1 | // Class template uniform_int_distribution -*- C++ -*-
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2 |
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3 | // Copyright (C) 2009-2021 Free Software Foundation, Inc.
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4 | //
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5 | // This file is part of the GNU ISO C++ Library. This library is free
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6 | // software; you can redistribute it and/or modify it under the
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7 | // terms of the GNU General Public License as published by the
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8 | // Free Software Foundation; either version 3, or (at your option)
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9 | // any later version.
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10 |
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11 | // This library is distributed in the hope that it will be useful,
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12 | // but WITHOUT ANY WARRANTY; without even the implied warranty of
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13 | // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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14 | // GNU General Public License for more details.
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15 |
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16 | // Under Section 7 of GPL version 3, you are granted additional
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17 | // permissions described in the GCC Runtime Library Exception, version
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18 | // 3.1, as published by the Free Software Foundation.
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19 |
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20 | // You should have received a copy of the GNU General Public License and
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21 | // a copy of the GCC Runtime Library Exception along with this program;
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22 | // see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
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23 | // <http://www.gnu.org/licenses/>.
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24 |
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25 | /**
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26 | * @file bits/uniform_int_dist.h
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27 | * This is an internal header file, included by other library headers.
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28 | * Do not attempt to use it directly. @headername{random}
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29 | */
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30 |
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31 | #ifndef _GLIBCXX_BITS_UNIFORM_INT_DIST_H
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32 | #define _GLIBCXX_BITS_UNIFORM_INT_DIST_H
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33 |
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34 | #include <type_traits>
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35 | #include <ext/numeric_traits.h>
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36 | #if __cplusplus > 201703L
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37 | # include <concepts>
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38 | #endif
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39 | #include <bits/concept_check.h> // __glibcxx_function_requires
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40 |
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41 | namespace std _GLIBCXX_VISIBILITY(default)
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42 | {
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43 | _GLIBCXX_BEGIN_NAMESPACE_VERSION
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44 |
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45 | #ifdef __cpp_lib_concepts
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46 | /// Requirements for a uniform random bit generator.
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47 | template<typename _Gen>
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48 | concept uniform_random_bit_generator
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49 | = invocable<_Gen&> && unsigned_integral<invoke_result_t<_Gen&>>
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50 | && requires
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51 | {
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52 | { _Gen::min() } -> same_as<invoke_result_t<_Gen&>>;
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53 | { _Gen::max() } -> same_as<invoke_result_t<_Gen&>>;
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54 | requires bool_constant<(_Gen::min() < _Gen::max())>::value;
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55 | };
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56 | #endif
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57 |
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58 | namespace __detail
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59 | {
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60 | // Determine whether number is a power of two.
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61 | // This is true for zero, which is OK because we want _Power_of_2(n+1)
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62 | // to be true if n==numeric_limits<_Tp>::max() and so n+1 wraps around.
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63 | template<typename _Tp>
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64 | constexpr bool
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65 | _Power_of_2(_Tp __x)
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66 | {
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67 | return ((__x - 1) & __x) == 0;
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68 | }
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69 | }
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70 |
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71 | /**
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72 | * @brief Uniform discrete distribution for random numbers.
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73 | * A discrete random distribution on the range @f$[min, max]@f$ with equal
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74 | * probability throughout the range.
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75 | */
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76 | template<typename _IntType = int>
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77 | class uniform_int_distribution
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78 | {
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79 | static_assert(std::is_integral<_IntType>::value,
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80 | "template argument must be an integral type");
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81 |
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82 | public:
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83 | /** The type of the range of the distribution. */
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84 | typedef _IntType result_type;
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85 | /** Parameter type. */
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86 | struct param_type
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87 | {
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88 | typedef uniform_int_distribution<_IntType> distribution_type;
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89 |
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90 | param_type() : param_type(0) { }
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91 |
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92 | explicit
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93 | param_type(_IntType __a,
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94 | _IntType __b = __gnu_cxx::__int_traits<_IntType>::__max)
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95 | : _M_a(__a), _M_b(__b)
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96 | {
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97 | __glibcxx_assert(_M_a <= _M_b);
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98 | }
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99 |
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100 | result_type
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101 | a() const
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102 | { return _M_a; }
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103 |
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104 | result_type
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105 | b() const
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106 | { return _M_b; }
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107 |
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108 | friend bool
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109 | operator==(const param_type& __p1, const param_type& __p2)
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110 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
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111 |
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112 | friend bool
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113 | operator!=(const param_type& __p1, const param_type& __p2)
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114 | { return !(__p1 == __p2); }
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115 |
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116 | private:
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117 | _IntType _M_a;
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118 | _IntType _M_b;
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119 | };
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120 |
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121 | public:
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122 | /**
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123 | * @brief Constructs a uniform distribution object.
