Eric Hanson

We could take top 3 results maybe? But that’s not ideal- if we have say a 3 or 4 letter package, there might be many packages one substitution away, so...

I don't think we have a weighted Levenshtein (or even better, Damerau-Levenshtein) in Julia, so we'd still need to write that if we wanted that algorithm, but at least it...

> Of course, right now there is no official way to specify a Julia version in a Manifest.toml Just to say, Pkg in Julia 1.7+ already does this! See https://github.com/JuliaLang/Pkg.jl/pull/2561...

Relatedly, Convex.jl uses a lot of extended formulations which are similar to bridges in many ways, and I experimented with a bunch of "vector affine function" representations in https://github.com/jump-dev/Convex.jl/pull/393. Looking...

@femtomc pointed out this could be related to #1314 (I believe the issue did occur with CUDA in a sysimage)

I saw this has a "good first issue" tag- any hints as to how to do this?

No, I think it’s a RegistryCI issue, since the confusing wording is in the automerge message

Whoops, I mixed it up with the automerge comment. Agreed that it’s better for these to be just in one place, ie in the automerge message(except for errors where it’s...

This would also fix the compat issue of https://github.com/JuliaML/MLDataUtils.jl/pull/59

> It seems that you do not test QP problems directly. Is that because it is run through Convex.jl, which would reformulate QPs to SOCPs anyway? Yeah, the Convex problems...