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8e79468d BK |
1 | // random number generation -*- C++ -*- |
2 | ||
8d9254fc | 3 | // Copyright (C) 2009-2020 Free Software Foundation, Inc. |
8e79468d BK |
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 | |
748086b7 | 8 | // Free Software Foundation; either version 3, or (at your option) |
8e79468d BK |
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 | ||
748086b7 JJ |
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/>. | |
8e79468d BK |
24 | |
25 | /** | |
26 | * @file bits/random.h | |
27 | * This is an internal header file, included by other library headers. | |
f910786b | 28 | * Do not attempt to use it directly. @headername{random} |
8e79468d BK |
29 | */ |
30 | ||
06f29237 PC |
31 | #ifndef _RANDOM_H |
32 | #define _RANDOM_H 1 | |
33 | ||
8e79468d | 34 | #include <vector> |
2944621e | 35 | #include <bits/uniform_int_dist.h> |
bbf0495d JW |
36 | #if __cplusplus > 201703L |
37 | # include <concepts> | |
38 | #endif | |
8e79468d | 39 | |
12ffa228 BK |
40 | namespace std _GLIBCXX_VISIBILITY(default) |
41 | { | |
42 | _GLIBCXX_BEGIN_NAMESPACE_VERSION | |
53dc5044 | 43 | |
8e79468d BK |
44 | // [26.4] Random number generation |
45 | ||
46 | /** | |
037181bc BK |
47 | * @defgroup random Random Number Generation |
48 | * @ingroup numerics | |
49 | * | |
8e79468d BK |
50 | * A facility for generating random numbers on selected distributions. |
51 | * @{ | |
52 | */ | |
53 | ||
bbf0495d JW |
54 | #ifdef __cpp_lib_concepts |
55 | /// Requirements for a uniform random bit generator. | |
56 | template<typename _Gen> | |
57 | concept uniform_random_bit_generator | |
58 | = invocable<_Gen&> && unsigned_integral<invoke_result_t<_Gen&>> | |
59 | && requires | |
60 | { | |
61 | { _Gen::min() } -> same_as<invoke_result_t<_Gen&>>; | |
62 | { _Gen::max() } -> same_as<invoke_result_t<_Gen&>>; | |
63 | }; | |
64 | #endif | |
65 | ||
8e79468d BK |
66 | /** |
67 | * @brief A function template for converting the output of a (integral) | |
68 | * uniform random number generator to a floatng point result in the range | |
69 | * [0-1). | |
70 | */ | |
71 | template<typename _RealType, size_t __bits, | |
72 | typename _UniformRandomNumberGenerator> | |
73 | _RealType | |
74 | generate_canonical(_UniformRandomNumberGenerator& __g); | |
75 | ||
8e79468d BK |
76 | /* |
77 | * Implementation-space details. | |
78 | */ | |
79 | namespace __detail | |
80 | { | |
81 | template<typename _UIntType, size_t __w, | |
95fe602e PC |
82 | bool = __w < static_cast<size_t> |
83 | (std::numeric_limits<_UIntType>::digits)> | |
8e79468d BK |
84 | struct _Shift |
85 | { static const _UIntType __value = 0; }; | |
86 | ||
87 | template<typename _UIntType, size_t __w> | |
88 | struct _Shift<_UIntType, __w, true> | |
89 | { static const _UIntType __value = _UIntType(1) << __w; }; | |
90 | ||
cf48c255 MG |
91 | template<int __s, |
92 | int __which = ((__s <= __CHAR_BIT__ * sizeof (int)) | |
93 | + (__s <= __CHAR_BIT__ * sizeof (long)) | |
94 | + (__s <= __CHAR_BIT__ * sizeof (long long)) | |
95 | /* assume long long no bigger than __int128 */ | |
96 | + (__s <= 128))> | |
97 | struct _Select_uint_least_t | |
98 | { | |
99 | static_assert(__which < 0, /* needs to be dependent */ | |
100 | "sorry, would be too much trouble for a slow result"); | |
101 | }; | |
102 | ||
103 | template<int __s> | |
104 | struct _Select_uint_least_t<__s, 4> | |
105 | { typedef unsigned int type; }; | |
106 | ||
107 | template<int __s> | |
108 | struct _Select_uint_least_t<__s, 3> | |
109 | { typedef unsigned long type; }; | |
110 | ||
111 | template<int __s> | |
112 | struct _Select_uint_least_t<__s, 2> | |
113 | { typedef unsigned long long type; }; | |
114 | ||
115 | #ifdef _GLIBCXX_USE_INT128 | |
116 | template<int __s> | |
117 | struct _Select_uint_least_t<__s, 1> | |
118 | { typedef unsigned __int128 type; }; | |
119 | #endif | |
120 | ||
121 | // Assume a != 0, a < m, c < m, x < m. | |
122 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c, | |
123 | bool __big_enough = (!(__m & (__m - 1)) | |
124 | || (_Tp(-1) - __c) / __a >= __m - 1), | |
125 | bool __schrage_ok = __m % __a < __m / __a> | |
126 | struct _Mod | |
127 | { | |
128 | typedef typename _Select_uint_least_t<std::__lg(__a) | |
129 | + std::__lg(__m) + 2>::type _Tp2; | |
130 | static _Tp | |
131 | __calc(_Tp __x) | |
132 | { return static_cast<_Tp>((_Tp2(__a) * __x + __c) % __m); } | |
133 | }; | |
134 | ||
135 | // Schrage. | |
136 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c> | |
137 | struct _Mod<_Tp, __m, __a, __c, false, true> | |
138 | { | |
139 | static _Tp | |
140 | __calc(_Tp __x); | |
141 | }; | |
142 | ||
143 | // Special cases: | |
144 | // - for m == 2^n or m == 0, unsigned integer overflow is safe. | |
145 | // - a * (m - 1) + c fits in _Tp, there is no overflow. | |
146 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c, bool __s> | |
147 | struct _Mod<_Tp, __m, __a, __c, true, __s> | |
148 | { | |
149 | static _Tp | |
150 | __calc(_Tp __x) | |
151 | { | |
152 | _Tp __res = __a * __x + __c; | |
153 | if (__m) | |
154 | __res %= __m; | |
155 | return __res; | |
156 | } | |
157 | }; | |
8e79468d | 158 | |
b94f4bef | 159 | template<typename _Tp, _Tp __m, _Tp __a = 1, _Tp __c = 0> |
8e79468d BK |
160 | inline _Tp |
161 | __mod(_Tp __x) | |
cf48c255 | 162 | { return _Mod<_Tp, __m, __a, __c>::__calc(__x); } |
8e79468d BK |
163 | |
164 | /* | |
165 | * An adaptor class for converting the output of any Generator into | |
166 | * the input for a specific Distribution. | |
167 | */ | |
168 | template<typename _Engine, typename _DInputType> | |
169 | struct _Adaptor | |
170 | { | |
1c4ff014 | 171 | static_assert(std::is_floating_point<_DInputType>::value, |
0cded43d | 172 | "template argument must be a floating point type"); |
8e79468d BK |
173 | |
174 | public: | |
175 | _Adaptor(_Engine& __g) | |
176 | : _M_g(__g) { } | |
177 | ||
178 | _DInputType | |
179 | min() const | |
9b88236b | 180 | { return _DInputType(0); } |
8e79468d BK |
181 | |
182 | _DInputType | |
183 | max() const | |
9b88236b | 184 | { return _DInputType(1); } |
8e79468d BK |
185 | |
186 | /* | |
187 | * Converts a value generated by the adapted random number generator | |
188 | * into a value in the input domain for the dependent random number | |
189 | * distribution. | |
8e79468d BK |
190 | */ |
191 | _DInputType | |
192 | operator()() | |
193 | { | |
9b88236b PC |
194 | return std::generate_canonical<_DInputType, |
195 | std::numeric_limits<_DInputType>::digits, | |
196 | _Engine>(_M_g); | |
8e79468d BK |
197 | } |
198 | ||
199 | private: | |
200 | _Engine& _M_g; | |
201 | }; | |
12ffa228 | 202 | |
5a7960da JW |
203 | template<typename _Sseq> |
204 | using __seed_seq_generate_t = decltype( | |
205 | std::declval<_Sseq&>().generate(std::declval<uint_least32_t*>(), | |
206 | std::declval<uint_least32_t*>())); | |
207 | ||
208 | // Detect whether _Sseq is a valid seed sequence for | |
209 | // a random number engine _Engine with result type _Res. | |
210 | template<typename _Sseq, typename _Engine, typename _Res, | |
211 | typename _GenerateCheck = __seed_seq_generate_t<_Sseq>> | |
212 | using __is_seed_seq = __and_< | |
213 | __not_<is_same<__remove_cvref_t<_Sseq>, _Engine>>, | |
214 | is_unsigned<typename _Sseq::result_type>, | |
215 | __not_<is_convertible<_Sseq, _Res>> | |
216 | >; | |
217 | ||
8e79468d BK |
218 | } // namespace __detail |
219 | ||
220 | /** | |
037181bc BK |
221 | * @addtogroup random_generators Random Number Generators |
222 | * @ingroup random | |
8e79468d BK |
223 | * |
224 | * These classes define objects which provide random or pseudorandom | |
225 | * numbers, either from a discrete or a continuous interval. The | |
226 | * random number generator supplied as a part of this library are | |
227 | * all uniform random number generators which provide a sequence of | |
228 | * random number uniformly distributed over their range. | |
229 | * | |
230 | * A number generator is a function object with an operator() that | |
231 | * takes zero arguments and returns a number. | |
232 | * | |
233 | * A compliant random number generator must satisfy the following | |
234 | * requirements. <table border=1 cellpadding=10 cellspacing=0> | |
235 | * <caption align=top>Random Number Generator Requirements</caption> | |
236 | * <tr><td>To be documented.</td></tr> </table> | |
237 | * | |
238 | * @{ | |
239 | */ | |
240 | ||
241 | /** | |
242 | * @brief A model of a linear congruential random number generator. | |
243 | * | |
6cc5a790 BK |
244 | * A random number generator that produces pseudorandom numbers via |
245 | * linear function: | |
246 | * @f[ | |
247 | * x_{i+1}\leftarrow(ax_{i} + c) \bmod m | |
248 | * @f] | |
8e79468d BK |
249 | * |
250 | * The template parameter @p _UIntType must be an unsigned integral type | |
251 | * large enough to store values up to (__m-1). If the template parameter | |
252 | * @p __m is 0, the modulus @p __m used is | |
253 | * std::numeric_limits<_UIntType>::max() plus 1. Otherwise, the template | |
254 | * parameters @p __a and @p __c must be less than @p __m. | |
255 | * | |
6cc5a790 | 256 | * The size of the state is @f$1@f$. |
8e79468d BK |
257 | */ |
258 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
259 | class linear_congruential_engine | |
260 | { | |
0cded43d JW |
261 | static_assert(std::is_unsigned<_UIntType>::value, |
262 | "result_type must be an unsigned integral type"); | |
77e3c516 | 263 | static_assert(__m == 0u || (__a < __m && __c < __m), |
f6d08b43 | 264 | "template argument substituting __m out of bounds"); |
8e79468d | 265 | |
5a7960da JW |
266 | template<typename _Sseq> |
267 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
268 | _Sseq, linear_congruential_engine, _UIntType>::value>::type; | |
269 | ||
8e79468d BK |
270 | public: |
271 | /** The type of the generated random value. */ | |
272 | typedef _UIntType result_type; | |
273 | ||
274 | /** The multiplier. */ | |
94a86be0 | 275 | static constexpr result_type multiplier = __a; |
8e79468d | 276 | /** An increment. */ |
94a86be0 | 277 | static constexpr result_type increment = __c; |
8e79468d | 278 | /** The modulus. */ |
94a86be0 BK |
279 | static constexpr result_type modulus = __m; |
280 | static constexpr result_type default_seed = 1u; | |
8e79468d | 281 | |
dd9db6f8 JW |
282 | /** |
283 | * @brief Constructs a %linear_congruential_engine random number | |
284 | * generator engine with seed 1. | |
285 | */ | |
286 | linear_congruential_engine() : linear_congruential_engine(default_seed) | |
287 | { } | |
288 | ||
8e79468d BK |
289 | /** |
290 | * @brief Constructs a %linear_congruential_engine random number | |
291 | * generator engine with seed @p __s. The default seed value | |
292 | * is 1. | |
293 | * | |
294 | * @param __s The initial seed value. | |
295 | */ | |
296 | explicit | |
dd9db6f8 | 297 | linear_congruential_engine(result_type __s) |
15ecdcc6 | 298 | { seed(__s); } |
8e79468d BK |
299 | |
300 | /** | |
301 | * @brief Constructs a %linear_congruential_engine random number | |
302 | * generator engine seeded from the seed sequence @p __q. | |
303 | * | |
304 | * @param __q the seed sequence. | |
305 | */ | |
5a7960da | 306 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
307 | explicit |
308 | linear_congruential_engine(_Sseq& __q) | |
05eeebfe | 309 | { seed(__q); } |
8e79468d BK |
310 | |
311 | /** | |
312 | * @brief Reseeds the %linear_congruential_engine random number generator | |
04b70271 | 313 | * engine sequence to the seed @p __s. |
8e79468d BK |
314 | * |
315 | * @param __s The new seed. | |
316 | */ | |
317 | void | |
318 | seed(result_type __s = default_seed); | |
319 | ||
320 | /** | |
321 | * @brief Reseeds the %linear_congruential_engine random number generator | |
322 | * engine | |
323 | * sequence using values from the seed sequence @p __q. | |
324 | * | |
325 | * @param __q the seed sequence. | |
326 | */ | |
05eeebfe | 327 | template<typename _Sseq> |
5a7960da | 328 | _If_seed_seq<_Sseq> |
15ecdcc6 | 329 | seed(_Sseq& __q); |
8e79468d BK |
330 | |
331 | /** | |
332 | * @brief Gets the smallest possible value in the output range. | |
333 | * | |
334 | * The minimum depends on the @p __c parameter: if it is zero, the | |
335 | * minimum generated must be > 0, otherwise 0 is allowed. | |
8e79468d | 336 | */ |
94a86be0 BK |
337 | static constexpr result_type |
338 | min() | |
96a9203b | 339 | { return __c == 0u ? 1u : 0u; } |
8e79468d BK |
340 | |
341 | /** | |
342 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 343 | */ |
94a86be0 BK |
344 | static constexpr result_type |
345 | max() | |
96a9203b | 346 | { return __m - 1u; } |
8e79468d BK |
347 | |
348 | /** | |
349 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
350 | */ |
351 | void | |
352 | discard(unsigned long long __z) | |
353 | { | |
354 | for (; __z != 0ULL; --__z) | |
355 | (*this)(); | |
356 | } | |
357 | ||
358 | /** | |
359 | * @brief Gets the next random number in the sequence. | |
360 | */ | |
361 | result_type | |
b01630bb PC |
362 | operator()() |
363 | { | |
b94f4bef | 364 | _M_x = __detail::__mod<_UIntType, __m, __a, __c>(_M_x); |
b01630bb PC |
365 | return _M_x; |
366 | } | |
8e79468d BK |
367 | |
368 | /** | |
369 | * @brief Compares two linear congruential random number generator | |
370 | * objects of the same type for equality. | |
371 | * | |
372 | * @param __lhs A linear congruential random number generator object. | |
373 | * @param __rhs Another linear congruential random number generator | |
374 | * object. | |
375 | * | |
fc05e1ba PC |
376 | * @returns true if the infinite sequences of generated values |
377 | * would be equal, false otherwise. | |
8e79468d BK |
378 | */ |
379 | friend bool | |
380 | operator==(const linear_congruential_engine& __lhs, | |
381 | const linear_congruential_engine& __rhs) | |
382 | { return __lhs._M_x == __rhs._M_x; } | |
383 | ||
384 | /** | |
385 | * @brief Writes the textual representation of the state x(i) of x to | |
386 | * @p __os. | |
387 | * | |
388 | * @param __os The output stream. | |
389 | * @param __lcr A % linear_congruential_engine random number generator. | |
390 | * @returns __os. | |
391 | */ | |
392 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 393 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 394 | friend std::basic_ostream<_CharT, _Traits>& |
93c66bc6 | 395 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 396 | const std::linear_congruential_engine<_UIntType1, |
93c66bc6 | 397 | __a1, __c1, __m1>& __lcr); |
8e79468d BK |
398 | |
399 | /** | |
400 | * @brief Sets the state of the engine by reading its textual | |
401 | * representation from @p __is. | |
402 | * | |
403 | * The textual representation must have been previously written using | |
404 | * an output stream whose imbued locale and whose type's template | |
405 | * specialization arguments _CharT and _Traits were the same as those | |
406 | * of @p __is. | |
407 | * | |
408 | * @param __is The input stream. | |
409 | * @param __lcr A % linear_congruential_engine random number generator. | |
410 | * @returns __is. | |
411 | */ | |
412 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 413 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 414 | friend std::basic_istream<_CharT, _Traits>& |
93c66bc6 | 415 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 416 | std::linear_congruential_engine<_UIntType1, __a1, |
93c66bc6 | 417 | __c1, __m1>& __lcr); |
8e79468d BK |
418 | |
419 | private: | |
8e79468d BK |
420 | _UIntType _M_x; |
421 | }; | |
422 | ||
fc05e1ba PC |
423 | /** |
424 | * @brief Compares two linear congruential random number generator | |
425 | * objects of the same type for inequality. | |
426 | * | |
427 | * @param __lhs A linear congruential random number generator object. | |
428 | * @param __rhs Another linear congruential random number generator | |
429 | * object. | |
430 | * | |
431 | * @returns true if the infinite sequences of generated values | |
432 | * would be different, false otherwise. | |
433 | */ | |
434 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
435 | inline bool | |
436 | operator!=(const std::linear_congruential_engine<_UIntType, __a, | |
437 | __c, __m>& __lhs, | |
438 | const std::linear_congruential_engine<_UIntType, __a, | |
439 | __c, __m>& __rhs) | |
440 | { return !(__lhs == __rhs); } | |
441 | ||
8e79468d BK |
442 | |
443 | /** | |
444 | * A generalized feedback shift register discrete random number generator. | |
445 | * | |
446 | * This algorithm avoids multiplication and division and is designed to be | |
447 | * friendly to a pipelined architecture. If the parameters are chosen | |
448 | * correctly, this generator will produce numbers with a very long period and | |
449 | * fairly good apparent entropy, although still not cryptographically strong. | |
450 | * | |
451 | * The best way to use this generator is with the predefined mt19937 class. | |
452 | * | |
453 | * This algorithm was originally invented by Makoto Matsumoto and | |
454 | * Takuji Nishimura. | |
455 | * | |
93c66bc6 BK |
456 | * @tparam __w Word size, the number of bits in each element of |
457 | * the state vector. | |
458 | * @tparam __n The degree of recursion. | |
459 | * @tparam __m The period parameter. | |
460 | * @tparam __r The separation point bit index. | |
461 | * @tparam __a The last row of the twist matrix. | |
462 | * @tparam __u The first right-shift tempering matrix parameter. | |
463 | * @tparam __d The first right-shift tempering matrix mask. | |
464 | * @tparam __s The first left-shift tempering matrix parameter. | |
465 | * @tparam __b The first left-shift tempering matrix mask. | |
466 | * @tparam __t The second left-shift tempering matrix parameter. | |
467 | * @tparam __c The second left-shift tempering matrix mask. | |
468 | * @tparam __l The second right-shift tempering matrix parameter. | |
469 | * @tparam __f Initialization multiplier. | |
8e79468d BK |
470 | */ |
471 | template<typename _UIntType, size_t __w, | |
472 | size_t __n, size_t __m, size_t __r, | |
473 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
474 | _UIntType __b, size_t __t, | |
475 | _UIntType __c, size_t __l, _UIntType __f> | |
476 | class mersenne_twister_engine | |
477 | { | |
0cded43d JW |
478 | static_assert(std::is_unsigned<_UIntType>::value, |
479 | "result_type must be an unsigned integral type"); | |
77e3c516 | 480 | static_assert(1u <= __m && __m <= __n, |
f6d08b43 PC |
481 | "template argument substituting __m out of bounds"); |
482 | static_assert(__r <= __w, "template argument substituting " | |
483 | "__r out of bound"); | |
484 | static_assert(__u <= __w, "template argument substituting " | |
485 | "__u out of bound"); | |
486 | static_assert(__s <= __w, "template argument substituting " | |
487 | "__s out of bound"); | |
488 | static_assert(__t <= __w, "template argument substituting " | |
489 | "__t out of bound"); | |
490 | static_assert(__l <= __w, "template argument substituting " | |
491 | "__l out of bound"); | |
77e3c516 | 492 | static_assert(__w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 493 | "template argument substituting __w out of bound"); |
6855fe45 | 494 | static_assert(__a <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 495 | "template argument substituting __a out of bound"); |
6855fe45 | 496 | static_assert(__b <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 497 | "template argument substituting __b out of bound"); |
6855fe45 | 498 | static_assert(__c <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 499 | "template argument substituting __c out of bound"); |
b94f4bef | 500 | static_assert(__d <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 501 | "template argument substituting __d out of bound"); |
b94f4bef | 502 | static_assert(__f <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 503 | "template argument substituting __f out of bound"); |
8e79468d | 504 | |
5a7960da JW |
505 | template<typename _Sseq> |
506 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
507 | _Sseq, mersenne_twister_engine, _UIntType>::value>::type; | |
508 | ||
8e79468d BK |
509 | public: |
510 | /** The type of the generated random value. */ | |
511 | typedef _UIntType result_type; | |
512 | ||
513 | // parameter values | |
94a86be0 BK |
514 | static constexpr size_t word_size = __w; |
515 | static constexpr size_t state_size = __n; | |
516 | static constexpr size_t shift_size = __m; | |
517 | static constexpr size_t mask_bits = __r; | |
518 | static constexpr result_type xor_mask = __a; | |
519 | static constexpr size_t tempering_u = __u; | |
520 | static constexpr result_type tempering_d = __d; | |
521 | static constexpr size_t tempering_s = __s; | |
522 | static constexpr result_type tempering_b = __b; | |
523 | static constexpr size_t tempering_t = __t; | |
524 | static constexpr result_type tempering_c = __c; | |
525 | static constexpr size_t tempering_l = __l; | |
526 | static constexpr result_type initialization_multiplier = __f; | |
527 | static constexpr result_type default_seed = 5489u; | |
8e79468d | 528 | |
dd9db6f8 JW |
529 | // constructors and member functions |
530 | ||
531 | mersenne_twister_engine() : mersenne_twister_engine(default_seed) { } | |
532 | ||
8e79468d | 533 | explicit |
dd9db6f8 | 534 | mersenne_twister_engine(result_type __sd) |
8e79468d BK |
535 | { seed(__sd); } |
536 | ||
537 | /** | |
538 | * @brief Constructs a %mersenne_twister_engine random number generator | |
539 | * engine seeded from the seed sequence @p __q. | |
540 | * | |
541 | * @param __q the seed sequence. | |
542 | */ | |
5a7960da | 543 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
544 | explicit |
545 | mersenne_twister_engine(_Sseq& __q) | |
05eeebfe | 546 | { seed(__q); } |
8e79468d BK |
547 | |
548 | void | |
549 | seed(result_type __sd = default_seed); | |
550 | ||
05eeebfe | 551 | template<typename _Sseq> |
5a7960da | 552 | _If_seed_seq<_Sseq> |
15ecdcc6 | 553 | seed(_Sseq& __q); |
8e79468d BK |
554 | |
555 | /** | |
556 | * @brief Gets the smallest possible value in the output range. | |
8e79468d | 557 | */ |
94a86be0 BK |
558 | static constexpr result_type |
559 | min() | |
57c51668 | 560 | { return 0; } |
8e79468d BK |
561 | |
562 | /** | |
563 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 564 | */ |
94a86be0 BK |
565 | static constexpr result_type |
566 | max() | |
6855fe45 | 567 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
568 | |
569 | /** | |
570 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
571 | */ |
572 | void | |
b668e41a | 573 | discard(unsigned long long __z); |
8e79468d BK |
574 | |
575 | result_type | |
576 | operator()(); | |
577 | ||
578 | /** | |
579 | * @brief Compares two % mersenne_twister_engine random number generator | |
580 | * objects of the same type for equality. | |
581 | * | |
582 | * @param __lhs A % mersenne_twister_engine random number generator | |
583 | * object. | |
584 | * @param __rhs Another % mersenne_twister_engine random number | |
585 | * generator object. | |
586 | * | |
fc05e1ba PC |
587 | * @returns true if the infinite sequences of generated values |
588 | * would be equal, false otherwise. | |
8e79468d BK |
589 | */ |
590 | friend bool | |
591 | operator==(const mersenne_twister_engine& __lhs, | |
592 | const mersenne_twister_engine& __rhs) | |
31645179 PC |
593 | { return (std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x) |
594 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
595 | |
596 | /** | |
597 | * @brief Inserts the current state of a % mersenne_twister_engine | |
598 | * random number generator engine @p __x into the output stream | |
599 | * @p __os. | |
600 | * | |
601 | * @param __os An output stream. | |
602 | * @param __x A % mersenne_twister_engine random number generator | |
603 | * engine. | |
604 | * | |
605 | * @returns The output stream with the state of @p __x inserted or in | |
606 | * an error state. | |
607 | */ | |
608 | template<typename _UIntType1, | |
609 | size_t __w1, size_t __n1, | |
610 | size_t __m1, size_t __r1, | |
611 | _UIntType1 __a1, size_t __u1, | |
612 | _UIntType1 __d1, size_t __s1, | |
613 | _UIntType1 __b1, size_t __t1, | |
614 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
615 | typename _CharT, typename _Traits> | |
616 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 617 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d PC |
618 | const std::mersenne_twister_engine<_UIntType1, __w1, __n1, |
619 | __m1, __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 620 | __l1, __f1>& __x); |
8e79468d BK |
621 | |
622 | /** | |
623 | * @brief Extracts the current state of a % mersenne_twister_engine | |
624 | * random number generator engine @p __x from the input stream | |
625 | * @p __is. | |
626 | * | |
627 | * @param __is An input stream. | |
628 | * @param __x A % mersenne_twister_engine random number generator | |
629 | * engine. | |
630 | * | |
631 | * @returns The input stream with the state of @p __x extracted or in | |
632 | * an error state. | |
633 | */ | |
634 | template<typename _UIntType1, | |
635 | size_t __w1, size_t __n1, | |
636 | size_t __m1, size_t __r1, | |
637 | _UIntType1 __a1, size_t __u1, | |
638 | _UIntType1 __d1, size_t __s1, | |
639 | _UIntType1 __b1, size_t __t1, | |
640 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
641 | typename _CharT, typename _Traits> | |
642 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 643 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d PC |
644 | std::mersenne_twister_engine<_UIntType1, __w1, __n1, __m1, |
645 | __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 646 | __l1, __f1>& __x); |
8e79468d BK |
647 | |
648 | private: | |
b668e41a UD |
649 | void _M_gen_rand(); |
650 | ||
8e79468d BK |
651 | _UIntType _M_x[state_size]; |
652 | size_t _M_p; | |
653 | }; | |
654 | ||
fc05e1ba PC |
655 | /** |
656 | * @brief Compares two % mersenne_twister_engine random number generator | |
657 | * objects of the same type for inequality. | |
658 | * | |
659 | * @param __lhs A % mersenne_twister_engine random number generator | |
660 | * object. | |
661 | * @param __rhs Another % mersenne_twister_engine random number | |
662 | * generator object. | |
663 | * | |
664 | * @returns true if the infinite sequences of generated values | |
665 | * would be different, false otherwise. | |
666 | */ | |
667 | template<typename _UIntType, size_t __w, | |
668 | size_t __n, size_t __m, size_t __r, | |
669 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
670 | _UIntType __b, size_t __t, | |
671 | _UIntType __c, size_t __l, _UIntType __f> | |
672 | inline bool | |
673 | operator!=(const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
674 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __lhs, | |
675 | const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
676 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __rhs) | |
677 | { return !(__lhs == __rhs); } | |
678 | ||
679 | ||
8e79468d BK |
680 | /** |
681 | * @brief The Marsaglia-Zaman generator. | |
682 | * | |
683 | * This is a model of a Generalized Fibonacci discrete random number | |
684 | * generator, sometimes referred to as the SWC generator. | |
685 | * | |
686 | * A discrete random number generator that produces pseudorandom | |
6cc5a790 BK |
687 | * numbers using: |
688 | * @f[ | |
689 | * x_{i}\leftarrow(x_{i - s} - x_{i - r} - carry_{i-1}) \bmod m | |
690 | * @f] | |
8e79468d | 691 | * |
6cc5a790 BK |
692 | * The size of the state is @f$r@f$ |
693 | * and the maximum period of the generator is @f$(m^r - m^s - 1)@f$. | |
8e79468d BK |
694 | */ |
695 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
696 | class subtract_with_carry_engine | |
697 | { | |
0cded43d JW |
698 | static_assert(std::is_unsigned<_UIntType>::value, |
699 | "result_type must be an unsigned integral type"); | |
77e3c516 | 700 | static_assert(0u < __s && __s < __r, |
0cded43d | 701 | "0 < s < r"); |
77e3c516 | 702 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 703 | "template argument substituting __w out of bounds"); |
8e79468d | 704 | |
5a7960da JW |
