带有/usr/bin/time 的 Python 子进程:如何捕获计时信息,但忽略所有其他输出? [英] Python subprocess with /usr/bin/time: How can I capture timing information, but ignore all other output?
问题描述
我正在尝试测量通过子进程调用的可执行程序的执行时间(以秒为单位).我不希望发出可执行文件(stderr 或 stdout)的输出.
I am trying to measure the execution time in seconds of an executable program invoked via subprocess. I do not want the output of the executable (either stderr or stdout) to be emitted.
尝试过timeit和resource库,都没有准确的捕捉到进程的时间,貌似只能捕捉到Python工作线程中的时间.
I have tried the timeit and resource libraries, but neither accurately captures the time of the process, seemingly it only captures the timing in the Python worker thread.
下面的这种尝试将丢失 stderr 重定向的时间信息 b/c.但是,没有 stderr 重定向,将发出命令 'f_cmd' stderr 输出.
This attempt below will lose the timing info b/c of the stderr redirect. However, w/o the stderr redirect, the command 'f_cmd' stderr output will be emitted.
def doWithTiming(f_cmd):
DEVNULL = open(os.devnull, 'w')
return subprocess.check_output([ "/usr/bin/time", "--format=%e seconds"] + f_cmd.split(), stderr=DEVNULL)
如何忽略 f_cmd 的所有输出但保留/usr/bin/time 的输出?
How do I ignore all output of f_cmd but retain the output of /usr/bin/time?
推荐答案
进程使用的实际(挂钟)时间,以秒为单位.
Elapsed real (wall clock) time used by the process, in seconds.
使用抑制的 stdout/stderr 运行子进程并获取经过的时间:
To run a subprocess with suppressed stdout/stderr and get the elapsed time:
#!/usr/bin/env python
import os
import time
from subprocess import check_call, STDOUT
DEVNULL = open(os.devnull, 'wb', 0)
start = time.time()
check_call(['sleep', '1'], stdout=DEVNULL, stderr=STDOUT)
print("{:.3f} seconds".format(time.time() - start))
<小时>
timeit.default_timer
在 Python 2 上的 POSIX 上是 time.time
因此你应该有一个有效的时间,除非你对 timeit
的使用是不正确.
timeit.default_timer
is time.time
on POSIX on Python 2 therefore you should have got a valid time unless your usage of timeit
is incorrect.
resource
模块返回的信息不包括真实"时间,但您可以使用它来获取用户"和系统"时间,即,进程在用户模式下花费的 CPU 秒总数." 和进程在内核模式下花费的 CPU 秒总数." 相应地:>
The information returned by resource
module does not include the "real" time, but you could use it to get "user" and "sys" times i.e., "Total number of CPU-seconds that the process spent in user mode." and "Total number of CPU-seconds that the process spent in kernel mode." correspondingly:
#!/usr/bin/env python
import os
import time
from subprocess import Popen, STDOUT
DEVNULL = open(os.devnull, 'wb', 0)
start = time.time()
p = Popen(['sleep', '1'], stdout=DEVNULL, stderr=STDOUT)
ru = os.wait4(p.pid, 0)[2]
elapsed = time.time() - start
print(" {:.3f}real {:.3f}user {:.3f}system".format(
elapsed, ru.ru_utime, ru.ru_stime))
<小时>
您可以使用 psutil.Popen
启动子进程,并在子进程运行时获取附加信息(cpu、内存、网络连接、线程、fds、子进程、等)以便携的方式.
You could start a subprocess using psutil.Popen
and get while the child process is running additional info (cpu, memory, network connections, threads, fds, children, etc) in a portable way.
另请参阅如何在 Python 中使用 psutil 获取程序的最大内存使用量.
为了测试(以确保基于 time.time()
的解决方案产生相同的结果),您可以捕获 /usr/bin/time
输出:
For testing (to make sure that time.time()
-based solution produces the same results), you could capture /usr/bin/time
output:
#!/usr/bin/env python
import os
from collections import deque
from subprocess import Popen, PIPE
DEVNULL = open(os.devnull, 'wb', 0)
time_lines_count = 1 # how many lines /usr/bin/time produces
p = Popen(['/usr/bin/time', '--format=%e seconds'] +
['sleep', '1'], stdout=DEVNULL, stderr=PIPE)
with p.stderr:
q = deque(iter(p.stderr.readline, b''), maxlen=time_lines_count)
rc = p.wait()
print(b''.join(q).decode().strip())
或者使用带有命名管道的 -o
选项:
Or using -o
option with a named pipe:
#!/usr/bin/env python
import os
from contextlib import contextmanager
from shutil import rmtree
from subprocess import Popen, STDOUT
from tempfile import mkdtemp
DEVNULL = open(os.devnull, 'wb', 0)
@contextmanager
def named_pipe():
dirname = mkdtemp()
try:
path = os.path.join(dirname, 'named_pipe')
os.mkfifo(path)
yield path
finally:
rmtree(dirname)
with named_pipe() as path:
p = Popen(['/usr/bin/time', '--format=%e seconds', '-o', path] +
['sleep', '1'], stdout=DEVNULL, stderr=STDOUT)
with open(path) as file:
time_output = file.read().strip()
rc = p.wait()
print(time_output)
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