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8e79468d BK |
1 | // random number generation -*- C++ -*- |
2 | ||
7adcbafe | 3 | // Copyright (C) 2009-2022 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> |
8e79468d | 36 | |
12ffa228 BK |
37 | namespace std _GLIBCXX_VISIBILITY(default) |
38 | { | |
39 | _GLIBCXX_BEGIN_NAMESPACE_VERSION | |
53dc5044 | 40 | |
8e79468d BK |
41 | // [26.4] Random number generation |
42 | ||
43 | /** | |
037181bc BK |
44 | * @defgroup random Random Number Generation |
45 | * @ingroup numerics | |
46 | * | |
8e79468d BK |
47 | * A facility for generating random numbers on selected distributions. |
48 | * @{ | |
49 | */ | |
50 | ||
9cd4eeef | 51 | // std::uniform_random_bit_generator is defined in <bits/uniform_int_dist.h> |
bbf0495d | 52 | |
8e79468d BK |
53 | /** |
54 | * @brief A function template for converting the output of a (integral) | |
55 | * uniform random number generator to a floatng point result in the range | |
56 | * [0-1). | |
57 | */ | |
58 | template<typename _RealType, size_t __bits, | |
59 | typename _UniformRandomNumberGenerator> | |
60 | _RealType | |
61 | generate_canonical(_UniformRandomNumberGenerator& __g); | |
62 | ||
6963c3b9 JW |
63 | /// @cond undocumented |
64 | // Implementation-space details. | |
8e79468d BK |
65 | namespace __detail |
66 | { | |
67 | template<typename _UIntType, size_t __w, | |
95fe602e PC |
68 | bool = __w < static_cast<size_t> |
69 | (std::numeric_limits<_UIntType>::digits)> | |
8e79468d | 70 | struct _Shift |
95891ca0 | 71 | { static constexpr _UIntType __value = 0; }; |
8e79468d BK |
72 | |
73 | template<typename _UIntType, size_t __w> | |
74 | struct _Shift<_UIntType, __w, true> | |
95891ca0 | 75 | { static constexpr _UIntType __value = _UIntType(1) << __w; }; |
8e79468d | 76 | |
cf48c255 MG |
77 | template<int __s, |
78 | int __which = ((__s <= __CHAR_BIT__ * sizeof (int)) | |
79 | + (__s <= __CHAR_BIT__ * sizeof (long)) | |
80 | + (__s <= __CHAR_BIT__ * sizeof (long long)) | |
81 | /* assume long long no bigger than __int128 */ | |
82 | + (__s <= 128))> | |
83 | struct _Select_uint_least_t | |
84 | { | |
85 | static_assert(__which < 0, /* needs to be dependent */ | |
86 | "sorry, would be too much trouble for a slow result"); | |
87 | }; | |
88 | ||
89 | template<int __s> | |
90 | struct _Select_uint_least_t<__s, 4> | |
95891ca0 | 91 | { using type = unsigned int; }; |
cf48c255 MG |
92 | |
93 | template<int __s> | |
94 | struct _Select_uint_least_t<__s, 3> | |
95891ca0 | 95 | { using type = unsigned long; }; |
cf48c255 MG |
96 | |
97 | template<int __s> | |
98 | struct _Select_uint_least_t<__s, 2> | |
95891ca0 | 99 | { using type = unsigned long long; }; |
cf48c255 | 100 | |
ad0a3be4 | 101 | #if __SIZEOF_INT128__ > __SIZEOF_LONG_LONG__ |
cf48c255 MG |
102 | template<int __s> |
103 | struct _Select_uint_least_t<__s, 1> | |
95891ca0 | 104 | { __extension__ using type = unsigned __int128; }; |
cf48c255 MG |
105 | #endif |
106 | ||
107 | // Assume a != 0, a < m, c < m, x < m. | |
108 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c, | |
109 | bool __big_enough = (!(__m & (__m - 1)) | |
110 | || (_Tp(-1) - __c) / __a >= __m - 1), | |
c06617a7 | 111 | bool __schrage_ok = __m % __a < __m / __a> |
cf48c255 MG |
112 | struct _Mod |
113 | { | |
cf48c255 MG |
114 | static _Tp |
115 | __calc(_Tp __x) | |
95891ca0 JW |
116 | { |
117 | using _Tp2 | |
118 | = typename _Select_uint_least_t<std::__lg(__a) | |
119 | + std::__lg(__m) + 2>::type; | |
120 | return static_cast<_Tp>((_Tp2(__a) * __x + __c) % __m); | |
121 | } | |
cf48c255 MG |
122 | }; |
123 | ||
124 | // Schrage. | |
125 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c> | |
126 | struct _Mod<_Tp, __m, __a, __c, false, true> | |
127 | { | |
128 | static _Tp | |
129 | __calc(_Tp __x); | |
130 | }; | |
131 | ||
132 | // Special cases: | |
133 | // - for m == 2^n or m == 0, unsigned integer overflow is safe. | |
134 | // - a * (m - 1) + c fits in _Tp, there is no overflow. | |
135 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c, bool __s> | |
136 | struct _Mod<_Tp, __m, __a, __c, true, __s> | |
137 | { | |
138 | static _Tp | |
139 | __calc(_Tp __x) | |
140 | { | |
141 | _Tp __res = __a * __x + __c; | |
142 | if (__m) | |
143 | __res %= __m; | |
144 | return __res; | |
145 | } | |
146 | }; | |
8e79468d | 147 | |
b94f4bef | 148 | template<typename _Tp, _Tp __m, _Tp __a = 1, _Tp __c = 0> |
8e79468d BK |
149 | inline _Tp |
150 | __mod(_Tp __x) | |
c06617a7 JW |
151 | { |
152 | if _GLIBCXX17_CONSTEXPR (__a == 0) | |
153 | return __c; | |
154 | else | |
155 | { | |
156 | // _Mod must not be instantiated with a == 0 | |
157 | constexpr _Tp __a1 = __a ? __a : 1; | |
158 | return _Mod<_Tp, __m, __a1, __c>::__calc(__x); | |
159 | } | |
160 | } | |
8e79468d BK |
161 | |
162 | /* | |
163 | * An adaptor class for converting the output of any Generator into | |
164 | * the input for a specific Distribution. | |
165 | */ | |
166 | template<typename _Engine, typename _DInputType> | |
167 | struct _Adaptor | |
168 | { | |
1c4ff014 | 169 | static_assert(std::is_floating_point<_DInputType>::value, |
0cded43d | 170 | "template argument must be a floating point type"); |
8e79468d BK |
171 | |
172 | public: | |
173 | _Adaptor(_Engine& __g) | |
174 | : _M_g(__g) { } | |
175 | ||
176 | _DInputType | |
177 | min() const | |
9b88236b | 178 | { return _DInputType(0); } |
8e79468d BK |
179 | |
180 | _DInputType | |
181 | max() const | |
9b88236b | 182 | { return _DInputType(1); } |
8e79468d BK |
183 | |
184 | /* | |
185 | * Converts a value generated by the adapted random number generator | |
186 | * into a value in the input domain for the dependent random number | |
187 | * distribution. | |
8e79468d BK |
188 | */ |
189 | _DInputType | |
190 | operator()() | |
191 | { | |
9b88236b PC |
192 | return std::generate_canonical<_DInputType, |
193 | std::numeric_limits<_DInputType>::digits, | |
194 | _Engine>(_M_g); | |
8e79468d BK |
195 | } |
196 | ||
197 | private: | |
198 | _Engine& _M_g; | |
199 | }; | |
12ffa228 | 200 | |
5a7960da JW |
201 | template<typename _Sseq> |
202 | using __seed_seq_generate_t = decltype( | |
203 | std::declval<_Sseq&>().generate(std::declval<uint_least32_t*>(), | |
204 | std::declval<uint_least32_t*>())); | |
205 | ||
206 | // Detect whether _Sseq is a valid seed sequence for | |
207 | // a random number engine _Engine with result type _Res. | |
208 | template<typename _Sseq, typename _Engine, typename _Res, | |
209 | typename _GenerateCheck = __seed_seq_generate_t<_Sseq>> | |
210 | using __is_seed_seq = __and_< | |
211 | __not_<is_same<__remove_cvref_t<_Sseq>, _Engine>>, | |
212 | is_unsigned<typename _Sseq::result_type>, | |
213 | __not_<is_convertible<_Sseq, _Res>> | |
214 | >; | |
215 | ||
8e79468d | 216 | } // namespace __detail |
6963c3b9 | 217 | /// @endcond |
8e79468d BK |
218 | |
219 | /** | |
037181bc BK |
220 | * @addtogroup random_generators Random Number Generators |
221 | * @ingroup random | |
8e79468d BK |
222 | * |
223 | * These classes define objects which provide random or pseudorandom | |
224 | * numbers, either from a discrete or a continuous interval. The | |
225 | * random number generator supplied as a part of this library are | |
226 | * all uniform random number generators which provide a sequence of | |
227 | * random number uniformly distributed over their range. | |
228 | * | |
229 | * A number generator is a function object with an operator() that | |
230 | * takes zero arguments and returns a number. | |
231 | * | |
232 | * A compliant random number generator must satisfy the following | |
233 | * requirements. <table border=1 cellpadding=10 cellspacing=0> | |
234 | * <caption align=top>Random Number Generator Requirements</caption> | |
235 | * <tr><td>To be documented.</td></tr> </table> | |
236 | * | |
237 | * @{ | |
238 | */ | |
239 | ||
240 | /** | |
241 | * @brief A model of a linear congruential random number generator. | |
242 | * | |
6cc5a790 BK |
243 | * A random number generator that produces pseudorandom numbers via |
244 | * linear function: | |
245 | * @f[ | |
246 | * x_{i+1}\leftarrow(ax_{i} + c) \bmod m | |
247 | * @f] | |
8e79468d BK |
248 | * |
249 | * The template parameter @p _UIntType must be an unsigned integral type | |
250 | * large enough to store values up to (__m-1). If the template parameter | |
251 | * @p __m is 0, the modulus @p __m used is | |
252 | * std::numeric_limits<_UIntType>::max() plus 1. Otherwise, the template | |
253 | * parameters @p __a and @p __c must be less than @p __m. | |
254 | * | |
6cc5a790 | 255 | * The size of the state is @f$1@f$. |
8e79468d BK |
256 | */ |
257 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
258 | class linear_congruential_engine | |
259 | { | |
0cded43d JW |
260 | static_assert(std::is_unsigned<_UIntType>::value, |
261 | "result_type must be an unsigned integral type"); | |
77e3c516 | 262 | static_assert(__m == 0u || (__a < __m && __c < __m), |
f6d08b43 | 263 | "template argument substituting __m out of bounds"); |
8e79468d | 264 | |
5a7960da JW |
265 | template<typename _Sseq> |
266 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
267 | _Sseq, linear_congruential_engine, _UIntType>::value>::type; | |
268 | ||
8e79468d BK |
269 | public: |
270 | /** The type of the generated random value. */ | |
271 | typedef _UIntType result_type; | |
272 | ||
273 | /** The multiplier. */ | |
94a86be0 | 274 | static constexpr result_type multiplier = __a; |
8e79468d | 275 | /** An increment. */ |
94a86be0 | 276 | static constexpr result_type increment = __c; |
8e79468d | 277 | /** The modulus. */ |
94a86be0 BK |
278 | static constexpr result_type modulus = __m; |
279 | static constexpr result_type default_seed = 1u; | |
8e79468d | 280 | |
dd9db6f8 JW |
281 | /** |
282 | * @brief Constructs a %linear_congruential_engine random number | |
283 | * generator engine with seed 1. | |
284 | */ | |
285 | linear_congruential_engine() : linear_congruential_engine(default_seed) | |
286 | { } | |
287 | ||
8e79468d BK |
288 | /** |
289 | * @brief Constructs a %linear_congruential_engine random number | |
290 | * generator engine with seed @p __s. The default seed value | |
291 | * is 1. | |
292 | * | |
293 | * @param __s The initial seed value. | |
294 | */ | |
295 | explicit | |
dd9db6f8 | 296 | linear_congruential_engine(result_type __s) |
15ecdcc6 | 297 | { seed(__s); } |
8e79468d BK |
298 | |
299 | /** | |
300 | * @brief Constructs a %linear_congruential_engine random number | |
301 | * generator engine seeded from the seed sequence @p __q. | |
302 | * | |
303 | * @param __q the seed sequence. | |
304 | */ | |
5a7960da | 305 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
306 | explicit |
307 | linear_congruential_engine(_Sseq& __q) | |
05eeebfe | 308 | { seed(__q); } |
8e79468d BK |
309 | |
310 | /** | |
311 | * @brief Reseeds the %linear_congruential_engine random number generator | |
04b70271 | 312 | * engine sequence to the seed @p __s. |
8e79468d BK |
313 | * |
314 | * @param __s The new seed. | |
315 | */ | |
316 | void | |
317 | seed(result_type __s = default_seed); | |
318 | ||
319 | /** | |
320 | * @brief Reseeds the %linear_congruential_engine random number generator | |
321 | * engine | |
322 | * sequence using values from the seed sequence @p __q. | |
323 | * | |
324 | * @param __q the seed sequence. | |
325 | */ | |
05eeebfe | 326 | template<typename _Sseq> |
5a7960da | 327 | _If_seed_seq<_Sseq> |
15ecdcc6 | 328 | seed(_Sseq& __q); |
8e79468d BK |
329 | |
330 | /** | |
331 | * @brief Gets the smallest possible value in the output range. | |
332 | * | |
333 | * The minimum depends on the @p __c parameter: if it is zero, the | |
334 | * minimum generated must be > 0, otherwise 0 is allowed. | |
8e79468d | 335 | */ |
94a86be0 BK |
336 | static constexpr result_type |
337 | min() | |
96a9203b | 338 | { return __c == 0u ? 1u : 0u; } |
8e79468d BK |
339 | |
340 | /** | |
341 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 342 | */ |
94a86be0 BK |
343 | static constexpr result_type |
344 | max() | |
96a9203b | 345 | { return __m - 1u; } |
8e79468d BK |
346 | |
347 | /** | |
348 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
349 | */ |
350 | void | |
351 | discard(unsigned long long __z) | |
352 | { | |
353 | for (; __z != 0ULL; --__z) | |
354 | (*this)(); | |
355 | } | |
356 | ||
357 | /** | |
358 | * @brief Gets the next random number in the sequence. | |
359 | */ | |
360 | result_type | |
b01630bb PC |
361 | operator()() |
362 | { | |
b94f4bef | 363 | _M_x = __detail::__mod<_UIntType, __m, __a, __c>(_M_x); |
b01630bb PC |
364 | return _M_x; |
365 | } | |
8e79468d BK |
366 | |
367 | /** | |
368 | * @brief Compares two linear congruential random number generator | |
369 | * objects of the same type for equality. | |
370 | * | |
371 | * @param __lhs A linear congruential random number generator object. | |
372 | * @param __rhs Another linear congruential random number generator | |
373 | * object. | |
374 | * | |
fc05e1ba PC |
375 | * @returns true if the infinite sequences of generated values |
376 | * would be equal, false otherwise. | |
8e79468d BK |
377 | */ |
378 | friend bool | |
379 | operator==(const linear_congruential_engine& __lhs, | |
380 | const linear_congruential_engine& __rhs) | |
381 | { return __lhs._M_x == __rhs._M_x; } | |
382 | ||
383 | /** | |
384 | * @brief Writes the textual representation of the state x(i) of x to | |
385 | * @p __os. | |
386 | * | |
387 | * @param __os The output stream. | |
388 | * @param __lcr A % linear_congruential_engine random number generator. | |
389 | * @returns __os. | |
390 | */ | |
391 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 392 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 393 | friend std::basic_ostream<_CharT, _Traits>& |
93c66bc6 | 394 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 395 | const std::linear_congruential_engine<_UIntType1, |
93c66bc6 | 396 | __a1, __c1, __m1>& __lcr); |
8e79468d BK |
397 | |
398 | /** | |
399 | * @brief Sets the state of the engine by reading its textual | |
400 | * representation from @p __is. | |
401 | * | |
402 | * The textual representation must have been previously written using | |
403 | * an output stream whose imbued locale and whose type's template | |
404 | * specialization arguments _CharT and _Traits were the same as those | |
405 | * of @p __is. | |
406 | * | |
407 | * @param __is The input stream. | |
408 | * @param __lcr A % linear_congruential_engine random number generator. | |
409 | * @returns __is. | |
410 | */ | |
411 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 412 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 413 | friend std::basic_istream<_CharT, _Traits>& |
93c66bc6 | 414 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 415 | std::linear_congruential_engine<_UIntType1, __a1, |
93c66bc6 | 416 | __c1, __m1>& __lcr); |
8e79468d BK |
417 | |
418 | private: | |
8e79468d BK |
419 | _UIntType _M_x; |
420 | }; | |
421 | ||
fc05e1ba PC |
422 | /** |
423 | * @brief Compares two linear congruential random number generator | |
424 | * objects of the same type for inequality. | |
425 | * | |
426 | * @param __lhs A linear congruential random number generator object. | |
427 | * @param __rhs Another linear congruential random number generator | |
428 | * object. | |
429 | * | |
430 | * @returns true if the infinite sequences of generated values | |
431 | * would be different, false otherwise. | |
432 | */ | |
433 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
434 | inline bool | |
435 | operator!=(const std::linear_congruential_engine<_UIntType, __a, | |
436 | __c, __m>& __lhs, | |
437 | const std::linear_congruential_engine<_UIntType, __a, | |
438 | __c, __m>& __rhs) | |
439 | { return !(__lhs == __rhs); } | |
440 | ||
8e79468d BK |
441 | |
442 | /** | |
443 | * A generalized feedback shift register discrete random number generator. | |
444 | * | |
445 | * This algorithm avoids multiplication and division and is designed to be | |
446 | * friendly to a pipelined architecture. If the parameters are chosen | |
447 | * correctly, this generator will produce numbers with a very long period and | |
448 | * fairly good apparent entropy, although still not cryptographically strong. | |
449 | * | |
450 | * The best way to use this generator is with the predefined mt19937 class. | |
451 | * | |
452 | * This algorithm was originally invented by Makoto Matsumoto and | |
453 | * Takuji Nishimura. | |
454 | * | |
93c66bc6 BK |
455 | * @tparam __w Word size, the number of bits in each element of |
456 | * the state vector. | |
457 | * @tparam __n The degree of recursion. | |
458 | * @tparam __m The period parameter. | |
459 | * @tparam __r The separation point bit index. | |
460 | * @tparam __a The last row of the twist matrix. | |
461 | * @tparam __u The first right-shift tempering matrix parameter. | |
462 | * @tparam __d The first right-shift tempering matrix mask. | |
463 | * @tparam __s The first left-shift tempering matrix parameter. | |
464 | * @tparam __b The first left-shift tempering matrix mask. | |
465 | * @tparam __t The second left-shift tempering matrix parameter. | |
466 | * @tparam __c The second left-shift tempering matrix mask. | |
467 | * @tparam __l The second right-shift tempering matrix parameter. | |
468 | * @tparam __f Initialization multiplier. | |
8e79468d BK |
469 | */ |
470 | template<typename _UIntType, size_t __w, | |
471 | size_t __n, size_t __m, size_t __r, | |
472 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
473 | _UIntType __b, size_t __t, | |
474 | _UIntType __c, size_t __l, _UIntType __f> | |
475 | class mersenne_twister_engine | |
476 | { | |
0cded43d JW |
477 | static_assert(std::is_unsigned<_UIntType>::value, |
478 | "result_type must be an unsigned integral type"); | |
77e3c516 | 479 | static_assert(1u <= __m && __m <= __n, |
f6d08b43 PC |
480 | "template argument substituting __m out of bounds"); |
481 | static_assert(__r <= __w, "template argument substituting " | |
482 | "__r out of bound"); | |
483 | static_assert(__u <= __w, "template argument substituting " | |
484 | "__u out of bound"); | |
485 | static_assert(__s <= __w, "template argument substituting " | |
486 | "__s out of bound"); | |
487 | static_assert(__t <= __w, "template argument substituting " | |
488 | "__t out of bound"); | |
489 | static_assert(__l <= __w, "template argument substituting " | |
490 | "__l out of bound"); | |
77e3c516 | 491 | static_assert(__w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 492 | "template argument substituting __w out of bound"); |
6855fe45 | 493 | static_assert(__a <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 494 | "template argument substituting __a out of bound"); |
6855fe45 | 495 | static_assert(__b <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 496 | "template argument substituting __b out of bound"); |
6855fe45 | 497 | static_assert(__c <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 498 | "template argument substituting __c out of bound"); |
b94f4bef | 499 | static_assert(__d <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 500 | "template argument substituting __d out of bound"); |
b94f4bef | 501 | static_assert(__f <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 502 | "template argument substituting __f out of bound"); |
8e79468d | 503 | |
5a7960da JW |
504 | template<typename _Sseq> |
505 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
506 | _Sseq, mersenne_twister_engine, _UIntType>::value>::type; | |
507 | ||
8e79468d BK |
508 | public: |
509 | /** The type of the generated random value. */ | |
510 | typedef _UIntType result_type; | |
511 | ||
512 | // parameter values | |
94a86be0 BK |
513 | static constexpr size_t word_size = __w; |
514 | static constexpr size_t state_size = __n; | |
515 | static constexpr size_t shift_size = __m; | |
516 | static constexpr size_t mask_bits = __r; | |
517 | static constexpr result_type xor_mask = __a; | |
518 | static constexpr size_t tempering_u = __u; | |
519 | static constexpr result_type tempering_d = __d; | |
520 | static constexpr size_t tempering_s = __s; | |
521 | static constexpr result_type tempering_b = __b; | |
522 | static constexpr size_t tempering_t = __t; | |
523 | static constexpr result_type tempering_c = __c; | |
524 | static constexpr size_t tempering_l = __l; | |
525 | static constexpr result_type initialization_multiplier = __f; | |
526 | static constexpr result_type default_seed = 5489u; | |
8e79468d | 527 | |
dd9db6f8 JW |
528 | // constructors and member functions |
529 | ||
530 | mersenne_twister_engine() : mersenne_twister_engine(default_seed) { } | |
531 | ||
8e79468d | 532 | explicit |
dd9db6f8 | 533 | mersenne_twister_engine(result_type __sd) |
8e79468d BK |
534 | { seed(__sd); } |
535 | ||
536 | /** | |
537 | * @brief Constructs a %mersenne_twister_engine random number generator | |
538 | * engine seeded from the seed sequence @p __q. | |
539 | * | |
540 | * @param __q the seed sequence. | |
541 | */ | |
5a7960da | 542 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
543 | explicit |
544 | mersenne_twister_engine(_Sseq& __q) | |
05eeebfe | 545 | { seed(__q); } |
8e79468d BK |
546 | |
547 | void | |
548 | seed(result_type __sd = default_seed); | |
549 | ||
05eeebfe | 550 | template<typename _Sseq> |
5a7960da | 551 | _If_seed_seq<_Sseq> |
15ecdcc6 | 552 | seed(_Sseq& __q); |
8e79468d BK |
553 | |
554 | /** | |
555 | * @brief Gets the smallest possible value in the output range. | |
8e79468d | 556 | */ |
94a86be0 BK |
557 | static constexpr result_type |
558 | min() | |
57c51668 | 559 | { return 0; } |
8e79468d BK |
560 | |
561 | /** | |
562 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 563 | */ |
94a86be0 BK |
564 | static constexpr result_type |
565 | max() | |
6855fe45 | 566 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
567 | |
568 | /** | |
569 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
570 | */ |
571 | void | |
b668e41a | 572 | discard(unsigned long long __z); |
8e79468d BK |
573 | |
574 | result_type | |
575 | operator()(); | |
576 | ||
577 | /** | |
578 | * @brief Compares two % mersenne_twister_engine random number generator | |
579 | * objects of the same type for equality. | |
580 | * | |
581 | * @param __lhs A % mersenne_twister_engine random number generator | |
582 | * object. | |
583 | * @param __rhs Another % mersenne_twister_engine random number | |
584 | * generator object. | |
585 | * | |
fc05e1ba PC |
586 | * @returns true if the infinite sequences of generated values |
587 | * would be equal, false otherwise. | |
8e79468d BK |
588 | */ |
589 | friend bool | |
590 | operator==(const mersenne_twister_engine& __lhs, | |
591 | const mersenne_twister_engine& __rhs) | |
31645179 PC |
592 | { return (std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x) |
593 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
594 | |
595 | /** | |
596 | * @brief Inserts the current state of a % mersenne_twister_engine | |
597 | * random number generator engine @p __x into the output stream | |
598 | * @p __os. | |
599 | * | |
600 | * @param __os An output stream. | |
601 | * @param __x A % mersenne_twister_engine random number generator | |
602 | * engine. | |
603 | * | |
604 | * @returns The output stream with the state of @p __x inserted or in | |
605 | * an error state. | |
606 | */ | |
607 | template<typename _UIntType1, | |
608 | size_t __w1, size_t __n1, | |
609 | size_t __m1, size_t __r1, | |
610 | _UIntType1 __a1, size_t __u1, | |
611 | _UIntType1 __d1, size_t __s1, | |
612 | _UIntType1 __b1, size_t __t1, | |
613 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
614 | typename _CharT, typename _Traits> | |
615 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 616 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d PC |
617 | const std::mersenne_twister_engine<_UIntType1, __w1, __n1, |
618 | __m1, __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 619 | __l1, __f1>& __x); |
8e79468d BK |
620 | |
621 | /** | |
622 | * @brief Extracts the current state of a % mersenne_twister_engine | |
623 | * random number generator engine @p __x from the input stream | |
624 | * @p __is. | |
625 | * | |
626 | * @param __is An input stream. | |
627 | * @param __x A % mersenne_twister_engine random number generator | |
628 | * engine. | |
629 | * | |
630 | * @returns The input stream with the state of @p __x extracted or in | |
631 | * an error state. | |
632 | */ | |
633 | template<typename _UIntType1, | |
634 | size_t __w1, size_t __n1, | |
635 | size_t __m1, size_t __r1, | |
636 | _UIntType1 __a1, size_t __u1, | |
637 | _UIntType1 __d1, size_t __s1, | |
638 | _UIntType1 __b1, size_t __t1, | |
639 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
640 | typename _CharT, typename _Traits> | |
641 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 642 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d PC |
643 | std::mersenne_twister_engine<_UIntType1, __w1, __n1, __m1, |
644 | __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 645 | __l1, __f1>& __x); |
8e79468d BK |
646 | |
647 | private: | |
b668e41a UD |
648 | void _M_gen_rand(); |
649 | ||
8e79468d BK |
650 | _UIntType _M_x[state_size]; |
651 | size_t _M_p; | |
652 | }; | |
653 | ||
fc05e1ba PC |
654 | /** |
655 | * @brief Compares two % mersenne_twister_engine random number generator | |
656 | * objects of the same type for inequality. | |
657 | * | |
658 | * @param __lhs A % mersenne_twister_engine random number generator | |
659 | * object. | |
660 | * @param __rhs Another % mersenne_twister_engine random number | |
661 | * generator object. | |
662 | * | |
663 | * @returns true if the infinite sequences of generated values | |
664 | * would be different, false otherwise. | |
665 | */ | |
666 | template<typename _UIntType, size_t __w, | |
667 | size_t __n, size_t __m, size_t __r, | |
668 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
669 | _UIntType __b, size_t __t, | |
670 | _UIntType __c, size_t __l, _UIntType __f> | |
671 | inline bool | |
672 | operator!=(const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
673 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __lhs, | |
674 | const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
675 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __rhs) | |
676 | { return !(__lhs == __rhs); } | |
677 | ||
678 | ||
8e79468d BK |
679 | /** |
680 | * @brief The Marsaglia-Zaman generator. | |
681 | * | |
682 | * This is a model of a Generalized Fibonacci discrete random number | |
683 | * generator, sometimes referred to as the SWC generator. | |
684 | * | |
685 | * A discrete random number generator that produces pseudorandom | |
6cc5a790 BK |
686 | * numbers using: |
687 | * @f[ | |
688 | * x_{i}\leftarrow(x_{i - s} - x_{i - r} - carry_{i-1}) \bmod m | |
689 | * @f] | |
8e79468d | 690 | * |
6cc5a790 BK |
691 | * The size of the state is @f$r@f$ |
692 | * and the maximum period of the generator is @f$(m^r - m^s - 1)@f$. | |
8e79468d BK |
693 | */ |
694 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
695 | class subtract_with_carry_engine | |
696 | { | |
0cded43d JW |
697 | static_assert(std::is_unsigned<_UIntType>::value, |
698 | "result_type must be an unsigned integral type"); | |
77e3c516 | 699 | static_assert(0u < __s && __s < __r, |
0cded43d | 700 | "0 < s < r"); |
77e3c516 | 701 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 702 | "template argument substituting __w out of bounds"); |
8e79468d | 703 | |
5a7960da JW |
704 | template<typename _Sseq> |
705 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
706 | _Sseq, subtract_with_carry_engine, _UIntType>::value>::type; | |
707 | ||
8e79468d BK |
708 | public: |
709 | /** The type of the generated random value. */ | |
710 | typedef _UIntType result_type; | |
711 | ||
712 | // parameter values | |
94a86be0 BK |
713 | static constexpr size_t word_size = __w; |
714 | static constexpr size_t short_lag = __s; | |
715 | static constexpr size_t long_lag = __r; | |
716 | static constexpr result_type default_seed = 19780503u; | |
