LCOV - code coverage report
Current view: top level - plugins - MatrixCwiseBinaryOps.h (source / functions) Hit Total Coverage
Test: coverage.info.cleaned Lines: 2 2 100.0 %
Date: 1980-01-01 00:00:00 Functions: 4 4 100.0 %
Branches: 0 0 -

           Branch data     Line data    Source code
       1                 :            : // This file is part of Eigen, a lightweight C++ template library
       2                 :            : // for linear algebra.
       3                 :            : //
       4                 :            : // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
       5                 :            : // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
       6                 :            : //
       7                 :            : // This Source Code Form is subject to the terms of the Mozilla
       8                 :            : // Public License v. 2.0. If a copy of the MPL was not distributed
       9                 :            : // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
      10                 :            : 
      11                 :            : // This file is a base class plugin containing matrix specifics coefficient wise functions.
      12                 :            : 
      13                 :            : /** \returns an expression of the Schur product (coefficient wise product) of *this and \a other
      14                 :            :   *
      15                 :            :   * Example: \include MatrixBase_cwiseProduct.cpp
      16                 :            :   * Output: \verbinclude MatrixBase_cwiseProduct.out
      17                 :            :   *
      18                 :            :   * \sa class CwiseBinaryOp, cwiseAbs2
      19                 :            :   */
      20                 :            : template<typename OtherDerived>
      21                 :            : EIGEN_DEVICE_FUNC
      22                 :            : EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product)
      23                 :       3130 : cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
      24                 :            : {
      25                 :       3130 :   return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product)(derived(), other.derived());
      26                 :            : }
      27                 :            : 
      28                 :            : /** \returns an expression of the coefficient-wise == operator of *this and \a other
      29                 :            :   *
      30                 :            :   * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
      31                 :            :   * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
      32                 :            :   * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
      33                 :            :   * isMuchSmallerThan().
      34                 :            :   *
      35                 :            :   * Example: \include MatrixBase_cwiseEqual.cpp
      36                 :            :   * Output: \verbinclude MatrixBase_cwiseEqual.out
      37                 :            :   *
      38                 :            :   * \sa cwiseNotEqual(), isApprox(), isMuchSmallerThan()
      39                 :            :   */
      40                 :            : template<typename OtherDerived>
      41                 :            : EIGEN_DEVICE_FUNC
      42                 :            : inline const CwiseBinaryOp<numext::equal_to<Scalar>, const Derived, const OtherDerived>
      43                 :            : cwiseEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
      44                 :            : {
      45                 :            :   return CwiseBinaryOp<numext::equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
      46                 :            : }
      47                 :            : 
      48                 :            : /** \returns an expression of the coefficient-wise != operator of *this and \a other
      49                 :            :   *
      50                 :            :   * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
      51                 :            :   * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
      52                 :            :   * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
      53                 :            :   * isMuchSmallerThan().
      54                 :            :   *
      55                 :            :   * Example: \include MatrixBase_cwiseNotEqual.cpp
      56                 :            :   * Output: \verbinclude MatrixBase_cwiseNotEqual.out
      57                 :            :   *
      58                 :            :   * \sa cwiseEqual(), isApprox(), isMuchSmallerThan()
      59                 :            :   */
      60                 :            : template<typename OtherDerived>
      61                 :            : EIGEN_DEVICE_FUNC
      62                 :            : inline const CwiseBinaryOp<numext::not_equal_to<Scalar>, const Derived, const OtherDerived>
      63                 :            : cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
      64                 :            : {
      65                 :            :   return CwiseBinaryOp<numext::not_equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
      66                 :            : }
      67                 :            : 
      68                 :            : /** \returns an expression of the coefficient-wise min of *this and \a other
      69                 :            :   *
      70                 :            :   * Example: \include MatrixBase_cwiseMin.cpp
      71                 :            :   * Output: \verbinclude MatrixBase_cwiseMin.out
      72                 :            :   *
      73                 :            :   * \sa class CwiseBinaryOp, max()
      74                 :            :   */
      75                 :            : template<typename OtherDerived>
      76                 :            : EIGEN_DEVICE_FUNC
      77                 :            : EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>
      78                 :            : cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
      79                 :            : {
      80                 :            :   return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
      81                 :            : }
      82                 :            : 
      83                 :            : /** \returns an expression of the coefficient-wise min of *this and scalar \a other
      84                 :            :   *
      85                 :            :   * \sa class CwiseBinaryOp, min()
      86                 :            :   */
      87                 :            : EIGEN_DEVICE_FUNC
      88                 :            : EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
      89                 :            : cwiseMin(const Scalar &other) const
      90                 :            : {
      91                 :            :   return cwiseMin(Derived::Constant(rows(), cols(), other));
      92                 :            : }
      93                 :            : 
      94                 :            : /** \returns an expression of the coefficient-wise max of *this and \a other
      95                 :            :   *
      96                 :            :   * Example: \include MatrixBase_cwiseMax.cpp
      97                 :            :   * Output: \verbinclude MatrixBase_cwiseMax.out
      98                 :            :   *
      99                 :            :   * \sa class CwiseBinaryOp, min()
     100                 :            :   */
     101                 :            : template<typename OtherDerived>
     102                 :            : EIGEN_DEVICE_FUNC
     103                 :            : EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>
     104                 :            : cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
     105                 :            : {
     106                 :            :   return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
     107                 :            : }
     108                 :            : 
     109                 :            : /** \returns an expression of the coefficient-wise max of *this and scalar \a other
     110                 :            :   *
     111                 :            :   * \sa class CwiseBinaryOp, min()
     112                 :            :   */
     113                 :            : EIGEN_DEVICE_FUNC
     114                 :            : EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
     115                 :            : cwiseMax(const Scalar &other) const
     116                 :            : {
     117                 :            :   return cwiseMax(Derived::Constant(rows(), cols(), other));
     118                 :            : }
     119                 :            : 
     120                 :            : 
     121                 :            : /** \returns an expression of the coefficient-wise quotient of *this and \a other
     122                 :            :   *
     123                 :            :   * Example: \include MatrixBase_cwiseQuotient.cpp
     124                 :            :   * Output: \verbinclude MatrixBase_cwiseQuotient.out
     125                 :            :   *
     126                 :            :   * \sa class CwiseBinaryOp, cwiseProduct(), cwiseInverse()
     127                 :            :   */
     128                 :            : template<typename OtherDerived>
     129                 :            : EIGEN_DEVICE_FUNC
     130                 :            : EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>
     131                 :            : cwiseQuotient(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
     132                 :            : {
     133                 :            :   return CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
     134                 :            : }
     135                 :            : 
     136                 :            : typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>, const Derived, const ConstantReturnType> CwiseScalarEqualReturnType;
     137                 :            : 
     138                 :            : /** \returns an expression of the coefficient-wise == operator of \c *this and a scalar \a s
     139                 :            :   *
     140                 :            :   * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
     141                 :            :   * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
     142                 :            :   * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
     143                 :            :   * isMuchSmallerThan().
     144                 :            :   *
     145                 :            :   * \sa cwiseEqual(const MatrixBase<OtherDerived> &) const
     146                 :            :   */
     147                 :            : EIGEN_DEVICE_FUNC
     148                 :            : inline const CwiseScalarEqualReturnType
     149                 :            : cwiseEqual(const Scalar& s) const
     150                 :            : {
     151                 :            :   return CwiseScalarEqualReturnType(derived(), Derived::Constant(rows(), cols(), s), internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>());
     152                 :            : }

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