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1 | // random number generation -*- C++ -*- |
2 | ||
cbe34bb5 | 3 | // Copyright (C) 2009-2017 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 | ||
51 | /** | |
52 | * @brief A function template for converting the output of a (integral) | |
53 | * uniform random number generator to a floatng point result in the range | |
54 | * [0-1). | |
55 | */ | |
56 | template<typename _RealType, size_t __bits, | |
57 | typename _UniformRandomNumberGenerator> | |
58 | _RealType | |
59 | generate_canonical(_UniformRandomNumberGenerator& __g); | |
60 | ||
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61 | _GLIBCXX_END_NAMESPACE_VERSION |
62 | ||
8e79468d BK |
63 | /* |
64 | * Implementation-space details. | |
65 | */ | |
66 | namespace __detail | |
67 | { | |
12ffa228 BK |
68 | _GLIBCXX_BEGIN_NAMESPACE_VERSION |
69 | ||
8e79468d | 70 | template<typename _UIntType, size_t __w, |
95fe602e PC |
71 | bool = __w < static_cast<size_t> |
72 | (std::numeric_limits<_UIntType>::digits)> | |
8e79468d BK |
73 | struct _Shift |
74 | { static const _UIntType __value = 0; }; | |
75 | ||
76 | template<typename _UIntType, size_t __w> | |
77 | struct _Shift<_UIntType, __w, true> | |
78 | { static const _UIntType __value = _UIntType(1) << __w; }; | |
79 | ||
cf48c255 MG |
80 | template<int __s, |
81 | int __which = ((__s <= __CHAR_BIT__ * sizeof (int)) | |
82 | + (__s <= __CHAR_BIT__ * sizeof (long)) | |
83 | + (__s <= __CHAR_BIT__ * sizeof (long long)) | |
84 | /* assume long long no bigger than __int128 */ | |
85 | + (__s <= 128))> | |
86 | struct _Select_uint_least_t | |
87 | { | |
88 | static_assert(__which < 0, /* needs to be dependent */ | |
89 | "sorry, would be too much trouble for a slow result"); | |
90 | }; | |
91 | ||
92 | template<int __s> | |
93 | struct _Select_uint_least_t<__s, 4> | |
94 | { typedef unsigned int type; }; | |
95 | ||
96 | template<int __s> | |
97 | struct _Select_uint_least_t<__s, 3> | |
98 | { typedef unsigned long type; }; | |
99 | ||
100 | template<int __s> | |
101 | struct _Select_uint_least_t<__s, 2> | |
102 | { typedef unsigned long long type; }; | |
103 | ||
104 | #ifdef _GLIBCXX_USE_INT128 | |
105 | template<int __s> | |
106 | struct _Select_uint_least_t<__s, 1> | |
107 | { typedef unsigned __int128 type; }; | |
108 | #endif | |
109 | ||
110 | // Assume a != 0, a < m, c < m, x < m. | |
111 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c, | |
112 | bool __big_enough = (!(__m & (__m - 1)) | |
113 | || (_Tp(-1) - __c) / __a >= __m - 1), | |
114 | bool __schrage_ok = __m % __a < __m / __a> | |
115 | struct _Mod | |
116 | { | |
117 | typedef typename _Select_uint_least_t<std::__lg(__a) | |
118 | + std::__lg(__m) + 2>::type _Tp2; | |
119 | static _Tp | |
120 | __calc(_Tp __x) | |
121 | { return static_cast<_Tp>((_Tp2(__a) * __x + __c) % __m); } | |
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) | |
cf48c255 | 151 | { return _Mod<_Tp, __m, __a, __c>::__calc(__x); } |
8e79468d BK |
152 | |
153 | /* | |
154 | * An adaptor class for converting the output of any Generator into | |
155 | * the input for a specific Distribution. | |
156 | */ | |
157 | template<typename _Engine, typename _DInputType> | |
158 | struct _Adaptor | |
159 | { | |
1c4ff014 | 160 | static_assert(std::is_floating_point<_DInputType>::value, |
0cded43d | 161 | "template argument must be a floating point type"); |
8e79468d BK |
162 | |
163 | public: | |
164 | _Adaptor(_Engine& __g) | |
165 | : _M_g(__g) { } | |
166 | ||
167 | _DInputType | |
168 | min() const | |
9b88236b | 169 | { return _DInputType(0); } |
8e79468d BK |
170 | |
171 | _DInputType | |
172 | max() const | |
9b88236b | 173 | { return _DInputType(1); } |
8e79468d BK |
174 | |
175 | /* | |
176 | * Converts a value generated by the adapted random number generator | |
177 | * into a value in the input domain for the dependent random number | |
178 | * distribution. | |
8e79468d BK |
179 | */ |
180 | _DInputType | |
181 | operator()() | |
182 | { | |
9b88236b PC |
183 | return std::generate_canonical<_DInputType, |
184 | std::numeric_limits<_DInputType>::digits, | |
185 | _Engine>(_M_g); | |
8e79468d BK |
186 | } |
187 | ||
188 | private: | |
189 | _Engine& _M_g; | |
190 | }; | |
12ffa228 BK |
191 | |
192 | _GLIBCXX_END_NAMESPACE_VERSION | |
8e79468d BK |
193 | } // namespace __detail |
194 | ||
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195 | _GLIBCXX_BEGIN_NAMESPACE_VERSION |
196 | ||
8e79468d | 197 | /** |
037181bc BK |
198 | * @addtogroup random_generators Random Number Generators |
199 | * @ingroup random | |
8e79468d BK |
200 | * |
201 | * These classes define objects which provide random or pseudorandom | |
202 | * numbers, either from a discrete or a continuous interval. The | |
203 | * random number generator supplied as a part of this library are | |
204 | * all uniform random number generators which provide a sequence of | |
205 | * random number uniformly distributed over their range. | |
206 | * | |
207 | * A number generator is a function object with an operator() that | |
208 | * takes zero arguments and returns a number. | |
209 | * | |
210 | * A compliant random number generator must satisfy the following | |
211 | * requirements. <table border=1 cellpadding=10 cellspacing=0> | |
212 | * <caption align=top>Random Number Generator Requirements</caption> | |
213 | * <tr><td>To be documented.</td></tr> </table> | |
214 | * | |
215 | * @{ | |
216 | */ | |
217 | ||
218 | /** | |
219 | * @brief A model of a linear congruential random number generator. | |
220 | * | |
6cc5a790 BK |
221 | * A random number generator that produces pseudorandom numbers via |
222 | * linear function: | |
223 | * @f[ | |
224 | * x_{i+1}\leftarrow(ax_{i} + c) \bmod m | |
225 | * @f] | |
8e79468d BK |
226 | * |
227 | * The template parameter @p _UIntType must be an unsigned integral type | |
228 | * large enough to store values up to (__m-1). If the template parameter | |
229 | * @p __m is 0, the modulus @p __m used is | |
230 | * std::numeric_limits<_UIntType>::max() plus 1. Otherwise, the template | |
231 | * parameters @p __a and @p __c must be less than @p __m. | |
232 | * | |
6cc5a790 | 233 | * The size of the state is @f$1@f$. |
8e79468d BK |
234 | */ |
235 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
236 | class linear_congruential_engine | |
237 | { | |
0cded43d JW |
238 | static_assert(std::is_unsigned<_UIntType>::value, |
239 | "result_type must be an unsigned integral type"); | |
77e3c516 | 240 | static_assert(__m == 0u || (__a < __m && __c < __m), |
f6d08b43 | 241 | "template argument substituting __m out of bounds"); |
8e79468d BK |
242 | |
243 | public: | |
244 | /** The type of the generated random value. */ | |
245 | typedef _UIntType result_type; | |
246 | ||
247 | /** The multiplier. */ | |
94a86be0 | 248 | static constexpr result_type multiplier = __a; |
8e79468d | 249 | /** An increment. */ |
94a86be0 | 250 | static constexpr result_type increment = __c; |
8e79468d | 251 | /** The modulus. */ |
94a86be0 BK |
252 | static constexpr result_type modulus = __m; |
253 | static constexpr result_type default_seed = 1u; | |
8e79468d BK |
254 | |
255 | /** | |
256 | * @brief Constructs a %linear_congruential_engine random number | |
257 | * generator engine with seed @p __s. The default seed value | |
258 | * is 1. | |
259 | * | |
260 | * @param __s The initial seed value. | |
261 | */ | |
262 | explicit | |
263 | linear_congruential_engine(result_type __s = default_seed) | |
15ecdcc6 | 264 | { seed(__s); } |
8e79468d BK |
265 | |
266 | /** | |
267 | * @brief Constructs a %linear_congruential_engine random number | |
268 | * generator engine seeded from the seed sequence @p __q. | |
269 | * | |
270 | * @param __q the seed sequence. | |
271 | */ | |
05eeebfe PC |
272 | template<typename _Sseq, typename = typename |
273 | std::enable_if<!std::is_same<_Sseq, linear_congruential_engine>::value> | |
274 | ::type> | |
15ecdcc6 PC |
275 | explicit |
276 | linear_congruential_engine(_Sseq& __q) | |
05eeebfe | 277 | { seed(__q); } |
8e79468d BK |
278 | |
279 | /** | |
280 | * @brief Reseeds the %linear_congruential_engine random number generator | |
04b70271 | 281 | * engine sequence to the seed @p __s. |
8e79468d BK |
282 | * |
283 | * @param __s The new seed. | |
284 | */ | |
285 | void | |
286 | seed(result_type __s = default_seed); | |
287 | ||
288 | /** | |
289 | * @brief Reseeds the %linear_congruential_engine random number generator | |
290 | * engine | |
291 | * sequence using values from the seed sequence @p __q. | |
292 | * | |
293 | * @param __q the seed sequence. | |
294 | */ | |
05eeebfe PC |
295 | template<typename _Sseq> |
296 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 297 | seed(_Sseq& __q); |
8e79468d BK |
298 | |
299 | /** | |
300 | * @brief Gets the smallest possible value in the output range. | |
301 | * | |
302 | * The minimum depends on the @p __c parameter: if it is zero, the | |
303 | * minimum generated must be > 0, otherwise 0 is allowed. | |
8e79468d | 304 | */ |
94a86be0 BK |
305 | static constexpr result_type |
306 | min() | |
96a9203b | 307 | { return __c == 0u ? 1u : 0u; } |
8e79468d BK |
308 | |
309 | /** | |
310 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 311 | */ |
94a86be0 BK |
312 | static constexpr result_type |
313 | max() | |
96a9203b | 314 | { return __m - 1u; } |
8e79468d BK |
315 | |
316 | /** | |
317 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
318 | */ |
319 | void | |
320 | discard(unsigned long long __z) | |
321 | { | |
322 | for (; __z != 0ULL; --__z) | |
323 | (*this)(); | |
324 | } | |
325 | ||
326 | /** | |
327 | * @brief Gets the next random number in the sequence. | |
328 | */ | |
329 | result_type | |
b01630bb PC |
330 | operator()() |
331 | { | |
b94f4bef | 332 | _M_x = __detail::__mod<_UIntType, __m, __a, __c>(_M_x); |
b01630bb PC |
333 | return _M_x; |
334 | } | |
8e79468d BK |
335 | |
336 | /** | |
337 | * @brief Compares two linear congruential random number generator | |
338 | * objects of the same type for equality. | |
339 | * | |
340 | * @param __lhs A linear congruential random number generator object. | |
341 | * @param __rhs Another linear congruential random number generator | |
342 | * object. | |
343 | * | |
fc05e1ba PC |
344 | * @returns true if the infinite sequences of generated values |
345 | * would be equal, false otherwise. | |
8e79468d BK |
346 | */ |
347 | friend bool | |
348 | operator==(const linear_congruential_engine& __lhs, | |
349 | const linear_congruential_engine& __rhs) | |
350 | { return __lhs._M_x == __rhs._M_x; } | |
351 | ||
352 | /** | |
353 | * @brief Writes the textual representation of the state x(i) of x to | |
354 | * @p __os. | |
355 | * | |
356 | * @param __os The output stream. | |
357 | * @param __lcr A % linear_congruential_engine random number generator. | |
358 | * @returns __os. | |
359 | */ | |
360 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 361 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 362 | friend std::basic_ostream<_CharT, _Traits>& |
93c66bc6 | 363 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 364 | const std::linear_congruential_engine<_UIntType1, |
93c66bc6 | 365 | __a1, __c1, __m1>& __lcr); |
8e79468d BK |
366 | |
367 | /** | |
368 | * @brief Sets the state of the engine by reading its textual | |
369 | * representation from @p __is. | |
370 | * | |
371 | * The textual representation must have been previously written using | |
372 | * an output stream whose imbued locale and whose type's template | |
373 | * specialization arguments _CharT and _Traits were the same as those | |
374 | * of @p __is. | |
375 | * | |
376 | * @param __is The input stream. | |
377 | * @param __lcr A % linear_congruential_engine random number generator. | |
378 | * @returns __is. | |
379 | */ | |
380 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 381 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 382 | friend std::basic_istream<_CharT, _Traits>& |
93c66bc6 | 383 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 384 | std::linear_congruential_engine<_UIntType1, __a1, |
93c66bc6 | 385 | __c1, __m1>& __lcr); |
8e79468d BK |
386 | |
387 | private: | |
8e79468d BK |
388 | _UIntType _M_x; |
389 | }; | |
390 | ||
fc05e1ba PC |
391 | /** |
392 | * @brief Compares two linear congruential random number generator | |
393 | * objects of the same type for inequality. | |
394 | * | |
395 | * @param __lhs A linear congruential random number generator object. | |
396 | * @param __rhs Another linear congruential random number generator | |
397 | * object. | |
398 | * | |
399 | * @returns true if the infinite sequences of generated values | |
400 | * would be different, false otherwise. | |
401 | */ | |
402 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
403 | inline bool | |
404 | operator!=(const std::linear_congruential_engine<_UIntType, __a, | |
405 | __c, __m>& __lhs, | |
406 | const std::linear_congruential_engine<_UIntType, __a, | |
407 | __c, __m>& __rhs) | |
408 | { return !(__lhs == __rhs); } | |
409 | ||
8e79468d BK |
410 | |
411 | /** | |
412 | * A generalized feedback shift register discrete random number generator. | |
413 | * | |
414 | * This algorithm avoids multiplication and division and is designed to be | |
415 | * friendly to a pipelined architecture. If the parameters are chosen | |
416 | * correctly, this generator will produce numbers with a very long period and | |
417 | * fairly good apparent entropy, although still not cryptographically strong. | |
418 | * | |
419 | * The best way to use this generator is with the predefined mt19937 class. | |
420 | * | |
421 | * This algorithm was originally invented by Makoto Matsumoto and | |
422 | * Takuji Nishimura. | |
423 | * | |
93c66bc6 BK |
424 | * @tparam __w Word size, the number of bits in each element of |
425 | * the state vector. | |
426 | * @tparam __n The degree of recursion. | |
427 | * @tparam __m The period parameter. | |
428 | * @tparam __r The separation point bit index. | |
429 | * @tparam __a The last row of the twist matrix. | |
430 | * @tparam __u The first right-shift tempering matrix parameter. | |
431 | * @tparam __d The first right-shift tempering matrix mask. | |
432 | * @tparam __s The first left-shift tempering matrix parameter. | |
433 | * @tparam __b The first left-shift tempering matrix mask. | |
434 | * @tparam __t The second left-shift tempering matrix parameter. | |
435 | * @tparam __c The second left-shift tempering matrix mask. | |
436 | * @tparam __l The second right-shift tempering matrix parameter. | |
437 | * @tparam __f Initialization multiplier. | |
8e79468d BK |
438 | */ |
439 | template<typename _UIntType, size_t __w, | |
440 | size_t __n, size_t __m, size_t __r, | |
441 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
442 | _UIntType __b, size_t __t, | |
443 | _UIntType __c, size_t __l, _UIntType __f> | |
444 | class mersenne_twister_engine | |
445 | { | |
0cded43d JW |
446 | static_assert(std::is_unsigned<_UIntType>::value, |
447 | "result_type must be an unsigned integral type"); | |
77e3c516 | 448 | static_assert(1u <= __m && __m <= __n, |
f6d08b43 PC |
449 | "template argument substituting __m out of bounds"); |
450 | static_assert(__r <= __w, "template argument substituting " | |
451 | "__r out of bound"); | |
452 | static_assert(__u <= __w, "template argument substituting " | |
453 | "__u out of bound"); | |
454 | static_assert(__s <= __w, "template argument substituting " | |
455 | "__s out of bound"); | |
456 | static_assert(__t <= __w, "template argument substituting " | |
457 | "__t out of bound"); | |
458 | static_assert(__l <= __w, "template argument substituting " | |
459 | "__l out of bound"); | |
77e3c516 | 460 | static_assert(__w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 461 | "template argument substituting __w out of bound"); |
6855fe45 | 462 | static_assert(__a <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 463 | "template argument substituting __a out of bound"); |
6855fe45 | 464 | static_assert(__b <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 465 | "template argument substituting __b out of bound"); |
6855fe45 | 466 | static_assert(__c <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 467 | "template argument substituting __c out of bound"); |
b94f4bef | 468 | static_assert(__d <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 469 | "template argument substituting __d out of bound"); |
b94f4bef | 470 | static_assert(__f <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 471 | "template argument substituting __f out of bound"); |
8e79468d BK |
472 | |
473 | public: | |
474 | /** The type of the generated random value. */ | |
475 | typedef _UIntType result_type; | |
476 | ||
477 | // parameter values | |
94a86be0 BK |
478 | static constexpr size_t word_size = __w; |
479 | static constexpr size_t state_size = __n; | |
480 | static constexpr size_t shift_size = __m; | |
481 | static constexpr size_t mask_bits = __r; | |
482 | static constexpr result_type xor_mask = __a; | |
483 | static constexpr size_t tempering_u = __u; | |
484 | static constexpr result_type tempering_d = __d; | |
485 | static constexpr size_t tempering_s = __s; | |
486 | static constexpr result_type tempering_b = __b; | |
487 | static constexpr size_t tempering_t = __t; | |
488 | static constexpr result_type tempering_c = __c; | |
489 | static constexpr size_t tempering_l = __l; | |
490 | static constexpr result_type initialization_multiplier = __f; | |
491 | static constexpr result_type default_seed = 5489u; | |
8e79468d BK |
492 | |
493 | // constructors and member function | |
494 | explicit | |
495 | mersenne_twister_engine(result_type __sd = default_seed) | |
496 | { seed(__sd); } | |
497 | ||
498 | /** | |
499 | * @brief Constructs a %mersenne_twister_engine random number generator | |
500 | * engine seeded from the seed sequence @p __q. | |
501 | * | |
502 | * @param __q the seed sequence. | |
503 | */ | |
05eeebfe PC |
504 | template<typename _Sseq, typename = typename |
505 | std::enable_if<!std::is_same<_Sseq, mersenne_twister_engine>::value> | |
506 | ::type> | |
15ecdcc6 PC |
507 | explicit |
508 | mersenne_twister_engine(_Sseq& __q) | |
05eeebfe | 509 | { seed(__q); } |
8e79468d BK |
510 | |
511 | void | |
512 | seed(result_type __sd = default_seed); | |
513 | ||
05eeebfe PC |
514 | template<typename _Sseq> |
515 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 516 | seed(_Sseq& __q); |
8e79468d BK |
517 | |
518 | /** | |
519 | * @brief Gets the smallest possible value in the output range. | |
8e79468d | 520 | */ |
94a86be0 BK |
521 | static constexpr result_type |
522 | min() | |
8e79468d BK |
523 | { return 0; }; |
524 | ||
525 | /** | |
526 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 527 | */ |
94a86be0 BK |
528 | static constexpr result_type |
529 | max() | |
6855fe45 | 530 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
531 | |
532 | /** | |
533 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
534 | */ |
535 | void | |
b668e41a | 536 | discard(unsigned long long __z); |
8e79468d BK |
537 | |
538 | result_type | |
539 | operator()(); | |
540 | ||
541 | /** | |
542 | * @brief Compares two % mersenne_twister_engine random number generator | |
543 | * objects of the same type for equality. | |
544 | * | |
545 | * @param __lhs A % mersenne_twister_engine random number generator | |
546 | * object. | |
547 | * @param __rhs Another % mersenne_twister_engine random number | |
548 | * generator object. | |
549 | * | |
fc05e1ba PC |
550 | * @returns true if the infinite sequences of generated values |
551 | * would be equal, false otherwise. | |
8e79468d BK |
552 | */ |
553 | friend bool | |
554 | operator==(const mersenne_twister_engine& __lhs, | |
555 | const mersenne_twister_engine& __rhs) | |
31645179 PC |
556 | { return (std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x) |
557 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
558 | |
559 | /** | |
560 | * @brief Inserts the current state of a % mersenne_twister_engine | |
561 | * random number generator engine @p __x into the output stream | |
562 | * @p __os. | |
563 | * | |
564 | * @param __os An output stream. | |
565 | * @param __x A % mersenne_twister_engine random number generator | |
566 | * engine. | |
567 | * | |
568 | * @returns The output stream with the state of @p __x inserted or in | |
569 | * an error state. | |
570 | */ | |
571 | template<typename _UIntType1, | |
572 | size_t __w1, size_t __n1, | |
573 | size_t __m1, size_t __r1, | |
574 | _UIntType1 __a1, size_t __u1, | |
575 | _UIntType1 __d1, size_t __s1, | |
576 | _UIntType1 __b1, size_t __t1, | |
577 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
578 | typename _CharT, typename _Traits> | |
579 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 580 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d PC |
581 | const std::mersenne_twister_engine<_UIntType1, __w1, __n1, |
582 | __m1, __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 583 | __l1, __f1>& __x); |
8e79468d BK |
584 | |
585 | /** | |
586 | * @brief Extracts the current state of a % mersenne_twister_engine | |
587 | * random number generator engine @p __x from the input stream | |
588 | * @p __is. | |
589 | * | |
590 | * @param __is An input stream. | |
591 | * @param __x A % mersenne_twister_engine random number generator | |
592 | * engine. | |
593 | * | |
594 | * @returns The input stream with the state of @p __x extracted or in | |
595 | * an error state. | |
596 | */ | |
597 | template<typename _UIntType1, | |
598 | size_t __w1, size_t __n1, | |
599 | size_t __m1, size_t __r1, | |
600 | _UIntType1 __a1, size_t __u1, | |
601 | _UIntType1 __d1, size_t __s1, | |
602 | _UIntType1 __b1, size_t __t1, | |
603 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
604 | typename _CharT, typename _Traits> | |
605 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 606 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d PC |
607 | std::mersenne_twister_engine<_UIntType1, __w1, __n1, __m1, |
608 | __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 609 | __l1, __f1>& __x); |
8e79468d BK |
610 | |
611 | private: | |
b668e41a UD |
612 | void _M_gen_rand(); |
613 | ||
8e79468d BK |
614 | _UIntType _M_x[state_size]; |
615 | size_t _M_p; | |
616 | }; | |
617 | ||
fc05e1ba PC |
618 | /** |
619 | * @brief Compares two % mersenne_twister_engine random number generator | |
620 | * objects of the same type for inequality. | |
621 | * | |
622 | * @param __lhs A % mersenne_twister_engine random number generator | |
623 | * object. | |
624 | * @param __rhs Another % mersenne_twister_engine random number | |
625 | * generator object. | |
626 | * | |
627 | * @returns true if the infinite sequences of generated values | |
628 | * would be different, false otherwise. | |
629 | */ | |
630 | template<typename _UIntType, size_t __w, | |
631 | size_t __n, size_t __m, size_t __r, | |
632 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
633 | _UIntType __b, size_t __t, | |
634 | _UIntType __c, size_t __l, _UIntType __f> | |
635 | inline bool | |
636 | operator!=(const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
637 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __lhs, | |
638 | const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
639 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __rhs) | |
640 | { return !(__lhs == __rhs); } | |
641 | ||
642 | ||
8e79468d BK |
643 | /** |
644 | * @brief The Marsaglia-Zaman generator. | |
645 | * | |
646 | * This is a model of a Generalized Fibonacci discrete random number | |
647 | * generator, sometimes referred to as the SWC generator. | |
648 | * | |
649 | * A discrete random number generator that produces pseudorandom | |
6cc5a790 BK |
650 | * numbers using: |
651 | * @f[ | |
652 | * x_{i}\leftarrow(x_{i - s} - x_{i - r} - carry_{i-1}) \bmod m | |
653 | * @f] | |
8e79468d | 654 | * |
6cc5a790 BK |
655 | * The size of the state is @f$r@f$ |
656 | * and the maximum period of the generator is @f$(m^r - m^s - 1)@f$. | |
8e79468d BK |
657 | */ |
658 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
659 | class subtract_with_carry_engine | |
660 | { | |
0cded43d JW |
661 | static_assert(std::is_unsigned<_UIntType>::value, |
662 | "result_type must be an unsigned integral type"); | |
77e3c516 | 663 | static_assert(0u < __s && __s < __r, |
0cded43d | 664 | "0 < s < r"); |
77e3c516 | 665 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 666 | "template argument substituting __w out of bounds"); |
8e79468d BK |
667 | |
668 | public: | |
669 | /** The type of the generated random value. */ | |
670 | typedef _UIntType result_type; | |
671 | ||
672 | // parameter values | |
94a86be0 BK |
673 | static constexpr size_t word_size = __w; |
674 | static constexpr size_t short_lag = __s; | |
675 | static constexpr size_t long_lag = __r; | |
676 | static constexpr result_type default_seed = 19780503u; | |
8e79468d BK |
677 | |
678 | /** | |
679 | * @brief Constructs an explicitly seeded % subtract_with_carry_engine | |
680 | * random number generator. | |
681 | */ | |
682 | explicit | |
683 | subtract_with_carry_engine(result_type __sd = default_seed) | |
15ecdcc6 | 684 | { seed(__sd); } |
8e79468d BK |
685 | |
686 | /** | |
687 | * @brief Constructs a %subtract_with_carry_engine random number engine | |
688 | * seeded from the seed sequence @p __q. | |
689 | * | |
690 | * @param __q the seed sequence. | |
691 | */ | |
05eeebfe PC |
692 | template<typename _Sseq, typename = typename |
693 | std::enable_if<!std::is_same<_Sseq, subtract_with_carry_engine>::value> | |
694 | ::type> | |
15ecdcc6 PC |
695 | explicit |
696 | subtract_with_carry_engine(_Sseq& __q) | |
05eeebfe | 697 | { seed(__q); } |
8e79468d BK |
698 | |
699 | /** | |
6cc5a790 | 700 | * @brief Seeds the initial state @f$x_0@f$ of the random number |
8e79468d BK |
701 | * generator. |
702 | * | |
703 | * N1688[4.19] modifies this as follows. If @p __value == 0, | |
704 | * sets value to 19780503. In any case, with a linear | |
705 | * congruential generator lcg(i) having parameters @f$ m_{lcg} = | |
706 | * 2147483563, a_{lcg} = 40014, c_{lcg} = 0, and lcg(0) = value | |
707 | * @f$, sets @f$ x_{-r} \dots x_{-1} @f$ to @f$ lcg(1) \bmod m | |
708 | * \dots lcg(r) \bmod m @f$ respectively. If @f$ x_{-1} = 0 @f$ | |
709 | * set carry to 1, otherwise sets carry to 0. | |
710 | */ | |
711 | void | |
712 | seed(result_type __sd = default_seed); | |
713 | ||
714 | /** | |
6cc5a790 | 715 | * @brief Seeds the initial state @f$x_0@f$ of the |
8e79468d BK |
716 | * % subtract_with_carry_engine random number generator. |
717 | */ | |
05eeebfe PC |
718 | template<typename _Sseq> |
719 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 720 | seed(_Sseq& __q); |
8e79468d BK |
721 | |
722 | /** | |
723 | * @brief Gets the inclusive minimum value of the range of random | |
724 | * integers returned by this generator. | |
8e79468d | 725 | */ |
94a86be0 BK |
726 | static constexpr result_type |
727 | min() | |
8e79468d BK |
728 | { return 0; } |
729 | ||
730 | /** | |
