return types