blob: cdbf19b442c98f1ff6e4ed9577034852853fd60a [file] [log] [blame]
#!/usr/bin/env python3
# SPDX-License-Identifier: GPL-2.0
import subprocess
import time
import _damon_sysfs
def main():
# access two 10 MiB memory regions, 2 second per each
sz_region = 10 * 1024 * 1024
proc = subprocess.Popen(['./access_memory', '2', '%d' % sz_region, '2000'])
kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
contexts=[_damon_sysfs.DamonCtx(
ops='vaddr',
targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
schemes=[_damon_sysfs.Damos(
access_pattern=_damon_sysfs.DamosAccessPattern(
# >= 25% access rate, >= 200ms age
nr_accesses=[5, 20], age=[2, 2**64 - 1]))] # schemes
)] # contexts
)]) # kdamonds
err = kdamonds.start()
if err != None:
print('kdmaond start failed: %s' % err)
exit(1)
wss_collected = []
while proc.poll() == None:
time.sleep(0.1)
err = kdamonds.kdamonds[0].update_schemes_tried_bytes()
if err != None:
print('tried bytes update failed: %s' % err)
exit(1)
wss_collected.append(
kdamonds.kdamonds[0].contexts[0].schemes[0].tried_bytes)
wss_collected.sort()
acceptable_error_rate = 0.2
for percentile in [50, 75]:
sample = wss_collected[int(len(wss_collected) * percentile / 100)]
error_rate = abs(sample - sz_region) / sz_region
print('%d-th percentile (%d) error %f' %
(percentile, sample, error_rate))
if error_rate > acceptable_error_rate:
print('the error rate is not acceptable (> %f)' %
acceptable_error_rate)
print('samples are as below')
print('\n'.join(['%d' % wss for wss in wss_collected]))
exit(1)
if __name__ == '__main__':
main()