// Template array classes
/*

Copyright (C) 1996, 1997 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 2, 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, write to the Free
Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
02110-1301, USA.

*/

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

#include <cassert>
#include <climits>

#include <iostream>
#include <sstream>
#include <vector>
#include <new>

#include "Array.h"
#include "Array-util.h"
#include "Range.h"
#include "idx-vector.h"
#include "lo-error.h"

// One dimensional array class.  Handles the reference counting for
// all the derived classes.

template <class T>
Array<T>::Array (const Array<T>& a, const dim_vector& dv)
  : rep (a.rep), dimensions (dv), idx (0), idx_count (0)
{
  rep->count++;

  if (a.numel () < dv.numel ())
    (*current_liboctave_error_handler)
      ("Array::Array (const Array&, const dim_vector&): dimension mismatch");
}

template <class T>
Array<T>::~Array (void)
{
  if (--rep->count <= 0)
    delete rep;

  delete [] idx;
}

template <class T>
Array<T>
Array<T>::squeeze (void) const
{
  Array<T> retval = *this;

  if (ndims () > 2)
    {
      bool dims_changed = false;

      dim_vector new_dimensions = dimensions;

      int k = 0;

      for (int i = 0; i < ndims (); i++)
	{
	  if (dimensions(i) == 1)
	    dims_changed = true;
	  else
	    new_dimensions(k++) = dimensions(i);
	}

      if (dims_changed)
	{
	  switch (k)
	    {
	    case 0:
	      new_dimensions = dim_vector (1, 1);
	      break;

	    case 1:
	      {
		octave_idx_type tmp = new_dimensions(0);

		new_dimensions.resize (2);

		new_dimensions(0) = tmp;
		new_dimensions(1) = 1;
	      }
	      break;

	    default:
	      new_dimensions.resize (k);
	      break;
	    }
	}

      // FIXME -- it would be better if we did not have to do
      // this, so we could share the data while still having different
      // dimension vectors.

      retval.make_unique ();

      retval.dimensions = new_dimensions;
    }

  return retval;
}

// KLUGE

// The following get_size functions will throw a std::bad_alloc ()
// exception if the requested size is larger than can be indexed by
// octave_idx_type.  This may be smaller than the actual amount of
// memory that can be safely allocated on a system.  However, if we
// don't fail here, we can end up with a mysterious crash inside a
// function that is iterating over an array using octave_idx_type
// indices.

// A guess (should be quite conservative).
#define MALLOC_OVERHEAD 1024

template <class T>
octave_idx_type
Array<T>::get_size (octave_idx_type r, octave_idx_type c)
{
  static int nl;
  static double dl
    = frexp (static_cast<double> 
	(std::numeric_limits<octave_idx_type>::max() - MALLOC_OVERHEAD) / sizeof (T), &nl);

  int nr, nc;
  double dr = frexp (static_cast<double> (r), &nr);   // r = dr * 2^nr
  double dc = frexp (static_cast<double> (c), &nc);   // c = dc * 2^nc

  int nt = nr + nc;
  double dt = dr * dc;

  if (dt < 0.5)
    {
      nt--;
      dt *= 2;
    }

  if (nt < nl || (nt == nl && dt < dl))
    return r * c;
  else
    {
      throw std::bad_alloc ();
      return 0;
    }
}

template <class T>
octave_idx_type
Array<T>::get_size (octave_idx_type r, octave_idx_type c, octave_idx_type p)
{
  static int nl;
  static double dl
    = frexp (static_cast<double>
	(std::numeric_limits<octave_idx_type>::max() - MALLOC_OVERHEAD) / sizeof (T), &nl);

  int nr, nc, np;
  double dr = frexp (static_cast<double> (r), &nr);
  double dc = frexp (static_cast<double> (c), &nc);
  double dp = frexp (static_cast<double> (p), &np);

  int nt = nr + nc + np;
  double dt = dr * dc * dp;

  if (dt < 0.5)
    {
      nt--;
      dt *= 2;

      if (dt < 0.5)
	{
	  nt--;
	  dt *= 2;
	}
    }

  if (nt < nl || (nt == nl && dt < dl))
    return r * c * p;
  else
    {
      throw std::bad_alloc ();
      return 0;
    }
}

template <class T>
octave_idx_type
Array<T>::get_size (const dim_vector& ra_idx)
{
  static int nl;
  static double dl
    = frexp (static_cast<double>
	(std::numeric_limits<octave_idx_type>::max() - MALLOC_OVERHEAD) / sizeof (T), &nl);

  int n = ra_idx.length ();

  int nt = 0;
  double dt = 1;

  for (int i = 0; i < n; i++)
    {
      int nra_idx;
      double dra_idx = frexp (static_cast<double> (ra_idx(i)), &nra_idx);

      nt += nra_idx;
      dt *= dra_idx;

      if (dt < 0.5)
	{
	  nt--;
	  dt *= 2;
	}
    }

  if (nt < nl || (nt == nl && dt < dl))
    {
      octave_idx_type retval = 1;

      for (int i = 0; i < n; i++)
	retval *= ra_idx(i);

      return retval;
    }
  else
    {
      throw std::bad_alloc ();
      return 0;
    }
}

#undef MALLOC_OVERHEAD

template <class T>
octave_idx_type
Array<T>::compute_index (const Array<octave_idx_type>& ra_idx) const
{
  octave_idx_type retval = -1;

  int n = dimensions.length ();

  if (n > 0 && n == ra_idx.length ())
    {
      retval = ra_idx(--n);

      while (--n >= 0)
	{
	  retval *= dimensions(n);
	  retval += ra_idx(n);
	}
    }
  else
    (*current_liboctave_error_handler)
      ("Array<T>::compute_index: invalid ra_idxing operation");

  return retval;
}

template <class T>
T
Array<T>::range_error (const char *fcn, octave_idx_type n) const
{
  (*current_liboctave_error_handler) ("%s (%d): range error", fcn, n);
  return T ();
}

template <class T>
T&
Array<T>::range_error (const char *fcn, octave_idx_type n)
{
  (*current_liboctave_error_handler) ("%s (%d): range error", fcn, n);
  static T foo;
  return foo;
}

template <class T>
T
Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j) const
{
  (*current_liboctave_error_handler)
    ("%s (%d, %d): range error", fcn, i, j);
  return T ();
}

template <class T>
T&
Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j)
{
  (*current_liboctave_error_handler)
    ("%s (%d, %d): range error", fcn, i, j);
  static T foo;
  return foo;
}

template <class T>
T
Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j, octave_idx_type k) const
{
  (*current_liboctave_error_handler)
    ("%s (%d, %d, %d): range error", fcn, i, j, k);
  return T ();
}

template <class T>
T&
Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j, octave_idx_type k)
{
  (*current_liboctave_error_handler)
    ("%s (%d, %d, %d): range error", fcn, i, j, k);
  static T foo;
  return foo;
}

template <class T>
T
Array<T>::range_error (const char *fcn, const Array<octave_idx_type>& ra_idx) const
{
  std::ostringstream buf;

  buf << fcn << " (";

  octave_idx_type n = ra_idx.length ();

  if (n > 0)
    buf << ra_idx(0);

  for (octave_idx_type i = 1; i < n; i++)
    buf << ", " << ra_idx(i);

  buf << "): range error";

  std::string buf_str = buf.str ();

  (*current_liboctave_error_handler) (buf_str.c_str ());

  return T ();
}

template <class T>
T&
Array<T>::range_error (const char *fcn, const Array<octave_idx_type>& ra_idx)
{
  std::ostringstream buf;

  buf << fcn << " (";

  octave_idx_type n = ra_idx.length ();

  if (n > 0)
    buf << ra_idx(0);

  for (octave_idx_type i = 1; i < n; i++)
    buf << ", " << ra_idx(i);

  buf << "): range error";

  std::string buf_str = buf.str ();

  (*current_liboctave_error_handler) (buf_str.c_str ());

  static T foo;
  return foo;
}

template <class T>
Array<T>
Array<T>::reshape (const dim_vector& new_dims) const
{
  Array<T> retval;

  if (dimensions != new_dims)
    {
      if (dimensions.numel () == new_dims.numel ())
	retval = Array<T> (*this, new_dims);
      else
	(*current_liboctave_error_handler) ("reshape: size mismatch");
    }
  else
    retval = *this;

  return retval;
}

struct
permute_vector
{
  octave_idx_type pidx;
  octave_idx_type iidx;
};

static int
permute_vector_compare (const void *a, const void *b)
{
  const permute_vector *pva = static_cast<const permute_vector *> (a);
  const permute_vector *pvb = static_cast<const permute_vector *> (b);

  return pva->pidx > pvb->pidx;
}

template <class T>
Array<T>
Array<T>::permute (const Array<octave_idx_type>& perm_vec_arg, bool inv) const
{
  Array<T> retval;

  Array<octave_idx_type> perm_vec = perm_vec_arg;

  dim_vector dv = dims ();
  dim_vector dv_new;

  int perm_vec_len = perm_vec.length ();

  if (perm_vec_len < dv.length ())
    (*current_liboctave_error_handler)
      ("%s: invalid permutation vector", inv ? "ipermute" : "permute");

  dv_new.resize (perm_vec_len);

  // Append singleton dimensions as needed.
  dv.resize (perm_vec_len, 1);

  // Need this array to check for identical elements in permutation array.
  Array<bool> checked (perm_vec_len, false);

  // Find dimension vector of permuted array.
  for (int i = 0; i < perm_vec_len; i++)
    {
      octave_idx_type perm_elt = perm_vec.elem (i);

      if (perm_elt >= perm_vec_len || perm_elt < 0)
	{
	  (*current_liboctave_error_handler)
	    ("%s: permutation vector contains an invalid element",
	     inv ? "ipermute" : "permute");

	  return retval;
	}

      if (checked.elem(perm_elt))
	{
	  (*current_liboctave_error_handler)
	    ("%s: permutation vector cannot contain identical elements",
	     inv ? "ipermute" : "permute");

	  return retval;
	}
      else
	checked.elem(perm_elt) = true;

      dv_new(i) = dv(perm_elt);
    }

  int nd = dv.length ();

  // FIXME -- it would be nice to have a sort method in the
  // Array class that also returns the sort indices.

  if (inv)
    {
      OCTAVE_LOCAL_BUFFER (permute_vector, pvec, nd);

      for (int i = 0; i < nd; i++)
	{
	  pvec[i].pidx = perm_vec(i);
	  pvec[i].iidx = i;
	}

      octave_qsort (pvec, static_cast<size_t> (nd),
		    sizeof (permute_vector), permute_vector_compare);

      for (int i = 0; i < nd; i++)
	{
	  perm_vec(i) = pvec[i].iidx;
	  dv_new(i) = dv(perm_vec(i));
	}
    }

  retval.resize (dv_new);

  if (numel () > 0)
    {
      Array<octave_idx_type> cp (nd+1, 1);
      for (octave_idx_type i = 1; i < nd+1; i++)
	cp(i) = cp(i-1) * dv(i-1);

      octave_idx_type incr = cp(perm_vec(0));

