cfbolz changed the topic of #pypy to: PyPy, the flexible snake (IRC logs: https://botbot.me/freenode/pypy/ ) | use cffi for calling C | the secret reason for us trying to get PyPy users: to test the JIT well enough that we're somewhat confident about it
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<kenaan>
mattip default 17235f220103 /pypy/module/cpyext/api.py: move include before declaration
<kenaan>
mattip py3.5 d52c3dff08d6 /pypy/module/cpyext/api.py: merge default into branch
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<antocuni>
it makes it possible to control the gc manually
<antocuni>
when you call gc.disable(), it stops doing major collections
<antocuni>
but you can call gc.collect_step(), to run a step manually
<cfbolz>
ah, that's for when you need GC to run at specific points?
<antocuni>
yes; we use it for two reasons
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<antocuni>
1) there are critical regions in which we want the minimum possible latency
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<antocuni>
2) by default, when the GC starts a major collection, it runs a step at the end of every minor collection until it's done
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<antocuni>
but this means that the GC activity is all concentrated in a short span of time
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<antocuni>
by using this branch, I can run a greenlet which spreads the GC activity over a larger period of time, to avoid bursts
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<cfbolz>
interesting
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<xorAxAx>
antocuni, would an automatic spreading mode make sense as well? i.e. "if i am stepping here for 10 ms, defer next step"?
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<antocuni>
xorAxAx: yes, but it's much easier to play with different strategies at applevel than writing them in RPython
<antocuni>
now I want to play with another idea: instead of letting the GC to automatically decide how long each step should be, I'd like to be able to call something like gc.collect_step(max_duration=0.01)
<antocuni>
of course this is potentially dangerous because if I allocate faster than the GC can collect, there is an apparent leak
<xorAxAx>
yeah. do you know how much unscanned allocations you have after each step? in that case, you could force GC steps in certain cases and print a warning :-)
<antocuni>
I suppose that in theory it is possible to know what is the percentage of the scanned memory (for the marking phase)
<xorAxAx>
why only in theory?
<xorAxAx>
because you dont have the metric at applevel?
<antocuni>
because I don't remember the details right now :)
<antocuni>
but yes, I don't think they are exposed to applevel right now; it's probably not too hard to add them, though
<xorAxAx>
pypy goes realtime, cool
<antocuni>
well... "real" time, for some definition of real
<xorAxAx>
thats considered soft real time AFAIK
<antocuni>
there is still the JIT, though
<xorAxAx>
true
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<glyph>
speaking as someone who has had some very sad pypy experiences around interactive performance, that user-space gc tuning branch sounds awesome
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