human
Solve the following python programming problem given the following code:
def _check_frame_ops(self, frame) : 
    def _compare_to_dense(a, b, da, db, op) : 
        sparse_result = op (a, b) 
        dense_result = op (da, db) 
        fill = sparse_result.default_fill_value 
        dense_result = dense_result.to_sparse (fill_value = fill) 
        tm.assert_sp_frame_equal (sparse_result, dense_result, exact_indices = False) 
        if (isinstance (a, DataFrame) and isinstance (db, DataFrame)) : 
            mixed_result = op (a, db) 
            tm.assertIsInstance (mixed_result, SparseDataFrame) 
            tm.assert_sp_frame_equal (mixed_result, sparse_result, exact_indices = False) 
opnames = ['add', 'sub', 'mul', 'truediv', 'floordiv'] 
    ops = [getattr (operator, name) for name in opnames] 
    fidx = frame.index 
    series = [frame ['A'], frame ['B'], frame ['C'], frame ['D'], frame ['A'].reindex (fidx [: 7]), frame ['A'].reindex (fidx [: : 2]), SparseSeries ([], index = [])] 
    for op in opnames : 
        _compare_to_dense (frame, frame [: : 2], frame.to_dense (), frame [: : 2].to_dense (), getattr (operator, op)) 
        for (i, s) in enumerate (series) : 
            f = (lambda a, b : getattr (a, op) (b, axis = 'index')) 
            _compare_to_dense (name, s, frame.to_dense (), s.to_dense (), f) 
series = [frame.xs (fidx [0]), frame.xs (fidx [3]), frame.xs (fidx [5]), frame.xs (fidx [7]), frame.xs (fidx [5]) [: 2]] 
    for op in ops : 
        for s in series : 
            _compare_to_dense (frame, s, frame.to_dense (), s, op) 
            _compare_to_dense (s, frame, s, frame.to_dense (), op) 
result = (self.frame + self.frame.ix [:, ['A', 'B']]) 

    
    

    Fix the buggy line: _compare_to_dense (name, s, frame.to_dense (), s.to_dense (), f)
assistant
#Here is Python code to fix the buggy line: _compare_to_dense (name, s, frame.

_compare_to_dense (frame, s, frame.to_dense (), s.to_dense (), f)