code: def test_pandas_udf_timestamp_ntz(self):
      # SPARK-36626: Test TimestampNTZ in pandas UDF
      @pandas_udf(returnType="timestamp_ntz")
      def noop(s):
          assert s.iloc[0] == datetime.datetime(1970, 1, 1, 0, 0)
          return s
  
      with self.sql_conf(
          {"spark.sql.session.timeZone": "Asia/Hong_Kong"}
      ):
          df = self.spark.createDataFrame(
              [(datetime.datetime(1970, 1, 1, 0, 0),)],
              schema="dt timestamp_ntz",
          ).select(noop("dt").alias("dt"))
  
          df.selectExpr(
              "assert_true('1970-01-01 00:00:00' == CAST(dt AS STRING))"
          ).collect()
          self.assertEqual(
              df.schema[0].dataType.typeName(), "timestamp_ntz"
          )
          self.assertEqual(
              df.first()[0], datetime.datetime(1970, 1, 1, 0, 0)
          )
  
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 12 for calling the PandasUDFTestsMixin obj's underlying member method code with example usage: obj.test_pandas_udf_timestamp_ntz() and returns: s