code: def test_as_spark_type_extension_object_dtypes(self):
      from pandas import BooleanDtype, StringDtype
  
      type_mapper = {
          BooleanDtype(): BooleanType(),
          StringDtype(): StringType(),
      }
  
      for extension_dtype, spark_type in type_mapper.items():
          self.assertEqual(as_spark_type(extension_dtype), spark_type)
          self.assertEqual(
              pandas_on_spark_type(extension_dtype),
              (extension_dtype, spark_type),
          )
  
imports: import sys
  import unittest
  import datetime
  import decimal
  from typing import List
  import pandas
  import pandas
  from pandas.api.types import CategoricalDtype
  import numpy
  from pyspark.loose_version import LooseVersion
  from pyspark.sql.types import ArrayType, BinaryType, BooleanType, FloatType, IntegerType, LongType, StringType, StructField, StructType, ByteType, ShortType, DateType, DecimalType, DoubleType, TimestampType
  from pyspark.pandas.typedef import as_spark_type, extension_dtypes_available, extension_float_dtypes_available, extension_object_dtypes_available, infer_return_type, pandas_on_spark_type
  from pyspark import pandas
label_desc: Use image node_id 9 for calling the TypeHintTestsMixin obj's underlying member method code with example usage: obj.test_as_spark_type_extension_object_dtypes() without return types