view liboctave/chNDArray.cc @ 8987:542015fada9e

Eliminate the workspace in sparse transpose. The output's cidx (column start offset array) can serve as the workspace, so the routines operate in the space of their output.
author Jason Riedy <jason@acm.org>
date Mon, 16 Mar 2009 17:03:07 -0400
parents eb63fbe60fab
children 8145f2255276
line wrap: on
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// N-D Array  manipulations.
/*

Copyright (C) 2003, 2004, 2005, 2006, 2007, 2008, 2009 John W. Eaton

This file is part of Octave.

Octave is free software; 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 3 of the License, or (at your
option) any later version.

Octave 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 General Public License
for more details.

You should have received a copy of the GNU General Public License
along with Octave; see the file COPYING.  If not, see
<http://www.gnu.org/licenses/>.

*/

#ifdef HAVE_CONFIG_H
#include <config.h>
#endif

#include "Array-util.h"
#include "chNDArray.h"
#include "mx-base.h"
#include "lo-ieee.h"
#include "lo-mappers.h"
#include "mx-op-defs.h"

// FIXME -- this is not quite the right thing.

boolNDArray
charNDArray::all (int dim) const
{
  return do_mx_red_op<boolMatrix> (*this, dim, mx_inline_all);
}

boolNDArray
charNDArray::any (int dim) const
{
  return do_mx_red_op<boolMatrix> (*this, dim, mx_inline_any);
}

charNDArray
charNDArray::concat (const charNDArray& rb, const Array<octave_idx_type>& ra_idx)
{
  if (rb.numel () > 0)
    insert (rb, ra_idx);
  return *this;
}

charNDArray
charNDArray::concat (const NDArray& rb, const Array<octave_idx_type>& ra_idx)
{
  charNDArray tmp (rb.dims ());
  octave_idx_type nel = rb.numel ();

  if (rb.numel () == 0)
    return *this;

  for (octave_idx_type i = 0; i < nel; i++)
    {
      double d = rb.elem (i);

      if (xisnan (d))
	{
	  (*current_liboctave_error_handler)
	    ("invalid conversion from NaN to character");
	  return *this;
	}
      else
	{
	  octave_idx_type ival = NINTbig (d);

	  if (ival < 0 || ival > UCHAR_MAX)
	    // FIXME -- is there something
	    // better we could do? Should we warn the user?
	    ival = 0;

	  tmp.elem (i) = static_cast<char>(ival);
	}
    }

  insert (tmp, ra_idx);
  return *this;
}

charNDArray&
charNDArray::insert (const charNDArray& a, octave_idx_type r, octave_idx_type c)
{
  Array<char>::insert (a, r, c);
  return *this;
}

charNDArray&
charNDArray::insert (const charNDArray& a, const Array<octave_idx_type>& ra_idx)
{
  Array<char>::insert (a, ra_idx);
  return *this;
}

charMatrix
charNDArray::matrix_value (void) const
{
  charMatrix retval;

  int nd = ndims ();

  switch (nd)
    {
    case 1:
      retval = charMatrix (Array2<char> (*this, dimensions(0), 1));
      break;

    case 2:
      retval = charMatrix (Array2<char> (*this, dimensions(0),
					       dimensions(1)));
      break;

    default:
      (*current_liboctave_error_handler)
	("invalid conversion of charNDArray to charMatrix");
      break;
    }

  return retval;
}

void
charNDArray::increment_index (Array<octave_idx_type>& ra_idx,
			      const dim_vector& dimensions,
			      int start_dimension)
{
  ::increment_index (ra_idx, dimensions, start_dimension);
}

octave_idx_type 
charNDArray::compute_index (Array<octave_idx_type>& ra_idx,
			    const dim_vector& dimensions)
{
  return ::compute_index (ra_idx, dimensions);
}

charNDArray
charNDArray::diag (octave_idx_type k) const
{
  return MArrayN<char>::diag (k);
}

boolNDArray
charNDArray::bmap (mapper fcn) const
{
  octave_idx_type len = length ();
  const char *m = fortran_vec();
  boolNDArray result (dims ());
  bool *p = result.fortran_vec ();

  for (octave_idx_type i = 0; i < len; i++)
    {
      OCTAVE_QUIT;

      p[i] = bool (fcn (m[i]));
    }

  return result;
}

NDArray
charNDArray::dmap (mapper fcn) const
{
  octave_idx_type len = length ();
  const char *m = fortran_vec();
  NDArray result (dims ());
  double *p = result.fortran_vec ();

  for (octave_idx_type i = 0; i < len; i++)
    {
      OCTAVE_QUIT;

      p[i] = fcn (m[i]);
    }

  return result;
}

charNDArray
charNDArray::smap (mapper fcn) const
{
  octave_idx_type len = length ();
  const char *m = fortran_vec();
  charNDArray result (dims ());
  char *p = result.fortran_vec ();

  for (octave_idx_type i = 0; i < len; i++)
    {
      OCTAVE_QUIT;

      p[i] = fcn (m[i]);
    }

  return result;
}

NDS_CMP_OPS(charNDArray, , char, )
NDS_BOOL_OPS(charNDArray, char, 0)

SND_CMP_OPS(char, , charNDArray, )
SND_BOOL_OPS(char, charNDArray, 0)

NDND_CMP_OPS(charNDArray, , charNDArray, )
NDND_BOOL_OPS(charNDArray, charNDArray, 0)

/*
;;; Local Variables: ***
;;; mode: C++ ***
;;; End: ***
*/