8e79468d | 717 | |
dd9db6f8 JW |
718 | subtract_with_carry_engine() : subtract_with_carry_engine(default_seed) |
719 | { } | |
720 | ||
8e79468d | 721 | /** |
dd9db6f8 | 722 | * @brief Constructs an explicitly seeded %subtract_with_carry_engine |
8e79468d BK |
723 | * random number generator. |
724 | */ | |
725 | explicit | |
dd9db6f8 | 726 | subtract_with_carry_engine(result_type __sd) |
15ecdcc6 | 727 | { seed(__sd); } |
8e79468d BK |
728 | |
729 | /** | |
730 | * @brief Constructs a %subtract_with_carry_engine random number engine | |
731 | * seeded from the seed sequence @p __q. | |
732 | * | |
733 | * @param __q the seed sequence. | |
734 | */ | |
5a7960da | 735 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
736 | explicit |
737 | subtract_with_carry_engine(_Sseq& __q) | |
05eeebfe | 738 | { seed(__q); } |
8e79468d BK |
739 | |
740 | /** | |
6cc5a790 | 741 | * @brief Seeds the initial state @f$x_0@f$ of the random number |
8e79468d BK |
742 | * generator. |
743 | * | |
744 | * N1688[4.19] modifies this as follows. If @p __value == 0, | |
745 | * sets value to 19780503. In any case, with a linear | |
746 | * congruential generator lcg(i) having parameters @f$ m_{lcg} = | |
747 | * 2147483563, a_{lcg} = 40014, c_{lcg} = 0, and lcg(0) = value | |
748 | * @f$, sets @f$ x_{-r} \dots x_{-1} @f$ to @f$ lcg(1) \bmod m | |
749 | * \dots lcg(r) \bmod m @f$ respectively. If @f$ x_{-1} = 0 @f$ | |
750 | * set carry to 1, otherwise sets carry to 0. | |
751 | */ | |
752 | void | |
753 | seed(result_type __sd = default_seed); | |
754 | ||
755 | /** | |
6cc5a790 | 756 | * @brief Seeds the initial state @f$x_0@f$ of the |
8e79468d BK |
757 | * % subtract_with_carry_engine random number generator. |
758 | */ | |
05eeebfe | 759 | template<typename _Sseq> |
5a7960da | 760 | _If_seed_seq<_Sseq> |
15ecdcc6 | 761 | seed(_Sseq& __q); |
8e79468d BK |
762 | |
763 | /** | |
764 | * @brief Gets the inclusive minimum value of the range of random | |
765 | * integers returned by this generator. | |
8e79468d | 766 | */ |
94a86be0 BK |
767 | static constexpr result_type |
768 | min() | |
8e79468d BK |
769 | { return 0; } |
770 | ||
771 | /** | |
772 | * @brief Gets the inclusive maximum value of the range of random | |
773 | * integers returned by this generator. | |
8e79468d | 774 | */ |
94a86be0 BK |
775 | static constexpr result_type |
776 | max() | |
6855fe45 | 777 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
778 | |
779 | /** | |
780 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
781 | */ |
782 | void | |
783 | discard(unsigned long long __z) | |
784 | { | |
785 | for (; __z != 0ULL; --__z) | |
786 | (*this)(); | |
787 | } | |
788 | ||
789 | /** | |
790 | * @brief Gets the next random number in the sequence. | |
791 | */ | |
792 | result_type | |
793 | operator()(); | |
794 | ||
795 | /** | |
796 | * @brief Compares two % subtract_with_carry_engine random number | |
797 | * generator objects of the same type for equality. | |
798 | * | |
799 | * @param __lhs A % subtract_with_carry_engine random number generator | |
800 | * object. | |
801 | * @param __rhs Another % subtract_with_carry_engine random number | |
802 | * generator object. | |
803 | * | |
fc05e1ba PC |
804 | * @returns true if the infinite sequences of generated values |
805 | * would be equal, false otherwise. | |
806 | */ | |
8e79468d BK |
807 | friend bool |
808 | operator==(const subtract_with_carry_engine& __lhs, | |
809 | const subtract_with_carry_engine& __rhs) | |
31645179 PC |
810 | { return (std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x) |
811 | && __lhs._M_carry == __rhs._M_carry | |
812 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
813 | |
814 | /** | |
815 | * @brief Inserts the current state of a % subtract_with_carry_engine | |
816 | * random number generator engine @p __x into the output stream | |
817 | * @p __os. | |
818 | * | |
819 | * @param __os An output stream. | |
820 | * @param __x A % subtract_with_carry_engine random number generator | |
821 | * engine. | |
822 | * | |
823 | * @returns The output stream with the state of @p __x inserted or in | |
824 | * an error state. | |
825 | */ | |
826 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
827 | typename _CharT, typename _Traits> | |
828 | friend std::basic_ostream<_CharT, _Traits>& | |
00541349 | 829 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 830 | const std::subtract_with_carry_engine<_UIntType1, __w1, |
00541349 | 831 | __s1, __r1>& __x); |
8e79468d BK |
832 | |
833 | /** | |
834 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
835 | * random number generator engine @p __x from the input stream | |
836 | * @p __is. | |
837 | * | |
838 | * @param __is An input stream. | |
15ecdcc6 PC |
839 | * @param __x A % subtract_with_carry_engine random number generator |
840 | * engine. | |
8e79468d BK |
841 | * |
842 | * @returns The input stream with the state of @p __x extracted or in | |
843 | * an error state. | |
844 | */ | |
845 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
846 | typename _CharT, typename _Traits> | |
847 | friend std::basic_istream<_CharT, _Traits>& | |
00541349 | 848 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 849 | std::subtract_with_carry_engine<_UIntType1, __w1, |
00541349 | 850 | __s1, __r1>& __x); |
8e79468d BK |
851 | |
852 | private: | |
00541349 | 853 | /// The state of the generator. This is a ring buffer. |
8e79468d | 854 | _UIntType _M_x[long_lag]; |
00541349 JW |
855 | _UIntType _M_carry; ///< The carry |
856 | size_t _M_p; ///< Current index of x(i - r). | |
8e79468d BK |
857 | }; |
858 | ||
fc05e1ba PC |
859 | /** |
860 | * @brief Compares two % subtract_with_carry_engine random number | |
861 | * generator objects of the same type for inequality. | |
862 | * | |
863 | * @param __lhs A % subtract_with_carry_engine random number generator | |
864 | * object. | |
865 | * @param __rhs Another % subtract_with_carry_engine random number | |
866 | * generator object. | |
867 | * | |
868 | * @returns true if the infinite sequences of generated values | |
869 | * would be different, false otherwise. | |
870 | */ | |
871 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
872 | inline bool | |
873 | operator!=(const std::subtract_with_carry_engine<_UIntType, __w, | |
874 | __s, __r>& __lhs, | |
875 | const std::subtract_with_carry_engine<_UIntType, __w, | |
876 | __s, __r>& __rhs) | |
877 | { return !(__lhs == __rhs); } | |
878 | ||
879 | ||
8e79468d BK |
880 | /** |
881 | * Produces random numbers from some base engine by discarding blocks of | |
882 | * data. | |
883 | * | |
884 | * 0 <= @p __r <= @p __p | |
885 | */ | |
886 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
887 | class discard_block_engine | |
888 | { | |
77e3c516 | 889 | static_assert(1 <= __r && __r <= __p, |
f6d08b43 | 890 | "template argument substituting __r out of bounds"); |
8e79468d BK |
891 | |
892 | public: | |
893 | /** The type of the generated random value. */ | |
894 | typedef typename _RandomNumberEngine::result_type result_type; | |
895 | ||
5a7960da JW |
896 | template<typename _Sseq> |
897 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
898 | _Sseq, discard_block_engine, result_type>::value>::type; | |
899 | ||
8e79468d | 900 | // parameter values |
94a86be0 BK |
901 | static constexpr size_t block_size = __p; |
902 | static constexpr size_t used_block = __r; | |
8e79468d BK |
903 | |
904 | /** | |
905 | * @brief Constructs a default %discard_block_engine engine. | |
906 | * | |
907 | * The underlying engine is default constructed as well. | |
908 | */ | |
909 | discard_block_engine() | |
910 | : _M_b(), _M_n(0) { } | |
911 | ||
912 | /** | |
913 | * @brief Copy constructs a %discard_block_engine engine. | |
914 | * | |
915 | * Copies an existing base class random number generator. | |
93c66bc6 | 916 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
917 | */ |
918 | explicit | |
93c66bc6 BK |
919 | discard_block_engine(const _RandomNumberEngine& __rng) |
920 | : _M_b(__rng), _M_n(0) { } | |
8e79468d BK |
921 | |
922 | /** | |
923 | * @brief Move constructs a %discard_block_engine engine. | |
924 | * | |
925 | * Copies an existing base class random number generator. | |
93c66bc6 | 926 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
927 | */ |
928 | explicit | |
93c66bc6 BK |
929 | discard_block_engine(_RandomNumberEngine&& __rng) |
930 | : _M_b(std::move(__rng)), _M_n(0) { } | |
8e79468d BK |
931 | |
932 | /** | |
933 | * @brief Seed constructs a %discard_block_engine engine. | |
934 | * | |
935 | * Constructs the underlying generator engine seeded with @p __s. | |
936 | * @param __s A seed value for the base class engine. | |
937 | */ | |
938 | explicit | |
939 | discard_block_engine(result_type __s) | |
940 | : _M_b(__s), _M_n(0) { } | |
941 | ||
942 | /** | |
943 | * @brief Generator construct a %discard_block_engine engine. | |
944 | * | |
945 | * @param __q A seed sequence. | |
946 | */ | |
5a7960da | 947 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
948 | explicit |
949 | discard_block_engine(_Sseq& __q) | |
950 | : _M_b(__q), _M_n(0) | |
951 | { } | |
8e79468d BK |
952 | |
953 | /** | |
954 | * @brief Reseeds the %discard_block_engine object with the default | |
955 | * seed for the underlying base class generator engine. | |
956 | */ | |
957 | void | |
958 | seed() | |
959 | { | |
960 | _M_b.seed(); | |
961 | _M_n = 0; | |
962 | } | |
963 | ||
964 | /** | |
965 | * @brief Reseeds the %discard_block_engine object with the default | |
966 | * seed for the underlying base class generator engine. | |
967 | */ | |
968 | void | |
969 | seed(result_type __s) | |
970 | { | |
971 | _M_b.seed(__s); | |
972 | _M_n = 0; | |
973 | } | |
974 | ||
975 | /** | |
976 | * @brief Reseeds the %discard_block_engine object with the given seed | |
977 | * sequence. | |
978 | * @param __q A seed generator function. | |
979 | */ | |
05eeebfe | 980 | template<typename _Sseq> |
5a7960da | 981 | _If_seed_seq<_Sseq> |
15ecdcc6 PC |
982 | seed(_Sseq& __q) |
983 | { | |
05eeebfe | 984 | _M_b.seed(__q); |
15ecdcc6 PC |
985 | _M_n = 0; |
986 | } | |
8e79468d BK |
987 | |
988 | /** | |
989 | * @brief Gets a const reference to the underlying generator engine | |
990 | * object. | |
991 | */ | |
992 | const _RandomNumberEngine& | |
18eeaec4 | 993 | base() const noexcept |
8e79468d BK |
994 | { return _M_b; } |
995 | ||
996 | /** | |
997 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 998 | */ |
94a86be0 BK |
999 | static constexpr result_type |
1000 | min() | |
1001 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
1002 | |
1003 | /** | |
1004 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 1005 | */ |
94a86be0 BK |
1006 | static constexpr result_type |
1007 | max() | |
1008 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
1009 | |
1010 | /** | |
1011 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
1012 | */ |
1013 | void | |
1014 | discard(unsigned long long __z) | |
1015 | { | |
1016 | for (; __z != 0ULL; --__z) | |
1017 | (*this)(); | |
1018 | } | |
1019 | ||
1020 | /** | |
1021 | * @brief Gets the next value in the generated random number sequence. | |
1022 | */ | |
1023 | result_type | |
1024 | operator()(); | |
1025 | ||
1026 | /** | |
1027 | * @brief Compares two %discard_block_engine random number generator | |
1028 | * objects of the same type for equality. | |
1029 | * | |
1030 | * @param __lhs A %discard_block_engine random number generator object. | |
1031 | * @param __rhs Another %discard_block_engine random number generator | |
1032 | * object. | |
1033 | * | |
fc05e1ba PC |
1034 | * @returns true if the infinite sequences of generated values |
1035 | * would be equal, false otherwise. | |
8e79468d BK |
1036 | */ |
1037 | friend bool | |
1038 | operator==(const discard_block_engine& __lhs, | |
1039 | const discard_block_engine& __rhs) | |
fc05e1ba | 1040 | { return __lhs._M_b == __rhs._M_b && __lhs._M_n == __rhs._M_n; } |
8e79468d BK |
1041 | |
1042 | /** | |
1043 | * @brief Inserts the current state of a %discard_block_engine random | |
1044 | * number generator engine @p __x into the output stream | |
1045 | * @p __os. | |
1046 | * | |
1047 | * @param __os An output stream. | |
1048 | * @param __x A %discard_block_engine random number generator engine. | |
1049 | * | |
1050 | * @returns The output stream with the state of @p __x inserted or in | |
1051 | * an error state. | |
1052 | */ | |
1053 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1054 | typename _CharT, typename _Traits> | |
1055 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1056 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1057 | const std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1058 | __p1, __r1>& __x); |
8e79468d BK |
1059 | |
1060 | /** | |
1061 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1062 | * random number generator engine @p __x from the input stream | |
1063 | * @p __is. | |
1064 | * | |
1065 | * @param __is An input stream. | |
1066 | * @param __x A %discard_block_engine random number generator engine. | |
1067 | * | |
1068 | * @returns The input stream with the state of @p __x extracted or in | |
1069 | * an error state. | |
1070 | */ | |
1071 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1072 | typename _CharT, typename _Traits> | |
1073 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 1074 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 1075 | std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1076 | __p1, __r1>& __x); |
8e79468d BK |
1077 | |
1078 | private: | |
1079 | _RandomNumberEngine _M_b; | |
1080 | size_t _M_n; | |
1081 | }; | |
1082 | ||
fc05e1ba PC |
1083 | /** |
1084 | * @brief Compares two %discard_block_engine random number generator | |
1085 | * objects of the same type for inequality. | |
1086 | * | |
1087 | * @param __lhs A %discard_block_engine random number generator object. | |
1088 | * @param __rhs Another %discard_block_engine random number generator | |
1089 | * object. | |
1090 | * | |
1091 | * @returns true if the infinite sequences of generated values | |
1092 | * would be different, false otherwise. | |
1093 | */ | |
1094 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
1095 | inline bool | |
1096 | operator!=(const std::discard_block_engine<_RandomNumberEngine, __p, | |
1097 | __r>& __lhs, | |
1098 | const std::discard_block_engine<_RandomNumberEngine, __p, | |
1099 | __r>& __rhs) | |
1100 | { return !(__lhs == __rhs); } | |
1101 | ||
1102 | ||
8e79468d BK |
1103 | /** |
1104 | * Produces random numbers by combining random numbers from some base | |
60d9f254 | 1105 | * engine to produce random numbers with a specified number of bits @p __w. |
8e79468d BK |
1106 | */ |
1107 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1108 | class independent_bits_engine | |
1109 | { | |
0cded43d JW |
1110 | static_assert(std::is_unsigned<_UIntType>::value, |
1111 | "result_type must be an unsigned integral type"); | |
77e3c516 | 1112 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 1113 | "template argument substituting __w out of bounds"); |
8e79468d | 1114 | |
5a7960da JW |
1115 | template<typename _Sseq> |
1116 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
1117 | _Sseq, independent_bits_engine, _UIntType>::value>::type; | |
1118 | ||
8e79468d BK |
1119 | public: |
1120 | /** The type of the generated random value. */ | |
1121 | typedef _UIntType result_type; | |
1122 | ||
1123 | /** | |
1124 | * @brief Constructs a default %independent_bits_engine engine. | |
1125 | * | |
1126 | * The underlying engine is default constructed as well. | |
1127 | */ | |
1128 | independent_bits_engine() | |
1129 | : _M_b() { } | |
1130 | ||
1131 | /** | |
1132 | * @brief Copy constructs a %independent_bits_engine engine. | |
1133 | * | |
1134 | * Copies an existing base class random number generator. | |
93c66bc6 | 1135 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1136 | */ |
1137 | explicit | |
93c66bc6 BK |
1138 | independent_bits_engine(const _RandomNumberEngine& __rng) |
1139 | : _M_b(__rng) { } | |
8e79468d BK |
1140 | |
1141 | /** | |
1142 | * @brief Move constructs a %independent_bits_engine engine. | |
1143 | * | |
1144 | * Copies an existing base class random number generator. | |
93c66bc6 | 1145 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1146 | */ |
1147 | explicit | |
93c66bc6 BK |
1148 | independent_bits_engine(_RandomNumberEngine&& __rng) |
1149 | : _M_b(std::move(__rng)) { } | |
8e79468d BK |
1150 | |
1151 | /** | |
1152 | * @brief Seed constructs a %independent_bits_engine engine. | |
1153 | * | |
1154 | * Constructs the underlying generator engine seeded with @p __s. | |
1155 | * @param __s A seed value for the base class engine. | |
1156 | */ | |
1157 | explicit | |
1158 | independent_bits_engine(result_type __s) | |
1159 | : _M_b(__s) { } | |
1160 | ||
1161 | /** | |
1162 | * @brief Generator construct a %independent_bits_engine engine. | |
1163 | * | |
1164 | * @param __q A seed sequence. | |
1165 | */ | |
5a7960da | 1166 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
1167 | explicit |
1168 | independent_bits_engine(_Sseq& __q) | |
1169 | : _M_b(__q) | |
1170 | { } | |
8e79468d BK |
1171 | |
1172 | /** | |
1173 | * @brief Reseeds the %independent_bits_engine object with the default | |
1174 | * seed for the underlying base class generator engine. | |
1175 | */ | |
1176 | void | |
1177 | seed() | |
1178 | { _M_b.seed(); } | |
1179 | ||
1180 | /** | |
1181 | * @brief Reseeds the %independent_bits_engine object with the default | |
1182 | * seed for the underlying base class generator engine. | |
1183 | */ | |
1184 | void | |
1185 | seed(result_type __s) | |
1186 | { _M_b.seed(__s); } | |
1187 | ||
1188 | /** | |
1189 | * @brief Reseeds the %independent_bits_engine object with the given | |
1190 | * seed sequence. | |
1191 | * @param __q A seed generator function. | |
1192 | */ | |
05eeebfe | 1193 | template<typename _Sseq> |
5a7960da | 1194 | _If_seed_seq<_Sseq> |
15ecdcc6 | 1195 | seed(_Sseq& __q) |
05eeebfe | 1196 | { _M_b.seed(__q); } |
8e79468d BK |
1197 | |
1198 | /** | |
1199 | * @brief Gets a const reference to the underlying generator engine | |
1200 | * object. | |
1201 | */ | |
1202 | const _RandomNumberEngine& | |
18eeaec4 | 1203 | base() const noexcept |
8e79468d BK |
1204 | { return _M_b; } |
1205 | ||
1206 | /** | |
1207 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 1208 | */ |
94a86be0 BK |
1209 | static constexpr result_type |
1210 | min() | |
8e79468d BK |
1211 | { return 0U; } |
1212 | ||
1213 | /** | |
1214 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 1215 | */ |
94a86be0 BK |
1216 | static constexpr result_type |
1217 | max() | |
6855fe45 | 1218 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
1219 | |
1220 | /** | |
1221 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
1222 | */ |
1223 | void | |
1224 | discard(unsigned long long __z) | |
1225 | { | |
1226 | for (; __z != 0ULL; --__z) | |
1227 | (*this)(); | |
1228 | } | |
1229 | ||
1230 | /** | |
1231 | * @brief Gets the next value in the generated random number sequence. | |
1232 | */ | |
1233 | result_type | |
1234 | operator()(); | |
1235 | ||
1236 | /** | |
1237 | * @brief Compares two %independent_bits_engine random number generator | |
1238 | * objects of the same type for equality. | |
1239 | * | |
1240 | * @param __lhs A %independent_bits_engine random number generator | |
1241 | * object. | |
1242 | * @param __rhs Another %independent_bits_engine random number generator | |
1243 | * object. | |
1244 | * | |
fc05e1ba PC |
1245 | * @returns true if the infinite sequences of generated values |
1246 | * would be equal, false otherwise. | |
8e79468d BK |
1247 | */ |
1248 | friend bool | |
1249 | operator==(const independent_bits_engine& __lhs, | |
1250 | const independent_bits_engine& __rhs) | |
1251 | { return __lhs._M_b == __rhs._M_b; } | |
1252 | ||
1253 | /** | |
1254 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1255 | * random number generator engine @p __x from the input stream | |
1256 | * @p __is. | |
1257 | * | |
1258 | * @param __is An input stream. | |
1259 | * @param __x A %independent_bits_engine random number generator | |
1260 | * engine. | |
1261 | * | |
1262 | * @returns The input stream with the state of @p __x extracted or in | |
1263 | * an error state. | |
1264 | */ | |
1265 | template<typename _CharT, typename _Traits> | |
1266 | friend std::basic_istream<_CharT, _Traits>& | |
1267 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 1268 | std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1269 | __w, _UIntType>& __x) |
1270 | { | |
1271 | __is >> __x._M_b; | |
1272 | return __is; | |
1273 | } | |
1274 | ||
1275 | private: | |
1276 | _RandomNumberEngine _M_b; | |
1277 | }; | |
1278 | ||
fc05e1ba PC |
1279 | /** |
1280 | * @brief Compares two %independent_bits_engine random number generator | |
1281 | * objects of the same type for inequality. | |
1282 | * | |
1283 | * @param __lhs A %independent_bits_engine random number generator | |
1284 | * object. | |
1285 | * @param __rhs Another %independent_bits_engine random number generator | |
1286 | * object. | |
1287 | * | |
1288 | * @returns true if the infinite sequences of generated values | |
1289 | * would be different, false otherwise. | |
1290 | */ | |
1291 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1292 | inline bool | |
1293 | operator!=(const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1294 | _UIntType>& __lhs, | |
1295 | const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1296 | _UIntType>& __rhs) | |
1297 | { return !(__lhs == __rhs); } | |
1298 | ||
8e79468d BK |
1299 | /** |
1300 | * @brief Inserts the current state of a %independent_bits_engine random | |
1301 | * number generator engine @p __x into the output stream @p __os. | |
1302 | * | |
1303 | * @param __os An output stream. | |
1304 | * @param __x A %independent_bits_engine random number generator engine. | |
1305 | * | |
1306 | * @returns The output stream with the state of @p __x inserted or in | |
1307 | * an error state. | |
1308 | */ | |
1309 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType, | |
1310 | typename _CharT, typename _Traits> | |
1311 | std::basic_ostream<_CharT, _Traits>& | |
1312 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
94986f6d | 1313 | const std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1314 | __w, _UIntType>& __x) |
1315 | { | |
1316 | __os << __x.base(); | |
1317 | return __os; | |
1318 | } | |
1319 | ||
fc05e1ba | 1320 | |
8e79468d | 1321 | /** |
60d9f254 JW |
1322 | * @brief Produces random numbers by reordering random numbers from some |
1323 | * base engine. | |
1324 | * | |
1325 | * The values from the base engine are stored in a sequence of size @p __k | |
1326 | * and shuffled by an algorithm that depends on those values. | |
8e79468d BK |
1327 | */ |
1328 | template<typename _RandomNumberEngine, size_t __k> | |
1329 | class shuffle_order_engine | |
1330 | { | |
a20c8540 | 1331 | static_assert(1u <= __k, "template argument substituting " |
f6d08b43 | 1332 | "__k out of bound"); |
8e79468d BK |
1333 | |
1334 | public: | |
1335 | /** The type of the generated random value. */ | |
1336 | typedef typename _RandomNumberEngine::result_type result_type; | |
1337 | ||
5a7960da JW |
1338 | template<typename _Sseq> |
1339 | using _If_seed_seq = typename enable_if<__detail::__is_seed_seq< | |
1340 | _Sseq, shuffle_order_engine, result_type>::value>::type; | |
1341 | ||
94a86be0 | 1342 | static constexpr size_t table_size = __k; |
8e79468d BK |
1343 | |
1344 | /** | |
1345 | * @brief Constructs a default %shuffle_order_engine engine. | |
1346 | * | |
1347 | * The underlying engine is default constructed as well. | |
1348 | */ | |
1349 | shuffle_order_engine() | |
1350 | : _M_b() | |
1351 | { _M_initialize(); } | |
1352 | ||
1353 | /** | |
1354 | * @brief Copy constructs a %shuffle_order_engine engine. | |
1355 | * | |
1356 | * Copies an existing base class random number generator. | |
93c66bc6 | 1357 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1358 | */ |
1359 | explicit | |
93c66bc6 BK |
1360 | shuffle_order_engine(const _RandomNumberEngine& __rng) |
1361 | : _M_b(__rng) | |
8e79468d BK |
1362 | { _M_initialize(); } |
1363 | ||
1364 | /** | |
1365 | * @brief Move constructs a %shuffle_order_engine engine. | |
1366 | * | |
1367 | * Copies an existing base class random number generator. | |
93c66bc6 | 1368 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1369 | */ |
1370 | explicit | |
93c66bc6 BK |
1371 | shuffle_order_engine(_RandomNumberEngine&& __rng) |
1372 | : _M_b(std::move(__rng)) | |
8e79468d BK |
1373 | { _M_initialize(); } |
1374 | ||
1375 | /** | |
1376 | * @brief Seed constructs a %shuffle_order_engine engine. | |
1377 | * | |
1378 | * Constructs the underlying generator engine seeded with @p __s. | |
1379 | * @param __s A seed value for the base class engine. | |
1380 | */ | |
1381 | explicit | |
1382 | shuffle_order_engine(result_type __s) | |
1383 | : _M_b(__s) | |
1384 | { _M_initialize(); } | |
1385 | ||
1386 | /** | |
1387 | * @brief Generator construct a %shuffle_order_engine engine. | |
1388 | * | |
1389 | * @param __q A seed sequence. | |
1390 | */ | |
5a7960da | 1391 | template<typename _Sseq, typename = _If_seed_seq<_Sseq>> |
15ecdcc6 PC |
1392 | explicit |
1393 | shuffle_order_engine(_Sseq& __q) | |
1394 | : _M_b(__q) | |
1395 | { _M_initialize(); } | |
8e79468d BK |
1396 | |
1397 | /** | |
94986f6d PC |
1398 | * @brief Reseeds the %shuffle_order_engine object with the default seed |
1399 | for the underlying base class generator engine. | |
8e79468d BK |
1400 | */ |
1401 | void | |
1402 | seed() | |
1403 | { | |
1404 | _M_b.seed(); | |
1405 | _M_initialize(); | |
1406 | } | |
1407 | ||
1408 | /** | |
1409 | * @brief Reseeds the %shuffle_order_engine object with the default seed | |
1410 | * for the underlying base class generator engine. | |
1411 | */ | |
1412 | void | |
1413 | seed(result_type __s) | |
1414 | { | |
1415 | _M_b.seed(__s); | |
1416 | _M_initialize(); | |
1417 | } | |
1418 | ||
1419 | /** | |
1420 | * @brief Reseeds the %shuffle_order_engine object with the given seed | |
1421 | * sequence. | |
1422 | * @param __q A seed generator function. | |
1423 | */ | |
05eeebfe | 1424 | template<typename _Sseq> |
5a7960da | 1425 | _If_seed_seq<_Sseq> |
15ecdcc6 PC |
1426 | seed(_Sseq& __q) |
1427 | { | |
05eeebfe | 1428 | _M_b.seed(__q); |
15ecdcc6 PC |
1429 | _M_initialize(); |
1430 | } | |
8e79468d BK |
1431 | |
1432 | /** | |
1433 | * Gets a const reference to the underlying generator engine object. | |
1434 | */ | |
1435 | const _RandomNumberEngine& | |
18eeaec4 | 1436 | base() const noexcept |
8e79468d BK |
1437 | { return _M_b; } |
1438 | ||
1439 | /** | |
1440 | * Gets the minimum value in the generated random number range. | |
8e79468d | 1441 | */ |
94a86be0 BK |
1442 | static constexpr result_type |
1443 | min() | |
1444 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
1445 | |
1446 | /** | |
1447 | * Gets the maximum value in the generated random number range. | |
8e79468d | 1448 | */ |
94a86be0 BK |
1449 | static constexpr result_type |
1450 | max() | |
1451 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
1452 | |
1453 | /** | |
1454 | * Discard a sequence of random numbers. | |
8e79468d BK |
1455 | */ |
1456 | void | |
1457 | discard(unsigned long long __z) | |
1458 | { | |
1459 | for (; __z != 0ULL; --__z) | |
1460 | (*this)(); | |
1461 | } | |
1462 | ||
1463 | /** | |
1464 | * Gets the next value in the generated random number sequence. | |
1465 | */ | |
1466 | result_type | |
1467 | operator()(); | |
1468 | ||
1469 | /** | |
1470 | * Compares two %shuffle_order_engine random number generator objects | |
1471 | * of the same type for equality. | |
1472 | * | |
1473 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1474 | * @param __rhs Another %shuffle_order_engine random number generator | |
1475 | * object. | |
1476 | * | |
fc05e1ba PC |
