Coverage Report

Created: 2023-09-25 06:03

/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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689k
T ConsumeValue(FuzzedDataProvider* stream) {
26
689k
  return stream->ConsumeIntegral<T>();
27
689k
}
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29
template <>
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645k
float ConsumeValue(FuzzedDataProvider* stream) {
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645k
  return stream->ConsumeFloatingPoint<float>();
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645k
}
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template <>
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852k
double ConsumeValue(FuzzedDataProvider* stream) {
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852k
  return stream->ConsumeFloatingPoint<double>();
37
852k
}
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template <>
40
1.20M
long double ConsumeValue(FuzzedDataProvider* stream) {
41
1.20M
  return stream->ConsumeFloatingPoint<long double>();
42
1.20M
}
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template <>
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553k
std::complex<float> ConsumeValue(FuzzedDataProvider* stream) {
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553k
  return std::complex<float>(stream->ConsumeFloatingPoint<float>(),
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553k
                             stream->ConsumeFloatingPoint<float>());
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553k
}
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template <>
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798k
std::complex<double> ConsumeValue(FuzzedDataProvider* stream) {
52
798k
  return std::complex<float>(stream->ConsumeFloatingPoint<double>(),
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798k
                             stream->ConsumeFloatingPoint<double>());
54
798k
}
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template <typename MatrixType>
57
MatrixType GenerateTestMatrix(size_t rows, size_t cols,
58
28.7k
                              FuzzedDataProvider* stream) {
59
28.7k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
4.74M
  for (auto& value : test_data) {
61
4.74M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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4.74M
  }
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28.7k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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28.7k
  return MatrixType(mapped_map);
65
28.7k
}
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
4.30k
                              FuzzedDataProvider* stream) {
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4.30k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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545k
  for (auto& value : test_data) {
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545k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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545k
  }
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4.30k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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4.30k
  return MatrixType(mapped_map);
65
4.30k
}
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
1.43k
                              FuzzedDataProvider* stream) {
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1.43k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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6.56k
  for (auto& value : test_data) {
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6.56k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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6.56k
  }
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1.43k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.43k
}
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
4.30k
                              FuzzedDataProvider* stream) {
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4.30k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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680k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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4.30k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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4.30k
  return MatrixType(mapped_map);
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4.30k
}
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
1.43k
                              FuzzedDataProvider* stream) {
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1.43k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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7.17k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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7.17k
  }
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1.43k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.43k
}
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
4.30k
                              FuzzedDataProvider* stream) {
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4.30k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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788k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
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  }
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4.30k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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4.30k
}
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
1.43k
                              FuzzedDataProvider* stream) {
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1.43k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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8.16k
  for (auto& value : test_data) {
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8.16k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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8.16k
  }
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1.43k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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1.43k
}
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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4.30k
                              FuzzedDataProvider* stream) {
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4.30k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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1.19M
  for (auto& value : test_data) {
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1.19M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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1.19M
  }
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4.30k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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  return MatrixType(mapped_map);