      Array<octave_idx_type> base_delta (nd-1, 0);
      Array<octave_idx_type> base_delta_max (nd-1);
      Array<octave_idx_type> base_incr (nd-1);
      for (octave_idx_type i = 0; i < nd-1; i++)
	{
	  base_delta_max(i) = dv_new(i+1);
	  base_incr(i) = cp(perm_vec(i+1));
	}

      octave_idx_type nr_new = dv_new(0);
      octave_idx_type nel_new = dv_new.numel ();
      octave_idx_type n = nel_new / nr_new;

      octave_idx_type k = 0;

      for (octave_idx_type i = 0; i < n; i++)
	{
	  octave_idx_type iidx = 0;
	  for (octave_idx_type kk = 0; kk < nd-1; kk++)
	    iidx += base_delta(kk) * base_incr(kk);

	  for (octave_idx_type j = 0; j < nr_new; j++)
	    {
	      OCTAVE_QUIT;

	      retval(k++) = elem(iidx);
	      iidx += incr;
	    }

	  base_delta(0)++;

	  for (octave_idx_type kk = 0; kk < nd-2; kk++)
	    {
	      if (base_delta(kk) == base_delta_max(kk))
		{
		  base_delta(kk) = 0;
		  base_delta(kk+1)++;
		}
	    }
	}
    }

  retval.chop_trailing_singletons ();

  return retval;
}

template <class T>
void
Array<T>::resize_no_fill (octave_idx_type n)
{
  if (n < 0)
    {
      (*current_liboctave_error_handler)
	("can't resize to negative dimension");
      return;
    }

  if (n == length ())
    return;

  typename Array<T>::ArrayRep *old_rep = rep;
  const T *old_data = data ();
  octave_idx_type old_len = length ();

  rep = new typename Array<T>::ArrayRep (n);

  dimensions = dim_vector (n);

  if (n > 0 && old_data && old_len > 0)
    {
      octave_idx_type min_len = old_len < n ? old_len : n;

      for (octave_idx_type i = 0; i < min_len; i++)
	xelem (i) = old_data[i];
    }

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
void
Array<T>::resize_no_fill (const dim_vector& dv)
{
  octave_idx_type n = dv.length ();

  for (octave_idx_type i = 0; i < n; i++)
    {
      if (dv(i) < 0)
	{
	  (*current_liboctave_error_handler)
	    ("can't resize to negative dimension");
	  return;
	}
    }

  bool same_size = true;

  if (dimensions.length () != n)
    {
      same_size = false;
    }
  else
    {
      for (octave_idx_type i = 0; i < n; i++)
	{
	  if (dv(i) != dimensions(i))
	    {
	      same_size = false;
	      break;
	    }
	}
    }

  if (same_size)
    return;

  typename Array<T>::ArrayRep *old_rep = rep;
  const T *old_data = data ();

  octave_idx_type ts = get_size (dv);

  rep = new typename Array<T>::ArrayRep (ts);

  dim_vector dv_old = dimensions;
  octave_idx_type  dv_old_orig_len = dv_old.length ();
  dimensions = dv;
  octave_idx_type ts_old = get_size (dv_old);

  if (ts > 0 && ts_old > 0 && dv_old_orig_len > 0)
    {
      Array<octave_idx_type> ra_idx (dimensions.length (), 0);

      if (n > dv_old_orig_len)
	{
	  dv_old.resize (n);

	  for (octave_idx_type i = dv_old_orig_len; i < n; i++)
	    dv_old.elem (i) = 1;
	}

      for (octave_idx_type i = 0; i < ts; i++)
	{
	  if (index_in_bounds (ra_idx, dv_old))
	    rep->elem (i) = old_data[get_scalar_idx (ra_idx, dv_old)];

	  increment_index (ra_idx, dimensions);
	}
    }

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
void
Array<T>::resize_no_fill (octave_idx_type r, octave_idx_type c)
{
  if (r < 0 || c < 0)
    {
      (*current_liboctave_error_handler)
	("can't resize to negative dimension");
      return;
    }

  int n = ndims ();

  if (n == 0)
    dimensions = dim_vector (0, 0);

  assert (ndims () == 2);

  if (r == dim1 () && c == dim2 ())
    return;

  typename Array<T>::ArrayRep *old_rep = Array<T>::rep;
  const T *old_data = data ();

  octave_idx_type old_d1 = dim1 ();
  octave_idx_type old_d2 = dim2 ();
  octave_idx_type old_len = length ();

  octave_idx_type ts = get_size (r, c);

  rep = new typename Array<T>::ArrayRep (ts);

  dimensions = dim_vector (r, c);

  if (ts > 0 && old_data && old_len > 0)
    {
      octave_idx_type min_r = old_d1 < r ? old_d1 : r;
      octave_idx_type min_c = old_d2 < c ? old_d2 : c;

      for (octave_idx_type j = 0; j < min_c; j++)
	for (octave_idx_type i = 0; i < min_r; i++)
	  xelem (i, j) = old_data[old_d1*j+i];
    }

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
void
Array<T>::resize_no_fill (octave_idx_type r, octave_idx_type c, octave_idx_type p)
{
  if (r < 0 || c < 0 || p < 0)
    {
      (*current_liboctave_error_handler)
	("can't resize to negative dimension");
      return;
    }

  int n = ndims ();

  if (n == 0)
    dimensions = dim_vector (0, 0, 0);

  assert (ndims () == 3);

  if (r == dim1 () && c == dim2 () && p == dim3 ())
    return;

  typename Array<T>::ArrayRep *old_rep = rep;
  const T *old_data = data ();

  octave_idx_type old_d1 = dim1 ();
  octave_idx_type old_d2 = dim2 ();
  octave_idx_type old_d3 = dim3 ();
  octave_idx_type old_len = length ();

  octave_idx_type ts = get_size (get_size (r, c), p);

  rep = new typename Array<T>::ArrayRep (ts);

  dimensions = dim_vector (r, c, p);

  if (ts > 0 && old_data && old_len > 0)
    {
      octave_idx_type min_r = old_d1 < r ? old_d1 : r;
      octave_idx_type min_c = old_d2 < c ? old_d2 : c;
      octave_idx_type min_p = old_d3 < p ? old_d3 : p;

      for (octave_idx_type k = 0; k < min_p; k++)
	for (octave_idx_type j = 0; j < min_c; j++)
	  for (octave_idx_type i = 0; i < min_r; i++)
	    xelem (i, j, k) = old_data[old_d1*(old_d2*k+j)+i];
    }

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
void
Array<T>::resize_and_fill (octave_idx_type n, const T& val)
{
  if (n < 0)
    {
      (*current_liboctave_error_handler)
	("can't resize to negative dimension");
      return;
    }

  if (n == length ())
    return;

  typename Array<T>::ArrayRep *old_rep = rep;
  const T *old_data = data ();
  octave_idx_type old_len = length ();

  rep = new typename Array<T>::ArrayRep (n);

  dimensions = dim_vector (n);

  if (n > 0)
    {
      octave_idx_type min_len = old_len < n ? old_len : n;

      if (old_data && old_len > 0)
	{
	  for (octave_idx_type i = 0; i < min_len; i++)
	    xelem (i) = old_data[i];
	}

      for (octave_idx_type i = old_len; i < n; i++)
	xelem (i) = val;
    }

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
void
Array<T>::resize_and_fill (octave_idx_type r, octave_idx_type c, const T& val)
{
  if (r < 0 || c < 0)
    {
      (*current_liboctave_error_handler)
	("can't resize to negative dimension");
      return;
    }

  if (ndims () == 0)
    dimensions = dim_vector (0, 0);

  assert (ndims () == 2);

  if (r == dim1 () && c == dim2 ())
    return;

  typename Array<T>::ArrayRep *old_rep = Array<T>::rep;
  const T *old_data = data ();

  octave_idx_type old_d1 = dim1 ();
  octave_idx_type old_d2 = dim2 ();
  octave_idx_type old_len = length ();

  octave_idx_type ts = get_size (r, c);

  rep = new typename Array<T>::ArrayRep (ts);

  dimensions = dim_vector (r, c);

  if (ts > 0)
    {
      octave_idx_type min_r = old_d1 < r ? old_d1 : r;
      octave_idx_type min_c = old_d2 < c ? old_d2 : c;

      if (old_data && old_len > 0)
	{
	  for (octave_idx_type j = 0; j < min_c; j++)
	    for (octave_idx_type i = 0; i < min_r; i++)
	      xelem (i, j) = old_data[old_d1*j+i];
	}

      for (octave_idx_type j = 0; j < min_c; j++)
	for (octave_idx_type i = min_r; i < r; i++)
	  xelem (i, j) = val;

      for (octave_idx_type j = min_c; j < c; j++)
	for (octave_idx_type i = 0; i < r; i++)
	  xelem (i, j) = val;
    }

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
void
Array<T>::resize_and_fill (octave_idx_type r, octave_idx_type c, octave_idx_type p, const T& val)
{
  if (r < 0 || c < 0 || p < 0)
    {
      (*current_liboctave_error_handler)
	("can't resize to negative dimension");
      return;
    }

  if (ndims () == 0)
    dimensions = dim_vector (0, 0, 0);

  assert (ndims () == 3);

  if (r == dim1 () && c == dim2 () && p == dim3 ())
    return;

  typename Array<T>::ArrayRep *old_rep = rep;
  const T *old_data = data ();

  octave_idx_type old_d1 = dim1 ();
  octave_idx_type old_d2 = dim2 ();
  octave_idx_type old_d3 = dim3 ();

  octave_idx_type old_len = length ();

  octave_idx_type ts = get_size (get_size (r, c), p);

  rep = new typename Array<T>::ArrayRep (ts);

  dimensions = dim_vector (r, c, p);

  if (ts > 0)
    {
      octave_idx_type min_r = old_d1 < r ? old_d1 : r;
      octave_idx_type min_c = old_d2 < c ? old_d2 : c;
      octave_idx_type min_p = old_d3 < p ? old_d3 : p;

      if (old_data && old_len > 0)
	for (octave_idx_type k = 0; k < min_p; k++)
	  for (octave_idx_type j = 0; j < min_c; j++)
	    for (octave_idx_type i = 0; i < min_r; i++)
	      xelem (i, j, k) = old_data[old_d1*(old_d2*k+j)+i];

      // FIXME -- if the copy constructor is expensive, this
      // may win.  Otherwise, it may make more sense to just copy the
      // value everywhere when making the new ArrayRep.

