/usr/include/octave-4.0.3/octave/ov-base-diag.cc is in liboctave-dev 4.0.3-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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Copyright (C) 2008-2015 Jaroslav Hajek
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 <iostream>
#include "mach-info.h"
#include "lo-ieee.h"
#include "mxarray.h"
#include "ov-base.h"
#include "ov-base-mat.h"
#include "pr-output.h"
#include "error.h"
#include "gripes.h"
#include "oct-stream.h"
#include "ops.h"
#include "ls-oct-ascii.h"
template <class DMT, class MT>
octave_value
octave_base_diag<DMT, MT>::subsref (const std::string& type,
const std::list<octave_value_list>& idx)
{
octave_value retval;
switch (type[0])
{
case '(':
retval = do_index_op (idx.front ());
break;
case '{':
case '.':
{
std::string nm = type_name ();
error ("%s cannot be indexed with %c", nm.c_str (), type[0]);
}
break;
default:
panic_impossible ();
}
return retval.next_subsref (type, idx);
}
template <class DMT, class MT>
octave_value
octave_base_diag<DMT,MT>::diag (octave_idx_type k) const
{
octave_value retval;
if (matrix.rows () == 1 || matrix.cols () == 1)
{
// Rather odd special case. This is a row or column vector
// represented as a diagonal matrix with a single nonzero entry, but
// Fdiag semantics are to product a diagonal matrix for vector
// inputs.
if (k == 0)
// Returns Diag2Array<T> with nnz <= 1.
retval = matrix.build_diag_matrix ();
else
// Returns Array<T> matrix
retval = matrix.array_value ().diag (k);
}
else
// Returns Array<T> vector
retval = matrix.extract_diag (k);
return retval;
}
template <class DMT, class MT>
octave_value
octave_base_diag<DMT, MT>::do_index_op (const octave_value_list& idx,
bool resize_ok)
{
octave_value retval;
if (idx.length () == 2 && ! resize_ok)
{
idx_vector idx0 = idx(0).index_vector ();
idx_vector idx1 = idx(1).index_vector ();
if (idx0.is_scalar () && idx1.is_scalar ())
{
retval = matrix.checkelem (idx0(0), idx1(0));
}
else
{
octave_idx_type m = idx0.length (matrix.rows ());
octave_idx_type n = idx1.length (matrix.columns ());
if (idx0.is_colon_equiv (m) && idx1.is_colon_equiv (n)
&& m <= matrix.rows () && n <= matrix.rows ())
{
DMT rm (matrix);
rm.resize (m, n);
retval = rm;
}
else
retval = to_dense ().do_index_op (idx, resize_ok);
}
}
else
retval = to_dense ().do_index_op (idx, resize_ok);
return retval;
}
template <class DMT, class MT>
octave_value
octave_base_diag<DMT, MT>::subsasgn (const std::string& type,
const std::list<octave_value_list>& idx,
const octave_value& rhs)
{
octave_value retval;
switch (type[0])
{
case '(':
{
if (type.length () == 1)
{
octave_value_list jdx = idx.front ();
// Check for a simple element assignment. That means, if D is a
// diagonal matrix, 'D(i,i) = x' will not destroy its diagonality
// (provided i is a valid index).
if (jdx.length () == 2
&& jdx(0).is_scalar_type () && jdx(1).is_scalar_type ())
{
typename DMT::element_type val;
idx_vector i0 = jdx(0).index_vector ();
idx_vector i1 = jdx(1).index_vector ();
if (! error_state && i0(0) == i1(0)
&& i0(0) < matrix.rows () && i1(0) < matrix.cols ()
&& chk_valid_scalar (rhs, val))
{
matrix.dgelem (i0(0)) = val;
retval = this;
this->count++;
// invalidate cache
dense_cache = octave_value ();
}
}
if (! error_state && ! retval.is_defined ())
retval = numeric_assign (type, idx, rhs);
}
else
{
std::string nm = type_name ();
error ("in indexed assignment of %s, last lhs index must be ()",
nm.c_str ());
}
}
break;
case '{':
case '.':
{
if (is_empty ())
{
octave_value tmp = octave_value::empty_conv (type, rhs);
retval = tmp.subsasgn (type, idx, rhs);
}
else
{
std::string nm = type_name ();
error ("%s cannot be indexed with %c", nm.c_str (), type[0]);
}
}
break;
default:
panic_impossible ();
}
return retval;
}
template <class DMT, class MT>
octave_value
octave_base_diag<DMT, MT>::resize (const dim_vector& dv, bool fill) const
{
octave_value retval;
if (dv.length () == 2)
{
DMT rm (matrix);
rm.resize (dv(0), dv(1));
retval = rm;
}
else
retval = to_dense ().resize (dv, fill);
return retval;
}
template <class DMT, class MT>
bool
octave_base_diag<DMT, MT>::is_true (void) const
{
return to_dense ().is_true ();
}
// FIXME: This should be achieveable using ::real
template <class T> inline T helper_getreal (T x) { return x; }
template <class T> inline T helper_getreal (std::complex<T> x)
{ return x.real (); }
// FIXME: We really need some traits so that ad hoc hooks like this
// are not necessary.
