Python：调用复制函数时调用Python对象时超出了最大递归深度

Python: maximum recursion depth exceeded while calling a Python object when calling copy function

我有一个类粒子，它有一些参数和属性，如下所示。但是，当它到达函数setter的位置，并执行copy()函数时，我得到错误消息：runtimeerror:调用python对象时超过了最大递归深度。我尝试过不同的选项，比如deepcopy()，或者import sys.setrecursionlimit(10000)，但是没有一个有效的……有人知道吗？这是我的代码：

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48

def initCost(n):
a = random.randint(0,10) #gram.
b = random.randint(0,5) #price
return [random.randint(0,a*b) for i in range(n)]

costs = initCost(10)

class Particle:
def __init__(self, n, maxWeight):
self.position = [random.randint(0,1) for i in range(n)] #position
self.velocity = [0 for i in range(n)] #velocity
#self.fit = self.fitness(self.position)
self.bp = self.position.copy() #best position
self.bf = self.fit #best fitness
self.evaluate()

def fit(self, x):
fitt = 0
for i in range(len(x)-1):
if (x[i] == 1):
fitt = fitt + costs[i]
return fitt

def evaluate(self):
""" evaluates the particle"""
self.fitness = self.fit(self.position)

@property
def position(self):
return self.position

@property
def bp(self):
return self.bp

@property
def bf(self):
return self.bf

@position.setter
def position(self, newPosition):
self.position = newPosition.copy()
#self.position = newPosition[:]
self.evaluate()
# automatic update of particle's memory
if (self.fit<self.bf):
self.bp = self.position
self.bf = self.fit