Memory Control - Can you get the memory usage of the interpreter?

[Ian]

Thats great, thanks, and it seems to work.

Unfortunately, my client needs to run on windows and mac (osX) too. I'm
presuming osX is similar to linux: I'll need to have a play to see if I can
get it working.

Is there a windows friendly way to do it?

Ian.

"Jean Brouwers" <JBrouwersAtProphICyDotCom at no.spam.net> wrote in message
news:090720041815251751%JBrouwersAtProphICyDotCom at no.spam.net...
>
> Assuming you are using Linux, below is an example for the memory usage
> and stack size of the current process.  See the man page for proc for
> more details.
>
> /Jean Brouwers
>  ProphICy Semiconductor, Inc.
>
> <pre>
>
> import os
>
> _proc_status = '/proc/%d/status' % os.getpid()  # Linux only?
> _scale = {'kB': 1024.0, 'mB': 1024.0*1024.0,
>            'KB': 1024.0, 'MB': 1024.0*1024.0}
>
> def _VmB(VmKey):
>     global _scale
>     try: # get the /proc/<pid>/status pseudo file
>         t = open(_proc_status)
>         v = [v for v in t.readlines() if v.startswith(VmKey)]
>         t.close()
>          # convert Vm value to bytes
>         if len(v) == 1:
>            t = v[0].split()  # e.g. 'VmRSS:  9999  kB'
>            if len(t) == 3:  ## and t[0] == VmKey:
>                return float(t[1]) * _scale.get(t[2], 0.0)
>     except:
>         pass
>     return 0.0
>
> def memory(since=0.0):
>     '''Return process memory usage in bytes.
>     '''
>     return _VmB('VmSize:') - since
>
> def stacksize(since=0.0):
>     '''Return process stack size in bytes.
>     '''
>     return _VmB('VmStk:') - since
>
> </pre>
>
>
> In article <40ef2dc0$0$546$ed2619ec at ptn-nntp-reader02.plus.net>, Ian
> <info at fretfarm.co.uk> wrote:
>
> > Hi all,
> >
> > I have a problem. I have an application which needs to work with a lot
of
> > data, but not all at the same time. It is arranged as a set of objects,
each
> > with lots of data that is created when the object is instantiated.
> >
> > I'd ideally like to keep as many objects as possible in memory, but I
can
> > get rid of any object the program isn't currently using.
> >
> > Is there any way I can access the amount of memory python is using? I
can
> > then decide when to give up objects to the gc.
> >
> > I don't want to use weakref because the gc simply collects weakref'ed
stuff
> > whether memory is tight or not, and then I have to recreate it (which is
> > costly). I only have one internal consumer for the data, and it is only
> > working with one object at once, but may change to a different object at
any
> > time.
> >
> > Thanks in advance
> >
> > Ian.
> >
> >