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https://github.com/ethereum/solidity
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[yul-phaser] AlgorithmRunner: Create a structure to store runner's options
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@ -50,6 +50,7 @@ class AlgorithmRunnerFixture
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protected:
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shared_ptr<FitnessMetric> m_fitnessMetric = make_shared<ChromosomeLengthMetric>();
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output_test_stream m_output;
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AlgorithmRunner::Options m_options;
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};
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BOOST_AUTO_TEST_SUITE(Phaser)
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@ -57,33 +58,38 @@ BOOST_AUTO_TEST_SUITE(AlgorithmRunnerTest)
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BOOST_FIXTURE_TEST_CASE(run_should_call_runNextRound_once_per_round, AlgorithmRunnerFixture)
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{
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AlgorithmRunner runner(Population(m_fitnessMetric), m_output);
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m_options.maxRounds = 5;
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AlgorithmRunner runner(Population(m_fitnessMetric), m_options, m_output);
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DummyAlgorithm algorithm;
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BOOST_TEST(algorithm.m_currentRound == 0);
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runner.run(algorithm, 10);
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runner.run(algorithm);
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BOOST_TEST(algorithm.m_currentRound == 5);
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runner.run(algorithm);
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BOOST_TEST(algorithm.m_currentRound == 10);
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runner.run(algorithm, 3);
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BOOST_TEST(algorithm.m_currentRound == 13);
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}
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BOOST_FIXTURE_TEST_CASE(run_should_print_the_top_chromosome, AlgorithmRunnerFixture)
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{
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// run() is allowed to print more but should at least print the first one
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m_options.maxRounds = 1;
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AlgorithmRunner runner(
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// NOTE: Chromosomes chosen so that they're not substrings of each other and are not
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// words likely to appear in the output in normal circumstances.
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Population(m_fitnessMetric, {Chromosome("fcCUnDve"), Chromosome("jsxIOo"), Chromosome("ighTLM")}),
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m_options,
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m_output
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);
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DummyAlgorithm algorithm;
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BOOST_TEST(m_output.is_empty());
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runner.run(algorithm, 1);
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runner.run(algorithm);
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BOOST_TEST(countSubstringOccurrences(m_output.str(), toString(runner.population().individuals()[0].chromosome)) == 1);
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runner.run(algorithm, 3);
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runner.run(algorithm);
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runner.run(algorithm);
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runner.run(algorithm);
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BOOST_TEST(countSubstringOccurrences(m_output.str(), toString(runner.population().individuals()[0].chromosome)) == 4);
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}
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@ -20,9 +20,9 @@
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using namespace std;
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using namespace solidity::phaser;
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void AlgorithmRunner::run(GeneticAlgorithm& _algorithm, optional<size_t> _numRounds)
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void AlgorithmRunner::run(GeneticAlgorithm& _algorithm)
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{
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for (size_t round = 0; !_numRounds.has_value() || round < _numRounds.value(); ++round)
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for (size_t round = 0; !m_options.maxRounds.has_value() || round < m_options.maxRounds.value(); ++round)
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{
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m_population = _algorithm.runNextRound(m_population);
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@ -39,19 +39,28 @@ namespace solidity::phaser
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class AlgorithmRunner
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{
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public:
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struct Options
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{
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std::optional<size_t> maxRounds = std::nullopt;
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};
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AlgorithmRunner(
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Population _initialPopulation,
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Options _options,
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std::ostream& _outputStream
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):
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m_population(std::move(_initialPopulation)),
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m_options(std::move(_options)),
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m_outputStream(_outputStream) {}
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void run(GeneticAlgorithm& _algorithm, std::optional<size_t> _numRounds = std::nullopt);
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void run(GeneticAlgorithm& _algorithm);
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Options const& options() const { return m_options; }
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Population const& population() const { return m_population; }
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private:
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Population m_population;
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Options m_options;
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std::ostream& m_outputStream;
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};
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@ -182,7 +182,7 @@ void Phaser::runAlgorithm(string const& _sourcePath, Algorithm _algorithm)
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maxChromosomeLength
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);
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AlgorithmRunner algorithmRunner(population, cout);
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AlgorithmRunner algorithmRunner(population, AlgorithmRunner::Options{}, cout);
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switch (_algorithm)
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{
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case Algorithm::Random:
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