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124 | */
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125 | uniform_int_distribution() : uniform_int_distribution(0) { }
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126 |
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127 | /**
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128 | * @brief Constructs a uniform distribution object.
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129 | */
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130 | explicit
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131 | uniform_int_distribution(_IntType __a,
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132 | _IntType __b
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133 | = __gnu_cxx::__int_traits<_IntType>::__max)
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134 | : _M_param(__a, __b)
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135 | { }
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136 |
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137 | explicit
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138 | uniform_int_distribution(const param_type& __p)
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139 | : _M_param(__p)
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140 | { }
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141 |
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142 | /**
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143 | * @brief Resets the distribution state.
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144 | *
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145 | * Does nothing for the uniform integer distribution.
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146 | */
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147 | void
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148 | reset() { }
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149 |
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150 | result_type
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151 | a() const
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152 | { return _M_param.a(); }
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153 |
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154 | result_type
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155 | b() const
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156 | { return _M_param.b(); }
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157 |
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158 | /**
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159 | * @brief Returns the parameter set of the distribution.
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160 | */
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161 | param_type
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162 | param() const
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163 | { return _M_param; }
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164 |
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165 | /**
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166 | * @brief Sets the parameter set of the distribution.
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167 | * @param __param The new parameter set of the distribution.
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168 | */
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169 | void
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170 | param(const param_type& __param)
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171 | { _M_param = __param; }
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172 |
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173 | /**
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174 | * @brief Returns the inclusive lower bound of the distribution range.
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175 | */
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176 | result_type
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177 | min() const
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178 | { return this->a(); }
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179 |
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180 | /**
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181 | * @brief Returns the inclusive upper bound of the distribution range.
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182 | */
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183 | result_type
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184 | max() const
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185 | { return this->b(); }
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186 |
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187 | /**
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188 | * @brief Generating functions.
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189 | */
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190 | template<typename _UniformRandomBitGenerator>
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191 | result_type
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192 | operator()(_UniformRandomBitGenerator& __urng)
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193 | { return this->operator()(__urng, _M_param); }
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194 |
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195 | template<typename _UniformRandomBitGenerator>
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196 | result_type
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197 | operator()(_UniformRandomBitGenerator& __urng,
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198 | const param_type& __p);
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199 |
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200 | template<typename _ForwardIterator,
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201 | typename _UniformRandomBitGenerator>
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202 | void
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203 | __generate(_ForwardIterator __f, _ForwardIterator __t,
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204 | _UniformRandomBitGenerator& __urng)
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205 | { this->__generate(__f, __t, __urng, _M_param); }
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206 |
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207 | template<typename _ForwardIterator,
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208 | typename _UniformRandomBitGenerator>
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209 | void
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210 | __generate(_ForwardIterator __f, _ForwardIterator __t,
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211 | _UniformRandomBitGenerator& __urng,
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212 | const param_type& __p)
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213 | { this->__generate_impl(__f, __t, __urng, __p); }
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214 |
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215 | template<typename _UniformRandomBitGenerator>
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216 | void
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217 | __generate(result_type* __f, result_type* __t,
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218 | _UniformRandomBitGenerator& __urng,
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219 | const param_type& __p)
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220 | { this->__generate_impl(__f, __t, __urng, __p); }
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221 |
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222 | /**
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223 | * @brief Return true if two uniform integer distributions have
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224 | * the same parameters.
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225 | */
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226 | friend bool
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227 | operator==(const uniform_int_distribution& __d1,
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228 | const uniform_int_distribution& __d2)
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229 | { return __d1._M_param == __d2._M_param; }
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230 |
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231 | private:
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232 | template<typename _ForwardIterator,
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233 | typename _UniformRandomBitGenerator>
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234 | void
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235 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t,
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236 | _UniformRandomBitGenerator& __urng,
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237 | const param_type& __p);
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238 |
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239 | param_type _M_param;
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240 |
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241 | // Lemire's nearly divisionless algorithm.
