solidity/tools/yulPhaser/Phaser.cpp

261 lines
7.1 KiB
C++

/*
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 <http://www.gnu.org/licenses/>.
*/
#include <tools/yulPhaser/Phaser.h>
#include <tools/yulPhaser/AlgorithmRunner.h>
#include <tools/yulPhaser/Exceptions.h>
#include <tools/yulPhaser/FitnessMetrics.h>
#include <tools/yulPhaser/GeneticAlgorithms.h>
#include <tools/yulPhaser/Program.h>
#include <tools/yulPhaser/SimulationRNG.h>
#include <liblangutil/CharStream.h>
#include <libsolutil/Assertions.h>
#include <libsolutil/CommonIO.h>
#include <boost/filesystem.hpp>
#include <iostream>
using namespace std;
using namespace solidity;
using namespace solidity::langutil;
using namespace solidity::util;
using namespace solidity::phaser;
namespace po = boost::program_options;
istream& phaser::operator>>(istream& _inputStream, Algorithm& _algorithm)
{
string value;
_inputStream >> value;
if (value == "random")
_algorithm = Algorithm::Random;
else if (value == "GEWEP")
_algorithm = Algorithm::GEWEP;
else
_inputStream.setstate(ios_base::failbit);
return _inputStream;
}
ostream& phaser::operator<<(ostream& _outputStream, Algorithm _algorithm)
{
if (_algorithm == Algorithm::Random)
_outputStream << "random";
else if (_algorithm == Algorithm::GEWEP)
_outputStream << "GEWEP";
else
_outputStream.setstate(ios_base::failbit);
return _outputStream;
}
GeneticAlgorithmFactory::Options GeneticAlgorithmFactory::Options::fromCommandLine(po::variables_map const& _arguments)
{
return {
_arguments["algorithm"].as<Algorithm>(),
};
}
unique_ptr<GeneticAlgorithm> GeneticAlgorithmFactory::build(
Options const& _options,
size_t _populationSize,
size_t _minChromosomeLength,
size_t _maxChromosomeLength
)
{
assert(_populationSize > 0);
switch (_options.algorithm)
{
case Algorithm::Random:
return make_unique<RandomAlgorithm>(RandomAlgorithm::Options{
/* elitePoolSize = */ 1.0 / _populationSize,
/* minChromosomeLength = */ _minChromosomeLength,
/* maxChromosomeLength = */ _maxChromosomeLength,
});
case Algorithm::GEWEP:
return make_unique<GenerationalElitistWithExclusivePools>(GenerationalElitistWithExclusivePools::Options{
/* mutationPoolSize = */ 0.25,
/* crossoverPoolSize = */ 0.25,
/* randomisationChance = */ 0.9,
/* deletionVsAdditionChance = */ 0.5,
/* percentGenesToRandomise = */ 1.0 / _maxChromosomeLength,
/* percentGenesToAddOrDelete = */ 1.0 / _maxChromosomeLength,
});
default:
assertThrow(false, solidity::util::Exception, "Invalid Algorithm value.");
}
}
unique_ptr<FitnessMetric> FitnessMetricFactory::build(
Program _program
)
{
return make_unique<ProgramSize>(move(_program), RepetitionCount);
}
Population PopulationFactory::build(
shared_ptr<FitnessMetric> _fitnessMetric
)
{
return Population::makeRandom(
move(_fitnessMetric),
PopulationSize,
MinChromosomeLength,
MaxChromosomeLength
);
}
ProgramFactory::Options ProgramFactory::Options::fromCommandLine(po::variables_map const& _arguments)
{
return {
_arguments["input-file"].as<string>(),
};
}
Program ProgramFactory::build(Options const& _options)
{
CharStream sourceCode = loadSource(_options.inputFile);
return Program::load(sourceCode);
}
CharStream ProgramFactory::loadSource(string const& _sourcePath)
{
assertThrow(boost::filesystem::exists(_sourcePath), InvalidProgram, "Source file does not exist");
string sourceCode = readFileAsString(_sourcePath);
return CharStream(sourceCode, _sourcePath);
}
int Phaser::main(int _argc, char** _argv)
{
CommandLineParsingResult parsingResult = parseCommandLine(_argc, _argv);
if (parsingResult.exitCode != 0)
return parsingResult.exitCode;
initialiseRNG(parsingResult.arguments);
runAlgorithm(parsingResult.arguments);
return 0;
}
Phaser::CommandLineDescription Phaser::buildCommandLineDescription()
{
size_t const lineLength = po::options_description::m_default_line_length;
size_t const minDescriptionLength = lineLength - 23;
po::options_description keywordDescription(
"yul-phaser, a tool for finding the best sequence of Yul optimisation phases.\n"
"\n"
"Usage: yul-phaser [options] <file>\n"
"Reads <file> as Yul code and tries to find the best order in which to run optimisation"
" phases using a genetic algorithm.\n"
"Example:\n"
"yul-phaser program.yul\n"
"\n"
"Allowed options",
lineLength,
minDescriptionLength
);
keywordDescription.add_options()
("help", "Show help message and exit.")
("input-file", po::value<string>()->required(), "Input file")
("seed", po::value<uint32_t>(), "Seed for the random number generator")
(
"algorithm",
po::value<Algorithm>()->default_value(Algorithm::GEWEP),
"Algorithm"
)
;
po::positional_options_description positionalDescription;
positionalDescription.add("input-file", 1);
return {keywordDescription, positionalDescription};
}
Phaser::CommandLineParsingResult Phaser::parseCommandLine(int _argc, char** _argv)
{
auto [keywordDescription, positionalDescription] = buildCommandLineDescription();
po::variables_map arguments;
po::notify(arguments);
try
{
po::command_line_parser parser(_argc, _argv);
parser.options(keywordDescription).positional(positionalDescription);
po::store(parser.run(), arguments);
}
catch (po::error const & _exception)
{
cerr << _exception.what() << endl;
return {1, move(arguments)};
}
if (arguments.count("help") > 0)
{
cout << keywordDescription << endl;
return {2, move(arguments)};
}
if (arguments.count("input-file") == 0)
{
cerr << "Missing argument: input-file." << endl;
return {1, move(arguments)};
}
return {0, arguments};
}
void Phaser::initialiseRNG(po::variables_map const& _arguments)
{
uint32_t seed;
if (_arguments.count("seed") > 0)
seed = _arguments["seed"].as<uint32_t>();
else
seed = SimulationRNG::generateSeed();
SimulationRNG::reset(seed);
cout << "Random seed: " << seed << endl;
}
void Phaser::runAlgorithm(po::variables_map const& _arguments)
{
auto programOptions = ProgramFactory::Options::fromCommandLine(_arguments);
auto algorithmOptions = GeneticAlgorithmFactory::Options::fromCommandLine(_arguments);
Program program = ProgramFactory::build(programOptions);
unique_ptr<FitnessMetric> fitnessMetric = FitnessMetricFactory::build(move(program));
Population population = PopulationFactory::build(move(fitnessMetric));
unique_ptr<GeneticAlgorithm> geneticAlgorithm = GeneticAlgorithmFactory::build(
algorithmOptions,
population.individuals().size(),
PopulationFactory::MinChromosomeLength,
PopulationFactory::MaxChromosomeLength
);
AlgorithmRunner algorithmRunner(population, AlgorithmRunner::Options{}, cout);
algorithmRunner.run(*geneticAlgorithm);
}