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authorGravatar Christoph Hertzberg <chtz@informatik.uni-bremen.de>2014-12-04 22:48:53 +0100
committerGravatar Christoph Hertzberg <chtz@informatik.uni-bremen.de>2014-12-04 22:48:53 +0100
commite8cdbedefb1913b5a0e2f2b7d38470f081cb8d29 (patch)
treeb64cb33df57f4cfcd87bf42643279629dc0900d3 /Eigen/src/SparseCore/SparseUtil.h
parent6ccf97f3e6ce39c210e225ba7aae66da15b71660 (diff)
bug #877, bug #572: Introduce a global Index typedef. Rename Sparse*::Index to StorageIndex, make Dense*::StorageIndex an alias to DenseIndex. Overall this commit gets rid of all Index conversion warnings.
Diffstat (limited to 'Eigen/src/SparseCore/SparseUtil.h')
-rw-r--r--Eigen/src/SparseCore/SparseUtil.h41
1 files changed, 22 insertions, 19 deletions
diff --git a/Eigen/src/SparseCore/SparseUtil.h b/Eigen/src/SparseCore/SparseUtil.h
index 8de227b88..5714150c2 100644
--- a/Eigen/src/SparseCore/SparseUtil.h
+++ b/Eigen/src/SparseCore/SparseUtil.h
@@ -43,20 +43,22 @@ EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=)
+// TODO this is mostly the same as EIGEN_GENERIC_PUBLIC_INTERFACE
#define _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, BaseClass) \
typedef BaseClass Base; \
typedef typename Eigen::internal::traits<Derived >::Scalar Scalar; \
typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \
typedef typename Eigen::internal::nested<Derived >::type Nested; \
typedef typename Eigen::internal::traits<Derived >::StorageKind StorageKind; \
- typedef typename Eigen::internal::traits<Derived >::Index Index; \
+ typedef typename Eigen::internal::traits<Derived >::StorageIndex StorageIndex; \
enum { RowsAtCompileTime = Eigen::internal::traits<Derived >::RowsAtCompileTime, \
ColsAtCompileTime = Eigen::internal::traits<Derived >::ColsAtCompileTime, \
Flags = Eigen::internal::traits<Derived>::Flags, \
SizeAtCompileTime = Base::SizeAtCompileTime, \
IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \
using Base::derived; \
- using Base::const_cast_derived;
+ using Base::const_cast_derived; \
+ using Base::convert_index;
#define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \
_EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase<Derived >)
@@ -67,10 +69,10 @@ const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern;
const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern;
template<typename Derived> class SparseMatrixBase;
-template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseMatrix;
-template<typename _Scalar, int _Flags = 0, typename _Index = int> class DynamicSparseMatrix;
-template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseVector;
-template<typename _Scalar, int _Flags = 0, typename _Index = int> class MappedSparseMatrix;
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class SparseMatrix;
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class DynamicSparseMatrix;
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class SparseVector;
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class MappedSparseMatrix;
template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView;
template<typename Lhs, typename Rhs> class SparseDiagonalProduct;
@@ -99,24 +101,25 @@ template<typename T> struct eval<T,Sparse>
template<typename T,int Cols> struct sparse_eval<T,1,Cols> {
typedef typename traits<T>::Scalar _Scalar;
- typedef typename traits<T>::Index _Index;
+ typedef typename traits<T>::StorageIndex _StorageIndex;
public:
- typedef SparseVector<_Scalar, RowMajor, _Index> type;
+ typedef SparseVector<_Scalar, RowMajor, _StorageIndex> type;
};
template<typename T,int Rows> struct sparse_eval<T,Rows,1> {
typedef typename traits<T>::Scalar _Scalar;
- typedef typename traits<T>::Index _Index;
+ typedef typename traits<T>::StorageIndex _StorageIndex;
public:
- typedef SparseVector<_Scalar, ColMajor, _Index> type;
+ typedef SparseVector<_Scalar, ColMajor, _StorageIndex> type;
};
+// TODO this seems almost identical to plain_matrix_type<T, Sparse>
template<typename T,int Rows,int Cols> struct sparse_eval {
typedef typename traits<T>::Scalar _Scalar;
- typedef typename traits<T>::Index _Index;
+ typedef typename traits<T>::StorageIndex _StorageIndex;
enum { _Options = ((traits<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
public:
- typedef SparseMatrix<_Scalar, _Options, _Index> type;
+ typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type;
};
template<typename T> struct sparse_eval<T,1,1> {
@@ -128,10 +131,10 @@ template<typename T> struct sparse_eval<T,1,1> {
template<typename T> struct plain_matrix_type<T,Sparse>
{
typedef typename traits<T>::Scalar _Scalar;
- typedef typename traits<T>::Index _Index;
+ typedef typename traits<T>::StorageIndex _StorageIndex;
enum { _Options = ((evaluator<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
public:
- typedef SparseMatrix<_Scalar, _Options, _Index> type;
+ typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type;
};
template<typename Decomposition, typename RhsType>
@@ -162,26 +165,26 @@ template<> struct glue_shapes<SparseShape,TriangularShape > { typedef SparseTria
*
* \sa SparseMatrix::setFromTriplets()
*/
-template<typename Scalar, typename Index=typename SparseMatrix<Scalar>::Index >
+template<typename Scalar, typename StorageIndex=typename SparseMatrix<Scalar>::StorageIndex >
class Triplet
{
public:
Triplet() : m_row(0), m_col(0), m_value(0) {}
- Triplet(const Index& i, const Index& j, const Scalar& v = Scalar(0))
+ Triplet(const StorageIndex& i, const StorageIndex& j, const Scalar& v = Scalar(0))
: m_row(i), m_col(j), m_value(v)
{}
/** \returns the row index of the element */
- const Index& row() const { return m_row; }
+ const StorageIndex& row() const { return m_row; }
/** \returns the column index of the element */
- const Index& col() const { return m_col; }
+ const StorageIndex& col() const { return m_col; }
/** \returns the value of the element */
const Scalar& value() const { return m_value; }
protected:
- Index m_row, m_col;
+ StorageIndex m_row, m_col;
Scalar m_value;
};