diff --git a/src/types.jl b/src/types.jl
index c993c79..2fadd65 100644
--- a/src/types.jl
+++ b/src/types.jl
@@ -65,11 +65,10 @@ function NLPModels.hess_op(rnlp::AbstractRegularizedNLPModel, x::AbstractVector)
   return hess_op(rnlp.model, x)
 end
 
-function NLPModels.hess(rnlp::AbstractRegularizedNLPModel, x::AbstractVector; obj_weight=1.0)
-  return hess(rnlp.model, x; obj_weight=obj_weight)
+function NLPModels.hess(rnlp::AbstractRegularizedNLPModel, x::AbstractVector; obj_weight = 1.0)
+  return hess(rnlp.model, x; obj_weight = obj_weight)
 end
 
-
 # Forward meta getters so they grab info from the smooth model
 for field ∈ fieldnames(NLPModels.NLPModelMeta)
   meth = Symbol("get_", field)
diff --git a/test/runtests.jl b/test/runtests.jl
index 9137b9f..26f6d60 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -1,5 +1,12 @@
 using LinearAlgebra, Test
-using ADNLPModels, DifferentialEquations, LinearOperators, ManualNLPModels, MLDatasets, NLPModels, NLPModelsModifiers, QuadraticModels
+using ADNLPModels,
+  DifferentialEquations,
+  LinearOperators,
+  ManualNLPModels,
+  MLDatasets,
+  NLPModels,
+  NLPModelsModifiers,
+  QuadraticModels
 using RegularizedProblems
 
 function test_well_defined(model, nls_model, sol)