tested (successfully) ADNLPModels fix with enzyme backend for dual tag ordering issue

Author: jbcaillau

Project.toml

@@ -13,14 +13,17 @@ CTParser = "32681960-a1b1-40db-9bff-a1ca817385d1"
 CTSolvers = "d3e8d392-8e4b-4d9b-8e92-d7d4e3650ef6"
 CommonSolve = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2"
 DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
+Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 ExaModels = "1037b233-b668-4ce9-9b63-f9f681f55dd2"
+MadNLPMumps = "3b83494e-c0a4-4895-918b-9157a7a085a1"
 NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
+NLPModelsIpopt = "f4238b75-b362-5c4c-b852-0801c9a21d71"
 RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 SolverCore = "ff4d7338-4cf1-434d-91df-b86cb86fb843"
 
 [compat]
-ADNLPModels = "0.8"
+ADNLPModels = "0.8.13"
 CTBase = "0.18"
 CTDirect = "1"
 CTFlows = "0.8"
@@ -31,6 +34,7 @@ CUDA = "5"
 CommonSolve = "0.2"
 DifferentiationInterface = "0.7"
 DocStringExtensions = "0.9"
+Enzyme = "0.13.129"
 ExaModels = "0.9"
 ForwardDiff = "0.10, 1.0"
 LinearAlgebra = "1"