🤖 Format .jl files (#506)

Co-authored-by: tmigot <tmigot@users.noreply.github.com>

Author: github-actions[bot]

src/nlp/api.jl

@@ -316,7 +316,10 @@ overwriting `vals`.
 """
 function jac_lin_coord! end
 
-@deprecate jac_lin_coord!(nlp::AbstractNLPModel, x::AbstractVector, vals::AbstractVector) jac_lin_coord!(nlp, vals)
+@deprecate jac_lin_coord!(nlp::AbstractNLPModel, x::AbstractVector, vals::AbstractVector) jac_lin_coord!(
+  nlp,
+  vals,
+)
 
 """
     vals = jac_lin_coord(nlp)
@@ -451,7 +454,12 @@ Evaluate ``J(x)v``, the linear Jacobian-vector product at `x` in place.
 function jprod_lin! end
 
 @deprecate jprod_lin(nlp::AbstractNLPModel, x::AbstractVector, v::AbstractVector) jprod_lin(nlp, v)
-@deprecate jprod_lin!(nlp::AbstractNLPModel, x::AbstractVector, v::AbstractVector, Jv::AbstractVector) jprod_lin!(nlp, v, Jv)
+@deprecate jprod_lin!(
+  nlp::AbstractNLPModel,
+  x::AbstractVector,
+  v::AbstractVector,
+  Jv::AbstractVector,
+) jprod_lin!(nlp, v, Jv)
 
 """
     Jv = jprod_lin!(nlp, rows, cols, vals, v, Jv)
@@ -592,8 +600,16 @@ Evaluate ``J(x)^Tv``, the linear transposed-Jacobian-vector product at `x` in pl
 """
 function jtprod_lin! end
 
-@deprecate jtprod_lin(nlp::AbstractNLPModel, x::AbstractVector, v::AbstractVector) jtprod_lin(nlp, v)
-@deprecate jtprod_lin!(nlp::AbstractNLPModel, x::AbstractVector, v::AbstractVector, Jtv::AbstractVector) jtprod_lin!(nlp, v, Jtv)
+@deprecate jtprod_lin(nlp::AbstractNLPModel, x::AbstractVector, v::AbstractVector) jtprod_lin(
+  nlp,
+  v,
+)
+@deprecate jtprod_lin!(
+  nlp::AbstractNLPModel,
+  x::AbstractVector,
+  v::AbstractVector,
+  Jtv::AbstractVector,
+) jtprod_lin!(nlp, v, Jtv)
 
 """
     Jtv = jtprod_lin!(nlp, rows, cols, vals, v, Jtv)
@@ -797,7 +813,12 @@ function jac_lin_op!(
   return LinearOperator{T}(nlp.meta.nlin, nlp.meta.nvar, false, false, prod!, ctprod!, ctprod!)
 end
 
-@deprecate jac_lin_op!(nlp::AbstractNLPModel, x::AbstractVector, Jv::AbstractVector, Jtv::AbstractVector) jac_lin_op!(nlp, Jv, Jtv)
+@deprecate jac_lin_op!(
+  nlp::AbstractNLPModel,
+  x::AbstractVector,
+  Jv::AbstractVector,
+  Jtv::AbstractVector,
+) jac_lin_op!(nlp, Jv, Jtv)
 
 """
     J = jac_lin_op!(nlp, rows, cols, vals, Jv, Jtv)

src/nls/api.jl

@@ -2,7 +2,8 @@ export residual, residual!, jac_residual, jac_structure_residual, jac_structure_
 export jac_coord_residual!, jac_coord_residual, jprod_residual, jprod_residual!
 export jtprod_residual, jtprod_residual!, jac_op_residual, jac_op_residual!
 export hess_residual, hess_structure_residual, hess_structure_residual!
-export hess_coord_residual!, hess_coord_residual, jth_hess_residual, jth_hess_residual_coord, jth_hess_residual_coord!
+export hess_coord_residual!,
+  hess_coord_residual, jth_hess_residual, jth_hess_residual_coord, jth_hess_residual_coord!
 export hprod_residual, hprod_residual!, hess_op_residual, hess_op_residual!
 
 """
@@ -337,7 +338,11 @@ end
 Evaluate the Hessian of j-th residual at `x` in sparse coordinate format.
 Only the lower triangle is returned.
 """
-function jth_hess_residual_coord(nls::AbstractNLSModel{T, S}, x::AbstractVector, j::Int) where {T, S}
+function jth_hess_residual_coord(
+  nls::AbstractNLSModel{T, S},
+  x::AbstractVector,
+  j::Int,
+) where {T, S}
   @lencheck nls.meta.nvar x
   @rangecheck 1 nls.nls_meta.nequ j
   vals = S(undef, nls.nls_meta.nnzh)
@@ -350,7 +355,12 @@ end
 Evaluate the Hessian of j-th residual at `x` in sparse coordinate format, with `vals` of
 length `nls.nls_meta.nnzh`, in place. Only the lower triangle is returned.
 """
-function jth_hess_residual_coord!(nls::AbstractNLSModel{T, S}, x::AbstractVector, j::Int, vals::AbstractVector) where {T, S}
+function jth_hess_residual_coord!(
+  nls::AbstractNLSModel{T, S},
+  x::AbstractVector,
+  j::Int,
+  vals::AbstractVector,
+) where {T, S}
   @lencheck nls.meta.nvar x
   @rangecheck 1 nls.nls_meta.nequ j
   @lencheck nls.nls_meta.nnzh vals

test/nlp/simple-model.jl

@@ -159,7 +159,6 @@ function NLPModels.jprod_nln!(
   return Jv
 end
 
-
 function NLPModels.jprod_lin!(nlp::SimpleNLPModel, v::AbstractVector, Jv::AbstractVector)
   @lencheck 2 v
   @lencheck 1 Jv