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538 lines
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<article id="content">
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<header>
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<h1 class="title">Module <code>miplearn.components.tests.test_lazy_static</code></h1>
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</header>
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<section id="section-intro">
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python"># MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
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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 unittest.mock import Mock, call
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from miplearn.classifiers import Classifier
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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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def test_usage_with_solver():
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solver = Mock(spec=LearningSolver)
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solver.use_lazy_cb = False
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solver.gap_tolerance = 1e-4
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internal = solver.internal_solver = Mock(spec=InternalSolver)
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internal.get_constraint_ids = Mock(return_value=["c1", "c2", "c3", "c4"])
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internal.extract_constraint = Mock(side_effect=lambda cid: "<%s>" % cid)
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internal.is_constraint_satisfied = Mock(return_value=False)
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instance = Mock(spec=Instance)
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instance.has_static_lazy_constraints = Mock(return_value=True)
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instance.is_constraint_lazy = Mock(
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side_effect=lambda cid: {
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"c1": False,
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"c2": True,
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"c3": True,
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"c4": True,
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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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"c2": [1.0, 0.0],
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"c3": [0.5, 0.5],
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"c4": [1.0],
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}[cid]
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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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"c2": "type-a",
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"c3": "type-a",
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"c4": "type-b",
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}[cid]
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)
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component = StaticLazyConstraintsComponent(
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threshold=0.90,
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use_two_phase_gap=False,
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violation_tolerance=1.0,
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)
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component.classifiers = {
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"type-a": Mock(spec=Classifier),
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"type-b": Mock(spec=Classifier),
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}
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component.classifiers["type-a"].predict_proba = Mock(
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return_value=[
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[0.20, 0.80],
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[0.05, 0.95],
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]
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)
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component.classifiers["type-b"].predict_proba = Mock(
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return_value=[
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[0.02, 0.98],
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]
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)
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# LearningSolver calls before_solve
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component.before_solve(solver, instance, None)
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# Should ask if instance has static lazy constraints
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instance.has_static_lazy_constraints.assert_called_once()
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# Should ask internal solver for a list of constraints in the model
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internal.get_constraint_ids.assert_called_once()
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# Should ask if each constraint in the model is lazy
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instance.is_constraint_lazy.assert_has_calls(
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[
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call("c1"),
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call("c2"),
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call("c3"),
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call("c4"),
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]
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)
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# For the lazy ones, should ask for features
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instance.get_constraint_features.assert_has_calls(
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[
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call("c2"),
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call("c3"),
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call("c4"),
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]
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)
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# Should also ask for categories
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assert instance.get_constraint_category.call_count == 3
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instance.get_constraint_category.assert_has_calls(
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[
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call("c2"),
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call("c3"),
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call("c4"),
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]
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)
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# Should ask internal solver to remove constraints identified as lazy
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assert internal.extract_constraint.call_count == 3
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internal.extract_constraint.assert_has_calls(
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[
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call("c2"),
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call("c3"),
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call("c4"),
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]
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)
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# Should ask ML to predict whether each lazy constraint should be enforced
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component.classifiers["type-a"].predict_proba.assert_called_once_with(
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[[1.0, 0.0], [0.5, 0.5]]
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)
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component.classifiers["type-b"].predict_proba.assert_called_once_with([[1.0]])
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# For the ones that should be enforced, should ask solver to re-add them
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# to the formulation. The remaining ones should remain in the pool.
