如何在python中为deap包创建包含不同范围的随机数的列表

import random
from deap import base, creator, tools

lower_bound1 = 1
upper_bound1 = 10
lower_bound2 = 50
upper_bound2 = 100
list_length = 10

def evaluate(individual):
    return sum(individual),

toolbox = base.Toolbox()
toolbox.register("attribute", random.randint, lower_bound1, upper_bound1)
toolbox.register("attribute", random.randint, lower_bound2, upper_bound2)
toolbox.register("individual", tools.initRepeat, creator.Individual, toolbox.attribute, n=list_length)
toolbox.register("population", tools.initRepeat, list, toolbox.individual)
toolbox.register("evaluate", evaluate)

toolbox.register("mate", tools.cxTwoPoint)
toolbox.register("mutate", tools.mutUniformInt, low=lower_bound1, up=upper_bound2, indpb=0.1)
toolbox.register("select", tools.selTournament, tournsize=3)

population = toolbox.population(n=50)
for generation in range(10):
    offspring = toolbox.select(population, len(population))
    offspring = list(map(toolbox.clone, offspring))
    
    for child1, child2 in zip(offspring[::2], offspring[1::2]):
        if random.random() < 0.5:
            toolbox.mate(child1, child2)
            del child1.fitness.values
            del child2.fitness.values
            
    for mutant in offspring:
        if random.random() < 0.2:
            toolbox.mutate(mutant)
            del mutant.fitness.values
            
    invalid_individuals = [ind for ind in offspring if not ind.fitness.valid]
    fitnesses = toolbox.map(toolbox.evaluate, invalid_individuals)
    for ind, fit in zip(invalid_individuals, fitnesses):
        ind.fitness.values = fit
        
    population[:] = offspring