Make lazy constraints compatible with JuMP

test/src/problems/test_tsp.jl

@@ -0,0 +1,27 @@
+#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
+#  Copyright (C) 2020-2024, UChicago Argonne, LLC. All rights reserved.
+#  Released under the modified BSD license. See COPYING.md for more details.
+
+using GLPK
+using JuMP
+
+function test_problems_tsp()
+    pdist = pyimport("scipy.spatial.distance").pdist
+    squareform = pyimport("scipy.spatial.distance").squareform
+
+    data = TravelingSalesmanData(
+        n_cities=6,
+        distances=squareform(pdist([
+            [0.0, 0.0],
+            [1.0, 0.0],
+            [2.0, 0.0],
+            [3.0, 0.0],
+            [0.0, 1.0],
+            [3.0, 1.0],
+        ])),
+    )
+    model = build_tsp_model_jump(data, optimizer=GLPK.Optimizer)
+    model.optimize()
+    @test objective_value(model.inner) == 8.0
+    return
+end