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4.30k
}
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
1.43k
                              FuzzedDataProvider* stream) {
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1.43k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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10.8k
  for (auto& value : test_data) {
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10.8k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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10.8k
  }
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1.43k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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1.43k
  return MatrixType(mapped_map);
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1.43k
}
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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58
2.87k
                              FuzzedDataProvider* stream) {
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2.87k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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645k
  for (auto& value : test_data) {
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645k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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645k
  }
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2.87k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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2.87k
  return MatrixType(mapped_map);
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2.87k
}
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
2.87k
                              FuzzedDataProvider* stream) {
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2.87k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
852k
  for (auto& value : test_data) {
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852k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
852k
  }
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2.87k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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2.87k
  return MatrixType(mapped_map);
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2.87k
}
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template <typename MatrixType>
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5.74k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
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5.74k
  typedef typename MatrixType::Scalar Scalar;
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5.74k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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5.74k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
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5.74k
                        MatrixType::RowsAtCompileTime>
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5.74k
      SquareMatrixType;
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5.74k
  Eigen::Index rows = m.rows();
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5.74k
  Eigen::Index cols = m.cols();
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5.74k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
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5.74k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
5.74k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
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5.74k
             square = GenerateTestMatrix<
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5.74k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
5.74k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
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5.74k
                                                               stream);
85
5.74k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
5.74k
             vzero = VectorType::Zero(rows);
87
5.74k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
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89
5.74k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
5.74k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
5.74k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
5.74k
               c = stream->ConsumeIntegralInRange(
94
5.74k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
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5.74k
  m1.coeffRef(r, c) = x;
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5.74k
  m1(r, c) = x;
98
5.74k
  v1.coeffRef(r) = x;
99
5.74k
  v1(r) = x;
100
5.74k
  v1[r] = x;
101
102
5.74k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
5.74k
      static_cast<Eigen::Index>(0),
104
5.74k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
5.74k
  x = v1(static_cast<char>(r1));
106
5.74k
  x = v1(static_cast<signed char>(r1));
107
5.74k
  x = v1(static_cast<unsigned char>(r1));
108
5.74k
  x = v1(static_cast<signed short>(r1));
109
5.74k
  x = v1(static_cast<unsigned short>(r1));
110
5.74k
  x = v1(static_cast<signed int>(r1));
111
5.74k
  x = v1(static_cast<unsigned int>(r1));
112
5.74k
  x = v1(static_cast<signed long>(r1));
113
5.74k
  x = v1(static_cast<unsigned long>(r1));
114
5.74k
  x = v1(static_cast<long long int>(r1));
115
5.74k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
5.74k
  square.col(r) = square.row(r).eval();
119
5.74k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
5.74k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
5.74k
  rv = square.row(r);
122
5.74k
  cv = square.col(r);
123
124
5.74k
  cv.transpose();
125
126
5.74k
  m3.real() = m1.real();
127
5.74k
  m1 = m2;
128
129
5.74k
  sm2.setZero();
130
38.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
5.74k
  sm2.setZero();
133
38.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
5.74k
  sm2.setZero();
136
38.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
5.74k
  sm2.setZero();
139
38.4k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
5.74k
}
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
1.43k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.43k
  typedef typename MatrixType::Scalar Scalar;
70
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.43k
                        MatrixType::RowsAtCompileTime>
73
1.43k
      SquareMatrixType;
74
75
1.43k
  Eigen::Index rows = m.rows();
76
1.43k
  Eigen::Index cols = m.cols();
77
78
1.43k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.43k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.43k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.43k
             square = GenerateTestMatrix<
82
1.43k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.43k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.43k
                                                               stream);
85
1.43k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.43k
             vzero = VectorType::Zero(rows);
87
