mirror of
https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 09:28:51 -06:00
Rename xy to xy_sample
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@@ -137,7 +137,7 @@ class Component(ABC):
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return
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@staticmethod
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def xy(
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def xy_sample(
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instance: Any,
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training_sample: TrainingSample,
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) -> Tuple[Dict, Dict]:
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@@ -163,7 +163,7 @@ class ObjectiveValueComponent(Component):
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return ev
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@staticmethod
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def xy(
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def xy_sample(
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instance: Any,
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sample: TrainingSample,
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) -> Tuple[Dict, Dict]:
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@@ -298,7 +298,7 @@ class PrimalSolutionComponent(Component):
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return [opt_value < 0.5, opt_value > 0.5]
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@staticmethod
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def xy(
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def xy_sample(
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instance: Any,
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sample: TrainingSample,
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) -> Tuple[Dict, Dict]:
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@@ -15,7 +15,7 @@ from miplearn.types import TrainingSample
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from tests.fixtures.knapsack import get_test_pyomo_instances
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def test_xy() -> None:
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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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@@ -33,7 +33,7 @@ def test_xy() -> None:
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"Lower bound": [[1.0]],
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"Upper bound": [[2.0]],
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}
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x_actual, y_actual = ObjectiveValueComponent.xy(instance, sample)
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x_actual, y_actual = ObjectiveValueComponent.xy_sample(instance, sample)
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assert x_actual == x_expected
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assert y_actual == y_expected
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@@ -14,7 +14,7 @@ from miplearn.instance import Instance
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from miplearn.types import TrainingSample
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def test_xy_with_lp_solution() -> None:
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def test_xy_sample_with_lp_solution() -> None:
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comp = PrimalSolutionComponent()
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instance = cast(Instance, Mock(spec=Instance))
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instance.get_variable_category = Mock( # type: ignore
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@@ -69,14 +69,14 @@ def test_xy_with_lp_solution() -> None:
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]
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)
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}
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x_actual, y_actual = PrimalSolutionComponent.xy(instance, sample)
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x_actual, y_actual = PrimalSolutionComponent.xy_sample(instance, sample)
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assert len(x_actual.keys()) == 1
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assert len(y_actual.keys()) == 1
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assert_array_equal(x_actual["default"], x_expected["default"])
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assert_array_equal(y_actual["default"], y_expected["default"])
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def test_xy_without_lp_solution() -> None:
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def test_xy_sample_without_lp_solution() -> None:
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comp = PrimalSolutionComponent()
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instance = cast(Instance, Mock(spec=Instance))
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instance.get_variable_category = Mock( # type: ignore
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@@ -123,7 +123,7 @@ def test_xy_without_lp_solution() -> None:
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]
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)
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}
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x_actual, y_actual = comp.xy(instance, sample)
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x_actual, y_actual = comp.xy_sample(instance, sample)
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assert len(x_actual.keys()) == 1
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assert len(y_actual.keys()) == 1
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assert_array_equal(x_actual["default"], x_expected["default"])
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