Python 修改列表列表中的项目时，也会更改其他列表中相同项目的位置_Python_List

Python 修改列表列表中的项目时，也会更改其他列表中相同项目的位置

python list

Python 修改列表列表中的项目时，也会更改其他列表中相同项目的位置,python,list,Python,List,下面的代码是函数的一部分，但我遇到的问题是在这些行上 # Global variables NUM_MECS = 2 MAX_MEC_CAPACITY = 2 VNF_TYPES = 2 # Mec capacity to hold a vnf served_vnfs = list(range(MAX_MEC_CAPACITY+1)) # 0 does not count as capacity # All possible mec states as f

下面的代码是函数的一部分，但我遇到的问题是在这些行上

# Global variables
NUM_MECS          = 2
MAX_MEC_CAPACITY  = 2
VNF_TYPES         = 2

# Mec capacity to hold a vnf
served_vnfs = list(range(MAX_MEC_CAPACITY+1)) # 0 does not  count as capacity
# All possible mec states as far as holded vnfs
mec_capacity_states = [list(s) for s in itertools.product(served_vnfs, repeat=VNF_TYPES)]
# All possible states with defined number of mecs
mecs_states = [list(p) for p in itertools.product(mec_capacity_states, repeat=NUM_MECS)]

这将生成一个列表列表，如下所示：

out: [[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

例如，如果我只想修改第二个列表第二项中的第二个值：

print(mecs_states[1], '-', mecs_states[1][1], '-', mecs_states[1][1][1])

mecs_states[1][1][1] = 'A'

不仅更改所需的值，还将其他值列在同一索引位置

out: [[[0, 0], [0, 0]], [[0, 0], [0, 'A']], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 'A'], [0, 0]], [[0, 'A'], [0, 'A']], [[0, 'A'], [0, 2]], [[0, 'A'], [1, 0]], [[0, 'A'], [1, 1]], [[0, 'A'], [1, 2]], [[0, 'A'], [2, 0]], [[0, 'A'], [2, 1]], [[0, 'A'], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 'A']], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 'A']], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 'A']], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 'A']], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 'A']], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 'A']], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 'A']], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

我错过了什么？我需要列表中的每个列表都是独立的。我猜原因在于itertools的产品，但我不完全理解为什么

解决方案是什么？

当您构建

mecs\u州

列表时，您不是在创建新的内部列表，而是在引用您在

mec\u州

中创建的相同列表。作为一个较小的例子：

导入itertools
nums=[1,2]
pairs=[itertools.product（nums，repeat=2）中p的列表（p）]
#配对=[[1,1]，[1,2]，[2,1]，[2,2]]
a、 b，c，d=成对#为后面的示例解包“成对”。
nested=[itertools.product（成对，重复=2）中p的列表（p）]
#嵌套=[
#     [[1, 1], [1, 1]],
#     [[1, 1], [1, 2]],
#     [[1, 1], [2, 1]],
#     [[1, 1], [2, 2]],
# ...]

嵌套的

的内部元素的一点是，通过引用，它们与对的元素是相同的列表：
nested[0][0]是一个
#真的
嵌套的[0][1]是一个
#真的
嵌套的[0][0][0]=“x”
#a=['x'，1]
#嵌套=[
#[x'，1]，[x'，1]]，
#[x'，1]，[x'，2]]，
#[x'，1]，[2,1],，
#[x'，1]，[2,2],，
# ...]

因此，当您修改nested[0][0][0]
时，即修改nested[0][0]
和a
都指向的列表。从本质上讲，这是人们在执行[[]]*10
时遇到的问题的一个稍微复杂的版本，所有十个列表在内存中都是相同的列表
您可以在构建集合后，等到最后，将itertools.product
提供给您的tuple
s转换为list
s来解决这个问题。但是，一旦您进入嵌套集合的深度超过了两个级别，就应该开始考虑类或其他数据结构是否更适合封装所需的行为。
当您构建mecs\U状态
列表时，您并不是在创建新的内部列表，您正在引用在mec\u capacity\u州创建的相同列表。作为一个较小的例子：
导入itertools
nums=[1,2]
pairs=[itertools.product（nums，repeat=2）中p的列表（p）]
#配对=[[1,1]，[1,2]，[2,1]，[2,2]]
a、 b，c，d=成对#为后面的示例解包“成对”。
nested=[itertools.product（成对，重复=2）中p的列表（p）]
#嵌套=[
#     [[1, 1], [1, 1]],
#     [[1, 1], [1, 2]],
#     [[1, 1], [2, 1]],
#     [[1, 1], [2, 2]],
# ...]

