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