      for (octave_idx_type k = 0; k < min_p; k++)
	for (octave_idx_type j = min_c; j < c; j++)
	  for (octave_idx_type i = 0; i < min_r; i++)
	    xelem (i, j, k) = val;

      for (octave_idx_type k = 0; k < min_p; k++)
	for (octave_idx_type j = 0; j < c; j++)
	  for (octave_idx_type i = min_r; i < r; i++)
	    xelem (i, j, k) = val;

      for (octave_idx_type k = min_p; k < p; k++)
	for (octave_idx_type j = 0; j < c; j++)
	  for (octave_idx_type i = 0; i < r; i++)
	    xelem (i, j, k) = val;
    }

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
void
Array<T>::resize_and_fill (const dim_vector& dv, const T& val)
{
  octave_idx_type n = dv.length ();

  for (octave_idx_type i = 0; i < n; i++)
    {
      if (dv(i) < 0)
	{
	  (*current_liboctave_error_handler)
	    ("can't resize to negative dimension");
	  return;
	}
    }

  bool same_size = true;

  if (dimensions.length () != n)
    {
      same_size = false;
    }
  else
    {
      for (octave_idx_type i = 0; i < n; i++)
	{
	  if (dv(i) != dimensions(i))
	    {
	      same_size = false;
	      break;
	    }
	}
    }

  if (same_size)
    return;

  typename Array<T>::ArrayRep *old_rep = rep;
  const T *old_data = data ();

  octave_idx_type len = get_size (dv);

  rep = new typename Array<T>::ArrayRep (len);

  dim_vector dv_old = dimensions;
  octave_idx_type dv_old_orig_len = dv_old.length ();
  dimensions = dv;

  if (len > 0 && dv_old_orig_len > 0)
    {
      Array<octave_idx_type> ra_idx (dimensions.length (), 0);
      
      if (n > dv_old_orig_len)
	{
	  dv_old.resize (n);

	  for (octave_idx_type i = dv_old_orig_len; i < n; i++)
	    dv_old.elem (i) = 1;
	}

      for (octave_idx_type i = 0; i < len; i++)
	{
	  if (index_in_bounds (ra_idx, dv_old))
	    rep->elem (i) = old_data[get_scalar_idx (ra_idx, dv_old)];
	  else
	    rep->elem (i) = val;
	  
	  increment_index (ra_idx, dimensions);
	}
    }
  else
    for (octave_idx_type i = 0; i < len; i++)
      rep->elem (i) = val;

  if (--old_rep->count <= 0)
    delete old_rep;
}

template <class T>
Array<T>&
Array<T>::insert (const Array<T>& a, octave_idx_type r, octave_idx_type c)
{
  if (ndims () == 2 && a.ndims () == 2)
    insert2 (a, r, c);
  else
    insertN (a, r, c);

  return *this;
}


template <class T>
Array<T>&
Array<T>::insert2 (const Array<T>& a, octave_idx_type r, octave_idx_type c)
{
  octave_idx_type a_rows = a.rows ();
  octave_idx_type a_cols = a.cols ();

  if (r < 0 || r + a_rows > rows () || c < 0 || c + a_cols > cols ())
    {
      (*current_liboctave_error_handler) ("range error for insert");
      return *this;
    }

  for (octave_idx_type j = 0; j < a_cols; j++)
    for (octave_idx_type i = 0; i < a_rows; i++)
      elem (r+i, c+j) = a.elem (i, j);

  return *this;
}

template <class T>
Array<T>&
Array<T>::insertN (const Array<T>& a, octave_idx_type r, octave_idx_type c)
{
  dim_vector dv = dims ();

  dim_vector a_dv = a.dims ();

  int n = a_dv.length ();

  if (n == dimensions.length ())
    {
      Array<octave_idx_type> a_ra_idx (a_dv.length (), 0);

      a_ra_idx.elem (0) = r;
      a_ra_idx.elem (1) = c;

      for (int i = 0; i < n; i++)
	{
	  if (a_ra_idx(i) < 0 || (a_ra_idx(i) + a_dv(i)) > dv(i))
	    {
	      (*current_liboctave_error_handler)
		("Array<T>::insert: range error for insert");
	      return *this;
	    }
	}

      octave_idx_type n_elt = a.numel ();
      
      const T *a_data = a.data ();   
   
      octave_idx_type iidx = 0;
	  
      octave_idx_type a_rows = a_dv(0);

      octave_idx_type this_rows = dv(0);
	  
      octave_idx_type numel_page = a_dv(0) * a_dv(1);	  

      octave_idx_type count_pages = 0;
	  
      for (octave_idx_type i = 0; i < n_elt; i++)
	{
	  if (i != 0 && i % a_rows == 0)
	    iidx += (this_rows - a_rows);	      
	  
	  if (i % numel_page == 0)
	    iidx = c * dv(0) + r + dv(0) * dv(1) * count_pages++;

	  elem (iidx++) = a_data[i];
	}
    }
  else
    (*current_liboctave_error_handler)
      ("Array<T>::insert: invalid indexing operation");

  return *this;
}

template <class T>
Array<T>&
Array<T>::insert (const Array<T>& a, const Array<octave_idx_type>& ra_idx)
{
  octave_idx_type n = ra_idx.length ();

  if (n == dimensions.length ())
    {
      dim_vector dva = a.dims ();
      dim_vector dv = dims ();
      int len_a = dva.length ();
      int non_full_dim = 0;

      for (octave_idx_type i = 0; i < n; i++)
	{
	  if (ra_idx(i) < 0 || (ra_idx(i) + 
				(i < len_a ? dva(i) : 1)) > dimensions(i))
	    {
	      (*current_liboctave_error_handler)
		("Array<T>::insert: range error for insert");
	      return *this;
	    }

	  if (dv(i) != (i < len_a ? dva(i) : 1))
	    non_full_dim++;
	}

      if (dva.numel ())
        {
	  if (non_full_dim < 2)
	    {
	      // Special case for fast concatenation
	      const T *a_data = a.data ();
	      octave_idx_type numel_to_move = 1;
	      octave_idx_type skip = 0;
	      for (int i = 0; i < len_a; i++)
		if (ra_idx(i) == 0 && dva(i) == dv(i))
		  numel_to_move *= dva(i);
		else
		  {
		    skip = numel_to_move * (dv(i) - dva(i));
		    numel_to_move *= dva(i);
		    break;
		  }

	      octave_idx_type jidx = ra_idx(n-1);
	      for (int i = n-2; i >= 0; i--)
		{
		  jidx *= dv(i);
		  jidx += ra_idx(i);
		}

	      octave_idx_type iidx = 0;
	      octave_idx_type moves = dva.numel () / numel_to_move;
	      for (octave_idx_type i = 0; i < moves; i++)
		{
		  for (octave_idx_type j = 0; j < numel_to_move; j++)
		    elem (jidx++) = a_data[iidx++];
		  jidx += skip;
		}
	    }
	  else
	    {
	      // Generic code
	      const T *a_data = a.data ();
	      int nel = a.numel ();
	      Array<octave_idx_type> a_idx (n, 0);

	      for (int i = 0; i < nel; i++)
		{
		  int iidx = a_idx(n-1) + ra_idx(n-1);
		  for (int j = n-2; j >= 0; j--)
		    {
		      iidx *= dv(j);
		      iidx += a_idx(j) + ra_idx(j);
		    }

		  elem (iidx) = a_data[i];

		  increment_index (a_idx, dva);
		}
	    }
	}
    }
  else
    (*current_liboctave_error_handler)
      ("Array<T>::insert: invalid indexing operation");

  return *this;
}

template <class T>
Array<T>
Array<T>::transpose (void) const
{
  assert (ndims () == 2);

  octave_idx_type nr = dim1 ();
  octave_idx_type nc = dim2 ();

  if (nr > 1 && nc > 1)
    {
      Array<T> result (dim_vector (nc, nr));

      for (octave_idx_type j = 0; j < nc; j++)
	for (octave_idx_type i = 0; i < nr; i++)
	  result.xelem (j, i) = xelem (i, j);

      return result;
    }
  else
    {
      // Fast transpose for vectors and empty matrices
      return Array<T> (*this, dim_vector (nc, nr));
    }
}

template <class T>
T *
Array<T>::fortran_vec (void)
{
  make_unique ();

  return rep->data;
}

template <class T>
void
Array<T>::maybe_delete_dims (void)
{
  int nd = dimensions.length ();

  dim_vector new_dims (1, 1);

  bool delete_dims = true;

  for (int i = nd - 1; i >= 0; i--)
    {
      if (delete_dims)
        {
          if (dimensions(i) != 1)
	    {
	      delete_dims = false;

	      new_dims = dim_vector (i + 1, dimensions(i));
	    }
        }
      else
	new_dims(i) = dimensions(i);
    }

  if (nd != new_dims.length ())
    dimensions = new_dims;
}

template <class T>
void
Array<T>::clear_index (void) const
{
  delete [] idx;
  idx = 0;
  idx_count = 0;
}

template <class T>
void
Array<T>::set_index (const idx_vector& idx_arg) const
{
  int nd = ndims ();

  if (! idx && nd > 0)
    idx = new idx_vector [nd];

  if (idx_count < nd)
    {
      idx[idx_count++] = idx_arg;
    }
  else
    {
      idx_vector *new_idx = new idx_vector [idx_count+1];

      for (int i = 0; i < idx_count; i++)
	new_idx[i] = idx[i];

      new_idx[idx_count++] = idx_arg;

      delete [] idx;

      idx = new_idx;
    }
}

template <class T>
void
Array<T>::maybe_delete_elements (idx_vector& idx_arg)
{
  switch (ndims ())
    {
    case 1:
      maybe_delete_elements_1 (idx_arg);
      break;

    case 2:
      maybe_delete_elements_2 (idx_arg);
      break;

    default:
      (*current_liboctave_error_handler)
	("Array<T>::maybe_delete_elements: invalid operation");
      break;
    }
}

template <class T>
void
Array<T>::maybe_delete_elements_1 (idx_vector& idx_arg)
{
  octave_idx_type len = length ();

  if (len == 0)
    return;

  if (idx_arg.is_colon_equiv (len, 1))
    resize_no_fill (0);
  else
    {
      int num_to_delete = idx_arg.length (len);

      if (num_to_delete != 0)
	{
	  octave_idx_type new_len = len;

	  octave_idx_type iidx = 0;

	  for (octave_idx_type i = 0; i < len; i++)
	    if (i == idx_arg.elem (iidx))
	      {
		iidx++;
		new_len--;

		if (iidx == num_to_delete)
		  break;
	      }

	  if (new_len > 0)
	    {
	      T *new_data = new T [new_len];

	      octave_idx_type ii = 0;
	      iidx = 0;
	      for (octave_idx_type i = 0; i < len; i++)
		{
		  if (iidx < num_to_delete && i == idx_arg.elem (iidx))
		    iidx++;
		  else
		    {
		      new_data[ii] = xelem (i);
		      ii++;
		    }
		}

	      if (--rep->count <= 0)
		delete rep;

	      rep = new typename Array<T>::ArrayRep (new_data, new_len);

	      dimensions.resize (1);
	      dimensions(0) = new_len;
	    }
	  else
	    (*current_liboctave_error_handler)
	      ("A(idx) = []: index out of range");
	}
    }
}

template <class T>
void
Array<T>::maybe_delete_elements_2 (idx_vector& idx_arg)
{
  assert (ndims () == 2);

  octave_idx_type nr = dim1 ();
  octave_idx_type nc = dim2 ();

  octave_idx_type n;
  if (nr == 1)
    n = nc;
  else if (nc == 1)
    n = nr;
  else
    {
      // Reshape to row vector for Matlab compatibility.

