/external/autotest/tko/migrations/ |
H A D | 029_ensure_invalidated_label_exists.py | 6 rows = manager.execute( 8 if not rows:
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/external/eigen/doc/snippets/ |
H A D | Tutorial_commainit_02.cpp | 1 int rows=5, cols=5; variable 2 MatrixXf m(rows,cols); 5 MatrixXf::Zero(rows-3,3), 6 MatrixXf::Identity(rows-3,cols-3);
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H A D | Matrix_resize_int.cpp | 5 cout << "v: " << v.rows() << " rows, " << v.cols() << " cols" << endl; 6 cout << "w: " << w.rows() << " rows, " << w.cols() << " cols" << endl;
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H A D | Matrix_resize_NoChange_int.cpp | 3 cout << "m: " << m.rows() << " rows, " << m.cols() << " cols" << endl;
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H A D | Matrix_resize_int_NoChange.cpp | 3 cout << "m: " << m.rows() << " rows, " << m.cols() << " cols" << endl;
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H A D | tut_matrix_assignment_resizing.cpp | 2 std::cout << "a is of size " << a.rows() << "x" << a.cols() << std::endl; 5 std::cout << "a is now of size " << a.rows() << "x" << a.cols() << std::endl;
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/external/snakeyaml/src/test/java/org/yaml/snakeyaml/extensions/compactnotation/ |
H A D | Table.java | 23 private List<Row> rows; field in class:Table 32 return rows; 35 public void setRows(List<Row> rows) { argument 36 this.rows = rows;
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H A D | ManyListsTable.java | 22 private List<Row> rows; field in class:ManyListsTable 30 return rows; 33 public void setRows(List<Row> rows) { argument 34 this.rows = rows;
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/external/eigen/test/ |
H A D | resize.cpp | 12 template<DenseIndex rows, DenseIndex cols> 15 MatrixXf A(rows, cols); 17 Matrix<double, rows, cols> C; 20 VERIFY(B.rows() == rows && B.cols() == cols); 22 VectorXf x(rows); 25 VERIFY(y.rows() == 1 && y.cols() == rows); 29 VERIFY(x.rows() == cols && x.cols() == 1);
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H A D | miscmatrices.cpp | 20 Index rows = m.rows(); local 23 Index r = internal::random<Index>(0, rows-1), r2 = internal::random<Index>(0, rows-1), c = internal::random<Index>(0, cols-1); 24 VERIFY_IS_APPROX(MatrixType::Ones(rows,cols)(r,c), static_cast<Scalar>(1)); 25 MatrixType m1 = MatrixType::Ones(rows,cols); 27 VectorType v1 = VectorType::Random(rows); 33 square = MatrixType::Zero(rows, rows); 34 square.diagonal() = VectorType::Ones(rows); [all...] |
H A D | array_replicate.cpp | 23 Index rows = m.rows(); local 26 MatrixType m1 = MatrixType::Random(rows, cols), 27 m2 = MatrixType::Random(rows, cols); 29 VectorType v1 = VectorType::Random(rows); 37 x1.resize(rows*f1,cols*f2); 40 x1.block(i*rows,j*cols,rows,cols) = m1; 43 x2.resize(2*rows,3*cols); 48 x2.resize(rows,f [all...] |
H A D | spqr_support.cpp | 17 int rows = internal::random<int>(1,maxRows); local 18 int cols = internal::random<int>(1,rows); 19 double density = (std::max)(8./(rows*cols), 0.01); 21 A.resize(rows,rows); 22 dA.resize(rows,rows); 25 return rows; 38 int m = A.rows();
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/external/eigen/failtest/ |
H A D | map_nonconst_ctor_on_const_ptr_2.cpp | 11 void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){ argument 12 Map<MatrixXf> m(ptr, rows, cols);
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H A D | map_nonconst_ctor_on_const_ptr_3.cpp | 11 void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){ argument 12 Map<MatrixXf, Aligned, InnerStride<2> > m(ptr, rows, cols, InnerStride<2>());
