code: def test_groupby_non_arithmetic_agg_types(dtype, method, data):
      # GH9311, GH6620
      df = DataFrame(
          [
              {"a": 1, "b": 1},
              {"a": 1, "b": 2},
              {"a": 2, "b": 3},
              {"a": 2, "b": 4},
          ]
      )
  
      df["b"] = df.b.astype(dtype)
  
      if "args" not in data:
          data["args"] = []
  
      if "out_type" in data:
          out_type = data["out_type"]
      else:
          out_type = dtype
  
      exp = data["df"]
      df_out = DataFrame(exp)
  
      df_out["b"] = df_out.b.astype(out_type)
      df_out.set_index("a", inplace=True)
  
      grpd = df.groupby("a")
      t = getattr(grpd, method)(*data["args"])
      tm.assert_frame_equal(t, df_out)
  
imports: import builtins
  import datetime
  from string import ascii_lowercase
  import numpy
  import pytest
  from pandas._libs.tslibs import iNaT
  import pandas
  from pandas import DataFrame, MultiIndex, Series, Timestamp, date_range, isna
  import pandas._testing
  from pandas.util import _test_decorators
label_desc: Use image node_id 45 for calling a global function with example usage: test_groupby_non_arithmetic_agg_types(dtype, method, data) without return types