Coverage Report

Created: 2025-11-28 06:58

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/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>
25
774k
T ConsumeValue(FuzzedDataProvider* stream) {
26
774k
  return stream->ConsumeIntegral<T>();
27
774k
}
28
29
template <>
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777k
float ConsumeValue(FuzzedDataProvider* stream) {
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777k
  return stream->ConsumeFloatingPoint<float>();
32
777k
}
33
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template <>
35
679k
double ConsumeValue(FuzzedDataProvider* stream) {
36
679k
  return stream->ConsumeFloatingPoint<double>();
37
679k
}
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39
template <>
40
1.13M
long double ConsumeValue(FuzzedDataProvider* stream) {
41
1.13M
  return stream->ConsumeFloatingPoint<long double>();
42
1.13M
}
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44
template <>
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522k
std::complex<float> ConsumeValue(FuzzedDataProvider* stream) {
46
522k
  return std::complex<float>(stream->ConsumeFloatingPoint<float>(),
47
522k
                             stream->ConsumeFloatingPoint<float>());
48
522k
}
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template <>
51
903k
std::complex<double> ConsumeValue(FuzzedDataProvider* stream) {
52
903k
  return std::complex<float>(stream->ConsumeFloatingPoint<double>(),
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903k
                             stream->ConsumeFloatingPoint<double>());
54
903k
}
55
56
template <typename MatrixType>
57
MatrixType GenerateTestMatrix(size_t rows, size_t cols,
58
28.9k
                              FuzzedDataProvider* stream) {
59
28.9k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
4.78M
  for (auto& value : test_data) {
61
4.78M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
4.78M
  }
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28.9k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
64
28.9k
  return MatrixType(mapped_map);
65
28.9k
}
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
4.34k
                              FuzzedDataProvider* stream) {
59
4.34k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
515k
  for (auto& value : test_data) {
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515k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
515k
  }
63
4.34k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
64
4.34k
  return MatrixType(mapped_map);
65
4.34k
}
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
1.44k
                              FuzzedDataProvider* stream) {
59
1.44k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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6.25k
  for (auto& value : test_data) {
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6.25k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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6.25k
  }
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1.44k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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1.44k
  return MatrixType(mapped_map);
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1.44k
}
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
4.34k
                              FuzzedDataProvider* stream) {
59
4.34k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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765k
  for (auto& value : test_data) {
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765k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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765k
  }
63
4.34k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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4.34k
  return MatrixType(mapped_map);
65
4.34k
}
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*)
Line
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Source
58
1.44k
                              FuzzedDataProvider* stream) {
59
1.44k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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8.11k
  for (auto& value : test_data) {
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8.11k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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8.11k
  }
63
1.44k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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1.44k
  return MatrixType(mapped_map);
65
1.44k
}
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
4.34k
                              FuzzedDataProvider* stream) {
59
4.34k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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892k
  for (auto& value : test_data) {
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    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
892k
  }
63
4.34k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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4.34k
  return MatrixType(mapped_map);
65
4.34k
}
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
1.44k
                              FuzzedDataProvider* stream) {
59
1.44k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
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9.32k
  for (auto& value : test_data) {
