code: def test_use_arrow(self):
      # useArrow=True
      row_true = (
          self.spark.range(1)
          .selectExpr(
              "array(1, 2, 3) as array",
          )
          .select(
              udf(lambda x: str(x), useArrow=True)("array"),
          )
          .first()
      )
  
      # useArrow=None
      row_none = (
          self.spark.range(1)
          .selectExpr(
              "array(1, 2, 3) as array",
          )
          .select(
              udf(lambda x: str(x), useArrow=None)("array"),
          )
          .first()
      )
  
      self.assertEqual(row_true[0], row_none[0])  # "[1, 2, 3]"
  
      # useArrow=False
      row_false = (
          self.spark.range(1)
          .selectExpr(
              "array(1, 2, 3) as array",
          )
          .select(
              udf(lambda x: str(x), useArrow=False)("array"),
          )
          .first()
      )
      self.assertEqual(row_false[0], "[1, 2, 3]")
  
imports: import unittest
  from pyspark.errors import PythonException, PySparkNotImplementedError
  from pyspark.sql import Row
  from pyspark.sql.functions import udf
  from pyspark.sql.tests.test_udf import BaseUDFTestsMixin
  from pyspark.sql.types import VarcharType
  from pyspark.testing.sqlutils import have_pandas, have_pyarrow, pandas_requirement_message, pyarrow_requirement_message, ReusedSQLTestCase
  from pyspark.rdd import PythonEvalType
label_desc: Use image node_id 5 for calling the PythonUDFArrowTestsMixin obj's underlying member method code with example usage: obj.test_use_arrow() without return types