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Clang-format tests, examples, libraries, benchmarks, etc.
This commit is contained in:
Antonio Sánchez
committed by
Rasmus Munk Larsen
Rasmus Munk Larsen
parent
3252ecc7a4
commit
46e9cdb7fe
343
test/block.cpp
343
test/block.cpp
@@ -9,78 +9,73 @@
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#include "main.h"
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template<typename MatrixType, typename Index, typename Scalar>
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std::enable_if_t<!NumTraits<typename MatrixType::Scalar>::IsComplex,typename MatrixType::Scalar>
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block_real_only(const MatrixType &m1, Index r1, Index r2, Index c1, Index c2, const Scalar& s1) {
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template <typename MatrixType, typename Index, typename Scalar>
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std::enable_if_t<!NumTraits<typename MatrixType::Scalar>::IsComplex, typename MatrixType::Scalar> block_real_only(
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const MatrixType& m1, Index r1, Index r2, Index c1, Index c2, const Scalar& s1) {
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// check cwise-Functions:
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VERIFY_IS_APPROX(m1.row(r1).cwiseMax(s1), m1.cwiseMax(s1).row(r1));
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VERIFY_IS_APPROX(m1.col(c1).cwiseMin(s1), m1.cwiseMin(s1).col(c1));
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VERIFY_IS_APPROX(m1.block(r1,c1,r2-r1+1,c2-c1+1).cwiseMin(s1), m1.cwiseMin(s1).block(r1,c1,r2-r1+1,c2-c1+1));
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VERIFY_IS_APPROX(m1.block(r1,c1,r2-r1+1,c2-c1+1).cwiseMax(s1), m1.cwiseMax(s1).block(r1,c1,r2-r1+1,c2-c1+1));
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VERIFY_IS_APPROX(m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).cwiseMin(s1),
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m1.cwiseMin(s1).block(r1, c1, r2 - r1 + 1, c2 - c1 + 1));
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VERIFY_IS_APPROX(m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).cwiseMax(s1),
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m1.cwiseMax(s1).block(r1, c1, r2 - r1 + 1, c2 - c1 + 1));
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return Scalar(0);
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}
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template<typename MatrixType, typename Index, typename Scalar>
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std::enable_if_t<NumTraits<typename MatrixType::Scalar>::IsComplex,typename MatrixType::Scalar>
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block_real_only(const MatrixType &, Index, Index, Index, Index, const Scalar&) {
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template <typename MatrixType, typename Index, typename Scalar>
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std::enable_if_t<NumTraits<typename MatrixType::Scalar>::IsComplex, typename MatrixType::Scalar> block_real_only(
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const MatrixType&, Index, Index, Index, Index, const Scalar&) {
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return Scalar(0);
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}
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// Check at compile-time that T1==T2, and at runtime-time that a==b
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template<typename T1,typename T2>
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std::enable_if_t<internal::is_same<T1,T2>::value,bool>
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is_same_block(const T1& a, const T2& b)
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{
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template <typename T1, typename T2>
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std::enable_if_t<internal::is_same<T1, T2>::value, bool> is_same_block(const T1& a, const T2& b) {
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return a.isApprox(b);
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}
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template <typename MatrixType>
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std::enable_if_t<((MatrixType::Flags&RowMajorBit)==0),void>
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check_left_top(const MatrixType& m, Index r, Index c,
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Index rows, Index /*unused*/) {
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if(c > 0) VERIFY_IS_EQUAL(m.leftCols(c).coeff(r+c*rows), m(r,c));
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std::enable_if_t<((MatrixType::Flags & RowMajorBit) == 0), void> check_left_top(const MatrixType& m, Index r, Index c,
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Index rows, Index /*unused*/) {
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if (c > 0) VERIFY_IS_EQUAL(m.leftCols(c).coeff(r + c * rows), m(r, c));
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}
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template <typename MatrixType>
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std::enable_if_t<((MatrixType::Flags&RowMajorBit)!=0),void>
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check_left_top(const MatrixType& m, Index r, Index c,
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Index /*unused*/, Index cols) {
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if(r > 0) VERIFY_IS_EQUAL(m.topRows(r).coeff(c+r*cols), m(r,c));
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std::enable_if_t<((MatrixType::Flags & RowMajorBit) != 0), void> check_left_top(const MatrixType& m, Index r, Index c,
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Index /*unused*/, Index cols) {
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if (r > 0) VERIFY_IS_EQUAL(m.topRows(r).coeff(c + r * cols), m(r, c));
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}
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template<typename MatrixType> void block(const MatrixType& m)
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{
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template <typename MatrixType>
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void block(const MatrixType& m) {
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::RealScalar RealScalar;
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
