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/*
Copyright (C) 1996-2015 John W. Eaton
Copyright (C) 2009-2010 VZLU Prague
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 <limits>
#include <vector>
#include "data-conv.h"
#include "lo-ieee.h"
#include "lo-utils.h"
#include "lo-specfun.h"
#include "lo-mappers.h"
#include "mach-info.h"
#include "mx-base.h"
#include "quit.h"
#include "oct-locbuf.h"
#include "defun.h"
#include "gripes.h"
#include "mxarray.h"
#include "oct-obj.h"
#include "oct-lvalue.h"
#include "oct-hdf5.h"
#include "oct-stream.h"
#include "ops.h"
#include "ov-base.h"
#include "ov-base-mat.h"
#include "ov-base-mat.cc"
#include "ov-scalar.h"
#include "ov-re-mat.h"
#include "ov-flt-re-mat.h"
#include "ov-complex.h"
#include "ov-cx-mat.h"
#include "ov-re-sparse.h"
#include "ov-re-diag.h"
#include "ov-cx-diag.h"
#include "ov-lazy-idx.h"
#include "ov-perm.h"
#include "ov-type-conv.h"
#include "pr-output.h"
#include "variables.h"
#include "byte-swap.h"
#include "ls-oct-ascii.h"
#include "ls-utils.h"
#include "ls-hdf5.h"
template class octave_base_matrix<NDArray>;
DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_matrix, "matrix", "double");
static octave_base_value *
default_numeric_demotion_function (const octave_base_value& a)
{
CAST_CONV_ARG (const octave_matrix&);
return new octave_float_matrix (v.float_array_value ());
}
octave_base_value::type_conv_info
octave_matrix::numeric_demotion_function (void) const
{
return octave_base_value::type_conv_info
(default_numeric_demotion_function,
octave_float_matrix::static_type_id ());
}
octave_base_value *
octave_matrix::try_narrowing_conversion (void)
{
octave_base_value *retval = 0;
if (matrix.nelem () == 1)
retval = new octave_scalar (matrix (0));
return retval;
}
double
octave_matrix::double_value (bool) const
{
double retval = lo_ieee_nan_value ();
if (numel () > 0)
{
gripe_implicit_conversion ("Octave:array-to-scalar",
"real matrix", "real scalar");
retval = matrix (0, 0);
}
else
gripe_invalid_conversion ("real matrix", "real scalar");
return retval;
}
float
octave_matrix::float_value (bool) const
{
float retval = lo_ieee_float_nan_value ();
if (numel () > 0)
{
gripe_implicit_conversion ("Octave:array-to-scalar",
"real matrix", "real scalar");
retval = matrix (0, 0);
}
else
gripe_invalid_conversion ("real matrix", "real scalar");
return retval;
}
// FIXME
Matrix
octave_matrix::matrix_value (bool) const
{
return Matrix (matrix);
}
FloatMatrix
octave_matrix::float_matrix_value (bool) const
{
return FloatMatrix (Matrix (matrix));
}
Complex
octave_matrix::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",
"real matrix", "complex scalar");
retval = matrix (0, 0);
}
else
gripe_invalid_conversion ("real matrix", "complex scalar");
return retval;
}
FloatComplex
octave_matrix::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",
"real matrix", "complex scalar");
retval = matrix (0, 0);
}
else
gripe_invalid_conversion ("real matrix", "complex scalar");
return retval;
}
// FIXME
ComplexMatrix
octave_matrix::complex_matrix_value (bool) const
{
return ComplexMatrix (Matrix (matrix));
}
FloatComplexMatrix
octave_matrix::float_complex_matrix_value (bool) const
{
return FloatComplexMatrix (Matrix (matrix));
}
ComplexNDArray
octave_matrix::complex_array_value (bool) const
{
return ComplexNDArray (matrix);
}
FloatComplexNDArray
octave_matrix::float_complex_array_value (bool) const
{
return FloatComplexNDArray (matrix);
}
boolNDArray
octave_matrix::bool_array_value (bool warn) const
{
if (matrix.any_element_is_nan ())
gripe_nan_to_logical_conversion ();
else if (warn && matrix.any_element_not_one_or_zero ())
gripe_logical_conversion ();
return boolNDArray (matrix);
}
charNDArray
octave_matrix::char_array_value (bool) const
{
charNDArray retval (dims ());
octave_idx_type nel = numel ();
