: print(i)execution_time = timeit.timeit(number = 50)print("运行时长：",execution_time)使用 datetime 模块使用 Python 中的 datetime 模块的 datetime.now() 函数记录开始和结束的时间戳，并计算差值来获取代码执行时间。from datetime import datetimestart_time = datetime.now()for i in range(1000...
等待10秒end_time=time.time()# 获取当前时间戳execution_time=end_time-start_time# 计算函数执行时间ifexecution_time>5:# 判断函数执行时间是否超过5秒raiseTimeoutError("Function execution timed out")# 函数正常执行完毕return"Function executed successfully"try:result...
importtimefromtimeout_decoratorimporttimeout@timeout(5)# 设定超时时间为5秒deflong_time_function():foriinrange(1000000):# 循环体代码# 其他代码# 在循环结束前,重新获取当前时间end_time=time.time()execution_time=end_time-start_timeprint("循环执行时间:",execution_time)long_time_function() 1. 2....
SIGALRM, handler) signal.alarm(time_limit) try: result = func() signal.alarm(0) return result except Exception as e: signal.alarm(0) raise e def my_function(): time.sleep(5) return "Function completed" try: result = limit_execution_time(my_function, 2) print(result) except Exception ...
import time start_time = time.time() # 执行你的代码 end_time = time.time() execution_time = end_time - start_time print(f"代码执行时间:{execution_time} 秒") time.perf_counter() time.perf_counter() 函数返回一个高精度的性能计数器,通常用于测量较小代码块的执行时间。
) end_time = time.time() execution_time = end_time - start_time print(f"Function say_hello executed in {execution_time} seconds") 这样做确实可以实现我们的需求,但是这种改法第一太侵入式(修改原有的代码)了,第二如果有很多类似的函数需要添加相同的功能,或者后续需求变化需要删除或修改这个日志功能,...
end_time=time.time()execution_time=end_time-start_timeprint(f"代码执行时间:{execution_time} 秒") 1. 2. 3. 4. 5. 6. 7. 8. 9. time.perf_counter() time.perf_counter()函数返回一个高精度的性能计数器,通常用于测量较小代码块的执行时间。
execution_time = end_time - start_time print(f"Function '{original_function.__name__}' executed in {execution_time:.6f} seconds.") return result return wrapper @timing_decorator def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2) ...
from:https://stackoverflow.com/questions/366682/how-to-limit-execution-time-of-a-function-call-in-python 当有些函数执行时间过长,影响整个程序运行时,可以使用此方法进行限制,超时会报错。 from__future__importwith_statement#Required in 2.5importsignalfromcontextlibimportcontextmanagerclassTimeoutException(...
Toolformeasuring execution timeofsmall code snippets. Thismoduleavoids a numberofcommon trapsformeasuring execution times. See also Tim Peters' introduction to the Algorithms chapter inthe Python Cookbook, publishedbyO'Reilly.Library usage: see the Timerclass. ...