1.43k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.43k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.43k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.43k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.43k
               c = stream->ConsumeIntegralInRange(
94
1.43k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.43k
  m1.coeffRef(r, c) = x;
97
1.43k
  m1(r, c) = x;
98
1.43k
  v1.coeffRef(r) = x;
99
1.43k
  v1(r) = x;
100
1.43k
  v1[r] = x;
101
102
1.43k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.43k
      static_cast<Eigen::Index>(0),
104
1.43k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.43k
  x = v1(static_cast<char>(r1));
106
1.43k
  x = v1(static_cast<signed char>(r1));
107
1.43k
  x = v1(static_cast<unsigned char>(r1));
108
1.43k
  x = v1(static_cast<signed short>(r1));
109
1.43k
  x = v1(static_cast<unsigned short>(r1));
110
1.43k
  x = v1(static_cast<signed int>(r1));
111
1.43k
  x = v1(static_cast<unsigned int>(r1));
112
1.43k
  x = v1(static_cast<signed long>(r1));
113
1.43k
  x = v1(static_cast<unsigned long>(r1));
114
1.43k
  x = v1(static_cast<long long int>(r1));
115
1.43k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.43k
  square.col(r) = square.row(r).eval();
119
1.43k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.43k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.43k
  rv = square.row(r);
122
1.43k
  cv = square.col(r);
123
124
1.43k
  cv.transpose();
125
126
1.43k
  m3.real() = m1.real();
127
1.43k
  m1 = m2;
128
129
1.43k
  sm2.setZero();
130
8.00k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.43k
  sm2.setZero();
133
8.00k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.43k
  sm2.setZero();
136
8.00k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.43k
  sm2.setZero();
139
8.00k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.43k
}
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
1.43k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.43k
  typedef typename MatrixType::Scalar Scalar;
70
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.43k
                        MatrixType::RowsAtCompileTime>
73
1.43k
      SquareMatrixType;
74
75
1.43k
  Eigen::Index rows = m.rows();
76
1.43k
  Eigen::Index cols = m.cols();
77
78
1.43k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.43k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.43k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.43k
             square = GenerateTestMatrix<
82
1.43k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.43k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.43k
                                                               stream);
85
1.43k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.43k
             vzero = VectorType::Zero(rows);
87
1.43k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.43k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.43k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.43k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.43k
               c = stream->ConsumeIntegralInRange(
94
1.43k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.43k
  m1.coeffRef(r, c) = x;
97
1.43k
  m1(r, c) = x;
98
1.43k
  v1.coeffRef(r) = x;
99
1.43k
  v1(r) = x;
100
1.43k
  v1[r] = x;
101
102
1.43k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.43k
      static_cast<Eigen::Index>(0),
104
1.43k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.43k
  x = v1(static_cast<char>(r1));
106
1.43k
  x = v1(static_cast<signed char>(r1));
107
1.43k
  x = v1(static_cast<unsigned char>(r1));
108
1.43k
  x = v1(static_cast<signed short>(r1));
109
1.43k
  x = v1(static_cast<unsigned short>(r1));
110
1.43k
  x = v1(static_cast<signed int>(r1));
111
1.43k
  x = v1(static_cast<unsigned int>(r1));
112
1.43k
  x = v1(static_cast<signed long>(r1));
113
1.43k
  x = v1(static_cast<unsigned long>(r1));
114
1.43k
  x = v1(static_cast<long long int>(r1));
115
1.43k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.43k
  square.col(r) = square.row(r).eval();
119
1.43k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.43k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.43k
  rv = square.row(r);
122
1.43k
  cv = square.col(r);
123
124
1.43k
  cv.transpose();
125
126
1.43k
  m3.real() = m1.real();
127
1.43k
  m1 = m2;
128
129
1.43k
  sm2.setZero();
130
8.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.43k
  sm2.setZero();
133
8.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.43k
  sm2.setZero();
136
8.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.43k
  sm2.setZero();
139
8.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.43k
}
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
1.43k
  typedef typename MatrixType::Scalar Scalar;
70
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.43k
                        MatrixType::RowsAtCompileTime>
73
1.43k
      SquareMatrixType;
74
75
1.43k
  Eigen::Index rows = m.rows();
76
1.43k
  Eigen::Index cols = m.cols();
77
78
1.43k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.43k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.43k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.43k
             square = GenerateTestMatrix<
82
1.43k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.43k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.43k
                                                               stream);
85
1.43k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.43k
             vzero = VectorType::Zero(rows);
87
1.43k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.43k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.43k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.43k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.43k
               c = stream->ConsumeIntegralInRange(
94
1.43k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.43k
  m1.coeffRef(r, c) = x;
97
1.43k
  m1(r, c) = x;
98
1.43k
  v1.coeffRef(r) = x;
99
1.43k
  v1(r) = x;
100
1.43k
  v1[r] = x;
101
102
1.43k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.43k
      static_cast<Eigen::Index>(0),
104
1.43k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.43k
  x = v1(static_cast<char>(r1));
106
1.43k
  x = v1(static_cast<signed char>(r1));
107
1.43k
  x = v1(static_cast<unsigned char>(r1));
108
1.43k
  x = v1(static_cast<signed short>(r1));
109
1.43k
  x = v1(static_cast<unsigned short>(r1));
110
1.43k
  x = v1(static_cast<signed int>(r1));
111
1.43k
  x = v1(static_cast<unsigned int>(r1));
112
1.43k
  x = v1(static_cast<signed long>(r1));
113
1.43k
  x = v1(static_cast<unsigned long>(r1));
114
1.43k
  x = v1(static_cast<long long int>(r1));
115
1.43k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.43k
  square.col(r) = square.row(r).eval();
119
1.43k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.43k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.43k
  rv = square.row(r);
122
1.43k
  cv = square.col(r);
123
124
1.43k
  cv.transpose();
125
126
1.43k
  m3.real() = m1.real();
127
1.43k
  m1 = m2;
128
129
1.43k
  sm2.setZero();
130
9.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.43k
