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Avoid leading underscore followed by cap in template identifiers

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This commit is contained in:
Alexander Karatarakis
2021-08-04 22:41:52 +00:00
committed by Rasmus Munk Larsen
parent 5ad8b9bfe2
commit 4ba872bd75
129 changed files with 1481 additions and 1480 deletions
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24
Eigen/src/SparseLU/SparseLU.h
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@@ -14,7 +14,7 @@
namespace Eigen {
template <typename _MatrixType, typename _OrderingType = COLAMDOrdering<typename _MatrixType::StorageIndex> > class SparseLU;
template <typename MatrixType_, typename OrderingType_ = COLAMDOrdering<typename MatrixType_::StorageIndex> > class SparseLU;
template <typename MappedSparseMatrixType> struct SparseLUMatrixLReturnType;
template <typename MatrixLType, typename MatrixUType> struct SparseLUMatrixUReturnType;
@@ -119,25 +119,25 @@ private:
* If this is the case for your matrices, you can try the basic scaling method at
* "unsupported/Eigen/src/IterativeSolvers/Scaling.h"
*
* \tparam _MatrixType The type of the sparse matrix. It must be a column-major SparseMatrix<>
* \tparam _OrderingType The ordering method to use, either AMD, COLAMD or METIS. Default is COLMAD
* \tparam MatrixType_ The type of the sparse matrix. It must be a column-major SparseMatrix<>
* \tparam OrderingType_ The ordering method to use, either AMD, COLAMD or METIS. Default is COLMAD
*
* \implsparsesolverconcept
*
* \sa \ref TutorialSparseSolverConcept
* \sa \ref OrderingMethods_Module
*/
template <typename _MatrixType, typename _OrderingType>
class SparseLU : public SparseSolverBase<SparseLU<_MatrixType,_OrderingType> >, public internal::SparseLUImpl<typename _MatrixType::Scalar, typename _MatrixType::StorageIndex>
template <typename MatrixType_, typename OrderingType_>
class SparseLU : public SparseSolverBase<SparseLU<MatrixType_,OrderingType_> >, public internal::SparseLUImpl<typename MatrixType_::Scalar, typename MatrixType_::StorageIndex>
{
protected:
typedef SparseSolverBase<SparseLU<_MatrixType,_OrderingType> > APIBase;
typedef SparseSolverBase<SparseLU<MatrixType_,OrderingType_> > APIBase;
using APIBase::m_isInitialized;
public:
using APIBase::_solve_impl;
typedef _MatrixType MatrixType;
typedef _OrderingType OrderingType;
typedef MatrixType_ MatrixType;
typedef OrderingType_ OrderingType;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename MatrixType::StorageIndex StorageIndex;
@@ -197,9 +197,9 @@ class SparseLU : public SparseSolverBase<SparseLU<_MatrixType,_OrderingType> >,
*
* \sa adjoint(), solve()
*/
const SparseLUTransposeView<false,SparseLU<_MatrixType,_OrderingType> > transpose()
const SparseLUTransposeView<false,SparseLU<MatrixType_,OrderingType_> > transpose()
{
SparseLUTransposeView<false, SparseLU<_MatrixType,_OrderingType> > transposeView;
SparseLUTransposeView<false, SparseLU<MatrixType_,OrderingType_> > transposeView;
transposeView.setSparseLU(this);
transposeView.setIsInitialized(this->m_isInitialized);
return transposeView;
@@ -218,9 +218,9 @@ class SparseLU : public SparseSolverBase<SparseLU<_MatrixType,_OrderingType> >,
*
* \sa transpose(), solve()
*/
const SparseLUTransposeView<true, SparseLU<_MatrixType,_OrderingType> > adjoint()
const SparseLUTransposeView<true, SparseLU<MatrixType_,OrderingType_> > adjoint()
{
SparseLUTransposeView<true, SparseLU<_MatrixType,_OrderingType> > adjointView;
SparseLUTransposeView<true, SparseLU<MatrixType_,OrderingType_> > adjointView;
adjointView.setSparseLU(this);
adjointView.setIsInitialized(this->m_isInitialized);
return adjointView;