Coverage Report

Created: 2024-05-20 06:05

/src/basicstuff_fuzzer.cc
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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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644k
T ConsumeValue(FuzzedDataProvider* stream) {
26
644k
  return stream->ConsumeIntegral<T>();
27
644k
}
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29
template <>
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863k
float ConsumeValue(FuzzedDataProvider* stream) {
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863k
  return stream->ConsumeFloatingPoint<float>();
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863k
}
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template <>
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727k
double ConsumeValue(FuzzedDataProvider* stream) {
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727k
  return stream->ConsumeFloatingPoint<double>();
37
727k
}
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template <>
40
1.07M
long double ConsumeValue(FuzzedDataProvider* stream) {
41
1.07M
  return stream->ConsumeFloatingPoint<long double>();
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1.07M
}
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template <>
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660k
std::complex<float> ConsumeValue(FuzzedDataProvider* stream) {
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660k
  return std::complex<float>(stream->ConsumeFloatingPoint<float>(),
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660k
                             stream->ConsumeFloatingPoint<float>());
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660k
}
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template <>
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926k
std::complex<double> ConsumeValue(FuzzedDataProvider* stream) {
52
926k
  return std::complex<float>(stream->ConsumeFloatingPoint<double>(),
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926k
                             stream->ConsumeFloatingPoint<double>());
54
926k
}
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template <typename MatrixType>
57
MatrixType GenerateTestMatrix(size_t rows, size_t cols,
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30.2k
                              FuzzedDataProvider* stream) {
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30.2k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
4.88M
  for (auto& value : test_data) {
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4.88M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
4.88M
  }
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30.2k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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30.2k
  return MatrixType(mapped_map);
65
30.2k
}
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
4.53k
                              FuzzedDataProvider* stream) {
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4.53k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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651k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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651k
  }
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4.53k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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4.53k
  return MatrixType(mapped_map);
65
4.53k
}
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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1.51k
                              FuzzedDataProvider* stream) {
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1.51k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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7.14k
  for (auto& value : test_data) {
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7.14k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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7.14k
  }
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1.51k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.51k
}
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
4.53k
                              FuzzedDataProvider* stream) {
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4.53k
  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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  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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4.53k
}
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
1.51k
                              FuzzedDataProvider* stream) {
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1.51k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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7.24k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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1.51k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.51k
}
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
4.53k
                              FuzzedDataProvider* stream) {
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4.53k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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916k
  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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4.53k
}
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
1.51k
                              FuzzedDataProvider* stream) {
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1.51k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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8.89k
  for (auto& value : test_data) {
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8.89k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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8.89k
  }
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1.51k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.51k
}
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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4.53k
                              FuzzedDataProvider* stream) {
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4.53k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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1.05M
  for (auto& value : test_data) {
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1.05M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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1.05M
  }
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4.53k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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4.53k
  return MatrixType(mapped_map);
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4.53k
}
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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1.51k
                              FuzzedDataProvider* stream) {
