Add the concept of base class plugins, and started to write the ArrayBase class.

Sorry for this messy commit but I have to commit it...
This commit is contained in:
Gael Guennebaud
2009-11-20 18:20:55 +01:00
parent 4af1753b6f
commit 80ebeae48d
9 changed files with 770 additions and 107 deletions

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This file is a base class plugin containing common coefficient wise functions.
/** \returns an expression of the difference of \c *this and \a other
*
* \note If you want to substract a given scalar from all coefficients, see Cwise::operator-().
*
* \sa class CwiseBinaryOp, MatrixBase::operator-=()
*/
template<typename OtherDerived>
EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_difference_op<typename ei_traits<Derived>::Scalar>,
Derived, OtherDerived>
operator-(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<ei_scalar_difference_op<Scalar>,
Derived, OtherDerived>(derived(), other.derived());
}
/** \returns an expression of the sum of \c *this and \a other
*
* \note If you want to add a given scalar to all coefficients, see Cwise::operator+().
*
* \sa class CwiseBinaryOp, MatrixBase::operator+=()
*/
template<typename OtherDerived>
EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_sum_op<typename ei_traits<Derived>::Scalar>, Derived, OtherDerived>
operator+(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<ei_scalar_sum_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
}
/** \returns an expression of a custom coefficient-wise operator \a func of *this and \a other
*
* The template parameter \a CustomBinaryOp is the type of the functor
* of the custom operator (see class CwiseBinaryOp for an example)
*
* Here is an example illustrating the use of custom functors:
* \include class_CwiseBinaryOp.cpp
* Output: \verbinclude class_CwiseBinaryOp.out
*
* \sa class CwiseBinaryOp, MatrixBase::operator+, MatrixBase::operator-, MatrixBase::cwiseProduct
*/
template<typename CustomBinaryOp, typename OtherDerived>
EIGEN_STRONG_INLINE const CwiseBinaryOp<CustomBinaryOp, Derived, OtherDerived>
binaryExpr(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other, const CustomBinaryOp& func = CustomBinaryOp()) const
{
return CwiseBinaryOp<CustomBinaryOp, Derived, OtherDerived>(derived(), other.derived(), func);
}

