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https://gitlab.com/libeigen/eigen.git
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bug #397: add a warning for 64 to 32 bit integer conversion and fix many of these warning by splitting the index type used for storage and as size/coefficient indexes in PermutationMatrix and Transpositions.
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5e72151ca5
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@ -108,7 +108,8 @@ endif()
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set(EIGEN_TEST_MAX_SIZE "320" CACHE STRING "Maximal matrix/vector size, default is 320")
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macro(ei_add_cxx_compiler_flag FLAG)
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string(REGEX REPLACE "-" "" SFLAG ${FLAG})
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string(REGEX REPLACE "-" "" SFLAG1 ${FLAG})
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string(REGEX REPLACE "\\+" "p" SFLAG ${SFLAG1})
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check_cxx_compiler_flag(${FLAG} COMPILER_SUPPORT_${SFLAG})
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if(COMPILER_SUPPORT_${SFLAG})
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${FLAG}")
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@ -142,6 +143,9 @@ if(NOT MSVC)
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ei_add_cxx_compiler_flag("-Wpointer-arith")
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ei_add_cxx_compiler_flag("-Wwrite-strings")
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ei_add_cxx_compiler_flag("-Wformat-security")
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ei_add_cxx_compiler_flag("-Wshorten-64-to-32")
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ei_add_cxx_compiler_flag("-Wenum-conversion")
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ei_add_cxx_compiler_flag("-Wc++11-extensions")
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ei_add_cxx_compiler_flag("-Wno-psabi")
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ei_add_cxx_compiler_flag("-Wno-variadic-macros")
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@ -153,6 +157,7 @@ if(NOT MSVC)
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ei_add_cxx_compiler_flag("-wd981") # disable ICC's "operands are evaluated in unspecified order" remark
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ei_add_cxx_compiler_flag("-wd2304") # disbale ICC's "warning #2304: non-explicit constructor with single argument may cause implicit type conversion" produced by -Wnon-virtual-dtor
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# The -ansi flag must be added last, otherwise it is also used as a linker flag by check_cxx_compiler_flag making it fails
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# Moreover we should not set both -strict-ansi and -ansi
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check_cxx_compiler_flag("-strict-ansi" COMPILER_SUPPORT_STRICTANSI)
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@ -246,6 +246,7 @@ template<> struct ldlt_inplace<Lower>
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::RealScalar RealScalar;
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typedef typename MatrixType::Index Index;
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typedef typename TranspositionType::StorageIndexType IndexType;
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eigen_assert(mat.rows()==mat.cols());
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const Index size = mat.rows();
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@ -265,7 +266,7 @@ template<> struct ldlt_inplace<Lower>
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mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
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index_of_biggest_in_corner += k;
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transpositions.coeffRef(k) = index_of_biggest_in_corner;
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transpositions.coeffRef(k) = IndexType(index_of_biggest_in_corner);
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if(k != index_of_biggest_in_corner)
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{
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// apply the transposition while taking care to consider only
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@ -274,7 +275,7 @@ template<> struct ldlt_inplace<Lower>
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mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k));
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mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s));
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std::swap(mat.coeffRef(k,k),mat.coeffRef(index_of_biggest_in_corner,index_of_biggest_in_corner));
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for(int i=k+1;i<index_of_biggest_in_corner;++i)
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for(Index i=k+1;i<index_of_biggest_in_corner;++i)
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{
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Scalar tmp = mat.coeffRef(i,k);
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mat.coeffRef(i,k) = numext::conj(mat.coeffRef(index_of_biggest_in_corner,i));
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@ -442,6 +443,7 @@ template<typename MatrixType, int _UpLo>
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template<typename Derived>
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LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::rankUpdate(const MatrixBase<Derived>& w, const typename NumTraits<typename MatrixType::Scalar>::Real& sigma)
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{
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typedef typename TranspositionType::StorageIndexType IndexType;
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const Index size = w.rows();
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if (m_isInitialized)
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{
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@ -453,7 +455,7 @@ LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::rankUpdate(const MatrixBase<Deri
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m_matrix.setZero();
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m_transpositions.resize(size);
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for (Index i = 0; i < size; i++)
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m_transpositions.coeffRef(i) = i;
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m_transpositions.coeffRef(i) = IndexType(i);
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m_temporary.resize(size);
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m_sign = sigma>=0 ? internal::PositiveSemiDef : internal::NegativeSemiDef;
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m_isInitialized = true;
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@ -66,11 +66,11 @@ class PermutationBase : public EigenBase<Derived>
