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| 1860430a UD |
1 | // Random number extensions -*- C++ -*- |
| 2 | ||
| aa118a03 | 3 | // Copyright (C) 2012-2014 Free Software Foundation, Inc. |
| 1860430a UD |
4 | // |
| 5 | // This file is part of the GNU ISO C++ Library. This library is free | |
| 6 | // software; you can redistribute it and/or modify it under the | |
| 7 | // terms of the GNU General Public License as published by the | |
| 8 | // Free Software Foundation; either version 3, or (at your option) | |
| 9 | // any later version. | |
| 10 | ||
| 11 | // This library is distributed in the hope that it will be useful, | |
| 12 | // but WITHOUT ANY WARRANTY; without even the implied warranty of | |
| 13 | // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
| 14 | // GNU General Public License for more details. | |
| 15 | ||
| 16 | // Under Section 7 of GPL version 3, you are granted additional | |
| 17 | // permissions described in the GCC Runtime Library Exception, version | |
| 18 | // 3.1, as published by the Free Software Foundation. | |
| 19 | ||
| 20 | // You should have received a copy of the GNU General Public License and | |
| 21 | // a copy of the GCC Runtime Library Exception along with this program; | |
| 22 | // see the files COPYING3 and COPYING.RUNTIME respectively. If not, see | |
| 23 | // <http://www.gnu.org/licenses/>. | |
| 24 | ||
| 25 | /** @file ext/random.tcc | |
| 26 | * This is an internal header file, included by other library headers. | |
| 27 | * Do not attempt to use it directly. @headername{ext/random} | |
| 28 | */ | |
| 29 | ||
| 30 | #ifndef _EXT_RANDOM_TCC | |
| 31 | #define _EXT_RANDOM_TCC 1 | |
| 32 | ||
| 33 | #pragma GCC system_header | |
| 34 | ||
| 1860430a UD |
35 | namespace __gnu_cxx _GLIBCXX_VISIBILITY(default) |
| 36 | { | |
| 37 | _GLIBCXX_BEGIN_NAMESPACE_VERSION | |
| 38 | ||
| eeeef8f4 | 39 | #if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__ |
| 1860430a UD |
40 | |
| 41 | template<typename _UIntType, size_t __m, | |
| 42 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 43 | size_t __sr1, size_t __sr2, | |
| 44 | uint32_t __msk1, uint32_t __msk2, | |
| 45 | uint32_t __msk3, uint32_t __msk4, | |
| 46 | uint32_t __parity1, uint32_t __parity2, | |
| 47 | uint32_t __parity3, uint32_t __parity4> | |
| 48 | void simd_fast_mersenne_twister_engine<_UIntType, __m, | |
| 49 | __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 50 | __msk1, __msk2, __msk3, __msk4, | |
| 51 | __parity1, __parity2, __parity3, | |
| 52 | __parity4>:: | |
| 53 | seed(_UIntType __seed) | |
| 54 | { | |
| 55 | _M_state32[0] = static_cast<uint32_t>(__seed); | |
| 56 | for (size_t __i = 1; __i < _M_nstate32; ++__i) | |
| 57 | _M_state32[__i] = (1812433253UL | |
| 58 | * (_M_state32[__i - 1] ^ (_M_state32[__i - 1] >> 30)) | |
| 59 | + __i); | |
| 60 | _M_pos = state_size; | |
| 61 | _M_period_certification(); | |
| 62 | } | |
| 63 | ||
| 64 | ||
| 65 | namespace { | |
| 66 | ||
| 67 | inline uint32_t _Func1(uint32_t __x) | |
| 68 | { | |
| 69 | return (__x ^ (__x >> 27)) * UINT32_C(1664525); | |
| 70 | } | |
| 71 | ||
| 72 | inline uint32_t _Func2(uint32_t __x) | |
| 73 | { | |
| 74 | return (__x ^ (__x >> 27)) * UINT32_C(1566083941); | |
| 75 | } | |
| 76 | ||
| 77 | } | |
| 78 | ||
| 79 | ||
| 80 | template<typename _UIntType, size_t __m, | |
| 81 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 82 | size_t __sr1, size_t __sr2, | |
| 83 | uint32_t __msk1, uint32_t __msk2, | |
| 84 | uint32_t __msk3, uint32_t __msk4, | |
| 85 | uint32_t __parity1, uint32_t __parity2, | |
| 86 | uint32_t __parity3, uint32_t __parity4> | |
| 87 | template<typename _Sseq> | |
| 88 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
| 89 | simd_fast_mersenne_twister_engine<_UIntType, __m, | |
| 90 | __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 91 | __msk1, __msk2, __msk3, __msk4, | |
| 92 | __parity1, __parity2, __parity3, | |
| 93 | __parity4>:: | |
| 94 | seed(_Sseq& __q) | |
| 95 | { | |
| 96 | size_t __lag; | |
| 97 | ||
| 98 | if (_M_nstate32 >= 623) | |
| 99 | __lag = 11; | |
| 100 | else if (_M_nstate32 >= 68) | |
| 101 | __lag = 7; | |
| 102 | else if (_M_nstate32 >= 39) | |
| 103 | __lag = 5; | |
| 104 | else | |
| 105 | __lag = 3; | |
| 106 | const size_t __mid = (_M_nstate32 - __lag) / 2; | |
| 107 | ||
| 108 | std::fill(_M_state32, _M_state32 + _M_nstate32, UINT32_C(0x8b8b8b8b)); | |
| 109 | uint32_t __arr[_M_nstate32]; | |
| 110 | __q.generate(__arr + 0, __arr + _M_nstate32); | |
| 111 | ||
| 112 | uint32_t __r = _Func1(_M_state32[0] ^ _M_state32[__mid] | |
| 113 | ^ _M_state32[_M_nstate32 - 1]); | |
| 114 | _M_state32[__mid] += __r; | |
| 115 | __r += _M_nstate32; | |
| 116 | _M_state32[__mid + __lag] += __r; | |
| 117 | _M_state32[0] = __r; | |
| 118 | ||
| 119 | for (size_t __i = 1, __j = 0; __j < _M_nstate32; ++__j) | |
| 120 | { | |
| 121 | __r = _Func1(_M_state32[__i] | |
| 122 | ^ _M_state32[(__i + __mid) % _M_nstate32] | |
| 123 | ^ _M_state32[(__i + _M_nstate32 - 1) % _M_nstate32]); | |
| 124 | _M_state32[(__i + __mid) % _M_nstate32] += __r; | |
| 125 | __r += __arr[__j] + __i; | |
| 126 | _M_state32[(__i + __mid + __lag) % _M_nstate32] += __r; | |
| 127 | _M_state32[__i] = __r; | |
| 128 | __i = (__i + 1) % _M_nstate32; | |
| 129 | } | |
| 130 | for (size_t __j = 0; __j < _M_nstate32; ++__j) | |
| 131 | { | |
| 132 | const size_t __i = (__j + 1) % _M_nstate32; | |
| 133 | __r = _Func2(_M_state32[__i] | |
| 134 | + _M_state32[(__i + __mid) % _M_nstate32] | |
| 135 | + _M_state32[(__i + _M_nstate32 - 1) % _M_nstate32]); | |
| 136 | _M_state32[(__i + __mid) % _M_nstate32] ^= __r; | |
| 137 | __r -= __i; | |
| 138 | _M_state32[(__i + __mid + __lag) % _M_nstate32] ^= __r; | |
| 139 | _M_state32[__i] = __r; | |
| 140 | } | |
| 141 | ||
| 142 | _M_pos = state_size; | |
| 143 | _M_period_certification(); | |
| 144 | } | |
| 145 | ||
| 146 | ||
| 147 | template<typename _UIntType, size_t __m, | |
| 148 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 149 | size_t __sr1, size_t __sr2, | |
| 150 | uint32_t __msk1, uint32_t __msk2, | |
| 151 | uint32_t __msk3, uint32_t __msk4, | |
| 152 | uint32_t __parity1, uint32_t __parity2, | |
| 153 | uint32_t __parity3, uint32_t __parity4> | |
| 154 | void simd_fast_mersenne_twister_engine<_UIntType, __m, | |
| 155 | __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 156 | __msk1, __msk2, __msk3, __msk4, | |
| 157 | __parity1, __parity2, __parity3, | |
| 158 | __parity4>:: | |
| 159 | _M_period_certification(void) | |
| 160 | { | |
| 161 | static const uint32_t __parity[4] = { __parity1, __parity2, | |
| 162 | __parity3, __parity4 }; | |
| 163 | uint32_t __inner = 0; | |
| 164 | for (size_t __i = 0; __i < 4; ++__i) | |
| 165 | if (__parity[__i] != 0) | |
| 166 | __inner ^= _M_state32[__i] & __parity[__i]; | |
| 167 | ||
| 168 | if (__builtin_parity(__inner) & 1) | |
| 169 | return; | |
| 170 | for (size_t __i = 0; __i < 4; ++__i) | |
| 171 | if (__parity[__i] != 0) | |
| 172 | { | |
| 173 | _M_state32[__i] ^= 1 << (__builtin_ffs(__parity[__i]) - 1); | |
| 174 | return; | |
| 175 | } | |
| 176 | __builtin_unreachable(); | |
| 177 | } | |
| 178 | ||
