Coverage Report

Created: 2025-07-04 06:51

/src/basicstuff_fuzzer.cc
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Source
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// Copyright 2020 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 <fuzzer/FuzzedDataProvider.h>
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#include "Eigen/Core"
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namespace {
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static constexpr Eigen::Index kEigenTestMaxSize = 64;
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static constexpr Eigen::Index kEigenIndexOne = static_cast<Eigen::Index>(1);
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template <typename T>
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725k
T ConsumeValue(FuzzedDataProvider* stream) {
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725k
  return stream->ConsumeIntegral<T>();
27
725k
}
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29
template <>
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864k
float ConsumeValue(FuzzedDataProvider* stream) {
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864k
  return stream->ConsumeFloatingPoint<float>();
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864k
}
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template <>
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717k
double ConsumeValue(FuzzedDataProvider* stream) {
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717k
  return stream->ConsumeFloatingPoint<double>();
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717k
}
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template <>
40
1.22M
long double ConsumeValue(FuzzedDataProvider* stream) {
41
1.22M
  return stream->ConsumeFloatingPoint<long double>();
42
1.22M
}
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template <>
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604k
std::complex<float> ConsumeValue(FuzzedDataProvider* stream) {
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604k
  return std::complex<float>(stream->ConsumeFloatingPoint<float>(),
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604k
                             stream->ConsumeFloatingPoint<float>());
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604k
}
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template <>
51
1.22M
std::complex<double> ConsumeValue(FuzzedDataProvider* stream) {
52
1.22M
  return std::complex<float>(stream->ConsumeFloatingPoint<double>(),
53
1.22M
                             stream->ConsumeFloatingPoint<double>());
54
1.22M
}
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template <typename MatrixType>
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MatrixType GenerateTestMatrix(size_t rows, size_t cols,
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29.4k
                              FuzzedDataProvider* stream) {
59
29.4k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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5.35M
  for (auto& value : test_data) {
61
5.35M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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5.35M
  }
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29.4k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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29.4k
  return MatrixType(mapped_map);
65
29.4k
}
basicstuff_fuzzer.cc:Eigen::Matrix<std::__1::complex<float>, -1, -1, 0, -1, -1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<std::__1::complex<float>, -1, -1, 0, -1, -1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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4.41k
                              FuzzedDataProvider* stream) {
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4.41k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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596k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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4.41k
}
basicstuff_fuzzer.cc:Eigen::Matrix<std::__1::complex<float>, -1, 1, 0, -1, 1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<std::__1::complex<float>, -1, 1, 0, -1, 1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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58
1.47k
                              FuzzedDataProvider* stream) {
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1.47k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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6.87k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.47k
}
basicstuff_fuzzer.cc:Eigen::Matrix<int, -1, -1, 0, -1, -1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<int, -1, -1, 0, -1, -1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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58
4.41k
                              FuzzedDataProvider* stream) {
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  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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4.41k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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4.41k
}
basicstuff_fuzzer.cc:Eigen::Matrix<int, -1, 1, 0, -1, 1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<int, -1, 1, 0, -1, 1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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58
1.47k
                              FuzzedDataProvider* stream) {
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  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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7.62k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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}
basicstuff_fuzzer.cc:Eigen::Matrix<std::__1::complex<double>, -1, -1, 0, -1, -1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<std::__1::complex<double>, -1, -1, 0, -1, -1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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4.41k
                              FuzzedDataProvider* stream) {
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  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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1.21M
