code: def test_pandas_udf_day_time_interval_type(self):
      # SPARK-37277: Test DayTimeIntervalType in pandas UDF
      import pandas as pd
  
      @pandas_udf(
          DayTimeIntervalType(
              DayTimeIntervalType.DAY, DayTimeIntervalType.SECOND
          )
      )
      def noop(s: pd.Series) -> pd.Series:
          assert s.iloc[0] == datetime.timedelta(microseconds=123)
          return s
  
      df = self.spark.createDataFrame(
          [(datetime.timedelta(microseconds=123),)],
          schema="td interval day to second",
      ).select(noop("td").alias("td"))
  
      df.select(
          assert_true(
              lit("INTERVAL '0 00:00:00.000123' DAY TO SECOND")
              == df.td.cast("string")
          )
      ).collect()
      self.assertEqual(
          df.schema[0].dataType.simpleString(), "interval day to second"
      )
      self.assertEqual(
          df.first()[0], datetime.timedelta(microseconds=123)
      )
  
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 13 for calling the PandasUDFTestsMixin obj's underlying member method code with example usage: obj.test_pandas_udf_day_time_interval_type() and returns: s