TypeError：__ depep __（）需要1个位置参数但是2个给出了错误？

Question

我正在对一个对象列表进行深度复制，但我一直收到以下错误：

deepcopy __deepcopy__() takes 1 positional argument but 2 were given

并跟踪追溯：

TypeError                                 Traceback (most recent call last)
<ipython-input-4-66b9ee5521c7> in <module>()
      2
      3 import copy
----> 4 regions_copy = copy.deepcopy(regions)
      5 regions[0].A = 15
      6 print(regions[0].A)

/home/michal/Bin/anaconda/envs/tensorflow/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
    153     copier = _deepcopy_dispatch.get(cls)
    154     if copier:
--> 155         y = copier(x, memo)
    156     else:
    157         try:

/home/michal/Bin/anaconda/envs/tensorflow/lib/python3.5/copy.py in _deepcopy_list(x, memo)
    216     memo[id(x)] = y
    217     for a in x:
--> 218         y.append(deepcopy(a, memo))
    219     return y
    220 d[list] = _deepcopy_list

/home/michal/Bin/anaconda/envs/tensorflow/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
    180                             raise Error(
    181                                 "un(deep)copyable object of type %s" % cls)
--> 182                 y = _reconstruct(x, rv, 1, memo)
    183
    184     # If is its own copy, don't memoize.

/home/michal/Bin/anaconda/envs/tensorflow/lib/python3.5/copy.py in _reconstruct(x, info, deep, memo)
    295     if state is not None:
    296         if deep:
--> 297             state = deepcopy(state, memo)
    298         if hasattr(y, '__setstate__'):
    299             y.__setstate__(state)

/home/michal/Bin/anaconda/envs/tensorflow/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
    153     copier = _deepcopy_dispatch.get(cls)
    154     if copier:
--> 155         y = copier(x, memo)
    156     else:
    157         try:

/home/michal/Bin/anaconda/envs/tensorflow/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
    241     memo[id(x)] = y
    242     for key, value in x.items():
--> 243         y[deepcopy(key, memo)] = deepcopy(value, memo)
    244     return y
    245 d[dict] = _deepcopy_dict

/home/michal/Bin/anaconda/envs/tensorflow/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
    164             copier = getattr(x, "__deepcopy__", None)
    165             if copier:
--> 166                 y = copier(memo)
    167             else:
    168                 reductor = dispatch_table.get(cls)

TypeError: __deepcopy__() takes 1 positional argument but 2 were given

当我复制单个对象时，问题似乎也出现了。知道可能是什么原因？

我想它可能在我的类实现中，因为深度复制像[object(), object(), object()]这样的列表很好。虽然那会很奇怪......

Answer 1

我发现问题实际上在变量regions的定义中。它是类AreaRegion的列表，其中包含对类__dict__的分配：

from matplotlib.path import Path

...

class AreaRegion:

    def __init__(self):
        ...
        self.path = Path(verts, codes, closed=True)
        ...

    ...

显然它并不喜欢这样，所以我把Path变成了吸气剂。