1477 | * @returns true if the infinite sequences of generated values |
1478 | * would be equal, false otherwise. | |
1479 | */ | |
8e79468d BK |
1480 | friend bool |
1481 | operator==(const shuffle_order_engine& __lhs, | |
1482 | const shuffle_order_engine& __rhs) | |
31645179 PC |
1483 | { return (__lhs._M_b == __rhs._M_b |
1484 | && std::equal(__lhs._M_v, __lhs._M_v + __k, __rhs._M_v) | |
1485 | && __lhs._M_y == __rhs._M_y); } | |
8e79468d BK |
1486 | |
1487 | /** | |
1488 | * @brief Inserts the current state of a %shuffle_order_engine random | |
1489 | * number generator engine @p __x into the output stream | |
1490 | @p __os. | |
1491 | * | |
1492 | * @param __os An output stream. | |
1493 | * @param __x A %shuffle_order_engine random number generator engine. | |
1494 | * | |
1495 | * @returns The output stream with the state of @p __x inserted or in | |
1496 | * an error state. | |
1497 | */ | |
1498 | template<typename _RandomNumberEngine1, size_t __k1, | |
1499 | typename _CharT, typename _Traits> | |
1500 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1501 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1502 | const std::shuffle_order_engine<_RandomNumberEngine1, |
93c66bc6 | 1503 | __k1>& __x); |
8e79468d BK |
1504 | |
1505 | /** | |
1506 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1507 | * random number generator engine @p __x from the input stream | |
1508 | * @p __is. | |
1509 | * | |
1510 | * @param __is An input stream. | |
1511 | * @param __x A %shuffle_order_engine random number generator engine. | |
1512 | * | |
1513 | * @returns The input stream with the state of @p __x extracted or in | |
1514 | * an error state. | |
1515 | */ | |
1516 | template<typename _RandomNumberEngine1, size_t __k1, | |
1517 | typename _CharT, typename _Traits> | |
1518 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
1519 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
1520 | std::shuffle_order_engine<_RandomNumberEngine1, __k1>& __x); | |
8e79468d BK |
1521 | |
1522 | private: | |
1523 | void _M_initialize() | |
1524 | { | |
1525 | for (size_t __i = 0; __i < __k; ++__i) | |
1526 | _M_v[__i] = _M_b(); | |
1527 | _M_y = _M_b(); | |
1528 | } | |
1529 | ||
1530 | _RandomNumberEngine _M_b; | |
1531 | result_type _M_v[__k]; | |
1532 | result_type _M_y; | |
1533 | }; | |
1534 | ||
fc05e1ba PC |
1535 | /** |
1536 | * Compares two %shuffle_order_engine random number generator objects | |
1537 | * of the same type for inequality. | |
1538 | * | |
1539 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1540 | * @param __rhs Another %shuffle_order_engine random number generator | |
1541 | * object. | |
1542 | * | |
1543 | * @returns true if the infinite sequences of generated values | |
1544 | * would be different, false otherwise. | |
1545 | */ | |
1546 | template<typename _RandomNumberEngine, size_t __k> | |
1547 | inline bool | |
1548 | operator!=(const std::shuffle_order_engine<_RandomNumberEngine, | |
1549 | __k>& __lhs, | |
1550 | const std::shuffle_order_engine<_RandomNumberEngine, | |
1551 | __k>& __rhs) | |
1552 | { return !(__lhs == __rhs); } | |
1553 | ||
1554 | ||
8e79468d BK |
1555 | /** |
1556 | * The classic Minimum Standard rand0 of Lewis, Goodman, and Miller. | |
1557 | */ | |
1558 | typedef linear_congruential_engine<uint_fast32_t, 16807UL, 0UL, 2147483647UL> | |
1559 | minstd_rand0; | |
1560 | ||
1561 | /** | |
6cc5a790 | 1562 | * An alternative LCR (Lehmer Generator function). |
8e79468d BK |
1563 | */ |
1564 | typedef linear_congruential_engine<uint_fast32_t, 48271UL, 0UL, 2147483647UL> | |
1565 | minstd_rand; | |
1566 | ||
1567 | /** | |
1568 | * The classic Mersenne Twister. | |
1569 | * | |
1570 | * Reference: | |
2a60a9f6 BK |
1571 | * M. Matsumoto and T. Nishimura, Mersenne Twister: A 623-Dimensionally |
1572 | * Equidistributed Uniform Pseudo-Random Number Generator, ACM Transactions | |
8e79468d BK |
1573 | * on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30. |
1574 | */ | |
1575 | typedef mersenne_twister_engine< | |
1576 | uint_fast32_t, | |
1577 | 32, 624, 397, 31, | |
1578 | 0x9908b0dfUL, 11, | |
1579 | 0xffffffffUL, 7, | |
1580 | 0x9d2c5680UL, 15, | |
1581 | 0xefc60000UL, 18, 1812433253UL> mt19937; | |
1582 | ||
1583 | /** | |
1584 | * An alternative Mersenne Twister. | |
1585 | */ | |
1586 | typedef mersenne_twister_engine< | |
1587 | uint_fast64_t, | |
1588 | 64, 312, 156, 31, | |
1589 | 0xb5026f5aa96619e9ULL, 29, | |
1590 | 0x5555555555555555ULL, 17, | |
1591 | 0x71d67fffeda60000ULL, 37, | |
1592 | 0xfff7eee000000000ULL, 43, | |
1593 | 6364136223846793005ULL> mt19937_64; | |
1594 | ||
8e79468d BK |
1595 | typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24> |
1596 | ranlux24_base; | |
1597 | ||
8e79468d BK |
1598 | typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12> |
1599 | ranlux48_base; | |
1600 | ||
b94f4bef PC |
1601 | typedef discard_block_engine<ranlux24_base, 223, 23> ranlux24; |
1602 | ||
8e79468d BK |
1603 | typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48; |
1604 | ||
8e79468d BK |
1605 | typedef shuffle_order_engine<minstd_rand0, 256> knuth_b; |
1606 | ||
8e79468d BK |
1607 | typedef minstd_rand0 default_random_engine; |
1608 | ||
1609 | /** | |
1610 | * A standard interface to a platform-specific non-deterministic | |
1611 | * random number generator (if any are available). | |
1612 | */ | |
1613 | class random_device | |
1614 | { | |
1615 | public: | |
1616 | /** The type of the generated random value. */ | |
1617 | typedef unsigned int result_type; | |
1618 | ||
1619 | // constructors, destructors and member functions | |
1620 | ||
dd9db6f8 | 1621 | random_device() { _M_init("default"); } |
8e79468d BK |
1622 | |
1623 | explicit | |
dd9db6f8 | 1624 | random_device(const std::string& __token) { _M_init(__token); } |
8e79468d | 1625 | |
b0c0d878 | 1626 | #if defined _GLIBCXX_USE_DEV_RANDOM |
8e79468d | 1627 | ~random_device() |
a8c3f4c9 | 1628 | { _M_fini(); } |
8e79468d BK |
1629 | #endif |
1630 | ||
deaf34a9 PC |
1631 | static constexpr result_type |
1632 | min() | |
8e79468d BK |
1633 | { return std::numeric_limits<result_type>::min(); } |
1634 | ||
deaf34a9 PC |
1635 | static constexpr result_type |
1636 | max() | |
8e79468d BK |
1637 | { return std::numeric_limits<result_type>::max(); } |
1638 | ||
1639 | double | |
18eeaec4 | 1640 | entropy() const noexcept |
78aa76df | 1641 | { |
5ae2c32a | 1642 | #ifdef _GLIBCXX_USE_DEV_RANDOM |
78aa76df XR |
1643 | return this->_M_getentropy(); |
1644 | #else | |
1645 | return 0.0; | |
1646 | #endif | |
1647 | } | |
8e79468d BK |
1648 | |
1649 | result_type | |
1650 | operator()() | |
b0c0d878 | 1651 | { return this->_M_getval(); } |
8e79468d BK |
1652 | |
1653 | // No copy functions. | |
1654 | random_device(const random_device&) = delete; | |
1655 | void operator=(const random_device&) = delete; | |
1656 | ||
1657 | private: | |
1658 | ||
a8c3f4c9 UD |
1659 | void _M_init(const std::string& __token); |
1660 | void _M_init_pretr1(const std::string& __token); | |
1661 | void _M_fini(); | |
1662 | ||
1663 | result_type _M_getval(); | |
1664 | result_type _M_getval_pretr1(); | |
78aa76df | 1665 | double _M_getentropy() const noexcept; |
a8c3f4c9 | 1666 | |
aeedf077 JW |
1667 | void _M_init(const char*, size_t); // not exported from the shared library |
1668 | ||
42167831 | 1669 | __extension__ union |
a8c3f4c9 | 1670 | { |
b0c0d878 JW |
1671 | struct |
1672 | { | |
1673 | void* _M_file; | |
1674 | result_type (*_M_func)(void*); | |
1675 | int _M_fd; | |
1676 | }; | |
821f6f1b PC |
1677 | mt19937 _M_mt; |
1678 | }; | |
8e79468d BK |
1679 | }; |
1680 | ||
014b6dbc | 1681 | /// @} group random_generators |
8e79468d BK |
1682 | |
1683 | /** | |
037181bc BK |
1684 | * @addtogroup random_distributions Random Number Distributions |
1685 | * @ingroup random | |
8e79468d BK |
1686 | * @{ |
1687 | */ | |
1688 | ||
1689 | /** | |
94a86be0 | 1690 | * @addtogroup random_distributions_uniform Uniform Distributions |
037181bc | 1691 | * @ingroup random_distributions |
8e79468d BK |
1692 | * @{ |
1693 | */ | |
1694 | ||
0cded43d | 1695 | // std::uniform_int_distribution is defined in <bits/uniform_int_dist.h> |
8e79468d | 1696 | |
fc05e1ba PC |
1697 | /** |
1698 | * @brief Return true if two uniform integer distributions have | |
1699 | * different parameters. | |
1700 | */ | |
1701 | template<typename _IntType> | |
1702 | inline bool | |
1703 | operator!=(const std::uniform_int_distribution<_IntType>& __d1, | |
1704 | const std::uniform_int_distribution<_IntType>& __d2) | |
1705 | { return !(__d1 == __d2); } | |
1706 | ||
8e79468d BK |
1707 | /** |
1708 | * @brief Inserts a %uniform_int_distribution random number | |
1709 | * distribution @p __x into the output stream @p os. | |
1710 | * | |
1711 | * @param __os An output stream. | |
1712 | * @param __x A %uniform_int_distribution random number distribution. | |
1713 | * | |
1714 | * @returns The output stream with the state of @p __x inserted or in | |
1715 | * an error state. | |
1716 | */ | |
1717 | template<typename _IntType, typename _CharT, typename _Traits> | |
1718 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1719 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1720 | const std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1721 | |
1722 | /** | |
1723 | * @brief Extracts a %uniform_int_distribution random number distribution | |
1724 | * @p __x from the input stream @p __is. | |
1725 | * | |
1726 | * @param __is An input stream. | |
1727 | * @param __x A %uniform_int_distribution random number generator engine. | |
1728 | * | |
1729 | * @returns The input stream with @p __x extracted or in an error state. | |
1730 | */ | |
1731 | template<typename _IntType, typename _CharT, typename _Traits> | |
1732 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1733 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1734 | std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1735 | |
1736 | ||
1737 | /** | |
1738 | * @brief Uniform continuous distribution for random numbers. | |
1739 | * | |
1740 | * A continuous random distribution on the range [min, max) with equal | |
1741 | * probability throughout the range. The URNG should be real-valued and | |
1742 | * deliver number in the range [0, 1). | |
1743 | */ | |
1744 | template<typename _RealType = double> | |
1745 | class uniform_real_distribution | |
1746 | { | |
77e3c516 | 1747 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 1748 | "result_type must be a floating point type"); |
77e3c516 | 1749 | |
8e79468d BK |
1750 | public: |
1751 | /** The type of the range of the distribution. */ | |
1752 | typedef _RealType result_type; | |
12905f10 | 1753 | |
8e79468d BK |
1754 | /** Parameter type. */ |
1755 | struct param_type | |
1756 | { | |
1757 | typedef uniform_real_distribution<_RealType> distribution_type; | |
1758 | ||
977ac63e JW |
1759 | param_type() : param_type(0) { } |
1760 | ||
8e79468d | 1761 | explicit |
977ac63e | 1762 | param_type(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
1763 | : _M_a(__a), _M_b(__b) |
1764 | { | |
2f1e8e7c | 1765 | __glibcxx_assert(_M_a <= _M_b); |
8e79468d BK |
1766 | } |
1767 | ||
1768 | result_type | |
1769 | a() const | |
1770 | { return _M_a; } | |
1771 | ||
1772 | result_type | |
1773 | b() const | |
1774 | { return _M_b; } | |
1775 | ||
fc05e1ba PC |
1776 | friend bool |
1777 | operator==(const param_type& __p1, const param_type& __p2) | |
1778 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
1779 | ||
12905f10 JW |
1780 | friend bool |
1781 | operator!=(const param_type& __p1, const param_type& __p2) | |
1782 | { return !(__p1 == __p2); } | |
1783 | ||
8e79468d BK |
1784 | private: |
1785 | _RealType _M_a; | |
1786 | _RealType _M_b; | |
1787 | }; | |
1788 | ||
1789 | public: | |
dd9db6f8 JW |
1790 | /** |
1791 | * @brief Constructs a uniform_real_distribution object. | |
1792 | * | |
1793 | * The lower bound is set to 0.0 and the upper bound to 1.0 | |
1794 | */ | |
1795 | uniform_real_distribution() : uniform_real_distribution(0.0) { } | |
1796 | ||
8e79468d BK |
1797 | /** |
1798 | * @brief Constructs a uniform_real_distribution object. | |
1799 | * | |
93c66bc6 BK |
1800 | * @param __a [IN] The lower bound of the distribution. |
1801 | * @param __b [IN] The upper bound of the distribution. | |
8e79468d BK |
1802 | */ |
1803 | explicit | |
dd9db6f8 | 1804 | uniform_real_distribution(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
1805 | : _M_param(__a, __b) |
1806 | { } | |
1807 | ||
1808 | explicit | |
1809 | uniform_real_distribution(const param_type& __p) | |
1810 | : _M_param(__p) | |
1811 | { } | |
1812 | ||
1813 | /** | |
1814 | * @brief Resets the distribution state. | |
1815 | * | |
1816 | * Does nothing for the uniform real distribution. | |
1817 | */ | |
1818 | void | |
1819 | reset() { } | |
1820 | ||
1821 | result_type | |
1822 | a() const | |
1823 | { return _M_param.a(); } | |
1824 | ||
1825 | result_type | |
1826 | b() const | |
1827 | { return _M_param.b(); } | |
1828 | ||
247d8075 PC |
1829 | /** |
1830 | * @brief Returns the parameter set of the distribution. | |
1831 | */ | |
1832 | param_type | |
1833 | param() const | |
1834 | { return _M_param; } | |
1835 | ||
1836 | /** | |
1837 | * @brief Sets the parameter set of the distribution. | |
1838 | * @param __param The new parameter set of the distribution. | |
1839 | */ | |
1840 | void | |
1841 | param(const param_type& __param) | |
1842 | { _M_param = __param; } | |
1843 | ||
8e79468d BK |
1844 | /** |
1845 | * @brief Returns the inclusive lower bound of the distribution range. | |
1846 | */ | |
1847 | result_type | |
1848 | min() const | |
1849 | { return this->a(); } | |
1850 | ||
1851 | /** | |
1852 | * @brief Returns the inclusive upper bound of the distribution range. | |
1853 | */ | |
1854 | result_type | |
1855 | max() const | |
1856 | { return this->b(); } | |
1857 | ||
1858 | /** | |
247d8075 | 1859 | * @brief Generating functions. |
8e79468d | 1860 | */ |
8e79468d BK |
1861 | template<typename _UniformRandomNumberGenerator> |
1862 | result_type | |
1863 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 1864 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
1865 | |
1866 | template<typename _UniformRandomNumberGenerator> | |
1867 | result_type | |
1868 | operator()(_UniformRandomNumberGenerator& __urng, | |
1869 | const param_type& __p) | |
1870 | { | |
1871 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
1872 | __aurng(__urng); | |
1873 | return (__aurng() * (__p.b() - __p.a())) + __p.a(); | |
1874 | } | |
1875 | ||
7b93bdde UD |
1876 | template<typename _ForwardIterator, |
1877 | typename _UniformRandomNumberGenerator> | |
1878 | void | |
1879 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1880 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 1881 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
1882 | |
1883 | template<typename _ForwardIterator, | |
1884 | typename _UniformRandomNumberGenerator> | |
1885 | void | |
1886 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1887 | _UniformRandomNumberGenerator& __urng, | |
1888 | const param_type& __p) | |
1889 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1890 | ||
1891 | template<typename _UniformRandomNumberGenerator> | |
1892 | void | |
1893 | __generate(result_type* __f, result_type* __t, | |
1894 | _UniformRandomNumberGenerator& __urng, | |
1895 | const param_type& __p) | |
1896 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1897 | ||
5bcb3b4d PC |
1898 | /** |
1899 | * @brief Return true if two uniform real distributions have | |
1900 | * the same parameters. | |
1901 | */ | |
1902 | friend bool | |
1903 | operator==(const uniform_real_distribution& __d1, | |
1904 | const uniform_real_distribution& __d2) | |
1905 | { return __d1._M_param == __d2._M_param; } | |
1906 | ||
8e79468d | 1907 | private: |
7b93bdde UD |
1908 | template<typename _ForwardIterator, |
1909 | typename _UniformRandomNumberGenerator> | |
1910 | void | |
1911 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
1912 | _UniformRandomNumberGenerator& __urng, | |
1913 | const param_type& __p); | |
1914 | ||
8e79468d BK |
1915 | param_type _M_param; |
1916 | }; | |
1917 | ||
fc05e1ba PC |
1918 | /** |
1919 | * @brief Return true if two uniform real distributions have | |
1920 | * different parameters. | |
1921 | */ | |
1922 | template<typename _IntType> | |
1923 | inline bool | |
1924 | operator!=(const std::uniform_real_distribution<_IntType>& __d1, | |
1925 | const std::uniform_real_distribution<_IntType>& __d2) | |
1926 | { return !(__d1 == __d2); } | |
1927 | ||
8e79468d BK |
1928 | /** |
1929 | * @brief Inserts a %uniform_real_distribution random number | |
1930 | * distribution @p __x into the output stream @p __os. | |
1931 | * | |
1932 | * @param __os An output stream. | |
1933 | * @param __x A %uniform_real_distribution random number distribution. | |
1934 | * | |
1935 | * @returns The output stream with the state of @p __x inserted or in | |
1936 | * an error state. | |
1937 | */ | |
1938 | template<typename _RealType, typename _CharT, typename _Traits> | |
1939 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1940 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1941 | const std::uniform_real_distribution<_RealType>&); | |
8e79468d BK |
1942 | |
1943 | /** | |
1944 | * @brief Extracts a %uniform_real_distribution random number distribution | |
1945 | * @p __x from the input stream @p __is. | |
1946 | * | |
1947 | * @param __is An input stream. | |
1948 | * @param __x A %uniform_real_distribution random number generator engine. | |
1949 | * | |
1950 | * @returns The input stream with @p __x extracted or in an error state. | |
1951 | */ | |
1952 | template<typename _RealType, typename _CharT, typename _Traits> | |
1953 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1954 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1955 | std::uniform_real_distribution<_RealType>&); | |
8e79468d | 1956 | |
014b6dbc | 1957 | /// @} group random_distributions_uniform |
8e79468d BK |
1958 | |
1959 | /** | |
94a86be0 | 1960 | * @addtogroup random_distributions_normal Normal Distributions |
037181bc | 1961 | * @ingroup random_distributions |
8e79468d BK |
1962 | * @{ |
1963 | */ | |
1964 | ||
1965 | /** | |
1966 | * @brief A normal continuous distribution for random numbers. | |
1967 | * | |
1968 | * The formula for the normal probability density function is | |
6cc5a790 BK |
1969 | * @f[ |
1970 | * p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}} | |
1971 | * e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } | |
1972 | * @f] | |
8e79468d BK |
1973 | */ |
1974 | template<typename _RealType = double> | |
1975 | class normal_distribution | |
1976 | { | |
77e3c516 | 1977 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 1978 | "result_type must be a floating point type"); |
77e3c516 | 1979 | |
8e79468d BK |
1980 | public: |
1981 | /** The type of the range of the distribution. */ | |
1982 | typedef _RealType result_type; | |
12905f10 | 1983 | |
8e79468d BK |
1984 | /** Parameter type. */ |
1985 | struct param_type | |
1986 | { | |
1987 | typedef normal_distribution<_RealType> distribution_type; | |
1988 | ||
977ac63e JW |
1989 | param_type() : param_type(0.0) { } |
1990 | ||
8e79468d | 1991 | explicit |
977ac63e | 1992 | param_type(_RealType __mean, _RealType __stddev = _RealType(1)) |
8e79468d BK |
1993 | : _M_mean(__mean), _M_stddev(__stddev) |
1994 | { | |
2f1e8e7c | 1995 | __glibcxx_assert(_M_stddev > _RealType(0)); |
8e79468d BK |
1996 | } |
1997 | ||
1998 | _RealType | |
1999 | mean() const | |
2000 | { return _M_mean; } | |
2001 | ||
2002 | _RealType | |
2003 | stddev() const | |
2004 | { return _M_stddev; } | |
2005 | ||
fc05e1ba PC |
2006 | friend bool |
2007 | operator==(const param_type& __p1, const param_type& __p2) | |
2008 | { return (__p1._M_mean == __p2._M_mean | |
2009 | && __p1._M_stddev == __p2._M_stddev); } | |
2010 | ||
12905f10 JW |
2011 | friend bool |
2012 | operator!=(const param_type& __p1, const param_type& __p2) | |
2013 | { return !(__p1 == __p2); } | |
2014 | ||
8e79468d BK |
2015 | private: |
2016 | _RealType _M_mean; | |
2017 | _RealType _M_stddev; | |
2018 | }; | |
2019 | ||
2020 | public: | |
dd9db6f8 JW |
2021 | normal_distribution() : normal_distribution(0.0) { } |
2022 | ||
8e79468d | 2023 | /** |
6cc5a790 | 2024 | * Constructs a normal distribution with parameters @f$mean@f$ and |
8e79468d BK |
2025 | * standard deviation. |
2026 | */ | |
2027 | explicit | |
dd9db6f8 | 2028 | normal_distribution(result_type __mean, |
8e79468d | 2029 | result_type __stddev = result_type(1)) |
67e39766 | 2030 | : _M_param(__mean, __stddev) |
8e79468d BK |
2031 | { } |
2032 | ||
2033 | explicit | |
2034 | normal_distribution(const param_type& __p) | |
67e39766 | 2035 | : _M_param(__p) |
8e79468d BK |
2036 | { } |
2037 | ||
2038 | /** | |
2039 | * @brief Resets the distribution state. | |
2040 | */ | |
2041 | void | |
2042 | reset() | |
2043 | { _M_saved_available = false; } | |
2044 | ||
2045 | /** | |
2046 | * @brief Returns the mean of the distribution. | |
2047 | */ | |
2048 | _RealType | |
2049 | mean() const | |
2050 | { return _M_param.mean(); } | |
2051 | ||
2052 | /** | |
2053 | * @brief Returns the standard deviation of the distribution. | |
2054 | */ | |
2055 | _RealType | |
2056 | stddev() const | |
2057 | { return _M_param.stddev(); } | |
2058 | ||
2059 | /** | |
2060 | * @brief Returns the parameter set of the distribution. | |
2061 | */ | |
2062 | param_type | |
2063 | param() const | |
2064 | { return _M_param; } | |
2065 | ||
2066 | /** | |
2067 | * @brief Sets the parameter set of the distribution. | |
2068 | * @param __param The new parameter set of the distribution. | |
2069 | */ | |
2070 | void | |
2071 | param(const param_type& __param) | |
2072 | { _M_param = __param; } | |
2073 | ||
2074 | /** | |
2075 | * @brief Returns the greatest lower bound value of the distribution. | |
2076 | */ | |
2077 | result_type | |
2078 | min() const | |
a803975d | 2079 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
2080 | |
2081 | /** | |
2082 | * @brief Returns the least upper bound value of the distribution. | |
2083 | */ | |
2084 | result_type | |
2085 | max() const | |
2086 | { return std::numeric_limits<result_type>::max(); } | |
2087 | ||
247d8075 PC |
2088 | /** |
2089 | * @brief Generating functions. | |
2090 | */ | |
8e79468d BK |
2091 | template<typename _UniformRandomNumberGenerator> |
2092 | result_type | |
2093 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2094 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2095 | |
2096 | template<typename _UniformRandomNumberGenerator> | |
2097 | result_type | |
2098 | operator()(_UniformRandomNumberGenerator& __urng, | |
2099 | const param_type& __p); | |
2100 | ||
7b93bdde UD |
2101 | template<typename _ForwardIterator, |
2102 | typename _UniformRandomNumberGenerator> | |
2103 | void | |
2104 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2105 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2106 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2107 | |
2108 | template<typename _ForwardIterator, | |
2109 | typename _UniformRandomNumberGenerator> | |
2110 | void | |
2111 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2112 | _UniformRandomNumberGenerator& __urng, | |
2113 | const param_type& __p) | |
2114 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2115 | ||
2116 | template<typename _UniformRandomNumberGenerator> | |
2117 | void | |
2118 | __generate(result_type* __f, result_type* __t, | |
2119 | _UniformRandomNumberGenerator& __urng, | |
2120 | const param_type& __p) | |
2121 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2122 | ||
fc05e1ba PC |
2123 | /** |
2124 | * @brief Return true if two normal distributions have | |
2125 | * the same parameters and the sequences that would | |
2126 | * be generated are equal. | |
2127 | */ | |
2128 | template<typename _RealType1> | |
2129 | friend bool | |
2130 | operator==(const std::normal_distribution<_RealType1>& __d1, | |
2131 | const std::normal_distribution<_RealType1>& __d2); | |
2132 | ||
8e79468d BK |
2133 | /** |
2134 | * @brief Inserts a %normal_distribution random number distribution | |
2135 | * @p __x into the output stream @p __os. | |
2136 | * | |
2137 | * @param __os An output stream. | |
2138 | * @param __x A %normal_distribution random number distribution. | |
2139 | * | |
2140 | * @returns The output stream with the state of @p __x inserted or in | |
2141 | * an error state. | |
2142 | */ | |
2143 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2144 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2145 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2146 | const std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2147 | |
2148 | /** | |
2149 | * @brief Extracts a %normal_distribution random number distribution | |
2150 | * @p __x from the input stream @p __is. | |
2151 | * | |
2152 | * @param __is An input stream. | |
2153 | * @param __x A %normal_distribution random number generator engine. | |
2154 | * | |
2155 | * @returns The input stream with @p __x extracted or in an error | |
2156 | * state. | |
2157 | */ | |
2158 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2159 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2160 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2161 | std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2162 | |
2163 | private: | |
7b93bdde UD |
2164 | template<typename _ForwardIterator, |
2165 | typename _UniformRandomNumberGenerator> | |
2166 | void | |
2167 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2168 | _UniformRandomNumberGenerator& __urng, | |
2169 | const param_type& __p); | |
2170 | ||
8e79468d | 2171 | param_type _M_param; |
67e39766 JW |
2172 | result_type _M_saved = 0; |
2173 | bool _M_saved_available = false; | |
8e79468d BK |
2174 | }; |
2175 | ||
fc05e1ba PC |
2176 | /** |
2177 | * @brief Return true if two normal distributions are different. | |
2178 | */ | |
2179 | template<typename _RealType> | |
2180 | inline bool | |
2181 | operator!=(const std::normal_distribution<_RealType>& __d1, | |
2182 | const std::normal_distribution<_RealType>& __d2) | |
2183 | { return !(__d1 == __d2); } | |
2184 | ||
8e79468d BK |
2185 | |
2186 | /** | |
2187 | * @brief A lognormal_distribution random number distribution. | |
2188 | * | |
2189 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
2190 | * @f[ |
2191 | * p(x|m,s) = \frac{1}{sx\sqrt{2\pi}} | |
2192 | * \exp{-\frac{(\ln{x} - m)^2}{2s^2}} | |
2193 | * @f] | |
8e79468d BK |
2194 | */ |
2195 | template<typename _RealType = double> | |
2196 | class lognormal_distribution | |
2197 | { | |
77e3c516 | 2198 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2199 | "result_type must be a floating point type"); |
77e3c516 | 2200 | |
8e79468d BK |
2201 | public: |
2202 | /** The type of the range of the distribution. */ | |
2203 | typedef _RealType result_type; | |
12905f10 | 2204 | |
8e79468d BK |
2205 | /** Parameter type. */ |
2206 | struct param_type | |
2207 | { | |
2208 | typedef lognormal_distribution<_RealType> distribution_type; | |
2209 | ||
977ac63e JW |
2210 | param_type() : param_type(0.0) { } |
2211 | ||
8e79468d | 2212 | explicit |
977ac63e | 2213 | param_type(_RealType __m, _RealType __s = _RealType(1)) |
8e79468d BK |
2214 | : _M_m(__m), _M_s(__s) |
2215 | { } | |
2216 | ||
2217 | _RealType | |
2218 | m() const | |
2219 | { return _M_m; } | |
2220 | ||
2221 | _RealType | |
2222 | s() const | |
2223 | { return _M_s; } | |
2224 | ||
fc05e1ba PC |
2225 | friend bool |
2226 | operator==(const param_type& __p1, const param_type& __p2) | |
2227 | { return __p1._M_m == __p2._M_m && __p1._M_s == __p2._M_s; } | |
2228 | ||
12905f10 JW |
2229 | friend bool |
2230 | operator!=(const param_type& __p1, const param_type& __p2) | |
2231 | { return !(__p1 == __p2); } | |
2232 | ||
8e79468d BK |
2233 | private: |
2234 | _RealType _M_m; | |
2235 | _RealType _M_s; | |
2236 | }; | |
2237 | ||
dd9db6f8 JW |