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typedef Matrix<Scalar, Dynamic, Dynamic, MatrixType::IsRowMajor?RowMajor:ColMajor> DynamicMatrixType;
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typedef Matrix<Scalar, Dynamic, Dynamic, MatrixType::IsRowMajor ? RowMajor : ColMajor> DynamicMatrixType;
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typedef Matrix<Scalar, Dynamic, 1> DynamicVectorType;
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Index rows = m.rows();
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Index cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols),
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m1_copy = m1,
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m2 = MatrixType::Random(rows, cols),
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m3(rows, cols),
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MatrixType m1 = MatrixType::Random(rows, cols), m1_copy = m1, m2 = MatrixType::Random(rows, cols), m3(rows, cols),
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ones = MatrixType::Ones(rows, cols);
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VectorType v1 = VectorType::Random(rows);
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Scalar s1 = internal::random<Scalar>();
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Index r1 = internal::random<Index>(0,rows-1);
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Index r2 = internal::random<Index>(r1,rows-1);
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Index c1 = internal::random<Index>(0,cols-1);
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Index c2 = internal::random<Index>(c1,cols-1);
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Index r1 = internal::random<Index>(0, rows - 1);
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Index r2 = internal::random<Index>(r1, rows - 1);
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Index c1 = internal::random<Index>(0, cols - 1);
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Index c2 = internal::random<Index>(c1, cols - 1);
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block_real_only(m1, r1, r2, c1, c1, s1);
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//check row() and col()
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// check row() and col()
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VERIFY_IS_EQUAL(m1.col(c1).transpose(), m1.transpose().row(c1));
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//check operator(), both constant and non-constant, on row() and col()
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// check operator(), both constant and non-constant, on row() and col()
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m1 = m1_copy;
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m1.row(r1) += s1 * m1_copy.row(r2);
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VERIFY_IS_APPROX(m1.row(r1), m1_copy.row(r1) + s1 * m1_copy.row(r2));
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@@ -93,59 +88,62 @@ template<typename MatrixType> void block(const MatrixType& m)
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m1.col(c1).col(0) += s1 * m1_copy.col(c2);
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VERIFY_IS_APPROX(m1.col(c1), m1_copy.col(c1) + Scalar(2) * s1 * m1_copy.col(c2));
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check_left_top(m1,r1,c1,rows,cols);
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//check block()
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Matrix<Scalar,Dynamic,Dynamic> b1(1,1); b1(0,0) = m1(r1,c1);
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check_left_top(m1, r1, c1, rows, cols);
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RowVectorType br1(m1.block(r1,0,1,cols));
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VectorType bc1(m1.block(0,c1,rows,1));
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VERIFY_IS_EQUAL(b1, m1.block(r1,c1,1,1));
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// check block()
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Matrix<Scalar, Dynamic, Dynamic> b1(1, 1);
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b1(0, 0) = m1(r1, c1);
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RowVectorType br1(m1.block(r1, 0, 1, cols));
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VectorType bc1(m1.block(0, c1, rows, 1));
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VERIFY_IS_EQUAL(b1, m1.block(r1, c1, 1, 1));
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VERIFY_IS_EQUAL(m1.row(r1), br1);
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VERIFY_IS_EQUAL(m1.col(c1), bc1);
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//check operator(), both constant and non-constant, on block()
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m1.block(r1,c1,r2-r1+1,c2-c1+1) = s1 * m2.block(0, 0, r2-r1+1,c2-c1+1);
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m1.block(r1,c1,r2-r1+1,c2-c1+1)(r2-r1,c2-c1) = m2.block(0, 0, r2-r1+1,c2-c1+1)(0,0);
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// check operator(), both constant and non-constant, on block()
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m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1) = s1 * m2.block(0, 0, r2 - r1 + 1, c2 - c1 + 1);
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m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1)(r2 - r1, c2 - c1) = m2.block(0, 0, r2 - r1 + 1, c2 - c1 + 1)(0, 0);
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const Index BlockRows = 2;
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const Index BlockCols = 5;
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if (rows>=5 && cols>=8)
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{
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if (rows >= 5 && cols >= 8) {
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// test fixed block() as lvalue
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m1.template block<BlockRows,BlockCols>(1,1) *= s1;
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m1.template block<BlockRows, BlockCols>(1, 1) *= s1;
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// test operator() on fixed block() both as constant and non-constant
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m1.template block<BlockRows,BlockCols>(1,1)(0, 3) = m1.template block<2,5>(1,1)(1,2);
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m1.template block<BlockRows, BlockCols>(1, 1)(0, 3) = m1.template block<2, 5>(1, 1)(1, 2);
