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1 | // random number generation -*- C++ -*- |
2 | ||
d9c257a7 | 3 | // Copyright (C) 2009, 2010, 2011, 2012 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 BK |
34 | #include <vector> |
35 | ||
12ffa228 BK |
36 | namespace std _GLIBCXX_VISIBILITY(default) |
37 | { | |
38 | _GLIBCXX_BEGIN_NAMESPACE_VERSION | |
53dc5044 | 39 | |
8e79468d BK |
40 | // [26.4] Random number generation |
41 | ||
42 | /** | |
037181bc BK |
43 | * @defgroup random Random Number Generation |
44 | * @ingroup numerics | |
45 | * | |
8e79468d BK |
46 | * A facility for generating random numbers on selected distributions. |
47 | * @{ | |
48 | */ | |
49 | ||
50 | /** | |
51 | * @brief A function template for converting the output of a (integral) | |
52 | * uniform random number generator to a floatng point result in the range | |
53 | * [0-1). | |
54 | */ | |
55 | template<typename _RealType, size_t __bits, | |
56 | typename _UniformRandomNumberGenerator> | |
57 | _RealType | |
58 | generate_canonical(_UniformRandomNumberGenerator& __g); | |
59 | ||
12ffa228 BK |
60 | _GLIBCXX_END_NAMESPACE_VERSION |
61 | ||
8e79468d BK |
62 | /* |
63 | * Implementation-space details. | |
64 | */ | |
65 | namespace __detail | |
66 | { | |
12ffa228 BK |
67 | _GLIBCXX_BEGIN_NAMESPACE_VERSION |
68 | ||
8e79468d | 69 | template<typename _UIntType, size_t __w, |
95fe602e PC |
70 | bool = __w < static_cast<size_t> |
71 | (std::numeric_limits<_UIntType>::digits)> | |
8e79468d BK |
72 | struct _Shift |
73 | { static const _UIntType __value = 0; }; | |
74 | ||
75 | template<typename _UIntType, size_t __w> | |
76 | struct _Shift<_UIntType, __w, true> | |
77 | { static const _UIntType __value = _UIntType(1) << __w; }; | |
78 | ||
cf48c255 MG |
79 | template<int __s, |
80 | int __which = ((__s <= __CHAR_BIT__ * sizeof (int)) | |
81 | + (__s <= __CHAR_BIT__ * sizeof (long)) | |
82 | + (__s <= __CHAR_BIT__ * sizeof (long long)) | |
83 | /* assume long long no bigger than __int128 */ | |
84 | + (__s <= 128))> | |
85 | struct _Select_uint_least_t | |
86 | { | |
87 | static_assert(__which < 0, /* needs to be dependent */ | |
88 | "sorry, would be too much trouble for a slow result"); | |
89 | }; | |
90 | ||
91 | template<int __s> | |
92 | struct _Select_uint_least_t<__s, 4> | |
93 | { typedef unsigned int type; }; | |
94 | ||
95 | template<int __s> | |
96 | struct _Select_uint_least_t<__s, 3> | |
97 | { typedef unsigned long type; }; | |
98 | ||
99 | template<int __s> | |
100 | struct _Select_uint_least_t<__s, 2> | |
101 | { typedef unsigned long long type; }; | |
102 | ||
103 | #ifdef _GLIBCXX_USE_INT128 | |
104 | template<int __s> | |
105 | struct _Select_uint_least_t<__s, 1> | |
106 | { typedef unsigned __int128 type; }; | |
107 | #endif | |
108 | ||
109 | // Assume a != 0, a < m, c < m, x < m. | |
110 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c, | |
111 | bool __big_enough = (!(__m & (__m - 1)) | |
112 | || (_Tp(-1) - __c) / __a >= __m - 1), | |
113 | bool __schrage_ok = __m % __a < __m / __a> | |
114 | struct _Mod | |
115 | { | |
116 | typedef typename _Select_uint_least_t<std::__lg(__a) | |
117 | + std::__lg(__m) + 2>::type _Tp2; | |
118 | static _Tp | |
119 | __calc(_Tp __x) | |
120 | { return static_cast<_Tp>((_Tp2(__a) * __x + __c) % __m); } | |
121 | }; | |
122 | ||
123 | // Schrage. | |
124 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c> | |
125 | struct _Mod<_Tp, __m, __a, __c, false, true> | |
126 | { | |
127 | static _Tp | |
128 | __calc(_Tp __x); | |
129 | }; | |
130 | ||
131 | // Special cases: | |
132 | // - for m == 2^n or m == 0, unsigned integer overflow is safe. | |
133 | // - a * (m - 1) + c fits in _Tp, there is no overflow. | |
134 | template<typename _Tp, _Tp __m, _Tp __a, _Tp __c, bool __s> | |
135 | struct _Mod<_Tp, __m, __a, __c, true, __s> | |
136 | { | |
137 | static _Tp | |
138 | __calc(_Tp __x) | |
139 | { | |
140 | _Tp __res = __a * __x + __c; | |
141 | if (__m) | |
142 | __res %= __m; | |
143 | return __res; | |
144 | } | |
145 | }; | |
8e79468d | 146 | |
b94f4bef | 147 | template<typename _Tp, _Tp __m, _Tp __a = 1, _Tp __c = 0> |
8e79468d BK |
148 | inline _Tp |
149 | __mod(_Tp __x) | |
cf48c255 | 150 | { return _Mod<_Tp, __m, __a, __c>::__calc(__x); } |
8e79468d | 151 | |
48c7b524 UD |
152 | /* Determine whether number is a power of 2. */ |
153 | template<typename _Tp> | |
154 | inline bool | |
155 | _Power_of_2(_Tp __x) | |
156 | { | |
157 | return ((__x - 1) & __x) == 0; | |
158 | }; | |
159 | ||
8e79468d BK |
160 | /* |
161 | * An adaptor class for converting the output of any Generator into | |
162 | * the input for a specific Distribution. | |
163 | */ | |
164 | template<typename _Engine, typename _DInputType> | |
165 | struct _Adaptor | |
166 | { | |
167 | ||
168 | public: | |
169 | _Adaptor(_Engine& __g) | |
170 | : _M_g(__g) { } | |
171 | ||
172 | _DInputType | |
173 | min() const | |
9b88236b | 174 | { return _DInputType(0); } |
8e79468d BK |
175 | |
176 | _DInputType | |
177 | max() const | |
9b88236b | 178 | { return _DInputType(1); } |
8e79468d BK |
179 | |
180 | /* | |
181 | * Converts a value generated by the adapted random number generator | |
182 | * into a value in the input domain for the dependent random number | |
183 | * distribution. | |
8e79468d BK |
184 | */ |
185 | _DInputType | |
186 | operator()() | |
187 | { | |
9b88236b PC |
188 | return std::generate_canonical<_DInputType, |
189 | std::numeric_limits<_DInputType>::digits, | |
190 | _Engine>(_M_g); | |
8e79468d BK |
191 | } |
192 | ||
193 | private: | |
194 | _Engine& _M_g; | |
195 | }; | |
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196 | |
197 | _GLIBCXX_END_NAMESPACE_VERSION | |
8e79468d BK |
198 | } // namespace __detail |
199 | ||
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200 | _GLIBCXX_BEGIN_NAMESPACE_VERSION |
201 | ||
8e79468d | 202 | /** |
037181bc BK |
203 | * @addtogroup random_generators Random Number Generators |
204 | * @ingroup random | |
8e79468d BK |
205 | * |
206 | * These classes define objects which provide random or pseudorandom | |
207 | * numbers, either from a discrete or a continuous interval. The | |
208 | * random number generator supplied as a part of this library are | |
209 | * all uniform random number generators which provide a sequence of | |
210 | * random number uniformly distributed over their range. | |
211 | * | |
212 | * A number generator is a function object with an operator() that | |
213 | * takes zero arguments and returns a number. | |
214 | * | |
215 | * A compliant random number generator must satisfy the following | |
216 | * requirements. <table border=1 cellpadding=10 cellspacing=0> | |
217 | * <caption align=top>Random Number Generator Requirements</caption> | |
218 | * <tr><td>To be documented.</td></tr> </table> | |
219 | * | |
220 | * @{ | |
221 | */ | |
222 | ||
223 | /** | |
224 | * @brief A model of a linear congruential random number generator. | |
225 | * | |
6cc5a790 BK |
226 | * A random number generator that produces pseudorandom numbers via |
227 | * linear function: | |
228 | * @f[ | |
229 | * x_{i+1}\leftarrow(ax_{i} + c) \bmod m | |
230 | * @f] | |
8e79468d BK |
231 | * |
232 | * The template parameter @p _UIntType must be an unsigned integral type | |
233 | * large enough to store values up to (__m-1). If the template parameter | |
234 | * @p __m is 0, the modulus @p __m used is | |
235 | * std::numeric_limits<_UIntType>::max() plus 1. Otherwise, the template | |
236 | * parameters @p __a and @p __c must be less than @p __m. | |
237 | * | |
6cc5a790 | 238 | * The size of the state is @f$1@f$. |
8e79468d BK |
239 | */ |
240 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
241 | class linear_congruential_engine | |
242 | { | |
77e3c516 | 243 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 244 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 245 | static_assert(__m == 0u || (__a < __m && __c < __m), |
f6d08b43 | 246 | "template argument substituting __m out of bounds"); |
8e79468d BK |
247 | |
248 | public: | |
249 | /** The type of the generated random value. */ | |
250 | typedef _UIntType result_type; | |
251 | ||
252 | /** The multiplier. */ | |
94a86be0 | 253 | static constexpr result_type multiplier = __a; |
8e79468d | 254 | /** An increment. */ |
94a86be0 | 255 | static constexpr result_type increment = __c; |
8e79468d | 256 | /** The modulus. */ |
94a86be0 BK |
257 | static constexpr result_type modulus = __m; |
258 | static constexpr result_type default_seed = 1u; | |
8e79468d BK |
259 | |
260 | /** | |
261 | * @brief Constructs a %linear_congruential_engine random number | |
262 | * generator engine with seed @p __s. The default seed value | |
263 | * is 1. | |
264 | * | |
265 | * @param __s The initial seed value. | |
266 | */ | |
267 | explicit | |
268 | linear_congruential_engine(result_type __s = default_seed) | |
15ecdcc6 | 269 | { seed(__s); } |
8e79468d BK |
270 | |
271 | /** | |
272 | * @brief Constructs a %linear_congruential_engine random number | |
273 | * generator engine seeded from the seed sequence @p __q. | |
274 | * | |
275 | * @param __q the seed sequence. | |
276 | */ | |
05eeebfe PC |
277 | template<typename _Sseq, typename = typename |
278 | std::enable_if<!std::is_same<_Sseq, linear_congruential_engine>::value> | |
279 | ::type> | |
15ecdcc6 PC |
280 | explicit |
281 | linear_congruential_engine(_Sseq& __q) | |
05eeebfe | 282 | { seed(__q); } |
8e79468d BK |
283 | |
284 | /** | |
285 | * @brief Reseeds the %linear_congruential_engine random number generator | |
04b70271 | 286 | * engine sequence to the seed @p __s. |
8e79468d BK |
287 | * |
288 | * @param __s The new seed. | |
289 | */ | |
290 | void | |
291 | seed(result_type __s = default_seed); | |
292 | ||
293 | /** | |
294 | * @brief Reseeds the %linear_congruential_engine random number generator | |
295 | * engine | |
296 | * sequence using values from the seed sequence @p __q. | |
297 | * | |
298 | * @param __q the seed sequence. | |
299 | */ | |
05eeebfe PC |
300 | template<typename _Sseq> |
301 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 302 | seed(_Sseq& __q); |
8e79468d BK |
303 | |
304 | /** | |
305 | * @brief Gets the smallest possible value in the output range. | |
306 | * | |
307 | * The minimum depends on the @p __c parameter: if it is zero, the | |
308 | * minimum generated must be > 0, otherwise 0 is allowed. | |
8e79468d | 309 | */ |
94a86be0 BK |
310 | static constexpr result_type |
311 | min() | |
96a9203b | 312 | { return __c == 0u ? 1u : 0u; } |
8e79468d BK |
313 | |
314 | /** | |
315 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 316 | */ |
94a86be0 BK |
317 | static constexpr result_type |
318 | max() | |
96a9203b | 319 | { return __m - 1u; } |
8e79468d BK |
320 | |
321 | /** | |
322 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
323 | */ |
324 | void | |
325 | discard(unsigned long long __z) | |
326 | { | |
327 | for (; __z != 0ULL; --__z) | |
328 | (*this)(); | |
329 | } | |
330 | ||
331 | /** | |
332 | * @brief Gets the next random number in the sequence. | |
333 | */ | |
334 | result_type | |
b01630bb PC |
335 | operator()() |
336 | { | |
b94f4bef | 337 | _M_x = __detail::__mod<_UIntType, __m, __a, __c>(_M_x); |
b01630bb PC |
338 | return _M_x; |
339 | } | |
8e79468d BK |
340 | |
341 | /** | |
342 | * @brief Compares two linear congruential random number generator | |
343 | * objects of the same type for equality. | |
344 | * | |
345 | * @param __lhs A linear congruential random number generator object. | |
346 | * @param __rhs Another linear congruential random number generator | |
347 | * object. | |
348 | * | |
fc05e1ba PC |
349 | * @returns true if the infinite sequences of generated values |
350 | * would be equal, false otherwise. | |
8e79468d BK |
351 | */ |
352 | friend bool | |
353 | operator==(const linear_congruential_engine& __lhs, | |
354 | const linear_congruential_engine& __rhs) | |
355 | { return __lhs._M_x == __rhs._M_x; } | |
356 | ||
357 | /** | |
358 | * @brief Writes the textual representation of the state x(i) of x to | |
359 | * @p __os. | |
360 | * | |
361 | * @param __os The output stream. | |
362 | * @param __lcr A % linear_congruential_engine random number generator. | |
363 | * @returns __os. | |
364 | */ | |
365 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 366 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 367 | friend std::basic_ostream<_CharT, _Traits>& |
93c66bc6 | 368 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 369 | const std::linear_congruential_engine<_UIntType1, |
93c66bc6 | 370 | __a1, __c1, __m1>& __lcr); |
8e79468d BK |
371 | |
372 | /** | |
373 | * @brief Sets the state of the engine by reading its textual | |
374 | * representation from @p __is. | |
375 | * | |
376 | * The textual representation must have been previously written using | |
377 | * an output stream whose imbued locale and whose type's template | |
378 | * specialization arguments _CharT and _Traits were the same as those | |
379 | * of @p __is. | |
380 | * | |
381 | * @param __is The input stream. | |
382 | * @param __lcr A % linear_congruential_engine random number generator. | |
383 | * @returns __is. | |
384 | */ | |
385 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 386 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 387 | friend std::basic_istream<_CharT, _Traits>& |
93c66bc6 | 388 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 389 | std::linear_congruential_engine<_UIntType1, __a1, |
93c66bc6 | 390 | __c1, __m1>& __lcr); |
8e79468d BK |
391 | |
392 | private: | |
8e79468d BK |
393 | _UIntType _M_x; |
394 | }; | |
395 | ||
fc05e1ba PC |
396 | /** |
397 | * @brief Compares two linear congruential random number generator | |
398 | * objects of the same type for inequality. | |
399 | * | |
400 | * @param __lhs A linear congruential random number generator object. | |
401 | * @param __rhs Another linear congruential random number generator | |
402 | * object. | |
403 | * | |
404 | * @returns true if the infinite sequences of generated values | |
405 | * would be different, false otherwise. | |
406 | */ | |
407 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
408 | inline bool | |
409 | operator!=(const std::linear_congruential_engine<_UIntType, __a, | |
410 | __c, __m>& __lhs, | |
411 | const std::linear_congruential_engine<_UIntType, __a, | |
412 | __c, __m>& __rhs) | |
413 | { return !(__lhs == __rhs); } | |
414 | ||
8e79468d BK |
415 | |
416 | /** | |
417 | * A generalized feedback shift register discrete random number generator. | |
418 | * | |
419 | * This algorithm avoids multiplication and division and is designed to be | |
420 | * friendly to a pipelined architecture. If the parameters are chosen | |
421 | * correctly, this generator will produce numbers with a very long period and | |
422 | * fairly good apparent entropy, although still not cryptographically strong. | |
423 | * | |
424 | * The best way to use this generator is with the predefined mt19937 class. | |
425 | * | |
426 | * This algorithm was originally invented by Makoto Matsumoto and | |
427 | * Takuji Nishimura. | |
428 | * | |
93c66bc6 BK |
429 | * @tparam __w Word size, the number of bits in each element of |
430 | * the state vector. | |
431 | * @tparam __n The degree of recursion. | |
432 | * @tparam __m The period parameter. | |
433 | * @tparam __r The separation point bit index. | |
434 | * @tparam __a The last row of the twist matrix. | |
435 | * @tparam __u The first right-shift tempering matrix parameter. | |
436 | * @tparam __d The first right-shift tempering matrix mask. | |
437 | * @tparam __s The first left-shift tempering matrix parameter. | |
438 | * @tparam __b The first left-shift tempering matrix mask. | |
439 | * @tparam __t The second left-shift tempering matrix parameter. | |
440 | * @tparam __c The second left-shift tempering matrix mask. | |
441 | * @tparam __l The second right-shift tempering matrix parameter. | |
442 | * @tparam __f Initialization multiplier. | |
8e79468d BK |
443 | */ |
444 | template<typename _UIntType, size_t __w, | |
445 | size_t __n, size_t __m, size_t __r, | |
446 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
447 | _UIntType __b, size_t __t, | |
448 | _UIntType __c, size_t __l, _UIntType __f> | |
449 | class mersenne_twister_engine | |
450 | { | |
77e3c516 | 451 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 452 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 453 | static_assert(1u <= __m && __m <= __n, |
f6d08b43 PC |
454 | "template argument substituting __m out of bounds"); |
455 | static_assert(__r <= __w, "template argument substituting " | |
456 | "__r out of bound"); | |
457 | static_assert(__u <= __w, "template argument substituting " | |
458 | "__u out of bound"); | |
459 | static_assert(__s <= __w, "template argument substituting " | |
460 | "__s out of bound"); | |
461 | static_assert(__t <= __w, "template argument substituting " | |
462 | "__t out of bound"); | |
463 | static_assert(__l <= __w, "template argument substituting " | |
