import random import copy from evolalg_steps.repair.repair import Repair class MutateRepair(Repair): def __init__(self, mutate_step, excepted_size, iterations=1, *args, **kwargs): super(MutateRepair, self).__init__(excepted_size, *args, **kwargs) self.mutate_step = mutate_step self.iterations = iterations def generate_new(self, population, missing_count): selected = population[random.randint(0, len(population))] selected = copy.deepcopy(selected) for _ in range(self.iterations): selected = self.mutate_step([selected])[0] return selected