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9.32k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
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9.32k
  }
63
1.44k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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1.44k
  return MatrixType(mapped_map);
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1.44k
}
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
4.34k
                              FuzzedDataProvider* stream) {
59
4.34k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
1.12M
  for (auto& value : test_data) {
61
1.12M
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
1.12M
  }
63
4.34k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
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4.34k
  return MatrixType(mapped_map);
65
4.34k
}
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
1.44k
                              FuzzedDataProvider* stream) {
59
1.44k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
10.6k
  for (auto& value : test_data) {
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10.6k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
10.6k
  }
63
1.44k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
64
1.44k
  return MatrixType(mapped_map);
65
1.44k
}
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
2.89k
                              FuzzedDataProvider* stream) {
59
2.89k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
777k
  for (auto& value : test_data) {
61
777k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
777k
  }
63
2.89k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
64
2.89k
  return MatrixType(mapped_map);
65
2.89k
}
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
2.89k
                              FuzzedDataProvider* stream) {
59
2.89k
  std::vector<typename MatrixType::value_type> test_data(rows * cols);
60
679k
  for (auto& value : test_data) {
61
679k
    value = ConsumeValue<typename MatrixType::value_type>(stream);
62
679k
  }
63
2.89k
  Eigen::Map<MatrixType> mapped_map(test_data.data(), rows, cols);
64
2.89k
  return MatrixType(mapped_map);
65
2.89k
}
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67
template <typename MatrixType>
68
5.79k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
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5.79k
  typedef typename MatrixType::Scalar Scalar;
70
5.79k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
5.79k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
5.79k
                        MatrixType::RowsAtCompileTime>
73
5.79k
      SquareMatrixType;
74
75
5.79k
  Eigen::Index rows = m.rows();
76
5.79k
  Eigen::Index cols = m.cols();
77
78
5.79k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
5.79k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
5.79k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
5.79k
             square = GenerateTestMatrix<
82
5.79k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
5.79k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
5.79k
                                                               stream);
85
5.79k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
5.79k
             vzero = VectorType::Zero(rows);
87
5.79k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
5.79k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
5.79k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
5.79k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
5.79k
               c = stream->ConsumeIntegralInRange(
94
5.79k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
5.79k
  m1.coeffRef(r, c) = x;
97
5.79k
  m1(r, c) = x;
98
5.79k
  v1.coeffRef(r) = x;
99
5.79k
  v1(r) = x;
100
5.79k
  v1[r] = x;
101
102
5.79k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
5.79k
      static_cast<Eigen::Index>(0),
104
5.79k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
5.79k
  x = v1(static_cast<char>(r1));
106
5.79k
  x = v1(static_cast<signed char>(r1));
107
5.79k
  x = v1(static_cast<unsigned char>(r1));
108
5.79k
  x = v1(static_cast<signed short>(r1));
109
5.79k
  x = v1(static_cast<unsigned short>(r1));
110
5.79k
  x = v1(static_cast<signed int>(r1));
111
5.79k
  x = v1(static_cast<unsigned int>(r1));
112
5.79k
  x = v1(static_cast<signed long>(r1));
113
5.79k
  x = v1(static_cast<unsigned long>(r1));
114
5.79k
  x = v1(static_cast<long long int>(r1));
115
5.79k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
5.79k
  square.col(r) = square.row(r).eval();
119
5.79k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
5.79k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
5.79k
  rv = square.row(r);
122
5.79k
  cv = square.col(r);
123
124
5.79k
  cv.transpose();
125
126
5.79k
  m3.real() = m1.real();
127
5.79k
  m1 = m2;
128
129
5.79k
  sm2.setZero();
130
40.1k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
5.79k
  sm2.setZero();
133
40.1k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
5.79k
  sm2.setZero();
136
40.1k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
5.79k
  sm2.setZero();
139
40.1k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
5.79k
}
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*)
Line
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Source
68
1.44k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.44k
  typedef typename MatrixType::Scalar Scalar;
70
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.44k