464 | "__l out of bound"); | |
77e3c516 | 465 | static_assert(__w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 466 | "template argument substituting __w out of bound"); |
6855fe45 | 467 | static_assert(__a <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 468 | "template argument substituting __a out of bound"); |
6855fe45 | 469 | static_assert(__b <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 470 | "template argument substituting __b out of bound"); |
6855fe45 | 471 | static_assert(__c <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 472 | "template argument substituting __c out of bound"); |
b94f4bef | 473 | static_assert(__d <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 474 | "template argument substituting __d out of bound"); |
b94f4bef | 475 | static_assert(__f <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 476 | "template argument substituting __f out of bound"); |
8e79468d BK |
477 | |
478 | public: | |
479 | /** The type of the generated random value. */ | |
480 | typedef _UIntType result_type; | |
481 | ||
482 | // parameter values | |
94a86be0 BK |
483 | static constexpr size_t word_size = __w; |
484 | static constexpr size_t state_size = __n; | |
485 | static constexpr size_t shift_size = __m; | |
486 | static constexpr size_t mask_bits = __r; | |
487 | static constexpr result_type xor_mask = __a; | |
488 | static constexpr size_t tempering_u = __u; | |
489 | static constexpr result_type tempering_d = __d; | |
490 | static constexpr size_t tempering_s = __s; | |
491 | static constexpr result_type tempering_b = __b; | |
492 | static constexpr size_t tempering_t = __t; | |
493 | static constexpr result_type tempering_c = __c; | |
494 | static constexpr size_t tempering_l = __l; | |
495 | static constexpr result_type initialization_multiplier = __f; | |
496 | static constexpr result_type default_seed = 5489u; | |
8e79468d BK |
497 | |
498 | // constructors and member function | |
499 | explicit | |
500 | mersenne_twister_engine(result_type __sd = default_seed) | |
501 | { seed(__sd); } | |
502 | ||
503 | /** | |
504 | * @brief Constructs a %mersenne_twister_engine random number generator | |
505 | * engine seeded from the seed sequence @p __q. | |
506 | * | |
507 | * @param __q the seed sequence. | |
508 | */ | |
05eeebfe PC |
509 | template<typename _Sseq, typename = typename |
510 | std::enable_if<!std::is_same<_Sseq, mersenne_twister_engine>::value> | |
511 | ::type> | |
15ecdcc6 PC |
512 | explicit |
513 | mersenne_twister_engine(_Sseq& __q) | |
05eeebfe | 514 | { seed(__q); } |
8e79468d BK |
515 | |
516 | void | |
517 | seed(result_type __sd = default_seed); | |
518 | ||
05eeebfe PC |
519 | template<typename _Sseq> |
520 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 521 | seed(_Sseq& __q); |
8e79468d BK |
522 | |
523 | /** | |
524 | * @brief Gets the smallest possible value in the output range. | |
8e79468d | 525 | */ |
94a86be0 BK |
526 | static constexpr result_type |
527 | min() | |
8e79468d BK |
528 | { return 0; }; |
529 | ||
530 | /** | |
531 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 532 | */ |
94a86be0 BK |
533 | static constexpr result_type |
534 | max() | |
6855fe45 | 535 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
536 | |
537 | /** | |
538 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
539 | */ |
540 | void | |
b668e41a | 541 | discard(unsigned long long __z); |
8e79468d BK |
542 | |
543 | result_type | |
544 | operator()(); | |
545 | ||
546 | /** | |
547 | * @brief Compares two % mersenne_twister_engine random number generator | |
548 | * objects of the same type for equality. | |
549 | * | |
550 | * @param __lhs A % mersenne_twister_engine random number generator | |
551 | * object. | |
552 | * @param __rhs Another % mersenne_twister_engine random number | |
553 | * generator object. | |
554 | * | |
fc05e1ba PC |
555 | * @returns true if the infinite sequences of generated values |
556 | * would be equal, false otherwise. | |
8e79468d BK |
557 | */ |
558 | friend bool | |
559 | operator==(const mersenne_twister_engine& __lhs, | |
560 | const mersenne_twister_engine& __rhs) | |
31645179 PC |
561 | { return (std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x) |
562 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
563 | |
564 | /** | |
565 | * @brief Inserts the current state of a % mersenne_twister_engine | |
566 | * random number generator engine @p __x into the output stream | |
567 | * @p __os. | |
568 | * | |
569 | * @param __os An output stream. | |
570 | * @param __x A % mersenne_twister_engine random number generator | |
571 | * engine. | |
572 | * | |
573 | * @returns The output stream with the state of @p __x inserted or in | |
574 | * an error state. | |
575 | */ | |
576 | template<typename _UIntType1, | |
577 | size_t __w1, size_t __n1, | |
578 | size_t __m1, size_t __r1, | |
579 | _UIntType1 __a1, size_t __u1, | |
580 | _UIntType1 __d1, size_t __s1, | |
581 | _UIntType1 __b1, size_t __t1, | |
582 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
583 | typename _CharT, typename _Traits> | |
584 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 585 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d PC |
586 | const std::mersenne_twister_engine<_UIntType1, __w1, __n1, |
587 | __m1, __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 588 | __l1, __f1>& __x); |
8e79468d BK |
589 | |
590 | /** | |
591 | * @brief Extracts the current state of a % mersenne_twister_engine | |
592 | * random number generator engine @p __x from the input stream | |
593 | * @p __is. | |
594 | * | |
595 | * @param __is An input stream. | |
596 | * @param __x A % mersenne_twister_engine random number generator | |
597 | * engine. | |
598 | * | |
599 | * @returns The input stream with the state of @p __x extracted or in | |
600 | * an error state. | |
601 | */ | |
602 | template<typename _UIntType1, | |
603 | size_t __w1, size_t __n1, | |
604 | size_t __m1, size_t __r1, | |
605 | _UIntType1 __a1, size_t __u1, | |
606 | _UIntType1 __d1, size_t __s1, | |
607 | _UIntType1 __b1, size_t __t1, | |
608 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
609 | typename _CharT, typename _Traits> | |
610 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 611 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d PC |
612 | std::mersenne_twister_engine<_UIntType1, __w1, __n1, __m1, |
613 | __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 614 | __l1, __f1>& __x); |
8e79468d BK |
615 | |
616 | private: | |
b668e41a UD |
617 | void _M_gen_rand(); |
618 | ||
8e79468d BK |
619 | _UIntType _M_x[state_size]; |
620 | size_t _M_p; | |
621 | }; | |
622 | ||
fc05e1ba PC |
623 | /** |
624 | * @brief Compares two % mersenne_twister_engine random number generator | |
625 | * objects of the same type for inequality. | |
626 | * | |
627 | * @param __lhs A % mersenne_twister_engine random number generator | |
628 | * object. | |
629 | * @param __rhs Another % mersenne_twister_engine random number | |
630 | * generator object. | |
631 | * | |
632 | * @returns true if the infinite sequences of generated values | |
633 | * would be different, false otherwise. | |
634 | */ | |
635 | template<typename _UIntType, size_t __w, | |
636 | size_t __n, size_t __m, size_t __r, | |
637 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
638 | _UIntType __b, size_t __t, | |
639 | _UIntType __c, size_t __l, _UIntType __f> | |
640 | inline bool | |
641 | operator!=(const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
642 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __lhs, | |
643 | const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
644 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __rhs) | |
645 | { return !(__lhs == __rhs); } | |
646 | ||
647 | ||
8e79468d BK |
648 | /** |
649 | * @brief The Marsaglia-Zaman generator. | |
650 | * | |
651 | * This is a model of a Generalized Fibonacci discrete random number | |
652 | * generator, sometimes referred to as the SWC generator. | |
653 | * | |
654 | * A discrete random number generator that produces pseudorandom | |
6cc5a790 BK |
655 | * numbers using: |
656 | * @f[ | |
657 | * x_{i}\leftarrow(x_{i - s} - x_{i - r} - carry_{i-1}) \bmod m | |
658 | * @f] | |
8e79468d | 659 | * |
6cc5a790 BK |
660 | * The size of the state is @f$r@f$ |
661 | * and the maximum period of the generator is @f$(m^r - m^s - 1)@f$. | |
8e79468d BK |
662 | * |
663 | * @var _M_x The state of the generator. This is a ring buffer. | |
664 | * @var _M_carry The carry. | |
665 | * @var _M_p Current index of x(i - r). | |
666 | */ | |
667 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
668 | class subtract_with_carry_engine | |
669 | { | |
77e3c516 | 670 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 671 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 672 | static_assert(0u < __s && __s < __r, |
f6d08b43 | 673 | "template argument substituting __s out of bounds"); |
77e3c516 | 674 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 675 | "template argument substituting __w out of bounds"); |
8e79468d BK |
676 | |
677 | public: | |
678 | /** The type of the generated random value. */ | |
679 | typedef _UIntType result_type; | |
680 | ||
681 | // parameter values | |
94a86be0 BK |
682 | static constexpr size_t word_size = __w; |
683 | static constexpr size_t short_lag = __s; | |
684 | static constexpr size_t long_lag = __r; | |
685 | static constexpr result_type default_seed = 19780503u; | |
8e79468d BK |
686 | |
687 | /** | |
688 | * @brief Constructs an explicitly seeded % subtract_with_carry_engine | |
689 | * random number generator. | |
690 | */ | |
691 | explicit | |
692 | subtract_with_carry_engine(result_type __sd = default_seed) | |
15ecdcc6 | 693 | { seed(__sd); } |
8e79468d BK |
694 | |
695 | /** | |
696 | * @brief Constructs a %subtract_with_carry_engine random number engine | |
697 | * seeded from the seed sequence @p __q. | |
698 | * | |
699 | * @param __q the seed sequence. | |
700 | */ | |
05eeebfe PC |
701 | template<typename _Sseq, typename = typename |
702 | std::enable_if<!std::is_same<_Sseq, subtract_with_carry_engine>::value> | |
703 | ::type> | |
15ecdcc6 PC |
704 | explicit |
705 | subtract_with_carry_engine(_Sseq& __q) | |
05eeebfe | 706 | { seed(__q); } |
8e79468d BK |
707 | |
708 | /** | |
6cc5a790 | 709 | * @brief Seeds the initial state @f$x_0@f$ of the random number |
8e79468d BK |
710 | * generator. |
711 | * | |
712 | * N1688[4.19] modifies this as follows. If @p __value == 0, | |
713 | * sets value to 19780503. In any case, with a linear | |
714 | * congruential generator lcg(i) having parameters @f$ m_{lcg} = | |
715 | * 2147483563, a_{lcg} = 40014, c_{lcg} = 0, and lcg(0) = value | |
716 | * @f$, sets @f$ x_{-r} \dots x_{-1} @f$ to @f$ lcg(1) \bmod m | |
717 | * \dots lcg(r) \bmod m @f$ respectively. If @f$ x_{-1} = 0 @f$ | |
718 | * set carry to 1, otherwise sets carry to 0. | |
719 | */ | |
720 | void | |
721 | seed(result_type __sd = default_seed); | |
722 | ||
723 | /** | |
6cc5a790 | 724 | * @brief Seeds the initial state @f$x_0@f$ of the |
8e79468d BK |
725 | * % subtract_with_carry_engine random number generator. |
726 | */ | |
05eeebfe PC |
727 | template<typename _Sseq> |
728 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 729 | seed(_Sseq& __q); |
8e79468d BK |
730 | |
731 | /** | |
732 | * @brief Gets the inclusive minimum value of the range of random | |
733 | * integers returned by this generator. | |
8e79468d | 734 | */ |
94a86be0 BK |
735 | static constexpr result_type |
736 | min() | |
8e79468d BK |
737 | { return 0; } |
738 | ||
739 | /** | |
740 | * @brief Gets the inclusive maximum value of the range of random | |
741 | * integers returned by this generator. | |
8e79468d | 742 | */ |
94a86be0 BK |
743 | static constexpr result_type |
744 | max() | |
6855fe45 | 745 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
746 | |
747 | /** | |
748 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
749 | */ |
750 | void | |
751 | discard(unsigned long long __z) | |
752 | { | |
753 | for (; __z != 0ULL; --__z) | |
754 | (*this)(); | |
755 | } | |
756 | ||
757 | /** | |
758 | * @brief Gets the next random number in the sequence. | |
759 | */ | |
760 | result_type | |
761 | operator()(); | |
762 | ||
763 | /** | |
764 | * @brief Compares two % subtract_with_carry_engine random number | |
765 | * generator objects of the same type for equality. | |
766 | * | |
767 | * @param __lhs A % subtract_with_carry_engine random number generator | |
768 | * object. | |
769 | * @param __rhs Another % subtract_with_carry_engine random number | |
770 | * generator object. | |
771 | * | |
fc05e1ba PC |
772 | * @returns true if the infinite sequences of generated values |
773 | * would be equal, false otherwise. | |
774 | */ | |
8e79468d BK |
775 | friend bool |
776 | operator==(const subtract_with_carry_engine& __lhs, | |
777 | const subtract_with_carry_engine& __rhs) | |
31645179 PC |
778 | { return (std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x) |
779 | && __lhs._M_carry == __rhs._M_carry | |
780 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
781 | |
782 | /** | |
783 | * @brief Inserts the current state of a % subtract_with_carry_engine | |
784 | * random number generator engine @p __x into the output stream | |
785 | * @p __os. | |
786 | * | |
787 | * @param __os An output stream. | |
788 | * @param __x A % subtract_with_carry_engine random number generator | |
789 | * engine. | |
790 | * | |
791 | * @returns The output stream with the state of @p __x inserted or in | |
792 | * an error state. | |
793 | */ | |
794 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
795 | typename _CharT, typename _Traits> | |
796 | friend std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
797 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
798 | const std::subtract_with_carry_engine<_UIntType1, __w1, | |
799 | __s1, __r1>&); | |
8e79468d BK |
800 | |
801 | /** | |
802 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
803 | * random number generator engine @p __x from the input stream | |
804 | * @p __is. | |
805 | * | |
806 | * @param __is An input stream. | |
15ecdcc6 PC |
807 | * @param __x A % subtract_with_carry_engine random number generator |
808 | * engine. | |
8e79468d BK |
809 | * |
810 | * @returns The input stream with the state of @p __x extracted or in | |
811 | * an error state. | |
812 | */ | |
813 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
814 | typename _CharT, typename _Traits> | |
815 | friend std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
816 | operator>>(std::basic_istream<_CharT, _Traits>&, |
817 | std::subtract_with_carry_engine<_UIntType1, __w1, | |
818 | __s1, __r1>&); | |
8e79468d BK |
819 | |
820 | private: | |
8e79468d BK |
821 | _UIntType _M_x[long_lag]; |
822 | _UIntType _M_carry; | |
823 | size_t _M_p; | |
824 | }; | |
825 | ||
fc05e1ba PC |
826 | /** |
827 | * @brief Compares two % subtract_with_carry_engine random number | |
828 | * generator objects of the same type for inequality. | |
829 | * | |
830 | * @param __lhs A % subtract_with_carry_engine random number generator | |
831 | * object. | |
832 | * @param __rhs Another % subtract_with_carry_engine random number | |
833 | * generator object. | |
834 | * | |
835 | * @returns true if the infinite sequences of generated values | |
836 | * would be different, false otherwise. | |
837 | */ | |
838 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
839 | inline bool | |
840 | operator!=(const std::subtract_with_carry_engine<_UIntType, __w, | |
841 | __s, __r>& __lhs, | |
842 | const std::subtract_with_carry_engine<_UIntType, __w, | |
843 | __s, __r>& __rhs) | |
844 | { return !(__lhs == __rhs); } | |
845 | ||
846 | ||
8e79468d BK |
847 | /** |
848 | * Produces random numbers from some base engine by discarding blocks of | |
849 | * data. | |
850 | * | |
851 | * 0 <= @p __r <= @p __p | |
852 | */ | |
853 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
854 | class discard_block_engine | |
855 | { | |
77e3c516 | 856 | static_assert(1 <= __r && __r <= __p, |
f6d08b43 | 857 | "template argument substituting __r out of bounds"); |
8e79468d BK |
858 | |
859 | public: | |
860 | /** The type of the generated random value. */ | |
861 | typedef typename _RandomNumberEngine::result_type result_type; | |
862 | ||
863 | // parameter values | |
94a86be0 BK |
864 | static constexpr size_t block_size = __p; |
865 | static constexpr size_t used_block = __r; | |
8e79468d BK |
866 | |
867 | /** | |
868 | * @brief Constructs a default %discard_block_engine engine. | |
869 | * | |
870 | * The underlying engine is default constructed as well. | |
871 | */ | |
872 | discard_block_engine() | |
873 | : _M_b(), _M_n(0) { } | |
874 | ||
875 | /** | |
876 | * @brief Copy constructs a %discard_block_engine engine. | |
877 | * | |
878 | * Copies an existing base class random number generator. | |
93c66bc6 | 879 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
880 | */ |
881 | explicit | |
93c66bc6 BK |
882 | discard_block_engine(const _RandomNumberEngine& __rng) |