705 | template<typename _Sseq> |
706 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
707 | _Sseq, subtract_with_carry_engine, _UIntType>::value>::type; | |
708 | ||
8e79468d BK |
709 | public: |
710 | /** The type of the generated random value. */ | |
711 | typedef _UIntType result_type; | |
712 | ||
713 | // parameter values | |
94a86be0 BK |
714 | static constexpr size_t word_size = __w; |
715 | static constexpr size_t short_lag = __s; | |
716 | static constexpr size_t long_lag = __r; | |
717 | static constexpr result_type default_seed = 19780503u; | |
8e79468d | 718 | |
dd9db6f8 JW |
719 | subtract_with_carry_engine() : subtract_with_carry_engine(default_seed) |
720 | { } | |
721 | ||
8e79468d | 722 | /** |
dd9db6f8 | 723 | * @brief Constructs an explicitly seeded %subtract_with_carry_engine |
8e79468d BK |
724 | * random number generator. |
725 | */ | |
726 | explicit | |
dd9db6f8 | 727 | subtract_with_carry_engine(result_type __sd) |
15ecdcc6 | 728 | { seed(__sd); } |
8e79468d BK |
729 | |
730 | /** | |
731 | * @brief Constructs a %subtract_with_carry_engine random number engine | |
732 | * seeded from the seed sequence @p __q. | |
733 | * | |
734 | * @param __q the seed sequence. | |
735 | */ | |
5a7960da | 736 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
737 | explicit |
738 | subtract_with_carry_engine(_Sseq& __q) | |
05eeebfe | 739 | { seed(__q); } |
8e79468d BK |
740 | |
741 | /** | |
6cc5a790 | 742 | * @brief Seeds the initial state @f$x_0@f$ of the random number |
8e79468d BK |
743 | * generator. |
744 | * | |
745 | * N1688[4.19] modifies this as follows. If @p __value == 0, | |
746 | * sets value to 19780503. In any case, with a linear | |
747 | * congruential generator lcg(i) having parameters @f$ m_{lcg} = | |
748 | * 2147483563, a_{lcg} = 40014, c_{lcg} = 0, and lcg(0) = value | |
749 | * @f$, sets @f$ x_{-r} \dots x_{-1} @f$ to @f$ lcg(1) \bmod m | |
750 | * \dots lcg(r) \bmod m @f$ respectively. If @f$ x_{-1} = 0 @f$ | |
751 | * set carry to 1, otherwise sets carry to 0. | |
752 | */ | |
753 | void | |
754 | seed(result_type __sd = default_seed); | |
755 | ||
756 | /** | |
6cc5a790 | 757 | * @brief Seeds the initial state @f$x_0@f$ of the |
8e79468d BK |
758 | * % subtract_with_carry_engine random number generator. |
759 | */ | |
05eeebfe | 760 | template<typename _Sseq> |
5a7960da | 761 | _If_seed_seq<_Sseq> |
15ecdcc6 | 762 | seed(_Sseq& __q); |
8e79468d BK |
763 | |
764 | /** | |
765 | * @brief Gets the inclusive minimum value of the range of random | |
766 | * integers returned by this generator. | |
8e79468d | 767 | */ |
94a86be0 BK |
768 | static constexpr result_type |
769 | min() | |
8e79468d BK |
770 | { return 0; } |
771 | ||
772 | /** | |
773 | * @brief Gets the inclusive maximum value of the range of random | |
774 | * integers returned by this generator. | |
8e79468d | 775 | */ |
94a86be0 BK |
776 | static constexpr result_type |
777 | max() | |
6855fe45 | 778 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
779 | |
780 | /** | |
781 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
782 | */ |
783 | void | |
784 | discard(unsigned long long __z) | |
785 | { | |
786 | for (; __z != 0ULL; --__z) | |
787 | (*this)(); | |
788 | } | |
789 | ||
790 | /** | |
791 | * @brief Gets the next random number in the sequence. | |
792 | */ | |
793 | result_type | |
794 | operator()(); | |
795 | ||
796 | /** | |
797 | * @brief Compares two % subtract_with_carry_engine random number | |
798 | * generator objects of the same type for equality. | |
799 | * | |
800 | * @param __lhs A % subtract_with_carry_engine random number generator | |
801 | * object. | |
802 | * @param __rhs Another % subtract_with_carry_engine random number | |
803 | * generator object. | |
804 | * | |
fc05e1ba PC |
805 | * @returns true if the infinite sequences of generated values |
806 | * would be equal, false otherwise. | |
807 | */ | |
8e79468d BK |
808 | friend bool |
809 | operator==(const subtract_with_carry_engine& __lhs, | |
810 | const subtract_with_carry_engine& __rhs) | |
31645179 PC |
811 | { return (std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x) |
812 | && __lhs._M_carry == __rhs._M_carry | |
813 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
814 | |
815 | /** | |
816 | * @brief Inserts the current state of a % subtract_with_carry_engine | |
817 | * random number generator engine @p __x into the output stream | |
818 | * @p __os. | |
819 | * | |
820 | * @param __os An output stream. | |
821 | * @param __x A % subtract_with_carry_engine random number generator | |
822 | * engine. | |
823 | * | |
824 | * @returns The output stream with the state of @p __x inserted or in | |
825 | * an error state. | |
826 | */ | |
827 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
828 | typename _CharT, typename _Traits> | |
829 | friend std::basic_ostream<_CharT, _Traits>& | |
00541349 | 830 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 831 | const std::subtract_with_carry_engine<_UIntType1, __w1, |
00541349 | 832 | __s1, __r1>& __x); |
8e79468d BK |
833 | |
834 | /** | |
835 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
836 | * random number generator engine @p __x from the input stream | |
837 | * @p __is. | |
838 | * | |
839 | * @param __is An input stream. | |
15ecdcc6 PC |
840 | * @param __x A % subtract_with_carry_engine random number generator |
841 | * engine. | |
8e79468d BK |
842 | * |
843 | * @returns The input stream with the state of @p __x extracted or in | |
844 | * an error state. | |
845 | */ | |
846 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
847 | typename _CharT, typename _Traits> | |
848 | friend std::basic_istream<_CharT, _Traits>& | |
00541349 | 849 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 850 | std::subtract_with_carry_engine<_UIntType1, __w1, |
00541349 | 851 | __s1, __r1>& __x); |
8e79468d BK |
852 | |
853 | private: | |
00541349 | 854 | /// The state of the generator. This is a ring buffer. |
8e79468d | 855 | _UIntType _M_x[long_lag]; |
00541349 JW |
856 | _UIntType _M_carry; ///< The carry |
857 | size_t _M_p; ///< Current index of x(i - r). | |
8e79468d BK |
858 | }; |
859 | ||
fc05e1ba PC |
860 | /** |
861 | * @brief Compares two % subtract_with_carry_engine random number | |
862 | * generator objects of the same type for inequality. | |
863 | * | |
864 | * @param __lhs A % subtract_with_carry_engine random number generator | |
865 | * object. | |
866 | * @param __rhs Another % subtract_with_carry_engine random number | |
867 | * generator object. | |
868 | * | |
869 | * @returns true if the infinite sequences of generated values | |
870 | * would be different, false otherwise. | |
871 | */ | |
872 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
873 | inline bool | |
874 | operator!=(const std::subtract_with_carry_engine<_UIntType, __w, | |
875 | __s, __r>& __lhs, | |
876 | const std::subtract_with_carry_engine<_UIntType, __w, | |
877 | __s, __r>& __rhs) | |
878 | { return !(__lhs == __rhs); } | |
879 | ||
880 | ||
8e79468d BK |
881 | /** |
882 | * Produces random numbers from some base engine by discarding blocks of | |
883 | * data. | |
884 | * | |
885 | * 0 <= @p __r <= @p __p | |
886 | */ | |
887 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
888 | class discard_block_engine | |
889 | { | |
77e3c516 | 890 | static_assert(1 <= __r && __r <= __p, |
f6d08b43 | 891 | "template argument substituting __r out of bounds"); |
8e79468d BK |
892 | |
893 | public: | |
894 | /** The type of the generated random value. */ | |
895 | typedef typename _RandomNumberEngine::result_type result_type; | |
896 | ||
5a7960da JW |
897 | template<typename _Sseq> |
898 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
899 | _Sseq, discard_block_engine, result_type>::value>::type; | |
900 | ||
8e79468d | 901 | // parameter values |
94a86be0 BK |
902 | static constexpr size_t block_size = __p; |
903 | static constexpr size_t used_block = __r; | |
8e79468d BK |
904 | |
905 | /** | |
906 | * @brief Constructs a default %discard_block_engine engine. | |
907 | * | |
908 | * The underlying engine is default constructed as well. | |
909 | */ | |
910 | discard_block_engine() | |
911 | : _M_b(), _M_n(0) { } | |
912 | ||
913 | /** | |
914 | * @brief Copy constructs a %discard_block_engine engine. | |
915 | * | |
916 | * Copies an existing base class random number generator. | |
93c66bc6 | 917 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
918 | */ |
919 | explicit | |
93c66bc6 BK |
920 | discard_block_engine(const _RandomNumberEngine& __rng) |
921 | : _M_b(__rng), _M_n(0) { } | |
8e79468d BK |
922 | |
923 | /** | |
924 | * @brief Move constructs a %discard_block_engine engine. | |
925 | * | |
926 | * Copies an existing base class random number generator. | |
93c66bc6 | 927 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
928 | */ |
929 | explicit | |
93c66bc6 BK |
930 | discard_block_engine(_RandomNumberEngine&& __rng) |
931 | : _M_b(std::move(__rng)), _M_n(0) { } | |
8e79468d BK |
932 | |
933 | /** | |
934 | * @brief Seed constructs a %discard_block_engine engine. | |
935 | * | |
936 | * Constructs the underlying generator engine seeded with @p __s. | |
937 | * @param __s A seed value for the base class engine. | |
938 | */ | |
939 | explicit | |
940 | discard_block_engine(result_type __s) | |
941 | : _M_b(__s), _M_n(0) { } | |
942 | ||
943 | /** | |
944 | * @brief Generator construct a %discard_block_engine engine. | |
945 | * | |
946 | * @param __q A seed sequence. | |
947 | */ | |
5a7960da | 948 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
949 | explicit |
950 | discard_block_engine(_Sseq& __q) | |
951 | : _M_b(__q), _M_n(0) | |
952 | { } | |
8e79468d BK |
953 | |
954 | /** | |
955 | * @brief Reseeds the %discard_block_engine object with the default | |
956 | * seed for the underlying base class generator engine. | |
957 | */ | |
958 | void | |
959 | seed() | |
960 | { | |
961 | _M_b.seed(); | |
962 | _M_n = 0; | |
963 | } | |
964 | ||
965 | /** | |
966 | * @brief Reseeds the %discard_block_engine object with the default | |
967 | * seed for the underlying base class generator engine. | |
968 | */ | |
969 | void | |
970 | seed(result_type __s) | |
971 | { | |
972 | _M_b.seed(__s); | |
973 | _M_n = 0; | |
974 | } | |
975 | ||
976 | /** | |
977 | * @brief Reseeds the %discard_block_engine object with the given seed | |
978 | * sequence. | |
979 | * @param __q A seed generator function. | |
980 | */ | |
05eeebfe | 981 | template<typename _Sseq> |
5a7960da | 982 | _If_seed_seq<_Sseq> |
15ecdcc6 PC |
983 | seed(_Sseq& __q) |
984 | { | |
05eeebfe | 985 | _M_b.seed(__q); |
15ecdcc6 PC |
986 | _M_n = 0; |
987 | } | |
8e79468d BK |
988 | |
989 | /** | |
990 | * @brief Gets a const reference to the underlying generator engine | |
991 | * object. | |
992 | */ | |
993 | const _RandomNumberEngine& | |
18eeaec4 | 994 | base() const noexcept |
8e79468d BK |
995 | { return _M_b; } |
996 | ||
997 | /** | |
998 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 999 | */ |
94a86be0 BK |
1000 | static constexpr result_type |
1001 | min() | |
1002 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
1003 | |
1004 | /** | |
1005 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 1006 | */ |
94a86be0 BK |
1007 | static constexpr result_type |
1008 | max() | |
1009 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
1010 | |
1011 | /** | |
1012 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
1013 | */ |
1014 | void | |
1015 | discard(unsigned long long __z) | |
1016 | { | |
1017 | for (; __z != 0ULL; --__z) | |
1018 | (*this)(); | |
1019 | } | |
1020 | ||
1021 | /** | |
1022 | * @brief Gets the next value in the generated random number sequence. | |
1023 | */ | |
1024 | result_type | |
1025 | operator()(); | |
1026 | ||
1027 | /** | |
1028 | * @brief Compares two %discard_block_engine random number generator | |
1029 | * objects of the same type for equality. | |
1030 | * | |
1031 | * @param __lhs A %discard_block_engine random number generator object. | |
1032 | * @param __rhs Another %discard_block_engine random number generator | |
1033 | * object. | |
1034 | * | |
fc05e1ba PC |
1035 | * @returns true if the infinite sequences of generated values |
1036 | * would be equal, false otherwise. | |
8e79468d BK |
1037 | */ |
1038 | friend bool | |
1039 | operator==(const discard_block_engine& __lhs, | |
1040 | const discard_block_engine& __rhs) | |
fc05e1ba | 1041 | { return __lhs._M_b == __rhs._M_b && __lhs._M_n == __rhs._M_n; } |
8e79468d BK |
1042 | |
1043 | /** | |
1044 | * @brief Inserts the current state of a %discard_block_engine random | |
1045 | * number generator engine @p __x into the output stream | |
1046 | * @p __os. | |
1047 | * | |
1048 | * @param __os An output stream. | |
1049 | * @param __x A %discard_block_engine random number generator engine. | |
1050 | * | |
1051 | * @returns The output stream with the state of @p __x inserted or in | |
1052 | * an error state. | |
1053 | */ | |
1054 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1055 | typename _CharT, typename _Traits> | |
1056 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1057 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1058 | const std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1059 | __p1, __r1>& __x); |
8e79468d BK |
1060 | |
1061 | /** | |
1062 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1063 | * random number generator engine @p __x from the input stream | |
1064 | * @p __is. | |
1065 | * | |
1066 | * @param __is An input stream. | |
1067 | * @param __x A %discard_block_engine random number generator engine. | |
1068 | * | |
1069 | * @returns The input stream with the state of @p __x extracted or in | |
1070 | * an error state. | |
1071 | */ | |
1072 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1073 | typename _CharT, typename _Traits> | |
1074 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 1075 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 1076 | std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1077 | __p1, __r1>& __x); |
8e79468d BK |
1078 | |
1079 | private: | |
1080 | _RandomNumberEngine _M_b; | |
1081 | size_t _M_n; | |
1082 | }; | |
1083 | ||
fc05e1ba PC |
1084 | /** |
1085 | * @brief Compares two %discard_block_engine random number generator | |
1086 | * objects of the same type for inequality. | |
1087 | * | |
1088 | * @param __lhs A %discard_block_engine random number generator object. | |
1089 | * @param __rhs Another %discard_block_engine random number generator | |
1090 | * object. | |
1091 | * | |
1092 | * @returns true if the infinite sequences of generated values | |
1093 | * would be different, false otherwise. | |
1094 | */ | |
1095 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
1096 | inline bool | |
1097 | operator!=(const std::discard_block_engine<_RandomNumberEngine, __p, | |
1098 | __r>& __lhs, | |
1099 | const std::discard_block_engine<_RandomNumberEngine, __p, | |
1100 | __r>& __rhs) | |
1101 | { return !(__lhs == __rhs); } | |
1102 | ||
1103 | ||
8e79468d BK |
1104 | /** |
1105 | * Produces random numbers by combining random numbers from some base | |
1106 | * engine to produce random numbers with a specifies number of bits @p __w. | |
1107 | */ | |
1108 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1109 | class independent_bits_engine | |
1110 | { | |
0cded43d JW |
1111 | static_assert(std::is_unsigned<_UIntType>::value, |
1112 | "result_type must be an unsigned integral type"); | |
77e3c516 | 1113 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 1114 | "template argument substituting __w out of bounds"); |
8e79468d | 1115 | |
5a7960da JW |
1116 | template<typename _Sseq> |
1117 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
1118 | _Sseq, independent_bits_engine, _UIntType>::value>::type; | |
1119 | ||
8e79468d BK |
1120 | public: |
1121 | /** The type of the generated random value. */ | |
1122 | typedef _UIntType result_type; | |
1123 | ||
1124 | /** | |
1125 | * @brief Constructs a default %independent_bits_engine engine. | |
1126 | * | |
1127 | * The underlying engine is default constructed as well. | |
1128 | */ | |
1129 | independent_bits_engine() | |
1130 | : _M_b() { } | |
1131 | ||
1132 | /** | |
1133 | * @brief Copy constructs a %independent_bits_engine engine. | |
1134 | * | |
1135 | * Copies an existing base class random number generator. | |
93c66bc6 | 1136 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1137 | */ |
1138 | explicit | |
93c66bc6 BK |
1139 | independent_bits_engine(const _RandomNumberEngine& __rng) |
1140 | : _M_b(__rng) { } | |
8e79468d BK |
1141 | |
1142 | /** | |
1143 | * @brief Move constructs a %independent_bits_engine engine. | |
1144 | * | |
1145 | * Copies an existing base class random number generator. | |
93c66bc6 | 1146 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1147 | */ |
1148 | explicit | |
93c66bc6 BK |
1149 | independent_bits_engine(_RandomNumberEngine&& __rng) |
1150 | : _M_b(std::move(__rng)) { } | |
8e79468d BK |
1151 | |
1152 | /** | |
1153 | * @brief Seed constructs a %independent_bits_engine engine. | |
1154 | * | |
1155 | * Constructs the underlying generator engine seeded with @p __s. | |
1156 | * @param __s A seed value for the base class engine. | |
1157 | */ | |
1158 | explicit | |
1159 | independent_bits_engine(result_type __s) | |
1160 | : _M_b(__s) { } | |
1161 | ||
1162 | /** | |
1163 | * @brief Generator construct a %independent_bits_engine engine. | |
1164 | * | |
1165 | * @param __q A seed sequence. | |
1166 | */ | |
5a7960da | 1167 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
1168 | explicit |
1169 | independent_bits_engine(_Sseq& __q) | |
1170 | : _M_b(__q) | |
1171 | { } | |
8e79468d BK |
1172 | |
1173 | /** | |
1174 | * @brief Reseeds the %independent_bits_engine object with the default | |
1175 | * seed for the underlying base class generator engine. | |
1176 | */ | |
1177 | void | |
1178 | seed() | |
1179 | { _M_b.seed(); } | |
1180 | ||
1181 | /** | |
1182 | * @brief Reseeds the %independent_bits_engine object with the default | |
1183 | * seed for the underlying base class generator engine. | |
1184 | */ | |
1185 | void | |
1186 | seed(result_type __s) | |
1187 | { _M_b.seed(__s); } | |
1188 | ||
1189 | /** | |
1190 | * @brief Reseeds the %independent_bits_engine object with the given | |
1191 | * seed sequence. | |
1192 | * @param __q A seed generator function. | |
1193 | */ | |
05eeebfe | 1194 | template<typename _Sseq> |
5a7960da | 1195 | _If_seed_seq<_Sseq> |
15ecdcc6 | 1196 | seed(_Sseq& __q) |
05eeebfe | 1197 | { _M_b.seed(__q); } |
8e79468d BK |
1198 | |
1199 | /** | |
1200 | * @brief Gets a const reference to the underlying generator engine | |
1201 | * object. | |
1202 | */ | |
1203 | const _RandomNumberEngine& | |
18eeaec4 | 1204 | base() const noexcept |
8e79468d BK |
1205 | { return _M_b; } |
1206 | ||
1207 | /** | |
1208 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 1209 | */ |
94a86be0 BK |
1210 | static constexpr result_type |
1211 | min() | |
8e79468d BK |
1212 | { return 0U; } |
1213 | ||
1214 | /** | |
1215 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 1216 | */ |
94a86be0 BK |
1217 | static constexpr result_type |
1218 | max() | |
6855fe45 | 1219 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
1220 | |
1221 | /** | |
1222 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
1223 | */ |
1224 | void | |
1225 | discard(unsigned long long __z) | |
1226 | { | |
1227 | for (; __z != 0ULL; --__z) | |
1228 | (*this)(); | |
1229 | } | |
1230 | ||
1231 | /** | |
1232 | * @brief Gets the next value in the generated random number sequence. | |
1233 | */ | |
1234 | result_type | |
1235 | operator()(); | |
1236 | ||
1237 | /** | |
1238 | * @brief Compares two %independent_bits_engine random number generator | |
1239 | * objects of the same type for equality. | |
1240 | * | |
1241 | * @param __lhs A %independent_bits_engine random number generator | |
1242 | * object. | |
1243 | * @param __rhs Another %independent_bits_engine random number generator | |
1244 | * object. | |
1245 | * | |
fc05e1ba PC |
1246 | * @returns true if the infinite sequences of generated values |
1247 | * would be equal, false otherwise. | |
8e79468d BK |
1248 | */ |
1249 | friend bool | |
1250 | operator==(const independent_bits_engine& __lhs, | |
1251 | const independent_bits_engine& __rhs) | |
1252 | { return __lhs._M_b == __rhs._M_b; } | |
1253 | ||
1254 | /** | |
1255 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1256 | * random number generator engine @p __x from the input stream | |
1257 | * @p __is. | |
1258 | * | |
1259 | * @param __is An input stream. | |
1260 | * @param __x A %independent_bits_engine random number generator | |
1261 | * engine. | |
1262 | * | |
1263 | * @returns The input stream with the state of @p __x extracted or in | |
1264 | * an error state. | |
1265 | */ | |
1266 | template<typename _CharT, typename _Traits> | |
1267 | friend std::basic_istream<_CharT, _Traits>& | |
1268 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 1269 | std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1270 | __w, _UIntType>& __x) |
1271 | { | |
1272 | __is >> __x._M_b; | |
1273 | return __is; | |
1274 | } | |
1275 | ||
1276 | private: | |
1277 | _RandomNumberEngine _M_b; | |
1278 | }; | |
1279 | ||
fc05e1ba PC |
1280 | /** |
1281 | * @brief Compares two %independent_bits_engine random number generator | |
1282 | * objects of the same type for inequality. | |
1283 | * | |
1284 | * @param __lhs A %independent_bits_engine random number generator | |
1285 | * object. | |
1286 | * @param __rhs Another %independent_bits_engine random number generator | |
1287 | * object. | |
1288 | * | |
1289 | * @returns true if the infinite sequences of generated values | |
1290 | * would be different, false otherwise. | |
1291 | */ | |
1292 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1293 | inline bool | |
1294 | operator!=(const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1295 | _UIntType>& __lhs, | |
1296 | const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1297 | _UIntType>& __rhs) | |
1298 | { return !(__lhs == __rhs); } | |
1299 | ||
8e79468d BK |
1300 | /** |
1301 | * @brief Inserts the current state of a %independent_bits_engine random | |
1302 | * number generator engine @p __x into the output stream @p __os. | |
1303 | * | |
1304 | * @param __os An output stream. | |
1305 | * @param __x A %independent_bits_engine random number generator engine. | |
1306 | * | |
1307 | * @returns The output stream with the state of @p __x inserted or in | |
1308 | * an error state. | |
1309 | */ | |
1310 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType, | |
1311 | typename _CharT, typename _Traits> | |
1312 | std::basic_ostream<_CharT, _Traits>& | |
1313 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
94986f6d | 1314 | const std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1315 | __w, _UIntType>& __x) |
1316 | { | |
1317 | __os << __x.base(); | |
1318 | return __os; | |
1319 | } | |
1320 | ||
fc05e1ba | 1321 | |
8e79468d BK |
1322 | /** |
1323 | * @brief Produces random numbers by combining random numbers from some | |
1324 | * base engine to produce random numbers with a specifies number of bits | |
0cded43d | 1325 | * @p __k. |
8e79468d BK |
1326 | */ |
1327 | template<typename _RandomNumberEngine, size_t __k> | |
1328 | class shuffle_order_engine | |
1329 | { | |
a20c8540 | 1330 | static_assert(1u <= __k, "template argument substituting " |
f6d08b43 | 1331 | "__k out of bound"); |
8e79468d BK |
1332 | |
1333 | public: | |
1334 | /** The type of the generated random value. */ | |
1335 | typedef typename _RandomNumberEngine::result_type result_type; | |
1336 | ||
5a7960da JW |
1337 | template<typename _Sseq> |
1338 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
1339 | _Sseq, shuffle_order_engine, result_type>::value>::type; | |
1340 | ||
94a86be0 | 1341 | static constexpr size_t table_size = __k; |
8e79468d BK |
1342 | |
1343 | /** | |
1344 | * @brief Constructs a default %shuffle_order_engine engine. | |
1345 | * | |
1346 | * The underlying engine is default constructed as well. | |
1347 | */ | |
1348 | shuffle_order_engine() | |
1349 | : _M_b() | |
1350 | { _M_initialize(); } | |
1351 | ||
1352 | /** | |
1353 | * @brief Copy constructs a %shuffle_order_engine engine. | |
1354 | * | |
1355 | * Copies an existing base class random number generator. | |
93c66bc6 | 1356 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1357 | */ |
1358 | explicit | |
93c66bc6 BK |
1359 | shuffle_order_engine(const _RandomNumberEngine& __rng) |
1360 | : _M_b(__rng) | |
8e79468d BK |
1361 | { _M_initialize(); } |
1362 | ||
1363 | /** | |
1364 | * @brief Move constructs a %shuffle_order_engine engine. | |
1365 | * | |
1366 | * Copies an existing base class random number generator. | |
93c66bc6 | 1367 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1368 | */ |
1369 | explicit | |
93c66bc6 BK |
1370 | shuffle_order_engine(_RandomNumberEngine&& __rng) |
1371 | : _M_b(std::move(__rng)) | |
8e79468d BK |
1372 | { _M_initialize(); } |
1373 | ||
1374 | /** | |
1375 | * @brief Seed constructs a %shuffle_order_engine engine. | |
1376 | * | |
1377 | * Constructs the underlying generator engine seeded with @p __s. | |
1378 | * @param __s A seed value for the base class engine. | |
1379 | */ | |
1380 | explicit | |
1381 | shuffle_order_engine(result_type __s) | |
1382 | : _M_b(__s) | |
1383 | { _M_initialize(); } | |
1384 | ||
1385 | /** | |
1386 | * @brief Generator construct a %shuffle_order_engine engine. | |
1387 | * | |
1388 | * @param __q A seed sequence. | |
1389 | */ | |
5a7960da | 1390 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
1391 | explicit |
1392 | shuffle_order_engine(_Sseq& __q) | |
1393 | : _M_b(__q) | |
1394 | { _M_initialize(); } | |
8e79468d BK |
1395 | |
1396 | /** | |
94986f6d PC |
1397 | * @brief Reseeds the %shuffle_order_engine object with the default seed |
1398 | for the underlying base class generator engine. | |
8e79468d BK |
1399 | */ |
1400 | void | |
1401 | seed() | |
1402 | { | |
1403 | _M_b.seed(); | |
1404 | _M_initialize(); | |
1405 | } | |
1406 | ||
1407 | /** | |
1408 | * @brief Reseeds the %shuffle_order_engine object with the default seed | |
1409 | * for the underlying base class generator engine. | |
1410 | */ | |
1411 | void | |
1412 | seed(result_type __s) | |
1413 | { | |
1414 | _M_b.seed(__s); | |
1415 | _M_initialize(); | |
1416 | } | |
1417 | ||
1418 | /** | |
1419 | * @brief Reseeds the %shuffle_order_engine object with the given seed | |
1420 | * sequence. | |
1421 | * @param __q A seed generator function. | |
1422 | */ | |
05eeebfe | 1423 | template<typename _Sseq> |
5a7960da | 1424 | _If_seed_seq<_Sseq> |
15ecdcc6 PC |
1425 | seed(_Sseq& __q) |
1426 | { | |
05eeebfe | 1427 | _M_b.seed(__q); |
15ecdcc6 PC |
1428 | _M_initialize(); |
1429 | } | |
8e79468d BK |
1430 | |
1431 | /** | |
1432 | * Gets a const reference to the underlying generator engine object. | |
1433 | */ | |
1434 | const _RandomNumberEngine& | |
18eeaec4 | 1435 | base() const noexcept |
8e79468d BK |
1436 | { return _M_b; } |
1437 | ||
1438 | /** | |
1439 | * Gets the minimum value in the generated random number range. | |
8e79468d | 1440 | */ |
94a86be0 BK |
1441 | static constexpr result_type |
1442 | min() | |
1443 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
1444 | |
1445 | /** | |
1446 | * Gets the maximum value in the generated random number range. | |
8e79468d | 1447 | */ |
94a86be0 BK |
1448 | static constexpr result_type |
1449 | max() | |
1450 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
1451 | |
1452 | /** | |
1453 | * Discard a sequence of random numbers. | |
8e79468d BK |
1454 | */ |
1455 | void | |
1456 | discard(unsigned long long __z) | |
1457 | { | |
1458 | for (; __z != 0ULL; --__z) | |
1459 | (*this)(); | |
1460 | } | |
1461 | ||
1462 | /** | |
1463 | * Gets the next value in the generated random number sequence. | |
1464 | */ | |
1465 | result_type | |
1466 | operator()(); | |
