mirror of
https://github.com/ethereum/solidity
synced 2023-10-03 13:03:40 +00:00
72 lines
2.0 KiB
C++
72 lines
2.0 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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// SPDX-License-Identifier: GPL-3.0
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#include <tools/yulPhaser/Selections.h>
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#include <tools/yulPhaser/SimulationRNG.h>
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#include <cmath>
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#include <numeric>
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using namespace std;
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using namespace solidity::phaser;
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vector<size_t> RangeSelection::materialise(size_t _poolSize) const
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{
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size_t beginIndex = static_cast<size_t>(round(_poolSize * m_startPercent));
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size_t endIndex = static_cast<size_t>(round(_poolSize * m_endPercent));
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vector<size_t> selection;
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for (size_t i = beginIndex; i < endIndex; ++i)
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selection.push_back(i);
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return selection;
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}
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vector<size_t> MosaicSelection::materialise(size_t _poolSize) const
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{
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size_t count = static_cast<size_t>(round(_poolSize * m_selectionSize));
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vector<size_t> selection;
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for (size_t i = 0; i < count; ++i)
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selection.push_back(min(m_pattern[i % m_pattern.size()], _poolSize - 1));
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return selection;
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}
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vector<size_t> RandomSelection::materialise(size_t _poolSize) const
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{
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size_t count = static_cast<size_t>(round(_poolSize * m_selectionSize));
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vector<size_t> selection;
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for (size_t i = 0; i < count; ++i)
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selection.push_back(SimulationRNG::uniformInt(0, _poolSize - 1));
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return selection;
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}
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vector<size_t> RandomSubset::materialise(size_t _poolSize) const
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{
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vector<size_t> selection;
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for (size_t index = 0; index < _poolSize; ++index)
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if (SimulationRNG::bernoulliTrial(m_selectionChance))
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selection.push_back(index);
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return selection;
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}
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