883 | : _M_b(__rng), _M_n(0) { } | |
8e79468d BK |
884 | |
885 | /** | |
886 | * @brief Move constructs a %discard_block_engine engine. | |
887 | * | |
888 | * Copies an existing base class random number generator. | |
93c66bc6 | 889 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
890 | */ |
891 | explicit | |
93c66bc6 BK |
892 | discard_block_engine(_RandomNumberEngine&& __rng) |
893 | : _M_b(std::move(__rng)), _M_n(0) { } | |
8e79468d BK |
894 | |
895 | /** | |
896 | * @brief Seed constructs a %discard_block_engine engine. | |
897 | * | |
898 | * Constructs the underlying generator engine seeded with @p __s. | |
899 | * @param __s A seed value for the base class engine. | |
900 | */ | |
901 | explicit | |
902 | discard_block_engine(result_type __s) | |
903 | : _M_b(__s), _M_n(0) { } | |
904 | ||
905 | /** | |
906 | * @brief Generator construct a %discard_block_engine engine. | |
907 | * | |
908 | * @param __q A seed sequence. | |
909 | */ | |
05eeebfe PC |
910 | template<typename _Sseq, typename = typename |
911 | std::enable_if<!std::is_same<_Sseq, discard_block_engine>::value | |
912 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
913 | ::type> | |
15ecdcc6 PC |
914 | explicit |
915 | discard_block_engine(_Sseq& __q) | |
916 | : _M_b(__q), _M_n(0) | |
917 | { } | |
8e79468d BK |
918 | |
919 | /** | |
920 | * @brief Reseeds the %discard_block_engine object with the default | |
921 | * seed for the underlying base class generator engine. | |
922 | */ | |
923 | void | |
924 | seed() | |
925 | { | |
926 | _M_b.seed(); | |
927 | _M_n = 0; | |
928 | } | |
929 | ||
930 | /** | |
931 | * @brief Reseeds the %discard_block_engine object with the default | |
932 | * seed for the underlying base class generator engine. | |
933 | */ | |
934 | void | |
935 | seed(result_type __s) | |
936 | { | |
937 | _M_b.seed(__s); | |
938 | _M_n = 0; | |
939 | } | |
940 | ||
941 | /** | |
942 | * @brief Reseeds the %discard_block_engine object with the given seed | |
943 | * sequence. | |
944 | * @param __q A seed generator function. | |
945 | */ | |
05eeebfe | 946 | template<typename _Sseq> |
15ecdcc6 PC |
947 | void |
948 | seed(_Sseq& __q) | |
949 | { | |
05eeebfe | 950 | _M_b.seed(__q); |
15ecdcc6 PC |
951 | _M_n = 0; |
952 | } | |
8e79468d BK |
953 | |
954 | /** | |
955 | * @brief Gets a const reference to the underlying generator engine | |
956 | * object. | |
957 | */ | |
958 | const _RandomNumberEngine& | |
18eeaec4 | 959 | base() const noexcept |
8e79468d BK |
960 | { return _M_b; } |
961 | ||
962 | /** | |
963 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 964 | */ |
94a86be0 BK |
965 | static constexpr result_type |
966 | min() | |
967 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
968 | |
969 | /** | |
970 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 971 | */ |
94a86be0 BK |
972 | static constexpr result_type |
973 | max() | |
974 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
975 | |
976 | /** | |
977 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
978 | */ |
979 | void | |
980 | discard(unsigned long long __z) | |
981 | { | |
982 | for (; __z != 0ULL; --__z) | |
983 | (*this)(); | |
984 | } | |
985 | ||
986 | /** | |
987 | * @brief Gets the next value in the generated random number sequence. | |
988 | */ | |
989 | result_type | |
990 | operator()(); | |
991 | ||
992 | /** | |
993 | * @brief Compares two %discard_block_engine random number generator | |
994 | * objects of the same type for equality. | |
995 | * | |
996 | * @param __lhs A %discard_block_engine random number generator object. | |
997 | * @param __rhs Another %discard_block_engine random number generator | |
998 | * object. | |
999 | * | |
fc05e1ba PC |
1000 | * @returns true if the infinite sequences of generated values |
1001 | * would be equal, false otherwise. | |
8e79468d BK |
1002 | */ |
1003 | friend bool | |
1004 | operator==(const discard_block_engine& __lhs, | |
1005 | const discard_block_engine& __rhs) | |
fc05e1ba | 1006 | { return __lhs._M_b == __rhs._M_b && __lhs._M_n == __rhs._M_n; } |
8e79468d BK |
1007 | |
1008 | /** | |
1009 | * @brief Inserts the current state of a %discard_block_engine random | |
1010 | * number generator engine @p __x into the output stream | |
1011 | * @p __os. | |
1012 | * | |
1013 | * @param __os An output stream. | |
1014 | * @param __x A %discard_block_engine random number generator engine. | |
1015 | * | |
1016 | * @returns The output stream with the state of @p __x inserted or in | |
1017 | * an error state. | |
1018 | */ | |
1019 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1020 | typename _CharT, typename _Traits> | |
1021 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1022 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1023 | const std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1024 | __p1, __r1>& __x); |
8e79468d BK |
1025 | |
1026 | /** | |
1027 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1028 | * random number generator engine @p __x from the input stream | |
1029 | * @p __is. | |
1030 | * | |
1031 | * @param __is An input stream. | |
1032 | * @param __x A %discard_block_engine random number generator engine. | |
1033 | * | |
1034 | * @returns The input stream with the state of @p __x extracted or in | |
1035 | * an error state. | |
1036 | */ | |
1037 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1038 | typename _CharT, typename _Traits> | |
1039 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 1040 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 1041 | std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1042 | __p1, __r1>& __x); |
8e79468d BK |
1043 | |
1044 | private: | |
1045 | _RandomNumberEngine _M_b; | |
1046 | size_t _M_n; | |
1047 | }; | |
1048 | ||
fc05e1ba PC |
1049 | /** |
1050 | * @brief Compares two %discard_block_engine random number generator | |
1051 | * objects of the same type for inequality. | |
1052 | * | |
1053 | * @param __lhs A %discard_block_engine random number generator object. | |
1054 | * @param __rhs Another %discard_block_engine random number generator | |
1055 | * object. | |
1056 | * | |
1057 | * @returns true if the infinite sequences of generated values | |
1058 | * would be different, false otherwise. | |
1059 | */ | |
1060 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
1061 | inline bool | |
1062 | operator!=(const std::discard_block_engine<_RandomNumberEngine, __p, | |
1063 | __r>& __lhs, | |
1064 | const std::discard_block_engine<_RandomNumberEngine, __p, | |
1065 | __r>& __rhs) | |
1066 | { return !(__lhs == __rhs); } | |
1067 | ||
1068 | ||
8e79468d BK |
1069 | /** |
1070 | * Produces random numbers by combining random numbers from some base | |
1071 | * engine to produce random numbers with a specifies number of bits @p __w. | |
1072 | */ | |
1073 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1074 | class independent_bits_engine | |
1075 | { | |
77e3c516 | 1076 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 1077 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 1078 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 1079 | "template argument substituting __w out of bounds"); |
8e79468d BK |
1080 | |
1081 | public: | |
1082 | /** The type of the generated random value. */ | |
1083 | typedef _UIntType result_type; | |
1084 | ||
1085 | /** | |
1086 | * @brief Constructs a default %independent_bits_engine engine. | |
1087 | * | |
1088 | * The underlying engine is default constructed as well. | |
1089 | */ | |
1090 | independent_bits_engine() | |
1091 | : _M_b() { } | |
1092 | ||
1093 | /** | |
1094 | * @brief Copy constructs a %independent_bits_engine engine. | |
1095 | * | |
1096 | * Copies an existing base class random number generator. | |
93c66bc6 | 1097 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1098 | */ |
1099 | explicit | |
93c66bc6 BK |
1100 | independent_bits_engine(const _RandomNumberEngine& __rng) |
1101 | : _M_b(__rng) { } | |
8e79468d BK |
1102 | |
1103 | /** | |
1104 | * @brief Move constructs a %independent_bits_engine engine. | |
1105 | * | |
1106 | * Copies an existing base class random number generator. | |
93c66bc6 | 1107 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1108 | */ |
1109 | explicit | |
93c66bc6 BK |
1110 | independent_bits_engine(_RandomNumberEngine&& __rng) |
1111 | : _M_b(std::move(__rng)) { } | |
8e79468d BK |
1112 | |
1113 | /** | |
1114 | * @brief Seed constructs a %independent_bits_engine engine. | |
1115 | * | |
1116 | * Constructs the underlying generator engine seeded with @p __s. | |
1117 | * @param __s A seed value for the base class engine. | |
1118 | */ | |
1119 | explicit | |
1120 | independent_bits_engine(result_type __s) | |
1121 | : _M_b(__s) { } | |
1122 | ||
1123 | /** | |
1124 | * @brief Generator construct a %independent_bits_engine engine. | |
1125 | * | |
1126 | * @param __q A seed sequence. | |
1127 | */ | |
05eeebfe PC |
1128 | template<typename _Sseq, typename = typename |
1129 | std::enable_if<!std::is_same<_Sseq, independent_bits_engine>::value | |
1130 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
1131 | ::type> | |
15ecdcc6 PC |
1132 | explicit |
1133 | independent_bits_engine(_Sseq& __q) | |
1134 | : _M_b(__q) | |
1135 | { } | |
8e79468d BK |
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() | |
1143 | { _M_b.seed(); } | |
1144 | ||
1145 | /** | |
1146 | * @brief Reseeds the %independent_bits_engine object with the default | |
1147 | * seed for the underlying base class generator engine. | |
1148 | */ | |
1149 | void | |
1150 | seed(result_type __s) | |
1151 | { _M_b.seed(__s); } | |
1152 | ||
1153 | /** | |
1154 | * @brief Reseeds the %independent_bits_engine object with the given | |
1155 | * seed sequence. | |
1156 | * @param __q A seed generator function. | |
1157 | */ | |
05eeebfe | 1158 | template<typename _Sseq> |
15ecdcc6 PC |
1159 | void |
1160 | seed(_Sseq& __q) | |
05eeebfe | 1161 | { _M_b.seed(__q); } |
8e79468d BK |
1162 | |
1163 | /** | |
1164 | * @brief Gets a const reference to the underlying generator engine | |
1165 | * object. | |
1166 | */ | |
1167 | const _RandomNumberEngine& | |
18eeaec4 | 1168 | base() const noexcept |
8e79468d BK |
1169 | { return _M_b; } |
1170 | ||
1171 | /** | |
1172 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 1173 | */ |
94a86be0 BK |
1174 | static constexpr result_type |
1175 | min() | |
8e79468d BK |
1176 | { return 0U; } |
1177 | ||
1178 | /** | |
1179 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 1180 | */ |
94a86be0 BK |
1181 | static constexpr result_type |
1182 | max() | |
6855fe45 | 1183 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
1184 | |
1185 | /** | |
1186 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
1187 | */ |
1188 | void | |
1189 | discard(unsigned long long __z) | |
1190 | { | |
1191 | for (; __z != 0ULL; --__z) | |
1192 | (*this)(); | |
1193 | } | |
1194 | ||
1195 | /** | |
1196 | * @brief Gets the next value in the generated random number sequence. | |
1197 | */ | |
1198 | result_type | |
1199 | operator()(); | |
1200 | ||
1201 | /** | |
1202 | * @brief Compares two %independent_bits_engine random number generator | |
1203 | * objects of the same type for equality. | |
1204 | * | |
1205 | * @param __lhs A %independent_bits_engine random number generator | |
1206 | * object. | |
1207 | * @param __rhs Another %independent_bits_engine random number generator | |
1208 | * object. | |
1209 | * | |
fc05e1ba PC |
1210 | * @returns true if the infinite sequences of generated values |
1211 | * would be equal, false otherwise. | |
8e79468d BK |
1212 | */ |
1213 | friend bool | |
1214 | operator==(const independent_bits_engine& __lhs, | |
1215 | const independent_bits_engine& __rhs) | |
1216 | { return __lhs._M_b == __rhs._M_b; } | |
1217 | ||
1218 | /** | |
1219 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1220 | * random number generator engine @p __x from the input stream | |
1221 | * @p __is. | |
1222 | * | |
1223 | * @param __is An input stream. | |
1224 | * @param __x A %independent_bits_engine random number generator | |
1225 | * engine. | |
1226 | * | |
1227 | * @returns The input stream with the state of @p __x extracted or in | |
1228 | * an error state. | |
1229 | */ | |
1230 | template<typename _CharT, typename _Traits> | |
1231 | friend std::basic_istream<_CharT, _Traits>& | |
1232 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 1233 | std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1234 | __w, _UIntType>& __x) |
1235 | { | |
1236 | __is >> __x._M_b; | |
1237 | return __is; | |
1238 | } | |
1239 | ||
1240 | private: | |
1241 | _RandomNumberEngine _M_b; | |
1242 | }; | |
1243 | ||
fc05e1ba PC |
1244 | /** |
1245 | * @brief Compares two %independent_bits_engine random number generator | |
1246 | * objects of the same type for inequality. | |
1247 | * | |
1248 | * @param __lhs A %independent_bits_engine random number generator | |
1249 | * object. | |
1250 | * @param __rhs Another %independent_bits_engine random number generator | |
1251 | * object. | |
1252 | * | |
1253 | * @returns true if the infinite sequences of generated values | |
1254 | * would be different, false otherwise. | |
1255 | */ | |
1256 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1257 | inline bool | |
1258 | operator!=(const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1259 | _UIntType>& __lhs, | |
1260 | const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1261 | _UIntType>& __rhs) | |
1262 | { return !(__lhs == __rhs); } | |
1263 | ||
8e79468d BK |
1264 | /** |
1265 | * @brief Inserts the current state of a %independent_bits_engine random | |
1266 | * number generator engine @p __x into the output stream @p __os. | |
1267 | * | |
1268 | * @param __os An output stream. | |
1269 | * @param __x A %independent_bits_engine random number generator engine. | |
1270 | * | |
1271 | * @returns The output stream with the state of @p __x inserted or in | |
1272 | * an error state. | |
1273 | */ | |
1274 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType, | |
1275 | typename _CharT, typename _Traits> | |
1276 | std::basic_ostream<_CharT, _Traits>& | |
1277 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
94986f6d | 1278 | const std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1279 | __w, _UIntType>& __x) |
1280 | { | |
1281 | __os << __x.base(); | |
1282 | return __os; | |
1283 | } | |
1284 | ||
fc05e1ba | 1285 | |
8e79468d BK |
1286 | /** |
1287 | * @brief Produces random numbers by combining random numbers from some | |
1288 | * base engine to produce random numbers with a specifies number of bits | |
1289 | * @p __w. | |
1290 | */ | |
1291 | template<typename _RandomNumberEngine, size_t __k> | |
1292 | class shuffle_order_engine | |
1293 | { | |
a20c8540 | 1294 | static_assert(1u <= __k, "template argument substituting " |
f6d08b43 | 1295 | "__k out of bound"); |
8e79468d BK |
1296 | |
1297 | public: | |
1298 | /** The type of the generated random value. */ | |
1299 | typedef typename _RandomNumberEngine::result_type result_type; | |
1300 | ||
94a86be0 | 1301 | static constexpr size_t table_size = __k; |
8e79468d BK |
1302 | |
1303 | /** | |
1304 | * @brief Constructs a default %shuffle_order_engine engine. | |
1305 | * | |
1306 | * The underlying engine is default constructed as well. | |
1307 | */ | |
1308 | shuffle_order_engine() | |
1309 | : _M_b() | |
1310 | { _M_initialize(); } | |
1311 | ||
1312 | /** | |
1313 | * @brief Copy constructs a %shuffle_order_engine engine. | |
1314 | * | |
1315 | * Copies an existing base class random number generator. | |
93c66bc6 | 1316 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1317 | */ |
1318 | explicit | |
93c66bc6 BK |
1319 | shuffle_order_engine(const _RandomNumberEngine& __rng) |
1320 | : _M_b(__rng) | |
8e79468d BK |
1321 | { _M_initialize(); } |
1322 | ||
1323 | /** | |
1324 | * @brief Move constructs a %shuffle_order_engine engine. | |
1325 | * | |
1326 | * Copies an existing base class random number generator. | |
93c66bc6 | 1327 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1328 | */ |
1329 | explicit | |
93c66bc6 BK |
1330 | shuffle_order_engine(_RandomNumberEngine&& __rng) |
1331 | : _M_b(std::move(__rng)) | |
8e79468d BK |
1332 | { _M_initialize(); } |
1333 | ||
1334 | /** | |
1335 | * @brief Seed constructs a %shuffle_order_engine engine. | |
1336 | * | |
1337 | * Constructs the underlying generator engine seeded with @p __s. | |
1338 | * @param __s A seed value for the base class engine. | |
1339 | */ | |
1340 | explicit | |
1341 | shuffle_order_engine(result_type __s) | |
1342 | : _M_b(__s) | |
1343 | { _M_initialize(); } | |
1344 | ||
1345 | /** | |
1346 | * @brief Generator construct a %shuffle_order_engine engine. | |
1347 | * | |
1348 | * @param __q A seed sequence. | |
1349 | */ | |
05eeebfe PC |
1350 | template<typename _Sseq, typename = typename |
1351 | std::enable_if<!std::is_same<_Sseq, shuffle_order_engine>::value | |
1352 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
1353 | ::type> | |
15ecdcc6 PC |
1354 | explicit |