| 179 | ||
| 180 | template<typename _UIntType, size_t __m, | |
| 181 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 182 | size_t __sr1, size_t __sr2, | |
| 183 | uint32_t __msk1, uint32_t __msk2, | |
| 184 | uint32_t __msk3, uint32_t __msk4, | |
| 185 | uint32_t __parity1, uint32_t __parity2, | |
| 186 | uint32_t __parity3, uint32_t __parity4> | |
| 187 | void simd_fast_mersenne_twister_engine<_UIntType, __m, | |
| 188 | __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 189 | __msk1, __msk2, __msk3, __msk4, | |
| 190 | __parity1, __parity2, __parity3, | |
| 191 | __parity4>:: | |
| 192 | discard(unsigned long long __z) | |
| 193 | { | |
| 194 | while (__z > state_size - _M_pos) | |
| 195 | { | |
| 196 | __z -= state_size - _M_pos; | |
| 197 | ||
| 198 | _M_gen_rand(); | |
| 199 | } | |
| 200 | ||
| 201 | _M_pos += __z; | |
| 202 | } | |
| 203 | ||
| 204 | ||
| 9bf714c2 | 205 | #ifndef _GLIBCXX_OPT_HAVE_RANDOM_SFMT_GEN_READ |
| 1860430a UD |
206 | |
| 207 | namespace { | |
| 208 | ||
| 209 | template<size_t __shift> | |
| 210 | inline void __rshift(uint32_t *__out, const uint32_t *__in) | |
| 211 | { | |
| 212 | uint64_t __th = ((static_cast<uint64_t>(__in[3]) << 32) | |
| 213 | | static_cast<uint64_t>(__in[2])); | |
| 214 | uint64_t __tl = ((static_cast<uint64_t>(__in[1]) << 32) | |
| 215 | | static_cast<uint64_t>(__in[0])); | |
| 216 | ||
| 217 | uint64_t __oh = __th >> (__shift * 8); | |
| 218 | uint64_t __ol = __tl >> (__shift * 8); | |
| 219 | __ol |= __th << (64 - __shift * 8); | |
| 220 | __out[1] = static_cast<uint32_t>(__ol >> 32); | |
| 221 | __out[0] = static_cast<uint32_t>(__ol); | |
| 222 | __out[3] = static_cast<uint32_t>(__oh >> 32); | |
| 223 | __out[2] = static_cast<uint32_t>(__oh); | |
| 224 | } | |
| 225 | ||
| 226 | ||
| 227 | template<size_t __shift> | |
| 228 | inline void __lshift(uint32_t *__out, const uint32_t *__in) | |
| 229 | { | |
| 230 | uint64_t __th = ((static_cast<uint64_t>(__in[3]) << 32) | |
| 231 | | static_cast<uint64_t>(__in[2])); | |
| 232 | uint64_t __tl = ((static_cast<uint64_t>(__in[1]) << 32) | |
| 233 | | static_cast<uint64_t>(__in[0])); | |
| 234 | ||
| 235 | uint64_t __oh = __th << (__shift * 8); | |
| 236 | uint64_t __ol = __tl << (__shift * 8); | |
| 237 | __oh |= __tl >> (64 - __shift * 8); | |
| 238 | __out[1] = static_cast<uint32_t>(__ol >> 32); | |
| 239 | __out[0] = static_cast<uint32_t>(__ol); | |
| 240 | __out[3] = static_cast<uint32_t>(__oh >> 32); | |
| 241 | __out[2] = static_cast<uint32_t>(__oh); | |
| 242 | } | |
| 243 | ||
| 244 | ||
| 245 | template<size_t __sl1, size_t __sl2, size_t __sr1, size_t __sr2, | |
| 246 | uint32_t __msk1, uint32_t __msk2, uint32_t __msk3, uint32_t __msk4> | |
| 247 | inline void __recursion(uint32_t *__r, | |
| 248 | const uint32_t *__a, const uint32_t *__b, | |
| 249 | const uint32_t *__c, const uint32_t *__d) | |
| 250 | { | |
| 251 | uint32_t __x[4]; | |
| 252 | uint32_t __y[4]; | |
| 253 | ||
| 254 | __lshift<__sl2>(__x, __a); | |
| 255 | __rshift<__sr2>(__y, __c); | |
| 256 | __r[0] = (__a[0] ^ __x[0] ^ ((__b[0] >> __sr1) & __msk1) | |
| 257 | ^ __y[0] ^ (__d[0] << __sl1)); | |
| 258 | __r[1] = (__a[1] ^ __x[1] ^ ((__b[1] >> __sr1) & __msk2) | |
| 259 | ^ __y[1] ^ (__d[1] << __sl1)); | |
| 260 | __r[2] = (__a[2] ^ __x[2] ^ ((__b[2] >> __sr1) & __msk3) | |
| 261 | ^ __y[2] ^ (__d[2] << __sl1)); | |
| 262 | __r[3] = (__a[3] ^ __x[3] ^ ((__b[3] >> __sr1) & __msk4) | |
| 263 | ^ __y[3] ^ (__d[3] << __sl1)); | |
| 264 | } | |
| 265 | ||
| 266 | } | |
| 267 | ||
| 268 | ||
| 269 | template<typename _UIntType, size_t __m, | |
| 270 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 271 | size_t __sr1, size_t __sr2, | |
| 272 | uint32_t __msk1, uint32_t __msk2, | |
| 273 | uint32_t __msk3, uint32_t __msk4, | |
| 274 | uint32_t __parity1, uint32_t __parity2, | |
| 275 | uint32_t __parity3, uint32_t __parity4> | |
| 276 | void simd_fast_mersenne_twister_engine<_UIntType, __m, | |
| 277 | __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 278 | __msk1, __msk2, __msk3, __msk4, | |
| 279 | __parity1, __parity2, __parity3, | |
| 280 | __parity4>:: | |
| 281 | _M_gen_rand(void) | |
| 282 | { | |
| 283 | const uint32_t *__r1 = &_M_state32[_M_nstate32 - 8]; | |
| 284 | const uint32_t *__r2 = &_M_state32[_M_nstate32 - 4]; | |
| 285 | static constexpr size_t __pos1_32 = __pos1 * 4; | |
| 286 | ||
| 287 | size_t __i; | |
| 288 | for (__i = 0; __i < _M_nstate32 - __pos1_32; __i += 4) | |
| 289 | { | |
| 290 | __recursion<__sl1, __sl2, __sr1, __sr2, | |
| 291 | __msk1, __msk2, __msk3, __msk4> | |
| 292 | (&_M_state32[__i], &_M_state32[__i], | |
| 293 | &_M_state32[__i + __pos1_32], __r1, __r2); | |
| 294 | __r1 = __r2; | |
| 295 | __r2 = &_M_state32[__i]; | |
| 296 | } | |
| 297 | ||
| 298 | for (; __i < _M_nstate32; __i += 4) | |
| 299 | { | |
| 300 | __recursion<__sl1, __sl2, __sr1, __sr2, | |
| 301 | __msk1, __msk2, __msk3, __msk4> | |
| 302 | (&_M_state32[__i], &_M_state32[__i], | |
| 303 | &_M_state32[__i + __pos1_32 - _M_nstate32], __r1, __r2); | |
| 304 | __r1 = __r2; | |
| 305 | __r2 = &_M_state32[__i]; | |
| 306 | } | |
| 307 | ||
| 308 | _M_pos = 0; | |
| 309 | } | |
| 310 | ||
| 311 | #endif | |
| 312 | ||
| 9bf714c2 UD |
313 | #ifndef _GLIBCXX_OPT_HAVE_RANDOM_SFMT_OPERATOREQUAL |
| 314 | template<typename _UIntType, size_t __m, | |
| 315 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 316 | size_t __sr1, size_t __sr2, | |
| 317 | uint32_t __msk1, uint32_t __msk2, | |
| 318 | uint32_t __msk3, uint32_t __msk4, | |
| 319 | uint32_t __parity1, uint32_t __parity2, | |
| 320 | uint32_t __parity3, uint32_t __parity4> | |
| 321 | bool | |
| 322 | operator==(const __gnu_cxx::simd_fast_mersenne_twister_engine<_UIntType, | |
| 323 | __m, __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 324 | __msk1, __msk2, __msk3, __msk4, | |
| 325 | __parity1, __parity2, __parity3, __parity4>& __lhs, | |
| 326 | const __gnu_cxx::simd_fast_mersenne_twister_engine<_UIntType, | |
| 327 | __m, __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 328 | __msk1, __msk2, __msk3, __msk4, | |
| 329 | __parity1, __parity2, __parity3, __parity4>& __rhs) | |
| 330 | { | |
| ecfce0b8 PC |
331 | typedef __gnu_cxx::simd_fast_mersenne_twister_engine<_UIntType, |
| 332 | __m, __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 333 | __msk1, __msk2, __msk3, __msk4, | |
| 334 | __parity1, __parity2, __parity3, __parity4> __engine; | |
| 335 | return (std::equal(__lhs._M_stateT, | |
| 336 | __lhs._M_stateT + __engine::state_size, | |
| 9bf714c2 UD |
337 | __rhs._M_stateT) |
| 338 | && __lhs._M_pos == __rhs._M_pos); | |
| 339 | } | |
| 340 | #endif | |
| 1860430a UD |
341 | |
| 342 | template<typename _UIntType, size_t __m, | |
| 343 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 344 | size_t __sr1, size_t __sr2, | |
| 345 | uint32_t __msk1, uint32_t __msk2, | |
| 346 | uint32_t __msk3, uint32_t __msk4, | |
| 347 | uint32_t __parity1, uint32_t __parity2, | |
| 348 | uint32_t __parity3, uint32_t __parity4, | |
| 349 | typename _CharT, typename _Traits> | |
| 350 | std::basic_ostream<_CharT, _Traits>& | |
| 351 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 352 | const __gnu_cxx::simd_fast_mersenne_twister_engine<_UIntType, | |
