import timeitfor i in range(1000): 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 = dat...
import timeit def my_function(): # 要测试的代码 # 测试函数执行时间 execution_time = timeit.timeit(my_function, number=1) print(f"Execution time: {execution_time} seconds") 使用cProfile模块:cProfile是Python的性能分析工具,可以帮助查看函数调用及执行时间。 import cProfile def my_function(): ...
importthreadingdeffunction(i):print("function called by thread %i\n"%i)return#threads = []foriinrange(5):t=threading.Thread(target=function,args=(i,))## 用 function 函数初始化一个 Thread 对象 t,并将参数 i 传入;#threads.append(t)t.start()## 线程被创建后不会马上执行,需要手动调用 .st...
start_time = time.time() result = original_function(*args, **kwargs) end_time = time.time() 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...
queue.join()logging.info('Took %s',time()-ts)if__name__=='__main__':main() 在较早使用的同一台计算机上运行此Python线程示例脚本,下载时间为4.1秒!这比上一个示例快了4.7倍。尽管这要快得多,但是值得一提的是,由于GIL,整个过程中一次仅执行一个线程。因此,此代码是并发的,但不是并行的。仍然更...
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. ...
from rq_scheduler import Scheduler queue = Queue('circle', connection=Redis()) scheduler = Scheduler(queue=queue) scheduler.schedule( scheduled_time=datetime.utcnow(), # Time for first execution, in UTC timezone func=func, # Function to be queued args=[arg1, arg2], # Arguments...
set odps.function.timeout=xxx; 调整UDF运行超时时长。默认值为1800s。可根据实际情况酌情调大。取值范围为1s~3600s。 set odps.sql.executionengine.batch.rowcount=xxx; 调整MaxCompute一次处理的数据行数。默认值为1024行。可根据实际情况酌情调小。 网络问题 问题现象:调用MaxCompute UDF访问外网时,代码运行会报...
A Simple Delete Function We all need to delete files from our filesystem from time to time, so let’s write a function in Python which will make it a bit easier for our scripts to do so. #!/usr/bin/env python # -*- coding: utf-8 -*- ...
Access to the Azure Functions runtime logger is available via a root logging handler in your function app. This logger is tied to Application Insights and allows you to flag warnings and errors that occur during the function execution. The following example logs an info message when the function...