  sm2.setZero();
133
9.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.43k
  sm2.setZero();
136
9.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.43k
  sm2.setZero();
139
9.60k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.43k
}
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
Count
Source
68
1.43k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.43k
  typedef typename MatrixType::Scalar Scalar;
70
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.43k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.43k
                        MatrixType::RowsAtCompileTime>
73
1.43k
      SquareMatrixType;
74
75
1.43k
  Eigen::Index rows = m.rows();
76
1.43k
  Eigen::Index cols = m.cols();
77
78
1.43k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.43k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.43k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.43k
             square = GenerateTestMatrix<
82
1.43k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.43k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.43k
                                                               stream);
85
1.43k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.43k
             vzero = VectorType::Zero(rows);
87
1.43k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.43k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.43k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.43k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.43k
               c = stream->ConsumeIntegralInRange(
94
1.43k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.43k
  m1.coeffRef(r, c) = x;
97
1.43k
  m1(r, c) = x;
98
1.43k
  v1.coeffRef(r) = x;
99
1.43k
  v1(r) = x;
100
1.43k
  v1[r] = x;
101
102
1.43k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.43k
      static_cast<Eigen::Index>(0),
104
1.43k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.43k
  x = v1(static_cast<char>(r1));
106
1.43k
  x = v1(static_cast<signed char>(r1));
107
1.43k
  x = v1(static_cast<unsigned char>(r1));
108
1.43k
  x = v1(static_cast<signed short>(r1));
109
1.43k
  x = v1(static_cast<unsigned short>(r1));
110
1.43k
  x = v1(static_cast<signed int>(r1));
111
1.43k
  x = v1(static_cast<unsigned int>(r1));
112
1.43k
  x = v1(static_cast<signed long>(r1));
113
1.43k
  x = v1(static_cast<unsigned long>(r1));
114
1.43k
  x = v1(static_cast<long long int>(r1));
115
1.43k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.43k
  square.col(r) = square.row(r).eval();
119
1.43k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.43k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.43k
  rv = square.row(r);
122
1.43k
  cv = square.col(r);
123
124
1.43k
  cv.transpose();
125
126
1.43k
  m3.real() = m1.real();
127
1.43k
  m1 = m2;
128
129
1.43k
  sm2.setZero();
130
12.2k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.43k
  sm2.setZero();
133
12.2k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.43k
  sm2.setZero();
136
12.2k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.43k
  sm2.setZero();
139
12.2k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.43k
}
141
142
template <typename MatrixType>
143
2.87k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
2.87k
  typedef typename MatrixType::Scalar Scalar;
145
2.87k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
2.87k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
2.87k
                        MatrixType::ColsAtCompileTime>
148
2.87k
      RealMatrixType;
149
150
2.87k
  Eigen::Index rows = m.rows();
151
2.87k
  Eigen::Index cols = m.cols();
152
153
2.87k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
2.87k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
2.87k
  MatrixType cm(rows, cols);
156
2.87k
  cm.real() = rm1;
157
2.87k
  cm.imag() = rm2;
158
2.87k
  rm1.setZero();
159
2.87k
  rm2.setZero();
160
2.87k
  rm1 = cm.real();
161
2.87k
  rm2 = cm.imag();
162
2.87k
  cm.real().setZero();
163
2.87k
}
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
1.43k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.43k
  typedef typename MatrixType::Scalar Scalar;
145
1.43k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.43k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.43k
                        MatrixType::ColsAtCompileTime>
148
1.43k
      RealMatrixType;
149
150
1.43k
  Eigen::Index rows = m.rows();
151
1.43k
  Eigen::Index cols = m.cols();
152
153
1.43k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.43k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.43k
  MatrixType cm(rows, cols);
156
1.43k
  cm.real() = rm1;
157
1.43k
  cm.imag() = rm2;
158
1.43k
  rm1.setZero();
159
1.43k
  rm2.setZero();
160
1.43k
  rm1 = cm.real();
161
1.43k
  rm2 = cm.imag();
162
1.43k
  cm.real().setZero();
163
1.43k
}
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
1.43k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.43k
  typedef typename MatrixType::Scalar Scalar;
145
1.43k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.43k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.43k
                        MatrixType::ColsAtCompileTime>
148
1.43k
      RealMatrixType;
149
150
1.43k
  Eigen::Index rows = m.rows();
151
1.43k
  Eigen::Index cols = m.cols();
152
153
1.43k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.43k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.43k
  MatrixType cm(rows, cols);
156
1.43k
  cm.real() = rm1;
157
1.43k
  cm.imag() = rm2;
158
1.43k
  rm1.setZero();
159
1.43k
  rm2.setZero();
160
1.43k
  rm1 = cm.real();
161
1.43k
  rm2 = cm.imag();
162
1.43k
  cm.real().setZero();
163
1.43k
}
164
165
}  // namespace
166
167
1.43k
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
168
1.43k
  FuzzedDataProvider stream(data, size);
169
170
1.43k
  basicStuff(
171
1.43k
      Eigen::MatrixXcf(
172
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
173
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
174
1.43k
      &stream);
175
1.43k
  basicStuff(
176
1.43k
      Eigen::MatrixXi(
177
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
178
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
179
1.43k
      &stream);
180
1.43k
  basicStuff(
181
1.43k
      Eigen::MatrixXcd(
182
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
183
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
184
1.43k
      &stream);
185
1.43k
  basicStuff(
186
1.43k
      Eigen::Matrix<long double, Eigen::Dynamic, Eigen::Dynamic>(
187
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
188
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
189
1.43k
      &stream);
190
1.43k
  basicStuffComplex(
191
1.43k
      Eigen::MatrixXcf(
192
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
193
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
194
1.43k
      &stream);
195
1.43k
  basicStuffComplex(
196
1.43k
      Eigen::MatrixXcd(
197
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
198
1.43k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
199
1.43k
      &stream);
200
201
1.43k
  return 0;
202
1.43k
}