code: def test_udf_wrong_arg(self):
      with QuietTest(self.sc):
          self.check_udf_wrong_arg()
  
          with self.assertRaises(ParseException):
  
              @pandas_udf("blah")
              def foo(x):
                  return x
  
          with self.assertRaises(PySparkTypeError) as pe:
  
              @pandas_udf(
                  returnType="double",
                  functionType=PandasUDFType.GROUPED_MAP,
              )
              def foo(df):
                  return df
  
          self.check_error(
              exception=pe.exception,
              error_class="INVALID_RETURN_TYPE_FOR_PANDAS_UDF",
              message_parameters={
                  "eval_type": "SQL_GROUPED_MAP_PANDAS_UDF "
                  "or SQL_GROUPED_MAP_PANDAS_UDF_WITH_STATE",
                  "return_type": "DoubleType()",
              },
          )
  
          with self.assertRaisesRegex(ValueError, "Invalid function"):
  
              @pandas_udf(
                  returnType="k int, v double",
                  functionType=PandasUDFType.GROUPED_MAP,
              )
              def foo(k, v, w):
                  return k
  
imports: import unittest
  import datetime
  from typing import cast
  from pyspark.sql.functions import udf, pandas_udf, PandasUDFType, assert_true, lit
  from pyspark.sql.types import DoubleType, StructType, StructField, LongType, DayTimeIntervalType
  from pyspark.errors import ParseException, PythonException, PySparkTypeError
  from pyspark.rdd import PythonEvalType
  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 5 for calling the PandasUDFTestsMixin obj's underlying member method code with example usage: obj.test_udf_wrong_arg() and returns: x, df, k