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assert internal.add_constraint.call_count == 2
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internal.add_constraint.assert_has_calls(
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[
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call("<c3>"),
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call("<c4>"),
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]
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)
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internal.add_constraint.reset_mock()
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# LearningSolver calls after_iteration (first time)
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should_repeat = component.iteration_cb(solver, instance, None)
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assert should_repeat
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# Should ask internal solver to verify if constraints in the pool are
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# satisfied and add the ones that are not
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internal.is_constraint_satisfied.assert_called_once_with("<c2>", tol=1.0)
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internal.is_constraint_satisfied.reset_mock()
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internal.add_constraint.assert_called_once_with("<c2>")
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internal.add_constraint.reset_mock()
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# LearningSolver calls after_iteration (second time)
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should_repeat = component.iteration_cb(solver, instance, None)
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assert not should_repeat
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# The lazy constraint pool should be empty by now, so no calls should be made
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internal.is_constraint_satisfied.assert_not_called()
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internal.add_constraint.assert_not_called()
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# Should update instance object
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assert instance.found_violated_lazy_constraints == ["c3", "c4", "c2"]
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def test_fit():
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instance_1 = Mock(spec=Instance)
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instance_1.found_violated_lazy_constraints = ["c1", "c2", "c4", "c5"]
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instance_1.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_1.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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instance_2 = Mock(spec=Instance)
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instance_2.found_violated_lazy_constraints = ["c2", "c3", "c4"]
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instance_2.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_2.get_constraint_features = Mock(
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side_effect=lambda cid: {
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"c1": [2, 1],
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"c2": [2, 2],
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"c3": [2, 3],
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"c4": [2, 4, 0],
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"c5": [2, 5, 0],
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}[cid]
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)
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instances = [instance_1, instance_2]
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component = StaticLazyConstraintsComponent()
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component.classifiers = {
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"type-a": Mock(spec=Classifier),
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"type-b": Mock(spec=Classifier),
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}
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expected_constraints = {
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"type-a": ["c1", "c2", "c3"],
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"type-b": ["c4", "c5"],
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}
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expected_x = {
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"type-a": [[1, 1], [1, 2], [1, 3], [2, 1], [2, 2], [2, 3]],
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"type-b": [[1, 4, 0], [1, 5, 0], [2, 4, 0], [2, 5, 0]],
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}
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expected_y = {
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"type-a": [[0, 1], [0, 1], [1, 0], [1, 0], [0, 1], [0, 1]],
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"type-b": [[0, 1], [0, 1], [0, 1], [1, 0]],
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}
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assert component._collect_constraints(instances) == expected_constraints
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assert component.x(instances) == expected_x
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assert component.y(instances) == expected_y
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component.fit(instances)
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component.classifiers["type-a"].fit.assert_called_once_with(
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expected_x["type-a"],
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expected_y["type-a"],
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)
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component.classifiers["type-b"].fit.assert_called_once_with(