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1.51k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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10.5k
  for (auto& value : test_data) {
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10.5k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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10.5k
  }
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1.51k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.51k
}
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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3.02k
                              FuzzedDataProvider* stream) {
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3.02k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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863k
  for (auto& value : test_data) {
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863k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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863k
  }
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3.02k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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3.02k
  return MatrixType(mapped_map);
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3.02k
}
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
3.02k
                              FuzzedDataProvider* stream) {
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3.02k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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727k
  for (auto& value : test_data) {
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727k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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727k
  }
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3.02k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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3.02k
  return MatrixType(mapped_map);
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3.02k
}
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template <typename MatrixType>
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6.04k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
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  typedef typename MatrixType::Scalar Scalar;
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6.04k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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6.04k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
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6.04k
                        MatrixType::RowsAtCompileTime>
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6.04k
      SquareMatrixType;
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6.04k
  Eigen::Index rows = m.rows();
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6.04k
  Eigen::Index cols = m.cols();
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6.04k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
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6.04k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
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6.04k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
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6.04k
             square = GenerateTestMatrix<
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6.04k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
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6.04k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
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6.04k
                                                               stream);
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6.04k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
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6.04k
             vzero = VectorType::Zero(rows);
87
6.04k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
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89
6.04k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
6.04k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
6.04k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
6.04k
               c = stream->ConsumeIntegralInRange(
94
6.04k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
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6.04k
  m1.coeffRef(r, c) = x;
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6.04k
  m1(r, c) = x;
98
6.04k
  v1.coeffRef(r) = x;
99
6.04k
  v1(r) = x;
100
6.04k
  v1[r] = x;
101
102
6.04k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
6.04k
      static_cast<Eigen::Index>(0),
104
6.04k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
6.04k
  x = v1(static_cast<char>(r1));
106
6.04k
  x = v1(static_cast<signed char>(r1));
107
6.04k
  x = v1(static_cast<unsigned char>(r1));
108
6.04k
  x = v1(static_cast<signed short>(r1));
109
6.04k
  x = v1(static_cast<unsigned short>(r1));
110
6.04k
  x = v1(static_cast<signed int>(r1));
111
6.04k
  x = v1(static_cast<unsigned int>(r1));
112
6.04k
  x = v1(static_cast<signed long>(r1));
113
6.04k
  x = v1(static_cast<unsigned long>(r1));
114
6.04k
  x = v1(static_cast<long long int>(r1));
115
6.04k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
6.04k
  square.col(r) = square.row(r).eval();
119
6.04k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
6.04k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
6.04k
  rv = square.row(r);
122
6.04k
  cv = square.col(r);
123
124
6.04k
  cv.transpose();
125
126
6.04k
  m3.real() = m1.real();
127
6.04k
  m1 = m2;
128
129
6.04k
  sm2.setZero();
130
39.8k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
6.04k
  sm2.setZero();
133
39.8k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
6.04k
  sm2.setZero();
136
39.8k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
6.04k
  sm2.setZero();
139
39.8k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
6.04k
}
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
1.51k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.51k
  typedef typename MatrixType::Scalar Scalar;
70
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.51k
                        MatrixType::RowsAtCompileTime>
73
1.51k
      SquareMatrixType;
74
75
1.51k
  Eigen::Index rows = m.rows();
76
1.51k
  Eigen::Index cols = m.cols();
77
78
1.51k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.51k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.51k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.51k
             square = GenerateTestMatrix<
82
1.51k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.51k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.51k
                                                               stream);
85
1.51k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.51k
             vzero = VectorType::Zero(rows);
87
1.51k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.51k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.51k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.51k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.51k
