2020-02-05 13:56:55 +00:00
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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/FitnessMetrics.h>
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2020-02-05 13:58:06 +00:00
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2020-02-26 19:55:13 +00:00
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#include <libsolutil/CommonIO.h>
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2020-02-20 18:36:46 +00:00
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#include <cmath>
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2020-02-05 13:58:06 +00:00
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using namespace std;
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2020-02-26 19:55:13 +00:00
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using namespace solidity::util;
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2020-02-29 20:55:32 +00:00
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using namespace solidity::yul;
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2020-02-05 13:58:06 +00:00
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using namespace solidity::phaser;
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2020-02-26 19:55:13 +00:00
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Program const& ProgramBasedMetric::program() const
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{
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if (m_programCache == nullptr)
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return m_program.value();
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else
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return m_programCache->program();
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}
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Program ProgramBasedMetric::optimisedProgram(Chromosome const& _chromosome)
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{
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if (m_programCache == nullptr)
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return optimisedProgramNoCache(_chromosome);
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return m_programCache->optimiseProgram(
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toString(_chromosome),
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m_repetitionCount
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);
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}
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Program ProgramBasedMetric::optimisedProgramNoCache(Chromosome const& _chromosome) const
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{
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Program programCopy = program();
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2020-02-05 18:24:46 +00:00
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for (size_t i = 0; i < m_repetitionCount; ++i)
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programCopy.optimise(_chromosome.optimisationSteps());
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2020-02-26 19:47:11 +00:00
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return programCopy;
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}
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2020-02-26 18:58:14 +00:00
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size_t ProgramSize::evaluate(Chromosome const& _chromosome)
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{
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2020-02-29 20:55:32 +00:00
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return optimisedProgram(_chromosome).codeSize(codeWeights());
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2020-02-05 13:58:06 +00:00
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}
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2020-02-20 18:36:46 +00:00
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size_t RelativeProgramSize::evaluate(Chromosome const& _chromosome)
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{
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size_t const scalingFactor = pow(10, m_fixedPointPrecision);
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2020-02-29 20:55:32 +00:00
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size_t unoptimisedSize = optimisedProgram(Chromosome("")).codeSize(codeWeights());
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if (unoptimisedSize == 0)
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return scalingFactor;
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2020-02-29 20:55:32 +00:00
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size_t optimisedSize = optimisedProgram(_chromosome).codeSize(codeWeights());
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2020-02-20 18:36:46 +00:00
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return static_cast<size_t>(round(
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static_cast<double>(optimisedSize) / unoptimisedSize * scalingFactor
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));
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}
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2020-02-25 19:16:47 +00:00
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size_t FitnessMetricAverage::evaluate(Chromosome const& _chromosome)
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{
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assert(m_metrics.size() > 0);
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size_t total = m_metrics[0]->evaluate(_chromosome);
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for (size_t i = 1; i < m_metrics.size(); ++i)
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total += m_metrics[i]->evaluate(_chromosome);
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return total / m_metrics.size();
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}
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size_t FitnessMetricSum::evaluate(Chromosome const& _chromosome)
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{
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assert(m_metrics.size() > 0);
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size_t total = m_metrics[0]->evaluate(_chromosome);
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for (size_t i = 1; i < m_metrics.size(); ++i)
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total += m_metrics[i]->evaluate(_chromosome);
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return total;
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}
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size_t FitnessMetricMaximum::evaluate(Chromosome const& _chromosome)
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{
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assert(m_metrics.size() > 0);
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size_t maximum = m_metrics[0]->evaluate(_chromosome);
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for (size_t i = 1; i < m_metrics.size(); ++i)
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maximum = max(maximum, m_metrics[i]->evaluate(_chromosome));
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return maximum;
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}
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size_t FitnessMetricMinimum::evaluate(Chromosome const& _chromosome)
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{
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assert(m_metrics.size() > 0);
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size_t minimum = m_metrics[0]->evaluate(_chromosome);
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for (size_t i = 1; i < m_metrics.size(); ++i)
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minimum = min(minimum, m_metrics[i]->evaluate(_chromosome));
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return minimum;
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}
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