Update LQOI (#178)

* Prepare for upgraded LQOI

* Update REQUIRE

REQUIRE

@@ -1,4 +1,4 @@
 julia 0.6
 MathProgBase 0.5 0.8
 Compat 0.33
-LinQuadOptInterface 0.4 0.5
+LinQuadOptInterface 0.5 0.6

src/MOIWrapper.jl

@@ -343,6 +343,11 @@ function LQOI.add_mip_starts!(model::Optimizer, columns::Vector{Int}, starts::Ve
     update_model!(model.inner)
     return
 end
+function MOI.supports(
+        ::Optimizer, ::MOI.VariablePrimalStart, ::Type{MOI.VariableIndex})
+    return true
+end
+
 
 LQOI.solve_mip_problem!(model::Optimizer) = LQOI.solve_linear_problem!(model)
 
@@ -359,21 +364,13 @@ function LQOI.get_termination_status(model::Optimizer)
     if stat == :loaded
         return MOI.OtherError
     elseif stat == :optimal
-        return MOI.Success
+        return MOI.Optimal
     elseif stat == :infeasible
-        if has_dual_ray(model)
-            return MOI.Success
-        else
-            return MOI.InfeasibleNoResult
-        end
+        return MOI.Infeasible
     elseif stat == :inf_or_unbd
         return MOI.InfeasibleOrUnbounded
     elseif stat == :unbounded
-        if has_primal_ray(model)
-            return MOI.Success
-        else
-            return MOI.UnboundedNoResult
-        end
+        return MOI.DualInfeasible
     elseif stat == :cutoff
         return MOI.ObjectiveLimit
     elseif stat == :iteration_limit
@@ -418,7 +415,7 @@ end
 function LQOI.get_dual_status(model::Optimizer)
     stat = get_status(model.inner)
     if is_mip(model.inner) || is_qcp(model.inner)
-        return MOI.UnknownResultStatus
+        return MOI.NoSolution
     else
         if stat == :optimal
             return MOI.FeasiblePoint
@@ -430,7 +427,7 @@ function LQOI.get_dual_status(model::Optimizer)
             return MOI.FeasiblePoint
         end
     end
-    return MOI.UnknownResultStatus
+    return MOI.NoSolution
 end
 
 function LQOI.get_variable_primal_solution!(model::Optimizer, dest)

test/MOIWrapper.jl

@@ -79,9 +79,13 @@ end
 end
 @testset "ModelLike tests" begin
     solver = Gurobi.Optimizer()
-
     @test MOI.get(solver, MOI.SolverName()) == "Gurobi"
-
+    @testset "default_objective_test" begin
+         MOIT.default_objective_test(solver)
+     end
+     @testset "default_status_test" begin
+         MOIT.default_status_test(solver)
+     end
     @testset "nametest" begin
         MOIT.nametest(solver)
     end
@@ -240,7 +244,7 @@ end
     # We should have a primal feasible solution:
     @test MOI.get(m, MOI.PrimalStatus()) == MOI.FeasiblePoint
     # But we have no dual status:
-    @test MOI.get(m, MOI.DualStatus()) == MOI.UnknownResultStatus
+    @test MOI.get(m, MOI.DualStatus()) == MOI.NoSolution
 end
 
 @testset "Constant objective (issue #111)" begin