731 | * @brief Gets the inclusive maximum value of the range of random | |
732 | * integers returned by this generator. | |
8e79468d | 733 | */ |
94a86be0 BK |
734 | static constexpr result_type |
735 | max() | |
6855fe45 | 736 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
737 | |
738 | /** | |
739 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
740 | */ |
741 | void | |
742 | discard(unsigned long long __z) | |
743 | { | |
744 | for (; __z != 0ULL; --__z) | |
745 | (*this)(); | |
746 | } | |
747 | ||
748 | /** | |
749 | * @brief Gets the next random number in the sequence. | |
750 | */ | |
751 | result_type | |
752 | operator()(); | |
753 | ||
754 | /** | |
755 | * @brief Compares two % subtract_with_carry_engine random number | |
756 | * generator objects of the same type for equality. | |
757 | * | |
758 | * @param __lhs A % subtract_with_carry_engine random number generator | |
759 | * object. | |
760 | * @param __rhs Another % subtract_with_carry_engine random number | |
761 | * generator object. | |
762 | * | |
fc05e1ba PC |
763 | * @returns true if the infinite sequences of generated values |
764 | * would be equal, false otherwise. | |
765 | */ | |
8e79468d BK |
766 | friend bool |
767 | operator==(const subtract_with_carry_engine& __lhs, | |
768 | const subtract_with_carry_engine& __rhs) | |
31645179 PC |
769 | { return (std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x) |
770 | && __lhs._M_carry == __rhs._M_carry | |
771 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
772 | |
773 | /** | |
774 | * @brief Inserts the current state of a % subtract_with_carry_engine | |
775 | * random number generator engine @p __x into the output stream | |
776 | * @p __os. | |
777 | * | |
778 | * @param __os An output stream. | |
779 | * @param __x A % subtract_with_carry_engine random number generator | |
780 | * engine. | |
781 | * | |
782 | * @returns The output stream with the state of @p __x inserted or in | |
783 | * an error state. | |
784 | */ | |
785 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
786 | typename _CharT, typename _Traits> | |
787 | friend std::basic_ostream<_CharT, _Traits>& | |
00541349 | 788 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 789 | const std::subtract_with_carry_engine<_UIntType1, __w1, |
00541349 | 790 | __s1, __r1>& __x); |
8e79468d BK |
791 | |
792 | /** | |
793 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
794 | * random number generator engine @p __x from the input stream | |
795 | * @p __is. | |
796 | * | |
797 | * @param __is An input stream. | |
15ecdcc6 PC |
798 | * @param __x A % subtract_with_carry_engine random number generator |
799 | * engine. | |
8e79468d BK |
800 | * |
801 | * @returns The input stream with the state of @p __x extracted or in | |
802 | * an error state. | |
803 | */ | |
804 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
805 | typename _CharT, typename _Traits> | |
806 | friend std::basic_istream<_CharT, _Traits>& | |
00541349 | 807 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 808 | std::subtract_with_carry_engine<_UIntType1, __w1, |
00541349 | 809 | __s1, __r1>& __x); |
8e79468d BK |
810 | |
811 | private: | |
00541349 | 812 | /// The state of the generator. This is a ring buffer. |
8e79468d | 813 | _UIntType _M_x[long_lag]; |
00541349 JW |
814 | _UIntType _M_carry; ///< The carry |
815 | size_t _M_p; ///< Current index of x(i - r). | |
8e79468d BK |
816 | }; |
817 | ||
fc05e1ba PC |
818 | /** |
819 | * @brief Compares two % subtract_with_carry_engine random number | |
820 | * generator objects of the same type for inequality. | |
821 | * | |
822 | * @param __lhs A % subtract_with_carry_engine random number generator | |
823 | * object. | |
824 | * @param __rhs Another % subtract_with_carry_engine random number | |
825 | * generator object. | |
826 | * | |
827 | * @returns true if the infinite sequences of generated values | |
828 | * would be different, false otherwise. | |
829 | */ | |
830 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
831 | inline bool | |
832 | operator!=(const std::subtract_with_carry_engine<_UIntType, __w, | |
833 | __s, __r>& __lhs, | |
834 | const std::subtract_with_carry_engine<_UIntType, __w, | |
835 | __s, __r>& __rhs) | |
836 | { return !(__lhs == __rhs); } | |
837 | ||
838 | ||
8e79468d BK |
839 | /** |
840 | * Produces random numbers from some base engine by discarding blocks of | |
841 | * data. | |
842 | * | |
843 | * 0 <= @p __r <= @p __p | |
844 | */ | |
845 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
846 | class discard_block_engine | |
847 | { | |
77e3c516 | 848 | static_assert(1 <= __r && __r <= __p, |
f6d08b43 | 849 | "template argument substituting __r out of bounds"); |
8e79468d BK |
850 | |
851 | public: | |
852 | /** The type of the generated random value. */ | |
853 | typedef typename _RandomNumberEngine::result_type result_type; | |
854 | ||
855 | // parameter values | |
94a86be0 BK |
856 | static constexpr size_t block_size = __p; |
857 | static constexpr size_t used_block = __r; | |
8e79468d BK |
858 | |
859 | /** | |
860 | * @brief Constructs a default %discard_block_engine engine. | |
861 | * | |
862 | * The underlying engine is default constructed as well. | |
863 | */ | |
864 | discard_block_engine() | |
865 | : _M_b(), _M_n(0) { } | |
866 | ||
867 | /** | |
868 | * @brief Copy constructs a %discard_block_engine engine. | |
869 | * | |
870 | * Copies an existing base class random number generator. | |
93c66bc6 | 871 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
872 | */ |
873 | explicit | |
93c66bc6 BK |
874 | discard_block_engine(const _RandomNumberEngine& __rng) |
875 | : _M_b(__rng), _M_n(0) { } | |
8e79468d BK |
876 | |
877 | /** | |
878 | * @brief Move constructs a %discard_block_engine engine. | |
879 | * | |
880 | * Copies an existing base class random number generator. | |
93c66bc6 | 881 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
882 | */ |
883 | explicit | |
93c66bc6 BK |
884 | discard_block_engine(_RandomNumberEngine&& __rng) |
885 | : _M_b(std::move(__rng)), _M_n(0) { } | |
8e79468d BK |
886 | |
887 | /** | |
888 | * @brief Seed constructs a %discard_block_engine engine. | |
889 | * | |
890 | * Constructs the underlying generator engine seeded with @p __s. | |
891 | * @param __s A seed value for the base class engine. | |
892 | */ | |
893 | explicit | |
894 | discard_block_engine(result_type __s) | |
895 | : _M_b(__s), _M_n(0) { } | |
896 | ||
897 | /** | |
898 | * @brief Generator construct a %discard_block_engine engine. | |
899 | * | |
900 | * @param __q A seed sequence. | |
901 | */ | |
05eeebfe PC |
902 | template<typename _Sseq, typename = typename |
903 | std::enable_if<!std::is_same<_Sseq, discard_block_engine>::value | |
904 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
905 | ::type> | |
15ecdcc6 PC |
906 | explicit |
907 | discard_block_engine(_Sseq& __q) | |
908 | : _M_b(__q), _M_n(0) | |
909 | { } | |
8e79468d BK |
910 | |
911 | /** | |
912 | * @brief Reseeds the %discard_block_engine object with the default | |
913 | * seed for the underlying base class generator engine. | |
914 | */ | |
915 | void | |
916 | seed() | |
917 | { | |
918 | _M_b.seed(); | |
919 | _M_n = 0; | |
920 | } | |
921 | ||
922 | /** | |
923 | * @brief Reseeds the %discard_block_engine object with the default | |
924 | * seed for the underlying base class generator engine. | |
925 | */ | |
926 | void | |
927 | seed(result_type __s) | |
928 | { | |
929 | _M_b.seed(__s); | |
930 | _M_n = 0; | |
931 | } | |
932 | ||
933 | /** | |
934 | * @brief Reseeds the %discard_block_engine object with the given seed | |
935 | * sequence. | |
936 | * @param __q A seed generator function. | |
937 | */ | |
05eeebfe | 938 | template<typename _Sseq> |
15ecdcc6 PC |
939 | void |
940 | seed(_Sseq& __q) | |
941 | { | |
05eeebfe | 942 | _M_b.seed(__q); |
15ecdcc6 PC |
943 | _M_n = 0; |
944 | } | |
8e79468d BK |
945 | |
946 | /** | |
947 | * @brief Gets a const reference to the underlying generator engine | |
948 | * object. | |
949 | */ | |
950 | const _RandomNumberEngine& | |
18eeaec4 | 951 | base() const noexcept |
8e79468d BK |
952 | { return _M_b; } |
953 | ||
954 | /** | |
955 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 956 | */ |
94a86be0 BK |
957 | static constexpr result_type |
958 | min() | |
959 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
960 | |
961 | /** | |
962 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 963 | */ |
94a86be0 BK |
964 | static constexpr result_type |
965 | max() | |
966 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
967 | |
968 | /** | |
969 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
970 | */ |
971 | void | |
972 | discard(unsigned long long __z) | |
973 | { | |
974 | for (; __z != 0ULL; --__z) | |
975 | (*this)(); | |
976 | } | |
977 | ||
978 | /** | |
979 | * @brief Gets the next value in the generated random number sequence. | |
980 | */ | |
981 | result_type | |
982 | operator()(); | |
983 | ||
984 | /** | |
985 | * @brief Compares two %discard_block_engine random number generator | |
986 | * objects of the same type for equality. | |
987 | * | |
988 | * @param __lhs A %discard_block_engine random number generator object. | |
989 | * @param __rhs Another %discard_block_engine random number generator | |
990 | * object. | |
991 | * | |
fc05e1ba PC |
992 | * @returns true if the infinite sequences of generated values |
993 | * would be equal, false otherwise. | |
8e79468d BK |
994 | */ |
995 | friend bool | |
996 | operator==(const discard_block_engine& __lhs, | |
997 | const discard_block_engine& __rhs) | |
fc05e1ba | 998 | { return __lhs._M_b == __rhs._M_b && __lhs._M_n == __rhs._M_n; } |
8e79468d BK |
999 | |
1000 | /** | |
1001 | * @brief Inserts the current state of a %discard_block_engine random | |
1002 | * number generator engine @p __x into the output stream | |
1003 | * @p __os. | |
1004 | * | |
1005 | * @param __os An output stream. | |
1006 | * @param __x A %discard_block_engine random number generator engine. | |
1007 | * | |
1008 | * @returns The output stream with the state of @p __x inserted or in | |
1009 | * an error state. | |
1010 | */ | |
1011 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1012 | typename _CharT, typename _Traits> | |
1013 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1014 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1015 | const std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1016 | __p1, __r1>& __x); |
8e79468d BK |
1017 | |
1018 | /** | |
1019 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1020 | * random number generator engine @p __x from the input stream | |
1021 | * @p __is. | |
1022 | * | |
1023 | * @param __is An input stream. | |
1024 | * @param __x A %discard_block_engine random number generator engine. | |
1025 | * | |
1026 | * @returns The input stream with the state of @p __x extracted or in | |
1027 | * an error state. | |
1028 | */ | |
1029 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1030 | typename _CharT, typename _Traits> | |
1031 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 1032 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 1033 | std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1034 | __p1, __r1>& __x); |
8e79468d BK |
1035 | |
1036 | private: | |
1037 | _RandomNumberEngine _M_b; | |
1038 | size_t _M_n; | |
1039 | }; | |
1040 | ||
fc05e1ba PC |
1041 | /** |
1042 | * @brief Compares two %discard_block_engine random number generator | |
1043 | * objects of the same type for inequality. | |
1044 | * | |
1045 | * @param __lhs A %discard_block_engine random number generator object. | |
1046 | * @param __rhs Another %discard_block_engine random number generator | |
1047 | * object. | |
1048 | * | |
1049 | * @returns true if the infinite sequences of generated values | |
1050 | * would be different, false otherwise. | |
1051 | */ | |
1052 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
1053 | inline bool | |
1054 | operator!=(const std::discard_block_engine<_RandomNumberEngine, __p, | |
1055 | __r>& __lhs, | |
1056 | const std::discard_block_engine<_RandomNumberEngine, __p, | |
1057 | __r>& __rhs) | |
1058 | { return !(__lhs == __rhs); } | |
1059 | ||
1060 | ||
8e79468d BK |
1061 | /** |
1062 | * Produces random numbers by combining random numbers from some base | |
1063 | * engine to produce random numbers with a specifies number of bits @p __w. | |
1064 | */ | |
1065 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1066 | class independent_bits_engine | |
1067 | { | |
0cded43d JW |
1068 | static_assert(std::is_unsigned<_UIntType>::value, |
1069 | "result_type must be an unsigned integral type"); | |
77e3c516 | 1070 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 1071 | "template argument substituting __w out of bounds"); |
8e79468d BK |
1072 | |
1073 | public: | |
1074 | /** The type of the generated random value. */ | |
1075 | typedef _UIntType result_type; | |
1076 | ||
1077 | /** | |
1078 | * @brief Constructs a default %independent_bits_engine engine. | |
1079 | * | |
1080 | * The underlying engine is default constructed as well. | |
1081 | */ | |
1082 | independent_bits_engine() | |
1083 | : _M_b() { } | |
1084 | ||
1085 | /** | |
1086 | * @brief Copy constructs a %independent_bits_engine engine. | |
1087 | * | |
1088 | * Copies an existing base class random number generator. | |
93c66bc6 | 1089 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1090 | */ |
1091 | explicit | |
93c66bc6 BK |
1092 | independent_bits_engine(const _RandomNumberEngine& __rng) |
1093 | : _M_b(__rng) { } | |
8e79468d BK |
1094 | |
1095 | /** | |
1096 | * @brief Move constructs a %independent_bits_engine engine. | |
1097 | * | |
1098 | * Copies an existing base class random number generator. | |
93c66bc6 | 1099 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1100 | */ |
1101 | explicit | |
93c66bc6 BK |
1102 | independent_bits_engine(_RandomNumberEngine&& __rng) |
1103 | : _M_b(std::move(__rng)) { } | |
8e79468d BK |
1104 | |
1105 | /** | |
1106 | * @brief Seed constructs a %independent_bits_engine engine. | |
1107 | * | |
1108 | * Constructs the underlying generator engine seeded with @p __s. | |
1109 | * @param __s A seed value for the base class engine. | |
1110 | */ | |
1111 | explicit | |
1112 | independent_bits_engine(result_type __s) | |
1113 | : _M_b(__s) { } | |
1114 | ||
1115 | /** | |
1116 | * @brief Generator construct a %independent_bits_engine engine. | |
1117 | * | |
1118 | * @param __q A seed sequence. | |
1119 | */ | |
05eeebfe PC |
1120 | template<typename _Sseq, typename = typename |
1121 | std::enable_if<!std::is_same<_Sseq, independent_bits_engine>::value | |
1122 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
1123 | ::type> | |
15ecdcc6 PC |
1124 | explicit |
1125 | independent_bits_engine(_Sseq& __q) | |
1126 | : _M_b(__q) | |
1127 | { } | |
8e79468d BK |
1128 | |
1129 | /** | |
1130 | * @brief Reseeds the %independent_bits_engine object with the default | |
1131 | * seed for the underlying base class generator engine. | |
1132 | */ | |
1133 | void | |
1134 | seed() | |
1135 | { _M_b.seed(); } | |
1136 | ||
1137 | /** | |
1138 | * @brief Reseeds the %independent_bits_engine object with the default | |
1139 | * seed for the underlying base class generator engine. | |
1140 | */ | |
1141 | void | |
1142 | seed(result_type __s) | |
1143 | { _M_b.seed(__s); } | |
1144 | ||
1145 | /** | |
1146 | * @brief Reseeds the %independent_bits_engine object with the given | |
1147 | * seed sequence. | |
1148 | * @param __q A seed generator function. | |
1149 | */ | |
05eeebfe | 1150 | template<typename _Sseq> |
15ecdcc6 PC |
1151 | void |
1152 | seed(_Sseq& __q) | |
05eeebfe | 1153 | { _M_b.seed(__q); } |
8e79468d BK |
1154 | |
1155 | /** | |
1156 | * @brief Gets a const reference to the underlying generator engine | |
1157 | * object. | |
1158 | */ | |
1159 | const _RandomNumberEngine& | |
18eeaec4 | 1160 | base() const noexcept |
8e79468d BK |
1161 | { return _M_b; } |
1162 | ||
1163 | /** | |
1164 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 1165 | */ |
94a86be0 BK |
1166 | static constexpr result_type |
1167 | min() | |
8e79468d BK |
1168 | { return 0U; } |
1169 | ||
1170 | /** | |
1171 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 1172 | */ |
94a86be0 BK |
1173 | static constexpr result_type |
1174 | max() | |
6855fe45 | 1175 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
1176 | |
1177 | /** | |
1178 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
1179 | */ |
1180 | void | |
1181 | discard(unsigned long long __z) | |
1182 | { | |
1183 | for (; __z != 0ULL; --__z) | |
1184 | (*this)(); | |
1185 | } | |
1186 | ||
1187 | /** | |
1188 | * @brief Gets the next value in the generated random number sequence. | |
1189 | */ | |
1190 | result_type | |
1191 | operator()(); | |
1192 | ||
1193 | /** | |
1194 | * @brief Compares two %independent_bits_engine random number generator | |
1195 | * objects of the same type for equality. | |
1196 | * | |
1197 | * @param __lhs A %independent_bits_engine random number generator | |
1198 | * object. | |
1199 | * @param __rhs Another %independent_bits_engine random number generator | |
1200 | * object. | |
1201 | * | |
fc05e1ba PC |
1202 | * @returns true if the infinite sequences of generated values |
1203 | * would be equal, false otherwise. | |
8e79468d BK |
1204 | */ |
1205 | friend bool | |
1206 | operator==(const independent_bits_engine& __lhs, | |
1207 | const independent_bits_engine& __rhs) | |
1208 | { return __lhs._M_b == __rhs._M_b; } | |
1209 | ||
1210 | /** | |
1211 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1212 | * random number generator engine @p __x from the input stream | |
1213 | * @p __is. | |
1214 | * | |
1215 | * @param __is An input stream. | |
1216 | * @param __x A %independent_bits_engine random number generator | |
1217 | * engine. | |
1218 | * | |
1219 | * @returns The input stream with the state of @p __x extracted or in | |
1220 | * an error state. | |
1221 | */ | |
1222 | template<typename _CharT, typename _Traits> | |
1223 | friend std::basic_istream<_CharT, _Traits>& | |
1224 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 1225 | std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1226 | __w, _UIntType>& __x) |
1227 | { | |
1228 | __is >> __x._M_b; | |
1229 | return __is; | |
1230 | } | |
1231 | ||
1232 | private: | |
1233 | _RandomNumberEngine _M_b; | |
1234 | }; | |
1235 | ||
fc05e1ba PC |
1236 | /** |
1237 | * @brief Compares two %independent_bits_engine random number generator | |
1238 | * objects of the same type for inequality. | |
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 | * | |
1245 | * @returns true if the infinite sequences of generated values | |
1246 | * would be different, false otherwise. | |
1247 | */ | |
1248 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1249 | inline bool | |
1250 | operator!=(const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1251 | _UIntType>& __lhs, | |
1252 | const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1253 | _UIntType>& __rhs) | |
1254 | { return !(__lhs == __rhs); } | |
1255 | ||
8e79468d BK |
1256 | /** |
1257 | * @brief Inserts the current state of a %independent_bits_engine random | |
1258 | * number generator engine @p __x into the output stream @p __os. | |
1259 | * | |
1260 | * @param __os An output stream. | |
1261 | * @param __x A %independent_bits_engine random number generator engine. | |
1262 | * | |
1263 | * @returns The output stream with the state of @p __x inserted or in | |
1264 | * an error state. | |
1265 | */ | |
1266 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType, | |
1267 | typename _CharT, typename _Traits> | |
1268 | std::basic_ostream<_CharT, _Traits>& | |
1269 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
94986f6d | 1270 | const std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1271 | __w, _UIntType>& __x) |
1272 | { | |
1273 | __os << __x.base(); | |
1274 | return __os; | |
1275 | } | |
1276 | ||
fc05e1ba | 1277 | |
8e79468d BK |
1278 | /** |
1279 | * @brief Produces random numbers by combining random numbers from some | |
1280 | * base engine to produce random numbers with a specifies number of bits | |
0cded43d | 1281 | * @p __k. |
8e79468d BK |
1282 | */ |
1283 | template<typename _RandomNumberEngine, size_t __k> | |
1284 | class shuffle_order_engine | |
1285 | { | |
a20c8540 | 1286 | static_assert(1u <= __k, "template argument substituting " |
f6d08b43 | 1287 | "__k out of bound"); |
8e79468d BK |
1288 | |
1289 | public: | |
1290 | /** The type of the generated random value. */ | |
1291 | typedef typename _RandomNumberEngine::result_type result_type; | |
1292 | ||
94a86be0 | 1293 | static constexpr size_t table_size = __k; |
8e79468d BK |
1294 | |
1295 | /** | |
1296 | * @brief Constructs a default %shuffle_order_engine engine. | |
1297 | * | |
1298 | * The underlying engine is default constructed as well. | |
1299 | */ | |
1300 | shuffle_order_engine() | |
1301 | : _M_b() | |
1302 | { _M_initialize(); } | |
1303 | ||
1304 | /** | |
1305 | * @brief Copy constructs a %shuffle_order_engine engine. | |
1306 | * | |
1307 | * Copies an existing base class random number generator. | |
93c66bc6 | 1308 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1309 | */ |
1310 | explicit | |
93c66bc6 BK |
1311 | shuffle_order_engine(const _RandomNumberEngine& __rng) |
1312 | : _M_b(__rng) | |
8e79468d BK |
1313 | { _M_initialize(); } |
1314 | ||
1315 | /** | |
1316 | * @brief Move constructs a %shuffle_order_engine engine. | |
1317 | * | |
1318 | * Copies an existing base class random number generator. | |
93c66bc6 | 1319 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1320 | */ |
1321 | explicit | |
93c66bc6 BK |
1322 | shuffle_order_engine(_RandomNumberEngine&& __rng) |
1323 | : _M_b(std::move(__rng)) | |
8e79468d BK |
1324 | { _M_initialize(); } |
1325 | ||
1326 | /** | |
1327 | * @brief Seed constructs a %shuffle_order_engine engine. | |
1328 | * | |
1329 | * Constructs the underlying generator engine seeded with @p __s. | |
1330 | * @param __s A seed value for the base class engine. | |
1331 | */ | |
1332 | explicit | |
1333 | shuffle_order_engine(result_type __s) | |
1334 | : _M_b(__s) | |
1335 | { _M_initialize(); } | |
1336 | ||
1337 | /** | |
1338 | * @brief Generator construct a %shuffle_order_engine engine. | |
1339 | * | |
1340 | * @param __q A seed sequence. | |
1341 | */ | |
05eeebfe PC |
1342 | template<typename _Sseq, typename = typename |
1343 | std::enable_if<!std::is_same<_Sseq, shuffle_order_engine>::value | |
1344 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
1345 | ::type> | |
15ecdcc6 PC |
1346 | explicit |
1347 | shuffle_order_engine(_Sseq& __q) | |
1348 | : _M_b(__q) | |
1349 | { _M_initialize(); } | |
8e79468d BK |
1350 | |
1351 | /** | |
94986f6d PC |
1352 | * @brief Reseeds the %shuffle_order_engine object with the default seed |
1353 | for the underlying base class generator engine. | |
8e79468d BK |
1354 | */ |
1355 | void | |
1356 | seed() | |
1357 | { | |
1358 | _M_b.seed(); | |
1359 | _M_initialize(); | |
1360 | } | |
1361 | ||
1362 | /** | |
1363 | * @brief Reseeds the %shuffle_order_engine object with the default seed | |
1364 | * for the underlying base class generator engine. | |
1365 | */ | |
1366 | void | |
1367 | seed(result_type __s) | |
1368 | { | |
1369 | _M_b.seed(__s); | |
1370 | _M_initialize(); | |
1371 | } | |
1372 | ||
1373 | /** | |
1374 | * @brief Reseeds the %shuffle_order_engine object with the given seed | |
1375 | * sequence. | |
1376 | * @param __q A seed generator function. | |
1377 | */ | |
05eeebfe | 1378 | template<typename _Sseq> |
15ecdcc6 PC |
1379 | void |
1380 | seed(_Sseq& __q) | |
1381 | { | |
05eeebfe | 1382 | _M_b.seed(__q); |
15ecdcc6 PC |
1383 | _M_initialize(); |
1384 | } | |
8e79468d BK |
1385 | |
1386 | /** | |
1387 | * Gets a const reference to the underlying generator engine object. | |
1388 | */ | |
1389 | const _RandomNumberEngine& | |
18eeaec4 | 1390 | base() const noexcept |
8e79468d BK |
1391 | { return _M_b; } |
1392 | ||
1393 | /** | |
1394 | * Gets the minimum value in the generated random number range. | |
8e79468d | 1395 | */ |
94a86be0 BK |
1396 | static constexpr result_type |
1397 | min() | |
1398 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
1399 | |
1400 | /** | |
1401 | * Gets the maximum value in the generated random number range. | |
8e79468d | 1402 | */ |
94a86be0 BK |
1403 | static constexpr result_type |
1404 | max() | |
1405 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
1406 | |
1407 | /** | |
1408 | * Discard a sequence of random numbers. | |
8e79468d BK |
1409 | */ |
1410 | void | |
1411 | discard(unsigned long long __z) | |
1412 | { | |
1413 | for (; __z != 0ULL; --__z) | |
1414 | (*this)(); | |
1415 | } | |
1416 | ||
1417 | /** | |
1418 | * Gets the next value in the generated random number sequence. | |
1419 | */ | |
1420 | result_type | |
1421 | operator()(); | |
1422 | ||
1423 | /** | |
1424 | * Compares two %shuffle_order_engine random number generator objects | |
1425 | * of the same type for equality. | |
1426 | * | |
1427 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1428 | * @param __rhs Another %shuffle_order_engine random number generator | |
1429 | * object. | |
1430 | * | |
fc05e1ba PC |
1431 | * @returns true if the infinite sequences of generated values |
1432 | * would be equal, false otherwise. | |
1433 | */ | |
8e79468d BK |
1434 | friend bool |
1435 | operator==(const shuffle_order_engine& __lhs, | |
1436 | const shuffle_order_engine& __rhs) | |
31645179 PC |
1437 | { return (__lhs._M_b == __rhs._M_b |
1438 | && std::equal(__lhs._M_v, __lhs._M_v + __k, __rhs._M_v) | |
1439 | && __lhs._M_y == __rhs._M_y); } | |
8e79468d BK |
1440 | |
1441 | /** | |
1442 | * @brief Inserts the current state of a %shuffle_order_engine random | |
1443 | * number generator engine @p __x into the output stream | |
1444 | @p __os. | |
1445 | * | |
1446 | * @param __os An output stream. | |
1447 | * @param __x A %shuffle_order_engine random number generator engine. | |
1448 | * | |
1449 | * @returns The output stream with the state of @p __x inserted or in | |
1450 | * an error state. | |
1451 | */ | |
1452 | template<typename _RandomNumberEngine1, size_t __k1, | |
1453 | typename _CharT, typename _Traits> | |
1454 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1455 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1456 | const std::shuffle_order_engine<_RandomNumberEngine1, |
93c66bc6 | 1457 | __k1>& __x); |
8e79468d BK |
1458 | |
1459 | /** | |
1460 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1461 | * random number generator engine @p __x from the input stream | |
1462 | * @p __is. | |
1463 | * | |
1464 | * @param __is An input stream. | |
1465 | * @param __x A %shuffle_order_engine random number generator engine. | |
1466 | * | |
1467 | * @returns The input stream with the state of @p __x extracted or in | |
1468 | * an error state. | |
1469 | */ | |
1470 | template<typename _RandomNumberEngine1, size_t __k1, | |
1471 | typename _CharT, typename _Traits> | |