for (octave_idx_type i = 0; i < nel; i++)
retval.elem (i) = static_cast<char>(matrix.elem (i));
return retval;
}
SparseMatrix
octave_matrix::sparse_matrix_value (bool) const
{
return SparseMatrix (Matrix (matrix));
}
SparseComplexMatrix
octave_matrix::sparse_complex_matrix_value (bool) const
{
// FIXME: Need a SparseComplexMatrix (Matrix) constructor to make
// this function more efficient. Then this should become
// return SparseComplexMatrix (matrix.matrix_value ());
return SparseComplexMatrix (sparse_matrix_value ());
}
octave_value
octave_matrix::diag (octave_idx_type k) const
{
octave_value retval;
if (k == 0 && matrix.ndims () == 2
&& (matrix.rows () == 1 || matrix.columns () == 1))
retval = DiagMatrix (DiagArray2<double> (matrix));
else
retval = octave_base_matrix<NDArray>::diag (k);
return retval;
}
octave_value
octave_matrix::diag (octave_idx_type m, octave_idx_type n) const
{
octave_value retval;
if (matrix.ndims () == 2
&& (matrix.rows () == 1 || matrix.columns () == 1))
{
Matrix mat (matrix);
retval = mat.diag (m, n);
}
else
error ("diag: expecting vector argument");
return retval;
}
// We override these two functions to allow reshaping both
// the matrix and the index cache.
octave_value
octave_matrix::reshape (const dim_vector& new_dims) const
{
if (idx_cache)
{
return new octave_matrix (matrix.reshape (new_dims),
idx_vector (idx_cache->as_array ().reshape (new_dims),
idx_cache->extent (0)));
}
else
return octave_base_matrix<NDArray>::reshape (new_dims);
}
octave_value
octave_matrix::squeeze (void) const
{
if (idx_cache)
{
return new octave_matrix (matrix.squeeze (),
idx_vector (idx_cache->as_array ().squeeze (),
idx_cache->extent (0)));
}
else
return octave_base_matrix<NDArray>::squeeze ();
}
octave_value
octave_matrix::sort (octave_idx_type dim, sortmode mode) const
{
if (idx_cache)
{
// This is a valid index matrix, so sort via integers because it's
// generally more efficient.
return octave_lazy_index (*idx_cache).sort (dim, mode);
}
else
return octave_base_matrix<NDArray>::sort (dim, mode);
}
octave_value
octave_matrix::sort (Array<octave_idx_type> &sidx, octave_idx_type dim,
sortmode mode) const
{
if (idx_cache)
{
// This is a valid index matrix, so sort via integers because it's
// generally more efficient.
return octave_lazy_index (*idx_cache).sort (sidx, dim, mode);
}
else
return octave_base_matrix<NDArray>::sort (sidx, dim, mode);
}
sortmode
octave_matrix::is_sorted (sortmode mode) const
{
if (idx_cache)
{
// This is a valid index matrix, so check via integers because it's
// generally more efficient.
return idx_cache->as_array ().is_sorted (mode);
}
else
return octave_base_matrix<NDArray>::is_sorted (mode);
}
Array<octave_idx_type>
octave_matrix::sort_rows_idx (sortmode mode) const
{
if (idx_cache)
{
// This is a valid index matrix, so sort via integers because it's
// generally more efficient.
return octave_lazy_index (*idx_cache).sort_rows_idx (mode);
}
else
return octave_base_matrix<NDArray>::sort_rows_idx (mode);
}
sortmode
octave_matrix::is_sorted_rows (sortmode mode) const
{
if (idx_cache)
{
// This is a valid index matrix, so check via integers because it's
// generally more efficient.
return idx_cache->as_array ().is_sorted_rows (mode);
}
else
return octave_base_matrix<NDArray>::is_sorted_rows (mode);
}
octave_value
octave_matrix::convert_to_str_internal (bool, bool, char type) const
{
octave_value retval;
dim_vector dv = dims ();
octave_idx_type nel = dv.numel ();
charNDArray chm (dv);
bool warned = false;
for (octave_idx_type i = 0; i < nel; i++)
{
octave_quit ();
double d = matrix (i);
if (xisnan (d))
{
gripe_nan_to_character_conversion ();
return retval;
}
else
{
int ival = NINT (d);
if (ival < 0 || ival > std::numeric_limits<unsigned char>::max ())
{
// FIXME: is there something better we could do?
