Add test with multiple PSD variables on same constraint

src/Test/test_conic.jl

@@ -5770,6 +5770,95 @@
     return
 end
 
+# Test with multiple PSD variable on the same constraint in order to catch
+# https://github.com/jump-dev/MosekTools.jl/issues/139
+function test_conic_PositiveSemidefiniteConeTriangle_4(
+    model::MOI.ModelLike,
+    config::Config{T},
+) where {T<:Real}
+    @requires MOI.supports_incremental_interface(model)
+    @requires _supports(config, MOI.optimize!)
+    @requires MOI.supports(
+        model,
+        MOI.ObjectiveFunction{MOI.ScalarAffineFunction{T}}(),
+    )
+    @requires MOI.supports(model, MOI.ObjectiveSense())
+    @requires MOI.supports_constraint(
+        model,
+        MOI.VectorOfVariables,
+        MOI.PositiveSemidefiniteConeTriangle,
+    )
+    @requires MOI.supports_constraint(
+        model,
+        MOI.ScalarAffineFunction{T},
+        MOI.EqualTo{T},
+    )
+    @requires MOI.supports_constraint(
+        model,
+        MOI.ScalarAffineFunction{T},
+        MOI.GreaterThan{T},
+    )
+    x, cx = MOI.add_constrained_variables(
+        model,
+        MOI.PositiveSemidefiniteConeTriangle(2),
+    )
+    y, cy = MOI.add_constrained_variables(
+        model,
+        MOI.PositiveSemidefiniteConeTriangle(2),
+    )
+    c1 = MOI.add_constraint(
+        model,
+        sum(one(T) .* x) - sum(one(T) .* y),
+        MOI.EqualTo(zero(T)),
+    )
+    c2 = MOI.add_constraint(
+        model,
+        one(T) * y[1] + one(T) * y[3],
+        MOI.GreaterThan(one(T)),
+    )
+    obj = one(T) * x[1] + one(T) * x[3]
+    MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
+    MOI.set(model, MOI.ObjectiveFunction{typeof(obj)}(), obj)
+    @test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMIZE_NOT_CALLED
+    MOI.optimize!(model)
+    @test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
+    @test MOI.get(model, MOI.PrimalStatus()) == MOI.FEASIBLE_POINT
+    x_primal = MOI.get.(model, MOI.VariablePrimal(), x)
+    @test ≈(x_primal, ones(T, 3) ./ T(6), config)
+    y_primal = MOI.get.(model, MOI.VariablePrimal(), y)
+    @test ≈(y_primal, T[1, -1, 1] ./ T(2), config)
+    if _supports(config, MOI.ConstraintDual)
+        @test MOI.get(model, MOI.DualStatus()) == MOI.FEASIBLE_POINT
+        x_dual = MOI.get(model, MOI.ConstraintDual(), cx)
+        @test ≈(x_dual, [1, -1, 1] ./ T(3), config)
+        y_dual = MOI.get(model, MOI.ConstraintDual(), cy)
+        @test ≈(y_dual, ones(T, 3) ./ T(3), config)
+        @test ≈(MOI.get(model, MOI.ConstraintDual(), c1), T(2) / T(3), config)
+        @test ≈(MOI.get(model, MOI.ConstraintDual(), c2), T(1) / T(3), config)
+    end
+    return
+end
+
+function setup_test(
+    ::typeof(test_conic_PositiveSemidefiniteConeTriangle_4),
+    model::MOIU.MockOptimizer,
+    ::Config{T},
+) where {T<:Real}
+    MOIU.set_mock_optimize!(
+        model,
+        (mock::MOIU.MockOptimizer) -> MOIU.mock_optimize!(
+            mock,
+            T[[1, 1, 1] / T(6); [1, -1, 1] / T(2)],
+            (MOI.VectorOfVariables, MOI.PositiveSemidefiniteConeTriangle) =>
+                T[[1, -1, 1]./T(3), ones(T, 3)./T(3)],
+            (MOI.ScalarAffineFunction{T}, MOI.EqualTo{T}) => [T(2) / T(3)],
+            (MOI.ScalarAffineFunction{T}, MOI.GreaterThan{T}) =>
+                [T(1) / T(3)],
+        ),
+    )
+    return
+end
+
 """
     _test_det_cone_helper_ellipsoid(
         model::MOI.ModelLike,