| 353 | __m, __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 354 | __msk1, __msk2, __msk3, __msk4, | |
| 355 | __parity1, __parity2, __parity3, __parity4>& __x) | |
| 356 | { | |
| 357 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 358 | typedef typename __ostream_type::ios_base __ios_base; | |
| 359 | ||
| 360 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 361 | const _CharT __fill = __os.fill(); | |
| 362 | const _CharT __space = __os.widen(' '); | |
| 363 | __os.flags(__ios_base::dec | __ios_base::fixed | __ios_base::left); | |
| 364 | __os.fill(__space); | |
| 365 | ||
| 366 | for (size_t __i = 0; __i < __x._M_nstate32; ++__i) | |
| 367 | __os << __x._M_state32[__i] << __space; | |
| 368 | __os << __x._M_pos; | |
| 369 | ||
| 370 | __os.flags(__flags); | |
| 371 | __os.fill(__fill); | |
| 372 | return __os; | |
| 373 | } | |
| 374 | ||
| 375 | ||
| 376 | template<typename _UIntType, size_t __m, | |
| 377 | size_t __pos1, size_t __sl1, size_t __sl2, | |
| 378 | size_t __sr1, size_t __sr2, | |
| 379 | uint32_t __msk1, uint32_t __msk2, | |
| 380 | uint32_t __msk3, uint32_t __msk4, | |
| 381 | uint32_t __parity1, uint32_t __parity2, | |
| 382 | uint32_t __parity3, uint32_t __parity4, | |
| 383 | typename _CharT, typename _Traits> | |
| 384 | std::basic_istream<_CharT, _Traits>& | |
| 385 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 386 | __gnu_cxx::simd_fast_mersenne_twister_engine<_UIntType, | |
| 387 | __m, __pos1, __sl1, __sl2, __sr1, __sr2, | |
| 388 | __msk1, __msk2, __msk3, __msk4, | |
| 389 | __parity1, __parity2, __parity3, __parity4>& __x) | |
| 390 | { | |
| 391 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 392 | typedef typename __istream_type::ios_base __ios_base; | |
| 393 | ||
| 394 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 395 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 396 | ||
| 397 | for (size_t __i = 0; __i < __x._M_nstate32; ++__i) | |
| 398 | __is >> __x._M_state32[__i]; | |
| 399 | __is >> __x._M_pos; | |
| 400 | ||
| 401 | __is.flags(__flags); | |
| 402 | return __is; | |
| 403 | } | |
| 404 | ||
| eeeef8f4 | 405 | #endif // __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__ |
| d4d348a9 UD |
406 | |
| 407 | /** | |
| 408 | * Iteration method due to M.D. J<o:>hnk. | |
| 409 | * | |
| 410 | * M.D. J<o:>hnk, Erzeugung von betaverteilten und gammaverteilten | |
| 411 | * Zufallszahlen, Metrika, Volume 8, 1964 | |
| 412 | */ | |
| 413 | template<typename _RealType> | |
| 414 | template<typename _UniformRandomNumberGenerator> | |
| 415 | typename beta_distribution<_RealType>::result_type | |
| 416 | beta_distribution<_RealType>:: | |
| 417 | operator()(_UniformRandomNumberGenerator& __urng, | |
| 418 | const param_type& __param) | |
| 419 | { | |
| 420 | std::__detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
| 421 | __aurng(__urng); | |
| 422 | ||
| 423 | result_type __x, __y; | |
| 424 | do | |
| 425 | { | |
| 426 | __x = std::exp(std::log(__aurng()) / __param.alpha()); | |
| 427 | __y = std::exp(std::log(__aurng()) / __param.beta()); | |
| 428 | } | |
| 429 | while (__x + __y > result_type(1)); | |
| 430 | ||
| 431 | return __x / (__x + __y); | |
| 432 | } | |
| 433 | ||
| 434 | template<typename _RealType> | |
| 435 | template<typename _OutputIterator, | |
| 436 | typename _UniformRandomNumberGenerator> | |
| 437 | void | |
| 438 | beta_distribution<_RealType>:: | |
| 439 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 440 | _UniformRandomNumberGenerator& __urng, | |
| 441 | const param_type& __param) | |
| 442 | { | |
| 443 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 444 | ||
| 445 | std::__detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
| 446 | __aurng(__urng); | |
| 447 | ||
| 448 | while (__f != __t) | |
| 449 | { | |
| 450 | result_type __x, __y; | |
| 451 | do | |
| 452 | { | |
| 453 | __x = std::exp(std::log(__aurng()) / __param.alpha()); | |
| 454 | __y = std::exp(std::log(__aurng()) / __param.beta()); | |
| 455 | } | |
| 456 | while (__x + __y > result_type(1)); | |
| 457 | ||
| 458 | *__f++ = __x / (__x + __y); | |
| 459 | } | |
| 460 | } | |
| 461 | ||
| 462 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 463 | std::basic_ostream<_CharT, _Traits>& | |
| 464 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 465 | const __gnu_cxx::beta_distribution<_RealType>& __x) | |
| 466 | { | |
| 467 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 468 | typedef typename __ostream_type::ios_base __ios_base; | |
| 469 | ||
| 470 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 471 | const _CharT __fill = __os.fill(); | |
| 472 | const std::streamsize __precision = __os.precision(); | |
| 473 | const _CharT __space = __os.widen(' '); | |
| 474 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 475 | __os.fill(__space); | |
| 476 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 477 | ||
| 478 | __os << __x.alpha() << __space << __x.beta(); | |
| 479 | ||
| 480 | __os.flags(__flags); | |
| 481 | __os.fill(__fill); | |
| 482 | __os.precision(__precision); | |
| 483 | return __os; | |
| 484 | } | |
| 485 | ||
| 486 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 487 | std::basic_istream<_CharT, _Traits>& | |
| 488 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 489 | __gnu_cxx::beta_distribution<_RealType>& __x) | |
| 490 | { | |
| 491 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 492 | typedef typename __istream_type::ios_base __ios_base; | |
| 493 | ||
| 494 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 495 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 496 | ||
| 497 | _RealType __alpha_val, __beta_val; | |
| 498 | __is >> __alpha_val >> __beta_val; | |
| 499 | __x.param(typename __gnu_cxx::beta_distribution<_RealType>:: | |
| 500 | param_type(__alpha_val, __beta_val)); | |
| 501 | ||
| 502 | __is.flags(__flags); | |
| 503 | return __is; | |
| 504 | } | |
| 505 | ||
| bf30f229 UD |
506 | |
| 507 | template<std::size_t _Dimen, typename _RealType> | |
| 508 | template<typename _InputIterator1, typename _InputIterator2> | |
| 509 | void | |
| 510 | normal_mv_distribution<_Dimen, _RealType>::param_type:: | |
| 511 | _M_init_full(_InputIterator1 __meanbegin, _InputIterator1 __meanend, | |
| 512 | _InputIterator2 __varcovbegin, _InputIterator2 __varcovend) | |
| 513 | { | |
| 514 | __glibcxx_function_requires(_InputIteratorConcept<_InputIterator1>) | |
| 515 | __glibcxx_function_requires(_InputIteratorConcept<_InputIterator2>) | |
| 516 | std::fill(std::copy(__meanbegin, __meanend, _M_mean.begin()), | |
| 517 | _M_mean.end(), _RealType(0)); | |
| 518 | ||
| 519 | // Perform the Cholesky decomposition | |
| 520 | auto __w = _M_t.begin(); | |
| 521 | for (size_t __j = 0; __j < _Dimen; ++__j) | |
| 522 | { | |
| 523 | _RealType __sum = _RealType(0); | |
| 524 | ||
| 525 | auto __slitbegin = __w; | |
| 526 | auto __cit = _M_t.begin(); | |
| 527 | for (size_t __i = 0; __i < __j; ++__i) | |
| 528 | { | |
| 529 | auto __slit = __slitbegin; | |
| 530 | _RealType __s = *__varcovbegin++; | |
| 531 | for (size_t __k = 0; __k < __i; ++__k) | |