ival = 0;
if (! warned)
{
::warning ("range error for conversion to character value");
warned = true;
}
}
chm (i) = static_cast<char> (ival);
}
}
retval = octave_value (chm, type);
return retval;
}
bool
octave_matrix::save_ascii (std::ostream& os)
{
dim_vector d = dims ();
if (d.length () > 2)
{
NDArray tmp = array_value ();
os << "# ndims: " << d.length () << "\n";
for (int i=0; i < d.length (); i++)
os << " " << d (i);
os << "\n" << tmp;
}
else
{
// Keep this case, rather than use generic code above for backward
// compatiability. Makes load_ascii much more complex!!
os << "# rows: " << rows () << "\n"
<< "# columns: " << columns () << "\n";
os << matrix_value ();
}
return true;
}
bool
octave_matrix::load_ascii (std::istream& is)
{
bool success = true;
string_vector keywords(2);
keywords[0] = "ndims";
keywords[1] = "rows";
std::string kw;
octave_idx_type val = 0;
if (extract_keyword (is, keywords, kw, val, true))
{
if (kw == "ndims")
{
int mdims = static_cast<int> (val);
if (mdims >= 0)
{
dim_vector dv;
dv.resize (mdims);
for (int i = 0; i < mdims; i++)
is >> dv(i);
if (is)
{
NDArray tmp(dv);
is >> tmp;
if (is)
matrix = tmp;
else
{
error ("load: failed to load matrix constant");
success = false;
}
}
else
{
error ("load: failed to read dimensions");
success = false;
}
}
else
{
error ("load: failed to extract number of dimensions");
success = false;
}
}
else if (kw == "rows")
{
octave_idx_type nr = val;
octave_idx_type nc = 0;
if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0)
{
if (nr > 0 && nc > 0)
{
Matrix tmp (nr, nc);
is >> tmp;
if (is)
matrix = tmp;
else
{
error ("load: failed to load matrix constant");
success = false;
}
}
else if (nr == 0 || nc == 0)
matrix = Matrix (nr, nc);
else
panic_impossible ();
}
else
{
error ("load: failed to extract number of rows and columns");
success = false;
}
}
else
panic_impossible ();
}
else
{
error ("load: failed to extract number of rows and columns");
success = false;
}
return success;
}
bool
octave_matrix::save_binary (std::ostream& os, bool& save_as_floats)
{
dim_vector d = dims ();
if (d.length () < 1)
return false;
// Use negative value for ndims to differentiate with old format!!
int32_t tmp = - d.length ();
os.write (reinterpret_cast<char *> (&tmp), 4);
for (int i = 0; i < d.length (); i++)
{
tmp = d(i);
os.write (reinterpret_cast<char *> (&tmp), 4);
}
NDArray m = array_value ();
save_type st = LS_DOUBLE;
if (save_as_floats)
{
if (m.too_large_for_float ())
{
warning ("save: some values too large to save as floats --");
warning ("save: saving as doubles instead");
}
else
st = LS_FLOAT;
}
else if (d.numel () > 8192) // FIXME: make this configurable.
{
double max_val, min_val;
if (m.all_integers (max_val, min_val))
st = get_save_type (max_val, min_val);
}
const double *mtmp = m.data ();
write_doubles (os, mtmp, st, d.numel ());
return true;
}
bool
octave_matrix::load_binary (std::istream& is, bool swap,
oct_mach_info::float_format fmt)
{
char tmp;
int32_t mdims;
if (! is.read (reinterpret_cast<char *> (&mdims), 4))
return false;
if (swap)
swap_bytes<4> (&mdims);
if (mdims < 0)
{
mdims = - mdims;
int32_t di;
dim_vector dv;
dv.resize (mdims);
for (int i = 0; i < mdims; i++)
{
if (! is.read (reinterpret_cast<char *> (&di), 4))
return false;
if (swap)
swap_bytes<4> (&di);
dv(i) = di;
}
// Convert an array with a single dimension to be a row vector.
