编译适应度时出现Python Deap Lib类型错误

我不知道为什么我的python软件出现异常（我在windows下运行）：

输出：

() (1.0,)

如果我理解的话，wvalues应该包含所有的旧值，但是它第一次看起来是空的，并且。 我的代码示例如下所示：

 from deap import base
 from deap import creator
 from deap import tools

 creator.create("FitnessInd", base.Fitness, weights=(1.0,))
 creator.create("FitnessGroup", base.Fitness, weights=(1.0,))
 creator.create("Individual", ind.Ind, fitness_ind=creator.FitnessInd, fitness_group=creator.FitnessGroup)
 toolbox.register("new_individual", creator.Individual)
 toolbox.register("desk", tools.initRepeat, list, toolbox.new_individual)
 population = toolbox.desk(n=len(arr))
 stats2 = tools.Statistics(key=lambda ind: ind.fitness_group.values)
 stats1 = tools.Statistics(key=lambda ind: ind.fitness_ind.values)
 stats = tools.MultiStatistics(fitness_ind=stats1, fitness_group=stats2)
 stats.register("min", min)
 logbook = tools.Logbook()

 values = eval_solution(population)
 for ind, v in zip(population, values):
   ind.fitness_ind.value = v,
   ind.fitness_group.value = v,

 record = stats.compile(population)

---

不确定我做错了什么。

为什么

truediv

没有值？不确定你在问什么，但truediv是一个内置的，显然：map（truediv，self.wvalues，self.weights））give:truediv（self.wvalues[0]，self.weights[0]），当self.wvalues=（）时，所以truediv得到一个无参数

() (1.0,)

 from deap import base
 from deap import creator
 from deap import tools

 creator.create("FitnessInd", base.Fitness, weights=(1.0,))
 creator.create("FitnessGroup", base.Fitness, weights=(1.0,))
 creator.create("Individual", ind.Ind, fitness_ind=creator.FitnessInd, fitness_group=creator.FitnessGroup)
 toolbox.register("new_individual", creator.Individual)
 toolbox.register("desk", tools.initRepeat, list, toolbox.new_individual)
 population = toolbox.desk(n=len(arr))
 stats2 = tools.Statistics(key=lambda ind: ind.fitness_group.values)
 stats1 = tools.Statistics(key=lambda ind: ind.fitness_ind.values)
 stats = tools.MultiStatistics(fitness_ind=stats1, fitness_group=stats2)
 stats.register("min", min)
 logbook = tools.Logbook()

 values = eval_solution(population)
 for ind, v in zip(population, values):
   ind.fitness_ind.value = v,
   ind.fitness_group.value = v,

 record = stats.compile(population)