1472 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
1473 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
1474 | std::shuffle_order_engine<_RandomNumberEngine1, __k1>& __x); | |
8e79468d BK |
1475 | |
1476 | private: | |
1477 | void _M_initialize() | |
1478 | { | |
1479 | for (size_t __i = 0; __i < __k; ++__i) | |
1480 | _M_v[__i] = _M_b(); | |
1481 | _M_y = _M_b(); | |
1482 | } | |
1483 | ||
1484 | _RandomNumberEngine _M_b; | |
1485 | result_type _M_v[__k]; | |
1486 | result_type _M_y; | |
1487 | }; | |
1488 | ||
fc05e1ba PC |
1489 | /** |
1490 | * Compares two %shuffle_order_engine random number generator objects | |
1491 | * of the same type for inequality. | |
1492 | * | |
1493 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1494 | * @param __rhs Another %shuffle_order_engine random number generator | |
1495 | * object. | |
1496 | * | |
1497 | * @returns true if the infinite sequences of generated values | |
1498 | * would be different, false otherwise. | |
1499 | */ | |
1500 | template<typename _RandomNumberEngine, size_t __k> | |
1501 | inline bool | |
1502 | operator!=(const std::shuffle_order_engine<_RandomNumberEngine, | |
1503 | __k>& __lhs, | |
1504 | const std::shuffle_order_engine<_RandomNumberEngine, | |
1505 | __k>& __rhs) | |
1506 | { return !(__lhs == __rhs); } | |
1507 | ||
1508 | ||
8e79468d BK |
1509 | /** |
1510 | * The classic Minimum Standard rand0 of Lewis, Goodman, and Miller. | |
1511 | */ | |
1512 | typedef linear_congruential_engine<uint_fast32_t, 16807UL, 0UL, 2147483647UL> | |
1513 | minstd_rand0; | |
1514 | ||
1515 | /** | |
6cc5a790 | 1516 | * An alternative LCR (Lehmer Generator function). |
8e79468d BK |
1517 | */ |
1518 | typedef linear_congruential_engine<uint_fast32_t, 48271UL, 0UL, 2147483647UL> | |
1519 | minstd_rand; | |
1520 | ||
1521 | /** | |
1522 | * The classic Mersenne Twister. | |
1523 | * | |
1524 | * Reference: | |
2a60a9f6 BK |
1525 | * M. Matsumoto and T. Nishimura, Mersenne Twister: A 623-Dimensionally |
1526 | * Equidistributed Uniform Pseudo-Random Number Generator, ACM Transactions | |
8e79468d BK |
1527 | * on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30. |
1528 | */ | |
1529 | typedef mersenne_twister_engine< | |
1530 | uint_fast32_t, | |
1531 | 32, 624, 397, 31, | |
1532 | 0x9908b0dfUL, 11, | |
1533 | 0xffffffffUL, 7, | |
1534 | 0x9d2c5680UL, 15, | |
1535 | 0xefc60000UL, 18, 1812433253UL> mt19937; | |
1536 | ||
1537 | /** | |
1538 | * An alternative Mersenne Twister. | |
1539 | */ | |
1540 | typedef mersenne_twister_engine< | |
1541 | uint_fast64_t, | |
1542 | 64, 312, 156, 31, | |
1543 | 0xb5026f5aa96619e9ULL, 29, | |
1544 | 0x5555555555555555ULL, 17, | |
1545 | 0x71d67fffeda60000ULL, 37, | |
1546 | 0xfff7eee000000000ULL, 43, | |
1547 | 6364136223846793005ULL> mt19937_64; | |
1548 | ||
8e79468d BK |
1549 | typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24> |
1550 | ranlux24_base; | |
1551 | ||
8e79468d BK |
1552 | typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12> |
1553 | ranlux48_base; | |
1554 | ||
b94f4bef PC |
1555 | typedef discard_block_engine<ranlux24_base, 223, 23> ranlux24; |
1556 | ||
8e79468d BK |
1557 | typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48; |
1558 | ||
8e79468d BK |
1559 | typedef shuffle_order_engine<minstd_rand0, 256> knuth_b; |
1560 | ||
8e79468d BK |
1561 | typedef minstd_rand0 default_random_engine; |
1562 | ||
1563 | /** | |
1564 | * A standard interface to a platform-specific non-deterministic | |
1565 | * random number generator (if any are available). | |
1566 | */ | |
1567 | class random_device | |
1568 | { | |
1569 | public: | |
1570 | /** The type of the generated random value. */ | |
1571 | typedef unsigned int result_type; | |
1572 | ||
1573 | // constructors, destructors and member functions | |
1574 | ||
1575 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
1576 | ||
1577 | explicit | |
a8c3f4c9 | 1578 | random_device(const std::string& __token = "default") |
8e79468d | 1579 | { |
a8c3f4c9 | 1580 | _M_init(__token); |
8e79468d BK |
1581 | } |
1582 | ||
1583 | ~random_device() | |
a8c3f4c9 | 1584 | { _M_fini(); } |
8e79468d BK |
1585 | |
1586 | #else | |
1587 | ||
1588 | explicit | |
1589 | random_device(const std::string& __token = "mt19937") | |
25270f5e | 1590 | { _M_init_pretr1(__token); } |
8e79468d BK |
1591 | |
1592 | public: | |
1593 | ||
1594 | #endif | |
1595 | ||
deaf34a9 PC |
1596 | static constexpr result_type |
1597 | min() | |
8e79468d BK |
1598 | { return std::numeric_limits<result_type>::min(); } |
1599 | ||
deaf34a9 PC |
1600 | static constexpr result_type |
1601 | max() | |
8e79468d BK |
1602 | { return std::numeric_limits<result_type>::max(); } |
1603 | ||
1604 | double | |
18eeaec4 | 1605 | entropy() const noexcept |
78aa76df XR |
1606 | { |
1607 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
1608 | return this->_M_getentropy(); | |
1609 | #else | |
1610 | return 0.0; | |
1611 | #endif | |
1612 | } | |
8e79468d BK |
1613 | |
1614 | result_type | |
1615 | operator()() | |
1616 | { | |
1617 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
a8c3f4c9 | 1618 | return this->_M_getval(); |
8e79468d | 1619 | #else |
a8c3f4c9 | 1620 | return this->_M_getval_pretr1(); |
8e79468d BK |
1621 | #endif |
1622 | } | |
1623 | ||
1624 | // No copy functions. | |
1625 | random_device(const random_device&) = delete; | |
1626 | void operator=(const random_device&) = delete; | |
1627 | ||
1628 | private: | |
1629 | ||
a8c3f4c9 UD |
1630 | void _M_init(const std::string& __token); |
1631 | void _M_init_pretr1(const std::string& __token); | |
1632 | void _M_fini(); | |
1633 | ||
1634 | result_type _M_getval(); | |
1635 | result_type _M_getval_pretr1(); | |
78aa76df | 1636 | double _M_getentropy() const noexcept; |
a8c3f4c9 UD |
1637 | |
1638 | union | |
1639 | { | |
821f6f1b PC |
1640 | void* _M_file; |
1641 | mt19937 _M_mt; | |
1642 | }; | |
8e79468d BK |
1643 | }; |
1644 | ||
037181bc | 1645 | /* @} */ // group random_generators |
8e79468d BK |
1646 | |
1647 | /** | |
037181bc BK |
1648 | * @addtogroup random_distributions Random Number Distributions |
1649 | * @ingroup random | |
8e79468d BK |
1650 | * @{ |
1651 | */ | |
1652 | ||
1653 | /** | |
94a86be0 | 1654 | * @addtogroup random_distributions_uniform Uniform Distributions |
037181bc | 1655 | * @ingroup random_distributions |
8e79468d BK |
1656 | * @{ |
1657 | */ | |
1658 | ||
0cded43d | 1659 | // std::uniform_int_distribution is defined in <bits/uniform_int_dist.h> |
8e79468d | 1660 | |
fc05e1ba PC |
1661 | /** |
1662 | * @brief Return true if two uniform integer distributions have | |
1663 | * different parameters. | |
1664 | */ | |
1665 | template<typename _IntType> | |
1666 | inline bool | |
1667 | operator!=(const std::uniform_int_distribution<_IntType>& __d1, | |
1668 | const std::uniform_int_distribution<_IntType>& __d2) | |
1669 | { return !(__d1 == __d2); } | |
1670 | ||
8e79468d BK |
1671 | /** |
1672 | * @brief Inserts a %uniform_int_distribution random number | |
1673 | * distribution @p __x into the output stream @p os. | |
1674 | * | |
1675 | * @param __os An output stream. | |
1676 | * @param __x A %uniform_int_distribution random number distribution. | |
1677 | * | |
1678 | * @returns The output stream with the state of @p __x inserted or in | |
1679 | * an error state. | |
1680 | */ | |
1681 | template<typename _IntType, typename _CharT, typename _Traits> | |
1682 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1683 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1684 | const std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1685 | |
1686 | /** | |
1687 | * @brief Extracts a %uniform_int_distribution random number distribution | |
1688 | * @p __x from the input stream @p __is. | |
1689 | * | |
1690 | * @param __is An input stream. | |
1691 | * @param __x A %uniform_int_distribution random number generator engine. | |
1692 | * | |
1693 | * @returns The input stream with @p __x extracted or in an error state. | |
1694 | */ | |
1695 | template<typename _IntType, typename _CharT, typename _Traits> | |
1696 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1697 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1698 | std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1699 | |
1700 | ||
1701 | /** | |
1702 | * @brief Uniform continuous distribution for random numbers. | |
1703 | * | |
1704 | * A continuous random distribution on the range [min, max) with equal | |
1705 | * probability throughout the range. The URNG should be real-valued and | |
1706 | * deliver number in the range [0, 1). | |
1707 | */ | |
1708 | template<typename _RealType = double> | |
1709 | class uniform_real_distribution | |
1710 | { | |
77e3c516 | 1711 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 1712 | "result_type must be a floating point type"); |
77e3c516 | 1713 | |
8e79468d BK |
1714 | public: |
1715 | /** The type of the range of the distribution. */ | |
1716 | typedef _RealType result_type; | |
12905f10 | 1717 | |
8e79468d BK |
1718 | /** Parameter type. */ |
1719 | struct param_type | |
1720 | { | |
1721 | typedef uniform_real_distribution<_RealType> distribution_type; | |
1722 | ||
1723 | explicit | |
1724 | param_type(_RealType __a = _RealType(0), | |
1725 | _RealType __b = _RealType(1)) | |
1726 | : _M_a(__a), _M_b(__b) | |
1727 | { | |
2f1e8e7c | 1728 | __glibcxx_assert(_M_a <= _M_b); |
8e79468d BK |
1729 | } |
1730 | ||
1731 | result_type | |
1732 | a() const | |
1733 | { return _M_a; } | |
1734 | ||
1735 | result_type | |
1736 | b() const | |
1737 | { return _M_b; } | |
1738 | ||
fc05e1ba PC |
1739 | friend bool |
1740 | operator==(const param_type& __p1, const param_type& __p2) | |
1741 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
1742 | ||
12905f10 JW |
1743 | friend bool |
1744 | operator!=(const param_type& __p1, const param_type& __p2) | |
1745 | { return !(__p1 == __p2); } | |
1746 | ||
8e79468d BK |
1747 | private: |
1748 | _RealType _M_a; | |
1749 | _RealType _M_b; | |
1750 | }; | |
1751 | ||
1752 | public: | |
1753 | /** | |
1754 | * @brief Constructs a uniform_real_distribution object. | |
1755 | * | |
93c66bc6 BK |
1756 | * @param __a [IN] The lower bound of the distribution. |
1757 | * @param __b [IN] The upper bound of the distribution. | |
8e79468d BK |
1758 | */ |
1759 | explicit | |
1760 | uniform_real_distribution(_RealType __a = _RealType(0), | |
1761 | _RealType __b = _RealType(1)) | |
1762 | : _M_param(__a, __b) | |
1763 | { } | |
1764 | ||
1765 | explicit | |
1766 | uniform_real_distribution(const param_type& __p) | |
1767 | : _M_param(__p) | |
1768 | { } | |
1769 | ||
1770 | /** | |
1771 | * @brief Resets the distribution state. | |
1772 | * | |
1773 | * Does nothing for the uniform real distribution. | |
1774 | */ | |
1775 | void | |
1776 | reset() { } | |
1777 | ||
1778 | result_type | |
1779 | a() const | |
1780 | { return _M_param.a(); } | |
1781 | ||
1782 | result_type | |
1783 | b() const | |
1784 | { return _M_param.b(); } | |
1785 | ||
247d8075 PC |
1786 | /** |
1787 | * @brief Returns the parameter set of the distribution. | |
1788 | */ | |
1789 | param_type | |
1790 | param() const | |
1791 | { return _M_param; } | |
1792 | ||
1793 | /** | |
1794 | * @brief Sets the parameter set of the distribution. | |
1795 | * @param __param The new parameter set of the distribution. | |
1796 | */ | |
1797 | void | |
1798 | param(const param_type& __param) | |
1799 | { _M_param = __param; } | |
1800 | ||
8e79468d BK |
1801 | /** |
1802 | * @brief Returns the inclusive lower bound of the distribution range. | |
1803 | */ | |
1804 | result_type | |
1805 | min() const | |
1806 | { return this->a(); } | |
1807 | ||
1808 | /** | |
1809 | * @brief Returns the inclusive upper bound of the distribution range. | |
1810 | */ | |
1811 | result_type | |
1812 | max() const | |
1813 | { return this->b(); } | |
1814 | ||
1815 | /** | |
247d8075 | 1816 | * @brief Generating functions. |
8e79468d | 1817 | */ |
8e79468d BK |
1818 | template<typename _UniformRandomNumberGenerator> |
1819 | result_type | |
1820 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 1821 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
1822 | |
1823 | template<typename _UniformRandomNumberGenerator> | |
1824 | result_type | |
1825 | operator()(_UniformRandomNumberGenerator& __urng, | |
1826 | const param_type& __p) | |
1827 | { | |
1828 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
1829 | __aurng(__urng); | |
1830 | return (__aurng() * (__p.b() - __p.a())) + __p.a(); | |
1831 | } | |
1832 | ||
7b93bdde UD |
1833 | template<typename _ForwardIterator, |
1834 | typename _UniformRandomNumberGenerator> | |
1835 | void | |
1836 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1837 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 1838 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
1839 | |
1840 | template<typename _ForwardIterator, | |
1841 | typename _UniformRandomNumberGenerator> | |
1842 | void | |
1843 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1844 | _UniformRandomNumberGenerator& __urng, | |
1845 | const param_type& __p) | |
1846 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1847 | ||
1848 | template<typename _UniformRandomNumberGenerator> | |
1849 | void | |
1850 | __generate(result_type* __f, result_type* __t, | |
1851 | _UniformRandomNumberGenerator& __urng, | |
1852 | const param_type& __p) | |
1853 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1854 | ||
5bcb3b4d PC |
1855 | /** |
1856 | * @brief Return true if two uniform real distributions have | |
1857 | * the same parameters. | |
1858 | */ | |
1859 | friend bool | |
1860 | operator==(const uniform_real_distribution& __d1, | |
1861 | const uniform_real_distribution& __d2) | |
1862 | { return __d1._M_param == __d2._M_param; } | |
1863 | ||
8e79468d | 1864 | private: |
7b93bdde UD |
1865 | template<typename _ForwardIterator, |
1866 | typename _UniformRandomNumberGenerator> | |
1867 | void | |
1868 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
1869 | _UniformRandomNumberGenerator& __urng, | |
1870 | const param_type& __p); | |
1871 | ||
8e79468d BK |
1872 | param_type _M_param; |
1873 | }; | |
1874 | ||
fc05e1ba PC |
1875 | /** |
1876 | * @brief Return true if two uniform real distributions have | |
1877 | * different parameters. | |
1878 | */ | |
1879 | template<typename _IntType> | |
1880 | inline bool | |
1881 | operator!=(const std::uniform_real_distribution<_IntType>& __d1, | |
1882 | const std::uniform_real_distribution<_IntType>& __d2) | |
1883 | { return !(__d1 == __d2); } | |
1884 | ||
8e79468d BK |
1885 | /** |
1886 | * @brief Inserts a %uniform_real_distribution random number | |
1887 | * distribution @p __x into the output stream @p __os. | |
1888 | * | |
1889 | * @param __os An output stream. | |
1890 | * @param __x A %uniform_real_distribution random number distribution. | |
1891 | * | |
1892 | * @returns The output stream with the state of @p __x inserted or in | |
1893 | * an error state. | |
1894 | */ | |
1895 | template<typename _RealType, typename _CharT, typename _Traits> | |
1896 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1897 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1898 | const std::uniform_real_distribution<_RealType>&); | |
8e79468d BK |
1899 | |
1900 | /** | |
1901 | * @brief Extracts a %uniform_real_distribution random number distribution | |
1902 | * @p __x from the input stream @p __is. | |
1903 | * | |
1904 | * @param __is An input stream. | |
1905 | * @param __x A %uniform_real_distribution random number generator engine. | |
1906 | * | |
1907 | * @returns The input stream with @p __x extracted or in an error state. | |
1908 | */ | |
1909 | template<typename _RealType, typename _CharT, typename _Traits> | |
1910 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1911 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1912 | std::uniform_real_distribution<_RealType>&); | |
8e79468d | 1913 | |
037181bc | 1914 | /* @} */ // group random_distributions_uniform |
8e79468d BK |
1915 | |
1916 | /** | |
94a86be0 | 1917 | * @addtogroup random_distributions_normal Normal Distributions |
037181bc | 1918 | * @ingroup random_distributions |
8e79468d BK |
1919 | * @{ |
1920 | */ | |
1921 | ||
1922 | /** | |
1923 | * @brief A normal continuous distribution for random numbers. | |
1924 | * | |
1925 | * The formula for the normal probability density function is | |
6cc5a790 BK |
1926 | * @f[ |
1927 | * p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}} | |
1928 | * e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } | |
1929 | * @f] | |
8e79468d BK |
1930 | */ |
1931 | template<typename _RealType = double> | |
1932 | class normal_distribution | |
1933 | { | |
77e3c516 | 1934 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 1935 | "result_type must be a floating point type"); |
77e3c516 | 1936 | |
8e79468d BK |
1937 | public: |
1938 | /** The type of the range of the distribution. */ | |
1939 | typedef _RealType result_type; | |
12905f10 | 1940 | |
8e79468d BK |
1941 | /** Parameter type. */ |
1942 | struct param_type | |
1943 | { | |
1944 | typedef normal_distribution<_RealType> distribution_type; | |
1945 | ||
1946 | explicit | |
1947 | param_type(_RealType __mean = _RealType(0), | |
1948 | _RealType __stddev = _RealType(1)) | |
1949 | : _M_mean(__mean), _M_stddev(__stddev) | |
1950 | { | |
2f1e8e7c | 1951 | __glibcxx_assert(_M_stddev > _RealType(0)); |
8e79468d BK |
1952 | } |
1953 | ||
1954 | _RealType | |
1955 | mean() const | |
1956 | { return _M_mean; } | |
1957 | ||
1958 | _RealType | |
1959 | stddev() const | |
1960 | { return _M_stddev; } | |
1961 | ||
fc05e1ba PC |
1962 | friend bool |
1963 | operator==(const param_type& __p1, const param_type& __p2) | |
1964 | { return (__p1._M_mean == __p2._M_mean | |
1965 | && __p1._M_stddev == __p2._M_stddev); } | |
1966 | ||
12905f10 JW |
1967 | friend bool |
1968 | operator!=(const param_type& __p1, const param_type& __p2) | |
1969 | { return !(__p1 == __p2); } | |
1970 | ||
8e79468d BK |
1971 | private: |
1972 | _RealType _M_mean; | |
1973 | _RealType _M_stddev; | |
1974 | }; | |
1975 | ||
1976 | public: | |
1977 | /** | |
6cc5a790 | 1978 | * Constructs a normal distribution with parameters @f$mean@f$ and |
8e79468d BK |
1979 | * standard deviation. |
1980 | */ | |
1981 | explicit | |
1982 | normal_distribution(result_type __mean = result_type(0), | |
1983 | result_type __stddev = result_type(1)) | |
1984 | : _M_param(__mean, __stddev), _M_saved_available(false) | |
1985 | { } | |
1986 | ||
1987 | explicit | |
1988 | normal_distribution(const param_type& __p) | |
1989 | : _M_param(__p), _M_saved_available(false) | |
1990 | { } | |
1991 | ||
1992 | /** | |
1993 | * @brief Resets the distribution state. | |
1994 | */ | |
1995 | void | |
1996 | reset() | |
1997 | { _M_saved_available = false; } | |
1998 | ||
1999 | /** | |
2000 | * @brief Returns the mean of the distribution. | |
2001 | */ | |
2002 | _RealType | |
2003 | mean() const | |
2004 | { return _M_param.mean(); } | |
2005 | ||
2006 | /** | |
2007 | * @brief Returns the standard deviation of the distribution. | |
2008 | */ | |
2009 | _RealType | |
2010 | stddev() const | |
2011 | { return _M_param.stddev(); } | |
2012 | ||
2013 | /** | |
2014 | * @brief Returns the parameter set of the distribution. | |
2015 | */ | |
2016 | param_type | |
2017 | param() const | |
2018 | { return _M_param; } | |
2019 | ||
2020 | /** | |
2021 | * @brief Sets the parameter set of the distribution. | |
2022 | * @param __param The new parameter set of the distribution. | |
2023 | */ | |
2024 | void | |
2025 | param(const param_type& __param) | |
2026 | { _M_param = __param; } | |
2027 | ||
2028 | /** | |
2029 | * @brief Returns the greatest lower bound value of the distribution. | |
2030 | */ | |
2031 | result_type | |
2032 | min() const | |
a803975d | 2033 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
2034 | |
2035 | /** | |
2036 | * @brief Returns the least upper bound value of the distribution. | |
2037 | */ | |
2038 | result_type | |
2039 | max() const | |
2040 | { return std::numeric_limits<result_type>::max(); } | |
2041 | ||
247d8075 PC |
2042 | /** |
2043 | * @brief Generating functions. | |
2044 | */ | |
8e79468d BK |
2045 | template<typename _UniformRandomNumberGenerator> |
2046 | result_type | |
2047 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2048 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2049 | |
2050 | template<typename _UniformRandomNumberGenerator> | |
2051 | result_type | |
2052 | operator()(_UniformRandomNumberGenerator& __urng, | |
2053 | const param_type& __p); | |
2054 | ||
7b93bdde UD |
2055 | template<typename _ForwardIterator, |
2056 | typename _UniformRandomNumberGenerator> | |
2057 | void | |
2058 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2059 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2060 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2061 | |
2062 | template<typename _ForwardIterator, | |
2063 | typename _UniformRandomNumberGenerator> | |
2064 | void | |
2065 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2066 | _UniformRandomNumberGenerator& __urng, | |
2067 | const param_type& __p) | |
2068 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2069 | ||
2070 | template<typename _UniformRandomNumberGenerator> | |
2071 | void | |
2072 | __generate(result_type* __f, result_type* __t, | |
2073 | _UniformRandomNumberGenerator& __urng, | |
2074 | const param_type& __p) | |
2075 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2076 | ||
fc05e1ba PC |
2077 | /** |
2078 | * @brief Return true if two normal distributions have | |
2079 | * the same parameters and the sequences that would | |
2080 | * be generated are equal. | |
2081 | */ | |
2082 | template<typename _RealType1> | |
2083 | friend bool | |
2084 | operator==(const std::normal_distribution<_RealType1>& __d1, | |
2085 | const std::normal_distribution<_RealType1>& __d2); | |
2086 | ||
8e79468d BK |
2087 | /** |
2088 | * @brief Inserts a %normal_distribution random number distribution | |
2089 | * @p __x into the output stream @p __os. | |
2090 | * | |
2091 | * @param __os An output stream. | |
2092 | * @param __x A %normal_distribution random number distribution. | |
2093 | * | |
2094 | * @returns The output stream with the state of @p __x inserted or in | |
2095 | * an error state. | |
2096 | */ | |
2097 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2098 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2099 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2100 | const std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2101 | |
2102 | /** | |
2103 | * @brief Extracts a %normal_distribution random number distribution | |
2104 | * @p __x from the input stream @p __is. | |
2105 | * | |
2106 | * @param __is An input stream. | |
2107 | * @param __x A %normal_distribution random number generator engine. | |
2108 | * | |
2109 | * @returns The input stream with @p __x extracted or in an error | |
2110 | * state. | |
2111 | */ | |
2112 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2113 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2114 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2115 | std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2116 | |
2117 | private: | |
7b93bdde UD |
2118 | template<typename _ForwardIterator, |
2119 | typename _UniformRandomNumberGenerator> | |
2120 | void | |
2121 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2122 | _UniformRandomNumberGenerator& __urng, | |
2123 | const param_type& __p); | |
2124 | ||
8e79468d BK |
2125 | param_type _M_param; |
2126 | result_type _M_saved; | |
2127 | bool _M_saved_available; | |
2128 | }; | |
2129 | ||
fc05e1ba PC |
2130 | /** |
2131 | * @brief Return true if two normal distributions are different. | |
2132 | */ | |
2133 | template<typename _RealType> | |
2134 | inline bool | |
2135 | operator!=(const std::normal_distribution<_RealType>& __d1, | |
2136 | const std::normal_distribution<_RealType>& __d2) | |
2137 | { return !(__d1 == __d2); } | |
2138 | ||
8e79468d BK |
2139 | |
2140 | /** | |
2141 | * @brief A lognormal_distribution random number distribution. | |
2142 | * | |
2143 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
2144 | * @f[ |
2145 | * p(x|m,s) = \frac{1}{sx\sqrt{2\pi}} | |
2146 | * \exp{-\frac{(\ln{x} - m)^2}{2s^2}} | |
2147 | * @f] | |
8e79468d BK |
2148 | */ |
2149 | template<typename _RealType = double> | |
2150 | class lognormal_distribution | |
2151 | { | |
77e3c516 | 2152 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2153 | "result_type must be a floating point type"); |
77e3c516 | 2154 | |
8e79468d BK |
2155 | public: |
2156 | /** The type of the range of the distribution. */ | |
2157 | typedef _RealType result_type; | |
12905f10 | 2158 | |
8e79468d BK |
2159 | /** Parameter type. */ |
2160 | struct param_type | |
2161 | { | |
2162 | typedef lognormal_distribution<_RealType> distribution_type; | |
2163 | ||
2164 | explicit | |
2165 | param_type(_RealType __m = _RealType(0), | |
2166 | _RealType __s = _RealType(1)) | |
2167 | : _M_m(__m), _M_s(__s) | |
2168 | { } | |
2169 | ||
2170 | _RealType | |
2171 | m() const | |
2172 | { return _M_m; } | |
2173 | ||
2174 | _RealType | |
2175 | s() const | |
2176 | { return _M_s; } | |
2177 | ||
fc05e1ba PC |
2178 | friend bool |
2179 | operator==(const param_type& __p1, const param_type& __p2) | |
2180 | { return __p1._M_m == __p2._M_m && __p1._M_s == __p2._M_s; } | |
2181 | ||
12905f10 JW |
2182 | friend bool |
2183 | operator!=(const param_type& __p1, const param_type& __p2) | |
2184 | { return !(__p1 == __p2); } | |
2185 | ||
8e79468d BK |
2186 | private: |
2187 | _RealType _M_m; | |
2188 | _RealType _M_s; | |
2189 | }; | |
2190 | ||
2191 | explicit | |
2192 | lognormal_distribution(_RealType __m = _RealType(0), | |
2193 | _RealType __s = _RealType(1)) | |
b01630bb | 2194 | : _M_param(__m, __s), _M_nd() |
8e79468d BK |
2195 | { } |
2196 | ||
2197 | explicit | |
2198 | lognormal_distribution(const param_type& __p) | |
b01630bb | 2199 | : _M_param(__p), _M_nd() |
8e79468d BK |
2200 | { } |
2201 | ||
2202 | /** | |
2203 | * Resets the distribution state. | |
2204 | */ | |
2205 | void | |
2206 | reset() | |
b01630bb | 2207 | { _M_nd.reset(); } |
8e79468d BK |
2208 | |
2209 | /** | |
2210 | * | |
2211 | */ | |
2212 | _RealType | |
2213 | m() const | |
2214 | { return _M_param.m(); } | |
2215 | ||
2216 | _RealType | |
2217 | s() const | |
2218 | { return _M_param.s(); } | |
2219 | ||
2220 | /** | |
2221 | * @brief Returns the parameter set of the distribution. | |
2222 | */ | |
2223 | param_type | |
2224 | param() const | |
2225 | { return _M_param; } | |
2226 | ||
2227 | /** | |
2228 | * @brief Sets the parameter set of the distribution. | |
2229 | * @param __param The new parameter set of the distribution. | |
2230 | */ | |
2231 | void | |
2232 | param(const param_type& __param) | |
2233 | { _M_param = __param; } | |
2234 | ||
2235 | /** | |
2236 | * @brief Returns the greatest lower bound value of the distribution. | |
2237 | */ | |
2238 | result_type | |
2239 | min() const | |
2240 | { return result_type(0); } | |
2241 | ||
2242 | /** | |