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expected_x["type-b"],
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expected_y["type-b"],
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)</code></pre>
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</details>
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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<h2 class="section-title" id="header-functions">Functions</h2>
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<dl>
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<dt id="miplearn.components.tests.test_lazy_static.test_fit"><code class="name flex">
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<span>def <span class="ident">test_fit</span></span>(<span>)</span>
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</code></dt>
|
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<dd>
|
|
<section class="desc"></section>
|
|
<details class="source">
|
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def test_fit():
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instance_1 = Mock(spec=Instance)
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instance_1.found_violated_lazy_constraints = ["c1", "c2", "c4", "c5"]
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instance_1.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_1.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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|
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instance_2 = Mock(spec=Instance)
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instance_2.found_violated_lazy_constraints = ["c2", "c3", "c4"]
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instance_2.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_2.get_constraint_features = Mock(
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side_effect=lambda cid: {
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"c1": [2, 1],
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"c2": [2, 2],
|
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"c3": [2, 3],
|
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"c4": [2, 4, 0],
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"c5": [2, 5, 0],
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}[cid]
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)
|
|
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instances = [instance_1, instance_2]
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component = StaticLazyConstraintsComponent()
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component.classifiers = {
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"type-a": Mock(spec=Classifier),
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"type-b": Mock(spec=Classifier),
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}
|
|
|
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expected_constraints = {
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"type-a": ["c1", "c2", "c3"],
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"type-b": ["c4", "c5"],
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}
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expected_x = {
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"type-a": [[1, 1], [1, 2], [1, 3], [2, 1], [2, 2], [2, 3]],
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"type-b": [[1, 4, 0], [1, 5, 0], [2, 4, 0], [2, 5, 0]],
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}
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expected_y = {
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"type-a": [[0, 1], [0, 1], [1, 0], [1, 0], [0, 1], [0, 1]],
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"type-b": [[0, 1], [0, 1], [0, 1], [1, 0]],
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}
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assert component._collect_constraints(instances) == expected_constraints
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assert component.x(instances) == expected_x
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assert component.y(instances) == expected_y
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component.fit(instances)
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component.classifiers["type-a"].fit.assert_called_once_with(
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expected_x["type-a"],
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expected_y["type-a"],
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)
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component.classifiers["type-b"].fit.assert_called_once_with(
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expected_x["type-b"],
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expected_y["type-b"],
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)</code></pre>
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</details>
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</dd>
|
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<dt id="miplearn.components.tests.test_lazy_static.test_usage_with_solver"><code class="name flex">
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<span>def <span class="ident">test_usage_with_solver</span></span>(<span>)</span>
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</code></dt>
|
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<dd>
|
|
<section class="desc"></section>
|
|
<details class="source">
|
|
<summary>
|
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<span>Expand source code</span>
|
|
</summary>
|
|
<pre><code class="python">def test_usage_with_solver():
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solver = Mock(spec=LearningSolver)
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solver.use_lazy_cb = False
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solver.gap_tolerance = 1e-4
