深度复制上面带有精灵的二维数组（板）

由 发布于 pythonpygamedeep-copyspriteminimax
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i'm currently working on my final project in school so i'm making a game with pygame. The game includes a board with bases, colonies and defenses, all are sprite objets. In the project we were requested to add 2 machine learning algorithems so one of them is minimax. as you probably know, to use minimax you need to copy.deepcopy the board a couple of times and calculate each board's huristic value and find the best boards when max and the worst ones when min.

The problem I am facing is the simple fact that copy.deepcopy probably can't operate on an object that has sprite's attributes. This is the error message that shows up:

TypeError：无法腌制pygame.Surface对象

它将我的地址指向代码的这一行：

b = copy.deepcopy（板）

我真的不知道在这种情况下该怎么办，因为我有大约1700行代码+完成的图形，并且将所有对象更改为非sprite对象实在太多了，所以我无法返回并更换电路板。 所以我非常需要您的帮助，必须弄清楚这一点才能继续

这是游戏开始时董事会中单行的​​示例；只是为了帮助您了解我在说什么：

[无，“ <”殖民地精灵（分为2组）“>”，无，无，无，无，无，无，无，无，无，无，无，无，无，无，无，无，“ <“殖民地雪碧（分为2组）”>“，无]

最后一段中与sprite相关的代码是殖民地类的示例：

class Colony(pg.sprite.Sprite):
    def __init__(self, x, y, clan, type):
        self.clan = clan
        if self.clan == 1:
            name = "joogadars"
        else:
            name = "klagars"
        self.type = type
        if type == 1:
            type_name = "doorks"
        else:
            type_name = "gorgs"
        self.lvl = 1
        self.attackable = True

        self.rates = array_from_txt_colonies("Colonies Data.txt", self.type, 'Rates')
        self.prices = array_from_txt_colonies("Colonies Data.txt", self.type, 'Prices')
        self.hps = array_from_txt_colonies("Colonies Data.txt", self.type, 'Hps')
        self.hp = self.hps[self.lvl - 1]
        self.rate = self.rates[self.lvl - 1]

        self.position = (x, y)
        full_name = type_name + '/' + name + '/' + name + " " + type_name + " colony lvl " + str(self.lvl) + " use.png"
        pg.sprite.Sprite.__init__(self)
        img = 'C:/Users/ariel/Desktop/Ariel/12th/Python/final proj/graphics/islands/colonies/' + full_name
        self.image = pg.image.load(img)
        self.rect = self.image.get_rect(center=self.position)
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