1355 | shuffle_order_engine(_Sseq& __q) | |
1356 | : _M_b(__q) | |
1357 | { _M_initialize(); } | |
8e79468d BK |
1358 | |
1359 | /** | |
94986f6d PC |
1360 | * @brief Reseeds the %shuffle_order_engine object with the default seed |
1361 | for the underlying base class generator engine. | |
8e79468d BK |
1362 | */ |
1363 | void | |
1364 | seed() | |
1365 | { | |
1366 | _M_b.seed(); | |
1367 | _M_initialize(); | |
1368 | } | |
1369 | ||
1370 | /** | |
1371 | * @brief Reseeds the %shuffle_order_engine object with the default seed | |
1372 | * for the underlying base class generator engine. | |
1373 | */ | |
1374 | void | |
1375 | seed(result_type __s) | |
1376 | { | |
1377 | _M_b.seed(__s); | |
1378 | _M_initialize(); | |
1379 | } | |
1380 | ||
1381 | /** | |
1382 | * @brief Reseeds the %shuffle_order_engine object with the given seed | |
1383 | * sequence. | |
1384 | * @param __q A seed generator function. | |
1385 | */ | |
05eeebfe | 1386 | template<typename _Sseq> |
15ecdcc6 PC |
1387 | void |
1388 | seed(_Sseq& __q) | |
1389 | { | |
05eeebfe | 1390 | _M_b.seed(__q); |
15ecdcc6 PC |
1391 | _M_initialize(); |
1392 | } | |
8e79468d BK |
1393 | |
1394 | /** | |
1395 | * Gets a const reference to the underlying generator engine object. | |
1396 | */ | |
1397 | const _RandomNumberEngine& | |
18eeaec4 | 1398 | base() const noexcept |
8e79468d BK |
1399 | { return _M_b; } |
1400 | ||
1401 | /** | |
1402 | * Gets the minimum value in the generated random number range. | |
8e79468d | 1403 | */ |
94a86be0 BK |
1404 | static constexpr result_type |
1405 | min() | |
1406 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
1407 | |
1408 | /** | |
1409 | * Gets the maximum value in the generated random number range. | |
8e79468d | 1410 | */ |
94a86be0 BK |
1411 | static constexpr result_type |
1412 | max() | |
1413 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
1414 | |
1415 | /** | |
1416 | * Discard a sequence of random numbers. | |
8e79468d BK |
1417 | */ |
1418 | void | |
1419 | discard(unsigned long long __z) | |
1420 | { | |
1421 | for (; __z != 0ULL; --__z) | |
1422 | (*this)(); | |
1423 | } | |
1424 | ||
1425 | /** | |
1426 | * Gets the next value in the generated random number sequence. | |
1427 | */ | |
1428 | result_type | |
1429 | operator()(); | |
1430 | ||
1431 | /** | |
1432 | * Compares two %shuffle_order_engine random number generator objects | |
1433 | * of the same type for equality. | |
1434 | * | |
1435 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1436 | * @param __rhs Another %shuffle_order_engine random number generator | |
1437 | * object. | |
1438 | * | |
fc05e1ba PC |
1439 | * @returns true if the infinite sequences of generated values |
1440 | * would be equal, false otherwise. | |
1441 | */ | |
8e79468d BK |
1442 | friend bool |
1443 | operator==(const shuffle_order_engine& __lhs, | |
1444 | const shuffle_order_engine& __rhs) | |
31645179 PC |
1445 | { return (__lhs._M_b == __rhs._M_b |
1446 | && std::equal(__lhs._M_v, __lhs._M_v + __k, __rhs._M_v) | |
1447 | && __lhs._M_y == __rhs._M_y); } | |
8e79468d BK |
1448 | |
1449 | /** | |
1450 | * @brief Inserts the current state of a %shuffle_order_engine random | |
1451 | * number generator engine @p __x into the output stream | |
1452 | @p __os. | |
1453 | * | |
1454 | * @param __os An output stream. | |
1455 | * @param __x A %shuffle_order_engine random number generator engine. | |
1456 | * | |
1457 | * @returns The output stream with the state of @p __x inserted or in | |
1458 | * an error state. | |
1459 | */ | |
1460 | template<typename _RandomNumberEngine1, size_t __k1, | |
1461 | typename _CharT, typename _Traits> | |
1462 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1463 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1464 | const std::shuffle_order_engine<_RandomNumberEngine1, |
93c66bc6 | 1465 | __k1>& __x); |
8e79468d BK |
1466 | |
1467 | /** | |
1468 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1469 | * random number generator engine @p __x from the input stream | |
1470 | * @p __is. | |
1471 | * | |
1472 | * @param __is An input stream. | |
1473 | * @param __x A %shuffle_order_engine random number generator engine. | |
1474 | * | |
1475 | * @returns The input stream with the state of @p __x extracted or in | |
1476 | * an error state. | |
1477 | */ | |
1478 | template<typename _RandomNumberEngine1, size_t __k1, | |
1479 | typename _CharT, typename _Traits> | |
1480 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
1481 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
1482 | std::shuffle_order_engine<_RandomNumberEngine1, __k1>& __x); | |
8e79468d BK |
1483 | |
1484 | private: | |
1485 | void _M_initialize() | |
1486 | { | |
1487 | for (size_t __i = 0; __i < __k; ++__i) | |
1488 | _M_v[__i] = _M_b(); | |
1489 | _M_y = _M_b(); | |
1490 | } | |
1491 | ||
1492 | _RandomNumberEngine _M_b; | |
1493 | result_type _M_v[__k]; | |
1494 | result_type _M_y; | |
1495 | }; | |
1496 | ||
fc05e1ba PC |
1497 | /** |
1498 | * Compares two %shuffle_order_engine random number generator objects | |
1499 | * of the same type for inequality. | |
1500 | * | |
1501 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1502 | * @param __rhs Another %shuffle_order_engine random number generator | |
1503 | * object. | |
1504 | * | |
1505 | * @returns true if the infinite sequences of generated values | |
1506 | * would be different, false otherwise. | |
1507 | */ | |
1508 | template<typename _RandomNumberEngine, size_t __k> | |
1509 | inline bool | |
1510 | operator!=(const std::shuffle_order_engine<_RandomNumberEngine, | |
1511 | __k>& __lhs, | |
1512 | const std::shuffle_order_engine<_RandomNumberEngine, | |
1513 | __k>& __rhs) | |
1514 | { return !(__lhs == __rhs); } | |
1515 | ||
1516 | ||
8e79468d BK |
1517 | /** |
1518 | * The classic Minimum Standard rand0 of Lewis, Goodman, and Miller. | |
1519 | */ | |
1520 | typedef linear_congruential_engine<uint_fast32_t, 16807UL, 0UL, 2147483647UL> | |
1521 | minstd_rand0; | |
1522 | ||
1523 | /** | |
6cc5a790 | 1524 | * An alternative LCR (Lehmer Generator function). |
8e79468d BK |
1525 | */ |
1526 | typedef linear_congruential_engine<uint_fast32_t, 48271UL, 0UL, 2147483647UL> | |
1527 | minstd_rand; | |
1528 | ||
1529 | /** | |
1530 | * The classic Mersenne Twister. | |
1531 | * | |
1532 | * Reference: | |
2a60a9f6 BK |
1533 | * M. Matsumoto and T. Nishimura, Mersenne Twister: A 623-Dimensionally |
1534 | * Equidistributed Uniform Pseudo-Random Number Generator, ACM Transactions | |
8e79468d BK |
1535 | * on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30. |
1536 | */ | |
1537 | typedef mersenne_twister_engine< | |
1538 | uint_fast32_t, | |
1539 | 32, 624, 397, 31, | |
1540 | 0x9908b0dfUL, 11, | |
1541 | 0xffffffffUL, 7, | |
1542 | 0x9d2c5680UL, 15, | |
1543 | 0xefc60000UL, 18, 1812433253UL> mt19937; | |
1544 | ||
1545 | /** | |
1546 | * An alternative Mersenne Twister. | |
1547 | */ | |
1548 | typedef mersenne_twister_engine< | |
1549 | uint_fast64_t, | |
1550 | 64, 312, 156, 31, | |
1551 | 0xb5026f5aa96619e9ULL, 29, | |
1552 | 0x5555555555555555ULL, 17, | |
1553 | 0x71d67fffeda60000ULL, 37, | |
1554 | 0xfff7eee000000000ULL, 43, | |
1555 | 6364136223846793005ULL> mt19937_64; | |
1556 | ||
8e79468d BK |
1557 | typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24> |
1558 | ranlux24_base; | |
1559 | ||
8e79468d BK |
1560 | typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12> |
1561 | ranlux48_base; | |
1562 | ||
b94f4bef PC |
1563 | typedef discard_block_engine<ranlux24_base, 223, 23> ranlux24; |
1564 | ||
8e79468d BK |
1565 | typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48; |
1566 | ||
8e79468d BK |
1567 | typedef shuffle_order_engine<minstd_rand0, 256> knuth_b; |
1568 | ||
8e79468d BK |
1569 | typedef minstd_rand0 default_random_engine; |
1570 | ||
1571 | /** | |
1572 | * A standard interface to a platform-specific non-deterministic | |
1573 | * random number generator (if any are available). | |
1574 | */ | |
1575 | class random_device | |
1576 | { | |
1577 | public: | |
1578 | /** The type of the generated random value. */ | |
1579 | typedef unsigned int result_type; | |
1580 | ||
1581 | // constructors, destructors and member functions | |
1582 | ||
1583 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
1584 | ||
1585 | explicit | |
a8c3f4c9 | 1586 | random_device(const std::string& __token = "default") |
8e79468d | 1587 | { |
a8c3f4c9 | 1588 | _M_init(__token); |
8e79468d BK |
1589 | } |
1590 | ||
1591 | ~random_device() | |
a8c3f4c9 | 1592 | { _M_fini(); } |
8e79468d BK |
1593 | |
1594 | #else | |
1595 | ||
1596 | explicit | |
1597 | random_device(const std::string& __token = "mt19937") | |
25270f5e | 1598 | { _M_init_pretr1(__token); } |
8e79468d BK |
1599 | |
1600 | public: | |
1601 | ||
1602 | #endif | |
1603 | ||
deaf34a9 PC |
1604 | static constexpr result_type |
1605 | min() | |
8e79468d BK |
1606 | { return std::numeric_limits<result_type>::min(); } |
1607 | ||
deaf34a9 PC |
1608 | static constexpr result_type |
1609 | max() | |
8e79468d BK |
1610 | { return std::numeric_limits<result_type>::max(); } |
1611 | ||
1612 | double | |
18eeaec4 | 1613 | entropy() const noexcept |
8e79468d BK |
1614 | { return 0.0; } |
1615 | ||
1616 | result_type | |
1617 | operator()() | |
1618 | { | |
1619 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
a8c3f4c9 | 1620 | return this->_M_getval(); |
8e79468d | 1621 | #else |
a8c3f4c9 | 1622 | return this->_M_getval_pretr1(); |
8e79468d BK |
1623 | #endif |
1624 | } | |
1625 | ||
1626 | // No copy functions. | |
1627 | random_device(const random_device&) = delete; | |
1628 | void operator=(const random_device&) = delete; | |
1629 | ||
1630 | private: | |
1631 | ||
a8c3f4c9 UD |
1632 | void _M_init(const std::string& __token); |
1633 | void _M_init_pretr1(const std::string& __token); | |
1634 | void _M_fini(); | |
1635 | ||
1636 | result_type _M_getval(); | |
1637 | result_type _M_getval_pretr1(); | |
1638 | ||
1639 | union | |
1640 | { | |
8e79468d | 1641 | FILE* _M_file; |
8e79468d | 1642 | mt19937 _M_mt; |
a8c3f4c9 | 1643 | }; |
8e79468d BK |
1644 | }; |
1645 | ||
037181bc | 1646 | /* @} */ // group random_generators |
8e79468d BK |
1647 | |
1648 | /** | |
037181bc BK |
1649 | * @addtogroup random_distributions Random Number Distributions |
1650 | * @ingroup random | |
8e79468d BK |
1651 | * @{ |
1652 | */ | |
1653 | ||
1654 | /** | |
94a86be0 | 1655 | * @addtogroup random_distributions_uniform Uniform Distributions |
037181bc | 1656 | * @ingroup random_distributions |
8e79468d BK |
1657 | * @{ |
1658 | */ | |
1659 | ||
1660 | /** | |
1661 | * @brief Uniform discrete distribution for random numbers. | |
1662 | * A discrete random distribution on the range @f$[min, max]@f$ with equal | |
1663 | * probability throughout the range. | |
1664 | */ | |
1665 | template<typename _IntType = int> | |
1666 | class uniform_int_distribution | |
1667 | { | |
77e3c516 PC |
1668 | static_assert(std::is_integral<_IntType>::value, |
1669 | "template argument not an integral type"); | |
8e79468d BK |
1670 | |
1671 | public: | |
1672 | /** The type of the range of the distribution. */ | |
1673 | typedef _IntType result_type; | |
1674 | /** Parameter type. */ | |
1675 | struct param_type | |
1676 | { | |
1677 | typedef uniform_int_distribution<_IntType> distribution_type; | |
1678 | ||
1679 | explicit | |
9b88236b PC |
1680 | param_type(_IntType __a = 0, |
1681 | _IntType __b = std::numeric_limits<_IntType>::max()) | |
8e79468d BK |
1682 | : _M_a(__a), _M_b(__b) |
1683 | { | |
1684 | _GLIBCXX_DEBUG_ASSERT(_M_a <= _M_b); | |
1685 | } | |
1686 | ||
1687 | result_type | |
1688 | a() const | |
1689 | { return _M_a; } | |
1690 | ||
1691 | result_type | |
1692 | b() const | |
1693 | { return _M_b; } | |
1694 | ||
fc05e1ba PC |
1695 | friend bool |
1696 | operator==(const param_type& __p1, const param_type& __p2) | |
1697 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
1698 | ||
8e79468d BK |
1699 | private: |
1700 | _IntType _M_a; | |
1701 | _IntType _M_b; | |
1702 | }; | |
1703 | ||
1704 | public: | |
1705 | /** | |
1706 | * @brief Constructs a uniform distribution object. | |
1707 | */ | |
1708 | explicit | |
9b88236b PC |
1709 | uniform_int_distribution(_IntType __a = 0, |
1710 | _IntType __b = std::numeric_limits<_IntType>::max()) | |
8e79468d BK |
1711 | : _M_param(__a, __b) |
1712 | { } | |
1713 | ||
1714 | explicit | |
1715 | uniform_int_distribution(const param_type& __p) | |
1716 | : _M_param(__p) | |
1717 | { } | |
1718 | ||
1719 | /** | |
1720 | * @brief Resets the distribution state. | |
1721 | * | |
1722 | * Does nothing for the uniform integer distribution. | |
1723 | */ | |
1724 | void | |
1725 | reset() { } | |
1726 | ||
1727 | result_type | |
1728 | a() const | |
1729 | { return _M_param.a(); } | |
1730 | ||
1731 | result_type | |
1732 | b() const | |
1733 | { return _M_param.b(); } | |
1734 | ||
8e79468d BK |
1735 | /** |
1736 | * @brief Returns the parameter set of the distribution. | |
1737 | */ | |
1738 | param_type | |
1739 | param() const | |
1740 | { return _M_param; } | |
1741 | ||
1742 | /** | |
1743 | * @brief Sets the parameter set of the distribution. | |
1744 | * @param __param The new parameter set of the distribution. | |
1745 | */ | |
1746 | void | |
1747 | param(const param_type& __param) | |
1748 | { _M_param = __param; } | |
1749 | ||
1750 | /** | |
247d8075 PC |
1751 | * @brief Returns the inclusive lower bound of the distribution range. |
1752 | */ | |
1753 | result_type | |
1754 | min() const | |
1755 | { return this->a(); } | |
1756 | ||
1757 | /** | |
1758 | * @brief Returns the inclusive upper bound of the distribution range. | |
1759 | */ | |
1760 | result_type | |
1761 | max() const | |
1762 | { return this->b(); } | |
1763 | ||
1764 | /** | |
1765 | * @brief Generating functions. | |
8e79468d BK |
1766 | */ |
1767 | template<typename _UniformRandomNumberGenerator> | |
1768 | result_type | |
1769 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 1770 | { return this->operator()(__urng, this->param()); } |
8e79468d | 1771 | |
8e79468d BK |
1772 | template<typename _UniformRandomNumberGenerator> |
1773 | result_type | |
1774 | operator()(_UniformRandomNumberGenerator& __urng, | |
9b88236b | 1775 | const param_type& __p); |
8e79468d | 1776 | |
7b93bdde UD |
1777 | template<typename _ForwardIterator, |
1778 | typename _UniformRandomNumberGenerator> | |
1779 | void | |
1780 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1781 | _UniformRandomNumberGenerator& __urng) | |
1782 | { this->__generate(__f, __t, __urng, this->param()); } | |
1783 | ||
1784 | template<typename _ForwardIterator, | |
1785 | typename _UniformRandomNumberGenerator> | |
1786 | void | |
1787 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1788 | _UniformRandomNumberGenerator& __urng, | |
1789 | const param_type& __p) | |
1790 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1791 | ||
1792 | template<typename _UniformRandomNumberGenerator> | |
1793 | void | |
1794 | __generate(result_type* __f, result_type* __t, | |
1795 | _UniformRandomNumberGenerator& __urng, | |
1796 | const param_type& __p) | |
1797 | { this->__generate_impl(__f, __t, __urng, __p); } | |
1798 | ||
1799 | private: | |
1800 | template<typename _ForwardIterator, | |
1801 | typename _UniformRandomNumberGenerator> | |
1802 | void | |
1803 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
1804 | _UniformRandomNumberGenerator& __urng, | |
1805 | const param_type& __p); | |
1806 | ||
8e79468d BK |
1807 | param_type _M_param; |
1808 | }; | |
1809 | ||
fc05e1ba PC |
1810 | /** |
1811 | * @brief Return true if two uniform integer distributions have | |
1812 | * the same parameters. | |
1813 | */ | |
1814 | template<typename _IntType> | |
1815 | inline bool | |
1816 | operator==(const std::uniform_int_distribution<_IntType>& __d1, | |
1817 | const std::uniform_int_distribution<_IntType>& __d2) | |
1818 | { return __d1.param() == __d2.param(); } | |
1819 | ||
1820 | /** | |
1821 | * @brief Return true if two uniform integer distributions have | |
1822 | * different parameters. | |
1823 | */ | |
1824 | template<typename _IntType> | |
1825 | inline bool | |
1826 | operator!=(const std::uniform_int_distribution<_IntType>& __d1, | |
1827 | const std::uniform_int_distribution<_IntType>& __d2) | |
1828 | { return !(__d1 == __d2); } | |
1829 | ||
8e79468d BK |
1830 | /** |
1831 | * @brief Inserts a %uniform_int_distribution random number | |
1832 | * distribution @p __x into the output stream @p os. | |
1833 | * | |
1834 | * @param __os An output stream. | |
1835 | * @param __x A %uniform_int_distribution random number distribution. | |
1836 | * | |
1837 | * @returns The output stream with the state of @p __x inserted or in | |
1838 | * an error state. | |
1839 | */ | |
1840 | template<typename _IntType, typename _CharT, typename _Traits> | |
1841 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1842 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1843 | const std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1844 | |
