| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> | |
| // | |
| // 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_ALLANDANY_H | |
| #define EIGEN_ALLANDANY_H | |
| namespace Eigen { | |
| namespace internal { | |
| template<typename Derived, int UnrollCount, int Rows> | |
| struct all_unroller | |
| { | |
| enum { | |
| col = (UnrollCount-1) / Rows, | |
| row = (UnrollCount-1) % Rows | |
| }; | |
| static inline bool run(const Derived &mat) | |
| { | |
| return all_unroller<Derived, UnrollCount-1, Rows>::run(mat) && mat.coeff(row, col); | |
| } | |
| }; | |
| template<typename Derived, int Rows> | |
| struct all_unroller<Derived, 0, Rows> | |
| { | |
| static inline bool run(const Derived &/*mat*/) { return true; } | |
| }; | |
| template<typename Derived, int Rows> | |
| struct all_unroller<Derived, Dynamic, Rows> | |
| { | |
| static inline bool run(const Derived &) { return false; } | |
| }; | |
| template<typename Derived, int UnrollCount, int Rows> | |
| struct any_unroller | |
| { | |
| enum { | |
| col = (UnrollCount-1) / Rows, | |
| row = (UnrollCount-1) % Rows | |
| }; | |
| static inline bool run(const Derived &mat) | |
| { | |
| return any_unroller<Derived, UnrollCount-1, Rows>::run(mat) || mat.coeff(row, col); | |
| } | |
| }; | |
| template<typename Derived, int Rows> | |
| struct any_unroller<Derived, 0, Rows> | |
| { | |
| static inline bool run(const Derived & /*mat*/) { return false; } | |
| }; | |
| template<typename Derived, int Rows> | |
| struct any_unroller<Derived, Dynamic, Rows> | |
| { | |
| static inline bool run(const Derived &) { return false; } | |
| }; | |
| } // end namespace internal | |
| /** \returns true if all coefficients are true | |
| * | |
| * Example: \include MatrixBase_all.cpp | |
| * Output: \verbinclude MatrixBase_all.out | |
| * | |
| * \sa any(), Cwise::operator<() | |
| */ | |
| template<typename Derived> | |
| EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::all() const | |
| { | |
| typedef internal::evaluator<Derived> Evaluator; | |
| enum { | |
| unroll = SizeAtCompileTime != Dynamic | |
| && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT | |
| }; | |
| Evaluator evaluator(derived()); | |
| if(unroll) | |
| return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator); | |
| else | |
| { | |
| for(Index j = 0; j < cols(); ++j) | |
| for(Index i = 0; i < rows(); ++i) | |
| if (!evaluator.coeff(i, j)) return false; | |
| return true; | |
| } | |
| } | |
| /** \returns true if at least one coefficient is true | |
| * | |
| * \sa all() | |
| */ | |
| template<typename Derived> | |
| EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::any() const | |
| { | |
| typedef internal::evaluator<Derived> Evaluator; | |
| enum { | |
| unroll = SizeAtCompileTime != Dynamic | |
| && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT | |
| }; | |
| Evaluator evaluator(derived()); | |
| if(unroll) | |
| return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator); | |
| else | |
| { | |
| for(Index j = 0; j < cols(); ++j) | |
| for(Index i = 0; i < rows(); ++i) | |
| if (evaluator.coeff(i, j)) return true; | |
| return false; | |
| } | |
| } | |
| /** \returns the number of coefficients which evaluate to true | |
| * | |
| * \sa all(), any() | |
| */ | |
| template<typename Derived> | |
| EIGEN_DEVICE_FUNC inline Eigen::Index DenseBase<Derived>::count() const | |
| { | |
| return derived().template cast<bool>().template cast<Index>().sum(); | |
| } | |
| /** \returns true is \c *this contains at least one Not A Number (NaN). | |
| * | |
| * \sa allFinite() | |
| */ | |
| template<typename Derived> | |
| inline bool DenseBase<Derived>::hasNaN() const | |
| { | |
| #if EIGEN_COMP_MSVC || (defined __FAST_MATH__) | |
| return derived().array().isNaN().any(); | |
| #else | |
| return !((derived().array()==derived().array()).all()); | |
| #endif | |
| } | |
| /** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values. | |
| * | |
| * \sa hasNaN() | |
| */ | |
| template<typename Derived> | |
| inline bool DenseBase<Derived>::allFinite() const | |
| { | |
| #if EIGEN_COMP_MSVC || (defined __FAST_MATH__) | |
| return derived().array().isFinite().all(); | |
| #else | |
| return !((derived()-derived()).hasNaN()); | |
| #endif | |
| } | |
| } // end namespace Eigen | |
| #endif // EIGEN_ALLANDANY_H |