| 532 | __s -= *__slit++ * *__cit++; | |
| 533 | ||
| 534 | *__w++ = __s /= *__cit++; | |
| 535 | __sum += __s * __s; | |
| 536 | } | |
| 537 | ||
| 538 | __sum = *__varcovbegin - __sum; | |
| 539 | if (__builtin_expect(__sum <= _RealType(0), 0)) | |
| 540 | std::__throw_runtime_error(__N("normal_mv_distribution::" | |
| 541 | "param_type::_M_init_full")); | |
| 542 | *__w++ = std::sqrt(__sum); | |
| 543 | ||
| 544 | std::advance(__varcovbegin, _Dimen - __j); | |
| 545 | } | |
| 546 | } | |
| 547 | ||
| 548 | template<std::size_t _Dimen, typename _RealType> | |
| 549 | template<typename _InputIterator1, typename _InputIterator2> | |
| 550 | void | |
| 551 | normal_mv_distribution<_Dimen, _RealType>::param_type:: | |
| 552 | _M_init_lower(_InputIterator1 __meanbegin, _InputIterator1 __meanend, | |
| 553 | _InputIterator2 __varcovbegin, _InputIterator2 __varcovend) | |
| 554 | { | |
| 555 | __glibcxx_function_requires(_InputIteratorConcept<_InputIterator1>) | |
| 556 | __glibcxx_function_requires(_InputIteratorConcept<_InputIterator2>) | |
| 557 | std::fill(std::copy(__meanbegin, __meanend, _M_mean.begin()), | |
| 558 | _M_mean.end(), _RealType(0)); | |
| 559 | ||
| 560 | // Perform the Cholesky decomposition | |
| 561 | auto __w = _M_t.begin(); | |
| 562 | for (size_t __j = 0; __j < _Dimen; ++__j) | |
| 563 | { | |
| 564 | _RealType __sum = _RealType(0); | |
| 565 | ||
| 566 | auto __slitbegin = __w; | |
| 567 | auto __cit = _M_t.begin(); | |
| 568 | for (size_t __i = 0; __i < __j; ++__i) | |
| 569 | { | |
| 570 | auto __slit = __slitbegin; | |
| 571 | _RealType __s = *__varcovbegin++; | |
| 572 | for (size_t __k = 0; __k < __i; ++__k) | |
| 573 | __s -= *__slit++ * *__cit++; | |
| 574 | ||
| 575 | *__w++ = __s /= *__cit++; | |
| 576 | __sum += __s * __s; | |
| 577 | } | |
| 578 | ||
| 579 | __sum = *__varcovbegin++ - __sum; | |
| 580 | if (__builtin_expect(__sum <= _RealType(0), 0)) | |
| 581 | std::__throw_runtime_error(__N("normal_mv_distribution::" | |
| 582 | "param_type::_M_init_full")); | |
| 583 | *__w++ = std::sqrt(__sum); | |
| 584 | } | |
| 585 | } | |
| 586 | ||
| 587 | template<std::size_t _Dimen, typename _RealType> | |
| 588 | template<typename _InputIterator1, typename _InputIterator2> | |
| 589 | void | |
| 590 | normal_mv_distribution<_Dimen, _RealType>::param_type:: | |
| 591 | _M_init_diagonal(_InputIterator1 __meanbegin, _InputIterator1 __meanend, | |
| 592 | _InputIterator2 __varbegin, _InputIterator2 __varend) | |
| 593 | { | |
| 594 | __glibcxx_function_requires(_InputIteratorConcept<_InputIterator1>) | |
| 595 | __glibcxx_function_requires(_InputIteratorConcept<_InputIterator2>) | |
| 596 | std::fill(std::copy(__meanbegin, __meanend, _M_mean.begin()), | |
| 597 | _M_mean.end(), _RealType(0)); | |
| 598 | ||
| 599 | auto __w = _M_t.begin(); | |
| 600 | size_t __step = 0; | |
| 601 | while (__varbegin != __varend) | |
| 602 | { | |
| 603 | std::fill_n(__w, __step, _RealType(0)); | |
| 604 | __w += __step++; | |
| 605 | if (__builtin_expect(*__varbegin < _RealType(0), 0)) | |
| 606 | std::__throw_runtime_error(__N("normal_mv_distribution::" | |
| 607 | "param_type::_M_init_diagonal")); | |
| 608 | *__w++ = std::sqrt(*__varbegin++); | |
| 609 | } | |
| 610 | } | |
| 611 | ||
| 612 | template<std::size_t _Dimen, typename _RealType> | |
| 613 | template<typename _UniformRandomNumberGenerator> | |
| 614 | typename normal_mv_distribution<_Dimen, _RealType>::result_type | |
| 615 | normal_mv_distribution<_Dimen, _RealType>:: | |
| 616 | operator()(_UniformRandomNumberGenerator& __urng, | |
| 617 | const param_type& __param) | |
| 618 | { | |
| 619 | result_type __ret; | |
| 620 | ||
| ff99de98 | 621 | _M_nd.__generate(__ret.begin(), __ret.end(), __urng); |
| bf30f229 UD |
622 | |
| 623 | auto __t_it = __param._M_t.crbegin(); | |
| 624 | for (size_t __i = _Dimen; __i > 0; --__i) | |
| 625 | { | |
| 626 | _RealType __sum = _RealType(0); | |
| 627 | for (size_t __j = __i; __j > 0; --__j) | |
| 628 | __sum += __ret[__j - 1] * *__t_it++; | |
| 629 | __ret[__i - 1] = __sum; | |
| 630 | } | |
| 631 | ||
| 632 | return __ret; | |
| 633 | } | |
| 634 | ||
| 635 | template<std::size_t _Dimen, typename _RealType> | |
| 636 | template<typename _ForwardIterator, typename _UniformRandomNumberGenerator> | |
| 637 | void | |
| 638 | normal_mv_distribution<_Dimen, _RealType>:: | |
| 639 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
| 640 | _UniformRandomNumberGenerator& __urng, | |
| 641 | const param_type& __param) | |
| 642 | { | |
| 643 | __glibcxx_function_requires(_Mutable_ForwardIteratorConcept< | |
| 644 | _ForwardIterator>) | |
| 645 | while (__f != __t) | |
| 646 | *__f++ = this->operator()(__urng, __param); | |
| 647 | } | |
| 648 | ||
| 649 | template<size_t _Dimen, typename _RealType> | |
| 650 | bool | |
| 651 | operator==(const __gnu_cxx::normal_mv_distribution<_Dimen, _RealType>& | |
| 652 | __d1, | |
| 653 | const __gnu_cxx::normal_mv_distribution<_Dimen, _RealType>& | |
| 654 | __d2) | |
| 655 | { | |
| 656 | return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; | |
| 657 | } | |
| 658 | ||
| 659 | template<size_t _Dimen, typename _RealType, typename _CharT, typename _Traits> | |
| 660 | std::basic_ostream<_CharT, _Traits>& | |
| 661 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 662 | const __gnu_cxx::normal_mv_distribution<_Dimen, _RealType>& __x) | |
| 663 | { | |
| 664 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 665 | typedef typename __ostream_type::ios_base __ios_base; | |
| 666 | ||
| 667 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 668 | const _CharT __fill = __os.fill(); | |
| 669 | const std::streamsize __precision = __os.precision(); | |
| 670 | const _CharT __space = __os.widen(' '); | |
| 671 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 672 | __os.fill(__space); | |
| 673 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 674 | ||
| 675 | auto __mean = __x._M_param.mean(); | |
| 676 | for (auto __it : __mean) | |
| 677 | __os << __it << __space; | |
| 678 | auto __t = __x._M_param.varcov(); | |
| 679 | for (auto __it : __t) | |
| 680 | __os << __it << __space; | |
| 681 | ||
| 682 | __os << __x._M_nd; | |
| 683 | ||
| 684 | __os.flags(__flags); | |
| 685 | __os.fill(__fill); | |
| 686 | __os.precision(__precision); | |
| 687 | return __os; | |
| 688 | } | |
| 689 | ||
| 690 | template<size_t _Dimen, typename _RealType, typename _CharT, typename _Traits> | |
| 691 | std::basic_istream<_CharT, _Traits>& | |
| 692 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 693 | __gnu_cxx::normal_mv_distribution<_Dimen, _RealType>& __x) | |
| 694 | { | |
| 695 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 696 | typedef typename __istream_type::ios_base __ios_base; | |
| 697 | ||
| 698 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 699 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 700 | ||
| 701 | std::array<_RealType, _Dimen> __mean; | |
| 702 | for (auto& __it : __mean) | |
| 703 | __is >> __it; | |
| 704 | std::array<_RealType, _Dimen * (_Dimen + 1) / 2> __varcov; | |
| 705 | for (auto& __it : __varcov) | |
| 706 | __is >> __it; | |
| 707 | ||
| 708 | __is >> __x._M_nd; | |