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MaxRowsAtCompileTime = Traits::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = Traits::MaxColsAtCompileTime
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};
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typedef typename Traits::Scalar Scalar;
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typedef typename Traits::StorageIndexType StorageIndexType;
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typedef typename Traits::Index Index;
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typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime,0,MaxRowsAtCompileTime,MaxColsAtCompileTime>
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typedef Matrix<StorageIndexType,RowsAtCompileTime,ColsAtCompileTime,0,MaxRowsAtCompileTime,MaxColsAtCompileTime>
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DenseMatrixType;
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typedef PermutationMatrix<IndicesType::SizeAtCompileTime,IndicesType::MaxSizeAtCompileTime,Index>
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typedef PermutationMatrix<IndicesType::SizeAtCompileTime,IndicesType::MaxSizeAtCompileTime,StorageIndexType>
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PlainPermutationType;
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using Base::derived;
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#endif
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@ -147,7 +147,7 @@ class PermutationBase : public EigenBase<Derived>
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/** Sets *this to be the identity permutation matrix */
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void setIdentity()
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{
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for(Index i = 0; i < size(); ++i)
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for(StorageIndexType i = 0; i < size(); ++i)
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indices().coeffRef(i) = i;
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}
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@ -173,8 +173,8 @@ class PermutationBase : public EigenBase<Derived>
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eigen_assert(i>=0 && j>=0 && i<size() && j<size());
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for(Index k = 0; k < size(); ++k)
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{
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if(indices().coeff(k) == i) indices().coeffRef(k) = j;
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else if(indices().coeff(k) == j) indices().coeffRef(k) = i;
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if(indices().coeff(k) == i) indices().coeffRef(k) = StorageIndexType(j);
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else if(indices().coeff(k) == j) indices().coeffRef(k) = StorageIndexType(i);
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}
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return derived();
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}
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@ -262,7 +262,7 @@ class PermutationBase : public EigenBase<Derived>
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*
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* \param SizeAtCompileTime the number of rows/cols, or Dynamic
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* \param MaxSizeAtCompileTime the maximum number of rows/cols, or Dynamic. This optional parameter defaults to SizeAtCompileTime. Most of the time, you should not have to specify it.
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* \param IndexType the interger type of the indices
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* \param StorageIndexType the interger type of the indices
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*
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* This class represents a permutation matrix, internally stored as a vector of integers.
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*
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@ -270,17 +270,18 @@ class PermutationBase : public EigenBase<Derived>
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*/
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namespace internal {
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType>
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struct traits<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType> >
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: traits<Matrix<IndexType,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType>
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struct traits<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndexType> >
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: traits<Matrix<_StorageIndexType,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
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{
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typedef IndexType Index;
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typedef Matrix<IndexType, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1> IndicesType;
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typedef Matrix<_StorageIndexType, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1> IndicesType;
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typedef typename IndicesType::Index Index;
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typedef _StorageIndexType StorageIndexType;
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};
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}
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType>
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class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType>
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class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndexType> >
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{
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typedef PermutationBase<PermutationMatrix> Base;
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typedef internal::traits<PermutationMatrix> Traits;
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@ -288,6 +289,8 @@ class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompile
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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typedef typename Traits::IndicesType IndicesType;
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typedef typename Traits::StorageIndexType StorageIndexType;
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typedef typename Traits::Index Index;
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#endif
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inline PermutationMatrix()
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@ -295,7 +298,7 @@ class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompile
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/** Constructs an uninitialized permutation matrix of given size.
