🤖 Format .jl files

Author: abelsiqueira

src/nlp.jl

@@ -355,8 +355,8 @@ function NLPModels.jth_hess_coord!(
   increment!(nlp, :neval_jhess)
   Hx = hessian(nlp.adbackend, x -> nlp.c(x)[j], x)
   k = 1
-  for j = 1 : nlp.meta.nvar
-    for i = j : nlp.meta.nvar
+  for j = 1:(nlp.meta.nvar)
+    for i = j:(nlp.meta.nvar)
       vals[k] = Hx[i, j]
       k += 1
     end

src/nls.jl

@@ -476,16 +476,16 @@ function NLPModels.jth_hess_coord!(
   nls::ADNLSModel,
   x::AbstractVector,
   j::Integer,
-  vals::AbstractVector
+  vals::AbstractVector,
 )
   @lencheck nls.meta.nnzh vals
   @lencheck nls.meta.nvar x
   @rangecheck 1 nls.meta.ncon j
   increment!(nls, :neval_jhess)
   Hx = hessian(nls.adbackend, x -> nls.c(x)[j], x)
   k = 1
-  for j = 1 : nls.meta.nvar
-    for i = j : nls.meta.nvar
+  for j = 1:(nls.meta.nvar)
+    for i = j:(nls.meta.nvar)
       vals[k] = Hx[i, j]
       k += 1
     end
@@ -498,7 +498,7 @@ function NLPModels.jth_hprod!(
   x::AbstractVector,
   v::AbstractVector,
   j::Integer,
-  Hv::AbstractVector
+  Hv::AbstractVector,
 )
   @lencheck nls.meta.nvar x v Hv
   @rangecheck 1 nls.meta.ncon j