code: def test_items(self):
      pser = pd.Series(["A", "B", "C"])
      psser = ps.from_pandas(pser)
  
      for (p_name, p_items), (k_name, k_items) in zip(
          pser.items(), psser.items()
      ):
          self.assert_eq(p_name, k_name)
          self.assert_eq(p_items, k_items)
  
imports: import unittest
  from collections import defaultdict
  import inspect
  from datetime import datetime, timedelta
  import numpy
  import pandas
  from pyspark.ml.linalg import SparseVector
  from pyspark import pandas
  from pyspark.testing.pandasutils import PandasOnSparkTestCase, SPARK_CONF_ARROW_ENABLED
  from pyspark.testing.sqlutils import SQLTestUtils
  from pyspark.pandas.exceptions import PandasNotImplementedError
  from pyspark.pandas.missing.series import MissingPandasLikeSeries
  from pyspark.pandas.typedef.typehints import extension_object_dtypes_available
label_desc: Use image node_id 38 for calling the SeriesTestsMixin obj's underlying member method code with example usage: obj.test_items() without return types