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https://github.com/ethereum/solidity
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[yul-phaser] Base class for genetic algorithms
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@ -144,6 +144,7 @@ set(yul_phaser_sources
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yulPhaser/CommonTest.cpp
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yulPhaser/Chromosome.cpp
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yulPhaser/FitnessMetrics.cpp
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yulPhaser/GeneticAlgorithms.cpp
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yulPhaser/Population.cpp
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yulPhaser/Program.cpp
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yulPhaser/SimulationRNG.cpp
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@ -153,6 +154,7 @@ set(yul_phaser_sources
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# unnecessary duplication. Create a library or find a way to reuse the list in both places.
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../tools/yulPhaser/Chromosome.cpp
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../tools/yulPhaser/FitnessMetrics.cpp
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../tools/yulPhaser/GeneticAlgorithms.cpp
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../tools/yulPhaser/Population.cpp
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../tools/yulPhaser/Program.cpp
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../tools/yulPhaser/SimulationRNG.cpp
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96
test/yulPhaser/GeneticAlgorithms.cpp
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96
test/yulPhaser/GeneticAlgorithms.cpp
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@ -0,0 +1,96 @@
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/*
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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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#include <test/yulPhaser/Common.h>
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#include <tools/yulPhaser/FitnessMetrics.h>
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#include <tools/yulPhaser/GeneticAlgorithms.h>
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#include <tools/yulPhaser/Population.h>
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#include <tools/yulPhaser/Program.h>
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#include <liblangutil/CharStream.h>
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#include <libsolutil/CommonIO.h>
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#include <boost/test/unit_test.hpp>
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#include <boost/test/tools/output_test_stream.hpp>
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#include <vector>
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using namespace std;
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using namespace boost::unit_test::framework;
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using namespace boost::test_tools;
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using namespace solidity::langutil;
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using namespace solidity::util;
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namespace solidity::phaser::test
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{
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class DummyAlgorithm: public GeneticAlgorithm
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{
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public:
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using GeneticAlgorithm::GeneticAlgorithm;
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void runNextRound() override { ++m_currentRound; }
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size_t m_currentRound = 0;
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};
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class GeneticAlgorithmFixture
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{
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protected:
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shared_ptr<FitnessMetric> m_fitnessMetric = make_shared<ChromosomeLengthMetric>();
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output_test_stream m_output;
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};
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BOOST_AUTO_TEST_SUITE(Phaser)
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BOOST_AUTO_TEST_SUITE(GeneticAlgorithmsTest)
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BOOST_AUTO_TEST_SUITE(GeneticAlgorithmTest)
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BOOST_FIXTURE_TEST_CASE(run_should_call_runNextRound_once_per_round, GeneticAlgorithmFixture)
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{
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DummyAlgorithm algorithm(Population(m_fitnessMetric), m_output);
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BOOST_TEST(algorithm.m_currentRound == 0);
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algorithm.run(10);
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BOOST_TEST(algorithm.m_currentRound == 10);
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algorithm.run(3);
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BOOST_TEST(algorithm.m_currentRound == 13);
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}
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BOOST_FIXTURE_TEST_CASE(run_should_print_the_top_chromosome, GeneticAlgorithmFixture)
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{
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// run() is allowed to print more but should at least print the first one
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DummyAlgorithm algorithm(
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// NOTE: Chromosomes chosen so that they're not substrings of each other and are not
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// words likely to appear in the output in normal circumstances.
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Population(m_fitnessMetric, {Chromosome("fcCUnDve"), Chromosome("jsxIOo"), Chromosome("ighTLM")}),
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m_output
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);
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BOOST_TEST(m_output.is_empty());
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algorithm.run(1);
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BOOST_TEST(countSubstringOccurrences(m_output.str(), toString(algorithm.population().individuals()[0].chromosome)) == 1);
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algorithm.run(3);
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BOOST_TEST(countSubstringOccurrences(m_output.str(), toString(algorithm.population().individuals()[0].chromosome)) == 4);
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}
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BOOST_AUTO_TEST_SUITE_END()
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BOOST_AUTO_TEST_SUITE_END()
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BOOST_AUTO_TEST_SUITE_END()
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}
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@ -15,6 +15,8 @@ install(TARGETS solidity-upgrade DESTINATION "${CMAKE_INSTALL_BINDIR}")
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add_executable(yul-phaser
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yulPhaser/main.cpp
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yulPhaser/GeneticAlgorithms.h
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yulPhaser/GeneticAlgorithms.cpp
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yulPhaser/Population.h
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yulPhaser/Population.cpp
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yulPhaser/FitnessMetrics.h
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32
tools/yulPhaser/GeneticAlgorithms.cpp
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32
tools/yulPhaser/GeneticAlgorithms.cpp
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@ -0,0 +1,32 @@
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/*
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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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#include <tools/yulPhaser/GeneticAlgorithms.h>
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using namespace std;
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using namespace solidity::phaser;
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void GeneticAlgorithm::run(optional<size_t> _numRounds)
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{
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for (size_t round = 0; !_numRounds.has_value() || round < _numRounds.value(); ++round)
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{
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runNextRound();
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m_outputStream << "---------- ROUND " << round << " ----------" << endl;
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m_outputStream << m_population;
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}
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}
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66
tools/yulPhaser/GeneticAlgorithms.h
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66
tools/yulPhaser/GeneticAlgorithms.h
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@ -0,0 +1,66 @@
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/*
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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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/**
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* Contains an abstract base class representing a genetic algorithm and its concrete implementations.
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*/
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#pragma once
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#include <tools/yulPhaser/Population.h>
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#include <optional>
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#include <ostream>
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namespace solidity::phaser
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{
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/**
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* Abstract base class for genetic algorithms.
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*
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* The main feature is the @a run() method that executes the algorithm, updating the internal
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* population during each round and printing the results to the stream provided to the constructor.
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*
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* Derived classes can provide specific methods for updating the population by implementing
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* the @a runNextRound() method.
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*/
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class GeneticAlgorithm
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{
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public:
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GeneticAlgorithm(Population _initialPopulation, std::ostream& _outputStream):
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m_population(std::move(_initialPopulation)),
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m_outputStream(_outputStream) {}
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GeneticAlgorithm(GeneticAlgorithm const&) = delete;
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GeneticAlgorithm& operator=(GeneticAlgorithm const&) = delete;
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virtual ~GeneticAlgorithm() = default;
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Population const& population() const { return m_population; }
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void run(std::optional<size_t> _numRounds = std::nullopt);
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/// The method that actually implements the algorithm. Should use @a m_population as input and
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/// replace it with the updated state after the round.
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virtual void runNextRound() = 0;
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protected:
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Population m_population;
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private:
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std::ostream& m_outputStream;
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};
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}
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