[image] New Julia LTS? Are many using the current (Julia 1.6) LTS? Out of curiosity, why do you want new versions of packages with old versions of Julia? Totally agree that it’s not common, but: [image] New Julia LTS? Are many using the current (Julia 1.6) LTS? Julia is much more stable th…

Actual examples. I can’t think of a case where the package was targeting the public interface; I’m not saying it has never happened, but I can’t think of a single case. In contrast, I can think of lots of cases where packages broke each other. Heck, a couple of us fixed one in just the last 24 hours…

1.9 is a bit of a special case, and nightly/master doesn’t count at all, because they are not actually released yet. I don’t know the specifics of the SortingAlgorithms breakage. Is it Add comment to broken test and fix it by using Base.Sort.InitialOptimizations by LilithHafner · Pull Request #70 · …

It is fair to say that 1.9.0 cannot — by definition — break anything because it is not released yet, and that if you know of such a breakage that you should report it as a new issue immediately so we can address it in the rapidly progressing 1.9.0 final release. But I imagine the SortingAlgorithms …

[image] Elrod: FWIW, this example is because of one package relying on another’s internals gratuitously. But packages do that a lot. Isn’t that called type piracy, and packages shouldn’t do that in the ecosystem, no more than rely on internals in Base? And the opposite is encapsulation, what…

[image] mbauman: Yes, if you (or some package) have SortingAlgorithms pinned to v1.0 or prior, it won’t work with Julia v1.9. This is an avoidable situation if packages correctly specify their compat bounds. Version 1.0 of SortingAlgorithms should have had a compat similar to this: [compat] …

[image] CameronBieganek: Version 1.0 of SortingAlgorithms should have had a compat similar to this: [compat] julia = "1.0.0 - 1.8.5" DataFrames should do the same, since they also rely on undocumented Base internals. Is that really helpful? Practically the effect is the same: SortingAlgorit…

The issue with XGBoost.jl and LIBSVM.jl breaking within the Julia 1.8 series is very unfortunate. [image] Issue with XGBoost.jl and LIBSVM.jl when Julia 1.8.4 General Usage Dear all I am using XGBoost.jl v2.2.0 and LIBSVM.jl v0.8.0, under Windows 11. It work…

[image] mbauman: Is that really helpful? Practically the effect is the same: SortingAlgorithms v1.0 cannot load on Julia v1.9. Imagine I have a Project.toml file with the following compat section, and I’m running Julia v1.9: [compat] julia = "1.9" SortingAlgorithms = "~1.0" The package mana…

The issue is that any package that uses using SomePackage instead of using SomePackage: foo actually needs to place a strict upper bound on SomePackage, because SomePackage could add a new function in a minor release that creates a namespace collision. Wow you have a fat point here! Noticing…

I found the Github docs PR regarding recommending using SomePackage: foo over using SomePackage. The PR is still open. recommend against `using Foo` in package code (or "using considered harmful") JuliaLang:master ← JuliaLang:kc/…

[image] CameronBieganek: Any package that uses Julia internals and has a Julia compat that looks like this, [compat] julia = "1.6" is using SemVer wrong. The compat should actually be like this, [compat] julia = "=1.6.7" because even a patch release of Julia could potentially break the packa…

Forward compatibility and stability of Julia vs. Packages

General Usage

mkitti April 26, 2023, 11:10pm 16

The issue with XGBoost.jl and LIBSVM.jl breaking within the Julia 1.8 series is very unfortunate.

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Forward compatibility and stability of Julia vs. Packages

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