1467 | ||
1468 | /** | |
1469 | * Compares two %shuffle_order_engine random number generator objects | |
1470 | * of the same type for equality. | |
1471 | * | |
1472 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1473 | * @param __rhs Another %shuffle_order_engine random number generator | |
1474 | * object. | |
1475 | * | |
fc05e1ba PC |
1476 | * @returns true if the infinite sequences of generated values |
1477 | * would be equal, false otherwise. | |
1478 | */ | |
8e79468d BK |
1479 | friend bool |
1480 | operator==(const shuffle_order_engine& __lhs, | |
1481 | const shuffle_order_engine& __rhs) | |
31645179 PC |
1482 | { return (__lhs._M_b == __rhs._M_b |
1483 | && std::equal(__lhs._M_v, __lhs._M_v + __k, __rhs._M_v) | |
1484 | && __lhs._M_y == __rhs._M_y); } | |
8e79468d BK |
1485 | |
1486 | /** | |
1487 | * @brief Inserts the current state of a %shuffle_order_engine random | |
1488 | * number generator engine @p __x into the output stream | |
1489 | @p __os. | |
1490 | * | |
1491 | * @param __os An output stream. | |
1492 | * @param __x A %shuffle_order_engine random number generator engine. | |
1493 | * | |
1494 | * @returns The output stream with the state of @p __x inserted or in | |
1495 | * an error state. | |
1496 | */ | |
1497 | template<typename _RandomNumberEngine1, size_t __k1, | |
1498 | typename _CharT, typename _Traits> | |
1499 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1500 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1501 | const std::shuffle_order_engine<_RandomNumberEngine1, |
93c66bc6 | 1502 | __k1>& __x); |
8e79468d BK |
1503 | |
1504 | /** | |
1505 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1506 | * random number generator engine @p __x from the input stream | |
1507 | * @p __is. | |
1508 | * | |
1509 | * @param __is An input stream. | |
1510 | * @param __x A %shuffle_order_engine random number generator engine. | |
1511 | * | |
1512 | * @returns The input stream with the state of @p __x extracted or in | |
1513 | * an error state. | |
1514 | */ | |
1515 | template<typename _RandomNumberEngine1, size_t __k1, | |
1516 | typename _CharT, typename _Traits> | |
1517 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
1518 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
1519 | std::shuffle_order_engine<_RandomNumberEngine1, __k1>& __x); | |
8e79468d BK |
1520 | |
1521 | private: | |
1522 | void _M_initialize() | |
1523 | { | |
1524 | for (size_t __i = 0; __i < __k; ++__i) | |
1525 | _M_v[__i] = _M_b(); | |
1526 | _M_y = _M_b(); | |
1527 | } | |
1528 | ||
1529 | _RandomNumberEngine _M_b; | |
1530 | result_type _M_v[__k]; | |
1531 | result_type _M_y; | |
1532 | }; | |
1533 | ||
fc05e1ba PC |
1534 | /** |
1535 | * Compares two %shuffle_order_engine random number generator objects | |
1536 | * of the same type for inequality. | |
1537 | * | |
1538 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1539 | * @param __rhs Another %shuffle_order_engine random number generator | |
1540 | * object. | |
1541 | * | |
1542 | * @returns true if the infinite sequences of generated values | |
1543 | * would be different, false otherwise. | |
1544 | */ | |
1545 | template<typename _RandomNumberEngine, size_t __k> | |
1546 | inline bool | |
1547 | operator!=(const std::shuffle_order_engine<_RandomNumberEngine, | |
1548 | __k>& __lhs, | |
1549 | const std::shuffle_order_engine<_RandomNumberEngine, | |
1550 | __k>& __rhs) | |
1551 | { return !(__lhs == __rhs); } | |
1552 | ||
1553 | ||
8e79468d BK |
1554 | /** |
1555 | * The classic Minimum Standard rand0 of Lewis, Goodman, and Miller. | |
1556 | */ | |
1557 | typedef linear_congruential_engine<uint_fast32_t, 16807UL, 0UL, 2147483647UL> | |
1558 | minstd_rand0; | |
1559 | ||
1560 | /** | |
6cc5a790 | 1561 | * An alternative LCR (Lehmer Generator function). |
8e79468d BK |
1562 | */ |
1563 | typedef linear_congruential_engine<uint_fast32_t, 48271UL, 0UL, 2147483647UL> | |
1564 | minstd_rand; | |
1565 | ||
1566 | /** | |
1567 | * The classic Mersenne Twister. | |
1568 | * | |
1569 | * Reference: | |
2a60a9f6 BK |
1570 | * M. Matsumoto and T. Nishimura, Mersenne Twister: A 623-Dimensionally |
1571 | * Equidistributed Uniform Pseudo-Random Number Generator, ACM Transactions | |
8e79468d BK |
1572 | * on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30. |
1573 | */ | |
1574 | typedef mersenne_twister_engine< | |
1575 | uint_fast32_t, | |
1576 | 32, 624, 397, 31, | |
1577 | 0x9908b0dfUL, 11, | |
1578 | 0xffffffffUL, 7, | |
1579 | 0x9d2c5680UL, 15, | |
1580 | 0xefc60000UL, 18, 1812433253UL> mt19937; | |
1581 | ||
1582 | /** | |
1583 | * An alternative Mersenne Twister. | |
1584 | */ | |
1585 | typedef mersenne_twister_engine< | |
1586 | uint_fast64_t, | |
1587 | 64, 312, 156, 31, | |
1588 | 0xb5026f5aa96619e9ULL, 29, | |
1589 | 0x5555555555555555ULL, 17, | |
1590 | 0x71d67fffeda60000ULL, 37, | |
1591 | 0xfff7eee000000000ULL, 43, | |
1592 | 6364136223846793005ULL> mt19937_64; | |
1593 | ||
8e79468d BK |
1594 | typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24> |
1595 | ranlux24_base; | |
1596 | ||
8e79468d BK |
1597 | typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12> |
1598 | ranlux48_base; | |
1599 | ||
b94f4bef PC |
1600 | typedef discard_block_engine<ranlux24_base, 223, 23> ranlux24; |
1601 | ||
8e79468d BK |
1602 | typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48; |
1603 | ||
8e79468d BK |
1604 | typedef shuffle_order_engine<minstd_rand0, 256> knuth_b; |
1605 | ||
8e79468d BK |
1606 | typedef minstd_rand0 default_random_engine; |
1607 | ||
1608 | /** | |
1609 | * A standard interface to a platform-specific non-deterministic | |
1610 | * random number generator (if any are available). | |
1611 | */ | |
1612 | class random_device | |
1613 | { | |
1614 | public: | |
1615 | /** The type of the generated random value. */ | |
1616 | typedef unsigned int result_type; | |
1617 | ||
1618 | // constructors, destructors and member functions | |
1619 | ||
dd9db6f8 | 1620 | random_device() { _M_init("default"); } |
8e79468d BK |
1621 | |
1622 | explicit | |
dd9db6f8 | 1623 | random_device(const std::string& __token) { _M_init(__token); } |
8e79468d | 1624 | |
b0c0d878 | 1625 | #if defined _GLIBCXX_USE_DEV_RANDOM |
8e79468d | 1626 | ~random_device() |
a8c3f4c9 | 1627 | { _M_fini(); } |
8e79468d BK |
1628 | #endif |
1629 | ||
deaf34a9 PC |
1630 | static constexpr result_type |
1631 | min() | |
8e79468d BK |
1632 | { return std::numeric_limits<result_type>::min(); } |
1633 | ||
deaf34a9 PC |
1634 | static constexpr result_type |
1635 | max() | |
8e79468d BK |
1636 | { return std::numeric_limits<result_type>::max(); } |
1637 | ||
1638 | double | |
18eeaec4 | 1639 | entropy() const noexcept |
78aa76df | 1640 | { |
5ae2c32a | 1641 | #ifdef _GLIBCXX_USE_DEV_RANDOM |
78aa76df XR |
1642 | return this->_M_getentropy(); |
1643 | #else | |
1644 | return 0.0; | |
1645 | #endif | |
1646 | } | |
8e79468d BK |
1647 | |
1648 | result_type | |
1649 | operator()() | |
b0c0d878 | 1650 | { return this->_M_getval(); } |
8e79468d BK |
1651 | |
1652 | // No copy functions. | |
1653 | random_device(const random_device&) = delete; | |
1654 | void operator=(const random_device&) = delete; | |
1655 | ||
1656 | private: | |
1657 | ||
a8c3f4c9 UD |
1658 | void _M_init(const std::string& __token); |
1659 | void _M_init_pretr1(const std::string& __token); | |
1660 | void _M_fini(); | |
1661 | ||
1662 | result_type _M_getval(); | |
1663 | result_type _M_getval_pretr1(); | |
78aa76df | 1664 | double _M_getentropy() const noexcept; |
a8c3f4c9 | 1665 | |
aeedf077 JW |
1666 | void _M_init(const char*, size_t); // not exported from the shared library |
1667 | ||
a8c3f4c9 UD |
1668 | union |
1669 | { | |
b0c0d878 JW |
1670 | struct |
1671 | { | |
1672 | void* _M_file; | |
1673 | result_type (*_M_func)(void*); | |
1674 | int _M_fd; | |
1675 | }; | |
821f6f1b PC |
1676 | mt19937 _M_mt; |
1677 | }; | |
8e79468d BK |
1678 | }; |
1679 | ||
037181bc | 1680 | /* @} */ // group random_generators |
8e79468d BK |
1681 | |
1682 | /** | |
037181bc BK |
1683 | * @addtogroup random_distributions Random Number Distributions |
1684 | * @ingroup random | |
8e79468d BK |
1685 | * @{ |
1686 | */ | |
1687 | ||
1688 | /** | |
94a86be0 | 1689 | * @addtogroup random_distributions_uniform Uniform Distributions |
037181bc | 1690 | * @ingroup random_distributions |
8e79468d BK |
1691 | * @{ |
1692 | */ | |
1693 | ||
0cded43d | 1694 | // std::uniform_int_distribution is defined in <bits/uniform_int_dist.h> |
8e79468d | 1695 | |
fc05e1ba PC |
1696 | /** |
1697 | * @brief Return true if two uniform integer distributions have | |
1698 | * different parameters. | |
1699 | */ | |
1700 | template<typename _IntType> | |
1701 | inline bool | |
1702 | operator!=(const std::uniform_int_distribution<_IntType>& __d1, | |
1703 | const std::uniform_int_distribution<_IntType>& __d2) | |
1704 | { return !(__d1 == __d2); } | |
1705 | ||
8e79468d BK |
1706 | /** |
1707 | * @brief Inserts a %uniform_int_distribution random number | |
1708 | * distribution @p __x into the output stream @p os. | |
1709 | * | |
1710 | * @param __os An output stream. | |
1711 | * @param __x A %uniform_int_distribution random number distribution. | |
1712 | * | |
1713 | * @returns The output stream with the state of @p __x inserted or in | |
1714 | * an error state. | |
1715 | */ | |
1716 | template<typename _IntType, typename _CharT, typename _Traits> | |
1717 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1718 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1719 | const std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1720 | |
1721 | /** | |
1722 | * @brief Extracts a %uniform_int_distribution random number distribution | |
1723 | * @p __x from the input stream @p __is. | |
1724 | * | |
1725 | * @param __is An input stream. | |
1726 | * @param __x A %uniform_int_distribution random number generator engine. | |
1727 | * | |
1728 | * @returns The input stream with @p __x extracted or in an error state. | |
1729 | */ | |
1730 | template<typename _IntType, typename _CharT, typename _Traits> | |
1731 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1732 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1733 | std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1734 | |
1735 | ||
1736 | /** | |
1737 | * @brief Uniform continuous distribution for random numbers. | |
1738 | * | |
1739 | * A continuous random distribution on the range [min, max) with equal | |
1740 | * probability throughout the range. The URNG should be real-valued and | |
1741 | * deliver number in the range [0, 1). | |
1742 | */ | |
1743 | template<typename _RealType = double> | |
1744 | class uniform_real_distribution | |
1745 | { | |
77e3c516 | 1746 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 1747 | "result_type must be a floating point type"); |
77e3c516 | 1748 | |
8e79468d BK |
1749 | public: |
1750 | /** The type of the range of the distribution. */ | |
1751 | typedef _RealType result_type; | |
12905f10 | 1752 | |
8e79468d BK |
1753 | /** Parameter type. */ |
1754 | struct param_type | |
1755 | { | |
1756 | typedef uniform_real_distribution<_RealType> distribution_type; | |
1757 | ||
977ac63e JW |
1758 | param_type() : param_type(0) { } |
1759 | ||
8e79468d | 1760 | explicit |
977ac63e | 1761 | param_type(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
1762 | : _M_a(__a), _M_b(__b) |
1763 | { | |
2f1e8e7c | 1764 | __glibcxx_assert(_M_a <= _M_b); |
8e79468d BK |
1765 | } |
1766 | ||
1767 | result_type | |
1768 | a() const | |
1769 | { return _M_a; } | |
1770 | ||
1771 | result_type | |
1772 | b() const | |
1773 | { return _M_b; } | |
1774 | ||
fc05e1ba PC |
1775 | friend bool |
1776 | operator==(const param_type& __p1, const param_type& __p2) | |
1777 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
1778 | ||
12905f10 JW |
1779 | friend bool |
1780 | operator!=(const param_type& __p1, const param_type& __p2) | |
1781 | { return !(__p1 == __p2); } | |
1782 | ||
8e79468d BK |
1783 | private: |
1784 | _RealType _M_a; | |
1785 | _RealType _M_b; | |
1786 | }; | |
1787 | ||
1788 | public: | |
dd9db6f8 JW |
1789 | /** |
1790 | * @brief Constructs a uniform_real_distribution object. | |
1791 | * | |
1792 | * The lower bound is set to 0.0 and the upper bound to 1.0 | |
1793 | */ | |
1794 | uniform_real_distribution() : uniform_real_distribution(0.0) { } | |
1795 | ||
8e79468d BK |
1796 | /** |
1797 | * @brief Constructs a uniform_real_distribution object. | |
1798 | * | |
93c66bc6 BK |
1799 | * @param __a [IN] The lower bound of the distribution. |
1800 | * @param __b [IN] The upper bound of the distribution. | |
8e79468d BK |
1801 | */ |
1802 | explicit | |
dd9db6f8 | 1803 | uniform_real_distribution(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
1804 | : _M_param(__a, __b) |
1805 | { } | |
1806 | ||
1807 | explicit | |
1808 | uniform_real_distribution(const param_type& __p) | |
1809 | : _M_param(__p) | |
1810 | { } | |
1811 | ||
1812 | /** | |
1813 | * @brief Resets the distribution state. | |
1814 | * | |
1815 | * Does nothing for the uniform real distribution. | |
1816 | */ | |
1817 | void | |
1818 | reset() { } | |
1819 | ||
1820 | result_type | |
1821 | a() const | |
1822 | { return _M_param.a(); } | |
1823 | ||
1824 | result_type | |
1825 | b() const | |
1826 | { return _M_param.b(); } | |
1827 | ||
247d8075 PC |
1828 | /** |
1829 | * @brief Returns the parameter set of the distribution. | |
1830 | */ | |
1831 | param_type | |
1832 | param() const | |
1833 | { return _M_param; } | |
1834 | ||
1835 | /** | |
1836 | * @brief Sets the parameter set of the distribution. | |
1837 | * @param __param The new parameter set of the distribution. | |
1838 | */ | |
1839 | void | |
1840 | param(const param_type& __param) | |
1841 | { _M_param = __param; } | |
1842 | ||
8e79468d BK |
1843 | /** |
1844 | * @brief Returns the inclusive lower bound of the distribution range. | |
1845 | */ | |
1846 | result_type | |
1847 | min() const | |
1848 | { return this->a(); } | |
1849 | ||
1850 | /** | |
1851 | * @brief Returns the inclusive upper bound of the distribution range. | |
1852 | */ | |
1853 | result_type | |
1854 | max() const | |
1855 | { return this->b(); } | |
1856 | ||
1857 | /** | |
247d8075 | 1858 | * @brief Generating functions. |
8e79468d | 1859 | */ |
8e79468d BK |
1860 | template<typename _UniformRandomNumberGenerator> |
1861 | result_type | |
1862 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 1863 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
1864 | |
1865 | template<typename _UniformRandomNumberGenerator> | |
1866 | result_type | |
1867 | operator()(_UniformRandomNumberGenerator& __urng, | |
1868 | const param_type& __p) | |
1869 | { | |
1870 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
1871 | __aurng(__urng); | |
1872 | return (__aurng() * (__p.b() - __p.a())) + __p.a(); | |
1873 | } | |
1874 | ||
7b93bdde UD |
1875 | template<typename _ForwardIterator, |
1876 | typename _UniformRandomNumberGenerator> | |
1877 | void | |
1878 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1879 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 1880 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
1881 | |
1882 | template<typename _ForwardIterator, | |
1883 | typename _UniformRandomNumberGenerator> | |
1884 | void | |
1885 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1886 | _UniformRandomNumberGenerator& __urng, | |
1887 | const param_type& __p) | |
1888 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1889 | ||
1890 | template<typename _UniformRandomNumberGenerator> | |
1891 | void | |
1892 | __generate(result_type* __f, result_type* __t, | |
1893 | _UniformRandomNumberGenerator& __urng, | |
1894 | const param_type& __p) | |
1895 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1896 | ||
5bcb3b4d PC |
1897 | /** |
1898 | * @brief Return true if two uniform real distributions have | |
1899 | * the same parameters. | |
1900 | */ | |
1901 | friend bool | |
1902 | operator==(const uniform_real_distribution& __d1, | |
1903 | const uniform_real_distribution& __d2) | |
1904 | { return __d1._M_param == __d2._M_param; } | |
1905 | ||
8e79468d | 1906 | private: |
7b93bdde UD |
1907 | template<typename _ForwardIterator, |
1908 | typename _UniformRandomNumberGenerator> | |
1909 | void | |
1910 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
1911 | _UniformRandomNumberGenerator& __urng, | |
1912 | const param_type& __p); | |
1913 | ||
8e79468d BK |
1914 | param_type _M_param; |
1915 | }; | |
1916 | ||
fc05e1ba PC |
1917 | /** |
1918 | * @brief Return true if two uniform real distributions have | |
1919 | * different parameters. | |
1920 | */ | |
1921 | template<typename _IntType> | |
1922 | inline bool | |
1923 | operator!=(const std::uniform_real_distribution<_IntType>& __d1, | |
1924 | const std::uniform_real_distribution<_IntType>& __d2) | |
1925 | { return !(__d1 == __d2); } | |
1926 | ||
8e79468d BK |
1927 | /** |
1928 | * @brief Inserts a %uniform_real_distribution random number | |
1929 | * distribution @p __x into the output stream @p __os. | |
1930 | * | |
1931 | * @param __os An output stream. | |
1932 | * @param __x A %uniform_real_distribution random number distribution. | |
1933 | * | |
1934 | * @returns The output stream with the state of @p __x inserted or in | |
1935 | * an error state. | |
1936 | */ | |
1937 | template<typename _RealType, typename _CharT, typename _Traits> | |
1938 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1939 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1940 | const std::uniform_real_distribution<_RealType>&); | |
8e79468d BK |
1941 | |
1942 | /** | |
1943 | * @brief Extracts a %uniform_real_distribution random number distribution | |
1944 | * @p __x from the input stream @p __is. | |
1945 | * | |
1946 | * @param __is An input stream. | |
1947 | * @param __x A %uniform_real_distribution random number generator engine. | |
1948 | * | |
1949 | * @returns The input stream with @p __x extracted or in an error state. | |
1950 | */ | |
1951 | template<typename _RealType, typename _CharT, typename _Traits> | |
1952 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1953 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1954 | std::uniform_real_distribution<_RealType>&); | |
8e79468d | 1955 | |
037181bc | 1956 | /* @} */ // group random_distributions_uniform |
8e79468d BK |
1957 | |
1958 | /** | |
94a86be0 | 1959 | * @addtogroup random_distributions_normal Normal Distributions |
037181bc | 1960 | * @ingroup random_distributions |
8e79468d BK |
1961 | * @{ |
1962 | */ | |
1963 | ||
1964 | /** | |
1965 | * @brief A normal continuous distribution for random numbers. | |
1966 | * | |
1967 | * The formula for the normal probability density function is | |
6cc5a790 BK |
1968 | * @f[ |
1969 | * p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}} | |
1970 | * e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } | |
1971 | * @f] | |
8e79468d BK |
1972 | */ |
1973 | template<typename _RealType = double> | |
1974 | class normal_distribution | |
1975 | { | |
77e3c516 | 1976 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 1977 | "result_type must be a floating point type"); |
77e3c516 | 1978 | |
8e79468d BK |
1979 | public: |
1980 | /** The type of the range of the distribution. */ | |
1981 | typedef _RealType result_type; | |
12905f10 | 1982 | |
8e79468d BK |
1983 | /** Parameter type. */ |
1984 | struct param_type | |
1985 | { | |
1986 | typedef normal_distribution<_RealType> distribution_type; | |
1987 | ||
977ac63e JW |
1988 | param_type() : param_type(0.0) { } |
1989 | ||
8e79468d | 1990 | explicit |
977ac63e | 1991 | param_type(_RealType __mean, _RealType __stddev = _RealType(1)) |
8e79468d BK |
1992 | : _M_mean(__mean), _M_stddev(__stddev) |
1993 | { | |
2f1e8e7c | 1994 | __glibcxx_assert(_M_stddev > _RealType(0)); |
8e79468d BK |
1995 | } |
1996 | ||
1997 | _RealType | |
1998 | mean() const | |
1999 | { return _M_mean; } | |
2000 | ||
2001 | _RealType | |
2002 | stddev() const | |
2003 | { return _M_stddev; } | |
2004 | ||
fc05e1ba PC |
2005 | friend bool |
2006 | operator==(const param_type& __p1, const param_type& __p2) | |
2007 | { return (__p1._M_mean == __p2._M_mean | |
2008 | && __p1._M_stddev == __p2._M_stddev); } | |
2009 | ||
12905f10 JW |
2010 | friend bool |
2011 | operator!=(const param_type& __p1, const param_type& __p2) | |
2012 | { return !(__p1 == __p2); } | |
2013 | ||
8e79468d BK |
2014 | private: |
2015 | _RealType _M_mean; | |
2016 | _RealType _M_stddev; | |
2017 | }; | |
2018 | ||
2019 | public: | |
dd9db6f8 JW |
2020 | normal_distribution() : normal_distribution(0.0) { } |
2021 | ||
8e79468d | 2022 | /** |
6cc5a790 | 2023 | * Constructs a normal distribution with parameters @f$mean@f$ and |
8e79468d BK |
2024 | * standard deviation. |
2025 | */ | |
2026 | explicit | |
dd9db6f8 | 2027 | normal_distribution(result_type __mean, |
8e79468d BK |
2028 | result_type __stddev = result_type(1)) |
2029 | : _M_param(__mean, __stddev), _M_saved_available(false) | |
2030 | { } | |
2031 | ||
2032 | explicit | |
2033 | normal_distribution(const param_type& __p) | |
2034 | : _M_param(__p), _M_saved_available(false) | |
2035 | { } | |
2036 | ||
2037 | /** | |
2038 | * @brief Resets the distribution state. | |
2039 | */ | |
2040 | void | |
2041 | reset() | |
2042 | { _M_saved_available = false; } | |
2043 | ||
2044 | /** | |
2045 | * @brief Returns the mean of the distribution. | |
2046 | */ | |
2047 | _RealType | |
2048 | mean() const | |
2049 | { return _M_param.mean(); } | |
2050 | ||
2051 | /** | |
2052 | * @brief Returns the standard deviation of the distribution. | |
2053 | */ | |
2054 | _RealType | |
2055 | stddev() const | |
2056 | { return _M_param.stddev(); } | |
2057 | ||
2058 | /** | |
2059 | * @brief Returns the parameter set of the distribution. | |
2060 | */ | |
2061 | param_type | |
2062 | param() const | |
2063 | { return _M_param; } | |
2064 | ||
2065 | /** | |
2066 | * @brief Sets the parameter set of the distribution. | |
2067 | * @param __param The new parameter set of the distribution. | |
2068 | */ | |
2069 | void | |
2070 | param(const param_type& __param) | |
2071 | { _M_param = __param; } | |
2072 | ||
2073 | /** | |
2074 | * @brief Returns the greatest lower bound value of the distribution. | |
2075 | */ | |
2076 | result_type | |
2077 | min() const | |
a803975d | 2078 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
2079 | |
2080 | /** | |
2081 | * @brief Returns the least upper bound value of the distribution. | |
2082 | */ | |
2083 | result_type | |
2084 | max() const | |
2085 | { return std::numeric_limits<result_type>::max(); } | |
2086 | ||
247d8075 PC |
2087 | /** |
2088 | * @brief Generating functions. | |
2089 | */ | |
8e79468d BK |
2090 | template<typename _UniformRandomNumberGenerator> |
2091 | result_type | |
2092 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2093 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2094 | |
2095 | template<typename _UniformRandomNumberGenerator> | |
2096 | result_type | |
2097 | operator()(_UniformRandomNumberGenerator& __urng, | |
2098 | const param_type& __p); | |
2099 | ||
7b93bdde UD |
2100 | template<typename _ForwardIterator, |
2101 | typename _UniformRandomNumberGenerator> | |
2102 | void | |
2103 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2104 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2105 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2106 | |
2107 | template<typename _ForwardIterator, | |
2108 | typename _UniformRandomNumberGenerator> | |
2109 | void | |
2110 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2111 | _UniformRandomNumberGenerator& __urng, | |
2112 | const param_type& __p) | |
2113 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2114 | ||
2115 | template<typename _UniformRandomNumberGenerator> | |
2116 | void | |
2117 | __generate(result_type* __f, result_type* __t, | |
2118 | _UniformRandomNumberGenerator& __urng, | |
2119 | const param_type& __p) | |
2120 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2121 | ||
fc05e1ba PC |
2122 | /** |
2123 | * @brief Return true if two normal distributions have | |
2124 | * the same parameters and the sequences that would | |
2125 | * be generated are equal. | |
2126 | */ | |
2127 | template<typename _RealType1> | |
2128 | friend bool | |
2129 | operator==(const std::normal_distribution<_RealType1>& __d1, | |
2130 | const std::normal_distribution<_RealType1>& __d2); | |
2131 | ||
8e79468d BK |
2132 | /** |
2133 | * @brief Inserts a %normal_distribution random number distribution | |
2134 | * @p __x into the output stream @p __os. | |
2135 | * | |
2136 | * @param __os An output stream. | |
2137 | * @param __x A %normal_distribution random number distribution. | |
2138 | * | |
2139 | * @returns The output stream with the state of @p __x inserted or in | |
2140 | * an error state. | |
2141 | */ | |
2142 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2143 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2144 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2145 | const std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2146 | |
2147 | /** | |
2148 | * @brief Extracts a %normal_distribution random number distribution | |
2149 | * @p __x from the input stream @p __is. | |
2150 | * | |
2151 | * @param __is An input stream. | |
2152 | * @param __x A %normal_distribution random number generator engine. | |
2153 | * | |
2154 | * @returns The input stream with @p __x extracted or in an error | |
2155 | * state. | |
2156 | */ | |
2157 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2158 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2159 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2160 | std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2161 | |
2162 | private: | |
7b93bdde UD |
2163 | template<typename _ForwardIterator, |
2164 | typename _UniformRandomNumberGenerator> | |
2165 | void | |
2166 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2167 | _UniformRandomNumberGenerator& __urng, | |
2168 | const param_type& __p); | |
2169 | ||
8e79468d BK |
2170 | param_type _M_param; |
2171 | result_type _M_saved; | |
2172 | bool _M_saved_available; | |
2173 | }; | |
2174 | ||
fc05e1ba PC |
2175 | /** |
2176 | * @brief Return true if two normal distributions are different. | |
2177 | */ | |
2178 | template<typename _RealType> | |
2179 | inline bool | |
2180 | operator!=(const std::normal_distribution<_RealType>& __d1, | |
2181 | const std::normal_distribution<_RealType>& __d2) | |
2182 | { return !(__d1 == __d2); } | |
2183 | ||
8e79468d BK |
2184 | |
2185 | /** | |
2186 | * @brief A lognormal_distribution random number distribution. | |
2187 | * | |
2188 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
2189 | * @f[ |
2190 | * p(x|m,s) = \frac{1}{sx\sqrt{2\pi}} | |
2191 | * \exp{-\frac{(\ln{x} - m)^2}{2s^2}} | |
2192 | * @f] | |
8e79468d BK |
2193 | */ |
2194 | template<typename _RealType = double> | |
2195 | class lognormal_distribution | |
2196 | { | |
77e3c516 | 2197 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2198 | "result_type must be a floating point type"); |
77e3c516 | 2199 | |
8e79468d BK |
2200 | public: |
2201 | /** The type of the range of the distribution. */ | |
2202 | typedef _RealType result_type; | |
12905f10 | 2203 | |
8e79468d BK |
2204 | /** Parameter type. */ |
2205 | struct param_type | |
2206 | { | |
2207 | typedef lognormal_distribution<_RealType> distribution_type; | |
2208 | ||
977ac63e JW |
2209 | param_type() : param_type(0.0) { } |
2210 | ||
8e79468d | 2211 | explicit |
977ac63e | 2212 | param_type(_RealType __m, _RealType __s = _RealType(1)) |
8e79468d BK |
2213 | : _M_m(__m), _M_s(__s) |
2214 | { } | |
2215 | ||
2216 | _RealType | |
2217 | m() const | |
2218 | { return _M_m; } | |
2219 | ||
2220 | _RealType | |
2221 | s() const | |
2222 | { return _M_s; } | |
2223 | ||
fc05e1ba PC |
2224 | friend bool |
2225 | operator==(const param_type& __p1, const param_type& __p2) | |
2226 | { return __p1._M_m == __p2._M_m && __p1._M_s == __p2._M_s; } | |
2227 | ||
12905f10 JW |
