mirror of
https://github.com/ethereum/solidity
synced 2023-10-03 13:03:40 +00:00
99 lines
2.8 KiB
C++
99 lines
2.8 KiB
C++
/*
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This file is part of solidity.
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solidity is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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solidity is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with solidity. If not, see <http://www.gnu.org/licenses/>.
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*/
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/**
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* Contains the implementation of a class that manages the execution of a genetic algorithm.
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*/
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#pragma once
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#include <tools/yulPhaser/GeneticAlgorithms.h>
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#include <tools/yulPhaser/Population.h>
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#include <tools/yulPhaser/ProgramCache.h>
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#include <ctime>
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#include <optional>
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#include <ostream>
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namespace solidity::phaser
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{
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/**
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* Manages a population and executes a genetic algorithm on it. It's independent of the
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* implementation details of a specific algorithm which is pluggable via @a GeneticAlgorithm class.
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*
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* The class is also responsible for providing text feedback on the execution of the algorithm
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* to the associated output stream.
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*/
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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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std::optional<std::string> populationAutosaveFile = std::nullopt;
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bool randomiseDuplicates = false;
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std::optional<size_t> minChromosomeLength = std::nullopt;
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std::optional<size_t> maxChromosomeLength = std::nullopt;
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bool showInitialPopulation = false;
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bool showOnlyTopChromosome = false;
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bool showRoundInfo = true;
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bool showCacheStats = false;
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};
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AlgorithmRunner(
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Population _initialPopulation,
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std::vector<std::shared_ptr<ProgramCache>> _programCaches,
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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_programCaches(std::move(_programCaches)),
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m_options(std::move(_options)),
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m_outputStream(_outputStream) {}
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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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void printRoundSummary(
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size_t _round,
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clock_t _roundTimeStart,
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clock_t _totalTimeStart
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) const;
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void printInitialPopulation() const;
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void printCacheStats() const;
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void populationAutosave() const;
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void randomiseDuplicates();
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void cacheClear();
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void cacheStartRound(size_t _roundNumber);
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static Population randomiseDuplicates(
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Population _population,
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size_t _minChromosomeLength,
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size_t _maxChromosomeLength
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);
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Population m_population;
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std::vector<std::shared_ptr<ProgramCache>> m_programCaches;
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Options m_options;
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std::ostream& m_outputStream;
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};
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}
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