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*/
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inline PermutationMatrix(int size) : m_indices(size)
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inline PermutationMatrix(Index size) : m_indices(size)
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{}
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/** Copy constructor. */
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@ -384,18 +387,19 @@ class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompile
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namespace internal {
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType, int _PacketAccess>
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struct traits<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType>,_PacketAccess> >
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: traits<Matrix<IndexType,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType, int _PacketAccess>
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struct traits<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndexType>,_PacketAccess> >
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: traits<Matrix<_StorageIndexType,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
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{
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typedef IndexType Index;
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typedef Map<const Matrix<IndexType, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1>, _PacketAccess> IndicesType;
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typedef Map<const Matrix<_StorageIndexType, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1>, _PacketAccess> IndicesType;
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typedef typename IndicesType::Index Index;
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typedef _StorageIndexType StorageIndexType;
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};
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}
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType, int _PacketAccess>
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class Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType>,_PacketAccess>
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: public PermutationBase<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType>,_PacketAccess> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType, int _PacketAccess>
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class Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndexType>,_PacketAccess>
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: public PermutationBase<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndexType>,_PacketAccess> >
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{
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typedef PermutationBase<Map> Base;
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typedef internal::traits<Map> Traits;
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@ -403,14 +407,15 @@ class Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType>,
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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typedef typename Traits::IndicesType IndicesType;
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typedef typename IndicesType::Scalar Index;
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typedef typename IndicesType::Scalar StorageIndexType;
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typedef typename IndicesType::Index Index;
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#endif
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inline Map(const Index* indicesPtr)
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inline Map(const StorageIndexType* indicesPtr)
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: m_indices(indicesPtr)
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{}
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inline Map(const Index* indicesPtr, Index size)
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inline Map(const StorageIndexType* indicesPtr, Index size)
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: m_indices(indicesPtr,size)
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{}
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@ -466,7 +471,8 @@ struct traits<PermutationWrapper<_IndicesType> >
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{
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typedef PermutationStorage StorageKind;
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typedef typename _IndicesType::Scalar Scalar;
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typedef typename _IndicesType::Scalar Index;
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typedef typename _IndicesType::Scalar StorageIndexType;
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typedef typename _IndicesType::Index Index;
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typedef _IndicesType IndicesType;
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enum {
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RowsAtCompileTime = _IndicesType::SizeAtCompileTime,
