solidity/tools/yulPhaser/Population.cpp

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/*
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/>.
*/
// SPDX-License-Identifier: GPL-3.0
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#include <tools/yulPhaser/Population.h>
#include <tools/yulPhaser/PairSelections.h>
#include <tools/yulPhaser/Selections.h>
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#include <libsolutil/CommonData.h>
#include <libsolutil/CommonIO.h>
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#include <algorithm>
#include <cassert>
#include <numeric>
using namespace std;
using namespace solidity;
using namespace solidity::langutil;
using namespace solidity::util;
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using namespace solidity::phaser;
namespace solidity::phaser
{
ostream& operator<<(ostream& _stream, Individual const& _individual);
ostream& operator<<(ostream& _stream, Population const& _population);
}
ostream& phaser::operator<<(ostream& _stream, Individual const& _individual)
{
_stream << _individual.fitness << " " << _individual.chromosome;
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return _stream;
}
bool phaser::isFitter(Individual const& a, Individual const& b)
{
return (
(a.fitness < b.fitness) ||
(a.fitness == b.fitness && a.chromosome.length() < b.chromosome.length()) ||
(a.fitness == b.fitness && a.chromosome.length() == b.chromosome.length() && a.chromosome.genes() < b.chromosome.genes())
);
}
Population Population::makeRandom(
shared_ptr<FitnessMetric> _fitnessMetric,
size_t _size,
function<size_t()> _chromosomeLengthGenerator
)
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{
vector<Chromosome> chromosomes;
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for (size_t i = 0; i < _size; ++i)
chromosomes.push_back(Chromosome::makeRandom(_chromosomeLengthGenerator()));
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return Population(move(_fitnessMetric), move(chromosomes));
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}
Population Population::makeRandom(
shared_ptr<FitnessMetric> _fitnessMetric,
size_t _size,
size_t _minChromosomeLength,
size_t _maxChromosomeLength
)
{
return makeRandom(
move(_fitnessMetric),
_size,
std::bind(uniformChromosomeLength, _minChromosomeLength, _maxChromosomeLength)
);
}
Population Population::select(Selection const& _selection) const
{
vector<Individual> selectedIndividuals;
for (size_t i: _selection.materialise(m_individuals.size()))
selectedIndividuals.emplace_back(m_individuals[i]);
return Population(m_fitnessMetric, selectedIndividuals);
}
Population Population::mutate(Selection const& _selection, function<Mutation> _mutation) const
{
vector<Individual> mutatedIndividuals;
for (size_t i: _selection.materialise(m_individuals.size()))
mutatedIndividuals.emplace_back(_mutation(m_individuals[i].chromosome), *m_fitnessMetric);
return Population(m_fitnessMetric, mutatedIndividuals);
}
Population Population::crossover(PairSelection const& _selection, function<Crossover> _crossover) const
{
vector<Individual> crossedIndividuals;
for (auto const& [i, j]: _selection.materialise(m_individuals.size()))
{
auto childChromosome = _crossover(
m_individuals[i].chromosome,
m_individuals[j].chromosome
);
crossedIndividuals.emplace_back(move(childChromosome), *m_fitnessMetric);
}
return Population(m_fitnessMetric, crossedIndividuals);
}
tuple<Population, Population> Population::symmetricCrossoverWithRemainder(
PairSelection const& _selection,
function<SymmetricCrossover> _symmetricCrossover
) const
{
vector<int> indexSelected(m_individuals.size(), false);
vector<Individual> crossedIndividuals;
for (auto const& [i, j]: _selection.materialise(m_individuals.size()))
{
auto children = _symmetricCrossover(
m_individuals[i].chromosome,
m_individuals[j].chromosome
);
crossedIndividuals.emplace_back(move(get<0>(children)), *m_fitnessMetric);
crossedIndividuals.emplace_back(move(get<1>(children)), *m_fitnessMetric);
indexSelected[i] = true;
indexSelected[j] = true;
}
vector<Individual> remainder;
for (size_t i = 0; i < indexSelected.size(); ++i)
if (!indexSelected[i])
remainder.emplace_back(m_individuals[i]);
return {
Population(m_fitnessMetric, crossedIndividuals),
Population(m_fitnessMetric, remainder),
};
}
namespace solidity::phaser
{
Population operator+(Population _a, Population _b)
{
// This operator is meant to be used only with populations sharing the same metric (and, to make
// things simple, "the same" here means the same exact object in memory).
assert(_a.m_fitnessMetric == _b.m_fitnessMetric);
using ::operator+; // Import the std::vector concat operator from CommonData.h
return Population(_a.m_fitnessMetric, move(_a.m_individuals) + move(_b.m_individuals));
}
}
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Population Population::combine(std::tuple<Population, Population> _populationPair)
{
return get<0>(_populationPair) + get<1>(_populationPair);
}
bool Population::operator==(Population const& _other) const
{
// We consider populations identical only if they share the same exact instance of the metric.
// It might be possible to define some notion of equality for metric objects but it would
// be an overkill since mixing populations using different metrics is not a common use case.
return m_individuals == _other.m_individuals && m_fitnessMetric == _other.m_fitnessMetric;
}
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ostream& phaser::operator<<(ostream& _stream, Population const& _population)
{
auto individual = _population.m_individuals.begin();
for (; individual != _population.m_individuals.end(); ++individual)
_stream << *individual << endl;
return _stream;
}
vector<Individual> Population::chromosomesToIndividuals(
FitnessMetric& _fitnessMetric,
vector<Chromosome> _chromosomes
)
{
vector<Individual> individuals;
for (auto& chromosome: _chromosomes)
individuals.emplace_back(move(chromosome), _fitnessMetric);
return individuals;
}
vector<Individual> Population::sortedIndividuals(vector<Individual> _individuals)
{
sort(_individuals.begin(), _individuals.end(), isFitter);
return _individuals;
}