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This file is a base class plugin containing common coefficient wise functions.
#ifndef EIGEN_PARSED_BY_DOXYGEN
/** \internal Represents a scalar multiple of a matrix */
typedef CwiseUnaryOp<ei_scalar_multiple_op<Scalar>, Derived> ScalarMultipleReturnType;
/** \internal Represents a quotient of a matrix by a scalar*/
typedef CwiseUnaryOp<ei_scalar_quotient1_op<Scalar>, Derived> ScalarQuotient1ReturnType;
/** \internal the return type of MatrixBase::conjugate() */
typedef typename ei_meta_if<NumTraits<Scalar>::IsComplex,
const CwiseUnaryOp<ei_scalar_conjugate_op<Scalar>, Derived>,
const Derived&
>::ret ConjugateReturnType;
/** \internal the return type of MatrixBase::real() const */
typedef typename ei_meta_if<NumTraits<Scalar>::IsComplex,
const CwiseUnaryOp<ei_scalar_real_op<Scalar>, Derived>,
const Derived&
>::ret RealReturnType;
/** \internal the return type of MatrixBase::real() */
typedef typename ei_meta_if<NumTraits<Scalar>::IsComplex,
CwiseUnaryView<ei_scalar_real_op<Scalar>, Derived>,
Derived&
>::ret NonConstRealReturnType;
/** \internal the return type of MatrixBase::imag() const */
typedef CwiseUnaryOp<ei_scalar_imag_op<Scalar>, Derived> ImagReturnType;
/** \internal the return type of MatrixBase::imag() */
typedef CwiseUnaryView<ei_scalar_imag_op<Scalar>, Derived> NonConstImagReturnType;
#endif // not EIGEN_PARSED_BY_DOXYGEN
/** \returns an expression of the opposite of \c *this
*/
EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_opposite_op<typename ei_traits<Derived>::Scalar>,Derived>
operator-() const { return derived(); }
EIGEN_STRONG_INLINE Derived& operator*=(const Scalar& other)
{
SelfCwiseBinaryOp<ei_scalar_product_op<Scalar>, Derived> tmp(derived());
tmp = PlainMatrixType::Constant(rows(),cols(),other);
return derived();
}
EIGEN_STRONG_INLINE Derived& operator/=(const Scalar& other)
{
SelfCwiseBinaryOp<typename ei_meta_if<NumTraits<Scalar>::HasFloatingPoint,ei_scalar_product_op<Scalar>,ei_scalar_quotient_op<Scalar> >::ret, Derived> tmp(derived());
tmp = PlainMatrixType::Constant(rows(),cols(), NumTraits<Scalar>::HasFloatingPoint ? Scalar(1)/other : other);
return derived();
}
/** \returns an expression of \c *this scaled by the scalar factor \a scalar */
EIGEN_STRONG_INLINE const ScalarMultipleReturnType
operator*(const Scalar& scalar) const
{
return CwiseUnaryOp<ei_scalar_multiple_op<Scalar>, Derived>
(derived(), ei_scalar_multiple_op<Scalar>(scalar));
}
#ifdef EIGEN_PARSED_BY_DOXYGEN
const ScalarMultipleReturnType operator*(const RealScalar& scalar) const;
#endif
/** \returns an expression of \c *this divided by the scalar value \a scalar */
EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<Derived>::Scalar>, Derived>
operator/(const Scalar& scalar) const
{
return CwiseUnaryOp<ei_scalar_quotient1_op<Scalar>, Derived>
(derived(), ei_scalar_quotient1_op<Scalar>(scalar));
}
/** Overloaded for efficient real matrix times complex scalar value */
EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >, Derived>
operator*(const std::complex<Scalar>& scalar) const
{
return CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >, Derived>
(*static_cast<const Derived*>(this), ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >(scalar));
}
inline friend const ScalarMultipleReturnType
operator*(const Scalar& scalar, const StorageBaseType& matrix)
{ return matrix*scalar; }
inline friend const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,std::complex<Scalar> >, Derived>
operator*(const std::complex<Scalar>& scalar, const StorageBaseType& matrix)
{ return matrix*scalar; }
/** \returns an expression of *this with the \a Scalar type casted to
* \a NewScalar.
*
* The template parameter \a NewScalar is the type we are casting the scalars to.
*
* \sa class CwiseUnaryOp
*/
template<typename NewType>
typename ei_cast_return_type<Derived,const CwiseUnaryOp<ei_scalar_cast_op<typename ei_traits<Derived>::Scalar, NewType>, Derived> >::type
cast() const
{
return derived();
}
/** \returns an expression of the complex conjugate of \c *this.
*
* \sa adjoint() */
EIGEN_STRONG_INLINE ConjugateReturnType
conjugate() const
{
return ConjugateReturnType(derived());
}
/** \returns a read-only expression of the real part of \c *this.
*
* \sa imag() */
EIGEN_STRONG_INLINE RealReturnType
real() const { return derived(); }
/** \returns an read-only expression of the imaginary part of \c *this.
*
* \sa real() */
EIGEN_STRONG_INLINE const ImagReturnType
imag() const { return derived(); }
/** \returns an expression of a custom coefficient-wise unary operator \a func of *this
*
* The template parameter \a CustomUnaryOp is the type of the functor
* of the custom unary operator.
*
* Example:
* \include class_CwiseUnaryOp.cpp
* Output: \verbinclude class_CwiseUnaryOp.out
*
* \sa class CwiseUnaryOp, class CwiseBinarOp, MatrixBase::operator-, Cwise::abs
*/
template<typename CustomUnaryOp>
EIGEN_STRONG_INLINE const CwiseUnaryOp<CustomUnaryOp, Derived>
unaryExpr(const CustomUnaryOp& func = CustomUnaryOp()) const
{
return CwiseUnaryOp<CustomUnaryOp, Derived>(derived(), func);
}
/** \returns an expression of a custom coefficient-wise unary operator \a func of *this
*
* The template parameter \a CustomUnaryOp is the type of the functor
* of the custom unary operator.
*
* Example:
* \include class_CwiseUnaryOp.cpp
* Output: \verbinclude class_CwiseUnaryOp.out
*
* \sa class CwiseUnaryOp, class CwiseBinarOp, MatrixBase::operator-, Cwise::abs
*/
template<typename CustomViewOp>
EIGEN_STRONG_INLINE const CwiseUnaryView<CustomViewOp, Derived>
unaryViewExpr(const CustomViewOp& func = CustomViewOp()) const
{
return CwiseUnaryView<CustomViewOp, Derived>(derived(), func);
}
/** \returns a non const expression of the real part of \c *this.
*
* \sa imag() */
EIGEN_STRONG_INLINE NonConstRealReturnType
real() { return derived(); }
/** \returns a non const expression of the imaginary part of \c *this.
*
* \sa real() */
EIGEN_STRONG_INLINE NonConstImagReturnType
imag() { return derived(); }