| 709 | ||
| 710 | __x.param(typename normal_mv_distribution<_Dimen, _RealType>:: | |
| 711 | param_type(__mean.begin(), __mean.end(), | |
| 712 | __varcov.begin(), __varcov.end())); | |
| 713 | ||
| 714 | __is.flags(__flags); | |
| 715 | return __is; | |
| 716 | } | |
| 717 | ||
| 718 | ||
| 28312618 ESR |
719 | template<typename _RealType> |
| 720 | template<typename _OutputIterator, | |
| 721 | typename _UniformRandomNumberGenerator> | |
| 722 | void | |
| 723 | rice_distribution<_RealType>:: | |
| 724 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 725 | _UniformRandomNumberGenerator& __urng, | |
| 726 | const param_type& __p) | |
| 727 | { | |
| 728 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 729 | ||
| 28312618 ESR |
730 | while (__f != __t) |
| 731 | { | |
| 732 | typename std::normal_distribution<result_type>::param_type | |
| 733 | __px(__p.nu(), __p.sigma()), __py(result_type(0), __p.sigma()); | |
| 734 | result_type __x = this->_M_ndx(__px, __urng); | |
| 735 | result_type __y = this->_M_ndy(__py, __urng); | |
| decf0e27 | 736 | #if _GLIBCXX_USE_C99_MATH_TR1 |
| 28312618 | 737 | *__f++ = std::hypot(__x, __y); |
| decf0e27 PC |
738 | #else |
| 739 | *__f++ = std::sqrt(__x * __x + __y * __y); | |
| 740 | #endif | |
| 28312618 ESR |
741 | } |
| 742 | } | |
| 743 | ||
| 744 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 745 | std::basic_ostream<_CharT, _Traits>& | |
| 746 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 747 | const rice_distribution<_RealType>& __x) | |
| 748 | { | |
| 749 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 750 | typedef typename __ostream_type::ios_base __ios_base; | |
| 751 | ||
| 752 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 753 | const _CharT __fill = __os.fill(); | |
| 754 | const std::streamsize __precision = __os.precision(); | |
| 755 | const _CharT __space = __os.widen(' '); | |
| 756 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 757 | __os.fill(__space); | |
| 758 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 759 | ||
| 760 | __os << __x.nu() << __space << __x.sigma(); | |
| 761 | __os << __space << __x._M_ndx; | |
| 762 | __os << __space << __x._M_ndy; | |
| 763 | ||
| 764 | __os.flags(__flags); | |
| 765 | __os.fill(__fill); | |
| 766 | __os.precision(__precision); | |
| 767 | return __os; | |
| 768 | } | |
| 769 | ||
| 770 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 771 | std::basic_istream<_CharT, _Traits>& | |
| 772 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 773 | rice_distribution<_RealType>& __x) | |
| 774 | { | |
| 775 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 776 | typedef typename __istream_type::ios_base __ios_base; | |
| 777 | ||
| 778 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 779 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 780 | ||
| 37f1d5c9 UB |
781 | _RealType __nu_val, __sigma_val; |
| 782 | __is >> __nu_val >> __sigma_val; | |
| 28312618 ESR |
783 | __is >> __x._M_ndx; |
| 784 | __is >> __x._M_ndy; | |
| 785 | __x.param(typename rice_distribution<_RealType>:: | |
| 37f1d5c9 | 786 | param_type(__nu_val, __sigma_val)); |
| 28312618 ESR |
787 | |
| 788 | __is.flags(__flags); | |
| 789 | return __is; | |
| 790 | } | |
| 791 | ||
| 19ece7ec ESR |
792 | |
| 793 | template<typename _RealType> | |
| 794 | template<typename _OutputIterator, | |
| 795 | typename _UniformRandomNumberGenerator> | |
| 796 | void | |
| 797 | nakagami_distribution<_RealType>:: | |
| 798 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 799 | _UniformRandomNumberGenerator& __urng, | |
| 800 | const param_type& __p) | |
| 801 | { | |
| 802 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 803 | ||
| 804 | typename std::gamma_distribution<result_type>::param_type | |
| 805 | __pg(__p.mu(), __p.omega() / __p.mu()); | |
| 806 | while (__f != __t) | |
| 807 | *__f++ = std::sqrt(this->_M_gd(__pg, __urng)); | |
| 808 | } | |
| 809 | ||
| 810 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 811 | std::basic_ostream<_CharT, _Traits>& | |
| 812 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 813 | const nakagami_distribution<_RealType>& __x) | |
| 814 | { | |
| 815 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 816 | typedef typename __ostream_type::ios_base __ios_base; | |
| 817 | ||
| 818 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 819 | const _CharT __fill = __os.fill(); | |
| 820 | const std::streamsize __precision = __os.precision(); | |
| 821 | const _CharT __space = __os.widen(' '); | |
| 822 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 823 | __os.fill(__space); | |
| 824 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 825 | ||
| 826 | __os << __x.mu() << __space << __x.omega(); | |
| 827 | __os << __space << __x._M_gd; | |
| 828 | ||
| 829 | __os.flags(__flags); | |
| 830 | __os.fill(__fill); | |
| 831 | __os.precision(__precision); | |
| 832 | return __os; | |
| 833 | } | |
| 834 | ||
| 835 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 836 | std::basic_istream<_CharT, _Traits>& | |
| 837 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 838 | nakagami_distribution<_RealType>& __x) | |
| 839 | { | |
| 840 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 841 | typedef typename __istream_type::ios_base __ios_base; | |
| 842 | ||
| 843 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 844 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 845 | ||
| 37f1d5c9 UB |
846 | _RealType __mu_val, __omega_val; |
| 847 | __is >> __mu_val >> __omega_val; | |
| 19ece7ec ESR |
848 | __is >> __x._M_gd; |
| 849 | __x.param(typename nakagami_distribution<_RealType>:: | |
| 37f1d5c9 | 850 | param_type(__mu_val, __omega_val)); |
| 19ece7ec ESR |
851 | |
| 852 | __is.flags(__flags); | |
| 853 | return __is; | |
| 854 | } | |
| 855 | ||
| 0c105b72 ESR |
856 | |
| 857 | template<typename _RealType> | |
| 858 | template<typename _OutputIterator, | |
| 859 | typename _UniformRandomNumberGenerator> | |
| 860 | void | |
| 861 | pareto_distribution<_RealType>:: | |
| 862 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 863 | _UniformRandomNumberGenerator& __urng, | |
| 864 | const param_type& __p) | |
| 865 | { | |
| 866 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 867 | ||
| 37f1d5c9 | 868 | result_type __mu_val = __p.mu(); |
| 0c105b72 ESR |
869 | result_type __malphinv = -result_type(1) / __p.alpha(); |
| 870 | while (__f != __t) | |
| 37f1d5c9 | 871 | *__f++ = __mu_val * std::pow(this->_M_ud(__urng), __malphinv); |
| 0c105b72 ESR |
872 | } |
| 873 | ||
| 874 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 875 | std::basic_ostream<_CharT, _Traits>& | |
| 876 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 877 | const pareto_distribution<_RealType>& __x) | |
| 878 | { | |
| 879 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 880 | typedef typename __ostream_type::ios_base __ios_base; | |
| 881 | ||
| 882 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 883 | const _CharT __fill = __os.fill(); | |
| 884 | const std::streamsize __precision = __os.precision(); | |
| 885 | const _CharT __space = __os.widen(' '); | |