1845 | /** | |
1846 | * @brief Extracts a %uniform_int_distribution random number distribution | |
1847 | * @p __x from the input stream @p __is. | |
1848 | * | |
1849 | * @param __is An input stream. | |
1850 | * @param __x A %uniform_int_distribution random number generator engine. | |
1851 | * | |
1852 | * @returns The input stream with @p __x extracted or in an error state. | |
1853 | */ | |
1854 | template<typename _IntType, typename _CharT, typename _Traits> | |
1855 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1856 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1857 | std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1858 | |
1859 | ||
1860 | /** | |
1861 | * @brief Uniform continuous distribution for random numbers. | |
1862 | * | |
1863 | * A continuous random distribution on the range [min, max) with equal | |
1864 | * probability throughout the range. The URNG should be real-valued and | |
1865 | * deliver number in the range [0, 1). | |
1866 | */ | |
1867 | template<typename _RealType = double> | |
1868 | class uniform_real_distribution | |
1869 | { | |
77e3c516 PC |
1870 | static_assert(std::is_floating_point<_RealType>::value, |
1871 | "template argument not a floating point type"); | |
1872 | ||
8e79468d BK |
1873 | public: |
1874 | /** The type of the range of the distribution. */ | |
1875 | typedef _RealType result_type; | |
1876 | /** Parameter type. */ | |
1877 | struct param_type | |
1878 | { | |
1879 | typedef uniform_real_distribution<_RealType> distribution_type; | |
1880 | ||
1881 | explicit | |
1882 | param_type(_RealType __a = _RealType(0), | |
1883 | _RealType __b = _RealType(1)) | |
1884 | : _M_a(__a), _M_b(__b) | |
1885 | { | |
1886 | _GLIBCXX_DEBUG_ASSERT(_M_a <= _M_b); | |
1887 | } | |
1888 | ||
1889 | result_type | |
1890 | a() const | |
1891 | { return _M_a; } | |
1892 | ||
1893 | result_type | |
1894 | b() const | |
1895 | { return _M_b; } | |
1896 | ||
fc05e1ba PC |
1897 | friend bool |
1898 | operator==(const param_type& __p1, const param_type& __p2) | |
1899 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
1900 | ||
8e79468d BK |
1901 | private: |
1902 | _RealType _M_a; | |
1903 | _RealType _M_b; | |
1904 | }; | |
1905 | ||
1906 | public: | |
1907 | /** | |
1908 | * @brief Constructs a uniform_real_distribution object. | |
1909 | * | |
93c66bc6 BK |
1910 | * @param __a [IN] The lower bound of the distribution. |
1911 | * @param __b [IN] The upper bound of the distribution. | |
8e79468d BK |
1912 | */ |
1913 | explicit | |
1914 | uniform_real_distribution(_RealType __a = _RealType(0), | |
1915 | _RealType __b = _RealType(1)) | |
1916 | : _M_param(__a, __b) | |
1917 | { } | |
1918 | ||
1919 | explicit | |
1920 | uniform_real_distribution(const param_type& __p) | |
1921 | : _M_param(__p) | |
1922 | { } | |
1923 | ||
1924 | /** | |
1925 | * @brief Resets the distribution state. | |
1926 | * | |
1927 | * Does nothing for the uniform real distribution. | |
1928 | */ | |
1929 | void | |
1930 | reset() { } | |
1931 | ||
1932 | result_type | |
1933 | a() const | |
1934 | { return _M_param.a(); } | |
1935 | ||
1936 | result_type | |
1937 | b() const | |
1938 | { return _M_param.b(); } | |
1939 | ||
247d8075 PC |
1940 | /** |
1941 | * @brief Returns the parameter set of the distribution. | |
1942 | */ | |
1943 | param_type | |
1944 | param() const | |
1945 | { return _M_param; } | |
1946 | ||
1947 | /** | |
1948 | * @brief Sets the parameter set of the distribution. | |
1949 | * @param __param The new parameter set of the distribution. | |
1950 | */ | |
1951 | void | |
1952 | param(const param_type& __param) | |
1953 | { _M_param = __param; } | |
1954 | ||
8e79468d BK |
1955 | /** |
1956 | * @brief Returns the inclusive lower bound of the distribution range. | |
1957 | */ | |
1958 | result_type | |
1959 | min() const | |
1960 | { return this->a(); } | |
1961 | ||
1962 | /** | |
1963 | * @brief Returns the inclusive upper bound of the distribution range. | |
1964 | */ | |
1965 | result_type | |
1966 | max() const | |
1967 | { return this->b(); } | |
1968 | ||
1969 | /** | |
247d8075 | 1970 | * @brief Generating functions. |
8e79468d | 1971 | */ |
8e79468d BK |
1972 | template<typename _UniformRandomNumberGenerator> |
1973 | result_type | |
1974 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 1975 | { return this->operator()(__urng, this->param()); } |
8e79468d BK |
1976 | |
1977 | template<typename _UniformRandomNumberGenerator> | |
1978 | result_type | |
1979 | operator()(_UniformRandomNumberGenerator& __urng, | |
1980 | const param_type& __p) | |
1981 | { | |
1982 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
1983 | __aurng(__urng); | |
1984 | return (__aurng() * (__p.b() - __p.a())) + __p.a(); | |
1985 | } | |
1986 | ||
7b93bdde UD |
1987 | template<typename _ForwardIterator, |
1988 | typename _UniformRandomNumberGenerator> | |
1989 | void | |
1990 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1991 | _UniformRandomNumberGenerator& __urng) | |
1992 | { this->__generate(__f, __t, __urng, this->param()); } | |
1993 | ||
1994 | template<typename _ForwardIterator, | |
1995 | typename _UniformRandomNumberGenerator> | |
1996 | void | |
1997 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
1998 | _UniformRandomNumberGenerator& __urng, | |
1999 | const param_type& __p) | |
2000 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2001 | ||
2002 | template<typename _UniformRandomNumberGenerator> | |
2003 | void | |
2004 | __generate(result_type* __f, result_type* __t, | |
2005 | _UniformRandomNumberGenerator& __urng, | |
2006 | const param_type& __p) | |
2007 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2008 | ||
8e79468d | 2009 | private: |
7b93bdde UD |
2010 | template<typename _ForwardIterator, |
2011 | typename _UniformRandomNumberGenerator> | |
2012 | void | |
2013 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2014 | _UniformRandomNumberGenerator& __urng, | |
2015 | const param_type& __p); | |
2016 | ||
8e79468d BK |
2017 | param_type _M_param; |
2018 | }; | |
2019 | ||
fc05e1ba PC |
2020 | /** |
2021 | * @brief Return true if two uniform real distributions have | |
2022 | * the same parameters. | |
2023 | */ | |
2024 | template<typename _IntType> | |
2025 | inline bool | |
2026 | operator==(const std::uniform_real_distribution<_IntType>& __d1, | |
2027 | const std::uniform_real_distribution<_IntType>& __d2) | |
2028 | { return __d1.param() == __d2.param(); } | |
2029 | ||
2030 | /** | |
2031 | * @brief Return true if two uniform real distributions have | |
2032 | * different parameters. | |
2033 | */ | |
2034 | template<typename _IntType> | |
2035 | inline bool | |
2036 | operator!=(const std::uniform_real_distribution<_IntType>& __d1, | |
2037 | const std::uniform_real_distribution<_IntType>& __d2) | |
2038 | { return !(__d1 == __d2); } | |
2039 | ||
8e79468d BK |
2040 | /** |
2041 | * @brief Inserts a %uniform_real_distribution random number | |
2042 | * distribution @p __x into the output stream @p __os. | |
2043 | * | |
2044 | * @param __os An output stream. | |
2045 | * @param __x A %uniform_real_distribution random number distribution. | |
2046 | * | |
2047 | * @returns The output stream with the state of @p __x inserted or in | |
2048 | * an error state. | |
2049 | */ | |
2050 | template<typename _RealType, typename _CharT, typename _Traits> | |
2051 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
2052 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
2053 | const std::uniform_real_distribution<_RealType>&); | |
8e79468d BK |
2054 | |
2055 | /** | |
2056 | * @brief Extracts a %uniform_real_distribution random number distribution | |
2057 | * @p __x from the input stream @p __is. | |
2058 | * | |
2059 | * @param __is An input stream. | |
2060 | * @param __x A %uniform_real_distribution random number generator engine. | |
2061 | * | |
2062 | * @returns The input stream with @p __x extracted or in an error state. | |
2063 | */ | |
2064 | template<typename _RealType, typename _CharT, typename _Traits> | |
2065 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
2066 | operator>>(std::basic_istream<_CharT, _Traits>&, |
2067 | std::uniform_real_distribution<_RealType>&); | |
8e79468d | 2068 | |
037181bc | 2069 | /* @} */ // group random_distributions_uniform |
8e79468d BK |
2070 | |
2071 | /** | |
94a86be0 | 2072 | * @addtogroup random_distributions_normal Normal Distributions |
037181bc | 2073 | * @ingroup random_distributions |
8e79468d BK |
2074 | * @{ |
2075 | */ | |
2076 | ||
2077 | /** | |
2078 | * @brief A normal continuous distribution for random numbers. | |
2079 | * | |
2080 | * The formula for the normal probability density function is | |
6cc5a790 BK |
2081 | * @f[ |
2082 | * p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}} | |
2083 | * e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } | |
2084 | * @f] | |
8e79468d BK |
2085 | */ |
2086 | template<typename _RealType = double> | |
2087 | class normal_distribution | |
2088 | { | |
77e3c516 PC |
2089 | static_assert(std::is_floating_point<_RealType>::value, |
2090 | "template argument not a floating point type"); | |
2091 | ||
8e79468d BK |
2092 | public: |
2093 | /** The type of the range of the distribution. */ | |
2094 | typedef _RealType result_type; | |
2095 | /** Parameter type. */ | |
2096 | struct param_type | |
2097 | { | |
2098 | typedef normal_distribution<_RealType> distribution_type; | |
2099 | ||
2100 | explicit | |
2101 | param_type(_RealType __mean = _RealType(0), | |
2102 | _RealType __stddev = _RealType(1)) | |
2103 | : _M_mean(__mean), _M_stddev(__stddev) | |
2104 | { | |
2105 | _GLIBCXX_DEBUG_ASSERT(_M_stddev > _RealType(0)); | |
2106 | } | |
2107 | ||
2108 | _RealType | |
2109 | mean() const | |
2110 | { return _M_mean; } | |
2111 | ||
2112 | _RealType | |
2113 | stddev() const | |
2114 | { return _M_stddev; } | |
2115 | ||
fc05e1ba PC |
2116 | friend bool |
2117 | operator==(const param_type& __p1, const param_type& __p2) | |
2118 | { return (__p1._M_mean == __p2._M_mean | |
2119 | && __p1._M_stddev == __p2._M_stddev); } | |
2120 | ||
8e79468d BK |
2121 | private: |
2122 | _RealType _M_mean; | |
2123 | _RealType _M_stddev; | |
2124 | }; | |
2125 | ||
2126 | public: | |
2127 | /** | |
6cc5a790 | 2128 | * Constructs a normal distribution with parameters @f$mean@f$ and |
8e79468d BK |
2129 | * standard deviation. |
2130 | */ | |
2131 | explicit | |
2132 | normal_distribution(result_type __mean = result_type(0), | |
2133 | result_type __stddev = result_type(1)) | |
2134 | : _M_param(__mean, __stddev), _M_saved_available(false) | |
2135 | { } | |
2136 | ||
2137 | explicit | |
2138 | normal_distribution(const param_type& __p) | |
2139 | : _M_param(__p), _M_saved_available(false) | |
2140 | { } | |
2141 | ||
2142 | /** | |
2143 | * @brief Resets the distribution state. | |
2144 | */ | |
2145 | void | |
2146 | reset() | |
2147 | { _M_saved_available = false; } | |
2148 | ||
2149 | /** | |
2150 | * @brief Returns the mean of the distribution. | |
2151 | */ | |
2152 | _RealType | |
2153 | mean() const | |
2154 | { return _M_param.mean(); } | |
2155 | ||
2156 | /** | |
2157 | * @brief Returns the standard deviation of the distribution. | |
2158 | */ | |
2159 | _RealType | |
2160 | stddev() const | |
2161 | { return _M_param.stddev(); } | |
2162 | ||
2163 | /** | |
2164 | * @brief Returns the parameter set of the distribution. | |
2165 | */ | |
2166 | param_type | |
2167 | param() const | |
2168 | { return _M_param; } | |
2169 | ||
2170 | /** | |
2171 | * @brief Sets the parameter set of the distribution. | |
2172 | * @param __param The new parameter set of the distribution. | |
2173 | */ | |
2174 | void | |
2175 | param(const param_type& __param) | |
2176 | { _M_param = __param; } | |
2177 | ||
2178 | /** | |
2179 | * @brief Returns the greatest lower bound value of the distribution. | |
2180 | */ | |
2181 | result_type | |
2182 | min() const | |
2183 | { return std::numeric_limits<result_type>::min(); } | |
2184 | ||
2185 | /** | |
2186 | * @brief Returns the least upper bound value of the distribution. | |
2187 | */ | |
2188 | result_type | |
2189 | max() const | |
2190 | { return std::numeric_limits<result_type>::max(); } | |
2191 | ||
247d8075 PC |
2192 | /** |
2193 | * @brief Generating functions. | |
2194 | */ | |
8e79468d BK |
2195 | template<typename _UniformRandomNumberGenerator> |
2196 | result_type | |
2197 | operator()(_UniformRandomNumberGenerator& __urng) | |
2198 | { return this->operator()(__urng, this->param()); } | |
2199 | ||
2200 | template<typename _UniformRandomNumberGenerator> | |
2201 | result_type | |
2202 | operator()(_UniformRandomNumberGenerator& __urng, | |
2203 | const param_type& __p); | |
2204 | ||
7b93bdde UD |
2205 | template<typename _ForwardIterator, |
2206 | typename _UniformRandomNumberGenerator> | |
2207 | void | |
2208 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2209 | _UniformRandomNumberGenerator& __urng) | |
2210 | { this->__generate(__f, __t, __urng, this->param()); } | |
2211 | ||
2212 | template<typename _ForwardIterator, | |
2213 | typename _UniformRandomNumberGenerator> | |
2214 | void | |
2215 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2216 | _UniformRandomNumberGenerator& __urng, | |
2217 | const param_type& __p) | |
2218 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2219 | ||
2220 | template<typename _UniformRandomNumberGenerator> | |
2221 | void | |
2222 | __generate(result_type* __f, result_type* __t, | |
2223 | _UniformRandomNumberGenerator& __urng, | |
2224 | const param_type& __p) | |
2225 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2226 | ||
fc05e1ba PC |
2227 | /** |
2228 | * @brief Return true if two normal distributions have | |
2229 | * the same parameters and the sequences that would | |
2230 | * be generated are equal. | |
2231 | */ | |
2232 | template<typename _RealType1> | |
2233 | friend bool | |
2234 | operator==(const std::normal_distribution<_RealType1>& __d1, | |
2235 | const std::normal_distribution<_RealType1>& __d2); | |
2236 | ||
8e79468d BK |
2237 | /** |
2238 | * @brief Inserts a %normal_distribution random number distribution | |
2239 | * @p __x into the output stream @p __os. | |
2240 | * | |
2241 | * @param __os An output stream. | |
2242 | * @param __x A %normal_distribution random number distribution. | |
2243 | * | |
2244 | * @returns The output stream with the state of @p __x inserted or in | |
2245 | * an error state. | |
2246 | */ | |
2247 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2248 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2249 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2250 | const std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2251 | |
2252 | /** | |
2253 | * @brief Extracts a %normal_distribution random number distribution | |
2254 | * @p __x from the input stream @p __is. | |
2255 | * | |
2256 | * @param __is An input stream. | |
2257 | * @param __x A %normal_distribution random number generator engine. | |
2258 | * | |
2259 | * @returns The input stream with @p __x extracted or in an error | |
2260 | * state. | |
2261 | */ | |
2262 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2263 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2264 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2265 | std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2266 | |
2267 | private: | |
7b93bdde UD |
2268 | template<typename _ForwardIterator, |
2269 | typename _UniformRandomNumberGenerator> | |
2270 | void | |
2271 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2272 | _UniformRandomNumberGenerator& __urng, | |
2273 | const param_type& __p); | |
2274 | ||
8e79468d BK |
2275 | param_type _M_param; |
2276 | result_type _M_saved; | |
2277 | bool _M_saved_available; | |
2278 | }; | |
2279 | ||
fc05e1ba PC |
2280 | /** |
2281 | * @brief Return true if two normal distributions are different. | |
2282 | */ | |
2283 | template<typename _RealType> | |
2284 | inline bool | |
2285 | operator!=(const std::normal_distribution<_RealType>& __d1, | |
2286 | const std::normal_distribution<_RealType>& __d2) | |
2287 | { return !(__d1 == __d2); } | |
2288 | ||
8e79468d BK |
2289 | |
2290 | /** | |
2291 | * @brief A lognormal_distribution random number distribution. | |
2292 | * | |
2293 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
2294 | * @f[ |
2295 | * p(x|m,s) = \frac{1}{sx\sqrt{2\pi}} | |
2296 | * \exp{-\frac{(\ln{x} - m)^2}{2s^2}} | |
2297 | * @f] | |
8e79468d BK |
2298 | */ |
2299 | template<typename _RealType = double> | |
2300 | class lognormal_distribution | |
2301 | { | |
77e3c516 PC |
2302 | static_assert(std::is_floating_point<_RealType>::value, |
2303 | "template argument not a floating point type"); | |
2304 | ||
8e79468d BK |
2305 | public: |
2306 | /** The type of the range of the distribution. */ | |
2307 | typedef _RealType result_type; | |
2308 | /** Parameter type. */ | |
2309 | struct param_type | |
2310 | { | |
2311 | typedef lognormal_distribution<_RealType> distribution_type; | |
2312 | ||
2313 | explicit | |
