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1 /* |
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2 |
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3 Copyright (C) 2003 John W. Eaton |
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4 |
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5 This file is part of Octave. |
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6 |
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7 Octave is free software; you can redistribute it and/or modify it |
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8 under the terms of the GNU General Public License as published by the |
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9 Free Software Foundation; either version 2, or (at your option) any |
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10 later version. |
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11 |
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12 Octave is distributed in the hope that it will be useful, but WITHOUT |
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13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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15 for more details. |
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16 |
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17 You should have received a copy of the GNU General Public License |
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18 along with Octave; see the file COPYING. If not, write to the Free |
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19 Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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20 |
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21 */ |
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22 |
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23 #ifdef HAVE_CONFIG_H |
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24 #include <config.h> |
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25 #endif |
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26 |
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27 #include "f77-fcn.h" |
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28 #include "lo-error.h" |
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29 #include "oct-rand.h" |
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30 #include "oct-time.h" |
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31 |
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32 // Possible distributions of random numbers. This was handled with an |
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33 // enum, but unwind_protecting that doesn't work so well. |
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34 #define uniform_dist 1 |
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35 #define normal_dist 2 |
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36 |
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37 // Current distribution of random numbers. |
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38 static int current_distribution = uniform_dist; |
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39 |
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40 // Has the seed been set yet? |
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41 static bool initialized = false; |
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42 |
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43 extern "C" |
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44 { |
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45 F77_RET_T |
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46 F77_FUNC (dgennor, DGENNOR) (const double&, const double&, double&); |
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47 |
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48 F77_RET_T |
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49 F77_FUNC (dgenunf, DGENUNF) (const double&, const double&, double&); |
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50 |
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51 F77_RET_T |
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52 F77_FUNC (setall, SETALL) (const int&, const int&); |
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53 |
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54 F77_RET_T |
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55 F77_FUNC (getsd, GETSD) (int&, int&); |
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56 |
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57 F77_RET_T |
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58 F77_FUNC (setsd, SETSD) (const int&, const int&); |
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59 |
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60 F77_RET_T |
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61 F77_FUNC (setcgn, SETCGN) (const int&); |
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62 } |
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63 |
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64 static int |
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65 force_to_fit_range (int i, int lo, int hi) |
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66 { |
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67 assert (hi > lo && lo >= 0 && hi > lo); |
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68 |
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69 i = i > 0 ? i : -i; |
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70 |
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71 if (i < lo) |
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72 i = lo; |
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73 else if (i > hi) |
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74 i = i % hi; |
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75 |
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76 return i; |
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77 } |
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78 |
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79 // Make the random number generator give us a different sequence every |
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80 // time we start octave unless we specifically set the seed. The |
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81 // technique used below will cycle monthly, but it it does seem to |
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82 // work ok to give fairly different seeds each time Octave starts. |
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83 |
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84 static void |
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85 do_initialization (void) |
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86 { |
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87 octave_localtime tm; |
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88 |
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89 int hour = tm.hour() + 1; |
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90 int minute = tm.min() + 1; |
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91 int second = tm.sec() + 1; |
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92 |
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93 int s0 = tm.mday() * hour * minute * second; |
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94 int s1 = hour * minute * second; |
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95 |
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96 s0 = force_to_fit_range (s0, 1, 2147483563); |
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97 s1 = force_to_fit_range (s1, 1, 2147483399); |
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98 |
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99 F77_FUNC (setall, SETALL) (s0, s1); |
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100 |
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101 initialized = true; |
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102 } |
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103 |
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104 static inline void |
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105 maybe_initialize (void) |
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106 { |
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107 if (! initialized) |
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108 do_initialization (); |
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109 } |
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110 |
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111 double |
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112 octave_rand::seed (void) |
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113 { |
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114 maybe_initialize (); |
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115 |
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116 union d2i { double d; int i[2]; }; |
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117 union d2i u; |
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118 F77_FUNC (getsd, GETSD) (u.i[0], u.i[1]); |
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119 return u.d; |
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120 } |
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121 |
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122 void |
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123 octave_rand::seed (double s) |
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124 { |
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125 maybe_initialize (); |
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126 |
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127 union d2i { double d; int i[2]; }; |
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128 union d2i u; |
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129 u.d = s; |
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130 int i0 = force_to_fit_range (u.i[0], 1, 2147483563); |
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131 int i1 = force_to_fit_range (u.i[1], 1, 2147483399); |
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132 F77_FUNC (setsd, SETSD) (i0, i1); |
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133 } |
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134 |
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135 std::string |
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136 octave_rand::distribution (void) |
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137 { |
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138 maybe_initialize (); |
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139 |
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140 if (current_distribution == uniform_dist) |
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141 return "uniform"; |
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142 else if (current_distribution == normal_dist) |
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143 return "normal"; |
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144 else |
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145 { |
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146 abort (); |
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147 return ""; |
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148 } |
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149 } |
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150 |
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151 void |
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152 octave_rand::distribution (const std::string& d) |
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153 { |
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154 if (d == "uniform") |
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155 octave_rand::uniform_distribution (); |
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156 else if (d == "normal") |
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157 octave_rand::normal_distribution (); |
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158 else |
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159 (*current_liboctave_error_handler) ("rand: invalid distribution"); |
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160 } |
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161 |
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162 void |
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163 octave_rand::uniform_distribution (void) |
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164 { |
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165 maybe_initialize (); |
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166 |
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167 current_distribution = uniform_dist; |
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168 |
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169 F77_FUNC (setcgn, SETCGN) (uniform_dist); |