2228 | friend bool |
2229 | operator!=(const param_type& __p1, const param_type& __p2) | |
2230 | { return !(__p1 == __p2); } | |
2231 | ||
8e79468d BK |
2232 | private: |
2233 | _RealType _M_m; | |
2234 | _RealType _M_s; | |
2235 | }; | |
2236 | ||
dd9db6f8 JW |
2237 | lognormal_distribution() : lognormal_distribution(0.0) { } |
2238 | ||
8e79468d | 2239 | explicit |
dd9db6f8 | 2240 | lognormal_distribution(_RealType __m, _RealType __s = _RealType(1)) |
b01630bb | 2241 | : _M_param(__m, __s), _M_nd() |
8e79468d BK |
2242 | { } |
2243 | ||
2244 | explicit | |
2245 | lognormal_distribution(const param_type& __p) | |
b01630bb | 2246 | : _M_param(__p), _M_nd() |
8e79468d BK |
2247 | { } |
2248 | ||
2249 | /** | |
2250 | * Resets the distribution state. | |
2251 | */ | |
2252 | void | |
2253 | reset() | |
b01630bb | 2254 | { _M_nd.reset(); } |
8e79468d BK |
2255 | |
2256 | /** | |
2257 | * | |
2258 | */ | |
2259 | _RealType | |
2260 | m() const | |
2261 | { return _M_param.m(); } | |
2262 | ||
2263 | _RealType | |
2264 | s() const | |
2265 | { return _M_param.s(); } | |
2266 | ||
2267 | /** | |
2268 | * @brief Returns the parameter set of the distribution. | |
2269 | */ | |
2270 | param_type | |
2271 | param() const | |
2272 | { return _M_param; } | |
2273 | ||
2274 | /** | |
2275 | * @brief Sets the parameter set of the distribution. | |
2276 | * @param __param The new parameter set of the distribution. | |
2277 | */ | |
2278 | void | |
2279 | param(const param_type& __param) | |
2280 | { _M_param = __param; } | |
2281 | ||
2282 | /** | |
2283 | * @brief Returns the greatest lower bound value of the distribution. | |
2284 | */ | |
2285 | result_type | |
2286 | min() const | |
2287 | { return result_type(0); } | |
2288 | ||
2289 | /** | |
2290 | * @brief Returns the least upper bound value of the distribution. | |
2291 | */ | |
2292 | result_type | |
2293 | max() const | |
2294 | { return std::numeric_limits<result_type>::max(); } | |
2295 | ||
247d8075 PC |
2296 | /** |
2297 | * @brief Generating functions. | |
2298 | */ | |
8e79468d BK |
2299 | template<typename _UniformRandomNumberGenerator> |
2300 | result_type | |
2301 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2302 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2303 | |
2304 | template<typename _UniformRandomNumberGenerator> | |
2305 | result_type | |
2306 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb PC |
2307 | const param_type& __p) |
2308 | { return std::exp(__p.s() * _M_nd(__urng) + __p.m()); } | |
8e79468d | 2309 | |
7b93bdde UD |
2310 | template<typename _ForwardIterator, |
2311 | typename _UniformRandomNumberGenerator> | |
2312 | void | |
2313 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2314 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2315 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2316 | |
2317 | template<typename _ForwardIterator, | |
2318 | typename _UniformRandomNumberGenerator> | |
2319 | void | |
2320 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2321 | _UniformRandomNumberGenerator& __urng, | |
2322 | const param_type& __p) | |
2323 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2324 | ||
2325 | template<typename _UniformRandomNumberGenerator> | |
2326 | void | |
2327 | __generate(result_type* __f, result_type* __t, | |
2328 | _UniformRandomNumberGenerator& __urng, | |
2329 | const param_type& __p) | |
2330 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2331 | ||
fc05e1ba PC |
2332 | /** |
2333 | * @brief Return true if two lognormal distributions have | |
2334 | * the same parameters and the sequences that would | |
2335 | * be generated are equal. | |
2336 | */ | |
a30e18c1 MG |
2337 | friend bool |
2338 | operator==(const lognormal_distribution& __d1, | |
2339 | const lognormal_distribution& __d2) | |
5bcb3b4d | 2340 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 2341 | && __d1._M_nd == __d2._M_nd); } |
fc05e1ba | 2342 | |
e1923769 ESR |
2343 | /** |
2344 | * @brief Inserts a %lognormal_distribution random number distribution | |
2345 | * @p __x into the output stream @p __os. | |
2346 | * | |
2347 | * @param __os An output stream. | |
2348 | * @param __x A %lognormal_distribution random number distribution. | |
2349 | * | |
2350 | * @returns The output stream with the state of @p __x inserted or in | |
2351 | * an error state. | |
2352 | */ | |
2353 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2354 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2355 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2356 | const std::lognormal_distribution<_RealType1>& __x); | |
e1923769 ESR |
2357 | |
2358 | /** | |
2359 | * @brief Extracts a %lognormal_distribution random number distribution | |
2360 | * @p __x from the input stream @p __is. | |
2361 | * | |
2362 | * @param __is An input stream. | |
2363 | * @param __x A %lognormal_distribution random number | |
2364 | * generator engine. | |
2365 | * | |
2366 | * @returns The input stream with @p __x extracted or in an error state. | |
2367 | */ | |
2368 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2369 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2370 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2371 | std::lognormal_distribution<_RealType1>& __x); | |
e1923769 | 2372 | |
8e79468d | 2373 | private: |
7b93bdde UD |
2374 | template<typename _ForwardIterator, |
2375 | typename _UniformRandomNumberGenerator> | |
2376 | void | |
2377 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2378 | _UniformRandomNumberGenerator& __urng, | |
2379 | const param_type& __p); | |
2380 | ||
8e79468d | 2381 | param_type _M_param; |
b01630bb | 2382 | |
f9b09dec | 2383 | std::normal_distribution<result_type> _M_nd; |
8e79468d BK |
2384 | }; |
2385 | ||
fc05e1ba PC |
2386 | /** |
2387 | * @brief Return true if two lognormal distributions are different. | |
2388 | */ | |
2389 | template<typename _RealType> | |
2390 | inline bool | |
2391 | operator!=(const std::lognormal_distribution<_RealType>& __d1, | |
2392 | const std::lognormal_distribution<_RealType>& __d2) | |
2393 | { return !(__d1 == __d2); } | |
2394 | ||
2395 | ||
f9b09dec PC |
2396 | /** |
2397 | * @brief A gamma continuous distribution for random numbers. | |
2398 | * | |
6cc5a790 BK |
2399 | * The formula for the gamma probability density function is: |
2400 | * @f[ | |
2401 | * p(x|\alpha,\beta) = \frac{1}{\beta\Gamma(\alpha)} | |
2402 | * (x/\beta)^{\alpha - 1} e^{-x/\beta} | |
2403 | * @f] | |
f9b09dec PC |
2404 | */ |
2405 | template<typename _RealType = double> | |
2406 | class gamma_distribution | |
2407 | { | |
77e3c516 | 2408 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2409 | "result_type must be a floating point type"); |
77e3c516 | 2410 | |
f9b09dec PC |
2411 | public: |
2412 | /** The type of the range of the distribution. */ | |
2413 | typedef _RealType result_type; | |
12905f10 | 2414 | |
f9b09dec PC |
2415 | /** Parameter type. */ |
2416 | struct param_type | |
2417 | { | |
2418 | typedef gamma_distribution<_RealType> distribution_type; | |
2419 | friend class gamma_distribution<_RealType>; | |
2420 | ||
977ac63e JW |
2421 | param_type() : param_type(1.0) { } |
2422 | ||
f9b09dec | 2423 | explicit |
977ac63e | 2424 | param_type(_RealType __alpha_val, _RealType __beta_val = _RealType(1)) |
f9b09dec PC |
2425 | : _M_alpha(__alpha_val), _M_beta(__beta_val) |
2426 | { | |
2f1e8e7c | 2427 | __glibcxx_assert(_M_alpha > _RealType(0)); |
f9b09dec PC |
2428 | _M_initialize(); |
2429 | } | |
2430 | ||
2431 | _RealType | |
2432 | alpha() const | |
2433 | { return _M_alpha; } | |
2434 | ||
2435 | _RealType | |
2436 | beta() const | |
2437 | { return _M_beta; } | |
2438 | ||
fc05e1ba PC |
2439 | friend bool |
2440 | operator==(const param_type& __p1, const param_type& __p2) | |
2441 | { return (__p1._M_alpha == __p2._M_alpha | |
2442 | && __p1._M_beta == __p2._M_beta); } | |
2443 | ||
12905f10 JW |
2444 | friend bool |
2445 | operator!=(const param_type& __p1, const param_type& __p2) | |
2446 | { return !(__p1 == __p2); } | |
2447 | ||
f9b09dec PC |
2448 | private: |
2449 | void | |
2450 | _M_initialize(); | |
2451 | ||
2452 | _RealType _M_alpha; | |
2453 | _RealType _M_beta; | |
2454 | ||
2455 | _RealType _M_malpha, _M_a2; | |
2456 | }; | |
2457 | ||
2458 | public: | |
dd9db6f8 JW |
2459 | /** |
2460 | * @brief Constructs a gamma distribution with parameters 1 and 1. | |
2461 | */ | |
2462 | gamma_distribution() : gamma_distribution(1.0) { } | |
2463 | ||
f9b09dec PC |
2464 | /** |
2465 | * @brief Constructs a gamma distribution with parameters | |
6cc5a790 | 2466 | * @f$\alpha@f$ and @f$\beta@f$. |
f9b09dec PC |
2467 | */ |
2468 | explicit | |
dd9db6f8 | 2469 | gamma_distribution(_RealType __alpha_val, |
f9b09dec PC |
2470 | _RealType __beta_val = _RealType(1)) |
2471 | : _M_param(__alpha_val, __beta_val), _M_nd() | |
2472 | { } | |
2473 | ||
2474 | explicit | |
2475 | gamma_distribution(const param_type& __p) | |
2476 | : _M_param(__p), _M_nd() | |
2477 | { } | |
2478 | ||
2479 | /** | |
2480 | * @brief Resets the distribution state. | |
2481 | */ | |
2482 | void | |
2483 | reset() | |
2484 | { _M_nd.reset(); } | |
2485 | ||
2486 | /** | |
6cc5a790 | 2487 | * @brief Returns the @f$\alpha@f$ of the distribution. |
f9b09dec PC |
2488 | */ |
2489 | _RealType | |
2490 | alpha() const | |
2491 | { return _M_param.alpha(); } | |
2492 | ||
2493 | /** | |
6cc5a790 | 2494 | * @brief Returns the @f$\beta@f$ of the distribution. |
f9b09dec PC |
2495 | */ |
2496 | _RealType | |
2497 | beta() const | |
2498 | { return _M_param.beta(); } | |
2499 | ||
2500 | /** | |
2501 | * @brief Returns the parameter set of the distribution. | |
2502 | */ | |
2503 | param_type | |
2504 | param() const | |
2505 | { return _M_param; } | |
2506 | ||
2507 | /** | |
2508 | * @brief Sets the parameter set of the distribution. | |
2509 | * @param __param The new parameter set of the distribution. | |
2510 | */ | |
2511 | void | |
2512 | param(const param_type& __param) | |
2513 | { _M_param = __param; } | |
2514 | ||
2515 | /** | |
2516 | * @brief Returns the greatest lower bound value of the distribution. | |
2517 | */ | |
2518 | result_type | |
2519 | min() const | |
2520 | { return result_type(0); } | |
2521 | ||
2522 | /** | |
2523 | * @brief Returns the least upper bound value of the distribution. | |
2524 | */ | |
2525 | result_type | |
2526 | max() const | |
2527 | { return std::numeric_limits<result_type>::max(); } | |
2528 | ||
247d8075 PC |
2529 | /** |
2530 | * @brief Generating functions. | |
2531 | */ | |
f9b09dec PC |
2532 | template<typename _UniformRandomNumberGenerator> |
2533 | result_type | |
2534 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2535 | { return this->operator()(__urng, _M_param); } |
f9b09dec PC |
2536 | |
2537 | template<typename _UniformRandomNumberGenerator> | |
2538 | result_type | |
2539 | operator()(_UniformRandomNumberGenerator& __urng, | |
2540 | const param_type& __p); | |
2541 | ||
7b93bdde UD |
2542 | template<typename _ForwardIterator, |
2543 | typename _UniformRandomNumberGenerator> | |
2544 | void | |
2545 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2546 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2547 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2548 | |
2549 | template<typename _ForwardIterator, | |
2550 | typename _UniformRandomNumberGenerator> | |
2551 | void | |
2552 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2553 | _UniformRandomNumberGenerator& __urng, | |
2554 | const param_type& __p) | |
2555 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2556 | ||
2557 | template<typename _UniformRandomNumberGenerator> | |
2558 | void | |
2559 | __generate(result_type* __f, result_type* __t, | |
2560 | _UniformRandomNumberGenerator& __urng, | |
2561 | const param_type& __p) | |
2562 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2563 | ||
fc05e1ba PC |
2564 | /** |
2565 | * @brief Return true if two gamma distributions have the same | |
2566 | * parameters and the sequences that would be generated | |
2567 | * are equal. | |
2568 | */ | |
a30e18c1 MG |
2569 | friend bool |
2570 | operator==(const gamma_distribution& __d1, | |
2571 | const gamma_distribution& __d2) | |
5bcb3b4d | 2572 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 2573 | && __d1._M_nd == __d2._M_nd); } |
fc05e1ba | 2574 | |
e1923769 ESR |
2575 | /** |
2576 | * @brief Inserts a %gamma_distribution random number distribution | |
2577 | * @p __x into the output stream @p __os. | |
2578 | * | |
2579 | * @param __os An output stream. | |
2580 | * @param __x A %gamma_distribution random number distribution. | |
2581 | * | |
2582 | * @returns The output stream with the state of @p __x inserted or in | |
2583 | * an error state. | |
2584 | */ | |
2585 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2586 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2587 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2588 | const std::gamma_distribution<_RealType1>& __x); | |
e1923769 ESR |
2589 | |
2590 | /** | |
2591 | * @brief Extracts a %gamma_distribution random number distribution | |
2592 | * @p __x from the input stream @p __is. | |
2593 | * | |
2594 | * @param __is An input stream. | |
2595 | * @param __x A %gamma_distribution random number generator engine. | |
2596 | * | |
2597 | * @returns The input stream with @p __x extracted or in an error state. | |
2598 | */ | |
2599 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2600 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2601 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2602 | std::gamma_distribution<_RealType1>& __x); | |
e1923769 | 2603 | |
f9b09dec | 2604 | private: |
7b93bdde UD |
2605 | template<typename _ForwardIterator, |
2606 | typename _UniformRandomNumberGenerator> | |
2607 | void | |
2608 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2609 | _UniformRandomNumberGenerator& __urng, | |
2610 | const param_type& __p); | |
2611 | ||
f9b09dec PC |
2612 | param_type _M_param; |
2613 | ||
2614 | std::normal_distribution<result_type> _M_nd; | |
2615 | }; | |
2616 | ||
fc05e1ba PC |
2617 | /** |
2618 | * @brief Return true if two gamma distributions are different. | |
2619 | */ | |
2620 | template<typename _RealType> | |
a30e18c1 | 2621 | inline bool |
fc05e1ba PC |
2622 | operator!=(const std::gamma_distribution<_RealType>& __d1, |
2623 | const std::gamma_distribution<_RealType>& __d2) | |
2624 | { return !(__d1 == __d2); } | |
2625 | ||
8e79468d BK |
2626 | |
2627 | /** | |
2628 | * @brief A chi_squared_distribution random number distribution. | |
2629 | * | |
2630 | * The formula for the normal probability mass function is | |
6cc5a790 | 2631 | * @f$p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}}@f$ |
8e79468d BK |
2632 | */ |
2633 | template<typename _RealType = double> | |
2634 | class chi_squared_distribution | |
2635 | { | |
77e3c516 | 2636 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2637 | "result_type must be a floating point type"); |
77e3c516 | 2638 | |
8e79468d BK |
2639 | public: |
2640 | /** The type of the range of the distribution. */ | |
2641 | typedef _RealType result_type; | |
12905f10 | 2642 | |
8e79468d BK |
2643 | /** Parameter type. */ |
2644 | struct param_type | |
2645 | { | |
2646 | typedef chi_squared_distribution<_RealType> distribution_type; | |
2647 | ||
977ac63e JW |
2648 | param_type() : param_type(1) { } |
2649 | ||
8e79468d | 2650 | explicit |
977ac63e | 2651 | param_type(_RealType __n) |
8e79468d BK |
2652 | : _M_n(__n) |
2653 | { } | |
2654 | ||
2655 | _RealType | |
2656 | n() const | |
2657 | { return _M_n; } | |
2658 | ||
fc05e1ba PC |
2659 | friend bool |
2660 | operator==(const param_type& __p1, const param_type& __p2) | |
2661 | { return __p1._M_n == __p2._M_n; } | |
2662 | ||
12905f10 JW |
2663 | friend bool |
2664 | operator!=(const param_type& __p1, const param_type& __p2) | |
2665 | { return !(__p1 == __p2); } | |
2666 | ||
8e79468d BK |
2667 | private: |
2668 | _RealType _M_n; | |
2669 | }; | |
2670 | ||
dd9db6f8 JW |
2671 | chi_squared_distribution() : chi_squared_distribution(1) { } |
2672 | ||
8e79468d | 2673 | explicit |
dd9db6f8 | 2674 | chi_squared_distribution(_RealType __n) |
f9b09dec | 2675 | : _M_param(__n), _M_gd(__n / 2) |
8e79468d BK |
2676 | { } |
2677 | ||
2678 | explicit | |
2679 | chi_squared_distribution(const param_type& __p) | |
f9b09dec | 2680 | : _M_param(__p), _M_gd(__p.n() / 2) |
8e79468d BK |
2681 | { } |
2682 | ||
2683 | /** | |
2684 | * @brief Resets the distribution state. | |
2685 | */ | |
2686 | void | |
2687 | reset() | |
f9b09dec | 2688 | { _M_gd.reset(); } |
8e79468d BK |
2689 | |
2690 | /** | |
2691 | * | |
2692 | */ | |
2693 | _RealType | |
2694 | n() const | |
2695 | { return _M_param.n(); } | |
2696 | ||
2697 | /** | |
2698 | * @brief Returns the parameter set of the distribution. | |
2699 | */ | |
2700 | param_type | |
2701 | param() const | |
2702 | { return _M_param; } | |
2703 | ||
2704 | /** | |
2705 | * @brief Sets the parameter set of the distribution. | |
2706 | * @param __param The new parameter set of the distribution. | |
2707 | */ | |
2708 | void | |
2709 | param(const param_type& __param) | |
8b3085e7 JW |
2710 | { |
2711 | _M_param = __param; | |
2712 | typedef typename std::gamma_distribution<result_type>::param_type | |
2713 | param_type; | |
2714 | _M_gd.param(param_type{__param.n() / 2}); | |
2715 | } | |
8e79468d BK |
2716 | |
2717 | /** | |
2718 | * @brief Returns the greatest lower bound value of the distribution. | |
2719 | */ | |
2720 | result_type | |
2721 | min() const | |
2722 | { return result_type(0); } | |
2723 | ||
2724 | /** | |
2725 | * @brief Returns the least upper bound value of the distribution. | |
2726 | */ | |
2727 | result_type | |
2728 | max() const | |
2729 | { return std::numeric_limits<result_type>::max(); } | |
2730 | ||
247d8075 PC |
2731 | /** |
2732 | * @brief Generating functions. | |
2733 | */ | |
8e79468d BK |
2734 | template<typename _UniformRandomNumberGenerator> |
2735 | result_type | |
2736 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 2737 | { return 2 * _M_gd(__urng); } |
8e79468d BK |
2738 | |
2739 | template<typename _UniformRandomNumberGenerator> | |
2740 | result_type | |
2741 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
2742 | const param_type& __p) |
2743 | { | |
2744 | typedef typename std::gamma_distribution<result_type>::param_type | |
2745 | param_type; | |
2746 | return 2 * _M_gd(__urng, param_type(__p.n() / 2)); | |
2747 | } | |
8e79468d | 2748 | |
7b93bdde UD |
2749 | template<typename _ForwardIterator, |
2750 | typename _UniformRandomNumberGenerator> | |
2751 | void | |
2752 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2753 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2754 | { this->__generate_impl(__f, __t, __urng); } |
7b93bdde UD |
2755 | |
2756 | template<typename _ForwardIterator, | |
2757 | typename _UniformRandomNumberGenerator> | |
2758 | void | |
2759 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2760 | _UniformRandomNumberGenerator& __urng, | |
2761 | const param_type& __p) | |
2762 | { typename std::gamma_distribution<result_type>::param_type | |
2763 | __p2(__p.n() / 2); | |
2764 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2765 | ||
2766 | template<typename _UniformRandomNumberGenerator> | |
2767 | void | |
2768 | __generate(result_type* __f, result_type* __t, | |
2769 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2770 | { this->__generate_impl(__f, __t, __urng); } |
7b93bdde UD |
2771 | |
2772 | template<typename _UniformRandomNumberGenerator> | |
2773 | void | |
2774 | __generate(result_type* __f, result_type* __t, | |
2775 | _UniformRandomNumberGenerator& __urng, | |
2776 | const param_type& __p) | |
2777 | { typename std::gamma_distribution<result_type>::param_type | |
2778 | __p2(__p.n() / 2); | |
2779 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2780 | ||
fc05e1ba PC |
2781 | /** |
2782 | * @brief Return true if two Chi-squared distributions have | |
2783 | * the same parameters and the sequences that would be | |
2784 | * generated are equal. | |
2785 | */ | |
a30e18c1 MG |
2786 | friend bool |
2787 | operator==(const chi_squared_distribution& __d1, | |
2788 | const chi_squared_distribution& __d2) | |
5bcb3b4d | 2789 | { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; } |
fc05e1ba | 2790 | |
e1923769 ESR |
2791 | /** |
2792 | * @brief Inserts a %chi_squared_distribution random number distribution | |
2793 | * @p __x into the output stream @p __os. | |
2794 | * | |
2795 | * @param __os An output stream. | |
2796 | * @param __x A %chi_squared_distribution random number distribution. | |
2797 | * | |
2798 | * @returns The output stream with the state of @p __x inserted or in | |
2799 | * an error state. | |
2800 | */ | |
2801 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2802 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2803 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2804 | const std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 ESR |
2805 | |
2806 | /** | |
2807 | * @brief Extracts a %chi_squared_distribution random number distribution | |
2808 | * @p __x from the input stream @p __is. | |
2809 | * | |
2810 | * @param __is An input stream. | |
2811 | * @param __x A %chi_squared_distribution random number | |
2812 | * generator engine. | |
2813 | * | |
2814 | * @returns The input stream with @p __x extracted or in an error state. | |
2815 | */ | |
2816 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2817 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2818 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2819 | std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 | 2820 | |
8e79468d | 2821 | private: |
5bcb3b4d PC |
2822 | template<typename _ForwardIterator, |
2823 | typename _UniformRandomNumberGenerator> | |
2824 | void | |
2825 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2826 | _UniformRandomNumberGenerator& __urng); | |
2827 | ||
7b93bdde UD |
2828 | template<typename _ForwardIterator, |
2829 | typename _UniformRandomNumberGenerator> | |
2830 | void | |
2831 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2832 | _UniformRandomNumberGenerator& __urng, | |
5bcb3b4d PC |
2833 | const typename |
2834 | std::gamma_distribution<result_type>::param_type& __p); | |
7b93bdde | 2835 | |
8e79468d | 2836 | param_type _M_param; |
f9b09dec PC |
2837 | |
2838 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
2839 | }; |
2840 | ||
fc05e1ba PC |
2841 | /** |
2842 | * @brief Return true if two Chi-squared distributions are different. | |
2843 | */ | |
2844 | template<typename _RealType> | |
2845 | inline bool | |
2846 | operator!=(const std::chi_squared_distribution<_RealType>& __d1, | |
2847 | const std::chi_squared_distribution<_RealType>& __d2) | |
2848 | { return !(__d1 == __d2); } | |
2849 | ||
8e79468d BK |
2850 | |
2851 | /** | |
2852 | * @brief A cauchy_distribution random number distribution. | |
2853 | * | |
2854 | * The formula for the normal probability mass function is | |
6cc5a790 | 2855 | * @f$p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1}@f$ |
8e79468d BK |
2856 | */ |
2857 | template<typename _RealType = double> | |
2858 | class cauchy_distribution | |
2859 | { | |
77e3c516 | 2860 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2861 | "result_type must be a floating point type"); |
77e3c516 | 2862 | |
8e79468d BK |
2863 | public: |
2864 | /** The type of the range of the distribution. */ | |
2865 | typedef _RealType result_type; | |
12905f10 | 2866 | |
8e79468d BK |
2867 | /** Parameter type. */ |
2868 | struct param_type | |
2869 | { | |
2870 | typedef cauchy_distribution<_RealType> distribution_type; | |
2871 | ||
977ac63e JW |
2872 | param_type() : param_type(0) { } |
2873 | ||
8e79468d | 2874 | explicit |
977ac63e | 2875 | param_type(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
2876 | : _M_a(__a), _M_b(__b) |
2877 | { } | |
2878 | ||
2879 | _RealType | |
2880 | a() const | |
2881 | { return _M_a; } | |
2882 | ||
2883 | _RealType | |
2884 | b() const | |
2885 | { return _M_b; } | |
2886 | ||
fc05e1ba PC |
2887 | friend bool |
2888 | operator==(const param_type& __p1, const param_type& __p2) | |
2889 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
2890 | ||
12905f10 JW |
2891 | friend bool |
2892 | operator!=(const param_type& __p1, const param_type& __p2) | |
2893 | { return !(__p1 == __p2); } | |
2894 | ||
8e79468d BK |
2895 | private: |
2896 | _RealType _M_a; | |
2897 | _RealType _M_b; | |
2898 | }; | |
2899 | ||
dd9db6f8 JW |
2900 | cauchy_distribution() : cauchy_distribution(0.0) { } |
2901 | ||
8e79468d | 2902 | explicit |
dd9db6f8 | 2903 | cauchy_distribution(_RealType __a, _RealType __b = 1.0) |
8e79468d BK |
2904 | : _M_param(__a, __b) |
2905 | { } | |
2906 | ||
2907 | explicit | |
2908 | cauchy_distribution(const param_type& __p) | |
2909 | : _M_param(__p) | |
2910 | { } | |
2911 | ||
2912 | /** | |
2913 | * @brief Resets the distribution state. | |
2914 | */ | |
2915 | void | |
2916 | reset() | |
2917 | { } | |
2918 | ||
2919 | /** | |
2920 | * | |
2921 | */ | |
2922 | _RealType | |
2923 | a() const | |
2924 | { return _M_param.a(); } | |
2925 | ||
2926 | _RealType | |
2927 | b() const | |
2928 | { return _M_param.b(); } | |
2929 | ||
2930 | /** | |
2931 | * @brief Returns the parameter set of the distribution. | |
2932 | */ | |
2933 | param_type | |
2934 | param() const | |
2935 | { return _M_param; } | |
2936 | ||
2937 | /** | |
2938 | * @brief Sets the parameter set of the distribution. | |
2939 | * @param __param The new parameter set of the distribution. | |
2940 | */ | |
2941 | void | |
2942 | param(const param_type& __param) | |
2943 | { _M_param = __param; } | |
2944 | ||
2945 | /** | |
2946 | * @brief Returns the greatest lower bound value of the distribution. | |
2947 | */ | |
2948 | result_type | |
2949 | min() const | |
a803975d | 2950 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
2951 | |
2952 | /** | |
2953 | * @brief Returns the least upper bound value of the distribution. | |
2954 | */ | |
2955 | result_type | |
2956 | max() const | |
2957 | { return std::numeric_limits<result_type>::max(); } | |
2958 | ||
247d8075 PC |
2959 | /** |
2960 | * @brief Generating functions. | |
2961 | */ | |
8e79468d BK |
2962 | template<typename _UniformRandomNumberGenerator> |
2963 | result_type | |
2964 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2965 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2966 | |
2967 | template<typename _UniformRandomNumberGenerator> | |
2968 | result_type | |
2969 | operator()(_UniformRandomNumberGenerator& __urng, | |
2970 | const param_type& __p); | |
2971 | ||
7b93bdde UD |
2972 | template<typename _ForwardIterator, |
2973 | typename _UniformRandomNumberGenerator> | |
2974 | void | |
2975 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2976 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2977 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2978 | |
2979 | template<typename _ForwardIterator, | |
2980 | typename _UniformRandomNumberGenerator> | |
2981 | void | |
2982 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2983 | _UniformRandomNumberGenerator& __urng, | |
2984 | const param_type& __p) | |
2985 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2986 | ||
2987 | template<typename _UniformRandomNumberGenerator> | |
2988 | void | |
2989 | __generate(result_type* __f, result_type* __t, | |
2990 | _UniformRandomNumberGenerator& __urng, | |
2991 | const param_type& __p) | |
2992 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2993 | ||
5bcb3b4d PC |
2994 | /** |
2995 | * @brief Return true if two Cauchy distributions have | |
2996 | * the same parameters. | |
2997 | */ | |
2998 | friend bool | |
2999 | operator==(const cauchy_distribution& __d1, | |
3000 | const cauchy_distribution& __d2) | |
3001 | { return __d1._M_param == __d2._M_param; } | |
3002 | ||
8e79468d | 3003 | private: |
7b93bdde UD |
3004 | template<typename _ForwardIterator, |
3005 | typename _UniformRandomNumberGenerator> | |
3006 | void | |