嵌套的的内部元素的一点是，通过引用，它们与对的元素是相同的列表：
nested[0][0]是一个
#真的
嵌套的[0][1]是一个
#真的
嵌套的[0][0][0]=“x”
#a=['x'，1]
#嵌套=[
#[x'，1]，[x'，1]]，
#[x'，1]，[x'，2]]，
#[x'，1]，[2,1],，
#[x'，1]，[2,2],，
# ...]

因此，当您修改nested[0][0][0]
时，即修改nested[0][0]
和a
都指向的列表。从本质上讲，这是人们在执行[[]]*10
时遇到的问题的一个稍微复杂的版本，所有十个列表在内存中都是相同的列表
您可以在构建集合后，等到最后，将itertools.product
提供给您的tuple
s转换为list
s来解决这个问题。但是，一旦您进入嵌套集合的深度超过了几层，就应该开始考虑类或其他数据结构是否更适合封装所需的行为。
只需“克隆”mecs_状态列表项即可。请参见代码中的copy.deepcopy

import itertools
import copy

NUM_MECS = 2
MAX_MEC_CAPACITY = 2
VNF_TYPES = 2

# Mec capacity to hold a vnf
served_vnfs = list(range(MAX_MEC_CAPACITY + 1))  # 0 does not  count as capacity
# All possible mec states as far as holded vnfs
mec_capacity_states = [list(s) for s in itertools.product(served_vnfs, repeat=VNF_TYPES)]
# All possible states with defined number of mecs
mecs_states = [copy.deepcopy(list(p)) for p in itertools.product(mec_capacity_states, repeat=NUM_MECS)]
print(mecs_states)
print(mecs_states[1], '-', mecs_states[1][1], '-', mecs_states[1][1][1])
mecs_states[1][1][1] = 'A'
print(mecs_states)

输出
[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]
[[0, 0], [0, 1]] - [0, 1] - 1
[[[0, 0], [0, 0]], [[0, 0], [0, 'A']], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

[[['A', 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

只需“克隆”mecs_州的列表项即可。请参见代码中的copy.deepcopy

import itertools
import copy

NUM_MECS = 2
MAX_MEC_CAPACITY = 2
VNF_TYPES = 2

# Mec capacity to hold a vnf
served_vnfs = list(range(MAX_MEC_CAPACITY + 1))  # 0 does not  count as capacity
# All possible mec states as far as holded vnfs
mec_capacity_states = [list(s) for s in itertools.product(served_vnfs, repeat=VNF_TYPES)]
# All possible states with defined number of mecs
mecs_states = [copy.deepcopy(list(p)) for p in itertools.product(mec_capacity_states, repeat=NUM_MECS)]
print(mecs_states)
print(mecs_states[1], '-', mecs_states[1][1], '-', mecs_states[1][1][1])
mecs_states[1][1][1] = 'A'
print(mecs_states)

输出
[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]
[[0, 0], [0, 1]] - [0, 1] - 1
[[[0, 0], [0, 0]], [[0, 0], [0, 'A']], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

[[['A', 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

使用json进行序列化和反序列化
import json

# Mec capacity to hold a vnf
served_vnfs = list(range(MAX_MEC_CAPACITY + 1))  # 0 does not  count as capacity
# All possible mec states as far as holded vnfs
mec_capacity_states = [list(s) for s in itertools.product(served_vnfs, repeat=VNF_TYPES)]
# All possible states with defined number of mecs
mecs_states = [copy.deepcopy(list(p)) for p in 
itertools.product(mec_capacity_states, repeat=NUM_MECS)]
mecs_states = json.loads(json.dumps(list(mecs_states)))

print(mecs_states)
mecs_states[0][0][0] = 'A'
print(mecs_states)

输出
[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]
[[0, 0], [0, 1]] - [0, 1] - 1
[[[0, 0], [0, 0]], [[0, 0], [0, 'A']], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