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242 | // Returns an unbiased random number from __g downscaled to [0,__range)
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243 | // using an unsigned type _Wp twice as wide as unsigned type _Up.
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244 | template<typename _Wp, typename _Urbg, typename _Up>
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245 | static _Up
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246 | _S_nd(_Urbg& __g, _Up __range)
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247 | {
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248 | using _Up_traits = __gnu_cxx::__int_traits<_Up>;
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249 | using _Wp_traits = __gnu_cxx::__int_traits<_Wp>;
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250 | static_assert(!_Up_traits::__is_signed, "U must be unsigned");
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251 | static_assert(!_Wp_traits::__is_signed, "W must be unsigned");
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252 | static_assert(_Wp_traits::__digits == (2 * _Up_traits::__digits),
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253 | "W must be twice as wide as U");
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254 |
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255 | // reference: Fast Random Integer Generation in an Interval
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256 | // ACM Transactions on Modeling and Computer Simulation 29 (1), 2019
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257 | // https://arxiv.org/abs/1805.10941
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258 | _Wp __product = _Wp(__g()) * _Wp(__range);
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259 | _Up __low = _Up(__product);
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260 | if (__low < __range)
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261 | {
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262 | _Up __threshold = -__range % __range;
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263 | while (__low < __threshold)
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264 | {
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265 | __product = _Wp(__g()) * _Wp(__range);
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266 | __low = _Up(__product);
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267 | }
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268 | }
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269 | return __product >> _Up_traits::__digits;
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270 | }
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271 | };
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272 |
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273 | template<typename _IntType>
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274 | template<typename _UniformRandomBitGenerator>
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275 | typename uniform_int_distribution<_IntType>::result_type
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276 | uniform_int_distribution<_IntType>::
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277 | operator()(_UniformRandomBitGenerator& __urng,
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278 | const param_type& __param)
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279 | {
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280 | typedef typename _UniformRandomBitGenerator::result_type _Gresult_type;
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281 | typedef typename make_unsigned<result_type>::type __utype;
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282 | typedef typename common_type<_Gresult_type, __utype>::type __uctype;
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283 |
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284 | constexpr __uctype __urngmin = _UniformRandomBitGenerator::min();
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285 | constexpr __uctype __urngmax = _UniformRandomBitGenerator::max();
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286 | static_assert( __urngmin < __urngmax,
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287 | "Uniform random bit generator must define min() < max()");
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288 | constexpr __uctype __urngrange = __urngmax - __urngmin;
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289 |
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290 | const __uctype __urange
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291 | = __uctype(__param.b()) - __uctype(__param.a());
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292 |
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293 | __uctype __ret;
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294 | if (__urngrange > __urange)
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295 | {
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296 | // downscaling
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297 |
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298 | const __uctype __uerange = __urange + 1; // __urange can be zero
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299 |
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300 | #if defined __UINT64_TYPE__ && defined __UINT32_TYPE__
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301 | #if __SIZEOF_INT128__
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302 | if _GLIBCXX17_CONSTEXPR (__urngrange == __UINT64_MAX__)
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303 | {
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304 | // __urng produces values that use exactly 64-bits,
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305 | // so use 128-bit integers to downscale to desired range.
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306 | __UINT64_TYPE__ __u64erange = __uerange;
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307 | __ret = _S_nd<unsigned __int128>(__urng, __u64erange);
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308 | }
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309 | else
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310 | #endif
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311 | if _GLIBCXX17_CONSTEXPR (__urngrange == __UINT32_MAX__)
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312 | {
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313 | // __urng produces values that use exactly 32-bits,
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314 | // so use 64-bit integers to downscale to desired range.
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315 | __UINT32_TYPE__ __u32erange = __uerange;
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316 | __ret = _S_nd<__UINT64_TYPE__>(__urng, __u32erange);
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317 | }
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318 | else
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319 | #endif
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320 | {
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321 | // fallback case (2 divisions)
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322 | const __uctype __scaling = __urngrange / __uerange;
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323 | const __uctype __past = __uerange * __scaling;
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324 | do
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325 | __ret = __uctype(__urng()) - __urngmin;
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326 | while (__ret >= __past);
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327 | __ret /= __scaling;
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328 | }
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329 | }
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330 | else if (__urngrange < __urange)
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331 | {
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332 | // upscaling
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333 | /*
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334 | Note that every value in [0, urange]
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335 | can be written uniquely as
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336 |
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337 | (urngrange + 1) * high + low
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338 |
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339 | where
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340 |
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341 | high in [0, urange / (urngrange + 1)]
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342 |
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343 | and
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344 |
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345 | low in [0, urngrange].
