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[yul-phaser] Add --show-only-top-chromosome and --hide-round options

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This commit is contained in:
Kamil Śliwak
2020-03-25 10:21:18 +01:00
parent ec10a3d378
commit c875b3d944
4 changed files with 144 additions and 3 deletions
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test/yulPhaser/AlgorithmRunner.cpp
+100
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@@ -78,6 +78,12 @@ protected:
output << "Fitness:" << individual.fitness << ",";
output << "optimisations:" << individual.chromosome;
return output.str();
}
string topChromosomePattern(size_t roundNumber, Individual const& individual) const
{
ostringstream output;
output << roundNumber << "\\|" << individualPattern(individual);
return output.str();
}
@@ -135,6 +141,8 @@ BOOST_FIXTURE_TEST_CASE(run_should_print_round_summary_after_each_round, Algorit
{
m_options.maxRounds = 1;
m_options.showInitialPopulation = false;
m_options.showOnlyTopChromosome = false;
m_options.showRoundInfo = true;
AlgorithmRunner runner(m_population, {}, m_options, m_output);
RandomisingAlgorithm algorithm;
@@ -150,10 +158,83 @@ BOOST_FIXTURE_TEST_CASE(run_should_print_round_summary_after_each_round, Algorit
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_not_print_round_summary_if_not_requested, AlgorithmRunnerFixture)
{
m_options.maxRounds = 1;
m_options.showInitialPopulation = false;
m_options.showOnlyTopChromosome = false;
m_options.showRoundInfo = false;
AlgorithmRunner runner(m_population, {}, m_options, m_output);
RandomisingAlgorithm algorithm;
runner.run(algorithm);
BOOST_TEST(nextLineMatches(m_output, regex("")));
for (auto const& individual: runner.population().individuals())
BOOST_TEST(nextLineMatches(m_output, regex(individualPattern(individual))));
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_not_print_population_if_its_empty, AlgorithmRunnerFixture)
{
m_options.maxRounds = 1;
m_options.showInitialPopulation = false;
m_options.showOnlyTopChromosome = false;
m_options.showRoundInfo = true;
AlgorithmRunner runner(Population(m_fitnessMetric), {}, m_options, m_output);
RandomisingAlgorithm algorithm;
runner.run(algorithm);
BOOST_TEST(nextLineMatches(m_output, RoundSummaryRegex));
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_print_only_top_chromosome_if_requested, AlgorithmRunnerFixture)
{
m_options.maxRounds = 1;
m_options.showInitialPopulation = false;
m_options.showOnlyTopChromosome = true;
m_options.showRoundInfo = true;
AlgorithmRunner runner(m_population, {}, m_options, m_output);
RandomisingAlgorithm algorithm;
runner.run(algorithm);
BOOST_TEST(nextLineMatches(m_output, regex(topChromosomePattern(1, runner.population().individuals()[0]))));
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_not_print_round_number_for_top_chromosome_if_round_info_not_requested, AlgorithmRunnerFixture)
{
m_options.maxRounds = 1;
m_options.showInitialPopulation = false;
m_options.showOnlyTopChromosome = true;
m_options.showRoundInfo = false;
AlgorithmRunner runner(m_population, {}, m_options, m_output);
RandomisingAlgorithm algorithm;
runner.run(algorithm);
BOOST_TEST(nextLineMatches(m_output, regex(individualPattern(runner.population().individuals()[0]))));
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_not_print_population_if_its_empty_and_only_top_chromosome_requested, AlgorithmRunnerFixture)
{
m_options.maxRounds = 3;
m_options.showRoundInfo = true;
m_options.showInitialPopulation = false;
m_options.showOnlyTopChromosome = true;
AlgorithmRunner runner(Population(m_fitnessMetric), {}, m_options, m_output);
RandomisingAlgorithm algorithm;
runner.run(algorithm);
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_print_initial_population_if_requested, AlgorithmRunnerFixture)
{
m_options.maxRounds = 0;
m_options.showInitialPopulation = true;
m_options.showRoundInfo = false;
m_options.showOnlyTopChromosome = false;
RandomisingAlgorithm algorithm;
AlgorithmRunner runner(m_population, {}, m_options, m_output);
@@ -169,6 +250,8 @@ BOOST_FIXTURE_TEST_CASE(run_should_not_print_initial_population_if_not_requested
{
m_options.maxRounds = 0;
m_options.showInitialPopulation = false;
m_options.showRoundInfo = false;
m_options.showOnlyTopChromosome = false;
RandomisingAlgorithm algorithm;
AlgorithmRunner runner(m_population, {}, m_options, m_output);
@@ -177,6 +260,23 @@ BOOST_FIXTURE_TEST_CASE(run_should_not_print_initial_population_if_not_requested
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_print_whole_initial_population_even_if_only_top_chromosome_requested, AlgorithmRunnerFixture)
{
m_options.maxRounds = 0;
m_options.showInitialPopulation = true;
m_options.showRoundInfo = false;
m_options.showOnlyTopChromosome = true;
RandomisingAlgorithm algorithm;
AlgorithmRunner runner(m_population, {}, m_options, m_output);
runner.run(algorithm);
BOOST_TEST(nextLineMatches(m_output, InitialPopulationHeaderRegex));
for (auto const& individual: m_population.individuals())
BOOST_TEST(nextLineMatches(m_output, regex(individualPattern(individual))));
BOOST_TEST(m_output.peek() == EOF);
}
BOOST_FIXTURE_TEST_CASE(run_should_save_initial_population_to_file_if_autosave_file_specified, AlgorithmRunnerAutosaveFixture)
{
m_options.maxRounds = 0;