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// check that fixed block() and block() agree
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Matrix<Scalar,Dynamic,Dynamic> b = m1.template block<BlockRows,BlockCols>(3,3);
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VERIFY_IS_EQUAL(b, m1.block(3,3,BlockRows,BlockCols));
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Matrix<Scalar, Dynamic, Dynamic> b = m1.template block<BlockRows, BlockCols>(3, 3);
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VERIFY_IS_EQUAL(b, m1.block(3, 3, BlockRows, BlockCols));
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// same tests with mixed fixed/dynamic size
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m1.template block<BlockRows,Dynamic>(1,1,BlockRows,BlockCols) *= s1;
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m1.template block<BlockRows,Dynamic>(1,1,BlockRows,BlockCols)(0,3) = m1.template block<2,5>(1,1)(1,2);
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Matrix<Scalar,Dynamic,Dynamic> b2 = m1.template block<Dynamic,BlockCols>(3,3,2,5);
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VERIFY_IS_EQUAL(b2, m1.block(3,3,BlockRows,BlockCols));
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m1.template block<BlockRows, Dynamic>(1, 1, BlockRows, BlockCols) *= s1;
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m1.template block<BlockRows, Dynamic>(1, 1, BlockRows, BlockCols)(0, 3) = m1.template block<2, 5>(1, 1)(1, 2);
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Matrix<Scalar, Dynamic, Dynamic> b2 = m1.template block<Dynamic, BlockCols>(3, 3, 2, 5);
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VERIFY_IS_EQUAL(b2, m1.block(3, 3, BlockRows, BlockCols));
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VERIFY(is_same_block(m1.block(3,3,BlockRows,BlockCols), m1.block(3,3,fix<Dynamic>(BlockRows),fix<Dynamic>(BlockCols))));
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VERIFY(is_same_block(m1.template block<BlockRows,Dynamic>(1,1,BlockRows,BlockCols), m1.block(1,1,fix<BlockRows>,BlockCols)));
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VERIFY(is_same_block(m1.template block<BlockRows,BlockCols>(1,1,BlockRows,BlockCols), m1.block(1,1,fix<BlockRows>(),fix<BlockCols>)));
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VERIFY(is_same_block(m1.template block<BlockRows,BlockCols>(1,1,BlockRows,BlockCols), m1.block(1,1,fix<BlockRows>,fix<BlockCols>(BlockCols))));
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VERIFY(is_same_block(m1.block(3, 3, BlockRows, BlockCols),
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m1.block(3, 3, fix<Dynamic>(BlockRows), fix<Dynamic>(BlockCols))));
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VERIFY(is_same_block(m1.template block<BlockRows, Dynamic>(1, 1, BlockRows, BlockCols),
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m1.block(1, 1, fix<BlockRows>, BlockCols)));
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VERIFY(is_same_block(m1.template block<BlockRows, BlockCols>(1, 1, BlockRows, BlockCols),
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m1.block(1, 1, fix<BlockRows>(), fix<BlockCols>)));
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VERIFY(is_same_block(m1.template block<BlockRows, BlockCols>(1, 1, BlockRows, BlockCols),
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m1.block(1, 1, fix<BlockRows>, fix<BlockCols>(BlockCols))));
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}
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if (rows>2)
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{
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if (rows > 2) {
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// test sub vectors
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VERIFY_IS_EQUAL(v1.template head<2>(), v1.block(0,0,2,1));
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VERIFY_IS_EQUAL(v1.template head<2>(), v1.block(0, 0, 2, 1));
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VERIFY_IS_EQUAL(v1.template head<2>(), v1.head(2));
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VERIFY_IS_EQUAL(v1.template head<2>(), v1.segment(0,2));
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VERIFY_IS_EQUAL(v1.template head<2>(), v1.segment(0, 2));
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VERIFY_IS_EQUAL(v1.template head<2>(), v1.template segment<2>(0));
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Index i = rows-2;
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VERIFY_IS_EQUAL(v1.template tail<2>(), v1.block(i,0,2,1));
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Index i = rows - 2;
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VERIFY_IS_EQUAL(v1.template tail<2>(), v1.block(i, 0, 2, 1));
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VERIFY_IS_EQUAL(v1.template tail<2>(), v1.tail(2));
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VERIFY_IS_EQUAL(v1.template tail<2>(), v1.segment(i,2));
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VERIFY_IS_EQUAL(v1.template tail<2>(), v1.segment(i, 2));
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VERIFY_IS_EQUAL(v1.template tail<2>(), v1.template segment<2>(i));
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i = internal::random<Index>(0,rows-2);
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VERIFY_IS_EQUAL(v1.segment(i,2), v1.template segment<2>(i));
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i = internal::random<Index>(0, rows - 2);
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VERIFY_IS_EQUAL(v1.segment(i, 2), v1.template segment<2>(i));
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}
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// stress some basic stuffs with block matrices
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@@ -154,98 +152,107 @@ template<typename MatrixType> void block(const MatrixType& m)
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VERIFY_IS_EQUAL(numext::real(ones.col(c1).dot(ones.col(c2))), RealScalar(rows));
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VERIFY_IS_EQUAL(numext::real(ones.row(r1).dot(ones.row(r2))), RealScalar(cols));
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// check that linear acccessors works on blocks
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m1 = m1_copy;
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// now test some block-inside-of-block.