3007 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3008 | _UniformRandomNumberGenerator& __urng, | |
3009 | const param_type& __p); | |
3010 | ||
8e79468d BK |
3011 | param_type _M_param; |
3012 | }; | |
3013 | ||
fc05e1ba PC |
3014 | /** |
3015 | * @brief Return true if two Cauchy distributions have | |
3016 | * different parameters. | |
3017 | */ | |
3018 | template<typename _RealType> | |
3019 | inline bool | |
3020 | operator!=(const std::cauchy_distribution<_RealType>& __d1, | |
3021 | const std::cauchy_distribution<_RealType>& __d2) | |
3022 | { return !(__d1 == __d2); } | |
3023 | ||
8e79468d BK |
3024 | /** |
3025 | * @brief Inserts a %cauchy_distribution random number distribution | |
3026 | * @p __x into the output stream @p __os. | |
3027 | * | |
3028 | * @param __os An output stream. | |
3029 | * @param __x A %cauchy_distribution random number distribution. | |
3030 | * | |
3031 | * @returns The output stream with the state of @p __x inserted or in | |
3032 | * an error state. | |
3033 | */ | |
3034 | template<typename _RealType, typename _CharT, typename _Traits> | |
3035 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3036 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3037 | const std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
3038 | |
3039 | /** | |
3040 | * @brief Extracts a %cauchy_distribution random number distribution | |
3041 | * @p __x from the input stream @p __is. | |
3042 | * | |
3043 | * @param __is An input stream. | |
3044 | * @param __x A %cauchy_distribution random number | |
3045 | * generator engine. | |
3046 | * | |
3047 | * @returns The input stream with @p __x extracted or in an error state. | |
3048 | */ | |
3049 | template<typename _RealType, typename _CharT, typename _Traits> | |
3050 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3051 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3052 | std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
3053 | |
3054 | ||
3055 | /** | |
3056 | * @brief A fisher_f_distribution random number distribution. | |
3057 | * | |
3058 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
3059 | * @f[ |
3060 | * p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)} | |
04b70271 | 3061 | * (\frac{m}{n})^{m/2} x^{(m/2)-1} |
6cc5a790 BK |
3062 | * (1 + \frac{mx}{n})^{-(m+n)/2} |
3063 | * @f] | |
8e79468d BK |
3064 | */ |
3065 | template<typename _RealType = double> | |
3066 | class fisher_f_distribution | |
3067 | { | |
77e3c516 | 3068 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 3069 | "result_type must be a floating point type"); |
77e3c516 | 3070 | |
8e79468d BK |
3071 | public: |
3072 | /** The type of the range of the distribution. */ | |
3073 | typedef _RealType result_type; | |
12905f10 | 3074 | |
8e79468d BK |
3075 | /** Parameter type. */ |
3076 | struct param_type | |
3077 | { | |
3078 | typedef fisher_f_distribution<_RealType> distribution_type; | |
3079 | ||
977ac63e JW |
3080 | param_type() : param_type(1) { } |
3081 | ||
8e79468d | 3082 | explicit |
977ac63e | 3083 | param_type(_RealType __m, _RealType __n = _RealType(1)) |
8e79468d BK |
3084 | : _M_m(__m), _M_n(__n) |
3085 | { } | |
3086 | ||
3087 | _RealType | |
3088 | m() const | |
3089 | { return _M_m; } | |
3090 | ||
3091 | _RealType | |
3092 | n() const | |
3093 | { return _M_n; } | |
3094 | ||
fc05e1ba PC |
3095 | friend bool |
3096 | operator==(const param_type& __p1, const param_type& __p2) | |
3097 | { return __p1._M_m == __p2._M_m && __p1._M_n == __p2._M_n; } | |
3098 | ||
12905f10 JW |
3099 | friend bool |
3100 | operator!=(const param_type& __p1, const param_type& __p2) | |
3101 | { return !(__p1 == __p2); } | |
3102 | ||
8e79468d BK |
3103 | private: |
3104 | _RealType _M_m; | |
3105 | _RealType _M_n; | |
3106 | }; | |
3107 | ||
dd9db6f8 JW |
3108 | fisher_f_distribution() : fisher_f_distribution(1.0) { } |
3109 | ||
8e79468d | 3110 | explicit |
dd9db6f8 | 3111 | fisher_f_distribution(_RealType __m, |
8e79468d | 3112 | _RealType __n = _RealType(1)) |
f9b09dec | 3113 | : _M_param(__m, __n), _M_gd_x(__m / 2), _M_gd_y(__n / 2) |
8e79468d BK |
3114 | { } |
3115 | ||
3116 | explicit | |
3117 | fisher_f_distribution(const param_type& __p) | |
f9b09dec | 3118 | : _M_param(__p), _M_gd_x(__p.m() / 2), _M_gd_y(__p.n() / 2) |
8e79468d BK |
3119 | { } |
3120 | ||
3121 | /** | |
3122 | * @brief Resets the distribution state. | |
3123 | */ | |
3124 | void | |
3125 | reset() | |
f9b09dec PC |
3126 | { |
3127 | _M_gd_x.reset(); | |
3128 | _M_gd_y.reset(); | |
3129 | } | |
8e79468d BK |
3130 | |
3131 | /** | |
3132 | * | |
3133 | */ | |
3134 | _RealType | |
3135 | m() const | |
3136 | { return _M_param.m(); } | |
3137 | ||
3138 | _RealType | |
3139 | n() const | |
3140 | { return _M_param.n(); } | |
3141 | ||
3142 | /** | |
3143 | * @brief Returns the parameter set of the distribution. | |
3144 | */ | |
3145 | param_type | |
3146 | param() const | |
3147 | { return _M_param; } | |
3148 | ||
3149 | /** | |
3150 | * @brief Sets the parameter set of the distribution. | |
3151 | * @param __param The new parameter set of the distribution. | |
3152 | */ | |
3153 | void | |
3154 | param(const param_type& __param) | |
3155 | { _M_param = __param; } | |
3156 | ||
3157 | /** | |
3158 | * @brief Returns the greatest lower bound value of the distribution. | |
3159 | */ | |
3160 | result_type | |
3161 | min() const | |
3162 | { return result_type(0); } | |
3163 | ||
3164 | /** | |
3165 | * @brief Returns the least upper bound value of the distribution. | |
3166 | */ | |
3167 | result_type | |
3168 | max() const | |
3169 | { return std::numeric_limits<result_type>::max(); } | |
3170 | ||
247d8075 PC |
3171 | /** |
3172 | * @brief Generating functions. | |
3173 | */ | |
8e79468d BK |
3174 | template<typename _UniformRandomNumberGenerator> |
3175 | result_type | |
3176 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 3177 | { return (_M_gd_x(__urng) * n()) / (_M_gd_y(__urng) * m()); } |
8e79468d BK |
3178 | |
3179 | template<typename _UniformRandomNumberGenerator> | |
3180 | result_type | |
3181 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3182 | const param_type& __p) |
3183 | { | |
3184 | typedef typename std::gamma_distribution<result_type>::param_type | |
3185 | param_type; | |
3186 | return ((_M_gd_x(__urng, param_type(__p.m() / 2)) * n()) | |
3187 | / (_M_gd_y(__urng, param_type(__p.n() / 2)) * m())); | |
3188 | } | |
8e79468d | 3189 | |
7b93bdde UD |
3190 | template<typename _ForwardIterator, |
3191 | typename _UniformRandomNumberGenerator> | |
3192 | void | |
3193 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3194 | _UniformRandomNumberGenerator& __urng) | |
3195 | { this->__generate_impl(__f, __t, __urng); } | |
3196 | ||
3197 | template<typename _ForwardIterator, | |
3198 | typename _UniformRandomNumberGenerator> | |
3199 | void | |
3200 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3201 | _UniformRandomNumberGenerator& __urng, | |
3202 | const param_type& __p) | |
3203 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3204 | ||
3205 | template<typename _UniformRandomNumberGenerator> | |
3206 | void | |
3207 | __generate(result_type* __f, result_type* __t, | |
3208 | _UniformRandomNumberGenerator& __urng) | |
3209 | { this->__generate_impl(__f, __t, __urng); } | |
3210 | ||
3211 | template<typename _UniformRandomNumberGenerator> | |
3212 | void | |
3213 | __generate(result_type* __f, result_type* __t, | |
3214 | _UniformRandomNumberGenerator& __urng, | |
3215 | const param_type& __p) | |
3216 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3217 | ||
fc05e1ba PC |
3218 | /** |
3219 | * @brief Return true if two Fisher f distributions have | |
3220 | * the same parameters and the sequences that would | |
3221 | * be generated are equal. | |
3222 | */ | |
a30e18c1 MG |
3223 | friend bool |
3224 | operator==(const fisher_f_distribution& __d1, | |
3225 | const fisher_f_distribution& __d2) | |
5bcb3b4d | 3226 | { return (__d1._M_param == __d2._M_param |
a30e18c1 MG |
3227 | && __d1._M_gd_x == __d2._M_gd_x |
3228 | && __d1._M_gd_y == __d2._M_gd_y); } | |
fc05e1ba | 3229 | |
e1923769 ESR |
3230 | /** |
3231 | * @brief Inserts a %fisher_f_distribution random number distribution | |
3232 | * @p __x into the output stream @p __os. | |
3233 | * | |
3234 | * @param __os An output stream. | |
3235 | * @param __x A %fisher_f_distribution random number distribution. | |
3236 | * | |
3237 | * @returns The output stream with the state of @p __x inserted or in | |
3238 | * an error state. | |
3239 | */ | |
3240 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3241 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3242 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3243 | const std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 ESR |
3244 | |
3245 | /** | |
3246 | * @brief Extracts a %fisher_f_distribution random number distribution | |
3247 | * @p __x from the input stream @p __is. | |
3248 | * | |
3249 | * @param __is An input stream. | |
3250 | * @param __x A %fisher_f_distribution random number | |
3251 | * generator engine. | |
3252 | * | |
3253 | * @returns The input stream with @p __x extracted or in an error state. | |
3254 | */ | |
3255 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3256 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3257 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3258 | std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 | 3259 | |
8e79468d | 3260 | private: |
7b93bdde UD |
3261 | template<typename _ForwardIterator, |
3262 | typename _UniformRandomNumberGenerator> | |
3263 | void | |
3264 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3265 | _UniformRandomNumberGenerator& __urng); | |
3266 | ||
3267 | template<typename _ForwardIterator, | |
3268 | typename _UniformRandomNumberGenerator> | |
3269 | void | |
3270 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3271 | _UniformRandomNumberGenerator& __urng, | |
3272 | const param_type& __p); | |
3273 | ||
8e79468d | 3274 | param_type _M_param; |
f9b09dec PC |
3275 | |
3276 | std::gamma_distribution<result_type> _M_gd_x, _M_gd_y; | |
8e79468d BK |
3277 | }; |
3278 | ||
fc05e1ba | 3279 | /** |
1d77bc54 | 3280 | * @brief Return true if two Fisher f distributions are different. |
fc05e1ba PC |
3281 | */ |
3282 | template<typename _RealType> | |
3283 | inline bool | |
3284 | operator!=(const std::fisher_f_distribution<_RealType>& __d1, | |
3285 | const std::fisher_f_distribution<_RealType>& __d2) | |
3286 | { return !(__d1 == __d2); } | |
8e79468d BK |
3287 | |
3288 | /** | |
3289 | * @brief A student_t_distribution random number distribution. | |
3290 | * | |
6cc5a790 BK |
3291 | * The formula for the normal probability mass function is: |
3292 | * @f[ | |
3293 | * p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)} | |
3294 | * (1 + \frac{x^2}{n}) ^{-(n+1)/2} | |
3295 | * @f] | |
8e79468d BK |
3296 | */ |
3297 | template<typename _RealType = double> | |
3298 | class student_t_distribution | |
3299 | { | |
77e3c516 | 3300 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 3301 | "result_type must be a floating point type"); |
77e3c516 | 3302 | |
8e79468d BK |
3303 | public: |
3304 | /** The type of the range of the distribution. */ | |
3305 | typedef _RealType result_type; | |
12905f10 | 3306 | |
8e79468d BK |
3307 | /** Parameter type. */ |
3308 | struct param_type | |
3309 | { | |
3310 | typedef student_t_distribution<_RealType> distribution_type; | |
3311 | ||
977ac63e JW |
3312 | param_type() : param_type(1) { } |
3313 | ||
8e79468d | 3314 | explicit |
977ac63e | 3315 | param_type(_RealType __n) |
8e79468d BK |
3316 | : _M_n(__n) |
3317 | { } | |
3318 | ||
3319 | _RealType | |
3320 | n() const | |
3321 | { return _M_n; } | |
3322 | ||
fc05e1ba PC |
3323 | friend bool |
3324 | operator==(const param_type& __p1, const param_type& __p2) | |
3325 | { return __p1._M_n == __p2._M_n; } | |
3326 | ||
12905f10 JW |
3327 | friend bool |
3328 | operator!=(const param_type& __p1, const param_type& __p2) | |
3329 | { return !(__p1 == __p2); } | |
3330 | ||
8e79468d BK |
3331 | private: |
3332 | _RealType _M_n; | |
3333 | }; | |
3334 | ||
dd9db6f8 JW |
3335 | student_t_distribution() : student_t_distribution(1.0) { } |
3336 | ||
8e79468d | 3337 | explicit |
dd9db6f8 | 3338 | student_t_distribution(_RealType __n) |
f9b09dec | 3339 | : _M_param(__n), _M_nd(), _M_gd(__n / 2, 2) |
8e79468d BK |
3340 | { } |
3341 | ||
3342 | explicit | |
3343 | student_t_distribution(const param_type& __p) | |
f9b09dec | 3344 | : _M_param(__p), _M_nd(), _M_gd(__p.n() / 2, 2) |
8e79468d BK |
3345 | { } |
3346 | ||
3347 | /** | |
3348 | * @brief Resets the distribution state. | |
3349 | */ | |
3350 | void | |
3351 | reset() | |
f9b09dec PC |
3352 | { |
3353 | _M_nd.reset(); | |
3354 | _M_gd.reset(); | |
3355 | } | |
8e79468d BK |
3356 | |
3357 | /** | |
3358 | * | |
3359 | */ | |
3360 | _RealType | |
3361 | n() const | |
3362 | { return _M_param.n(); } | |
3363 | ||
3364 | /** | |
3365 | * @brief Returns the parameter set of the distribution. | |
3366 | */ | |
3367 | param_type | |
3368 | param() const | |
3369 | { return _M_param; } | |
3370 | ||
3371 | /** | |
3372 | * @brief Sets the parameter set of the distribution. | |
3373 | * @param __param The new parameter set of the distribution. | |
3374 | */ | |
3375 | void | |
3376 | param(const param_type& __param) | |
3377 | { _M_param = __param; } | |
3378 | ||
3379 | /** | |
3380 | * @brief Returns the greatest lower bound value of the distribution. | |
3381 | */ | |
3382 | result_type | |
3383 | min() const | |
a803975d | 3384 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
3385 | |
3386 | /** | |
3387 | * @brief Returns the least upper bound value of the distribution. | |
3388 | */ | |
3389 | result_type | |
3390 | max() const | |
3391 | { return std::numeric_limits<result_type>::max(); } | |
3392 | ||
247d8075 PC |
3393 | /** |
3394 | * @brief Generating functions. | |
3395 | */ | |
8e79468d BK |
3396 | template<typename _UniformRandomNumberGenerator> |
3397 | result_type | |
f9b09dec PC |
3398 | operator()(_UniformRandomNumberGenerator& __urng) |
3399 | { return _M_nd(__urng) * std::sqrt(n() / _M_gd(__urng)); } | |
8e79468d BK |
3400 | |
3401 | template<typename _UniformRandomNumberGenerator> | |
3402 | result_type | |
3403 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3404 | const param_type& __p) |
3405 | { | |
3406 | typedef typename std::gamma_distribution<result_type>::param_type | |
3407 | param_type; | |
3408 | ||
3409 | const result_type __g = _M_gd(__urng, param_type(__p.n() / 2, 2)); | |
3410 | return _M_nd(__urng) * std::sqrt(__p.n() / __g); | |
3411 | } | |
8e79468d | 3412 | |
7b93bdde UD |
3413 | template<typename _ForwardIterator, |
3414 | typename _UniformRandomNumberGenerator> | |
3415 | void | |
3416 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3417 | _UniformRandomNumberGenerator& __urng) | |
3418 | { this->__generate_impl(__f, __t, __urng); } | |
3419 | ||
3420 | template<typename _ForwardIterator, | |
3421 | typename _UniformRandomNumberGenerator> | |
3422 | void | |
3423 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3424 | _UniformRandomNumberGenerator& __urng, | |
3425 | const param_type& __p) | |
3426 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3427 | ||
3428 | template<typename _UniformRandomNumberGenerator> | |
3429 | void | |
3430 | __generate(result_type* __f, result_type* __t, | |
3431 | _UniformRandomNumberGenerator& __urng) | |
3432 | { this->__generate_impl(__f, __t, __urng); } | |
3433 | ||
3434 | template<typename _UniformRandomNumberGenerator> | |
3435 | void | |
3436 | __generate(result_type* __f, result_type* __t, | |
3437 | _UniformRandomNumberGenerator& __urng, | |
3438 | const param_type& __p) | |
3439 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3440 | ||
fc05e1ba PC |
3441 | /** |
3442 | * @brief Return true if two Student t distributions have | |
3443 | * the same parameters and the sequences that would | |
3444 | * be generated are equal. | |
3445 | */ | |
a30e18c1 MG |
3446 | friend bool |
3447 | operator==(const student_t_distribution& __d1, | |
3448 | const student_t_distribution& __d2) | |
5bcb3b4d | 3449 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 3450 | && __d1._M_nd == __d2._M_nd && __d1._M_gd == __d2._M_gd); } |
fc05e1ba | 3451 | |
e1923769 ESR |
3452 | /** |
3453 | * @brief Inserts a %student_t_distribution random number distribution | |
3454 | * @p __x into the output stream @p __os. | |
3455 | * | |
3456 | * @param __os An output stream. | |
3457 | * @param __x A %student_t_distribution random number distribution. | |
3458 | * | |
3459 | * @returns The output stream with the state of @p __x inserted or in | |
3460 | * an error state. | |
3461 | */ | |
3462 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3463 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3464 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3465 | const std::student_t_distribution<_RealType1>& __x); | |
e1923769 ESR |
3466 | |
3467 | /** | |
3468 | * @brief Extracts a %student_t_distribution random number distribution | |
3469 | * @p __x from the input stream @p __is. | |
3470 | * | |
3471 | * @param __is An input stream. | |
3472 | * @param __x A %student_t_distribution random number | |
3473 | * generator engine. | |
3474 | * | |
3475 | * @returns The input stream with @p __x extracted or in an error state. | |
3476 | */ | |
3477 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3478 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3479 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3480 | std::student_t_distribution<_RealType1>& __x); | |
e1923769 | 3481 | |
8e79468d | 3482 | private: |
7b93bdde UD |
3483 | template<typename _ForwardIterator, |
3484 | typename _UniformRandomNumberGenerator> | |
3485 | void | |
3486 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3487 | _UniformRandomNumberGenerator& __urng); | |
3488 | template<typename _ForwardIterator, | |
3489 | typename _UniformRandomNumberGenerator> | |
3490 | void | |
3491 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3492 | _UniformRandomNumberGenerator& __urng, | |
3493 | const param_type& __p); | |
3494 | ||
8e79468d | 3495 | param_type _M_param; |
b01630bb | 3496 | |
f9b09dec PC |
3497 | std::normal_distribution<result_type> _M_nd; |
3498 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
3499 | }; |
3500 | ||
fc05e1ba PC |
3501 | /** |
3502 | * @brief Return true if two Student t distributions are different. | |
3503 | */ | |
3504 | template<typename _RealType> | |
3505 | inline bool | |
3506 | operator!=(const std::student_t_distribution<_RealType>& __d1, | |
3507 | const std::student_t_distribution<_RealType>& __d2) | |
3508 | { return !(__d1 == __d2); } | |
3509 | ||
3510 | ||
037181bc | 3511 | /* @} */ // group random_distributions_normal |
8e79468d BK |
3512 | |
3513 | /** | |
94a86be0 | 3514 | * @addtogroup random_distributions_bernoulli Bernoulli Distributions |
037181bc | 3515 | * @ingroup random_distributions |
8e79468d BK |
3516 | * @{ |
3517 | */ | |
3518 | ||
3519 | /** | |
3520 | * @brief A Bernoulli random number distribution. | |
3521 | * | |
6cc5a790 BK |
3522 | * Generates a sequence of true and false values with likelihood @f$p@f$ |
3523 | * that true will come up and @f$(1 - p)@f$ that false will appear. | |
8e79468d BK |
3524 | */ |
3525 | class bernoulli_distribution | |
3526 | { | |
3527 | public: | |
3528 | /** The type of the range of the distribution. */ | |
3529 | typedef bool result_type; | |
12905f10 | 3530 | |
8e79468d BK |
3531 | /** Parameter type. */ |
3532 | struct param_type | |
3533 | { | |
3534 | typedef bernoulli_distribution distribution_type; | |
3535 | ||
977ac63e JW |
3536 | param_type() : param_type(0.5) { } |
3537 | ||
8e79468d | 3538 | explicit |
977ac63e | 3539 | param_type(double __p) |
8e79468d BK |
3540 | : _M_p(__p) |
3541 | { | |
2f1e8e7c | 3542 | __glibcxx_assert((_M_p >= 0.0) && (_M_p <= 1.0)); |
8e79468d BK |
3543 | } |
3544 | ||
3545 | double | |
3546 | p() const | |
3547 | { return _M_p; } | |
3548 | ||
fc05e1ba PC |
3549 | friend bool |
3550 | operator==(const param_type& __p1, const param_type& __p2) | |
3551 | { return __p1._M_p == __p2._M_p; } | |
3552 | ||
12905f10 JW |
3553 | friend bool |
3554 | operator!=(const param_type& __p1, const param_type& __p2) | |
3555 | { return !(__p1 == __p2); } | |
3556 | ||
8e79468d BK |
3557 | private: |
3558 | double _M_p; | |
3559 | }; | |
3560 | ||
3561 | public: | |
dd9db6f8 JW |
3562 | /** |
3563 | * @brief Constructs a Bernoulli distribution with likelihood 0.5. | |
3564 | */ | |
3565 | bernoulli_distribution() : bernoulli_distribution(0.5) { } | |
3566 | ||
8e79468d BK |
3567 | /** |
3568 | * @brief Constructs a Bernoulli distribution with likelihood @p p. | |
3569 | * | |
3570 | * @param __p [IN] The likelihood of a true result being returned. | |
6cc5a790 | 3571 | * Must be in the interval @f$[0, 1]@f$. |
8e79468d BK |
3572 | */ |
3573 | explicit | |
dd9db6f8 | 3574 | bernoulli_distribution(double __p) |
8e79468d BK |
3575 | : _M_param(__p) |
3576 | { } | |
3577 | ||
3578 | explicit | |
3579 | bernoulli_distribution(const param_type& __p) | |
3580 | : _M_param(__p) | |
3581 | { } | |
3582 | ||
3583 | /** | |
3584 | * @brief Resets the distribution state. | |
3585 | * | |
3586 | * Does nothing for a Bernoulli distribution. | |
3587 | */ | |
3588 | void | |
3589 | reset() { } | |
3590 | ||
3591 | /** | |
3592 | * @brief Returns the @p p parameter of the distribution. | |
3593 | */ | |
3594 | double | |
3595 | p() const | |
3596 | { return _M_param.p(); } | |
3597 | ||
3598 | /** | |
3599 | * @brief Returns the parameter set of the distribution. | |
3600 | */ | |
3601 | param_type | |
3602 | param() const | |
3603 | { return _M_param; } | |
3604 | ||
3605 | /** | |
3606 | * @brief Sets the parameter set of the distribution. | |
3607 | * @param __param The new parameter set of the distribution. | |
3608 | */ | |
3609 | void | |
3610 | param(const param_type& __param) | |
3611 | { _M_param = __param; } | |
3612 | ||
3613 | /** | |
3614 | * @brief Returns the greatest lower bound value of the distribution. | |
3615 | */ | |
3616 | result_type | |
3617 | min() const | |
3618 | { return std::numeric_limits<result_type>::min(); } | |
3619 | ||
3620 | /** | |
3621 | * @brief Returns the least upper bound value of the distribution. | |
3622 | */ | |
3623 | result_type | |
3624 | max() const | |
3625 | { return std::numeric_limits<result_type>::max(); } | |
3626 | ||
3627 | /** | |
247d8075 | 3628 | * @brief Generating functions. |
8e79468d BK |
3629 | */ |
3630 | template<typename _UniformRandomNumberGenerator> | |
3631 | result_type | |
3632 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3633 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
3634 | |
3635 | template<typename _UniformRandomNumberGenerator> | |
3636 | result_type | |
3637 | operator()(_UniformRandomNumberGenerator& __urng, | |
3638 | const param_type& __p) | |
3639 | { | |
3640 | __detail::_Adaptor<_UniformRandomNumberGenerator, double> | |
3641 | __aurng(__urng); | |
3642 | if ((__aurng() - __aurng.min()) | |
3643 | < __p.p() * (__aurng.max() - __aurng.min())) | |
3644 | return true; | |
3645 | return false; | |
3646 | } | |
3647 | ||
7b93bdde UD |
3648 | template<typename _ForwardIterator, |
3649 | typename _UniformRandomNumberGenerator> | |
3650 | void | |
3651 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3652 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3653 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
3654 | |
3655 | template<typename _ForwardIterator, | |
3656 | typename _UniformRandomNumberGenerator> | |
3657 | void | |
3658 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3659 | _UniformRandomNumberGenerator& __urng, const param_type& __p) | |
3660 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3661 | ||
3662 | template<typename _UniformRandomNumberGenerator> | |
3663 | void | |
3664 | __generate(result_type* __f, result_type* __t, | |
3665 | _UniformRandomNumberGenerator& __urng, | |
3666 | const param_type& __p) | |
3667 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3668 | ||
5bcb3b4d PC |
3669 | /** |
3670 | * @brief Return true if two Bernoulli distributions have | |
3671 | * the same parameters. | |
3672 | */ | |
3673 | friend bool | |
3674 | operator==(const bernoulli_distribution& __d1, | |
3675 | const bernoulli_distribution& __d2) | |
3676 | { return __d1._M_param == __d2._M_param; } | |
3677 | ||
8e79468d | 3678 | private: |
7b93bdde UD |
3679 | template<typename _ForwardIterator, |
3680 | typename _UniformRandomNumberGenerator> | |
3681 | void | |
3682 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3683 | _UniformRandomNumberGenerator& __urng, | |
3684 | const param_type& __p); | |
3685 | ||
8e79468d BK |
3686 | param_type _M_param; |
3687 | }; | |
3688 | ||
fc05e1ba PC |
3689 | /** |
3690 | * @brief Return true if two Bernoulli distributions have | |
3691 | * different parameters. | |
3692 | */ | |
3693 | inline bool | |
3694 | operator!=(const std::bernoulli_distribution& __d1, | |
3695 | const std::bernoulli_distribution& __d2) | |
3696 | { return !(__d1 == __d2); } | |
3697 | ||
8e79468d BK |
3698 | /** |
3699 | * @brief Inserts a %bernoulli_distribution random number distribution | |
3700 | * @p __x into the output stream @p __os. | |
3701 | * | |
3702 | * @param __os An output stream. | |
3703 | * @param __x A %bernoulli_distribution random number distribution. | |
3704 | * | |
3705 | * @returns The output stream with the state of @p __x inserted or in | |
3706 | * an error state. | |
3707 | */ | |
3708 | template<typename _CharT, typename _Traits> | |
3709 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3710 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3711 | const std::bernoulli_distribution& __x); | |
8e79468d BK |
3712 | |
3713 | /** | |
3714 | * @brief Extracts a %bernoulli_distribution random number distribution | |
3715 | * @p __x from the input stream @p __is. | |
3716 | * | |
3717 | * @param __is An input stream. | |
3718 | * @param __x A %bernoulli_distribution random number generator engine. | |
3719 | * | |
3720 | * @returns The input stream with @p __x extracted or in an error state. | |
3721 | */ | |
3722 | template<typename _CharT, typename _Traits> | |
3723 | std::basic_istream<_CharT, _Traits>& | |
3724 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 3725 | std::bernoulli_distribution& __x) |
8e79468d BK |
3726 | { |
3727 | double __p; | |
3728 | __is >> __p; | |
3729 | __x.param(bernoulli_distribution::param_type(__p)); | |
3730 | return __is; | |
3731 | } | |
3732 | ||
3733 | ||
3734 | /** | |
3735 | * @brief A discrete binomial random number distribution. | |
3736 | * | |
3737 | * The formula for the binomial probability density function is | |
9ea146e6 | 3738 | * @f$p(i|t,p) = \binom{t}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
6cc5a790 | 3739 | * and @f$p@f$ are the parameters of the distribution. |
8e79468d BK |
3740 | */ |
3741 | template<typename _IntType = int> | |
3742 | class binomial_distribution | |
3743 | { | |
77e3c516 | 3744 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 3745 | "result_type must be an integral type"); |
8e79468d BK |
3746 | |
3747 | public: | |
3748 | /** The type of the range of the distribution. */ | |
3749 | typedef _IntType result_type; | |
12905f10 | 3750 | |
8e79468d BK |
3751 | /** Parameter type. */ |
3752 | struct param_type | |
3753 | { | |
3754 | typedef binomial_distribution<_IntType> distribution_type; | |
3755 | friend class binomial_distribution<_IntType>; | |
3756 | ||
977ac63e JW |
3757 | param_type() : param_type(1) { } |
3758 | ||
8e79468d | 3759 | explicit |
977ac63e | 3760 | param_type(_IntType __t, double __p = 0.5) |
8e79468d BK |
3761 | : _M_t(__t), _M_p(__p) |
3762 | { | |
2f1e8e7c | 3763 | __glibcxx_assert((_M_t >= _IntType(0)) |
94986f6d PC |
3764 | && (_M_p >= 0.0) |
3765 | && (_M_p <= 1.0)); | |
8e79468d BK |
3766 | _M_initialize(); |
3767 | } | |
3768 | ||
3769 | _IntType | |
3770 | t() const | |
