code: def test_different_keys(self):
      left = self.data1
      right = self.data2
  
      def merge_pandas(lft, rgt):
          return pd.merge(
              lft.rename(columns={"id2": "id"}), rgt, on=["id", "k"]
          )
  
      result = (
          left.withColumnRenamed("id", "id2")
          .groupby("id2")
          .cogroup(right.groupby("id"))
          .applyInPandas(merge_pandas, "id long, k int, v int, v2 int")
          .sort(["id", "k"])
          .toPandas()
      )
  
      left = left.toPandas()
      right = right.toPandas()
  
      expected = pd.merge(left, right, on=["id", "k"]).sort_values(
          by=["id", "k"]
      )
  
      assert_frame_equal(expected, result)
  
imports: import unittest
  from typing import cast
  from pyspark.sql.functions import array, explode, col, lit, udf, pandas_udf, sum
  from pyspark.sql.types import ArrayType, DoubleType, LongType, StructType, StructField, YearMonthIntervalType, Row
  from pyspark.sql.window import Window
  from pyspark.errors import IllegalArgumentException, PythonException
  from pyspark.testing.sqlutils import ReusedSQLTestCase, have_pandas, have_pyarrow, pandas_requirement_message, pyarrow_requirement_message
  from pyspark.testing.utils import QuietTest
label_desc: Use image node_id 7 for calling the CogroupedApplyInPandasTestsMixin obj's underlying member method code with example usage: obj.test_different_keys() and returns: pd