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@ -53,7 +53,8 @@ class TranspositionsBase
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public:
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typedef typename Traits::IndicesType IndicesType;
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typedef typename IndicesType::Scalar Index;
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typedef typename IndicesType::Scalar StorageIndexType;
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typedef typename IndicesType::Index Index;
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Derived& derived() { return *static_cast<Derived*>(this); }
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const Derived& derived() const { return *static_cast<const Derived*>(this); }
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@ -81,17 +82,17 @@ class TranspositionsBase
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inline Index size() const { return indices().size(); }
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/** Direct access to the underlying index vector */
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inline const Index& coeff(Index i) const { return indices().coeff(i); }
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inline const StorageIndexType& coeff(Index i) const { return indices().coeff(i); }
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/** Direct access to the underlying index vector */
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inline Index& coeffRef(Index i) { return indices().coeffRef(i); }
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inline StorageIndexType& coeffRef(Index i) { return indices().coeffRef(i); }
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/** Direct access to the underlying index vector */
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inline const Index& operator()(Index i) const { return indices()(i); }
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inline const StorageIndexType& operator()(Index i) const { return indices()(i); }
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/** Direct access to the underlying index vector */
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inline Index& operator()(Index i) { return indices()(i); }
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inline StorageIndexType& operator()(Index i) { return indices()(i); }
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/** Direct access to the underlying index vector */
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inline const Index& operator[](Index i) const { return indices()(i); }
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inline const StorageIndexType& operator[](Index i) const { return indices()(i); }
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/** Direct access to the underlying index vector */
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inline Index& operator[](Index i) { return indices()(i); }
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inline StorageIndexType& operator[](Index i) { return indices()(i); }
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/** const version of indices(). */
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const IndicesType& indices() const { return derived().indices(); }
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@ -99,7 +100,7 @@ class TranspositionsBase
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IndicesType& indices() { return derived().indices(); }
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/** Resizes to given size. */
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inline void resize(int newSize)
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inline void resize(Index newSize)
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{
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indices().resize(newSize);
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}
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@ -107,7 +108,7 @@ class TranspositionsBase
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/** Sets \c *this to represents an identity transformation */
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void setIdentity()
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{
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for(int i = 0; i < indices().size(); ++i)
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for(StorageIndexType i = 0; i < indices().size(); ++i)
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coeffRef(i) = i;
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}
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@ -144,23 +145,26 @@ class TranspositionsBase
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};
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namespace internal {
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType>
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struct traits<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,IndexType> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType>
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struct traits<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndexType> >
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{
