🤖 Format .jl files (#222)

Co-authored-by: tmigot <[email protected]>

Author: github-actions[bot]

test/test_linesearch.jl

@@ -57,7 +57,8 @@ function test_armijo_wolfe(::Type{S}) where {S}
   @test nbk > 0
   @test nbW == 0
 
-  nlp = ADNLPModel(x -> (x[1] - 1)^2 + 4 * (x[2] - x[1]^2)^2, fill!(S(undef, 2), 0), matrix_free = true)
+  nlp =
+    ADNLPModel(x -> (x[1] - 1)^2 + 4 * (x[2] - x[1]^2)^2, fill!(S(undef, 2), 0), matrix_free = true)
   d = S([1.7; 3.2])
   lm = LineModel(nlp, nlp.meta.x0, d)
   t, good_grad, ft, nbk, nbW = armijo_wolfe(lm, obj(lm, t0), grad(lm, t0), g)
@@ -104,14 +105,8 @@ function test_armijo_goldstein2(::Type{S}) where {S}
   @test nbk == 4
   @test nbG == 10
 
-  t, ft, nbk, nbG = armijo_goldstein(
-    lm,
-    obj(lm, t0),
-    grad(lm, t0);
-    t = T(0.001),
-    τ₀ = T(0.1),
-    τ₁ = T(0.2),
-  )
+  t, ft, nbk, nbG =
+    armijo_goldstein(lm, obj(lm, t0), grad(lm, t0); t = T(0.001), τ₀ = T(0.1), τ₁ = T(0.2))
   @test t < 1.0
   @test nbk == 2
   @test nbG == 10

test/test_trust_region.jl

@@ -54,19 +54,34 @@ end
 @testset "Trust Region" begin
   S = Vector{Float64}
   @testset "aredpred-$(nlp.meta.name) - $S - $TRSolver" for nlp in (
-    ADNLPModel(x -> x[1]^2 + 4 * x[2]^2, fill!(S(undef, 2), 1), name = "NLP", matrix_free = true),
-    ADNLSModel(x -> [x[1]; 2 * x[2]], fill!(S(undef, 2), 1), 2, name = "NLS", matrix_free = true),
-  ), TRSolver in (TrustRegion, TRONTrustRegion)
+      ADNLPModel(x -> x[1]^2 + 4 * x[2]^2, fill!(S(undef, 2), 1), name = "NLP", matrix_free = true),
+      ADNLSModel(x -> [x[1]; 2 * x[2]], fill!(S(undef, 2), 1), 2, name = "NLS", matrix_free = true),
+    ),
+    TRSolver in (TrustRegion, TRONTrustRegion)
+
     test_aredpred(nlp, TRSolver, S)
   end
 
   if CUDA.functional()
     CUDA.allowscalar() do
       S = CuVector{Float64}
       @testset "aredpred-$(nlp.meta.name) - $S - $TRSolver" for nlp in (
-        ADNLPModel(x -> x[1]^2 + 4 * x[2]^2, fill!(S(undef, 2), 1), name = "NLP", matrix_free = true),
-        ADNLSModel(x -> [x[1]; 2 * x[2]], fill!(S(undef, 2), 1), 2, name = "NLS", matrix_free = true),
-      ), TRSolver in (TrustRegion, TRONTrustRegion)
+          ADNLPModel(
+            x -> x[1]^2 + 4 * x[2]^2,
+            fill!(S(undef, 2), 1),
+            name = "NLP",
+            matrix_free = true,
+          ),
+          ADNLSModel(
+            x -> [x[1]; 2 * x[2]],
+            fill!(S(undef, 2), 1),
+            2,
+            name = "NLS",
+            matrix_free = true,
+          ),
+        ),
+        TRSolver in (TrustRegion, TRONTrustRegion)
+
         test_aredpred(nlp, TRSolver, S)
       end
     end