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H A D | map_nonconst_ctor_on_const_ptr_4.cpp | 11 void foo(const float *ptr, DenseIndex rows, DenseIndex cols){ argument 12 Map<CV_QUALIFIER MatrixXf, Unaligned, OuterStride<> > m(ptr, rows, cols, OuterStride<>(2));
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/external/eigen/test/eigen2/ |
H A D | eigen2_miscmatrices.cpp | 21 int rows = m.rows(); local 24 int r = ei_random<int>(0, rows-1), r2 = ei_random<int>(0, rows-1), c = ei_random<int>(0, cols-1); 25 VERIFY_IS_APPROX(MatrixType::Ones(rows,cols)(r,c), static_cast<Scalar>(1)); 26 MatrixType m1 = MatrixType::Ones(rows,cols); 28 VectorType v1 = VectorType::Random(rows); 34 square = MatrixType::Zero(rows, rows); 35 square.diagonal() = VectorType::Ones(rows); [all...] |
H A D | eigen2_sparse_product.cpp | 14 const int rows = ref.rows(); local 19 double density = std::max(8./(rows*cols), 0.01); 25 DenseMatrix refMat2 = DenseMatrix::Zero(rows, rows); 26 DenseMatrix refMat3 = DenseMatrix::Zero(rows, rows); 27 DenseMatrix refMat4 = DenseMatrix::Zero(rows, rows); 28 DenseMatrix dm4 = DenseMatrix::Zero(rows, row [all...] |
H A D | eigen2_sparse_basic.cpp | 48 const int rows = ref.rows(); local 53 double density = std::max(8./(rows*cols), 0.01); 58 SparseMatrixType m(rows, cols); 59 DenseMatrix refMat = DenseMatrix::Zero(rows, cols); 60 DenseVector vec1 = DenseVector::Random(rows); 88 int i = ei_random<int>(0,rows-1); 90 int h = ei_random<int>(1,rows-i-1); 117 for(int r=0; r<rows; r++) 167 DenseMatrix m1(rows,col [all...] |
H A D | eigen2_svd.cpp | 18 int rows = m.rows(); local 23 MatrixType a = MatrixType::Random(rows,cols); 25 Matrix<Scalar, MatrixType::RowsAtCompileTime, 1>::Random(rows,1); 34 MatrixType sigma = MatrixType::Zero(rows,cols); 35 MatrixType matU = MatrixType::Zero(rows,rows); 37 matU.block(0,0,rows,cols) = svd.matrixU(); 42 if (rows==cols) 46 MatrixType a1 = MatrixType::Random(rows,col [all...] |
H A D | eigen2_inverse.cpp | 19 int rows = m.rows(); local 26 MatrixType m1 = MatrixType::Random(rows, cols), 27 m2(rows, cols), 28 identity = MatrixType::Identity(rows, rows); 30 while(ei_abs(m1.determinant()) < RealScalar(0.1) && rows <= 8) 32 m1 = MatrixType::Random(rows, cols);
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/external/opencv3/modules/cudev/include/opencv2/cudev/grid/ |
H A D | integral.hpp | 62 const int rows = getRows(src); local 65 dst.create(rows, cols); 67 integral_detail::integral(shrinkPtr(src), shrinkPtr(dst), rows, cols, StreamAccessor::getStream(stream)); local
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/external/autotest/frontend/migrations/ |
H A D | 042_unique_index_on_hqe_job_and_host.py | 23 rows = manager.execute('SELECT id FROM host_queue_entries ' 25 if rows: 41 rows = manager.execute('SELECT GROUP_CONCAT(id), COUNT(1) AS count ' 47 for ids_string, _ in rows:
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H A D | 062_drone_sets_unique.py | 42 rows = manager.execute(query) 43 if rows:
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/external/eigen/doc/examples/ |
H A D | class_Block.cpp | 8 topLeftCorner(MatrixBase<Derived>& m, int rows, int cols) argument 10 return Eigen::Block<Derived>(m.derived(), 0, 0, rows, cols); 15 topLeftCorner(const MatrixBase<Derived>& m, int rows, int cols) argument 17 return Eigen::Block<const Derived>(m.derived(), 0, 0, rows, cols);
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/external/apache-commons-math/src/main/java/org/apache/commons/math/linear/ |
H A D | NonSquareMatrixException.java | 35 * @param rows number of rows of the faulty matrix 38 public NonSquareMatrixException(final int rows, final int columns) { argument 39 super(LocalizedFormats.NON_SQUARE_MATRIX, rows, columns);
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