2243 | * @brief Returns the least upper bound value of the distribution. | |
2244 | */ | |
2245 | result_type | |
2246 | max() const | |
2247 | { return std::numeric_limits<result_type>::max(); } | |
2248 | ||
247d8075 PC |
2249 | /** |
2250 | * @brief Generating functions. | |
2251 | */ | |
8e79468d BK |
2252 | template<typename _UniformRandomNumberGenerator> |
2253 | result_type | |
2254 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2255 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2256 | |
2257 | template<typename _UniformRandomNumberGenerator> | |
2258 | result_type | |
2259 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb PC |
2260 | const param_type& __p) |
2261 | { return std::exp(__p.s() * _M_nd(__urng) + __p.m()); } | |
8e79468d | 2262 | |
7b93bdde UD |
2263 | template<typename _ForwardIterator, |
2264 | typename _UniformRandomNumberGenerator> | |
2265 | void | |
2266 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2267 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2268 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2269 | |
2270 | template<typename _ForwardIterator, | |
2271 | typename _UniformRandomNumberGenerator> | |
2272 | void | |
2273 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2274 | _UniformRandomNumberGenerator& __urng, | |
2275 | const param_type& __p) | |
2276 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2277 | ||
2278 | template<typename _UniformRandomNumberGenerator> | |
2279 | void | |
2280 | __generate(result_type* __f, result_type* __t, | |
2281 | _UniformRandomNumberGenerator& __urng, | |
2282 | const param_type& __p) | |
2283 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2284 | ||
fc05e1ba PC |
2285 | /** |
2286 | * @brief Return true if two lognormal distributions have | |
2287 | * the same parameters and the sequences that would | |
2288 | * be generated are equal. | |
2289 | */ | |
a30e18c1 MG |
2290 | friend bool |
2291 | operator==(const lognormal_distribution& __d1, | |
2292 | const lognormal_distribution& __d2) | |
5bcb3b4d | 2293 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 2294 | && __d1._M_nd == __d2._M_nd); } |
fc05e1ba | 2295 | |
e1923769 ESR |
2296 | /** |
2297 | * @brief Inserts a %lognormal_distribution random number distribution | |
2298 | * @p __x into the output stream @p __os. | |
2299 | * | |
2300 | * @param __os An output stream. | |
2301 | * @param __x A %lognormal_distribution random number distribution. | |
2302 | * | |
2303 | * @returns The output stream with the state of @p __x inserted or in | |
2304 | * an error state. | |
2305 | */ | |
2306 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2307 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2308 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2309 | const std::lognormal_distribution<_RealType1>& __x); | |
e1923769 ESR |
2310 | |
2311 | /** | |
2312 | * @brief Extracts a %lognormal_distribution random number distribution | |
2313 | * @p __x from the input stream @p __is. | |
2314 | * | |
2315 | * @param __is An input stream. | |
2316 | * @param __x A %lognormal_distribution random number | |
2317 | * generator engine. | |
2318 | * | |
2319 | * @returns The input stream with @p __x extracted or in an error state. | |
2320 | */ | |
2321 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2322 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2323 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2324 | std::lognormal_distribution<_RealType1>& __x); | |
e1923769 | 2325 | |
8e79468d | 2326 | private: |
7b93bdde UD |
2327 | template<typename _ForwardIterator, |
2328 | typename _UniformRandomNumberGenerator> | |
2329 | void | |
2330 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2331 | _UniformRandomNumberGenerator& __urng, | |
2332 | const param_type& __p); | |
2333 | ||
8e79468d | 2334 | param_type _M_param; |
b01630bb | 2335 | |
f9b09dec | 2336 | std::normal_distribution<result_type> _M_nd; |
8e79468d BK |
2337 | }; |
2338 | ||
fc05e1ba PC |
2339 | /** |
2340 | * @brief Return true if two lognormal distributions are different. | |
2341 | */ | |
2342 | template<typename _RealType> | |
2343 | inline bool | |
2344 | operator!=(const std::lognormal_distribution<_RealType>& __d1, | |
2345 | const std::lognormal_distribution<_RealType>& __d2) | |
2346 | { return !(__d1 == __d2); } | |
2347 | ||
2348 | ||
f9b09dec PC |
2349 | /** |
2350 | * @brief A gamma continuous distribution for random numbers. | |
2351 | * | |
6cc5a790 BK |
2352 | * The formula for the gamma probability density function is: |
2353 | * @f[ | |
2354 | * p(x|\alpha,\beta) = \frac{1}{\beta\Gamma(\alpha)} | |
2355 | * (x/\beta)^{\alpha - 1} e^{-x/\beta} | |
2356 | * @f] | |
f9b09dec PC |
2357 | */ |
2358 | template<typename _RealType = double> | |
2359 | class gamma_distribution | |
2360 | { | |
77e3c516 | 2361 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2362 | "result_type must be a floating point type"); |
77e3c516 | 2363 | |
f9b09dec PC |
2364 | public: |
2365 | /** The type of the range of the distribution. */ | |
2366 | typedef _RealType result_type; | |
12905f10 | 2367 | |
f9b09dec PC |
2368 | /** Parameter type. */ |
2369 | struct param_type | |
2370 | { | |
2371 | typedef gamma_distribution<_RealType> distribution_type; | |
2372 | friend class gamma_distribution<_RealType>; | |
2373 | ||
2374 | explicit | |
2375 | param_type(_RealType __alpha_val = _RealType(1), | |
2376 | _RealType __beta_val = _RealType(1)) | |
2377 | : _M_alpha(__alpha_val), _M_beta(__beta_val) | |
2378 | { | |
2f1e8e7c | 2379 | __glibcxx_assert(_M_alpha > _RealType(0)); |
f9b09dec PC |
2380 | _M_initialize(); |
2381 | } | |
2382 | ||
2383 | _RealType | |
2384 | alpha() const | |
2385 | { return _M_alpha; } | |
2386 | ||
2387 | _RealType | |
2388 | beta() const | |
2389 | { return _M_beta; } | |
2390 | ||
fc05e1ba PC |
2391 | friend bool |
2392 | operator==(const param_type& __p1, const param_type& __p2) | |
2393 | { return (__p1._M_alpha == __p2._M_alpha | |
2394 | && __p1._M_beta == __p2._M_beta); } | |
2395 | ||
12905f10 JW |
2396 | friend bool |
2397 | operator!=(const param_type& __p1, const param_type& __p2) | |
2398 | { return !(__p1 == __p2); } | |
2399 | ||
f9b09dec PC |
2400 | private: |
2401 | void | |
2402 | _M_initialize(); | |
2403 | ||
2404 | _RealType _M_alpha; | |
2405 | _RealType _M_beta; | |
2406 | ||
2407 | _RealType _M_malpha, _M_a2; | |
2408 | }; | |
2409 | ||
2410 | public: | |
2411 | /** | |
2412 | * @brief Constructs a gamma distribution with parameters | |
6cc5a790 | 2413 | * @f$\alpha@f$ and @f$\beta@f$. |
f9b09dec PC |
2414 | */ |
2415 | explicit | |
2416 | gamma_distribution(_RealType __alpha_val = _RealType(1), | |
2417 | _RealType __beta_val = _RealType(1)) | |
2418 | : _M_param(__alpha_val, __beta_val), _M_nd() | |
2419 | { } | |
2420 | ||
2421 | explicit | |
2422 | gamma_distribution(const param_type& __p) | |
2423 | : _M_param(__p), _M_nd() | |
2424 | { } | |
2425 | ||
2426 | /** | |
2427 | * @brief Resets the distribution state. | |
2428 | */ | |
2429 | void | |
2430 | reset() | |
2431 | { _M_nd.reset(); } | |
2432 | ||
2433 | /** | |
6cc5a790 | 2434 | * @brief Returns the @f$\alpha@f$ of the distribution. |
f9b09dec PC |
2435 | */ |
2436 | _RealType | |
2437 | alpha() const | |
2438 | { return _M_param.alpha(); } | |
2439 | ||
2440 | /** | |
6cc5a790 | 2441 | * @brief Returns the @f$\beta@f$ of the distribution. |
f9b09dec PC |
2442 | */ |
2443 | _RealType | |
2444 | beta() const | |
2445 | { return _M_param.beta(); } | |
2446 | ||
2447 | /** | |
2448 | * @brief Returns the parameter set of the distribution. | |
2449 | */ | |
2450 | param_type | |
2451 | param() const | |
2452 | { return _M_param; } | |
2453 | ||
2454 | /** | |
2455 | * @brief Sets the parameter set of the distribution. | |
2456 | * @param __param The new parameter set of the distribution. | |
2457 | */ | |
2458 | void | |
2459 | param(const param_type& __param) | |
2460 | { _M_param = __param; } | |
2461 | ||
2462 | /** | |
2463 | * @brief Returns the greatest lower bound value of the distribution. | |
2464 | */ | |
2465 | result_type | |
2466 | min() const | |
2467 | { return result_type(0); } | |
2468 | ||
2469 | /** | |
2470 | * @brief Returns the least upper bound value of the distribution. | |
2471 | */ | |
2472 | result_type | |
2473 | max() const | |
2474 | { return std::numeric_limits<result_type>::max(); } | |
2475 | ||
247d8075 PC |
2476 | /** |
2477 | * @brief Generating functions. | |
2478 | */ | |
f9b09dec PC |
2479 | template<typename _UniformRandomNumberGenerator> |
2480 | result_type | |
2481 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2482 | { return this->operator()(__urng, _M_param); } |
f9b09dec PC |
2483 | |
2484 | template<typename _UniformRandomNumberGenerator> | |
2485 | result_type | |
2486 | operator()(_UniformRandomNumberGenerator& __urng, | |
2487 | const param_type& __p); | |
2488 | ||
7b93bdde UD |
2489 | template<typename _ForwardIterator, |
2490 | typename _UniformRandomNumberGenerator> | |
2491 | void | |
2492 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2493 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2494 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2495 | |
2496 | template<typename _ForwardIterator, | |
2497 | typename _UniformRandomNumberGenerator> | |
2498 | void | |
2499 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2500 | _UniformRandomNumberGenerator& __urng, | |
2501 | const param_type& __p) | |
2502 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2503 | ||
2504 | template<typename _UniformRandomNumberGenerator> | |
2505 | void | |
2506 | __generate(result_type* __f, result_type* __t, | |
2507 | _UniformRandomNumberGenerator& __urng, | |
2508 | const param_type& __p) | |
2509 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2510 | ||
fc05e1ba PC |
2511 | /** |
2512 | * @brief Return true if two gamma distributions have the same | |
2513 | * parameters and the sequences that would be generated | |
2514 | * are equal. | |
2515 | */ | |
a30e18c1 MG |
2516 | friend bool |
2517 | operator==(const gamma_distribution& __d1, | |
2518 | const gamma_distribution& __d2) | |
5bcb3b4d | 2519 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 2520 | && __d1._M_nd == __d2._M_nd); } |
fc05e1ba | 2521 | |
e1923769 ESR |
2522 | /** |
2523 | * @brief Inserts a %gamma_distribution random number distribution | |
2524 | * @p __x into the output stream @p __os. | |
2525 | * | |
2526 | * @param __os An output stream. | |
2527 | * @param __x A %gamma_distribution random number distribution. | |
2528 | * | |
2529 | * @returns The output stream with the state of @p __x inserted or in | |
2530 | * an error state. | |
2531 | */ | |
2532 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2533 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2534 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2535 | const std::gamma_distribution<_RealType1>& __x); | |
e1923769 ESR |
2536 | |
2537 | /** | |
2538 | * @brief Extracts a %gamma_distribution random number distribution | |
2539 | * @p __x from the input stream @p __is. | |
2540 | * | |
2541 | * @param __is An input stream. | |
2542 | * @param __x A %gamma_distribution random number generator engine. | |
2543 | * | |
2544 | * @returns The input stream with @p __x extracted or in an error state. | |
2545 | */ | |
2546 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2547 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2548 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2549 | std::gamma_distribution<_RealType1>& __x); | |
e1923769 | 2550 | |
f9b09dec | 2551 | private: |
7b93bdde UD |
2552 | template<typename _ForwardIterator, |
2553 | typename _UniformRandomNumberGenerator> | |
2554 | void | |
2555 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2556 | _UniformRandomNumberGenerator& __urng, | |
2557 | const param_type& __p); | |
2558 | ||
f9b09dec PC |
2559 | param_type _M_param; |
2560 | ||
2561 | std::normal_distribution<result_type> _M_nd; | |
2562 | }; | |
2563 | ||
fc05e1ba PC |
2564 | /** |
2565 | * @brief Return true if two gamma distributions are different. | |
2566 | */ | |
2567 | template<typename _RealType> | |
a30e18c1 | 2568 | inline bool |
fc05e1ba PC |
2569 | operator!=(const std::gamma_distribution<_RealType>& __d1, |
2570 | const std::gamma_distribution<_RealType>& __d2) | |
2571 | { return !(__d1 == __d2); } | |
2572 | ||
8e79468d BK |
2573 | |
2574 | /** | |
2575 | * @brief A chi_squared_distribution random number distribution. | |
2576 | * | |
2577 | * The formula for the normal probability mass function is | |
6cc5a790 | 2578 | * @f$p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}}@f$ |
8e79468d BK |
2579 | */ |
2580 | template<typename _RealType = double> | |
2581 | class chi_squared_distribution | |
2582 | { | |
77e3c516 | 2583 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2584 | "result_type must be a floating point type"); |
77e3c516 | 2585 | |
8e79468d BK |
2586 | public: |
2587 | /** The type of the range of the distribution. */ | |
2588 | typedef _RealType result_type; | |
12905f10 | 2589 | |
8e79468d BK |
2590 | /** Parameter type. */ |
2591 | struct param_type | |
2592 | { | |
2593 | typedef chi_squared_distribution<_RealType> distribution_type; | |
2594 | ||
2595 | explicit | |
2596 | param_type(_RealType __n = _RealType(1)) | |
2597 | : _M_n(__n) | |
2598 | { } | |
2599 | ||
2600 | _RealType | |
2601 | n() const | |
2602 | { return _M_n; } | |
2603 | ||
fc05e1ba PC |
2604 | friend bool |
2605 | operator==(const param_type& __p1, const param_type& __p2) | |
2606 | { return __p1._M_n == __p2._M_n; } | |
2607 | ||
12905f10 JW |
2608 | friend bool |
2609 | operator!=(const param_type& __p1, const param_type& __p2) | |
2610 | { return !(__p1 == __p2); } | |
2611 | ||
8e79468d BK |
2612 | private: |
2613 | _RealType _M_n; | |
2614 | }; | |
2615 | ||
2616 | explicit | |
2617 | chi_squared_distribution(_RealType __n = _RealType(1)) | |
f9b09dec | 2618 | : _M_param(__n), _M_gd(__n / 2) |
8e79468d BK |
2619 | { } |
2620 | ||
2621 | explicit | |
2622 | chi_squared_distribution(const param_type& __p) | |
f9b09dec | 2623 | : _M_param(__p), _M_gd(__p.n() / 2) |
8e79468d BK |
2624 | { } |
2625 | ||
2626 | /** | |
2627 | * @brief Resets the distribution state. | |
2628 | */ | |
2629 | void | |
2630 | reset() | |
f9b09dec | 2631 | { _M_gd.reset(); } |
8e79468d BK |
2632 | |
2633 | /** | |
2634 | * | |
2635 | */ | |
2636 | _RealType | |
2637 | n() const | |
2638 | { return _M_param.n(); } | |
2639 | ||
2640 | /** | |
2641 | * @brief Returns the parameter set of the distribution. | |
2642 | */ | |
2643 | param_type | |
2644 | param() const | |
2645 | { return _M_param; } | |
2646 | ||
2647 | /** | |
2648 | * @brief Sets the parameter set of the distribution. | |
2649 | * @param __param The new parameter set of the distribution. | |
2650 | */ | |
2651 | void | |
2652 | param(const param_type& __param) | |
2653 | { _M_param = __param; } | |
2654 | ||
2655 | /** | |
2656 | * @brief Returns the greatest lower bound value of the distribution. | |
2657 | */ | |
2658 | result_type | |
2659 | min() const | |
2660 | { return result_type(0); } | |
2661 | ||
2662 | /** | |
2663 | * @brief Returns the least upper bound value of the distribution. | |
2664 | */ | |
2665 | result_type | |
2666 | max() const | |
2667 | { return std::numeric_limits<result_type>::max(); } | |
2668 | ||
247d8075 PC |
2669 | /** |
2670 | * @brief Generating functions. | |
2671 | */ | |
8e79468d BK |
2672 | template<typename _UniformRandomNumberGenerator> |
2673 | result_type | |
2674 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 2675 | { return 2 * _M_gd(__urng); } |
8e79468d BK |
2676 | |
2677 | template<typename _UniformRandomNumberGenerator> | |
2678 | result_type | |
2679 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
2680 | const param_type& __p) |
2681 | { | |
2682 | typedef typename std::gamma_distribution<result_type>::param_type | |
2683 | param_type; | |
2684 | return 2 * _M_gd(__urng, param_type(__p.n() / 2)); | |
2685 | } | |
8e79468d | 2686 | |
7b93bdde UD |
2687 | template<typename _ForwardIterator, |
2688 | typename _UniformRandomNumberGenerator> | |
2689 | void | |
2690 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2691 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2692 | { this->__generate_impl(__f, __t, __urng); } |
7b93bdde UD |
2693 | |
2694 | template<typename _ForwardIterator, | |
2695 | typename _UniformRandomNumberGenerator> | |
2696 | void | |
2697 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2698 | _UniformRandomNumberGenerator& __urng, | |
2699 | const param_type& __p) | |
2700 | { typename std::gamma_distribution<result_type>::param_type | |
2701 | __p2(__p.n() / 2); | |
2702 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2703 | ||
2704 | template<typename _UniformRandomNumberGenerator> | |
2705 | void | |
2706 | __generate(result_type* __f, result_type* __t, | |
2707 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2708 | { this->__generate_impl(__f, __t, __urng); } |
7b93bdde UD |
2709 | |
2710 | template<typename _UniformRandomNumberGenerator> | |
2711 | void | |
2712 | __generate(result_type* __f, result_type* __t, | |
2713 | _UniformRandomNumberGenerator& __urng, | |
2714 | const param_type& __p) | |
2715 | { typename std::gamma_distribution<result_type>::param_type | |
2716 | __p2(__p.n() / 2); | |
2717 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2718 | ||
fc05e1ba PC |
2719 | /** |
2720 | * @brief Return true if two Chi-squared distributions have | |
2721 | * the same parameters and the sequences that would be | |
2722 | * generated are equal. | |
2723 | */ | |
a30e18c1 MG |
2724 | friend bool |
2725 | operator==(const chi_squared_distribution& __d1, | |
2726 | const chi_squared_distribution& __d2) | |
5bcb3b4d | 2727 | { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; } |
fc05e1ba | 2728 | |
e1923769 ESR |
2729 | /** |
2730 | * @brief Inserts a %chi_squared_distribution random number distribution | |
2731 | * @p __x into the output stream @p __os. | |
2732 | * | |
2733 | * @param __os An output stream. | |
2734 | * @param __x A %chi_squared_distribution random number distribution. | |
2735 | * | |
2736 | * @returns The output stream with the state of @p __x inserted or in | |
2737 | * an error state. | |
2738 | */ | |
2739 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2740 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2741 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2742 | const std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 ESR |
2743 | |
2744 | /** | |
2745 | * @brief Extracts a %chi_squared_distribution random number distribution | |
2746 | * @p __x from the input stream @p __is. | |
2747 | * | |
2748 | * @param __is An input stream. | |
2749 | * @param __x A %chi_squared_distribution random number | |
2750 | * generator engine. | |
2751 | * | |
2752 | * @returns The input stream with @p __x extracted or in an error state. | |
2753 | */ | |
2754 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2755 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2756 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2757 | std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 | 2758 | |
8e79468d | 2759 | private: |
5bcb3b4d PC |
2760 | template<typename _ForwardIterator, |
2761 | typename _UniformRandomNumberGenerator> | |
2762 | void | |
2763 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2764 | _UniformRandomNumberGenerator& __urng); | |
2765 | ||
7b93bdde UD |
2766 | template<typename _ForwardIterator, |
2767 | typename _UniformRandomNumberGenerator> | |
2768 | void | |
2769 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2770 | _UniformRandomNumberGenerator& __urng, | |
5bcb3b4d PC |
2771 | const typename |
2772 | std::gamma_distribution<result_type>::param_type& __p); | |
7b93bdde | 2773 | |
8e79468d | 2774 | param_type _M_param; |
f9b09dec PC |
2775 | |
2776 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
2777 | }; |
2778 | ||
fc05e1ba PC |
2779 | /** |
2780 | * @brief Return true if two Chi-squared distributions are different. | |
2781 | */ | |
2782 | template<typename _RealType> | |
2783 | inline bool | |
2784 | operator!=(const std::chi_squared_distribution<_RealType>& __d1, | |
2785 | const std::chi_squared_distribution<_RealType>& __d2) | |
2786 | { return !(__d1 == __d2); } | |
2787 | ||
8e79468d BK |
2788 | |
2789 | /** | |
2790 | * @brief A cauchy_distribution random number distribution. | |
2791 | * | |
2792 | * The formula for the normal probability mass function is | |
6cc5a790 | 2793 | * @f$p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1}@f$ |
8e79468d BK |
2794 | */ |
2795 | template<typename _RealType = double> | |
2796 | class cauchy_distribution | |
2797 | { | |
77e3c516 | 2798 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 2799 | "result_type must be a floating point type"); |
77e3c516 | 2800 | |
8e79468d BK |
2801 | public: |
2802 | /** The type of the range of the distribution. */ | |
2803 | typedef _RealType result_type; | |
12905f10 | 2804 | |
8e79468d BK |
2805 | /** Parameter type. */ |
2806 | struct param_type | |
2807 | { | |
2808 | typedef cauchy_distribution<_RealType> distribution_type; | |
2809 | ||
2810 | explicit | |
2811 | param_type(_RealType __a = _RealType(0), | |
2812 | _RealType __b = _RealType(1)) | |
2813 | : _M_a(__a), _M_b(__b) | |
2814 | { } | |
2815 | ||
2816 | _RealType | |
2817 | a() const | |
2818 | { return _M_a; } | |
2819 | ||
2820 | _RealType | |
2821 | b() const | |
2822 | { return _M_b; } | |
2823 | ||
fc05e1ba PC |
2824 | friend bool |
2825 | operator==(const param_type& __p1, const param_type& __p2) | |
2826 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
2827 | ||
12905f10 JW |
2828 | friend bool |
2829 | operator!=(const param_type& __p1, const param_type& __p2) | |
2830 | { return !(__p1 == __p2); } | |
2831 | ||
8e79468d BK |
2832 | private: |
2833 | _RealType _M_a; | |
2834 | _RealType _M_b; | |
2835 | }; | |
2836 | ||
2837 | explicit | |
2838 | cauchy_distribution(_RealType __a = _RealType(0), | |
2839 | _RealType __b = _RealType(1)) | |
2840 | : _M_param(__a, __b) | |
2841 | { } | |
2842 | ||
2843 | explicit | |
2844 | cauchy_distribution(const param_type& __p) | |
2845 | : _M_param(__p) | |
2846 | { } | |
2847 | ||
2848 | /** | |
2849 | * @brief Resets the distribution state. | |
2850 | */ | |
2851 | void | |
2852 | reset() | |
2853 | { } | |
2854 | ||
2855 | /** | |
2856 | * | |
2857 | */ | |
2858 | _RealType | |
2859 | a() const | |
2860 | { return _M_param.a(); } | |
2861 | ||
2862 | _RealType | |
2863 | b() const | |
2864 | { return _M_param.b(); } | |
2865 | ||
2866 | /** | |
2867 | * @brief Returns the parameter set of the distribution. | |
2868 | */ | |
2869 | param_type | |
2870 | param() const | |
2871 | { return _M_param; } | |
2872 | ||
2873 | /** | |
2874 | * @brief Sets the parameter set of the distribution. | |
2875 | * @param __param The new parameter set of the distribution. | |
2876 | */ | |
2877 | void | |
2878 | param(const param_type& __param) | |
2879 | { _M_param = __param; } | |
2880 | ||
2881 | /** | |
2882 | * @brief Returns the greatest lower bound value of the distribution. | |
2883 | */ | |
2884 | result_type | |
2885 | min() const | |
a803975d | 2886 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
2887 | |
2888 | /** | |
2889 | * @brief Returns the least upper bound value of the distribution. | |
2890 | */ | |
2891 | result_type | |
2892 | max() const | |
2893 | { return std::numeric_limits<result_type>::max(); } | |
2894 | ||
247d8075 PC |
2895 | /** |
2896 | * @brief Generating functions. | |
2897 | */ | |
8e79468d BK |
2898 | template<typename _UniformRandomNumberGenerator> |
2899 | result_type | |
2900 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2901 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
2902 | |
2903 | template<typename _UniformRandomNumberGenerator> | |
2904 | result_type | |
2905 | operator()(_UniformRandomNumberGenerator& __urng, | |
2906 | const param_type& __p); | |
2907 | ||
7b93bdde UD |
2908 | template<typename _ForwardIterator, |
2909 | typename _UniformRandomNumberGenerator> | |
2910 | void | |
2911 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2912 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 2913 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
2914 | |
2915 | template<typename _ForwardIterator, | |
2916 | typename _UniformRandomNumberGenerator> | |
2917 | void | |
2918 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2919 | _UniformRandomNumberGenerator& __urng, | |
2920 | const param_type& __p) | |
2921 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2922 | ||
2923 | template<typename _UniformRandomNumberGenerator> | |
2924 | void | |
2925 | __generate(result_type* __f, result_type* __t, | |
2926 | _UniformRandomNumberGenerator& __urng, | |
2927 | const param_type& __p) | |
2928 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2929 | ||
5bcb3b4d PC |
2930 | /** |
2931 | * @brief Return true if two Cauchy distributions have | |
2932 | * the same parameters. | |
2933 | */ | |
2934 | friend bool | |
2935 | operator==(const cauchy_distribution& __d1, | |
2936 | const cauchy_distribution& __d2) | |
2937 | { return __d1._M_param == __d2._M_param; } | |
2938 | ||
8e79468d | 2939 | private: |
7b93bdde UD |
2940 | template<typename _ForwardIterator, |
2941 | typename _UniformRandomNumberGenerator> | |
2942 | void | |
2943 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2944 | _UniformRandomNumberGenerator& __urng, | |
2945 | const param_type& __p); | |
2946 | ||
8e79468d BK |
2947 | param_type _M_param; |
2948 | }; | |
2949 | ||
fc05e1ba PC |
2950 | /** |
2951 | * @brief Return true if two Cauchy distributions have | |
2952 | * different parameters. | |
2953 | */ | |
2954 | template<typename _RealType> | |
2955 | inline bool | |
2956 | operator!=(const std::cauchy_distribution<_RealType>& __d1, | |
2957 | const std::cauchy_distribution<_RealType>& __d2) | |
2958 | { return !(__d1 == __d2); } | |
2959 | ||
8e79468d BK |
2960 | /** |
2961 | * @brief Inserts a %cauchy_distribution random number distribution | |
2962 | * @p __x into the output stream @p __os. | |
2963 | * | |
2964 | * @param __os An output stream. | |
2965 | * @param __x A %cauchy_distribution random number distribution. | |
2966 | * | |
2967 | * @returns The output stream with the state of @p __x inserted or in | |
2968 | * an error state. | |
2969 | */ | |
2970 | template<typename _RealType, typename _CharT, typename _Traits> | |
2971 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2972 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2973 | const std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
2974 | |
2975 | /** | |
2976 | * @brief Extracts a %cauchy_distribution random number distribution | |
2977 | * @p __x from the input stream @p __is. | |
2978 | * | |
2979 | * @param __is An input stream. | |
2980 | * @param __x A %cauchy_distribution random number | |
2981 | * generator engine. | |
2982 | * | |