                        MatrixType::RowsAtCompileTime>
73
1.44k
      SquareMatrixType;
74
75
1.44k
  Eigen::Index rows = m.rows();
76
1.44k
  Eigen::Index cols = m.cols();
77
78
1.44k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.44k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.44k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.44k
             square = GenerateTestMatrix<
82
1.44k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.44k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.44k
                                                               stream);
85
1.44k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.44k
             vzero = VectorType::Zero(rows);
87
1.44k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.44k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.44k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.44k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.44k
               c = stream->ConsumeIntegralInRange(
94
1.44k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.44k
  m1.coeffRef(r, c) = x;
97
1.44k
  m1(r, c) = x;
98
1.44k
  v1.coeffRef(r) = x;
99
1.44k
  v1(r) = x;
100
1.44k
  v1[r] = x;
101
102
1.44k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.44k
      static_cast<Eigen::Index>(0),
104
1.44k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.44k
  x = v1(static_cast<char>(r1));
106
1.44k
  x = v1(static_cast<signed char>(r1));
107
1.44k
  x = v1(static_cast<unsigned char>(r1));
108
1.44k
  x = v1(static_cast<signed short>(r1));
109
1.44k
  x = v1(static_cast<unsigned short>(r1));
110
1.44k
  x = v1(static_cast<signed int>(r1));
111
1.44k
  x = v1(static_cast<unsigned int>(r1));
112
1.44k
  x = v1(static_cast<signed long>(r1));
113
1.44k
  x = v1(static_cast<unsigned long>(r1));
114
1.44k
  x = v1(static_cast<long long int>(r1));
115
1.44k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.44k
  square.col(r) = square.row(r).eval();
119
1.44k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.44k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.44k
  rv = square.row(r);
122
1.44k
  cv = square.col(r);
123
124
1.44k
  cv.transpose();
125
126
1.44k
  m3.real() = m1.real();
127
1.44k
  m1 = m2;
128
129
1.44k
  sm2.setZero();
130
7.70k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.44k
  sm2.setZero();
133
7.70k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.44k
  sm2.setZero();
136
7.70k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.44k
  sm2.setZero();
139
7.70k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.44k
}
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*)
Line
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Source
68
1.44k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.44k
  typedef typename MatrixType::Scalar Scalar;
70
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.44k
                        MatrixType::RowsAtCompileTime>
73
1.44k
      SquareMatrixType;
74
75
1.44k
  Eigen::Index rows = m.rows();
76
1.44k
  Eigen::Index cols = m.cols();
77
78
1.44k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.44k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.44k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.44k
             square = GenerateTestMatrix<
82
1.44k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.44k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.44k
                                                               stream);
85
1.44k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.44k
             vzero = VectorType::Zero(rows);
87
1.44k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.44k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.44k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.44k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.44k
               c = stream->ConsumeIntegralInRange(
94
1.44k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.44k
  m1.coeffRef(r, c) = x;
97
1.44k
  m1(r, c) = x;
98
1.44k
  v1.coeffRef(r) = x;
99
1.44k
  v1(r) = x;
100
1.44k
  v1[r] = x;
101
102
1.44k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.44k
      static_cast<Eigen::Index>(0),
104
1.44k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.44k
  x = v1(static_cast<char>(r1));
106
1.44k
  x = v1(static_cast<signed char>(r1));
107
1.44k
  x = v1(static_cast<unsigned char>(r1));
108
1.44k
  x = v1(static_cast<signed short>(r1));
109
1.44k
  x = v1(static_cast<unsigned short>(r1));
110
1.44k
  x = v1(static_cast<signed int>(r1));
111
1.44k
  x = v1(static_cast<unsigned int>(r1));
112
1.44k
  x = v1(static_cast<signed long>(r1));
113
1.44k
  x = v1(static_cast<unsigned long>(r1));
114
1.44k
  x = v1(static_cast<long long int>(r1));
115
1.44k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.44k
  square.col(r) = square.row(r).eval();
119
1.44k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.44k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.44k
  rv = square.row(r);
122
1.44k
  cv = square.col(r);
123
124
1.44k
  cv.transpose();
125
126
1.44k
  m3.real() = m1.real();
127
1.44k
  m1 = m2;
128
129
1.44k
  sm2.setZero();
130
9.55k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.44k
  sm2.setZero();
133
9.55k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.44k
  sm2.setZero();
136
9.55k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.44k
  sm2.setZero();
139