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internal = solver.internal_solver = Mock(spec=InternalSolver)
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internal.get_constraint_ids = Mock(return_value=["c1", "c2", "c3", "c4"])
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internal.extract_constraint = Mock(side_effect=lambda cid: "<%s>" % cid)
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internal.is_constraint_satisfied = Mock(return_value=False)
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instance = Mock(spec=Instance)
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instance.has_static_lazy_constraints = Mock(return_value=True)
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instance.is_constraint_lazy = Mock(
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side_effect=lambda cid: {
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"c1": False,
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"c2": True,
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"c3": True,
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"c4": True,
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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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"c2": [1.0, 0.0],
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"c3": [0.5, 0.5],
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"c4": [1.0],
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}[cid]
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)
|
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instance.get_constraint_category = Mock(
|
|
side_effect=lambda cid: {
|
|
"c2": "type-a",
|
|
"c3": "type-a",
|
|
"c4": "type-b",
|
|
}[cid]
|
|
)
|
|
|
|
component = StaticLazyConstraintsComponent(
|
|
threshold=0.90,
|
|
use_two_phase_gap=False,
|
|
violation_tolerance=1.0,
|
|
)
|
|
component.classifiers = {
|
|
"type-a": Mock(spec=Classifier),
|
|
"type-b": Mock(spec=Classifier),
|
|
}
|
|
component.classifiers["type-a"].predict_proba = Mock(
|
|
return_value=[
|
|
[0.20, 0.80],
|
|
[0.05, 0.95],
|
|
]
|
|
)
|
|
component.classifiers["type-b"].predict_proba = Mock(
|
|
return_value=[
|
|
[0.02, 0.98],
|
|
]
|
|
)
|
|
|
|
# LearningSolver calls before_solve
|
|
component.before_solve(solver, instance, None)
|
|
|
|
# Should ask if instance has static lazy constraints
|
|
instance.has_static_lazy_constraints.assert_called_once()
|
|
|
|
# Should ask internal solver for a list of constraints in the model
|
|
internal.get_constraint_ids.assert_called_once()
|
|
|
|
# Should ask if each constraint in the model is lazy
|
|
instance.is_constraint_lazy.assert_has_calls(
|
|
[
|
|
call("c1"),
|
|
call("c2"),
|
|
call("c3"),
|
|
call("c4"),
|
|
]
|
|
)
|
|
|
|
# For the lazy ones, should ask for features
|
|
instance.get_constraint_features.assert_has_calls(
|
|
[
|
|
call("c2"),
|
|
call("c3"),
|
|
call("c4"),
|
|
]
|
|
)
|
|
|
|
# Should also ask for categories
|
|
assert instance.get_constraint_category.call_count == 3
|
|
instance.get_constraint_category.assert_has_calls(
|
|
[
|
|
call("c2"),
|
|
call("c3"),
|
|
call("c4"),
|
|
]
|
|
)
|
|
|
|
# Should ask internal solver to remove constraints identified as lazy
|
|
assert internal.extract_constraint.call_count == 3
|
|
internal.extract_constraint.assert_has_calls(
|
|
[
|
|
call("c2"),
|
|
call("c3"),
|
|
call("c4"),
|
|
]
|
|
)
|
|
|
|
# Should ask ML to predict whether each lazy constraint should be enforced
|
|
component.classifiers["type-a"].predict_proba.assert_called_once_with(
|
|
[[1.0, 0.0], [0.5, 0.5]]
|
|
)
|
|
component.classifiers["type-b"].predict_proba.assert_called_once_with([[1.0]])
|
|
|
|
# For the ones that should be enforced, should ask solver to re-add them
|
|
# to the formulation. The remaining ones should remain in the pool.
|
|
assert internal.add_constraint.call_count == 2
|
|
internal.add_constraint.assert_has_calls(
|
|
[
|
|
call("<c3>"),
|
|
call("<c4>"),
|
|
]
|
|
)
|
|
internal.add_constraint.reset_mock()
|
|
|
|
# LearningSolver calls after_iteration (first time)
|
|
should_repeat = component.iteration_cb(solver, instance, None)
|
|
assert should_repeat
|
|
|
|
# Should ask internal solver to verify if constraints in the pool are
|
|
# satisfied and add the ones that are not
|
|
internal.is_constraint_satisfied.assert_called_once_with("<c2>", tol=1.0)
|
|
internal.is_constraint_satisfied.reset_mock()
|
|
internal.add_constraint.assert_called_once_with("<c2>")
|
|
internal.add_constraint.reset_mock()
|
|
|
|
# LearningSolver calls after_iteration (second time)
|
|
should_repeat = component.iteration_cb(solver, instance, None)
|
|
assert not should_repeat
|
|
|
|
# The lazy constraint pool should be empty by now, so no calls should be made
|
|
internal.is_constraint_satisfied.assert_not_called()
|
|
internal.add_constraint.assert_not_called()
|
|
|
|
# Should update instance object
|
|
assert instance.found_violated_lazy_constraints == ["c3", "c4", "c2"]</code></pre>
|
|
</details>
|
|
</dd>
|
|
</dl>
|
|
</section>
|
|
<section>
|
|
</section>
|
|
</article>
|
|
<nav id="sidebar">
|
|
<h1>Index</h1>
|
|
<div class="toc">
|
|
<ul></ul>
|
|
</div>
|
|
<ul id="index">
|
|
<li><h3>Super-module</h3>
|
|
<ul>
|
|
<li><code><a title="miplearn.components.tests" href="index.html">miplearn.components.tests</a></code></li>
|
|
</ul>
|
|
</li>
|
|
<li><h3><a href="#header-functions">Functions</a></h3>
|
|
<ul class="">
|
|
<li><code><a title="miplearn.components.tests.test_lazy_static.test_fit" href="#miplearn.components.tests.test_lazy_static.test_fit">test_fit</a></code></li>
|
|
<li><code><a title="miplearn.components.tests.test_lazy_static.test_usage_with_solver" href="#miplearn.components.tests.test_lazy_static.test_usage_with_solver">test_usage_with_solver</a></code></li>
|
|
</ul>
|
|
</li>
|
|
</ul>
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|
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