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Revert "Revert "Adds EIGEN_CONSTEXPR and EIGEN_NOEXCEPT to rows(), cols(), innerStride(), outerStride(), and size()""
This reverts commit 5f0b4a4010.
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@@ -23,25 +23,25 @@ struct traits<Product<Lhs, Rhs, Option> >
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typedef typename remove_all<Rhs>::type RhsCleaned;
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typedef traits<LhsCleaned> LhsTraits;
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typedef traits<RhsCleaned> RhsTraits;
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typedef MatrixXpr XprKind;
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typedef typename ScalarBinaryOpTraits<typename traits<LhsCleaned>::Scalar, typename traits<RhsCleaned>::Scalar>::ReturnType Scalar;
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typedef typename product_promote_storage_type<typename LhsTraits::StorageKind,
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typename RhsTraits::StorageKind,
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internal::product_type<Lhs,Rhs>::ret>::ret StorageKind;
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typedef typename promote_index_type<typename LhsTraits::StorageIndex,
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typename RhsTraits::StorageIndex>::type StorageIndex;
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enum {
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RowsAtCompileTime = LhsTraits::RowsAtCompileTime,
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ColsAtCompileTime = RhsTraits::ColsAtCompileTime,
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MaxRowsAtCompileTime = LhsTraits::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = RhsTraits::MaxColsAtCompileTime,
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// FIXME: only needed by GeneralMatrixMatrixTriangular
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InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsTraits::ColsAtCompileTime, RhsTraits::RowsAtCompileTime),
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// The storage order is somewhat arbitrary here. The correct one will be determined through the evaluator.
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Flags = (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1) ? RowMajorBit
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: (MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1) ? 0
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@@ -74,10 +74,10 @@ class Product : public ProductImpl<_Lhs,_Rhs,Option,
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internal::product_type<_Lhs,_Rhs>::ret>::ret>
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{
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public:
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typedef _Lhs Lhs;
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typedef _Rhs Rhs;
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typedef typename ProductImpl<
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Lhs, Rhs, Option,
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typename internal::product_promote_storage_type<typename internal::traits<Lhs>::StorageKind,
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@@ -98,10 +98,10 @@ class Product : public ProductImpl<_Lhs,_Rhs,Option,
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&& "if you wanted a coeff-wise or a dot product use the respective explicit functions");
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Index rows() const { return m_lhs.rows(); }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Index cols() const { return m_rhs.cols(); }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
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Index rows() const EIGEN_NOEXCEPT { return m_lhs.rows(); }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
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Index cols() const EIGEN_NOEXCEPT { return m_rhs.cols(); }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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const LhsNestedCleaned& lhs() const { return m_lhs; }
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@@ -115,7 +115,7 @@ class Product : public ProductImpl<_Lhs,_Rhs,Option,
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};
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namespace internal {
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template<typename Lhs, typename Rhs, int Option, int ProductTag = internal::product_type<Lhs,Rhs>::ret>
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class dense_product_base
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: public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type
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@@ -131,7 +131,7 @@ class dense_product_base<Lhs, Rhs, Option, InnerProduct>
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public:
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using Base::derived;
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typedef typename Base::Scalar Scalar;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE operator const Scalar() const
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{
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return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
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@@ -153,25 +153,25 @@ class ProductImpl<Lhs,Rhs,Option,Dense>
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: public internal::dense_product_base<Lhs,Rhs,Option>
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{
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typedef Product<Lhs, Rhs, Option> Derived;
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public:
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typedef typename internal::dense_product_base<Lhs, Rhs, Option> Base;
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EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
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protected:
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enum {
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IsOneByOne = (RowsAtCompileTime == 1 || RowsAtCompileTime == Dynamic) &&
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IsOneByOne = (RowsAtCompileTime == 1 || RowsAtCompileTime == Dynamic) &&
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(ColsAtCompileTime == 1 || ColsAtCompileTime == Dynamic),
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EnableCoeff = IsOneByOne || Option==LazyProduct
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};
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public:
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar coeff(Index row, Index col) const
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{
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EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS);
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eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) );
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return internal::evaluator<Derived>(derived()).coeff(row,col);
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}
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@@ -179,11 +179,11 @@ class ProductImpl<Lhs,Rhs,Option,Dense>
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{
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EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS);
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eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) );
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return internal::evaluator<Derived>(derived()).coeff(i);
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}
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};
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} // end namespace Eigen
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