human
Solve the following python programming problem given the following code:
def process_data() : 
    from bokeh.sampledata.gapminder import fertility, life_expectancy, population, regions 
    columns = list (fertility.columns) 
    years = list (range (int (columns [0]), int (columns [(- 1)]))) 
    rename_dict = dict (zip (columns, years)) 
    fertility = fertility.rename (columns = rename_dict) 
    life_expectancy = life_expectancy.rename (columns = rename_dict) 
    population = population.rename (columns = rename_dict) 
    regions = regions.rename (columns = rename_dict) 
    scale_factor = 200 
    population_size = (np.sqrt ((population / np.pi)) / scale_factor) 
    min_size = 3 
    population_size = population_size.where ((population_size >= min_size)).fillna (min_size) 
    regions.Group = regions.Group.astype ('category') 
    regions_list = list (regions.Group.cat.categories) 
    def get_color(r) : 
        return Spectral6 [regions_list.index (r.Group)] 
regions ['region_color'] = regions.apply (get_color, axis = 1) 
    return (fertility, life_expectancy, population_size, regions, scale_factor, regions_list) 

    
    

    Fix the buggy line: return (fertility, life_expectancy, population_size, regions, scale_factor, regions_list)
assistant
#Here is Python program to fix the buggy line: return (fertility, life_expectancy, population_size, regions, scale_factor, regions_list)
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return (fertility, life_expectancy, population_size, regions, years, regions_list)