[[['A', 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

使用json进行序列化和反序列化
import json

# Mec capacity to hold a vnf
served_vnfs = list(range(MAX_MEC_CAPACITY + 1))  # 0 does not  count as capacity
# All possible mec states as far as holded vnfs
mec_capacity_states = [list(s) for s in itertools.product(served_vnfs, repeat=VNF_TYPES)]
# All possible states with defined number of mecs
mecs_states = [copy.deepcopy(list(p)) for p in 
itertools.product(mec_capacity_states, repeat=NUM_MECS)]
mecs_states = json.loads(json.dumps(list(mecs_states)))

print(mecs_states)
mecs_states[0][0][0] = 'A'
print(mecs_states)

输出
[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]
[[0, 0], [0, 1]] - [0, 1] - 1
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[[[0, 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

[[['A', 0], [0, 0]], [[0, 0], [0, 1]], [[0, 0], [0, 2]], [[0, 0], [1, 0]], [[0, 0], [1, 1]], [[0, 0], [1, 2]], [[0, 0], [2, 0]], [[0, 0], [2, 1]], [[0, 0], [2, 2]], [[0, 1], [0, 0]], [[0, 1], [0, 1]], [[0, 1], [0, 2]], [[0, 1], [1, 0]], [[0, 1], [1, 1]], [[0, 1], [1, 2]], [[0, 1], [2, 0]], [[0, 1], [2, 1]], [[0, 1], [2, 2]], [[0, 2], [0, 0]], [[0, 2], [0, 1]], [[0, 2], [0, 2]], [[0, 2], [1, 0]], [[0, 2], [1, 1]], [[0, 2], [1, 2]], [[0, 2], [2, 0]], [[0, 2], [2, 1]], [[0, 2], [2, 2]], [[1, 0], [0, 0]], [[1, 0], [0, 1]], [[1, 0], [0, 2]], [[1, 0], [1, 0]], [[1, 0], [1, 1]], [[1, 0], [1, 2]], [[1, 0], [2, 0]], [[1, 0], [2, 1]], [[1, 0], [2, 2]], [[1, 1], [0, 0]], [[1, 1], [0, 1]], [[1, 1], [0, 2]], [[1, 1], [1, 0]], [[1, 1], [1, 1]], [[1, 1], [1, 2]], [[1, 1], [2, 0]], [[1, 1], [2, 1]], [[1, 1], [2, 2]], [[1, 2], [0, 0]], [[1, 2], [0, 1]], [[1, 2], [0, 2]], [[1, 2], [1, 0]], [[1, 2], [1, 1]], [[1, 2], [1, 2]], [[1, 2], [2, 0]], [[1, 2], [2, 1]], [[1, 2], [2, 2]], [[2, 0], [0, 0]], [[2, 0], [0, 1]], [[2, 0], [0, 2]], [[2, 0], [1, 0]], [[2, 0], [1, 1]], [[2, 0], [1, 2]], [[2, 0], [2, 0]], [[2, 0], [2, 1]], [[2, 0], [2, 2]], [[2, 1], [0, 0]], [[2, 1], [0, 1]], [[2, 1], [0, 2]], [[2, 1], [1, 0]], [[2, 1], [1, 1]], [[2, 1], [1, 2]], [[2, 1], [2, 0]], [[2, 1], [2, 1]], [[2, 1], [2, 2]], [[2, 2], [0, 0]], [[2, 2], [0, 1]], [[2, 2], [0, 2]], [[2, 2], [1, 0]], [[2, 2], [1, 1]], [[2, 2], [1, 2]], [[2, 2], [2, 0]], [[2, 2], [2, 1]], [[2, 2], [2, 2]]]

这回答了你的问题吗？对于正在发生的事情的一个简单示例，您可以这样做：a=[1,2,3]；b=a；b[1]=“A”；印刷品（b）；这是否回答了你的问题？对于正在发生的事情的一个简单示例，您可以这样做：a=[1,2,3]；b=a；b[1]=“A”；印刷品（b）；打印（a）感谢您的解释，我不知道itertools.product会指向相同的内存分配。事实上，这是一个很好的函数，可以获得向量之间所有可能的组合，这就是为什么我首先使用它。感谢您的解释，我不知道itertools.product会指向相同的内存分配。事实上，这是一个很好的函数，可以获得向量之间所有可能的组合，这就是我首先使用它的原因。您的建议工作不正常，如果您尝试更改mecs_状态[0][0][0]='a'，您将看到它重复了去修改您的建议工作不正常，如果您尝试更改mecs_状态[0][0]='A'您将看到它重复了去修改