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346 | */
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347 | __uctype __tmp; // wraparound control
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348 | do
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349 | {
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350 | const __uctype __uerngrange = __urngrange + 1;
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351 | __tmp = (__uerngrange * operator()
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352 | (__urng, param_type(0, __urange / __uerngrange)));
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353 | __ret = __tmp + (__uctype(__urng()) - __urngmin);
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354 | }
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355 | while (__ret > __urange || __ret < __tmp);
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356 | }
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357 | else
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358 | __ret = __uctype(__urng()) - __urngmin;
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359 |
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360 | return __ret + __param.a();
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361 | }
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362 |
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363 |
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364 | template<typename _IntType>
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365 | template<typename _ForwardIterator,
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366 | typename _UniformRandomBitGenerator>
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367 | void
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368 | uniform_int_distribution<_IntType>::
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369 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t,
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370 | _UniformRandomBitGenerator& __urng,
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371 | const param_type& __param)
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372 | {
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373 | __glibcxx_function_requires(_ForwardIteratorConcept<_ForwardIterator>)
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374 | typedef typename _UniformRandomBitGenerator::result_type _Gresult_type;
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375 | typedef typename make_unsigned<result_type>::type __utype;
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376 | typedef typename common_type<_Gresult_type, __utype>::type __uctype;
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377 |
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378 | static_assert( __urng.min() < __urng.max(),
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379 | "Uniform random bit generator must define min() < max()");
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380 |
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381 | constexpr __uctype __urngmin = __urng.min();
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382 | constexpr __uctype __urngmax = __urng.max();
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383 | constexpr __uctype __urngrange = __urngmax - __urngmin;
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384 | const __uctype __urange
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385 | = __uctype(__param.b()) - __uctype(__param.a());
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386 |
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387 | __uctype __ret;
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388 |
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389 | if (__urngrange > __urange)
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390 | {
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391 | if (__detail::_Power_of_2(__urngrange + 1)
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392 | && __detail::_Power_of_2(__urange + 1))
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393 | {
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394 | while (__f != __t)
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395 | {
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396 | __ret = __uctype(__urng()) - __urngmin;
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397 | *__f++ = (__ret & __urange) + __param.a();
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398 | }
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399 | }
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400 | else
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401 | {
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402 | // downscaling
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403 | const __uctype __uerange = __urange + 1; // __urange can be zero
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404 | const __uctype __scaling = __urngrange / __uerange;
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405 | const __uctype __past = __uerange * __scaling;
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406 | while (__f != __t)
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407 | {
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408 | do
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409 | __ret = __uctype(__urng()) - __urngmin;
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410 | while (__ret >= __past);
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411 | *__f++ = __ret / __scaling + __param.a();
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412 | }
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413 | }
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414 | }
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415 | else if (__urngrange < __urange)
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416 | {
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417 | // upscaling
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418 | /*
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419 | Note that every value in [0, urange]
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420 | can be written uniquely as
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421 |
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422 | (urngrange + 1) * high + low
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423 |
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424 | where
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425 |
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426 | high in [0, urange / (urngrange + 1)]
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427 |
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428 | and
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429 |
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430 | low in [0, urngrange].
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431 | */
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432 | __uctype __tmp; // wraparound control
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433 | while (__f != __t)
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434 | {
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435 | do
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436 | {
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437 | constexpr __uctype __uerngrange = __urngrange + 1;
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438 | __tmp = (__uerngrange * operator()
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439 | (__urng, param_type(0, __urange / __uerngrange)));
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440 | __ret = __tmp + (__uctype(__urng()) - __urngmin);
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441 | }
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442 | while (__ret > __urange || __ret < __tmp);
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443 | *__f++ = __ret;
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444 | }
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445 | }
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446 | else
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447 | while (__f != __t)
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448 | *__f++ = __uctype(__urng()) - __urngmin + __param.a();
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449 | }
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450 |
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451 | // operator!= and operator<< and operator>> are defined in <bits/random.h>
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452 |
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453 | _GLIBCXX_END_NAMESPACE_VERSION
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454 | } // namespace std
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455 |
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456 | #endif
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