Skip to content

[AUTO] JuliaFormatter.jl run #339

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
dpo merged 1 commit into from
Sep 13, 2026
Merged

[AUTO] JuliaFormatter.jl run #339

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 1 addition & 4 deletions src/R2_alg.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -59,10 +59,7 @@ function R2Solver(
)
end

function R2Solver(
reg_nlp::AbstractRegularizedNLPModel{T, V};
m_monotone::Int = 6,
) where {T, V}
function R2Solver(reg_nlp::AbstractRegularizedNLPModel{T, V}; m_monotone::Int = 6) where {T, V}
x0 = reg_nlp.model.meta.x0
l_bound = reg_nlp.model.meta.lvar
u_bound = reg_nlp.model.meta.uvar
Expand Down
6 changes: 3 additions & 3 deletions test/runtests.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ const global bpdn, bpdn_nls, sol = bpdn_model(compound)
const global bpdn2, bpdn_nls2, sol2 = bpdn_model(compound, bounds = true)
const global λ = norm(grad(bpdn, zeros(bpdn.meta.nvar)), Inf) / 10

R2mono(nlp, h, options; kwargs...) = R2(nlp, h, options; m_monotone=1, kwargs...)
R2mono(nlp, h, options; kwargs...) = R2(nlp, h, options; m_monotone = 1, kwargs...)

include("test_AL.jl")

Expand Down Expand Up @@ -144,7 +144,7 @@ end

for (mod, mod_name) ∈ ((SpectralGradientModel, "spg"),)
for (h, h_name) ∈ ((NormL1(λ), "l1"),)
for solver_sym ∈ (:R2,:R2mono)
for solver_sym ∈ (:R2, :R2mono)
solver_name = string(solver_sym)
solver = eval(solver_sym)
@testset "bpdn-$(mod_name)-$(solver_name)-$(h_name)-callback" begin
Expand All @@ -154,7 +154,7 @@ for (mod, mod_name) ∈ ((SpectralGradientModel, "spg"),)
stats.status = :user
end
end
out = solver(mod(bpdn), h, options, x0 = x0, callback=cb)
out = solver(mod(bpdn), h, options, x0 = x0, callback = cb)
@test typeof(out.solution) == typeof(bpdn.meta.x0)
@test length(out.solution) == bpdn.meta.nvar
@test typeof(out.dual_feas) == eltype(out.solution)
Expand Down