// Octave should never write files like this, other software
// might.
if (mdims == 1)
{
mdims = 2;
dv.resize (mdims);
dv(1) = dv(0);
dv(0) = 1;
}
if (! is.read (reinterpret_cast<char *> (&tmp), 1))
return false;
NDArray m(dv);
double *re = m.fortran_vec ();
read_doubles (is, re, static_cast<save_type> (tmp), dv.numel (),
swap, fmt);
if (error_state || ! is)
return false;
matrix = m;
}
else
{
int32_t nr, nc;
nr = mdims;
if (! is.read (reinterpret_cast<char *> (&nc), 4))
return false;
if (swap)
swap_bytes<4> (&nc);
if (! is.read (reinterpret_cast<char *> (&tmp), 1))
return false;
Matrix m (nr, nc);
double *re = m.fortran_vec ();
octave_idx_type len = nr * nc;
read_doubles (is, re, static_cast<save_type> (tmp), len, swap, fmt);
if (error_state || ! is)
return false;
matrix = m;
}
return true;
}
bool
octave_matrix::save_hdf5 (octave_hdf5_id loc_id, const char *name, bool save_as_floats)
{
bool retval = false;
#if defined (HAVE_HDF5)
dim_vector dv = dims ();
int empty = save_hdf5_empty (loc_id, name, dv);
if (empty)
return (empty > 0);
int rank = dv.length ();
hid_t space_hid, data_hid;
space_hid = data_hid = -1;
NDArray m = array_value ();
OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank);
// Octave uses column-major, while HDF5 uses row-major ordering
for (int i = 0; i < rank; i++)
hdims[i] = dv (rank-i-1);
space_hid = H5Screate_simple (rank, hdims, 0);
if (space_hid < 0) return false;
hid_t save_type_hid = H5T_NATIVE_DOUBLE;
if (save_as_floats)
{
if (m.too_large_for_float ())
{
warning ("save: some values too large to save as floats --");
warning ("save: saving as doubles instead");
}
else
save_type_hid = H5T_NATIVE_FLOAT;
}
#if HAVE_HDF5_INT2FLOAT_CONVERSIONS
// hdf5 currently doesn't support float/integer conversions
else
{
double max_val, min_val;
if (m.all_integers (max_val, min_val))
save_type_hid
= save_type_to_hdf5 (get_save_type (max_val, min_val));
}
#endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */
#if HAVE_HDF5_18
data_hid = H5Dcreate (loc_id, name, save_type_hid, space_hid,
H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
#else
data_hid = H5Dcreate (loc_id, name, save_type_hid, space_hid,
H5P_DEFAULT);
#endif
if (data_hid < 0)
{
H5Sclose (space_hid);
return false;
}
double *mtmp = m.fortran_vec ();
retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL,
H5P_DEFAULT, mtmp) >= 0;
H5Dclose (data_hid);
H5Sclose (space_hid);
#else
gripe_save ("hdf5");
#endif
return retval;
}
bool
octave_matrix::load_hdf5 (octave_hdf5_id loc_id, const char *name)
{
bool retval = false;
#if defined (HAVE_HDF5)
dim_vector dv;
int empty = load_hdf5_empty (loc_id, name, dv);
if (empty > 0)
matrix.resize (dv);
if (empty)
return (empty > 0);
#if HAVE_HDF5_18
hid_t data_hid = H5Dopen (loc_id, name, H5P_DEFAULT);
#else
hid_t data_hid = H5Dopen (loc_id, name);
#endif
hid_t space_id = H5Dget_space (data_hid);
hsize_t rank = H5Sget_simple_extent_ndims (space_id);
if (rank < 1)
{
H5Sclose (space_id);
H5Dclose (data_hid);
return false;
}
OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank);
OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank);
H5Sget_simple_extent_dims (space_id, hdims, maxdims);
// Octave uses column-major, while HDF5 uses row-major ordering
if (rank == 1)
{
dv.resize (2);
dv(0) = 1;
dv(1) = hdims[0];
}
else
{
dv.resize (rank);
for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--)
dv(j) = hdims[i];
}
NDArray m (dv);
double *re = m.fortran_vec ();
if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL,
H5P_DEFAULT, re) >= 0)
{
retval = true;
matrix = m;
}
H5Sclose (space_id);
H5Dclose (data_hid);
#else
gripe_load ("hdf5");
#endif
return retval;
}
void
octave_matrix::print_raw (std::ostream& os,
bool pr_as_read_syntax) const
{
octave_print_internal (os, matrix, pr_as_read_syntax,
current_print_indent_level ());
}
mxArray *
octave_matrix::as_mxArray (void) const
{
mxArray *retval = new mxArray (mxDOUBLE_CLASS, dims (), mxREAL);
double *pr = static_cast<double *> (retval->get_data ());
mwSize nel = numel ();
const double *p = matrix.data ();
for (mwIndex i = 0; i < nel; i++)
pr[i] = p[i];
return retval;
}
// This uses a smarter strategy for doing the complex->real mappers. We
// allocate an array for a real result and keep filling it until a complex
// result is produced.
