Add getter and setters for AbstractOptimizerAttribute

Project.toml

@@ -1,7 +1,7 @@
 name = "ParametricOptInterface"
 uuid = "0ce4ce61-57bf-432b-a095-efac525d185e"
 authors = ["Tomás Gutierrez <[email protected]>"]
-version = "0.5.0"
+version = "0.5.1"
 
 [deps]
 MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"

src/ParametricOptInterface.jl

@@ -689,6 +689,19 @@
     return MOI.get(model.optimizer, MOI.RawStatusString())
 end
 
+function MOI.supports(model::Optimizer, attr::MOI.AbstractOptimizerAttribute)
+    return MOI.supports(model.optimizer, attr)
+end
+
+function MOI.get(model::Optimizer, attr::MOI.AbstractOptimizerAttribute)
+    return MOI.get(model.optimizer, attr)
+end
+
+function MOI.set(model::Optimizer, attr::MOI.AbstractOptimizerAttribute, value)
+    MOI.set(model.optimizer, attr, value)
+    return
+end
+
 function MOI.get(model::Optimizer, ::MOI.NumberOfConstraints{F,S}) where {F,S}
     return length(MOI.get(model, MOI.ListOfConstraintIndices{F,S}()))
 end

test/jump_tests.jl

@@ -1055,3 +1055,12 @@ function test_affine_parametric_objective()
     @test objective_value(model) ≈ 1.5
     @test value(objective_function(model)) ≈ 1.5
 end
+
+function test_abstract_optimizer_attributes()
+    model = Model(() -> POI.Optimizer(GLPK.Optimizer()))
+    set_attribute(model, "tm_lim", 60 * 1000)
+    attr = MOI.RawOptimizerAttribute("tm_lim")
+    @test MOI.supports(unsafe_backend(model), attr)
+    @test get_attribute(model, "tm_lim") ≈ 60 * 1000
+    return
+end