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typedef IndexType Index;
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typedef Matrix<Index, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1> IndicesType;
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typedef Matrix<_StorageIndexType, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1> IndicesType;
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typedef typename IndicesType::Index Index;
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typedef _StorageIndexType StorageIndexType;
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};
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}
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType>
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class Transpositions : public TranspositionsBase<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,IndexType> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType>
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class Transpositions : public TranspositionsBase<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndexType> >
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{
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typedef internal::traits<Transpositions> Traits;
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public:
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typedef TranspositionsBase<Transpositions> Base;
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typedef typename Traits::IndicesType IndicesType;
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typedef typename IndicesType::Scalar Index;
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typedef typename IndicesType::Scalar StorageIndexType;
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typedef typename IndicesType::Index Index;
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inline Transpositions() {}
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@ -215,30 +219,32 @@ class Transpositions : public TranspositionsBase<Transpositions<SizeAtCompileTim
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namespace internal {
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType, int _PacketAccess>
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struct traits<Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,IndexType>,_PacketAccess> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType, int _PacketAccess>
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struct traits<Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndexType>,_PacketAccess> >
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{
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typedef IndexType Index;
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typedef Map<const Matrix<Index,SizeAtCompileTime,1,0,MaxSizeAtCompileTime,1>, _PacketAccess> IndicesType;
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typedef Map<const Matrix<_StorageIndexType,SizeAtCompileTime,1,0,MaxSizeAtCompileTime,1>, _PacketAccess> IndicesType;
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typedef typename IndicesType::Index Index;
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typedef _StorageIndexType StorageIndexType;
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};
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}
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType, int PacketAccess>
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class Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,IndexType>,PacketAccess>
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: public TranspositionsBase<Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,IndexType>,PacketAccess> >
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template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndexType, int PacketAccess>
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class Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndexType>,PacketAccess>
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: public TranspositionsBase<Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndexType>,PacketAccess> >
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{
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typedef internal::traits<Map> Traits;
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public:
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typedef TranspositionsBase<Map> Base;
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typedef typename Traits::IndicesType IndicesType;
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typedef typename IndicesType::Scalar Index;
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typedef typename IndicesType::Scalar StorageIndexType;
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typedef typename IndicesType::Index Index;
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inline Map(const Index* indicesPtr)
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inline Map(const StorageIndexType* indicesPtr)
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: m_indices(indicesPtr)
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{}
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inline Map(const Index* indicesPtr, Index size)
