// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
//
// 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/>.

#ifndef EIGEN_MAP_H
#define EIGEN_MAP_H

/** \class Map
  *
  * \brief A matrix or vector expression mapping an existing array of data.
  *
  * \param MatrixType the equivalent matrix type of the mapped data
  * \param _PacketAccess allows to enforce aligned loads and stores if set to ForceAligned.
  *                      The default is AsRequested. This parameter is internaly used by Eigen
  *                      in expressions such as \code Map<...>(...) += other; \endcode and most
  *                      of the time this is the only way it is used.
  *
  * This class represents a matrix or vector expression mapping an existing array of data.
  * It can be used to let Eigen interface without any overhead with non-Eigen data structures,
  * such as plain C arrays or structures from other libraries.
  *
  * This class is the return type of Matrix::map() but can also be used directly.
  *
  * \sa Matrix::map()
  */
template<typename MatrixType, int _PacketAccess>
struct ei_traits<Map<MatrixType, _PacketAccess> > : public ei_traits<MatrixType>
{
  enum {
    PacketAccess = _PacketAccess,
    Flags = ei_traits<MatrixType>::Flags & ~AlignedBit
  };
  typedef typename ei_meta_if<int(PacketAccess)==ForceAligned,
                              Map<MatrixType, _PacketAccess>&,
                              Map<MatrixType, ForceAligned> >::ret AlignedDerivedType;
};

template<typename MatrixType, int PacketAccess> class Map
  : public MapBase<Map<MatrixType, PacketAccess> >
{
  public:

    _EIGEN_GENERIC_PUBLIC_INTERFACE(Map, MapBase<Map>)
    typedef typename ei_traits<Map>::AlignedDerivedType AlignedDerivedType;

    inline int stride() const { return this->innerSize(); }

    AlignedDerivedType forceAligned()
    {
      if (PacketAccess==ForceAligned)
        return *this;
      else
        return Map<MatrixType,ForceAligned>(Base::m_data, Base::m_rows.value(), Base::m_cols.value());
    }

    inline Map(const Scalar* data) : Base(data) {}

    inline Map(const Scalar* data, int size) : Base(data, size) {}

    inline Map(const Scalar* data, int rows, int cols) : Base(data, rows, cols) {}

    inline void resize(int rows, int cols)
    {
      EIGEN_ONLY_USED_FOR_DEBUG(rows);
      EIGEN_ONLY_USED_FOR_DEBUG(cols);
      ei_assert(rows == this->rows());
      ei_assert(rows == this->cols());
    }

    inline void resize(int size)
    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatrixType);
      EIGEN_ONLY_USED_FOR_DEBUG(size);
      ei_assert(size == this->size());
    }

    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
};

/** Constructor copying an existing array of data.
  * Only for fixed-size matrices and vectors.
  * \param data The array of data to copy
  *
  * For dynamic-size matrices and vectors, see the variants taking additional int parameters
  * for the dimensions.
  *
  * \sa Matrix(const Scalar *, int), Matrix(const Scalar *, int, int),
  * Matrix::map(const Scalar *)
  */
template<typename _Scalar, int _Rows, int _Cols, int _StorageOrder, int _MaxRows, int _MaxCols>
inline Matrix<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols>
  ::Matrix(const Scalar *data)
{
  *this = Map<Matrix>(data);
}

#endif // EIGEN_MAP_H