Update

Author: odow

src/Test/MINLPTests/nlp_cvx_expr_102_011.json

@@ -1 +1 @@
-{"primal":{"x":0.6,"y":0.6},"model":{"name":"MathOptFormat Model","variables":[{"name":"x"},{"name":"y"}],"constraints":[{"name":"c1","function":{"constant":0.0,"terms":[{"coefficient":1.0,"variable":"x"},{"coefficient":1.0,"variable":"y"}],"type":"ScalarAffineFunction"},"set":{"lower":1.2,"type":"GreaterThan"}},{"name":"c1_1","function":{"constant":0.0,"affine_terms":[],"quadratic_terms":[{"variable_1":"x","variable_2":"x","coefficient":2.0},{"variable_1":"y","variable_2":"y","coefficient":2.0}],"type":"ScalarQuadraticFunction"},"set":{"type":"LessThan","upper":1.0}}],"objective":{"function":{"constant":0.0,"terms":[{"coefficient":1.0,"variable":"x"},{"coefficient":1.0,"variable":"y"}],"type":"ScalarAffineFunction"},"sense":"min"},"version":{"major":1,"minor":7}},"objective":1.2,"is_feasible":true}
+{"is_primal_unique":false,"primal":{"x":0.6,"y":0.6},"model":{"name":"MathOptFormat Model","variables":[{"name":"x"},{"name":"y"}],"constraints":[{"name":"c1","function":{"constant":0.0,"terms":[{"coefficient":1.0,"variable":"x"},{"coefficient":1.0,"variable":"y"}],"type":"ScalarAffineFunction"},"set":{"lower":1.2,"type":"GreaterThan"}},{"name":"c1_1","function":{"constant":0.0,"affine_terms":[],"quadratic_terms":[{"variable_1":"x","variable_2":"x","coefficient":2.0},{"variable_1":"y","variable_2":"y","coefficient":2.0}],"type":"ScalarQuadraticFunction"},"set":{"type":"LessThan","upper":1.0}}],"objective":{"function":{"constant":0.0,"terms":[{"coefficient":1.0,"variable":"x"},{"coefficient":1.0,"variable":"y"}],"type":"ScalarAffineFunction"},"sense":"min"},"version":{"major":1,"minor":7}},"objective":1.2,"is_feasible":true}

src/Test/test_minlptests.jl

@@ -22,13 +22,15 @@ function _test_minlptests(
     if data["is_feasible"]
         @test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
         @test ≈(MOI.get(model, MOI.ObjectiveValue()), data["objective"], config)
-        for (name, value) in data["primal"]
-            mof_x = MOI.get(mof_model, MOI.VariableIndex, name)
-            @test ≈(
-                MOI.get(model, MOI.VariablePrimal(), index_map[mof_x]),
-                value,
-                config,
-            )
+        if get(data, "is_primal_unique", true)
+            for (name, value) in data["primal"]
+                mof_x = MOI.get(mof_model, MOI.VariableIndex, name)
+                @test ≈(
+                    MOI.get(model, MOI.VariablePrimal(), index_map[mof_x]),
+                    value,
+                    config,
+                )
+            end
         end
     else
         status = MOI.get(model, MOI.TerminationStatus())