9.55k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.44k
}
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
1.44k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.44k
  typedef typename MatrixType::Scalar Scalar;
70
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.44k
                        MatrixType::RowsAtCompileTime>
73
1.44k
      SquareMatrixType;
74
75
1.44k
  Eigen::Index rows = m.rows();
76
1.44k
  Eigen::Index cols = m.cols();
77
78
1.44k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.44k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.44k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.44k
             square = GenerateTestMatrix<
82
1.44k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.44k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.44k
                                                               stream);
85
1.44k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.44k
             vzero = VectorType::Zero(rows);
87
1.44k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.44k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.44k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.44k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.44k
               c = stream->ConsumeIntegralInRange(
94
1.44k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.44k
  m1.coeffRef(r, c) = x;
97
1.44k
  m1(r, c) = x;
98
1.44k
  v1.coeffRef(r) = x;
99
1.44k
  v1(r) = x;
100
1.44k
  v1[r] = x;
101
102
1.44k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.44k
      static_cast<Eigen::Index>(0),
104
1.44k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.44k
  x = v1(static_cast<char>(r1));
106
1.44k
  x = v1(static_cast<signed char>(r1));
107
1.44k
  x = v1(static_cast<unsigned char>(r1));
108
1.44k
  x = v1(static_cast<signed short>(r1));
109
1.44k
  x = v1(static_cast<unsigned short>(r1));
110
1.44k
  x = v1(static_cast<signed int>(r1));
111
1.44k
  x = v1(static_cast<unsigned int>(r1));
112
1.44k
  x = v1(static_cast<signed long>(r1));
113
1.44k
  x = v1(static_cast<unsigned long>(r1));
114
1.44k
  x = v1(static_cast<long long int>(r1));
115
1.44k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.44k
  square.col(r) = square.row(r).eval();
119
1.44k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.44k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.44k
  rv = square.row(r);
122
1.44k
  cv = square.col(r);
123
124
1.44k
  cv.transpose();
125
126
1.44k
  m3.real() = m1.real();
127
1.44k
  m1 = m2;
128
129
1.44k
  sm2.setZero();
130
10.7k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.44k
  sm2.setZero();
133
10.7k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.44k
  sm2.setZero();
136
10.7k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.44k
  sm2.setZero();
139
10.7k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.44k
}
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
1.44k
void basicStuff(const MatrixType& m, FuzzedDataProvider* stream) {
69
1.44k
  typedef typename MatrixType::Scalar Scalar;
70
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
71
1.44k
  typedef Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
72
1.44k
                        MatrixType::RowsAtCompileTime>
73
1.44k
      SquareMatrixType;
74
75
1.44k
  Eigen::Index rows = m.rows();
76
1.44k
  Eigen::Index cols = m.cols();
77
78
1.44k
  MatrixType m1 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
79
1.44k
             m2 = GenerateTestMatrix<MatrixType>(rows, cols, stream),
80
1.44k
             m3(rows, cols), mzero = MatrixType::Zero(rows, cols),
81
1.44k
             square = GenerateTestMatrix<
82
1.44k
                 Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime,
83
1.44k
                               MatrixType::RowsAtCompileTime>>(rows, rows,
84
1.44k
                                                               stream);
85
1.44k
  VectorType v1 = GenerateTestMatrix<VectorType>(rows, 1, stream),
86
1.44k
             vzero = VectorType::Zero(rows);
87
1.44k
  SquareMatrixType sm1 = SquareMatrixType::Random(rows, rows), sm2(rows, rows);
88
89
1.44k
  Scalar x = ConsumeValue<typename MatrixType::Scalar>(stream);
90
91
1.44k
  Eigen::Index r = stream->ConsumeIntegralInRange(
92
1.44k
                   std::min(kEigenIndexOne, rows - 1), rows - 1),
93
1.44k
               c = stream->ConsumeIntegralInRange(
94
1.44k
                   std::min(kEigenIndexOne, cols - 1), cols - 1);
95
96
1.44k
  m1.coeffRef(r, c) = x;
97
1.44k
  m1(r, c) = x;
98
1.44k
  v1.coeffRef(r) = x;
99
1.44k
  v1(r) = x;
100
1.44k
  v1[r] = x;
101
102
1.44k
  Eigen::Index r1 = stream->ConsumeIntegralInRange(
103
1.44k
      static_cast<Eigen::Index>(0),
104
1.44k
      std::min(static_cast<Eigen::Index>(127), rows - 1));
105
1.44k
  x = v1(static_cast<char>(r1));
106
1.44k
  x = v1(static_cast<signed char>(r1));
107
1.44k
  x = v1(static_cast<unsigned char>(r1));
108
1.44k
  x = v1(static_cast<signed short>(r1));
109
1.44k
  x = v1(static_cast<unsigned short>(r1));
110
1.44k
  x = v1(static_cast<signed int>(r1));
111
1.44k
  x = v1(static_cast<unsigned int>(r1));
112
1.44k
  x = v1(static_cast<signed long>(r1));
113
1.44k
  x = v1(static_cast<unsigned long>(r1));
114
1.44k
  x = v1(static_cast<long long int>(r1));
115
1.44k
  x = v1(static_cast<unsigned long long int>(r1));
116
117
  // now test copying a row-vector into a (column-)vector and conversely.