3771 | { return _M_t; } | |
3772 | ||
3773 | double | |
3774 | p() const | |
3775 | { return _M_p; } | |
3776 | ||
fc05e1ba PC |
3777 | friend bool |
3778 | operator==(const param_type& __p1, const param_type& __p2) | |
3779 | { return __p1._M_t == __p2._M_t && __p1._M_p == __p2._M_p; } | |
3780 | ||
12905f10 JW |
3781 | friend bool |
3782 | operator!=(const param_type& __p1, const param_type& __p2) | |
3783 | { return !(__p1 == __p2); } | |
3784 | ||
8e79468d BK |
3785 | private: |
3786 | void | |
3787 | _M_initialize(); | |
3788 | ||
3789 | _IntType _M_t; | |
3790 | double _M_p; | |
3791 | ||
3792 | double _M_q; | |
3793 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
3794 | double _M_d1, _M_d2, _M_s1, _M_s2, _M_c, | |
3795 | _M_a1, _M_a123, _M_s, _M_lf, _M_lp1p; | |
3796 | #endif | |
3797 | bool _M_easy; | |
3798 | }; | |
3799 | ||
dd9db6f8 JW |
3800 | // constructors and member functions |
3801 | ||
3802 | binomial_distribution() : binomial_distribution(1) { } | |
3803 | ||
8e79468d | 3804 | explicit |
dd9db6f8 | 3805 | binomial_distribution(_IntType __t, double __p = 0.5) |
8e79468d BK |
3806 | : _M_param(__t, __p), _M_nd() |
3807 | { } | |
3808 | ||
3809 | explicit | |
3810 | binomial_distribution(const param_type& __p) | |
3811 | : _M_param(__p), _M_nd() | |
3812 | { } | |
3813 | ||
3814 | /** | |
3815 | * @brief Resets the distribution state. | |
3816 | */ | |
3817 | void | |
3818 | reset() | |
3819 | { _M_nd.reset(); } | |
3820 | ||
3821 | /** | |
3822 | * @brief Returns the distribution @p t parameter. | |
3823 | */ | |
3824 | _IntType | |
3825 | t() const | |
3826 | { return _M_param.t(); } | |
3827 | ||
3828 | /** | |
3829 | * @brief Returns the distribution @p p parameter. | |
3830 | */ | |
3831 | double | |
3832 | p() const | |
3833 | { return _M_param.p(); } | |
3834 | ||
3835 | /** | |
3836 | * @brief Returns the parameter set of the distribution. | |
3837 | */ | |
3838 | param_type | |
3839 | param() const | |
3840 | { return _M_param; } | |
3841 | ||
3842 | /** | |
3843 | * @brief Sets the parameter set of the distribution. | |
3844 | * @param __param The new parameter set of the distribution. | |
3845 | */ | |
3846 | void | |
3847 | param(const param_type& __param) | |
3848 | { _M_param = __param; } | |
3849 | ||
3850 | /** | |
3851 | * @brief Returns the greatest lower bound value of the distribution. | |
3852 | */ | |
3853 | result_type | |
3854 | min() const | |
3855 | { return 0; } | |
3856 | ||
3857 | /** | |
3858 | * @brief Returns the least upper bound value of the distribution. | |
3859 | */ | |
3860 | result_type | |
3861 | max() const | |
3862 | { return _M_param.t(); } | |
3863 | ||
247d8075 PC |
3864 | /** |
3865 | * @brief Generating functions. | |
3866 | */ | |
3867 | template<typename _UniformRandomNumberGenerator> | |
3868 | result_type | |
3869 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3870 | { return this->operator()(__urng, _M_param); } |
247d8075 PC |
3871 | |
3872 | template<typename _UniformRandomNumberGenerator> | |
3873 | result_type | |
3874 | operator()(_UniformRandomNumberGenerator& __urng, | |
3875 | const param_type& __p); | |
3876 | ||
7b93bdde UD |
3877 | template<typename _ForwardIterator, |
3878 | typename _UniformRandomNumberGenerator> | |
3879 | void | |
3880 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3881 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3882 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
3883 | |
3884 | template<typename _ForwardIterator, | |
3885 | typename _UniformRandomNumberGenerator> | |
3886 | void | |
3887 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3888 | _UniformRandomNumberGenerator& __urng, | |
3889 | const param_type& __p) | |
3890 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3891 | ||
3892 | template<typename _UniformRandomNumberGenerator> | |
3893 | void | |
3894 | __generate(result_type* __f, result_type* __t, | |
3895 | _UniformRandomNumberGenerator& __urng, | |
3896 | const param_type& __p) | |
3897 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3898 | ||
fc05e1ba PC |
3899 | /** |
3900 | * @brief Return true if two binomial distributions have | |
3901 | * the same parameters and the sequences that would | |
3902 | * be generated are equal. | |
3903 | */ | |
fc05e1ba | 3904 | friend bool |
a30e18c1 MG |
3905 | operator==(const binomial_distribution& __d1, |
3906 | const binomial_distribution& __d2) | |
fc05e1ba | 3907 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
5bcb3b4d | 3908 | { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 3909 | #else |
5bcb3b4d | 3910 | { return __d1._M_param == __d2._M_param; } |
fc05e1ba PC |
3911 | #endif |
3912 | ||
8e79468d BK |
3913 | /** |
3914 | * @brief Inserts a %binomial_distribution random number distribution | |
3915 | * @p __x into the output stream @p __os. | |
3916 | * | |
3917 | * @param __os An output stream. | |
3918 | * @param __x A %binomial_distribution random number distribution. | |
3919 | * | |
3920 | * @returns The output stream with the state of @p __x inserted or in | |
3921 | * an error state. | |
3922 | */ | |
3923 | template<typename _IntType1, | |
3924 | typename _CharT, typename _Traits> | |
3925 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3926 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3927 | const std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3928 | |
3929 | /** | |
3930 | * @brief Extracts a %binomial_distribution random number distribution | |
3931 | * @p __x from the input stream @p __is. | |
3932 | * | |
3933 | * @param __is An input stream. | |
3934 | * @param __x A %binomial_distribution random number generator engine. | |
3935 | * | |
3936 | * @returns The input stream with @p __x extracted or in an error | |
3937 | * state. | |
3938 | */ | |
3939 | template<typename _IntType1, | |
3940 | typename _CharT, typename _Traits> | |
3941 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3942 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3943 | std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3944 | |
3945 | private: | |
7b93bdde UD |
3946 | template<typename _ForwardIterator, |
3947 | typename _UniformRandomNumberGenerator> | |
3948 | void | |
3949 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3950 | _UniformRandomNumberGenerator& __urng, | |
3951 | const param_type& __p); | |
3952 | ||
8e79468d BK |
3953 | template<typename _UniformRandomNumberGenerator> |
3954 | result_type | |
07bba3b1 PC |
3955 | _M_waiting(_UniformRandomNumberGenerator& __urng, |
3956 | _IntType __t, double __q); | |
8e79468d BK |
3957 | |
3958 | param_type _M_param; | |
3959 | ||
3960 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 3961 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
3962 | }; |
3963 | ||
fc05e1ba PC |
3964 | /** |
3965 | * @brief Return true if two binomial distributions are different. | |
3966 | */ | |
3967 | template<typename _IntType> | |
3968 | inline bool | |
3969 | operator!=(const std::binomial_distribution<_IntType>& __d1, | |
3970 | const std::binomial_distribution<_IntType>& __d2) | |
3971 | { return !(__d1 == __d2); } | |
3972 | ||
8e79468d BK |
3973 | |
3974 | /** | |
3975 | * @brief A discrete geometric random number distribution. | |
3976 | * | |
3977 | * The formula for the geometric probability density function is | |
d8d4db33 | 3978 | * @f$p(i|p) = p(1 - p)^{i}@f$ where @f$p@f$ is the parameter of the |
8e79468d BK |
3979 | * distribution. |
3980 | */ | |
3981 | template<typename _IntType = int> | |
3982 | class geometric_distribution | |
3983 | { | |
77e3c516 | 3984 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 3985 | "result_type must be an integral type"); |
8e79468d BK |
3986 | |
3987 | public: | |
3988 | /** The type of the range of the distribution. */ | |
3989 | typedef _IntType result_type; | |
12905f10 | 3990 | |
8e79468d BK |
3991 | /** Parameter type. */ |
3992 | struct param_type | |
3993 | { | |
3994 | typedef geometric_distribution<_IntType> distribution_type; | |
3995 | friend class geometric_distribution<_IntType>; | |
3996 | ||
977ac63e JW |
3997 | param_type() : param_type(0.5) { } |
3998 | ||
8e79468d | 3999 | explicit |
977ac63e | 4000 | param_type(double __p) |
8e79468d BK |
4001 | : _M_p(__p) |
4002 | { | |
2f1e8e7c | 4003 | __glibcxx_assert((_M_p > 0.0) && (_M_p < 1.0)); |
8e79468d BK |
4004 | _M_initialize(); |
4005 | } | |
4006 | ||
4007 | double | |
4008 | p() const | |
4009 | { return _M_p; } | |
4010 | ||
fc05e1ba PC |
4011 | friend bool |
4012 | operator==(const param_type& __p1, const param_type& __p2) | |
4013 | { return __p1._M_p == __p2._M_p; } | |
4014 | ||
12905f10 JW |
4015 | friend bool |
4016 | operator!=(const param_type& __p1, const param_type& __p2) | |
4017 | { return !(__p1 == __p2); } | |
4018 | ||
8e79468d BK |
4019 | private: |
4020 | void | |
4021 | _M_initialize() | |
d8d4db33 | 4022 | { _M_log_1_p = std::log(1.0 - _M_p); } |
8e79468d BK |
4023 | |
4024 | double _M_p; | |
4025 | ||
d8d4db33 | 4026 | double _M_log_1_p; |
8e79468d BK |
4027 | }; |
4028 | ||
dd9db6f8 JW |
4029 | // constructors and member functions |
4030 | ||
4031 | geometric_distribution() : geometric_distribution(0.5) { } | |
4032 | ||
8e79468d | 4033 | explicit |
dd9db6f8 | 4034 | geometric_distribution(double __p) |
8e79468d BK |
4035 | : _M_param(__p) |
4036 | { } | |
4037 | ||
4038 | explicit | |
4039 | geometric_distribution(const param_type& __p) | |
4040 | : _M_param(__p) | |
4041 | { } | |
4042 | ||
4043 | /** | |
4044 | * @brief Resets the distribution state. | |
4045 | * | |
4046 | * Does nothing for the geometric distribution. | |
4047 | */ | |
4048 | void | |
4049 | reset() { } | |
4050 | ||
4051 | /** | |
4052 | * @brief Returns the distribution parameter @p p. | |
4053 | */ | |
4054 | double | |
4055 | p() const | |
4056 | { return _M_param.p(); } | |
4057 | ||
4058 | /** | |
4059 | * @brief Returns the parameter set of the distribution. | |
4060 | */ | |
4061 | param_type | |
4062 | param() const | |
4063 | { return _M_param; } | |
4064 | ||
4065 | /** | |
4066 | * @brief Sets the parameter set of the distribution. | |
4067 | * @param __param The new parameter set of the distribution. | |
4068 | */ | |
4069 | void | |
4070 | param(const param_type& __param) | |
4071 | { _M_param = __param; } | |
4072 | ||
4073 | /** | |
4074 | * @brief Returns the greatest lower bound value of the distribution. | |
4075 | */ | |
4076 | result_type | |
4077 | min() const | |
4078 | { return 0; } | |
4079 | ||
4080 | /** | |
4081 | * @brief Returns the least upper bound value of the distribution. | |
4082 | */ | |
4083 | result_type | |
4084 | max() const | |
4085 | { return std::numeric_limits<result_type>::max(); } | |
4086 | ||
247d8075 PC |
4087 | /** |
4088 | * @brief Generating functions. | |
4089 | */ | |
8e79468d BK |
4090 | template<typename _UniformRandomNumberGenerator> |
4091 | result_type | |
4092 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4093 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4094 | |
4095 | template<typename _UniformRandomNumberGenerator> | |
4096 | result_type | |
4097 | operator()(_UniformRandomNumberGenerator& __urng, | |
4098 | const param_type& __p); | |
4099 | ||
7b93bdde UD |
4100 | template<typename _ForwardIterator, |
4101 | typename _UniformRandomNumberGenerator> | |
4102 | void | |
4103 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4104 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4105 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4106 | |
4107 | template<typename _ForwardIterator, | |
4108 | typename _UniformRandomNumberGenerator> | |
4109 | void | |
4110 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4111 | _UniformRandomNumberGenerator& __urng, | |
4112 | const param_type& __p) | |
4113 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4114 | ||
4115 | template<typename _UniformRandomNumberGenerator> | |
4116 | void | |
4117 | __generate(result_type* __f, result_type* __t, | |
4118 | _UniformRandomNumberGenerator& __urng, | |
4119 | const param_type& __p) | |
4120 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4121 | ||
5bcb3b4d PC |
4122 | /** |
4123 | * @brief Return true if two geometric distributions have | |
4124 | * the same parameters. | |
4125 | */ | |
4126 | friend bool | |
4127 | operator==(const geometric_distribution& __d1, | |
4128 | const geometric_distribution& __d2) | |
4129 | { return __d1._M_param == __d2._M_param; } | |
4130 | ||
8e79468d | 4131 | private: |
7b93bdde UD |
4132 | template<typename _ForwardIterator, |
4133 | typename _UniformRandomNumberGenerator> | |
4134 | void | |
4135 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4136 | _UniformRandomNumberGenerator& __urng, | |
4137 | const param_type& __p); | |
4138 | ||
8e79468d BK |
4139 | param_type _M_param; |
4140 | }; | |
4141 | ||
fc05e1ba PC |
4142 | /** |
4143 | * @brief Return true if two geometric distributions have | |
4144 | * different parameters. | |
4145 | */ | |
4146 | template<typename _IntType> | |
4147 | inline bool | |
4148 | operator!=(const std::geometric_distribution<_IntType>& __d1, | |
4149 | const std::geometric_distribution<_IntType>& __d2) | |
4150 | { return !(__d1 == __d2); } | |
4151 | ||
8e79468d BK |
4152 | /** |
4153 | * @brief Inserts a %geometric_distribution random number distribution | |
4154 | * @p __x into the output stream @p __os. | |
4155 | * | |
4156 | * @param __os An output stream. | |
4157 | * @param __x A %geometric_distribution random number distribution. | |
4158 | * | |
4159 | * @returns The output stream with the state of @p __x inserted or in | |
4160 | * an error state. | |
4161 | */ | |
4162 | template<typename _IntType, | |
4163 | typename _CharT, typename _Traits> | |
4164 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4165 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4166 | const std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4167 | |
4168 | /** | |
4169 | * @brief Extracts a %geometric_distribution random number distribution | |
4170 | * @p __x from the input stream @p __is. | |
4171 | * | |
4172 | * @param __is An input stream. | |
4173 | * @param __x A %geometric_distribution random number generator engine. | |
4174 | * | |
4175 | * @returns The input stream with @p __x extracted or in an error state. | |
4176 | */ | |
4177 | template<typename _IntType, | |
4178 | typename _CharT, typename _Traits> | |
4179 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4180 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4181 | std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4182 | |
4183 | ||
4184 | /** | |
4185 | * @brief A negative_binomial_distribution random number distribution. | |
4186 | * | |
4187 | * The formula for the negative binomial probability mass function is | |
6cc5a790 BK |
4188 | * @f$p(i) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
4189 | * and @f$p@f$ are the parameters of the distribution. | |
8e79468d BK |
4190 | */ |
4191 | template<typename _IntType = int> | |
4192 | class negative_binomial_distribution | |
4193 | { | |
77e3c516 | 4194 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 4195 | "result_type must be an integral type"); |
8e79468d BK |
4196 | |
4197 | public: | |
4198 | /** The type of the range of the distribution. */ | |
4199 | typedef _IntType result_type; | |
12905f10 | 4200 | |
8e79468d BK |
4201 | /** Parameter type. */ |
4202 | struct param_type | |
4203 | { | |
4204 | typedef negative_binomial_distribution<_IntType> distribution_type; | |
4205 | ||
977ac63e JW |
4206 | param_type() : param_type(1) { } |
4207 | ||
8e79468d | 4208 | explicit |
977ac63e | 4209 | param_type(_IntType __k, double __p = 0.5) |
8e79468d | 4210 | : _M_k(__k), _M_p(__p) |
113b21bd | 4211 | { |
2f1e8e7c | 4212 | __glibcxx_assert((_M_k > 0) && (_M_p > 0.0) && (_M_p <= 1.0)); |
113b21bd | 4213 | } |
8e79468d BK |
4214 | |
4215 | _IntType | |
4216 | k() const | |
4217 | { return _M_k; } | |
4218 | ||
4219 | double | |
4220 | p() const | |
4221 | { return _M_p; } | |
4222 | ||
fc05e1ba PC |
4223 | friend bool |
4224 | operator==(const param_type& __p1, const param_type& __p2) | |
4225 | { return __p1._M_k == __p2._M_k && __p1._M_p == __p2._M_p; } | |
4226 | ||
12905f10 JW |
4227 | friend bool |
4228 | operator!=(const param_type& __p1, const param_type& __p2) | |
4229 | { return !(__p1 == __p2); } | |
4230 | ||
8e79468d BK |
4231 | private: |
4232 | _IntType _M_k; | |
4233 | double _M_p; | |
4234 | }; | |
4235 | ||
dd9db6f8 JW |
4236 | negative_binomial_distribution() : negative_binomial_distribution(1) { } |
4237 | ||
8e79468d | 4238 | explicit |
dd9db6f8 | 4239 | negative_binomial_distribution(_IntType __k, double __p = 0.5) |
ff2e697a | 4240 | : _M_param(__k, __p), _M_gd(__k, (1.0 - __p) / __p) |
8e79468d BK |
4241 | { } |
4242 | ||
4243 | explicit | |
4244 | negative_binomial_distribution(const param_type& __p) | |
ff2e697a | 4245 | : _M_param(__p), _M_gd(__p.k(), (1.0 - __p.p()) / __p.p()) |
8e79468d BK |
4246 | { } |
4247 | ||
4248 | /** | |
4249 | * @brief Resets the distribution state. | |
4250 | */ | |
4251 | void | |
4252 | reset() | |
f9b09dec | 4253 | { _M_gd.reset(); } |
8e79468d BK |
4254 | |
4255 | /** | |
6cc5a790 | 4256 | * @brief Return the @f$k@f$ parameter of the distribution. |
8e79468d BK |
4257 | */ |
4258 | _IntType | |
4259 | k() const | |
4260 | { return _M_param.k(); } | |
4261 | ||
4262 | /** | |
6cc5a790 | 4263 | * @brief Return the @f$p@f$ parameter of the distribution. |
8e79468d BK |
4264 | */ |
4265 | double | |
4266 | p() const | |
4267 | { return _M_param.p(); } | |
4268 | ||
4269 | /** | |
4270 | * @brief Returns the parameter set of the distribution. | |
4271 | */ | |
4272 | param_type | |
4273 | param() const | |
4274 | { return _M_param; } | |
4275 | ||
4276 | /** | |
4277 | * @brief Sets the parameter set of the distribution. | |
4278 | * @param __param The new parameter set of the distribution. | |
4279 | */ | |
4280 | void | |
4281 | param(const param_type& __param) | |
4282 | { _M_param = __param; } | |
4283 | ||
4284 | /** | |
4285 | * @brief Returns the greatest lower bound value of the distribution. | |
4286 | */ | |
4287 | result_type | |
4288 | min() const | |
4289 | { return result_type(0); } | |
4290 | ||
4291 | /** | |
4292 | * @brief Returns the least upper bound value of the distribution. | |
4293 | */ | |
4294 | result_type | |
4295 | max() const | |
4296 | { return std::numeric_limits<result_type>::max(); } | |
4297 | ||
247d8075 PC |
4298 | /** |
4299 | * @brief Generating functions. | |
4300 | */ | |
8e79468d BK |
4301 | template<typename _UniformRandomNumberGenerator> |
4302 | result_type | |
f9b09dec | 4303 | operator()(_UniformRandomNumberGenerator& __urng); |
8e79468d BK |
4304 | |
4305 | template<typename _UniformRandomNumberGenerator> | |
4306 | result_type | |
4307 | operator()(_UniformRandomNumberGenerator& __urng, | |
4308 | const param_type& __p); | |
4309 | ||
7b93bdde UD |
4310 | template<typename _ForwardIterator, |
4311 | typename _UniformRandomNumberGenerator> | |
4312 | void | |
4313 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4314 | _UniformRandomNumberGenerator& __urng) | |
4315 | { this->__generate_impl(__f, __t, __urng); } | |
4316 | ||
4317 | template<typename _ForwardIterator, | |
4318 | typename _UniformRandomNumberGenerator> | |
4319 | void | |
4320 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4321 | _UniformRandomNumberGenerator& __urng, | |
4322 | const param_type& __p) | |
4323 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4324 | ||
4325 | template<typename _UniformRandomNumberGenerator> | |
4326 | void | |
4327 | __generate(result_type* __f, result_type* __t, | |
4328 | _UniformRandomNumberGenerator& __urng) | |
4329 | { this->__generate_impl(__f, __t, __urng); } | |
4330 | ||
4331 | template<typename _UniformRandomNumberGenerator> | |
4332 | void | |
4333 | __generate(result_type* __f, result_type* __t, | |
4334 | _UniformRandomNumberGenerator& __urng, | |
4335 | const param_type& __p) | |
4336 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4337 | ||
fc05e1ba PC |
4338 | /** |
4339 | * @brief Return true if two negative binomial distributions have | |
4340 | * the same parameters and the sequences that would be | |
4341 | * generated are equal. | |
4342 | */ | |
a30e18c1 MG |
4343 | friend bool |
4344 | operator==(const negative_binomial_distribution& __d1, | |
4345 | const negative_binomial_distribution& __d2) | |
5bcb3b4d | 4346 | { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; } |
fc05e1ba | 4347 | |
e1923769 ESR |
4348 | /** |
4349 | * @brief Inserts a %negative_binomial_distribution random | |
4350 | * number distribution @p __x into the output stream @p __os. | |
4351 | * | |
4352 | * @param __os An output stream. | |
4353 | * @param __x A %negative_binomial_distribution random number | |
4354 | * distribution. | |
4355 | * | |
4356 | * @returns The output stream with the state of @p __x inserted or in | |
4357 | * an error state. | |
4358 | */ | |
4359 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4360 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4361 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4362 | const std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 ESR |
4363 | |
4364 | /** | |
4365 | * @brief Extracts a %negative_binomial_distribution random number | |
4366 | * distribution @p __x from the input stream @p __is. | |
4367 | * | |
4368 | * @param __is An input stream. | |
4369 | * @param __x A %negative_binomial_distribution random number | |
4370 | * generator engine. | |
4371 | * | |
4372 | * @returns The input stream with @p __x extracted or in an error state. | |
4373 | */ | |
4374 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4375 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4376 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4377 | std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 | 4378 | |
8e79468d | 4379 | private: |
7b93bdde UD |
4380 | template<typename _ForwardIterator, |
4381 | typename _UniformRandomNumberGenerator> | |
4382 | void | |
4383 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4384 | _UniformRandomNumberGenerator& __urng); | |
4385 | template<typename _ForwardIterator, | |
4386 | typename _UniformRandomNumberGenerator> | |
4387 | void | |
4388 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4389 | _UniformRandomNumberGenerator& __urng, | |
4390 | const param_type& __p); | |
4391 | ||
8e79468d | 4392 | param_type _M_param; |
f9b09dec PC |
4393 | |
4394 | std::gamma_distribution<double> _M_gd; | |
8e79468d BK |
4395 | }; |
4396 | ||
fc05e1ba PC |
4397 | /** |
4398 | * @brief Return true if two negative binomial distributions are different. | |
4399 | */ | |
4400 | template<typename _IntType> | |
4401 | inline bool | |
4402 | operator!=(const std::negative_binomial_distribution<_IntType>& __d1, | |
4403 | const std::negative_binomial_distribution<_IntType>& __d2) | |
4404 | { return !(__d1 == __d2); } | |
4405 | ||
4406 | ||
037181bc | 4407 | /* @} */ // group random_distributions_bernoulli |
8e79468d BK |
4408 | |
4409 | /** | |
94a86be0 | 4410 | * @addtogroup random_distributions_poisson Poisson Distributions |
037181bc | 4411 | * @ingroup random_distributions |
8e79468d BK |
4412 | * @{ |
4413 | */ | |
4414 | ||
4415 | /** | |
4416 | * @brief A discrete Poisson random number distribution. | |
4417 | * | |
4418 | * The formula for the Poisson probability density function is | |
6cc5a790 | 4419 | * @f$p(i|\mu) = \frac{\mu^i}{i!} e^{-\mu}@f$ where @f$\mu@f$ is the |
8e79468d BK |
4420 | * parameter of the distribution. |
4421 | */ | |
4422 | template<typename _IntType = int> | |
4423 | class poisson_distribution | |
4424 | { | |
77e3c516 | 4425 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 4426 | "result_type must be an integral type"); |
8e79468d BK |
4427 | |
4428 | public: | |
4429 | /** The type of the range of the distribution. */ | |
4430 | typedef _IntType result_type; | |
12905f10 | 4431 | |
8e79468d BK |
4432 | /** Parameter type. */ |
4433 | struct param_type | |
4434 | { | |
4435 | typedef poisson_distribution<_IntType> distribution_type; | |
4436 | friend class poisson_distribution<_IntType>; | |
4437 | ||
977ac63e JW |
4438 | param_type() : param_type(1.0) { } |
4439 | ||
8e79468d | 4440 | explicit |
977ac63e | 4441 | param_type(double __mean) |
8e79468d BK |
4442 | : _M_mean(__mean) |
4443 | { | |
2f1e8e7c | 4444 | __glibcxx_assert(_M_mean > 0.0); |
8e79468d BK |
4445 | _M_initialize(); |
4446 | } | |
4447 | ||
4448 | double | |
4449 | mean() const | |
4450 | { return _M_mean; } | |
4451 | ||
fc05e1ba PC |
4452 | friend bool |
4453 | operator==(const param_type& __p1, const param_type& __p2) | |
4454 | { return __p1._M_mean == __p2._M_mean; } | |
4455 | ||
12905f10 JW |
4456 | friend bool |
4457 | operator!=(const param_type& __p1, const param_type& __p2) | |
4458 | { return !(__p1 == __p2); } | |
4459 | ||
8e79468d BK |
4460 | private: |
4461 | // Hosts either log(mean) or the threshold of the simple method. | |
4462 | void | |
4463 | _M_initialize(); | |
4464 | ||
4465 | double _M_mean; | |
4466 | ||
4467 | double _M_lm_thr; | |
4468 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
4469 | double _M_lfm, _M_sm, _M_d, _M_scx, _M_1cx, _M_c2b, _M_cb; | |
4470 | #endif | |
4471 | }; | |
4472 | ||
dd9db6f8 JW |
4473 | // constructors and member functions |
4474 | ||
4475 | poisson_distribution() : poisson_distribution(1.0) { } | |
4476 | ||
8e79468d | 4477 | explicit |
dd9db6f8 | 4478 | poisson_distribution(double __mean) |
8e79468d BK |
4479 | : _M_param(__mean), _M_nd() |
4480 | { } | |
4481 | ||
4482 | explicit | |
4483 | poisson_distribution(const param_type& __p) | |
4484 | : _M_param(__p), _M_nd() | |
4485 | { } | |
4486 | ||
4487 | /** | |
4488 | * @brief Resets the distribution state. | |
4489 | */ | |
4490 | void | |
4491 | reset() | |
4492 | { _M_nd.reset(); } | |
4493 | ||
4494 | /** | |
4495 | * @brief Returns the distribution parameter @p mean. | |
4496 | */ | |
4497 | double | |
4498 | mean() const | |
4499 | { return _M_param.mean(); } | |
4500 | ||
4501 | /** | |
4502 | * @brief Returns the parameter set of the distribution. | |
4503 | */ | |
4504 | param_type | |
4505 | param() const | |
4506 | { return _M_param; } | |
4507 | ||
4508 | /** | |
4509 | * @brief Sets the parameter set of the distribution. | |
4510 | * @param __param The new parameter set of the distribution. | |
4511 | */ | |
4512 | void | |
4513 | param(const param_type& __param) | |
4514 | { _M_param = __param; } | |
4515 | ||
4516 | /** | |
4517 | * @brief Returns the greatest lower bound value of the distribution. | |
4518 | */ | |
4519 | result_type | |
4520 | min() const | |
4521 | { return 0; } | |
4522 | ||
4523 | /** | |
4524 | * @brief Returns the least upper bound value of the distribution. | |
4525 | */ | |
4526 | result_type | |
4527 | max() const | |
4528 | { return std::numeric_limits<result_type>::max(); } | |
4529 | ||
247d8075 PC |
4530 | /** |
4531 | * @brief Generating functions. | |
4532 | */ | |
8e79468d BK |
4533 | template<typename _UniformRandomNumberGenerator> |
4534 | result_type | |
4535 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4536 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4537 | |
4538 | template<typename _UniformRandomNumberGenerator> | |
4539 | result_type | |
4540 | operator()(_UniformRandomNumberGenerator& __urng, | |
4541 | const param_type& __p); | |
4542 | ||
7b93bdde UD |
4543 | template<typename _ForwardIterator, |
4544 | typename _UniformRandomNumberGenerator> | |
4545 | void | |
4546 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4547 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4548 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4549 | |
4550 | template<typename _ForwardIterator, | |
4551 | typename _UniformRandomNumberGenerator> | |
4552 | void | |
4553 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4554 | _UniformRandomNumberGenerator& __urng, | |
4555 | const param_type& __p) | |
4556 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4557 | ||