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inline Map(const StorageIndexType* indicesPtr, Index size)
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: m_indices(indicesPtr,size)
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{}
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@ -275,7 +281,8 @@ namespace internal {
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template<typename _IndicesType>
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struct traits<TranspositionsWrapper<_IndicesType> >
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{
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typedef typename _IndicesType::Scalar Index;
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typedef typename _IndicesType::Scalar StorageIndexType;
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typedef typename _IndicesType::Index Index;
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typedef _IndicesType IndicesType;
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};
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}
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@ -289,7 +296,8 @@ class TranspositionsWrapper
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typedef TranspositionsBase<TranspositionsWrapper> Base;
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typedef typename Traits::IndicesType IndicesType;
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typedef typename IndicesType::Scalar Index;
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typedef typename IndicesType::Scalar StorageIndexType;
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typedef typename IndicesType::Index Index;
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inline TranspositionsWrapper(IndicesType& a_indices)
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: m_indices(a_indices)
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@ -363,24 +371,25 @@ struct transposition_matrix_product_retval
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{
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typedef typename remove_all<typename MatrixType::Nested>::type MatrixTypeNestedCleaned;
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typedef typename TranspositionType::Index Index;
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typedef typename TranspositionType::StorageIndexType StorageIndexType;
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transposition_matrix_product_retval(const TranspositionType& tr, const MatrixType& matrix)
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: m_transpositions(tr), m_matrix(matrix)
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{}
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inline int rows() const { return m_matrix.rows(); }
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inline int cols() const { return m_matrix.cols(); }
|
||||
inline Index rows() const { return m_matrix.rows(); }
|
||||
inline Index cols() const { return m_matrix.cols(); }
|
||||
|
||||
template<typename Dest> inline void evalTo(Dest& dst) const
|
||||
{
|
||||
const int size = m_transpositions.size();
|
||||
Index j = 0;
|
||||
const Index size = m_transpositions.size();
|
||||
StorageIndexType j = 0;
|
||||
|
||||
if(!(is_same<MatrixTypeNestedCleaned,Dest>::value && extract_data(dst) == extract_data(m_matrix)))
|
||||
dst = m_matrix;
|
||||
|
||||
for(int k=(Transposed?size-1:0) ; Transposed?k>=0:k<size ; Transposed?--k:++k)
|
||||
if((j=m_transpositions.coeff(k))!=k)
|
||||
for(Index k=(Transposed?size-1:0) ; Transposed?k>=0:k<size ; Transposed?--k:++k)
|
||||
if(Index(j=m_transpositions.coeff(k))!=k)
|
||||
{
|
||||
if(Side==OnTheLeft)
|
||||
dst.row(k).swap(dst.row(j));
|
||||
|
@ -371,13 +371,13 @@ struct partial_lu_impl
|
||||
/** \internal performs the LU decomposition with partial pivoting in-place.
|
||||
*/
|
||||
template<typename MatrixType, typename TranspositionType>
|
||||
void partial_lu_inplace(MatrixType& lu, TranspositionType& row_transpositions, typename TranspositionType::Index& nb_transpositions)
|
||||
void partial_lu_inplace(MatrixType& lu, TranspositionType& row_transpositions, typename TranspositionType::StorageIndexType& nb_transpositions)
|
||||
{
|
||||
eigen_assert(lu.cols() == row_transpositions.size());
|
||||
eigen_assert((&row_transpositions.coeffRef(1)-&row_transpositions.coeffRef(0)) == 1);
|
||||
|
||||
partial_lu_impl
|
||||
<typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::Index>
|
||||
<typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndexType>
|
||||
::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
|
||||
}
|
||||
|
||||
@ -396,7 +396,7 @@ PartialPivLU<MatrixType>& PartialPivLU<MatrixType>::compute(const MatrixType& ma
|
||||
|
||||
m_rowsTranspositions.resize(size);
|
||||
|
||||
typename TranspositionType::Index nb_transpositions;
|
||||
typename TranspositionType::StorageIndexType nb_transpositions;
|
||||
internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
|
||||
m_det_p = (nb_transpositions%2) ? -1 : 1;
|
||||
|
||||
|
@ -69,7 +69,6 @@ class CwiseBinaryOpImpl<BinaryOp,Lhs,Rhs,Sparse>::InnerIterator
|
||||
: public internal::sparse_cwise_binary_op_inner_iterator_selector<BinaryOp,Lhs,Rhs,typename CwiseBinaryOpImpl<BinaryOp,Lhs,Rhs,Sparse>::InnerIterator>
