/* This file is part of solidity. solidity is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. solidity is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with solidity. If not, see . */ #include #include #include #include #include #include using namespace std; using namespace solidity::phaser; void AlgorithmRunner::run(GeneticAlgorithm& _algorithm) { populationAutosave(); printInitialPopulation(); cacheClear(); clock_t totalTimeStart = clock(); for (size_t round = 0; !m_options.maxRounds.has_value() || round < m_options.maxRounds.value(); ++round) { clock_t roundTimeStart = clock(); cacheStartRound(round + 1); m_population = _algorithm.runNextRound(m_population); randomiseDuplicates(); printRoundSummary(round, roundTimeStart, totalTimeStart); printCacheStats(); populationAutosave(); } } void AlgorithmRunner::printRoundSummary( size_t _round, clock_t _roundTimeStart, clock_t _totalTimeStart ) const { if (!m_options.showOnlyTopChromosome) { if (m_options.showRoundInfo) { clock_t now = clock(); double roundTime = static_cast(now - _roundTimeStart) / CLOCKS_PER_SEC; double totalTime = static_cast(now - _totalTimeStart) / CLOCKS_PER_SEC; m_outputStream << "---------- ROUND " << _round + 1; m_outputStream << " [round: " << fixed << setprecision(1) << roundTime << " s,"; m_outputStream << " total: " << fixed << setprecision(1) << totalTime << " s]"; m_outputStream << " ----------" << endl; } else if (m_population.individuals().size() > 0) m_outputStream << endl; m_outputStream << m_population; } else if (m_population.individuals().size() > 0) { if (m_options.showRoundInfo) m_outputStream << setw(5) << _round + 1 << " | "; m_outputStream << m_population.individuals()[0] << endl; } } void AlgorithmRunner::printInitialPopulation() const { if (!m_options.showInitialPopulation) return; m_outputStream << "---------- INITIAL POPULATION ----------" << endl; m_outputStream << m_population; } void AlgorithmRunner::printCacheStats() const { if (!m_options.showCacheStats) return; CacheStats totalStats{}; size_t disabledCacheCount = 0; for (size_t i = 0; i < m_programCaches.size(); ++i) if (m_programCaches[i] != nullptr) totalStats += m_programCaches[i]->gatherStats(); else ++disabledCacheCount; m_outputStream << "---------- CACHE STATS ----------" << endl; if (disabledCacheCount < m_programCaches.size()) { for (auto& [round, count]: totalStats.roundEntryCounts) m_outputStream << "Round " << round << ": " << count << " entries" << endl; m_outputStream << "Total hits: " << totalStats.hits << endl; m_outputStream << "Total misses: " << totalStats.misses << endl; m_outputStream << "Size of cached code: " << totalStats.totalCodeSize << endl; } if (disabledCacheCount == m_programCaches.size()) m_outputStream << "Program cache disabled" << endl; else if (disabledCacheCount > 0) { m_outputStream << "Program cache disabled for " << disabledCacheCount << " out of "; m_outputStream << m_programCaches.size() << " programs" << endl; } } void AlgorithmRunner::populationAutosave() const { if (!m_options.populationAutosaveFile.has_value()) return; ofstream outputStream(m_options.populationAutosaveFile.value(), ios::out | ios::trunc); assertThrow( outputStream.is_open(), FileOpenError, "Could not open file '" + m_options.populationAutosaveFile.value() + "': " + strerror(errno) ); for (auto& individual: m_population.individuals()) outputStream << individual.chromosome << endl; assertThrow( !outputStream.bad(), FileWriteError, "Error while writing to file '" + m_options.populationAutosaveFile.value() + "': " + strerror(errno) ); } void AlgorithmRunner::cacheClear() { for (auto& cache: m_programCaches) if (cache != nullptr) cache->clear(); } void AlgorithmRunner::cacheStartRound(size_t _roundNumber) { for (auto& cache: m_programCaches) if (cache != nullptr) cache->startRound(_roundNumber); } void AlgorithmRunner::randomiseDuplicates() { if (m_options.randomiseDuplicates) { assert(m_options.minChromosomeLength.has_value()); assert(m_options.maxChromosomeLength.has_value()); m_population = randomiseDuplicates( m_population, m_options.minChromosomeLength.value(), m_options.maxChromosomeLength.value() ); } } Population AlgorithmRunner::randomiseDuplicates( Population _population, size_t _minChromosomeLength, size_t _maxChromosomeLength ) { if (_population.individuals().size() == 0) return _population; vector chromosomes{_population.individuals()[0].chromosome}; size_t duplicateCount = 0; for (size_t i = 1; i < _population.individuals().size(); ++i) if (_population.individuals()[i].chromosome == _population.individuals()[i - 1].chromosome) ++duplicateCount; else chromosomes.push_back(_population.individuals()[i].chromosome); return ( Population(_population.fitnessMetric(), chromosomes) + Population::makeRandom(_population.fitnessMetric(), duplicateCount, _minChromosomeLength, _maxChromosomeLength) ); }