1.引用计数法 注:类似于java,这个系统自动回收垃圾对象,明显有循环引用的弊端。 代码例子 import sys import psutil import os import gc print(gc.get_threshold()) def showMemSize(tag): pid=os.getpid() p=psutil.Process(pid) info=p.memory_full_info() memory=info.uss/1024/1024 print('{} memory...
importgcimportosimportpsutildefshow_memory_info(hint): pid = os.getpid() p = psutil.Process(pid) info = p.memory_full_info() memory = info.uss /1024/1024print(f'{hint}memory used:{memory}MB') show_memory_info('initial') a = [iforiinrange(10000000)] show_memory_info('after a c...
p = psutil.Process(pid) info = p.memory_full_info() MB = 1024 * 1024 memory = info.uss / MB print('%s used %d MB' % (name, memory)) # 测试函数 def foo(): print_memory_info("foo start") length = 1000 * 1000 list = [i for i in range(length)] print_memory_info("foo ...
info = p.memory_full_info() memory = info.uss / 1024./ 1024 print( {} memory used: {} MB .format(hint, memory)) def func(): show_memory_info( initial ) a = [i for i in range(10000000)] show_memory_info( after a created ) func() show_memory_info( finished ) ### 输出 ...
defshow_memory_info(hint):pid=os.getpid()p=psutil.Process(pid)info=p.memory_full_info()memory=info.uss/1024./1024print('{} memory used: {} MB'.format(hint,memory))deffunc():show_memory_info('initial')a=[iforiinrange(10000000)]show_memory_info('after a created')func()show_memory...
memory_full_info() 此方法返回与memory_info()相同的信息,同时,在某些平台(Linux,macOS,Windows)上,该方法还提供其他指标(USS,PSS和swap)。 pss: 该进程实际使用物理内存(比例分配共享库占用内存) uss:进程独立占用的物理内存(不包含共享库占用的内存) 根据这些内存信息我们就可以对Python程序进行更精准的优化调优...
psutil 是一个很方便的和系统交互的库,可以查看程序运行中的各种运行状态。 上面这个脚本可以方便的查看该程序的内存占用情况,其中 memory_full_info() 方...
highlight=memory_info#psutil.Process.memory_full_info Currently, the backend can be set via the CLI $ python -m memory_profiler --backend psutil my_script.py and is exposed by the API >>>frommemory_profilerimportmemory_usage>>>mem_usage=memory_usage(-1,interval=.2,timeout=1,backend="...
memory_full_info ( ) # Convert to MB memory = info . uss / 1024 / 1024 print ( ' Memory used: {:.2f} MB ' . format ( memory ) ) if memory > 40 : print ( ' Memory too big! Exiting. ' ) sys . exit ( ) time . sleep ( 1 ) ...
memory_full_info() # "real" USS memory usage (Linux, macOS, Win only) pfullmem(rss=10199040, vms=52133888, shared=3887104, text=2867200, lib=0, data=5967872, dirty=0, uss=6545408, pss=6872064, swap=0) >>> p.memory_percent() 0.7823 >>> p.memory_maps() [pmmap_grouped(path='/...