code: def test_groupby_get_item():
      df1 = pd.DataFrame(
          {
              "a": [3, 4, 5, 3, 5, 4, 1, 2, 3],
              "b": [1, 3, 4, 5, 6, 5, 4, 4, 4],
              "c": list("aabaaddce"),
          }
      )
      mdf = md.DataFrame(df1, chunk_size=3)
  
      r = tile(mdf.groupby("b")[["a", "b"]])
      assert isinstance(r, DataFrameGroupBy)
      assert isinstance(r.op, GroupByIndex)
      assert r.selection == ["a", "b"]
      assert list(r.key_dtypes.index) == ["b"]
      assert len(r.chunks) == 3
  
      r = tile(mdf.groupby("b").a)
      assert isinstance(r, SeriesGroupBy)
      assert isinstance(r.op, GroupByIndex)
      assert r.name == "a"
      assert list(r.key_dtypes.index) == ["b"]
      assert len(r.chunks) == 3
  
      with pytest.raises(IndexError):
          getattr(mdf.groupby("b")[["a", "b"]], "a")
  
imports: from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  from ..sort import DataFrameGroupbySortShuffle
  from ....None import dataframe
  from ....None import opcodes
  from ....config import option_context
  from ....core import OutputType, tile
  from ....core.operand import OperandStage
  from ...core import DataFrameGroupBy, SeriesGroupBy, DataFrame
  from ..core import DataFrameGroupByOperand, DataFrameShuffleProxy
  from ..aggregation import DataFrameGroupByAgg
  from ..getitem import GroupByIndex
label_desc: Use image node_id 2 for calling a global function with example usage: test_groupby_get_item() without return types