code: def test_apply_in_arrow_returning_wrong_column_names(self):
      def stats(key, left, right):
          # returning three columns
          return pa.Table.from_pydict(
              {
                  "id": [key[0].as_py()],
                  "v": [pc.mean(left.column("v")).as_py()],
                  "v2": [pc.stddev(right.column("v")).as_py()],
              }
          )
  
      with self.quiet_test():
          with self.assertRaisesRegex(
              PythonException,
              "Column names of the returned pyarrow.Table do not match specified schema. "
              "Missing: m. Unexpected: v, v2.\n",
          ):
              # stats returns three columns while here we set schema with two columns
              self.cogrouped.applyInArrow(
                  stats, schema="id long, m double"
              ).collect()
  
imports: import os
  import time
  import unittest
  from pyspark.errors import PythonException
  from pyspark.sql import Row
  from pyspark.sql.functions import col
  from pyspark.testing.sqlutils import ReusedSQLTestCase, have_pyarrow, pyarrow_requirement_message
  from pyspark.testing.utils import QuietTest
label_desc: Use image node_id 13 for calling the CogroupedMapInArrowTestsMixin obj's underlying member method code with example usage: obj.test_apply_in_arrow_returning_wrong_column_names() and returns: pa