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https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Add StaticLazyComponent.xy
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@@ -5,12 +5,14 @@
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import logging
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import sys
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from copy import deepcopy
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from typing import Any, Dict, Tuple
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import numpy as np
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from tqdm.auto import tqdm
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from miplearn.classifiers.counting import CountingClassifier
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from miplearn.components.component import Component
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from miplearn.types import TrainingSample
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logger = logging.getLogger(__name__)
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@@ -202,3 +204,26 @@ class StaticLazyConstraintsComponent(Component):
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else:
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result[category].append([1, 0])
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return result
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@staticmethod
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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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x: Dict = {}
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y: Dict = {}
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if "LazyStatic: All" not in sample:
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return x, y
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for cid in sorted(sample["LazyStatic: All"]):
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category = instance.get_constraint_category(cid)
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if category is None:
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continue
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if category not in x:
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x[category] = []
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y[category] = []
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x[category] += [instance.get_constraint_features(cid)]
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if cid in sample["LazyStatic: Enforced"]:
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y[category] += [[False, True]]
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else:
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y[category] += [[True, False]]
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return x, y
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@@ -2,7 +2,7 @@
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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from typing import Optional, Dict, Callable, Any, Union, Tuple, List
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from typing import Optional, Dict, Callable, Any, Union, Tuple, List, Set
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from mypy_extensions import TypedDict
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@@ -16,6 +16,8 @@ TrainingSample = TypedDict(
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"LP log": str,
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"LP solution": Optional[Solution],
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"LP value": Optional[float],
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"LazyStatic: All": Set[str],
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"LazyStatic: Enforced": Set[str],
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"Lower bound": Optional[float],
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"MIP log": str,
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"Solution": Optional[Solution],
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@@ -9,6 +9,7 @@ from miplearn.components.lazy_static import StaticLazyConstraintsComponent
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from miplearn.instance import Instance
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from miplearn.solvers.internal import InternalSolver
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from miplearn.solvers.learning import LearningSolver
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from miplearn.types import TrainingSample
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def test_usage_with_solver():
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@@ -230,3 +231,54 @@ def test_fit():
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expected_x["type-b"],
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expected_y["type-b"],
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)
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def test_xy_sample() -> None:
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instance = Mock(spec=Instance)
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sample: TrainingSample = {
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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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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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],
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"type-b": [
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[1, 4, 0],
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[1, 5, 0],
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],
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}
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y_expected = {
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"type-a": [
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[False, True],
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[False, True],
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[True, False],
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],
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"type-b": [
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[False, True],
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[False, True],
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],
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}
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x_actual, y_actual = StaticLazyConstraintsComponent.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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