/* 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 #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include 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() }