  for (auto& value : test_data) {
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1.21M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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4.41k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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}
basicstuff_fuzzer.cc:Eigen::Matrix<std::__1::complex<double>, -1, 1, 0, -1, 1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<std::__1::complex<double>, -1, 1, 0, -1, 1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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58
1.47k
                              FuzzedDataProvider* stream) {
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1.47k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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11.0k
  for (auto& value : test_data) {
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11.0k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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1.47k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.47k
}
basicstuff_fuzzer.cc:Eigen::Matrix<long double, -1, -1, 0, -1, -1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<long double, -1, -1, 0, -1, -1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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4.41k
                              FuzzedDataProvider* stream) {
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  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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1.21M
  for (auto& value : test_data) {
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1.21M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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1.21M
  }
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4.41k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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}
basicstuff_fuzzer.cc:Eigen::Matrix<long double, -1, 1, 0, -1, 1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<long double, -1, 1, 0, -1, 1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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58
1.47k
                              FuzzedDataProvider* stream) {
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1.47k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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11.5k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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1.47k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.47k
}
basicstuff_fuzzer.cc:Eigen::Matrix<float, -1, -1, 0, -1, -1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<float, -1, -1, 0, -1, -1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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2.94k
                              FuzzedDataProvider* stream) {
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2.94k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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864k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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2.94k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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2.94k
}
basicstuff_fuzzer.cc:Eigen::Matrix<double, -1, -1, 0, -1, -1> (anonymous namespace)::GenerateTestMatrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >(unsigned long, unsigned long, FuzzedDataProvider*)
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58
2.94k
                              FuzzedDataProvider* stream) {
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2.94k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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717k
  for (auto& value : test_data) {
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717k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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717k
  }
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2.94k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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2.94k
  return MatrixType(mapped_map);
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2.94k
}
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template <typename MatrixType>
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void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
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  typedef typename MatrixType::Scalar Scalar;
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  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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5.88k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
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5.88k
                        MatrixType::RowsAtCompileTime>
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5.88k
      SquareMatrixType;
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5.88k
  Eigen::Index rows = m.rows();
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5.88k
  Eigen::Index cols = m.cols();
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5.88k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
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5.88k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
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5.88k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
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5.88k
             square = GenerateTestMatrix<
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5.88k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
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5.88k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
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5.88k
                                                               stream);
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5.88k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
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5.88k
             vzero = VectorType::Zero(rows);
