solidity/tools/yulPhaser/Mutations.cpp

148 lines
4.0 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/Mutations.h>
#include <tools/yulPhaser/SimulationRNG.h>
#include <libsolutil/CommonData.h>
#include <algorithm>
#include <cassert>
#include <cmath>
#include <string>
#include <vector>
using namespace std;
using namespace solidity;
using namespace solidity::phaser;
function<Mutation> phaser::geneRandomisation(double _chance)
{
return [=](Chromosome const& _chromosome)
{
vector<string> optimisationSteps;
for (auto const& step: _chromosome.optimisationSteps())
optimisationSteps.push_back(
SimulationRNG::bernoulliTrial(_chance) ?
Chromosome::randomOptimisationStep() :
step
);
return Chromosome(move(optimisationSteps));
};
}
function<Mutation> phaser::geneDeletion(double _chance)
{
return [=](Chromosome const& _chromosome)
{
vector<string> optimisationSteps;
for (auto const& step: _chromosome.optimisationSteps())
if (!SimulationRNG::bernoulliTrial(_chance))
optimisationSteps.push_back(step);
return Chromosome(move(optimisationSteps));
};
}
function<Mutation> phaser::geneAddition(double _chance)
{
return [=](Chromosome const& _chromosome)
{
vector<string> optimisationSteps;
if (SimulationRNG::bernoulliTrial(_chance))
optimisationSteps.push_back(Chromosome::randomOptimisationStep());
for (auto const& step: _chromosome.optimisationSteps())
{
optimisationSteps.push_back(step);
if (SimulationRNG::bernoulliTrial(_chance))
optimisationSteps.push_back(Chromosome::randomOptimisationStep());
}
return Chromosome(move(optimisationSteps));
};
}
function<Mutation> phaser::alternativeMutations(
double _firstMutationChance,
function<Mutation> _mutation1,
function<Mutation> _mutation2
)
{
return [=](Chromosome const& _chromosome)
{
if (SimulationRNG::bernoulliTrial(_firstMutationChance))
return _mutation1(_chromosome);
else
return _mutation2(_chromosome);
};
}
namespace
{
Chromosome buildChromosomesBySwappingParts(
Chromosome const& _chromosome1,
Chromosome const& _chromosome2,
size_t _crossoverPoint
)
{
assert(_crossoverPoint <= _chromosome1.length());
assert(_crossoverPoint <= _chromosome2.length());
auto begin1 = _chromosome1.optimisationSteps().begin();
auto begin2 = _chromosome2.optimisationSteps().begin();
return Chromosome(
vector<string>(begin1, begin1 + _crossoverPoint) +
vector<string>(begin2 + _crossoverPoint, _chromosome2.optimisationSteps().end())
);
}
}
function<Crossover> phaser::randomPointCrossover()
{
return [=](Chromosome const& _chromosome1, Chromosome const& _chromosome2)
{
size_t minLength = min(_chromosome1.length(), _chromosome2.length());
// Don't use position 0 (because this just swaps the values) unless it's the only choice.
size_t minPoint = (minLength > 0? 1 : 0);
assert(minPoint <= minLength);
size_t randomPoint = SimulationRNG::uniformInt(minPoint, minLength);
return buildChromosomesBySwappingParts(_chromosome1, _chromosome2, randomPoint);
};
}
function<Crossover> phaser::fixedPointCrossover(double _crossoverPoint)
{
assert(0.0 <= _crossoverPoint && _crossoverPoint <= 1.0);
return [=](Chromosome const& _chromosome1, Chromosome const& _chromosome2)
{
size_t minLength = min(_chromosome1.length(), _chromosome2.length());
size_t concretePoint = static_cast<size_t>(round(minLength * _crossoverPoint));
return buildChromosomesBySwappingParts(_chromosome1, _chromosome2, concretePoint);
};
}