2314 | param_type(_RealType __m = _RealType(0), | |
2315 | _RealType __s = _RealType(1)) | |
2316 | : _M_m(__m), _M_s(__s) | |
2317 | { } | |
2318 | ||
2319 | _RealType | |
2320 | m() const | |
2321 | { return _M_m; } | |
2322 | ||
2323 | _RealType | |
2324 | s() const | |
2325 | { return _M_s; } | |
2326 | ||
fc05e1ba PC |
2327 | friend bool |
2328 | operator==(const param_type& __p1, const param_type& __p2) | |
2329 | { return __p1._M_m == __p2._M_m && __p1._M_s == __p2._M_s; } | |
2330 | ||
8e79468d BK |
2331 | private: |
2332 | _RealType _M_m; | |
2333 | _RealType _M_s; | |
2334 | }; | |
2335 | ||
2336 | explicit | |
2337 | lognormal_distribution(_RealType __m = _RealType(0), | |
2338 | _RealType __s = _RealType(1)) | |
b01630bb | 2339 | : _M_param(__m, __s), _M_nd() |
8e79468d BK |
2340 | { } |
2341 | ||
2342 | explicit | |
2343 | lognormal_distribution(const param_type& __p) | |
b01630bb | 2344 | : _M_param(__p), _M_nd() |
8e79468d BK |
2345 | { } |
2346 | ||
2347 | /** | |
2348 | * Resets the distribution state. | |
2349 | */ | |
2350 | void | |
2351 | reset() | |
b01630bb | 2352 | { _M_nd.reset(); } |
8e79468d BK |
2353 | |
2354 | /** | |
2355 | * | |
2356 | */ | |
2357 | _RealType | |
2358 | m() const | |
2359 | { return _M_param.m(); } | |
2360 | ||
2361 | _RealType | |
2362 | s() const | |
2363 | { return _M_param.s(); } | |
2364 | ||
2365 | /** | |
2366 | * @brief Returns the parameter set of the distribution. | |
2367 | */ | |
2368 | param_type | |
2369 | param() const | |
2370 | { return _M_param; } | |
2371 | ||
2372 | /** | |
2373 | * @brief Sets the parameter set of the distribution. | |
2374 | * @param __param The new parameter set of the distribution. | |
2375 | */ | |
2376 | void | |
2377 | param(const param_type& __param) | |
2378 | { _M_param = __param; } | |
2379 | ||
2380 | /** | |
2381 | * @brief Returns the greatest lower bound value of the distribution. | |
2382 | */ | |
2383 | result_type | |
2384 | min() const | |
2385 | { return result_type(0); } | |
2386 | ||
2387 | /** | |
2388 | * @brief Returns the least upper bound value of the distribution. | |
2389 | */ | |
2390 | result_type | |
2391 | max() const | |
2392 | { return std::numeric_limits<result_type>::max(); } | |
2393 | ||
247d8075 PC |
2394 | /** |
2395 | * @brief Generating functions. | |
2396 | */ | |
8e79468d BK |
2397 | template<typename _UniformRandomNumberGenerator> |
2398 | result_type | |
2399 | operator()(_UniformRandomNumberGenerator& __urng) | |
2400 | { return this->operator()(__urng, this->param()); } | |
2401 | ||
2402 | template<typename _UniformRandomNumberGenerator> | |
2403 | result_type | |
2404 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb PC |
2405 | const param_type& __p) |
2406 | { return std::exp(__p.s() * _M_nd(__urng) + __p.m()); } | |
8e79468d | 2407 | |
7b93bdde UD |
2408 | template<typename _ForwardIterator, |
2409 | typename _UniformRandomNumberGenerator> | |
2410 | void | |
2411 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2412 | _UniformRandomNumberGenerator& __urng) | |
2413 | { this->__generate(__f, __t, __urng, this->param()); } | |
2414 | ||
2415 | template<typename _ForwardIterator, | |
2416 | typename _UniformRandomNumberGenerator> | |
2417 | void | |
2418 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2419 | _UniformRandomNumberGenerator& __urng, | |
2420 | const param_type& __p) | |
2421 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2422 | ||
2423 | template<typename _UniformRandomNumberGenerator> | |
2424 | void | |
2425 | __generate(result_type* __f, result_type* __t, | |
2426 | _UniformRandomNumberGenerator& __urng, | |
2427 | const param_type& __p) | |
2428 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2429 | ||
fc05e1ba PC |
2430 | /** |
2431 | * @brief Return true if two lognormal distributions have | |
2432 | * the same parameters and the sequences that would | |
2433 | * be generated are equal. | |
2434 | */ | |
a30e18c1 MG |
2435 | friend bool |
2436 | operator==(const lognormal_distribution& __d1, | |
2437 | const lognormal_distribution& __d2) | |
2438 | { return (__d1.param() == __d2.param() | |
2439 | && __d1._M_nd == __d2._M_nd); } | |
fc05e1ba | 2440 | |
e1923769 ESR |
2441 | /** |
2442 | * @brief Inserts a %lognormal_distribution random number distribution | |
2443 | * @p __x into the output stream @p __os. | |
2444 | * | |
2445 | * @param __os An output stream. | |
2446 | * @param __x A %lognormal_distribution random number distribution. | |
2447 | * | |
2448 | * @returns The output stream with the state of @p __x inserted or in | |
2449 | * an error state. | |
2450 | */ | |
2451 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2452 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2453 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2454 | const std::lognormal_distribution<_RealType1>& __x); | |
e1923769 ESR |
2455 | |
2456 | /** | |
2457 | * @brief Extracts a %lognormal_distribution random number distribution | |
2458 | * @p __x from the input stream @p __is. | |
2459 | * | |
2460 | * @param __is An input stream. | |
2461 | * @param __x A %lognormal_distribution random number | |
2462 | * generator engine. | |
2463 | * | |
2464 | * @returns The input stream with @p __x extracted or in an error state. | |
2465 | */ | |
2466 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2467 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2468 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2469 | std::lognormal_distribution<_RealType1>& __x); | |
e1923769 | 2470 | |
8e79468d | 2471 | private: |
7b93bdde UD |
2472 | template<typename _ForwardIterator, |
2473 | typename _UniformRandomNumberGenerator> | |
2474 | void | |
2475 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2476 | _UniformRandomNumberGenerator& __urng, | |
2477 | const param_type& __p); | |
2478 | ||
8e79468d | 2479 | param_type _M_param; |
b01630bb | 2480 | |
f9b09dec | 2481 | std::normal_distribution<result_type> _M_nd; |
8e79468d BK |
2482 | }; |
2483 | ||
fc05e1ba PC |
2484 | /** |
2485 | * @brief Return true if two lognormal distributions are different. | |
2486 | */ | |
2487 | template<typename _RealType> | |
2488 | inline bool | |
2489 | operator!=(const std::lognormal_distribution<_RealType>& __d1, | |
2490 | const std::lognormal_distribution<_RealType>& __d2) | |
2491 | { return !(__d1 == __d2); } | |
2492 | ||
2493 | ||
f9b09dec PC |
2494 | /** |
2495 | * @brief A gamma continuous distribution for random numbers. | |
2496 | * | |
6cc5a790 BK |
2497 | * The formula for the gamma probability density function is: |
2498 | * @f[ | |
2499 | * p(x|\alpha,\beta) = \frac{1}{\beta\Gamma(\alpha)} | |
2500 | * (x/\beta)^{\alpha - 1} e^{-x/\beta} | |
2501 | * @f] | |
f9b09dec PC |
2502 | */ |
2503 | template<typename _RealType = double> | |
2504 | class gamma_distribution | |
2505 | { | |
77e3c516 PC |
2506 | static_assert(std::is_floating_point<_RealType>::value, |
2507 | "template argument not a floating point type"); | |
2508 | ||
f9b09dec PC |
2509 | public: |
2510 | /** The type of the range of the distribution. */ | |
2511 | typedef _RealType result_type; | |
2512 | /** Parameter type. */ | |
2513 | struct param_type | |
2514 | { | |
2515 | typedef gamma_distribution<_RealType> distribution_type; | |
2516 | friend class gamma_distribution<_RealType>; | |
2517 | ||
2518 | explicit | |
2519 | param_type(_RealType __alpha_val = _RealType(1), | |
2520 | _RealType __beta_val = _RealType(1)) | |
2521 | : _M_alpha(__alpha_val), _M_beta(__beta_val) | |
2522 | { | |
2523 | _GLIBCXX_DEBUG_ASSERT(_M_alpha > _RealType(0)); | |
2524 | _M_initialize(); | |
2525 | } | |
2526 | ||
2527 | _RealType | |
2528 | alpha() const | |
2529 | { return _M_alpha; } | |
2530 | ||
2531 | _RealType | |
2532 | beta() const | |
2533 | { return _M_beta; } | |
2534 | ||
fc05e1ba PC |
2535 | friend bool |
2536 | operator==(const param_type& __p1, const param_type& __p2) | |
2537 | { return (__p1._M_alpha == __p2._M_alpha | |
2538 | && __p1._M_beta == __p2._M_beta); } | |
2539 | ||
f9b09dec PC |
2540 | private: |
2541 | void | |
2542 | _M_initialize(); | |
2543 | ||
2544 | _RealType _M_alpha; | |
2545 | _RealType _M_beta; | |
2546 | ||
2547 | _RealType _M_malpha, _M_a2; | |
2548 | }; | |
2549 | ||
2550 | public: | |
2551 | /** | |
2552 | * @brief Constructs a gamma distribution with parameters | |
6cc5a790 | 2553 | * @f$\alpha@f$ and @f$\beta@f$. |
f9b09dec PC |
2554 | */ |
2555 | explicit | |
2556 | gamma_distribution(_RealType __alpha_val = _RealType(1), | |
2557 | _RealType __beta_val = _RealType(1)) | |
2558 | : _M_param(__alpha_val, __beta_val), _M_nd() | |
2559 | { } | |
2560 | ||
2561 | explicit | |
2562 | gamma_distribution(const param_type& __p) | |
2563 | : _M_param(__p), _M_nd() | |
2564 | { } | |
2565 | ||
2566 | /** | |
2567 | * @brief Resets the distribution state. | |
2568 | */ | |
2569 | void | |
2570 | reset() | |
2571 | { _M_nd.reset(); } | |
2572 | ||
2573 | /** | |
6cc5a790 | 2574 | * @brief Returns the @f$\alpha@f$ of the distribution. |
f9b09dec PC |
2575 | */ |
2576 | _RealType | |
2577 | alpha() const | |
2578 | { return _M_param.alpha(); } | |
2579 | ||
2580 | /** | |
6cc5a790 | 2581 | * @brief Returns the @f$\beta@f$ of the distribution. |
f9b09dec PC |
2582 | */ |
2583 | _RealType | |
2584 | beta() const | |
2585 | { return _M_param.beta(); } | |
2586 | ||
2587 | /** | |
2588 | * @brief Returns the parameter set of the distribution. | |
2589 | */ | |
2590 | param_type | |
2591 | param() const | |
2592 | { return _M_param; } | |
2593 | ||
2594 | /** | |
2595 | * @brief Sets the parameter set of the distribution. | |
2596 | * @param __param The new parameter set of the distribution. | |
2597 | */ | |
2598 | void | |
2599 | param(const param_type& __param) | |
2600 | { _M_param = __param; } | |
2601 | ||
2602 | /** | |
2603 | * @brief Returns the greatest lower bound value of the distribution. | |
2604 | */ | |
2605 | result_type | |
2606 | min() const | |
2607 | { return result_type(0); } | |
2608 | ||
2609 | /** | |
2610 | * @brief Returns the least upper bound value of the distribution. | |
2611 | */ | |
2612 | result_type | |
2613 | max() const | |
2614 | { return std::numeric_limits<result_type>::max(); } | |
2615 | ||
247d8075 PC |
2616 | /** |
2617 | * @brief Generating functions. | |
2618 | */ | |
f9b09dec PC |
2619 | template<typename _UniformRandomNumberGenerator> |
2620 | result_type | |
2621 | operator()(_UniformRandomNumberGenerator& __urng) | |
2622 | { return this->operator()(__urng, this->param()); } | |
2623 | ||
2624 | template<typename _UniformRandomNumberGenerator> | |
2625 | result_type | |
2626 | operator()(_UniformRandomNumberGenerator& __urng, | |
2627 | const param_type& __p); | |
2628 | ||
7b93bdde UD |
2629 | template<typename _ForwardIterator, |
2630 | typename _UniformRandomNumberGenerator> | |
2631 | void | |
2632 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2633 | _UniformRandomNumberGenerator& __urng) | |
2634 | { this->__generate(__f, __t, __urng, this->param()); } | |
2635 | ||
2636 | template<typename _ForwardIterator, | |
2637 | typename _UniformRandomNumberGenerator> | |
2638 | void | |
2639 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2640 | _UniformRandomNumberGenerator& __urng, | |
2641 | const param_type& __p) | |
2642 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2643 | ||
2644 | template<typename _UniformRandomNumberGenerator> | |
2645 | void | |
2646 | __generate(result_type* __f, result_type* __t, | |
2647 | _UniformRandomNumberGenerator& __urng, | |
2648 | const param_type& __p) | |
2649 | { this->__generate_impl(__f, __t, __urng, __p); } | |
2650 | ||
fc05e1ba PC |
2651 | /** |
2652 | * @brief Return true if two gamma distributions have the same | |
2653 | * parameters and the sequences that would be generated | |
2654 | * are equal. | |
2655 | */ | |
a30e18c1 MG |
2656 | friend bool |
2657 | operator==(const gamma_distribution& __d1, | |
2658 | const gamma_distribution& __d2) | |
2659 | { return (__d1.param() == __d2.param() | |
2660 | && __d1._M_nd == __d2._M_nd); } | |
fc05e1ba | 2661 | |
e1923769 ESR |
2662 | /** |
2663 | * @brief Inserts a %gamma_distribution random number distribution | |
2664 | * @p __x into the output stream @p __os. | |
2665 | * | |
2666 | * @param __os An output stream. | |
2667 | * @param __x A %gamma_distribution random number distribution. | |
2668 | * | |
2669 | * @returns The output stream with the state of @p __x inserted or in | |
2670 | * an error state. | |
2671 | */ | |
2672 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2673 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2674 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2675 | const std::gamma_distribution<_RealType1>& __x); | |
e1923769 ESR |
2676 | |
2677 | /** | |
2678 | * @brief Extracts a %gamma_distribution random number distribution | |
2679 | * @p __x from the input stream @p __is. | |
2680 | * | |
2681 | * @param __is An input stream. | |
2682 | * @param __x A %gamma_distribution random number generator engine. | |
2683 | * | |
2684 | * @returns The input stream with @p __x extracted or in an error state. | |
2685 | */ | |
2686 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2687 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2688 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2689 | std::gamma_distribution<_RealType1>& __x); | |
e1923769 | 2690 | |
f9b09dec | 2691 | private: |
7b93bdde UD |
2692 | template<typename _ForwardIterator, |
2693 | typename _UniformRandomNumberGenerator> | |
2694 | void | |
2695 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2696 | _UniformRandomNumberGenerator& __urng, | |
2697 | const param_type& __p); | |
2698 | ||
f9b09dec PC |
2699 | param_type _M_param; |
2700 | ||
2701 | std::normal_distribution<result_type> _M_nd; | |
2702 | }; | |
2703 | ||
fc05e1ba PC |
2704 | /** |
2705 | * @brief Return true if two gamma distributions are different. | |
2706 | */ | |
2707 | template<typename _RealType> | |
a30e18c1 | 2708 | inline bool |
fc05e1ba PC |
2709 | operator!=(const std::gamma_distribution<_RealType>& __d1, |
2710 | const std::gamma_distribution<_RealType>& __d2) | |
2711 | { return !(__d1 == __d2); } | |
2712 | ||
8e79468d BK |
2713 | |
2714 | /** | |
2715 | * @brief A chi_squared_distribution random number distribution. | |
2716 | * | |
2717 | * The formula for the normal probability mass function is | |
6cc5a790 | 2718 | * @f$p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}}@f$ |
8e79468d BK |
2719 | */ |
2720 | template<typename _RealType = double> | |
2721 | class chi_squared_distribution | |
2722 | { | |
77e3c516 PC |
2723 | static_assert(std::is_floating_point<_RealType>::value, |
2724 | "template argument not a floating point type"); | |
2725 | ||
8e79468d BK |
2726 | public: |
2727 | /** The type of the range of the distribution. */ | |
2728 | typedef _RealType result_type; | |
2729 | /** Parameter type. */ | |
2730 | struct param_type | |
2731 | { | |
2732 | typedef chi_squared_distribution<_RealType> distribution_type; | |
2733 | ||
2734 | explicit | |
2735 | param_type(_RealType __n = _RealType(1)) | |
2736 | : _M_n(__n) | |
2737 | { } | |
2738 | ||
2739 | _RealType | |
2740 | n() const | |
2741 | { return _M_n; } | |
2742 | ||
fc05e1ba PC |
2743 | friend bool |
2744 | operator==(const param_type& __p1, const param_type& __p2) | |
2745 | { return __p1._M_n == __p2._M_n; } | |
2746 | ||
8e79468d BK |
2747 | private: |
2748 | _RealType _M_n; | |
2749 | }; | |
2750 | ||
2751 | explicit | |
2752 | chi_squared_distribution(_RealType __n = _RealType(1)) | |
f9b09dec | 2753 | : _M_param(__n), _M_gd(__n / 2) |
8e79468d BK |
2754 | { } |
2755 | ||
2756 | explicit | |
2757 | chi_squared_distribution(const param_type& __p) | |
f9b09dec | 2758 | : _M_param(__p), _M_gd(__p.n() / 2) |
8e79468d BK |
2759 | { } |
2760 | ||
2761 | /** | |
2762 | * @brief Resets the distribution state. | |
2763 | */ | |
2764 | void | |
2765 | reset() | |
f9b09dec | 2766 | { _M_gd.reset(); } |
8e79468d BK |
2767 | |
2768 | /** | |
2769 | * | |
2770 | */ | |
2771 | _RealType | |
2772 | n() const | |
2773 | { return _M_param.n(); } | |
2774 | ||
2775 | /** | |
2776 | * @brief Returns the parameter set of the distribution. | |
2777 | */ | |
2778 | param_type | |
2779 | param() const | |
2780 | { return _M_param; } | |
2781 | ||
2782 | /** | |
2783 | * @brief Sets the parameter set of the distribution. | |
2784 | * @param __param The new parameter set of the distribution. | |
2785 | */ | |
2786 | void | |
2787 | param(const param_type& __param) | |
2788 | { _M_param = __param; } | |
2789 | ||
2790 | /** | |
2791 | * @brief Returns the greatest lower bound value of the distribution. | |
2792 | */ | |
2793 | result_type | |
2794 | min() const | |
2795 | { return result_type(0); } | |
2796 | ||
2797 | /** | |
2798 | * @brief Returns the least upper bound value of the distribution. | |
2799 | */ | |
2800 | result_type | |
2801 | max() const | |
2802 | { return std::numeric_limits<result_type>::max(); } | |
2803 | ||
247d8075 PC |
2804 | /** |
2805 | * @brief Generating functions. | |
