接着，让我们先用传统的asyncio方式调用30次这个任务作为基准：asyncdefmain():start=time.monotonic()ta...
Documentation I was trying to figure out the distinction between perf_counter and monotonic, and it's not entirely clear to me, even after reading PEP 418. I think it is monotonic, but I'm not sure. So I'm invoking the Python gods here: ...
参考官方链接: https://docs.python.org/3/library/time.html#time.monotonicprint(time.time())# 1505208085.507097start_time = time.monotonic()print(start_time)# 134338.997950387time.sleep(1) end_time = time.monotonic()print(end_time)# 134340.001831899print(end_time - start_time)# 1.0038815119769424 ...
time.sleep(3)defoutter(func):#func=最原始那个index的内存地址defwrapper(): start=time.time() func()#最原始的那个index的内存地址()stop=time.time()print('run time is %s'%(stop -start))returnwrapper index=outter(index)#index=outter(最原始那个index的内存地址) #index=wrapper的内存地址index()...
python程序运行时间ms,>>>fromtimeimporttime,monotonic,perf_counter>>>time()1633249386.5061808>>>monotonic()4594.25>>>perf_counter()613.323613>>>区别二:处理进程、线程时间的不受sle
让我们先用传统的asyncio方式调用30次这个任务作为基准：asyncdefmain():start=time.monotonic()tasks=[...
test_numeric_tower.py test_opcache.py test_opcodes.py test_openpty.py test_operator.py test_optimizer.py test_optparse.py test_ordered_dict.py test_os.py test_osx_env.py test_patma.py test_pdb.py test_peepholer.py test_pep646_syntax.py test_perf_profiler.py test_perfmaps.py...