2238 | lognormal_distribution() : lognormal_distribution(0.0) { } |
2239 | ||
8e79468d | 2240 | explicit |
dd9db6f8 | 2241 | lognormal_distribution(_RealType __m, _RealType __s = _RealType(1)) |
b01630bb | 2242 | : _M_param(__m, __s), _M_nd() |
8e79468d BK |
2243 | { } |
2244 | ||
2245 | explicit | |
2246 | lognormal_distribution(const param_type& __p) | |
b01630bb | 2247 | : _M_param(__p), _M_nd() |
8e79468d BK |
2248 | { } |
2249 | ||
2250 | /** | |
2251 | * Resets the distribution state. | |
2252 | */ | |
2253 | void | |
2254 | reset() | |
b01630bb | 2255 | { _M_nd.reset(); } |
8e79468d BK |
2256 | |
2257 | /** | |
2258 | * | |
2259 | */ | |
2260 | _RealType | |
2261 | m() const | |
2262 | { return _M_param.m(); } | |
2263 | ||
2264 | _RealType | |
2265 | s() const | |
2266 | { return _M_param.s(); } | |
2267 | ||
2268 | /** | |
2269 | * @brief Returns the parameter set of the distribution. | |
2270 | */ | |
2271 | param_type | |
2272 | param() const | |
2273 | { return _M_param; } | |
2274 | ||
2275 | /** | |
2276 | * @brief Sets the parameter set of the distribution. | |
2277 | * @param __param The new parameter set of the distribution. | |
2278 | */ | |
2279 | void | |
2280 | param(const param_type& __param) | |
2281 | { _M_param = __param; } | |
2282 | ||
2283 | /** | |
2284 | * @brief Returns the greatest lower bound value of the distribution. | |
2285 | */ | |
2286 | result_type | |
2287 | min() const | |
2288 | { return result_type(0); } | |
2289 | ||
2290 | /** | |
2291 | * @brief Returns the least upper bound value of the distribution. | |
2292 | */ | |
2293 | result_type | |
2294 | max() const | |
2295 | { return std::numeric_limits<result_type>::max(); } | |
2296 | ||
247d8075 PC |
2297 | /** |
2298 | * @brief Generating functions. | |
2299 | */ | |
8e79468d BK |
2300 | template<typename _UniformRandomNumberGenerator> |
2301 | result_type | |
2302 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2303 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2304 | |
2305 | template<typename _UniformRandomNumberGenerator> | |
2306 | result_type | |
2307 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb PC |
2308 | const param_type& __p) |
2309 | { return std::exp(__p.s() * _M_nd(__urng) + __p.m()); } | |
8e79468d | 2310 | |
7b93bdde UD |
2311 | template<typename _ForwardIterator, |
2312 | typename _UniformRandomNumberGenerator> | |
2313 | void | |
2314 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2315 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2316 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2317 | |
2318 | template<typename _ForwardIterator, | |
2319 | typename _UniformRandomNumberGenerator> | |
2320 | void | |
2321 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2322 | _UniformRandomNumberGenerator& __urng, | |
2323 | const param_type& __p) | |
2324 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2325 | ||
2326 | template<typename _UniformRandomNumberGenerator> | |
2327 | void | |
2328 | __generate(result_type* __f, result_type* __t, | |
2329 | _UniformRandomNumberGenerator& __urng, | |
2330 | const param_type& __p) | |
2331 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2332 | ||
fc05e1ba PC |
2333 | /** |
2334 | * @brief Return true if two lognormal distributions have | |
2335 | * the same parameters and the sequences that would | |
2336 | * be generated are equal. | |
2337 | */ | |
a30e18c1 MG |
2338 | friend bool |
2339 | operator==(const lognormal_distribution& __d1, | |
2340 | const lognormal_distribution& __d2) | |
5bcb3b4d | 2341 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 2342 | && __d1._M_nd == __d2._M_nd); } |
fc05e1ba | 2343 | |
e1923769 ESR |
2344 | /** |
2345 | * @brief Inserts a %lognormal_distribution random number distribution | |
2346 | * @p __x into the output stream @p __os. | |
2347 | * | |
2348 | * @param __os An output stream. | |
2349 | * @param __x A %lognormal_distribution random number distribution. | |
2350 | * | |
2351 | * @returns The output stream with the state of @p __x inserted or in | |
2352 | * an error state. | |
2353 | */ | |
2354 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2355 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2356 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2357 | const std::lognormal_distribution<_RealType1>& __x); | |
e1923769 ESR |
2358 | |
2359 | /** | |
2360 | * @brief Extracts a %lognormal_distribution random number distribution | |
2361 | * @p __x from the input stream @p __is. | |
2362 | * | |
2363 | * @param __is An input stream. | |
2364 | * @param __x A %lognormal_distribution random number | |
2365 | * generator engine. | |
2366 | * | |
2367 | * @returns The input stream with @p __x extracted or in an error state. | |
2368 | */ | |
2369 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2370 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2371 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2372 | std::lognormal_distribution<_RealType1>& __x); | |
e1923769 | 2373 | |
8e79468d | 2374 | private: |
7b93bdde UD |
2375 | template<typename _ForwardIterator, |
2376 | typename _UniformRandomNumberGenerator> | |
2377 | void | |
2378 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2379 | _UniformRandomNumberGenerator& __urng, | |
2380 | const param_type& __p); | |
2381 | ||
8e79468d | 2382 | param_type _M_param; |
b01630bb | 2383 | |
f9b09dec | 2384 | std::normal_distribution<result_type> _M_nd; |
8e79468d BK |
2385 | }; |
2386 | ||
fc05e1ba PC |
2387 | /** |
2388 | * @brief Return true if two lognormal distributions are different. | |
2389 | */ | |
2390 | template<typename _RealType> | |
2391 | inline bool | |
2392 | operator!=(const std::lognormal_distribution<_RealType>& __d1, | |
2393 | const std::lognormal_distribution<_RealType>& __d2) | |
2394 | { return !(__d1 == __d2); } | |
2395 | ||
2396 | ||
f9b09dec PC |
2397 | /** |
2398 | * @brief A gamma continuous distribution for random numbers. | |
2399 | * | |
6cc5a790 BK |
2400 | * The formula for the gamma probability density function is: |
2401 | * @f[ | |
2402 | * p(x|\alpha,\beta) = \frac{1}{\beta\Gamma(\alpha)} | |
2403 | * (x/\beta)^{\alpha - 1} e^{-x/\beta} | |
2404 | * @f] | |
f9b09dec PC |
2405 | */ |
2406 | template<typename _RealType = double> | |
2407 | class gamma_distribution | |
2408 | { | |
77e3c516 | 2409 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2410 | "result_type must be a floating point type"); |
77e3c516 | 2411 | |
f9b09dec PC |
2412 | public: |
2413 | /** The type of the range of the distribution. */ | |
2414 | typedef _RealType result_type; | |
12905f10 | 2415 | |
f9b09dec PC |
2416 | /** Parameter type. */ |
2417 | struct param_type | |
2418 | { | |
2419 | typedef gamma_distribution<_RealType> distribution_type; | |
2420 | friend class gamma_distribution<_RealType>; | |
2421 | ||
977ac63e JW |
2422 | param_type() : param_type(1.0) { } |
2423 | ||
f9b09dec | 2424 | explicit |
977ac63e | 2425 | param_type(_RealType __alpha_val, _RealType __beta_val = _RealType(1)) |
f9b09dec PC |
2426 | : _M_alpha(__alpha_val), _M_beta(__beta_val) |
2427 | { | |
2f1e8e7c | 2428 | __glibcxx_assert(_M_alpha > _RealType(0)); |
f9b09dec PC |
2429 | _M_initialize(); |
2430 | } | |
2431 | ||
2432 | _RealType | |
2433 | alpha() const | |
2434 | { return _M_alpha; } | |
2435 | ||
2436 | _RealType | |
2437 | beta() const | |
2438 | { return _M_beta; } | |
2439 | ||
fc05e1ba PC |
2440 | friend bool |
2441 | operator==(const param_type& __p1, const param_type& __p2) | |
2442 | { return (__p1._M_alpha == __p2._M_alpha | |
2443 | && __p1._M_beta == __p2._M_beta); } | |
2444 | ||
12905f10 JW |
2445 | friend bool |
2446 | operator!=(const param_type& __p1, const param_type& __p2) | |
2447 | { return !(__p1 == __p2); } | |
2448 | ||
f9b09dec PC |
2449 | private: |
2450 | void | |
2451 | _M_initialize(); | |
2452 | ||
2453 | _RealType _M_alpha; | |
2454 | _RealType _M_beta; | |
2455 | ||
2456 | _RealType _M_malpha, _M_a2; | |
2457 | }; | |
2458 | ||
2459 | public: | |
dd9db6f8 JW |
2460 | /** |
2461 | * @brief Constructs a gamma distribution with parameters 1 and 1. | |
2462 | */ | |
2463 | gamma_distribution() : gamma_distribution(1.0) { } | |
2464 | ||
f9b09dec PC |
2465 | /** |
2466 | * @brief Constructs a gamma distribution with parameters | |
6cc5a790 | 2467 | * @f$\alpha@f$ and @f$\beta@f$. |
f9b09dec PC |
2468 | */ |
2469 | explicit | |
dd9db6f8 | 2470 | gamma_distribution(_RealType __alpha_val, |
f9b09dec PC |
2471 | _RealType __beta_val = _RealType(1)) |
2472 | : _M_param(__alpha_val, __beta_val), _M_nd() | |
2473 | { } | |
2474 | ||
2475 | explicit | |
2476 | gamma_distribution(const param_type& __p) | |
2477 | : _M_param(__p), _M_nd() | |
2478 | { } | |
2479 | ||
2480 | /** | |
2481 | * @brief Resets the distribution state. | |
2482 | */ | |
2483 | void | |
2484 | reset() | |
2485 | { _M_nd.reset(); } | |
2486 | ||
2487 | /** | |
6cc5a790 | 2488 | * @brief Returns the @f$\alpha@f$ of the distribution. |
f9b09dec PC |
2489 | */ |
2490 | _RealType | |
2491 | alpha() const | |
2492 | { return _M_param.alpha(); } | |
2493 | ||
2494 | /** | |
6cc5a790 | 2495 | * @brief Returns the @f$\beta@f$ of the distribution. |
f9b09dec PC |
2496 | */ |
2497 | _RealType | |
2498 | beta() const | |
2499 | { return _M_param.beta(); } | |
2500 | ||
2501 | /** | |
2502 | * @brief Returns the parameter set of the distribution. | |
2503 | */ | |
2504 | param_type | |
2505 | param() const | |
2506 | { return _M_param; } | |
2507 | ||
2508 | /** | |
2509 | * @brief Sets the parameter set of the distribution. | |
2510 | * @param __param The new parameter set of the distribution. | |
2511 | */ | |
2512 | void | |
2513 | param(const param_type& __param) | |
2514 | { _M_param = __param; } | |
2515 | ||
2516 | /** | |
2517 | * @brief Returns the greatest lower bound value of the distribution. | |
2518 | */ | |
2519 | result_type | |
2520 | min() const | |
2521 | { return result_type(0); } | |
2522 | ||
2523 | /** | |
2524 | * @brief Returns the least upper bound value of the distribution. | |
2525 | */ | |
2526 | result_type | |
2527 | max() const | |
2528 | { return std::numeric_limits<result_type>::max(); } | |
2529 | ||
247d8075 PC |
2530 | /** |
2531 | * @brief Generating functions. | |
2532 | */ | |
f9b09dec PC |
2533 | template<typename _UniformRandomNumberGenerator> |
2534 | result_type | |
2535 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2536 | { return this->operator()(__urng, _M_param); } |
f9b09dec PC |
2537 | |
2538 | template<typename _UniformRandomNumberGenerator> | |
2539 | result_type | |
2540 | operator()(_UniformRandomNumberGenerator& __urng, | |
2541 | const param_type& __p); | |
2542 | ||
7b93bdde UD |
2543 | template<typename _ForwardIterator, |
2544 | typename _UniformRandomNumberGenerator> | |
2545 | void | |
2546 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2547 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2548 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2549 | |
2550 | template<typename _ForwardIterator, | |
2551 | typename _UniformRandomNumberGenerator> | |
2552 | void | |
2553 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2554 | _UniformRandomNumberGenerator& __urng, | |
2555 | const param_type& __p) | |
2556 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2557 | ||
2558 | template<typename _UniformRandomNumberGenerator> | |
2559 | void | |
2560 | __generate(result_type* __f, result_type* __t, | |
2561 | _UniformRandomNumberGenerator& __urng, | |
2562 | const param_type& __p) | |
2563 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2564 | ||
fc05e1ba PC |
2565 | /** |
2566 | * @brief Return true if two gamma distributions have the same | |
2567 | * parameters and the sequences that would be generated | |
2568 | * are equal. | |
2569 | */ | |
a30e18c1 MG |
2570 | friend bool |
2571 | operator==(const gamma_distribution& __d1, | |
2572 | const gamma_distribution& __d2) | |
5bcb3b4d | 2573 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 2574 | && __d1._M_nd == __d2._M_nd); } |
fc05e1ba | 2575 | |
e1923769 ESR |
2576 | /** |
2577 | * @brief Inserts a %gamma_distribution random number distribution | |
2578 | * @p __x into the output stream @p __os. | |
2579 | * | |
2580 | * @param __os An output stream. | |
2581 | * @param __x A %gamma_distribution random number distribution. | |
2582 | * | |
2583 | * @returns The output stream with the state of @p __x inserted or in | |
2584 | * an error state. | |
2585 | */ | |
2586 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2587 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2588 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2589 | const std::gamma_distribution<_RealType1>& __x); | |
e1923769 ESR |
2590 | |
2591 | /** | |
2592 | * @brief Extracts a %gamma_distribution random number distribution | |
2593 | * @p __x from the input stream @p __is. | |
2594 | * | |
2595 | * @param __is An input stream. | |
2596 | * @param __x A %gamma_distribution random number generator engine. | |
2597 | * | |
2598 | * @returns The input stream with @p __x extracted or in an error state. | |
2599 | */ | |
2600 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2601 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2602 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2603 | std::gamma_distribution<_RealType1>& __x); | |
e1923769 | 2604 | |
f9b09dec | 2605 | private: |
7b93bdde UD |
2606 | template<typename _ForwardIterator, |
2607 | typename _UniformRandomNumberGenerator> | |
2608 | void | |
2609 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2610 | _UniformRandomNumberGenerator& __urng, | |
2611 | const param_type& __p); | |
2612 | ||
f9b09dec PC |
2613 | param_type _M_param; |
2614 | ||
2615 | std::normal_distribution<result_type> _M_nd; | |
2616 | }; | |
2617 | ||
fc05e1ba PC |
2618 | /** |
2619 | * @brief Return true if two gamma distributions are different. | |
2620 | */ | |
2621 | template<typename _RealType> | |
a30e18c1 | 2622 | inline bool |
fc05e1ba PC |
2623 | operator!=(const std::gamma_distribution<_RealType>& __d1, |
2624 | const std::gamma_distribution<_RealType>& __d2) | |
2625 | { return !(__d1 == __d2); } | |
2626 | ||
8e79468d BK |
2627 | |
2628 | /** | |
2629 | * @brief A chi_squared_distribution random number distribution. | |
2630 | * | |
2631 | * The formula for the normal probability mass function is | |
6cc5a790 | 2632 | * @f$p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}}@f$ |
8e79468d BK |
2633 | */ |
2634 | template<typename _RealType = double> | |
2635 | class chi_squared_distribution | |
2636 | { | |
77e3c516 | 2637 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2638 | "result_type must be a floating point type"); |
77e3c516 | 2639 | |
8e79468d BK |
2640 | public: |
2641 | /** The type of the range of the distribution. */ | |
2642 | typedef _RealType result_type; | |
12905f10 | 2643 | |
8e79468d BK |
2644 | /** Parameter type. */ |
2645 | struct param_type | |
2646 | { | |
2647 | typedef chi_squared_distribution<_RealType> distribution_type; | |
2648 | ||
977ac63e JW |
2649 | param_type() : param_type(1) { } |
2650 | ||
8e79468d | 2651 | explicit |
977ac63e | 2652 | param_type(_RealType __n) |
8e79468d BK |
2653 | : _M_n(__n) |
2654 | { } | |
2655 | ||
2656 | _RealType | |
2657 | n() const | |
2658 | { return _M_n; } | |
2659 | ||
fc05e1ba PC |
2660 | friend bool |
2661 | operator==(const param_type& __p1, const param_type& __p2) | |
2662 | { return __p1._M_n == __p2._M_n; } | |
2663 | ||
12905f10 JW |
2664 | friend bool |
2665 | operator!=(const param_type& __p1, const param_type& __p2) | |
2666 | { return !(__p1 == __p2); } | |
2667 | ||
8e79468d BK |
2668 | private: |
2669 | _RealType _M_n; | |
2670 | }; | |
2671 | ||
dd9db6f8 JW |
2672 | chi_squared_distribution() : chi_squared_distribution(1) { } |
2673 | ||
8e79468d | 2674 | explicit |
dd9db6f8 | 2675 | chi_squared_distribution(_RealType __n) |
f9b09dec | 2676 | : _M_param(__n), _M_gd(__n / 2) |
8e79468d BK |
2677 | { } |
2678 | ||
2679 | explicit | |
2680 | chi_squared_distribution(const param_type& __p) | |
f9b09dec | 2681 | : _M_param(__p), _M_gd(__p.n() / 2) |
8e79468d BK |
2682 | { } |
2683 | ||
2684 | /** | |
2685 | * @brief Resets the distribution state. | |
2686 | */ | |
2687 | void | |
2688 | reset() | |
f9b09dec | 2689 | { _M_gd.reset(); } |
8e79468d BK |
2690 | |
2691 | /** | |
2692 | * | |
2693 | */ | |
2694 | _RealType | |
2695 | n() const | |
2696 | { return _M_param.n(); } | |
2697 | ||
2698 | /** | |
2699 | * @brief Returns the parameter set of the distribution. | |
2700 | */ | |
2701 | param_type | |
2702 | param() const | |
2703 | { return _M_param; } | |
2704 | ||
2705 | /** | |
2706 | * @brief Sets the parameter set of the distribution. | |
2707 | * @param __param The new parameter set of the distribution. | |
2708 | */ | |
2709 | void | |
2710 | param(const param_type& __param) | |
8b3085e7 JW |
2711 | { |
2712 | _M_param = __param; | |
2713 | typedef typename std::gamma_distribution<result_type>::param_type | |
2714 | param_type; | |
2715 | _M_gd.param(param_type{__param.n() / 2}); | |
2716 | } | |
8e79468d BK |
2717 | |
2718 | /** | |
2719 | * @brief Returns the greatest lower bound value of the distribution. | |
2720 | */ | |
2721 | result_type | |
2722 | min() const | |
2723 | { return result_type(0); } | |
2724 | ||
2725 | /** | |
2726 | * @brief Returns the least upper bound value of the distribution. | |
2727 | */ | |
2728 | result_type | |
2729 | max() const | |
2730 | { return std::numeric_limits<result_type>::max(); } | |
2731 | ||
247d8075 PC |
2732 | /** |
2733 | * @brief Generating functions. | |
2734 | */ | |
8e79468d BK |
2735 | template<typename _UniformRandomNumberGenerator> |
2736 | result_type | |
2737 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 2738 | { return 2 * _M_gd(__urng); } |
8e79468d BK |
2739 | |
2740 | template<typename _UniformRandomNumberGenerator> | |
2741 | result_type | |
2742 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
2743 | const param_type& __p) |
2744 | { | |
2745 | typedef typename std::gamma_distribution<result_type>::param_type | |
2746 | param_type; | |
2747 | return 2 * _M_gd(__urng, param_type(__p.n() / 2)); | |
2748 | } | |
8e79468d | 2749 | |
7b93bdde UD |
2750 | template<typename _ForwardIterator, |
2751 | typename _UniformRandomNumberGenerator> | |
2752 | void | |
2753 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2754 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2755 | { this->__generate_impl(__f, __t, __urng); } |
7b93bdde UD |
2756 | |
2757 | template<typename _ForwardIterator, | |
2758 | typename _UniformRandomNumberGenerator> | |
2759 | void | |
2760 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2761 | _UniformRandomNumberGenerator& __urng, | |
2762 | const param_type& __p) | |
2763 | { typename std::gamma_distribution<result_type>::param_type | |
2764 | __p2(__p.n() / 2); | |
2765 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2766 | ||
2767 | template<typename _UniformRandomNumberGenerator> | |
2768 | void | |
2769 | __generate(result_type* __f, result_type* __t, | |
2770 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2771 | { this->__generate_impl(__f, __t, __urng); } |
7b93bdde UD |
2772 | |
2773 | template<typename _UniformRandomNumberGenerator> | |
2774 | void | |
2775 | __generate(result_type* __f, result_type* __t, | |
2776 | _UniformRandomNumberGenerator& __urng, | |
2777 | const param_type& __p) | |
2778 | { typename std::gamma_distribution<result_type>::param_type | |
2779 | __p2(__p.n() / 2); | |
2780 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2781 | ||
fc05e1ba PC |
2782 | /** |
2783 | * @brief Return true if two Chi-squared distributions have | |
2784 | * the same parameters and the sequences that would be | |
2785 | * generated are equal. | |
2786 | */ | |
a30e18c1 MG |
2787 | friend bool |
2788 | operator==(const chi_squared_distribution& __d1, | |
2789 | const chi_squared_distribution& __d2) | |
5bcb3b4d | 2790 | { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; } |
fc05e1ba | 2791 | |
e1923769 ESR |
2792 | /** |
2793 | * @brief Inserts a %chi_squared_distribution random number distribution | |
2794 | * @p __x into the output stream @p __os. | |
2795 | * | |
2796 | * @param __os An output stream. | |
2797 | * @param __x A %chi_squared_distribution random number distribution. | |
2798 | * | |
2799 | * @returns The output stream with the state of @p __x inserted or in | |
2800 | * an error state. | |
2801 | */ | |
2802 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2803 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2804 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2805 | const std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 ESR |
2806 | |
2807 | /** | |
2808 | * @brief Extracts a %chi_squared_distribution random number distribution | |
2809 | * @p __x from the input stream @p __is. | |
2810 | * | |
2811 | * @param __is An input stream. | |
2812 | * @param __x A %chi_squared_distribution random number | |
2813 | * generator engine. | |
2814 | * | |
2815 | * @returns The input stream with @p __x extracted or in an error state. | |
2816 | */ | |
2817 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2818 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2819 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2820 | std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 | 2821 | |
8e79468d | 2822 | private: |
5bcb3b4d PC |
2823 | template<typename _ForwardIterator, |
2824 | typename _UniformRandomNumberGenerator> | |
2825 | void | |
2826 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2827 | _UniformRandomNumberGenerator& __urng); | |
2828 | ||
7b93bdde UD |
2829 | template<typename _ForwardIterator, |
2830 | typename _UniformRandomNumberGenerator> | |
2831 | void | |
2832 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2833 | _UniformRandomNumberGenerator& __urng, | |
5bcb3b4d PC |
2834 | const typename |
2835 | std::gamma_distribution<result_type>::param_type& __p); | |
7b93bdde | 2836 | |
8e79468d | 2837 | param_type _M_param; |
f9b09dec PC |
2838 | |
2839 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
2840 | }; |
2841 | ||
fc05e1ba PC |
2842 | /** |
2843 | * @brief Return true if two Chi-squared distributions are different. | |
2844 | */ | |
2845 | template<typename _RealType> | |
2846 | inline bool | |
2847 | operator!=(const std::chi_squared_distribution<_RealType>& __d1, | |
2848 | const std::chi_squared_distribution<_RealType>& __d2) | |
2849 | { return !(__d1 == __d2); } | |
2850 | ||
8e79468d BK |
2851 | |
2852 | /** | |
2853 | * @brief A cauchy_distribution random number distribution. | |
2854 | * | |
2855 | * The formula for the normal probability mass function is | |
6cc5a790 | 2856 | * @f$p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1}@f$ |
8e79468d BK |
2857 | */ |
2858 | template<typename _RealType = double> | |
2859 | class cauchy_distribution | |
2860 | { | |
77e3c516 | 2861 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2862 | "result_type must be a floating point type"); |
77e3c516 | 2863 | |
8e79468d BK |
2864 | public: |
2865 | /** The type of the range of the distribution. */ | |
2866 | typedef _RealType result_type; | |
12905f10 | 2867 | |
8e79468d BK |
2868 | /** Parameter type. */ |
2869 | struct param_type | |
2870 | { | |
2871 | typedef cauchy_distribution<_RealType> distribution_type; | |
2872 | ||
977ac63e JW |
2873 | param_type() : param_type(0) { } |
2874 | ||
8e79468d | 2875 | explicit |
977ac63e | 2876 | param_type(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
2877 | : _M_a(__a), _M_b(__b) |
2878 | { } | |
2879 | ||
2880 | _RealType | |
2881 | a() const | |
2882 | { return _M_a; } | |
2883 | ||
2884 | _RealType | |
2885 | b() const | |
2886 | { return _M_b; } | |
2887 | ||
fc05e1ba PC |
2888 | friend bool |
2889 | operator==(const param_type& __p1, const param_type& __p2) | |
2890 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
2891 | ||
12905f10 JW |
2892 | friend bool |
2893 | operator!=(const param_type& __p1, const param_type& __p2) | |
2894 | { return !(__p1 == __p2); } | |
2895 | ||
8e79468d BK |
2896 | private: |
2897 | _RealType _M_a; | |
2898 | _RealType _M_b; | |
2899 | }; | |
2900 | ||
dd9db6f8 JW |
2901 | cauchy_distribution() : cauchy_distribution(0.0) { } |
2902 | ||
8e79468d | 2903 | explicit |
dd9db6f8 | 2904 | cauchy_distribution(_RealType __a, _RealType __b = 1.0) |
8e79468d BK |
2905 | : _M_param(__a, __b) |
2906 | { } | |
2907 | ||
2908 | explicit | |
2909 | cauchy_distribution(const param_type& __p) | |
2910 | : _M_param(__p) | |
2911 | { } | |
2912 | ||
2913 | /** | |
2914 | * @brief Resets the distribution state. | |
2915 | */ | |
2916 | void | |
2917 | reset() | |
2918 | { } | |
2919 | ||
2920 | /** | |
2921 | * | |
2922 | */ | |
2923 | _RealType | |
2924 | a() const | |
2925 | { return _M_param.a(); } | |
2926 | ||
2927 | _RealType | |
2928 | b() const | |
2929 | { return _M_param.b(); } | |
2930 | ||
2931 | /** | |
2932 | * @brief Returns the parameter set of the distribution. | |
2933 | */ | |
2934 | param_type | |
2935 | param() const | |
2936 | { return _M_param; } | |
2937 | ||
2938 | /** | |
2939 | * @brief Sets the parameter set of the distribution. | |
2940 | * @param __param The new parameter set of the distribution. | |
2941 | */ | |
2942 | void | |
2943 | param(const param_type& __param) | |
2944 | { _M_param = __param; } | |
2945 | ||
2946 | /** | |
2947 | * @brief Returns the greatest lower bound value of the distribution. | |
2948 | */ | |
2949 | result_type | |
2950 | min() const | |
a803975d | 2951 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
2952 | |
2953 | /** | |
2954 | * @brief Returns the least upper bound value of the distribution. | |
2955 | */ | |
2956 | result_type | |
2957 | max() const | |
2958 | { return std::numeric_limits<result_type>::max(); } | |
2959 | ||
247d8075 PC |
2960 | /** |
2961 | * @brief Generating functions. | |
2962 | */ | |
8e79468d BK |
2963 | template<typename _UniformRandomNumberGenerator> |
2964 | result_type | |
2965 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2966 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2967 | |
2968 | template<typename _UniformRandomNumberGenerator> | |
2969 | result_type | |
2970 | operator()(_UniformRandomNumberGenerator& __urng, | |
2971 | const param_type& __p); | |
2972 | ||
7b93bdde UD |
2973 | template<typename _ForwardIterator, |
2974 | typename _UniformRandomNumberGenerator> | |
2975 | void | |
2976 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2977 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2978 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2979 | |
2980 | template<typename _ForwardIterator, | |
2981 | typename _UniformRandomNumberGenerator> | |
2982 | void | |
2983 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2984 | _UniformRandomNumberGenerator& __urng, | |
2985 | const param_type& __p) | |
2986 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2987 | ||
2988 | template<typename _UniformRandomNumberGenerator> | |
2989 | void | |
2990 | __generate(result_type* __f, result_type* __t, | |
2991 | _UniformRandomNumberGenerator& __urng, | |
2992 | const param_type& __p) | |
2993 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2994 | ||
5bcb3b4d PC |
2995 | /** |
2996 | * @brief Return true if two Cauchy distributions have | |
2997 | * the same parameters. | |
2998 | */ | |
2999 | friend bool | |
3000 | operator==(const cauchy_distribution& __d1, | |
3001 | const cauchy_distribution& __d2) | |
3002 | { return __d1._M_param == __d2._M_param; } | |
3003 | ||
8e79468d | 3004 | private: |
7b93bdde UD |
3005 | template<typename _ForwardIterator, |
3006 | typename _UniformRandomNumberGenerator> | |
3007 | void | |
3008 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3009 | _UniformRandomNumberGenerator& __urng, | |
3010 | const param_type& __p); | |
3011 | ||
8e79468d BK |
3012 | param_type _M_param; |
3013 | }; | |
3014 | ||
fc05e1ba PC |
3015 | /** |