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// expressions with direct access
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VERIFY_IS_EQUAL( (m1.block(r1,c1,rows-r1,cols-c1).block(r2-r1,c2-c1,rows-r2,cols-c2)) , (m1.block(r2,c2,rows-r2,cols-c2)) );
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VERIFY_IS_EQUAL( (m1.block(r1,c1,r2-r1+1,c2-c1+1).row(0)) , (m1.row(r1).segment(c1,c2-c1+1)) );
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VERIFY_IS_EQUAL( (m1.block(r1,c1,r2-r1+1,c2-c1+1).col(0)) , (m1.col(c1).segment(r1,r2-r1+1)) );
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VERIFY_IS_EQUAL( (m1.block(r1,c1,r2-r1+1,c2-c1+1).transpose().col(0)) , (m1.row(r1).segment(c1,c2-c1+1)).transpose() );
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VERIFY_IS_EQUAL( (m1.transpose().block(c1,r1,c2-c1+1,r2-r1+1).col(0)) , (m1.row(r1).segment(c1,c2-c1+1)).transpose() );
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VERIFY_IS_EQUAL((m1.block(r1, c1, rows - r1, cols - c1).block(r2 - r1, c2 - c1, rows - r2, cols - c2)),
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(m1.block(r2, c2, rows - r2, cols - c2)));
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VERIFY_IS_EQUAL((m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).row(0)), (m1.row(r1).segment(c1, c2 - c1 + 1)));
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VERIFY_IS_EQUAL((m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).col(0)), (m1.col(c1).segment(r1, r2 - r1 + 1)));
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VERIFY_IS_EQUAL((m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).transpose().col(0)),
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(m1.row(r1).segment(c1, c2 - c1 + 1)).transpose());
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VERIFY_IS_EQUAL((m1.transpose().block(c1, r1, c2 - c1 + 1, r2 - r1 + 1).col(0)),
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(m1.row(r1).segment(c1, c2 - c1 + 1)).transpose());
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// expressions without direct access
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VERIFY_IS_APPROX( ((m1+m2).block(r1,c1,rows-r1,cols-c1).block(r2-r1,c2-c1,rows-r2,cols-c2)) , ((m1+m2).block(r2,c2,rows-r2,cols-c2)) );
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VERIFY_IS_APPROX( ((m1+m2).block(r1,c1,r2-r1+1,c2-c1+1).row(0)) , ((m1+m2).row(r1).segment(c1,c2-c1+1)) );
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VERIFY_IS_APPROX( ((m1+m2).block(r1,c1,r2-r1+1,c2-c1+1).row(0)) , ((m1+m2).eval().row(r1).segment(c1,c2-c1+1)) );
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VERIFY_IS_APPROX( ((m1+m2).block(r1,c1,r2-r1+1,c2-c1+1).col(0)) , ((m1+m2).col(c1).segment(r1,r2-r1+1)) );
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VERIFY_IS_APPROX( ((m1+m2).block(r1,c1,r2-r1+1,c2-c1+1).transpose().col(0)) , ((m1+m2).row(r1).segment(c1,c2-c1+1)).transpose() );
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VERIFY_IS_APPROX( ((m1+m2).transpose().block(c1,r1,c2-c1+1,r2-r1+1).col(0)) , ((m1+m2).row(r1).segment(c1,c2-c1+1)).transpose() );
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VERIFY_IS_APPROX( ((m1+m2).template block<Dynamic,1>(r1,c1,r2-r1+1,1)) , ((m1+m2).eval().col(c1).eval().segment(r1,r2-r1+1)) );
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VERIFY_IS_APPROX( ((m1+m2).template block<1,Dynamic>(r1,c1,1,c2-c1+1)) , ((m1+m2).eval().row(r1).eval().segment(c1,c2-c1+1)) );
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VERIFY_IS_APPROX( ((m1+m2).transpose().template block<1,Dynamic>(c1,r1,1,r2-r1+1)) , ((m1+m2).eval().col(c1).eval().segment(r1,r2-r1+1)).transpose() );
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VERIFY_IS_APPROX( (m1+m2).row(r1).eval(), (m1+m2).eval().row(r1) );
