Coverage Report

Created: 2023-12-08 06:52

/src/eigen/Eigen/src/Core/EigenBase.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_EIGENBASE_H
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#define EIGEN_EIGENBASE_H
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// IWYU pragma: private
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#include "./InternalHeaderCheck.h"
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namespace Eigen {
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/** \class EigenBase
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 * \ingroup Core_Module
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 *
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 * Common base class for all classes T such that MatrixBase has an operator=(T) and a constructor MatrixBase(T).
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 *
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 * In other words, an EigenBase object is an object that can be copied into a MatrixBase.
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 *
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 * Besides MatrixBase-derived classes, this also includes special matrix classes such as diagonal matrices, etc.
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 *
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 * Notice that this class is trivial, it is only used to disambiguate overloaded functions.
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 *
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 * \sa \blank \ref TopicClassHierarchy
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 */
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template <typename Derived>
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struct EigenBase {
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  //   typedef typename internal::plain_matrix_type<Derived>::type PlainObject;
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  /** \brief The interface type of indices
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   * \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE.
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   * \sa StorageIndex, \ref TopicPreprocessorDirectives.
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   * DEPRECATED: Since Eigen 3.3, its usage is deprecated. Use Eigen::Index instead.
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   * Deprecation is not marked with a doxygen comment because there are too many existing usages to add the deprecation
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   * attribute.
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   */
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  typedef Eigen::Index Index;
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  // FIXME is it needed?
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  typedef typename internal::traits<Derived>::StorageKind StorageKind;
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  /** \returns a reference to the derived object */
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18.7M
  EIGEN_DEVICE_FUNC Derived& derived() { return *static_cast<Derived*>(this); }
Eigen::EigenBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> >::derived()
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41.0k
  EIGEN_DEVICE_FUNC Derived& derived() { return *static_cast<Derived*>(this); }
Eigen::EigenBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >::derived()
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18.6M
  EIGEN_DEVICE_FUNC Derived& derived() { return *static_cast<Derived*>(this); }
Eigen::EigenBase<Eigen::Transpose<Eigen::Matrix<int, -1, -1, 0, -1, -1> > >::derived()
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  EIGEN_DEVICE_FUNC Derived& derived() { return *static_cast<Derived*>(this); }
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  /** \returns a const reference to the derived object */
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74.7M
  EIGEN_DEVICE_FUNC const Derived& derived() const { return *static_cast<const Derived*>(this); }
Eigen::EigenBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> >::derived() const
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82.9k
  EIGEN_DEVICE_FUNC const Derived& derived() const { return *static_cast<const Derived*>(this); }
Eigen::EigenBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >::derived() const
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74.6M
  EIGEN_DEVICE_FUNC const Derived& derived() const { return *static_cast<const Derived*>(this); }
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  EIGEN_DEVICE_FUNC inline Derived& const_cast_derived() const {
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    return *static_cast<Derived*>(const_cast<EigenBase*>(this));
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  }
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  EIGEN_DEVICE_FUNC inline const Derived& const_derived() const { return *static_cast<const Derived*>(this); }
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  /** \returns the number of rows. \sa cols(), RowsAtCompileTime */
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37.3M
  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index rows() const EIGEN_NOEXCEPT { return derived().rows(); }
Eigen::EigenBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> >::rows() const
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41.0k
  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index rows() const EIGEN_NOEXCEPT { return derived().rows(); }
Eigen::EigenBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >::rows() const
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37.3M
  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index rows() const EIGEN_NOEXCEPT { return derived().rows(); }
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  /** \returns the number of columns. \sa rows(), ColsAtCompileTime*/
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18.7M
  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index cols() const EIGEN_NOEXCEPT { return derived().cols(); }
Eigen::EigenBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> >::cols() const
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41.0k
  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index cols() const EIGEN_NOEXCEPT { return derived().cols(); }
Eigen::EigenBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >::cols() const
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18.6M
  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index cols() const EIGEN_NOEXCEPT { return derived().cols(); }
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  /** \returns the number of coefficients, which is rows()*cols().
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   * \sa rows(), cols(), SizeAtCompileTime. */
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41.0k
  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index size() const EIGEN_NOEXCEPT { return rows() * cols(); }
Eigen::EigenBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> >::size() const
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  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index size() const EIGEN_NOEXCEPT { return rows() * cols(); }
Unexecuted instantiation: Eigen::EigenBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >::size() const
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  /** \internal Don't use it, but do the equivalent: \code dst = *this; \endcode */
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  template <typename Dest>
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  EIGEN_DEVICE_FUNC inline void evalTo(Dest& dst) const {
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    derived().evalTo(dst);
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  }
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  /** \internal Don't use it, but do the equivalent: \code dst += *this; \endcode */
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  template <typename Dest>
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  EIGEN_DEVICE_FUNC inline void addTo(Dest& dst) const {
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    // This is the default implementation,
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    // derived class can reimplement it in a more optimized way.
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    typename Dest::PlainObject res(rows(), cols());
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    evalTo(res);
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    dst += res;
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  }
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  /** \internal Don't use it, but do the equivalent: \code dst -= *this; \endcode */
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  template <typename Dest>
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  EIGEN_DEVICE_FUNC inline void subTo(Dest& dst) const {
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    // This is the default implementation,
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    // derived class can reimplement it in a more optimized way.
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    typename Dest::PlainObject res(rows(), cols());
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    evalTo(res);
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    dst -= res;
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  }
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  /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheRight(*this); \endcode */
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  template <typename Dest>
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  EIGEN_DEVICE_FUNC inline void applyThisOnTheRight(Dest& dst) const {
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    // This is the default implementation,
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    // derived class can reimplement it in a more optimized way.
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    dst = dst * this->derived();
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  }
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  /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheLeft(*this); \endcode */
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  template <typename Dest>
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  EIGEN_DEVICE_FUNC inline void applyThisOnTheLeft(Dest& dst) const {
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    // This is the default implementation,
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    // derived class can reimplement it in a more optimized way.
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    dst = this->derived() * dst;
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  }
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};
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/***************************************************************************
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 * Implementation of matrix base methods
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 ***************************************************************************/
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/** \brief Copies the generic expression \a other into *this.
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 *
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 * \details The expression must provide a (templated) evalTo(Derived& dst) const
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 * function which does the actual job. In practice, this allows any user to write
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 * its own special matrix without having to modify MatrixBase
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 *
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 * \returns a reference to *this.
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 */
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template <typename Derived>
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template <typename OtherDerived>
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EIGEN_DEVICE_FUNC Derived& DenseBase<Derived>::operator=(const EigenBase<OtherDerived>& other) {
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  call_assignment(derived(), other.derived());
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  return derived();
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}
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template <typename Derived>
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template <typename OtherDerived>
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EIGEN_DEVICE_FUNC Derived& DenseBase<Derived>::operator+=(const EigenBase<OtherDerived>& other) {
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  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar, typename OtherDerived::Scalar>());
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  return derived();
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}
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template <typename Derived>
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template <typename OtherDerived>
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EIGEN_DEVICE_FUNC Derived& DenseBase<Derived>::operator-=(const EigenBase<OtherDerived>& other) {
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  call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar, typename OtherDerived::Scalar>());
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  return derived();
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}
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}  // end namespace Eigen
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#endif  // EIGEN_EIGENBASE_H