# 下面改变 b 的第一个元素后，a 的第一个元素也变化了，使用 id 查看两对象是一个

a = [1, 2, 3]

b = a

b[0] = 4

print(b, id(b))  # [4, 2, 3] 1722827161800

print(a, id(a))  # [4, 2, 3] 1722827161800

# 改变 b 的第一个元素后 a 不影响，id 查看是两个对象

import copy

a = [1, 2, 3]

b = copy.copy(a)

b[0] = 4

print(b, id(b))  # [4, 2, 3] 1722859718536

print(a, id(a))  # [1, 2, 3] 1722859718728

# 和上面 copy 模块的使用一样效果

a = [1, 2, 3]

b = a.copy()

b[0] = 4

print(b, id(b))  # [4, 2, 3] 1722859718728

print(a, id(a))  # [1, 2, 3] 1722827161800

# 虽然是两个对象，但是发现 a 的第一个元素不受影响，但是 a 的第三个元素，也就是字典里的元素收到了影响，所以这是个浅拷贝

import copy

a = [1, 2, {'name': 'Jalen'}]

b = copy.copy(a)

b[0] = 4

b[2]['name'] = 'Moe'

print(b, id(b))  # [4, 2, {'name': 'Moe'}] 1722827161800

print(a, id(a))  # [1, 2, {'name': 'Moe'}] 1722859718536

# 发现 a 对象字典里的元素也不受 b 的影响

import copy

a = [1, 2, {'name': 'Jalen'}]

b = copy.deepcopy(a)

b[0] = 4

b[2]['name'] = 'Moe'

print(b, id(b))  # [4, 2, {'name': 'Moe'}] 1722859718536

print(a, id(a))  # [1, 2, {'name': 'Jalen'}] 1722859718728

# 再深入修改数据元素，测试深拷贝，发现 a 完全不受影响

import copy

a = [1, 2, {'name': {'china': ['anhui', 'jiangsu', 'zhejiang']}}]

b = copy.deepcopy(a)

b[0] = 4

b[2]['name']['china'][0] = 'hubei'

print(b, id(b))  # [4, 2, {'name': {'china': ['hubei', 'jiangsu', 'zhejiang']}}] 1722859718728

print(a, id(a))  # [1, 2, {'name': {'china': ['anhui', 'jiangsu', 'zhejiang']}}] 1722858518408