fix

Author: tmigot

benchmark/benchmarks.jl

@@ -8,10 +8,10 @@ const SUITE = BenchmarkGroup()
 for n in [100, 1000]
     g = zeros(n)
     SUITE["grad! ref"]["$n"] = @benchmarkable grad!(nlp, get_x0(nlp), $g) setup = (nlp = OptimizationProblems.ADNLPProblems.arglina(n = $n), timed_nlp = TimerNLPModel(nlp))
-    SUITE["grad! tim"]["$n"] = @benchmarkable grad!(timed_nlp, get_x0(nlp), $g) setup = (nlp = OptimizationProblems.ADNLPProblems.arglina(n = $n), timed_nlp = TimerNLPModel(nlp))
+    SUITE["grad! tim"]["$n"] = @benchmarkable grad!(timed_nlp, get_x0(timed_nlp), $g) setup = (timed_nlp = TimerNLPModel(OptimizationProblems.ADNLPProblems.arglina(n = $n)))
 end
 for n in [100, 1000]
     Hv = zeros(n)
     SUITE["hprod! ref"]["$n"] = @benchmarkable hprod!(nlp, get_x0(nlp), get_x0(nlp), $Hv) setup = (nlp = OptimizationProblems.ADNLPProblems.arglina(n = $n), timed_nlp = TimerNLPModel(nlp))
-    SUITE["hprod! tim"]["$n"] = @benchmarkable hprod!(timed_nlp, get_x0(nlp), get_x0(nlp), $Hv) setup = (nlp = OptimizationProblems.ADNLPProblems.arglina(n = $n), timed_nlp = TimerNLPModel(nlp))
+    SUITE["hprod! tim"]["$n"] = @benchmarkable hprod!(timed_nlp, get_x0(timed_nlp), get_x0(timed_nlp), $Hv) setup = (timed_nlp = TimerNLPModel(OptimizationProblems.ADNLPProblems.arglina(n = $n)))
 end