code: def test_bitwise(self):
      pser1 = pd.Series(
          [
              True,
              False,
              True,
              False,
              np.nan,
              np.nan,
              True,
              False,
              np.nan,
          ]
      )
      pser2 = pd.Series(
          [
              True,
              False,
              False,
              True,
              True,
              False,
              np.nan,
              np.nan,
              np.nan,
          ]
      )
      psser1 = ps.from_pandas(pser1)
      psser2 = ps.from_pandas(pser2)
  
      self.assert_eq(pser1 | pser2, (psser1 | psser2).sort_index())
      self.assert_eq(pser1 & pser2, (psser1 & psser2).sort_index())
  
      pser1 = pd.Series([True, False, np.nan], index=list("ABC"))
      pser2 = pd.Series([False, True, np.nan], index=list("DEF"))
      psser1 = ps.from_pandas(pser1)
      psser2 = ps.from_pandas(pser2)
  
      self.assert_eq(pser1 | pser2, (psser1 | psser2).sort_index())
      self.assert_eq(pser1 & pser2, (psser1 & psser2).sort_index())
  
file_path: spark/python/pyspark/pandas/tests/diff_frames_ops/test_bitwise.py
imports: import unittest
  import numpy
  import pandas
  from pyspark import pandas
  from pyspark.pandas.config import set_option, reset_option
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
  from pyspark.testing.sqlutils import SQLTestUtils
  from pyspark.pandas.typedef.typehints import extension_object_dtypes_available
label_desc: Use image node_id 3 for calling the BitwiseMixin obj's underlying member method code with example usage: obj.test_bitwise() without return types