tools/testing/selftests/damon/damos_tried_regions.py

   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     # repeatedly access even-numbered ones in 14 regions of 10 MiB size
  11     sz_region = 10 * 1024 * 1024
  12     proc = subprocess.Popen(['./access_memory_even', '14', '%d' % sz_region])
  13
  14     # stat every monitored regions
  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=[_damon_sysfs.Damos(action='stat',
  20                     )] # schemes
  21                 )] # contexts
  22             )]) # kdamonds
  23
  24     err = kdamonds.start()
  25     if err is not None:
  26         proc.terminate()
  27         print('kdamond start failed: %s' % err)
  28         exit(1)
  29
  30     collected_nr_regions = []
  31     while proc.poll() is None:
  32         time.sleep(0.1)
  33         err = kdamonds.kdamonds[0].update_schemes_tried_regions()
  34         if err is not None:
  35             proc.terminate()
  36             print('tried regions update failed: %s' % err)
  37             exit(1)
  38
  39         scheme = kdamonds.kdamonds[0].contexts[0].schemes[0]
  40         if scheme.tried_regions is None:
  41             proc.terminate()
  42             print('tried regions is not collected')
  43             exit(1)
  44
  45         nr_tried_regions = len(scheme.tried_regions)
  46         if nr_tried_regions <= 0:
  47             proc.terminate()
  48             print('tried regions is not created')
  49             exit(1)
  50         collected_nr_regions.append(nr_tried_regions)
  51         if len(collected_nr_regions) > 10:
  52             break
  53     proc.terminate()
  54
  55     collected_nr_regions.sort()
  56     sample = collected_nr_regions[4]
  57     print('50-th percentile nr_regions: %d' % sample)
  58     print('expectation (>= 14) is %s' % 'met' if sample >= 14 else 'not met')
  59     if collected_nr_regions[4] < 14:
  60         print('full nr_regions:')
  61         print('\n'.join(collected_nr_regions))
  62         exit(1)
  63
  64 if __name__ == '__main__':
  65     main()