Fixing a typo in the hull transformation, and adding a test for it

pyomo/gdp/plugins/hull.py

@@ -446,7 +446,7 @@ def _transform_disjunctionData(
                 # mark this as local because we won't re-disaggregate if this is
                 # a nested disjunction
                 if local_var_set is not None:
-                    local_var_set.append(disaggregatedVar)
+                    local_var_set.append(disaggregated_var)
                 var_free = 1 - sum(
                     disj.indicator_var.get_associated_binary()
                     for disj in disjunctsVarAppearsIn[var]

pyomo/gdp/tests/test_hull.py

@@ -1750,6 +1750,83 @@ def test_disaggregated_vars_are_set_to_0_correctly(self):
         self.assertEqual(value(hull.get_disaggregated_var(m.x, m.d3)), 1.2)
         self.assertEqual(value(hull.get_disaggregated_var(m.x, m.d4)), 0)
 
+    def test_nested_with_local_vars(self):
+        m = ConcreteModel()
+
+        m.x = Var(bounds=(0, 10))
+        m.S = RangeSet(2)
+
+        @m.Disjunct()
+        def d_l(d):
+            d.lambdas = Var(m.S, bounds=(0, 1))
+            d.LocalVars = Suffix(direction=Suffix.LOCAL)
+            d.LocalVars[d] = list(d.lambdas.values())
+            d.c1 = Constraint(expr=d.lambdas[1] + d.lambdas[2] == 1)
+            d.c2 = Constraint(expr=m.x == 2 * d.lambdas[1] + 3 * d.lambdas[2])
+
+        @m.Disjunct()
+        def d_r(d):
+            @d.Disjunct()
+            def d_l(e):
+                e.lambdas = Var(m.S, bounds=(0, 1))
+                e.LocalVars = Suffix(direction=Suffix.LOCAL)
+                e.LocalVars[e] = list(e.lambdas.values())
+                e.c1 = Constraint(expr=e.lambdas[1] + e.lambdas[2] == 1)
+                e.c2 = Constraint(expr=m.x == 2 * e.lambdas[1] + 3 * e.lambdas[2])
+
+            @d.Disjunct()
+            def d_r(e):
+                e.lambdas = Var(m.S, bounds=(0, 1))
+                e.LocalVars = Suffix(direction=Suffix.LOCAL)
+                e.LocalVars[e] = list(e.lambdas.values())
+                e.c1 = Constraint(expr=e.lambdas[1] + e.lambdas[2] == 1)
+                e.c2 = Constraint(expr=m.x == 2 * e.lambdas[1] + 3 * e.lambdas[2])
+
+            d.inner_disj = Disjunction(expr=[d.d_l, d.d_r])
+
+        m.disj = Disjunction(expr=[m.d_l, m.d_r])
+        m.obj = Objective(expr=m.x)
+
+        hull = TransformationFactory('gdp.hull')
+        hull.apply_to(m)
+
+        x1 = hull.get_disaggregated_var(m.x, m.d_l)
+        x2 = hull.get_disaggregated_var(m.x, m.d_r)
+        x3 = hull.get_disaggregated_var(m.x, m.d_r.d_l)
+        x4 = hull.get_disaggregated_var(m.x, m.d_r.d_r)
+
+        for d, x in [(m.d_l, x1), (m.d_r.d_l, x3), (m.d_r.d_r, x4)]:
+            lambda1 = hull.get_disaggregated_var(d.lambdas[1], d)
+            self.assertIs(lambda1, d.lambdas[1])
+            lambda2 = hull.get_disaggregated_var(d.lambdas[2], d)
+            self.assertIs(lambda2, d.lambdas[2])
+
+            cons = hull.get_transformed_constraints(d.c1)
+            self.assertEqual(len(cons), 1)
+            convex_combo = cons[0]
+            assertExpressionsEqual(
+                self,
+                convex_combo.expr,
+                lambda1 + lambda2 - (1 - d.indicator_var.get_associated_binary()) * 0.0
+                == d.indicator_var.get_associated_binary(),
+            )
+            cons = hull.get_transformed_constraints(d.c2)
+            self.assertEqual(len(cons), 1)
+            get_x = cons[0]
+            assertExpressionsEqual(
+                self,
+                get_x.expr,
+                x
+                - (2 * lambda1 + 3 * lambda2)
+                - (1 - d.indicator_var.get_associated_binary()) * 0.0
+                == 0.0 * d.indicator_var.get_associated_binary(),
+            )
+
+        cons = hull.get_disaggregation_constraint(m.x, m.disj)
+        assertExpressionsEqual(self, cons.expr, m.x == x1 + x2)
+        cons = hull.get_disaggregation_constraint(m.x, m.d_r.inner_disj)
+        assertExpressionsEqual(self, cons.expr, x2 == x3 + x4)
+
 
 class TestSpecialCases(unittest.TestCase):
     def test_local_vars(self):