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Convert MIPSolveStats into dataclass
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@@ -255,5 +255,5 @@ def test_usage() -> None:
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solver.solve(instance)
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solver.fit([instance])
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stats = solver.solve(instance)
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assert stats["Lower bound"] == stats["Objective: Predicted lower bound"]
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assert stats["Upper bound"] == stats["Objective: Predicted upper bound"]
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assert stats["mip_lower_bound"] == stats["Objective: Predicted lower bound"]
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assert stats["mip_upper_bound"] == stats["Objective: Predicted upper bound"]
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@@ -221,7 +221,7 @@ def test_usage() -> None:
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stats = solver.solve(instance)
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assert stats["Primal: Free"] == 0
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assert stats["Primal: One"] + stats["Primal: Zero"] == 10
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assert stats["Lower bound"] == stats["Warm start value"]
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assert stats["mip_lower_bound"] == stats["mip_warm_start_value"]
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def test_evaluate() -> None:
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