3016 | * @brief Return true if two Cauchy distributions have | |
3017 | * different parameters. | |
3018 | */ | |
3019 | template<typename _RealType> | |
3020 | inline bool | |
3021 | operator!=(const std::cauchy_distribution<_RealType>& __d1, | |
3022 | const std::cauchy_distribution<_RealType>& __d2) | |
3023 | { return !(__d1 == __d2); } | |
3024 | ||
8e79468d BK |
3025 | /** |
3026 | * @brief Inserts a %cauchy_distribution random number distribution | |
3027 | * @p __x into the output stream @p __os. | |
3028 | * | |
3029 | * @param __os An output stream. | |
3030 | * @param __x A %cauchy_distribution random number distribution. | |
3031 | * | |
3032 | * @returns The output stream with the state of @p __x inserted or in | |
3033 | * an error state. | |
3034 | */ | |
3035 | template<typename _RealType, typename _CharT, typename _Traits> | |
3036 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3037 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3038 | const std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
3039 | |
3040 | /** | |
3041 | * @brief Extracts a %cauchy_distribution random number distribution | |
3042 | * @p __x from the input stream @p __is. | |
3043 | * | |
3044 | * @param __is An input stream. | |
3045 | * @param __x A %cauchy_distribution random number | |
3046 | * generator engine. | |
3047 | * | |
3048 | * @returns The input stream with @p __x extracted or in an error state. | |
3049 | */ | |
3050 | template<typename _RealType, typename _CharT, typename _Traits> | |
3051 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3052 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3053 | std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
3054 | |
3055 | ||
3056 | /** | |
3057 | * @brief A fisher_f_distribution random number distribution. | |
3058 | * | |
3059 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
3060 | * @f[ |
3061 | * p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)} | |
04b70271 | 3062 | * (\frac{m}{n})^{m/2} x^{(m/2)-1} |
6cc5a790 BK |
3063 | * (1 + \frac{mx}{n})^{-(m+n)/2} |
3064 | * @f] | |
8e79468d BK |
3065 | */ |
3066 | template<typename _RealType = double> | |
3067 | class fisher_f_distribution | |
3068 | { | |
77e3c516 | 3069 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 3070 | "result_type must be a floating point type"); |
77e3c516 | 3071 | |
8e79468d BK |
3072 | public: |
3073 | /** The type of the range of the distribution. */ | |
3074 | typedef _RealType result_type; | |
12905f10 | 3075 | |
8e79468d BK |
3076 | /** Parameter type. */ |
3077 | struct param_type | |
3078 | { | |
3079 | typedef fisher_f_distribution<_RealType> distribution_type; | |
3080 | ||
977ac63e JW |
3081 | param_type() : param_type(1) { } |
3082 | ||
8e79468d | 3083 | explicit |
977ac63e | 3084 | param_type(_RealType __m, _RealType __n = _RealType(1)) |
8e79468d BK |
3085 | : _M_m(__m), _M_n(__n) |
3086 | { } | |
3087 | ||
3088 | _RealType | |
3089 | m() const | |
3090 | { return _M_m; } | |
3091 | ||
3092 | _RealType | |
3093 | n() const | |
3094 | { return _M_n; } | |
3095 | ||
fc05e1ba PC |
3096 | friend bool |
3097 | operator==(const param_type& __p1, const param_type& __p2) | |
3098 | { return __p1._M_m == __p2._M_m && __p1._M_n == __p2._M_n; } | |
3099 | ||
12905f10 JW |
3100 | friend bool |
3101 | operator!=(const param_type& __p1, const param_type& __p2) | |
3102 | { return !(__p1 == __p2); } | |
3103 | ||
8e79468d BK |
3104 | private: |
3105 | _RealType _M_m; | |
3106 | _RealType _M_n; | |
3107 | }; | |
3108 | ||
dd9db6f8 JW |
3109 | fisher_f_distribution() : fisher_f_distribution(1.0) { } |
3110 | ||
8e79468d | 3111 | explicit |
dd9db6f8 | 3112 | fisher_f_distribution(_RealType __m, |
8e79468d | 3113 | _RealType __n = _RealType(1)) |
f9b09dec | 3114 | : _M_param(__m, __n), _M_gd_x(__m / 2), _M_gd_y(__n / 2) |
8e79468d BK |
3115 | { } |
3116 | ||
3117 | explicit | |
3118 | fisher_f_distribution(const param_type& __p) | |
f9b09dec | 3119 | : _M_param(__p), _M_gd_x(__p.m() / 2), _M_gd_y(__p.n() / 2) |
8e79468d BK |
3120 | { } |
3121 | ||
3122 | /** | |
3123 | * @brief Resets the distribution state. | |
3124 | */ | |
3125 | void | |
3126 | reset() | |
f9b09dec PC |
3127 | { |
3128 | _M_gd_x.reset(); | |
3129 | _M_gd_y.reset(); | |
3130 | } | |
8e79468d BK |
3131 | |
3132 | /** | |
3133 | * | |
3134 | */ | |
3135 | _RealType | |
3136 | m() const | |
3137 | { return _M_param.m(); } | |
3138 | ||
3139 | _RealType | |
3140 | n() const | |
3141 | { return _M_param.n(); } | |
3142 | ||
3143 | /** | |
3144 | * @brief Returns the parameter set of the distribution. | |
3145 | */ | |
3146 | param_type | |
3147 | param() const | |
3148 | { return _M_param; } | |
3149 | ||
3150 | /** | |
3151 | * @brief Sets the parameter set of the distribution. | |
3152 | * @param __param The new parameter set of the distribution. | |
3153 | */ | |
3154 | void | |
3155 | param(const param_type& __param) | |
3156 | { _M_param = __param; } | |
3157 | ||
3158 | /** | |
3159 | * @brief Returns the greatest lower bound value of the distribution. | |
3160 | */ | |
3161 | result_type | |
3162 | min() const | |
3163 | { return result_type(0); } | |
3164 | ||
3165 | /** | |
3166 | * @brief Returns the least upper bound value of the distribution. | |
3167 | */ | |
3168 | result_type | |
3169 | max() const | |
3170 | { return std::numeric_limits<result_type>::max(); } | |
3171 | ||
247d8075 PC |
3172 | /** |
3173 | * @brief Generating functions. | |
3174 | */ | |
8e79468d BK |
3175 | template<typename _UniformRandomNumberGenerator> |
3176 | result_type | |
3177 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 3178 | { return (_M_gd_x(__urng) * n()) / (_M_gd_y(__urng) * m()); } |
8e79468d BK |
3179 | |
3180 | template<typename _UniformRandomNumberGenerator> | |
3181 | result_type | |
3182 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3183 | const param_type& __p) |
3184 | { | |
3185 | typedef typename std::gamma_distribution<result_type>::param_type | |
3186 | param_type; | |
3187 | return ((_M_gd_x(__urng, param_type(__p.m() / 2)) * n()) | |
3188 | / (_M_gd_y(__urng, param_type(__p.n() / 2)) * m())); | |
3189 | } | |
8e79468d | 3190 | |
7b93bdde UD |
3191 | template<typename _ForwardIterator, |
3192 | typename _UniformRandomNumberGenerator> | |
3193 | void | |
3194 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3195 | _UniformRandomNumberGenerator& __urng) | |
3196 | { this->__generate_impl(__f, __t, __urng); } | |
3197 | ||
3198 | template<typename _ForwardIterator, | |
3199 | typename _UniformRandomNumberGenerator> | |
3200 | void | |
3201 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3202 | _UniformRandomNumberGenerator& __urng, | |
3203 | const param_type& __p) | |
3204 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3205 | ||
3206 | template<typename _UniformRandomNumberGenerator> | |
3207 | void | |
3208 | __generate(result_type* __f, result_type* __t, | |
3209 | _UniformRandomNumberGenerator& __urng) | |
3210 | { this->__generate_impl(__f, __t, __urng); } | |
3211 | ||
3212 | template<typename _UniformRandomNumberGenerator> | |
3213 | void | |
3214 | __generate(result_type* __f, result_type* __t, | |
3215 | _UniformRandomNumberGenerator& __urng, | |
3216 | const param_type& __p) | |
3217 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3218 | ||
fc05e1ba PC |
3219 | /** |
3220 | * @brief Return true if two Fisher f distributions have | |
3221 | * the same parameters and the sequences that would | |
3222 | * be generated are equal. | |
3223 | */ | |
a30e18c1 MG |
3224 | friend bool |
3225 | operator==(const fisher_f_distribution& __d1, | |
3226 | const fisher_f_distribution& __d2) | |
5bcb3b4d | 3227 | { return (__d1._M_param == __d2._M_param |
a30e18c1 MG |
3228 | && __d1._M_gd_x == __d2._M_gd_x |
3229 | && __d1._M_gd_y == __d2._M_gd_y); } | |
fc05e1ba | 3230 | |
e1923769 ESR |
3231 | /** |
3232 | * @brief Inserts a %fisher_f_distribution random number distribution | |
3233 | * @p __x into the output stream @p __os. | |
3234 | * | |
3235 | * @param __os An output stream. | |
3236 | * @param __x A %fisher_f_distribution random number distribution. | |
3237 | * | |
3238 | * @returns The output stream with the state of @p __x inserted or in | |
3239 | * an error state. | |
3240 | */ | |
3241 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3242 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3243 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3244 | const std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 ESR |
3245 | |
3246 | /** | |
3247 | * @brief Extracts a %fisher_f_distribution random number distribution | |
3248 | * @p __x from the input stream @p __is. | |
3249 | * | |
3250 | * @param __is An input stream. | |
3251 | * @param __x A %fisher_f_distribution random number | |
3252 | * generator engine. | |
3253 | * | |
3254 | * @returns The input stream with @p __x extracted or in an error state. | |
3255 | */ | |
3256 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3257 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3258 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3259 | std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 | 3260 | |
8e79468d | 3261 | private: |
7b93bdde UD |
3262 | template<typename _ForwardIterator, |
3263 | typename _UniformRandomNumberGenerator> | |
3264 | void | |
3265 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3266 | _UniformRandomNumberGenerator& __urng); | |
3267 | ||
3268 | template<typename _ForwardIterator, | |
3269 | typename _UniformRandomNumberGenerator> | |
3270 | void | |
3271 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3272 | _UniformRandomNumberGenerator& __urng, | |
3273 | const param_type& __p); | |
3274 | ||
8e79468d | 3275 | param_type _M_param; |
f9b09dec PC |
3276 | |
3277 | std::gamma_distribution<result_type> _M_gd_x, _M_gd_y; | |
8e79468d BK |
3278 | }; |
3279 | ||
fc05e1ba | 3280 | /** |
1d77bc54 | 3281 | * @brief Return true if two Fisher f distributions are different. |
fc05e1ba PC |
3282 | */ |
3283 | template<typename _RealType> | |
3284 | inline bool | |
3285 | operator!=(const std::fisher_f_distribution<_RealType>& __d1, | |
3286 | const std::fisher_f_distribution<_RealType>& __d2) | |
3287 | { return !(__d1 == __d2); } | |
8e79468d BK |
3288 | |
3289 | /** | |
3290 | * @brief A student_t_distribution random number distribution. | |
3291 | * | |
6cc5a790 BK |
3292 | * The formula for the normal probability mass function is: |
3293 | * @f[ | |
3294 | * p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)} | |
3295 | * (1 + \frac{x^2}{n}) ^{-(n+1)/2} | |
3296 | * @f] | |
8e79468d BK |
3297 | */ |
3298 | template<typename _RealType = double> | |
3299 | class student_t_distribution | |
3300 | { | |
77e3c516 | 3301 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 3302 | "result_type must be a floating point type"); |
77e3c516 | 3303 | |
8e79468d BK |
3304 | public: |
3305 | /** The type of the range of the distribution. */ | |
3306 | typedef _RealType result_type; | |
12905f10 | 3307 | |
8e79468d BK |
3308 | /** Parameter type. */ |
3309 | struct param_type | |
3310 | { | |
3311 | typedef student_t_distribution<_RealType> distribution_type; | |
3312 | ||
977ac63e JW |
3313 | param_type() : param_type(1) { } |
3314 | ||
8e79468d | 3315 | explicit |
977ac63e | 3316 | param_type(_RealType __n) |
8e79468d BK |
3317 | : _M_n(__n) |
3318 | { } | |
3319 | ||
3320 | _RealType | |
3321 | n() const | |
3322 | { return _M_n; } | |
3323 | ||
fc05e1ba PC |
3324 | friend bool |
3325 | operator==(const param_type& __p1, const param_type& __p2) | |
3326 | { return __p1._M_n == __p2._M_n; } | |
3327 | ||
12905f10 JW |
3328 | friend bool |
3329 | operator!=(const param_type& __p1, const param_type& __p2) | |
3330 | { return !(__p1 == __p2); } | |
3331 | ||
8e79468d BK |
3332 | private: |
3333 | _RealType _M_n; | |
3334 | }; | |
3335 | ||
dd9db6f8 JW |
3336 | student_t_distribution() : student_t_distribution(1.0) { } |
3337 | ||
8e79468d | 3338 | explicit |
dd9db6f8 | 3339 | student_t_distribution(_RealType __n) |
f9b09dec | 3340 | : _M_param(__n), _M_nd(), _M_gd(__n / 2, 2) |
8e79468d BK |
3341 | { } |
3342 | ||
3343 | explicit | |
3344 | student_t_distribution(const param_type& __p) | |
f9b09dec | 3345 | : _M_param(__p), _M_nd(), _M_gd(__p.n() / 2, 2) |
8e79468d BK |
3346 | { } |
3347 | ||
3348 | /** | |
3349 | * @brief Resets the distribution state. | |
3350 | */ | |
3351 | void | |
3352 | reset() | |
f9b09dec PC |
3353 | { |
3354 | _M_nd.reset(); | |
3355 | _M_gd.reset(); | |
3356 | } | |
8e79468d BK |
3357 | |
3358 | /** | |
3359 | * | |
3360 | */ | |
3361 | _RealType | |
3362 | n() const | |
3363 | { return _M_param.n(); } | |
3364 | ||
3365 | /** | |
3366 | * @brief Returns the parameter set of the distribution. | |
3367 | */ | |
3368 | param_type | |
3369 | param() const | |
3370 | { return _M_param; } | |
3371 | ||
3372 | /** | |
3373 | * @brief Sets the parameter set of the distribution. | |
3374 | * @param __param The new parameter set of the distribution. | |
3375 | */ | |
3376 | void | |
3377 | param(const param_type& __param) | |
3378 | { _M_param = __param; } | |
3379 | ||
3380 | /** | |
3381 | * @brief Returns the greatest lower bound value of the distribution. | |
3382 | */ | |
3383 | result_type | |
3384 | min() const | |
a803975d | 3385 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
3386 | |
3387 | /** | |
3388 | * @brief Returns the least upper bound value of the distribution. | |
3389 | */ | |
3390 | result_type | |
3391 | max() const | |
3392 | { return std::numeric_limits<result_type>::max(); } | |
3393 | ||
247d8075 PC |
3394 | /** |
3395 | * @brief Generating functions. | |
3396 | */ | |
8e79468d BK |
3397 | template<typename _UniformRandomNumberGenerator> |
3398 | result_type | |
f9b09dec PC |
3399 | operator()(_UniformRandomNumberGenerator& __urng) |
3400 | { return _M_nd(__urng) * std::sqrt(n() / _M_gd(__urng)); } | |
8e79468d BK |
3401 | |
3402 | template<typename _UniformRandomNumberGenerator> | |
3403 | result_type | |
3404 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3405 | const param_type& __p) |
3406 | { | |
3407 | typedef typename std::gamma_distribution<result_type>::param_type | |
3408 | param_type; | |
3409 | ||
3410 | const result_type __g = _M_gd(__urng, param_type(__p.n() / 2, 2)); | |
3411 | return _M_nd(__urng) * std::sqrt(__p.n() / __g); | |
3412 | } | |
8e79468d | 3413 | |
7b93bdde UD |
3414 | template<typename _ForwardIterator, |
3415 | typename _UniformRandomNumberGenerator> | |
3416 | void | |
3417 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3418 | _UniformRandomNumberGenerator& __urng) | |
3419 | { this->__generate_impl(__f, __t, __urng); } | |
3420 | ||
3421 | template<typename _ForwardIterator, | |
3422 | typename _UniformRandomNumberGenerator> | |
3423 | void | |
3424 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3425 | _UniformRandomNumberGenerator& __urng, | |
3426 | const param_type& __p) | |
3427 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3428 | ||
3429 | template<typename _UniformRandomNumberGenerator> | |
3430 | void | |
3431 | __generate(result_type* __f, result_type* __t, | |
3432 | _UniformRandomNumberGenerator& __urng) | |
3433 | { this->__generate_impl(__f, __t, __urng); } | |
3434 | ||
3435 | template<typename _UniformRandomNumberGenerator> | |
3436 | void | |
3437 | __generate(result_type* __f, result_type* __t, | |
3438 | _UniformRandomNumberGenerator& __urng, | |
3439 | const param_type& __p) | |
3440 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3441 | ||
fc05e1ba PC |
3442 | /** |
3443 | * @brief Return true if two Student t distributions have | |
3444 | * the same parameters and the sequences that would | |
3445 | * be generated are equal. | |
3446 | */ | |
a30e18c1 MG |
3447 | friend bool |
3448 | operator==(const student_t_distribution& __d1, | |
3449 | const student_t_distribution& __d2) | |
5bcb3b4d | 3450 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 3451 | && __d1._M_nd == __d2._M_nd && __d1._M_gd == __d2._M_gd); } |
fc05e1ba | 3452 | |
e1923769 ESR |
3453 | /** |
3454 | * @brief Inserts a %student_t_distribution random number distribution | |
3455 | * @p __x into the output stream @p __os. | |
3456 | * | |
3457 | * @param __os An output stream. | |
3458 | * @param __x A %student_t_distribution random number distribution. | |
3459 | * | |
3460 | * @returns The output stream with the state of @p __x inserted or in | |
3461 | * an error state. | |
3462 | */ | |
3463 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3464 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3465 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3466 | const std::student_t_distribution<_RealType1>& __x); | |
e1923769 ESR |
3467 | |
3468 | /** | |
3469 | * @brief Extracts a %student_t_distribution random number distribution | |
3470 | * @p __x from the input stream @p __is. | |
3471 | * | |
3472 | * @param __is An input stream. | |
3473 | * @param __x A %student_t_distribution random number | |
3474 | * generator engine. | |
3475 | * | |
3476 | * @returns The input stream with @p __x extracted or in an error state. | |
3477 | */ | |
3478 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3479 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3480 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3481 | std::student_t_distribution<_RealType1>& __x); | |
e1923769 | 3482 | |
8e79468d | 3483 | private: |
7b93bdde UD |
3484 | template<typename _ForwardIterator, |
3485 | typename _UniformRandomNumberGenerator> | |
3486 | void | |
3487 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3488 | _UniformRandomNumberGenerator& __urng); | |
3489 | template<typename _ForwardIterator, | |
3490 | typename _UniformRandomNumberGenerator> | |
3491 | void | |
3492 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3493 | _UniformRandomNumberGenerator& __urng, | |
3494 | const param_type& __p); | |
3495 | ||
8e79468d | 3496 | param_type _M_param; |
b01630bb | 3497 | |
f9b09dec PC |
3498 | std::normal_distribution<result_type> _M_nd; |
3499 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
3500 | }; |
3501 | ||
fc05e1ba PC |
3502 | /** |
3503 | * @brief Return true if two Student t distributions are different. | |
3504 | */ | |
3505 | template<typename _RealType> | |
3506 | inline bool | |
3507 | operator!=(const std::student_t_distribution<_RealType>& __d1, | |
3508 | const std::student_t_distribution<_RealType>& __d2) | |
3509 | { return !(__d1 == __d2); } | |
3510 | ||
3511 | ||
014b6dbc | 3512 | /// @} group random_distributions_normal |
8e79468d BK |
3513 | |
3514 | /** | |
94a86be0 | 3515 | * @addtogroup random_distributions_bernoulli Bernoulli Distributions |
037181bc | 3516 | * @ingroup random_distributions |
8e79468d BK |
3517 | * @{ |
3518 | */ | |
3519 | ||
3520 | /** | |
3521 | * @brief A Bernoulli random number distribution. | |
3522 | * | |
6cc5a790 BK |
3523 | * Generates a sequence of true and false values with likelihood @f$p@f$ |
3524 | * that true will come up and @f$(1 - p)@f$ that false will appear. | |
8e79468d BK |
3525 | */ |
3526 | class bernoulli_distribution | |
3527 | { | |
3528 | public: | |
3529 | /** The type of the range of the distribution. */ | |
3530 | typedef bool result_type; | |
12905f10 | 3531 | |
8e79468d BK |
3532 | /** Parameter type. */ |
3533 | struct param_type | |
3534 | { | |
3535 | typedef bernoulli_distribution distribution_type; | |
3536 | ||
977ac63e JW |
3537 | param_type() : param_type(0.5) { } |
3538 | ||
8e79468d | 3539 | explicit |
977ac63e | 3540 | param_type(double __p) |
8e79468d BK |
3541 | : _M_p(__p) |
3542 | { | |
2f1e8e7c | 3543 | __glibcxx_assert((_M_p >= 0.0) && (_M_p <= 1.0)); |
8e79468d BK |
3544 | } |
3545 | ||
3546 | double | |
3547 | p() const | |
3548 | { return _M_p; } | |
3549 | ||
fc05e1ba PC |
3550 | friend bool |
3551 | operator==(const param_type& __p1, const param_type& __p2) | |
3552 | { return __p1._M_p == __p2._M_p; } | |
3553 | ||
12905f10 JW |
3554 | friend bool |
3555 | operator!=(const param_type& __p1, const param_type& __p2) | |
3556 | { return !(__p1 == __p2); } | |
3557 | ||
8e79468d BK |
3558 | private: |
3559 | double _M_p; | |
3560 | }; | |
3561 | ||
3562 | public: | |
dd9db6f8 JW |
3563 | /** |
3564 | * @brief Constructs a Bernoulli distribution with likelihood 0.5. | |
3565 | */ | |
3566 | bernoulli_distribution() : bernoulli_distribution(0.5) { } | |
3567 | ||
8e79468d BK |
3568 | /** |
3569 | * @brief Constructs a Bernoulli distribution with likelihood @p p. | |
3570 | * | |
3571 | * @param __p [IN] The likelihood of a true result being returned. | |
6cc5a790 | 3572 | * Must be in the interval @f$[0, 1]@f$. |
8e79468d BK |
3573 | */ |
3574 | explicit | |
dd9db6f8 | 3575 | bernoulli_distribution(double __p) |
8e79468d BK |
3576 | : _M_param(__p) |
3577 | { } | |
3578 | ||
3579 | explicit | |
3580 | bernoulli_distribution(const param_type& __p) | |
3581 | : _M_param(__p) | |
3582 | { } | |
3583 | ||
3584 | /** | |
3585 | * @brief Resets the distribution state. | |
3586 | * | |
3587 | * Does nothing for a Bernoulli distribution. | |
3588 | */ | |
3589 | void | |
3590 | reset() { } | |
3591 | ||
3592 | /** | |
3593 | * @brief Returns the @p p parameter of the distribution. | |
3594 | */ | |
3595 | double | |
3596 | p() const | |
3597 | { return _M_param.p(); } | |
3598 | ||
3599 | /** | |
3600 | * @brief Returns the parameter set of the distribution. | |
3601 | */ | |
3602 | param_type | |
3603 | param() const | |
3604 | { return _M_param; } | |
3605 | ||
3606 | /** | |
3607 | * @brief Sets the parameter set of the distribution. | |
3608 | * @param __param The new parameter set of the distribution. | |
3609 | */ | |
3610 | void | |
3611 | param(const param_type& __param) | |
3612 | { _M_param = __param; } | |
3613 | ||
3614 | /** | |
3615 | * @brief Returns the greatest lower bound value of the distribution. | |
3616 | */ | |
3617 | result_type | |
3618 | min() const | |
3619 | { return std::numeric_limits<result_type>::min(); } | |
3620 | ||
3621 | /** | |
3622 | * @brief Returns the least upper bound value of the distribution. | |
3623 | */ | |
3624 | result_type | |
3625 | max() const | |
3626 | { return std::numeric_limits<result_type>::max(); } | |
3627 | ||
3628 | /** | |
247d8075 | 3629 | * @brief Generating functions. |
8e79468d BK |
3630 | */ |
3631 | template<typename _UniformRandomNumberGenerator> | |
3632 | result_type | |
3633 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3634 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
3635 | |
3636 | template<typename _UniformRandomNumberGenerator> | |
3637 | result_type | |
3638 | operator()(_UniformRandomNumberGenerator& __urng, | |
3639 | const param_type& __p) | |
3640 | { | |
3641 | __detail::_Adaptor<_UniformRandomNumberGenerator, double> | |
3642 | __aurng(__urng); | |
3643 | if ((__aurng() - __aurng.min()) | |
3644 | < __p.p() * (__aurng.max() - __aurng.min())) | |
3645 | return true; | |
3646 | return false; | |
3647 | } | |
3648 | ||
7b93bdde UD |
3649 | template<typename _ForwardIterator, |
3650 | typename _UniformRandomNumberGenerator> | |
3651 | void | |
3652 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3653 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3654 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
3655 | |
3656 | template<typename _ForwardIterator, | |
3657 | typename _UniformRandomNumberGenerator> | |
3658 | void | |
3659 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3660 | _UniformRandomNumberGenerator& __urng, const param_type& __p) | |
3661 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3662 | ||
3663 | template<typename _UniformRandomNumberGenerator> | |
3664 | void | |
3665 | __generate(result_type* __f, result_type* __t, | |
3666 | _UniformRandomNumberGenerator& __urng, | |
3667 | const param_type& __p) | |
3668 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3669 | ||
5bcb3b4d PC |
3670 | /** |
3671 | * @brief Return true if two Bernoulli distributions have | |
3672 | * the same parameters. | |
3673 | */ | |
3674 | friend bool | |
3675 | operator==(const bernoulli_distribution& __d1, | |
3676 | const bernoulli_distribution& __d2) | |
3677 | { return __d1._M_param == __d2._M_param; } | |
3678 | ||
8e79468d | 3679 | private: |
7b93bdde UD |
3680 | template<typename _ForwardIterator, |
3681 | typename _UniformRandomNumberGenerator> | |
3682 | void | |
3683 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3684 | _UniformRandomNumberGenerator& __urng, | |
3685 | const param_type& __p); | |
3686 | ||
8e79468d BK |
3687 | param_type _M_param; |
3688 | }; | |
3689 | ||
fc05e1ba PC |
3690 | /** |
3691 | * @brief Return true if two Bernoulli distributions have | |
3692 | * different parameters. | |
3693 | */ | |
3694 | inline bool | |
3695 | operator!=(const std::bernoulli_distribution& __d1, | |
3696 | const std::bernoulli_distribution& __d2) | |
3697 | { return !(__d1 == __d2); } | |
3698 | ||
8e79468d BK |
3699 | /** |
3700 | * @brief Inserts a %bernoulli_distribution random number distribution | |
3701 | * @p __x into the output stream @p __os. | |
3702 | * | |
3703 | * @param __os An output stream. | |
3704 | * @param __x A %bernoulli_distribution random number distribution. | |
3705 | * | |
3706 | * @returns The output stream with the state of @p __x inserted or in | |
3707 | * an error state. | |
3708 | */ | |
3709 | template<typename _CharT, typename _Traits> | |
3710 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3711 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3712 | const std::bernoulli_distribution& __x); | |
8e79468d BK |
3713 | |
3714 | /** | |
3715 | * @brief Extracts a %bernoulli_distribution random number distribution | |
3716 | * @p __x from the input stream @p __is. | |
3717 | * | |
3718 | * @param __is An input stream. | |
3719 | * @param __x A %bernoulli_distribution random number generator engine. | |
3720 | * | |
3721 | * @returns The input stream with @p __x extracted or in an error state. | |
3722 | */ | |
3723 | template<typename _CharT, typename _Traits> | |
160e95dc | 3724 | inline std::basic_istream<_CharT, _Traits>& |
8e79468d | 3725 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 3726 | std::bernoulli_distribution& __x) |
8e79468d BK |
3727 | { |
3728 | double __p; | |
160e95dc JW |
3729 | if (__is >> __p) |
3730 | __x.param(bernoulli_distribution::param_type(__p)); | |
8e79468d BK |
3731 | return __is; |
3732 | } | |
3733 | ||
3734 | ||
3735 | /** | |
3736 | * @brief A discrete binomial random number distribution. | |
3737 | * | |
3738 | * The formula for the binomial probability density function is | |
9ea146e6 | 3739 | * @f$p(i|t,p) = \binom{t}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
6cc5a790 | 3740 | * and @f$p@f$ are the parameters of the distribution. |
8e79468d BK |
3741 | */ |
3742 | template<typename _IntType = int> | |
3743 | class binomial_distribution | |
3744 | { | |
77e3c516 | 3745 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 3746 | "result_type must be an integral type"); |
8e79468d BK |
3747 | |
3748 | public: | |
3749 | /** The type of the range of the distribution. */ | |
3750 | typedef _IntType result_type; | |
12905f10 | 3751 | |
8e79468d BK |
3752 | /** Parameter type. */ |
3753 | struct param_type | |
3754 | { | |
3755 | typedef binomial_distribution<_IntType> distribution_type; | |
3756 | friend class binomial_distribution<_IntType>; | |
3757 | ||
977ac63e JW |
3758 | param_type() : param_type(1) { } |
3759 | ||
8e79468d | 3760 | explicit |
977ac63e | 3761 | param_type(_IntType __t, double __p = 0.5) |
8e79468d BK |
3762 | : _M_t(__t), _M_p(__p) |
3763 | { | |
2f1e8e7c | 3764 | __glibcxx_assert((_M_t >= _IntType(0)) |
94986f6d PC |
3765 | && (_M_p >= 0.0) |
3766 | && (_M_p <= 1.0)); | |
8e79468d BK |
3767 | _M_initialize(); |
3768 | } | |
3769 | ||
3770 | _IntType | |
3771 | t() const | |
3772 | { return _M_t; } | |
3773 | ||
3774 | double | |
3775 | p() const | |
3776 | { return _M_p; } | |
3777 | ||
fc05e1ba PC |
3778 | friend bool |