2983 | * @returns The input stream with @p __x extracted or in an error state. | |
2984 | */ | |
2985 | template<typename _RealType, typename _CharT, typename _Traits> | |
2986 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2987 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2988 | std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
2989 | |
2990 | ||
2991 | /** | |
2992 | * @brief A fisher_f_distribution random number distribution. | |
2993 | * | |
2994 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
2995 | * @f[ |
2996 | * p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)} | |
04b70271 | 2997 | * (\frac{m}{n})^{m/2} x^{(m/2)-1} |
6cc5a790 BK |
2998 | * (1 + \frac{mx}{n})^{-(m+n)/2} |
2999 | * @f] | |
8e79468d BK |
3000 | */ |
3001 | template<typename _RealType = double> | |
3002 | class fisher_f_distribution | |
3003 | { | |
77e3c516 | 3004 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 3005 | "result_type must be a floating point type"); |
77e3c516 | 3006 | |
8e79468d BK |
3007 | public: |
3008 | /** The type of the range of the distribution. */ | |
3009 | typedef _RealType result_type; | |
12905f10 | 3010 | |
8e79468d BK |
3011 | /** Parameter type. */ |
3012 | struct param_type | |
3013 | { | |
3014 | typedef fisher_f_distribution<_RealType> distribution_type; | |
3015 | ||
3016 | explicit | |
3017 | param_type(_RealType __m = _RealType(1), | |
3018 | _RealType __n = _RealType(1)) | |
3019 | : _M_m(__m), _M_n(__n) | |
3020 | { } | |
3021 | ||
3022 | _RealType | |
3023 | m() const | |
3024 | { return _M_m; } | |
3025 | ||
3026 | _RealType | |
3027 | n() const | |
3028 | { return _M_n; } | |
3029 | ||
fc05e1ba PC |
3030 | friend bool |
3031 | operator==(const param_type& __p1, const param_type& __p2) | |
3032 | { return __p1._M_m == __p2._M_m && __p1._M_n == __p2._M_n; } | |
3033 | ||
12905f10 JW |
3034 | friend bool |
3035 | operator!=(const param_type& __p1, const param_type& __p2) | |
3036 | { return !(__p1 == __p2); } | |
3037 | ||
8e79468d BK |
3038 | private: |
3039 | _RealType _M_m; | |
3040 | _RealType _M_n; | |
3041 | }; | |
3042 | ||
3043 | explicit | |
3044 | fisher_f_distribution(_RealType __m = _RealType(1), | |
3045 | _RealType __n = _RealType(1)) | |
f9b09dec | 3046 | : _M_param(__m, __n), _M_gd_x(__m / 2), _M_gd_y(__n / 2) |
8e79468d BK |
3047 | { } |
3048 | ||
3049 | explicit | |
3050 | fisher_f_distribution(const param_type& __p) | |
f9b09dec | 3051 | : _M_param(__p), _M_gd_x(__p.m() / 2), _M_gd_y(__p.n() / 2) |
8e79468d BK |
3052 | { } |
3053 | ||
3054 | /** | |
3055 | * @brief Resets the distribution state. | |
3056 | */ | |
3057 | void | |
3058 | reset() | |
f9b09dec PC |
3059 | { |
3060 | _M_gd_x.reset(); | |
3061 | _M_gd_y.reset(); | |
3062 | } | |
8e79468d BK |
3063 | |
3064 | /** | |
3065 | * | |
3066 | */ | |
3067 | _RealType | |
3068 | m() const | |
3069 | { return _M_param.m(); } | |
3070 | ||
3071 | _RealType | |
3072 | n() const | |
3073 | { return _M_param.n(); } | |
3074 | ||
3075 | /** | |
3076 | * @brief Returns the parameter set of the distribution. | |
3077 | */ | |
3078 | param_type | |
3079 | param() const | |
3080 | { return _M_param; } | |
3081 | ||
3082 | /** | |
3083 | * @brief Sets the parameter set of the distribution. | |
3084 | * @param __param The new parameter set of the distribution. | |
3085 | */ | |
3086 | void | |
3087 | param(const param_type& __param) | |
3088 | { _M_param = __param; } | |
3089 | ||
3090 | /** | |
3091 | * @brief Returns the greatest lower bound value of the distribution. | |
3092 | */ | |
3093 | result_type | |
3094 | min() const | |
3095 | { return result_type(0); } | |
3096 | ||
3097 | /** | |
3098 | * @brief Returns the least upper bound value of the distribution. | |
3099 | */ | |
3100 | result_type | |
3101 | max() const | |
3102 | { return std::numeric_limits<result_type>::max(); } | |
3103 | ||
247d8075 PC |
3104 | /** |
3105 | * @brief Generating functions. | |
3106 | */ | |
8e79468d BK |
3107 | template<typename _UniformRandomNumberGenerator> |
3108 | result_type | |
3109 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 3110 | { return (_M_gd_x(__urng) * n()) / (_M_gd_y(__urng) * m()); } |
8e79468d BK |
3111 | |
3112 | template<typename _UniformRandomNumberGenerator> | |
3113 | result_type | |
3114 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3115 | const param_type& __p) |
3116 | { | |
3117 | typedef typename std::gamma_distribution<result_type>::param_type | |
3118 | param_type; | |
3119 | return ((_M_gd_x(__urng, param_type(__p.m() / 2)) * n()) | |
3120 | / (_M_gd_y(__urng, param_type(__p.n() / 2)) * m())); | |
3121 | } | |
8e79468d | 3122 | |
7b93bdde UD |
3123 | template<typename _ForwardIterator, |
3124 | typename _UniformRandomNumberGenerator> | |
3125 | void | |
3126 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3127 | _UniformRandomNumberGenerator& __urng) | |
3128 | { this->__generate_impl(__f, __t, __urng); } | |
3129 | ||
3130 | template<typename _ForwardIterator, | |
3131 | typename _UniformRandomNumberGenerator> | |
3132 | void | |
3133 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3134 | _UniformRandomNumberGenerator& __urng, | |
3135 | const param_type& __p) | |
3136 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3137 | ||
3138 | template<typename _UniformRandomNumberGenerator> | |
3139 | void | |
3140 | __generate(result_type* __f, result_type* __t, | |
3141 | _UniformRandomNumberGenerator& __urng) | |
3142 | { this->__generate_impl(__f, __t, __urng); } | |
3143 | ||
3144 | template<typename _UniformRandomNumberGenerator> | |
3145 | void | |
3146 | __generate(result_type* __f, result_type* __t, | |
3147 | _UniformRandomNumberGenerator& __urng, | |
3148 | const param_type& __p) | |
3149 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3150 | ||
fc05e1ba PC |
3151 | /** |
3152 | * @brief Return true if two Fisher f distributions have | |
3153 | * the same parameters and the sequences that would | |
3154 | * be generated are equal. | |
3155 | */ | |
a30e18c1 MG |
3156 | friend bool |
3157 | operator==(const fisher_f_distribution& __d1, | |
3158 | const fisher_f_distribution& __d2) | |
5bcb3b4d | 3159 | { return (__d1._M_param == __d2._M_param |
a30e18c1 MG |
3160 | && __d1._M_gd_x == __d2._M_gd_x |
3161 | && __d1._M_gd_y == __d2._M_gd_y); } | |
fc05e1ba | 3162 | |
e1923769 ESR |
3163 | /** |
3164 | * @brief Inserts a %fisher_f_distribution random number distribution | |
3165 | * @p __x into the output stream @p __os. | |
3166 | * | |
3167 | * @param __os An output stream. | |
3168 | * @param __x A %fisher_f_distribution random number distribution. | |
3169 | * | |
3170 | * @returns The output stream with the state of @p __x inserted or in | |
3171 | * an error state. | |
3172 | */ | |
3173 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3174 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3175 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3176 | const std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 ESR |
3177 | |
3178 | /** | |
3179 | * @brief Extracts a %fisher_f_distribution random number distribution | |
3180 | * @p __x from the input stream @p __is. | |
3181 | * | |
3182 | * @param __is An input stream. | |
3183 | * @param __x A %fisher_f_distribution random number | |
3184 | * generator engine. | |
3185 | * | |
3186 | * @returns The input stream with @p __x extracted or in an error state. | |
3187 | */ | |
3188 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3189 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3190 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3191 | std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 | 3192 | |
8e79468d | 3193 | private: |
7b93bdde UD |
3194 | template<typename _ForwardIterator, |
3195 | typename _UniformRandomNumberGenerator> | |
3196 | void | |
3197 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3198 | _UniformRandomNumberGenerator& __urng); | |
3199 | ||
3200 | template<typename _ForwardIterator, | |
3201 | typename _UniformRandomNumberGenerator> | |
3202 | void | |
3203 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3204 | _UniformRandomNumberGenerator& __urng, | |
3205 | const param_type& __p); | |
3206 | ||
8e79468d | 3207 | param_type _M_param; |
f9b09dec PC |
3208 | |
3209 | std::gamma_distribution<result_type> _M_gd_x, _M_gd_y; | |
8e79468d BK |
3210 | }; |
3211 | ||
fc05e1ba | 3212 | /** |
1d77bc54 | 3213 | * @brief Return true if two Fisher f distributions are different. |
fc05e1ba PC |
3214 | */ |
3215 | template<typename _RealType> | |
3216 | inline bool | |
3217 | operator!=(const std::fisher_f_distribution<_RealType>& __d1, | |
3218 | const std::fisher_f_distribution<_RealType>& __d2) | |
3219 | { return !(__d1 == __d2); } | |
8e79468d BK |
3220 | |
3221 | /** | |
3222 | * @brief A student_t_distribution random number distribution. | |
3223 | * | |
6cc5a790 BK |
3224 | * The formula for the normal probability mass function is: |
3225 | * @f[ | |
3226 | * p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)} | |
3227 | * (1 + \frac{x^2}{n}) ^{-(n+1)/2} | |
3228 | * @f] | |
8e79468d BK |
3229 | */ |
3230 | template<typename _RealType = double> | |
3231 | class student_t_distribution | |
3232 | { | |
77e3c516 | 3233 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 3234 | "result_type must be a floating point type"); |
77e3c516 | 3235 | |
8e79468d BK |
3236 | public: |
3237 | /** The type of the range of the distribution. */ | |
3238 | typedef _RealType result_type; | |
12905f10 | 3239 | |
8e79468d BK |
3240 | /** Parameter type. */ |
3241 | struct param_type | |
3242 | { | |
3243 | typedef student_t_distribution<_RealType> distribution_type; | |
3244 | ||
3245 | explicit | |
3246 | param_type(_RealType __n = _RealType(1)) | |
3247 | : _M_n(__n) | |
3248 | { } | |
3249 | ||
3250 | _RealType | |
3251 | n() const | |
3252 | { return _M_n; } | |
3253 | ||
fc05e1ba PC |
3254 | friend bool |
3255 | operator==(const param_type& __p1, const param_type& __p2) | |
3256 | { return __p1._M_n == __p2._M_n; } | |
3257 | ||
12905f10 JW |
3258 | friend bool |
3259 | operator!=(const param_type& __p1, const param_type& __p2) | |
3260 | { return !(__p1 == __p2); } | |
3261 | ||
8e79468d BK |
3262 | private: |
3263 | _RealType _M_n; | |
3264 | }; | |
3265 | ||
3266 | explicit | |
3267 | student_t_distribution(_RealType __n = _RealType(1)) | |
f9b09dec | 3268 | : _M_param(__n), _M_nd(), _M_gd(__n / 2, 2) |
8e79468d BK |
3269 | { } |
3270 | ||
3271 | explicit | |
3272 | student_t_distribution(const param_type& __p) | |
f9b09dec | 3273 | : _M_param(__p), _M_nd(), _M_gd(__p.n() / 2, 2) |
8e79468d BK |
3274 | { } |
3275 | ||
3276 | /** | |
3277 | * @brief Resets the distribution state. | |
3278 | */ | |
3279 | void | |
3280 | reset() | |
f9b09dec PC |
3281 | { |
3282 | _M_nd.reset(); | |
3283 | _M_gd.reset(); | |
3284 | } | |
8e79468d BK |
3285 | |
3286 | /** | |
3287 | * | |
3288 | */ | |
3289 | _RealType | |
3290 | n() const | |
3291 | { return _M_param.n(); } | |
3292 | ||
3293 | /** | |
3294 | * @brief Returns the parameter set of the distribution. | |
3295 | */ | |
3296 | param_type | |
3297 | param() const | |
3298 | { return _M_param; } | |
3299 | ||
3300 | /** | |
3301 | * @brief Sets the parameter set of the distribution. | |
3302 | * @param __param The new parameter set of the distribution. | |
3303 | */ | |
3304 | void | |
3305 | param(const param_type& __param) | |
3306 | { _M_param = __param; } | |
3307 | ||
3308 | /** | |
3309 | * @brief Returns the greatest lower bound value of the distribution. | |
3310 | */ | |
3311 | result_type | |
3312 | min() const | |
a803975d | 3313 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
3314 | |
3315 | /** | |
3316 | * @brief Returns the least upper bound value of the distribution. | |
3317 | */ | |
3318 | result_type | |
3319 | max() const | |
3320 | { return std::numeric_limits<result_type>::max(); } | |
3321 | ||
247d8075 PC |
3322 | /** |
3323 | * @brief Generating functions. | |
3324 | */ | |
8e79468d BK |
3325 | template<typename _UniformRandomNumberGenerator> |
3326 | result_type | |
f9b09dec PC |
3327 | operator()(_UniformRandomNumberGenerator& __urng) |
3328 | { return _M_nd(__urng) * std::sqrt(n() / _M_gd(__urng)); } | |
8e79468d BK |
3329 | |
3330 | template<typename _UniformRandomNumberGenerator> | |
3331 | result_type | |
3332 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3333 | const param_type& __p) |
3334 | { | |
3335 | typedef typename std::gamma_distribution<result_type>::param_type | |
3336 | param_type; | |
3337 | ||
3338 | const result_type __g = _M_gd(__urng, param_type(__p.n() / 2, 2)); | |
3339 | return _M_nd(__urng) * std::sqrt(__p.n() / __g); | |
3340 | } | |
8e79468d | 3341 | |
7b93bdde UD |
3342 | template<typename _ForwardIterator, |
3343 | typename _UniformRandomNumberGenerator> | |
3344 | void | |
3345 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3346 | _UniformRandomNumberGenerator& __urng) | |
3347 | { this->__generate_impl(__f, __t, __urng); } | |
3348 | ||
3349 | template<typename _ForwardIterator, | |
3350 | typename _UniformRandomNumberGenerator> | |
3351 | void | |
3352 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3353 | _UniformRandomNumberGenerator& __urng, | |
3354 | const param_type& __p) | |
3355 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3356 | ||
3357 | template<typename _UniformRandomNumberGenerator> | |
3358 | void | |
3359 | __generate(result_type* __f, result_type* __t, | |
3360 | _UniformRandomNumberGenerator& __urng) | |
3361 | { this->__generate_impl(__f, __t, __urng); } | |
3362 | ||
3363 | template<typename _UniformRandomNumberGenerator> | |
3364 | void | |
3365 | __generate(result_type* __f, result_type* __t, | |
3366 | _UniformRandomNumberGenerator& __urng, | |
3367 | const param_type& __p) | |
3368 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3369 | ||
fc05e1ba PC |
3370 | /** |
3371 | * @brief Return true if two Student t distributions have | |
3372 | * the same parameters and the sequences that would | |
3373 | * be generated are equal. | |
3374 | */ | |
a30e18c1 MG |
3375 | friend bool |
3376 | operator==(const student_t_distribution& __d1, | |
3377 | const student_t_distribution& __d2) | |
5bcb3b4d | 3378 | { return (__d1._M_param == __d2._M_param |
a30e18c1 | 3379 | && __d1._M_nd == __d2._M_nd && __d1._M_gd == __d2._M_gd); } |
fc05e1ba | 3380 | |
e1923769 ESR |
3381 | /** |
3382 | * @brief Inserts a %student_t_distribution random number distribution | |
3383 | * @p __x into the output stream @p __os. | |
3384 | * | |
3385 | * @param __os An output stream. | |
3386 | * @param __x A %student_t_distribution random number distribution. | |
3387 | * | |
3388 | * @returns The output stream with the state of @p __x inserted or in | |
3389 | * an error state. | |
3390 | */ | |
3391 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3392 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3393 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3394 | const std::student_t_distribution<_RealType1>& __x); | |
e1923769 ESR |
3395 | |
3396 | /** | |
3397 | * @brief Extracts a %student_t_distribution random number distribution | |
3398 | * @p __x from the input stream @p __is. | |
3399 | * | |
3400 | * @param __is An input stream. | |
3401 | * @param __x A %student_t_distribution random number | |
3402 | * generator engine. | |
3403 | * | |
3404 | * @returns The input stream with @p __x extracted or in an error state. | |
3405 | */ | |
3406 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3407 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3408 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3409 | std::student_t_distribution<_RealType1>& __x); | |
e1923769 | 3410 | |
8e79468d | 3411 | private: |
7b93bdde UD |
3412 | template<typename _ForwardIterator, |
3413 | typename _UniformRandomNumberGenerator> | |
3414 | void | |
3415 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3416 | _UniformRandomNumberGenerator& __urng); | |
3417 | template<typename _ForwardIterator, | |
3418 | typename _UniformRandomNumberGenerator> | |
3419 | void | |
3420 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3421 | _UniformRandomNumberGenerator& __urng, | |
3422 | const param_type& __p); | |
3423 | ||
8e79468d | 3424 | param_type _M_param; |
b01630bb | 3425 | |
f9b09dec PC |
3426 | std::normal_distribution<result_type> _M_nd; |
3427 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
3428 | }; |
3429 | ||
fc05e1ba PC |
3430 | /** |
3431 | * @brief Return true if two Student t distributions are different. | |
3432 | */ | |
3433 | template<typename _RealType> | |
3434 | inline bool | |
3435 | operator!=(const std::student_t_distribution<_RealType>& __d1, | |
3436 | const std::student_t_distribution<_RealType>& __d2) | |
3437 | { return !(__d1 == __d2); } | |
3438 | ||
3439 | ||
037181bc | 3440 | /* @} */ // group random_distributions_normal |
8e79468d BK |
3441 | |
3442 | /** | |
94a86be0 | 3443 | * @addtogroup random_distributions_bernoulli Bernoulli Distributions |
037181bc | 3444 | * @ingroup random_distributions |
8e79468d BK |
3445 | * @{ |
3446 | */ | |
3447 | ||
3448 | /** | |
3449 | * @brief A Bernoulli random number distribution. | |
3450 | * | |
6cc5a790 BK |
3451 | * Generates a sequence of true and false values with likelihood @f$p@f$ |
3452 | * that true will come up and @f$(1 - p)@f$ that false will appear. | |
8e79468d BK |
3453 | */ |
3454 | class bernoulli_distribution | |
3455 | { | |
3456 | public: | |
3457 | /** The type of the range of the distribution. */ | |
3458 | typedef bool result_type; | |
12905f10 | 3459 | |
8e79468d BK |
3460 | /** Parameter type. */ |
3461 | struct param_type | |
3462 | { | |
3463 | typedef bernoulli_distribution distribution_type; | |
3464 | ||
3465 | explicit | |
3466 | param_type(double __p = 0.5) | |
3467 | : _M_p(__p) | |
3468 | { | |
2f1e8e7c | 3469 | __glibcxx_assert((_M_p >= 0.0) && (_M_p <= 1.0)); |
8e79468d BK |
3470 | } |
3471 | ||
3472 | double | |
3473 | p() const | |
3474 | { return _M_p; } | |
3475 | ||
fc05e1ba PC |
3476 | friend bool |
3477 | operator==(const param_type& __p1, const param_type& __p2) | |
3478 | { return __p1._M_p == __p2._M_p; } | |
3479 | ||
12905f10 JW |
3480 | friend bool |
3481 | operator!=(const param_type& __p1, const param_type& __p2) | |
3482 | { return !(__p1 == __p2); } | |
3483 | ||
8e79468d BK |
3484 | private: |
3485 | double _M_p; | |
3486 | }; | |
3487 | ||
3488 | public: | |
3489 | /** | |
3490 | * @brief Constructs a Bernoulli distribution with likelihood @p p. | |
3491 | * | |
3492 | * @param __p [IN] The likelihood of a true result being returned. | |
6cc5a790 | 3493 | * Must be in the interval @f$[0, 1]@f$. |
8e79468d BK |
3494 | */ |
3495 | explicit | |
3496 | bernoulli_distribution(double __p = 0.5) | |
3497 | : _M_param(__p) | |
3498 | { } | |
3499 | ||
3500 | explicit | |
3501 | bernoulli_distribution(const param_type& __p) | |
3502 | : _M_param(__p) | |
3503 | { } | |
3504 | ||
3505 | /** | |
3506 | * @brief Resets the distribution state. | |
3507 | * | |
3508 | * Does nothing for a Bernoulli distribution. | |
3509 | */ | |
3510 | void | |
3511 | reset() { } | |
3512 | ||
3513 | /** | |
3514 | * @brief Returns the @p p parameter of the distribution. | |
3515 | */ | |
3516 | double | |
3517 | p() const | |
3518 | { return _M_param.p(); } | |
3519 | ||
3520 | /** | |
3521 | * @brief Returns the parameter set of the distribution. | |
3522 | */ | |
3523 | param_type | |
3524 | param() const | |
3525 | { return _M_param; } | |
3526 | ||
3527 | /** | |
3528 | * @brief Sets the parameter set of the distribution. | |
3529 | * @param __param The new parameter set of the distribution. | |
3530 | */ | |
3531 | void | |
3532 | param(const param_type& __param) | |
3533 | { _M_param = __param; } | |
3534 | ||
3535 | /** | |
3536 | * @brief Returns the greatest lower bound value of the distribution. | |
3537 | */ | |
3538 | result_type | |
3539 | min() const | |
3540 | { return std::numeric_limits<result_type>::min(); } | |
3541 | ||
3542 | /** | |
3543 | * @brief Returns the least upper bound value of the distribution. | |
3544 | */ | |
3545 | result_type | |
3546 | max() const | |
3547 | { return std::numeric_limits<result_type>::max(); } | |
3548 | ||
3549 | /** | |
247d8075 | 3550 | * @brief Generating functions. |
8e79468d BK |
3551 | */ |
3552 | template<typename _UniformRandomNumberGenerator> | |
3553 | result_type | |
3554 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3555 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
3556 | |
3557 | template<typename _UniformRandomNumberGenerator> | |
3558 | result_type | |
3559 | operator()(_UniformRandomNumberGenerator& __urng, | |
3560 | const param_type& __p) | |
3561 | { | |
3562 | __detail::_Adaptor<_UniformRandomNumberGenerator, double> | |
3563 | __aurng(__urng); | |
3564 | if ((__aurng() - __aurng.min()) | |
3565 | < __p.p() * (__aurng.max() - __aurng.min())) | |
3566 | return true; | |
3567 | return false; | |
3568 | } | |
3569 | ||
7b93bdde UD |
3570 | template<typename _ForwardIterator, |
3571 | typename _UniformRandomNumberGenerator> | |
3572 | void | |
3573 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3574 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3575 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
3576 | |
3577 | template<typename _ForwardIterator, | |
3578 | typename _UniformRandomNumberGenerator> | |
3579 | void | |
3580 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3581 | _UniformRandomNumberGenerator& __urng, const param_type& __p) | |
3582 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3583 | ||
3584 | template<typename _UniformRandomNumberGenerator> | |
3585 | void | |
3586 | __generate(result_type* __f, result_type* __t, | |
3587 | _UniformRandomNumberGenerator& __urng, | |
3588 | const param_type& __p) | |
3589 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3590 | ||
5bcb3b4d PC |
3591 | /** |
3592 | * @brief Return true if two Bernoulli distributions have | |
3593 | * the same parameters. | |
3594 | */ | |
3595 | friend bool | |
3596 | operator==(const bernoulli_distribution& __d1, | |
3597 | const bernoulli_distribution& __d2) | |
3598 | { return __d1._M_param == __d2._M_param; } | |
3599 | ||
8e79468d | 3600 | private: |
7b93bdde UD |
3601 | template<typename _ForwardIterator, |
3602 | typename _UniformRandomNumberGenerator> | |
3603 | void | |
3604 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3605 | _UniformRandomNumberGenerator& __urng, | |
3606 | const param_type& __p); | |
3607 | ||
8e79468d BK |
3608 | param_type _M_param; |
3609 | }; | |
3610 | ||
fc05e1ba PC |
3611 | /** |
3612 | * @brief Return true if two Bernoulli distributions have | |
3613 | * different parameters. | |
3614 | */ | |
3615 | inline bool | |
3616 | operator!=(const std::bernoulli_distribution& __d1, | |
3617 | const std::bernoulli_distribution& __d2) | |
3618 | { return !(__d1 == __d2); } | |
3619 | ||
8e79468d BK |
3620 | /** |
3621 | * @brief Inserts a %bernoulli_distribution random number distribution | |
3622 | * @p __x into the output stream @p __os. | |
3623 | * | |
3624 | * @param __os An output stream. | |
3625 | * @param __x A %bernoulli_distribution random number distribution. | |
3626 | * | |
3627 | * @returns The output stream with the state of @p __x inserted or in | |
3628 | * an error state. | |
3629 | */ | |
3630 | template<typename _CharT, typename _Traits> | |
3631 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3632 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3633 | const std::bernoulli_distribution& __x); | |
8e79468d BK |
3634 | |
3635 | /** | |
3636 | * @brief Extracts a %bernoulli_distribution random number distribution | |
3637 | * @p __x from the input stream @p __is. | |
3638 | * | |
3639 | * @param __is An input stream. | |
3640 | * @param __x A %bernoulli_distribution random number generator engine. | |
3641 | * | |
3642 | * @returns The input stream with @p __x extracted or in an error state. | |
3643 | */ | |
3644 | template<typename _CharT, typename _Traits> | |
3645 | std::basic_istream<_CharT, _Traits>& | |
3646 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 3647 | std::bernoulli_distribution& __x) |
8e79468d BK |
3648 | { |
3649 | double __p; | |
3650 | __is >> __p; | |
3651 | __x.param(bernoulli_distribution::param_type(__p)); | |
3652 | return __is; | |
3653 | } | |
3654 | ||
3655 | ||
3656 | /** | |
3657 | * @brief A discrete binomial random number distribution. | |
3658 | * | |
3659 | * The formula for the binomial probability density function is | |
9ea146e6 | 3660 | * @f$p(i|t,p) = \binom{t}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
6cc5a790 | 3661 | * and @f$p@f$ are the parameters of the distribution. |
8e79468d BK |
3662 | */ |
3663 | template<typename _IntType = int> | |
3664 | class binomial_distribution | |
3665 | { | |
77e3c516 | 3666 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 3667 | "result_type must be an integral type"); |
8e79468d BK |
3668 | |
3669 | public: | |
3670 | /** The type of the range of the distribution. */ | |
3671 | typedef _IntType result_type; | |
12905f10 | 3672 | |
8e79468d BK |
3673 | /** Parameter type. */ |
3674 | struct param_type | |
3675 | { | |
3676 | typedef binomial_distribution<_IntType> distribution_type; | |
3677 | friend class binomial_distribution<_IntType>; | |
3678 | ||
3679 | explicit | |
3680 | param_type(_IntType __t = _IntType(1), double __p = 0.5) | |
3681 | : _M_t(__t), _M_p(__p) | |
3682 | { | |
2f1e8e7c | 3683 | __glibcxx_assert((_M_t >= _IntType(0)) |
94986f6d PC |
3684 | && (_M_p >= 0.0) |
3685 | && (_M_p <= 1.0)); | |
8e79468d BK |
3686 | _M_initialize(); |
3687 | } | |
3688 | ||
3689 | _IntType | |
3690 | t() const | |
3691 | { return _M_t; } | |
3692 | ||
3693 | double | |
3694 | p() const | |
3695 | { return _M_p; } | |
3696 | ||
fc05e1ba PC |
3697 | friend bool |
3698 | operator==(const param_type& __p1, const param_type& __p2) | |
3699 | { return __p1._M_t == __p2._M_t && __p1._M_p == __p2._M_p; } | |
3700 | ||
12905f10 JW |
3701 | friend bool |
3702 | operator!=(const param_type& __p1, const param_type& __p2) | |
3703 | { return !(__p1 == __p2); } | |
3704 | ||
8e79468d BK |
3705 | private: |
3706 | void | |
3707 | _M_initialize(); | |
3708 | ||
3709 | _IntType _M_t; | |
3710 | double _M_p; | |
3711 | ||
3712 | double _M_q; | |
3713 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
3714 | double _M_d1, _M_d2, _M_s1, _M_s2, _M_c, | |
3715 | _M_a1, _M_a123, _M_s, _M_lf, _M_lp1p; | |
3716 | #endif | |
3717 | bool _M_easy; | |
3718 | }; | |
3719 | ||
3720 | // constructors and member function | |
3721 | explicit | |
3722 | binomial_distribution(_IntType __t = _IntType(1), | |
3723 | double __p = 0.5) | |
3724 | : _M_param(__t, __p), _M_nd() | |
3725 | { } | |
3726 | ||
3727 | explicit | |
3728 | binomial_distribution(const param_type& __p) | |
3729 | : _M_param(__p), _M_nd() | |
3730 | { } | |
3731 | ||
3732 | /** | |
3733 | * @brief Resets the distribution state. | |
3734 | */ | |
3735 | void | |
3736 | reset() | |
3737 | { _M_nd.reset(); } | |
3738 | ||
3739 | /** | |
3740 | * @brief Returns the distribution @p t parameter. | |
