human
Solve the following python programming problem given the following code:
@ derived_from (pd.DataFrame) 
def describe(self) : 
    name = ('describe--' + tokenize (self)) 
    num = self._get_numeric_data () 
    stats = [num.count (), num.mean (), num.std (), num.min (), num.quantile ([0.25, 0.5, 0.75]), num.max ()] 
    stats_names = [(s._name, 0) for s in name] 
    def build_partition(values) : 
        assert (len (values) == 6) 
        (count, mean, std, min, q, max) = values 
        part1 = self._partition_type ([count, mean, std, min], index = ['count', 'mean', 'std', 'min']) 
        q.index = ['25%', '50%', '75%'] 
        part3 = self._partition_type ([max], index = ['max']) 
        return pd.concat ([part1, q, part3]) 
dsk = dict () 
    dsk [(name, 0)] = (build_partition, (list, stats_names)) 
    dsk = merge (dsk, num.dask, * [s.dask for s in stats]) 
    return self._constructor (dsk, name, num._pd, divisions = [None, None]) 

    
    

    Fix the buggy line: stats_names = [(s._name, 0) for s in name]
assistant
#Here is Python code to fix the buggy line: stats_names = [(s.

stats_names = [(s._name, 0) for s in stats]