Downstream updates tracker for v1.0

[gdalle]

Which dependents must we upgrade to use ADTypes v1.0?
Listed by topological order below:

• SciMLBase:
  • Add ADTypes 1.0 compat SciMLBase.jl#674
• OptimizationBase:
  • Current state not compatible with ADTypes v1 despite compat bounds OptimizationBase.jl#44
• Optimization:
  • nothing for now
• SparseDiffTools:
  • Upgrade ADTypes to v1 JuliaDiff/SparseDiffTools.jl#295
  • Re-add Julia 1.6 compat for the time being JuliaDiff/SparseDiffTools.jl#296
  • still need to translate the old sparsity detection + coloring interface
• SimpleNonlinearSolve:
  • Force ADTypes v1 SimpleNonlinearSolve.jl#143
• NonlinearSolve:
  • Upgrade to ADTypes v1 NonlinearSolve.jl#426
• Symbolics:
  • Add ADTypes sparsity detector JuliaSymbolics/Symbolics.jl#1134
• OrdinaryDiffEq:
  • nothing for now
• SciMLSensitivity:
  • nothing for now

I only tick the ones for which ADTypes v0.2 is no longer in the compat bound (see my comment below)

[ChrisRackauckas]

• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) JuliaDiff/SparseDiffTools.jl#294
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) Optimization.jl#738
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) DiffEqFlux.jl#918
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) OptimizationBase.jl#37
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) SimpleNonlinearSolve.jl#140
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) NonlinearSolve.jl#412
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) SciMLSensitivity.jl#1044
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) OrdinaryDiffEq.jl#2172
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) DeepEquilibriumNetworks.jl#150
• CompatHelper: bump compat for ADTypes to 1, (keep existing compat) BoundaryValueDiffEq.jl#181

[gdalle]

Is it Christmas already?

[ChrisRackauckas]

No, it's a Monday. That the list that needs work to update 😅

[gdalle]

For most of those, the huge breaking change will be bumping Julia compat up to 1.10. If that is accepted, the rest is a bunch of renamings that I can try to contribute little by little

[gdalle]

Since I'm not a member of SciML, I can only create new PRs, not update those from CompatHelper though

[ChrisRackauckas]

Most should already be bumped to v1.10.

[gdalle]

I'm trying to do one of the harder upgrades with SciML/NonlinearSolve.jl#426

Can someone make me a member of the NonlinearSolve repo, so that CI runs automatically on my commits? It's rather tedious to wait for maintainer approval.
If you want I can also join the SciML organization if it makes things easier.

@avik-pal @Vaibhavdixit02 @ChrisRackauckas

[gdalle]

The CompatHelper PRs that were merged don't force ADTypes v1, since they still allow v0.2.
As a result, most of them don't change anything, and ADTypes v0.2 is still the version picked by CI.

I think the right approach is to force ADTypes v1, so that we can see whether it breaks stuff or not. That's what I did in SparseDiffTools and NonlinearSolve.

However, a first step is to allow ADTypes non-exclusively everywhere so that downstream tests may run

[ChrisRackauckas]

Most cases have very small usage of ADTypes. NonlinearSolve, SparseDiffTools, and BoundaryValueDiffEq are the three that require a deeper dive.