在 Python 中，为什么我的 deepCopy 的值仍在更改？

Question

我在 python 中制作了一个 class，我正在尝试创建它的深层副本，但是当我修改原始文件时，'deepCopy' 的值仍然发生了变化。

class boardState():
    def __init__(self, board, orient,actions,expl):
        self.board
        self.orientations = orient
        self.actions = actions
        self.explored = expl    
    def __deepcopy__(self):
        return boardState(self.board, self.orientations, self.actions, self.explored)

    board = []
    orientations = {}           #this stores the orientations of the cars in the current problem.
    actions = []                #this is a list of the moves made to get to this current position.
    explored = []

^ 上面是我正在使用并想复制的class。

 referencestate = copy.deepcopy(state)         
            
 print(id(referencestate))                                   
 print(id(state))

^ 在运行这一行之后，显示他们有相同的id，我想让他们独立。

如有任何帮助，我们将不胜感激！

Answer 1

我觉得这个deepcopy只是获取了一个新的class for boardState but the id(state.board) = id(referencestate.board), 因为创建的时候直接使用了原来的对象class 。如果你不想改变原来的值，就不要传递参数directly.Use他们的副本。你可以尝试使用 ->state=boardState(board[:], dict.copy(orientations), actions[:], explored[:]) #this use shallow. 看看下面的代码 ->

import copy
class boardState():
    def __init__(self, board, orient,actions,expl):
        self.board = board
        self.orientations = orient
        self.actions = actions
        self.explored = expl
        
    """
    def __deepcopy__(self, memo):
        return boardState(self.board[:], dict.copy(self.orientations), self.actions[:], self.explored[:])
    
    def __deepcopy__(self):
        return boardState(self.board, self.orientations, self.actions, self.explored)
    """
    def __deepcopy__(self, memo):
        dpcpy = self.__class__
        memo[id(self)] = dpcpy
        for attr in dir(self):
            if not attr.startswith('_'):
                value = getattr(self, attr)
                setattr(dpcpy, attr, copy.deepcopy(value, memo))
        return dpcpy


board = [[1]]
orientations = {"6":"h"}           #this stores the orientations of the cars in the current problem.
actions = [2]                #this is a list of the moves made to get to this current position.
explored = [3] 
state1=boardState(board, orientations, actions,     explored)
state2=boardState(board[:], dict.copy(orientations), actions[:],    explored[:])
referencestate = copy.deepcopy(state1)
print(id(referencestate))
print(id(state1))
print(id(state2))
print(id(state1.board))
print(id(state2.board))
print(id(state1.board) == id(state2.board))
print(id(referencestate.board))
print(id(state1.board) == id(referencestate.board))
print(id(state1.board[0]))
print(id(state2.board[0]))
print(id(state1.board[0]) == id(state2.board[0]))
print(id(referencestate.board[0]))
print(id(state1.board[0]) == id(referencestate.board[0]))

尝试运行

在 Python 中，为什么我的 deepCopy 的值仍在更改？

In Python, why is my deepCopy still having its values changed?

python

copy

class

deep-copy