Mercurial > octave
annotate libinterp/octave-value/ov-bool-mat.cc @ 33634:4a70f390c85e default tip @
maint: Merge stable to default.
author | Markus Mützel <markus.muetzel@gmx.de> |
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date | Tue, 28 May 2024 15:25:54 +0200 |
parents | 2949b89f9711 |
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rev | line source |
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1 //////////////////////////////////////////////////////////////////////// |
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2 // |
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3 // Copyright (C) 1996-2024 The Octave Project Developers |
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4 // |
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5 // See the file COPYRIGHT.md in the top-level directory of this |
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6 // distribution or <https://octave.org/copyright/>. |
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7 // |
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8 // This file is part of Octave. |
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9 // |
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10 // Octave is free software: you can redistribute it and/or modify it |
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11 // under the terms of the GNU General Public License as published by |
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12 // the Free Software Foundation, either version 3 of the License, or |
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13 // (at your option) any later version. |
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14 // |
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15 // Octave is distributed in the hope that it will be useful, but |
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16 // WITHOUT ANY WARRANTY; without even the implied warranty of |
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17 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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18 // GNU General Public License for more details. |
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19 // |
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20 // You should have received a copy of the GNU General Public License |
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21 // along with Octave; see the file COPYING. If not, see |
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22 // <https://www.gnu.org/licenses/>. |
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23 // |
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24 //////////////////////////////////////////////////////////////////////// |
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26 #if defined (HAVE_CONFIG_H) |
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27 # include "config.h" |
2871 | 28 #endif |
29 | |
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30 #include <istream> |
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31 #include <ostream> |
4726 | 32 #include <vector> |
2901 | 33 |
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34 #include "dNDArray.h" |
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35 #include "fNDArray.h" |
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36 #include "int8NDArray.h" |
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37 #include "int16NDArray.h" |
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38 #include "int32NDArray.h" |
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39 #include "int64NDArray.h" |
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40 #include "uint8NDArray.h" |
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41 #include "uint16NDArray.h" |
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42 #include "uint32NDArray.h" |
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43 #include "uint64NDArray.h" |
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44 |
2871 | 45 #include "lo-ieee.h" |
46 #include "mx-base.h" | |
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47 #include "oct-locbuf.h" |
2871 | 48 |
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49 #include "defun.h" |
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50 #include "errwarn.h" |
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51 #include "mxarray.h" |
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52 #include "ovl.h" |
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53 #include "oct-hdf5.h" |
2871 | 54 #include "ops.h" |
55 #include "ov-bool.h" | |
56 #include "ov-bool-mat.h" | |
57 #include "ov-re-mat.h" | |
58 #include "pr-output.h" | |
59 | |
4687 | 60 #include "byte-swap.h" |
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61 #include "ls-oct-text.h" |
4687 | 62 #include "ls-hdf5.h" |
63 #include "ls-utils.h" | |
64 | |
4612 | 65 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
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66 "bool matrix", "logical"); |
2871 | 67 |
5759 | 68 static octave_base_value * |
69 default_numeric_conversion_function (const octave_base_value& a) | |
2871 | 70 { |
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71 const octave_bool_matrix& v = dynamic_cast<const octave_bool_matrix&> (a); |
2871 | 72 |
4668 | 73 return new octave_matrix (NDArray (v.bool_array_value ())); |
2871 | 74 } |
75 | |
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76 octave_base_value::type_conv_info |
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77 octave_bool_matrix::numeric_conversion_function () const |
2871 | 78 { |
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79 return octave_base_value::type_conv_info (default_numeric_conversion_function, |
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80 octave_matrix::static_type_id ()); |
2871 | 81 } |
82 | |
5759 | 83 octave_base_value * |
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84 octave_bool_matrix::try_narrowing_conversion () |
2871 | 85 { |
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86 octave_base_value *retval = nullptr; |
2871 | 87 |
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88 if (m_matrix.ndims () == 2) |
4513 | 89 { |
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90 boolMatrix bm (m_matrix); |
2871 | 91 |
5275 | 92 octave_idx_type nr = bm.rows (); |
93 octave_idx_type nc = bm.cols (); | |
4513 | 94 |
95 if (nr == 1 && nc == 1) | |
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96 retval = new octave_bool (bm (0, 0)); |
4513 | 97 } |
2871 | 98 |
99 return retval; | |
100 } | |
101 | |
102 double | |
103 octave_bool_matrix::double_value (bool) const | |
104 { | |
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105 if (rows () == 0 || columns () == 0) |
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106 err_invalid_conversion ("bool matrix", "real scalar"); |
4455 | 107 |
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108 warn_implicit_conversion ("Octave:array-to-scalar", |
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109 "bool matrix", "real scalar"); |
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110 |
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111 return m_matrix(0, 0); |
2871 | 112 } |
113 | |
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114 float |
