Still fixing warnings.

This commit is contained in:
Hauke Heibel 2010-06-20 20:16:45 +02:00
parent cb11f2f8a6
commit 546b802b77
5 changed files with 14 additions and 12 deletions

View File

@ -385,8 +385,9 @@ bool test_is_equal(const T& actual, const U& expected)
* This is very useful to test rank-revealing algorithms. * This is very useful to test rank-revealing algorithms.
*/ */
template<typename MatrixType> template<typename MatrixType>
void createRandomPIMatrixOfRank(typename MatrixType::Index desired_rank, typename MatrixType::Index rows, int cols, MatrixType& m) void createRandomPIMatrixOfRank(typename MatrixType::Index desired_rank, typename MatrixType::Index rows, typename MatrixType::Index cols, MatrixType& m)
{ {
typedef typename ei_traits<MatrixType>::Index Index;
typedef typename ei_traits<MatrixType>::Scalar Scalar; typedef typename ei_traits<MatrixType>::Scalar Scalar;
enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime }; enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime };
@ -412,7 +413,7 @@ void createRandomPIMatrixOfRank(typename MatrixType::Index desired_rank, typenam
MatrixBType b = MatrixBType::Random(cols,cols); MatrixBType b = MatrixBType::Random(cols,cols);
// set the diagonal such that only desired_rank non-zero entries reamain // set the diagonal such that only desired_rank non-zero entries reamain
const int diag_size = std::min(d.rows(),d.cols()); const Index diag_size = std::min(d.rows(),d.cols());
if(diag_size != desired_rank) if(diag_size != desired_rank)
d.diagonal().segment(desired_rank, diag_size-desired_rank) = VectorType::Zero(diag_size-desired_rank); d.diagonal().segment(desired_rank, diag_size-desired_rank) = VectorType::Zero(diag_size-desired_rank);

View File

@ -71,9 +71,9 @@ template<typename MatrixType> void product(const MatrixType& m)
Scalar s1 = ei_random<Scalar>(); Scalar s1 = ei_random<Scalar>();
int r = ei_random<int>(0, rows-1), Index r = ei_random<Index>(0, rows-1),
c = ei_random<int>(0, cols-1), c = ei_random<Index>(0, cols-1),
c2 = ei_random<int>(0, cols-1); c2 = ei_random<Index>(0, cols-1);
// begin testing Product.h: only associativity for now // begin testing Product.h: only associativity for now
// (we use Transpose.h but this doesn't count as a test for it) // (we use Transpose.h but this doesn't count as a test for it)

View File

@ -60,10 +60,10 @@ template<typename MatrixType> void product_notemporary(const MatrixType& m)
s2 = ei_random<Scalar>(), s2 = ei_random<Scalar>(),
s3 = ei_random<Scalar>(); s3 = ei_random<Scalar>();
int c0 = ei_random<int>(4,cols-8), Index c0 = ei_random<Index>(4,cols-8),
c1 = ei_random<int>(8,cols-c0), c1 = ei_random<Index>(8,cols-c0),
r0 = ei_random<int>(4,cols-8), r0 = ei_random<Index>(4,cols-8),
r1 = ei_random<int>(8,rows-r0); r1 = ei_random<Index>(8,rows-r0);
VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()), 1); VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()), 1);
VERIFY_EVALUATION_COUNT( m3.noalias() = m1 * m2.adjoint(), 0); VERIFY_EVALUATION_COUNT( m3.noalias() = m1 * m2.adjoint(), 0);

View File

@ -30,8 +30,8 @@ template<typename MatrixType> void qr()
{ {
typedef typename MatrixType::Index Index; typedef typename MatrixType::Index Index;
Index rows = ei_random<int>(20,200), cols = ei_random<int>(20,200), cols2 = ei_random<int>(20,200); Index rows = ei_random<Index>(20,200), cols = ei_random<int>(20,200), cols2 = ei_random<int>(20,200);
Index rank = ei_random<int>(1, std::min(rows, cols)-1); Index rank = ei_random<Index>(1, std::min(rows, cols)-1);
typedef typename MatrixType::Scalar Scalar; typedef typename MatrixType::Scalar Scalar;
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> MatrixQType; typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> MatrixQType;

View File

@ -68,9 +68,10 @@ template<typename MatrixType> void matrixRedux(const MatrixType& m)
template<typename VectorType> void vectorRedux(const VectorType& w) template<typename VectorType> void vectorRedux(const VectorType& w)
{ {
typedef typename VectorType::Index Index;
typedef typename VectorType::Scalar Scalar; typedef typename VectorType::Scalar Scalar;
typedef typename NumTraits<Scalar>::Real RealScalar; typedef typename NumTraits<Scalar>::Real RealScalar;
int size = w.size(); Index size = w.size();
VectorType v = VectorType::Random(size); VectorType v = VectorType::Random(size);
for(int i = 1; i < size; i++) for(int i = 1; i < size; i++)