      n = nr * nc;
      nr = 1;
      nc = n;
    }

  if (nr > 0 && nc > 0 && idx_arg.is_colon_equiv (n, 1))
    {
      // Either A(:) = [] or A(idx) = [] with idx enumerating all
      // elements, so we delete all elements and return [](0x0).  To
      // preserve the orientation of the vector, you have to use
      // A(idx,:) = [] (delete rows) or A(:,idx) (delete columns).

      resize_no_fill (0, 0);
      return;
    }

  idx_arg.sort (true);

  octave_idx_type num_to_delete = idx_arg.length (n);

  if (num_to_delete != 0)
    {
      octave_idx_type new_n = n;

      octave_idx_type iidx = 0;

      for (octave_idx_type i = 0; i < n; i++)
	if (i == idx_arg.elem (iidx))
	  {
	    iidx++;
	    new_n--;

	    if (iidx == num_to_delete)
	      break;
	  }

      if (new_n > 0)
	{
	  T *new_data = new T [new_n];

	  octave_idx_type ii = 0;
	  iidx = 0;
	  for (octave_idx_type i = 0; i < n; i++)
	    {
	      if (iidx < num_to_delete && i == idx_arg.elem (iidx))
		iidx++;
	      else
		{
		  new_data[ii] = xelem (i);

		  ii++;
		}
	    }

	  if (--(Array<T>::rep)->count <= 0)
	    delete Array<T>::rep;

	  Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_n);

	  dimensions.resize (2);

	  if (nr == 1)
	    {
	      dimensions(0) = 1;
	      dimensions(1) = new_n;
	    }
	  else
	    {
	      dimensions(0) = new_n;
	      dimensions(1) = 1;
	    }
	}
      else
	(*current_liboctave_error_handler)
	  ("A(idx) = []: index out of range");
    }
}

template <class T>
void
Array<T>::maybe_delete_elements (idx_vector& idx_i, idx_vector& idx_j)
{
  assert (ndims () == 2);

  octave_idx_type nr = dim1 ();
  octave_idx_type nc = dim2 ();

  if (nr == 0 && nc == 0)
    return;

  if (idx_i.is_colon ())
    {
      if (idx_j.is_colon ())
	{
	  // A(:,:) -- We are deleting columns and rows, so the result
	  // is [](0x0).

	  resize_no_fill (0, 0);
	  return;
	}

      if (idx_j.is_colon_equiv (nc, 1))
	{
	  // A(:,j) -- We are deleting columns by enumerating them,
	  // If we enumerate all of them, we should have zero columns
	  // with the same number of rows that we started with.

	  resize_no_fill (nr, 0);
	  return;
	}
    }

  if (idx_j.is_colon () && idx_i.is_colon_equiv (nr, 1))
    {
      // A(i,:) -- We are deleting rows by enumerating them.  If we
      // enumerate all of them, we should have zero rows with the
      // same number of columns that we started with.

      resize_no_fill (0, nc);
      return;
    }

  if (idx_i.is_colon_equiv (nr, 1))
    {
      if (idx_j.is_colon_equiv (nc, 1))
	resize_no_fill (0, 0);
      else
	{
	  idx_j.sort (true);

	  octave_idx_type num_to_delete = idx_j.length (nc);

	  if (num_to_delete != 0)
	    {
	      if (nr == 1 && num_to_delete == nc)
		resize_no_fill (0, 0);
	      else
		{
		  octave_idx_type new_nc = nc;

		  octave_idx_type iidx = 0;

		  for (octave_idx_type j = 0; j < nc; j++)
		    if (j == idx_j.elem (iidx))
		      {
			iidx++;
			new_nc--;

			if (iidx == num_to_delete)
			  break;
		      }

		  if (new_nc > 0)
		    {
		      T *new_data = new T [nr * new_nc];

		      octave_idx_type jj = 0;
		      iidx = 0;
		      for (octave_idx_type j = 0; j < nc; j++)
			{
			  if (iidx < num_to_delete && j == idx_j.elem (iidx))
			    iidx++;
			  else
			    {
			      for (octave_idx_type i = 0; i < nr; i++)
				new_data[nr*jj+i] = xelem (i, j);
			      jj++;
			    }
			}

		      if (--(Array<T>::rep)->count <= 0)
			delete Array<T>::rep;

		      Array<T>::rep = new typename Array<T>::ArrayRep (new_data, nr * new_nc);

		      dimensions.resize (2);
		      dimensions(1) = new_nc;
		    }
		  else
		    (*current_liboctave_error_handler)
		      ("A(idx) = []: index out of range");
		}
	    }
	}
    }
  else if (idx_j.is_colon_equiv (nc, 1))
    {
      if (idx_i.is_colon_equiv (nr, 1))
	resize_no_fill (0, 0);
      else
	{
	  idx_i.sort (true);

	  octave_idx_type num_to_delete = idx_i.length (nr);

	  if (num_to_delete != 0)
	    {
	      if (nc == 1 && num_to_delete == nr)
		resize_no_fill (0, 0);
	      else
		{
		  octave_idx_type new_nr = nr;

		  octave_idx_type iidx = 0;

		  for (octave_idx_type i = 0; i < nr; i++)
		    if (i == idx_i.elem (iidx))
		      {
			iidx++;
			new_nr--;

			if (iidx == num_to_delete)
			  break;
		      }

		  if (new_nr > 0)
		    {
		      T *new_data = new T [new_nr * nc];

		      octave_idx_type ii = 0;
		      iidx = 0;
		      for (octave_idx_type i = 0; i < nr; i++)
			{
			  if (iidx < num_to_delete && i == idx_i.elem (iidx))
			    iidx++;
			  else
			    {
			      for (octave_idx_type j = 0; j < nc; j++)
				new_data[new_nr*j+ii] = xelem (i, j);
			      ii++;
			    }
			}

		      if (--(Array<T>::rep)->count <= 0)
			delete Array<T>::rep;

		      Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_nr * nc);

		      dimensions.resize (2);
		      dimensions(0) = new_nr;
		    }
		  else
		    (*current_liboctave_error_handler)
		      ("A(idx) = []: index out of range");
		}
	    }
	}
    }
}

template <class T>
void
Array<T>::maybe_delete_elements (idx_vector&, idx_vector&, idx_vector&)
{
  assert (0);
}

template <class T>
void
Array<T>::maybe_delete_elements (Array<idx_vector>& ra_idx, const T& rfv)
{
  octave_idx_type n_idx = ra_idx.length ();

  dim_vector lhs_dims = dims ();

  int n_lhs_dims = lhs_dims.length ();

  if (lhs_dims.all_zero ())
    return;

  if (n_idx == 1 && ra_idx(0).is_colon ())
    {
      resize (dim_vector (0, 0), rfv);
      return;
    }

  if (n_idx > n_lhs_dims)
    {
      for (int i = n_idx; i < n_lhs_dims; i++)
	{
	  // Ensure that extra indices are either colon or 1.

	  if (! ra_idx(i).is_colon_equiv (1, 1))
	    {
	      (*current_liboctave_error_handler)
		("index exceeds array dimensions");
	      return;
	    }
	}

      ra_idx.resize (n_lhs_dims);

      n_idx = n_lhs_dims;
    }

  Array<int> idx_is_colon (n_idx, 0);

  Array<int> idx_is_colon_equiv (n_idx, 0);

  // Initialization of colon arrays.

  for (octave_idx_type i = 0; i < n_idx; i++)
    {
      idx_is_colon_equiv(i) = ra_idx(i).is_colon_equiv (lhs_dims(i), 1);

      idx_is_colon(i) = ra_idx(i).is_colon ();
    }

  bool idx_ok = true;

  // Check for index out of bounds.

  for (octave_idx_type i = 0 ; i < n_idx - 1; i++)
    {
      if (! (idx_is_colon(i) || idx_is_colon_equiv(i)))
	{
	  ra_idx(i).sort (true);

	  if (ra_idx(i).max () > lhs_dims(i))
	    {
	      (*current_liboctave_error_handler)
		("index exceeds array dimensions");

	      idx_ok = false;
	      break;
	    }
	  else if (ra_idx(i).min () < 0) // I believe this is checked elsewhere
	    {
	      (*current_liboctave_error_handler)
		("index must be one or larger");

	      idx_ok = false;
	      break;
	    }
	}
    }

  if (n_idx <= n_lhs_dims)
    {
      octave_idx_type last_idx = ra_idx(n_idx-1).max ();

      octave_idx_type sum_el = lhs_dims(n_idx-1);

      for (octave_idx_type i = n_idx; i < n_lhs_dims; i++)
	  sum_el *= lhs_dims(i);

      if (last_idx > sum_el - 1)
	{
	  (*current_liboctave_error_handler)
	    ("index exceeds array dimensions");

	  idx_ok = false;
	}
    }

  if (idx_ok)
    {
      if (n_idx > 1
	  && (all_ones (idx_is_colon) || all_ones (idx_is_colon_equiv)))
	{
	  // A(:,:,:) -- we are deleting elements in all dimensions, so
	  // the result is [](0x0x0).

	  dim_vector zeros;
	  zeros.resize (n_idx);

	  for (int i = 0; i < n_idx; i++)
	    zeros(i) = 0;

	  resize (zeros, rfv);
	}

      else if (n_idx > 1
	       && num_ones (idx_is_colon) == n_idx - 1
	       && num_ones (idx_is_colon_equiv) == n_idx)
	{
	  // A(:,:,j) -- we are deleting elements in one dimension by
	  // enumerating them.
	  //
	  // If we enumerate all of the elements, we should have zero
	  // elements in that dimension with the same number of elements
	  // in the other dimensions that we started with.

	  dim_vector temp_dims;
	  temp_dims.resize (n_idx);

	  for (octave_idx_type i = 0; i < n_idx; i++)
	    {
	      if (idx_is_colon (i))
		temp_dims(i) =  lhs_dims(i);
	      else
		temp_dims(i) = 0;
	    }

	  resize (temp_dims);
	}
      else if (n_idx > 1 && num_ones (idx_is_colon) == n_idx - 1)
	{
	  // We have colons in all indices except for one.
	  // This index tells us which slice to delete

	  if (n_idx < n_lhs_dims)
	    {
	      // Collapse dimensions beyond last index.

