code: def test_eq(self):
      pser = pd.Series([1, 2, 3, 4, 5, 6], name="x")
      psser = ps.from_pandas(pser)
  
      # other = Series
      self.assert_eq(pser.eq(pser), psser.eq(psser))
      self.assert_eq(pser == pser, psser == psser)
  
      # other = dict
      other = {
          1: None,
          2: None,
          3: None,
          4: None,
          np.nan: None,
          6: None,
      }
      self.assert_eq(pser.eq(other), psser.eq(other))
      self.assert_eq(pser == other, psser == other)
  
      # other = set
      other = {1, 2, 3, 4, np.nan, 6}
      self.assert_eq(pser.eq(other), psser.eq(other))
      self.assert_eq(pser == other, psser == other)
  
      # other = list
      other = [np.nan, 1, 3, 4, np.nan, 6]
      self.assert_eq(pser.eq(other), psser.eq(other).sort_index())
      self.assert_eq(pser == other, (psser == other).sort_index())
  
      # other = tuple
      other = (np.nan, 1, 3, 4, np.nan, 6)
      self.assert_eq(pser.eq(other), psser.eq(other).sort_index())
      self.assert_eq(pser == other, (psser == other).sort_index())
  
      # other = list with the different length
      other = [np.nan, 1, 3, 4, np.nan]
      with self.assertRaisesRegex(ValueError, "Lengths must be equal"):
          psser.eq(other)
      with self.assertRaisesRegex(ValueError, "Lengths must be equal"):
          psser == other
  
      # other = tuple with the different length
      other = (np.nan, 1, 3, 4, np.nan)
      with self.assertRaisesRegex(ValueError, "Lengths must be equal"):
          psser.eq(other)
      with self.assertRaisesRegex(ValueError, "Lengths must be equal"):
          psser == other
  
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 43 for calling the SeriesTestsMixin obj's underlying member method code with example usage: obj.test_eq() without return types