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115 octave_bool_matrix::float_value (bool) const |
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116 { |
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117 if (rows () == 0 || columns () == 0) |
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118 err_invalid_conversion ("bool matrix", "real scalar"); |
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119 |
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120 warn_implicit_conversion ("Octave:array-to-scalar", |
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121 "bool matrix", "real scalar"); |
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122 |
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123 return m_matrix(0, 0); |
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124 } |
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125 |
2871 | 126 Complex |
127 octave_bool_matrix::complex_value (bool) const | |
128 { | |
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129 if (rows () == 0 || columns () == 0) |
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130 err_invalid_conversion ("bool matrix", "complex scalar"); |
4455 | 131 |
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132 warn_implicit_conversion ("Octave:array-to-scalar", |
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133 "bool matrix", "complex scalar"); |
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134 |
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135 return Complex (m_matrix(0, 0), 0); |
2871 | 136 } |
137 | |
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138 FloatComplex |
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139 octave_bool_matrix::float_complex_value (bool) const |
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140 { |
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141 float tmp = lo_ieee_float_nan_value (); |
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142 |
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143 FloatComplex retval (tmp, tmp); |
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144 |
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145 if (rows () == 0 || columns () == 0) |
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146 err_invalid_conversion ("bool matrix", "complex scalar"); |
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147 |
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148 warn_implicit_conversion ("Octave:array-to-scalar", |
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149 "bool matrix", "complex scalar"); |
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150 |
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151 retval = m_matrix(0, 0); |
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152 |
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153 return retval; |
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154 } |
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155 |
4457 | 156 octave_value |
5279 | 157 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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158 char type) const |
4457 | 159 { |
4844 | 160 octave_value tmp = octave_value (array_value ()); |
5279 | 161 return tmp.convert_to_str (pad, force, type); |
4457 | 162 } |
163 | |
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164 octave_value |
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165 octave_bool_matrix::as_double () const |
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166 { |
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167 return NDArray (m_matrix); |
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168 } |
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169 |
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170 octave_value |
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171 octave_bool_matrix::as_single () const |
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172 { |
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173 return FloatNDArray (m_matrix); |
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174 } |
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175 |
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176 octave_value |
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177 octave_bool_matrix::as_int8 () const |
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178 { |
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179 return int8NDArray (m_matrix); |
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180 } |
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181 |
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182 octave_value |
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183 octave_bool_matrix::as_int16 () const |
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184 { |
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185 return int16NDArray (m_matrix); |
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186 } |
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187 |
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188 octave_value |
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189 octave_bool_matrix::as_int32 () const |
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190 { |
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191 return int32NDArray (m_matrix); |
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192 } |
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193 |
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194 octave_value |
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195 octave_bool_matrix::as_int64 () const |
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196 { |
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197 return int64NDArray (m_matrix); |
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198 } |
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199 |
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200 octave_value |
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201 octave_bool_matrix::as_uint8 () const |
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202 { |
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203 return uint8NDArray (m_matrix); |
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204 } |
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205 |
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206 octave_value |
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207 octave_bool_matrix::as_uint16 () const |
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208 { |
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209 return uint16NDArray (m_matrix); |
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210 } |
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211 |
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212 octave_value |
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213 octave_bool_matrix::as_uint32 () const |
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214 { |
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215 return uint32NDArray (m_matrix); |
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216 } |
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217 |
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218 octave_value |
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219 octave_bool_matrix::as_uint64 () const |
