time.process_time() constant / erratic on Windows

[RedGlyph]

BPO	37859
Nosy	@pfmoore, @vstinner, @tjguk, @zware, @eryksun, @zooba

^{Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.}

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GitHub fields:

assignee = None
closed_at = <Date 2019-08-14.20:48:14.849>
created_at = <Date 2019-08-14.20:32:41.783>
labels = ['type-bug', '3.8', 'invalid', '3.7', 'library', 'OS-windows']
title = 'time.process_time() constant / erratic on Windows'
updated_at = <Date 2019-08-14.21:54:45.041>
user = 'https://bugs.python.org/RedGlyph'

bugs.python.org fields:

activity = <Date 2019-08-14.21:54:45.041>
actor = 'vstinner'
assignee = 'none'
closed = True
closed_date = <Date 2019-08-14.20:48:14.849>
closer = 'zach.ware'
components = ['Library (Lib)', 'Windows']
creation = <Date 2019-08-14.20:32:41.783>
creator = 'Red Glyph'
dependencies = []
files = []
hgrepos = []
issue_num = 37859
keywords = []
message_count = 6.0
messages = ['349745', '349746', '349748', '349759', '349762', '349763']
nosy_count = 7.0
nosy_names = ['paul.moore', 'vstinner', 'tim.golden', 'zach.ware', 'eryksun', 'steve.dower', 'Red Glyph']
pr_nums = []
priority = 'normal'
resolution = 'not a bug'
stage = 'resolved'
status = 'closed'
superseder = None
type = 'behavior'
url = 'https://bugs.python.org/issue37859'
versions = ['Python 3.7', 'Python 3.8']

[RedGlyph]

Tested with

• Python 3.7.4, 64-bit, Windows version (installer version)
• python-3.8.0b3-embed-amd64.zip
• python-3.7.2.post1-embed-amd64.zip
  on Windows 7 x64 Professional

time.process_time() always returns the same value. If I check the value of time.process_time_ns(), sometimes it is constant, sometimes I observe a few changes, then it becomes constant too.

Here is a log of an example session, I'm waiting at least 1-2 seconds between each command:

Python 3.7.4 (tags/v3.7.4:e09359112e, Jul  8 2019, 20:34:20) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>> import time
>>> time.process_time()
0.1092007
>>> time.process_time()
0.1092007
>>> time.process_time_ns()
109200700
>>> time.process_time_ns()
124800800
>>> time.process_time_ns()
124800800
>>> time.process_time()
0.1248008
>>> time.process_time()
0.1248008
>>> time.process_time()
0.1248008
>>> time.process_time_ns()
124800800
>>> time.process_time_ns()
124800800
>>> time.process_time_ns()
124800800
>>> time.process_time_ns()
124800800
>>> time.clock()

Warning (from warnings module):
  File "__main__", line 1
DeprecationWarning: time.clock has been deprecated in Python 3.3 and will be removed from Python 3.8: use time.perf_counter or time.process_time instead
77.006126126
>>> time.clock()
79.245575778
>>> time.clock()
80.801103036
>>> time.process_time()
0.1248008
>>>

[zware]

Try this:

while time.process_time() < 0.5:
    print('.', flush=True, end='')

Or:

>>> time.process_time()
0.03125
>>> len(str(2**500_000))
150515
>>> time.process_time()
0.484375

Basically, process_time() (and process_time_ns()) measure CPU time used by the process, and you aren't making the CPU do anything between your checks.

[RedGlyph]

I see that now. The behaviour was different in Linux, though, I suppose it may benefit from a more precise counter, but since in Windows it also has a precise counter with time.perf_counter_ns(), I was expecting to see that value change, but it was mainly a confusion with the older time.clock().

Thanks!

[eryksun]

I suppose it may benefit from a more precise counter, but since in
Windows it also has a precise counter with time.perf_counter_ns(),
I was expecting to see that value change, but it was mainly a
confusion with the older time.clock().

Don't read too much into the clock info here:

    >>> time.get_clock_info('process_time').resolution
    1e-07

Process times [1] are stored as a 64-bit integer in units of 100 ns (1e-7). But the kernel schedules threads based on a timer that ticks every 15.625 ms by default. It can be lowered to about 0.5 ms, but this degrades battery life.

[1] https://docs.microsoft.com/en-us/windows/win32/api/processthreadsapi/nf-processthreadsapi-getprocesstimes