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Clean source code and unit tests with respect to -Wunused-local-typedefs

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This commit is contained in:
Gael Guennebaud
2013-04-10 22:27:35 +02:00
parent 7e04d7db02
commit 899c0c2b6c
60 changed files with 3 additions and 114 deletions
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1
Eigen/src/CholmodSupport/CholmodSupport.h
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@@ -51,7 +51,6 @@ void cholmod_configure_matrix(CholmodType& mat)
template<typename _Scalar, int _Options, typename _Index>
cholmod_sparse viewAsCholmod(SparseMatrix<_Scalar,_Options,_Index>& mat)
{
typedef SparseMatrix<_Scalar,_Options,_Index> MatrixType;
cholmod_sparse res;
res.nzmax = mat.nonZeros();
res.nrow = mat.rows();;

1
Eigen/src/Core/AssignEvaluator.h
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@@ -596,7 +596,6 @@ struct copy_using_evaluator_impl<DstXprType, SrcXprType, AllAtOnceTraversal, NoU
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
typedef typename DstXprType::Index Index;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);

1
Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h
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@@ -238,7 +238,6 @@ struct general_product_to_triangular_selector<MatrixType,ProductType,UpLo,false>
{
static void run(MatrixType& mat, const ProductType& prod, const typename MatrixType::Scalar& alpha)
{
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::Index Index;
typedef typename internal::remove_all<typename ProductType::LhsNested>::type Lhs;

1
Eigen/src/Core/products/SelfadjointMatrixVector.h
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@@ -44,7 +44,6 @@ EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrd
Scalar alpha)
{
typedef typename packet_traits<Scalar>::type Packet;
typedef typename NumTraits<Scalar>::Real RealScalar;
const Index PacketSize = sizeof(Packet)/sizeof(Scalar);
enum {

1
Eigen/src/Core/util/Memory.h
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@@ -457,7 +457,6 @@ template<typename T, bool Align> inline void conditional_aligned_delete_auto(T *
template<typename Scalar, typename Index>
static inline Index first_aligned(const Scalar* array, Index size)
{
typedef typename packet_traits<Scalar>::type Packet;
enum { PacketSize = packet_traits<Scalar>::size,
PacketAlignedMask = PacketSize-1
};

1
Eigen/src/Eigenvalues/ComplexSchur.h
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@@ -364,7 +364,6 @@ struct complex_schur_reduce_to_hessenberg<MatrixType, false>
static void run(ComplexSchur<MatrixType>& _this, const MatrixType& matrix, bool computeU)
{
typedef typename ComplexSchur<MatrixType>::ComplexScalar ComplexScalar;
typedef typename ComplexSchur<MatrixType>::ComplexMatrixType ComplexMatrixType;
// Note: m_hess is over RealScalar; m_matT and m_matU is over ComplexScalar
_this.m_hess.compute(matrix);

2
Eigen/src/Eigenvalues/Tridiagonalization.h
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@@ -426,8 +426,6 @@ struct tridiagonalization_inplace_selector;
template<typename MatrixType, typename DiagonalType, typename SubDiagonalType>
void tridiagonalization_inplace(MatrixType& mat, DiagonalType& diag, SubDiagonalType& subdiag, bool extractQ)
{
typedef typename MatrixType::Index Index;
//Index n = mat.rows();
eigen_assert(mat.cols()==mat.rows() && diag.size()==mat.rows() && subdiag.size()==mat.rows()-1);
tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, extractQ);
}

1
Eigen/src/OrderingMethods/Amd.h
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@@ -91,7 +91,6 @@ template<typename Scalar, typename Index>
void minimum_degree_ordering(SparseMatrix<Scalar,ColMajor,Index>& C, PermutationMatrix<Dynamic,Dynamic,Index>& perm)
{
using std::sqrt;
typedef SparseMatrix<Scalar,ColMajor,Index> CCS;
int d, dk, dext, lemax = 0, e, elenk, eln, i, j, k, k1,
k2, k3, jlast, ln, dense, nzmax, mindeg = 0, nvi, nvj, nvk, mark, wnvi,

1
Eigen/src/QR/HouseholderQR.h
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@@ -241,7 +241,6 @@ void householder_qr_inplace_blocked(MatrixQR& mat, HCoeffs& hCoeffs,
{
typedef typename MatrixQR::Index Index;
typedef typename MatrixQR::Scalar Scalar;
typedef typename MatrixQR::RealScalar RealScalar;
typedef Block<MatrixQR,Dynamic,Dynamic> BlockType;
Index rows = mat.rows();

1
Eigen/src/SparseCore/SparseMatrix.h
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@@ -909,7 +909,6 @@ void set_from_triplets(const InputIterator& begin, const InputIterator& end, Spa
EIGEN_UNUSED_VARIABLE(Options);
enum { IsRowMajor = SparseMatrixType::IsRowMajor };
typedef typename SparseMatrixType::Scalar Scalar;
typedef typename SparseMatrixType::Index Index;
SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor> trMat(mat.rows(),mat.cols());
// pass 1: count the nnz per inner-vector

1
Eigen/src/SparseCore/SparseSelfAdjointView.h
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@@ -213,7 +213,6 @@ class SparseSelfAdjointTimeDenseProduct
// TODO use alpha
eigen_assert(alpha==Scalar(1) && "alpha != 1 is not implemented yet, sorry");
typedef typename internal::remove_all<Lhs>::type _Lhs;
typedef typename internal::remove_all<Rhs>::type _Rhs;
typedef typename _Lhs::InnerIterator LhsInnerIterator;
enum {
LhsIsRowMajor = (_Lhs::Flags&RowMajorBit)==RowMajorBit,