diff --git a/src/julia/src/jump_solver.jl b/src/julia/src/jump_solver.jl
index 640f7a6..42eb9a5 100644
--- a/src/julia/src/jump_solver.jl
+++ b/src/julia/src/jump_solver.jl
@@ -131,6 +131,10 @@ end
         @error "JuMPSolver: set_threads not implemented"
     end
 
+    function set_branching_priorities(self, priorities)
+        @error "JuMPSolver: set_branching_priorities not implemented"
+    end
+
     function set_time_limit(self, time_limit)
         JuMP.set_time_limit_sec(self.model, time_limit)
     end
diff --git a/src/python/miplearn/problems/tests/test_stab.py b/src/python/miplearn/problems/tests/test_stab.py
index a8553b0..8819840 100644
--- a/src/python/miplearn/problems/tests/test_stab.py
+++ b/src/python/miplearn/problems/tests/test_stab.py
@@ -2,11 +2,10 @@
 #  Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
 #  Released under the modified BSD license. See COPYING.md for more details.
 
-from miplearn import LearningSolver
-from miplearn.problems.stab import MaxWeightStableSetInstance
-from miplearn.problems.stab import MaxWeightStableSetGenerator
 import networkx as nx
 import numpy as np
+from miplearn import LearningSolver
+from miplearn.problems.stab import MaxWeightStableSetInstance
 from scipy.stats import uniform, randint
 
 
@@ -16,7 +15,7 @@ def test_stab():
     instance = MaxWeightStableSetInstance(graph, weights)
     solver = LearningSolver()
     solver.solve(instance)
-    assert instance.model.OBJ() == 2.
+    assert instance.lower_bound == 2.
     
     
 def test_stab_generator_fixed_graph():