import contextvars import functools from contextvars import ContextVar context = contextvars.copy_context() context_var = ContextVar('key', default=None) def resetter(context_var, token, invalid_values): value = context_var.get() if value in invalid_values: context_var.reset(token) def blackli...
python 体验AI代码助手 代码解读复制代码classMyContext:def__enter__(self):print("进入上下文")returnself def__exit__(self,exc_type,exc_value,traceback):print("离开上下文")withMyContext()ascontext:print("在上下文中执行操作") 在进入和离开上下文时,分别会执行__enter__和__exit__方法。 元类:类...
def log_decorator(original_function): @functools.wraps(original_function) def wrapper(*args, **kwargs): logging.info(f"Calling function '{original_function.__name__}' with args {args} and kwargs {kwargs}.") result = original_function(*args, **kwargs) logging.info(f"Function '{original...
#-*- coding:utf-8 -*-from__future__importprint_functionimportredisimporttimeimportmultiprocessingfromcontextlibimportcontextmanager as _contextmanager#简单创建redis的客户端r = redis.Redis(host='localhost', port=6379, db=0)#分布式锁实现#finally中验证本线程是否获得锁, 是为了防止误删别的线程获取的锁...
from contextlib import contextmanager @contextmanager def tag(name): print "<%s>" % name yield print "</%s>" % name >>> with tag("h1"): ... print "foo" ... foo The function being decorated must return agenerator-iterator when called. This iterator must yield exactly one value...
from mindspore import context context.set_context(mode=context.GRAPH_MODE, device_target="CPU") #设置为CPU模式 import numpy as np import matplotlib.pyplot as plt from mindspore import dataset as ds from mindspore.common.initializer import Normal from mindspore import nn from mindspore import Tensor...
这里我们用context manager (with语句)打开保存5台交换机管理IP的ip_list.txt文件,然后用for循环配合readlines()遍历里面的每一个ip,因为readlines()返回的列表里的每个元素后面都会接一个换行符\n,所以我们用strip()函数将其拿掉然后赋值给变量ip,这个变量ip则作为字典connection_info里'ip'这个键的值放入字典,这里...
fromcontextlib import contextmanager # 定义上下文管理器函数 @contextmanager def function_based_context_manager():print("进入上下文: __enter__")yield"这是个基于上下文管理器的函数"print("离开上下文: __exit__")# with语句中使用上下文管理器函数 ...
import boto3 import botocore def lambda_handler(event, context): print(f'boto3 version: {boto3.__version__}') print(f'botocore version: {botocore.__version__}') Python 3.13 中的实验性功能 Python 3.13 托管式运行时和基础映像不支持以下实验性功能。您无法使用运行时标志来启用这些功能。要在 ...
使用contextlib实现 import contextlib @contextlib.contextmanager def use_money(man): try: print(man + '十分放心大胆的掏出钱包') yield None # yield生成器,运行到这里会返回一个值(你随便写一个就行) finally: print(man + '万分谨慎的收起了钱包') ...