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This file is a base class plugin containing matrix specifics coefficient wise functions.
/** \returns an expression of the Schur product (coefficient wise product) of *this and \a other
*
* Example: \include MatrixBase_cwiseProduct.cpp
* Output: \verbinclude MatrixBase_cwiseProduct.out
*
* \sa class CwiseBinaryOp, cwiseAbs2
*/
template<typename OtherDerived>
EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_product_op<Scalar>, Derived, OtherDerived>
cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<ei_scalar_product_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
}
/** \returns an expression of the coefficient-wise == operator of *this and \a other
*
* \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
* In order to check for equality between two vectors or matrices with floating-point coefficients, it is
* generally a far better idea to use a fuzzy comparison as provided by MatrixBase::isApprox() and
* MatrixBase::isMuchSmallerThan().
*
* Example: \include MatrixBase_cwiseEqual.cpp
* Output: \verbinclude MatrixBase_cwiseEqual.out
*
* \sa MatrixBase::cwiseNotEqual(), MatrixBase::isApprox(), MatrixBase::isMuchSmallerThan()
*/
template<typename OtherDerived>
inline const CwiseBinaryOp<std::equal_to<Scalar>, Derived, OtherDerived>
cwiseEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<std::equal_to<Scalar>, Derived, OtherDerived>(derived(), other.derived());
}
/** \returns an expression of the coefficient-wise != operator of *this and \a other
*
* \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
* In order to check for equality between two vectors or matrices with floating-point coefficients, it is
* generally a far better idea to use a fuzzy comparison as provided by MatrixBase::isApprox() and
* MatrixBase::isMuchSmallerThan().
*
* Example: \include MatrixBase_cwiseNotEqual.cpp
* Output: \verbinclude MatrixBase_cwiseNotEqual.out
*
* \sa MatrixBase::cwiseEqual(), MatrixBase::isApprox(), MatrixBase::isMuchSmallerThan()
*/
template<typename OtherDerived>
inline const CwiseBinaryOp<std::not_equal_to<Scalar>, Derived, OtherDerived>
cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<std::not_equal_to<Scalar>, Derived, OtherDerived>(derived(), other.derived());
}
/** \returns an expression of the coefficient-wise min of *this and \a other
*
* Example: \include MatrixBase_cwiseMin.cpp
* Output: \verbinclude MatrixBase_cwiseMin.out
*
* \sa class CwiseBinaryOp, max()
*/
template<typename OtherDerived>
EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_min_op<Scalar>, Derived, OtherDerived>
cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<ei_scalar_min_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
}
/** \returns an expression of the coefficient-wise max of *this and \a other
*
* Example: \include MatrixBase_cwiseMax.cpp
* Output: \verbinclude MatrixBase_cwiseMax.out
*
* \sa class CwiseBinaryOp, min()
*/
template<typename OtherDerived>
EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_max_op<Scalar>, Derived, OtherDerived>
cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<ei_scalar_max_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
}
/** \returns an expression of the coefficient-wise quotient of *this and \a other
*
* Example: \include MatrixBase_cwiseQuotient.cpp
* Output: \verbinclude MatrixBase_cwiseQuotient.out
*
* \sa class CwiseBinaryOp, cwiseProduct(), cwiseInverse()
*/
template<typename OtherDerived>
EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_quotient_op<Scalar>, Derived, OtherDerived>
cwiseQuotient(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
{
return CwiseBinaryOp<ei_scalar_quotient_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
}

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This file is a base class plugin containing matrix specifics coefficient wise functions.
/** \returns an expression of the coefficient-wise absolute value of \c *this
*
* Example: \include MatrixBase_cwiseAbs.cpp
* Output: \verbinclude MatrixBase_cwiseAbs.out
*
* \sa cwiseAbs2()
*/
EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_abs_op<Scalar>,Derived>
cwiseAbs() const { return derived(); }
/** \returns an expression of the coefficient-wise squared absolute value of \c *this
*
* Example: \include MatrixBase_cwiseAbs2.cpp
* Output: \verbinclude MatrixBase_cwiseAbs2.out
*
* \sa cwiseAbs()
*/
EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_abs2_op<Scalar>,Derived>
cwiseAbs2() const { return derived(); }
/** \returns an expression of the coefficient-wise square root of *this.
*
* Example: \include MatrixBase_cwiseSqrt.cpp
* Output: \verbinclude MatrixBase_cwiseSqrt.out
*
* \sa cwisePow(), cwiseSquare()
*/
inline const CwiseUnaryOp<ei_scalar_sqrt_op<Scalar>,Derived>
cwiseSqrt() const { return derived(); }
/** \returns an expression of the coefficient-wise inverse of *this.
*
* Example: \include MatrixBase_cwiseInverse.cpp
* Output: \verbinclude MatrixBase_cwiseInverse.out
*
* \sa cwiseProduct()
*/
inline const CwiseUnaryOp<ei_scalar_inverse_op<Scalar>,Derived>
cwiseInverse() const { return derived(); }
/** \returns an expression of the coefficient-wise == operator of \c *this and a scalar \a s
*
* \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
* In order to check for equality between two vectors or matrices with floating-point coefficients, it is
* generally a far better idea to use a fuzzy comparison as provided by MatrixBase::isApprox() and
* MatrixBase::isMuchSmallerThan().
*
* \sa cwiseEqual(const MatrixBase<OtherDerived> &) const
*/
inline const CwiseUnaryOp<std::binder1st<std::equal_to<Scalar> >,Derived>
cwiseEqual(Scalar s) const
{
return CwiseUnaryOp<std::binder1st<std::equal_to<Scalar> >,Derived>
(derived(), std::bind1st(std::equal_to<Scalar>(), s));
}