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https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Use instance.features in LazyStatic and Objective
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@@ -239,33 +239,39 @@ def test_xy_sample() -> None:
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"LazyStatic: Enforced": {"c1", "c2", "c4", "c5"},
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"LazyStatic: All": {"c1", "c2", "c3", "c4", "c5"},
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}
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instance.get_constraint_category = Mock(
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side_effect=lambda cid: {
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"c1": "type-a",
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"c2": "type-a",
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"c3": "type-a",
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"c4": "type-b",
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"c5": "type-b",
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}[cid]
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)
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instance.get_constraint_features = Mock(
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side_effect=lambda cid: {
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"c1": [1, 1],
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"c2": [1, 2],
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"c3": [1, 3],
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"c4": [1, 4, 0],
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"c5": [1, 5, 0],
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}[cid]
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)
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instance.features = {
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"Constraints": {
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"c1": {
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"Category": "type-a",
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"User features": [1.0, 1.0],
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},
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"c2": {
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"Category": "type-a",
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"User features": [1.0, 2.0],
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},
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"c3": {
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"Category": "type-a",
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"User features": [1.0, 3.0],
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},
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"c4": {
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"Category": "type-b",
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"User features": [1.0, 4.0, 0.0],
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},
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"c5": {
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"Category": "type-b",
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"User features": [1.0, 5.0, 0.0],
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},
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}
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}
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x_expected = {
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"type-a": [
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[1, 1],
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[1, 2],
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[1, 3],
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[1.0, 1.0],
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[1.0, 2.0],
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[1.0, 3.0],
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],
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"type-b": [
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[1, 4, 0],
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[1, 5, 0],
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[1.0, 4.0, 0.0],
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[1.0, 5.0, 0.0],
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],
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}
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y_expected = {
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@@ -17,9 +17,11 @@ from tests.fixtures.knapsack import get_test_pyomo_instances
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def test_xy_sample() -> None:
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instance = cast(Instance, Mock(spec=Instance))
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instance.get_instance_features = Mock( # type: ignore
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return_value=[1.0, 2.0],
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)
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instance.features = {
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"Instance": {
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"User features": [1.0, 2.0],
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}
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}
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sample: TrainingSample = {
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"Lower bound": 1.0,
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"Upper bound": 2.0,
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