               c = stream->ConsumeIntegralInRange(
94
1.51k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.51k
  m1.coeffRef(r, c) = x;
97
1.51k
  m1(r, c) = x;
98
1.51k
  v1.coeffRef(r) = x;
99
1.51k
  v1(r) = x;
100
1.51k
  v1[r] = x;
101
102
1.51k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.51k
      static_cast<Eigen::Index>(0),
104
1.51k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.51k
  x = v1(static_cast<char>(r1));
106
1.51k
  x = v1(static_cast<signed char>(r1));
107
1.51k
  x = v1(static_cast<unsigned char>(r1));
108
1.51k
  x = v1(static_cast<signed short>(r1));
109
1.51k
  x = v1(static_cast<unsigned short>(r1));
110
1.51k
  x = v1(static_cast<signed int>(r1));
111
1.51k
  x = v1(static_cast<unsigned int>(r1));
112
1.51k
  x = v1(static_cast<signed long>(r1));
113
1.51k
  x = v1(static_cast<unsigned long>(r1));
114
1.51k
  x = v1(static_cast<long long int>(r1));
115
1.51k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.51k
  square.col(r) = square.row(r).eval();
119
1.51k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.51k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.51k
  rv = square.row(r);
122
1.51k
  cv = square.col(r);
123
124
1.51k
  cv.transpose();
125
126
1.51k
  m3.real() = m1.real();
127
1.51k
  m1 = m2;
128
129
1.51k
  sm2.setZero();
130
8.65k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.51k
  sm2.setZero();
133
8.65k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.51k
  sm2.setZero();
136
8.65k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.51k
  sm2.setZero();
139
8.65k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.51k
}
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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68
1.51k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.51k
  typedef typename MatrixType::Scalar Scalar;
70
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.51k
                        MatrixType::RowsAtCompileTime>
73
1.51k
      SquareMatrixType;
74
75
1.51k
  Eigen::Index rows = m.rows();
76
1.51k
  Eigen::Index cols = m.cols();
77
78
1.51k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.51k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.51k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.51k
             square = GenerateTestMatrix<
82
1.51k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.51k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.51k
                                                               stream);
85
1.51k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.51k
             vzero = VectorType::Zero(rows);
87
1.51k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.51k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.51k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.51k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.51k
               c = stream->ConsumeIntegralInRange(
94
1.51k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.51k
  m1.coeffRef(r, c) = x;
97
1.51k
  m1(r, c) = x;
98
1.51k
  v1.coeffRef(r) = x;
99
1.51k
  v1(r) = x;
100
1.51k
  v1[r] = x;
101
102
1.51k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.51k
      static_cast<Eigen::Index>(0),
104
1.51k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.51k
  x = v1(static_cast<char>(r1));
106
1.51k
  x = v1(static_cast<signed char>(r1));
107
1.51k
  x = v1(static_cast<unsigned char>(r1));
108
1.51k
  x = v1(static_cast<signed short>(r1));
109
1.51k
  x = v1(static_cast<unsigned short>(r1));
110
1.51k
  x = v1(static_cast<signed int>(r1));
111
1.51k
  x = v1(static_cast<unsigned int>(r1));
112
1.51k
  x = v1(static_cast<signed long>(r1));
113
1.51k
  x = v1(static_cast<unsigned long>(r1));
114
1.51k
  x = v1(static_cast<long long int>(r1));
115
1.51k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.51k
  square.col(r) = square.row(r).eval();
119
1.51k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.51k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.51k
  rv = square.row(r);
122
1.51k
  cv = square.col(r);
123
124
1.51k
  cv.transpose();
125
126
1.51k
  m3.real() = m1.real();
127
1.51k
  m1 = m2;
128
129
1.51k
  sm2.setZero();
130
8.75k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.51k
  sm2.setZero();
133
8.75k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.51k
  sm2.setZero();
136
8.75k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.51k
  sm2.setZero();
139
8.75k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.51k
}
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
1.51k
  typedef typename MatrixType::Scalar Scalar;
70
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.51k
                        MatrixType::RowsAtCompileTime>
73
1.51k
      SquareMatrixType;
74
75
1.51k
  Eigen::Index rows = m.rows();
76
1.51k
  Eigen::Index cols = m.cols();
77
78
1.51k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.51k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.51k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.51k
             square = GenerateTestMatrix<
82
1.51k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.51k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.51k
                                                               stream);
85
1.51k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.51k
             vzero = VectorType::Zero(rows);
87
1.51k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.51k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.51k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.51k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.51k
               c = stream->ConsumeIntegralInRange(
94
1.51k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.51k
  m1.coeffRef(r, c) = x;
97
1.51k
  m1(r, c) = x;
98
1.51k
  v1.coeffRef(r) = x;
99
1.51k
  v1(r) = x;
100
1.51k
  v1[r] = x;
101
102
1.51k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.51k
      static_cast<Eigen::Index>(0),
104
1.51k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.51k
  x = v1(static_cast<char>(r1));
106
1.51k
  x = v1(static_cast<signed char>(r1));
107
1.51k
  x = v1(static_cast<unsigned char>(r1));
108
1.51k
  x = v1(static_cast<signed short>(r1));
109
1.51k
  x = v1(static_cast<unsigned short>(r1));
110
1.51k
  x = v1(static_cast<signed int>(r1));
111
1.51k
  x = v1(static_cast<unsigned int>(r1));
112
1.51k
  x = v1(static_cast<signed long>(r1));
113
1.51k
  x = v1(static_cast<unsigned long>(r1));
114
1.51k
  x = v1(static_cast<long long int>(r1));
115
1.51k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.51k
  square.col(r) = square.row(r).eval();
119
1.51k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.51k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.51k
  rv = square.row(r);
122
1.51k
  cv = square.col(r);
123
124
1.51k
  cv.transpose();
125
126
1.51k
  m3.real() = m1.real();
127
1.51k
  m1 = m2;
128
129
1.51k
  sm2.setZero();
130
10.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.51k
