bump to nlpmodels 015 and co

JuliaSmoothOptimizers · Jun 19, 2021 · 6889587 · 6889587
1 parent a8cd614
commit 6889587
Show file tree

Hide file tree

Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/Project.toml b/Project.toml
@@ -9,8 +9,8 @@ SolverCore = "ff4d7338-4cf1-434d-91df-b86cb86fb843"
 
 [compat]
 Ipopt = "0.5.0, 0.6"
-NLPModels = "0.14"
-SolverCore = "0.1"
+NLPModels = "0.14, 0.15"
+SolverCore = "0.1, 0.2"
 julia = "^1.3.0"
 
 [extras]

diff --git a/test/runtests.jl b/test/runtests.jl
@@ -48,7 +48,7 @@ function tests()
   @test stats.status == :first_order
 
   meta = NLPModelMeta(1, x0 = rand(1), lvar = zeros(1), uvar = ones(1), minimize = false)
-  nlp = ADNLPModel(meta, Counters(), ADNLPModels.ForwardDiffAD(), x -> x[1], x -> [])
+  nlp = ADNLPModel(meta, Counters(), ADNLPModels.ForwardDiffAD(1), x -> x[1], x -> [])
   stats = ipopt(nlp, print_level = 0)
   @test isapprox(stats.solution, ones(1), rtol = 1e-6)
   @test isapprox(stats.objective, 1.0, rtol = 1e-6)