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// Copyright (C) 2006-2011 Garth N. Wells
//
// This file is part of DOLFIN.
//
// DOLFIN 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.
//
// DOLFIN 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 for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with DOLFIN. If not, see <http://www.gnu.org/licenses/>.
//
// Modified by Johan Jansson 2006
// Modified by Anders Logg 2006-2012
// Modified by Ola Skavhaug 2007-2008
// Modified by Kent-Andre Mardal 2008
// Modified by Martin Alnæs 2008
// Modified by Mikael Mortensen 2011
//
// First added:  2006-04-24
// Last changed: 2012-08-20

#ifndef __GENERIC_MATRIX_H
#define __GENERIC_MATRIX_H

#include <vector>
#include <boost/tuple/tuple.hpp>
#include "GenericTensor.h"
#include "GenericLinearOperator.h"

namespace dolfin
{

  class GenericVector;
  class TensorLayout;

  /// This class defines a common interface for matrices.

  class GenericMatrix : public GenericTensor, public GenericLinearOperator
  {
  public:

    /// Destructor
    virtual ~GenericMatrix() {}

    //--- Implementation of the GenericTensor interface ---

    /// Return tensor rank (number of dimensions)
    virtual std::size_t rank() const
    { return 2; }

    /// Return size of given dimension
    virtual std::size_t size(std::size_t dim) const = 0;

    /// Return local ownership range
    virtual std::pair<std::size_t, std::size_t>
      local_range(std::size_t dim) const = 0;

    /// Get block of values
    virtual void get(double* block, const dolfin::la_index* num_rows,
                     const dolfin::la_index * const * rows) const
    { get(block, num_rows[0], rows[0], num_rows[1], rows[1]); }

    /// Set block of values
    virtual void set(const double* block, const dolfin::la_index* num_rows,
                     const dolfin::la_index * const * rows)
    { set(block, num_rows[0], rows[0], num_rows[1], rows[1]); }

    /// Add block of values
    virtual void add(const double* block, const dolfin::la_index* num_rows,
                     const dolfin::la_index * const * rows)
    { add(block, num_rows[0], rows[0], num_rows[1], rows[1]); }

    /// Add block of values
    virtual void
      add(const double* block,
          const std::vector<const std::vector<dolfin::la_index>* >& rows)
    {
      add(block, (rows[0])->size(), &(*rows[0])[0], (rows[1])->size(),
          &(*rows[1])[0]);
    }

    /// Add block of values
    virtual void add(const double* block,
                     const std::vector<std::vector<dolfin::la_index> >& rows)
    {
      add(block, rows[0].size(), &(rows[0])[0], rows[1].size(),
          &(rows[1])[0]);
    }

    /// Set all entries to zero and keep any sparse structure
    virtual void zero() = 0;

    /// Finalize assembly of tensor
    virtual void apply(std::string mode) = 0;

    /// Return informal string representation (pretty-print)
    virtual std::string str(bool verbose) const = 0;

    //--- Matrix interface ---

    /// Return copy of matrix
    virtual std::shared_ptr<GenericMatrix> copy() const = 0;

    /// Initialize vector z to be compatible with the matrix-vector
    /// product y = Ax. In the parallel case, both size and layout are
    /// important.
    ///
    /// *Arguments*
    ///     dim (std::size_t)
    ///         The dimension (axis): dim = 0 --> z = y, dim = 1 --> z = x
    virtual void init_vector(GenericVector& z, std::size_t dim) const = 0;

    /// Get block of values
    virtual void get(double* block,
                     std::size_t m, const dolfin::la_index* rows,
                     std::size_t n, const dolfin::la_index* cols) const = 0;

    /// Set block of values
    virtual void set(const double* block,
                     std::size_t m, const dolfin::la_index* rows,
                     std::size_t n, const dolfin::la_index* cols) = 0;

    /// Add block of values
    virtual void add(const double* block,
                     std::size_t m, const dolfin::la_index* rows,
                     std::size_t n, const dolfin::la_index* cols) = 0;

    /// Add multiple of given matrix (AXPY operation)
    virtual void axpy(double a, const GenericMatrix& A,
                      bool same_nonzero_pattern) = 0;

    /// Return norm of matrix
    virtual double norm(std::string norm_type) const = 0;

    /// Get non-zero values of given row on local process
    virtual void getrow(std::size_t row, std::vector<std::size_t>& columns,
                        std::vector<double>& values) const = 0;

    /// Set values for given row on local process
    virtual void setrow(std::size_t row,
                        const std::vector<std::size_t>& columns,
                        const std::vector<double>& values) = 0;

    /// Set given rows to zero
    virtual void zero(std::size_t m, const dolfin::la_index* rows) = 0;

    /// Set given rows to identity matrix
    virtual void ident(std::size_t m, const dolfin::la_index* rows) = 0;

    /// Matrix-vector product, y = A^T x. The y vector must either be
    /// zero-sized or have correct size and parallel layout.
    virtual void transpmult(const GenericVector& x, GenericVector& y) const = 0;

    /// Set diagonal of a matrix
    virtual void set_diagonal(const GenericVector& x) = 0;

    /// Multiply matrix by given number
    virtual const GenericMatrix& operator*= (double a) = 0;

    /// Divide matrix by given number
    virtual const GenericMatrix& operator/= (double a) = 0;

    /// Add given matrix
    const GenericMatrix& operator+= (const GenericMatrix& A)
    {
      axpy(1.0, A, false);
      return *this;
    }

    /// Subtract given matrix
    const GenericMatrix& operator-= (const GenericMatrix& A)
    {
      axpy(-1.0, A, false);
      return *this;
    }

    /// Test if matrix is symmetric
    virtual bool is_symmetric(double tol) const
    {
      dolfin_error("GenericMatrix.h",
                   "test if matrix is symmetric",
                   "Not implemented by current linear algebra backend");
      return false;
    }

    /// Assignment operator
    virtual const GenericMatrix& operator= (const GenericMatrix& x) = 0;

    /// Return pointers to underlying compresssed row/column storage data
    /// For compressed row storage, data = (row_pointer[#rows +1],
    /// column_index[#nz], matrix_values[#nz], nz)
    virtual boost::tuples::tuple<const std::size_t*, const std::size_t*,
                                 const double*, int> data() const
    {
      dolfin_error("GenericMatrix.h",
                   "return pointers to underlying matrix data",
                   "Not implemented by current linear algebra backend");
      return boost::tuples::tuple<const std::size_t*, const std::size_t*,
                                  const double*, int>(0, 0, 0, 0);
   }

    //--- Convenience functions ---

    /// Get value of given entry
    virtual double operator() (dolfin::la_index i, dolfin::la_index j) const
    { double value(0); get(&value, 1, &i, 1, &j); return value; }

    /// Get value of given entry
    virtual double getitem(std::pair<dolfin::la_index,
                           dolfin::la_index> ij) const
    {
      double value(0);
      get(&value, 1, &ij.first, 1, &ij.second);
      return value;
    }

    /// Set given entry to value. apply("insert") must be called
    /// before using using the object.
    virtual void setitem(std::pair<dolfin::la_index, dolfin::la_index> ij,
                         double value)
    {  set(&value, 1, &ij.first, 1, &ij.second); }

    /// Insert one on the diagonal for all zero rows
    virtual void ident_zeros();

    /// Build compressed version of matrix (zeros removed)
    virtual void compressed(GenericMatrix& B) const;

  };

}

#endif