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https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Replace instance.samples by instance.get/push_sample
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@@ -25,7 +25,7 @@ E = 0.1
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@pytest.fixture
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def training_instances() -> List[Instance]:
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instances = [cast(Instance, Mock(spec=Instance)) for _ in range(2)]
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instances[0].samples = [
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samples_0 = [
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Sample(
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after_load=Features(instance=InstanceFeatures()),
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after_mip=Features(extra={"lazy_enforced": {"c1", "c2"}}),
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@@ -35,12 +35,9 @@ def training_instances() -> List[Instance]:
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after_mip=Features(extra={"lazy_enforced": {"c2", "c3"}}),
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),
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]
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instances[0].samples[0].after_load.instance.to_list = Mock( # type: ignore
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return_value=[5.0]
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)
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instances[0].samples[1].after_load.instance.to_list = Mock( # type: ignore
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return_value=[5.0]
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)
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samples_0[0].after_load.instance.to_list = Mock(return_value=[5.0]) # type: ignore
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samples_0[1].after_load.instance.to_list = Mock(return_value=[5.0]) # type: ignore
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instances[0].get_samples = Mock(return_value=samples_0) # type: ignore
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instances[0].get_constraint_categories = Mock( # type: ignore
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return_value={
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"c1": "type-a",
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@@ -57,15 +54,14 @@ def training_instances() -> List[Instance]:
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"c4": [3.0, 4.0],
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}
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)
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instances[1].samples = [
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samples_1 = [
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Sample(
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after_load=Features(instance=InstanceFeatures()),
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after_mip=Features(extra={"lazy_enforced": {"c3", "c4"}}),
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)
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]
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instances[1].samples[0].after_load.instance.to_list = Mock( # type: ignore
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return_value=[8.0]
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)
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samples_1[0].after_load.instance.to_list = Mock(return_value=[8.0]) # type: ignore
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instances[1].get_samples = Mock(return_value=samples_1) # type: ignore
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instances[1].get_constraint_categories = Mock( # type: ignore
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return_value={
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"c1": None,
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@@ -97,7 +93,7 @@ def test_sample_xy(training_instances: List[Instance]) -> None:
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}
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x_actual, y_actual = comp.sample_xy(
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training_instances[0],
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training_instances[0].samples[0],
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training_instances[0].get_samples()[0],
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)
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assert_equals(x_actual, x_expected)
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assert_equals(y_actual, y_expected)
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@@ -184,12 +180,12 @@ def test_sample_predict_evaluate(training_instances: List[Instance]) -> None:
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)
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pred = comp.sample_predict(
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training_instances[0],
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training_instances[0].samples[0],
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training_instances[0].get_samples()[0],
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)
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assert pred == ["c1", "c4"]
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ev = comp.sample_evaluate(
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training_instances[0],
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training_instances[0].samples[0],
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training_instances[0].get_samples()[0],
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)
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assert ev == {
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"type-a": classifier_evaluation_dict(tp=1, fp=0, tn=0, fn=1),
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@@ -80,7 +80,7 @@ def test_usage(
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solver: LearningSolver,
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) -> None:
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stats_before = solver.solve(stab_instance)
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sample = stab_instance.samples[0]
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sample = stab_instance.get_samples()[0]
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assert sample.after_mip is not None
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assert sample.after_mip.extra is not None
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assert len(sample.after_mip.extra["user_cuts_enforced"]) > 0
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@@ -70,7 +70,7 @@ def sample() -> Sample:
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@pytest.fixture
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def instance(sample: Sample) -> Instance:
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instance = Mock(spec=Instance)
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instance.samples = [sample]
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instance.get_samples = Mock(return_value=[sample]) # type: ignore
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instance.has_static_lazy_constraints = Mock(return_value=True)
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return instance
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@@ -111,7 +111,7 @@ def test_usage_with_solver(instance: Instance) -> None:
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)
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stats: LearningSolveStats = {}
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sample = instance.samples[0]
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sample = instance.get_samples()[0]
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assert sample.after_load is not None
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assert sample.after_mip is not None
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assert sample.after_mip.extra is not None
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