code: def test_groupby_different_lengths(self):
      pdfs1 = [
          pd.DataFrame(
              {
                  "c": [4, 2, 7, 3, None, 1, 1, 1, 2],
                  "d": list("abcdefght"),
              }
          ),
          pd.DataFrame(
              {"c": [4, 2, 7, None, 1, 1, 2], "d": list("abcdefg")}
          ),
          pd.DataFrame(
              {
                  "c": [4, 2, 7, 3, None, 1, 1, 1, 2, 2],
                  "d": list("abcdefghti"),
              }
          ),
      ]
      pdfs2 = [
          pd.DataFrame(
              {
                  "a": [1, 2, 6, 4, 4, 6, 4, 3, 7],
                  "b": [4, 2, 7, 3, 3, 1, 1, 1, 2],
              }
          ),
          pd.DataFrame(
              {
                  "a": [1, 2, 6, 4, 4, 6, 4, 7],
                  "b": [4, 2, 7, 3, 3, 1, 1, 2],
              }
          ),
          pd.DataFrame(
              {
                  "a": [1, 2, 6, 4, 4, 6, 4, 3, 7],
                  "b": [4, 2, 7, 3, 3, 1, 1, 1, 2],
              }
          ),
      ]
  
      for pdf1, pdf2 in zip(pdfs1, pdfs2):
          psdf1 = ps.from_pandas(pdf1)
          psdf2 = ps.from_pandas(pdf2)
  
          for as_index in [True, False]:
              if as_index:
  
                  def sort(df):
                      return df.sort_index()
  
              else:
  
                  def sort(df):
                      return df.sort_values("c").reset_index(drop=True)
  
              self.assert_eq(
                  sort(psdf1.groupby(psdf2.a, as_index=as_index).sum()),
                  sort(pdf1.groupby(pdf2.a, as_index=as_index).sum()),
                  almost=as_index,
              )
  
              self.assert_eq(
                  sort(
                      psdf1.groupby(psdf2.a, as_index=as_index).c.sum()
                  ),
                  sort(pdf1.groupby(pdf2.a, as_index=as_index).c.sum()),
                  almost=as_index,
              )
              self.assert_eq(
                  sort(
                      psdf1.groupby(psdf2.a, as_index=as_index)[
                          "c"
                      ].sum()
                  ),
                  sort(
                      pdf1.groupby(pdf2.a, as_index=as_index)["c"].sum()
                  ),
                  almost=as_index,
              )
  
file_path: spark/python/pyspark/pandas/tests/diff_frames_ops/test_groupby_diff_len.py
imports: import pandas
  from pyspark import pandas
  from pyspark.pandas.config import set_option, reset_option
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 3 for calling the GroupByDiffLenMixin obj's underlying member method code with example usage: obj.test_groupby_different_lengths() and returns: df, df