3741 | */ | |
3742 | _IntType | |
3743 | t() const | |
3744 | { return _M_param.t(); } | |
3745 | ||
3746 | /** | |
3747 | * @brief Returns the distribution @p p parameter. | |
3748 | */ | |
3749 | double | |
3750 | p() const | |
3751 | { return _M_param.p(); } | |
3752 | ||
3753 | /** | |
3754 | * @brief Returns the parameter set of the distribution. | |
3755 | */ | |
3756 | param_type | |
3757 | param() const | |
3758 | { return _M_param; } | |
3759 | ||
3760 | /** | |
3761 | * @brief Sets the parameter set of the distribution. | |
3762 | * @param __param The new parameter set of the distribution. | |
3763 | */ | |
3764 | void | |
3765 | param(const param_type& __param) | |
3766 | { _M_param = __param; } | |
3767 | ||
3768 | /** | |
3769 | * @brief Returns the greatest lower bound value of the distribution. | |
3770 | */ | |
3771 | result_type | |
3772 | min() const | |
3773 | { return 0; } | |
3774 | ||
3775 | /** | |
3776 | * @brief Returns the least upper bound value of the distribution. | |
3777 | */ | |
3778 | result_type | |
3779 | max() const | |
3780 | { return _M_param.t(); } | |
3781 | ||
247d8075 PC |
3782 | /** |
3783 | * @brief Generating functions. | |
3784 | */ | |
3785 | template<typename _UniformRandomNumberGenerator> | |
3786 | result_type | |
3787 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3788 | { return this->operator()(__urng, _M_param); } |
247d8075 PC |
3789 | |
3790 | template<typename _UniformRandomNumberGenerator> | |
3791 | result_type | |
3792 | operator()(_UniformRandomNumberGenerator& __urng, | |
3793 | const param_type& __p); | |
3794 | ||
7b93bdde UD |
3795 | template<typename _ForwardIterator, |
3796 | typename _UniformRandomNumberGenerator> | |
3797 | void | |
3798 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3799 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 3800 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
3801 | |
3802 | template<typename _ForwardIterator, | |
3803 | typename _UniformRandomNumberGenerator> | |
3804 | void | |
3805 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3806 | _UniformRandomNumberGenerator& __urng, | |
3807 | const param_type& __p) | |
3808 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3809 | ||
3810 | template<typename _UniformRandomNumberGenerator> | |
3811 | void | |
3812 | __generate(result_type* __f, result_type* __t, | |
3813 | _UniformRandomNumberGenerator& __urng, | |
3814 | const param_type& __p) | |
3815 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3816 | ||
fc05e1ba PC |
3817 | /** |
3818 | * @brief Return true if two binomial distributions have | |
3819 | * the same parameters and the sequences that would | |
3820 | * be generated are equal. | |
3821 | */ | |
fc05e1ba | 3822 | friend bool |
a30e18c1 MG |
3823 | operator==(const binomial_distribution& __d1, |
3824 | const binomial_distribution& __d2) | |
fc05e1ba | 3825 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
5bcb3b4d | 3826 | { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 3827 | #else |
5bcb3b4d | 3828 | { return __d1._M_param == __d2._M_param; } |
fc05e1ba PC |
3829 | #endif |
3830 | ||
8e79468d BK |
3831 | /** |
3832 | * @brief Inserts a %binomial_distribution random number distribution | |
3833 | * @p __x into the output stream @p __os. | |
3834 | * | |
3835 | * @param __os An output stream. | |
3836 | * @param __x A %binomial_distribution random number distribution. | |
3837 | * | |
3838 | * @returns The output stream with the state of @p __x inserted or in | |
3839 | * an error state. | |
3840 | */ | |
3841 | template<typename _IntType1, | |
3842 | typename _CharT, typename _Traits> | |
3843 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3844 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3845 | const std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3846 | |
3847 | /** | |
3848 | * @brief Extracts a %binomial_distribution random number distribution | |
3849 | * @p __x from the input stream @p __is. | |
3850 | * | |
3851 | * @param __is An input stream. | |
3852 | * @param __x A %binomial_distribution random number generator engine. | |
3853 | * | |
3854 | * @returns The input stream with @p __x extracted or in an error | |
3855 | * state. | |
3856 | */ | |
3857 | template<typename _IntType1, | |
3858 | typename _CharT, typename _Traits> | |
3859 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3860 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3861 | std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3862 | |
3863 | private: | |
7b93bdde UD |
3864 | template<typename _ForwardIterator, |
3865 | typename _UniformRandomNumberGenerator> | |
3866 | void | |
3867 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3868 | _UniformRandomNumberGenerator& __urng, | |
3869 | const param_type& __p); | |
3870 | ||
8e79468d BK |
3871 | template<typename _UniformRandomNumberGenerator> |
3872 | result_type | |
07bba3b1 PC |
3873 | _M_waiting(_UniformRandomNumberGenerator& __urng, |
3874 | _IntType __t, double __q); | |
8e79468d BK |
3875 | |
3876 | param_type _M_param; | |
3877 | ||
3878 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 3879 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
3880 | }; |
3881 | ||
fc05e1ba PC |
3882 | /** |
3883 | * @brief Return true if two binomial distributions are different. | |
3884 | */ | |
3885 | template<typename _IntType> | |
3886 | inline bool | |
3887 | operator!=(const std::binomial_distribution<_IntType>& __d1, | |
3888 | const std::binomial_distribution<_IntType>& __d2) | |
3889 | { return !(__d1 == __d2); } | |
3890 | ||
8e79468d BK |
3891 | |
3892 | /** | |
3893 | * @brief A discrete geometric random number distribution. | |
3894 | * | |
3895 | * The formula for the geometric probability density function is | |
d8d4db33 | 3896 | * @f$p(i|p) = p(1 - p)^{i}@f$ where @f$p@f$ is the parameter of the |
8e79468d BK |
3897 | * distribution. |
3898 | */ | |
3899 | template<typename _IntType = int> | |
3900 | class geometric_distribution | |
3901 | { | |
77e3c516 | 3902 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 3903 | "result_type must be an integral type"); |
8e79468d BK |
3904 | |
3905 | public: | |
3906 | /** The type of the range of the distribution. */ | |
3907 | typedef _IntType result_type; | |
12905f10 | 3908 | |
8e79468d BK |
3909 | /** Parameter type. */ |
3910 | struct param_type | |
3911 | { | |
3912 | typedef geometric_distribution<_IntType> distribution_type; | |
3913 | friend class geometric_distribution<_IntType>; | |
3914 | ||
3915 | explicit | |
3916 | param_type(double __p = 0.5) | |
3917 | : _M_p(__p) | |
3918 | { | |
2f1e8e7c | 3919 | __glibcxx_assert((_M_p > 0.0) && (_M_p < 1.0)); |
8e79468d BK |
3920 | _M_initialize(); |
3921 | } | |
3922 | ||
3923 | double | |
3924 | p() const | |
3925 | { return _M_p; } | |
3926 | ||
fc05e1ba PC |
3927 | friend bool |
3928 | operator==(const param_type& __p1, const param_type& __p2) | |
3929 | { return __p1._M_p == __p2._M_p; } | |
3930 | ||
12905f10 JW |
3931 | friend bool |
3932 | operator!=(const param_type& __p1, const param_type& __p2) | |
3933 | { return !(__p1 == __p2); } | |
3934 | ||
8e79468d BK |
3935 | private: |
3936 | void | |
3937 | _M_initialize() | |
d8d4db33 | 3938 | { _M_log_1_p = std::log(1.0 - _M_p); } |
8e79468d BK |
3939 | |
3940 | double _M_p; | |
3941 | ||
d8d4db33 | 3942 | double _M_log_1_p; |
8e79468d BK |
3943 | }; |
3944 | ||
3945 | // constructors and member function | |
3946 | explicit | |
3947 | geometric_distribution(double __p = 0.5) | |
3948 | : _M_param(__p) | |
3949 | { } | |
3950 | ||
3951 | explicit | |
3952 | geometric_distribution(const param_type& __p) | |
3953 | : _M_param(__p) | |
3954 | { } | |
3955 | ||
3956 | /** | |
3957 | * @brief Resets the distribution state. | |
3958 | * | |
3959 | * Does nothing for the geometric distribution. | |
3960 | */ | |
3961 | void | |
3962 | reset() { } | |
3963 | ||
3964 | /** | |
3965 | * @brief Returns the distribution parameter @p p. | |
3966 | */ | |
3967 | double | |
3968 | p() const | |
3969 | { return _M_param.p(); } | |
3970 | ||
3971 | /** | |
3972 | * @brief Returns the parameter set of the distribution. | |
3973 | */ | |
3974 | param_type | |
3975 | param() const | |
3976 | { return _M_param; } | |
3977 | ||
3978 | /** | |
3979 | * @brief Sets the parameter set of the distribution. | |
3980 | * @param __param The new parameter set of the distribution. | |
3981 | */ | |
3982 | void | |
3983 | param(const param_type& __param) | |
3984 | { _M_param = __param; } | |
3985 | ||
3986 | /** | |
3987 | * @brief Returns the greatest lower bound value of the distribution. | |
3988 | */ | |
3989 | result_type | |
3990 | min() const | |
3991 | { return 0; } | |
3992 | ||
3993 | /** | |
3994 | * @brief Returns the least upper bound value of the distribution. | |
3995 | */ | |
3996 | result_type | |
3997 | max() const | |
3998 | { return std::numeric_limits<result_type>::max(); } | |
3999 | ||
247d8075 PC |
4000 | /** |
4001 | * @brief Generating functions. | |
4002 | */ | |
8e79468d BK |
4003 | template<typename _UniformRandomNumberGenerator> |
4004 | result_type | |
4005 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4006 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4007 | |
4008 | template<typename _UniformRandomNumberGenerator> | |
4009 | result_type | |
4010 | operator()(_UniformRandomNumberGenerator& __urng, | |
4011 | const param_type& __p); | |
4012 | ||
7b93bdde UD |
4013 | template<typename _ForwardIterator, |
4014 | typename _UniformRandomNumberGenerator> | |
4015 | void | |
4016 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4017 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4018 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4019 | |
4020 | template<typename _ForwardIterator, | |
4021 | typename _UniformRandomNumberGenerator> | |
4022 | void | |
4023 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4024 | _UniformRandomNumberGenerator& __urng, | |
4025 | const param_type& __p) | |
4026 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4027 | ||
4028 | template<typename _UniformRandomNumberGenerator> | |
4029 | void | |
4030 | __generate(result_type* __f, result_type* __t, | |
4031 | _UniformRandomNumberGenerator& __urng, | |
4032 | const param_type& __p) | |
4033 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4034 | ||
5bcb3b4d PC |
4035 | /** |
4036 | * @brief Return true if two geometric distributions have | |
4037 | * the same parameters. | |
4038 | */ | |
4039 | friend bool | |
4040 | operator==(const geometric_distribution& __d1, | |
4041 | const geometric_distribution& __d2) | |
4042 | { return __d1._M_param == __d2._M_param; } | |
4043 | ||
8e79468d | 4044 | private: |
7b93bdde UD |
4045 | template<typename _ForwardIterator, |
4046 | typename _UniformRandomNumberGenerator> | |
4047 | void | |
4048 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4049 | _UniformRandomNumberGenerator& __urng, | |
4050 | const param_type& __p); | |
4051 | ||
8e79468d BK |
4052 | param_type _M_param; |
4053 | }; | |
4054 | ||
fc05e1ba PC |
4055 | /** |
4056 | * @brief Return true if two geometric distributions have | |
4057 | * different parameters. | |
4058 | */ | |
4059 | template<typename _IntType> | |
4060 | inline bool | |
4061 | operator!=(const std::geometric_distribution<_IntType>& __d1, | |
4062 | const std::geometric_distribution<_IntType>& __d2) | |
4063 | { return !(__d1 == __d2); } | |
4064 | ||
8e79468d BK |
4065 | /** |
4066 | * @brief Inserts a %geometric_distribution random number distribution | |
4067 | * @p __x into the output stream @p __os. | |
4068 | * | |
4069 | * @param __os An output stream. | |
4070 | * @param __x A %geometric_distribution random number distribution. | |
4071 | * | |
4072 | * @returns The output stream with the state of @p __x inserted or in | |
4073 | * an error state. | |
4074 | */ | |
4075 | template<typename _IntType, | |
4076 | typename _CharT, typename _Traits> | |
4077 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4078 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4079 | const std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4080 | |
4081 | /** | |
4082 | * @brief Extracts a %geometric_distribution random number distribution | |
4083 | * @p __x from the input stream @p __is. | |
4084 | * | |
4085 | * @param __is An input stream. | |
4086 | * @param __x A %geometric_distribution random number generator engine. | |
4087 | * | |
4088 | * @returns The input stream with @p __x extracted or in an error state. | |
4089 | */ | |
4090 | template<typename _IntType, | |
4091 | typename _CharT, typename _Traits> | |
4092 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4093 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4094 | std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4095 | |
4096 | ||
4097 | /** | |
4098 | * @brief A negative_binomial_distribution random number distribution. | |
4099 | * | |
4100 | * The formula for the negative binomial probability mass function is | |
6cc5a790 BK |
4101 | * @f$p(i) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
4102 | * and @f$p@f$ are the parameters of the distribution. | |
8e79468d BK |
4103 | */ |
4104 | template<typename _IntType = int> | |
4105 | class negative_binomial_distribution | |
4106 | { | |
77e3c516 | 4107 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 4108 | "result_type must be an integral type"); |
8e79468d BK |
4109 | |
4110 | public: | |
4111 | /** The type of the range of the distribution. */ | |
4112 | typedef _IntType result_type; | |
12905f10 | 4113 | |
8e79468d BK |
4114 | /** Parameter type. */ |
4115 | struct param_type | |
4116 | { | |
4117 | typedef negative_binomial_distribution<_IntType> distribution_type; | |
4118 | ||
4119 | explicit | |
4120 | param_type(_IntType __k = 1, double __p = 0.5) | |
4121 | : _M_k(__k), _M_p(__p) | |
113b21bd | 4122 | { |
2f1e8e7c | 4123 | __glibcxx_assert((_M_k > 0) && (_M_p > 0.0) && (_M_p <= 1.0)); |
113b21bd | 4124 | } |
8e79468d BK |
4125 | |
4126 | _IntType | |
4127 | k() const | |
4128 | { return _M_k; } | |
4129 | ||
4130 | double | |
4131 | p() const | |
4132 | { return _M_p; } | |
4133 | ||
fc05e1ba PC |
4134 | friend bool |
4135 | operator==(const param_type& __p1, const param_type& __p2) | |
4136 | { return __p1._M_k == __p2._M_k && __p1._M_p == __p2._M_p; } | |
4137 | ||
12905f10 JW |
4138 | friend bool |
4139 | operator!=(const param_type& __p1, const param_type& __p2) | |
4140 | { return !(__p1 == __p2); } | |
4141 | ||
8e79468d BK |
4142 | private: |
4143 | _IntType _M_k; | |
4144 | double _M_p; | |
4145 | }; | |
4146 | ||
4147 | explicit | |
4148 | negative_binomial_distribution(_IntType __k = 1, double __p = 0.5) | |
ff2e697a | 4149 | : _M_param(__k, __p), _M_gd(__k, (1.0 - __p) / __p) |
8e79468d BK |
4150 | { } |
4151 | ||
4152 | explicit | |
4153 | negative_binomial_distribution(const param_type& __p) | |
ff2e697a | 4154 | : _M_param(__p), _M_gd(__p.k(), (1.0 - __p.p()) / __p.p()) |
8e79468d BK |
4155 | { } |
4156 | ||
4157 | /** | |
4158 | * @brief Resets the distribution state. | |
4159 | */ | |
4160 | void | |
4161 | reset() | |
f9b09dec | 4162 | { _M_gd.reset(); } |
8e79468d BK |
4163 | |
4164 | /** | |
6cc5a790 | 4165 | * @brief Return the @f$k@f$ parameter of the distribution. |
8e79468d BK |
4166 | */ |
4167 | _IntType | |
4168 | k() const | |
4169 | { return _M_param.k(); } | |
4170 | ||
4171 | /** | |
6cc5a790 | 4172 | * @brief Return the @f$p@f$ parameter of the distribution. |
8e79468d BK |
4173 | */ |
4174 | double | |
4175 | p() const | |
4176 | { return _M_param.p(); } | |
4177 | ||
4178 | /** | |
4179 | * @brief Returns the parameter set of the distribution. | |
4180 | */ | |
4181 | param_type | |
4182 | param() const | |
4183 | { return _M_param; } | |
4184 | ||
4185 | /** | |
4186 | * @brief Sets the parameter set of the distribution. | |
4187 | * @param __param The new parameter set of the distribution. | |
4188 | */ | |
4189 | void | |
4190 | param(const param_type& __param) | |
4191 | { _M_param = __param; } | |
4192 | ||
4193 | /** | |
4194 | * @brief Returns the greatest lower bound value of the distribution. | |
4195 | */ | |
4196 | result_type | |
4197 | min() const | |
4198 | { return result_type(0); } | |
4199 | ||
4200 | /** | |
4201 | * @brief Returns the least upper bound value of the distribution. | |
4202 | */ | |
4203 | result_type | |
4204 | max() const | |
4205 | { return std::numeric_limits<result_type>::max(); } | |
4206 | ||
247d8075 PC |
4207 | /** |
4208 | * @brief Generating functions. | |
4209 | */ | |
8e79468d BK |
4210 | template<typename _UniformRandomNumberGenerator> |
4211 | result_type | |
f9b09dec | 4212 | operator()(_UniformRandomNumberGenerator& __urng); |
8e79468d BK |
4213 | |
4214 | template<typename _UniformRandomNumberGenerator> | |
4215 | result_type | |
4216 | operator()(_UniformRandomNumberGenerator& __urng, | |
4217 | const param_type& __p); | |
4218 | ||
7b93bdde UD |
4219 | template<typename _ForwardIterator, |
4220 | typename _UniformRandomNumberGenerator> | |
4221 | void | |
4222 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4223 | _UniformRandomNumberGenerator& __urng) | |
4224 | { this->__generate_impl(__f, __t, __urng); } | |
4225 | ||
4226 | template<typename _ForwardIterator, | |
4227 | typename _UniformRandomNumberGenerator> | |
4228 | void | |
4229 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4230 | _UniformRandomNumberGenerator& __urng, | |
4231 | const param_type& __p) | |
4232 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4233 | ||
4234 | template<typename _UniformRandomNumberGenerator> | |
4235 | void | |
4236 | __generate(result_type* __f, result_type* __t, | |
4237 | _UniformRandomNumberGenerator& __urng) | |
4238 | { this->__generate_impl(__f, __t, __urng); } | |
4239 | ||
4240 | template<typename _UniformRandomNumberGenerator> | |
4241 | void | |
4242 | __generate(result_type* __f, result_type* __t, | |
4243 | _UniformRandomNumberGenerator& __urng, | |
4244 | const param_type& __p) | |
4245 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4246 | ||
fc05e1ba PC |
4247 | /** |
4248 | * @brief Return true if two negative binomial distributions have | |
4249 | * the same parameters and the sequences that would be | |
4250 | * generated are equal. | |
4251 | */ | |
a30e18c1 MG |
4252 | friend bool |
4253 | operator==(const negative_binomial_distribution& __d1, | |
4254 | const negative_binomial_distribution& __d2) | |
5bcb3b4d | 4255 | { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; } |
fc05e1ba | 4256 | |
e1923769 ESR |
4257 | /** |
4258 | * @brief Inserts a %negative_binomial_distribution random | |
4259 | * number distribution @p __x into the output stream @p __os. | |
4260 | * | |
4261 | * @param __os An output stream. | |
4262 | * @param __x A %negative_binomial_distribution random number | |
4263 | * distribution. | |
4264 | * | |
4265 | * @returns The output stream with the state of @p __x inserted or in | |
4266 | * an error state. | |
4267 | */ | |
4268 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4269 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4270 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4271 | const std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 ESR |
4272 | |
4273 | /** | |
4274 | * @brief Extracts a %negative_binomial_distribution random number | |
4275 | * distribution @p __x from the input stream @p __is. | |
4276 | * | |
4277 | * @param __is An input stream. | |
4278 | * @param __x A %negative_binomial_distribution random number | |
4279 | * generator engine. | |
4280 | * | |
4281 | * @returns The input stream with @p __x extracted or in an error state. | |
4282 | */ | |
4283 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4284 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4285 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4286 | std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 | 4287 | |
8e79468d | 4288 | private: |
7b93bdde UD |
4289 | template<typename _ForwardIterator, |
4290 | typename _UniformRandomNumberGenerator> | |
4291 | void | |
4292 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4293 | _UniformRandomNumberGenerator& __urng); | |
4294 | template<typename _ForwardIterator, | |
4295 | typename _UniformRandomNumberGenerator> | |
4296 | void | |
4297 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4298 | _UniformRandomNumberGenerator& __urng, | |
4299 | const param_type& __p); | |
4300 | ||
8e79468d | 4301 | param_type _M_param; |
f9b09dec PC |
4302 | |
4303 | std::gamma_distribution<double> _M_gd; | |
8e79468d BK |
4304 | }; |
4305 | ||
fc05e1ba PC |
4306 | /** |
4307 | * @brief Return true if two negative binomial distributions are different. | |
4308 | */ | |
4309 | template<typename _IntType> | |
4310 | inline bool | |
4311 | operator!=(const std::negative_binomial_distribution<_IntType>& __d1, | |
4312 | const std::negative_binomial_distribution<_IntType>& __d2) | |
4313 | { return !(__d1 == __d2); } | |
4314 | ||
4315 | ||
037181bc | 4316 | /* @} */ // group random_distributions_bernoulli |
8e79468d BK |
4317 | |
4318 | /** | |
94a86be0 | 4319 | * @addtogroup random_distributions_poisson Poisson Distributions |
037181bc | 4320 | * @ingroup random_distributions |
8e79468d BK |
4321 | * @{ |
4322 | */ | |
4323 | ||
4324 | /** | |
4325 | * @brief A discrete Poisson random number distribution. | |
4326 | * | |
4327 | * The formula for the Poisson probability density function is | |
6cc5a790 | 4328 | * @f$p(i|\mu) = \frac{\mu^i}{i!} e^{-\mu}@f$ where @f$\mu@f$ is the |
8e79468d BK |
4329 | * parameter of the distribution. |
4330 | */ | |
4331 | template<typename _IntType = int> | |
4332 | class poisson_distribution | |
4333 | { | |
77e3c516 | 4334 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 4335 | "result_type must be an integral type"); |
8e79468d BK |
4336 | |
4337 | public: | |
4338 | /** The type of the range of the distribution. */ | |
4339 | typedef _IntType result_type; | |
12905f10 | 4340 | |
8e79468d BK |
4341 | /** Parameter type. */ |
4342 | struct param_type | |
4343 | { | |
4344 | typedef poisson_distribution<_IntType> distribution_type; | |
4345 | friend class poisson_distribution<_IntType>; | |
4346 | ||
4347 | explicit | |
4348 | param_type(double __mean = 1.0) | |
4349 | : _M_mean(__mean) | |
4350 | { | |
2f1e8e7c | 4351 | __glibcxx_assert(_M_mean > 0.0); |
8e79468d BK |
4352 | _M_initialize(); |
4353 | } | |
4354 | ||
4355 | double | |
4356 | mean() const | |
4357 | { return _M_mean; } | |
4358 | ||
fc05e1ba PC |
4359 | friend bool |
4360 | operator==(const param_type& __p1, const param_type& __p2) | |
4361 | { return __p1._M_mean == __p2._M_mean; } | |
4362 | ||
12905f10 JW |
4363 | friend bool |
4364 | operator!=(const param_type& __p1, const param_type& __p2) | |
4365 | { return !(__p1 == __p2); } | |
4366 | ||
8e79468d BK |
4367 | private: |
4368 | // Hosts either log(mean) or the threshold of the simple method. | |
4369 | void | |
4370 | _M_initialize(); | |
4371 | ||
4372 | double _M_mean; | |
4373 | ||
4374 | double _M_lm_thr; | |
4375 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
4376 | double _M_lfm, _M_sm, _M_d, _M_scx, _M_1cx, _M_c2b, _M_cb; | |
4377 | #endif | |
4378 | }; | |
4379 | ||
4380 | // constructors and member function | |
4381 | explicit | |
4382 | poisson_distribution(double __mean = 1.0) | |
4383 | : _M_param(__mean), _M_nd() | |
4384 | { } | |
4385 | ||
4386 | explicit | |
4387 | poisson_distribution(const param_type& __p) | |
4388 | : _M_param(__p), _M_nd() | |
4389 | { } | |
4390 | ||
4391 | /** | |
4392 | * @brief Resets the distribution state. | |
4393 | */ | |
4394 | void | |
4395 | reset() | |
4396 | { _M_nd.reset(); } | |
4397 | ||
4398 | /** | |
4399 | * @brief Returns the distribution parameter @p mean. | |
4400 | */ | |
4401 | double | |
4402 | mean() const | |
4403 | { return _M_param.mean(); } | |
4404 | ||
4405 | /** | |
4406 | * @brief Returns the parameter set of the distribution. | |
4407 | */ | |
4408 | param_type | |
4409 | param() const | |
4410 | { return _M_param; } | |
4411 | ||
4412 | /** | |
4413 | * @brief Sets the parameter set of the distribution. | |
4414 | * @param __param The new parameter set of the distribution. | |
4415 | */ | |
4416 | void | |
4417 | param(const param_type& __param) | |
4418 | { _M_param = __param; } | |
4419 | ||
4420 | /** | |
4421 | * @brief Returns the greatest lower bound value of the distribution. | |
4422 | */ | |
4423 | result_type | |
4424 | min() const | |
4425 | { return 0; } | |
4426 | ||
4427 | /** | |
4428 | * @brief Returns the least upper bound value of the distribution. | |
4429 | */ | |
4430 | result_type | |
4431 | max() const | |
4432 | { return std::numeric_limits<result_type>::max(); } | |
4433 | ||
247d8075 PC |
4434 | /** |
4435 | * @brief Generating functions. | |
4436 | */ | |
8e79468d BK |
4437 | template<typename _UniformRandomNumberGenerator> |
4438 | result_type | |
4439 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4440 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4441 | |
4442 | template<typename _UniformRandomNumberGenerator> | |
4443 | result_type | |
4444 | operator()(_UniformRandomNumberGenerator& __urng, | |
4445 | const param_type& __p); | |
4446 | ||
7b93bdde UD |
4447 | template<typename _ForwardIterator, |
4448 | typename _UniformRandomNumberGenerator> | |
4449 | void | |
4450 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4451 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4452 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4453 | |
4454 | template<typename _ForwardIterator, | |
4455 | typename _UniformRandomNumberGenerator> | |
4456 | void | |
4457 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4458 | _UniformRandomNumberGenerator& __urng, | |
4459 | const param_type& __p) | |
4460 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4461 | ||
4462 | template<typename _UniformRandomNumberGenerator> | |
4463 | void | |
4464 | __generate(result_type* __f, result_type* __t, | |
4465 | _UniformRandomNumberGenerator& __urng, | |
4466 | const param_type& __p) | |
4467 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4468 | ||
fc05e1ba PC |
4469 | /** |
4470 | * @brief Return true if two Poisson distributions have the same | |
4471 | * parameters and the sequences that would be generated | |
4472 | * are equal. | |
4473 | */ | |
a30e18c1 MG |
4474 | friend bool |
4475 | operator==(const poisson_distribution& __d1, | |
4476 | const poisson_distribution& __d2) | |
fc05e1ba | 4477 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
5bcb3b4d | 4478 | { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 4479 | #else |
5bcb3b4d | 4480 | { return __d1._M_param == __d2._M_param; } |
fc05e1ba PC |
4481 | #endif |
4482 | ||
8e79468d BK |
4483 | /** |
4484 | * @brief Inserts a %poisson_distribution random number distribution | |
4485 | * @p __x into the output stream @p __os. | |
4486 | * | |
4487 | * @param __os An output stream. | |
4488 | * @param __x A %poisson_distribution random number distribution. | |
4489 | * | |
4490 | * @returns The output stream with the state of @p __x inserted or in | |
