// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008-2010 Gael Guennebaud // Copyright (C) 2006-2008 Benoit Jacob // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #ifndef EIGEN_MACROS_H #define EIGEN_MACROS_H #define EIGEN_WORLD_VERSION 3 #define EIGEN_MAJOR_VERSION 1 #define EIGEN_MINOR_VERSION 2 #define EIGEN_VERSION_AT_LEAST(x,y,z) (EIGEN_WORLD_VERSION>x || (EIGEN_WORLD_VERSION>=x && \ (EIGEN_MAJOR_VERSION>y || (EIGEN_MAJOR_VERSION>=y && \ EIGEN_MINOR_VERSION>=z)))) #ifdef __GNUC__ #define EIGEN_GNUC_AT_LEAST(x,y) ((__GNUC__==x && __GNUC_MINOR__>=y) || __GNUC__>x) #else #define EIGEN_GNUC_AT_LEAST(x,y) 0 #endif #ifdef __GNUC__ #define EIGEN_GNUC_AT_MOST(x,y) ((__GNUC__==x && __GNUC_MINOR__<=y) || __GNUC__::Scalar Scalar; /*!< \brief Numeric type, e.g. float, double, int or std::complex. */ \ typedef typename Eigen::NumTraits::Real RealScalar; /*!< \brief The underlying numeric type for composed scalar types. \details In cases where Scalar is e.g. std::complex, T were corresponding to RealScalar. */ \ typedef typename Base::CoeffReturnType CoeffReturnType; /*!< \brief The return type for coefficient access. \details Depending on whether the object allows direct coefficient access (e.g. for a MatrixXd), this type is either 'const Scalar&' or simply 'Scalar' for objects that do not allow direct coefficient access. */ \ typedef typename Eigen::internal::nested::type Nested; \ typedef typename Eigen::internal::traits::StorageKind StorageKind; \ typedef typename Eigen::internal::traits::Index Index; \ enum { RowsAtCompileTime = Eigen::internal::traits::RowsAtCompileTime, \ ColsAtCompileTime = Eigen::internal::traits::ColsAtCompileTime, \ Flags = Eigen::internal::traits::Flags, \ CoeffReadCost = Eigen::internal::traits::CoeffReadCost, \ SizeAtCompileTime = Base::SizeAtCompileTime, \ MaxSizeAtCompileTime = Base::MaxSizeAtCompileTime, \ IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; #define EIGEN_DENSE_PUBLIC_INTERFACE(Derived) \ typedef typename Eigen::internal::traits::Scalar Scalar; /*!< \brief Numeric type, e.g. float, double, int or std::complex. */ \ typedef typename Eigen::NumTraits::Real RealScalar; /*!< \brief The underlying numeric type for composed scalar types. \details In cases where Scalar is e.g. std::complex, T were corresponding to RealScalar. */ \ typedef typename Base::PacketScalar PacketScalar; \ typedef typename Base::CoeffReturnType CoeffReturnType; /*!< \brief The return type for coefficient access. \details Depending on whether the object allows direct coefficient access (e.g. for a MatrixXd), this type is either 'const Scalar&' or simply 'Scalar' for objects that do not allow direct coefficient access. */ \ typedef typename Eigen::internal::nested::type Nested; \ typedef typename Eigen::internal::traits::StorageKind StorageKind; \ typedef typename Eigen::internal::traits::Index Index; \ enum { RowsAtCompileTime = Eigen::internal::traits::RowsAtCompileTime, \ ColsAtCompileTime = Eigen::internal::traits::ColsAtCompileTime, \ MaxRowsAtCompileTime = Eigen::internal::traits::MaxRowsAtCompileTime, \ MaxColsAtCompileTime = Eigen::internal::traits::MaxColsAtCompileTime, \ Flags = Eigen::internal::traits::Flags, \ CoeffReadCost = Eigen::internal::traits::CoeffReadCost, \ SizeAtCompileTime = Base::SizeAtCompileTime, \ MaxSizeAtCompileTime = Base::MaxSizeAtCompileTime, \ IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \ using Base::derived; \ using Base::const_cast_derived; #define EIGEN_PLAIN_ENUM_MIN(a,b) (((int)a <= (int)b) ? (int)a : (int)b) #define EIGEN_PLAIN_ENUM_MAX(a,b) (((int)a >= (int)b) ? (int)a : (int)b) // EIGEN_SIZE_MIN_PREFER_DYNAMIC gives the min between compile-time sizes. 0 has absolute priority, followed by 1, // followed by Dynamic, followed by other finite values. The reason for giving Dynamic the priority over // finite values is that min(3, Dynamic) should be Dynamic, since that could be anything between 0 and 3. #define EIGEN_SIZE_MIN_PREFER_DYNAMIC(a,b) (((int)a == 0 || (int)b == 0) ? 0 \ : ((int)a == 1 || (int)b == 1) ? 1 \ : ((int)a == Dynamic || (int)b == Dynamic) ? Dynamic \ : ((int)a <= (int)b) ? (int)a : (int)b) // EIGEN_SIZE_MIN_PREFER_FIXED is a variant of EIGEN_SIZE_MIN_PREFER_DYNAMIC comparing MaxSizes. The difference is that finite values // now have priority over Dynamic, so that min(3, Dynamic) gives 3. Indeed, whatever the actual value is // (between 0 and 3), it is not more than 3. #define EIGEN_SIZE_MIN_PREFER_FIXED(a,b) (((int)a == 0 || (int)b == 0) ? 0 \ : ((int)a == 1 || (int)b == 1) ? 1 \ : ((int)a == Dynamic && (int)b == Dynamic) ? Dynamic \ : ((int)a == Dynamic) ? (int)b \ : ((int)b == Dynamic) ? (int)a \ : ((int)a <= (int)b) ? (int)a : (int)b) // see EIGEN_SIZE_MIN_PREFER_DYNAMIC. No need for a separate variant for MaxSizes here. #define EIGEN_SIZE_MAX(a,b) (((int)a == Dynamic || (int)b == Dynamic) ? Dynamic \ : ((int)a >= (int)b) ? (int)a : (int)b) #define EIGEN_LOGICAL_XOR(a,b) (((a) || (b)) && !((a) && (b))) #define EIGEN_IMPLIES(a,b) (!(a) || (b)) #define EIGEN_MAKE_CWISE_BINARY_OP(METHOD,FUNCTOR) \ template \ EIGEN_STRONG_INLINE const CwiseBinaryOp, const Derived, const OtherDerived> \ (METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS &other) const \ { \ return CwiseBinaryOp, const Derived, const OtherDerived>(derived(), other.derived()); \ } // the expression type of a cwise product #define EIGEN_CWISE_PRODUCT_RETURN_TYPE(LHS,RHS) \ CwiseBinaryOp< \ internal::scalar_product_op< \ typename internal::traits::Scalar, \ typename internal::traits::Scalar \ >, \ const LHS, \ const RHS \ > #endif // EIGEN_MACROS_H