| /* |
| * Copyright 2022 WebAssembly Community Group participants |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| // A helper type for potentially sparse N*N matrix container. |
| |
| #pragma once |
| |
| #include <assert.h> |
| #include <stdint.h> |
| #include <unordered_map> |
| #include <vector> |
| |
| template<typename Ty> class sparse_square_matrix { |
| std::vector<Ty> denseStorage; |
| std::unordered_map<uint64_t, Ty> sparseStorage; |
| uint32_t N; |
| |
| public: |
| sparse_square_matrix() : N(0) {} |
| |
| explicit sparse_square_matrix(int N) : N(N) { |
| if (N < DenseLimit) { |
| denseStorage.resize(N * N); |
| } |
| } |
| |
| static const size_t DenseLimit = 8192; |
| |
| uint32_t width() const { return N; } |
| |
| bool usingDenseStorage() const { return !denseStorage.empty(); } |
| |
| void set(uint32_t i, uint32_t j, const Ty& value) { |
| assert(i < N); |
| assert(j < N); |
| if (usingDenseStorage()) { |
| denseStorage[i * N + j] = value; |
| } else { |
| sparseStorage[i * N + j] = value; |
| } |
| } |
| |
| const Ty get(uint32_t i, uint32_t j) const { |
| assert(i < N); |
| assert(j < N); |
| if (usingDenseStorage()) { |
| return denseStorage[i * N + j]; |
| } |
| auto iter = sparseStorage.find(i * N + j); |
| return iter == sparseStorage.end() ? Ty() : iter->second; |
| } |
| |
| // Resizes the matrix to a new n*n size, and clears all entries |
| // to the default-initialized value. |
| void recreate(uint32_t n) { |
| N = n; |
| denseStorage.clear(); |
| sparseStorage.clear(); |
| if (N < DenseLimit) { |
| denseStorage.resize(N * N); |
| } |
| } |
| }; |