fix

Author: tmigot

benchmark/benchmarks.jl

@@ -16,21 +16,17 @@ const list_problems_PureJuMP = setdiff(list_problems, list_problems_not_PureJuMP
 # Run locally with `tune!(SUITE)` and then `run(SUITE)`
 const SUITE = BenchmarkGroup()
 
-BenchmarkTools.DEFAULT_PARAMETERS[] = BenchmarkTools.Parameters(
-  samples = 5,     # default ~10k → 3
-  evals   = 1,     # run each sample once
-  # seconds = 0.2,   # time budget per benchmark
-  # gctrial = false, # skip extra GC runs
-)
+const SAMPLES = 5
+const EVALS   = 1
 
 SUITE["ADNLPProblems"] = BenchmarkGroup()
 SUITE["ADNLPProblems"]["NLP"] = BenchmarkGroup()
 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)()
-  SUITE["ADNLPProblems"]["NLP"]["obj"][pb] = @benchmarkable obj(nlp, nlp.meta.x0) 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()
@@ -39,16 +35,16 @@ SUITE["ADNLPProblems"]["NLS"]["obj"] = BenchmarkGroup()
 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)
-  SUITE["ADNLPProblems"]["NLS"]["obj"][pb] = @benchmarkable obj(nlp, nlp.meta.x0) 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)()
-    SUITE["PureJuMP"]["obj"][pb] = @benchmarkable obj(nlp, nlp.meta.x0) setup = (
+    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