| 886 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 887 | __os.fill(__space); | |
| 888 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 889 | ||
| 890 | __os << __x.alpha() << __space << __x.mu(); | |
| 891 | __os << __space << __x._M_ud; | |
| 892 | ||
| 893 | __os.flags(__flags); | |
| 894 | __os.fill(__fill); | |
| 895 | __os.precision(__precision); | |
| 896 | return __os; | |
| 897 | } | |
| 898 | ||
| 899 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 900 | std::basic_istream<_CharT, _Traits>& | |
| 901 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 902 | pareto_distribution<_RealType>& __x) | |
| 903 | { | |
| 904 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 905 | typedef typename __istream_type::ios_base __ios_base; | |
| 906 | ||
| 907 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 908 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 909 | ||
| 37f1d5c9 UB |
910 | _RealType __alpha_val, __mu_val; |
| 911 | __is >> __alpha_val >> __mu_val; | |
| 0c105b72 ESR |
912 | __is >> __x._M_ud; |
| 913 | __x.param(typename pareto_distribution<_RealType>:: | |
| 37f1d5c9 | 914 | param_type(__alpha_val, __mu_val)); |
| 0c105b72 ESR |
915 | |
| 916 | __is.flags(__flags); | |
| 917 | return __is; | |
| 918 | } | |
| 919 | ||
| 21a8ccc0 ESR |
920 | |
| 921 | template<typename _RealType> | |
| 922 | template<typename _UniformRandomNumberGenerator> | |
| 923 | typename k_distribution<_RealType>::result_type | |
| 924 | k_distribution<_RealType>:: | |
| 925 | operator()(_UniformRandomNumberGenerator& __urng) | |
| 926 | { | |
| 927 | result_type __x = this->_M_gd1(__urng); | |
| 928 | result_type __y = this->_M_gd2(__urng); | |
| 929 | return std::sqrt(__x * __y); | |
| 930 | } | |
| 931 | ||
| 932 | template<typename _RealType> | |
| 933 | template<typename _UniformRandomNumberGenerator> | |
| 934 | typename k_distribution<_RealType>::result_type | |
| 935 | k_distribution<_RealType>:: | |
| 936 | operator()(_UniformRandomNumberGenerator& __urng, | |
| 937 | const param_type& __p) | |
| 938 | { | |
| 939 | typename std::gamma_distribution<result_type>::param_type | |
| 940 | __p1(__p.lambda(), result_type(1) / __p.lambda()), | |
| 941 | __p2(__p.nu(), __p.mu() / __p.nu()); | |
| 942 | result_type __x = this->_M_gd1(__p1, __urng); | |
| 943 | result_type __y = this->_M_gd2(__p2, __urng); | |
| 944 | return std::sqrt(__x * __y); | |
| 945 | } | |
| 946 | ||
| 947 | template<typename _RealType> | |
| 948 | template<typename _OutputIterator, | |
| 949 | typename _UniformRandomNumberGenerator> | |
| 950 | void | |
| 951 | k_distribution<_RealType>:: | |
| 952 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 953 | _UniformRandomNumberGenerator& __urng, | |
| 954 | const param_type& __p) | |
| 955 | { | |
| 956 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 957 | ||
| 958 | typename std::gamma_distribution<result_type>::param_type | |
| 959 | __p1(__p.lambda(), result_type(1) / __p.lambda()), | |
| 960 | __p2(__p.nu(), __p.mu() / __p.nu()); | |
| 961 | while (__f != __t) | |
| 962 | { | |
| 963 | result_type __x = this->_M_gd1(__p1, __urng); | |
| 964 | result_type __y = this->_M_gd2(__p2, __urng); | |
| 965 | *__f++ = std::sqrt(__x * __y); | |
| 966 | } | |
| 967 | } | |
| 968 | ||
| 969 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 970 | std::basic_ostream<_CharT, _Traits>& | |
| 971 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 972 | const k_distribution<_RealType>& __x) | |
| 973 | { | |
| 974 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 975 | typedef typename __ostream_type::ios_base __ios_base; | |
| 976 | ||
| 977 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 978 | const _CharT __fill = __os.fill(); | |
| 979 | const std::streamsize __precision = __os.precision(); | |
| 980 | const _CharT __space = __os.widen(' '); | |
| 981 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 982 | __os.fill(__space); | |
| 983 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 984 | ||
| 985 | __os << __x.lambda() << __space << __x.mu() << __space << __x.nu(); | |
| 986 | __os << __space << __x._M_gd1; | |
| 987 | __os << __space << __x._M_gd2; | |
| 988 | ||
| 989 | __os.flags(__flags); | |
| 990 | __os.fill(__fill); | |
| 991 | __os.precision(__precision); | |
| 992 | return __os; | |
| 993 | } | |
| 994 | ||
| 995 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 996 | std::basic_istream<_CharT, _Traits>& | |
| 997 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 998 | k_distribution<_RealType>& __x) | |
| 999 | { | |
| 1000 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 1001 | typedef typename __istream_type::ios_base __ios_base; | |
| 1002 | ||
| 1003 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 1004 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 1005 | ||
| 1006 | _RealType __lambda_val, __mu_val, __nu_val; | |
| 1007 | __is >> __lambda_val >> __mu_val >> __nu_val; | |
| 1008 | __is >> __x._M_gd1; | |
| 1009 | __is >> __x._M_gd2; | |
| 1010 | __x.param(typename k_distribution<_RealType>:: | |
| 1011 | param_type(__lambda_val, __mu_val, __nu_val)); | |
| 1012 | ||
| 1013 | __is.flags(__flags); | |
| 1014 | return __is; | |
| 1015 | } | |
| 1016 | ||
| 50060222 ESR |
1017 | |
| 1018 | template<typename _RealType> | |
| 1019 | template<typename _OutputIterator, | |
| 1020 | typename _UniformRandomNumberGenerator> | |
| 1021 | void | |
| 1022 | arcsine_distribution<_RealType>:: | |
| 1023 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 1024 | _UniformRandomNumberGenerator& __urng, | |
| 1025 | const param_type& __p) | |
| 1026 | { | |
| 1027 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 1028 | ||
| 1029 | result_type __dif = __p.b() - __p.a(); | |
| 1030 | result_type __sum = __p.a() + __p.b(); | |
| 1031 | while (__f != __t) | |
| 1032 | { | |
| 1033 | result_type __x = std::sin(this->_M_ud(__urng)); | |
| 1034 | *__f++ = (__x * __dif + __sum) / result_type(2); | |
| 1035 | } | |
| 1036 | } | |
| 1037 | ||
| 1038 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1039 | std::basic_ostream<_CharT, _Traits>& | |
| 1040 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 1041 | const arcsine_distribution<_RealType>& __x) | |
| 1042 | { | |
| 1043 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 1044 | typedef typename __ostream_type::ios_base __ios_base; | |
| 1045 | ||
| 1046 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 1047 | const _CharT __fill = __os.fill(); | |
| 1048 | const std::streamsize __precision = __os.precision(); | |
| 1049 | const _CharT __space = __os.widen(' '); | |
| 1050 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 1051 | __os.fill(__space); | |
| 1052 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 1053 | ||
| 1054 | __os << __x.a() << __space << __x.b(); | |
| 1055 | __os << __space << __x._M_ud; | |
| 1056 | ||
| 1057 | __os.flags(__flags); | |
| 1058 | __os.fill(__fill); | |
| 1059 | __os.precision(__precision); | |
| 1060 | return __os; | |
| 1061 | } | |
| 1062 | ||
| 1063 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1064 | std::basic_istream<_CharT, _Traits>& | |