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220 { |
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221 return uint64NDArray (m_matrix); |
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222 } |
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223 |
4643 | 224 void |
225 octave_bool_matrix::print_raw (std::ostream& os, | |
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226 bool pr_as_read_syntax) const |
4643 | 227 { |
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228 octave_print_internal (os, m_matrix, pr_as_read_syntax, |
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229 current_print_indent_level ()); |
4643 | 230 } |
231 | |
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232 bool |
6974 | 233 octave_bool_matrix::save_ascii (std::ostream& os) |
4687 | 234 { |
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235 const dim_vector& dv = dims (); |
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236 if (dv.ndims () > 2) |
4687 | 237 { |
238 NDArray tmp = array_value (); | |
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239 os << "# ndims: " << dv.ndims () << "\n"; |
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241 for (int i = 0; i < dv.ndims (); i++) |
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242 os << ' ' << dv(i); |
4687 | 243 |
244 os << "\n" << tmp; | |
245 } | |
246 else | |
247 { | |
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248 // Keep this case, rather than use generic code above for backward |
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249 // compatibility. Makes load_ascii much more complex!! |
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251 << "# columns: " << columns () << "\n"; |
4687 | 252 |
253 Matrix tmp = matrix_value (); | |
254 | |
255 os << tmp; | |
256 } | |
257 | |
258 return true; | |
259 } | |
260 | |
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261 bool |
4687 | 262 octave_bool_matrix::load_ascii (std::istream& is) |
263 { | |
5099 | 264 string_vector keywords (2); |
4687 | 265 |
5099 | 266 keywords[0] = "ndims"; |
267 keywords[1] = "rows"; | |
4687 | 268 |
5099 | 269 std::string kw; |
5275 | 270 octave_idx_type val = 0; |
4687 | 271 |
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272 if (! extract_keyword (is, keywords, kw, val, true)) |
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273 error ("load: failed to extract number of rows and columns"); |
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275 if (kw == "ndims") |
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276 { |
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277 int mdims = static_cast<int> (val); |
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279 if (mdims < 0) |
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280 error ("load: failed to extract number of dimensions"); |
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281 |
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282 dim_vector dv; |
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283 dv.resize (mdims); |
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284 |
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285 for (int i = 0; i < mdims; i++) |
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286 is >> dv(i); |
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287 |
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288 if (! is) |
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289 error ("load: failed to extract dimensions"); |
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290 |
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291 boolNDArray btmp (dv); |
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292 |
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293 if (btmp.isempty ()) |
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294 m_matrix = btmp; |
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295 else |
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296 { |
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297 NDArray tmp(dv); |
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298 is >> tmp; |
5099 | 299 |
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300 if (! is) |
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301 error ("load: failed to load matrix constant"); |
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302 |
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303 for (octave_idx_type i = 0; i < btmp.numel (); i++) |
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304 btmp.elem (i) = (tmp.elem (i) != 0.); |
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305 |
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306 m_matrix = btmp; |
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307 } |
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308 } |
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309 else if (kw == "rows") |
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310 { |
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311 octave_idx_type nr = val; |
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312 octave_idx_type nc = 0; |
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313 |
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314 if (nr < 0 || ! extract_keyword (is, "columns", nc) || nc < 0) |
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315 error ("load: failed to extract number of rows and columns"); |
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316 |
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317 if (nr > 0 && nc > 0) |
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318 { |
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319 Matrix tmp (nr, nc); |
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320 is >> tmp; |
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321 if (! is) |
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322 error ("load: failed to load matrix constant"); |
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323 |
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324 boolMatrix btmp (nr, nc); |
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325 for (octave_idx_type j = 0; j < nc; j++) |
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326 for (octave_idx_type i = 0; i < nr; i++) |
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327 btmp.elem (i, j) = (tmp.elem (i, j) != 0.); |
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328 |
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329 m_matrix = btmp; |
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330 } |
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331 else if (nr == 0 || nc == 0) |
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332 m_matrix = boolMatrix (nr, nc); |
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333 else |
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334 error ("unexpected dimensions in octave_bool_matrix::load_ascii - please report this bug"); |
5099 | 335 } |
336 else | |
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337 error ("unexpected dimensions keyword (= '%s') octave_bool_matrix::load_ascii - please report this bug", kw.c_str ()); |
4687 | 338 |
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339 return true; |
4687 | 340 } |
341 | |