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VERIFY_IS_APPROX( (m1+m2).adjoint().col(r1).eval(), (m1+m2).adjoint().eval().col(r1) );
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VERIFY_IS_APPROX( (m1+m2).adjoint().row(c1).eval(), (m1+m2).adjoint().eval().row(c1) );
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VERIFY_IS_APPROX( (m1*1).row(r1).segment(c1,c2-c1+1).eval(), m1.row(r1).eval().segment(c1,c2-c1+1).eval() );
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VERIFY_IS_APPROX( m1.col(c1).reverse().segment(r1,r2-r1+1).eval(),m1.col(c1).reverse().eval().segment(r1,r2-r1+1).eval() );
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VERIFY_IS_APPROX(((m1 + m2).block(r1, c1, rows - r1, cols - c1).block(r2 - r1, c2 - c1, rows - r2, cols - c2)),
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((m1 + m2).block(r2, c2, rows - r2, cols - c2)));
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VERIFY_IS_APPROX(((m1 + m2).block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).row(0)),
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((m1 + m2).row(r1).segment(c1, c2 - c1 + 1)));
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VERIFY_IS_APPROX(((m1 + m2).block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).row(0)),
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((m1 + m2).eval().row(r1).segment(c1, c2 - c1 + 1)));
|
||||
VERIFY_IS_APPROX(((m1 + m2).block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).col(0)),
|
||||
((m1 + m2).col(c1).segment(r1, r2 - r1 + 1)));
|
||||
VERIFY_IS_APPROX(((m1 + m2).block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).transpose().col(0)),
|
||||
((m1 + m2).row(r1).segment(c1, c2 - c1 + 1)).transpose());
|
||||
VERIFY_IS_APPROX(((m1 + m2).transpose().block(c1, r1, c2 - c1 + 1, r2 - r1 + 1).col(0)),
|
||||
((m1 + m2).row(r1).segment(c1, c2 - c1 + 1)).transpose());
|
||||
VERIFY_IS_APPROX(((m1 + m2).template block<Dynamic, 1>(r1, c1, r2 - r1 + 1, 1)),
|
||||
((m1 + m2).eval().col(c1).eval().segment(r1, r2 - r1 + 1)));
|
||||
VERIFY_IS_APPROX(((m1 + m2).template block<1, Dynamic>(r1, c1, 1, c2 - c1 + 1)),
|
||||
((m1 + m2).eval().row(r1).eval().segment(c1, c2 - c1 + 1)));
|
||||
VERIFY_IS_APPROX(((m1 + m2).transpose().template block<1, Dynamic>(c1, r1, 1, r2 - r1 + 1)),
|
||||
((m1 + m2).eval().col(c1).eval().segment(r1, r2 - r1 + 1)).transpose());
|
||||
VERIFY_IS_APPROX((m1 + m2).row(r1).eval(), (m1 + m2).eval().row(r1));
|
||||
VERIFY_IS_APPROX((m1 + m2).adjoint().col(r1).eval(), (m1 + m2).adjoint().eval().col(r1));
|
||||
VERIFY_IS_APPROX((m1 + m2).adjoint().row(c1).eval(), (m1 + m2).adjoint().eval().row(c1));
|
||||
VERIFY_IS_APPROX((m1 * 1).row(r1).segment(c1, c2 - c1 + 1).eval(), m1.row(r1).eval().segment(c1, c2 - c1 + 1).eval());
|
||||
VERIFY_IS_APPROX(m1.col(c1).reverse().segment(r1, r2 - r1 + 1).eval(),
|
||||
m1.col(c1).reverse().eval().segment(r1, r2 - r1 + 1).eval());
|
||||
|
||||
VERIFY_IS_APPROX( (m1*1).topRows(r1), m1.topRows(r1) );
|
||||
VERIFY_IS_APPROX( (m1*1).leftCols(c1), m1.leftCols(c1) );
|
||||
VERIFY_IS_APPROX( (m1*1).transpose().topRows(c1), m1.transpose().topRows(c1) );
|
||||
VERIFY_IS_APPROX( (m1*1).transpose().leftCols(r1), m1.transpose().leftCols(r1) );
|
||||
VERIFY_IS_APPROX( (m1*1).transpose().middleRows(c1,c2-c1+1), m1.transpose().middleRows(c1,c2-c1+1) );
|
||||
VERIFY_IS_APPROX( (m1*1).transpose().middleCols(r1,r2-r1+1), m1.transpose().middleCols(r1,r2-r1+1) );
|
||||
VERIFY_IS_APPROX((m1 * 1).topRows(r1), m1.topRows(r1));
|
||||
VERIFY_IS_APPROX((m1 * 1).leftCols(c1), m1.leftCols(c1));
|
||||
VERIFY_IS_APPROX((m1 * 1).transpose().topRows(c1), m1.transpose().topRows(c1));
|
||||
VERIFY_IS_APPROX((m1 * 1).transpose().leftCols(r1), m1.transpose().leftCols(r1));