3779 | operator==(const param_type& __p1, const param_type& __p2) | |
3780 | { return __p1._M_t == __p2._M_t && __p1._M_p == __p2._M_p; } | |
3781 | ||
12905f10 JW |
3782 | friend bool |
3783 | operator!=(const param_type& __p1, const param_type& __p2) | |
3784 | { return !(__p1 == __p2); } | |
3785 | ||
8e79468d BK |
3786 | private: |
3787 | void | |
3788 | _M_initialize(); | |
3789 | ||
3790 | _IntType _M_t; | |
3791 | double _M_p; | |
3792 | ||
3793 | double _M_q; | |
3794 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
3795 | double _M_d1, _M_d2, _M_s1, _M_s2, _M_c, | |
3796 | _M_a1, _M_a123, _M_s, _M_lf, _M_lp1p; | |
3797 | #endif | |
3798 | bool _M_easy; | |
3799 | }; | |
3800 | ||
dd9db6f8 JW |
3801 | // constructors and member functions |
3802 | ||
3803 | binomial_distribution() : binomial_distribution(1) { } | |
3804 | ||
8e79468d | 3805 | explicit |
dd9db6f8 | 3806 | binomial_distribution(_IntType __t, double __p = 0.5) |
8e79468d BK |
3807 | : _M_param(__t, __p), _M_nd() |
3808 | { } | |
3809 | ||
3810 | explicit | |
3811 | binomial_distribution(const param_type& __p) | |
3812 | : _M_param(__p), _M_nd() | |
3813 | { } | |
3814 | ||
3815 | /** | |
3816 | * @brief Resets the distribution state. | |
3817 | */ | |
3818 | void | |
3819 | reset() | |
3820 | { _M_nd.reset(); } | |
3821 | ||
3822 | /** | |
3823 | * @brief Returns the distribution @p t parameter. | |
3824 | */ | |
3825 | _IntType | |
3826 | t() const | |
3827 | { return _M_param.t(); } | |
3828 | ||
3829 | /** | |
3830 | * @brief Returns the distribution @p p parameter. | |
3831 | */ | |
3832 | double | |
3833 | p() const | |
3834 | { return _M_param.p(); } | |
3835 | ||
3836 | /** | |
3837 | * @brief Returns the parameter set of the distribution. | |
3838 | */ | |
3839 | param_type | |
3840 | param() const | |
3841 | { return _M_param; } | |
3842 | ||
3843 | /** | |
3844 | * @brief Sets the parameter set of the distribution. | |
3845 | * @param __param The new parameter set of the distribution. | |
3846 | */ | |
3847 | void | |
3848 | param(const param_type& __param) | |
3849 | { _M_param = __param; } | |
3850 | ||
3851 | /** | |
3852 | * @brief Returns the greatest lower bound value of the distribution. | |
3853 | */ | |
3854 | result_type | |
3855 | min() const | |
3856 | { return 0; } | |
3857 | ||
3858 | /** | |
3859 | * @brief Returns the least upper bound value of the distribution. | |
3860 | */ | |
3861 | result_type | |
3862 | max() const | |
3863 | { return _M_param.t(); } | |
3864 | ||
247d8075 PC |
3865 | /** |
3866 | * @brief Generating functions. | |
3867 | */ | |
3868 | template<typename _UniformRandomNumberGenerator> | |
3869 | result_type | |
3870 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3871 | { return this->operator()(__urng, _M_param); } |
247d8075 PC |
3872 | |
3873 | template<typename _UniformRandomNumberGenerator> | |
3874 | result_type | |
3875 | operator()(_UniformRandomNumberGenerator& __urng, | |
3876 | const param_type& __p); | |
3877 | ||
7b93bdde UD |
3878 | template<typename _ForwardIterator, |
3879 | typename _UniformRandomNumberGenerator> | |
3880 | void | |
3881 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3882 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3883 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
3884 | |
3885 | template<typename _ForwardIterator, | |
3886 | typename _UniformRandomNumberGenerator> | |
3887 | void | |
3888 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3889 | _UniformRandomNumberGenerator& __urng, | |
3890 | const param_type& __p) | |
3891 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3892 | ||
3893 | template<typename _UniformRandomNumberGenerator> | |
3894 | void | |
3895 | __generate(result_type* __f, result_type* __t, | |
3896 | _UniformRandomNumberGenerator& __urng, | |
3897 | const param_type& __p) | |
3898 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3899 | ||
fc05e1ba PC |
3900 | /** |
3901 | * @brief Return true if two binomial distributions have | |
3902 | * the same parameters and the sequences that would | |
3903 | * be generated are equal. | |
3904 | */ | |
fc05e1ba | 3905 | friend bool |
a30e18c1 MG |
3906 | operator==(const binomial_distribution& __d1, |
3907 | const binomial_distribution& __d2) | |
fc05e1ba | 3908 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
5bcb3b4d | 3909 | { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 3910 | #else |
5bcb3b4d | 3911 | { return __d1._M_param == __d2._M_param; } |
fc05e1ba PC |
3912 | #endif |
3913 | ||
8e79468d BK |
3914 | /** |
3915 | * @brief Inserts a %binomial_distribution random number distribution | |
3916 | * @p __x into the output stream @p __os. | |
3917 | * | |
3918 | * @param __os An output stream. | |
3919 | * @param __x A %binomial_distribution random number distribution. | |
3920 | * | |
3921 | * @returns The output stream with the state of @p __x inserted or in | |
3922 | * an error state. | |
3923 | */ | |
3924 | template<typename _IntType1, | |
3925 | typename _CharT, typename _Traits> | |
3926 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3927 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3928 | const std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3929 | |
3930 | /** | |
3931 | * @brief Extracts a %binomial_distribution random number distribution | |
3932 | * @p __x from the input stream @p __is. | |
3933 | * | |
3934 | * @param __is An input stream. | |
3935 | * @param __x A %binomial_distribution random number generator engine. | |
3936 | * | |
3937 | * @returns The input stream with @p __x extracted or in an error | |
3938 | * state. | |
3939 | */ | |
3940 | template<typename _IntType1, | |
3941 | typename _CharT, typename _Traits> | |
3942 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3943 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3944 | std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3945 | |
3946 | private: | |
7b93bdde UD |
3947 | template<typename _ForwardIterator, |
3948 | typename _UniformRandomNumberGenerator> | |
3949 | void | |
3950 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3951 | _UniformRandomNumberGenerator& __urng, | |
3952 | const param_type& __p); | |
3953 | ||
8e79468d BK |
3954 | template<typename _UniformRandomNumberGenerator> |
3955 | result_type | |
07bba3b1 PC |
3956 | _M_waiting(_UniformRandomNumberGenerator& __urng, |
3957 | _IntType __t, double __q); | |
8e79468d BK |
3958 | |
3959 | param_type _M_param; | |
3960 | ||
3961 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 3962 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
3963 | }; |
3964 | ||
fc05e1ba PC |
3965 | /** |
3966 | * @brief Return true if two binomial distributions are different. | |
3967 | */ | |
3968 | template<typename _IntType> | |
3969 | inline bool | |
3970 | operator!=(const std::binomial_distribution<_IntType>& __d1, | |
3971 | const std::binomial_distribution<_IntType>& __d2) | |
3972 | { return !(__d1 == __d2); } | |
3973 | ||
8e79468d BK |
3974 | |
3975 | /** | |
3976 | * @brief A discrete geometric random number distribution. | |
3977 | * | |
3978 | * The formula for the geometric probability density function is | |
d8d4db33 | 3979 | * @f$p(i|p) = p(1 - p)^{i}@f$ where @f$p@f$ is the parameter of the |
8e79468d BK |
3980 | * distribution. |
3981 | */ | |
3982 | template<typename _IntType = int> | |
3983 | class geometric_distribution | |
3984 | { | |
77e3c516 | 3985 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 3986 | "result_type must be an integral type"); |
8e79468d BK |
3987 | |
3988 | public: | |
3989 | /** The type of the range of the distribution. */ | |
3990 | typedef _IntType result_type; | |
12905f10 | 3991 | |
8e79468d BK |
3992 | /** Parameter type. */ |
3993 | struct param_type | |
3994 | { | |
3995 | typedef geometric_distribution<_IntType> distribution_type; | |
3996 | friend class geometric_distribution<_IntType>; | |
3997 | ||
977ac63e JW |
3998 | param_type() : param_type(0.5) { } |
3999 | ||
8e79468d | 4000 | explicit |
977ac63e | 4001 | param_type(double __p) |
8e79468d BK |
4002 | : _M_p(__p) |
4003 | { | |
2f1e8e7c | 4004 | __glibcxx_assert((_M_p > 0.0) && (_M_p < 1.0)); |
8e79468d BK |
4005 | _M_initialize(); |
4006 | } | |
4007 | ||
4008 | double | |
4009 | p() const | |
4010 | { return _M_p; } | |
4011 | ||
fc05e1ba PC |
4012 | friend bool |
4013 | operator==(const param_type& __p1, const param_type& __p2) | |
4014 | { return __p1._M_p == __p2._M_p; } | |
4015 | ||
12905f10 JW |
4016 | friend bool |
4017 | operator!=(const param_type& __p1, const param_type& __p2) | |
4018 | { return !(__p1 == __p2); } | |
4019 | ||
8e79468d BK |
4020 | private: |
4021 | void | |
4022 | _M_initialize() | |
d8d4db33 | 4023 | { _M_log_1_p = std::log(1.0 - _M_p); } |
8e79468d BK |
4024 | |
4025 | double _M_p; | |
4026 | ||
d8d4db33 | 4027 | double _M_log_1_p; |
8e79468d BK |
4028 | }; |
4029 | ||
dd9db6f8 JW |
4030 | // constructors and member functions |
4031 | ||
4032 | geometric_distribution() : geometric_distribution(0.5) { } | |
4033 | ||
8e79468d | 4034 | explicit |
dd9db6f8 | 4035 | geometric_distribution(double __p) |
8e79468d BK |
4036 | : _M_param(__p) |
4037 | { } | |
4038 | ||
4039 | explicit | |
4040 | geometric_distribution(const param_type& __p) | |
4041 | : _M_param(__p) | |
4042 | { } | |
4043 | ||
4044 | /** | |
4045 | * @brief Resets the distribution state. | |
4046 | * | |
4047 | * Does nothing for the geometric distribution. | |
4048 | */ | |
4049 | void | |
4050 | reset() { } | |
4051 | ||
4052 | /** | |
4053 | * @brief Returns the distribution parameter @p p. | |
4054 | */ | |
4055 | double | |
4056 | p() const | |
4057 | { return _M_param.p(); } | |
4058 | ||
4059 | /** | |
4060 | * @brief Returns the parameter set of the distribution. | |
4061 | */ | |
4062 | param_type | |
4063 | param() const | |
4064 | { return _M_param; } | |
4065 | ||
4066 | /** | |
4067 | * @brief Sets the parameter set of the distribution. | |
4068 | * @param __param The new parameter set of the distribution. | |
4069 | */ | |
4070 | void | |
4071 | param(const param_type& __param) | |
4072 | { _M_param = __param; } | |
4073 | ||
4074 | /** | |
4075 | * @brief Returns the greatest lower bound value of the distribution. | |
4076 | */ | |
4077 | result_type | |
4078 | min() const | |
4079 | { return 0; } | |
4080 | ||
4081 | /** | |
4082 | * @brief Returns the least upper bound value of the distribution. | |
4083 | */ | |
4084 | result_type | |
4085 | max() const | |
4086 | { return std::numeric_limits<result_type>::max(); } | |
4087 | ||
247d8075 PC |
4088 | /** |
4089 | * @brief Generating functions. | |
4090 | */ | |
8e79468d BK |
4091 | template<typename _UniformRandomNumberGenerator> |
4092 | result_type | |
4093 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4094 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4095 | |
4096 | template<typename _UniformRandomNumberGenerator> | |
4097 | result_type | |
4098 | operator()(_UniformRandomNumberGenerator& __urng, | |
4099 | const param_type& __p); | |
4100 | ||
7b93bdde UD |
4101 | template<typename _ForwardIterator, |
4102 | typename _UniformRandomNumberGenerator> | |
4103 | void | |
4104 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4105 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4106 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4107 | |
4108 | template<typename _ForwardIterator, | |
4109 | typename _UniformRandomNumberGenerator> | |
4110 | void | |
4111 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4112 | _UniformRandomNumberGenerator& __urng, | |
4113 | const param_type& __p) | |
4114 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4115 | ||
4116 | template<typename _UniformRandomNumberGenerator> | |
4117 | void | |
4118 | __generate(result_type* __f, result_type* __t, | |
4119 | _UniformRandomNumberGenerator& __urng, | |
4120 | const param_type& __p) | |
4121 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4122 | ||
5bcb3b4d PC |
4123 | /** |
4124 | * @brief Return true if two geometric distributions have | |
4125 | * the same parameters. | |
4126 | */ | |
4127 | friend bool | |
4128 | operator==(const geometric_distribution& __d1, | |
4129 | const geometric_distribution& __d2) | |
4130 | { return __d1._M_param == __d2._M_param; } | |
4131 | ||
8e79468d | 4132 | private: |
7b93bdde UD |
4133 | template<typename _ForwardIterator, |
4134 | typename _UniformRandomNumberGenerator> | |
4135 | void | |
4136 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4137 | _UniformRandomNumberGenerator& __urng, | |
4138 | const param_type& __p); | |
4139 | ||
8e79468d BK |
4140 | param_type _M_param; |
4141 | }; | |
4142 | ||
fc05e1ba PC |
4143 | /** |
4144 | * @brief Return true if two geometric distributions have | |
4145 | * different parameters. | |
4146 | */ | |
4147 | template<typename _IntType> | |
4148 | inline bool | |
4149 | operator!=(const std::geometric_distribution<_IntType>& __d1, | |
4150 | const std::geometric_distribution<_IntType>& __d2) | |
4151 | { return !(__d1 == __d2); } | |
4152 | ||
8e79468d BK |
4153 | /** |
4154 | * @brief Inserts a %geometric_distribution random number distribution | |
4155 | * @p __x into the output stream @p __os. | |
4156 | * | |
4157 | * @param __os An output stream. | |
4158 | * @param __x A %geometric_distribution random number distribution. | |
4159 | * | |
4160 | * @returns The output stream with the state of @p __x inserted or in | |
4161 | * an error state. | |
4162 | */ | |
4163 | template<typename _IntType, | |
4164 | typename _CharT, typename _Traits> | |
4165 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4166 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4167 | const std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4168 | |
4169 | /** | |
4170 | * @brief Extracts a %geometric_distribution random number distribution | |
4171 | * @p __x from the input stream @p __is. | |
4172 | * | |
4173 | * @param __is An input stream. | |
4174 | * @param __x A %geometric_distribution random number generator engine. | |
4175 | * | |
4176 | * @returns The input stream with @p __x extracted or in an error state. | |
4177 | */ | |
4178 | template<typename _IntType, | |
4179 | typename _CharT, typename _Traits> | |
4180 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4181 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4182 | std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4183 | |
4184 | ||
4185 | /** | |
4186 | * @brief A negative_binomial_distribution random number distribution. | |
4187 | * | |
4188 | * The formula for the negative binomial probability mass function is | |
6cc5a790 BK |
4189 | * @f$p(i) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
4190 | * and @f$p@f$ are the parameters of the distribution. | |
8e79468d BK |
4191 | */ |
4192 | template<typename _IntType = int> | |
4193 | class negative_binomial_distribution | |
4194 | { | |
77e3c516 | 4195 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 4196 | "result_type must be an integral type"); |
8e79468d BK |
4197 | |
4198 | public: | |
4199 | /** The type of the range of the distribution. */ | |
4200 | typedef _IntType result_type; | |
12905f10 | 4201 | |
8e79468d BK |
4202 | /** Parameter type. */ |
4203 | struct param_type | |
4204 | { | |
4205 | typedef negative_binomial_distribution<_IntType> distribution_type; | |
4206 | ||
977ac63e JW |
4207 | param_type() : param_type(1) { } |
4208 | ||
8e79468d | 4209 | explicit |
977ac63e | 4210 | param_type(_IntType __k, double __p = 0.5) |
8e79468d | 4211 | : _M_k(__k), _M_p(__p) |
113b21bd | 4212 | { |
2f1e8e7c | 4213 | __glibcxx_assert((_M_k > 0) && (_M_p > 0.0) && (_M_p <= 1.0)); |
113b21bd | 4214 | } |
8e79468d BK |
4215 | |
4216 | _IntType | |
4217 | k() const | |
4218 | { return _M_k; } | |
4219 | ||
4220 | double | |
4221 | p() const | |
4222 | { return _M_p; } | |
4223 | ||
fc05e1ba PC |
4224 | friend bool |
4225 | operator==(const param_type& __p1, const param_type& __p2) | |
4226 | { return __p1._M_k == __p2._M_k && __p1._M_p == __p2._M_p; } | |
4227 | ||
12905f10 JW |
4228 | friend bool |
4229 | operator!=(const param_type& __p1, const param_type& __p2) | |
4230 | { return !(__p1 == __p2); } | |
4231 | ||
8e79468d BK |
4232 | private: |
4233 | _IntType _M_k; | |
4234 | double _M_p; | |
4235 | }; | |
4236 | ||
dd9db6f8 JW |
4237 | negative_binomial_distribution() : negative_binomial_distribution(1) { } |
4238 | ||
8e79468d | 4239 | explicit |
dd9db6f8 | 4240 | negative_binomial_distribution(_IntType __k, double __p = 0.5) |
ff2e697a | 4241 | : _M_param(__k, __p), _M_gd(__k, (1.0 - __p) / __p) |
8e79468d BK |
4242 | { } |
4243 | ||
4244 | explicit | |
4245 | negative_binomial_distribution(const param_type& __p) | |
ff2e697a | 4246 | : _M_param(__p), _M_gd(__p.k(), (1.0 - __p.p()) / __p.p()) |
8e79468d BK |
4247 | { } |
4248 | ||
4249 | /** | |
4250 | * @brief Resets the distribution state. | |
4251 | */ | |
4252 | void | |
4253 | reset() | |
f9b09dec | 4254 | { _M_gd.reset(); } |
8e79468d BK |
4255 | |
4256 | /** | |
6cc5a790 | 4257 | * @brief Return the @f$k@f$ parameter of the distribution. |
8e79468d BK |
4258 | */ |
4259 | _IntType | |
4260 | k() const | |
4261 | { return _M_param.k(); } | |
4262 | ||
4263 | /** | |
6cc5a790 | 4264 | * @brief Return the @f$p@f$ parameter of the distribution. |
8e79468d BK |
4265 | */ |
4266 | double | |
4267 | p() const | |
4268 | { return _M_param.p(); } | |
4269 | ||
4270 | /** | |
4271 | * @brief Returns the parameter set of the distribution. | |
4272 | */ | |
4273 | param_type | |
4274 | param() const | |
4275 | { return _M_param; } | |
4276 | ||
4277 | /** | |
4278 | * @brief Sets the parameter set of the distribution. | |
4279 | * @param __param The new parameter set of the distribution. | |
4280 | */ | |
4281 | void | |
4282 | param(const param_type& __param) | |
4283 | { _M_param = __param; } | |
4284 | ||
4285 | /** | |
4286 | * @brief Returns the greatest lower bound value of the distribution. | |
4287 | */ | |
4288 | result_type | |
4289 | min() const | |
4290 | { return result_type(0); } | |
4291 | ||
4292 | /** | |
4293 | * @brief Returns the least upper bound value of the distribution. | |
4294 | */ | |
4295 | result_type | |
4296 | max() const | |
4297 | { return std::numeric_limits<result_type>::max(); } | |
4298 | ||
247d8075 PC |
4299 | /** |
4300 | * @brief Generating functions. | |
4301 | */ | |
8e79468d BK |
4302 | template<typename _UniformRandomNumberGenerator> |
4303 | result_type | |
f9b09dec | 4304 | operator()(_UniformRandomNumberGenerator& __urng); |
8e79468d BK |
4305 | |
4306 | template<typename _UniformRandomNumberGenerator> | |
4307 | result_type | |
4308 | operator()(_UniformRandomNumberGenerator& __urng, | |
4309 | const param_type& __p); | |
4310 | ||
7b93bdde UD |
4311 | template<typename _ForwardIterator, |
4312 | typename _UniformRandomNumberGenerator> | |
4313 | void | |
4314 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4315 | _UniformRandomNumberGenerator& __urng) | |
4316 | { this->__generate_impl(__f, __t, __urng); } | |
4317 | ||
4318 | template<typename _ForwardIterator, | |
4319 | typename _UniformRandomNumberGenerator> | |
4320 | void | |
4321 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4322 | _UniformRandomNumberGenerator& __urng, | |
4323 | const param_type& __p) | |
4324 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4325 | ||
4326 | template<typename _UniformRandomNumberGenerator> | |
4327 | void | |
4328 | __generate(result_type* __f, result_type* __t, | |
4329 | _UniformRandomNumberGenerator& __urng) | |
4330 | { this->__generate_impl(__f, __t, __urng); } | |
4331 | ||
4332 | template<typename _UniformRandomNumberGenerator> | |
4333 | void | |
4334 | __generate(result_type* __f, result_type* __t, | |
4335 | _UniformRandomNumberGenerator& __urng, | |
4336 | const param_type& __p) | |
4337 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4338 | ||
fc05e1ba PC |
4339 | /** |
4340 | * @brief Return true if two negative binomial distributions have | |
4341 | * the same parameters and the sequences that would be | |
4342 | * generated are equal. | |
4343 | */ | |
a30e18c1 MG |
4344 | friend bool |
4345 | operator==(const negative_binomial_distribution& __d1, | |
4346 | const negative_binomial_distribution& __d2) | |
5bcb3b4d | 4347 | { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; } |
fc05e1ba | 4348 | |
e1923769 ESR |
4349 | /** |
4350 | * @brief Inserts a %negative_binomial_distribution random | |
4351 | * number distribution @p __x into the output stream @p __os. | |
4352 | * | |
4353 | * @param __os An output stream. | |
4354 | * @param __x A %negative_binomial_distribution random number | |
4355 | * distribution. | |
4356 | * | |
4357 | * @returns The output stream with the state of @p __x inserted or in | |
4358 | * an error state. | |
4359 | */ | |
4360 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4361 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4362 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4363 | const std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 ESR |
4364 | |
4365 | /** | |
4366 | * @brief Extracts a %negative_binomial_distribution random number | |
4367 | * distribution @p __x from the input stream @p __is. | |
4368 | * | |
4369 | * @param __is An input stream. | |
4370 | * @param __x A %negative_binomial_distribution random number | |
4371 | * generator engine. | |
4372 | * | |
4373 | * @returns The input stream with @p __x extracted or in an error state. | |
4374 | */ | |
4375 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4376 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4377 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4378 | std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 | 4379 | |
8e79468d | 4380 | private: |
7b93bdde UD |
4381 | template<typename _ForwardIterator, |
4382 | typename _UniformRandomNumberGenerator> | |
4383 | void | |
4384 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4385 | _UniformRandomNumberGenerator& __urng); | |
4386 | template<typename _ForwardIterator, | |
4387 | typename _UniformRandomNumberGenerator> | |
4388 | void | |
4389 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4390 | _UniformRandomNumberGenerator& __urng, | |
4391 | const param_type& __p); | |
4392 | ||
8e79468d | 4393 | param_type _M_param; |
f9b09dec PC |
4394 | |
4395 | std::gamma_distribution<double> _M_gd; | |
8e79468d BK |
4396 | }; |
4397 | ||
fc05e1ba PC |
4398 | /** |
4399 | * @brief Return true if two negative binomial distributions are different. | |
4400 | */ | |
4401 | template<typename _IntType> | |
4402 | inline bool | |
4403 | operator!=(const std::negative_binomial_distribution<_IntType>& __d1, | |
4404 | const std::negative_binomial_distribution<_IntType>& __d2) | |
4405 | { return !(__d1 == __d2); } | |
4406 | ||
4407 | ||
014b6dbc | 4408 | /// @} group random_distributions_bernoulli |
8e79468d BK |
4409 | |
4410 | /** | |
94a86be0 | 4411 | * @addtogroup random_distributions_poisson Poisson Distributions |
037181bc | 4412 | * @ingroup random_distributions |
8e79468d BK |
4413 | * @{ |
4414 | */ | |
4415 | ||
4416 | /** | |
4417 | * @brief A discrete Poisson random number distribution. | |
4418 | * | |
4419 | * The formula for the Poisson probability density function is | |
6cc5a790 | 4420 | * @f$p(i|\mu) = \frac{\mu^i}{i!} e^{-\mu}@f$ where @f$\mu@f$ is the |
8e79468d BK |
4421 | * parameter of the distribution. |
4422 | */ | |
4423 | template<typename _IntType = int> | |
4424 | class poisson_distribution | |
4425 | { | |
77e3c516 | 4426 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 4427 | "result_type must be an integral type"); |
8e79468d BK |
4428 | |
4429 | public: | |
4430 | /** The type of the range of the distribution. */ | |
4431 | typedef _IntType result_type; | |
12905f10 | 4432 | |
8e79468d BK |
4433 | /** Parameter type. */ |
4434 | struct param_type | |
4435 | { | |
4436 | typedef poisson_distribution<_IntType> distribution_type; | |
4437 | friend class poisson_distribution<_IntType>; | |
4438 | ||
977ac63e JW |
4439 | param_type() : param_type(1.0) { } |
4440 | ||
8e79468d | 4441 | explicit |
977ac63e | 4442 | param_type(double __mean) |
8e79468d BK |
4443 | : _M_mean(__mean) |
4444 | { | |
2f1e8e7c | 4445 | __glibcxx_assert(_M_mean > 0.0); |
8e79468d BK |
4446 | _M_initialize(); |
4447 | } | |
4448 | ||
4449 | double | |
4450 | mean() const | |
4451 | { return _M_mean; } | |
4452 | ||
fc05e1ba PC |
4453 | friend bool |
4454 | operator==(const param_type& __p1, const param_type& __p2) | |
4455 | { return __p1._M_mean == __p2._M_mean; } | |
4456 | ||
12905f10 JW |
4457 | friend bool |
4458 | operator!=(const param_type& __p1, const param_type& __p2) | |
4459 | { return !(__p1 == __p2); } | |
4460 | ||
8e79468d BK |
4461 | private: |
4462 | // Hosts either log(mean) or the threshold of the simple method. | |
4463 | void | |
4464 | _M_initialize(); | |
4465 | ||
4466 | double _M_mean; | |
4467 | ||
4468 | double _M_lm_thr; | |
4469 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
4470 | double _M_lfm, _M_sm, _M_d, _M_scx, _M_1cx, _M_c2b, _M_cb; | |
4471 | #endif | |
4472 | }; | |
4473 | ||
dd9db6f8 JW |
4474 | // constructors and member functions |
4475 | ||
4476 | poisson_distribution() : poisson_distribution(1.0) { } | |
4477 | ||
8e79468d | 4478 | explicit |
dd9db6f8 | 4479 | poisson_distribution(double __mean) |
8e79468d BK |
4480 | : _M_param(__mean), _M_nd() |
4481 | { } | |
4482 | ||
4483 | explicit | |
4484 | poisson_distribution(const param_type& __p) | |
4485 | : _M_param(__p), _M_nd() | |
4486 | { } | |
4487 | ||
4488 | /** | |
4489 | * @brief Resets the distribution state. | |
4490 | */ | |
4491 | void | |
4492 | reset() | |
4493 | { _M_nd.reset(); } | |
4494 | ||
4495 | /** | |
4496 | * @brief Returns the distribution parameter @p mean. | |
4497 | */ | |
4498 | double | |
4499 | mean() const | |
4500 | { return _M_param.mean(); } | |
4501 | ||
4502 | /** | |
4503 | * @brief Returns the parameter set of the distribution. | |
4504 | */ | |
4505 | param_type | |
4506 | param() const | |
4507 | { return _M_param; } | |
4508 | ||
4509 | /** | |
4510 | * @brief Sets the parameter set of the distribution. | |
4511 | * @param __param The new parameter set of the distribution. | |
4512 | */ | |
4513 | void | |
4514 | param(const param_type& __param) | |
4515 | { _M_param = __param; } | |
4516 | ||
4517 | /** | |
4518 | * @brief Returns the greatest lower bound value of the distribution. | |
4519 | */ | |
4520 | result_type | |
4521 | min() const | |
4522 | { return 0; } | |
4523 | ||
4524 | /** | |
4525 | * @brief Returns the least upper bound value of the distribution. | |
4526 | */ | |
4527 | result_type | |
4528 | max() const | |
4529 | { return std::numeric_limits<result_type>::max(); } | |
4530 | ||
247d8075 PC |
4531 | /** |
4532 | * @brief Generating functions. | |
4533 | */ | |
8e79468d BK |
4534 | template<typename _UniformRandomNumberGenerator> |
4535 | result_type | |
4536 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4537 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4538 | |
4539 | template<typename _UniformRandomNumberGenerator> | |
4540 | result_type | |
4541 | operator()(_UniformRandomNumberGenerator& __urng, | |
4542 | const param_type& __p); | |
4543 | ||
7b93bdde UD |
4544 | template<typename _ForwardIterator, |
4545 | typename _UniformRandomNumberGenerator> | |
4546 | void | |
4547 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4548 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4549 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4550 | |
4551 | template<typename _ForwardIterator, | |
4552 | typename _UniformRandomNumberGenerator> | |
4553 | void | |
4554 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4555 | _UniformRandomNumberGenerator& __urng, | |
4556 | const param_type& __p) | |
4557 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4558 | ||
4559 | template<typename _UniformRandomNumberGenerator> | |
4560 | void | |
4561 | __generate(result_type* __f, result_type* __t, | |
