code: def test_groupby_transform(setup):
      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"),
              "d": [3, 4, 5, 3, 5, 4, 1, 2, 3],
              "e": [1, 3, 4, 5, 6, 5, 4, 4, 4],
              "f": list("aabaaddce"),
          }
      )
  
      def transform_series(s, truncate=True):
          s = s.sort_index()
          if truncate and len(s.index) > 1:
              s = s.iloc[:-1].reset_index(drop=True)
          return s
  
      mdf = md.DataFrame(df1, chunk_size=3)
  
      r = mdf.groupby("b").transform(transform_series, truncate=False)
      pd.testing.assert_frame_equal(
          r.execute().fetch().sort_index(),
          df1.groupby("b")
          .transform(transform_series, truncate=False)
          .sort_index(),
      )
  
      df2 = pd.DataFrame(
          {
              "a": [3, 4, 5, 3, 5, 4, 1, 2, 3],
              "b": [1, 3, 4, 5, 6, 5, 4, 4, 4],
              "c": list("aabaabbba"),
          }
      )
  
      def f(df):
          if df.iloc[2]:
              return df
          else:
              return df + df.max()
  
      mdf2 = md.DataFrame(df2, chunk_size=5)
      with pytest.raises(TypeError):
          mdf2.groupby("c").transform(f)
  
      r = mdf2.groupby("c").transform(f, skip_infer=True)
      pd.testing.assert_frame_equal(
          r.execute().fetch().sort_index(),
          df2.groupby("c").transform(f).sort_index(),
      )
  
      if pd.__version__ != "1.1.0":
          r = mdf.groupby("b").transform(
              ["cummax", "cumsum"], _call_agg=True
          )
          pd.testing.assert_frame_equal(
              r.execute().fetch().sort_index(),
              df1.groupby("b").agg(["cummax", "cumsum"]).sort_index(),
          )
  
          agg_list = ["cummax", "cumsum"]
          r = mdf.groupby("b").transform(agg_list, _call_agg=True)
          pd.testing.assert_frame_equal(
              r.execute().fetch().sort_index(),
              df1.groupby("b").agg(agg_list).sort_index(),
          )
  
          agg_dict = OrderedDict([("d", "cummax"), ("b", "cumsum")])
          r = mdf.groupby("b").transform(agg_dict, _call_agg=True)
          pd.testing.assert_frame_equal(
              r.execute().fetch().sort_index(),
              df1.groupby("b").agg(agg_dict).sort_index(),
          )
  
      agg_list = ["sum", lambda s: s.sum()]
      r = mdf.groupby("b").transform(agg_list, _call_agg=True)
      pd.testing.assert_frame_equal(
          r.execute().fetch().sort_index(),
          df1.groupby("b").agg(agg_list).sort_index(),
      )
  
      series1 = pd.Series([3, 4, 5, 3, 5, 4, 1, 2, 3])
      ms1 = md.Series(series1, chunk_size=3)
  
      r = ms1.groupby(lambda x: x % 3).transform(lambda x: x + 1)
      pd.testing.assert_series_equal(
          r.execute().fetch().sort_index(),
          series1.groupby(lambda x: x % 3)
          .transform(lambda x: x + 1)
          .sort_index(),
      )
  
      r = ms1.groupby(lambda x: x % 3).transform(
          "cummax", _call_agg=True
      )
      pd.testing.assert_series_equal(
          r.execute().fetch().sort_index(),
          series1.groupby(lambda x: x % 3).agg("cummax").sort_index(),
      )
  
      agg_list = ["cummax", "cumcount"]
      r = ms1.groupby(lambda x: x % 3).transform(
          agg_list, _call_agg=True
      )
      pd.testing.assert_frame_equal(
          r.execute().fetch().sort_index(),
          series1.groupby(lambda x: x % 3).agg(agg_list).sort_index(),
      )
  
imports: from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  from ....None import dataframe
  from ....config import option_context
  from ....core.operand import OperandStage
  from ....tests.core import assert_groupby_equal, require_cudf
  from ....utils import arrow_array_to_objects, pd_release_version
  from ...core import DATAFRAME_OR_SERIES_TYPE
  from ..aggregation import DataFrameGroupByAgg
label_desc: Use image node_id 13 for calling a global function with example usage: test_groupby_transform(setup) and returns: s, df, unknown