template <class T> inline T helper_iscomplex (T) { return false; }
template <class T> inline T helper_iscomplex (std::complex<T>) { return true; }
template <class DMT, class MT>
double
octave_base_diag<DMT, MT>::double_value (bool force_conversion) const
{
double retval = lo_ieee_nan_value ();
typedef typename DMT::element_type el_type;
if (helper_iscomplex (el_type ()) && ! force_conversion)
gripe_implicit_conversion ("Octave:imag-to-real",
"complex matrix", "real scalar");
if (numel () > 0)
{
gripe_implicit_conversion ("Octave:array-to-scalar",
type_name (), "real scalar");
retval = helper_getreal (el_type (matrix (0, 0)));
}
else
gripe_invalid_conversion (type_name (), "real scalar");
return retval;
}
template <class DMT, class MT>
float
octave_base_diag<DMT, MT>::float_value (bool force_conversion) const
{
float retval = lo_ieee_float_nan_value ();
typedef typename DMT::element_type el_type;
if (helper_iscomplex (el_type ()) && ! force_conversion)
gripe_implicit_conversion ("Octave:imag-to-real",
"complex matrix", "real scalar");
if (numel () > 0)
{
gripe_implicit_conversion ("Octave:array-to-scalar",
type_name (), "real scalar");
retval = helper_getreal (el_type (matrix (0, 0)));
}
else
gripe_invalid_conversion (type_name (), "real scalar");
return retval;
}
template <class DMT, class MT>
Complex
octave_base_diag<DMT, MT>::complex_value (bool) const
{
double tmp = lo_ieee_nan_value ();
Complex retval (tmp, tmp);
if (rows () > 0 && columns () > 0)
{
gripe_implicit_conversion ("Octave:array-to-scalar",
type_name (), "complex scalar");
retval = matrix (0, 0);
}
else
gripe_invalid_conversion (type_name (), "complex scalar");
return retval;
}
template <class DMT, class MT>
FloatComplex
octave_base_diag<DMT, MT>::float_complex_value (bool) const
{
float tmp = lo_ieee_float_nan_value ();
FloatComplex retval (tmp, tmp);
if (rows () > 0 && columns () > 0)
{
gripe_implicit_conversion ("Octave:array-to-scalar",
type_name (), "complex scalar");
retval = matrix (0, 0);
}
else
gripe_invalid_conversion (type_name (), "complex scalar");
return retval;
}
template <class DMT, class MT>
Matrix
octave_base_diag<DMT, MT>::matrix_value (bool) const
{
return Matrix (diag_matrix_value ());
}
template <class DMT, class MT>
FloatMatrix
octave_base_diag<DMT, MT>::float_matrix_value (bool) const
{
return FloatMatrix (float_diag_matrix_value ());
}
template <class DMT, class MT>
ComplexMatrix
octave_base_diag<DMT, MT>::complex_matrix_value (bool) const
{
return ComplexMatrix (complex_diag_matrix_value ());
}
template <class DMT, class MT>
FloatComplexMatrix
octave_base_diag<DMT, MT>::float_complex_matrix_value (bool) const
{
return FloatComplexMatrix (float_complex_diag_matrix_value ());
}
template <class DMT, class MT>
NDArray
octave_base_diag<DMT, MT>::array_value (bool) const
{
return NDArray (matrix_value ());
}
template <class DMT, class MT>
FloatNDArray
octave_base_diag<DMT, MT>::float_array_value (bool) const
{
return FloatNDArray (float_matrix_value ());
}
template <class DMT, class MT>
ComplexNDArray
octave_base_diag<DMT, MT>::complex_array_value (bool) const
{
return ComplexNDArray (complex_matrix_value ());
}
template <class DMT, class MT>
FloatComplexNDArray
octave_base_diag<DMT, MT>::float_complex_array_value (bool) const
{
return FloatComplexNDArray (float_complex_matrix_value ());
}
template <class DMT, class MT>
boolNDArray
octave_base_diag<DMT, MT>::bool_array_value (bool warn) const
{
return to_dense ().bool_array_value (warn);
}
template <class DMT, class MT>
charNDArray