| 1065 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 1066 | arcsine_distribution<_RealType>& __x) | |
| 1067 | { | |
| 1068 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 1069 | typedef typename __istream_type::ios_base __ios_base; | |
| 1070 | ||
| 1071 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 1072 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 1073 | ||
| 1074 | _RealType __a, __b; | |
| 1075 | __is >> __a >> __b; | |
| 1076 | __is >> __x._M_ud; | |
| 1077 | __x.param(typename arcsine_distribution<_RealType>:: | |
| 1078 | param_type(__a, __b)); | |
| 1079 | ||
| 1080 | __is.flags(__flags); | |
| 1081 | return __is; | |
| 1082 | } | |
| 1083 | ||
| 1084 | ||
| 1085 | template<typename _RealType> | |
| 1086 | template<typename _UniformRandomNumberGenerator> | |
| 1087 | typename hoyt_distribution<_RealType>::result_type | |
| 1088 | hoyt_distribution<_RealType>:: | |
| 1089 | operator()(_UniformRandomNumberGenerator& __urng) | |
| 1090 | { | |
| 1091 | result_type __x = this->_M_ad(__urng); | |
| 1092 | result_type __y = this->_M_ed(__urng); | |
| 1093 | return (result_type(2) * this->q() | |
| 1094 | / (result_type(1) + this->q() * this->q())) | |
| 1095 | * std::sqrt(this->omega() * __x * __y); | |
| 1096 | } | |
| 1097 | ||
| 1098 | template<typename _RealType> | |
| 1099 | template<typename _UniformRandomNumberGenerator> | |
| 1100 | typename hoyt_distribution<_RealType>::result_type | |
| 1101 | hoyt_distribution<_RealType>:: | |
| 1102 | operator()(_UniformRandomNumberGenerator& __urng, | |
| 1103 | const param_type& __p) | |
| 1104 | { | |
| 1105 | result_type __q2 = __p.q() * __p.q(); | |
| 1106 | result_type __num = result_type(0.5L) * (result_type(1) + __q2); | |
| 1107 | typename __gnu_cxx::arcsine_distribution<result_type>::param_type | |
| 1108 | __pa(__num, __num / __q2); | |
| 1109 | result_type __x = this->_M_ad(__pa, __urng); | |
| 1110 | result_type __y = this->_M_ed(__urng); | |
| 1111 | return (result_type(2) * __p.q() / (result_type(1) + __q2)) | |
| 1112 | * std::sqrt(__p.omega() * __x * __y); | |
| 1113 | } | |
| 1114 | ||
| 1115 | template<typename _RealType> | |
| 1116 | template<typename _OutputIterator, | |
| 1117 | typename _UniformRandomNumberGenerator> | |
| 1118 | void | |
| 1119 | hoyt_distribution<_RealType>:: | |
| 1120 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 1121 | _UniformRandomNumberGenerator& __urng, | |
| 1122 | const param_type& __p) | |
| 1123 | { | |
| 1124 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 1125 | ||
| 1126 | result_type __2q = result_type(2) * __p.q(); | |
| 1127 | result_type __q2 = __p.q() * __p.q(); | |
| 1128 | result_type __q2p1 = result_type(1) + __q2; | |
| 1129 | result_type __num = result_type(0.5L) * __q2p1; | |
| 1130 | result_type __omega = __p.omega(); | |
| 1131 | typename __gnu_cxx::arcsine_distribution<result_type>::param_type | |
| 1132 | __pa(__num, __num / __q2); | |
| 1133 | while (__f != __t) | |
| 1134 | { | |
| 1135 | result_type __x = this->_M_ad(__pa, __urng); | |
| 1136 | result_type __y = this->_M_ed(__urng); | |
| 1137 | *__f++ = (__2q / __q2p1) * std::sqrt(__omega * __x * __y); | |
| 1138 | } | |
| 1139 | } | |
| 1140 | ||
| 1141 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1142 | std::basic_ostream<_CharT, _Traits>& | |
| 1143 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 1144 | const hoyt_distribution<_RealType>& __x) | |
| 1145 | { | |
| 1146 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 1147 | typedef typename __ostream_type::ios_base __ios_base; | |
| 1148 | ||
| 1149 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 1150 | const _CharT __fill = __os.fill(); | |
| 1151 | const std::streamsize __precision = __os.precision(); | |
| 1152 | const _CharT __space = __os.widen(' '); | |
| 1153 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 1154 | __os.fill(__space); | |
| 1155 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 1156 | ||
| 1157 | __os << __x.q() << __space << __x.omega(); | |
| 1158 | __os << __space << __x._M_ad; | |
| 1159 | __os << __space << __x._M_ed; | |
| 1160 | ||
| 1161 | __os.flags(__flags); | |
| 1162 | __os.fill(__fill); | |
| 1163 | __os.precision(__precision); | |
| 1164 | return __os; | |
| 1165 | } | |
| 1166 | ||
| 1167 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1168 | std::basic_istream<_CharT, _Traits>& | |
| 1169 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 1170 | hoyt_distribution<_RealType>& __x) | |
| 1171 | { | |
| 1172 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 1173 | typedef typename __istream_type::ios_base __ios_base; | |
| 1174 | ||
| 1175 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 1176 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 1177 | ||
| 1178 | _RealType __q, __omega; | |
| 1179 | __is >> __q >> __omega; | |
| 1180 | __is >> __x._M_ad; | |
| 1181 | __is >> __x._M_ed; | |
| 1182 | __x.param(typename hoyt_distribution<_RealType>:: | |
| 1183 | param_type(__q, __omega)); | |
| 1184 | ||
| 1185 | __is.flags(__flags); | |
| 1186 | return __is; | |
| 1187 | } | |
| 1188 | ||
| d233c237 UD |
1189 | |
| 1190 | template<typename _RealType> | |
| 1191 | template<typename _OutputIterator, | |
| 1192 | typename _UniformRandomNumberGenerator> | |
| 1193 | void | |
| 1194 | triangular_distribution<_RealType>:: | |
| 1195 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 1196 | _UniformRandomNumberGenerator& __urng, | |
| 1197 | const param_type& __param) | |
| 1198 | { | |
| 1199 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 1200 | ||
| 1201 | while (__f != __t) | |
| 1202 | *__f++ = this->operator()(__urng, __param); | |
| 1203 | } | |
| 1204 | ||
| 1205 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1206 | std::basic_ostream<_CharT, _Traits>& | |
| 1207 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 1208 | const __gnu_cxx::triangular_distribution<_RealType>& __x) | |
| 1209 | { | |
| 1210 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 1211 | typedef typename __ostream_type::ios_base __ios_base; | |
| 1212 | ||
| 1213 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 1214 | const _CharT __fill = __os.fill(); | |
| 1215 | const std::streamsize __precision = __os.precision(); | |
| 1216 | const _CharT __space = __os.widen(' '); | |
| 1217 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 1218 | __os.fill(__space); | |
| 1219 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 1220 | ||
| 1221 | __os << __x.a() << __space << __x.b() << __space << __x.c(); | |
| 1222 | ||
| 1223 | __os.flags(__flags); | |
| 1224 | __os.fill(__fill); | |
| 1225 | __os.precision(__precision); | |
| 1226 | return __os; | |
| 1227 | } | |
| 1228 | ||
| 1229 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1230 | std::basic_istream<_CharT, _Traits>& | |
| 1231 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 1232 | __gnu_cxx::triangular_distribution<_RealType>& __x) | |
| 1233 | { | |
| 1234 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 1235 | typedef typename __istream_type::ios_base __ios_base; | |
| 1236 | ||
| 1237 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 1238 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 1239 | ||
