Go to the documentation of this file.00001
00002
00003
00004
00005
00006
00007
00008
00009
00010 #ifndef EIGEN_CWISE_UNARY_VIEW_H
00011 #define EIGEN_CWISE_UNARY_VIEW_H
00012
00013 namespace Eigen {
00014
00029 namespace internal {
00030 template<typename ViewOp, typename MatrixType>
00031 struct traits<CwiseUnaryView<ViewOp, MatrixType> >
00032 : traits<MatrixType>
00033 {
00034 typedef typename result_of<
00035 ViewOp(typename traits<MatrixType>::Scalar)
00036 >::type Scalar;
00037 typedef typename MatrixType::Nested MatrixTypeNested;
00038 typedef typename remove_all<MatrixTypeNested>::type _MatrixTypeNested;
00039 enum {
00040 Flags = (traits<_MatrixTypeNested>::Flags & (HereditaryBits | LvalueBit | LinearAccessBit | DirectAccessBit)),
00041 CoeffReadCost = traits<_MatrixTypeNested>::CoeffReadCost + functor_traits<ViewOp>::Cost,
00042 MatrixTypeInnerStride = inner_stride_at_compile_time<MatrixType>::ret,
00043
00044
00045 InnerStrideAtCompileTime = MatrixTypeInnerStride == Dynamic
00046 ? int(Dynamic)
00047 : int(MatrixTypeInnerStride)
00048 * int(sizeof(typename traits<MatrixType>::Scalar) / sizeof(Scalar)),
00049 OuterStrideAtCompileTime = outer_stride_at_compile_time<MatrixType>::ret
00050 };
00051 };
00052 }
00053
00054 template<typename ViewOp, typename MatrixType, typename StorageKind>
00055 class CwiseUnaryViewImpl;
00056
00057 template<typename ViewOp, typename MatrixType>
00058 class CwiseUnaryView : internal::no_assignment_operator,
00059 public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
00060 {
00061 public:
00062
00063 typedef typename CwiseUnaryViewImpl<ViewOp, MatrixType,typename internal::traits<MatrixType>::StorageKind>::Base Base;
00064 EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryView)
00065
00066 inline CwiseUnaryView(const MatrixType& mat, const ViewOp& func = ViewOp())
00067 : m_matrix(mat), m_functor(func) {}
00068
00069 EIGEN_INHERIT_ASSIGNMENT_OPERATORS(CwiseUnaryView)
00070
00071 EIGEN_STRONG_INLINE Index rows() const { return m_matrix.rows(); }
00072 EIGEN_STRONG_INLINE Index cols() const { return m_matrix.cols(); }
00073
00075 const ViewOp& functor() const { return m_functor; }
00076
00078 const typename internal::remove_all<typename MatrixType::Nested>::type&
00079 nestedExpression() const { return m_matrix; }
00080
00082 typename internal::remove_all<typename MatrixType::Nested>::type&
00083 nestedExpression() { return m_matrix.const_cast_derived(); }
00084
00085 protected:
00086
00087 typename internal::nested<MatrixType>::type m_matrix;
00088 ViewOp m_functor;
00089 };
00090
00091 template<typename ViewOp, typename MatrixType>
00092 class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
00093 : public internal::dense_xpr_base< CwiseUnaryView<ViewOp, MatrixType> >::type
00094 {
00095 public:
00096
00097 typedef CwiseUnaryView<ViewOp, MatrixType> Derived;
00098 typedef typename internal::dense_xpr_base< CwiseUnaryView<ViewOp, MatrixType> >::type Base;
00099
00100 EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
00101
00102 inline Index innerStride() const
00103 {
00104 return derived().nestedExpression().innerStride() * sizeof(typename internal::traits<MatrixType>::Scalar) / sizeof(Scalar);
00105 }
00106
00107 inline Index outerStride() const
00108 {
00109 return derived().nestedExpression().outerStride();
00110 }
00111
00112 EIGEN_STRONG_INLINE CoeffReturnType coeff(Index row, Index col) const
00113 {
00114 return derived().functor()(derived().nestedExpression().coeff(row, col));
00115 }
00116
00117 EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
00118 {
00119 return derived().functor()(derived().nestedExpression().coeff(index));
00120 }
00121
00122 EIGEN_STRONG_INLINE Scalar& coeffRef(Index row, Index col)
00123 {
00124 return derived().functor()(const_cast_derived().nestedExpression().coeffRef(row, col));
00125 }
00126
00127 EIGEN_STRONG_INLINE Scalar& coeffRef(Index index)
00128 {
00129 return derived().functor()(const_cast_derived().nestedExpression().coeffRef(index));
00130 }
00131 };
00132
00133 }
00134
00135 #endif // EIGEN_CWISE_UNARY_VIEW_H