118
1.44k
  square.col(r) = square.row(r).eval();
119
1.44k
  Eigen::Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
120
1.44k
  Eigen::Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
121
1.44k
  rv = square.row(r);
122
1.44k
  cv = square.col(r);
123
124
1.44k
  cv.transpose();
125
126
1.44k
  m3.real() = m1.real();
127
1.44k
  m1 = m2;
128
129
1.44k
  sm2.setZero();
130
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i) = sm1.row(i);
131
132
1.44k
  sm2.setZero();
133
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() = sm1.row(i);
134
135
1.44k
  sm2.setZero();
136
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() += sm1.row(i);
137
138
1.44k
  sm2.setZero();
139
12.0k
  for (Eigen::Index i = 0; i < rows; ++i) sm2.col(i).noalias() -= sm1.row(i);
140
1.44k
}
141
142
template <typename MatrixType>
143
2.89k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
2.89k
  typedef typename MatrixType::Scalar Scalar;
145
2.89k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
2.89k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
2.89k
                        MatrixType::ColsAtCompileTime>
148
2.89k
      RealMatrixType;
149
150
2.89k
  Eigen::Index rows = m.rows();
151
2.89k
  Eigen::Index cols = m.cols();
152
153
2.89k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
2.89k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
2.89k
  MatrixType cm(rows, cols);
156
2.89k
  cm.real() = rm1;
157
2.89k
  cm.imag() = rm2;
158
2.89k
  rm1.setZero();
159
2.89k
  rm2.setZero();
160
2.89k
  rm1 = cm.real();
161
2.89k
  rm2 = cm.imag();
162
2.89k
  cm.real().setZero();
163
2.89k
}
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
1.44k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.44k
  typedef typename MatrixType::Scalar Scalar;
145
1.44k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.44k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.44k
                        MatrixType::ColsAtCompileTime>
148
1.44k
      RealMatrixType;
149
150
1.44k
  Eigen::Index rows = m.rows();
151
1.44k
  Eigen::Index cols = m.cols();
152
153
1.44k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.44k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.44k
  MatrixType cm(rows, cols);
156
1.44k
  cm.real() = rm1;
157
1.44k
  cm.imag() = rm2;
158
1.44k
  rm1.setZero();
159
1.44k
  rm2.setZero();
160
1.44k
  rm1 = cm.real();
161
1.44k
  rm2 = cm.imag();
162
1.44k
  cm.real().setZero();
163
1.44k
}
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
1.44k
void basicStuffComplex(const MatrixType& m, FuzzedDataProvider* stream) {
144
1.44k
  typedef typename MatrixType::Scalar Scalar;
145
1.44k
  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
146
1.44k
  typedef Eigen::Matrix<RealScalar, MatrixType::RowsAtCompileTime,
147
1.44k
                        MatrixType::ColsAtCompileTime>
148
1.44k
      RealMatrixType;
149
150
1.44k
  Eigen::Index rows = m.rows();
151
1.44k
  Eigen::Index cols = m.cols();
152
153
1.44k
  RealMatrixType rm1 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream),
154
1.44k
                 rm2 = GenerateTestMatrix<RealMatrixType>(rows, cols, stream);
155
1.44k
  MatrixType cm(rows, cols);
156
1.44k
  cm.real() = rm1;
157
1.44k
  cm.imag() = rm2;
158
1.44k
  rm1.setZero();
159
1.44k
  rm2.setZero();
160
1.44k
  rm1 = cm.real();
161
1.44k
  rm2 = cm.imag();
162
1.44k
  cm.real().setZero();
163
1.44k
}
164
165
}  // namespace
166
167
1.44k
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
168
1.44k
  FuzzedDataProvider stream(data, size);
169
170
1.44k
  basicStuff(
171
1.44k
      Eigen::MatrixXcf(
172
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
173
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
174
1.44k
      &stream);
175
1.44k
  basicStuff(
176
1.44k
      Eigen::MatrixXi(
177
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
178
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
179
1.44k
      &stream);
180
1.44k
  basicStuff(
181
1.44k
      Eigen::MatrixXcd(
182
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
183
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
184
1.44k
      &stream);
185
1.44k
  basicStuff(
186
1.44k
      Eigen::Matrix<long double, Eigen::Dynamic, Eigen::Dynamic>(
187
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
188
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
189
1.44k
      &stream);
190
1.44k
  basicStuffComplex(
191
1.44k
      Eigen::MatrixXcf(
192
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
193
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
194
1.44k
      &stream);
195
1.44k
  basicStuffComplex(
196
1.44k
      Eigen::MatrixXcd(
197
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize),
198
1.44k
          stream.ConsumeIntegralInRange(kEigenIndexOne, kEigenTestMaxSize)),
199
1.44k
      &stream);
200
201
1.44k
  return 0;
202
1.44k
}