|
||||
VERIFY_IS_APPROX((m1 * 1).transpose().middleRows(c1, c2 - c1 + 1), m1.transpose().middleRows(c1, c2 - c1 + 1));
|
||||
VERIFY_IS_APPROX((m1 * 1).transpose().middleCols(r1, r2 - r1 + 1), m1.transpose().middleCols(r1, r2 - r1 + 1));
|
||||
|
||||
// evaluation into plain matrices from expressions with direct access (stress MapBase)
|
||||
DynamicMatrixType dm;
|
||||
DynamicVectorType dv;
|
||||
dm.setZero();
|
||||
dm = m1.block(r1,c1,rows-r1,cols-c1).block(r2-r1,c2-c1,rows-r2,cols-c2);
|
||||
VERIFY_IS_EQUAL(dm, (m1.block(r2,c2,rows-r2,cols-c2)));
|
||||
dm = m1.block(r1, c1, rows - r1, cols - c1).block(r2 - r1, c2 - c1, rows - r2, cols - c2);
|
||||
VERIFY_IS_EQUAL(dm, (m1.block(r2, c2, rows - r2, cols - c2)));
|
||||
dm.setZero();
|
||||
dv.setZero();
|
||||
dm = m1.block(r1,c1,r2-r1+1,c2-c1+1).row(0).transpose();
|
||||
dv = m1.row(r1).segment(c1,c2-c1+1);
|
||||
dm = m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).row(0).transpose();
|
||||
dv = m1.row(r1).segment(c1, c2 - c1 + 1);
|
||||
VERIFY_IS_EQUAL(dv, dm);
|
||||
dm.setZero();
|
||||
dv.setZero();
|
||||
dm = m1.col(c1).segment(r1,r2-r1+1);
|
||||
dv = m1.block(r1,c1,r2-r1+1,c2-c1+1).col(0);
|
||||
dm = m1.col(c1).segment(r1, r2 - r1 + 1);
|
||||
dv = m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).col(0);
|
||||
VERIFY_IS_EQUAL(dv, dm);
|
||||
dm.setZero();
|
||||
dv.setZero();
|
||||
dm = m1.block(r1,c1,r2-r1+1,c2-c1+1).transpose().col(0);
|
||||
dv = m1.row(r1).segment(c1,c2-c1+1);
|
||||
dm = m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1).transpose().col(0);
|
||||
dv = m1.row(r1).segment(c1, c2 - c1 + 1);
|
||||
VERIFY_IS_EQUAL(dv, dm);
|
||||
dm.setZero();
|
||||
dv.setZero();
|
||||
dm = m1.row(r1).segment(c1,c2-c1+1).transpose();
|
||||
dv = m1.transpose().block(c1,r1,c2-c1+1,r2-r1+1).col(0);
|
||||
dm = m1.row(r1).segment(c1, c2 - c1 + 1).transpose();
|
||||
dv = m1.transpose().block(c1, r1, c2 - c1 + 1, r2 - r1 + 1).col(0);
|
||||
VERIFY_IS_EQUAL(dv, dm);
|
||||
|
||||
VERIFY_IS_EQUAL( (m1.template block<Dynamic,1>(1,0,0,1)), m1.block(1,0,0,1));
|
||||
VERIFY_IS_EQUAL( (m1.template block<1,Dynamic>(0,1,1,0)), m1.block(0,1,1,0));
|
||||
VERIFY_IS_EQUAL( ((m1*1).template block<Dynamic,1>(1,0,0,1)), m1.block(1,0,0,1));
|
||||
VERIFY_IS_EQUAL( ((m1*1).template block<1,Dynamic>(0,1,1,0)), m1.block(0,1,1,0));
|
||||
VERIFY_IS_EQUAL((m1.template block<Dynamic, 1>(1, 0, 0, 1)), m1.block(1, 0, 0, 1));
|
||||
VERIFY_IS_EQUAL((m1.template block<1, Dynamic>(0, 1, 1, 0)), m1.block(0, 1, 1, 0));
|
||||
VERIFY_IS_EQUAL(((m1 * 1).template block<Dynamic, 1>(1, 0, 0, 1)), m1.block(1, 0, 0, 1));
|
||||
VERIFY_IS_EQUAL(((m1 * 1).template block<1, Dynamic>(0, 1, 1, 0)), m1.block(0, 1, 1, 0));
|
||||
|
||||
VERIFY_IS_EQUAL( m1.template subVector<Horizontal>(r1), m1.row(r1) );
|
||||
VERIFY_IS_APPROX( (m1+m1).template subVector<Horizontal>(r1), (m1+m1).row(r1) );
|
||||
VERIFY_IS_EQUAL( m1.template subVector<Vertical>(c1), m1.col(c1) );
|
||||
VERIFY_IS_APPROX( (m1+m1).template subVector<Vertical>(c1), (m1+m1).col(c1) );
|
||||
VERIFY_IS_EQUAL( m1.template subVectors<Horizontal>(), m1.rows() );
|
||||
VERIFY_IS_EQUAL( m1.template subVectors<Vertical>(), m1.cols() );
|
||||
VERIFY_IS_EQUAL(m1.template subVector<Horizontal>(r1), m1.row(r1));
|
||||
VERIFY_IS_APPROX((m1 + m1).template subVector<Horizontal>(r1), (m1 + m1).row(r1));
|
||||
VERIFY_IS_EQUAL(m1.template subVector<Vertical>(c1), m1.col(c1));
|
||||
VERIFY_IS_APPROX((m1 + m1).template subVector<Vertical>(c1), (m1 + m1).col(c1));
|
||||
VERIFY_IS_EQUAL(m1.template subVectors<Horizontal>(), m1.rows());
|
||||
VERIFY_IS_EQUAL(m1.template subVectors<Vertical>(), m1.cols());
|
||||
|
||||
if (rows>=2 || cols>=2) {
|
||||
VERIFY_IS_EQUAL( int(m1.middleCols(0,0).IsRowMajor), int(m1.IsRowMajor) );