4562 | _UniformRandomNumberGenerator& __urng, | |
4563 | const param_type& __p) | |
4564 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4565 | ||
fc05e1ba PC |
4566 | /** |
4567 | * @brief Return true if two Poisson distributions have the same | |
4568 | * parameters and the sequences that would be generated | |
4569 | * are equal. | |
4570 | */ | |
a30e18c1 MG |
4571 | friend bool |
4572 | operator==(const poisson_distribution& __d1, | |
4573 | const poisson_distribution& __d2) | |
fc05e1ba | 4574 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
5bcb3b4d | 4575 | { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 4576 | #else |
5bcb3b4d | 4577 | { return __d1._M_param == __d2._M_param; } |
fc05e1ba PC |
4578 | #endif |
4579 | ||
8e79468d BK |
4580 | /** |
4581 | * @brief Inserts a %poisson_distribution random number distribution | |
4582 | * @p __x into the output stream @p __os. | |
4583 | * | |
4584 | * @param __os An output stream. | |
4585 | * @param __x A %poisson_distribution random number distribution. | |
4586 | * | |
4587 | * @returns The output stream with the state of @p __x inserted or in | |
4588 | * an error state. | |
4589 | */ | |
4590 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4591 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4592 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4593 | const std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4594 | |
4595 | /** | |
4596 | * @brief Extracts a %poisson_distribution random number distribution | |
4597 | * @p __x from the input stream @p __is. | |
4598 | * | |
4599 | * @param __is An input stream. | |
4600 | * @param __x A %poisson_distribution random number generator engine. | |
4601 | * | |
4602 | * @returns The input stream with @p __x extracted or in an error | |
4603 | * state. | |
4604 | */ | |
4605 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4606 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4607 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4608 | std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4609 | |
4610 | private: | |
7b93bdde UD |
4611 | template<typename _ForwardIterator, |
4612 | typename _UniformRandomNumberGenerator> | |
4613 | void | |
4614 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4615 | _UniformRandomNumberGenerator& __urng, | |
4616 | const param_type& __p); | |
4617 | ||
8e79468d BK |
4618 | param_type _M_param; |
4619 | ||
4620 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 4621 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
4622 | }; |
4623 | ||
fc05e1ba PC |
4624 | /** |
4625 | * @brief Return true if two Poisson distributions are different. | |
4626 | */ | |
4627 | template<typename _IntType> | |
4628 | inline bool | |
4629 | operator!=(const std::poisson_distribution<_IntType>& __d1, | |
4630 | const std::poisson_distribution<_IntType>& __d2) | |
4631 | { return !(__d1 == __d2); } | |
4632 | ||
4633 | ||
8e79468d BK |
4634 | /** |
4635 | * @brief An exponential continuous distribution for random numbers. | |
4636 | * | |
4637 | * The formula for the exponential probability density function is | |
6cc5a790 | 4638 | * @f$p(x|\lambda) = \lambda e^{-\lambda x}@f$. |
8e79468d BK |
4639 | * |
4640 | * <table border=1 cellpadding=10 cellspacing=0> | |
4641 | * <caption align=top>Distribution Statistics</caption> | |
6cc5a790 BK |
4642 | * <tr><td>Mean</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
4643 | * <tr><td>Median</td><td>@f$\frac{\ln 2}{\lambda}@f$</td></tr> | |
4644 | * <tr><td>Mode</td><td>@f$zero@f$</td></tr> | |
8e79468d | 4645 | * <tr><td>Range</td><td>@f$[0, \infty]@f$</td></tr> |
6cc5a790 | 4646 | * <tr><td>Standard Deviation</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
8e79468d BK |
4647 | * </table> |
4648 | */ | |
4649 | template<typename _RealType = double> | |
4650 | class exponential_distribution | |
4651 | { | |
77e3c516 | 4652 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 4653 | "result_type must be a floating point type"); |
77e3c516 | 4654 | |
8e79468d BK |
4655 | public: |
4656 | /** The type of the range of the distribution. */ | |
4657 | typedef _RealType result_type; | |
12905f10 | 4658 | |
8e79468d BK |
4659 | /** Parameter type. */ |
4660 | struct param_type | |
4661 | { | |
4662 | typedef exponential_distribution<_RealType> distribution_type; | |
4663 | ||
977ac63e JW |
4664 | param_type() : param_type(1.0) { } |
4665 | ||
8e79468d | 4666 | explicit |
977ac63e | 4667 | param_type(_RealType __lambda) |
8e79468d BK |
4668 | : _M_lambda(__lambda) |
4669 | { | |
2f1e8e7c | 4670 | __glibcxx_assert(_M_lambda > _RealType(0)); |
8e79468d BK |
4671 | } |
4672 | ||
4673 | _RealType | |
4674 | lambda() const | |
4675 | { return _M_lambda; } | |
4676 | ||
fc05e1ba PC |
4677 | friend bool |
4678 | operator==(const param_type& __p1, const param_type& __p2) | |
4679 | { return __p1._M_lambda == __p2._M_lambda; } | |
4680 | ||
12905f10 JW |
4681 | friend bool |
4682 | operator!=(const param_type& __p1, const param_type& __p2) | |
4683 | { return !(__p1 == __p2); } | |
4684 | ||
8e79468d BK |
4685 | private: |
4686 | _RealType _M_lambda; | |
4687 | }; | |
4688 | ||
4689 | public: | |
dd9db6f8 JW |
4690 | /** |
4691 | * @brief Constructs an exponential distribution with inverse scale | |
4692 | * parameter 1.0 | |
4693 | */ | |
4694 | exponential_distribution() : exponential_distribution(1.0) { } | |
4695 | ||
8e79468d BK |
4696 | /** |
4697 | * @brief Constructs an exponential distribution with inverse scale | |
6cc5a790 | 4698 | * parameter @f$\lambda@f$. |
8e79468d BK |
4699 | */ |
4700 | explicit | |
dd9db6f8 | 4701 | exponential_distribution(_RealType __lambda) |
8e79468d BK |
4702 | : _M_param(__lambda) |
4703 | { } | |
4704 | ||
4705 | explicit | |
4706 | exponential_distribution(const param_type& __p) | |
4707 | : _M_param(__p) | |
4708 | { } | |
4709 | ||
4710 | /** | |
4711 | * @brief Resets the distribution state. | |
4712 | * | |
4713 | * Has no effect on exponential distributions. | |
4714 | */ | |
4715 | void | |
4716 | reset() { } | |
4717 | ||
4718 | /** | |
4719 | * @brief Returns the inverse scale parameter of the distribution. | |
4720 | */ | |
4721 | _RealType | |
4722 | lambda() const | |
4723 | { return _M_param.lambda(); } | |
4724 | ||
4725 | /** | |
4726 | * @brief Returns the parameter set of the distribution. | |
4727 | */ | |
4728 | param_type | |
4729 | param() const | |
4730 | { return _M_param; } | |
4731 | ||
4732 | /** | |
4733 | * @brief Sets the parameter set of the distribution. | |
4734 | * @param __param The new parameter set of the distribution. | |
4735 | */ | |
4736 | void | |
4737 | param(const param_type& __param) | |
4738 | { _M_param = __param; } | |
4739 | ||
4740 | /** | |
4741 | * @brief Returns the greatest lower bound value of the distribution. | |
4742 | */ | |
4743 | result_type | |
4744 | min() const | |
4745 | { return result_type(0); } | |
4746 | ||
4747 | /** | |
4748 | * @brief Returns the least upper bound value of the distribution. | |
4749 | */ | |
4750 | result_type | |
4751 | max() const | |
4752 | { return std::numeric_limits<result_type>::max(); } | |
4753 | ||
247d8075 PC |
4754 | /** |
4755 | * @brief Generating functions. | |
4756 | */ | |
8e79468d BK |
4757 | template<typename _UniformRandomNumberGenerator> |
4758 | result_type | |
4759 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4760 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4761 | |
4762 | template<typename _UniformRandomNumberGenerator> | |
4763 | result_type | |
4764 | operator()(_UniformRandomNumberGenerator& __urng, | |
4765 | const param_type& __p) | |
4766 | { | |
4767 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
4768 | __aurng(__urng); | |
c2d9083d | 4769 | return -std::log(result_type(1) - __aurng()) / __p.lambda(); |
8e79468d BK |
4770 | } |
4771 | ||
7b93bdde UD |
4772 | template<typename _ForwardIterator, |
4773 | typename _UniformRandomNumberGenerator> | |
4774 | void | |
4775 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4776 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4777 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4778 | |
4779 | template<typename _ForwardIterator, | |
4780 | typename _UniformRandomNumberGenerator> | |
4781 | void | |
4782 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4783 | _UniformRandomNumberGenerator& __urng, | |
4784 | const param_type& __p) | |
4785 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4786 | ||
4787 | template<typename _UniformRandomNumberGenerator> | |
4788 | void | |
4789 | __generate(result_type* __f, result_type* __t, | |
4790 | _UniformRandomNumberGenerator& __urng, | |
4791 | const param_type& __p) | |
4792 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4793 | ||
5bcb3b4d PC |
4794 | /** |
4795 | * @brief Return true if two exponential distributions have the same | |
4796 | * parameters. | |
4797 | */ | |
4798 | friend bool | |
4799 | operator==(const exponential_distribution& __d1, | |
4800 | const exponential_distribution& __d2) | |
4801 | { return __d1._M_param == __d2._M_param; } | |
4802 | ||
8e79468d | 4803 | private: |
7b93bdde UD |
4804 | template<typename _ForwardIterator, |
4805 | typename _UniformRandomNumberGenerator> | |
4806 | void | |
4807 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4808 | _UniformRandomNumberGenerator& __urng, | |
4809 | const param_type& __p); | |
4810 | ||
8e79468d BK |
4811 | param_type _M_param; |
4812 | }; | |
4813 | ||
fc05e1ba PC |
4814 | /** |
4815 | * @brief Return true if two exponential distributions have different | |
4816 | * parameters. | |
4817 | */ | |
4818 | template<typename _RealType> | |
4819 | inline bool | |
4820 | operator!=(const std::exponential_distribution<_RealType>& __d1, | |
4821 | const std::exponential_distribution<_RealType>& __d2) | |
4822 | { return !(__d1 == __d2); } | |
4823 | ||
8e79468d BK |
4824 | /** |
4825 | * @brief Inserts a %exponential_distribution random number distribution | |
4826 | * @p __x into the output stream @p __os. | |
4827 | * | |
4828 | * @param __os An output stream. | |
4829 | * @param __x A %exponential_distribution random number distribution. | |
4830 | * | |
4831 | * @returns The output stream with the state of @p __x inserted or in | |
4832 | * an error state. | |
4833 | */ | |
4834 | template<typename _RealType, typename _CharT, typename _Traits> | |
4835 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4836 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4837 | const std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4838 | |
4839 | /** | |
4840 | * @brief Extracts a %exponential_distribution random number distribution | |
4841 | * @p __x from the input stream @p __is. | |
4842 | * | |
4843 | * @param __is An input stream. | |
4844 | * @param __x A %exponential_distribution random number | |
4845 | * generator engine. | |
4846 | * | |
4847 | * @returns The input stream with @p __x extracted or in an error state. | |
4848 | */ | |
4849 | template<typename _RealType, typename _CharT, typename _Traits> | |
4850 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4851 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4852 | std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4853 | |
4854 | ||
8e79468d BK |
4855 | /** |
4856 | * @brief A weibull_distribution random number distribution. | |
4857 | * | |
6cc5a790 BK |
4858 | * The formula for the normal probability density function is: |
4859 | * @f[ | |
4860 | * p(x|\alpha,\beta) = \frac{\alpha}{\beta} (\frac{x}{\beta})^{\alpha-1} | |
4861 | * \exp{(-(\frac{x}{\beta})^\alpha)} | |
4862 | * @f] | |
8e79468d BK |
4863 | */ |
4864 | template<typename _RealType = double> | |
4865 | class weibull_distribution | |
4866 | { | |
77e3c516 | 4867 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 4868 | "result_type must be a floating point type"); |
77e3c516 | 4869 | |
8e79468d BK |
4870 | public: |
4871 | /** The type of the range of the distribution. */ | |
4872 | typedef _RealType result_type; | |
12905f10 | 4873 | |
8e79468d BK |
4874 | /** Parameter type. */ |
4875 | struct param_type | |
4876 | { | |
4877 | typedef weibull_distribution<_RealType> distribution_type; | |
4878 | ||
977ac63e JW |
4879 | param_type() : param_type(1.0) { } |
4880 | ||
8e79468d | 4881 | explicit |
977ac63e | 4882 | param_type(_RealType __a, _RealType __b = _RealType(1.0)) |
8e79468d BK |
4883 | : _M_a(__a), _M_b(__b) |
4884 | { } | |
4885 | ||
4886 | _RealType | |
4887 | a() const | |
4888 | { return _M_a; } | |
4889 | ||
4890 | _RealType | |
4891 | b() const | |
4892 | { return _M_b; } | |
4893 | ||
fc05e1ba PC |
4894 | friend bool |
4895 | operator==(const param_type& __p1, const param_type& __p2) | |
4896 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
4897 | ||
12905f10 JW |
4898 | friend bool |
4899 | operator!=(const param_type& __p1, const param_type& __p2) | |
4900 | { return !(__p1 == __p2); } | |
4901 | ||
8e79468d BK |
4902 | private: |
4903 | _RealType _M_a; | |
4904 | _RealType _M_b; | |
4905 | }; | |
4906 | ||
dd9db6f8 JW |
4907 | weibull_distribution() : weibull_distribution(1.0) { } |
4908 | ||
8e79468d | 4909 | explicit |
dd9db6f8 | 4910 | weibull_distribution(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
4911 | : _M_param(__a, __b) |
4912 | { } | |
4913 | ||
4914 | explicit | |
4915 | weibull_distribution(const param_type& __p) | |
4916 | : _M_param(__p) | |
4917 | { } | |
4918 | ||
4919 | /** | |
4920 | * @brief Resets the distribution state. | |
4921 | */ | |
4922 | void | |
4923 | reset() | |
4924 | { } | |
4925 | ||
4926 | /** | |
6cc5a790 | 4927 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
4928 | */ |
4929 | _RealType | |
4930 | a() const | |
4931 | { return _M_param.a(); } | |
4932 | ||
4933 | /** | |
6cc5a790 | 4934 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
4935 | */ |
4936 | _RealType | |
4937 | b() const | |
4938 | { return _M_param.b(); } | |
4939 | ||
4940 | /** | |
4941 | * @brief Returns the parameter set of the distribution. | |
4942 | */ | |
4943 | param_type | |
4944 | param() const | |
4945 | { return _M_param; } | |
4946 | ||
4947 | /** | |
4948 | * @brief Sets the parameter set of the distribution. | |
4949 | * @param __param The new parameter set of the distribution. | |
4950 | */ | |
4951 | void | |
4952 | param(const param_type& __param) | |
4953 | { _M_param = __param; } | |
4954 | ||
4955 | /** | |
4956 | * @brief Returns the greatest lower bound value of the distribution. | |
4957 | */ | |
4958 | result_type | |
4959 | min() const | |
4960 | { return result_type(0); } | |
4961 | ||
4962 | /** | |
4963 | * @brief Returns the least upper bound value of the distribution. | |
4964 | */ | |
4965 | result_type | |
4966 | max() const | |
4967 | { return std::numeric_limits<result_type>::max(); } | |
4968 | ||
247d8075 PC |
4969 | /** |
4970 | * @brief Generating functions. | |
4971 | */ | |
8e79468d BK |
4972 | template<typename _UniformRandomNumberGenerator> |
4973 | result_type | |
4974 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4975 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4976 | |
4977 | template<typename _UniformRandomNumberGenerator> | |
4978 | result_type | |
4979 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb | 4980 | const param_type& __p); |
8e79468d | 4981 | |
7b93bdde UD |
4982 | template<typename _ForwardIterator, |
4983 | typename _UniformRandomNumberGenerator> | |
4984 | void | |
4985 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4986 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4987 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4988 | |
4989 | template<typename _ForwardIterator, | |
4990 | typename _UniformRandomNumberGenerator> | |
4991 | void | |
4992 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4993 | _UniformRandomNumberGenerator& __urng, | |
4994 | const param_type& __p) | |
4995 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4996 | ||
4997 | template<typename _UniformRandomNumberGenerator> | |
4998 | void | |
4999 | __generate(result_type* __f, result_type* __t, | |
5000 | _UniformRandomNumberGenerator& __urng, | |
5001 | const param_type& __p) | |
5002 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5003 | ||
5bcb3b4d PC |
5004 | /** |
5005 | * @brief Return true if two Weibull distributions have the same | |
5006 | * parameters. | |
5007 | */ | |
5008 | friend bool | |
5009 | operator==(const weibull_distribution& __d1, | |
5010 | const weibull_distribution& __d2) | |
5011 | { return __d1._M_param == __d2._M_param; } | |
5012 | ||
8e79468d | 5013 | private: |
7b93bdde UD |
5014 | template<typename _ForwardIterator, |
5015 | typename _UniformRandomNumberGenerator> | |
5016 | void | |
5017 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5018 | _UniformRandomNumberGenerator& __urng, | |
5019 | const param_type& __p); | |
5020 | ||
8e79468d BK |
5021 | param_type _M_param; |
5022 | }; | |
5023 | ||
fc05e1ba PC |
5024 | /** |
5025 | * @brief Return true if two Weibull distributions have different | |
5026 | * parameters. | |
5027 | */ | |
5028 | template<typename _RealType> | |
5029 | inline bool | |
5030 | operator!=(const std::weibull_distribution<_RealType>& __d1, | |
5031 | const std::weibull_distribution<_RealType>& __d2) | |
5032 | { return !(__d1 == __d2); } | |
5033 | ||
8e79468d BK |
5034 | /** |
5035 | * @brief Inserts a %weibull_distribution random number distribution | |
5036 | * @p __x into the output stream @p __os. | |
5037 | * | |
5038 | * @param __os An output stream. | |
5039 | * @param __x A %weibull_distribution random number distribution. | |
5040 | * | |
5041 | * @returns The output stream with the state of @p __x inserted or in | |
5042 | * an error state. | |
5043 | */ | |
5044 | template<typename _RealType, typename _CharT, typename _Traits> | |
5045 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5046 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5047 | const std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
5048 | |
5049 | /** | |
5050 | * @brief Extracts a %weibull_distribution random number distribution | |
5051 | * @p __x from the input stream @p __is. | |
5052 | * | |
5053 | * @param __is An input stream. | |
5054 | * @param __x A %weibull_distribution random number | |
5055 | * generator engine. | |
5056 | * | |
5057 | * @returns The input stream with @p __x extracted or in an error state. | |
5058 | */ | |
5059 | template<typename _RealType, typename _CharT, typename _Traits> | |
5060 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5061 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5062 | std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
5063 | |
5064 | ||
5065 | /** | |
5066 | * @brief A extreme_value_distribution random number distribution. | |
5067 | * | |
5068 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
5069 | * @f[ |
5070 | * p(x|a,b) = \frac{1}{b} | |
5071 | * \exp( \frac{a-x}{b} - \exp(\frac{a-x}{b})) | |
5072 | * @f] | |
8e79468d BK |
5073 | */ |
5074 | template<typename _RealType = double> | |
5075 | class extreme_value_distribution | |
5076 | { | |
77e3c516 | 5077 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5078 | "result_type must be a floating point type"); |
77e3c516 | 5079 | |
8e79468d BK |
5080 | public: |
5081 | /** The type of the range of the distribution. */ | |
5082 | typedef _RealType result_type; | |
12905f10 | 5083 | |
8e79468d BK |
5084 | /** Parameter type. */ |
5085 | struct param_type | |
5086 | { | |
5087 | typedef extreme_value_distribution<_RealType> distribution_type; | |
5088 | ||
977ac63e JW |
5089 | param_type() : param_type(0.0) { } |
5090 | ||
8e79468d | 5091 | explicit |
977ac63e | 5092 | param_type(_RealType __a, _RealType __b = _RealType(1.0)) |
8e79468d BK |
5093 | : _M_a(__a), _M_b(__b) |
5094 | { } | |
5095 | ||
5096 | _RealType | |
5097 | a() const | |
5098 | { return _M_a; } | |
5099 | ||
5100 | _RealType | |
5101 | b() const | |
5102 | { return _M_b; } | |
5103 | ||
fc05e1ba PC |
5104 | friend bool |
5105 | operator==(const param_type& __p1, const param_type& __p2) | |
5106 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
5107 | ||
12905f10 JW |
5108 | friend bool |
5109 | operator!=(const param_type& __p1, const param_type& __p2) | |
5110 | { return !(__p1 == __p2); } | |
5111 | ||
8e79468d BK |
5112 | private: |
5113 | _RealType _M_a; | |
5114 | _RealType _M_b; | |
5115 | }; | |
5116 | ||
dd9db6f8 JW |
5117 | extreme_value_distribution() : extreme_value_distribution(0.0) { } |
5118 | ||
8e79468d | 5119 | explicit |
dd9db6f8 | 5120 | extreme_value_distribution(_RealType __a, _RealType __b = _RealType(1)) |
8e79468d BK |
5121 | : _M_param(__a, __b) |
5122 | { } | |
5123 | ||
5124 | explicit | |
5125 | extreme_value_distribution(const param_type& __p) | |
5126 | : _M_param(__p) | |
5127 | { } | |
5128 | ||
5129 | /** | |
5130 | * @brief Resets the distribution state. | |
5131 | */ | |
5132 | void | |
5133 | reset() | |
5134 | { } | |
5135 | ||
5136 | /** | |
6cc5a790 | 5137 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
5138 | */ |
5139 | _RealType | |
5140 | a() const | |
5141 | { return _M_param.a(); } | |
5142 | ||
5143 | /** | |
6cc5a790 | 5144 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
5145 | */ |
5146 | _RealType | |
5147 | b() const | |
5148 | { return _M_param.b(); } | |
5149 | ||
5150 | /** | |
5151 | * @brief Returns the parameter set of the distribution. | |
5152 | */ | |
5153 | param_type | |
5154 | param() const | |
5155 | { return _M_param; } | |
5156 | ||
5157 | /** | |
5158 | * @brief Sets the parameter set of the distribution. | |
5159 | * @param __param The new parameter set of the distribution. | |
5160 | */ | |
5161 | void | |
5162 | param(const param_type& __param) | |
5163 | { _M_param = __param; } | |
5164 | ||
5165 | /** | |
5166 | * @brief Returns the greatest lower bound value of the distribution. | |
5167 | */ | |
5168 | result_type | |
5169 | min() const | |
a803975d | 5170 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
5171 | |
5172 | /** | |
5173 | * @brief Returns the least upper bound value of the distribution. | |
5174 | */ | |
5175 | result_type | |
5176 | max() const | |
5177 | { return std::numeric_limits<result_type>::max(); } | |
5178 | ||
247d8075 PC |
5179 | /** |
5180 | * @brief Generating functions. | |
5181 | */ | |
8e79468d BK |
5182 | template<typename _UniformRandomNumberGenerator> |
5183 | result_type | |
5184 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5185 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5186 | |
5187 | template<typename _UniformRandomNumberGenerator> | |
5188 | result_type | |
5189 | operator()(_UniformRandomNumberGenerator& __urng, | |
5190 | const param_type& __p); | |
5191 | ||
7b93bdde UD |
5192 | template<typename _ForwardIterator, |
5193 | typename _UniformRandomNumberGenerator> | |
5194 | void | |
5195 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5196 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5197 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5198 | |
5199 | template<typename _ForwardIterator, | |
5200 | typename _UniformRandomNumberGenerator> | |
5201 | void | |
5202 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5203 | _UniformRandomNumberGenerator& __urng, | |
5204 | const param_type& __p) | |
5205 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5206 | ||
5207 | template<typename _UniformRandomNumberGenerator> | |
5208 | void | |
5209 | __generate(result_type* __f, result_type* __t, | |
5210 | _UniformRandomNumberGenerator& __urng, | |
5211 | const param_type& __p) | |
5212 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5213 | ||
5bcb3b4d PC |
5214 | /** |
5215 | * @brief Return true if two extreme value distributions have the same | |
5216 | * parameters. | |
5217 | */ | |
5218 | friend bool | |
5219 | operator==(const extreme_value_distribution& __d1, | |
5220 | const extreme_value_distribution& __d2) | |
5221 | { return __d1._M_param == __d2._M_param; } | |
5222 | ||
8e79468d | 5223 | private: |
7b93bdde UD |
5224 | template<typename _ForwardIterator, |
5225 | typename _UniformRandomNumberGenerator> | |
5226 | void | |
5227 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5228 | _UniformRandomNumberGenerator& __urng, | |
5229 | const param_type& __p); | |
5230 | ||
8e79468d BK |
5231 | param_type _M_param; |
5232 | }; | |
5233 | ||
fc05e1ba PC |
5234 | /** |
5235 | * @brief Return true if two extreme value distributions have different | |
5236 | * parameters. | |
5237 | */ | |
5238 | template<typename _RealType> | |
5239 | inline bool | |
5240 | operator!=(const std::extreme_value_distribution<_RealType>& __d1, | |
5241 | const std::extreme_value_distribution<_RealType>& __d2) | |
5242 | { return !(__d1 == __d2); } | |
5243 | ||
8e79468d BK |
5244 | /** |
5245 | * @brief Inserts a %extreme_value_distribution random number distribution | |
5246 | * @p __x into the output stream @p __os. | |
5247 | * | |
5248 | * @param __os An output stream. | |
5249 | * @param __x A %extreme_value_distribution random number distribution. | |
5250 | * | |
5251 | * @returns The output stream with the state of @p __x inserted or in | |
5252 | * an error state. | |
5253 | */ | |
5254 | template<typename _RealType, typename _CharT, typename _Traits> | |
5255 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5256 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5257 | const std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5258 | |
5259 | /** | |
5260 | * @brief Extracts a %extreme_value_distribution random number | |
5261 | * distribution @p __x from the input stream @p __is. | |
5262 | * | |
5263 | * @param __is An input stream. | |
5264 | * @param __x A %extreme_value_distribution random number | |
5265 | * generator engine. | |
5266 | * | |
5267 | * @returns The input stream with @p __x extracted or in an error state. | |
5268 | */ | |
5269 | template<typename _RealType, typename _CharT, typename _Traits> | |
5270 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5271 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5272 | std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5273 | |
5274 | ||
5275 | /** | |
5276 | * @brief A discrete_distribution random number distribution. | |
5277 | * | |
5278 | * The formula for the discrete probability mass function is | |
5279 | * | |
5280 | */ | |
5281 | template<typename _IntType = int> | |
5282 | class discrete_distribution | |
5283 | { | |
77e3c516 | 5284 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 5285 | "result_type must be an integral type"); |
8e79468d BK |
5286 | |
5287 | public: | |
5288 | /** The type of the range of the distribution. */ | |
5289 | typedef _IntType result_type; | |
12905f10 | 5290 | |
8e79468d BK |
5291 | /** Parameter type. */ |
5292 | struct param_type | |
5293 | { | |
5294 | typedef discrete_distribution<_IntType> distribution_type; | |
5295 | friend class discrete_distribution<_IntType>; | |
5296 | ||
5297 | param_type() | |
879b9073 | 5298 | : _M_prob(), _M_cp() |
ce9555cb | 5299 | { } |
8e79468d BK |
5300 | |
5301 | template<typename _InputIterator> | |
5302 | param_type(_InputIterator __wbegin, | |
5303 | _InputIterator __wend) | |
5304 | : _M_prob(__wbegin, __wend), _M_cp() | |
5305 | { _M_initialize(); } | |
5306 | ||
5307 | param_type(initializer_list<double> __wil) | |
5308 | : _M_prob(__wil.begin(), __wil.end()), _M_cp() | |
5309 | { _M_initialize(); } | |
5310 | ||
5311 | template<typename _Func> | |
5312 | param_type(size_t __nw, double __xmin, double __xmax, | |
5313 | _Func __fw); | |
5314 | ||
ce9555cb PC |
5315 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5316 | param_type(const param_type&) = default; | |
5317 | param_type& operator=(const param_type&) = default; | |
5318 | ||
8e79468d BK |
5319 | std::vector<double> |
5320 | probabilities() const | |
879b9073 | 5321 | { return _M_prob.empty() ? std::vector<double>(1, 1.0) : _M_prob; } |
8e79468d | 5322 | |
fc05e1ba PC |
5323 | friend bool |
