Replicate.h

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009-2010 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_REPLICATE_H
#define EIGEN_REPLICATE_H
 
namespace Eigen { 

 
namespace internal {
template<typename MatrixType,int RowFactor,int ColFactor>
struct traits<Replicate<MatrixType,RowFactor,ColFactor> >
 : traits<MatrixType>
{
  typedef typename MatrixType::Scalar Scalar;
  typedef typename traits<MatrixType>::StorageKind StorageKind;
  typedef typename traits<MatrixType>::XprKind XprKind;
  enum {
    Factor = (RowFactor==Dynamic || ColFactor==Dynamic) ? Dynamic : RowFactor*ColFactor
  };
  typedef typename nested<MatrixType,Factor>::type MatrixTypeNested;
  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
  enum {
    RowsAtCompileTime = RowFactor==Dynamic || int(MatrixType::RowsAtCompileTime)==Dynamic
                      ? Dynamic
                      : RowFactor * MatrixType::RowsAtCompileTime,
    ColsAtCompileTime = ColFactor==Dynamic || int(MatrixType::ColsAtCompileTime)==Dynamic
                      ? Dynamic
                      : ColFactor * MatrixType::ColsAtCompileTime,
   //FIXME we don't propagate the max sizes !!!
    MaxRowsAtCompileTime = RowsAtCompileTime,
    MaxColsAtCompileTime = ColsAtCompileTime,
    IsRowMajor = MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1 ? 1
               : MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1 ? 0
               : (MatrixType::Flags & RowMajorBit) ? 1 : 0,
    Flags = (_MatrixTypeNested::Flags & HereditaryBits & ~RowMajorBit) | (IsRowMajor ? RowMajorBit : 0),
    CoeffReadCost = _MatrixTypeNested::CoeffReadCost
  };
};
}
 
template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
  : public internal::dense_xpr_base< Replicate<MatrixType,RowFactor,ColFactor> >::type
{
    typedef typename internal::traits<Replicate>::MatrixTypeNested MatrixTypeNested;
    typedef typename internal::traits<Replicate>::_MatrixTypeNested _MatrixTypeNested;
  public:
 
    typedef typename internal::dense_xpr_base<Replicate>::type Base;
    EIGEN_DENSE_PUBLIC_INTERFACE(Replicate)
 
    template<typename OriginalMatrixType>
    inline explicit Replicate(const OriginalMatrixType& matrix)
      : m_matrix(matrix), m_rowFactor(RowFactor), m_colFactor(ColFactor)
    {
      EIGEN_STATIC_ASSERT((internal::is_same<typename internal::remove_const<MatrixType>::type,OriginalMatrixType>::value),
                          THE_MATRIX_OR_EXPRESSION_THAT_YOU_PASSED_DOES_NOT_HAVE_THE_EXPECTED_TYPE)
      eigen_assert(RowFactor!=Dynamic && ColFactor!=Dynamic);
    }
 
    template<typename OriginalMatrixType>
    inline Replicate(const OriginalMatrixType& matrix, Index rowFactor, Index colFactor)
      : m_matrix(matrix), m_rowFactor(rowFactor), m_colFactor(colFactor)
    {
      EIGEN_STATIC_ASSERT((internal::is_same<typename internal::remove_const<MatrixType>::type,OriginalMatrixType>::value),
                          THE_MATRIX_OR_EXPRESSION_THAT_YOU_PASSED_DOES_NOT_HAVE_THE_EXPECTED_TYPE)
    }
 
    inline Index rows() const { return m_matrix.rows() * m_rowFactor.value(); }
    inline Index cols() const { return m_matrix.cols() * m_colFactor.value(); }
 
    inline Scalar coeff(Index row, Index col) const
    {
      // try to avoid using modulo; this is a pure optimization strategy
      const Index actual_row  = internal::traits<MatrixType>::RowsAtCompileTime==1 ? 0
                            : RowFactor==1 ? row
                            : row%m_matrix.rows();
      const Index actual_col  = internal::traits<MatrixType>::ColsAtCompileTime==1 ? 0
                            : ColFactor==1 ? col
                            : col%m_matrix.cols();
 
      return m_matrix.coeff(actual_row, actual_col);
    }
    template<int LoadMode>
    inline PacketScalar packet(Index row, Index col) const
    {
      const Index actual_row  = internal::traits<MatrixType>::RowsAtCompileTime==1 ? 0
                            : RowFactor==1 ? row
                            : row%m_matrix.rows();
      const Index actual_col  = internal::traits<MatrixType>::ColsAtCompileTime==1 ? 0
                            : ColFactor==1 ? col
                            : col%m_matrix.cols();
 
      return m_matrix.template packet<LoadMode>(actual_row, actual_col);
    }
 
    const _MatrixTypeNested& nestedExpression() const
    { 
      return m_matrix; 
    }
 
  protected:
    MatrixTypeNested m_matrix;
    const internal::variable_if_dynamic<Index, RowFactor> m_rowFactor;
    const internal::variable_if_dynamic<Index, ColFactor> m_colFactor;
};

template<typename Derived>
template<int RowFactor, int ColFactor>
inline const Replicate<Derived,RowFactor,ColFactor>
DenseBase<Derived>::replicate() const
{
  return Replicate<Derived,RowFactor,ColFactor>(derived());
}

template<typename Derived>
inline const Replicate<Derived,Dynamic,Dynamic>
DenseBase<Derived>::replicate(Index rowFactor,Index colFactor) const
{
  return Replicate<Derived,Dynamic,Dynamic>(derived(),rowFactor,colFactor);
}

template<typename ExpressionType, int Direction>
const typename VectorwiseOp<ExpressionType,Direction>::ReplicateReturnType
VectorwiseOp<ExpressionType,Direction>::replicate(Index factor) const
{
  return typename VectorwiseOp<ExpressionType,Direction>::ReplicateReturnType
          (_expression(),Direction==Vertical?factor:1,Direction==Horizontal?factor:1);
}
 
} // end namespace Eigen
 
#endif // EIGEN_REPLICATE_H