|
||||
{
|
||||
public:
|
||||
typedef typename Lhs::Index Index;
|
||||
typedef internal::sparse_cwise_binary_op_inner_iterator_selector<
|
||||
BinaryOp,Lhs,Rhs, InnerIterator> Base;
|
||||
|
||||
@ -95,11 +94,11 @@ class sparse_cwise_binary_op_inner_iterator_selector<BinaryOp, Lhs, Rhs, Derived
|
||||
{
|
||||
typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> CwiseBinaryXpr;
|
||||
typedef typename traits<CwiseBinaryXpr>::Scalar Scalar;
|
||||
typedef typename traits<CwiseBinaryXpr>::Index Index;
|
||||
typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
|
||||
typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
|
||||
typedef typename _LhsNested::InnerIterator LhsIterator;
|
||||
typedef typename _RhsNested::InnerIterator RhsIterator;
|
||||
typedef typename Lhs::Index Index;
|
||||
|
||||
public:
|
||||
|
||||
@ -161,11 +160,11 @@ class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs,
|
||||
typedef scalar_product_op<T> BinaryFunc;
|
||||
typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
|
||||
typedef typename CwiseBinaryXpr::Scalar Scalar;
|
||||
typedef typename CwiseBinaryXpr::Index Index;
|
||||
typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
|
||||
typedef typename _LhsNested::InnerIterator LhsIterator;
|
||||
typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
|
||||
typedef typename _RhsNested::InnerIterator RhsIterator;
|
||||
typedef typename Lhs::Index Index;
|
||||
public:
|
||||
|
||||
EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
|
||||
@ -215,15 +214,15 @@ class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs,
|
||||
typedef scalar_product_op<T> BinaryFunc;
|
||||
typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
|
||||
typedef typename CwiseBinaryXpr::Scalar Scalar;
|
||||
typedef typename CwiseBinaryXpr::Index Index;
|
||||
typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
|
||||
typedef typename traits<CwiseBinaryXpr>::RhsNested RhsNested;
|
||||
typedef typename _LhsNested::InnerIterator LhsIterator;
|
||||
typedef typename Lhs::Index Index;
|
||||
enum { IsRowMajor = (int(Lhs::Flags)&RowMajorBit)==RowMajorBit };
|
||||
public:
|
||||
|
||||
EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
|
||||
: m_rhs(xpr.rhs()), m_lhsIter(xpr.lhs(),outer), m_functor(xpr.functor()), m_outer(outer)
|
||||
: m_rhs(xpr.rhs()), m_lhsIter(xpr.lhs(),typename _LhsNested::Index(outer)), m_functor(xpr.functor()), m_outer(outer)
|
||||
{}
|
||||
|
||||
EIGEN_STRONG_INLINE Derived& operator++()
|
||||
@ -256,9 +255,9 @@ class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs,
|
||||
typedef scalar_product_op<T> BinaryFunc;
|
||||
typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
|
||||
typedef typename CwiseBinaryXpr::Scalar Scalar;
|
||||
typedef typename CwiseBinaryXpr::Index Index;
|
||||
typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
|
||||
typedef typename _RhsNested::InnerIterator RhsIterator;
|
||||
typedef typename Lhs::Index Index;
|
||||
|
||||
enum { IsRowMajor = (int(Rhs::Flags)&RowMajorBit)==RowMajorBit };
|
||||
public:
|
||||
|
@ -102,8 +102,8 @@ class SparseDenseOuterProduct
|
||||
EIGEN_STATIC_ASSERT(Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);
|
||||
}
|
||||
|
||||
EIGEN_STRONG_INLINE Index rows() const { return Tr ? m_rhs.rows() : m_lhs.rows(); }
|
||||
EIGEN_STRONG_INLINE Index cols() const { return Tr ? m_lhs.cols() : m_rhs.cols(); }
|
||||
EIGEN_STRONG_INLINE Index rows() const { return Tr ? Index(m_rhs.rows()) : m_lhs.rows(); }
|
||||
EIGEN_STRONG_INLINE Index cols() const { return Tr ? m_lhs.cols() : Index(m_rhs.cols()); }
|
||||
|
||||
EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; }
|
||||
EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; }
|
||||
@ -139,7 +139,7 @@ class SparseDenseOuterProduct<Lhs,Rhs,Transpose>::InnerIterator : public _LhsNes
|
||||
Scalar get(const _RhsNested &rhs, Index outer, Sparse = Sparse())
|
||||
{
|
||||
typename Traits::_RhsNested::InnerIterator it(rhs, outer);
|
||||
if (it && it.index()==0 && it.value()!=0)
|
||||
if (it && it.index()==0 && it.value()!=Scalar(0))
|
||||
return it.value();
|
||||
m_empty = true;
|
||||
return Scalar(0);
|
||||
|
@ -32,8 +32,10 @@ struct traits<SparseDiagonalProduct<Lhs, Rhs> >
|
||||
typedef typename remove_all<Lhs>::type _Lhs;
|
||||
typedef typename remove_all<Rhs>::type _Rhs;
|
||||
typedef typename _Lhs::Scalar Scalar;
|
||||
typedef typename promote_index_type<typename traits<Lhs>::Index,
|
||||
typename traits<Rhs>::Index>::type Index;
|
||||
// propagate the index type of the sparse matrix
|
||||
typedef typename conditional< is_diagonal<_Lhs>::ret,
|
||||
typename traits<Rhs>::Index,
|
||||
typename traits<Lhs>::Index>::type Index;
|
||||
typedef Sparse StorageKind;
|
||||
typedef MatrixXpr XprKind;
|
||||
enum {
|
||||
@ -90,8 +92,8 @@ class SparseDiagonalProduct
|
||||
eigen_assert(lhs.cols() == rhs.rows() && "invalid sparse matrix * diagonal matrix product");
|
||||
}
|
||||
|
||||
EIGEN_STRONG_INLINE Index rows() const { return m_lhs.rows(); }
|
||||
EIGEN_STRONG_INLINE Index cols() const { return m_rhs.cols(); }
|
||||
EIGEN_STRONG_INLINE Index rows() const { return Index(m_lhs.rows()); }
|
||||
EIGEN_STRONG_INLINE Index cols() const { return Index(m_rhs.cols()); }
|
||||
