Mercurial > octave
view libinterp/octave-value/ov-bool-mat.cc @ 31193:6bcc5e6d77fe stable
unpack.m: Escape backslashes in paths on Windows (bug #62888).
* scripts/miscalleneous/unpack.m: Escape backslashes in paths on Windows. That
seems to be necessary to correctly handle double backslashes that prefix UNC
paths.
author | Markus Mützel <markus.muetzel@gmx.de> |
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date | Thu, 18 Aug 2022 08:40:57 +0200 |
parents | 796f54d4ddbf |
children | 83f9f8bda883 |
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//////////////////////////////////////////////////////////////////////// // // Copyright (C) 1996-2022 The Octave Project Developers // // See the file COPYRIGHT.md in the top-level directory of this // distribution or <https://octave.org/copyright/>. // // 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 // <https://www.gnu.org/licenses/>. // //////////////////////////////////////////////////////////////////////// #if defined (HAVE_CONFIG_H) # include "config.h" #endif #include <istream> #include <ostream> #include <vector> #include "dNDArray.h" #include "fNDArray.h" #include "int8NDArray.h" #include "int16NDArray.h" #include "int32NDArray.h" #include "int64NDArray.h" #include "uint8NDArray.h" #include "uint16NDArray.h" #include "uint32NDArray.h" #include "uint64NDArray.h" #include "lo-ieee.h" #include "mx-base.h" #include "oct-locbuf.h" #include "defun.h" #include "errwarn.h" #include "mxarray.h" #include "ovl.h" #include "oct-hdf5.h" #include "ops.h" #include "ov-base.h" #include "ov-base-mat.h" #include "ov-base-mat.cc" #include "ov-bool.h" #include "ov-bool-mat.h" #include "ov-re-mat.h" #include "pr-output.h" #include "byte-swap.h" #include "ls-oct-text.h" #include "ls-hdf5.h" #include "ls-utils.h" template class octave_base_matrix<boolNDArray>; DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, "bool matrix", "logical"); static octave_base_value * default_numeric_conversion_function (const octave_base_value& a) { const octave_bool_matrix& v = dynamic_cast<const octave_bool_matrix&> (a); return new octave_matrix (NDArray (v.bool_array_value ())); } octave_base_value::type_conv_info octave_bool_matrix::numeric_conversion_function (void) const { return octave_base_value::type_conv_info (default_numeric_conversion_function, octave_matrix::static_type_id ()); } octave_base_value * octave_bool_matrix::try_narrowing_conversion (void) { octave_base_value *retval = nullptr; if (matrix.ndims () == 2) { boolMatrix bm (matrix); octave_idx_type nr = bm.rows (); octave_idx_type nc = bm.cols (); if (nr == 1 && nc == 1) retval = new octave_bool (bm (0, 0)); } return retval; } double octave_bool_matrix::double_value (bool) const { if (rows () == 0 || columns () == 0) err_invalid_conversion ("bool matrix", "real scalar"); warn_implicit_conversion ("Octave:array-to-scalar", "bool matrix", "real scalar"); return matrix(0, 0); } float octave_bool_matrix::float_value (bool) const { if (rows () == 0 || columns () == 0) err_invalid_conversion ("bool matrix", "real scalar"); warn_implicit_conversion ("Octave:array-to-scalar", "bool matrix", "real scalar"); return matrix(0, 0); } Complex octave_bool_matrix::complex_value (bool) const { if (rows () == 0 || columns () == 0) err_invalid_conversion ("bool matrix", "complex scalar"); warn_implicit_conversion ("Octave:array-to-scalar", "bool matrix", "complex scalar"); return Complex (matrix(0, 0), 0); } FloatComplex octave_bool_matrix::float_complex_value (bool) const { float tmp = lo_ieee_float_nan_value (); FloatComplex retval (tmp, tmp); if (rows () == 0 || columns () == 0) err_invalid_conversion ("bool matrix", "complex scalar"); warn_implicit_conversion ("Octave:array-to-scalar", "bool matrix", "complex scalar"); retval = matrix(0, 0); return retval; } octave_value