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170 } |
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171 |
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172 void |
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173 octave_rand::normal_distribution (void) |
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174 { |
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175 maybe_initialize (); |
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176 |
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177 current_distribution = normal_dist; |
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178 |
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179 F77_FUNC (setcgn, SETCGN) (normal_dist); |
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180 } |
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181 |
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182 double |
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183 octave_rand::scalar (void) |
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184 { |
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185 maybe_initialize (); |
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186 |
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187 double retval = 0.0; |
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188 |
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189 switch (current_distribution) |
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190 { |
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191 case uniform_dist: |
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192 F77_FUNC (dgenunf, DGENUNF) (0.0, 1.0, retval); |
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193 break; |
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194 |
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195 case normal_dist: |
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196 F77_FUNC (dgennor, DGENNOR) (0.0, 1.0, retval); |
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197 break; |
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198 |
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199 default: |
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200 abort (); |
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201 break; |
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202 } |
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203 |
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204 return retval; |
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205 } |
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206 |
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207 #define MAKE_RAND_MAT(mat, nr, nc, f, F) \ |
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208 do \ |
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209 { \ |
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210 double val; \ |
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211 for (volatile int j = 0; j < nc; j++) \ |
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212 for (volatile int i = 0; i < nr; i++) \ |
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213 { \ |
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214 OCTAVE_QUIT; \ |
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215 F77_FUNC (f, F) (0.0, 1.0, val); \ |
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216 mat(i,j) = val; \ |
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217 } \ |
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218 } \ |
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219 while (0) |
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220 |
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221 Matrix |
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222 octave_rand::matrix (int n, int m) |
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223 { |
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224 maybe_initialize (); |
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225 |
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226 Matrix retval; |
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227 |
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228 if (n >= 0 && m >= 0) |
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229 { |
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230 retval.resize (n, m); |
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231 |
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232 if (n > 0 && m > 0) |
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233 { |
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234 switch (current_distribution) |
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235 { |
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236 case uniform_dist: |
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237 MAKE_RAND_MAT (retval, n, m, dgenunf, DGENUNF); |
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238 break; |
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239 |
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240 case normal_dist: |
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241 MAKE_RAND_MAT (retval, n, m, dgennor, DGENNOR); |
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242 break; |
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243 |
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244 default: |
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245 abort (); |
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246 break; |
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247 } |
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248 } |
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249 } |
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250 else |
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251 (*current_liboctave_error_handler) ("rand: invalid negative argument"); |
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252 |
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253 return retval; |
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254 } |
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255 |
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256 #define MAKE_RAND_ND_ARRAY(mat, len, f, F) \ |
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257 do \ |
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258 { \ |
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259 double val; \ |
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260 for (volatile int i = 0; i < len; i++) \ |
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261 { \ |
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262 OCTAVE_QUIT; \ |
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263 F77_FUNC (f, F) (0.0, 1.0, val); \ |
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264 mat(i) = val; \ |
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265 } \ |
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266 } \ |
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267 while (0) |
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268 |
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269 NDArray |
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270 octave_rand::nd_array (const dim_vector& dims) |
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271 { |
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272 maybe_initialize (); |
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273 |
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274 NDArray retval; |
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275 |
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276 if (! dims.all_zero ()) |
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277 { |
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278 retval.resize (dims); |
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279 |
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280 int len = retval.length (); |
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281 |
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282 switch (current_distribution) |
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283 { |
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284 case uniform_dist: |
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285 MAKE_RAND_ND_ARRAY (retval, len, dgenunf, DGENUNF); |
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286 break; |
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287 |
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288 case normal_dist: |
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289 MAKE_RAND_ND_ARRAY (retval, len, dgennor, DGENNOR); |
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290 break; |
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291 |
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292 default: |
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293 abort (); |
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294 break; |
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295 } |
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296 } |
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297 |
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298 return retval; |
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299 } |
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300 |
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301 #define MAKE_RAND_ARRAY(array, n, f, F) \ |
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302 do \ |
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303 { \ |
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304 double val; \ |
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305 for (volatile int i = 0; i < n; i++) \ |
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306 { \ |
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307 OCTAVE_QUIT; \ |
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308 F77_FUNC (f, F) (0.0, 1.0, val); \ |
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309 array(i) = val; \ |
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310 } \ |
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311 } \ |
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312 while (0) |
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313 |
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314 Array<double> |
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315 octave_rand::vector (int n) |
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316 { |
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317 maybe_initialize (); |
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318 |
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319 Array<double> retval; |
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320 |
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321 if (n > 0) |
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322 { |
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323 retval.resize (n); |
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324 |
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325 switch (current_distribution) |
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326 { |
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327 case uniform_dist: |
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328 MAKE_RAND_ARRAY (retval, n, dgenunf, DGENUNF); |
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329 break; |
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330 |
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331 case normal_dist: |
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332 MAKE_RAND_ARRAY (retval, n, dgennor, DGENNOR); |
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333 break; |
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334 |
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335 default: |
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336 abort (); |
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337 break; |
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338 } |
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339 } |
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340 else if (n < 0) |
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341 (*current_liboctave_error_handler) ("rand: invalid negative argument"); |
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342 |
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343 return retval; |
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344 } |
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345 |
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346 /* |
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347 ;;; Local Variables: *** |
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348 ;;; mode: C++ *** |
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349 ;;; End: *** |
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350 */ |