4558 | template<typename _UniformRandomNumberGenerator> | |
4559 | void | |
4560 | __generate(result_type* __f, result_type* __t, | |
4561 | _UniformRandomNumberGenerator& __urng, | |
4562 | const param_type& __p) | |
4563 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4564 | ||
fc05e1ba PC |
4565 | /** |
4566 | * @brief Return true if two Poisson distributions have the same | |
4567 | * parameters and the sequences that would be generated | |
4568 | * are equal. | |
4569 | */ | |
a30e18c1 MG |
4570 | friend bool |
4571 | operator==(const poisson_distribution& __d1, | |
4572 | const poisson_distribution& __d2) | |
fc05e1ba | 4573 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
5bcb3b4d | 4574 | { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 4575 | #else |
5bcb3b4d | 4576 | { return __d1._M_param == __d2._M_param; } |
fc05e1ba PC |
4577 | #endif |
4578 | ||
8e79468d BK |
4579 | /** |
4580 | * @brief Inserts a %poisson_distribution random number distribution | |
4581 | * @p __x into the output stream @p __os. | |
4582 | * | |
4583 | * @param __os An output stream. | |
4584 | * @param __x A %poisson_distribution random number distribution. | |
4585 | * | |
4586 | * @returns The output stream with the state of @p __x inserted or in | |
4587 | * an error state. | |
4588 | */ | |
4589 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4590 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4591 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4592 | const std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4593 | |
4594 | /** | |
4595 | * @brief Extracts a %poisson_distribution random number distribution | |
4596 | * @p __x from the input stream @p __is. | |
4597 | * | |
4598 | * @param __is An input stream. | |
4599 | * @param __x A %poisson_distribution random number generator engine. | |
4600 | * | |
4601 | * @returns The input stream with @p __x extracted or in an error | |
4602 | * state. | |
4603 | */ | |
4604 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4605 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4606 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4607 | std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4608 | |
4609 | private: | |
7b93bdde UD |
4610 | template<typename _ForwardIterator, |
4611 | typename _UniformRandomNumberGenerator> | |
4612 | void | |
4613 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4614 | _UniformRandomNumberGenerator& __urng, | |
4615 | const param_type& __p); | |
4616 | ||
8e79468d BK |
4617 | param_type _M_param; |
4618 | ||
4619 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 4620 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
4621 | }; |
4622 | ||
fc05e1ba PC |
4623 | /** |
4624 | * @brief Return true if two Poisson distributions are different. | |
4625 | */ | |
4626 | template<typename _IntType> | |
4627 | inline bool | |
4628 | operator!=(const std::poisson_distribution<_IntType>& __d1, | |
4629 | const std::poisson_distribution<_IntType>& __d2) | |
4630 | { return !(__d1 == __d2); } | |
4631 | ||
4632 | ||
8e79468d BK |
4633 | /** |
4634 | * @brief An exponential continuous distribution for random numbers. | |
4635 | * | |
4636 | * The formula for the exponential probability density function is | |
6cc5a790 | 4637 | * @f$p(x|\lambda) = \lambda e^{-\lambda x}@f$. |
8e79468d BK |
4638 | * |
4639 | * <table border=1 cellpadding=10 cellspacing=0> | |
4640 | * <caption align=top>Distribution Statistics</caption> | |
6cc5a790 BK |
4641 | * <tr><td>Mean</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
4642 | * <tr><td>Median</td><td>@f$\frac{\ln 2}{\lambda}@f$</td></tr> | |
4643 | * <tr><td>Mode</td><td>@f$zero@f$</td></tr> | |
8e79468d | 4644 | * <tr><td>Range</td><td>@f$[0, \infty]@f$</td></tr> |
6cc5a790 | 4645 | * <tr><td>Standard Deviation</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
8e79468d BK |
4646 | * </table> |
4647 | */ | |
4648 | template<typename _RealType = double> | |
4649 | class exponential_distribution | |
4650 | { | |
77e3c516 | 4651 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 4652 | "result_type must be a floating point type"); |
77e3c516 | 4653 | |
8e79468d BK |
4654 | public: |
4655 | /** The type of the range of the distribution. */ | |
4656 | typedef _RealType result_type; | |
12905f10 | 4657 | |
8e79468d BK |
4658 | /** Parameter type. */ |
4659 | struct param_type | |
4660 | { | |
4661 | typedef exponential_distribution<_RealType> distribution_type; | |
4662 | ||
977ac63e JW |
4663 | param_type() : param_type(1.0) { } |
4664 | ||
8e79468d | 4665 | explicit |
977ac63e | 4666 | param_type(_RealType __lambda) |
8e79468d BK |
4667 | : _M_lambda(__lambda) |
4668 | { | |
2f1e8e7c | 4669 | __glibcxx_assert(_M_lambda > _RealType(0)); |
8e79468d BK |
4670 | } |
4671 | ||
4672 | _RealType | |
4673 | lambda() const | |
4674 | { return _M_lambda; } | |
4675 | ||
fc05e1ba PC |
4676 | friend bool |
4677 | operator==(const param_type& __p1, const param_type& __p2) | |
4678 | { return __p1._M_lambda == __p2._M_lambda; } | |
4679 | ||
12905f10 JW |
4680 | friend bool |
4681 | operator!=(const param_type& __p1, const param_type& __p2) | |
4682 | { return !(__p1 == __p2); } | |
4683 | ||
8e79468d BK |
4684 | private: |
4685 | _RealType _M_lambda; | |
4686 | }; | |
4687 | ||
4688 | public: | |
dd9db6f8 JW |
4689 | /** |
4690 | * @brief Constructs an exponential distribution with inverse scale | |
4691 | * parameter 1.0 | |
4692 | */ | |
4693 | exponential_distribution() : exponential_distribution(1.0) { } | |
4694 | ||
8e79468d BK |
4695 | /** |
4696 | * @brief Constructs an exponential distribution with inverse scale | |
6cc5a790 | 4697 | * parameter @f$\lambda@f$. |
8e79468d BK |
4698 | */ |
4699 | explicit | |
dd9db6f8 | 4700 | exponential_distribution(_RealType __lambda) |
8e79468d BK |
4701 | : _M_param(__lambda) |
4702 | { } | |
4703 | ||
4704 | explicit | |
4705 | exponential_distribution(const param_type& __p) | |
4706 | : _M_param(__p) | |
4707 | { } | |
4708 | ||
4709 | /** | |
4710 | * @brief Resets the distribution state. | |
4711 | * | |
4712 | * Has no effect on exponential distributions. | |
4713 | */ | |
4714 | void | |
4715 | reset() { } | |
4716 | ||
4717 | /** | |
4718 | * @brief Returns the inverse scale parameter of the distribution. | |
4719 | */ | |
4720 | _RealType | |
4721 | lambda() const | |
4722 | { return _M_param.lambda(); } | |
4723 | ||
4724 | /** | |
4725 | * @brief Returns the parameter set of the distribution. | |
4726 | */ | |
4727 | param_type | |
4728 | param() const | |
4729 | { return _M_param; } | |
4730 | ||
4731 | /** | |
4732 | * @brief Sets the parameter set of the distribution. | |
4733 | * @param __param The new parameter set of the distribution. | |
4734 | */ | |
4735 | void | |
4736 | param(const param_type& __param) | |
4737 | { _M_param = __param; } | |
4738 | ||
4739 | /** | |
4740 | * @brief Returns the greatest lower bound value of the distribution. | |
4741 | */ | |
4742 | result_type | |
4743 | min() const | |
4744 | { return result_type(0); } | |
4745 | ||
4746 | /** | |
4747 | * @brief Returns the least upper bound value of the distribution. | |
4748 | */ | |
4749 | result_type | |
4750 | max() const | |
4751 | { return std::numeric_limits<result_type>::max(); } | |
4752 | ||
247d8075 PC |
4753 | /** |
4754 | * @brief Generating functions. | |
4755 | */ | |
8e79468d BK |
4756 | template<typename _UniformRandomNumberGenerator> |
4757 | result_type | |
4758 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4759 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4760 | |
4761 | template<typename _UniformRandomNumberGenerator> | |
4762 | result_type | |
4763 | operator()(_UniformRandomNumberGenerator& __urng, | |
4764 | const param_type& __p) | |
4765 | { | |
4766 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
4767 | __aurng(__urng); | |
c2d9083d | 4768 | return -std::log(result_type(1) - __aurng()) / __p.lambda(); |
8e79468d BK |
4769 | } |
4770 | ||
7b93bdde UD |
4771 | template<typename _ForwardIterator, |
4772 | typename _UniformRandomNumberGenerator> | |
4773 | void | |
4774 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4775 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4776 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4777 | |
4778 | template<typename _ForwardIterator, | |
4779 | typename _UniformRandomNumberGenerator> | |
4780 | void | |
4781 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4782 | _UniformRandomNumberGenerator& __urng, | |
4783 | const param_type& __p) | |
4784 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4785 | ||
4786 | template<typename _UniformRandomNumberGenerator> | |
4787 | void | |
4788 | __generate(result_type* __f, result_type* __t, | |
4789 | _UniformRandomNumberGenerator& __urng, | |
4790 | const param_type& __p) | |
4791 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4792 | ||
5bcb3b4d PC |
4793 | /** |
4794 | * @brief Return true if two exponential distributions have the same | |
4795 | * parameters. | |
4796 | */ | |
4797 | friend bool | |
4798 | operator==(const exponential_distribution& __d1, | |
4799 | const exponential_distribution& __d2) | |
4800 | { return __d1._M_param == __d2._M_param; } | |
4801 | ||
8e79468d | 4802 | private: |
7b93bdde UD |
4803 | template<typename _ForwardIterator, |
4804 | typename _UniformRandomNumberGenerator> | |
4805 | void | |
4806 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4807 | _UniformRandomNumberGenerator& __urng, | |
4808 | const param_type& __p); | |
4809 | ||
8e79468d BK |
4810 | param_type _M_param; |
4811 | }; | |
4812 | ||
fc05e1ba PC |
4813 | /** |
4814 | * @brief Return true if two exponential distributions have different | |
4815 | * parameters. | |
4816 | */ | |
4817 | template<typename _RealType> | |
4818 | inline bool | |
4819 | operator!=(const std::exponential_distribution<_RealType>& __d1, | |
4820 | const std::exponential_distribution<_RealType>& __d2) | |
4821 | { return !(__d1 == __d2); } | |
4822 | ||
8e79468d BK |
4823 | /** |
4824 | * @brief Inserts a %exponential_distribution random number distribution | |
4825 | * @p __x into the output stream @p __os. | |
4826 | * | |
4827 | * @param __os An output stream. | |
4828 | * @param __x A %exponential_distribution random number distribution. | |
4829 | * | |
4830 | * @returns The output stream with the state of @p __x inserted or in | |
4831 | * an error state. | |
4832 | */ | |
4833 | template<typename _RealType, typename _CharT, typename _Traits> | |
4834 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4835 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4836 | const std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4837 | |
4838 | /** | |
4839 | * @brief Extracts a %exponential_distribution random number distribution | |
4840 | * @p __x from the input stream @p __is. | |
4841 | * | |
4842 | * @param __is An input stream. | |
4843 | * @param __x A %exponential_distribution random number | |
4844 | * generator engine. | |
4845 | * | |
4846 | * @returns The input stream with @p __x extracted or in an error state. | |
4847 | */ | |
4848 | template<typename _RealType, typename _CharT, typename _Traits> | |
4849 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4850 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4851 | std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4852 | |
4853 | ||
8e79468d BK |
4854 | /** |
4855 | * @brief A weibull_distribution random number distribution. | |
4856 | * | |
6cc5a790 BK |
4857 | * The formula for the normal probability density function is: |
4858 | * @f[ | |
4859 | * p(x|\alpha,\beta) = \frac{\alpha}{\beta} (\frac{x}{\beta})^{\alpha-1} | |
4860 | * \exp{(-(\frac{x}{\beta})^\alpha)} | |
4861 | * @f] | |
8e79468d BK |
4862 | */ |
4863 | template<typename _RealType = double> | |
4864 | class weibull_distribution | |
4865 | { | |
77e3c516 | 4866 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 4867 | "result_type must be a floating point type"); |
77e3c516 | 4868 | |
8e79468d BK |
4869 | public: |
4870 | /** The type of the range of the distribution. */ | |
4871 | typedef _RealType result_type; | |
12905f10 | 4872 | |
8e79468d BK |
4873 | /** Parameter type. */ |
4874 | struct param_type | |
4875 | { | |
4876 | typedef weibull_distribution<_RealType> distribution_type; | |
4877 | ||
977ac63e JW |
4878 | param_type() : param_type(1.0) { } |
4879 | ||
8e79468d | 4880 | explicit |
977ac63e | 4881 | param_type(_RealType __a, _RealType __b = _RealType(1.0)) |
8e79468d BK |
4882 | : _M_a(__a), _M_b(__b) |
4883 | { } | |
4884 | ||
4885 | _RealType | |
4886 | a() const | |
4887 | { return _M_a; } | |
4888 | ||
4889 | _RealType | |
4890 | b() const | |
4891 | { return _M_b; } | |
4892 | ||
fc05e1ba PC |
4893 | friend bool |
4894 | operator==(const param_type& __p1, const param_type& __p2) | |
4895 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
4896 | ||
12905f10 JW |
4897 | friend bool |
4898 | operator!=(const param_type& __p1, const param_type& __p2) | |
4899 | { return !(__p1 == __p2); } | |
4900 | ||
8e79468d BK |
4901 | private: |
4902 | _RealType _M_a; | |
4903 | _RealType _M_b; | |
4904 | }; | |
4905 | ||
dd9db6f8 JW |
4906 | weibull_distribution() : weibull_distribution(1.0) { } |
4907 | ||
8e79468d | 4908 | explicit |
dd9db6f8 | 4909 | weibull_distribution(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
4910 | : _M_param(__a, __b) |
4911 | { } | |
4912 | ||
4913 | explicit | |
4914 | weibull_distribution(const param_type& __p) | |
4915 | : _M_param(__p) | |
4916 | { } | |
4917 | ||
4918 | /** | |
4919 | * @brief Resets the distribution state. | |
4920 | */ | |
4921 | void | |
4922 | reset() | |
4923 | { } | |
4924 | ||
4925 | /** | |
6cc5a790 | 4926 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
4927 | */ |
4928 | _RealType | |
4929 | a() const | |
4930 | { return _M_param.a(); } | |
4931 | ||
4932 | /** | |
6cc5a790 | 4933 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
4934 | */ |
4935 | _RealType | |
4936 | b() const | |
4937 | { return _M_param.b(); } | |
4938 | ||
4939 | /** | |
4940 | * @brief Returns the parameter set of the distribution. | |
4941 | */ | |
4942 | param_type | |
4943 | param() const | |
4944 | { return _M_param; } | |
4945 | ||
4946 | /** | |
4947 | * @brief Sets the parameter set of the distribution. | |
4948 | * @param __param The new parameter set of the distribution. | |
4949 | */ | |
4950 | void | |
4951 | param(const param_type& __param) | |
4952 | { _M_param = __param; } | |
4953 | ||
4954 | /** | |
4955 | * @brief Returns the greatest lower bound value of the distribution. | |
4956 | */ | |
4957 | result_type | |
4958 | min() const | |
4959 | { return result_type(0); } | |
4960 | ||
4961 | /** | |
4962 | * @brief Returns the least upper bound value of the distribution. | |
4963 | */ | |
4964 | result_type | |
4965 | max() const | |
4966 | { return std::numeric_limits<result_type>::max(); } | |
4967 | ||
247d8075 PC |
4968 | /** |
4969 | * @brief Generating functions. | |
4970 | */ | |
8e79468d BK |
4971 | template<typename _UniformRandomNumberGenerator> |
4972 | result_type | |
4973 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4974 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4975 | |
4976 | template<typename _UniformRandomNumberGenerator> | |
4977 | result_type | |
4978 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb | 4979 | const param_type& __p); |
8e79468d | 4980 | |
7b93bdde UD |
4981 | template<typename _ForwardIterator, |
4982 | typename _UniformRandomNumberGenerator> | |
4983 | void | |
4984 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4985 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4986 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4987 | |
4988 | template<typename _ForwardIterator, | |
4989 | typename _UniformRandomNumberGenerator> | |
4990 | void | |
4991 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4992 | _UniformRandomNumberGenerator& __urng, | |
4993 | const param_type& __p) | |
4994 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4995 | ||
4996 | template<typename _UniformRandomNumberGenerator> | |
4997 | void | |
4998 | __generate(result_type* __f, result_type* __t, | |
4999 | _UniformRandomNumberGenerator& __urng, | |
5000 | const param_type& __p) | |
5001 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5002 | ||
5bcb3b4d PC |
5003 | /** |
5004 | * @brief Return true if two Weibull distributions have the same | |
5005 | * parameters. | |
5006 | */ | |
5007 | friend bool | |
5008 | operator==(const weibull_distribution& __d1, | |
5009 | const weibull_distribution& __d2) | |
5010 | { return __d1._M_param == __d2._M_param; } | |
5011 | ||
8e79468d | 5012 | private: |
7b93bdde UD |
5013 | template<typename _ForwardIterator, |
5014 | typename _UniformRandomNumberGenerator> | |
5015 | void | |
5016 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5017 | _UniformRandomNumberGenerator& __urng, | |
5018 | const param_type& __p); | |
5019 | ||
8e79468d BK |
5020 | param_type _M_param; |
5021 | }; | |
5022 | ||
fc05e1ba PC |
5023 | /** |
5024 | * @brief Return true if two Weibull distributions have different | |
5025 | * parameters. | |
5026 | */ | |
5027 | template<typename _RealType> | |
5028 | inline bool | |
5029 | operator!=(const std::weibull_distribution<_RealType>& __d1, | |
5030 | const std::weibull_distribution<_RealType>& __d2) | |
5031 | { return !(__d1 == __d2); } | |
5032 | ||
8e79468d BK |
5033 | /** |
5034 | * @brief Inserts a %weibull_distribution random number distribution | |
5035 | * @p __x into the output stream @p __os. | |
5036 | * | |
5037 | * @param __os An output stream. | |
5038 | * @param __x A %weibull_distribution random number distribution. | |
5039 | * | |
5040 | * @returns The output stream with the state of @p __x inserted or in | |
5041 | * an error state. | |
5042 | */ | |
5043 | template<typename _RealType, typename _CharT, typename _Traits> | |
5044 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5045 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5046 | const std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
5047 | |
5048 | /** | |
5049 | * @brief Extracts a %weibull_distribution random number distribution | |
5050 | * @p __x from the input stream @p __is. | |
5051 | * | |
5052 | * @param __is An input stream. | |
5053 | * @param __x A %weibull_distribution random number | |
5054 | * generator engine. | |
5055 | * | |
5056 | * @returns The input stream with @p __x extracted or in an error state. | |
5057 | */ | |
5058 | template<typename _RealType, typename _CharT, typename _Traits> | |
5059 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5060 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5061 | std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
5062 | |
5063 | ||
5064 | /** | |
5065 | * @brief A extreme_value_distribution random number distribution. | |
5066 | * | |
5067 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
5068 | * @f[ |
5069 | * p(x|a,b) = \frac{1}{b} | |
5070 | * \exp( \frac{a-x}{b} - \exp(\frac{a-x}{b})) | |
5071 | * @f] | |
8e79468d BK |
5072 | */ |
5073 | template<typename _RealType = double> | |
5074 | class extreme_value_distribution | |
5075 | { | |
77e3c516 | 5076 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5077 | "result_type must be a floating point type"); |
77e3c516 | 5078 | |
8e79468d BK |
5079 | public: |
5080 | /** The type of the range of the distribution. */ | |
5081 | typedef _RealType result_type; | |
12905f10 | 5082 | |
8e79468d BK |
5083 | /** Parameter type. */ |
5084 | struct param_type | |
5085 | { | |
5086 | typedef extreme_value_distribution<_RealType> distribution_type; | |
5087 | ||
977ac63e JW |
5088 | param_type() : param_type(0.0) { } |
5089 | ||
8e79468d | 5090 | explicit |
977ac63e | 5091 | param_type(_RealType __a, _RealType __b = _RealType(1.0)) |
8e79468d BK |
5092 | : _M_a(__a), _M_b(__b) |
5093 | { } | |
5094 | ||
5095 | _RealType | |
5096 | a() const | |
5097 | { return _M_a; } | |
5098 | ||
5099 | _RealType | |
5100 | b() const | |
5101 | { return _M_b; } | |
5102 | ||
fc05e1ba PC |
5103 | friend bool |
5104 | operator==(const param_type& __p1, const param_type& __p2) | |
5105 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
5106 | ||
12905f10 JW |
5107 | friend bool |
5108 | operator!=(const param_type& __p1, const param_type& __p2) | |
5109 | { return !(__p1 == __p2); } | |
5110 | ||
8e79468d BK |
5111 | private: |
5112 | _RealType _M_a; | |
5113 | _RealType _M_b; | |
5114 | }; | |
5115 | ||
dd9db6f8 JW |
5116 | extreme_value_distribution() : extreme_value_distribution(0.0) { } |
5117 | ||
8e79468d | 5118 | explicit |
dd9db6f8 | 5119 | extreme_value_distribution(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
5120 | : _M_param(__a, __b) |
5121 | { } | |
5122 | ||
5123 | explicit | |
5124 | extreme_value_distribution(const param_type& __p) | |
5125 | : _M_param(__p) | |
5126 | { } | |
5127 | ||
5128 | /** | |
5129 | * @brief Resets the distribution state. | |
5130 | */ | |
5131 | void | |
5132 | reset() | |
5133 | { } | |
5134 | ||
5135 | /** | |
6cc5a790 | 5136 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
5137 | */ |
5138 | _RealType | |
5139 | a() const | |
5140 | { return _M_param.a(); } | |
5141 | ||
5142 | /** | |
6cc5a790 | 5143 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
5144 | */ |
5145 | _RealType | |
5146 | b() const | |
5147 | { return _M_param.b(); } | |
5148 | ||
5149 | /** | |
5150 | * @brief Returns the parameter set of the distribution. | |
5151 | */ | |
5152 | param_type | |
5153 | param() const | |
5154 | { return _M_param; } | |
5155 | ||
5156 | /** | |
5157 | * @brief Sets the parameter set of the distribution. | |
5158 | * @param __param The new parameter set of the distribution. | |
5159 | */ | |
5160 | void | |
5161 | param(const param_type& __param) | |
5162 | { _M_param = __param; } | |
5163 | ||
5164 | /** | |
5165 | * @brief Returns the greatest lower bound value of the distribution. | |
5166 | */ | |
5167 | result_type | |
5168 | min() const | |
a803975d | 5169 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
5170 | |
5171 | /** | |
5172 | * @brief Returns the least upper bound value of the distribution. | |
5173 | */ | |
5174 | result_type | |
5175 | max() const | |
5176 | { return std::numeric_limits<result_type>::max(); } | |
5177 | ||
247d8075 PC |
5178 | /** |
5179 | * @brief Generating functions. | |
5180 | */ | |
8e79468d BK |
5181 | template<typename _UniformRandomNumberGenerator> |
5182 | result_type | |
5183 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5184 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5185 | |
5186 | template<typename _UniformRandomNumberGenerator> | |
5187 | result_type | |
5188 | operator()(_UniformRandomNumberGenerator& __urng, | |
5189 | const param_type& __p); | |
5190 | ||
7b93bdde UD |
5191 | template<typename _ForwardIterator, |
5192 | typename _UniformRandomNumberGenerator> | |
5193 | void | |
5194 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5195 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5196 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5197 | |
5198 | template<typename _ForwardIterator, | |
5199 | typename _UniformRandomNumberGenerator> | |
5200 | void | |
5201 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5202 | _UniformRandomNumberGenerator& __urng, | |
5203 | const param_type& __p) | |
5204 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5205 | ||
5206 | template<typename _UniformRandomNumberGenerator> | |
5207 | void | |
5208 | __generate(result_type* __f, result_type* __t, | |
5209 | _UniformRandomNumberGenerator& __urng, | |
5210 | const param_type& __p) | |
5211 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5212 | ||
5bcb3b4d PC |
5213 | /** |
5214 | * @brief Return true if two extreme value distributions have the same | |
5215 | * parameters. | |
5216 | */ | |
5217 | friend bool | |
5218 | operator==(const extreme_value_distribution& __d1, | |
5219 | const extreme_value_distribution& __d2) | |
5220 | { return __d1._M_param == __d2._M_param; } | |
5221 | ||
8e79468d | 5222 | private: |
7b93bdde UD |
5223 | template<typename _ForwardIterator, |
5224 | typename _UniformRandomNumberGenerator> | |
5225 | void | |
5226 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5227 | _UniformRandomNumberGenerator& __urng, | |
5228 | const param_type& __p); | |
5229 | ||
8e79468d BK |
5230 | param_type _M_param; |
5231 | }; | |
5232 | ||
fc05e1ba PC |
5233 | /** |
5234 | * @brief Return true if two extreme value distributions have different | |
5235 | * parameters. | |
5236 | */ | |
5237 | template<typename _RealType> | |
5238 | inline bool | |
5239 | operator!=(const std::extreme_value_distribution<_RealType>& __d1, | |
5240 | const std::extreme_value_distribution<_RealType>& __d2) | |
5241 | { return !(__d1 == __d2); } | |
5242 | ||
8e79468d BK |
5243 | /** |
5244 | * @brief Inserts a %extreme_value_distribution random number distribution | |
5245 | * @p __x into the output stream @p __os. | |
5246 | * | |
5247 | * @param __os An output stream. | |
5248 | * @param __x A %extreme_value_distribution random number distribution. | |
5249 | * | |
5250 | * @returns The output stream with the state of @p __x inserted or in | |
5251 | * an error state. | |
5252 | */ | |
5253 | template<typename _RealType, typename _CharT, typename _Traits> | |
5254 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5255 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5256 | const std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5257 | |
5258 | /** | |
5259 | * @brief Extracts a %extreme_value_distribution random number | |
5260 | * distribution @p __x from the input stream @p __is. | |
5261 | * | |
5262 | * @param __is An input stream. | |
5263 | * @param __x A %extreme_value_distribution random number | |
5264 | * generator engine. | |
5265 | * | |
5266 | * @returns The input stream with @p __x extracted or in an error state. | |
5267 | */ | |
5268 | template<typename _RealType, typename _CharT, typename _Traits> | |
5269 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5270 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5271 | std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5272 | |
5273 | ||
5274 | /** | |
5275 | * @brief A discrete_distribution random number distribution. | |
5276 | * | |
5277 | * The formula for the discrete probability mass function is | |
5278 | * | |
5279 | */ | |
5280 | template<typename _IntType = int> | |
5281 | class discrete_distribution | |
5282 | { | |
77e3c516 | 5283 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 5284 | "result_type must be an integral type"); |
8e79468d BK |
5285 | |
5286 | public: | |
5287 | /** The type of the range of the distribution. */ | |
5288 | typedef _IntType result_type; | |
12905f10 | 5289 | |
8e79468d BK |
5290 | /** Parameter type. */ |
5291 | struct param_type | |
5292 | { | |
5293 | typedef discrete_distribution<_IntType> distribution_type; | |
5294 | friend class discrete_distribution<_IntType>; | |
5295 | ||
5296 | param_type() | |
879b9073 | 5297 | : _M_prob(), _M_cp() |
ce9555cb | 5298 | { } |
8e79468d BK |
5299 | |
5300 | template<typename _InputIterator> | |
5301 | param_type(_InputIterator __wbegin, | |
5302 | _InputIterator __wend) | |
5303 | : _M_prob(__wbegin, __wend), _M_cp() | |
5304 | { _M_initialize(); } | |
5305 | ||
5306 | param_type(initializer_list<double> __wil) | |
5307 | : _M_prob(__wil.begin(), __wil.end()), _M_cp() | |
5308 | { _M_initialize(); } | |
5309 | ||
5310 | template<typename _Func> | |
5311 | param_type(size_t __nw, double __xmin, double __xmax, | |
5312 | _Func __fw); | |
5313 | ||
ce9555cb PC |
5314 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5315 | param_type(const param_type&) = default; | |
5316 | param_type& operator=(const param_type&) = default; | |
5317 | ||
8e79468d BK |
5318 | std::vector<double> |
5319 | probabilities() const | |
879b9073 | 5320 | { return _M_prob.empty() ? std::vector<double>(1, 1.0) : _M_prob; } |