octave_base_diag<DMT, MT>::char_array_value (bool warn) const
{
return to_dense ().char_array_value (warn);
}
template <class DMT, class MT>
SparseMatrix
octave_base_diag<DMT, MT>::sparse_matrix_value (bool) const
{
return SparseMatrix (diag_matrix_value ());
}
template <class DMT, class MT>
SparseComplexMatrix
octave_base_diag<DMT, MT>::sparse_complex_matrix_value (bool) const
{
return SparseComplexMatrix (complex_diag_matrix_value ());
}
template <class DMT, class MT>
idx_vector
octave_base_diag<DMT, MT>::index_vector (bool require_integers) const
{
return to_dense ().index_vector (require_integers);
}
template <class DMT, class MT>
octave_value
octave_base_diag<DMT, MT>::convert_to_str_internal (bool pad, bool force,
char type) const
{
return to_dense ().convert_to_str_internal (pad, force, type);
}
template <class DMT, class MT>
bool
octave_base_diag<DMT, MT>::save_ascii (std::ostream& os)
{
os << "# rows: " << matrix.rows () << "\n"
<< "# columns: " << matrix.columns () << "\n";
os << matrix.extract_diag ();
return true;
}
template <class DMT, class MT>
bool
octave_base_diag<DMT, MT>::load_ascii (std::istream& is)
{
octave_idx_type r = 0;
octave_idx_type c = 0;
bool success = true;
if (extract_keyword (is, "rows", r, true)
&& extract_keyword (is, "columns", c, true))
{
octave_idx_type l = r < c ? r : c;
MT tmp (l, 1);
is >> tmp;
if (!is)
{
error ("load: failed to load diagonal matrix constant");
success = false;
}
else
{
// This is a little tricky, as we have the Matrix type, but
// not ColumnVector type. We need to help the compiler get
// through the inheritance tree.
typedef typename DMT::element_type el_type;
matrix = DMT (MDiagArray2<el_type> (MArray<el_type> (tmp)));
matrix.resize (r, c);
// Invalidate cache. Probably not necessary, but safe.
dense_cache = octave_value ();
}
}
else
{
error ("load: failed to extract number of rows and columns");
success = false;
}
return success;
}
template <class DMT, class MT>
void
octave_base_diag<DMT, MT>::print_raw (std::ostream& os,
bool pr_as_read_syntax) const
{
return octave_print_internal (os, matrix, pr_as_read_syntax,
current_print_indent_level ());
}
template <class DMT, class MT>
mxArray *
octave_base_diag<DMT, MT>::as_mxArray (void) const
{
return to_dense ().as_mxArray ();
}
template <class DMT, class MT>
bool
octave_base_diag<DMT, MT>::print_as_scalar (void) const
{
dim_vector dv = dims ();
return (dv.all_ones () || dv.any_zero ());
}
template <class DMT, class MT>
void
octave_base_diag<DMT, MT>::print (std::ostream& os, bool pr_as_read_syntax)
{
print_raw (os, pr_as_read_syntax);
newline (os);
}
template <class DMT, class MT>
int
octave_base_diag<DMT, MT>::write (octave_stream& os, int block_size,
oct_data_conv::data_type output_type,
int skip,
oct_mach_info::float_format flt_fmt) const
{
return to_dense ().write (os, block_size, output_type, skip, flt_fmt);
}
template <class DMT, class MT>
void
octave_base_diag<DMT, MT>::print_info (std::ostream& os,
const std::string& prefix) const
{
matrix.print_info (os, prefix);
}
template <class DMT, class MT>
octave_value
octave_base_diag<DMT, MT>::fast_elem_extract (octave_idx_type n) const
{
if (n < matrix.numel ())
{
octave_idx_type nr = matrix.rows ();
octave_idx_type r = n % nr;
octave_idx_type c = n / nr;
return octave_value (matrix.elem (r, c));
}
else
return octave_value ();
}
template <class DMT, class MT>
octave_value
octave_base_diag<DMT, MT>::to_dense (void) const
{
if (! dense_cache.is_defined ())
dense_cache = MT (matrix);
return dense_cache;
}
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