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16 Oct 2025
@brian:bmcgee.ieBMGnot just for narinfos11:11:09
@brian:bmcgee.ieBMGactually I made a mistake11:11:47
@brian:bmcgee.ieBMGThat query is all objects, not just narinfos11:11:55
@raitobezarius:matrix.orgraitobezarius so I win 11:12:03
@brian:bmcgee.ieBMGLet me do a few separate queries here, be more careful11:12:07
@raitobezarius:matrix.orgraitobezariusBut basically the calculation is there's roughly 300k derivations per nixpkgs eval across the 4 architectures, there's 6 channels in parallel (some have common derivations, etc.), so it gives you ~1.8M upperbound over the 6 channels, given that the fast paced channels move every 1-2 days and the slow paced channels move — well — when they want, you can reasonably say there's some interpolation of 1.8M * 3 = ~5.4M derivations happening (and I said every month, but I should have said every 2 weeks or 3 weeks)11:14:39
@vcunat:matrix.orgvcunatWith this kind of computation it's easy to make 10x error in the totals.11:18:33
@brian:bmcgee.ieBMGimage.png
Download image.png
11:40:32
@brian:bmcgee.ieBMGThis is filtering for just narinfo11:40:41
@brian:bmcgee.ieBMGimage.png
Download image.png
11:42:12
@brian:bmcgee.ieBMGThis is filtering for '%.nar.%'11:42:20

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