mirror of https://github.com/google/oss-fuzz.git
72 lines
2.1 KiB
C++
72 lines
2.1 KiB
C++
// Copyright 2019 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <cstddef>
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#include <cstdint>
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#include <cstdlib>
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#include <string>
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#include "Eigen/Core"
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#include "Eigen/src/Core/Matrix.h"
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using ::Eigen::Matrix;
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using ::Eigen::Dynamic;
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using ::Eigen::Lower;
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using ::Eigen::Upper;
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int ConsumeNextInt(const uint8_t** data, size_t* size) {
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if (*size < sizeof(int)) {
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return 0;
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}
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int result;
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memcpy(&result, *data, sizeof(int));
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*size -= sizeof(int);
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*data += sizeof(int);
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return result;
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}
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extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
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const size_t rows = static_cast<size_t>(ConsumeNextInt(&data, &size));
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const size_t columns = static_cast<size_t>(ConsumeNextInt(&data, &size));
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if (rows == 0 || columns == 0) {
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return 0;
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}
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if (rows > 1024 || columns > 1024) {
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return 0;
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}
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// We can do this same fuzz test with other templated types. Here, we just use
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// an int.
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Matrix<int, Dynamic, 1> vec(rows);
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for (size_t i = 0; i < rows; ++i) {
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vec(i) = ConsumeNextInt(&data, &size);
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}
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Matrix<int, Dynamic, Dynamic> matrix(rows, columns);
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for (int i = 0; i < rows; ++i) {
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for (int j = 0; j < columns; ++j) {
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matrix(i, j) = ConsumeNextInt(&data, &size);
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}
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}
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matrix.template triangularView<Lower>().solve(vec);
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matrix.template triangularView<Upper>().solve(vec);
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matrix.conjugate().template triangularView<Lower>().solve(vec);
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matrix.conjugate().template triangularView<Upper>().solve(vec);
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matrix.transpose().template triangularView<Lower>().solve(vec);
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matrix.transpose().template triangularView<Upper>().solve(vec);
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return 0;
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}
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