87
5.88k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
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89
5.88k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
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5.88k
  Eigen::Index r = stream->ConsumeIntegralInRange(
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5.88k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
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5.88k
               c = stream->ConsumeIntegralInRange(
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5.88k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
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5.88k
  m1.coeffRef(r, c) = x;
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5.88k
  m1(r, c) = x;
98
5.88k
  v1.coeffRef(r) = x;
99
5.88k
  v1(r) = x;
100
5.88k
  v1[r] = x;
101
102
5.88k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
5.88k
      static_cast<Eigen::Index>(0),
104
5.88k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
5.88k
  x = v1(static_cast<char>(r1));
106
5.88k
  x = v1(static_cast<signed char>(r1));
107
5.88k
  x = v1(static_cast<unsigned char>(r1));
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5.88k
  x = v1(static_cast<signed short>(r1));
109
5.88k
  x = v1(static_cast<unsigned short>(r1));
110
5.88k
  x = v1(static_cast<signed int>(r1));
111
5.88k
  x = v1(static_cast<unsigned int>(r1));
112
5.88k
  x = v1(static_cast<signed long>(r1));
113
5.88k
  x = v1(static_cast<unsigned long>(r1));
114
5.88k
  x = v1(static_cast<long long int>(r1));
115
5.88k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
5.88k
  square.col(r) = square.row(r).eval();
119
5.88k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
5.88k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
5.88k
  rv = square.row(r);
122
5.88k
  cv = square.col(r);
123
124
5.88k
  cv.transpose();
125
126
5.88k
  m3.real() = m1.real();
127
5.88k
  m1 = m2;
128
129
5.88k
  sm2.setZero();
130
43.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
5.88k
  sm2.setZero();
133
43.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
5.88k
  sm2.setZero();
136
43.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
5.88k
  sm2.setZero();
139
43.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
5.88k
}
basicstuff_fuzzer.cc:void (anonymous namespace)::basicStuff<Eigen::Matrix<std::__1::complex<float>, -1, -1, 0, -1, -1> >(Eigen::Matrix<std::__1::complex<float>, -1, -1, 0, -1, -1> const&, FuzzedDataProvider*)
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68
1.47k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.47k
  typedef typename MatrixType::Scalar Scalar;
70
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.47k
                        MatrixType::RowsAtCompileTime>
73
1.47k
      SquareMatrixType;
74
75
1.47k
  Eigen::Index rows = m.rows();
76
1.47k
  Eigen::Index cols = m.cols();
77
78
1.47k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.47k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.47k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.47k
             square = GenerateTestMatrix<
82
1.47k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.47k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.47k
                                                               stream);
85
1.47k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.47k
             vzero = VectorType::Zero(rows);
87
1.47k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.47k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.47k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.47k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.47k
               c = stream->ConsumeIntegralInRange(
94
1.47k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.47k
  m1.coeffRef(r, c) = x;
97
1.47k
  m1(r, c) = x;
98
1.47k
  v1.coeffRef(r) = x;
99
1.47k
  v1(r) = x;
100
1.47k
  v1[r] = x;
101
102
1.47k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.47k
      static_cast<Eigen::Index>(0),
104
1.47k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.47k
  x = v1(static_cast<char>(r1));
106
1.47k
  x = v1(static_cast<signed char>(r1));
107
1.47k
  x = v1(static_cast<unsigned char>(r1));
108
1.47k
  x = v1(static_cast<signed short>(r1));
109
1.47k
  x = v1(static_cast<unsigned short>(r1));
110
1.47k
  x = v1(static_cast<signed int>(r1));
111
1.47k
  x = v1(static_cast<unsigned int>(r1));
112
1.47k
  x = v1(static_cast<signed long>(r1));
113
1.47k
  x = v1(static_cast<unsigned long>(r1));
114
1.47k
  x = v1(static_cast<long long int>(r1));
115
1.47k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.47k
  square.col(r) = square.row(r).eval();
119
1.47k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.47k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.47k
  rv = square.row(r);
122
1.47k
  cv = square.col(r);
123
124
1.47k
  cv.transpose();
125
126
1.47k
  m3.real() = m1.real();
127
1.47k
  m1 = m2;
128
129
1.47k
  sm2.setZero();
130
8.34k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.47k
  sm2.setZero();
133
8.34k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.47k
  sm2.setZero();
136
8.34k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.47k
  sm2.setZero();
139
8.34k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.47k
}
basicstuff_fuzzer.cc:void (anonymous namespace)::basicStuff<Eigen::Matrix<int, -1, -1, 0, -1, -1> >(Eigen::Matrix<int, -1, -1, 0, -1, -1> const&, FuzzedDataProvider*)
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void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.47k
  typedef typename MatrixType::Scalar Scalar;
70
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.47k
                        MatrixType::RowsAtCompileTime>
73
1.47k
      SquareMatrixType;
74
75
1.47k
  Eigen::Index rows = m.rows();
76
1.47k
  Eigen::Index cols = m.cols();
77
78
1.47k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.47k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.47k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.47k
             square = GenerateTestMatrix<
82
1.47k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.47k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.47k
