Bas,
This is the contents of /proc/169/status (169 was the pid of python
running the pybench.py benchmark):
So, slightly over 4 megabytes of memory in use.
-Brett
/proc/169 # cat status
Name: python
State: R (running)
SleepAVG: 0%
Tgid: 169
Pid: 169
PPid: 157
TracerPid: 0
Uid: 0 0 0 0
Gid: 0 0 0 0
FDSize: 32
Groups:
VmPeak: 4340 kB
VmSize: 4340 kB
VmLck: 0 kB
VmHWM: 2692 kB
VmRSS: 2692 kB
VmData: 1820 kB
VmStk: 84 kB
VmExe: 668 kB
VmLib: 1156 kB
VmPTE: 8 kB
Threads: 1
SigQ: 0/512
SigPnd: 0000000000000000
ShdPnd: 0000000000000000
SigBlk: 0000000080000000
SigIgn: 0000000001001000
SigCgt: 0000000380000002
CapInh: 0000000000000000
CapPrm: 00000000fffffeff
CapEff: 00000000fffffeff
/proc/169 #
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