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Linux/tools/testing/selftests/damon/damos_apply_interval.py

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  1 #!/usr/bin/env python3
  2 # SPDX-License-Identifier: GPL-2.0
  3 
  4 import subprocess
  5 import time
  6 
  7 import _damon_sysfs
  8 
  9 def main():
 10     # access two 10 MiB memory regions, 2 second per each
 11     sz_region = 10 * 1024 * 1024
 12     proc = subprocess.Popen(['./access_memory', '2', '%d' % sz_region, '2000'])
 13 
 14     # Set quota up to 1 MiB per 100 ms
 15     kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
 16             contexts=[_damon_sysfs.DamonCtx(
 17                 ops='vaddr',
 18                 targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
 19                 schemes=[
 20                     _damon_sysfs.Damos(
 21                         access_pattern=_damon_sysfs.DamosAccessPattern(
 22                             # >= 25% access rate, >= 200ms age
 23                             nr_accesses=[5, 20], age=[2, 2**64 - 1]),
 24                         # aggregation interval (100 ms) is used
 25                         apply_interval_us=0),
 26                     # use 10ms apply interval
 27                     _damon_sysfs.Damos(
 28                         access_pattern=_damon_sysfs.DamosAccessPattern(
 29                             # >= 25% access rate, >= 200ms age
 30                             nr_accesses=[5, 20], age=[2, 2**64 - 1]),
 31                         # explicitly set 10 ms apply interval
 32                         apply_interval_us=10 * 1000)
 33                     ] # schemes
 34                 )] # contexts
 35             )]) # kdamonds
 36 
 37     err = kdamonds.start()
 38     if err != None:
 39         print('kdamond start failed: %s' % err)
 40         exit(1)
 41 
 42     wss_collected = []
 43     nr_quota_exceeds = 0
 44     while proc.poll() == None:
 45         time.sleep(0.1)
 46         err = kdamonds.kdamonds[0].update_schemes_stats()
 47         if err != None:
 48             print('stats update failed: %s' % err)
 49             exit(1)
 50     schemes = kdamonds.kdamonds[0].contexts[0].schemes
 51     nr_tried_stats = [s.stats.nr_tried for s in schemes]
 52     if nr_tried_stats[0] == 0 or nr_tried_stats[1] == 0:
 53         print('scheme(s) are not tried')
 54         exit(1)
 55 
 56     # Because the second scheme was having the apply interval that is ten times
 57     # lower than that of the first scheme, the second scheme should be tried
 58     # about ten times more frequently than the first scheme.  For possible
 59     # timing errors, check if it was at least nine times more freuqnetly tried.
 60     ratio = nr_tried_stats[1] / nr_tried_stats[0]
 61     if ratio < 9:
 62         print('%d / %d = %f (< 9)' %
 63               (nr_tried_stats[1], nr_tried_stats[0], ratio))
 64         exit(1)
 65 
 66 if __name__ == '__main__':
 67     main()

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