	      if (! (ra_idx(n_idx-1).is_colon ()))
		(*current_liboctave_warning_with_id_handler)
		  ("Octave:fortran-indexing",
		   "fewer indices than dimensions for N-d array");

	      for (octave_idx_type i = n_idx; i < n_lhs_dims; i++)
		lhs_dims(n_idx-1) *= lhs_dims(i);

	      lhs_dims.resize (n_idx);

	      // Reshape *this.
	      dimensions = lhs_dims;
	    }

	  int non_col = 0;

	  // Find the non-colon column.

	  for (octave_idx_type i = 0; i < n_idx; i++)
	    {
	      if (! idx_is_colon(i))
		non_col = i;
	    }

	  // The length of the non-colon dimension.

	  octave_idx_type non_col_dim = lhs_dims (non_col);

	  octave_idx_type num_to_delete = ra_idx(non_col).length (lhs_dims (non_col));

	  if (num_to_delete > 0)
	    {
	      int temp = lhs_dims.num_ones ();

	      if (non_col_dim == 1)
		temp--;

	      if (temp == n_idx - 1 && num_to_delete == non_col_dim)
		{
		  // We have A with (1x1x4), where A(1,:,1:4)
		  // Delete all (0x0x0)

		  dim_vector zero_dims (n_idx, 0);

		  resize (zero_dims, rfv);
		}
	      else
		{
		  // New length of non-colon dimension
		  // (calculated in the next for loop)

		  octave_idx_type new_dim = non_col_dim;

		  octave_idx_type iidx = 0;

		  for (octave_idx_type j = 0; j < non_col_dim; j++)
		    if (j == ra_idx(non_col).elem (iidx))
		      {
			iidx++;

			new_dim--;

			if (iidx == num_to_delete)
			  break;
		      }

		  // Creating the new nd array after deletions.

		  if (new_dim > 0)
		    {
		      // Calculate number of elements in new array.

		      octave_idx_type num_new_elem=1;

		      for (int i = 0; i < n_idx; i++)
			{
			  if (i == non_col)
			    num_new_elem *= new_dim;

			  else
			    num_new_elem *= lhs_dims(i);
			}

		      T *new_data = new T [num_new_elem];

		      Array<octave_idx_type> result_idx (n_lhs_dims, 0);

		      dim_vector new_lhs_dim = lhs_dims;

		      new_lhs_dim(non_col) = new_dim;

		      octave_idx_type num_elem = 1;

		      octave_idx_type numidx = 0;

		      octave_idx_type n = length ();

		      for (int i = 0; i < n_lhs_dims; i++)
			if (i != non_col)
			  num_elem *= lhs_dims(i);

		      num_elem *= ra_idx(non_col).capacity ();

		      for (octave_idx_type i = 0; i < n; i++)
			{
			  if (numidx < num_elem
			      && is_in (result_idx(non_col), ra_idx(non_col)))
			    numidx++;

			  else
			    {
			      Array<octave_idx_type> temp_result_idx = result_idx;

			      octave_idx_type num_lgt = how_many_lgt (result_idx(non_col),
							  ra_idx(non_col));

			      temp_result_idx(non_col) -= num_lgt;

			      octave_idx_type kidx
				= ::compute_index (temp_result_idx, new_lhs_dim);

			      new_data[kidx] = xelem (result_idx);
			    }

			  increment_index (result_idx, lhs_dims);
			}

		      if (--rep->count <= 0)
			delete rep;

		      rep = new typename Array<T>::ArrayRep (new_data,
							     num_new_elem);

		      dimensions = new_lhs_dim;
		    }
		}
	    }
	}
      else if (n_idx == 1)
	{
	  // This handle cases where we only have one index (not
	  // colon).  The index denotes which elements we should
	  // delete in the array which can be of any dimension. We
	  // return a column vector, except for the case where we are
	  // operating on a row vector. The elements are numerated
	  // column by column.
	  //
	  // A(3,3,3)=2;
	  // A(3:5) = []; A(6)=[]

	  octave_idx_type lhs_numel = numel ();

	  idx_vector idx_vec = ra_idx(0);

	  idx_vec.freeze (lhs_numel, 0, true);
      
	  idx_vec.sort (true);

	  octave_idx_type num_to_delete = idx_vec.length (lhs_numel);

	  if (num_to_delete > 0)
	    {
	      octave_idx_type new_numel = lhs_numel - num_to_delete;

	      T *new_data = new T[new_numel];

	      Array<octave_idx_type> lhs_ra_idx (ndims (), 0);

	      octave_idx_type ii = 0;
	      octave_idx_type iidx = 0;

	      for (octave_idx_type i = 0; i < lhs_numel; i++)
		{
		  if (iidx < num_to_delete && i == idx_vec.elem (iidx))
		    {
		      iidx++;
		    }
		  else
		    {
		      new_data[ii++] = xelem (lhs_ra_idx);
		    }

		  increment_index (lhs_ra_idx, lhs_dims);
		}

	      if (--(Array<T>::rep)->count <= 0)
		delete Array<T>::rep;

	      Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_numel);

	      dimensions.resize (2);

	      if (lhs_dims.length () == 2 && lhs_dims(1) == 1)
		{
		  dimensions(0) = new_numel;
		  dimensions(1) = 1;
		}
	      else
		{
		  dimensions(0) = 1;
		  dimensions(1) = new_numel;
		}
	    }
	}
      else if (num_ones (idx_is_colon) < n_idx)
	{
	  (*current_liboctave_error_handler)
	    ("a null assignment can have only one non-colon index");
	}
    }
}

template <class T>
Array<T>
Array<T>::value (void) const
{
  Array<T> retval;

  int n_idx = index_count ();

  if (n_idx == 2)
    {
      idx_vector *tmp = get_idx ();

      idx_vector idx_i = tmp[0];
      idx_vector idx_j = tmp[1];

      retval = index (idx_i, idx_j);
    }
  else if (n_idx == 1)
    {
      retval = index (idx[0]);
    }
  else
    (*current_liboctave_error_handler)
      ("Array<T>::value: invalid number of indices specified");

  clear_index ();

  return retval;
}

template <class T>
Array<T>
Array<T>::index (idx_vector& idx_arg, int resize_ok, const T& rfv) const
{
  Array<T> retval;

  dim_vector dv = idx_arg.orig_dimensions ();

  if (dv.length () > 2 || ndims () > 2)
    retval = indexN (idx_arg, resize_ok, rfv);
  else
    {
      switch (ndims ())
	{
	case 1:
	  retval = index1 (idx_arg, resize_ok, rfv);
	  break;

	case 2:
	  retval = index2 (idx_arg, resize_ok, rfv);
	  break;

	default:
	  (*current_liboctave_error_handler)
	    ("invalid array (internal error)");
	  break;
	}
    }

  return retval;
}

template <class T>
Array<T>
Array<T>::index1 (idx_vector& idx_arg, int resize_ok, const T& rfv) const
{
  Array<T> retval;

  octave_idx_type len = length ();

  octave_idx_type n = idx_arg.freeze (len, "vector", resize_ok);

  if (idx_arg)
    {
      if (idx_arg.is_colon_equiv (len))
	{
	  retval = *this;
	}
      else if (n == 0)
	{
	  retval.resize_no_fill (0);
	}
      else if (len == 1 && n > 1
	       && idx_arg.one_zero_only ()
	       && idx_arg.ones_count () == n)
	{
	  retval.resize_and_fill (n, elem (0));
	}
      else
	{
	  retval.resize_no_fill (n);

	  for (octave_idx_type i = 0; i < n; i++)
	    {
	      octave_idx_type ii = idx_arg.elem (i);
	      if (ii >= len)
		retval.elem (i) = rfv;
	      else
		retval.elem (i) = elem (ii);
	    }
	}
    }

  // idx_vector::freeze() printed an error message for us.

  return retval;
}

template <class T>
Array<T>
Array<T>::index2 (idx_vector& idx_arg, int resize_ok, const T& rfv) const
{
  Array<T> retval;

  assert (ndims () == 2);

  octave_idx_type nr = dim1 ();
  octave_idx_type nc = dim2 ();

  octave_idx_type orig_len = nr * nc;

  dim_vector idx_orig_dims = idx_arg.orig_dimensions ();

  octave_idx_type idx_orig_rows = idx_arg.orig_rows ();
  octave_idx_type idx_orig_columns = idx_arg.orig_columns ();

  if (idx_arg.is_colon ())
    {
      // Fast magic colon processing.

      octave_idx_type result_nr = nr * nc;
      octave_idx_type result_nc = 1;

      retval = Array<T> (*this, dim_vector (result_nr, result_nc));
    }
  else if (nr == 1 && nc == 1)
    {
      Array<T> tmp = Array<T>::index1 (idx_arg, resize_ok);

      octave_idx_type len = tmp.length ();

      if (len == 0 && idx_arg.one_zero_only ())
	retval = Array<T> (tmp, dim_vector (0, 0));
      else if (len >= idx_orig_dims.numel ())
	retval = Array<T> (tmp, idx_orig_dims);
    }
  else if (nr == 1 || nc == 1)
    {
      // If indexing a vector with a matrix, return value has same
      // shape as the index.  Otherwise, it has same orientation as
      // indexed object.

      Array<T> tmp = Array<T>::index1 (idx_arg, resize_ok);

      octave_idx_type len = tmp.length ();

      if ((len != 0 && idx_arg.one_zero_only ())
	  || idx_orig_rows == 1 || idx_orig_columns == 1)
	{
	  if (nr == 1)
	    retval = Array<T> (tmp, dim_vector (1, len));
	  else
	    retval = Array<T> (tmp, dim_vector (len, 1));
	}
      else if (len >= idx_orig_dims.numel ())
	retval = Array<T> (tmp, idx_orig_dims);
    }
  else
    {
      if (! (idx_arg.one_zero_only ()
	     && idx_orig_rows == nr
	     && idx_orig_columns == nc))
	(*current_liboctave_warning_with_id_handler)
	  ("Octave:fortran-indexing", "single index used for matrix");

      // This code is only for indexing matrices.  The vector
      // cases are handled above.

      idx_arg.freeze (nr * nc, "matrix", resize_ok);

      if (idx_arg)
	{
	  octave_idx_type result_nr = idx_orig_rows;
	  octave_idx_type result_nc = idx_orig_columns;

	  if (idx_arg.one_zero_only ())
	    {
	      result_nr = idx_arg.ones_count ();
	      result_nc = (result_nr > 0 ? 1 : 0);
	    }

	  retval.resize_no_fill (result_nr, result_nc);

	  octave_idx_type k = 0;
	  for (octave_idx_type j = 0; j < result_nc; j++)
	    {
	      for (octave_idx_type i = 0; i < result_nr; i++)
		{
		  octave_idx_type ii = idx_arg.elem (k++);
		  if (ii >= orig_len)
		    retval.elem (i, j) = rfv;
		  else
		    {
		      octave_idx_type fr = ii % nr;
		      octave_idx_type fc = (ii - fr) / nr;
		      retval.elem (i, j) = elem (fr, fc);
		    }
		}
	    }
	}
      // idx_vector::freeze() printed an error message for us.
    }

  return retval;
}

template <class T>
Array<T>
Array<T>::indexN (idx_vector& ra_idx, int resize_ok, const T& rfv) const
{
  Array<T> retval;

  dim_vector dv = dims ();

  int n_dims = dv.length ();

  octave_idx_type orig_len = dv.numel ();

  dim_vector idx_orig_dims = ra_idx.orig_dimensions ();

  if (ra_idx.is_colon ())
    {
      // Fast magic colon processing.

