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https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Use compact variable features everywhere
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@@ -43,13 +43,8 @@ def test_instance() -> None:
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assert instance.samples[0].after_mip is not None
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features = instance.samples[0].after_mip
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assert features is not None
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assert features.variables_old is not None
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assert features.variables_old["x[(0, 1)]"].value == 1.0
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assert features.variables_old["x[(0, 2)]"].value == 0.0
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assert features.variables_old["x[(0, 3)]"].value == 1.0
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assert features.variables_old["x[(1, 2)]"].value == 1.0
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assert features.variables_old["x[(1, 3)]"].value == 0.0
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assert features.variables_old["x[(2, 3)]"].value == 1.0
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assert features.variables is not None
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assert features.variables.values == (1.0, 0.0, 1.0, 1.0, 0.0, 1.0)
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assert features.mip_solve is not None
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assert features.mip_solve.mip_lower_bound == 4.0
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assert features.mip_solve.mip_upper_bound == 4.0
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@@ -79,12 +74,23 @@ def test_subtour() -> None:
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lazy_enforced = features.extra["lazy_enforced"]
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assert lazy_enforced is not None
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assert len(lazy_enforced) > 0
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assert features.variables_old is not None
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assert features.variables_old["x[(0, 1)]"].value == 1.0
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assert features.variables_old["x[(0, 4)]"].value == 1.0
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assert features.variables_old["x[(1, 2)]"].value == 1.0
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assert features.variables_old["x[(2, 3)]"].value == 1.0
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assert features.variables_old["x[(3, 5)]"].value == 1.0
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assert features.variables_old["x[(4, 5)]"].value == 1.0
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assert features.variables is not None
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assert features.variables.values == (
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1.0,
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0.0,
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0.0,
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1.0,
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0.0,
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1.0,
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0.0,
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0.0,
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0.0,
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1.0,
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0.0,
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0.0,
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0.0,
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1.0,
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1.0,
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)
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solver.fit([instance])
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solver.solve(instance)
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