  sm2.setZero();
133
10.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.51k
  sm2.setZero();
136
10.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.51k
  sm2.setZero();
139
10.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.51k
}
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
1.51k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.51k
  typedef typename MatrixType::Scalar Scalar;
70
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.51k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.51k
                        MatrixType::RowsAtCompileTime>
73
1.51k
      SquareMatrixType;
74
75
1.51k
  Eigen::Index rows = m.rows();
76
1.51k
  Eigen::Index cols = m.cols();
77
78
1.51k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.51k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.51k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.51k
             square = GenerateTestMatrix<
82
1.51k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.51k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.51k
                                                               stream);
85
1.51k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.51k
             vzero = VectorType::Zero(rows);
87
1.51k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.51k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.51k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.51k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.51k
               c = stream->ConsumeIntegralInRange(
94
1.51k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.51k
  m1.coeffRef(r, c) = x;
97
1.51k
  m1(r, c) = x;
98
1.51k
  v1.coeffRef(r) = x;
99
1.51k
  v1(r) = x;
100
1.51k
  v1[r] = x;
101
102
1.51k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.51k
      static_cast<Eigen::Index>(0),
104
1.51k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.51k
  x = v1(static_cast<char>(r1));
106
1.51k
  x = v1(static_cast<signed char>(r1));
107
1.51k
  x = v1(static_cast<unsigned char>(r1));
108
1.51k
  x = v1(static_cast<signed short>(r1));
109
1.51k
  x = v1(static_cast<unsigned short>(r1));
110
1.51k
  x = v1(static_cast<signed int>(r1));
111
1.51k
  x = v1(static_cast<unsigned int>(r1));
112
1.51k
  x = v1(static_cast<signed long>(r1));
113
1.51k
  x = v1(static_cast<unsigned long>(r1));
114
1.51k
  x = v1(static_cast<long long int>(r1));
115
1.51k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.51k
  square.col(r) = square.row(r).eval();
119
1.51k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.51k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.51k
  rv = square.row(r);
122
1.51k
  cv = square.col(r);
123
124
1.51k
  cv.transpose();
125
126
1.51k
  m3.real() = m1.real();
127
1.51k
  m1 = m2;
128
129
1.51k
  sm2.setZero();
130
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.51k
  sm2.setZero();
133
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.51k
  sm2.setZero();
136
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.51k
  sm2.setZero();
139
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.51k
}
141
142
template <typename MatrixType>
143
3.02k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
3.02k
  typedef typename MatrixType::Scalar Scalar;
145
3.02k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
3.02k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
3.02k
                        MatrixType::ColsAtCompileTime>
148
3.02k
      RealMatrixType;
149
150
3.02k
  Eigen::Index rows = m.rows();
151
3.02k
  Eigen::Index cols = m.cols();
152
153
3.02k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
3.02k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
3.02k
  MatrixType cm(rows, cols);
156
3.02k
  cm.real() = rm1;
157
3.02k
  cm.imag() = rm2;
158
3.02k
  rm1.setZero();
159
3.02k
  rm2.setZero();
160
3.02k
  rm1 = cm.real();
161
3.02k
  rm2 = cm.imag();
162
3.02k
  cm.real().setZero();
163
3.02k
}
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
1.51k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.51k
  typedef typename MatrixType::Scalar Scalar;
145
1.51k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.51k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.51k
                        MatrixType::ColsAtCompileTime>
148
1.51k
      RealMatrixType;
149
150
1.51k
  Eigen::Index rows = m.rows();
151
1.51k
  Eigen::Index cols = m.cols();
152
153
1.51k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.51k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.51k
  MatrixType cm(rows, cols);
156
1.51k
  cm.real() = rm1;
157
1.51k
  cm.imag() = rm2;
158
1.51k
  rm1.setZero();
159
1.51k
  rm2.setZero();
160
1.51k
  rm1 = cm.real();
161
1.51k
  rm2 = cm.imag();
162
1.51k
  cm.real().setZero();
163
1.51k
}
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
1.51k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.51k
  typedef typename MatrixType::Scalar Scalar;
145
1.51k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.51k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.51k
                        MatrixType::ColsAtCompileTime>
148
1.51k
      RealMatrixType;
149
150
1.51k
  Eigen::Index rows = m.rows();
151
1.51k
  Eigen::Index cols = m.cols();
152
153
1.51k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.51k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.51k
  MatrixType cm(rows, cols);
156
1.51k
  cm.real() = rm1;
157
1.51k
  cm.imag() = rm2;
158
1.51k
  rm1.setZero();
159
1.51k
  rm2.setZero();
160
1.51k
  rm1 = cm.real();
161
1.51k
  rm2 = cm.imag();
162
1.51k
  cm.real().setZero();
163
1.51k
}
164
165
}  // namespace
166
167
1.51k
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
168
1.51k
  FuzzedDataProvider stream(data, size);
169
170
1.51k
  basicStuff(
171
1.51k
      Eigen::MatrixXcf(
172
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
173
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
174
1.51k
      &stream);
175
1.51k
  basicStuff(
176
1.51k
      Eigen::MatrixXi(
177
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
178
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
179
1.51k
      &stream);
180
1.51k
  basicStuff(
181
1.51k
      Eigen::MatrixXcd(
182
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
183
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
184
1.51k
      &stream);
185
1.51k
  basicStuff(
186
1.51k
      Eigen::Matrix<long double, Eigen::Dynamic, Eigen::Dynamic>(
187
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
188
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
189
1.51k
      &stream);
190
1.51k
  basicStuffComplex(
191
1.51k
      Eigen::MatrixXcf(
192
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
193
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
194
1.51k
      &stream);
195
1.51k
  basicStuffComplex(
196
1.51k
      Eigen::MatrixXcd(
197
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
198
1.51k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
199
1.51k
      &stream);
200
201
1.51k
  return 0;
202
1.51k
}