static octave_value
do_rc_map (const NDArray& a, Complex (&fcn) (double))
{
octave_idx_type n = a.numel ();
NoAlias<NDArray> rr (a.dims ());
for (octave_idx_type i = 0; i < n; i++)
{
octave_quit ();
Complex tmp = fcn (a(i));
if (tmp.imag () == 0.0)
rr(i) = tmp.real ();
else
{
NoAlias<ComplexNDArray> rc (a.dims ());
for (octave_idx_type j = 0; j < i; j++)
rc(j) = rr(j);
rc(i) = tmp;
for (octave_idx_type j = i+1; j < n; j++)
{
octave_quit ();
rc(j) = fcn (a(j));
}
return new octave_complex_matrix (rc);
}
}
return rr;
}
octave_value
octave_matrix::map (unary_mapper_t umap) const
{
switch (umap)
{
case umap_imag:
return NDArray (matrix.dims (), 0.0);
case umap_real:
case umap_conj:
return matrix;
// Mappers handled specially.
#define ARRAY_METHOD_MAPPER(UMAP, FCN) \
case umap_ ## UMAP: \
return octave_value (matrix.FCN ())
ARRAY_METHOD_MAPPER (abs, abs);
ARRAY_METHOD_MAPPER (isnan, isnan);
ARRAY_METHOD_MAPPER (isinf, isinf);
ARRAY_METHOD_MAPPER (finite, isfinite);
#define ARRAY_MAPPER(UMAP, TYPE, FCN) \
case umap_ ## UMAP: \
return octave_value (matrix.map<TYPE> (FCN))
#define RC_ARRAY_MAPPER(UMAP, TYPE, FCN) \
case umap_ ## UMAP: \
return do_rc_map (matrix, FCN)
RC_ARRAY_MAPPER (acos, Complex, rc_acos);
RC_ARRAY_MAPPER (acosh, Complex, rc_acosh);
ARRAY_MAPPER (angle, double, ::arg);
ARRAY_MAPPER (arg, double, ::arg);
RC_ARRAY_MAPPER (asin, Complex, rc_asin);
ARRAY_MAPPER (asinh, double, ::asinh);
ARRAY_MAPPER (atan, double, ::atan);
RC_ARRAY_MAPPER (atanh, Complex, rc_atanh);
ARRAY_MAPPER (erf, double, ::erf);
ARRAY_MAPPER (erfinv, double, ::erfinv);
ARRAY_MAPPER (erfcinv, double, ::erfcinv);
ARRAY_MAPPER (erfc, double, ::erfc);
ARRAY_MAPPER (erfcx, double, ::erfcx);
ARRAY_MAPPER (erfi, double, ::erfi);
ARRAY_MAPPER (dawson, double, ::dawson);
ARRAY_MAPPER (gamma, double, xgamma);
RC_ARRAY_MAPPER (lgamma, Complex, rc_lgamma);
ARRAY_MAPPER (cbrt, double, ::cbrt);
ARRAY_MAPPER (ceil, double, ::ceil);
ARRAY_MAPPER (cos, double, ::cos);
ARRAY_MAPPER (cosh, double, ::cosh);
ARRAY_MAPPER (exp, double, ::exp);
ARRAY_MAPPER (expm1, double, ::expm1);
ARRAY_MAPPER (fix, double, ::fix);
ARRAY_MAPPER (floor, double, ::floor);
RC_ARRAY_MAPPER (log, Complex, rc_log);
RC_ARRAY_MAPPER (log2, Complex, rc_log2);
RC_ARRAY_MAPPER (log10, Complex, rc_log10);
RC_ARRAY_MAPPER (log1p, Complex, rc_log1p);
ARRAY_MAPPER (round, double, xround);
ARRAY_MAPPER (roundb, double, xroundb);
ARRAY_MAPPER (signum, double, ::signum);
ARRAY_MAPPER (sin, double, ::sin);
ARRAY_MAPPER (sinh, double, ::sinh);
RC_ARRAY_MAPPER (sqrt, Complex, rc_sqrt);
ARRAY_MAPPER (tan, double, ::tan);
ARRAY_MAPPER (tanh, double, ::tanh);
ARRAY_MAPPER (isna, bool, octave_is_NA);
ARRAY_MAPPER (xsignbit, double, xsignbit);
// Special cases for Matlab compatibility.