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342 bool |
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343 octave_bool_matrix::save_binary (std::ostream& os, bool /* save_as_floats */) |
4687 | 344 { |
345 | |
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346 const dim_vector& dv = dims (); |
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347 if (dv.ndims () < 1) |
4687 | 348 return false; |
349 | |
350 // Use negative value for ndims to differentiate with old format!! | |
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351 int32_t tmp = - dv.ndims (); |
5760 | 352 os.write (reinterpret_cast<char *> (&tmp), 4); |
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353 for (int i = 0; i < dv.ndims (); i++) |
4687 | 354 { |
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355 tmp = dv(i); |
5760 | 356 os.write (reinterpret_cast<char *> (&tmp), 4); |
4687 | 357 } |
358 | |
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359 const bool *mtmp = m_matrix.data (); |
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360 octave_idx_type nel = m_matrix.numel (); |
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361 os.write (reinterpret_cast<const char *> (mtmp), nel); |
4687 | 362 |
363 return true; | |
364 } | |
365 | |
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366 bool |
4687 | 367 octave_bool_matrix::load_binary (std::istream& is, bool swap, |
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368 octave::mach_info::float_format /* fmt */) |
4687 | 369 { |
5828 | 370 int32_t mdims; |
5760 | 371 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
4687 | 372 return false; |
373 if (swap) | |
4944 | 374 swap_bytes<4> (&mdims); |
4687 | 375 if (mdims >= 0) |
376 return false; | |
377 | |
378 // mdims is negative for consistency with other matrices, where it is | |
379 // negative to allow the positive value to be used for rows/cols for | |
380 // backward compatibility | |
381 mdims = - mdims; | |
5828 | 382 int32_t di; |
4687 | 383 dim_vector dv; |
384 dv.resize (mdims); | |
385 | |
386 for (int i = 0; i < mdims; i++) | |
387 { | |
5760 | 388 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
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389 return false; |
4687 | 390 if (swap) |
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391 swap_bytes<4> (&di); |
4687 | 392 dv(i) = di; |
393 } | |
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394 |
5157 | 395 // Convert an array with a single dimension to be a row vector. |
396 // Octave should never write files like this, other software | |
397 // might. | |
398 | |
399 if (mdims == 1) | |
400 { | |
401 mdims = 2; | |
402 dv.resize (mdims); | |
403 dv(1) = dv(0); | |
404 dv(0) = 1; | |
405 } | |
406 | |
5275 | 407 octave_idx_type nel = dv.numel (); |
4687 | 408 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
409 if (! is.read (htmp, nel)) | |
410 return false; | |
411 boolNDArray m(dv); | |
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412 bool *mtmp = m.rwdata (); |
5275 | 413 for (octave_idx_type i = 0; i < nel; i++) |
4687 | 414 mtmp[i] = (htmp[i] ? 1 : 0); |
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415 m_matrix = m; |
4687 | 416 |
417 return true; | |
418 } | |
419 | |
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420 bool |
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421 octave_bool_matrix::save_hdf5 (octave_hdf5_id loc_id, const char *name, |
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422 bool /* save_as_floats */) |
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423 { |
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424 bool retval = true; |
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425 |
4687 | 426 #if defined (HAVE_HDF5) |
4944 | 427 |
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428 const dim_vector& dv = dims (); |
4837 | 429 int empty = save_hdf5_empty (loc_id, name, dv); |
430 if (empty) | |
4805 | 431 return (empty > 0); |
432 | |
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433 int rank = dv.ndims (); |
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434 hid_t space_hid, data_hid; |
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435 space_hid = data_hid = -1; |
4687 | 436 |
4805 | 437 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
438 | |
4687 | 439 // Octave uses column-major, while HDF5 uses row-major ordering |
4805 | 440 for (int i = 0; i < rank; i++) |
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441 hdims[i] = dv(rank-i-1); |
4687 | 442 |
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443 space_hid = H5Screate_simple (rank, hdims, nullptr); |
4687 | 444 if (space_hid < 0) return false; |
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445 #if defined (HAVE_HDF5_18) |
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446 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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447 octave_H5P_DEFAULT, octave_H5P_DEFAULT, |
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448 octave_H5P_DEFAULT); |
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449 #else |
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450 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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451 octave_H5P_DEFAULT); |
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452 #endif |
4687 | 453 if (data_hid < 0) |
454 { | |
455 H5Sclose (space_hid); | |
456 return false; | |
457 } | |
458 | |
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459 const bool *mtmp = m_matrix.data (); |
4687 | 460 |
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461 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, octave_H5S_ALL, octave_H5S_ALL, |
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462 octave_H5P_DEFAULT, |
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463 reinterpret_cast<const char *> (mtmp)) >= 0; |
4687 | 464 |
465 H5Dclose (data_hid); | |
466 H5Sclose (space_hid); | |
4837 | 467 |
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468 #else |
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469 octave_unused_parameter (loc_id); |
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470 octave_unused_parameter (name); |
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471 |
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472 warn_save ("hdf5"); |
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473 #endif |
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474 |
4687 | 475 return retval; |
476 } | |
477 | |
478 bool | |
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479 octave_bool_matrix::load_hdf5 (octave_hdf5_id loc_id, const char *name) |
4687 | 480 { |
4837 | 481 bool retval = false; |
482 | |
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483 #if defined (HAVE_HDF5) |
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484 |
4805 | 485 dim_vector dv; |
486 int empty = load_hdf5_empty (loc_id, name, dv); | |
487 if (empty > 0) | |
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488 m_matrix.resize (dv); |
4837 | 489 if (empty) |
490 return (empty > 0); | |
4805 | 491 |
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492 #if defined (HAVE_HDF5_18) |
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493 hid_t data_hid = H5Dopen (loc_id, name, octave_H5P_DEFAULT); |