                                                               stream);
85
1.47k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.47k
             vzero = VectorType::Zero(rows);
87
1.47k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.47k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.47k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.47k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.47k
               c = stream->ConsumeIntegralInRange(
94
1.47k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.47k
  m1.coeffRef(r, c) = x;
97
1.47k
  m1(r, c) = x;
98
1.47k
  v1.coeffRef(r) = x;
99
1.47k
  v1(r) = x;
100
1.47k
  v1[r] = x;
101
102
1.47k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.47k
      static_cast<Eigen::Index>(0),
104
1.47k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.47k
  x = v1(static_cast<char>(r1));
106
1.47k
  x = v1(static_cast<signed char>(r1));
107
1.47k
  x = v1(static_cast<unsigned char>(r1));
108
1.47k
  x = v1(static_cast<signed short>(r1));
109
1.47k
  x = v1(static_cast<unsigned short>(r1));
110
1.47k
  x = v1(static_cast<signed int>(r1));
111
1.47k
  x = v1(static_cast<unsigned int>(r1));
112
1.47k
  x = v1(static_cast<signed long>(r1));
113
1.47k
  x = v1(static_cast<unsigned long>(r1));
114
1.47k
  x = v1(static_cast<long long int>(r1));
115
1.47k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.47k
  square.col(r) = square.row(r).eval();
119
1.47k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.47k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.47k
  rv = square.row(r);
122
1.47k
  cv = square.col(r);
123
124
1.47k
  cv.transpose();
125
126
1.47k
  m3.real() = m1.real();
127
1.47k
  m1 = m2;
128
129
1.47k
  sm2.setZero();
130
9.09k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.47k
  sm2.setZero();
133
9.09k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.47k
  sm2.setZero();
136
9.09k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.47k
  sm2.setZero();
139
9.09k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.47k
}
basicstuff_fuzzer.cc:void (anonymous namespace)::basicStuff<Eigen::Matrix<std::__1::complex<double>, -1, -1, 0, -1, -1> >(Eigen::Matrix<std::__1::complex<double>, -1, -1, 0, -1, -1> const&, FuzzedDataProvider*)
Line
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Source
68
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void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.47k
  typedef typename MatrixType::Scalar Scalar;
70
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.47k
                        MatrixType::RowsAtCompileTime>
73
1.47k
      SquareMatrixType;
74
75
1.47k
  Eigen::Index rows = m.rows();
76
1.47k
  Eigen::Index cols = m.cols();
77
78
1.47k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.47k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.47k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.47k
             square = GenerateTestMatrix<
82
1.47k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.47k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.47k
                                                               stream);
85
1.47k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.47k
             vzero = VectorType::Zero(rows);
87
1.47k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.47k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.47k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.47k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.47k
               c = stream->ConsumeIntegralInRange(
94
1.47k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.47k
  m1.coeffRef(r, c) = x;
97
1.47k
  m1(r, c) = x;
98
1.47k
  v1.coeffRef(r) = x;
99
1.47k
  v1(r) = x;
100
1.47k
  v1[r] = x;
101
102
1.47k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.47k
      static_cast<Eigen::Index>(0),
104
1.47k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.47k
  x = v1(static_cast<char>(r1));
106
1.47k
  x = v1(static_cast<signed char>(r1));
107
1.47k
  x = v1(static_cast<unsigned char>(r1));
108
1.47k
  x = v1(static_cast<signed short>(r1));
109
1.47k
  x = v1(static_cast<unsigned short>(r1));
110
1.47k
  x = v1(static_cast<signed int>(r1));
111
1.47k
  x = v1(static_cast<unsigned int>(r1));
112
1.47k
  x = v1(static_cast<signed long>(r1));
113
1.47k
  x = v1(static_cast<unsigned long>(r1));
114
1.47k
  x = v1(static_cast<long long int>(r1));
115
1.47k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.47k
  square.col(r) = square.row(r).eval();
119
1.47k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.47k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.47k
  rv = square.row(r);
122
1.47k
  cv = square.col(r);
123
124
1.47k
  cv.transpose();
125
126
1.47k
  m3.real() = m1.real();
127
1.47k
  m1 = m2;
128
129
1.47k
  sm2.setZero();
130
12.5k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.47k
  sm2.setZero();
133
12.5k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.47k
  sm2.setZero();
136
12.5k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.47k
  sm2.setZero();
139
12.5k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.47k
}
basicstuff_fuzzer.cc:void (anonymous namespace)::basicStuff<Eigen::Matrix<long double, -1, -1, 0, -1, -1> >(Eigen::Matrix<long double, -1, -1, 0, -1, -1> const&, FuzzedDataProvider*)
Line
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Source
68
1.47k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.47k
  typedef typename MatrixType::Scalar Scalar;
70
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.47k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.47k
                        MatrixType::RowsAtCompileTime>
73
1.47k
      SquareMatrixType;
74
75
1.47k
  Eigen::Index rows = m.rows();
76
1.47k
  Eigen::Index cols = m.cols();
77
78
1.47k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.47k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.47k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.47k
             square = GenerateTestMatrix<
82
1.47k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.47k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.47k
                                                               stream);
85
1.47k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.47k