|
||||
VERIFY_IS_EQUAL( m1.middleCols(0,0).outerSize(), m1.IsRowMajor ? rows : 0);
|
||||
VERIFY_IS_EQUAL( m1.middleCols(0,0).innerSize(), m1.IsRowMajor ? 0 : rows);
|
||||
if (rows >= 2 || cols >= 2) {
|
||||
VERIFY_IS_EQUAL(int(m1.middleCols(0, 0).IsRowMajor), int(m1.IsRowMajor));
|
||||
VERIFY_IS_EQUAL(m1.middleCols(0, 0).outerSize(), m1.IsRowMajor ? rows : 0);
|
||||
VERIFY_IS_EQUAL(m1.middleCols(0, 0).innerSize(), m1.IsRowMajor ? 0 : rows);
|
||||
|
||||
VERIFY_IS_EQUAL( int(m1.middleRows(0,0).IsRowMajor), int(m1.IsRowMajor) );
|
||||
VERIFY_IS_EQUAL( m1.middleRows(0,0).outerSize(), m1.IsRowMajor ? 0 : cols);
|
||||
VERIFY_IS_EQUAL( m1.middleRows(0,0).innerSize(), m1.IsRowMajor ? cols : 0);
|
||||
VERIFY_IS_EQUAL(int(m1.middleRows(0, 0).IsRowMajor), int(m1.IsRowMajor));
|
||||
VERIFY_IS_EQUAL(m1.middleRows(0, 0).outerSize(), m1.IsRowMajor ? 0 : cols);
|
||||
VERIFY_IS_EQUAL(m1.middleRows(0, 0).innerSize(), m1.IsRowMajor ? cols : 0);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
template<typename MatrixType>
|
||||
std::enable_if_t<MatrixType::IsVectorAtCompileTime,void>
|
||||
compare_using_data_and_stride(const MatrixType& m)
|
||||
{
|
||||
template <typename MatrixType>
|
||||
std::enable_if_t<MatrixType::IsVectorAtCompileTime, void> compare_using_data_and_stride(const MatrixType& m) {
|
||||
Index rows = m.rows();
|
||||
Index cols = m.cols();
|
||||
Index size = m.size();
|
||||
@@ -254,19 +261,15 @@ compare_using_data_and_stride(const MatrixType& m)
|
||||
Index colStride = m.colStride();
|
||||
const typename MatrixType::Scalar* data = m.data();
|
||||
|
||||
for(int j=0;j<cols;++j)
|
||||
for(int i=0;i<rows;++i)
|
||||
VERIFY(m.coeff(i,j) == data[i*rowStride + j*colStride]);
|
||||
for (int j = 0; j < cols; ++j)
|
||||
for (int i = 0; i < rows; ++i) VERIFY(m.coeff(i, j) == data[i * rowStride + j * colStride]);
|
||||
|
||||
VERIFY(innerStride == int((&m.coeff(1))-(&m.coeff(0))));
|
||||
for (int i=0;i<size;++i)
|
||||
VERIFY(m.coeff(i) == data[i*innerStride]);
|
||||
VERIFY(innerStride == int((&m.coeff(1)) - (&m.coeff(0))));
|
||||
for (int i = 0; i < size; ++i) VERIFY(m.coeff(i) == data[i * innerStride]);
|
||||
}
|
||||
|
||||
template<typename MatrixType>
|
||||
std::enable_if_t<!MatrixType::IsVectorAtCompileTime,void>
|
||||
compare_using_data_and_stride(const MatrixType& m)
|
||||
{
|
||||
template <typename MatrixType>
|
||||
std::enable_if_t<!MatrixType::IsVectorAtCompileTime, void> compare_using_data_and_stride(const MatrixType& m) {
|
||||
Index rows = m.rows();
|
||||
Index cols = m.cols();
|
||||
Index innerStride = m.innerStride();
|
||||
@@ -275,38 +278,34 @@ compare_using_data_and_stride(const MatrixType& m)
|
||||
Index colStride = m.colStride();
|
||||
const typename MatrixType::Scalar* data = m.data();
|
||||
|
||||
for(int j=0;j<cols;++j)
|
||||
for(int i=0;i<rows;++i)
|
||||
VERIFY(m.coeff(i,j) == data[i*rowStride + j*colStride]);
|
||||
for (int j = 0; j < cols; ++j)
|
||||
for (int i = 0; i < rows; ++i) VERIFY(m.coeff(i, j) == data[i * rowStride + j * colStride]);
|
||||
|
||||
for(int j=0;j<cols;++j)
|
||||
for(int i=0;i<rows;++i)
|
||||
VERIFY(m.coeff(i,j) == data[(MatrixType::Flags&RowMajorBit)
|
||||
? i*outerStride + j*innerStride
|
||||
: j*outerStride + i*innerStride]);
|
||||
for (int j = 0; j < cols; ++j)
|
||||
for (int i = 0; i < rows; ++i)
|
||||
VERIFY(m.coeff(i, j) == data[(MatrixType::Flags & RowMajorBit) ? i * outerStride + j * innerStride
|
||||
: j * outerStride + i * innerStride]);
|
||||
}
|
||||
|
||||
template<typename MatrixType>
|
||||
void data_and_stride(const MatrixType& m)
|
||||
{
|
||||
template <typename MatrixType>
|
||||
void data_and_stride(const MatrixType& m) {
|
||||
Index rows = m.rows();
|
||||
Index cols = m.cols();
|
||||
|
||||
