Greg Kroah-Hartman
598cf27219
Link: https://lore.kernel.org/r/20260217200002.683975158@linuxfoundation.org Tested-by: Florian Fainelli <florian.fainelli@broadcom.com> Tested-by: Takeshi Ogasawara <takeshi.ogasawara@futuring-girl.com> Tested-by: Peter Schneider <pschneider1968@googlemail.com> Tested-by: Jon Hunter <jonathanh@nvidia.com> Tested-by: Salvatore Bonaccorso <carnil@debian.org> Tested-by: Brett A C Sheffield <bacs@librecast.net> Tested-by: Mark Brown <broonie@kernel.org> Tested-by: Luna Jernberg <droidbittin@gmail.com> Tested-by: Ronald Warsow <rwarsow@gmx.de> Tested-by: Justin M. Forbes <jforbes@fedoraproject.org> Tested-by: Ron Economos <re@w6rz.net> Tested-by: Miguel Ojeda <ojeda@kernel.org> Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
66 lines
2.0 KiB
Python
Executable File
66 lines
2.0 KiB
Python
Executable File
#!/usr/bin/env python3
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# SPDX-License-Identifier: GPL-2.0
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import subprocess
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import time
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import _damon_sysfs
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def main():
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# repeatedly access even-numbered ones in 14 regions of 10 MiB size
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sz_region = 10 * 1024 * 1024
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proc = subprocess.Popen(['./access_memory_even', '14', '%d' % sz_region])
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# stat every monitored regions
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kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
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contexts=[_damon_sysfs.DamonCtx(
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ops='vaddr',
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targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
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schemes=[_damon_sysfs.Damos(action='stat',
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)] # schemes
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)] # contexts
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)]) # kdamonds
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err = kdamonds.start()
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if err is not None:
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proc.terminate()
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print('kdamond start failed: %s' % err)
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exit(1)
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collected_nr_regions = []
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while proc.poll() is None:
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time.sleep(0.1)
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err = kdamonds.kdamonds[0].update_schemes_tried_regions()
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if err is not None:
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proc.terminate()
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print('tried regions update failed: %s' % err)
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exit(1)
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scheme = kdamonds.kdamonds[0].contexts[0].schemes[0]
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if scheme.tried_regions is None:
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proc.terminate()
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print('tried regions is not collected')
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exit(1)
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nr_tried_regions = len(scheme.tried_regions)
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if nr_tried_regions <= 0:
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proc.terminate()
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print('tried regions is not created')
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exit(1)
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collected_nr_regions.append(nr_tried_regions)
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if len(collected_nr_regions) > 10:
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break
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proc.terminate()
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collected_nr_regions.sort()
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sample = collected_nr_regions[4]
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print('50-th percentile nr_regions: %d' % sample)
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print('expectation (>= 14) is %s' % 'met' if sample >= 14 else 'not met')
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if collected_nr_regions[4] < 14:
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print('full nr_regions:')
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print('\n'.join(collected_nr_regions))
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exit(1)
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if __name__ == '__main__':
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main()
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