      retval = Array<T> (*this, dim_vector (orig_len, 1));
    }
  else
    {
      bool vec_equiv = vector_equivalent (dv);

      if (! vec_equiv
	  && ! (ra_idx.is_colon ()
		|| (ra_idx.one_zero_only () && idx_orig_dims == dv)))
	(*current_liboctave_warning_with_id_handler)
	  ("Octave:fortran-indexing", "single index used for N-d array");

      octave_idx_type frozen_len
	= ra_idx.freeze (orig_len, "nd-array", resize_ok);

      if (ra_idx)
	{
	  dim_vector result_dims;

	  if (vec_equiv)
	    {
	      result_dims = dv;

	      for (int i = 0; i < n_dims; i++)
		{
		  if (result_dims(i) != 1)
		    {
		      // All but this dim should be one.
		      result_dims(i) = frozen_len;
		      break;
		    }
		}
	    }
	  else
	    result_dims = idx_orig_dims;

	  if (ra_idx.one_zero_only ())
	    {
	      result_dims.resize (2);
	      octave_idx_type ntot = ra_idx.ones_count ();
	      result_dims(0) = ntot;
	      result_dims(1) = (ntot > 0 ? 1 : 0);
	    }

	  result_dims.chop_trailing_singletons ();

	  retval.resize (result_dims);

	  octave_idx_type n = result_dims.numel ();

	  octave_idx_type k = 0;

	  for (octave_idx_type i = 0; i < n; i++)
	    {
	      octave_idx_type ii = ra_idx.elem (k++);

	      if (ii >= orig_len)
	        retval.elem (i) = rfv;
	      else
		retval.elem (i) = elem (ii);
	    }
	}
    }

  return retval;
}

template <class T>
Array<T>
Array<T>::index (idx_vector& idx_i, idx_vector& idx_j, int resize_ok,
		 const T& rfv) const
{
  Array<T> retval;

  assert (ndims () == 2);

  octave_idx_type nr = dim1 ();
  octave_idx_type nc = dim2 ();

  octave_idx_type n = idx_i.freeze (nr, "row", resize_ok);
  octave_idx_type m = idx_j.freeze (nc, "column", resize_ok);

  if (idx_i && idx_j)
    {
      if (idx_i.orig_empty () || idx_j.orig_empty () || n == 0 || m == 0)
	{
	  retval.resize_no_fill (n, m);
	}
      else if (idx_i.is_colon_equiv (nr) && idx_j.is_colon_equiv (nc))
	{
	  retval = *this;
	}
      else
	{
	  retval.resize_no_fill (n, m);

	  for (octave_idx_type j = 0; j < m; j++)
	    {
	      octave_idx_type jj = idx_j.elem (j);
	      for (octave_idx_type i = 0; i < n; i++)
		{
		  octave_idx_type ii = idx_i.elem (i);
		  if (ii >= nr || jj >= nc)
		    retval.elem (i, j) = rfv;
		  else
		    retval.elem (i, j) = elem (ii, jj);
		}
	    }
	}
    }

  // idx_vector::freeze() printed an error message for us.

  return retval;
}

template <class T>
Array<T>
Array<T>::index (Array<idx_vector>& ra_idx, int resize_ok, const T& rfv) const
{
  // This function handles all calls with more than one idx.
  // For (3x3x3), the call can be A(2,5), A(2,:,:), A(3,2,3) etc.

  Array<T> retval;

  int n_dims = dimensions.length ();

  // Remove trailing singletons in ra_idx, but leave at least ndims
  // elements.

  octave_idx_type ra_idx_len = ra_idx.length ();

  bool trim_trailing_singletons = true;
  for (octave_idx_type j = ra_idx_len; j > n_dims; j--)
    {
      idx_vector iidx = ra_idx (ra_idx_len-1);
      if (iidx.capacity () == 1 && trim_trailing_singletons)
	ra_idx_len--;
      else
	trim_trailing_singletons = false;

      if (! resize_ok)
	{
	  for (octave_idx_type i = 0; i < iidx.capacity (); i++)
	    if (iidx (i) != 0)
	      {
		(*current_liboctave_error_handler)
		  ("index exceeds N-d array dimensions");

		return retval;
	      }
	}
    }

  ra_idx.resize (ra_idx_len);

  dim_vector new_dims = dims ();
  dim_vector frozen_lengths;

  if (! any_orig_empty (ra_idx) && ra_idx_len < n_dims)
    frozen_lengths = short_freeze (ra_idx, dimensions, resize_ok);
  else
    {
      new_dims.resize (ra_idx_len, 1);
      frozen_lengths = freeze (ra_idx, new_dims, resize_ok);
    }

  if (all_ok (ra_idx))
    {
      if (any_orig_empty (ra_idx) || frozen_lengths.any_zero ())
	{
	  frozen_lengths.chop_trailing_singletons ();

	  retval.resize (frozen_lengths);
	}
      else if (frozen_lengths.length () == n_dims
	       && all_colon_equiv (ra_idx, dimensions))
	{
	  retval = *this;
	}
      else
	{
	  dim_vector frozen_lengths_for_resize = frozen_lengths;

	  frozen_lengths_for_resize.chop_trailing_singletons ();

	  retval.resize (frozen_lengths_for_resize);

	  octave_idx_type n = retval.length ();

	  Array<octave_idx_type> result_idx (ra_idx.length (), 0);

	  Array<octave_idx_type> elt_idx;

	  for (octave_idx_type i = 0; i < n; i++)
	    {
	      elt_idx = get_elt_idx (ra_idx, result_idx);

	      octave_idx_type numelem_elt = get_scalar_idx (elt_idx, new_dims);

	      if (numelem_elt >= length () || numelem_elt < 0)
		retval.elem (i) = rfv;
	      else
		retval.elem (i) = elem (numelem_elt);

	      increment_index (result_idx, frozen_lengths);

	    }
	}
    }

  return retval;
}

// FIXME -- this is a mess.

template <class LT, class RT>
int
assign (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv)
{
  int n_idx = lhs.index_count ();

  // kluge...
  if (lhs.ndims () == 0)
    lhs.resize_no_fill (0, 0);

  return (lhs.ndims () == 2
	  && (n_idx == 1
	      || (n_idx < 3
		  && rhs.ndims () == 2
		  && rhs.rows () == 0 && rhs.columns () == 0)))
    ? assign2 (lhs, rhs, rfv) : assignN (lhs, rhs, rfv);
}

template <class LT, class RT>
int
assign1 (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv)
{
  int retval = 1;

  idx_vector *tmp = lhs.get_idx ();

  idx_vector lhs_idx = tmp[0];

  octave_idx_type lhs_len = lhs.length ();
  octave_idx_type rhs_len = rhs.length ();

  octave_idx_type n = lhs_idx.freeze (lhs_len, "vector", true);

  if (n != 0)
    {
      dim_vector lhs_dims = lhs.dims ();

      if (lhs_len == 0 && ! lhs_dims.all_zero ())
	{
	  (*current_liboctave_error_handler)
	    ("A(I) = X: unable to resize A");

	  retval = 0;
	}
      else
	{
	  if (rhs_len == n || rhs_len == 1)
	    {
	      lhs.make_unique ();

	      octave_idx_type max_idx = lhs_idx.max () + 1;
	      if (max_idx > lhs_len)
		lhs.resize_and_fill (max_idx, rfv);
	    }

	  if (rhs_len == n)
	    {
	      lhs.make_unique ();

	      if (lhs_idx.is_colon ())
		{
		  for (octave_idx_type i = 0; i < n; i++)
		    lhs.xelem (i) = rhs.elem (i);
		}
	      else
		{
		  for (octave_idx_type i = 0; i < n; i++)
		    {
		      octave_idx_type ii = lhs_idx.elem (i);
		      lhs.xelem (ii) = rhs.elem (i);
		    }
		}
	    }
	  else if (rhs_len == 1)
	    {
	      lhs.make_unique ();

	      RT scalar = rhs.elem (0);

	      if (lhs_idx.is_colon ())
		{
		  for (octave_idx_type i = 0; i < n; i++)
		    lhs.xelem (i) = scalar;
		}
	      else
		{
		  for (octave_idx_type i = 0; i < n; i++)
		    {
		      octave_idx_type ii = lhs_idx.elem (i);
		      lhs.xelem (ii) = scalar;
		    }
		}
	    }
	  else
	    {
	      (*current_liboctave_error_handler)
		("A(I) = X: X must be a scalar or a vector with same length as I");

	      retval = 0;
	    }
	}
    }
  else if (lhs_idx.is_colon ())
    {
      dim_vector lhs_dims = lhs.dims ();

      if (lhs_dims.all_zero ())
	{
	  lhs.make_unique ();

	  lhs.resize_no_fill (rhs_len);

	  for (octave_idx_type i = 0; i < rhs_len; i++)
	    lhs.xelem (i) = rhs.elem (i);
	}
      else if (rhs_len != lhs_len)
	(*current_liboctave_error_handler)
	  ("A(:) = X: A must be the same size as X");
    }
  else if (! (rhs_len == 1 || rhs_len == 0))
    {
      (*current_liboctave_error_handler)
	("A([]) = X: X must also be an empty matrix or a scalar");

      retval = 0;
    }

  lhs.clear_index ();

  return retval;
}

#define MAYBE_RESIZE_LHS \
  do \
    { \
      octave_idx_type max_row_idx = idx_i_is_colon ? rhs_nr : idx_i.max () + 1; \
      octave_idx_type max_col_idx = idx_j_is_colon ? rhs_nc : idx_j.max () + 1; \
 \
      octave_idx_type new_nr = max_row_idx > lhs_nr ? max_row_idx : lhs_nr; \
      octave_idx_type new_nc = max_col_idx > lhs_nc ? max_col_idx : lhs_nc; \
 \
      lhs.resize_and_fill (new_nr, new_nc, rfv); \
    } \
  while (0)

template <class LT, class RT>
int
assign2 (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv)
{
  int retval = 1;

  int n_idx = lhs.index_count ();

  octave_idx_type lhs_nr = lhs.rows ();
  octave_idx_type lhs_nc = lhs.cols ();