Index r1 = internal::random<Index>(0,rows-1);
|
||||
Index r2 = internal::random<Index>(r1,rows-1);
|
||||
Index c1 = internal::random<Index>(0,cols-1);
|
||||
Index c2 = internal::random<Index>(c1,cols-1);
|
||||
Index r1 = internal::random<Index>(0, rows - 1);
|
||||
Index r2 = internal::random<Index>(r1, rows - 1);
|
||||
Index c1 = internal::random<Index>(0, cols - 1);
|
||||
Index c2 = internal::random<Index>(c1, cols - 1);
|
||||
|
||||
MatrixType m1 = MatrixType::Random(rows, cols);
|
||||
compare_using_data_and_stride(m1.block(r1, c1, r2-r1+1, c2-c1+1));
|
||||
compare_using_data_and_stride(m1.transpose().block(c1, r1, c2-c1+1, r2-r1+1));
|
||||
compare_using_data_and_stride(m1.block(r1, c1, r2 - r1 + 1, c2 - c1 + 1));
|
||||
compare_using_data_and_stride(m1.transpose().block(c1, r1, c2 - c1 + 1, r2 - r1 + 1));
|
||||
compare_using_data_and_stride(m1.row(r1));
|
||||
compare_using_data_and_stride(m1.col(c1));
|
||||
compare_using_data_and_stride(m1.row(r1).transpose());
|
||||
compare_using_data_and_stride(m1.col(c1).transpose());
|
||||
}
|
||||
|
||||
|
||||
template <typename BaseXpr, typename Xpr = BaseXpr, int Depth = 0>
|
||||
struct unwind_test_impl {
|
||||
static void run(Xpr& xpr) {
|
||||
@@ -343,25 +342,25 @@ void unwind_test(const BaseXpr&) {
|
||||
unwind_test_impl<BaseXpr>::run(xpr);
|
||||
}
|
||||
|
||||
EIGEN_DECLARE_TEST(block)
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST_1( block(Matrix<float, 1, 1>()) );
|
||||
CALL_SUBTEST_1( block(Matrix<float, 1, Dynamic>(internal::random(2,50))) );
|
||||
CALL_SUBTEST_1( block(Matrix<float, Dynamic, 1>(internal::random(2,50))) );
|
||||
CALL_SUBTEST_2( block(Matrix4d()) );
|
||||
CALL_SUBTEST_3( block(MatrixXcf(internal::random(2,50), internal::random(2,50))) );
|
||||
CALL_SUBTEST_4( block(MatrixXi(internal::random(2,50), internal::random(2,50))) );
|
||||
CALL_SUBTEST_5( block(MatrixXcd(internal::random(2,50), internal::random(2,50))) );
|
||||
CALL_SUBTEST_6( block(MatrixXf(internal::random(2,50), internal::random(2,50))) );
|
||||
CALL_SUBTEST_7( block(Matrix<int,Dynamic,Dynamic,RowMajor>(internal::random(2,50), internal::random(2,50))) );
|
||||
EIGEN_DECLARE_TEST(block) {
|
||||
for (int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST_1(block(Matrix<float, 1, 1>()));
|
||||
CALL_SUBTEST_1(block(Matrix<float, 1, Dynamic>(internal::random(2, 50))));
|
||||
CALL_SUBTEST_1(block(Matrix<float, Dynamic, 1>(internal::random(2, 50))));
|
||||
CALL_SUBTEST_2(block(Matrix4d()));
|
||||
CALL_SUBTEST_3(block(MatrixXcf(internal::random(2, 50), internal::random(2, 50))));
|
||||
CALL_SUBTEST_4(block(MatrixXi(internal::random(2, 50), internal::random(2, 50))));
|
||||
CALL_SUBTEST_5(block(MatrixXcd(internal::random(2, 50), internal::random(2, 50))));
|
||||
CALL_SUBTEST_6(block(MatrixXf(internal::random(2, 50), internal::random(2, 50))));
|
||||
CALL_SUBTEST_7(block(Matrix<int, Dynamic, Dynamic, RowMajor>(internal::random(2, 50), internal::random(2, 50))));
|
||||
|
||||
CALL_SUBTEST_8( block(Matrix<float,Dynamic,4>(3, 4)) );
|
||||
CALL_SUBTEST_9( unwind_test(MatrixXf()));
|
||||
CALL_SUBTEST_8(block(Matrix<float, Dynamic, 4>(3, 4)));
|
||||
CALL_SUBTEST_9(unwind_test(MatrixXf()));
|
||||
|
||||
#ifndef EIGEN_DEFAULT_TO_ROW_MAJOR
|
||||
CALL_SUBTEST_6( data_and_stride(MatrixXf(internal::random(5,50), internal::random(5,50))) );
|
||||
CALL_SUBTEST_7( data_and_stride(Matrix<int,Dynamic,Dynamic,RowMajor>(internal::random(5,50), internal::random(5,50))) );
|
||||
CALL_SUBTEST_6(data_and_stride(MatrixXf(internal::random(5, 50), internal::random(5, 50))));
|
||||
CALL_SUBTEST_7(
|
||||
data_and_stride(Matrix<int, Dynamic, Dynamic, RowMajor>(internal::random(5, 50), internal::random(5, 50))));
|
||||
#endif
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user