| 1240 | _RealType __a, __b, __c; | |
| 1241 | __is >> __a >> __b >> __c; | |
| 1242 | __x.param(typename __gnu_cxx::triangular_distribution<_RealType>:: | |
| 1243 | param_type(__a, __b, __c)); | |
| 1244 | ||
| 1245 | __is.flags(__flags); | |
| 1246 | return __is; | |
| 1247 | } | |
| 1248 | ||
| 1249 | ||
| 1250 | template<typename _RealType> | |
| 1251 | template<typename _OutputIterator, | |
| 1252 | typename _UniformRandomNumberGenerator> | |
| 1253 | void | |
| 1254 | von_mises_distribution<_RealType>:: | |
| 1255 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 1256 | _UniformRandomNumberGenerator& __urng, | |
| 1257 | const param_type& __param) | |
| 1258 | { | |
| 1259 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 1260 | ||
| 1261 | while (__f != __t) | |
| 1262 | *__f++ = this->operator()(__urng, __param); | |
| 1263 | } | |
| 1264 | ||
| 1265 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1266 | std::basic_ostream<_CharT, _Traits>& | |
| 1267 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 1268 | const __gnu_cxx::von_mises_distribution<_RealType>& __x) | |
| 1269 | { | |
| 1270 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 1271 | typedef typename __ostream_type::ios_base __ios_base; | |
| 1272 | ||
| 1273 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 1274 | const _CharT __fill = __os.fill(); | |
| 1275 | const std::streamsize __precision = __os.precision(); | |
| 1276 | const _CharT __space = __os.widen(' '); | |
| 1277 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 1278 | __os.fill(__space); | |
| 1279 | __os.precision(std::numeric_limits<_RealType>::max_digits10); | |
| 1280 | ||
| 1281 | __os << __x.mu() << __space << __x.kappa(); | |
| 1282 | ||
| 1283 | __os.flags(__flags); | |
| 1284 | __os.fill(__fill); | |
| 1285 | __os.precision(__precision); | |
| 1286 | return __os; | |
| 1287 | } | |
| 1288 | ||
| 1289 | template<typename _RealType, typename _CharT, typename _Traits> | |
| 1290 | std::basic_istream<_CharT, _Traits>& | |
| 1291 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 1292 | __gnu_cxx::von_mises_distribution<_RealType>& __x) | |
| 1293 | { | |
| 1294 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 1295 | typedef typename __istream_type::ios_base __ios_base; | |
| 1296 | ||
| 1297 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 1298 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 1299 | ||
| 1300 | _RealType __mu, __kappa; | |
| 1301 | __is >> __mu >> __kappa; | |
| 1302 | __x.param(typename __gnu_cxx::von_mises_distribution<_RealType>:: | |
| 1303 | param_type(__mu, __kappa)); | |
| 1304 | ||
| 1305 | __is.flags(__flags); | |
| 1306 | return __is; | |
| 1307 | } | |
| 1308 | ||
| d2ae7b11 ESR |
1309 | |
| 1310 | template<typename _UIntType> | |
| 1311 | template<typename _UniformRandomNumberGenerator> | |
| 1312 | typename hypergeometric_distribution<_UIntType>::result_type | |
| 1313 | hypergeometric_distribution<_UIntType>:: | |
| 1314 | operator()(_UniformRandomNumberGenerator& __urng, | |
| 1315 | const param_type& __param) | |
| 1316 | { | |
| 1317 | std::__detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
| 1318 | __aurng(__urng); | |
| 1319 | ||
| 1320 | result_type __a = __param.successful_size(); | |
| 1321 | result_type __b = __param.total_size(); | |
| 1322 | result_type __k = 0; | |
| 1323 | ||
| 1324 | if (__param.total_draws() < __param.total_size() / 2) | |
| 1325 | { | |
| 1326 | for (result_type __i = 0; __i < __param.total_draws(); ++__i) | |
| 1327 | { | |
| 1328 | if (__b * __aurng() < __a) | |
| 1329 | { | |
| 1330 | ++__k; | |
| 1331 | if (__k == __param.successful_size()) | |
| 1332 | return __k; | |
| 1333 | --__a; | |
| 1334 | } | |
| 1335 | --__b; | |
| 1336 | } | |
| 1337 | return __k; | |
| 1338 | } | |
| 1339 | else | |
| 1340 | { | |
| 1341 | for (result_type __i = 0; __i < __param.unsuccessful_size(); ++__i) | |
| 1342 | { | |
| 1343 | if (__b * __aurng() < __a) | |
| 1344 | { | |
| 1345 | ++__k; | |
| 1346 | if (__k == __param.successful_size()) | |
| 1347 | return __param.successful_size() - __k; | |
| 1348 | --__a; | |
| 1349 | } | |
| 1350 | --__b; | |
| 1351 | } | |
| 1352 | return __param.successful_size() - __k; | |
| 1353 | } | |
| 1354 | } | |
| 1355 | ||
| 1356 | template<typename _UIntType> | |
| 1357 | template<typename _OutputIterator, | |
| 1358 | typename _UniformRandomNumberGenerator> | |
| 1359 | void | |
| 1360 | hypergeometric_distribution<_UIntType>:: | |
| 1361 | __generate_impl(_OutputIterator __f, _OutputIterator __t, | |
| 1362 | _UniformRandomNumberGenerator& __urng, | |
| 1363 | const param_type& __param) | |
| 1364 | { | |
| 1365 | __glibcxx_function_requires(_OutputIteratorConcept<_OutputIterator>) | |
| 1366 | ||
| 1367 | while (__f != __t) | |
| 1368 | *__f++ = this->operator()(__urng); | |
| 1369 | } | |
| 1370 | ||
| 1371 | template<typename _UIntType, typename _CharT, typename _Traits> | |
| 1372 | std::basic_ostream<_CharT, _Traits>& | |
| 1373 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
| 1374 | const __gnu_cxx::hypergeometric_distribution<_UIntType>& __x) | |
| 1375 | { | |
| 1376 | typedef std::basic_ostream<_CharT, _Traits> __ostream_type; | |
| 1377 | typedef typename __ostream_type::ios_base __ios_base; | |
| 1378 | ||
| 1379 | const typename __ios_base::fmtflags __flags = __os.flags(); | |
| 1380 | const _CharT __fill = __os.fill(); | |
| 1381 | const std::streamsize __precision = __os.precision(); | |
| 1382 | const _CharT __space = __os.widen(' '); | |
| 1383 | __os.flags(__ios_base::scientific | __ios_base::left); | |
| 1384 | __os.fill(__space); | |
| 1385 | __os.precision(std::numeric_limits<_UIntType>::max_digits10); | |
| 1386 | ||
| 1387 | __os << __x.total_size() << __space << __x.successful_size() << __space | |
| 1388 | << __x.total_draws(); | |
| 1389 | ||
| 1390 | __os.flags(__flags); | |
| 1391 | __os.fill(__fill); | |
| 1392 | __os.precision(__precision); | |
| 1393 | return __os; | |
| 1394 | } | |
| 1395 | ||
| 1396 | template<typename _UIntType, typename _CharT, typename _Traits> | |
| 1397 | std::basic_istream<_CharT, _Traits>& | |
| 1398 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
| 1399 | __gnu_cxx::hypergeometric_distribution<_UIntType>& __x) | |
| 1400 | { | |
| 1401 | typedef std::basic_istream<_CharT, _Traits> __istream_type; | |
| 1402 | typedef typename __istream_type::ios_base __ios_base; | |
| 1403 | ||
| 1404 | const typename __ios_base::fmtflags __flags = __is.flags(); | |
| 1405 | __is.flags(__ios_base::dec | __ios_base::skipws); | |
| 1406 | ||
| 1407 | _UIntType __total_size, __successful_size, __total_draws; | |
| 1408 | __is >> __total_size >> __successful_size >> __total_draws; | |
| 1409 | __x.param(typename __gnu_cxx::hypergeometric_distribution<_UIntType>:: | |
| 1410 | param_type(__total_size, __successful_size, __total_draws)); | |
| 1411 | ||
| 1412 | __is.flags(__flags); | |
| 1413 | return __is; | |
| 1414 | } | |
| 1415 | ||
| 1860430a UD |
1416 | _GLIBCXX_END_NAMESPACE_VERSION |
| 1417 | } // namespace | |
| 1418 | ||
| 1419 | ||
| 1420 | #endif // _EXT_RANDOM_TCC |