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494 #else |
4687 | 495 hid_t data_hid = H5Dopen (loc_id, name); |
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496 #endif |
4687 | 497 hid_t space_id = H5Dget_space (data_hid); |
498 | |
499 hsize_t rank = H5Sget_simple_extent_ndims (space_id); | |
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500 |
4687 | 501 if (rank < 1) |
502 { | |
503 H5Dclose (data_hid); | |
504 return false; | |
505 } | |
506 | |
507 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); | |
508 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); | |
509 | |
510 H5Sget_simple_extent_dims (space_id, hdims, maxdims); | |
511 | |
512 // Octave uses column-major, while HDF5 uses row-major ordering | |
513 if (rank == 1) | |
514 { | |
515 dv.resize (2); | |
516 dv(0) = 1; | |
517 dv(1) = hdims[0]; | |
518 } | |
519 else | |
520 { | |
521 dv.resize (rank); | |
4815 | 522 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
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523 dv(j) = hdims[i]; |
4687 | 524 } |
525 | |
5275 | 526 octave_idx_type nel = dv.numel (); |
6276 | 527 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
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528 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, octave_H5S_ALL, octave_H5S_ALL, |
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529 octave_H5P_DEFAULT, htmp) |
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530 >= 0) |
4687 | 531 { |
532 retval = true; | |
533 | |
534 boolNDArray btmp (dv); | |
5275 | 535 for (octave_idx_type i = 0; i < nel; i++) |
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536 btmp.elem (i) = htmp[i]; |
4687 | 537 |
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538 m_matrix = btmp; |
4687 | 539 } |
540 | |
541 H5Dclose (data_hid); | |
4837 | 542 |
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543 #else |
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544 octave_unused_parameter (loc_id); |
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545 octave_unused_parameter (name); |
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546 |
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547 warn_load ("hdf5"); |
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548 #endif |
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549 |
4687 | 550 return retval; |
551 } | |
4944 | 552 |
5900 | 553 mxArray * |
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554 octave_bool_matrix::as_mxArray (bool interleaved) const |
5900 | 555 { |
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556 mxArray *retval = new mxArray (interleaved, mxLOGICAL_CLASS, dims (), mxREAL); |
5900 | 557 |
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558 mxLogical *pd = static_cast<mxLogical *> (retval->get_data ()); |
5900 | 559 |
6686 | 560 mwSize nel = numel (); |
5900 | 561 |
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562 const bool *pdata = m_matrix.data (); |
5900 | 563 |
6686 | 564 for (mwIndex i = 0; i < nel; i++) |
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565 pd[i] = pdata[i]; |
5900 | 566 |
567 return retval; | |
568 } | |
569 | |
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570 OCTAVE_BEGIN_NAMESPACE(octave) |
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571 |
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572 DEFUN (logical, args, , |
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573 doc: /* -*- texinfo -*- |
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574 @deftypefn {} {@var{TF} =} logical (@var{x}) |
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575 Convert the numeric object @var{x} to logical type. |
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576 |
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577 Any nonzero values will be converted to true (1) while zero values will be |
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578 converted to false (0). The non-numeric value NaN cannot be converted and will |
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579 produce an error. |
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580 |
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581 Compatibility Note: Octave accepts complex values as input, whereas @sc{matlab} |
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582 issues an error. |
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583 @seealso{double, single, char} |
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584 @end deftypefn */) |
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585 { |
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586 if (args.length () != 1) |
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587 print_usage (); |
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588 |
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589 octave_value retval; |
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590 |
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591 octave_value arg = args(0); |
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592 |
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593 if (arg.islogical ()) |
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594 retval = arg; |
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595 else if (arg.isnumeric ()) |
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596 { |
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597 if (arg.issparse ()) |
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598 retval = arg.sparse_bool_matrix_value (); |
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599 else if (arg.is_scalar_type ()) |
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600 retval = arg.bool_value (); |
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601 else |
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602 retval = arg.bool_array_value (); |
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603 } |
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604 else |
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605 err_wrong_type_arg ("logical", arg); |
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606 |
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607 return retval; |
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608 } |
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609 |
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610 /* |
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611 %!test |
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612 %! m = eye (2) != 0; |
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613 %! s = ! 0; |
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614 %! c = {"double", "single", "int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64", "logical"}; |
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615 %! for i = 1:numel (c) |
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616 %! assert (logical (eye (2, c{i})), m); |
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617 %! assert (logical (eye (1, c{i})), s); |
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618 %! endfor |
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619 */ |
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620 |
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621 OCTAVE_END_NAMESPACE(octave) |