Update DiffEqBase requirement from 6 to 6, 7.0 in the all-julia-packages group across 1 directory#292
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Updates the requirements on [DiffEqBase](https://github.com/SciML/OrdinaryDiffEq.jl) to permit the latest version. Updates `DiffEqBase` to 7.0.0 - [Release notes](https://github.com/SciML/OrdinaryDiffEq.jl/releases) - [Changelog](https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md) - [Commits](https://github.com/SciML/OrdinaryDiffEq.jl/commits) --- updated-dependencies: - dependency-name: DiffEqBase dependency-version: 7.0.0 dependency-type: direct:production dependency-group: all-julia-packages ... Signed-off-by: dependabot[bot] <support@github.com>
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RecursiveArrayTools v4 makes `AbstractVectorOfArray <: AbstractArray`, which changes the semantics of several operations on `ODESolution`, `DAESolution`, and `EnsembleSolution`: - `length(sol)` is now `prod(size(sol))` (total scalar count) rather than the number of timesteps. Replaced with `length(sol.u)` in the timestep-counting loops in `L2Loss` and in the ensemble retcode check in `LogLikeLoss`. - Iterating `sol` on an `AbstractEnsembleSolution` now yields scalar elements, not trajectories. Replaced `for s in sol` with `for s in sol.u` in both `LogLikeLoss(::AbstractEnsembleSolution)` and the `AbstractSciMLSolution` fallback branch. - For the steady-state `AbstractNoTimeSolution` path, moved to iterating `sol.u` (the final-state vector) explicitly rather than via `length(sol)` / `sol[i]`, which are now scalar AbstractArray operations on v4. 2-argument indexing `sol[j, i]` is unchanged: on both RAT v3 and v4 it resolves to `sol.u[i][j]` (component j at timestep i), so the interior loops do not need to change. Widen `Project.toml` compat: - `DiffEqBase = "6, 7"` (was "6") - `SciMLBase = "1.69, 2, 3"` (was "1.69, 2, 3.1") - Bump package version to 2.5.0. Test-suite fix: `result.minimizer` on a SciMLBase `OptimizationSolution` was removed in v3; replaced with `result.u` in `regularization_test.jl`. Other `result.minimizer` references in the test suite come from `Optim.optimize(...)` (not `solve(optprob, ...)`), which still returns an `Optim.OptimizationResults` with `.minimizer` and is unaffected. Supersedes and extends Dependabot PR #292, which only widened the `DiffEqBase` compat without the accompanying code migration. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
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Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting |
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Looks like DiffEqBase is no longer updatable, so this is no longer needed. |
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Updates the requirements on DiffEqBase to permit the latest version.
Updates
DiffEqBaseto 7.0.0Changelog
Sourced from DiffEqBase's changelog.
... (truncated)
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