4491 | * an error state. | |
4492 | */ | |
4493 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4494 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4495 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4496 | const std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4497 | |
4498 | /** | |
4499 | * @brief Extracts a %poisson_distribution random number distribution | |
4500 | * @p __x from the input stream @p __is. | |
4501 | * | |
4502 | * @param __is An input stream. | |
4503 | * @param __x A %poisson_distribution random number generator engine. | |
4504 | * | |
4505 | * @returns The input stream with @p __x extracted or in an error | |
4506 | * state. | |
4507 | */ | |
4508 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4509 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4510 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4511 | std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4512 | |
4513 | private: | |
7b93bdde UD |
4514 | template<typename _ForwardIterator, |
4515 | typename _UniformRandomNumberGenerator> | |
4516 | void | |
4517 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4518 | _UniformRandomNumberGenerator& __urng, | |
4519 | const param_type& __p); | |
4520 | ||
8e79468d BK |
4521 | param_type _M_param; |
4522 | ||
4523 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 4524 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
4525 | }; |
4526 | ||
fc05e1ba PC |
4527 | /** |
4528 | * @brief Return true if two Poisson distributions are different. | |
4529 | */ | |
4530 | template<typename _IntType> | |
4531 | inline bool | |
4532 | operator!=(const std::poisson_distribution<_IntType>& __d1, | |
4533 | const std::poisson_distribution<_IntType>& __d2) | |
4534 | { return !(__d1 == __d2); } | |
4535 | ||
4536 | ||
8e79468d BK |
4537 | /** |
4538 | * @brief An exponential continuous distribution for random numbers. | |
4539 | * | |
4540 | * The formula for the exponential probability density function is | |
6cc5a790 | 4541 | * @f$p(x|\lambda) = \lambda e^{-\lambda x}@f$. |
8e79468d BK |
4542 | * |
4543 | * <table border=1 cellpadding=10 cellspacing=0> | |
4544 | * <caption align=top>Distribution Statistics</caption> | |
6cc5a790 BK |
4545 | * <tr><td>Mean</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
4546 | * <tr><td>Median</td><td>@f$\frac{\ln 2}{\lambda}@f$</td></tr> | |
4547 | * <tr><td>Mode</td><td>@f$zero@f$</td></tr> | |
8e79468d | 4548 | * <tr><td>Range</td><td>@f$[0, \infty]@f$</td></tr> |
6cc5a790 | 4549 | * <tr><td>Standard Deviation</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
8e79468d BK |
4550 | * </table> |
4551 | */ | |
4552 | template<typename _RealType = double> | |
4553 | class exponential_distribution | |
4554 | { | |
77e3c516 | 4555 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 4556 | "result_type must be a floating point type"); |
77e3c516 | 4557 | |
8e79468d BK |
4558 | public: |
4559 | /** The type of the range of the distribution. */ | |
4560 | typedef _RealType result_type; | |
12905f10 | 4561 | |
8e79468d BK |
4562 | /** Parameter type. */ |
4563 | struct param_type | |
4564 | { | |
4565 | typedef exponential_distribution<_RealType> distribution_type; | |
4566 | ||
4567 | explicit | |
4568 | param_type(_RealType __lambda = _RealType(1)) | |
4569 | : _M_lambda(__lambda) | |
4570 | { | |
2f1e8e7c | 4571 | __glibcxx_assert(_M_lambda > _RealType(0)); |
8e79468d BK |
4572 | } |
4573 | ||
4574 | _RealType | |
4575 | lambda() const | |
4576 | { return _M_lambda; } | |
4577 | ||
fc05e1ba PC |
4578 | friend bool |
4579 | operator==(const param_type& __p1, const param_type& __p2) | |
4580 | { return __p1._M_lambda == __p2._M_lambda; } | |
4581 | ||
12905f10 JW |
4582 | friend bool |
4583 | operator!=(const param_type& __p1, const param_type& __p2) | |
4584 | { return !(__p1 == __p2); } | |
4585 | ||
8e79468d BK |
4586 | private: |
4587 | _RealType _M_lambda; | |
4588 | }; | |
4589 | ||
4590 | public: | |
4591 | /** | |
4592 | * @brief Constructs an exponential distribution with inverse scale | |
6cc5a790 | 4593 | * parameter @f$\lambda@f$. |
8e79468d BK |
4594 | */ |
4595 | explicit | |
4596 | exponential_distribution(const result_type& __lambda = result_type(1)) | |
4597 | : _M_param(__lambda) | |
4598 | { } | |
4599 | ||
4600 | explicit | |
4601 | exponential_distribution(const param_type& __p) | |
4602 | : _M_param(__p) | |
4603 | { } | |
4604 | ||
4605 | /** | |
4606 | * @brief Resets the distribution state. | |
4607 | * | |
4608 | * Has no effect on exponential distributions. | |
4609 | */ | |
4610 | void | |
4611 | reset() { } | |
4612 | ||
4613 | /** | |
4614 | * @brief Returns the inverse scale parameter of the distribution. | |
4615 | */ | |
4616 | _RealType | |
4617 | lambda() const | |
4618 | { return _M_param.lambda(); } | |
4619 | ||
4620 | /** | |
4621 | * @brief Returns the parameter set of the distribution. | |
4622 | */ | |
4623 | param_type | |
4624 | param() const | |
4625 | { return _M_param; } | |
4626 | ||
4627 | /** | |
4628 | * @brief Sets the parameter set of the distribution. | |
4629 | * @param __param The new parameter set of the distribution. | |
4630 | */ | |
4631 | void | |
4632 | param(const param_type& __param) | |
4633 | { _M_param = __param; } | |
4634 | ||
4635 | /** | |
4636 | * @brief Returns the greatest lower bound value of the distribution. | |
4637 | */ | |
4638 | result_type | |
4639 | min() const | |
4640 | { return result_type(0); } | |
4641 | ||
4642 | /** | |
4643 | * @brief Returns the least upper bound value of the distribution. | |
4644 | */ | |
4645 | result_type | |
4646 | max() const | |
4647 | { return std::numeric_limits<result_type>::max(); } | |
4648 | ||
247d8075 PC |
4649 | /** |
4650 | * @brief Generating functions. | |
4651 | */ | |
8e79468d BK |
4652 | template<typename _UniformRandomNumberGenerator> |
4653 | result_type | |
4654 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4655 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4656 | |
4657 | template<typename _UniformRandomNumberGenerator> | |
4658 | result_type | |
4659 | operator()(_UniformRandomNumberGenerator& __urng, | |
4660 | const param_type& __p) | |
4661 | { | |
4662 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
4663 | __aurng(__urng); | |
c2d9083d | 4664 | return -std::log(result_type(1) - __aurng()) / __p.lambda(); |
8e79468d BK |
4665 | } |
4666 | ||
7b93bdde UD |
4667 | template<typename _ForwardIterator, |
4668 | typename _UniformRandomNumberGenerator> | |
4669 | void | |
4670 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4671 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4672 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4673 | |
4674 | template<typename _ForwardIterator, | |
4675 | typename _UniformRandomNumberGenerator> | |
4676 | void | |
4677 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4678 | _UniformRandomNumberGenerator& __urng, | |
4679 | const param_type& __p) | |
4680 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4681 | ||
4682 | template<typename _UniformRandomNumberGenerator> | |
4683 | void | |
4684 | __generate(result_type* __f, result_type* __t, | |
4685 | _UniformRandomNumberGenerator& __urng, | |
4686 | const param_type& __p) | |
4687 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4688 | ||
5bcb3b4d PC |
4689 | /** |
4690 | * @brief Return true if two exponential distributions have the same | |
4691 | * parameters. | |
4692 | */ | |
4693 | friend bool | |
4694 | operator==(const exponential_distribution& __d1, | |
4695 | const exponential_distribution& __d2) | |
4696 | { return __d1._M_param == __d2._M_param; } | |
4697 | ||
8e79468d | 4698 | private: |
7b93bdde UD |
4699 | template<typename _ForwardIterator, |
4700 | typename _UniformRandomNumberGenerator> | |
4701 | void | |
4702 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4703 | _UniformRandomNumberGenerator& __urng, | |
4704 | const param_type& __p); | |
4705 | ||
8e79468d BK |
4706 | param_type _M_param; |
4707 | }; | |
4708 | ||
fc05e1ba PC |
4709 | /** |
4710 | * @brief Return true if two exponential distributions have different | |
4711 | * parameters. | |
4712 | */ | |
4713 | template<typename _RealType> | |
4714 | inline bool | |
4715 | operator!=(const std::exponential_distribution<_RealType>& __d1, | |
4716 | const std::exponential_distribution<_RealType>& __d2) | |
4717 | { return !(__d1 == __d2); } | |
4718 | ||
8e79468d BK |
4719 | /** |
4720 | * @brief Inserts a %exponential_distribution random number distribution | |
4721 | * @p __x into the output stream @p __os. | |
4722 | * | |
4723 | * @param __os An output stream. | |
4724 | * @param __x A %exponential_distribution random number distribution. | |
4725 | * | |
4726 | * @returns The output stream with the state of @p __x inserted or in | |
4727 | * an error state. | |
4728 | */ | |
4729 | template<typename _RealType, typename _CharT, typename _Traits> | |
4730 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4731 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4732 | const std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4733 | |
4734 | /** | |
4735 | * @brief Extracts a %exponential_distribution random number distribution | |
4736 | * @p __x from the input stream @p __is. | |
4737 | * | |
4738 | * @param __is An input stream. | |
4739 | * @param __x A %exponential_distribution random number | |
4740 | * generator engine. | |
4741 | * | |
4742 | * @returns The input stream with @p __x extracted or in an error state. | |
4743 | */ | |
4744 | template<typename _RealType, typename _CharT, typename _Traits> | |
4745 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4746 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4747 | std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4748 | |
4749 | ||
8e79468d BK |
4750 | /** |
4751 | * @brief A weibull_distribution random number distribution. | |
4752 | * | |
6cc5a790 BK |
4753 | * The formula for the normal probability density function is: |
4754 | * @f[ | |
4755 | * p(x|\alpha,\beta) = \frac{\alpha}{\beta} (\frac{x}{\beta})^{\alpha-1} | |
4756 | * \exp{(-(\frac{x}{\beta})^\alpha)} | |
4757 | * @f] | |
8e79468d BK |
4758 | */ |
4759 | template<typename _RealType = double> | |
4760 | class weibull_distribution | |
4761 | { | |
77e3c516 | 4762 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 4763 | "result_type must be a floating point type"); |
77e3c516 | 4764 | |
8e79468d BK |
4765 | public: |
4766 | /** The type of the range of the distribution. */ | |
4767 | typedef _RealType result_type; | |
12905f10 | 4768 | |
8e79468d BK |
4769 | /** Parameter type. */ |
4770 | struct param_type | |
4771 | { | |
4772 | typedef weibull_distribution<_RealType> distribution_type; | |
4773 | ||
4774 | explicit | |
4775 | param_type(_RealType __a = _RealType(1), | |
4776 | _RealType __b = _RealType(1)) | |
4777 | : _M_a(__a), _M_b(__b) | |
4778 | { } | |
4779 | ||
4780 | _RealType | |
4781 | a() const | |
4782 | { return _M_a; } | |
4783 | ||
4784 | _RealType | |
4785 | b() const | |
4786 | { return _M_b; } | |
4787 | ||
fc05e1ba PC |
4788 | friend bool |
4789 | operator==(const param_type& __p1, const param_type& __p2) | |
4790 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
4791 | ||
12905f10 JW |
4792 | friend bool |
4793 | operator!=(const param_type& __p1, const param_type& __p2) | |
4794 | { return !(__p1 == __p2); } | |
4795 | ||
8e79468d BK |
4796 | private: |
4797 | _RealType _M_a; | |
4798 | _RealType _M_b; | |
4799 | }; | |
4800 | ||
4801 | explicit | |
4802 | weibull_distribution(_RealType __a = _RealType(1), | |
4803 | _RealType __b = _RealType(1)) | |
4804 | : _M_param(__a, __b) | |
4805 | { } | |
4806 | ||
4807 | explicit | |
4808 | weibull_distribution(const param_type& __p) | |
4809 | : _M_param(__p) | |
4810 | { } | |
4811 | ||
4812 | /** | |
4813 | * @brief Resets the distribution state. | |
4814 | */ | |
4815 | void | |
4816 | reset() | |
4817 | { } | |
4818 | ||
4819 | /** | |
6cc5a790 | 4820 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
4821 | */ |
4822 | _RealType | |
4823 | a() const | |
4824 | { return _M_param.a(); } | |
4825 | ||
4826 | /** | |
6cc5a790 | 4827 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
4828 | */ |
4829 | _RealType | |
4830 | b() const | |
4831 | { return _M_param.b(); } | |
4832 | ||
4833 | /** | |
4834 | * @brief Returns the parameter set of the distribution. | |
4835 | */ | |
4836 | param_type | |
4837 | param() const | |
4838 | { return _M_param; } | |
4839 | ||
4840 | /** | |
4841 | * @brief Sets the parameter set of the distribution. | |
4842 | * @param __param The new parameter set of the distribution. | |
4843 | */ | |
4844 | void | |
4845 | param(const param_type& __param) | |
4846 | { _M_param = __param; } | |
4847 | ||
4848 | /** | |
4849 | * @brief Returns the greatest lower bound value of the distribution. | |
4850 | */ | |
4851 | result_type | |
4852 | min() const | |
4853 | { return result_type(0); } | |
4854 | ||
4855 | /** | |
4856 | * @brief Returns the least upper bound value of the distribution. | |
4857 | */ | |
4858 | result_type | |
4859 | max() const | |
4860 | { return std::numeric_limits<result_type>::max(); } | |
4861 | ||
247d8075 PC |
4862 | /** |
4863 | * @brief Generating functions. | |
4864 | */ | |
8e79468d BK |
4865 | template<typename _UniformRandomNumberGenerator> |
4866 | result_type | |
4867 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4868 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
4869 | |
4870 | template<typename _UniformRandomNumberGenerator> | |
4871 | result_type | |
4872 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb | 4873 | const param_type& __p); |
8e79468d | 4874 | |
7b93bdde UD |
4875 | template<typename _ForwardIterator, |
4876 | typename _UniformRandomNumberGenerator> | |
4877 | void | |
4878 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4879 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 4880 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
4881 | |
4882 | template<typename _ForwardIterator, | |
4883 | typename _UniformRandomNumberGenerator> | |
4884 | void | |
4885 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4886 | _UniformRandomNumberGenerator& __urng, | |
4887 | const param_type& __p) | |
4888 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4889 | ||
4890 | template<typename _UniformRandomNumberGenerator> | |
4891 | void | |
4892 | __generate(result_type* __f, result_type* __t, | |
4893 | _UniformRandomNumberGenerator& __urng, | |
4894 | const param_type& __p) | |
4895 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4896 | ||
5bcb3b4d PC |
4897 | /** |
4898 | * @brief Return true if two Weibull distributions have the same | |
4899 | * parameters. | |
4900 | */ | |
4901 | friend bool | |
4902 | operator==(const weibull_distribution& __d1, | |
4903 | const weibull_distribution& __d2) | |
4904 | { return __d1._M_param == __d2._M_param; } | |
4905 | ||
8e79468d | 4906 | private: |
7b93bdde UD |
4907 | template<typename _ForwardIterator, |
4908 | typename _UniformRandomNumberGenerator> | |
4909 | void | |
4910 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4911 | _UniformRandomNumberGenerator& __urng, | |
4912 | const param_type& __p); | |
4913 | ||
8e79468d BK |
4914 | param_type _M_param; |
4915 | }; | |
4916 | ||
fc05e1ba PC |
4917 | /** |
4918 | * @brief Return true if two Weibull distributions have different | |
4919 | * parameters. | |
4920 | */ | |
4921 | template<typename _RealType> | |
4922 | inline bool | |
4923 | operator!=(const std::weibull_distribution<_RealType>& __d1, | |
4924 | const std::weibull_distribution<_RealType>& __d2) | |
4925 | { return !(__d1 == __d2); } | |
4926 | ||
8e79468d BK |
4927 | /** |
4928 | * @brief Inserts a %weibull_distribution random number distribution | |
4929 | * @p __x into the output stream @p __os. | |
4930 | * | |
4931 | * @param __os An output stream. | |
4932 | * @param __x A %weibull_distribution random number distribution. | |
4933 | * | |
4934 | * @returns The output stream with the state of @p __x inserted or in | |
4935 | * an error state. | |
4936 | */ | |
4937 | template<typename _RealType, typename _CharT, typename _Traits> | |
4938 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4939 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4940 | const std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
4941 | |
4942 | /** | |
4943 | * @brief Extracts a %weibull_distribution random number distribution | |
4944 | * @p __x from the input stream @p __is. | |
4945 | * | |
4946 | * @param __is An input stream. | |
4947 | * @param __x A %weibull_distribution random number | |
4948 | * generator engine. | |
4949 | * | |
4950 | * @returns The input stream with @p __x extracted or in an error state. | |
4951 | */ | |
4952 | template<typename _RealType, typename _CharT, typename _Traits> | |
4953 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4954 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4955 | std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
4956 | |
4957 | ||
4958 | /** | |
4959 | * @brief A extreme_value_distribution random number distribution. | |
4960 | * | |
4961 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
4962 | * @f[ |
4963 | * p(x|a,b) = \frac{1}{b} | |
4964 | * \exp( \frac{a-x}{b} - \exp(\frac{a-x}{b})) | |
4965 | * @f] | |
8e79468d BK |
4966 | */ |
4967 | template<typename _RealType = double> | |
4968 | class extreme_value_distribution | |
4969 | { | |
77e3c516 | 4970 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 4971 | "result_type must be a floating point type"); |
77e3c516 | 4972 | |
8e79468d BK |
4973 | public: |
4974 | /** The type of the range of the distribution. */ | |
4975 | typedef _RealType result_type; | |
12905f10 | 4976 | |
8e79468d BK |
4977 | /** Parameter type. */ |
4978 | struct param_type | |
4979 | { | |
4980 | typedef extreme_value_distribution<_RealType> distribution_type; | |
4981 | ||
4982 | explicit | |
4983 | param_type(_RealType __a = _RealType(0), | |
4984 | _RealType __b = _RealType(1)) | |
4985 | : _M_a(__a), _M_b(__b) | |
4986 | { } | |
4987 | ||
4988 | _RealType | |
4989 | a() const | |
4990 | { return _M_a; } | |
4991 | ||
4992 | _RealType | |
4993 | b() const | |
4994 | { return _M_b; } | |
4995 | ||
fc05e1ba PC |
4996 | friend bool |
4997 | operator==(const param_type& __p1, const param_type& __p2) | |
4998 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
4999 | ||
12905f10 JW |
5000 | friend bool |
5001 | operator!=(const param_type& __p1, const param_type& __p2) | |
5002 | { return !(__p1 == __p2); } | |
5003 | ||
8e79468d BK |
5004 | private: |
5005 | _RealType _M_a; | |
5006 | _RealType _M_b; | |
5007 | }; | |
5008 | ||
5009 | explicit | |
5010 | extreme_value_distribution(_RealType __a = _RealType(0), | |
5011 | _RealType __b = _RealType(1)) | |
5012 | : _M_param(__a, __b) | |
5013 | { } | |
5014 | ||
5015 | explicit | |
5016 | extreme_value_distribution(const param_type& __p) | |
5017 | : _M_param(__p) | |
5018 | { } | |
5019 | ||
5020 | /** | |
5021 | * @brief Resets the distribution state. | |
5022 | */ | |
5023 | void | |
5024 | reset() | |
5025 | { } | |
5026 | ||
5027 | /** | |
6cc5a790 | 5028 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
5029 | */ |
5030 | _RealType | |
5031 | a() const | |
5032 | { return _M_param.a(); } | |
5033 | ||
5034 | /** | |
6cc5a790 | 5035 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
5036 | */ |
5037 | _RealType | |
5038 | b() const | |
5039 | { return _M_param.b(); } | |
5040 | ||
5041 | /** | |
5042 | * @brief Returns the parameter set of the distribution. | |
5043 | */ | |
5044 | param_type | |
5045 | param() const | |
5046 | { return _M_param; } | |
5047 | ||
5048 | /** | |
5049 | * @brief Sets the parameter set of the distribution. | |
5050 | * @param __param The new parameter set of the distribution. | |
5051 | */ | |
5052 | void | |
5053 | param(const param_type& __param) | |
5054 | { _M_param = __param; } | |
5055 | ||
5056 | /** | |
5057 | * @brief Returns the greatest lower bound value of the distribution. | |
5058 | */ | |
5059 | result_type | |
5060 | min() const | |
a803975d | 5061 | { return std::numeric_limits<result_type>::lowest(); } |
8e79468d BK |
5062 | |
5063 | /** | |
5064 | * @brief Returns the least upper bound value of the distribution. | |
5065 | */ | |
5066 | result_type | |
5067 | max() const | |
5068 | { return std::numeric_limits<result_type>::max(); } | |
5069 | ||
247d8075 PC |
5070 | /** |
5071 | * @brief Generating functions. | |
5072 | */ | |
8e79468d BK |
5073 | template<typename _UniformRandomNumberGenerator> |
5074 | result_type | |
5075 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5076 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5077 | |
5078 | template<typename _UniformRandomNumberGenerator> | |
5079 | result_type | |
5080 | operator()(_UniformRandomNumberGenerator& __urng, | |
5081 | const param_type& __p); | |
5082 | ||
7b93bdde UD |
5083 | template<typename _ForwardIterator, |
5084 | typename _UniformRandomNumberGenerator> | |
5085 | void | |
5086 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5087 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5088 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5089 | |
5090 | template<typename _ForwardIterator, | |
5091 | typename _UniformRandomNumberGenerator> | |
5092 | void | |
5093 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5094 | _UniformRandomNumberGenerator& __urng, | |
5095 | const param_type& __p) | |
5096 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5097 | ||
5098 | template<typename _UniformRandomNumberGenerator> | |
5099 | void | |
5100 | __generate(result_type* __f, result_type* __t, | |
5101 | _UniformRandomNumberGenerator& __urng, | |
5102 | const param_type& __p) | |
5103 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5104 | ||
5bcb3b4d PC |
5105 | /** |
5106 | * @brief Return true if two extreme value distributions have the same | |
5107 | * parameters. | |
5108 | */ | |
5109 | friend bool | |
5110 | operator==(const extreme_value_distribution& __d1, | |
5111 | const extreme_value_distribution& __d2) | |
5112 | { return __d1._M_param == __d2._M_param; } | |
5113 | ||
8e79468d | 5114 | private: |
7b93bdde UD |
5115 | template<typename _ForwardIterator, |
5116 | typename _UniformRandomNumberGenerator> | |
5117 | void | |
5118 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5119 | _UniformRandomNumberGenerator& __urng, | |
5120 | const param_type& __p); | |
5121 | ||
8e79468d BK |
5122 | param_type _M_param; |
5123 | }; | |
5124 | ||
fc05e1ba PC |
5125 | /** |
5126 | * @brief Return true if two extreme value distributions have different | |
5127 | * parameters. | |
5128 | */ | |
5129 | template<typename _RealType> | |
5130 | inline bool | |
5131 | operator!=(const std::extreme_value_distribution<_RealType>& __d1, | |
5132 | const std::extreme_value_distribution<_RealType>& __d2) | |
5133 | { return !(__d1 == __d2); } | |
5134 | ||
8e79468d BK |
5135 | /** |
5136 | * @brief Inserts a %extreme_value_distribution random number distribution | |
5137 | * @p __x into the output stream @p __os. | |
5138 | * | |
5139 | * @param __os An output stream. | |
5140 | * @param __x A %extreme_value_distribution random number distribution. | |
5141 | * | |
5142 | * @returns The output stream with the state of @p __x inserted or in | |
5143 | * an error state. | |
5144 | */ | |
5145 | template<typename _RealType, typename _CharT, typename _Traits> | |
5146 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5147 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5148 | const std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5149 | |
5150 | /** | |
5151 | * @brief Extracts a %extreme_value_distribution random number | |
5152 | * distribution @p __x from the input stream @p __is. | |
5153 | * | |
5154 | * @param __is An input stream. | |
5155 | * @param __x A %extreme_value_distribution random number | |
5156 | * generator engine. | |
5157 | * | |
5158 | * @returns The input stream with @p __x extracted or in an error state. | |
5159 | */ | |
5160 | template<typename _RealType, typename _CharT, typename _Traits> | |
5161 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5162 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5163 | std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5164 | |
5165 | ||
5166 | /** | |
5167 | * @brief A discrete_distribution random number distribution. | |
5168 | * | |
5169 | * The formula for the discrete probability mass function is | |
5170 | * | |
5171 | */ | |
5172 | template<typename _IntType = int> | |
5173 | class discrete_distribution | |
5174 | { | |
77e3c516 | 5175 | static_assert(std::is_integral<_IntType>::value, |
0cded43d | 5176 | "result_type must be an integral type"); |
8e79468d BK |
5177 | |
5178 | public: | |
5179 | /** The type of the range of the distribution. */ | |
5180 | typedef _IntType result_type; | |
12905f10 | 5181 | |
8e79468d BK |
5182 | /** Parameter type. */ |
5183 | struct param_type | |
5184 | { | |
5185 | typedef discrete_distribution<_IntType> distribution_type; | |
5186 | friend class discrete_distribution<_IntType>; | |
5187 | ||
5188 | param_type() | |
879b9073 | 5189 | : _M_prob(), _M_cp() |
ce9555cb | 5190 | { } |
8e79468d BK |
5191 | |
5192 | template<typename _InputIterator> | |
5193 | param_type(_InputIterator __wbegin, | |
5194 | _InputIterator __wend) | |
5195 | : _M_prob(__wbegin, __wend), _M_cp() | |
5196 | { _M_initialize(); } | |
5197 | ||
5198 | param_type(initializer_list<double> __wil) | |
5199 | : _M_prob(__wil.begin(), __wil.end()), _M_cp() | |
5200 | { _M_initialize(); } | |
5201 | ||
5202 | template<typename _Func> | |
5203 | param_type(size_t __nw, double __xmin, double __xmax, | |
5204 | _Func __fw); | |
5205 | ||
ce9555cb PC |
5206 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5207 | param_type(const param_type&) = default; | |
5208 | param_type& operator=(const param_type&) = default; | |
5209 | ||
8e79468d BK |
5210 | std::vector<double> |
5211 | probabilities() const | |
879b9073 | 5212 | { return _M_prob.empty() ? std::vector<double>(1, 1.0) : _M_prob; } |
8e79468d | 5213 | |
fc05e1ba PC |
5214 | friend bool |
5215 | operator==(const param_type& __p1, const param_type& __p2) | |
5216 | { return __p1._M_prob == __p2._M_prob; } | |
5217 | ||
12905f10 JW |
5218 | friend bool |
5219 | operator!=(const param_type& __p1, const param_type& __p2) | |
5220 | { return !(__p1 == __p2); } | |
5221 | ||
8e79468d BK |
5222 | private: |
5223 | void | |
5224 | _M_initialize(); | |
5225 | ||
5226 | std::vector<double> _M_prob; | |
5227 | std::vector<double> _M_cp; | |
5228 | }; | |
5229 | ||
5230 | discrete_distribution() | |
5231 | : _M_param() | |
5232 | { } | |
5233 | ||
5234 | template<typename _InputIterator> | |
5235 | discrete_distribution(_InputIterator __wbegin, | |
5236 | _InputIterator __wend) | |
5237 | : _M_param(__wbegin, __wend) | |
5238 | { } | |
5239 | ||
f8dd9e0d PC |
5240 | discrete_distribution(initializer_list<double> __wl) |
5241 | : _M_param(__wl) | |
