[yul-phaser] Base class for genetic algorithms

This commit is contained in:
cameel 2020-02-05 14:56:55 +01:00 committed by Kamil Śliwak
parent 26bae6b459
commit 11bdf358df
5 changed files with 198 additions and 0 deletions

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@ -144,6 +144,7 @@ set(yul_phaser_sources
yulPhaser/CommonTest.cpp
yulPhaser/Chromosome.cpp
yulPhaser/FitnessMetrics.cpp
yulPhaser/GeneticAlgorithms.cpp
yulPhaser/Population.cpp
yulPhaser/Program.cpp
yulPhaser/SimulationRNG.cpp
@ -153,6 +154,7 @@ set(yul_phaser_sources
# unnecessary duplication. Create a library or find a way to reuse the list in both places.
../tools/yulPhaser/Chromosome.cpp
../tools/yulPhaser/FitnessMetrics.cpp
../tools/yulPhaser/GeneticAlgorithms.cpp
../tools/yulPhaser/Population.cpp
../tools/yulPhaser/Program.cpp
../tools/yulPhaser/SimulationRNG.cpp

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@ -0,0 +1,96 @@
/*
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 <test/yulPhaser/Common.h>
#include <tools/yulPhaser/FitnessMetrics.h>
#include <tools/yulPhaser/GeneticAlgorithms.h>
#include <tools/yulPhaser/Population.h>
#include <tools/yulPhaser/Program.h>
#include <liblangutil/CharStream.h>
#include <libsolutil/CommonIO.h>
#include <boost/test/unit_test.hpp>
#include <boost/test/tools/output_test_stream.hpp>
#include <vector>
using namespace std;
using namespace boost::unit_test::framework;
using namespace boost::test_tools;
using namespace solidity::langutil;
using namespace solidity::util;
namespace solidity::phaser::test
{
class DummyAlgorithm: public GeneticAlgorithm
{
public:
using GeneticAlgorithm::GeneticAlgorithm;
void runNextRound() override { ++m_currentRound; }
size_t m_currentRound = 0;
};
class GeneticAlgorithmFixture
{
protected:
shared_ptr<FitnessMetric> m_fitnessMetric = make_shared<ChromosomeLengthMetric>();
output_test_stream m_output;
};
BOOST_AUTO_TEST_SUITE(Phaser)
BOOST_AUTO_TEST_SUITE(GeneticAlgorithmsTest)
BOOST_AUTO_TEST_SUITE(GeneticAlgorithmTest)
BOOST_FIXTURE_TEST_CASE(run_should_call_runNextRound_once_per_round, GeneticAlgorithmFixture)
{
DummyAlgorithm algorithm(Population(m_fitnessMetric), m_output);
BOOST_TEST(algorithm.m_currentRound == 0);
algorithm.run(10);
BOOST_TEST(algorithm.m_currentRound == 10);
algorithm.run(3);
BOOST_TEST(algorithm.m_currentRound == 13);
}
BOOST_FIXTURE_TEST_CASE(run_should_print_the_top_chromosome, GeneticAlgorithmFixture)
{
// run() is allowed to print more but should at least print the first one
DummyAlgorithm algorithm(
// NOTE: Chromosomes chosen so that they're not substrings of each other and are not
// words likely to appear in the output in normal circumstances.
Population(m_fitnessMetric, {Chromosome("fcCUnDve"), Chromosome("jsxIOo"), Chromosome("ighTLM")}),
m_output
);
BOOST_TEST(m_output.is_empty());
algorithm.run(1);
BOOST_TEST(countSubstringOccurrences(m_output.str(), toString(algorithm.population().individuals()[0].chromosome)) == 1);
algorithm.run(3);
BOOST_TEST(countSubstringOccurrences(m_output.str(), toString(algorithm.population().individuals()[0].chromosome)) == 4);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
}

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@ -15,6 +15,8 @@ install(TARGETS solidity-upgrade DESTINATION "${CMAKE_INSTALL_BINDIR}")
add_executable(yul-phaser
yulPhaser/main.cpp
yulPhaser/GeneticAlgorithms.h
yulPhaser/GeneticAlgorithms.cpp
yulPhaser/Population.h
yulPhaser/Population.cpp
yulPhaser/FitnessMetrics.h

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@ -0,0 +1,32 @@
/*
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/GeneticAlgorithms.h>
using namespace std;
using namespace solidity::phaser;
void GeneticAlgorithm::run(optional<size_t> _numRounds)
{
for (size_t round = 0; !_numRounds.has_value() || round < _numRounds.value(); ++round)
{
runNextRound();
m_outputStream << "---------- ROUND " << round << " ----------" << endl;
m_outputStream << m_population;
}
}

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@ -0,0 +1,66 @@
/*
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/>.
*/
/**
* Contains an abstract base class representing a genetic algorithm and its concrete implementations.
*/
#pragma once
#include <tools/yulPhaser/Population.h>
#include <optional>
#include <ostream>
namespace solidity::phaser
{
/**
* Abstract base class for genetic algorithms.
*
* The main feature is the @a run() method that executes the algorithm, updating the internal
* population during each round and printing the results to the stream provided to the constructor.
*
* Derived classes can provide specific methods for updating the population by implementing
* the @a runNextRound() method.
*/
class GeneticAlgorithm
{
public:
GeneticAlgorithm(Population _initialPopulation, std::ostream& _outputStream):
m_population(std::move(_initialPopulation)),
m_outputStream(_outputStream) {}
GeneticAlgorithm(GeneticAlgorithm const&) = delete;
GeneticAlgorithm& operator=(GeneticAlgorithm const&) = delete;
virtual ~GeneticAlgorithm() = default;
Population const& population() const { return m_population; }
void run(std::optional<size_t> _numRounds = std::nullopt);
/// The method that actually implements the algorithm. Should use @a m_population as input and
/// replace it with the updated state after the round.
virtual void runNextRound() = 0;
protected:
Population m_population;
private:
std::ostream& m_outputStream;
};
}