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[AUTO] JuliaFormatter.jl run #216

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Merged
merged 1 commit into from
Sep 18, 2025
Merged

[AUTO] JuliaFormatter.jl run #216

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12 changes: 10 additions & 2 deletions src/AL_alg.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -156,12 +156,20 @@ function ALSolver(reg_nlp::AbstractRegularizedNLPModel{T, V}; kwargs...) where {
y = V(undef, ncon)
has_bnds = has_bounds(nlp)
sub_model = AugLagModel(nlp, V(undef, ncon), T(0), x, T(0), V(undef, ncon))
sub_problem = RegularizedNLPModel(sub_model, reg_nlp.h,reg_nlp.selected)
sub_problem = RegularizedNLPModel(sub_model, reg_nlp.h, reg_nlp.selected)
sub_solver = R2Solver(reg_nlp; kwargs...)
sub_stats = RegularizedExecutionStats(sub_problem)
M = typeof(nlp)
ST = typeof(sub_solver)
return ALSolver{T, V, M, typeof(sub_problem), ST}(x, cx, y, has_bnds, sub_problem, sub_solver, sub_stats)
return ALSolver{T, V, M, typeof(sub_problem), ST}(
x,
cx,
y,
has_bnds,
sub_problem,
sub_solver,
sub_stats,
)
end

@doc (@doc ALSolver) function AL(::Val{:equ}, reg_nlp::AbstractRegularizedNLPModel; kwargs...)
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9 changes: 8 additions & 1 deletion test/runtests.jl
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@@ -1,7 +1,14 @@
using LinearAlgebra: length
using LinearAlgebra, Random, Test
using ProximalOperators
using ADNLPModels, OptimizationProblems, OptimizationProblems.ADNLPProblems, NLPModels, NLPModelsModifiers, RegularizedProblems, RegularizedOptimization, SolverCore
using ADNLPModels,
OptimizationProblems,
OptimizationProblems.ADNLPProblems,
NLPModels,
NLPModelsModifiers,
RegularizedProblems,
RegularizedOptimization,
SolverCore
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@dpo dpo Sep 18, 2025

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@MaxenceGollier @MohamedLaghdafHABIBOULLAH Please configure your formatter locally. These changes should already have been part of the PR.


const global compound = 1
const global nz = 10 * compound
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