  Array<RT> xrhs = rhs;

  octave_idx_type rhs_nr = xrhs.rows ();
  octave_idx_type rhs_nc = xrhs.cols ();

  if (xrhs.ndims () > 2)
    {
      xrhs = xrhs.squeeze ();

      dim_vector dv_tmp = xrhs.dims ();

      switch (dv_tmp.length ())
	{
	case 1:
	  // FIXME -- this case should be unnecessary, because
	  // squeeze should always return an object with 2 dimensions.
	  if (rhs_nr == 1)
	    rhs_nc = dv_tmp.elem (0);
	  break;

	case 2:
	  rhs_nr = dv_tmp.elem (0);
	  rhs_nc = dv_tmp.elem (1);
	  break;

	default:
	  (*current_liboctave_error_handler)
	    ("Array<T>::assign2: Dimension mismatch");
	  return 0;
	}
    }

  bool rhs_is_scalar = rhs_nr == 1 && rhs_nc == 1;

  idx_vector *tmp = lhs.get_idx ();

  idx_vector idx_i;
  idx_vector idx_j;

  if (n_idx > 1)
    idx_j = tmp[1];

  if (n_idx > 0)
    idx_i = tmp[0];

  if (n_idx == 2)
    {
      octave_idx_type n = idx_i.freeze (lhs_nr, "row", true);
      octave_idx_type m = idx_j.freeze (lhs_nc, "column", true);

      int idx_i_is_colon = idx_i.is_colon ();
      int idx_j_is_colon = idx_j.is_colon ();

      if (lhs_nr == 0 && lhs_nc == 0)
	{
	  if (idx_i_is_colon)
	    n = rhs_nr;

	  if (idx_j_is_colon)
	    m = rhs_nc;
	}

      if (idx_i && idx_j)
	{
	  if (rhs_nr == 0 && rhs_nc == 0)
	    {
	      lhs.maybe_delete_elements (idx_i, idx_j);
	    }
	  else
	    {
	      if (rhs_is_scalar && n >= 0 && m >= 0)
		{
		  // No need to do anything if either of the indices
		  // are empty.

		  if (n > 0 && m > 0)
		    {
		      lhs.make_unique ();

		      MAYBE_RESIZE_LHS;

		      RT scalar = xrhs.elem (0, 0);

		      for (octave_idx_type j = 0; j < m; j++)
			{
			  octave_idx_type jj = idx_j.elem (j);
			  for (octave_idx_type i = 0; i < n; i++)
			    {
			      octave_idx_type ii = idx_i.elem (i);
			      lhs.xelem (ii, jj) = scalar;
			    }
			}
		    }
		}
	      else if ((n == 1 || m == 1)
		       && (rhs_nr == 1 || rhs_nc == 1)
		       && n * m == rhs_nr * rhs_nc)
		{
		  lhs.make_unique ();

		  MAYBE_RESIZE_LHS;

		  if (n > 0 && m > 0)
		    {
		      octave_idx_type k = 0;

		      for (octave_idx_type j = 0; j < m; j++)
			{
			  octave_idx_type jj = idx_j.elem (j);
			  for (octave_idx_type i = 0; i < n; i++)
			    {
			      octave_idx_type ii = idx_i.elem (i);
			      lhs.xelem (ii, jj) = xrhs.elem (k++);
			    }
			}
		    }
		}
	      else if (n == rhs_nr && m == rhs_nc)
		{
		  lhs.make_unique ();

		  MAYBE_RESIZE_LHS;

		  if (n > 0 && m > 0)
		    {
		      for (octave_idx_type j = 0; j < m; j++)
			{
			  octave_idx_type jj = idx_j.elem (j);
			  for (octave_idx_type i = 0; i < n; i++)
			    {
			      octave_idx_type ii = idx_i.elem (i);
			      lhs.xelem (ii, jj) = xrhs.elem (i, j);
			    }
			}
		    }
		}
	      else if (n == 0 && m == 0)
		{
		  if (! (rhs_is_scalar || (rhs_nr == 0 || rhs_nc == 0)))
		    {
		      (*current_liboctave_error_handler)
		("A([], []) = X: X must be an empty matrix or a scalar");

		      retval = 0;
		    }
		}
	      else
		{
		  (*current_liboctave_error_handler)
    ("A(I, J) = X: X must be a scalar or the number of elements in I must");
		  (*current_liboctave_error_handler)
    ("match the number of rows in X and the number of elements in J must");
		  (*current_liboctave_error_handler)
    ("match the number of columns in X");

		  retval = 0;
		}
	    }
	}
      // idx_vector::freeze() printed an error message for us.
    }
  else if (n_idx == 1)
    {
      int lhs_is_empty = lhs_nr == 0 || lhs_nc == 0;

      if (lhs_is_empty || (lhs_nr == 1 && lhs_nc == 1))
	{
	  octave_idx_type lhs_len = lhs.length ();

	  idx_i.freeze (lhs_len, 0, true);

	  if (idx_i)
	    {
	      if (rhs_nr == 0 && rhs_nc == 0)
		{
		  lhs.maybe_delete_elements (idx_i);
		}
	      else
		{
		  if (lhs_is_empty
		      && idx_i.is_colon ()
		      && ! (rhs_nr == 1 || rhs_nc == 1))
		    {
		      (*current_liboctave_warning_with_id_handler)
			("Octave:fortran-indexing",
			 "A(:) = X: X is not a vector or scalar");
		    }
		  else
		    {
		      octave_idx_type idx_nr = idx_i.orig_rows ();
		      octave_idx_type idx_nc = idx_i.orig_columns ();

		      if (! (rhs_nr == idx_nr && rhs_nc == idx_nc))
			(*current_liboctave_warning_with_id_handler)
			  ("Octave:fortran-indexing",
			   "A(I) = X: X does not have same shape as I");
		    }

		  if (assign1 (lhs, xrhs, rfv))
		    {
		      octave_idx_type len = lhs.length ();

		      if (len > 0)
			{
			  // The following behavior is much simplified
			  // over previous versions of Octave.  It
			  // seems to be compatible with Matlab.

			  lhs.dimensions = dim_vector (1, lhs.length ());
			}
		    }
		  else
		    retval = 0;
		}
	    }
	  // idx_vector::freeze() printed an error message for us.
	}
      else if (lhs_nr == 1)
	{
	  idx_i.freeze (lhs_nc, "vector", true);

	  if (idx_i)
	    {
	      if (rhs_nr == 0 && rhs_nc == 0)
		lhs.maybe_delete_elements (idx_i);
	      else
		{
		  if (assign1 (lhs, xrhs, rfv))
		    lhs.dimensions = dim_vector (1, lhs.length ());
		  else
		    retval = 0;
		}
	    }
	  // idx_vector::freeze() printed an error message for us.
	}
      else if (lhs_nc == 1)
	{
	  idx_i.freeze (lhs_nr, "vector", true);

	  if (idx_i)
	    {
	      if (rhs_nr == 0 && rhs_nc == 0)
		lhs.maybe_delete_elements (idx_i);
	      else
		{
		  if (assign1 (lhs, xrhs, rfv))
		    lhs.dimensions = dim_vector (lhs.length (), 1);
		  else
		    retval = 0;
		}
	    }
	  // idx_vector::freeze() printed an error message for us.
	}
      else
	{
	  if (! (idx_i.is_colon ()
		 || (idx_i.one_zero_only ()
		     && idx_i.orig_rows () == lhs_nr
		     && idx_i.orig_columns () == lhs_nc)))
	    (*current_liboctave_warning_with_id_handler)
	      ("Octave:fortran-indexing", "single index used for matrix");

	  octave_idx_type len = idx_i.freeze (lhs_nr * lhs_nc, "matrix");

	  if (idx_i)
	    {
	      if (rhs_nr == 0 && rhs_nc == 0)
		lhs.maybe_delete_elements (idx_i);
	      else if (len == 0)
		{
		  if (! (rhs_is_scalar || (rhs_nr == 0 || rhs_nc == 0)))
		    (*current_liboctave_error_handler)
		      ("A([]) = X: X must be an empty matrix or scalar");
		}
	      else if (len == rhs_nr * rhs_nc)
		{
		  lhs.make_unique ();

		  if (idx_i.is_colon ())
		    {
		      for (octave_idx_type i = 0; i < len; i++)
			lhs.xelem (i) = xrhs.elem (i);
		    }
		  else
		    {
		      for (octave_idx_type i = 0; i < len; i++)
			{
			  octave_idx_type ii = idx_i.elem (i);
			  lhs.xelem (ii) = xrhs.elem (i);
			}
		    }
		}
	      else if (rhs_is_scalar)
		{
		  lhs.make_unique ();

		  RT scalar = rhs.elem (0, 0);

		  if (idx_i.is_colon ())
		    {
		      for (octave_idx_type i = 0; i < len; i++)
			lhs.xelem (i) = scalar;
		    }
		  else
		    {
		      for (octave_idx_type i = 0; i < len; i++)
			{
			  octave_idx_type ii = idx_i.elem (i);
			  lhs.xelem (ii) = scalar;
			}
		    }
		}
	      else
		{
		  (*current_liboctave_error_handler)
      ("A(I) = X: X must be a scalar or a matrix with the same size as I");

		  retval = 0;
		}
	    }
	  // idx_vector::freeze() printed an error message for us.
	}
    }
  else
    {
      (*current_liboctave_error_handler)
	("invalid number of indices for matrix expression");

      retval = 0;
    }

  lhs.clear_index ();

  return retval;
}

template <class LT, class RT>
int
assignN (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv)
{
  int retval = 1;

  dim_vector rhs_dims = rhs.dims ();

  octave_idx_type rhs_dims_len = rhs_dims.length ();

  bool rhs_is_scalar = is_scalar (rhs_dims);

  int n_idx = lhs.index_count ();

  idx_vector *idx_vex = lhs.get_idx ();

  Array<idx_vector> idx = conv_to_array (idx_vex, n_idx);

  if (rhs_dims_len == 2 && rhs_dims(0) == 0 && rhs_dims(1) == 0)
    {
      lhs.maybe_delete_elements (idx, rfv);
    }
  else if (n_idx == 0)
    {
      (*current_liboctave_error_handler)
	("invalid number of indices for matrix expression");

      retval = 0;
    }
  else if (n_idx == 1)
    {
      idx_vector iidx = idx(0);
      int iidx_is_colon = iidx.is_colon ();

      if (! (iidx_is_colon
	     || (iidx.one_zero_only ()
		 && iidx.orig_dimensions () == lhs.dims ())))
	(*current_liboctave_warning_with_id_handler)
	  ("Octave:fortran-indexing", "single index used for N-d array");

      octave_idx_type lhs_len = lhs.length ();

      octave_idx_type len = iidx.freeze (lhs_len, "N-d arrray");

      if (iidx)
	{
	  if (len == 0)
	    {
	      if (! (rhs_dims.all_ones () || rhs_dims.any_zero ()))
		{
		  (*current_liboctave_error_handler)
		    ("A([]) = X: X must be an empty matrix or scalar");

		  retval = 0;
		}
	    }
	  else if (len == rhs.length ())
	    {
	      lhs.make_unique ();

	      if (iidx_is_colon)
		{
		  for (octave_idx_type i = 0; i < len; i++)
		    lhs.xelem (i) = rhs.elem (i);
		}
	      else
		{
		  for (octave_idx_type i = 0; i < len; i++)
		    {
		      octave_idx_type ii = iidx.elem (i);

		      lhs.xelem (ii) = rhs.elem (i);
		    }
		}
	    }
	  else if (rhs_is_scalar)
	    {
	      RT scalar = rhs.elem (0);

	      lhs.make_unique ();

	      if (iidx_is_colon)
		{
		  for (octave_idx_type i = 0; i < len; i++)
		    lhs.xelem (i) = scalar;
		}
	      else
		{
		  for (octave_idx_type i = 0; i < len; i++)
		    {
		      octave_idx_type ii = iidx.elem (i);

		      lhs.xelem (ii) = scalar;
		    }
		}
	    }
	  else
	    {
	      (*current_liboctave_error_handler)
		("A(I) = X: X must be a scalar or a matrix with the same size as I");

	      retval = 0;
	    }

	  // idx_vector::freeze() printed an error message for us.
	}
    }
  else
    {
      // Maybe expand to more dimensions.

