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Convert MIPSolveStats into dataclass
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@@ -140,7 +140,7 @@ def test_simulate_perfect() -> None:
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simulate_perfect=True,
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)
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stats = solver.solve(PickleGzInstance(tmp.name))
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assert stats["Lower bound"] == stats["Objective: Predicted lower bound"]
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assert stats["mip_lower_bound"] == stats["Objective: Predicted lower bound"]
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def test_gap() -> None:
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