下面是一个使用wait_for函数设置await的超时时间的示例代码: importasyncioasyncdeffetch(url):# 模拟网络请求awaitasyncio.sleep(2)return"Response from {}".format(url)asyncdefmain():try:# 设置超时时间为1秒response=awaitasyncio.wait_for(fetch(" timeout=1)print(response)exceptasyncio.TimeoutError:print(...
import time async def process_item(item): print(f"处理中:{item}") # async 定义的函数变成了协程 process_time = random.uniform(0.5, 2.0) # time.sleep() 换成 asyncio.sleep() await asyncio.sleep(process_time) # await 等待异步操作完成 return f"处理完成:{item},耗时 {process_time:.2f} ...
2.0)try:# 设置1秒超时awaitasyncio.wait_for(asyncio.sleep(process_time),timeout=1.0)returnf"处理完成:{item},耗时{process_time:.2f}秒"exceptasyncio.TimeoutError:returnf"处理超时:{item}"asyncdefmain():items=["任务A","任务B","任务C","任务D"]tasks=[asyncio.create_task(process_item(item...
import time async def process_item(item): process_time = random.uniform(0.5, 2.0) try: # 设置1秒超时 await asyncio.wait_for( asyncio.sleep(process_time), timeout=1.0 ) return f"处理完成:{item},耗时 {process_time:.2f} 秒" except asyncio.TimeoutError: return f"处理超时:{item}" async...
importtrioasyncdefslow_function():awaittrio.sleep(5)# 模拟一个需要很长时间的操作asyncdefmain():try:asyncwithtrio.open_nursery()asnursery:withtrio.fail_after(2):# 设定超时时间为2秒nursery.start_soon(slow_function)excepttrio.TooSlowError:print("Operation timed out!")trio.run(main) ...
]asyncwithaiohttp.ClientSession()assession:tasks=[asyncio.wait_for(fetch_url(session,url),timeout=...
import aiohttp import asyncio import time import requests async def main(): async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=10)) as session: async with session.get('https://blog.csdn.net/lady_killer9/article/details/108763489') as response: await response.text() def get_...
async_timeout.timeout是异步的 timeout 限制条件,会返回异常中断 coroutine。 async with语法可以参考这篇文章 http://blog.csdn.net/tinyzhao/article/details/52684473 image async def get_image(self):while True:md5, url = await self.urls_queue.get() # 等待队列中的数据if not md5 or md5 in self...
setTimeout是宏任务，会插入到宏任务（Task Queue）中；setTimeout和setInterval的运行机制是，将指定的...
Python 中的with语句可以用于资源管理,类似地,异步编程中我们可以使用async with。一个类要支持异步上下文管理,需要实现__aenter__和__aexit__方法: 代码语言:python 代码运行次数:0 运行 AI代码解释 importasyncioimportrandomclassAsyncResource:asyncdef__aenter__(self):# 异步初始化资源print("正在初始化资源....