human
Solve the following python programming problem given the following code:
def lru_cache(maxsize) : 
    'Decorator applying a least-recently-used cache with the given maximum size.

    Arguments to the cached function must be hashable.
    Cache performance statistics stored in f.hits and f.misses.

    from http://code.activestate.com/recipes/498245/
    ' 
    def decorating_function(f) : 
        cache = { 
            
} 
        queue = deque () 
        refcount = { 
            
} 
        def wrapper(* args) : 
            _cache = cache 
            _len = len 
            _refcount = refcount 
            _maxsize = maxsize 
            queue_append = queue.append 
            queue_popleft = queue.popleft 
            try : 
                result = _cache [args] 
                wrapper.hits += 1 
except KeyError : 
                result = _cache [args] = f (* args) 
                wrapper.misses += 1 
queue_append (args) 
            _refcount [args] = (_refcount.get (args, 0) + 1) 
            while (_len (_cache) > _maxsize) : 
                k = queue_popleft () 
                _refcount [k] -= 1 
                if (not _refcount [k]) : 
                    del _cache [k] 
                    del _refcount [k] 
if (_len (queue) > (_maxsize * 4)) : 
                for i in ([None] * _len (queue)) : 
                    k = queue_popleft () 
                    if (_refcount [k] == 1) : 
                        queue_append (k) 
else : 
                        _refcount [k] -= 1 
assert (len (queue) == len (cache) == len (refcount) == sum (refcount.itervalues ())) 
return result 
wrapper.__doc__ = f.__doc__ 
        wrapper.__name__ = f.__name__ 
        wrapper.hits = wrapper.misses = 0 
        return wrapper 
return maxsize 

    
    

    Fix the buggy line: return maxsize
assistant
#Here is Python code to fix the buggy line: return maxsize
.

return def decorating_function(