code: def test_invalid_pandas_udf(self):
      @udf(result_type=DataTypes.INT(), func_type="pandas")
      def length_mismatch(i):
          return i[1:]
  
      @udf(result_type=DataTypes.INT(), func_type="pandas")
      def result_type_not_series(i):
          return i.iloc[0]
  
      t = self.t_env.from_elements(
          [(1, 2, 3), (2, 5, 6), (3, 1, 9)], ["a", "b", "c"]
      )
  
      msg = (
          "The result length '0' of Pandas UDF 'length_mismatch' is not equal "
          "to the input length '1'"
      )
      from py4j.protocol import Py4JJavaError
  
      with self.assertRaisesRegex(Py4JJavaError, expected_regex=msg):
          t.select(length_mismatch(t.a)).to_pandas()
  
      msg = (
          "The result type of Pandas UDF 'result_type_not_series' must be pandas.Series or "
          "pandas.DataFrame, got <class 'numpy.int64'>"
      )
      from py4j.protocol import Py4JJavaError
  
      with self.assertRaisesRegex(Py4JJavaError, expected_regex=msg):
          t.select(result_type_not_series(t.a)).to_pandas()
  
imports: import datetime
  import decimal
  import pytz
  from pyflink.common import Row
  from pyflink.table import DataTypes
  from pyflink.table.tests.test_udf import SubtractOne
  from pyflink.table.udf import udf
  from pyflink.testing import source_sink_utils
  from pyflink.testing.test_case_utils import PyFlinkBatchTableTestCase, PyFlinkStreamTableTestCase, PyFlinkTestCase
label_desc: Use image node_id 3 for calling the PandasUDFITTests obj's underlying member method code with example usage: obj.test_invalid_pandas_udf() and returns: i, i