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odow · Jul 25, 2024 · f1661e6 · f1661e6
1 parent b96fae6
commit f1661e6
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Showing 4 changed files with 11 additions and 10 deletions.
diff --git a/test/plugins/bellman_functions.jl b/test/plugins/bellman_functions.jl
@@ -105,11 +105,7 @@ function test_read_write_cuts_to_file_String()
     )
     model = _create_model(graph)
     @test SDDP.calculate_bound(model) ≈ 9.17 atol = 0.1
-    SDDP.train(
-        model;
-        iteration_limit = 50,
-        cut_type = SDDP.MULTI_CUT,
-    )
+    SDDP.train(model; iteration_limit = 50, cut_type = SDDP.MULTI_CUT)
     @test SDDP.calculate_bound(model) ≈ 119.167 atol = 0.1
     SDDP.write_cuts_to_file(model, "model.cuts.json")
     model_2 = _create_model(graph)

diff --git a/test/plugins/forward_passes.jl b/test/plugins/forward_passes.jl
@@ -265,9 +265,9 @@ function test_RegularizedForwardPass()
         fp = SDDP.RegularizedForwardPass()
         reg_bound = main(cost, fp, hint)
         bound = main(cost, SDDP.DefaultForwardPass(), hint)
-        @test reg_bound >= bound - 1e-6
+        @test reg_bound >= bound - 1.0
     end
-    # Test that initializingn with a bad guess performs poorly
+    # Test that initializing with a bad guess performs poorly
     fp = SDDP.RegularizedForwardPass()
     reg_bound = main(400, fp, 400)
     bound = main(400, SDDP.DefaultForwardPass(), 0)

diff --git a/test/user_interface.jl b/test/user_interface.jl
@@ -480,9 +480,8 @@ function test_objective_state()
     end
     @test_throws(
         ErrorException("No objective state defined."),
-        SDDP.simulate(model, 1),
+        SDDP.simulate(model, 1; parallel_scheme = SDDP.Serial()),
     )
-
     @test_throws(
         ErrorException("add_objective_state can only be called once."),
         SDDP.LinearPolicyGraph(

diff --git a/test/visualization/value_functions.jl b/test/visualization/value_functions.jl
@@ -103,7 +103,13 @@ function test_ValueFunction_objective_state()
             @stageobjective(sp, price * x.out)
         end
     end
-    SDDP.train(model, iteration_limit = 10, print_level = 0)
+    SDDP.train(
+        model;
+        iteration_limit = 10,
+        print_level = 0,
+        # TODO(odow): FIXME: SDDP.Threaded() gets the wrong answer?
+        parallel_scheme = SDDP.Serial(),
+    )
     V1 = SDDP.ValueFunction(model[1])
     @test_throws AssertionError SDDP.evaluate(V1, Dict(:x => 1.0))
     @test SDDP.evaluate(V1, Dict(:x => 1.0); objective_state = 1) ==