code: def _compare_other(
      self,
      ser: pd.Series,
      data_for_compare: SparseArray,
      comparison_op,
      other,
  ):
      op = comparison_op
  
      result = op(data_for_compare, other)
      if isinstance(other, pd.Series):
          assert isinstance(result, pd.Series)
          assert isinstance(result.dtype, SparseDtype)
      else:
          assert isinstance(result, SparseArray)
      assert result.dtype.subtype == np.bool_
  
      if isinstance(other, pd.Series):
          fill_value = op(
              data_for_compare.fill_value, other._values.fill_value
          )
          expected = SparseArray(
              op(data_for_compare.to_dense(), np.asarray(other)),
              fill_value=fill_value,
              dtype=np.bool_,
          )
  
      else:
          fill_value = np.all(
              op(
                  np.asarray(data_for_compare.fill_value),
                  np.asarray(other),
              )
          )
  
          expected = SparseArray(
              op(data_for_compare.to_dense(), np.asarray(other)),
              fill_value=fill_value,
              dtype=np.bool_,
          )
      if isinstance(other, pd.Series):
          # error: Incompatible types in assignment
          expected = pd.Series(expected)  # type: ignore[assignment]
      tm.assert_equal(result, expected)
  
imports: import numpy
  import pytest
  from pandas.errors import PerformanceWarning
  import pandas
  from pandas import SparseDtype
  import pandas._testing
  from pandas.arrays import SparseArray
  from pandas.tests.extension import base
label_desc: Use image node_id 35 for calling the TestSparseArray obj's underlying member method code with example usage: obj._compare_other(ser, data_for_compare, comparison_op, other) without return types