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https://github.com/ANL-CEEESA/MIPLearn.git
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Convert MIPSolveStats into dataclass
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@@ -16,7 +16,7 @@ def test_stab() -> None:
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instance = MaxWeightStableSetInstance(graph, weights)
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solver = LearningSolver()
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stats = solver.solve(instance)
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assert stats["Lower bound"] == 2.0
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assert stats["mip_lower_bound"] == 2.0
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def test_stab_generator_fixed_graph() -> None:
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@@ -47,8 +47,8 @@ def test_instance() -> None:
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assert solution["x[(1, 2)]"] == 1.0
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assert solution["x[(1, 3)]"] == 0.0
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assert solution["x[(2, 3)]"] == 1.0
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assert stats["Lower bound"] == 4.0
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assert stats["Upper bound"] == 4.0
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assert stats["mip_lower_bound"] == 4.0
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assert stats["mip_upper_bound"] == 4.0
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def test_subtour() -> None:
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