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55 lines
1.7 KiB
55 lines
1.7 KiB
# MIPLearn, an extensible framework for Learning-Enhanced Mixed-Integer Optimization
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# Copyright (C) 2019-2020 Argonne National Laboratory. All rights reserved.
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# Written by Alinson S. Xavier <axavier@anl.gov>
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from miplearn.problems.knapsack import KnapsackInstance
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from miplearn import (UserFeaturesExtractor,
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SolutionExtractor)
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import numpy as np
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import pyomo.environ as pe
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def _get_instances():
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return [
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KnapsackInstance(weights=[1., 2., 3.],
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prices=[10., 20., 30.],
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capacity=2.5,
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),
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KnapsackInstance(weights=[3., 4., 5.],
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prices=[20., 30., 40.],
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capacity=4.5,
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),
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]
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def test_user_features():
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instances = _get_instances()
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extractor = UserFeaturesExtractor()
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features = extractor.extract(instances)
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assert isinstance(features, dict)
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assert "default" in features.keys()
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assert isinstance(features["default"], np.ndarray)
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assert features["default"].shape == (6, 4)
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def test_solution_extractor():
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instances = _get_instances()
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models = [instance.to_model() for instance in instances]
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for model in models:
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solver = pe.SolverFactory("cbc")
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solver.solve(model)
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extractor = SolutionExtractor()
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features = extractor.extract(instances, models)
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assert isinstance(features, dict)
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assert "default" in features.keys()
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assert isinstance(features["default"], np.ndarray)
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assert features["default"].shape == (6, 2)
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assert features["default"].ravel().tolist() == [
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1., 0.,
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0., 1.,
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1., 0.,
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1., 0.,
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0., 1.,
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1., 0.,
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]
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