/* 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 using namespace solidity::util; using namespace std; SparseMatrix::SparseMatrixIterator SparseMatrix::IteratorCombiner::begin() { return SparseMatrixIterator( m_isRow ? m_matrix.m_row_start[m_RowOrColumn] : m_matrix.m_col_start[m_RowOrColumn], m_isRow ); } SparseMatrix::SparseMatrixIterator SparseMatrix::IteratorCombiner::end() { return SparseMatrixIterator(nullptr, m_isRow); } SparseMatrix::IteratorCombiner SparseMatrix::enumerateColumn(size_t _column) { return IteratorCombiner{ _column, false, *this }; } SparseMatrix::IteratorCombiner SparseMatrix::enumerateRow(size_t _row) { return IteratorCombiner{ _row, true, *this }; } void SparseMatrix::multiplyRowByFactor(size_t _row, rational const& _factor) { Entry* e = m_row_start[_row]; while (e) { e->value *= _factor; Entry* next = e->next_in_row; if (!e->value) remove(*e); e = next; } } void SparseMatrix::addMultipleOfRow(size_t _sourceRow, size_t _targetRow, rational const& _factor) { Entry* source = m_row_start[_sourceRow]; Entry* target = m_row_start[_targetRow]; while (source) { while (target && target->col < source->col) target = target->next_in_row; if (target && target->col == source->col) { target->value += _factor * source->value; if (!target->value) { Entry* next = target->next_in_row; remove(*target); target = next; } } target = prependInRow(target, _targetRow, source->col, _factor * source->value)->next_in_row; source = source->next_in_row; } } void SparseMatrix::appendRow(LinearExpression const& _entries) { m_row_start.push_back(nullptr); m_row_end.push_back(nullptr); size_t row_nr = m_row_start.size() - 1; for (auto&& [i, v]: _entries.enumerate()) { if (!v) continue; prependInRow(nullptr, row_nr, i, move(v)); } } void SparseMatrix::remove(SparseMatrix::Entry& _e) { if (_e.prev_in_row) _e.prev_in_row->next_in_row = _e.next_in_row; else m_row_start[_e.row] = _e.next_in_row; if (_e.next_in_row) _e.next_in_row->prev_in_row = _e.prev_in_row; else m_row_end[_e.row] = _e.prev_in_row; if (_e.prev_in_col) _e.prev_in_col->next_in_col = _e.next_in_col; else m_col_start[_e.col] = _e.next_in_col; if (_e.next_in_col) _e.next_in_col->prev_in_col = _e.prev_in_col; else m_col_end[_e.col] = _e.prev_in_col; } SparseMatrix::Entry* SparseMatrix::prependInRow(Entry* _successor, size_t _row, size_t _column, rational _value) { m_elements.emplace_back(make_unique(Entry{ move(_value), _row, _column, nullptr, _successor, nullptr, nullptr })); Entry* e = m_elements.back().get(); if (_successor) { e->prev_in_row = _successor->prev_in_row; _successor->prev_in_row = e; } else { e->prev_in_row = m_row_end[_row]; m_row_end[_row] = e; } if (e->prev_in_row) e->prev_in_row->next_in_row = e; else m_row_start[_row] = e; adjustColumnProperties(*e); return e; } void SparseMatrix::adjustColumnProperties(Entry& _entry) { size_t column = _entry.col; if (column >= m_col_start.size()) { m_col_start.resize(column + 1); m_col_end.resize(column + 1); } Entry* c = nullptr; if (m_col_end[column] && m_col_end[column]->row > _entry.row) { c = m_col_start[column]; // TODO could choose to search from end while (c && c->row < _entry.row) c = c->next_in_col; } _entry.next_in_col = c; if (c) { _entry.prev_in_col = c->prev_in_col; c->prev_in_col = &_entry; } else { _entry.prev_in_col = m_col_end[column]; m_col_end[column] = &_entry; } if (_entry.prev_in_col) _entry.prev_in_col->next_in_col = &_entry; else m_col_start[column] = &_entry; }