octave_bool_matrix::convert_to_str_internal (bool pad, bool force, char type) const { octave_value tmp = octave_value (array_value ()); return tmp.convert_to_str (pad, force, type); } octave_value octave_bool_matrix::as_double (void) const { return NDArray (matrix); } octave_value octave_bool_matrix::as_single (void) const { return FloatNDArray (matrix); } octave_value octave_bool_matrix::as_int8 (void) const { return int8NDArray (matrix); } octave_value octave_bool_matrix::as_int16 (void) const { return int16NDArray (matrix); } octave_value octave_bool_matrix::as_int32 (void) const { return int32NDArray (matrix); } octave_value octave_bool_matrix::as_int64 (void) const { return int64NDArray (matrix); } octave_value octave_bool_matrix::as_uint8 (void) const { return uint8NDArray (matrix); } octave_value octave_bool_matrix::as_uint16 (void) const { return uint16NDArray (matrix); } octave_value octave_bool_matrix::as_uint32 (void) const { return uint32NDArray (matrix); } octave_value octave_bool_matrix::as_uint64 (void) const { return uint64NDArray (matrix); } void octave_bool_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 ()); } bool octave_bool_matrix::save_ascii (std::ostream& os) { dim_vector dv = dims (); if (dv.ndims () > 2) { NDArray tmp = array_value (); os << "# ndims: " << dv.ndims () << "\n"; for (int i = 0; i < dv.ndims (); i++) os << ' ' << dv(i); os << "\n" << tmp; } else { // Keep this case, rather than use generic code above for backward // compatibility. Makes load_ascii much more complex!! os << "# rows: " << rows () << "\n" << "# columns: " << columns () << "\n"; Matrix tmp = matrix_value (); os << tmp; } return true; } bool octave_bool_matrix::load_ascii (std::istream& is) { 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)) error ("load: failed to extract number of rows and columns"); if (kw == "ndims") { int mdims = static_cast<int> (val); if (mdims < 0) error ("load: failed to extract number of dimensions"); dim_vector dv; dv.resize (mdims); for (int i = 0; i < mdims; i++) is >> dv(i); if (! is) error ("load: failed to extract dimensions"); boolNDArray btmp (dv); if (btmp.isempty ()) matrix = btmp; else { NDArray tmp(dv); is >> tmp; if (! is) error ("load: failed to load matrix constant"); for (octave_idx_type i = 0; i < btmp.numel (); i++) btmp.elem (i) = (tmp.elem (i) != 0.); matrix = btmp; } } else if (kw == "rows") { octave_idx_type nr = val; octave_idx_type nc = 0; if (nr < 0 || ! extract_keyword (is, "columns", nc) || nc < 0) error ("load: failed to extract number of rows and columns"); if (nr > 0 && nc > 0) { Matrix tmp (nr, nc); is >> tmp; if (! is) error ("load: failed to load matrix constant"); boolMatrix btmp (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) btmp.elem (i, j) = (tmp.elem (i, j) != 0.); matrix = btmp; } else if (nr == 0 || nc == 0) matrix = boolMatrix (nr, nc); else panic_impossible (); } else panic_impossible (); return true; } bool octave_bool_matrix::save_binary (std::ostream& os, bool /* save_as_floats */) { dim_vector dv = dims (); if (dv.ndims () < 1) return false; // Use negative value for ndims to differentiate with old format!! int32_t tmp = - dv.ndims (); os.write (reinterpret_cast<char *> (&tmp), 4); for (int i = 0; i < dv.ndims (); i++) { tmp = dv(i); os.write (reinterpret_cast<char *> (&tmp), 4); } boolNDArray m = bool_array_value (); bool *mtmp = m.fortran_vec (); octave_idx_type nel = m.numel (); OCTAVE_LOCAL_BUFFER (char, htmp, nel); for (octave_idx_type i = 0; i < nel; i++) htmp[i] = (mtmp[i] ? 