fix type of MOI evaluator in MathOptNLPModel

Author: frapac

src/moi_nlp_model.jl

@@ -2,7 +2,7 @@ export MathOptNLPModel
 
 mutable struct MathOptNLPModel <: AbstractNLPModel{Float64, Vector{Float64}}
   meta::NLPModelMeta{Float64, Vector{Float64}}
-  eval::MOI.Nonlinear.Evaluator
+  eval::MOI.AbstractNLPEvaluator
   lincon::LinearConstraints
   quadcon::QuadraticConstraints
   nlcon::NonLinearStructure
@@ -74,6 +74,7 @@ function nlp_model(moimodel::MOI.ModelLike; hessian::Bool = true, name::String =
     hess_available = hessian && oracles.hessian_oracles_supported,
   )
 
+
   return MathOptNLPModel(
     meta,
     nlp_data.evaluator,

src/utils.jl

@@ -600,15 +600,28 @@ function parser_NL(nlp_data; hessian::Bool = true)
   nl_ucon = Float64[bounds.upper for bounds in nlp_data.constraint_bounds]
 
   eval = nlp_data.evaluator
-  MOI.initialize(eval, hessian ? [:Grad, :Jac, :JacVec, :Hess, :HessVec] : [:Grad, :Jac, :JacVec])
+  has_hessian = hessian && :Hess in MOI.features_available(eval)
+  # Check features available in model
+  init_feat = [:Grad, :Jac]
+  if has_hessian
+    push!(init_feat, :Hess)
+  end
+  if :JacVec in MOI.features_available(eval)
+    push!(init_feat, :JacVec)
+  end
+  if :HessVec in MOI.features_available(eval)
+    push!(init_feat, :HessVec)
+  end
+
+  MOI.initialize(eval, init_feat)
 
   jac = MOI.jacobian_structure(eval)
   jac_rows, jac_cols = getindex.(jac, 1), getindex.(jac, 2)
   nnzj = length(jac)
 
-  hess = hessian ? MOI.hessian_lagrangian_structure(eval) : Tuple{Int, Int}[]
-  hess_rows = hessian ? getindex.(hess, 1) : Int[]
-  hess_cols = hessian ? getindex.(hess, 2) : Int[]
+  hess = has_hessian ? MOI.hessian_lagrangian_structure(eval) : Tuple{Int, Int}[]
+  hess_rows = has_hessian ? getindex.(hess, 1) : Int[]
+  hess_cols = has_hessian ? getindex.(hess, 2) : Int[]
   nnzh = length(hess)
   nlcon =
     NonLinearStructure(nnln, nl_lcon, nl_ucon, jac_rows, jac_cols, nnzj, hess_rows, hess_cols, nnzh)

test/MOI_wrapper.jl

@@ -40,7 +40,6 @@ function test_runtests()
       r"test_nonlinear_without_objective$",
       r"test_nonlinear_hs071_NLPBlockDual$",
       r"test_nonlinear_hs071_no_hessian$",
-      r"test_nonlinear_hs071_hessian_vector_product$",
       r"test_nonlinear_hs071$",
       # Require hessian = false in the constructor of MathOptNLPModel
       r"test_nonlinear_expression_multivariate_function$",
@@ -64,20 +63,7 @@ function test_runtests()
       r"test_modification_coef_scalaraffine_lessthan$",
       r"test_modification_const_scalar_objective$",
       r"test_modification_const_vectoraffine_nonpos$",
-      r"test_conic_NormInfinityCone_3$",
-      r"test_conic_NormInfinityCone_INFEASIBLE$",
-      r"test_conic_NormInfinityCone_VectorAffineFunction$",
-      r"test_conic_NormInfinityCone_VectorOfVariables$",
-      r"test_conic_NormOneCone$",
-      r"test_conic_NormOneCone_INFEASIBLE$",
-      r"test_conic_NormOneCone_VectorAffineFunction$",
-      r"test_conic_NormOneCone_VectorOfVariables$",
-      r"test_conic_linear_INFEASIBLE$",
-      r"test_conic_linear_INFEASIBLE_2$",
-      r"test_conic_linear_VectorAffineFunction$",
-      r"test_conic_linear_VectorAffineFunction_2$",
-      r"test_conic_linear_VectorOfVariables$",
-      r"test_conic_linear_VectorOfVariables_2$",
+      r"test_conic*",
       r"test_constraint_ScalarAffineFunction_Interval$",
       r"test_constraint_ScalarAffineFunction_LessThan$",
       r"test_constraint_ScalarAffineFunction_duplicate$",