human
Solve the following python programming problem given the following code:
def cache_size(mb = True) : 
    '
    Calculate statistics about the cache.

    Note: we cannot get reliable memory statistics from the cache -
    whereas we could do `getsizof` each object in cache, the result is
    highly imprecise and for a large number of objects the result is
    many times larger than the actual memory usage of the entire server;
    Python is clearly reusing memory behind the scenes that we cannot
    catch in an easy way here.  Ideas are appreciated. /Griatch

    Returns:
      total_num, {objclass:total_num, ...}

    ' 
    numtotal = [0] 
    classdict = { 
        
} 
    def get_recurse(submodels) : 
        for submodel in submodels : 
            subclasses = submodel.__subclasses__ () 
            if (not subclasses) : 
                num = len (submodel.get_all_cached_instances ()) 
                numtotal [0] += num 
                classdict [submodel.__name__] = num 
else : 
                get_recurse (subclasses) 
get_recurse (SharedMemoryModel.__subclasses__ ()) 
    return (numtotal [0], get_recurse) 

    
    

    Fix the buggy line: return (numtotal [0], get_recurse)
assistant
#Here is Python code to fix the buggy line: return (numtotal [0], get_recurse)
.

return (numtotal [0], classdict)