      dim_vector lhs_dims = lhs.dims ();

      octave_idx_type lhs_dims_len = lhs_dims.length ();

      dim_vector final_lhs_dims = lhs_dims;

      dim_vector frozen_len;

      octave_idx_type orig_lhs_dims_len = lhs_dims_len;

      bool orig_empty = lhs_dims.all_zero ();

      if (n_idx < lhs_dims_len)
	{
	  // Collapse dimensions beyond last index.  Note that we
	  // delay resizing LHS until we know that the assignment will
	  // succeed.

	  if (! (idx(n_idx-1).is_colon ()))
	    (*current_liboctave_warning_with_id_handler)
	      ("Octave:fortran-indexing",
	       "fewer indices than dimensions for N-d array");

	  for (int i = n_idx; i < lhs_dims_len; i++)
	    lhs_dims(n_idx-1) *= lhs_dims(i);

	  lhs_dims.resize (n_idx);

	  lhs_dims_len = lhs_dims.length ();
	}

      // Resize.

      dim_vector new_dims;
      new_dims.resize (n_idx);

      if (orig_empty)
	{
	  int k = 0;
	  for (int i = 0; i < n_idx; i++)
	    {
	      // If index is a colon, resizing to RHS dimensions is
	      // allowed because we started out empty.

	      if (idx(i).is_colon ())
		{
		  if (k < rhs_dims.length ())
		    new_dims(i) = rhs_dims(k++);
		  else
		    new_dims(i) = 1;
		}
	      else
		{
		  octave_idx_type nelem = idx(i).capacity ();

		  if (nelem >= 1
		      && ((k < rhs_dims.length () && nelem == rhs_dims(k))
			  || rhs_is_scalar))
		    k++;
		  else if (! (nelem == 1 || rhs_is_scalar))
		    {
		      (*current_liboctave_error_handler)
			("A(IDX-LIST) = RHS: mismatched index and RHS dimension");
		      return retval;
		    }

		  new_dims(i) = idx(i).orig_empty () ? 0 : idx(i).max () + 1;
		}
	    }
	}
      else
	{
	  for (int i = 0; i < n_idx; i++)
	    {
	      // We didn't start out with all zero dimensions, so if
	      // index is a colon, it refers to the current LHS
	      // dimension.  Otherwise, it is OK to enlarge to a
	      // dimension given by the largest index, but if that
	      // index is a colon the new dimension is singleton.

	      if (i < lhs_dims_len
		  && (idx(i).is_colon ()
		      || idx(i).orig_empty ()
		      || idx(i).max () < lhs_dims(i)))
		new_dims(i) = lhs_dims(i);
	      else if (! idx(i).is_colon ())
		new_dims(i) = idx(i).max () + 1;
	      else
		new_dims(i) = 1;
	    }
	}

      if (retval != 0)
	{
	  if (! orig_empty
	      && n_idx < orig_lhs_dims_len
	      && new_dims(n_idx-1) != lhs_dims(n_idx-1))
	    {
	      // We reshaped and the last dimension changed.  This has to
	      // be an error, because we don't know how to undo that
	      // later...

	      (*current_liboctave_error_handler)
		("array index %d (= %d) for assignment requires invalid resizing operation",
		 n_idx, new_dims(n_idx-1));

	      retval = 0;
	    }
	  else
	    {
	      // Determine final dimensions for LHS and reset the
	      // current size of the LHS.  Note that we delay actually
	      // resizing LHS until we know that the assignment will
	      // succeed.

	      if (n_idx < orig_lhs_dims_len)
		{
		  for (int i = 0; i < n_idx-1; i++)
		    final_lhs_dims(i) = new_dims(i);
		}
	      else
		final_lhs_dims = new_dims;

	      lhs_dims_len = new_dims.length ();

	      frozen_len = freeze (idx, new_dims, true);

	      for (int i = 0; i < idx.length (); i++)
		{
		  if (! idx(i))
		    {
		      retval = 0;
		      lhs.clear_index ();
		      return retval;
		    }
		}

	      if (rhs_is_scalar)
		{
		  lhs.make_unique ();

		  if (n_idx < orig_lhs_dims_len)
		    lhs = lhs.reshape (lhs_dims);

		  lhs.resize_and_fill (new_dims, rfv);

		  if  (! final_lhs_dims.any_zero ())
		    {
		      RT scalar = rhs.elem (0);

		      if (n_idx == 1)
			{
			  idx_vector iidx = idx(0);

			  octave_idx_type len = frozen_len(0);

			  if (iidx.is_colon ())
			    {
			      for (octave_idx_type i = 0; i < len; i++)
				lhs.xelem (i) = scalar;
			    }
			  else
			    {
			      for (octave_idx_type i = 0; i < len; i++)
				{
				  octave_idx_type ii = iidx.elem (i);

				  lhs.xelem (ii) = scalar;
				}
			    }
			}
		      else if (lhs_dims_len == 2 && n_idx == 2)
			{
			  idx_vector idx_i = idx(0);
			  idx_vector idx_j = idx(1);

			  octave_idx_type i_len = frozen_len(0);
			  octave_idx_type j_len = frozen_len(1);

			  if (idx_i.is_colon())
			    {
			      for (octave_idx_type j = 0; j < j_len; j++)
				{
				  octave_idx_type off = new_dims (0) *
				    idx_j.elem (j);
				  for (octave_idx_type i = 0; i < i_len; i++)
				    lhs.xelem (i + off) = scalar;
				}
			    }
			  else
			    {
			      for (octave_idx_type j = 0; j < j_len; j++)
				{
				  octave_idx_type off = new_dims (0) *
				    idx_j.elem (j);
				  for (octave_idx_type i = 0; i < i_len; i++)
				    {
				      octave_idx_type ii = idx_i.elem (i);
				      lhs.xelem (ii + off) = scalar;
				    }
				}
			    }
			}
		      else
			{
			  octave_idx_type n = Array<LT>::get_size (frozen_len);

			  Array<octave_idx_type> result_idx (lhs_dims_len, 0);

			  for (octave_idx_type i = 0; i < n; i++)
			    {
			      Array<octave_idx_type> elt_idx = get_elt_idx (idx, result_idx);

			      lhs.xelem (elt_idx) = scalar;

			      increment_index (result_idx, frozen_len);
			    }
			}
		    }
		}
	      else
		{
		  // RHS is matrix or higher dimension.

		  octave_idx_type n = Array<LT>::get_size (frozen_len);

		  if (n != rhs.numel ())
		    {
		      (*current_liboctave_error_handler)
			("A(IDX-LIST) = X: X must be a scalar or size of X must equal number of elements indexed by IDX-LIST");

			  retval = 0;
		    }
		  else
		    {
		      lhs.make_unique ();

		      if (n_idx < orig_lhs_dims_len)
			lhs = lhs.reshape (lhs_dims);

		      lhs.resize_and_fill (new_dims, rfv);

		      if  (! final_lhs_dims.any_zero ())
			{
			  if (n_idx == 1)
			    {
			      idx_vector iidx = idx(0);

			      octave_idx_type len = frozen_len(0);

			      if (iidx.is_colon ())
				{
				  for (octave_idx_type i = 0; i < len; i++)
				    lhs.xelem (i) = rhs.elem (i);
				}
			      else
				{
				  for (octave_idx_type i = 0; i < len; i++)
				    {
				      octave_idx_type ii = iidx.elem (i);

				      lhs.xelem (ii) = rhs.elem (i);
				    }
				}
			    }
			  else if (lhs_dims_len == 2 && n_idx == 2)
			    {
			      idx_vector idx_i = idx(0);
			      idx_vector idx_j = idx(1);

			      octave_idx_type i_len = frozen_len(0);
			      octave_idx_type j_len = frozen_len(1);
			      octave_idx_type k = 0;

			      if (idx_i.is_colon())
				{
				  for (octave_idx_type j = 0; j < j_len; j++)
				    {
				      octave_idx_type off = new_dims (0) * 
					idx_j.elem (j);
				      for (octave_idx_type i = 0; 
					   i < i_len; i++)
					lhs.xelem (i + off) = rhs.elem (k++);
				    }
				}
			      else
				{
				  for (octave_idx_type j = 0; j < j_len; j++)
				    {
				      octave_idx_type off = new_dims (0) * 
					idx_j.elem (j);
				      for (octave_idx_type i = 0; i < i_len; i++)
					{
					  octave_idx_type ii = idx_i.elem (i);
					  lhs.xelem (ii + off) = rhs.elem (k++);
					}
				    }
				}

			    }
			  else
			    {
			      n = Array<LT>::get_size (frozen_len);

			      Array<octave_idx_type> result_idx (lhs_dims_len, 0);

			      for (octave_idx_type i = 0; i < n; i++)
				{
				  Array<octave_idx_type> elt_idx = get_elt_idx (idx, result_idx);

				  lhs.xelem (elt_idx) = rhs.elem (i);

				  increment_index (result_idx, frozen_len);
				}
			    }
			}
		    }
		}
	    }
	}

      lhs.clear_index ();

      if (retval != 0)
	lhs = lhs.reshape (final_lhs_dims);
    }

  if (retval != 0)
    lhs.chop_trailing_singletons ();

  lhs.clear_index ();

  return retval;
}

template <class T>
void
Array<T>::print_info (std::ostream& os, const std::string& prefix) const
{
  os << prefix << "rep address: " << rep << "\n"
     << prefix << "rep->len:    " << rep->len << "\n"
     << prefix << "rep->data:   " << static_cast<void *> (rep->data) << "\n"
     << prefix << "rep->count:  " << rep->count << "\n";

  // 2D info:
  //
  //     << pefix << "rows: " << rows () << "\n"
  //     << prefix << "cols: " << cols () << "\n";
}

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