|
||||
EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; }
|
||||
EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; }
|
||||
@ -109,7 +111,7 @@ class sparse_diagonal_product_inner_iterator_selector
|
||||
: public CwiseUnaryOp<scalar_multiple_op<typename Lhs::Scalar>,const Rhs>::InnerIterator
|
||||
{
|
||||
typedef typename CwiseUnaryOp<scalar_multiple_op<typename Lhs::Scalar>,const Rhs>::InnerIterator Base;
|
||||
typedef typename Lhs::Index Index;
|
||||
typedef typename Rhs::Index Index;
|
||||
public:
|
||||
inline sparse_diagonal_product_inner_iterator_selector(
|
||||
const SparseDiagonalProductType& expr, Index outer)
|
||||
@ -129,7 +131,7 @@ class sparse_diagonal_product_inner_iterator_selector
|
||||
scalar_product_op<typename Lhs::Scalar>,
|
||||
const typename Rhs::ConstInnerVectorReturnType,
|
||||
const typename Lhs::DiagonalVectorType>::InnerIterator Base;
|
||||
typedef typename Lhs::Index Index;
|
||||
typedef typename Rhs::Index Index;
|
||||
Index m_outer;
|
||||
public:
|
||||
inline sparse_diagonal_product_inner_iterator_selector(
|
||||
|
@ -800,7 +800,9 @@ protected:
|
||||
template<typename Other>
|
||||
void initAssignment(const Other& other)
|
||||
{
|
||||
resize(other.rows(), other.cols());
|
||||
eigen_assert( other.rows() == typename Other::Index(Index(other.rows()))
|
||||
&& other.cols() == typename Other::Index(Index(other.cols())) );
|
||||
resize(Index(other.rows()), Index(other.cols()));
|
||||
if(m_innerNonZeros)
|
||||
{
|
||||
std::free(m_innerNonZeros);
|
||||
@ -940,7 +942,7 @@ void set_from_triplets(const InputIterator& begin, const InputIterator& end, Spa
|
||||
enum { IsRowMajor = SparseMatrixType::IsRowMajor };
|
||||
typedef typename SparseMatrixType::Scalar Scalar;
|
||||
typedef typename SparseMatrixType::Index Index;
|
||||
SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor> trMat(mat.rows(),mat.cols());
|
||||
SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,Index> trMat(mat.rows(),mat.cols());
|
||||
|
||||
if(begin!=end)
|
||||
{
|
||||
|
@ -202,20 +202,20 @@ template<typename Derived> class SparseMatrixBase : public EigenBase<Derived>
|
||||
inline Derived& assign(const OtherDerived& other)
|
||||
{
|
||||
const bool transpose = (Flags & RowMajorBit) != (OtherDerived::Flags & RowMajorBit);
|
||||
const Index outerSize = (int(OtherDerived::Flags) & RowMajorBit) ? other.rows() : other.cols();
|
||||
const Index outerSize = (int(OtherDerived::Flags) & RowMajorBit) ? Index(other.rows()) : Index(other.cols());
|
||||
if ((!transpose) && other.isRValue())
|
||||
{
|
||||
// eval without temporary
|
||||
derived().resize(other.rows(), other.cols());
|
||||
derived().resize(Index(other.rows()), Index(other.cols()));
|
||||
derived().setZero();
|
||||
derived().reserve((std::max)(this->rows(),this->cols())*2);
|
||||
for (Index j=0; j<outerSize; ++j)
|
||||
{
|
||||
derived().startVec(j);
|
||||
for (typename OtherDerived::InnerIterator it(other, j); it; ++it)
|
||||
for (typename OtherDerived::InnerIterator it(other, typename OtherDerived::Index(j)); it; ++it)
|
||||
{
|
||||
Scalar v = it.value();
|
||||
derived().insertBackByOuterInner(j,it.index()) = v;
|
||||
derived().insertBackByOuterInner(j,Index(it.index())) = v;
|
||||
}
|
||||
}
|
||||
derived().finalize();
|
||||
@ -237,19 +237,19 @@ template<typename Derived> class SparseMatrixBase : public EigenBase<Derived>
|
||||
|
||||
enum { Flip = (Flags & RowMajorBit) != (OtherDerived::Flags & RowMajorBit) };
|
||||
|
||||
const Index outerSize = other.outerSize();
|
||||
const Index outerSize = Index(other.outerSize());
|
||||
//typedef typename internal::conditional<transpose, LinkedVectorMatrix<Scalar,Flags&RowMajorBit>, Derived>::type TempType;
|
||||
// thanks to shallow copies, we always eval to a tempary
|
||||
Derived temp(other.rows(), other.cols());
|
||||
Derived temp(Index(other.rows()), Index(other.cols()));
|
||||
|
||||
temp.reserve((std::max)(this->rows(),this->cols())*2);
|
||||
for (Index j=0; j<outerSize; ++j)
|
||||
{
|
||||
temp.startVec(j);
|
||||
for (typename OtherDerived::InnerIterator it(other.derived(), j); it; ++it)
|
||||
for (typename OtherDerived::InnerIterator it(other.derived(), typename OtherDerived::Index(j)); it; ++it)
|
||||
{
|
||||
Scalar v = it.value();
|
||||
temp.insertBackByOuterInner(Flip?it.index():j,Flip?j:it.index()) = v;
|
||||
temp.insertBackByOuterInner(Flip?Index(it.index()):j,Flip?j:Index(it.index())) = v;
|
||||
}
|
||||
}
|
||||
temp.finalize();
|
||||
@ -401,7 +401,7 @@ template<typename Derived> class SparseMatrixBase : public EigenBase<Derived>
|
||||
{
|
||||
dst.setZero();
|
||||
for (Index j=0; j<outerSize(); ++j)
|
||||
for (typename Derived::InnerIterator i(derived(),j); i; ++i)
|
||||
for (typename Derived::InnerIterator i(derived(),typename Derived::Index(j)); i; ++i)
|
||||
dst.coeffRef(i.row(),i.col()) = i.value();
|
||||
}
|
||||
|
||||
|
@ -246,7 +246,7 @@ class SparseSelfAdjointTimeDenseProduct
|
||||
|| ( (UpLo&Lower) && LhsIsRowMajor),
|
||||
ProcessSecondHalf = !ProcessFirstHalf
|
||||
};
|
||||
for (Index j=0; j<m_lhs.outerSize(); ++j)
|
||||
for (typename _Lhs::Index j=0; j<m_lhs.outerSize(); ++j)
|
||||
{
|
||||
LhsInnerIterator i(m_lhs,j);
|
||||
if (ProcessSecondHalf)
|
||||
|
Loading…
Reference in New Issue
Block a user