🤖 Format .jl files (#271)

Co-authored-by: d-monnet <[email protected]>
JuliaSmoothOptimizers · Apr 13, 2024 · 9278021 · 9278021
1 parent 866492f
commit 9278021
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Showing 2 changed files with 7 additions and 4 deletions.
diff --git a/src/fomo.jl b/src/fomo.jl
@@ -300,7 +300,7 @@ function SolverCore.solve!(
   obj_mem = solver.o
   M = length(obj_mem)
   mem_ind = 0
-  obj_mem[mem_ind+1] = stats.objective
+  obj_mem[mem_ind + 1] = stats.objective
   max_obj_mem = stats.objective
 
   grad!(nlp, x, ∇fk)
@@ -392,8 +392,8 @@ function SolverCore.solve!(
         momentum .= ∇fk .* (oneT - β) .+ momentum .* β
       end
       set_objective!(stats, fck)
-      mem_ind = (mem_ind+1) % M
-      obj_mem[mem_ind+1] = stats.objective
+      mem_ind = (mem_ind + 1) % M
+      obj_mem[mem_ind + 1] = stats.objective
       max_obj_mem = maximum(obj_mem)
 
       grad!(nlp, x, ∇fk)

diff --git a/test/test_solvers.jl b/test/test_solvers.jl
@@ -17,7 +17,10 @@ function tests()
       @testset "$name : nonmonotone configuration" for (name, solver) in [
         ("R2", (nlp; kwargs...) -> R2(nlp, M = 2; kwargs...)),
         ("fomo_r2", (nlp; kwargs...) -> fomo(nlp, M = 2; kwargs...)),
-        ("fomo_tr", (nlp; kwargs...) -> fomo(nlp, M = 2, step_backend = JSOSolvers.tr_step(); kwargs...)),
+        (
+          "fomo_tr",
+          (nlp; kwargs...) -> fomo(nlp, M = 2, step_backend = JSOSolvers.tr_step(); kwargs...),
+        ),
       ]
         unconstrained_nlp(solver)
         multiprecision_nlp(solver, :unc)