On Wed, 14 Oct 2020 at 19:12, Ivan Pozdeev via Python-Dev
wrote:
>
>
> On 14.10.2020 17:04, M.-A. Lemburg wrote:
> > On 14.10.2020 16:00, Pablo Galindo Salgado wrote:
> >>> Would it be possible to get the data for older runs back, so that
> >> it's easier to find the changes which caused the
On 14.10.2020 17:04, M.-A. Lemburg wrote:
On 14.10.2020 16:00, Pablo Galindo Salgado wrote:
Would it be possible to get the data for older runs back, so that
it's easier to find the changes which caused the slowdown ?
Unfortunately no. The reasons are that that data was misleading because
> Would it be possible rerun the tests with the current
setup for say the last 1000 revisions or perhaps a subset of these
(e.g. every 10th revision) to try to binary search for the revision which
introduced the change ?
Every run takes 1-2 h so doing 1000 would be certainly time-consuming :)
Le 14/10/2020 à 15:16, Pablo Galindo Salgado a écrit :
> Hi!
>
> I have updated the branch benchmarks in the pyperformance server and now
> they include 3.9. There are
> some benchmarks that are faster but on the other hand some benchmarks
> are substantially slower, pointing
> at a possible
On 14.10.2020 16:00, Pablo Galindo Salgado wrote:
>> Would it be possible to get the data for older runs back, so that
> it's easier to find the changes which caused the slowdown ?
>
> Unfortunately no. The reasons are that that data was misleading because
> different points were computed with a
Hi Pablo,
thanks for pointing this out.
Would it be possible to get the data for older runs back, so that
it's easier to find the changes which caused the slowdown ?
Going to the timeline, it seems that the system only has data
for Oct 14 (today):
> Would it be possible to get the data for older runs back, so that
it's easier to find the changes which caused the slowdown ?
Unfortunately no. The reasons are that that data was misleading because
different points were computed with a different version of pyperformance
and therefore with
> The performance figures in the Python 3.9 "What's New"
Those are also micro-benchmarks, which can have no effect at all on
macro-benchmarks. The ones I am
linking are almost all macro-benchmarks, so, unfortunately, the ones
in Python 3.9 "What's New" are
not lying and they seem to be correlated
The performance figures in the Python 3.9 "What's New" (here -
https://docs.python.org/3/whatsnew/3.9.html#optimizations) did look
oddly like a lot of things went slower, to me. I assumed I'd misread
the figures, and moved on, but maybe I was wrong to do so...
Paul
On Wed, 14 Oct 2020 at 14:17,
