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134 lines
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<body>
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<main>
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<article id="content">
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<header>
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<h1 class="title">Module <code>miplearn.tests.test_benchmark</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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import os.path
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from miplearn.benchmark import BenchmarkRunner
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from miplearn.problems.stab import MaxWeightStableSetGenerator
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from scipy.stats import randint
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from miplearn.solvers.learning import LearningSolver
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def test_benchmark():
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# Generate training and test instances
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generator = MaxWeightStableSetGenerator(n=randint(low=25, high=26))
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train_instances = generator.generate(5)
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test_instances = generator.generate(3)
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# Training phase...
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training_solver = LearningSolver()
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training_solver.parallel_solve(train_instances, n_jobs=10)
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# Test phase...
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test_solvers = {
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"Strategy A": LearningSolver(),
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"Strategy B": LearningSolver(),
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}
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benchmark = BenchmarkRunner(test_solvers)
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benchmark.fit(train_instances)
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benchmark.parallel_solve(test_instances, n_jobs=2, n_trials=2)
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assert benchmark.results.values.shape == (12, 14)
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benchmark.write_csv("/tmp/benchmark.csv")
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assert os.path.isfile("/tmp/benchmark.csv")</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.tests.test_benchmark.test_benchmark"><code class="name flex">
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<span>def <span class="ident">test_benchmark</span></span>(<span>)</span>
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</code></dt>
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<dd>
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<section class="desc"></section>
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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">def test_benchmark():
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# Generate training and test instances
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generator = MaxWeightStableSetGenerator(n=randint(low=25, high=26))
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train_instances = generator.generate(5)
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test_instances = generator.generate(3)
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# Training phase...
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training_solver = LearningSolver()
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training_solver.parallel_solve(train_instances, n_jobs=10)
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# Test phase...
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test_solvers = {
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"Strategy A": LearningSolver(),
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"Strategy B": LearningSolver(),
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}
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benchmark = BenchmarkRunner(test_solvers)
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benchmark.fit(train_instances)
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benchmark.parallel_solve(test_instances, n_jobs=2, n_trials=2)
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assert benchmark.results.values.shape == (12, 14)
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benchmark.write_csv("/tmp/benchmark.csv")
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assert os.path.isfile("/tmp/benchmark.csv")</code></pre>
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</details>
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</dd>
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</dl>
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</section>
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<section>
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</section>
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</article>
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<nav id="sidebar">
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<h1>Index</h1>
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<div class="toc">
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<ul></ul>
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</div>
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<ul id="index">
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<li><h3>Super-module</h3>
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<ul>
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<li><code><a title="miplearn.tests" href="index.html">miplearn.tests</a></code></li>
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</ul>
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</li>
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<li><h3><a href="#header-functions">Functions</a></h3>
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<ul class="">
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<li><code><a title="miplearn.tests.test_benchmark.test_benchmark" href="#miplearn.tests.test_benchmark.test_benchmark">test_benchmark</a></code></li>
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</ul>
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</li>
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