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@ -9,16 +9,10 @@ from sklearn.preprocessing import MultiLabelBinarizer
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from miplearn.extractors.abstract import FeaturesExtractor
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from miplearn.h5 import H5File
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from miplearn.solvers.gurobi import GurobiModel
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from miplearn.solvers.abstract import AbstractModel
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logger = logging.getLogger(__name__)
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# TODO: Replace GurobiModel by AbstractModel
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# TODO: fix_violations: remove model.inner
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# TODO: fix_violations: remove `where`
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# TODO: Write documentation
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# TODO: Implement ExpertLazyConstrComponent
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class MemorizingLazyConstrComponent:
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def __init__(self, clf: Any, extractor: FeaturesExtractor) -> None:
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@ -79,13 +73,14 @@ class MemorizingLazyConstrComponent:
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def before_mip(
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self,
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test_h5: str,
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model: GurobiModel,
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model: AbstractModel,
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stats: Dict[str, Any],
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) -> None:
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assert self.constrs_ is not None
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if model.lazy_enforce is None:
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return
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assert self.constrs_ is not None
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# Read features
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with H5File(test_h5, "r") as h5:
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x_sample = self.extractor.get_instance_features(h5)
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@ -101,5 +96,5 @@ class MemorizingLazyConstrComponent:
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# Enforce constraints
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violations = [self.constrs_[i] for (i, yi) in enumerate(y) if yi > 0.5]
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logger.info(f"Enforcing {len(violations)} constraints ahead-of-time...")
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model.lazy_enforce(model, violations, "aot")
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model.lazy_enforce(model, violations)
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stats["Lazy Constraints: AOT"] = len(violations)
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