/*
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 .
*/
// SPDX-License-Identifier: GPL-3.0
#include
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using namespace std;
using namespace solidity::yul;
using namespace solidity::util;
namespace solidity::phaser::test
{
vector const ChrOmOsoMeSteps{
ConditionalSimplifier::name,
FunctionHoister::name,
UnusedAssignEliminator::name,
ForLoopConditionOutOfBody::name,
Rematerialiser::name,
ForLoopConditionOutOfBody::name,
ExpressionSimplifier::name,
ForLoopInitRewriter::name,
LoopInvariantCodeMotion::name,
ExpressionInliner::name
};
BOOST_AUTO_TEST_SUITE(Phaser, *boost::unit_test::label("nooptions"))
BOOST_AUTO_TEST_SUITE(ChromosomeTest)
BOOST_AUTO_TEST_CASE(makeRandom_should_return_different_chromosome_each_time)
{
SimulationRNG::reset(1);
for (size_t i = 0; i < 10; ++i)
BOOST_TEST(Chromosome::makeRandom(100) != Chromosome::makeRandom(100));
}
BOOST_AUTO_TEST_CASE(makeRandom_should_use_every_possible_step_with_the_same_probability)
{
SimulationRNG::reset(1);
constexpr int samplesPerStep = 500;
constexpr double relativeTolerance = 0.02;
map stepIndices = enumerateOptmisationSteps();
auto chromosome = Chromosome::makeRandom(stepIndices.size() * samplesPerStep);
vector samples;
for (auto& step: chromosome.optimisationSteps())
samples.push_back(stepIndices.at(step));
const double expectedValue = double(stepIndices.size() - 1) / 2.0;
const double variance = double(stepIndices.size() * stepIndices.size() - 1) / 12.0;
BOOST_TEST(abs(mean(samples) - expectedValue) < expectedValue * relativeTolerance);
BOOST_TEST(abs(meanSquaredError(samples, expectedValue) - variance) < variance * relativeTolerance);
}
BOOST_AUTO_TEST_CASE(constructor_should_store_genes)
{
BOOST_TEST(Chromosome("ChrOmOsoMe").genes() == "ChrOmOsoMe");
}
BOOST_AUTO_TEST_CASE(constructor_should_store_optimisation_steps)
{
vector steps = {
StructuralSimplifier::name,
BlockFlattener::name,
UnusedPruner::name,
};
BOOST_TEST(Chromosome(steps).genes() == "tfu");
}
BOOST_AUTO_TEST_CASE(constructor_should_allow_duplicate_steps)
{
vector steps = {
StructuralSimplifier::name,
StructuralSimplifier::name,
BlockFlattener::name,
UnusedPruner::name,
BlockFlattener::name,
};
BOOST_TEST(Chromosome(steps).genes() == "ttfuf");
BOOST_TEST(Chromosome("ttfuf").genes() == "ttfuf");
}
BOOST_AUTO_TEST_CASE(constructor_should_allow_genes_that_do_not_correspond_to_any_step)
{
assert(OptimiserSuite::stepAbbreviationToNameMap().count('.') == 0);
assert(OptimiserSuite::stepAbbreviationToNameMap().count('b') == 0);
BOOST_TEST(Chromosome(".").genes() == ".");
BOOST_TEST(Chromosome("a..abatbb").genes() == "a..abatbb");
}
BOOST_AUTO_TEST_CASE(output_operator_should_create_concise_and_unambiguous_string_representation)
{
vector allSteps;
for (auto const& step: OptimiserSuite::allSteps())
allSteps.push_back(step.first);
Chromosome chromosome(allSteps);
BOOST_TEST(chromosome.length() == allSteps.size());
BOOST_TEST(chromosome.optimisationSteps() == allSteps);
BOOST_TEST(toString(chromosome) == "flcCUnDEvejsxIOoighFTLMmVatrpuSd");
}
BOOST_AUTO_TEST_CASE(optimisationSteps_should_translate_chromosomes_genes_to_optimisation_step_names)
{
BOOST_TEST(Chromosome("ChrOmOsoMe").optimisationSteps() == ChrOmOsoMeSteps);
}
BOOST_AUTO_TEST_CASE(randomOptimisationStep_should_return_each_step_with_same_probability)
{
SimulationRNG::reset(1);
constexpr int samplesPerStep = 500;
constexpr double relativeTolerance = 0.02;
map stepIndices = enumerateOptmisationSteps();
vector samples;
for (size_t i = 0; i <= stepIndices.size() * samplesPerStep; ++i)
samples.push_back(stepIndices.at(Chromosome::randomOptimisationStep()));
const double expectedValue = double(stepIndices.size() - 1) / 2.0;
const double variance = double(stepIndices.size() * stepIndices.size() - 1) / 12.0;
BOOST_TEST(abs(mean(samples) - expectedValue) < expectedValue * relativeTolerance);
BOOST_TEST(abs(meanSquaredError(samples, expectedValue) - variance) < variance * relativeTolerance);
}
BOOST_AUTO_TEST_CASE(stepsToGenes_should_translate_optimisation_step_names_to_abbreviations)
{
BOOST_TEST(Chromosome::stepsToGenes({}) == "");
BOOST_TEST(Chromosome::stepsToGenes(ChrOmOsoMeSteps) == "ChrOmOsoMe");
}
BOOST_AUTO_TEST_CASE(genesToSteps_should_translate_optimisation_step_abbreviations_to_names)
{
BOOST_TEST(Chromosome::genesToSteps("") == vector{});
BOOST_TEST(Chromosome::genesToSteps("ChrOmOsoMe") == ChrOmOsoMeSteps);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
}