8e79468d BK |
5242 | { } |
5243 | ||
5244 | template<typename _Func> | |
5245 | discrete_distribution(size_t __nw, double __xmin, double __xmax, | |
5246 | _Func __fw) | |
5247 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5248 | { } | |
5249 | ||
5250 | explicit | |
5251 | discrete_distribution(const param_type& __p) | |
5252 | : _M_param(__p) | |
5253 | { } | |
5254 | ||
5255 | /** | |
5256 | * @brief Resets the distribution state. | |
5257 | */ | |
5258 | void | |
5259 | reset() | |
5260 | { } | |
5261 | ||
5262 | /** | |
5263 | * @brief Returns the probabilities of the distribution. | |
5264 | */ | |
5265 | std::vector<double> | |
5266 | probabilities() const | |
879b9073 PC |
5267 | { |
5268 | return _M_param._M_prob.empty() | |
5269 | ? std::vector<double>(1, 1.0) : _M_param._M_prob; | |
5270 | } | |
8e79468d BK |
5271 | |
5272 | /** | |
5273 | * @brief Returns the parameter set of the distribution. | |
5274 | */ | |
5275 | param_type | |
5276 | param() const | |
5277 | { return _M_param; } | |
5278 | ||
5279 | /** | |
5280 | * @brief Sets the parameter set of the distribution. | |
5281 | * @param __param The new parameter set of the distribution. | |
5282 | */ | |
5283 | void | |
5284 | param(const param_type& __param) | |
5285 | { _M_param = __param; } | |
5286 | ||
5287 | /** | |
5288 | * @brief Returns the greatest lower bound value of the distribution. | |
5289 | */ | |
5290 | result_type | |
5291 | min() const | |
5292 | { return result_type(0); } | |
5293 | ||
5294 | /** | |
5295 | * @brief Returns the least upper bound value of the distribution. | |
5296 | */ | |
5297 | result_type | |
5298 | max() const | |
879b9073 PC |
5299 | { |
5300 | return _M_param._M_prob.empty() | |
5301 | ? result_type(0) : result_type(_M_param._M_prob.size() - 1); | |
5302 | } | |
8e79468d | 5303 | |
247d8075 PC |
5304 | /** |
5305 | * @brief Generating functions. | |
5306 | */ | |
8e79468d BK |
5307 | template<typename _UniformRandomNumberGenerator> |
5308 | result_type | |
5309 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5310 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5311 | |
5312 | template<typename _UniformRandomNumberGenerator> | |
5313 | result_type | |
5314 | operator()(_UniformRandomNumberGenerator& __urng, | |
5315 | const param_type& __p); | |
5316 | ||
7b93bdde UD |
5317 | template<typename _ForwardIterator, |
5318 | typename _UniformRandomNumberGenerator> | |
5319 | void | |
5320 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5321 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5322 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5323 | |
5324 | template<typename _ForwardIterator, | |
5325 | typename _UniformRandomNumberGenerator> | |
5326 | void | |
5327 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5328 | _UniformRandomNumberGenerator& __urng, | |
5329 | const param_type& __p) | |
5330 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5331 | ||
5332 | template<typename _UniformRandomNumberGenerator> | |
5333 | void | |
5334 | __generate(result_type* __f, result_type* __t, | |
5335 | _UniformRandomNumberGenerator& __urng, | |
5336 | const param_type& __p) | |
5337 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5338 | ||
5bcb3b4d PC |
5339 | /** |
5340 | * @brief Return true if two discrete distributions have the same | |
5341 | * parameters. | |
5342 | */ | |
5343 | friend bool | |
5344 | operator==(const discrete_distribution& __d1, | |
5345 | const discrete_distribution& __d2) | |
5346 | { return __d1._M_param == __d2._M_param; } | |
5347 | ||
8e79468d BK |
5348 | /** |
5349 | * @brief Inserts a %discrete_distribution random number distribution | |
5350 | * @p __x into the output stream @p __os. | |
5351 | * | |
5352 | * @param __os An output stream. | |
5353 | * @param __x A %discrete_distribution random number distribution. | |
5354 | * | |
5355 | * @returns The output stream with the state of @p __x inserted or in | |
5356 | * an error state. | |
5357 | */ | |
5358 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5359 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5360 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5361 | const std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5362 | |
5363 | /** | |
5364 | * @brief Extracts a %discrete_distribution random number distribution | |
5365 | * @p __x from the input stream @p __is. | |
5366 | * | |
5367 | * @param __is An input stream. | |
5368 | * @param __x A %discrete_distribution random number | |
5369 | * generator engine. | |
5370 | * | |
5371 | * @returns The input stream with @p __x extracted or in an error | |
5372 | * state. | |
5373 | */ | |
5374 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5375 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5376 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5377 | std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5378 | |
5379 | private: | |
7b93bdde UD |
5380 | template<typename _ForwardIterator, |
5381 | typename _UniformRandomNumberGenerator> | |
5382 | void | |
5383 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5384 | _UniformRandomNumberGenerator& __urng, | |
5385 | const param_type& __p); | |
5386 | ||
8e79468d BK |
5387 | param_type _M_param; |
5388 | }; | |
5389 | ||
fc05e1ba PC |
5390 | /** |
5391 | * @brief Return true if two discrete distributions have different | |
5392 | * parameters. | |
5393 | */ | |
5394 | template<typename _IntType> | |
5395 | inline bool | |
5396 | operator!=(const std::discrete_distribution<_IntType>& __d1, | |
5397 | const std::discrete_distribution<_IntType>& __d2) | |
5398 | { return !(__d1 == __d2); } | |
5399 | ||
8e79468d BK |
5400 | |
5401 | /** | |
5402 | * @brief A piecewise_constant_distribution random number distribution. | |
5403 | * | |
5404 | * The formula for the piecewise constant probability mass function is | |
5405 | * | |
5406 | */ | |
5407 | template<typename _RealType = double> | |
5408 | class piecewise_constant_distribution | |
5409 | { | |
77e3c516 | 5410 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5411 | "result_type must be a floating point type"); |
77e3c516 | 5412 | |
8e79468d BK |
5413 | public: |
5414 | /** The type of the range of the distribution. */ | |
5415 | typedef _RealType result_type; | |
12905f10 | 5416 | |
8e79468d BK |
5417 | /** Parameter type. */ |
5418 | struct param_type | |
5419 | { | |
5420 | typedef piecewise_constant_distribution<_RealType> distribution_type; | |
5421 | friend class piecewise_constant_distribution<_RealType>; | |
5422 | ||
b01630bb | 5423 | param_type() |
879b9073 PC |
5424 | : _M_int(), _M_den(), _M_cp() |
5425 | { } | |
8e79468d BK |
5426 | |
5427 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5428 | param_type(_InputIteratorB __bfirst, | |
5429 | _InputIteratorB __bend, | |
5430 | _InputIteratorW __wbegin); | |
5431 | ||
5432 | template<typename _Func> | |
f8dd9e0d | 5433 | param_type(initializer_list<_RealType> __bi, _Func __fw); |
8e79468d BK |
5434 | |
5435 | template<typename _Func> | |
5436 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5437 | _Func __fw); | |
5438 | ||
ce9555cb PC |
5439 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5440 | param_type(const param_type&) = default; | |
5441 | param_type& operator=(const param_type&) = default; | |
5442 | ||
8e79468d BK |
5443 | std::vector<_RealType> |
5444 | intervals() const | |
879b9073 PC |
5445 | { |
5446 | if (_M_int.empty()) | |
5447 | { | |
5448 | std::vector<_RealType> __tmp(2); | |
5449 | __tmp[1] = _RealType(1); | |
5450 | return __tmp; | |
5451 | } | |
5452 | else | |
5453 | return _M_int; | |
5454 | } | |
8e79468d BK |
5455 | |
5456 | std::vector<double> | |
5457 | densities() const | |
879b9073 | 5458 | { return _M_den.empty() ? std::vector<double>(1, 1.0) : _M_den; } |
8e79468d | 5459 | |
fc05e1ba PC |
5460 | friend bool |
5461 | operator==(const param_type& __p1, const param_type& __p2) | |
5462 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } | |
5463 | ||
12905f10 JW |
5464 | friend bool |
5465 | operator!=(const param_type& __p1, const param_type& __p2) | |
5466 | { return !(__p1 == __p2); } | |
5467 | ||
8e79468d BK |
5468 | private: |
5469 | void | |
5470 | _M_initialize(); | |
5471 | ||
5472 | std::vector<_RealType> _M_int; | |
5473 | std::vector<double> _M_den; | |
5474 | std::vector<double> _M_cp; | |
5475 | }; | |
5476 | ||
5477 | explicit | |
5478 | piecewise_constant_distribution() | |
5479 | : _M_param() | |
5480 | { } | |
5481 | ||
5482 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5483 | piecewise_constant_distribution(_InputIteratorB __bfirst, | |
5484 | _InputIteratorB __bend, | |
5485 | _InputIteratorW __wbegin) | |
5486 | : _M_param(__bfirst, __bend, __wbegin) | |
5487 | { } | |
5488 | ||
5489 | template<typename _Func> | |
f8dd9e0d | 5490 | piecewise_constant_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5491 | _Func __fw) |
f8dd9e0d | 5492 | : _M_param(__bl, __fw) |
8e79468d BK |
5493 | { } |
5494 | ||
5495 | template<typename _Func> | |
5496 | piecewise_constant_distribution(size_t __nw, | |
5497 | _RealType __xmin, _RealType __xmax, | |
5498 | _Func __fw) | |
5499 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5500 | { } | |
5501 | ||
5502 | explicit | |
5503 | piecewise_constant_distribution(const param_type& __p) | |
5504 | : _M_param(__p) | |
5505 | { } | |
5506 | ||
5507 | /** | |
5508 | * @brief Resets the distribution state. | |
5509 | */ | |
5510 | void | |
5511 | reset() | |
5512 | { } | |
5513 | ||
5514 | /** | |
5515 | * @brief Returns a vector of the intervals. | |
5516 | */ | |
5517 | std::vector<_RealType> | |
5518 | intervals() const | |
879b9073 PC |
5519 | { |
5520 | if (_M_param._M_int.empty()) | |
5521 | { | |
5522 | std::vector<_RealType> __tmp(2); | |
5523 | __tmp[1] = _RealType(1); | |
5524 | return __tmp; | |
5525 | } | |
5526 | else | |
5527 | return _M_param._M_int; | |
5528 | } | |
8e79468d BK |
5529 | |
5530 | /** | |
5531 | * @brief Returns a vector of the probability densities. | |
5532 | */ | |
5533 | std::vector<double> | |
5534 | densities() const | |
879b9073 PC |
5535 | { |
5536 | return _M_param._M_den.empty() | |
5537 | ? std::vector<double>(1, 1.0) : _M_param._M_den; | |
5538 | } | |
8e79468d BK |
5539 | |
5540 | /** | |
5541 | * @brief Returns the parameter set of the distribution. | |
5542 | */ | |
5543 | param_type | |
5544 | param() const | |
5545 | { return _M_param; } | |
5546 | ||
5547 | /** | |
5548 | * @brief Sets the parameter set of the distribution. | |
5549 | * @param __param The new parameter set of the distribution. | |
5550 | */ | |
5551 | void | |
5552 | param(const param_type& __param) | |
5553 | { _M_param = __param; } | |
5554 | ||
5555 | /** | |
5556 | * @brief Returns the greatest lower bound value of the distribution. | |
5557 | */ | |
5558 | result_type | |
5559 | min() const | |
879b9073 PC |
5560 | { |
5561 | return _M_param._M_int.empty() | |
5562 | ? result_type(0) : _M_param._M_int.front(); | |
5563 | } | |
8e79468d BK |
5564 | |
5565 | /** | |
5566 | * @brief Returns the least upper bound value of the distribution. | |
5567 | */ | |
5568 | result_type | |
5569 | max() const | |
879b9073 PC |
5570 | { |
5571 | return _M_param._M_int.empty() | |
5572 | ? result_type(1) : _M_param._M_int.back(); | |
5573 | } | |
8e79468d | 5574 | |
247d8075 PC |
5575 | /** |
5576 | * @brief Generating functions. | |
5577 | */ | |
8e79468d BK |
5578 | template<typename _UniformRandomNumberGenerator> |
5579 | result_type | |
5580 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5581 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5582 | |
5583 | template<typename _UniformRandomNumberGenerator> | |
5584 | result_type | |
5585 | operator()(_UniformRandomNumberGenerator& __urng, | |
5586 | const param_type& __p); | |
5587 | ||
7b93bdde UD |
5588 | template<typename _ForwardIterator, |
5589 | typename _UniformRandomNumberGenerator> | |
5590 | void | |
5591 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5592 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5593 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5594 | |
5595 | template<typename _ForwardIterator, | |
5596 | typename _UniformRandomNumberGenerator> | |
5597 | void | |
5598 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5599 | _UniformRandomNumberGenerator& __urng, | |
5600 | const param_type& __p) | |
5601 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5602 | ||
5603 | template<typename _UniformRandomNumberGenerator> | |
5604 | void | |
5605 | __generate(result_type* __f, result_type* __t, | |
5606 | _UniformRandomNumberGenerator& __urng, | |
5607 | const param_type& __p) | |
5608 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5609 | ||
5bcb3b4d PC |
5610 | /** |
5611 | * @brief Return true if two piecewise constant distributions have the | |
5612 | * same parameters. | |
5613 | */ | |
5614 | friend bool | |
5615 | operator==(const piecewise_constant_distribution& __d1, | |
5616 | const piecewise_constant_distribution& __d2) | |
5617 | { return __d1._M_param == __d2._M_param; } | |
5618 | ||
8e79468d | 5619 | /** |
64e1ab11 | 5620 | * @brief Inserts a %piecewise_constant_distribution random |
8e79468d BK |
5621 | * number distribution @p __x into the output stream @p __os. |
5622 | * | |
5623 | * @param __os An output stream. | |
64e1ab11 | 5624 | * @param __x A %piecewise_constant_distribution random number |
8e79468d BK |
5625 | * distribution. |
5626 | * | |
5627 | * @returns The output stream with the state of @p __x inserted or in | |
5628 | * an error state. | |
5629 | */ | |
5630 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5631 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5632 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5633 | const std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5634 | |
5635 | /** | |
64e1ab11 | 5636 | * @brief Extracts a %piecewise_constant_distribution random |
8e79468d BK |
5637 | * number distribution @p __x from the input stream @p __is. |
5638 | * | |
5639 | * @param __is An input stream. | |
64e1ab11 | 5640 | * @param __x A %piecewise_constant_distribution random number |
8e79468d BK |
5641 | * generator engine. |
5642 | * | |
5643 | * @returns The input stream with @p __x extracted or in an error | |
5644 | * state. | |
5645 | */ | |
5646 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5647 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5648 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5649 | std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5650 | |
5651 | private: | |
7b93bdde UD |
5652 | template<typename _ForwardIterator, |
5653 | typename _UniformRandomNumberGenerator> | |
5654 | void | |
5655 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5656 | _UniformRandomNumberGenerator& __urng, | |
5657 | const param_type& __p); | |
5658 | ||
8e79468d BK |
5659 | param_type _M_param; |
5660 | }; | |
5661 | ||
fc05e1ba PC |
5662 | /** |
5663 | * @brief Return true if two piecewise constant distributions have | |
5664 | * different parameters. | |
5665 | */ | |
5666 | template<typename _RealType> | |
5667 | inline bool | |
5668 | operator!=(const std::piecewise_constant_distribution<_RealType>& __d1, | |
5669 | const std::piecewise_constant_distribution<_RealType>& __d2) | |
5670 | { return !(__d1 == __d2); } | |
5671 | ||
8e79468d BK |
5672 | |
5673 | /** | |
5674 | * @brief A piecewise_linear_distribution random number distribution. | |
5675 | * | |
5676 | * The formula for the piecewise linear probability mass function is | |
5677 | * | |
5678 | */ | |
5679 | template<typename _RealType = double> | |
5680 | class piecewise_linear_distribution | |
5681 | { | |
77e3c516 | 5682 | static_assert(std::is_floating_point<_RealType>::value, |
0cded43d | 5683 | "result_type must be a floating point type"); |
77e3c516 | 5684 | |
8e79468d BK |
5685 | public: |
5686 | /** The type of the range of the distribution. */ | |
5687 | typedef _RealType result_type; | |
12905f10 | 5688 | |
8e79468d BK |
5689 | /** Parameter type. */ |
5690 | struct param_type | |
5691 | { | |
5692 | typedef piecewise_linear_distribution<_RealType> distribution_type; | |
5693 | friend class piecewise_linear_distribution<_RealType>; | |
5694 | ||
f8dd9e0d | 5695 | param_type() |
879b9073 PC |
5696 | : _M_int(), _M_den(), _M_cp(), _M_m() |
5697 | { } | |
8e79468d BK |
5698 | |
5699 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5700 | param_type(_InputIteratorB __bfirst, | |
5701 | _InputIteratorB __bend, | |
5702 | _InputIteratorW __wbegin); | |
5703 | ||
5704 | template<typename _Func> | |
f8dd9e0d | 5705 | param_type(initializer_list<_RealType> __bl, _Func __fw); |
8e79468d BK |
5706 | |
5707 | template<typename _Func> | |
5708 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5709 | _Func __fw); | |
5710 | ||
ce9555cb PC |
5711 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5712 | param_type(const param_type&) = default; | |
5713 | param_type& operator=(const param_type&) = default; | |
5714 | ||
8e79468d BK |
5715 | std::vector<_RealType> |
5716 | intervals() const | |
879b9073 PC |
5717 | { |
5718 | if (_M_int.empty()) | |
5719 | { | |
5720 | std::vector<_RealType> __tmp(2); | |
5721 | __tmp[1] = _RealType(1); | |
5722 | return __tmp; | |
5723 | } | |
5724 | else | |
5725 | return _M_int; | |
5726 | } | |
8e79468d BK |
5727 | |
5728 | std::vector<double> | |
5729 | densities() const | |
879b9073 | 5730 | { return _M_den.empty() ? std::vector<double>(2, 1.0) : _M_den; } |
8e79468d | 5731 | |
fc05e1ba PC |
5732 | friend bool |
5733 | operator==(const param_type& __p1, const param_type& __p2) | |
12905f10 JW |
5734 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } |
5735 | ||
5736 | friend bool | |
5737 | operator!=(const param_type& __p1, const param_type& __p2) | |
5738 | { return !(__p1 == __p2); } | |
fc05e1ba | 5739 | |
8e79468d BK |
5740 | private: |
5741 | void | |
5742 | _M_initialize(); | |
5743 | ||
5744 | std::vector<_RealType> _M_int; | |
5745 | std::vector<double> _M_den; | |
5746 | std::vector<double> _M_cp; | |
5747 | std::vector<double> _M_m; | |
5748 | }; | |
5749 | ||
5750 | explicit | |
5751 | piecewise_linear_distribution() | |
5752 | : _M_param() | |
5753 | { } | |
5754 | ||
5755 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5756 | piecewise_linear_distribution(_InputIteratorB __bfirst, | |
5757 | _InputIteratorB __bend, | |
5758 | _InputIteratorW __wbegin) | |
5759 | : _M_param(__bfirst, __bend, __wbegin) | |
5760 | { } | |
5761 | ||
5762 | template<typename _Func> | |
f8dd9e0d | 5763 | piecewise_linear_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5764 | _Func __fw) |
f8dd9e0d | 5765 | : _M_param(__bl, __fw) |
8e79468d BK |
5766 | { } |
5767 | ||
5768 | template<typename _Func> | |
5769 | piecewise_linear_distribution(size_t __nw, | |
5770 | _RealType __xmin, _RealType __xmax, | |
5771 | _Func __fw) | |
5772 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5773 | { } | |
5774 | ||
5775 | explicit | |
5776 | piecewise_linear_distribution(const param_type& __p) | |
5777 | : _M_param(__p) | |
5778 | { } | |
5779 | ||
5780 | /** | |
5781 | * Resets the distribution state. | |
5782 | */ | |
5783 | void | |
5784 | reset() | |
5785 | { } | |
5786 | ||
5787 | /** | |
5788 | * @brief Return the intervals of the distribution. | |
5789 | */ | |
5790 | std::vector<_RealType> | |
5791 | intervals() const | |
879b9073 PC |
5792 | { |
5793 | if (_M_param._M_int.empty()) | |
5794 | { | |
5795 | std::vector<_RealType> __tmp(2); | |
5796 | __tmp[1] = _RealType(1); | |
5797 | return __tmp; | |
5798 | } | |
5799 | else | |
5800 | return _M_param._M_int; | |
5801 | } | |
8e79468d BK |
5802 | |
5803 | /** | |
5804 | * @brief Return a vector of the probability densities of the | |
5805 | * distribution. | |
5806 | */ | |
5807 | std::vector<double> | |
5808 | densities() const | |
879b9073 PC |
5809 | { |
5810 | return _M_param._M_den.empty() | |
5811 | ? std::vector<double>(2, 1.0) : _M_param._M_den; | |
5812 | } | |
8e79468d BK |
5813 | |
5814 | /** | |
5815 | * @brief Returns the parameter set of the distribution. | |
5816 | */ | |
5817 | param_type | |
5818 | param() const | |
5819 | { return _M_param; } | |
5820 | ||
5821 | /** | |
5822 | * @brief Sets the parameter set of the distribution. | |
5823 | * @param __param The new parameter set of the distribution. | |
5824 | */ | |
5825 | void | |
5826 | param(const param_type& __param) | |
5827 | { _M_param = __param; } | |
5828 | ||
5829 | /** | |
5830 | * @brief Returns the greatest lower bound value of the distribution. | |
5831 | */ | |
5832 | result_type | |
5833 | min() const | |
879b9073 PC |
5834 | { |
5835 | return _M_param._M_int.empty() | |
5836 | ? result_type(0) : _M_param._M_int.front(); | |
5837 | } | |
8e79468d BK |
5838 | |
5839 | /** | |
5840 | * @brief Returns the least upper bound value of the distribution. | |
5841 | */ | |
5842 | result_type | |
5843 | max() const | |
879b9073 PC |
5844 | { |
5845 | return _M_param._M_int.empty() | |
5846 | ? result_type(1) : _M_param._M_int.back(); | |
5847 | } | |
8e79468d | 5848 | |
247d8075 PC |
5849 | /** |
5850 | * @brief Generating functions. | |
5851 | */ | |
8e79468d BK |
5852 | template<typename _UniformRandomNumberGenerator> |
5853 | result_type | |
5854 | operator()(_UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5855 | { return this->operator()(__urng, _M_param); } |
8e79468d BK |
5856 | |
5857 | template<typename _UniformRandomNumberGenerator> | |
5858 | result_type | |
5859 | operator()(_UniformRandomNumberGenerator& __urng, | |
5860 | const param_type& __p); | |
5861 | ||
7b93bdde UD |
5862 | template<typename _ForwardIterator, |
5863 | typename _UniformRandomNumberGenerator> | |
5864 | void | |
5865 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5866 | _UniformRandomNumberGenerator& __urng) | |
5bcb3b4d | 5867 | { this->__generate(__f, __t, __urng, _M_param); } |
7b93bdde UD |
5868 | |
5869 | template<typename _ForwardIterator, | |
5870 | typename _UniformRandomNumberGenerator> | |
5871 | void | |
5872 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5873 | _UniformRandomNumberGenerator& __urng, | |
5874 | const param_type& __p) | |
5875 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5876 | ||
5877 | template<typename _UniformRandomNumberGenerator> | |
5878 | void | |
5879 | __generate(result_type* __f, result_type* __t, | |
5880 | _UniformRandomNumberGenerator& __urng, | |
5881 | const param_type& __p) | |
5882 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5883 | ||
5bcb3b4d PC |
5884 | /** |
5885 | * @brief Return true if two piecewise linear distributions have the | |
5886 | * same parameters. | |
5887 | */ | |
5888 | friend bool | |
5889 | operator==(const piecewise_linear_distribution& __d1, | |
5890 | const piecewise_linear_distribution& __d2) | |
5891 | { return __d1._M_param == __d2._M_param; } | |
5892 | ||
8e79468d BK |
5893 | /** |
5894 | * @brief Inserts a %piecewise_linear_distribution random number | |
5895 | * distribution @p __x into the output stream @p __os. | |
5896 | * | |
5897 | * @param __os An output stream. | |
5898 | * @param __x A %piecewise_linear_distribution random number | |
5899 | * distribution. | |
5900 | * | |
5901 | * @returns The output stream with the state of @p __x inserted or in | |
5902 | * an error state. | |
5903 | */ | |
5904 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5905 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5906 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5907 | const std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
5908 | |
5909 | /** | |
5910 | * @brief Extracts a %piecewise_linear_distribution random number | |
5911 | * distribution @p __x from the input stream @p __is. | |
5912 | * | |
5913 | * @param __is An input stream. | |
5914 | * @param __x A %piecewise_linear_distribution random number | |
5915 | * generator engine. | |
5916 | * | |
5917 | * @returns The input stream with @p __x extracted or in an error | |
5918 | * state. | |
5919 | */ | |
5920 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5921 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5922 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5923 | std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
5924 | |
5925 | private: | |
7b93bdde UD |
5926 | template<typename _ForwardIterator, |
5927 | typename _UniformRandomNumberGenerator> | |
5928 | void | |
5929 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5930 | _UniformRandomNumberGenerator& __urng, | |
5931 | const param_type& __p); | |
5932 | ||
8e79468d BK |
5933 | param_type _M_param; |
5934 | }; | |
5935 | ||
fc05e1ba PC |
5936 | /** |
5937 | * @brief Return true if two piecewise linear distributions have | |
5938 | * different parameters. | |
5939 | */ | |
5940 | template<typename _RealType> | |
5941 | inline bool | |
5942 | operator!=(const std::piecewise_linear_distribution<_RealType>& __d1, | |
5943 | const std::piecewise_linear_distribution<_RealType>& __d2) | |
5944 | { return !(__d1 == __d2); } | |
5945 | ||
8e79468d | 5946 | |
037181bc | 5947 | /* @} */ // group random_distributions_poisson |
8e79468d | 5948 | |
037181bc | 5949 | /* @} */ // group random_distributions |
8e79468d BK |
5950 | |
5951 | /** | |
037181bc BK |
5952 | * @addtogroup random_utilities Random Number Utilities |
5953 | * @ingroup random | |
8e79468d BK |
5954 | * @{ |
5955 | */ | |
5956 | ||
5957 | /** | |
5958 | * @brief The seed_seq class generates sequences of seeds for random | |
5959 | * number generators. | |
5960 | */ | |
5961 | class seed_seq | |
5962 | { | |
8e79468d BK |
5963 | public: |
5964 | /** The type of the seed vales. */ | |
5965 | typedef uint_least32_t result_type; | |
5966 | ||
5967 | /** Default constructor. */ | |
9933eb86 | 5968 | seed_seq() noexcept |
8e79468d BK |
5969 | : _M_v() |
5970 | { } | |
5971 | ||
5972 | template<typename _IntType> | |
5973 | seed_seq(std::initializer_list<_IntType> il); | |
5974 | ||
5975 | template<typename _InputIterator> | |
5976 | seed_seq(_InputIterator __begin, _InputIterator __end); | |
5977 | ||
5978 | // generating functions | |
5979 | template<typename _RandomAccessIterator> | |
5980 | void | |
5981 | generate(_RandomAccessIterator __begin, _RandomAccessIterator __end); | |
5982 | ||
5983 | // property functions | |
9933eb86 | 5984 | size_t size() const noexcept |
8e79468d BK |
5985 | { return _M_v.size(); } |
5986 | ||
5987 | template<typename OutputIterator> | |
5988 | void | |
5989 | param(OutputIterator __dest) const | |
5990 | { std::copy(_M_v.begin(), _M_v.end(), __dest); } | |
5991 | ||
d747ee05 JW |
5992 | // no copy functions |
5993 | seed_seq(const seed_seq&) = delete; | |
5994 | seed_seq& operator=(const seed_seq&) = delete; | |
5995 | ||
8e79468d | 5996 | private: |
94986f6d | 5997 | std::vector<result_type> _M_v; |
8e79468d BK |
5998 | }; |
5999 | ||
037181bc | 6000 | /* @} */ // group random_utilities |
8e79468d | 6001 | |
037181bc | 6002 | /* @} */ // group random |
12ffa228 BK |
6003 | |
6004 | _GLIBCXX_END_NAMESPACE_VERSION | |
6005 | } // namespace std | |
8e79468d | 6006 | |
06f29237 | 6007 | #endif |