2806 | */ | |
8e79468d BK |
2807 | template<typename _UniformRandomNumberGenerator> |
2808 | result_type | |
2809 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 2810 | { return 2 * _M_gd(__urng); } |
8e79468d BK |
2811 | |
2812 | template<typename _UniformRandomNumberGenerator> | |
2813 | result_type | |
2814 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
2815 | const param_type& __p) |
2816 | { | |
2817 | typedef typename std::gamma_distribution<result_type>::param_type | |
2818 | param_type; | |
2819 | return 2 * _M_gd(__urng, param_type(__p.n() / 2)); | |
2820 | } | |
8e79468d | 2821 | |
7b93bdde UD |
2822 | template<typename _ForwardIterator, |
2823 | typename _UniformRandomNumberGenerator> | |
2824 | void | |
2825 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2826 | _UniformRandomNumberGenerator& __urng) | |
2827 | { this->__generate_impl(__f, __t, __urng, _M_gd.param()); } | |
2828 | ||
2829 | template<typename _ForwardIterator, | |
2830 | typename _UniformRandomNumberGenerator> | |
2831 | void | |
2832 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
2833 | _UniformRandomNumberGenerator& __urng, | |
2834 | const param_type& __p) | |
2835 | { typename std::gamma_distribution<result_type>::param_type | |
2836 | __p2(__p.n() / 2); | |
2837 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2838 | ||
2839 | template<typename _UniformRandomNumberGenerator> | |
2840 | void | |
2841 | __generate(result_type* __f, result_type* __t, | |
2842 | _UniformRandomNumberGenerator& __urng) | |
2843 | { typename std::gamma_distribution<result_type>::param_type | |
2844 | __p2(_M_gd.param()); | |
2845 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2846 | ||
2847 | template<typename _UniformRandomNumberGenerator> | |
2848 | void | |
2849 | __generate(result_type* __f, result_type* __t, | |
2850 | _UniformRandomNumberGenerator& __urng, | |
2851 | const param_type& __p) | |
2852 | { typename std::gamma_distribution<result_type>::param_type | |
2853 | __p2(__p.n() / 2); | |
2854 | this->__generate_impl(__f, __t, __urng, __p2); } | |
2855 | ||
fc05e1ba PC |
2856 | /** |
2857 | * @brief Return true if two Chi-squared distributions have | |
2858 | * the same parameters and the sequences that would be | |
2859 | * generated are equal. | |
2860 | */ | |
a30e18c1 MG |
2861 | friend bool |
2862 | operator==(const chi_squared_distribution& __d1, | |
2863 | const chi_squared_distribution& __d2) | |
2864 | { return __d1.param() == __d2.param() && __d1._M_gd == __d2._M_gd; } | |
fc05e1ba | 2865 | |
e1923769 ESR |
2866 | /** |
2867 | * @brief Inserts a %chi_squared_distribution random number distribution | |
2868 | * @p __x into the output stream @p __os. | |
2869 | * | |
2870 | * @param __os An output stream. | |
2871 | * @param __x A %chi_squared_distribution random number distribution. | |
2872 | * | |
2873 | * @returns The output stream with the state of @p __x inserted or in | |
2874 | * an error state. | |
2875 | */ | |
2876 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2877 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2878 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2879 | const std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 ESR |
2880 | |
2881 | /** | |
2882 | * @brief Extracts a %chi_squared_distribution random number distribution | |
2883 | * @p __x from the input stream @p __is. | |
2884 | * | |
2885 | * @param __is An input stream. | |
2886 | * @param __x A %chi_squared_distribution random number | |
2887 | * generator engine. | |
2888 | * | |
2889 | * @returns The input stream with @p __x extracted or in an error state. | |
2890 | */ | |
2891 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2892 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2893 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2894 | std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 | 2895 | |
8e79468d | 2896 | private: |
7b93bdde UD |
2897 | template<typename _ForwardIterator, |
2898 | typename _UniformRandomNumberGenerator> | |
2899 | void | |
2900 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
2901 | _UniformRandomNumberGenerator& __urng, | |
2902 | typename std::gamma_distribution<result_type>::param_type& | |
2903 | __p); | |
2904 | ||
8e79468d | 2905 | param_type _M_param; |
f9b09dec PC |
2906 | |
2907 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
2908 | }; |
2909 | ||
fc05e1ba PC |
2910 | /** |
2911 | * @brief Return true if two Chi-squared distributions are different. | |
2912 | */ | |
2913 | template<typename _RealType> | |
2914 | inline bool | |
2915 | operator!=(const std::chi_squared_distribution<_RealType>& __d1, | |
2916 | const std::chi_squared_distribution<_RealType>& __d2) | |
2917 | { return !(__d1 == __d2); } | |
2918 | ||
8e79468d BK |
2919 | |
2920 | /** | |
2921 | * @brief A cauchy_distribution random number distribution. | |
2922 | * | |
2923 | * The formula for the normal probability mass function is | |
6cc5a790 | 2924 | * @f$p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1}@f$ |
8e79468d BK |
2925 | */ |
2926 | template<typename _RealType = double> | |
2927 | class cauchy_distribution | |
2928 | { | |
77e3c516 PC |
2929 | static_assert(std::is_floating_point<_RealType>::value, |
2930 | "template argument not a floating point type"); | |
2931 | ||
8e79468d BK |
2932 | public: |
2933 | /** The type of the range of the distribution. */ | |
2934 | typedef _RealType result_type; | |
2935 | /** Parameter type. */ | |
2936 | struct param_type | |
2937 | { | |
2938 | typedef cauchy_distribution<_RealType> distribution_type; | |
2939 | ||
2940 | explicit | |
2941 | param_type(_RealType __a = _RealType(0), | |
2942 | _RealType __b = _RealType(1)) | |
2943 | : _M_a(__a), _M_b(__b) | |
2944 | { } | |
2945 | ||
2946 | _RealType | |
2947 | a() const | |
2948 | { return _M_a; } | |
2949 | ||
2950 | _RealType | |
2951 | b() const | |
2952 | { return _M_b; } | |
2953 | ||
fc05e1ba PC |
2954 | friend bool |
2955 | operator==(const param_type& __p1, const param_type& __p2) | |
2956 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
2957 | ||
8e79468d BK |
2958 | private: |
2959 | _RealType _M_a; | |
2960 | _RealType _M_b; | |
2961 | }; | |
2962 | ||
2963 | explicit | |
2964 | cauchy_distribution(_RealType __a = _RealType(0), | |
2965 | _RealType __b = _RealType(1)) | |
2966 | : _M_param(__a, __b) | |
2967 | { } | |
2968 | ||
2969 | explicit | |
2970 | cauchy_distribution(const param_type& __p) | |
2971 | : _M_param(__p) | |
2972 | { } | |
2973 | ||
2974 | /** | |
2975 | * @brief Resets the distribution state. | |
2976 | */ | |
2977 | void | |
2978 | reset() | |
2979 | { } | |
2980 | ||
2981 | /** | |
2982 | * | |
2983 | */ | |
2984 | _RealType | |
2985 | a() const | |
2986 | { return _M_param.a(); } | |
2987 | ||
2988 | _RealType | |
2989 | b() const | |
2990 | { return _M_param.b(); } | |
2991 | ||
2992 | /** | |
2993 | * @brief Returns the parameter set of the distribution. | |
2994 | */ | |
2995 | param_type | |
2996 | param() const | |
2997 | { return _M_param; } | |
2998 | ||
2999 | /** | |
3000 | * @brief Sets the parameter set of the distribution. | |
3001 | * @param __param The new parameter set of the distribution. | |
3002 | */ | |
3003 | void | |
3004 | param(const param_type& __param) | |
3005 | { _M_param = __param; } | |
3006 | ||
3007 | /** | |
3008 | * @brief Returns the greatest lower bound value of the distribution. | |
3009 | */ | |
3010 | result_type | |
3011 | min() const | |
3012 | { return std::numeric_limits<result_type>::min(); } | |
3013 | ||
3014 | /** | |
3015 | * @brief Returns the least upper bound value of the distribution. | |
3016 | */ | |
3017 | result_type | |
3018 | max() const | |
3019 | { return std::numeric_limits<result_type>::max(); } | |
3020 | ||
247d8075 PC |
3021 | /** |
3022 | * @brief Generating functions. | |
3023 | */ | |
8e79468d BK |
3024 | template<typename _UniformRandomNumberGenerator> |
3025 | result_type | |
3026 | operator()(_UniformRandomNumberGenerator& __urng) | |
3027 | { return this->operator()(__urng, this->param()); } | |
3028 | ||
3029 | template<typename _UniformRandomNumberGenerator> | |
3030 | result_type | |
3031 | operator()(_UniformRandomNumberGenerator& __urng, | |
3032 | const param_type& __p); | |
3033 | ||
7b93bdde UD |
3034 | template<typename _ForwardIterator, |
3035 | typename _UniformRandomNumberGenerator> | |
3036 | void | |
3037 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3038 | _UniformRandomNumberGenerator& __urng) | |
3039 | { this->__generate(__f, __t, __urng, this->param()); } | |
3040 | ||
3041 | template<typename _ForwardIterator, | |
3042 | typename _UniformRandomNumberGenerator> | |
3043 | void | |
3044 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3045 | _UniformRandomNumberGenerator& __urng, | |
3046 | const param_type& __p) | |
3047 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3048 | ||
3049 | template<typename _UniformRandomNumberGenerator> | |
3050 | void | |
3051 | __generate(result_type* __f, result_type* __t, | |
3052 | _UniformRandomNumberGenerator& __urng, | |
3053 | const param_type& __p) | |
3054 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3055 | ||
8e79468d | 3056 | private: |
7b93bdde UD |
3057 | template<typename _ForwardIterator, |
3058 | typename _UniformRandomNumberGenerator> | |
3059 | void | |
3060 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3061 | _UniformRandomNumberGenerator& __urng, | |
3062 | const param_type& __p); | |
3063 | ||
8e79468d BK |
3064 | param_type _M_param; |
3065 | }; | |
3066 | ||
fc05e1ba PC |
3067 | /** |
3068 | * @brief Return true if two Cauchy distributions have | |
3069 | * the same parameters. | |
3070 | */ | |
3071 | template<typename _RealType> | |
3072 | inline bool | |
3073 | operator==(const std::cauchy_distribution<_RealType>& __d1, | |
3074 | const std::cauchy_distribution<_RealType>& __d2) | |
3075 | { return __d1.param() == __d2.param(); } | |
3076 | ||
3077 | /** | |
3078 | * @brief Return true if two Cauchy distributions have | |
3079 | * different parameters. | |
3080 | */ | |
3081 | template<typename _RealType> | |
3082 | inline bool | |
3083 | operator!=(const std::cauchy_distribution<_RealType>& __d1, | |
3084 | const std::cauchy_distribution<_RealType>& __d2) | |
3085 | { return !(__d1 == __d2); } | |
3086 | ||
8e79468d BK |
3087 | /** |
3088 | * @brief Inserts a %cauchy_distribution random number distribution | |
3089 | * @p __x into the output stream @p __os. | |
3090 | * | |
3091 | * @param __os An output stream. | |
3092 | * @param __x A %cauchy_distribution random number distribution. | |
3093 | * | |
3094 | * @returns The output stream with the state of @p __x inserted or in | |
3095 | * an error state. | |
3096 | */ | |
3097 | template<typename _RealType, typename _CharT, typename _Traits> | |
3098 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3099 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3100 | const std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
3101 | |
3102 | /** | |
3103 | * @brief Extracts a %cauchy_distribution random number distribution | |
3104 | * @p __x from the input stream @p __is. | |
3105 | * | |
3106 | * @param __is An input stream. | |
3107 | * @param __x A %cauchy_distribution random number | |
3108 | * generator engine. | |
3109 | * | |
3110 | * @returns The input stream with @p __x extracted or in an error state. | |
3111 | */ | |
3112 | template<typename _RealType, typename _CharT, typename _Traits> | |
3113 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3114 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3115 | std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
3116 | |
3117 | ||
3118 | /** | |
3119 | * @brief A fisher_f_distribution random number distribution. | |
3120 | * | |
3121 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
3122 | * @f[ |
3123 | * p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)} | |
04b70271 | 3124 | * (\frac{m}{n})^{m/2} x^{(m/2)-1} |
6cc5a790 BK |
3125 | * (1 + \frac{mx}{n})^{-(m+n)/2} |
3126 | * @f] | |
8e79468d BK |
3127 | */ |
3128 | template<typename _RealType = double> | |
3129 | class fisher_f_distribution | |
3130 | { | |
77e3c516 PC |
3131 | static_assert(std::is_floating_point<_RealType>::value, |
3132 | "template argument not a floating point type"); | |
3133 | ||
8e79468d BK |
3134 | public: |
3135 | /** The type of the range of the distribution. */ | |
3136 | typedef _RealType result_type; | |
3137 | /** Parameter type. */ | |
3138 | struct param_type | |
3139 | { | |
3140 | typedef fisher_f_distribution<_RealType> distribution_type; | |
3141 | ||
3142 | explicit | |
3143 | param_type(_RealType __m = _RealType(1), | |
3144 | _RealType __n = _RealType(1)) | |
3145 | : _M_m(__m), _M_n(__n) | |
3146 | { } | |
3147 | ||
3148 | _RealType | |
3149 | m() const | |
3150 | { return _M_m; } | |
3151 | ||
3152 | _RealType | |
3153 | n() const | |
3154 | { return _M_n; } | |
3155 | ||
fc05e1ba PC |
3156 | friend bool |
3157 | operator==(const param_type& __p1, const param_type& __p2) | |
3158 | { return __p1._M_m == __p2._M_m && __p1._M_n == __p2._M_n; } | |
3159 | ||
8e79468d BK |
3160 | private: |
3161 | _RealType _M_m; | |
3162 | _RealType _M_n; | |
3163 | }; | |
3164 | ||
3165 | explicit | |
3166 | fisher_f_distribution(_RealType __m = _RealType(1), | |
3167 | _RealType __n = _RealType(1)) | |
f9b09dec | 3168 | : _M_param(__m, __n), _M_gd_x(__m / 2), _M_gd_y(__n / 2) |
8e79468d BK |
3169 | { } |
3170 | ||
3171 | explicit | |
3172 | fisher_f_distribution(const param_type& __p) | |
f9b09dec | 3173 | : _M_param(__p), _M_gd_x(__p.m() / 2), _M_gd_y(__p.n() / 2) |
8e79468d BK |
3174 | { } |
3175 | ||
3176 | /** | |
3177 | * @brief Resets the distribution state. | |
3178 | */ | |
3179 | void | |
3180 | reset() | |
f9b09dec PC |
3181 | { |
3182 | _M_gd_x.reset(); | |
3183 | _M_gd_y.reset(); | |
3184 | } | |
8e79468d BK |
3185 | |
3186 | /** | |
3187 | * | |
3188 | */ | |
3189 | _RealType | |
3190 | m() const | |
3191 | { return _M_param.m(); } | |
3192 | ||
3193 | _RealType | |
3194 | n() const | |
3195 | { return _M_param.n(); } | |
3196 | ||
3197 | /** | |
3198 | * @brief Returns the parameter set of the distribution. | |
3199 | */ | |
3200 | param_type | |
3201 | param() const | |
3202 | { return _M_param; } | |
3203 | ||
3204 | /** | |
3205 | * @brief Sets the parameter set of the distribution. | |
3206 | * @param __param The new parameter set of the distribution. | |
3207 | */ | |
3208 | void | |
3209 | param(const param_type& __param) | |
3210 | { _M_param = __param; } | |
3211 | ||
3212 | /** | |
3213 | * @brief Returns the greatest lower bound value of the distribution. | |
3214 | */ | |
3215 | result_type | |
3216 | min() const | |
3217 | { return result_type(0); } | |
3218 | ||
3219 | /** | |
3220 | * @brief Returns the least upper bound value of the distribution. | |
3221 | */ | |
3222 | result_type | |
3223 | max() const | |
3224 | { return std::numeric_limits<result_type>::max(); } | |
3225 | ||
247d8075 PC |
3226 | /** |
3227 | * @brief Generating functions. | |
3228 | */ | |
8e79468d BK |
3229 | template<typename _UniformRandomNumberGenerator> |
3230 | result_type | |
3231 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 3232 | { return (_M_gd_x(__urng) * n()) / (_M_gd_y(__urng) * m()); } |
8e79468d BK |
3233 | |
3234 | template<typename _UniformRandomNumberGenerator> | |
3235 | result_type | |
3236 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3237 | const param_type& __p) |
3238 | { | |
3239 | typedef typename std::gamma_distribution<result_type>::param_type | |
3240 | param_type; | |
3241 | return ((_M_gd_x(__urng, param_type(__p.m() / 2)) * n()) | |
3242 | / (_M_gd_y(__urng, param_type(__p.n() / 2)) * m())); | |
3243 | } | |
8e79468d | 3244 | |
7b93bdde UD |
3245 | template<typename _ForwardIterator, |
3246 | typename _UniformRandomNumberGenerator> | |
3247 | void | |
3248 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3249 | _UniformRandomNumberGenerator& __urng) | |
3250 | { this->__generate_impl(__f, __t, __urng); } | |
3251 | ||
3252 | template<typename _ForwardIterator, | |
3253 | typename _UniformRandomNumberGenerator> | |
3254 | void | |
3255 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3256 | _UniformRandomNumberGenerator& __urng, | |
3257 | const param_type& __p) | |
3258 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3259 | ||
3260 | template<typename _UniformRandomNumberGenerator> | |
3261 | void | |
3262 | __generate(result_type* __f, result_type* __t, | |
3263 | _UniformRandomNumberGenerator& __urng) | |
3264 | { this->__generate_impl(__f, __t, __urng); } | |
3265 | ||
3266 | template<typename _UniformRandomNumberGenerator> | |
3267 | void | |
3268 | __generate(result_type* __f, result_type* __t, | |
3269 | _UniformRandomNumberGenerator& __urng, | |
3270 | const param_type& __p) | |
3271 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3272 | ||
fc05e1ba PC |
3273 | /** |
3274 | * @brief Return true if two Fisher f distributions have | |
