diff --git a/benchmark/benchmarks.jl b/benchmark/benchmarks.jl
index dd9f2080..2aecc815 100644
--- a/benchmark/benchmarks.jl
+++ b/benchmark/benchmarks.jl
@@ -17,7 +17,7 @@ const list_problems_PureJuMP = setdiff(list_problems, list_problems_not_PureJuMP
 const SUITE = BenchmarkGroup()
 
 const SAMPLES = 5
-const EVALS   = 1
+const EVALS = 1
 
 SUITE["ADNLPProblems"] = BenchmarkGroup()
 SUITE["ADNLPProblems"]["NLP"] = BenchmarkGroup()
@@ -25,26 +25,36 @@ SUITE["ADNLPProblems"]["NLP"]["constructor"] = BenchmarkGroup()
 SUITE["ADNLPProblems"]["NLP"]["obj"] = BenchmarkGroup()
 for pb in list_problems_ADNLPProblems
   problem_constructor = getproperty(OptimizationProblems.ADNLPProblems, Symbol(pb))
-  SUITE["ADNLPProblems"]["NLP"]["constructor"][pb] = @benchmarkable $(problem_constructor)() samples=SAMPLES evals=EVALS
-  SUITE["ADNLPProblems"]["NLP"]["obj"][pb] = @benchmarkable obj(nlp, nlp.meta.x0) samples=SAMPLES evals=EVALS setup = (nlp = $(problem_constructor)())
+  SUITE["ADNLPProblems"]["NLP"]["constructor"][pb] =
+    @benchmarkable $(problem_constructor)() samples=SAMPLES evals=EVALS
+  SUITE["ADNLPProblems"]["NLP"]["obj"][pb] =
+    @benchmarkable obj(nlp, nlp.meta.x0) samples=SAMPLES evals=EVALS setup =
+      (nlp = $(problem_constructor)())
 end
 
 SUITE["ADNLPProblems"]["NLS"] = BenchmarkGroup()
 SUITE["ADNLPProblems"]["NLS"]["constructor"] = BenchmarkGroup()
 SUITE["ADNLPProblems"]["NLS"]["obj"] = BenchmarkGroup()
-list_problems_nls_ADNLPProblems = intersect(Symbol.(OptimizationProblems.meta[OptimizationProblems.meta.objtype .== :least_squares, :name]), list_problems_ADNLPProblems)
+list_problems_nls_ADNLPProblems = intersect(
+  Symbol.(OptimizationProblems.meta[OptimizationProblems.meta.objtype .== :least_squares, :name]),
+  list_problems_ADNLPProblems,
+)
 for pb in list_problems_nls_ADNLPProblems
   problem_constructor = getproperty(OptimizationProblems.ADNLPProblems, Symbol(pb))
-  SUITE["ADNLPProblems"]["NLS"]["constructor"][pb] = @benchmarkable $(problem_constructor)(use_nls = true) samples=SAMPLES evals=EVALS
-  SUITE["ADNLPProblems"]["NLS"]["obj"][pb] = @benchmarkable obj(nlp, nlp.meta.x0) samples=SAMPLES evals=EVALS setup = (nlp = $(problem_constructor)(use_nls = true))
+  SUITE["ADNLPProblems"]["NLS"]["constructor"][pb] =
+    @benchmarkable $(problem_constructor)(use_nls = true) samples=SAMPLES evals=EVALS
+  SUITE["ADNLPProblems"]["NLS"]["obj"][pb] =
+    @benchmarkable obj(nlp, nlp.meta.x0) samples=SAMPLES evals=EVALS setup =
+      (nlp = $(problem_constructor)(use_nls = true))
 end
 SUITE["PureJuMP"] = BenchmarkGroup()
 SUITE["PureJuMP"]["constructor"] = BenchmarkGroup()
 SUITE["PureJuMP"]["obj"] = BenchmarkGroup()
 for pb in list_problems_PureJuMP
-    problem_constructor = getproperty(OptimizationProblems.PureJuMP, Symbol(pb))
-    SUITE["PureJuMP"]["constructor"][pb] = @benchmarkable $(problem_constructor)() samples=SAMPLES evals=EVALS
-    SUITE["PureJuMP"]["obj"][pb] = @benchmarkable obj(nlp, nlp.meta.x0) samples=SAMPLES evals=EVALS setup = (
-        nlp = MathOptNLPModel($(problem_constructor)())
-    )
+  problem_constructor = getproperty(OptimizationProblems.PureJuMP, Symbol(pb))
+  SUITE["PureJuMP"]["constructor"][pb] =
+    @benchmarkable $(problem_constructor)() samples=SAMPLES evals=EVALS
+  SUITE["PureJuMP"]["obj"][pb] =
+    @benchmarkable obj(nlp, nlp.meta.x0) samples=SAMPLES evals=EVALS setup =
+      (nlp = MathOptNLPModel($(problem_constructor)()))
 end