timeout-decorator的安装 在pypi的标准库中也包含有timeout-decorator模块,因此可以通过pip来直接安装: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 [dechin@dechin-manjaro timeout]$ python3-m pip install timeout_decorator Collecting timeout_decorator Downloading timeout-decorator-0.5.0.tar.gz(4.8...
timeout-decorator装饰器的使用 该超时模块采用装饰器的形式来进行调用,使用时先import该模块,然后在需要设置定时任务的函数前添加@timeout_decorator.timeout(3)即可,这里括号中的3表示超时时间设置为3s,也就是3s后该函数就会停止运行。前面写过一篇博客介绍如何自定义一个装饰器,感兴趣的读者可以自行阅读。在上述的...
在pypi的标准库中也包含有timeout-decorator模块,因此可以通过pip来直接安装: [dechin@dechin-manjaro timeout]$ python3-mpip install timeout_decorator Collecting timeout_decorator Downloading timeout-decorator-0.5.0.tar.gz (4.8 kB) Building wheelsforcollected packages:...
废话听完,我现在介绍主角出场:超时装饰器,timeout decorator。 超时检测逻辑:启动新子线程执行指定的方法,主线程等待子线程的运行结果,若在指定时间内子线程还未执行完毕,则判断为超时,抛出超时异常,并杀掉子线程;否则未超时,返回子线程所执行的方法的返回值。 在实现过程中,发现python默认模块里是没有方法可以杀掉...
python 复制代码 def repeat_decorator(times): def decorator(func): def wrapper(*args, **kwargs): for _ in range(times): result = func(*args, **kwargs) return result return wrapper return decorator @repeat_decorator(3) def greet(name): ...
若被装饰的方法在指定的时间内未返回,则抛出Timeout异常""" deftimeout_decorator(func):"""真正的装饰器"""def_new_func(oldfunc,result,oldfunc_args,oldfunc_kwargs):result.append(oldfunc(*oldfunc_args,**oldfunc_kwargs))def_(*args,**kwargs):...
secondsdefault: 1 second"""defdecorator(func):@functools.wraps(func)defwrapped_func(*args,**kwargs):err_msg=f'Function{func.__name__}timed out after{sec}seconds'ifsys.platform!='win32':importsignaldef_handle_timeout(signum,frame):raiseTimeoutError(err_msg)signal.signal(signal.SIGALRM,_hand...
# mylib.py from wrapt_timeout_decorator import * import time # this example will work on Windows and Linux # since the decorated function is not in the __main__ scope but in another module ! @timeout(1, use_signals=True) def outer(): inner() @timeout(5) def inner(): time.slee...
# decorator to time def timefn(fn): @wraps(fn) def measure_time(*args, **kwargs): t1 = time.time() result = fn(*args, **kwargs) t2 = time.time() print(f"@timefn: {fn.__name__} took {t2 - t1} seconds") return result ...
Once installed, you can decorate your Python functions with the@jitdecorator provided by Numba to trigger just-in-time compilation. Here’s an example: 1 2 3 4 5 6 7 8 9 fromnumbaimportjit @jit defcalculate_sum(n): cdefinti cdefinttotal=0 ...