human
Solve the following python programming problem given the following code:
def _filter_data(lhs, rhs) : 
    '
    Data filtering routine for dynamic VAR

    lhs : DataFrame
        original data
    rhs : DataFrame
        lagged variables

    Returns
    -------

    ' 
    def _has_all_columns(df) : 
        return (np.isfinite (df.values).sum (1) == len (df.columns)) 
rhs_valid = _has_all_columns (lhs_valid) 
    if (not rhs_valid.all ()) : 
        pre_filtered_rhs = rhs [rhs_valid] 
else : 
        pre_filtered_rhs = rhs 
index = lhs.index.union (rhs.index) 
    if ((not index.equals (rhs.index)) or (not index.equals (lhs.index))) : 
        rhs = rhs.reindex (index) 
        lhs = lhs.reindex (index) 
        rhs_valid = _has_all_columns (rhs) 
lhs_valid = _has_all_columns (lhs) 
    valid = (rhs_valid & lhs_valid) 
    if (not valid.all ()) : 
        filt_index = rhs.index [valid] 
        filtered_rhs = rhs.reindex (filt_index) 
        filtered_lhs = lhs.reindex (filt_index) 
else : 
        (filtered_rhs, filtered_lhs) = (rhs, lhs) 
return (filtered_lhs, filtered_rhs, pre_filtered_rhs, index, valid) 

    
    

    Fix the buggy line: rhs_valid = _has_all_columns (lhs_valid)
assistant
#Here is Python program to fix the buggy line: rhs_valid = _has_all_columns (lhs_valid)
.

rhs_valid = _has_all_columns (rhs)