case umap_xtolower:
case umap_xtoupper:
return matrix;
case umap_xisalnum:
case umap_xisalpha:
case umap_xisascii:
case umap_xiscntrl:
case umap_xisdigit:
case umap_xisgraph:
case umap_xislower:
case umap_xisprint:
case umap_xispunct:
case umap_xisspace:
case umap_xisupper:
case umap_xisxdigit:
case umap_xtoascii:
{
octave_value str_conv = convert_to_str (true, true);
return error_state ? octave_value () : str_conv.map (umap);
}
default:
return octave_base_value::map (umap);
}
}
DEFUN (double, args, ,
"-*- texinfo -*-\n\
@deftypefn {Built-in Function} {} double (@var{x})\n\
Convert @var{x} to double precision type.\n\
@seealso{single}\n\
@end deftypefn")
{
// The OCTAVE_TYPE_CONV_BODY3 macro declares retval, so they go
// inside their own scopes, and we don't declare retval here to
// avoid a shadowed declaration warning.
if (args.length () == 1)
{
if (args(0).is_perm_matrix ())
{
OCTAVE_TYPE_CONV_BODY3 (double, octave_perm_matrix, octave_scalar);
}
else if (args(0).is_diag_matrix ())
{
if (args(0).is_complex_type ())
{
OCTAVE_TYPE_CONV_BODY3 (double, octave_complex_diag_matrix,
octave_complex);
}
else
{
OCTAVE_TYPE_CONV_BODY3 (double, octave_diag_matrix,
octave_scalar);
}
}
else if (args(0).is_sparse_type ())
{
if (args(0).is_complex_type ())
{
OCTAVE_TYPE_CONV_BODY3 (double, octave_sparse_complex_matrix,
octave_complex);
}
else
{
OCTAVE_TYPE_CONV_BODY3 (double, octave_sparse_matrix,
octave_scalar);
}
}
else if (args(0).is_complex_type ())
{
OCTAVE_TYPE_CONV_BODY3 (double, octave_complex_matrix,
octave_complex);
}
else
{
OCTAVE_TYPE_CONV_BODY3 (double, octave_matrix, octave_scalar);
}
}
else
print_usage ();
return octave_value ();
}
/*
%!assert (class (double (single (1))), "double")
%!assert (class (double (single (1 + i))), "double")
%!assert (class (double (int8 (1))), "double")
%!assert (class (double (uint8 (1))), "double")
%!assert (class (double (int16 (1))), "double")
%!assert (class (double (uint16 (1))), "double")
%!assert (class (double (int32 (1))), "double")
%!assert (class (double (uint32 (1))), "double")
%!assert (class (double (int64 (1))), "double")
%!assert (class (double (uint64 (1))), "double")
%!assert (class (double (true)), "double")
%!assert (class (double ("A")), "double")
%!test
%! x = sparse (logical ([1 0; 0 1]));
%! y = double (x);
%! assert (class (x), "logical");
%! assert (class (y), "double");
%! assert (issparse (y));
%!test
%! x = diag (single ([1 3 2]));
%! y = double (x);
%! assert (class (x), "single");
%! assert (class (y), "double");
%!test
%! x = diag (single ([i 3 2]));
%! y = double (x);
%! assert (class (x), "single");
%! assert (class (y), "double");
*/
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