Update ensemble_nondes.jl

Author: ChrisRackauckas

test/downstream/ensemble_nondes.jl

@@ -13,23 +13,23 @@ ensembleprob = Optimization.EnsembleProblem(
 
 sol = Optimization.solve(ensembleprob, OptimizationOptimJL.BFGS(),
     EnsembleThreads(), trajectories = 4, maxiters = 5)
-@test findmin(i -> sol.u[i].objective, 1:4)[1] < sol1.objective
+@test findmin(i -> sol.u[i].objective, 1:4)[1] <= sol1.objective
 
 sol = Optimization.solve(ensembleprob, OptimizationOptimJL.BFGS(),
     EnsembleDistributed(), trajectories = 4, maxiters = 5)
-@test findmin(i -> sol.u[i].objective, 1:4)[1] < sol1.objective
+@test findmin(i -> sol.u[i].objective, 1:4)[1] <= sol1.objective
 
 prob = OptimizationProblem(optf, x0, lb = [-0.5, -0.5], ub = [0.5, 0.5])
 ensembleprob = Optimization.EnsembleProblem(
     prob, prob_func = (prob, i, repeat) -> remake(prob, u0 = rand(-0.5:0.001:0.5, 2)))
 
 sol = Optimization.solve(ensembleprob, OptimizationOptimJL.BFGS(),
     EnsembleThreads(), trajectories = 5, maxiters = 5)
-@test findmin(i -> sol.u[i].objective, 1:4)[1] < sol1.objective
+@test findmin(i -> sol.u[i].objective, 1:4)[1] <= sol1.objective
 
 sol = Optimization.solve(ensembleprob, OptimizationOptimJL.BFGS(),
     EnsembleDistributed(), trajectories = 5, maxiters = 5)
-@test findmin(i -> sol.u[i].objective, 1:4)[1] < sol1.objective
+@test findmin(i -> sol.u[i].objective, 1:4)[1] <= sol1.objective
 
 using NonlinearSolve