5324 | operator==(const param_type& __p1, const param_type& __p2) | |
5325 | { return __p1._M_prob == __p2._M_prob; } | |
5326 | ||
12905f10 JW |
5327 | friend bool |
5328 | operator!=(const param_type& __p1, const param_type& __p2) | |
5329 | { return !(__p1 == __p2); } | |
5330 | ||
8e79468d BK |
5331 | private: |
5332 | void | |
5333 | _M_initialize(); | |
5334 | ||
5335 | std::vector<double> _M_prob; | |
5336 | std::vector<double> _M_cp; | |
5337 | }; | |
5338 | ||
5339 | discrete_distribution() | |
5340 | : _M_param() | |
5341 | { } | |
5342 | ||
5343 | template<typename _InputIterator> | |
5344 | discrete_distribution(_InputIterator __wbegin, | |
5345 | _InputIterator __wend) | |
5346 | : _M_param(__wbegin, __wend) | |
5347 | { } | |
5348 | ||
f8dd9e0d PC |
5349 | discrete_distribution(initializer_list<double> __wl) |
5350 | : _M_param(__wl) | |
8e79468d BK |
5351 | { } |
5352 | ||
5353 | template<typename _Func> | |
5354 | discrete_distribution(size_t __nw, double __xmin, double __xmax, | |
5355 | _Func __fw) | |
5356 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5357 | { } | |
5358 | ||
5359 | explicit | |
5360 | discrete_distribution(const param_type& __p) | |
5361 | : _M_param(__p) | |
5362 | { } | |
5363 | ||
5364 | /** | |
5365 | * @brief Resets the distribution state. | |
5366 | */ | |
5367 | void | |
5368 | reset() | |
5369 | { } | |
5370 | ||
5371 | /** | |
5372 | * @brief Returns the probabilities of the distribution. | |
5373 | */ | |
5374 | std::vector<double> | |
5375 | probabilities() const | |
879b9073 PC |
5376 | { |
5377 | return _M_param._M_prob.empty() | |
5378 | ? std::vector<double>(1, 1.0) : _M_param._M_prob; | |
5379 | } | |
8e79468d BK |
5380 | |
5381 | /** | |
5382 | * @brief Returns the parameter set of the distribution. | |
5383 | */ | |
5384 | param_type | |
5385 | param() const | |
5386 | { return _M_param; } | |
5387 | ||
5388 | /** | |
5389 | * @brief Sets the parameter set of the distribution. | |
5390 | * @param __param The new parameter set of the distribution. | |
5391 | */ | |
5392 | void | |
5393 | param(const param_type& __param) | |
5394 | { _M_param = __param; } | |
5395 | ||
5396 | /** | |
5397 | * @brief Returns the greatest lower bound value of the distribution. | |
5398 | */ | |
5399 | result_type | |
5400 | min() const | |
5401 | { return result_type(0); } | |
5402 | ||
5403 | /** | |
5404 | * @brief Returns the least upper bound value of the distribution. | |
5405 | */ | |
5406 | result_type | |
5407 | max() const | |
879b9073 PC |
5408 | { |
5409 | return _M_param._M_prob.empty() | |
5410 | ? result_type(0) : result_type(_M_param._M_prob.size() - 1); | |
5411 | } | |
8e79468d | 5412 | |
247d8075 PC |
5413 | /** |
5414 | * @brief Generating functions. | |
5415 | */ | |
8e79468d BK |
5416 | template<typename _UniformRandomNumberGenerator> |
5417 | result_type | |
5418 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5419 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5420 | |
5421 | template<typename _UniformRandomNumberGenerator> | |
5422 | result_type | |
5423 | operator()(_UniformRandomNumberGenerator& __urng, | |
5424 | const param_type& __p); | |
5425 | ||
7b93bdde UD |
5426 | template<typename _ForwardIterator, |
5427 | typename _UniformRandomNumberGenerator> | |
5428 | void | |
5429 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5430 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5431 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5432 | |
5433 | template<typename _ForwardIterator, | |
5434 | typename _UniformRandomNumberGenerator> | |
5435 | void | |
5436 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5437 | _UniformRandomNumberGenerator& __urng, | |
5438 | const param_type& __p) | |
5439 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5440 | ||
5441 | template<typename _UniformRandomNumberGenerator> | |
5442 | void | |
5443 | __generate(result_type* __f, result_type* __t, | |
5444 | _UniformRandomNumberGenerator& __urng, | |
5445 | const param_type& __p) | |
5446 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5447 | ||
5bcb3b4d PC |
5448 | /** |
5449 | * @brief Return true if two discrete distributions have the same | |
5450 | * parameters. | |
5451 | */ | |
5452 | friend bool | |
5453 | operator==(const discrete_distribution& __d1, | |
5454 | const discrete_distribution& __d2) | |
5455 | { return __d1._M_param == __d2._M_param; } | |
5456 | ||
8e79468d BK |
5457 | /** |
5458 | * @brief Inserts a %discrete_distribution random number distribution | |
5459 | * @p __x into the output stream @p __os. | |
5460 | * | |
5461 | * @param __os An output stream. | |
5462 | * @param __x A %discrete_distribution random number distribution. | |
5463 | * | |
5464 | * @returns The output stream with the state of @p __x inserted or in | |
5465 | * an error state. | |
5466 | */ | |
5467 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5468 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5469 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5470 | const std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5471 | |
5472 | /** | |
5473 | * @brief Extracts a %discrete_distribution random number distribution | |
5474 | * @p __x from the input stream @p __is. | |
5475 | * | |
5476 | * @param __is An input stream. | |
5477 | * @param __x A %discrete_distribution random number | |
5478 | * generator engine. | |
5479 | * | |
5480 | * @returns The input stream with @p __x extracted or in an error | |
5481 | * state. | |
5482 | */ | |
5483 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5484 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5485 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5486 | std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5487 | |
5488 | private: | |
7b93bdde UD |
5489 | template<typename _ForwardIterator, |
5490 | typename _UniformRandomNumberGenerator> | |
5491 | void | |
5492 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5493 | _UniformRandomNumberGenerator& __urng, | |
5494 | const param_type& __p); | |
5495 | ||
8e79468d BK |
5496 | param_type _M_param; |
5497 | }; | |
5498 | ||
fc05e1ba PC |
5499 | /** |
5500 | * @brief Return true if two discrete distributions have different | |
5501 | * parameters. | |
5502 | */ | |
5503 | template<typename _IntType> | |
5504 | inline bool | |
5505 | operator!=(const std::discrete_distribution<_IntType>& __d1, | |
5506 | const std::discrete_distribution<_IntType>& __d2) | |
5507 | { return !(__d1 == __d2); } | |
5508 | ||
8e79468d BK |
5509 | |
5510 | /** | |
5511 | * @brief A piecewise_constant_distribution random number distribution. | |
5512 | * | |
5513 | * The formula for the piecewise constant probability mass function is | |
5514 | * | |
5515 | */ | |
5516 | template<typename _RealType = double> | |
5517 | class piecewise_constant_distribution | |
5518 | { | |
77e3c516 | 5519 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5520 | "result_type must be a floating point type"); |
77e3c516 | 5521 | |
8e79468d BK |
5522 | public: |
5523 | /** The type of the range of the distribution. */ | |
5524 | typedef _RealType result_type; | |
12905f10 | 5525 | |
8e79468d BK |
5526 | /** Parameter type. */ |
5527 | struct param_type | |
5528 | { | |
5529 | typedef piecewise_constant_distribution<_RealType> distribution_type; | |
5530 | friend class piecewise_constant_distribution<_RealType>; | |
5531 | ||
b01630bb | 5532 | param_type() |
879b9073 PC |
5533 | : _M_int(), _M_den(), _M_cp() |
5534 | { } | |
8e79468d BK |
5535 | |
5536 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5537 | param_type(_InputIteratorB __bfirst, | |
5538 | _InputIteratorB __bend, | |
5539 | _InputIteratorW __wbegin); | |
5540 | ||
5541 | template<typename _Func> | |
f8dd9e0d | 5542 | param_type(initializer_list<_RealType> __bi, _Func __fw); |
8e79468d BK |
5543 | |
5544 | template<typename _Func> | |
5545 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5546 | _Func __fw); | |
5547 | ||
ce9555cb PC |
5548 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5549 | param_type(const param_type&) = default; | |
5550 | param_type& operator=(const param_type&) = default; | |
5551 | ||
8e79468d BK |
5552 | std::vector<_RealType> |
5553 | intervals() const | |
879b9073 PC |
5554 | { |
5555 | if (_M_int.empty()) | |
5556 | { | |
5557 | std::vector<_RealType> __tmp(2); | |
5558 | __tmp[1] = _RealType(1); | |
5559 | return __tmp; | |
5560 | } | |
5561 | else | |
5562 | return _M_int; | |
5563 | } | |
8e79468d BK |
5564 | |
5565 | std::vector<double> | |
5566 | densities() const | |
879b9073 | 5567 | { return _M_den.empty() ? std::vector<double>(1, 1.0) : _M_den; } |
8e79468d | 5568 | |
fc05e1ba PC |
5569 | friend bool |
5570 | operator==(const param_type& __p1, const param_type& __p2) | |
5571 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } | |
5572 | ||
12905f10 JW |
5573 | friend bool |
5574 | operator!=(const param_type& __p1, const param_type& __p2) | |
5575 | { return !(__p1 == __p2); } | |
5576 | ||
8e79468d BK |
5577 | private: |
5578 | void | |
5579 | _M_initialize(); | |
5580 | ||
5581 | std::vector<_RealType> _M_int; | |
5582 | std::vector<double> _M_den; | |
5583 | std::vector<double> _M_cp; | |
5584 | }; | |
5585 | ||
8e79468d BK |
5586 | piecewise_constant_distribution() |
5587 | : _M_param() | |
5588 | { } | |
5589 | ||
5590 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5591 | piecewise_constant_distribution(_InputIteratorB __bfirst, | |
5592 | _InputIteratorB __bend, | |
5593 | _InputIteratorW __wbegin) | |
5594 | : _M_param(__bfirst, __bend, __wbegin) | |
5595 | { } | |
5596 | ||
5597 | template<typename _Func> | |
f8dd9e0d | 5598 | piecewise_constant_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5599 | _Func __fw) |
f8dd9e0d | 5600 | : _M_param(__bl, __fw) |
8e79468d BK |
5601 | { } |
5602 | ||
5603 | template<typename _Func> | |
5604 | piecewise_constant_distribution(size_t __nw, | |
5605 | _RealType __xmin, _RealType __xmax, | |
5606 | _Func __fw) | |
5607 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5608 | { } | |
5609 | ||
5610 | explicit | |
5611 | piecewise_constant_distribution(const param_type& __p) | |
5612 | : _M_param(__p) | |
5613 | { } | |
5614 | ||
5615 | /** | |
5616 | * @brief Resets the distribution state. | |
5617 | */ | |
5618 | void | |
5619 | reset() | |
5620 | { } | |
5621 | ||
5622 | /** | |
5623 | * @brief Returns a vector of the intervals. | |
5624 | */ | |
5625 | std::vector<_RealType> | |
5626 | intervals() const | |
879b9073 PC |
5627 | { |
5628 | if (_M_param._M_int.empty()) | |
5629 | { | |
5630 | std::vector<_RealType> __tmp(2); | |
5631 | __tmp[1] = _RealType(1); | |
5632 | return __tmp; | |
5633 | } | |
5634 | else | |
5635 | return _M_param._M_int; | |
5636 | } | |
8e79468d BK |
5637 | |
5638 | /** | |
5639 | * @brief Returns a vector of the probability densities. | |
5640 | */ | |
5641 | std::vector<double> | |
5642 | densities() const | |
879b9073 PC |
5643 | { |
5644 | return _M_param._M_den.empty() | |
5645 | ? std::vector<double>(1, 1.0) : _M_param._M_den; | |
5646 | } | |
8e79468d BK |
5647 | |
5648 | /** | |
5649 | * @brief Returns the parameter set of the distribution. | |
5650 | */ | |
5651 | param_type | |
5652 | param() const | |
5653 | { return _M_param; } | |
5654 | ||
5655 | /** | |
5656 | * @brief Sets the parameter set of the distribution. | |
5657 | * @param __param The new parameter set of the distribution. | |
5658 | */ | |
5659 | void | |
5660 | param(const param_type& __param) | |
5661 | { _M_param = __param; } | |
5662 | ||
5663 | /** | |
5664 | * @brief Returns the greatest lower bound value of the distribution. | |
5665 | */ | |
5666 | result_type | |
5667 | min() const | |
879b9073 PC |
5668 | { |
5669 | return _M_param._M_int.empty() | |
5670 | ? result_type(0) : _M_param._M_int.front(); | |
5671 | } | |
8e79468d BK |
5672 | |
5673 | /** | |
5674 | * @brief Returns the least upper bound value of the distribution. | |
5675 | */ | |
5676 | result_type | |
5677 | max() const | |
879b9073 PC |
5678 | { |
5679 | return _M_param._M_int.empty() | |
5680 | ? result_type(1) : _M_param._M_int.back(); | |
5681 | } | |
8e79468d | 5682 | |
247d8075 PC |
5683 | /** |
5684 | * @brief Generating functions. | |
5685 | */ | |
8e79468d BK |
5686 | template<typename _UniformRandomNumberGenerator> |
5687 | result_type | |
5688 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5689 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5690 | |
5691 | template<typename _UniformRandomNumberGenerator> | |
5692 | result_type | |
5693 | operator()(_UniformRandomNumberGenerator& __urng, | |
5694 | const param_type& __p); | |
5695 | ||
7b93bdde UD |
5696 | template<typename _ForwardIterator, |
5697 | typename _UniformRandomNumberGenerator> | |
5698 | void | |
5699 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5700 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5701 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5702 | |
5703 | template<typename _ForwardIterator, | |
5704 | typename _UniformRandomNumberGenerator> | |
5705 | void | |
5706 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5707 | _UniformRandomNumberGenerator& __urng, | |
5708 | const param_type& __p) | |
5709 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5710 | ||
5711 | template<typename _UniformRandomNumberGenerator> | |
5712 | void | |
5713 | __generate(result_type* __f, result_type* __t, | |
5714 | _UniformRandomNumberGenerator& __urng, | |
5715 | const param_type& __p) | |
5716 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5717 | ||
5bcb3b4d PC |
5718 | /** |
5719 | * @brief Return true if two piecewise constant distributions have the | |
5720 | * same parameters. | |
5721 | */ | |
5722 | friend bool | |
5723 | operator==(const piecewise_constant_distribution& __d1, | |
5724 | const piecewise_constant_distribution& __d2) | |
5725 | { return __d1._M_param == __d2._M_param; } | |
5726 | ||
8e79468d | 5727 | /** |
64e1ab11 | 5728 | * @brief Inserts a %piecewise_constant_distribution random |
8e79468d BK |
5729 | * number distribution @p __x into the output stream @p __os. |
5730 | * | |
5731 | * @param __os An output stream. | |
64e1ab11 | 5732 | * @param __x A %piecewise_constant_distribution random number |
8e79468d BK |
5733 | * distribution. |
5734 | * | |
5735 | * @returns The output stream with the state of @p __x inserted or in | |
5736 | * an error state. | |
5737 | */ | |
5738 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5739 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5740 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5741 | const std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5742 | |
5743 | /** | |
64e1ab11 | 5744 | * @brief Extracts a %piecewise_constant_distribution random |
8e79468d BK |
5745 | * number distribution @p __x from the input stream @p __is. |
5746 | * | |
5747 | * @param __is An input stream. | |
64e1ab11 | 5748 | * @param __x A %piecewise_constant_distribution random number |
8e79468d BK |
5749 | * generator engine. |
5750 | * | |
5751 | * @returns The input stream with @p __x extracted or in an error | |
5752 | * state. | |
5753 | */ | |
5754 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5755 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5756 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5757 | std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5758 | |
5759 | private: | |
7b93bdde UD |
5760 | template<typename _ForwardIterator, |
5761 | typename _UniformRandomNumberGenerator> | |
5762 | void | |
5763 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5764 | _UniformRandomNumberGenerator& __urng, | |
5765 | const param_type& __p); | |
5766 | ||
8e79468d BK |
5767 | param_type _M_param; |
5768 | }; | |
5769 | ||
fc05e1ba PC |
5770 | /** |
5771 | * @brief Return true if two piecewise constant distributions have | |
5772 | * different parameters. | |
5773 | */ | |
5774 | template<typename _RealType> | |
5775 | inline bool | |
5776 | operator!=(const std::piecewise_constant_distribution<_RealType>& __d1, | |
5777 | const std::piecewise_constant_distribution<_RealType>& __d2) | |
5778 | { return !(__d1 == __d2); } | |
5779 | ||
8e79468d BK |
5780 | |
5781 | /** | |
5782 | * @brief A piecewise_linear_distribution random number distribution. | |
5783 | * | |
5784 | * The formula for the piecewise linear probability mass function is | |
5785 | * | |
5786 | */ | |
5787 | template<typename _RealType = double> | |
5788 | class piecewise_linear_distribution | |
5789 | { | |
77e3c516 | 5790 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5791 | "result_type must be a floating point type"); |
77e3c516 | 5792 | |
8e79468d BK |
5793 | public: |
5794 | /** The type of the range of the distribution. */ | |
5795 | typedef _RealType result_type; | |
12905f10 | 5796 | |
8e79468d BK |
5797 | /** Parameter type. */ |
5798 | struct param_type | |
5799 | { | |
5800 | typedef piecewise_linear_distribution<_RealType> distribution_type; | |
5801 | friend class piecewise_linear_distribution<_RealType>; | |
5802 | ||
f8dd9e0d | 5803 | param_type() |
879b9073 PC |
5804 | : _M_int(), _M_den(), _M_cp(), _M_m() |
5805 | { } | |
8e79468d BK |
5806 | |
5807 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5808 | param_type(_InputIteratorB __bfirst, | |
5809 | _InputIteratorB __bend, | |
5810 | _InputIteratorW __wbegin); | |
5811 | ||
5812 | template<typename _Func> | |
f8dd9e0d | 5813 | param_type(initializer_list<_RealType> __bl, _Func __fw); |
8e79468d BK |
5814 | |
5815 | template<typename _Func> | |
5816 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5817 | _Func __fw); | |
5818 | ||
ce9555cb PC |
5819 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5820 | param_type(const param_type&) = default; | |
5821 | param_type& operator=(const param_type&) = default; | |
5822 | ||
8e79468d BK |
5823 | std::vector<_RealType> |
5824 | intervals() const | |
879b9073 PC |
5825 | { |
5826 | if (_M_int.empty()) | |
5827 | { | |
5828 | std::vector<_RealType> __tmp(2); | |
5829 | __tmp[1] = _RealType(1); | |
5830 | return __tmp; | |
5831 | } | |
5832 | else | |
5833 | return _M_int; | |
5834 | } | |
8e79468d BK |
5835 | |
5836 | std::vector<double> | |
5837 | densities() const | |
879b9073 | 5838 | { return _M_den.empty() ? std::vector<double>(2, 1.0) : _M_den; } |
8e79468d | 5839 | |
fc05e1ba PC |
5840 | friend bool |
5841 | operator==(const param_type& __p1, const param_type& __p2) | |
12905f10 JW |
5842 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } |
5843 | ||
5844 | friend bool | |
5845 | operator!=(const param_type& __p1, const param_type& __p2) | |
5846 | { return !(__p1 == __p2); } | |
fc05e1ba | 5847 | |
8e79468d BK |
5848 | private: |
5849 | void | |
5850 | _M_initialize(); | |
5851 | ||
5852 | std::vector<_RealType> _M_int; | |
5853 | std::vector<double> _M_den; | |
5854 | std::vector<double> _M_cp; | |
5855 | std::vector<double> _M_m; | |
5856 | }; | |
5857 | ||
8e79468d BK |
5858 | piecewise_linear_distribution() |
5859 | : _M_param() | |
5860 | { } | |
5861 | ||
5862 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5863 | piecewise_linear_distribution(_InputIteratorB __bfirst, | |
5864 | _InputIteratorB __bend, | |
5865 | _InputIteratorW __wbegin) | |
5866 | : _M_param(__bfirst, __bend, __wbegin) | |
5867 | { } | |
5868 | ||
5869 | template<typename _Func> | |
f8dd9e0d | 5870 | piecewise_linear_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5871 | _Func __fw) |
f8dd9e0d | 5872 | : _M_param(__bl, __fw) |
8e79468d BK |
5873 | { } |
5874 | ||
5875 | template<typename _Func> | |
5876 | piecewise_linear_distribution(size_t __nw, | |
5877 | _RealType __xmin, _RealType __xmax, | |
5878 | _Func __fw) | |
5879 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5880 | { } | |
5881 | ||
5882 | explicit | |
5883 | piecewise_linear_distribution(const param_type& __p) | |
5884 | : _M_param(__p) | |
5885 | { } | |
5886 | ||
5887 | /** | |
5888 | * Resets the distribution state. | |
5889 | */ | |
5890 | void | |
5891 | reset() | |
5892 | { } | |
5893 | ||
5894 | /** | |
5895 | * @brief Return the intervals of the distribution. | |
5896 | */ | |
5897 | std::vector<_RealType> | |
5898 | intervals() const | |
879b9073 PC |
5899 | { |
5900 | if (_M_param._M_int.empty()) | |
5901 | { | |
5902 | std::vector<_RealType> __tmp(2); | |
5903 | __tmp[1] = _RealType(1); | |
5904 | return __tmp; | |
5905 | } | |
5906 | else | |
5907 | return _M_param._M_int; | |
5908 | } | |
8e79468d BK |
5909 | |
5910 | /** | |
5911 | * @brief Return a vector of the probability densities of the | |
5912 | * distribution. | |
5913 | */ | |
5914 | std::vector<double> | |
5915 | densities() const | |
879b9073 PC |
5916 | { |
5917 | return _M_param._M_den.empty() | |
5918 | ? std::vector<double>(2, 1.0) : _M_param._M_den; | |
5919 | } | |
8e79468d BK |
5920 | |
5921 | /** | |
5922 | * @brief Returns the parameter set of the distribution. | |
5923 | */ | |
5924 | param_type | |
5925 | param() const | |
5926 | { return _M_param; } | |
5927 | ||
5928 | /** | |
5929 | * @brief Sets the parameter set of the distribution. | |
5930 | * @param __param The new parameter set of the distribution. | |
5931 | */ | |
5932 | void | |
5933 | param(const param_type& __param) | |
5934 | { _M_param = __param; } | |
5935 | ||
5936 | /** | |
5937 | * @brief Returns the greatest lower bound value of the distribution. | |
5938 | */ | |
5939 | result_type | |
5940 | min() const | |
879b9073 PC |
5941 | { |
5942 | return _M_param._M_int.empty() | |
5943 | ? result_type(0) : _M_param._M_int.front(); | |
5944 | } | |
8e79468d BK |
5945 | |
5946 | /** | |
5947 | * @brief Returns the least upper bound value of the distribution. | |
5948 | */ | |
5949 | result_type | |
5950 | max() const | |
879b9073 PC |
5951 | { |
5952 | return _M_param._M_int.empty() | |
5953 | ? result_type(1) : _M_param._M_int.back(); | |
5954 | } | |
8e79468d | 5955 | |
247d8075 PC |
5956 | /** |
5957 | * @brief Generating functions. | |
5958 | */ | |
8e79468d BK |
5959 | template<typename _UniformRandomNumberGenerator> |
5960 | result_type | |
5961 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5962 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5963 | |
5964 | template<typename _UniformRandomNumberGenerator> | |
5965 | result_type | |
5966 | operator()(_UniformRandomNumberGenerator& __urng, | |
5967 | const param_type& __p); | |
5968 | ||
7b93bdde UD |
5969 | template<typename _ForwardIterator, |
5970 | typename _UniformRandomNumberGenerator> | |
5971 | void | |
5972 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5973 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5974 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5975 | |
5976 | template<typename _ForwardIterator, | |
5977 | typename _UniformRandomNumberGenerator> | |
5978 | void | |
5979 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5980 | _UniformRandomNumberGenerator& __urng, | |
5981 | const param_type& __p) | |
5982 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5983 | ||
5984 | template<typename _UniformRandomNumberGenerator> | |
5985 | void | |
5986 | __generate(result_type* __f, result_type* __t, | |
5987 | _UniformRandomNumberGenerator& __urng, | |
5988 | const param_type& __p) | |
5989 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5990 | ||
5bcb3b4d PC |
5991 | /** |
5992 | * @brief Return true if two piecewise linear distributions have the | |
5993 | * same parameters. | |
5994 | */ | |
5995 | friend bool | |
5996 | operator==(const piecewise_linear_distribution& __d1, | |
5997 | const piecewise_linear_distribution& __d2) | |
5998 | { return __d1._M_param == __d2._M_param; } | |
5999 | ||
8e79468d BK |
6000 | /** |
6001 | * @brief Inserts a %piecewise_linear_distribution random number | |
6002 | * distribution @p __x into the output stream @p __os. | |
6003 | * | |
6004 | * @param __os An output stream. | |
6005 | * @param __x A %piecewise_linear_distribution random number | |
6006 | * distribution. | |
6007 | * | |
6008 | * @returns The output stream with the state of @p __x inserted or in | |
6009 | * an error state. | |
6010 | */ | |
6011 | template<typename _RealType1, typename _CharT, typename _Traits> | |
6012 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
6013 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
6014 | const std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
6015 | |
6016 | /** | |
6017 | * @brief Extracts a %piecewise_linear_distribution random number | |
6018 | * distribution @p __x from the input stream @p __is. | |
6019 | * | |
6020 | * @param __is An input stream. | |
6021 | * @param __x A %piecewise_linear_distribution random number | |
6022 | * generator engine. | |
6023 | * | |
6024 | * @returns The input stream with @p __x extracted or in an error | |
6025 | * state. | |
6026 | */ | |
6027 | template<typename _RealType1, typename _CharT, typename _Traits> | |
6028 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
6029 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
6030 | std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
6031 | |
6032 | private: | |
7b93bdde UD |
6033 | template<typename _ForwardIterator, |
6034 | typename _UniformRandomNumberGenerator> | |
6035 | void | |
6036 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
6037 | _UniformRandomNumberGenerator& __urng, | |
6038 | const param_type& __p); | |
6039 | ||
8e79468d BK |
6040 | param_type _M_param; |
6041 | }; | |
6042 | ||
fc05e1ba PC |
6043 | /** |
6044 | * @brief Return true if two piecewise linear distributions have | |
6045 | * different parameters. | |
6046 | */ | |
6047 | template<typename _RealType> | |
6048 | inline bool | |
6049 | operator!=(const std::piecewise_linear_distribution<_RealType>& __d1, | |
6050 | const std::piecewise_linear_distribution<_RealType>& __d2) | |
6051 | { return !(__d1 == __d2); } | |
6052 | ||
8e79468d | 6053 | |
014b6dbc | 6054 | /// @} group random_distributions_poisson |
8e79468d | 6055 | |
014b6dbc | 6056 | /// @} *group random_distributions |
8e79468d BK |
6057 | |
6058 | /** | |
037181bc BK |
6059 | * @addtogroup random_utilities Random Number Utilities |
6060 | * @ingroup random | |
8e79468d BK |
6061 | * @{ |
6062 | */ | |
6063 | ||
6064 | /** | |
6065 | * @brief The seed_seq class generates sequences of seeds for random | |
6066 | * number generators. | |
6067 | */ | |
6068 | class seed_seq | |
6069 | { | |
8e79468d BK |
6070 | public: |
6071 | /** The type of the seed vales. */ | |
6072 | typedef uint_least32_t result_type; | |
6073 | ||
6074 | /** Default constructor. */ | |
9933eb86 | 6075 | seed_seq() noexcept |
8e79468d BK |
6076 | : _M_v() |
6077 | { } | |
6078 | ||
6c63cb23 | 6079 | template<typename _IntType, typename = _Require<is_integral<_IntType>>> |
23f75da9 | 6080 | seed_seq(std::initializer_list<_IntType> __il); |
8e79468d BK |
6081 | |
6082 | template<typename _InputIterator> | |
6083 | seed_seq(_InputIterator __begin, _InputIterator __end); | |
6084 | ||
6085 | // generating functions | |
6086 | template<typename _RandomAccessIterator> | |
6087 | void | |
6088 | generate(_RandomAccessIterator __begin, _RandomAccessIterator __end); | |
6089 | ||
6090 | // property functions | |
9933eb86 | 6091 | size_t size() const noexcept |
8e79468d BK |
6092 | { return _M_v.size(); } |
6093 | ||
593cda3e | 6094 | template<typename _OutputIterator> |
8e79468d | 6095 | void |
593cda3e | 6096 | param(_OutputIterator __dest) const |
8e79468d BK |
6097 | { std::copy(_M_v.begin(), _M_v.end(), __dest); } |
6098 | ||
d747ee05 JW |
6099 | // no copy functions |
6100 | seed_seq(const seed_seq&) = delete; | |
6101 | seed_seq& operator=(const seed_seq&) = delete; | |
6102 | ||
8e79468d | 6103 | private: |
94986f6d | 6104 | std::vector<result_type> _M_v; |
8e79468d BK |
6105 | }; |
6106 | ||
014b6dbc | 6107 | /// @} group random_utilities |
8e79468d | 6108 | |
014b6dbc | 6109 | /// @} group random |
12ffa228 BK |
6110 | |
6111 | _GLIBCXX_END_NAMESPACE_VERSION | |
6112 | } // namespace std | |
8e79468d | 6113 | |
06f29237 | 6114 | #endif |