mirror of
https://github.com/ethereum/solidity
synced 2023-10-03 13:03:40 +00:00
e4c7b73897
- Until now the source code was being parsed during every fitness computation. Now the parsed program is reused and only the optimisation steps are applied each time.
88 lines
2.7 KiB
C++
88 lines
2.7 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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#pragma once
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#include <tools/yulPhaser/Chromosome.h>
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#include <tools/yulPhaser/Program.h>
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#include <tools/yulPhaser/Random.h>
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#include <optional>
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#include <ostream>
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#include <vector>
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namespace solidity::phaser
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{
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/**
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* Information describing the state of an individual member of the population during the course
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* of the genetic algorithm.
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*/
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struct Individual
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{
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Chromosome chromosome;
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std::optional<size_t> fitness = std::nullopt;
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friend std::ostream& operator<<(std::ostream& _stream, Individual const& _individual);
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};
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/**
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* Represents a changing set of individuals undergoing a genetic algorithm.
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* Each round of the algorithm involves mutating existing individuals, evaluating their fitness
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* and selecting the best ones for the next round.
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*
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* An individual is a sequence of optimiser steps represented by a @a Chromosome instance. The whole
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* population is associated with a fixed Yul program. By applying the steps to the @a Program
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* instance the class can compute fitness of the individual.
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*/
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class Population
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{
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public:
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static constexpr size_t MaxChromosomeLength = 30;
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explicit Population(Program _program, std::vector<Chromosome> const& _chromosomes = {});
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static Population makeRandom(Program _program, size_t _size);
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void run(std::optional<size_t> _numRounds, std::ostream& _outputStream);
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std::vector<Individual> const& individuals() const { return m_individuals; }
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static size_t randomChromosomeLength() { return binomialRandomInt(MaxChromosomeLength, 0.5); }
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static size_t measureFitness(Chromosome const& _chromosome, Program const& _program);
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friend std::ostream& operator<<(std::ostream& _stream, Population const& _population);
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private:
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explicit Population(Program _program, std::vector<Individual> _individuals = {}):
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m_program{std::move(_program)},
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m_individuals{std::move(_individuals)} {}
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void doMutation();
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void doEvaluation();
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void doSelection();
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static void randomizeWorstChromosomes(
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std::vector<Individual>& _individuals,
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size_t _count
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);
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Program m_program;
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std::vector<Individual> m_individuals;
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};
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}
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