             vzero = VectorType::Zero(rows);
87
1.47k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.47k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.47k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.47k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.47k
               c = stream->ConsumeIntegralInRange(
94
1.47k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.47k
  m1.coeffRef(r, c) = x;
97
1.47k
  m1(r, c) = x;
98
1.47k
  v1.coeffRef(r) = x;
99
1.47k
  v1(r) = x;
100
1.47k
  v1[r] = x;
101
102
1.47k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.47k
      static_cast<Eigen::Index>(0),
104
1.47k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.47k
  x = v1(static_cast<char>(r1));
106
1.47k
  x = v1(static_cast<signed char>(r1));
107
1.47k
  x = v1(static_cast<unsigned char>(r1));
108
1.47k
  x = v1(static_cast<signed short>(r1));
109
1.47k
  x = v1(static_cast<unsigned short>(r1));
110
1.47k
  x = v1(static_cast<signed int>(r1));
111
1.47k
  x = v1(static_cast<unsigned int>(r1));
112
1.47k
  x = v1(static_cast<signed long>(r1));
113
1.47k
  x = v1(static_cast<unsigned long>(r1));
114
1.47k
  x = v1(static_cast<long long int>(r1));
115
1.47k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.47k
  square.col(r) = square.row(r).eval();
119
1.47k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.47k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.47k
  rv = square.row(r);
122
1.47k
  cv = square.col(r);
123
124
1.47k
  cv.transpose();
125
126
1.47k
  m3.real() = m1.real();
127
1.47k
  m1 = m2;
128
129
1.47k
  sm2.setZero();
130
13.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.47k
  sm2.setZero();
133
13.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.47k
  sm2.setZero();
136
13.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.47k
  sm2.setZero();
139
13.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.47k
}
141
142
template <typename MatrixType>
143
2.94k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
2.94k
  typedef typename MatrixType::Scalar Scalar;
145
2.94k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
2.94k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
2.94k
                        MatrixType::ColsAtCompileTime>
148
2.94k
      RealMatrixType;
149
150
2.94k
  Eigen::Index rows = m.rows();
151
2.94k
  Eigen::Index cols = m.cols();
152
153
2.94k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
2.94k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
2.94k
  MatrixType cm(rows, cols);
156
2.94k
  cm.real() = rm1;
157
2.94k
  cm.imag() = rm2;
158
2.94k
  rm1.setZero();
159
2.94k
  rm2.setZero();
160
2.94k
  rm1 = cm.real();
161
2.94k
  rm2 = cm.imag();
162
2.94k
  cm.real().setZero();
163
2.94k
}
basicstuff_fuzzer.cc:void (anonymous namespace)::basicStuffComplex<Eigen::Matrix<std::__1::complex<float>, -1, -1, 0, -1, -1> >(Eigen::Matrix<std::__1::complex<float>, -1, -1, 0, -1, -1> const&, FuzzedDataProvider*)
Line
Count
Source
143
1.47k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.47k
  typedef typename MatrixType::Scalar Scalar;
145
1.47k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.47k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.47k
                        MatrixType::ColsAtCompileTime>
148
1.47k
      RealMatrixType;
149
150
1.47k
  Eigen::Index rows = m.rows();
151
1.47k
  Eigen::Index cols = m.cols();
152
153
1.47k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.47k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.47k
  MatrixType cm(rows, cols);
156
1.47k
  cm.real() = rm1;
157
1.47k
  cm.imag() = rm2;
158
1.47k
  rm1.setZero();
159
1.47k
  rm2.setZero();
160
1.47k
  rm1 = cm.real();
161
1.47k
  rm2 = cm.imag();
162
1.47k
  cm.real().setZero();
163
1.47k
}
basicstuff_fuzzer.cc:void (anonymous namespace)::basicStuffComplex<Eigen::Matrix<std::__1::complex<double>, -1, -1, 0, -1, -1> >(Eigen::Matrix<std::__1::complex<double>, -1, -1, 0, -1, -1> const&, FuzzedDataProvider*)
Line
Count
Source
143
1.47k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.47k
  typedef typename MatrixType::Scalar Scalar;
145
1.47k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.47k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.47k
                        MatrixType::ColsAtCompileTime>
148
1.47k
      RealMatrixType;
149
150
1.47k
  Eigen::Index rows = m.rows();
151
1.47k
  Eigen::Index cols = m.cols();
152
153
1.47k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.47k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.47k
  MatrixType cm(rows, cols);
156
1.47k
  cm.real() = rm1;
157
1.47k
  cm.imag() = rm2;
158
1.47k
  rm1.setZero();
159
1.47k
  rm2.setZero();
160
1.47k
  rm1 = cm.real();
161
1.47k
  rm2 = cm.imag();
162
1.47k
  cm.real().setZero();
163
1.47k
}
164
165
}  // namespace
166
167
1.47k
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
168
1.47k
  FuzzedDataProvider stream(data, size);
169
170
1.47k
  basicStuff(
171
1.47k
      Eigen::MatrixXcf(
172
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
173
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
174
1.47k
      &stream);
175
1.47k
  basicStuff(
176
1.47k
      Eigen::MatrixXi(
177
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
178
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
179
1.47k
      &stream);
180
1.47k
  basicStuff(
181
1.47k
      Eigen::MatrixXcd(
182
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
183
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
184
1.47k
      &stream);
185
1.47k
  basicStuff(
186
1.47k
      Eigen::Matrix<long double, Eigen::Dynamic, Eigen::Dynamic>(
187
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
188
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
189
1.47k
      &stream);
190
1.47k
  basicStuffComplex(
191
1.47k
      Eigen::MatrixXcf(
192
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
193
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
194
1.47k
      &stream);
195
1.47k
  basicStuffComplex(
196
1.47k
      Eigen::MatrixXcd(
197
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
198
1.47k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
199
1.47k
      &stream);
200
201
1.47k
  return 0;
202
1.47k
}