🤖 Format .jl files (#288)

Co-authored-by: tmigot <[email protected]>
JuliaSmoothOptimizers · Aug 6, 2024 · 725413c · 725413c
1 parent 71ee496
commit 725413c
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Showing 2 changed files with 24 additions and 13 deletions.
diff --git a/src/ad.jl b/src/ad.jl
@@ -300,11 +300,12 @@ function ADModelNLSBackend(
 
   JBLS = jacobian_residual_backend
   b = @elapsed begin
-    jacobian_residual_backend = if jacobian_residual_backend isa Union{AbstractNLPModel, ADBackend}
-      jacobian_residual_backend
-    else
-      JBLS(nvar, x -> zero(eltype(x)), nequ, F!; kwargs...)
-    end
+    jacobian_residual_backend =
+      if jacobian_residual_backend isa Union{AbstractNLPModel, ADBackend}
+        jacobian_residual_backend
+      else
+        JBLS(nvar, x -> zero(eltype(x)), nequ, F!; kwargs...)
+      end
   end
   show_time && println("jacobian_residual backend $JBLS: $b seconds;")
 
@@ -466,11 +467,12 @@ function ADModelNLSBackend(
 
   JBLS = jacobian_residual_backend
   b = @elapsed begin
-    jacobian_residual_backend = if jacobian_residual_backend isa Union{AbstractNLPModel, ADBackend}
-      jacobian_residual_backend
-    else
-      JBLS(nvar, x -> zero(eltype(x)), nequ, F!; kwargs...)
-    end
+    jacobian_residual_backend =
+      if jacobian_residual_backend isa Union{AbstractNLPModel, ADBackend}
+        jacobian_residual_backend
+      else
+        JBLS(nvar, x -> zero(eltype(x)), nequ, F!; kwargs...)
+      end
   end
   show_time && println("jacobian_residual backend $JBLS: $b seconds;")
 

diff --git a/test/manual.jl b/test/manual.jl
@@ -174,7 +174,11 @@ end
   lcon = ucon = zeros(1)
   adbackend = ADNLPModels.ADModelBackend(nvar, f, ncon, c!)
   nlp = ADNLPModel!(
-    f, x0, c!, lcon, ucon,
+    f,
+    x0,
+    c!,
+    lcon,
+    ucon,
     gradient_backend = adbackend.gradient_backend,
     hprod_backend = adbackend.hprod_backend,
     hessian_backend = adbackend.hessian_backend,
@@ -240,7 +244,12 @@ end
   x0 = zeros(nvar)
   adbackend = ADNLPModels.ADModelNLSBackend(nvar, F!, nequ, ncon, c!)
   nlp = ADNLSModel!(
-    F!, x0, nequ, c!, lcon, ucon,
+    F!,
+    x0,
+    nequ,
+    c!,
+    lcon,
+    ucon,
     gradient_backend = adbackend.gradient_backend,
     hprod_backend = adbackend.hprod_backend,
     hessian_backend = adbackend.hessian_backend,
@@ -255,4 +264,4 @@ end
     hessian_residual_backend = adbackend.hessian_residual_backend,
   )
   test_nlp_consistency(nlp, nlp; counters = false)
-end
+end