Hi Simon, * Simon Josefsson <si...@josefsson.org> [2025-03-07 18:17]:
It is not explicitly recorded, but I can deduce it from the data, as I have the name of the .changes file and can take everything before the first underscore (_) as source package name.Is it possible from your data sources to filter these two cases apart?
For the sake of simplicity, I did not split the dataset into monthly chunks. Instead, I binned the processing times by four mutually exclusive outcomes. So, without further ado, these are the percentiles for all uploads to NEW from September 2012 [1] until January 2025:
33743 ACCEPTs
50% - 4 days, 18:10:30
90% - 42 days, 3:26:44
98% - 106 days, 12:47:56
24443 ACCEPTs (binNEW)
50% - 2 days, 1:25:25
90% - 13 days, 23:44:49
98% - 67 days, 23:07:27
6318 REJECTs
50% - 8 days, 4:03:34
90% - 98 days, 16:03:15
98% - 267 days, 4:23:37
1712 REJECTs (binNEW)
50% - 21:28:34
90% - 43 days, 0:35:03
98% - 173 days, 1:30:30
I'm pretty sure that you can fit exponential probability distributions
on these, but that is work for another day.
Cheers Timo[1] In case you are wondering what the significance of that date is, it is when the dak log files changed to the current format, and I was too lazy to implement parsing support for the older ones. It also means there are a few false negatives for my detection of binNEW uploads, but I doubt it changes the results by much.
-- ⢀⣴⠾⠻⢶⣦⠀ ╭────────────────────────────────────────────────────╮ ⣾⠁⢠⠒⠀⣿⡁ │ Timo Röhling │ ⢿⡄⠘⠷⠚⠋⠀ │ 9B03 EBB9 8300 DF97 C2B1 23BF CC8C 6BDD 1403 F4CA │ ⠈⠳⣄⠀⠀⠀⠀ ╰────────────────────────────────────────────────────╯
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