1 : 0); os.write (htmp, nel); return true; } bool octave_bool_matrix::load_binary (std::istream& is, bool swap, octave::mach_info::float_format /* fmt */) { int32_t mdims; if (! is.read (reinterpret_cast<char *> (&mdims), 4)) return false; if (swap) swap_bytes<4> (&mdims); if (mdims >= 0) return false; // mdims is negative for consistency with other matrices, where it is // negative to allow the positive value to be used for rows/cols for // backward compatibility 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; } octave_idx_type nel = dv.numel (); OCTAVE_LOCAL_BUFFER (char, htmp, nel); if (! is.read (htmp, nel)) return false; boolNDArray m(dv); bool *mtmp = m.fortran_vec (); for (octave_idx_type i = 0; i < nel; i++) mtmp[i] = (htmp[i] ? 1 : 0); matrix = m; return true; } bool octave_bool_matrix::save_hdf5 (octave_hdf5_id loc_id, const char *name, bool /* save_as_floats */) { bool retval = true; #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.ndims (); hid_t space_hid, data_hid; space_hid = data_hid = -1; boolNDArray m = bool_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, nullptr); if (space_hid < 0) return false; #if defined (HAVE_HDF5_18) data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, octave_H5P_DEFAULT, octave_H5P_DEFAULT, octave_H5P_DEFAULT); #else data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, octave_H5P_DEFAULT); #endif if (data_hid < 0) { H5Sclose (space_hid); return false; } octave_idx_type nel = m.numel (); bool *mtmp = m.fortran_vec (); OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); for (octave_idx_type i = 0; i < nel; i++) htmp[i] = mtmp[i]; retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, octave_H5S_ALL, octave_H5S_ALL, octave_H5P_DEFAULT, htmp) >= 0; H5Dclose (data_hid); H5Sclose (space_hid); #else octave_unused_parameter (loc_id); octave_unused_parameter (name); warn_save ("hdf5"); #endif return retval; } bool octave_bool_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 defined (HAVE_HDF5_18) hid_t data_hid = H5Dopen (loc_id, name, octave_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) { 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]; } octave_idx_type nel = dv.numel (); OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); if (H5Dread (data_hid, H5T_NATIVE_HBOOL, octave_H5S_ALL, octave_H5S_ALL, octave_H5P_DEFAULT, htmp) >= 0) { retval = true; boolNDArray btmp (dv); for (octave_idx_type i = 0; i < nel; i++) btmp.elem (i) = htmp[i]; matrix = btmp; } H5Dclose (data_hid); #else octave_unused_parameter (loc_id); octave_unused_parameter (name); warn_load ("hdf5"); #endif return retval; } mxArray * octave_bool_matrix::as_mxArray (bool interleaved) const { mxArray *retval = new mxArray (interleaved, mxLOGICAL_CLASS, dims (), mxREAL); mxLogical *pd = static_cast<mxLogical *> (retval->get_data ()); mwSize nel = numel (); const bool *pdata = matrix.data (); for (mwIndex i = 0; i < nel; i++) pd[i] = pdata[i]; return retval; } OCTAVE_NAMESPACE_BEGIN DEFUN (logical, args, , doc: /* -*- texinfo -*- @deftypefn {} {} logical (@var{x}) Convert the numeric object @var{x} to logical type. Any nonzero values will be converted to true (1) while zero values will be converted to false (0). The non-numeric value NaN cannot be converted and will produce an error. Compatibility Note: Octave accepts complex values as input, whereas @sc{matlab} issues an error. @seealso{double, single, char} @end deftypefn */) { if (args.length () != 1) print_usage (); octave_value retval; octave_value arg = args(0); if (arg.islogical ()) retval = arg; else if (arg.isnumeric ()) { if (arg.issparse ()) retval = arg.sparse_bool_matrix_value (); else if (arg.is_scalar_type ()) retval = arg.bool_value (); else retval = arg.bool_array_value (); } else err_wrong_type_arg ("logical", arg); return retval; } /* %!test %! m = eye (2) != 0; %! s = ! 0; %! c = {"double", "single", "int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64", "logical"}; %! for i = 1:numel (c) %! assert (logical (eye (2, c{i})), m); %! assert (logical (eye (1, c{i})), s); %! endfor */ OCTAVE_NAMESPACE_END