8e79468d | 5321 | |
fc05e1ba PC |
5322 | friend bool |
5323 | operator==(const param_type& __p1, const param_type& __p2) | |
5324 | { return __p1._M_prob == __p2._M_prob; } | |
5325 | ||
12905f10 JW |
5326 | friend bool |
5327 | operator!=(const param_type& __p1, const param_type& __p2) | |
5328 | { return !(__p1 == __p2); } | |
5329 | ||
8e79468d BK |
5330 | private: |
5331 | void | |
5332 | _M_initialize(); | |
5333 | ||
5334 | std::vector<double> _M_prob; | |
5335 | std::vector<double> _M_cp; | |
5336 | }; | |
5337 | ||
5338 | discrete_distribution() | |
5339 | : _M_param() | |
5340 | { } | |
5341 | ||
5342 | template<typename _InputIterator> | |
5343 | discrete_distribution(_InputIterator __wbegin, | |
5344 | _InputIterator __wend) | |
5345 | : _M_param(__wbegin, __wend) | |
5346 | { } | |
5347 | ||
f8dd9e0d PC |
5348 | discrete_distribution(initializer_list<double> __wl) |
5349 | : _M_param(__wl) | |
8e79468d BK |
5350 | { } |
5351 | ||
5352 | template<typename _Func> | |
5353 | discrete_distribution(size_t __nw, double __xmin, double __xmax, | |
5354 | _Func __fw) | |
5355 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5356 | { } | |
5357 | ||
5358 | explicit | |
5359 | discrete_distribution(const param_type& __p) | |
5360 | : _M_param(__p) | |
5361 | { } | |
5362 | ||
5363 | /** | |
5364 | * @brief Resets the distribution state. | |
5365 | */ | |
5366 | void | |
5367 | reset() | |
5368 | { } | |
5369 | ||
5370 | /** | |
5371 | * @brief Returns the probabilities of the distribution. | |
5372 | */ | |
5373 | std::vector<double> | |
5374 | probabilities() const | |
879b9073 PC |
5375 | { |
5376 | return _M_param._M_prob.empty() | |
5377 | ? std::vector<double>(1, 1.0) : _M_param._M_prob; | |
5378 | } | |
8e79468d BK |
5379 | |
5380 | /** | |
5381 | * @brief Returns the parameter set of the distribution. | |
5382 | */ | |
5383 | param_type | |
5384 | param() const | |
5385 | { return _M_param; } | |
5386 | ||
5387 | /** | |
5388 | * @brief Sets the parameter set of the distribution. | |
5389 | * @param __param The new parameter set of the distribution. | |
5390 | */ | |
5391 | void | |
5392 | param(const param_type& __param) | |
5393 | { _M_param = __param; } | |
5394 | ||
5395 | /** | |
5396 | * @brief Returns the greatest lower bound value of the distribution. | |
5397 | */ | |
5398 | result_type | |
5399 | min() const | |
5400 | { return result_type(0); } | |
5401 | ||
5402 | /** | |
5403 | * @brief Returns the least upper bound value of the distribution. | |
5404 | */ | |
5405 | result_type | |
5406 | max() const | |
879b9073 PC |
5407 | { |
5408 | return _M_param._M_prob.empty() | |
5409 | ? result_type(0) : result_type(_M_param._M_prob.size() - 1); | |
5410 | } | |
8e79468d | 5411 | |
247d8075 PC |
5412 | /** |
5413 | * @brief Generating functions. | |
5414 | */ | |
8e79468d BK |
5415 | template<typename _UniformRandomNumberGenerator> |
5416 | result_type | |
5417 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5418 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5419 | |
5420 | template<typename _UniformRandomNumberGenerator> | |
5421 | result_type | |
5422 | operator()(_UniformRandomNumberGenerator& __urng, | |
5423 | const param_type& __p); | |
5424 | ||
7b93bdde UD |
5425 | template<typename _ForwardIterator, |
5426 | typename _UniformRandomNumberGenerator> | |
5427 | void | |
5428 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5429 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5430 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5431 | |
5432 | template<typename _ForwardIterator, | |
5433 | typename _UniformRandomNumberGenerator> | |
5434 | void | |
5435 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5436 | _UniformRandomNumberGenerator& __urng, | |
5437 | const param_type& __p) | |
5438 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5439 | ||
5440 | template<typename _UniformRandomNumberGenerator> | |
5441 | void | |
5442 | __generate(result_type* __f, result_type* __t, | |
5443 | _UniformRandomNumberGenerator& __urng, | |
5444 | const param_type& __p) | |
5445 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5446 | ||
5bcb3b4d PC |
5447 | /** |
5448 | * @brief Return true if two discrete distributions have the same | |
5449 | * parameters. | |
5450 | */ | |
5451 | friend bool | |
5452 | operator==(const discrete_distribution& __d1, | |
5453 | const discrete_distribution& __d2) | |
5454 | { return __d1._M_param == __d2._M_param; } | |
5455 | ||
8e79468d BK |
5456 | /** |
5457 | * @brief Inserts a %discrete_distribution random number distribution | |
5458 | * @p __x into the output stream @p __os. | |
5459 | * | |
5460 | * @param __os An output stream. | |
5461 | * @param __x A %discrete_distribution random number distribution. | |
5462 | * | |
5463 | * @returns The output stream with the state of @p __x inserted or in | |
5464 | * an error state. | |
5465 | */ | |
5466 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5467 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5468 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5469 | const std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5470 | |
5471 | /** | |
5472 | * @brief Extracts a %discrete_distribution random number distribution | |
5473 | * @p __x from the input stream @p __is. | |
5474 | * | |
5475 | * @param __is An input stream. | |
5476 | * @param __x A %discrete_distribution random number | |
5477 | * generator engine. | |
5478 | * | |
5479 | * @returns The input stream with @p __x extracted or in an error | |
5480 | * state. | |
5481 | */ | |
5482 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5483 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5484 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5485 | std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5486 | |
5487 | private: | |
7b93bdde UD |
5488 | template<typename _ForwardIterator, |
5489 | typename _UniformRandomNumberGenerator> | |
5490 | void | |
5491 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5492 | _UniformRandomNumberGenerator& __urng, | |
5493 | const param_type& __p); | |
5494 | ||
8e79468d BK |
5495 | param_type _M_param; |
5496 | }; | |
5497 | ||
fc05e1ba PC |
5498 | /** |
5499 | * @brief Return true if two discrete distributions have different | |
5500 | * parameters. | |
5501 | */ | |
5502 | template<typename _IntType> | |
5503 | inline bool | |
5504 | operator!=(const std::discrete_distribution<_IntType>& __d1, | |
5505 | const std::discrete_distribution<_IntType>& __d2) | |
5506 | { return !(__d1 == __d2); } | |
5507 | ||
8e79468d BK |
5508 | |
5509 | /** | |
5510 | * @brief A piecewise_constant_distribution random number distribution. | |
5511 | * | |
5512 | * The formula for the piecewise constant probability mass function is | |
5513 | * | |
5514 | */ | |
5515 | template<typename _RealType = double> | |
5516 | class piecewise_constant_distribution | |
5517 | { | |
77e3c516 | 5518 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5519 | "result_type must be a floating point type"); |
77e3c516 | 5520 | |
8e79468d BK |
5521 | public: |
5522 | /** The type of the range of the distribution. */ | |
5523 | typedef _RealType result_type; | |
12905f10 | 5524 | |
8e79468d BK |
5525 | /** Parameter type. */ |
5526 | struct param_type | |
5527 | { | |
5528 | typedef piecewise_constant_distribution<_RealType> distribution_type; | |
5529 | friend class piecewise_constant_distribution<_RealType>; | |
5530 | ||
b01630bb | 5531 | param_type() |
879b9073 PC |
5532 | : _M_int(), _M_den(), _M_cp() |
5533 | { } | |
8e79468d BK |
5534 | |
5535 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5536 | param_type(_InputIteratorB __bfirst, | |
5537 | _InputIteratorB __bend, | |
5538 | _InputIteratorW __wbegin); | |
5539 | ||
5540 | template<typename _Func> | |
f8dd9e0d | 5541 | param_type(initializer_list<_RealType> __bi, _Func __fw); |
8e79468d BK |
5542 | |
5543 | template<typename _Func> | |
5544 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5545 | _Func __fw); | |
5546 | ||
ce9555cb PC |
5547 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5548 | param_type(const param_type&) = default; | |
5549 | param_type& operator=(const param_type&) = default; | |
5550 | ||
8e79468d BK |
5551 | std::vector<_RealType> |
5552 | intervals() const | |
879b9073 PC |
5553 | { |
5554 | if (_M_int.empty()) | |
5555 | { | |
5556 | std::vector<_RealType> __tmp(2); | |
5557 | __tmp[1] = _RealType(1); | |
5558 | return __tmp; | |
5559 | } | |
5560 | else | |
5561 | return _M_int; | |
5562 | } | |
8e79468d BK |
5563 | |
5564 | std::vector<double> | |
5565 | densities() const | |
879b9073 | 5566 | { return _M_den.empty() ? std::vector<double>(1, 1.0) : _M_den; } |
8e79468d | 5567 | |
fc05e1ba PC |
5568 | friend bool |
5569 | operator==(const param_type& __p1, const param_type& __p2) | |
5570 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } | |
5571 | ||
12905f10 JW |
5572 | friend bool |
5573 | operator!=(const param_type& __p1, const param_type& __p2) | |
5574 | { return !(__p1 == __p2); } | |
5575 | ||
8e79468d BK |
5576 | private: |
5577 | void | |
5578 | _M_initialize(); | |
5579 | ||
5580 | std::vector<_RealType> _M_int; | |
5581 | std::vector<double> _M_den; | |
5582 | std::vector<double> _M_cp; | |
5583 | }; | |
5584 | ||
8e79468d BK |
5585 | piecewise_constant_distribution() |
5586 | : _M_param() | |
5587 | { } | |
5588 | ||
5589 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5590 | piecewise_constant_distribution(_InputIteratorB __bfirst, | |
5591 | _InputIteratorB __bend, | |
5592 | _InputIteratorW __wbegin) | |
5593 | : _M_param(__bfirst, __bend, __wbegin) | |
5594 | { } | |
5595 | ||
5596 | template<typename _Func> | |
f8dd9e0d | 5597 | piecewise_constant_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5598 | _Func __fw) |
f8dd9e0d | 5599 | : _M_param(__bl, __fw) |
8e79468d BK |
5600 | { } |
5601 | ||
5602 | template<typename _Func> | |
5603 | piecewise_constant_distribution(size_t __nw, | |
5604 | _RealType __xmin, _RealType __xmax, | |
5605 | _Func __fw) | |
5606 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5607 | { } | |
5608 | ||
5609 | explicit | |
5610 | piecewise_constant_distribution(const param_type& __p) | |
5611 | : _M_param(__p) | |
5612 | { } | |
5613 | ||
5614 | /** | |
5615 | * @brief Resets the distribution state. | |
5616 | */ | |
5617 | void | |
5618 | reset() | |
5619 | { } | |
5620 | ||
5621 | /** | |
5622 | * @brief Returns a vector of the intervals. | |
5623 | */ | |
5624 | std::vector<_RealType> | |
5625 | intervals() const | |
879b9073 PC |
5626 | { |
5627 | if (_M_param._M_int.empty()) | |
5628 | { | |
5629 | std::vector<_RealType> __tmp(2); | |
5630 | __tmp[1] = _RealType(1); | |
5631 | return __tmp; | |
5632 | } | |
5633 | else | |
5634 | return _M_param._M_int; | |
5635 | } | |
8e79468d BK |
5636 | |
5637 | /** | |
5638 | * @brief Returns a vector of the probability densities. | |
5639 | */ | |
5640 | std::vector<double> | |
5641 | densities() const | |
879b9073 PC |
5642 | { |
5643 | return _M_param._M_den.empty() | |
5644 | ? std::vector<double>(1, 1.0) : _M_param._M_den; | |
5645 | } | |
8e79468d BK |
5646 | |
5647 | /** | |
5648 | * @brief Returns the parameter set of the distribution. | |
5649 | */ | |
5650 | param_type | |
5651 | param() const | |
5652 | { return _M_param; } | |
5653 | ||
5654 | /** | |
5655 | * @brief Sets the parameter set of the distribution. | |
5656 | * @param __param The new parameter set of the distribution. | |
5657 | */ | |
5658 | void | |
5659 | param(const param_type& __param) | |
5660 | { _M_param = __param; } | |
5661 | ||
5662 | /** | |
5663 | * @brief Returns the greatest lower bound value of the distribution. | |
5664 | */ | |
5665 | result_type | |
5666 | min() const | |
879b9073 PC |
5667 | { |
5668 | return _M_param._M_int.empty() | |
5669 | ? result_type(0) : _M_param._M_int.front(); | |
5670 | } | |
8e79468d BK |
5671 | |
5672 | /** | |
5673 | * @brief Returns the least upper bound value of the distribution. | |
5674 | */ | |
5675 | result_type | |
5676 | max() const | |
879b9073 PC |
5677 | { |
5678 | return _M_param._M_int.empty() | |
5679 | ? result_type(1) : _M_param._M_int.back(); | |
5680 | } | |
8e79468d | 5681 | |
247d8075 PC |
5682 | /** |
5683 | * @brief Generating functions. | |
5684 | */ | |
8e79468d BK |
5685 | template<typename _UniformRandomNumberGenerator> |
5686 | result_type | |
5687 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5688 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5689 | |
5690 | template<typename _UniformRandomNumberGenerator> | |
5691 | result_type | |
5692 | operator()(_UniformRandomNumberGenerator& __urng, | |
5693 | const param_type& __p); | |
5694 | ||
7b93bdde UD |
5695 | template<typename _ForwardIterator, |
5696 | typename _UniformRandomNumberGenerator> | |
5697 | void | |
5698 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5699 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5700 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5701 | |
5702 | template<typename _ForwardIterator, | |
5703 | typename _UniformRandomNumberGenerator> | |
5704 | void | |
5705 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5706 | _UniformRandomNumberGenerator& __urng, | |
5707 | const param_type& __p) | |
5708 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5709 | ||
5710 | template<typename _UniformRandomNumberGenerator> | |
5711 | void | |
5712 | __generate(result_type* __f, result_type* __t, | |
5713 | _UniformRandomNumberGenerator& __urng, | |
5714 | const param_type& __p) | |
5715 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5716 | ||
5bcb3b4d PC |
5717 | /** |
5718 | * @brief Return true if two piecewise constant distributions have the | |
5719 | * same parameters. | |
5720 | */ | |
5721 | friend bool | |
5722 | operator==(const piecewise_constant_distribution& __d1, | |
5723 | const piecewise_constant_distribution& __d2) | |
5724 | { return __d1._M_param == __d2._M_param; } | |
5725 | ||
8e79468d | 5726 | /** |
64e1ab11 | 5727 | * @brief Inserts a %piecewise_constant_distribution random |
8e79468d BK |
5728 | * number distribution @p __x into the output stream @p __os. |
5729 | * | |
5730 | * @param __os An output stream. | |
64e1ab11 | 5731 | * @param __x A %piecewise_constant_distribution random number |
8e79468d BK |
5732 | * distribution. |
5733 | * | |
5734 | * @returns The output stream with the state of @p __x inserted or in | |
5735 | * an error state. | |
5736 | */ | |
5737 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5738 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5739 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5740 | const std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5741 | |
5742 | /** | |
64e1ab11 | 5743 | * @brief Extracts a %piecewise_constant_distribution random |
8e79468d BK |
5744 | * number distribution @p __x from the input stream @p __is. |
5745 | * | |
5746 | * @param __is An input stream. | |
64e1ab11 | 5747 | * @param __x A %piecewise_constant_distribution random number |
8e79468d BK |
5748 | * generator engine. |
5749 | * | |
5750 | * @returns The input stream with @p __x extracted or in an error | |
5751 | * state. | |
5752 | */ | |
5753 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5754 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5755 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5756 | std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5757 | |
5758 | private: | |
7b93bdde UD |
5759 | template<typename _ForwardIterator, |
5760 | typename _UniformRandomNumberGenerator> | |
5761 | void | |
5762 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5763 | _UniformRandomNumberGenerator& __urng, | |
5764 | const param_type& __p); | |
5765 | ||
8e79468d BK |
5766 | param_type _M_param; |
5767 | }; | |
5768 | ||
fc05e1ba PC |
5769 | /** |
5770 | * @brief Return true if two piecewise constant distributions have | |
5771 | * different parameters. | |
5772 | */ | |
5773 | template<typename _RealType> | |
5774 | inline bool | |
5775 | operator!=(const std::piecewise_constant_distribution<_RealType>& __d1, | |
5776 | const std::piecewise_constant_distribution<_RealType>& __d2) | |
5777 | { return !(__d1 == __d2); } | |
5778 | ||
8e79468d BK |
5779 | |
5780 | /** | |
5781 | * @brief A piecewise_linear_distribution random number distribution. | |
5782 | * | |
5783 | * The formula for the piecewise linear probability mass function is | |
5784 | * | |
5785 | */ | |
5786 | template<typename _RealType = double> | |
5787 | class piecewise_linear_distribution | |
5788 | { | |
77e3c516 | 5789 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5790 | "result_type must be a floating point type"); |
77e3c516 | 5791 | |
8e79468d BK |
5792 | public: |
5793 | /** The type of the range of the distribution. */ | |
5794 | typedef _RealType result_type; | |
12905f10 | 5795 | |
8e79468d BK |
5796 | /** Parameter type. */ |
5797 | struct param_type | |
5798 | { | |
5799 | typedef piecewise_linear_distribution<_RealType> distribution_type; | |
5800 | friend class piecewise_linear_distribution<_RealType>; | |
5801 | ||
f8dd9e0d | 5802 | param_type() |
879b9073 PC |
5803 | : _M_int(), _M_den(), _M_cp(), _M_m() |
5804 | { } | |
8e79468d BK |
5805 | |
5806 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5807 | param_type(_InputIteratorB __bfirst, | |
5808 | _InputIteratorB __bend, | |
5809 | _InputIteratorW __wbegin); | |
5810 | ||
5811 | template<typename _Func> | |
f8dd9e0d | 5812 | param_type(initializer_list<_RealType> __bl, _Func __fw); |
8e79468d BK |
5813 | |
5814 | template<typename _Func> | |
5815 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5816 | _Func __fw); | |
5817 | ||
ce9555cb PC |
5818 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5819 | param_type(const param_type&) = default; | |
5820 | param_type& operator=(const param_type&) = default; | |
5821 | ||
8e79468d BK |
5822 | std::vector<_RealType> |
5823 | intervals() const | |
879b9073 PC |
5824 | { |
5825 | if (_M_int.empty()) | |
5826 | { | |
5827 | std::vector<_RealType> __tmp(2); | |
5828 | __tmp[1] = _RealType(1); | |
5829 | return __tmp; | |
5830 | } | |
5831 | else | |
5832 | return _M_int; | |
5833 | } | |
8e79468d BK |
5834 | |
5835 | std::vector<double> | |
5836 | densities() const | |
879b9073 | 5837 | { return _M_den.empty() ? std::vector<double>(2, 1.0) : _M_den; } |
8e79468d | 5838 | |
fc05e1ba PC |
5839 | friend bool |
5840 | operator==(const param_type& __p1, const param_type& __p2) | |
12905f10 JW |
5841 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } |
5842 | ||
5843 | friend bool | |
5844 | operator!=(const param_type& __p1, const param_type& __p2) | |
5845 | { return !(__p1 == __p2); } | |
fc05e1ba | 5846 | |
8e79468d BK |
5847 | private: |
5848 | void | |
5849 | _M_initialize(); | |
5850 | ||
5851 | std::vector<_RealType> _M_int; | |
5852 | std::vector<double> _M_den; | |
5853 | std::vector<double> _M_cp; | |
5854 | std::vector<double> _M_m; | |
5855 | }; | |
5856 | ||
8e79468d BK |
5857 | piecewise_linear_distribution() |
5858 | : _M_param() | |
5859 | { } | |
5860 | ||
5861 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5862 | piecewise_linear_distribution(_InputIteratorB __bfirst, | |
5863 | _InputIteratorB __bend, | |
5864 | _InputIteratorW __wbegin) | |
5865 | : _M_param(__bfirst, __bend, __wbegin) | |
5866 | { } | |
5867 | ||
5868 | template<typename _Func> | |
f8dd9e0d | 5869 | piecewise_linear_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5870 | _Func __fw) |
f8dd9e0d | 5871 | : _M_param(__bl, __fw) |
8e79468d BK |
5872 | { } |
5873 | ||
5874 | template<typename _Func> | |
5875 | piecewise_linear_distribution(size_t __nw, | |
5876 | _RealType __xmin, _RealType __xmax, | |
5877 | _Func __fw) | |
5878 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5879 | { } | |
5880 | ||
5881 | explicit | |
5882 | piecewise_linear_distribution(const param_type& __p) | |
5883 | : _M_param(__p) | |
5884 | { } | |
5885 | ||
5886 | /** | |
5887 | * Resets the distribution state. | |
5888 | */ | |
5889 | void | |
5890 | reset() | |
5891 | { } | |
5892 | ||
5893 | /** | |
5894 | * @brief Return the intervals of the distribution. | |
5895 | */ | |
5896 | std::vector<_RealType> | |
5897 | intervals() const | |
879b9073 PC |
5898 | { |
5899 | if (_M_param._M_int.empty()) | |
5900 | { | |
5901 | std::vector<_RealType> __tmp(2); | |
5902 | __tmp[1] = _RealType(1); | |
5903 | return __tmp; | |
5904 | } | |
5905 | else | |
5906 | return _M_param._M_int; | |
5907 | } | |
8e79468d BK |
5908 | |
5909 | /** | |
5910 | * @brief Return a vector of the probability densities of the | |
5911 | * distribution. | |
5912 | */ | |
5913 | std::vector<double> | |
5914 | densities() const | |
879b9073 PC |
5915 | { |
5916 | return _M_param._M_den.empty() | |
5917 | ? std::vector<double>(2, 1.0) : _M_param._M_den; | |
5918 | } | |
8e79468d BK |
5919 | |
5920 | /** | |
5921 | * @brief Returns the parameter set of the distribution. | |
5922 | */ | |
5923 | param_type | |
5924 | param() const | |
5925 | { return _M_param; } | |
5926 | ||
5927 | /** | |
5928 | * @brief Sets the parameter set of the distribution. | |
5929 | * @param __param The new parameter set of the distribution. | |
5930 | */ | |
5931 | void | |
5932 | param(const param_type& __param) | |
5933 | { _M_param = __param; } | |
5934 | ||
5935 | /** | |
5936 | * @brief Returns the greatest lower bound value of the distribution. | |
5937 | */ | |
5938 | result_type | |
5939 | min() const | |
879b9073 PC |
5940 | { |
5941 | return _M_param._M_int.empty() | |
5942 | ? result_type(0) : _M_param._M_int.front(); | |
5943 | } | |
8e79468d BK |
5944 | |
5945 | /** | |
5946 | * @brief Returns the least upper bound value of the distribution. | |
5947 | */ | |
5948 | result_type | |
5949 | max() const | |
879b9073 PC |
5950 | { |
5951 | return _M_param._M_int.empty() | |
5952 | ? result_type(1) : _M_param._M_int.back(); | |
5953 | } | |
8e79468d | 5954 | |
247d8075 PC |
5955 | /** |
5956 | * @brief Generating functions. | |
5957 | */ | |
8e79468d BK |
5958 | template<typename _UniformRandomNumberGenerator> |
5959 | result_type | |
5960 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5961 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5962 | |
5963 | template<typename _UniformRandomNumberGenerator> | |
5964 | result_type | |
5965 | operator()(_UniformRandomNumberGenerator& __urng, | |
5966 | const param_type& __p); | |
5967 | ||
7b93bdde UD |
5968 | template<typename _ForwardIterator, |
5969 | typename _UniformRandomNumberGenerator> | |
5970 | void | |
5971 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5972 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5973 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5974 | |
5975 | template<typename _ForwardIterator, | |
5976 | typename _UniformRandomNumberGenerator> | |
5977 | void | |
5978 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5979 | _UniformRandomNumberGenerator& __urng, | |
5980 | const param_type& __p) | |
5981 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5982 | ||
5983 | template<typename _UniformRandomNumberGenerator> | |
5984 | void | |
5985 | __generate(result_type* __f, result_type* __t, | |
5986 | _UniformRandomNumberGenerator& __urng, | |
5987 | const param_type& __p) | |
5988 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5989 | ||
5bcb3b4d PC |
5990 | /** |
5991 | * @brief Return true if two piecewise linear distributions have the | |
5992 | * same parameters. | |
5993 | */ | |
5994 | friend bool | |
5995 | operator==(const piecewise_linear_distribution& __d1, | |
5996 | const piecewise_linear_distribution& __d2) | |
5997 | { return __d1._M_param == __d2._M_param; } | |
5998 | ||
8e79468d BK |
5999 | /** |
6000 | * @brief Inserts a %piecewise_linear_distribution random number | |
6001 | * distribution @p __x into the output stream @p __os. | |
6002 | * | |
6003 | * @param __os An output stream. | |
6004 | * @param __x A %piecewise_linear_distribution random number | |
6005 | * distribution. | |
6006 | * | |
6007 | * @returns The output stream with the state of @p __x inserted or in | |
6008 | * an error state. | |
6009 | */ | |
6010 | template<typename _RealType1, typename _CharT, typename _Traits> | |
6011 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
6012 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
6013 | const std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
6014 | |
6015 | /** | |
6016 | * @brief Extracts a %piecewise_linear_distribution random number | |
6017 | * distribution @p __x from the input stream @p __is. | |
6018 | * | |
6019 | * @param __is An input stream. | |
6020 | * @param __x A %piecewise_linear_distribution random number | |
6021 | * generator engine. | |
6022 | * | |
6023 | * @returns The input stream with @p __x extracted or in an error | |
6024 | * state. | |
6025 | */ | |
6026 | template<typename _RealType1, typename _CharT, typename _Traits> | |
6027 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
6028 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
6029 | std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
6030 | |
6031 | private: | |
7b93bdde UD |
6032 | template<typename _ForwardIterator, |
6033 | typename _UniformRandomNumberGenerator> | |
6034 | void | |
6035 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
6036 | _UniformRandomNumberGenerator& __urng, | |
6037 | const param_type& __p); | |
6038 | ||
8e79468d BK |
6039 | param_type _M_param; |
6040 | }; | |
6041 | ||
fc05e1ba PC |
6042 | /** |
6043 | * @brief Return true if two piecewise linear distributions have | |
6044 | * different parameters. | |
6045 | */ | |
6046 | template<typename _RealType> | |
6047 | inline bool | |
6048 | operator!=(const std::piecewise_linear_distribution<_RealType>& __d1, | |
6049 | const std::piecewise_linear_distribution<_RealType>& __d2) | |
6050 | { return !(__d1 == __d2); } | |
6051 | ||
8e79468d | 6052 | |
037181bc | 6053 | /* @} */ // group random_distributions_poisson |
8e79468d | 6054 | |
037181bc | 6055 | /* @} */ // group random_distributions |
8e79468d BK |
6056 | |
6057 | /** | |
037181bc BK |
6058 | * @addtogroup random_utilities Random Number Utilities |
6059 | * @ingroup random | |
8e79468d BK |
6060 | * @{ |
6061 | */ | |
6062 | ||
6063 | /** | |
6064 | * @brief The seed_seq class generates sequences of seeds for random | |
6065 | * number generators. | |
6066 | */ | |
6067 | class seed_seq | |
6068 | { | |
8e79468d BK |
6069 | public: |
6070 | /** The type of the seed vales. */ | |
6071 | typedef uint_least32_t result_type; | |
6072 | ||
6073 | /** Default constructor. */ | |
9933eb86 | 6074 | seed_seq() noexcept |
8e79468d BK |
6075 | : _M_v() |
6076 | { } | |
6077 | ||
6078 | template<typename _IntType> | |
6079 | seed_seq(std::initializer_list<_IntType> il); | |
6080 | ||
6081 | template<typename _InputIterator> | |
6082 | seed_seq(_InputIterator __begin, _InputIterator __end); | |
6083 | ||
6084 | // generating functions | |
6085 | template<typename _RandomAccessIterator> | |
6086 | void | |
6087 | generate(_RandomAccessIterator __begin, _RandomAccessIterator __end); | |
6088 | ||
6089 | // property functions | |
9933eb86 | 6090 | size_t size() const noexcept |
8e79468d BK |
6091 | { return _M_v.size(); } |
6092 | ||
593cda3e | 6093 | template<typename _OutputIterator> |
8e79468d | 6094 | void |
593cda3e | 6095 | param(_OutputIterator __dest) const |
8e79468d BK |
6096 | { std::copy(_M_v.begin(), _M_v.end(), __dest); } |
6097 | ||
d747ee05 JW |
6098 | // no copy functions |
6099 | seed_seq(const seed_seq&) = delete; | |
6100 | seed_seq& operator=(const seed_seq&) = delete; | |
6101 | ||
8e79468d | 6102 | private: |
94986f6d | 6103 | std::vector<result_type> _M_v; |
8e79468d BK |
6104 | }; |
6105 | ||
037181bc | 6106 | /* @} */ // group random_utilities |
8e79468d | 6107 | |
037181bc | 6108 | /* @} */ // group random |
12ffa228 BK |
6109 | |
6110 | _GLIBCXX_END_NAMESPACE_VERSION | |
6111 | } // namespace std | |
8e79468d | 6112 | |
06f29237 | 6113 | #endif |