Add support for MOI.UserDefinedFunction

src/MOI_wrapper.jl

@@ -325,6 +325,26 @@ function MOI.set(model::Optimizer, attr::MOI.RawOptimizerAttribute, value)
     return
 end
 
+# MOI.UserDefinedFunction
+
+MOI.supports(model::Optimizer, ::MOI.UserDefinedFunction) = true
+
+function MOI.set(model::Optimizer, attr::MOI.UserDefinedFunction, args)
+    MOI.Nonlinear.register_operator(
+        model.nlp_model,
+        attr.name,
+        attr.arity,
+        args...,
+    )
+    return
+end
+
+### MOI.ListOfSupportedNonlinearOperators
+
+function MOI.get(model::Optimizer, attr::MOI.ListOfSupportedNonlinearOperators)
+    return MOI.get(model.nlp_model, attr)
+end
+
 MOI.get(model::Optimizer, ::MOI.NumberOfVariables) = length(model.variable_info)
 
 function MOI.get(model::Optimizer, ::MOI.ListOfVariableIndices)

test/MINLPTests/run_minlptests.jl

@@ -13,17 +13,16 @@ using Test
         JuMP.optimizer_with_attributes(KNITRO.Optimizer, "outlev" => 0, "opttol" => 1e-8)
     # 005_010 : knitro finds a slightly different solution
     # 005_011 : uses the function `\`
-    # 006_010 : user-defined function
-    MINLPTests.test_nlp(solver; exclude=["005_010", "005_011", "006_010"])
+    MINLPTests.test_nlp(solver; exclude=["005_010", "005_011"])
     MINLPTests.test_nlp_expr(
         solver;
-        exclude=["005_010", "005_011", "006_010", "008_010", "008_011"],
+        exclude=["005_010", "005_011", "008_010", "008_011"],
     )
     # For 005_010, Knitro founds a different solution, close to those of MINLPTests.
     MINLPTests.nlp_005_010(solver, 1e-5, 1e-5, 1e-5)
     MINLPTests.nlp_expr_005_010(solver, 1e-5, 1e-5, 1e-5)
     MINLPTests.test_nlp_cvx(solver)
     MINLPTests.test_nlp_cvx_expr(solver)
-    MINLPTests.test_nlp_mi(solver, exclude=["005_011", "006_010"])
-    MINLPTests.test_nlp_mi_expr(solver, exclude=["005_011", "006_010"])
+    MINLPTests.test_nlp_mi(solver, exclude=["005_011"])
+    MINLPTests.test_nlp_mi_expr(solver, exclude=["005_011"])
 end