3275 | * the same parameters and the sequences that would | |
3276 | * be generated are equal. | |
3277 | */ | |
a30e18c1 MG |
3278 | friend bool |
3279 | operator==(const fisher_f_distribution& __d1, | |
3280 | const fisher_f_distribution& __d2) | |
3281 | { return (__d1.param() == __d2.param() | |
3282 | && __d1._M_gd_x == __d2._M_gd_x | |
3283 | && __d1._M_gd_y == __d2._M_gd_y); } | |
fc05e1ba | 3284 | |
e1923769 ESR |
3285 | /** |
3286 | * @brief Inserts a %fisher_f_distribution random number distribution | |
3287 | * @p __x into the output stream @p __os. | |
3288 | * | |
3289 | * @param __os An output stream. | |
3290 | * @param __x A %fisher_f_distribution random number distribution. | |
3291 | * | |
3292 | * @returns The output stream with the state of @p __x inserted or in | |
3293 | * an error state. | |
3294 | */ | |
3295 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3296 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3297 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3298 | const std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 ESR |
3299 | |
3300 | /** | |
3301 | * @brief Extracts a %fisher_f_distribution random number distribution | |
3302 | * @p __x from the input stream @p __is. | |
3303 | * | |
3304 | * @param __is An input stream. | |
3305 | * @param __x A %fisher_f_distribution random number | |
3306 | * generator engine. | |
3307 | * | |
3308 | * @returns The input stream with @p __x extracted or in an error state. | |
3309 | */ | |
3310 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3311 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3312 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3313 | std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 | 3314 | |
8e79468d | 3315 | private: |
7b93bdde UD |
3316 | template<typename _ForwardIterator, |
3317 | typename _UniformRandomNumberGenerator> | |
3318 | void | |
3319 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3320 | _UniformRandomNumberGenerator& __urng); | |
3321 | ||
3322 | template<typename _ForwardIterator, | |
3323 | typename _UniformRandomNumberGenerator> | |
3324 | void | |
3325 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3326 | _UniformRandomNumberGenerator& __urng, | |
3327 | const param_type& __p); | |
3328 | ||
8e79468d | 3329 | param_type _M_param; |
f9b09dec PC |
3330 | |
3331 | std::gamma_distribution<result_type> _M_gd_x, _M_gd_y; | |
8e79468d BK |
3332 | }; |
3333 | ||
fc05e1ba PC |
3334 | /** |
3335 | * @brief Return true if two Fisher f distributions are diferent. | |
3336 | */ | |
3337 | template<typename _RealType> | |
3338 | inline bool | |
3339 | operator!=(const std::fisher_f_distribution<_RealType>& __d1, | |
3340 | const std::fisher_f_distribution<_RealType>& __d2) | |
3341 | { return !(__d1 == __d2); } | |
8e79468d BK |
3342 | |
3343 | /** | |
3344 | * @brief A student_t_distribution random number distribution. | |
3345 | * | |
6cc5a790 BK |
3346 | * The formula for the normal probability mass function is: |
3347 | * @f[ | |
3348 | * p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)} | |
3349 | * (1 + \frac{x^2}{n}) ^{-(n+1)/2} | |
3350 | * @f] | |
8e79468d BK |
3351 | */ |
3352 | template<typename _RealType = double> | |
3353 | class student_t_distribution | |
3354 | { | |
77e3c516 PC |
3355 | static_assert(std::is_floating_point<_RealType>::value, |
3356 | "template argument not a floating point type"); | |
3357 | ||
8e79468d BK |
3358 | public: |
3359 | /** The type of the range of the distribution. */ | |
3360 | typedef _RealType result_type; | |
3361 | /** Parameter type. */ | |
3362 | struct param_type | |
3363 | { | |
3364 | typedef student_t_distribution<_RealType> distribution_type; | |
3365 | ||
3366 | explicit | |
3367 | param_type(_RealType __n = _RealType(1)) | |
3368 | : _M_n(__n) | |
3369 | { } | |
3370 | ||
3371 | _RealType | |
3372 | n() const | |
3373 | { return _M_n; } | |
3374 | ||
fc05e1ba PC |
3375 | friend bool |
3376 | operator==(const param_type& __p1, const param_type& __p2) | |
3377 | { return __p1._M_n == __p2._M_n; } | |
3378 | ||
8e79468d BK |
3379 | private: |
3380 | _RealType _M_n; | |
3381 | }; | |
3382 | ||
3383 | explicit | |
3384 | student_t_distribution(_RealType __n = _RealType(1)) | |
f9b09dec | 3385 | : _M_param(__n), _M_nd(), _M_gd(__n / 2, 2) |
8e79468d BK |
3386 | { } |
3387 | ||
3388 | explicit | |
3389 | student_t_distribution(const param_type& __p) | |
f9b09dec | 3390 | : _M_param(__p), _M_nd(), _M_gd(__p.n() / 2, 2) |
8e79468d BK |
3391 | { } |
3392 | ||
3393 | /** | |
3394 | * @brief Resets the distribution state. | |
3395 | */ | |
3396 | void | |
3397 | reset() | |
f9b09dec PC |
3398 | { |
3399 | _M_nd.reset(); | |
3400 | _M_gd.reset(); | |
3401 | } | |
8e79468d BK |
3402 | |
3403 | /** | |
3404 | * | |
3405 | */ | |
3406 | _RealType | |
3407 | n() const | |
3408 | { return _M_param.n(); } | |
3409 | ||
3410 | /** | |
3411 | * @brief Returns the parameter set of the distribution. | |
3412 | */ | |
3413 | param_type | |
3414 | param() const | |
3415 | { return _M_param; } | |
3416 | ||
3417 | /** | |
3418 | * @brief Sets the parameter set of the distribution. | |
3419 | * @param __param The new parameter set of the distribution. | |
3420 | */ | |
3421 | void | |
3422 | param(const param_type& __param) | |
3423 | { _M_param = __param; } | |
3424 | ||
3425 | /** | |
3426 | * @brief Returns the greatest lower bound value of the distribution. | |
3427 | */ | |
3428 | result_type | |
3429 | min() const | |
3430 | { return std::numeric_limits<result_type>::min(); } | |
3431 | ||
3432 | /** | |
3433 | * @brief Returns the least upper bound value of the distribution. | |
3434 | */ | |
3435 | result_type | |
3436 | max() const | |
3437 | { return std::numeric_limits<result_type>::max(); } | |
3438 | ||
247d8075 PC |
3439 | /** |
3440 | * @brief Generating functions. | |
3441 | */ | |
8e79468d BK |
3442 | template<typename _UniformRandomNumberGenerator> |
3443 | result_type | |
f9b09dec PC |
3444 | operator()(_UniformRandomNumberGenerator& __urng) |
3445 | { return _M_nd(__urng) * std::sqrt(n() / _M_gd(__urng)); } | |
8e79468d BK |
3446 | |
3447 | template<typename _UniformRandomNumberGenerator> | |
3448 | result_type | |
3449 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3450 | const param_type& __p) |
3451 | { | |
3452 | typedef typename std::gamma_distribution<result_type>::param_type | |
3453 | param_type; | |
3454 | ||
3455 | const result_type __g = _M_gd(__urng, param_type(__p.n() / 2, 2)); | |
3456 | return _M_nd(__urng) * std::sqrt(__p.n() / __g); | |
3457 | } | |
8e79468d | 3458 | |
7b93bdde UD |
3459 | template<typename _ForwardIterator, |
3460 | typename _UniformRandomNumberGenerator> | |
3461 | void | |
3462 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3463 | _UniformRandomNumberGenerator& __urng) | |
3464 | { this->__generate_impl(__f, __t, __urng); } | |
3465 | ||
3466 | template<typename _ForwardIterator, | |
3467 | typename _UniformRandomNumberGenerator> | |
3468 | void | |
3469 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3470 | _UniformRandomNumberGenerator& __urng, | |
3471 | const param_type& __p) | |
3472 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3473 | ||
3474 | template<typename _UniformRandomNumberGenerator> | |
3475 | void | |
3476 | __generate(result_type* __f, result_type* __t, | |
3477 | _UniformRandomNumberGenerator& __urng) | |
3478 | { this->__generate_impl(__f, __t, __urng); } | |
3479 | ||
3480 | template<typename _UniformRandomNumberGenerator> | |
3481 | void | |
3482 | __generate(result_type* __f, result_type* __t, | |
3483 | _UniformRandomNumberGenerator& __urng, | |
3484 | const param_type& __p) | |
3485 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3486 | ||
fc05e1ba PC |
3487 | /** |
3488 | * @brief Return true if two Student t distributions have | |
3489 | * the same parameters and the sequences that would | |
3490 | * be generated are equal. | |
3491 | */ | |
a30e18c1 MG |
3492 | friend bool |
3493 | operator==(const student_t_distribution& __d1, | |
3494 | const student_t_distribution& __d2) | |
3495 | { return (__d1.param() == __d2.param() | |
3496 | && __d1._M_nd == __d2._M_nd && __d1._M_gd == __d2._M_gd); } | |
fc05e1ba | 3497 | |
e1923769 ESR |
3498 | /** |
3499 | * @brief Inserts a %student_t_distribution random number distribution | |
3500 | * @p __x into the output stream @p __os. | |
3501 | * | |
3502 | * @param __os An output stream. | |
3503 | * @param __x A %student_t_distribution random number distribution. | |
3504 | * | |
3505 | * @returns The output stream with the state of @p __x inserted or in | |
3506 | * an error state. | |
3507 | */ | |
3508 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3509 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3510 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3511 | const std::student_t_distribution<_RealType1>& __x); | |
e1923769 ESR |
3512 | |
3513 | /** | |
3514 | * @brief Extracts a %student_t_distribution random number distribution | |
3515 | * @p __x from the input stream @p __is. | |
3516 | * | |
3517 | * @param __is An input stream. | |
3518 | * @param __x A %student_t_distribution random number | |
3519 | * generator engine. | |
3520 | * | |
3521 | * @returns The input stream with @p __x extracted or in an error state. | |
3522 | */ | |
3523 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3524 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3525 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3526 | std::student_t_distribution<_RealType1>& __x); | |
e1923769 | 3527 | |
8e79468d | 3528 | private: |
7b93bdde UD |
3529 | template<typename _ForwardIterator, |
3530 | typename _UniformRandomNumberGenerator> | |
3531 | void | |
3532 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3533 | _UniformRandomNumberGenerator& __urng); | |
3534 | template<typename _ForwardIterator, | |
3535 | typename _UniformRandomNumberGenerator> | |
3536 | void | |
3537 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3538 | _UniformRandomNumberGenerator& __urng, | |
3539 | const param_type& __p); | |
3540 | ||
8e79468d | 3541 | param_type _M_param; |
b01630bb | 3542 | |
f9b09dec PC |
3543 | std::normal_distribution<result_type> _M_nd; |
3544 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
3545 | }; |
3546 | ||
fc05e1ba PC |
3547 | /** |
3548 | * @brief Return true if two Student t distributions are different. | |
3549 | */ | |
3550 | template<typename _RealType> | |
3551 | inline bool | |
3552 | operator!=(const std::student_t_distribution<_RealType>& __d1, | |
3553 | const std::student_t_distribution<_RealType>& __d2) | |
3554 | { return !(__d1 == __d2); } | |
3555 | ||
3556 | ||
037181bc | 3557 | /* @} */ // group random_distributions_normal |
8e79468d BK |
3558 | |
3559 | /** | |
94a86be0 | 3560 | * @addtogroup random_distributions_bernoulli Bernoulli Distributions |
037181bc | 3561 | * @ingroup random_distributions |
8e79468d BK |
3562 | * @{ |
3563 | */ | |
3564 | ||
3565 | /** | |
3566 | * @brief A Bernoulli random number distribution. | |
3567 | * | |
6cc5a790 BK |
3568 | * Generates a sequence of true and false values with likelihood @f$p@f$ |
3569 | * that true will come up and @f$(1 - p)@f$ that false will appear. | |
8e79468d BK |
3570 | */ |
3571 | class bernoulli_distribution | |
3572 | { | |
3573 | public: | |
3574 | /** The type of the range of the distribution. */ | |
3575 | typedef bool result_type; | |
3576 | /** Parameter type. */ | |
3577 | struct param_type | |
3578 | { | |
3579 | typedef bernoulli_distribution distribution_type; | |
3580 | ||
3581 | explicit | |
3582 | param_type(double __p = 0.5) | |
3583 | : _M_p(__p) | |
3584 | { | |
3585 | _GLIBCXX_DEBUG_ASSERT((_M_p >= 0.0) && (_M_p <= 1.0)); | |
3586 | } | |
3587 | ||
3588 | double | |
3589 | p() const | |
3590 | { return _M_p; } | |
3591 | ||
fc05e1ba PC |
3592 | friend bool |
3593 | operator==(const param_type& __p1, const param_type& __p2) | |
3594 | { return __p1._M_p == __p2._M_p; } | |
3595 | ||
8e79468d BK |
3596 | private: |
3597 | double _M_p; | |
3598 | }; | |
3599 | ||
3600 | public: | |
3601 | /** | |
3602 | * @brief Constructs a Bernoulli distribution with likelihood @p p. | |
3603 | * | |
3604 | * @param __p [IN] The likelihood of a true result being returned. | |
6cc5a790 | 3605 | * Must be in the interval @f$[0, 1]@f$. |
8e79468d BK |
3606 | */ |
3607 | explicit | |
3608 | bernoulli_distribution(double __p = 0.5) | |
3609 | : _M_param(__p) | |
3610 | { } | |
3611 | ||
3612 | explicit | |
3613 | bernoulli_distribution(const param_type& __p) | |
3614 | : _M_param(__p) | |
3615 | { } | |
3616 | ||
3617 | /** | |
3618 | * @brief Resets the distribution state. | |
3619 | * | |
3620 | * Does nothing for a Bernoulli distribution. | |
3621 | */ | |
3622 | void | |
3623 | reset() { } | |
3624 | ||
3625 | /** | |
3626 | * @brief Returns the @p p parameter of the distribution. | |
3627 | */ | |
3628 | double | |
3629 | p() const | |
3630 | { return _M_param.p(); } | |
3631 | ||
3632 | /** | |
3633 | * @brief Returns the parameter set of the distribution. | |
3634 | */ | |
3635 | param_type | |
3636 | param() const | |
3637 | { return _M_param; } | |
3638 | ||
3639 | /** | |
3640 | * @brief Sets the parameter set of the distribution. | |
3641 | * @param __param The new parameter set of the distribution. | |
3642 | */ | |
3643 | void | |
3644 | param(const param_type& __param) | |
3645 | { _M_param = __param; } | |
3646 | ||
3647 | /** | |
3648 | * @brief Returns the greatest lower bound value of the distribution. | |
3649 | */ | |
3650 | result_type | |
3651 | min() const | |
3652 | { return std::numeric_limits<result_type>::min(); } | |
3653 | ||
3654 | /** | |
3655 | * @brief Returns the least upper bound value of the distribution. | |
3656 | */ | |
3657 | result_type | |
3658 | max() const | |
3659 | { return std::numeric_limits<result_type>::max(); } | |
3660 | ||
3661 | /** | |
247d8075 | 3662 | * @brief Generating functions. |
8e79468d BK |
3663 | */ |
3664 | template<typename _UniformRandomNumberGenerator> | |
3665 | result_type | |
3666 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 3667 | { return this->operator()(__urng, this->param()); } |
8e79468d BK |
3668 | |
3669 | template<typename _UniformRandomNumberGenerator> | |
3670 | result_type | |
3671 | operator()(_UniformRandomNumberGenerator& __urng, | |
3672 | const param_type& __p) | |
3673 | { | |
3674 | __detail::_Adaptor<_UniformRandomNumberGenerator, double> | |
3675 | __aurng(__urng); | |
3676 | if ((__aurng() - __aurng.min()) | |
3677 | < __p.p() * (__aurng.max() - __aurng.min())) | |
3678 | return true; | |
3679 | return false; | |
3680 | } | |
3681 | ||
7b93bdde UD |
3682 | template<typename _ForwardIterator, |
3683 | typename _UniformRandomNumberGenerator> | |
3684 | void | |
3685 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3686 | _UniformRandomNumberGenerator& __urng) | |
3687 | { this->__generate(__f, __t, __urng, this->param()); } | |
3688 | ||
3689 | template<typename _ForwardIterator, | |
3690 | typename _UniformRandomNumberGenerator> | |
3691 | void | |
3692 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3693 | _UniformRandomNumberGenerator& __urng, const param_type& __p) | |
3694 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3695 | ||
3696 | template<typename _UniformRandomNumberGenerator> | |
3697 | void | |
3698 | __generate(result_type* __f, result_type* __t, | |
3699 | _UniformRandomNumberGenerator& __urng, | |
3700 | const param_type& __p) | |
3701 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3702 | ||
8e79468d | 3703 | private: |
7b93bdde UD |
3704 | template<typename _ForwardIterator, |
3705 | typename _UniformRandomNumberGenerator> | |
3706 | void | |
3707 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3708 | _UniformRandomNumberGenerator& __urng, | |
3709 | const param_type& __p); | |
3710 | ||
8e79468d BK |
3711 | param_type _M_param; |
3712 | }; | |
3713 | ||
fc05e1ba PC |
3714 | /** |
3715 | * @brief Return true if two Bernoulli distributions have | |
3716 | * the same parameters. | |
3717 | */ | |
3718 | inline bool | |
3719 | operator==(const std::bernoulli_distribution& __d1, | |
3720 | const std::bernoulli_distribution& __d2) | |
3721 | { return __d1.param() == __d2.param(); } | |
3722 | ||
3723 | /** | |
3724 | * @brief Return true if two Bernoulli distributions have | |
3725 | * different parameters. | |
3726 | */ | |
3727 | inline bool | |
3728 | operator!=(const std::bernoulli_distribution& __d1, | |
3729 | const std::bernoulli_distribution& __d2) | |
3730 | { return !(__d1 == __d2); } | |
3731 | ||
8e79468d BK |
3732 | /** |
3733 | * @brief Inserts a %bernoulli_distribution random number distribution | |
3734 | * @p __x into the output stream @p __os. | |
3735 | * | |
3736 | * @param __os An output stream. | |
3737 | * @param __x A %bernoulli_distribution random number distribution. | |
3738 | * | |
3739 | * @returns The output stream with the state of @p __x inserted or in | |
3740 | * an error state. | |
3741 | */ | |
3742 | template<typename _CharT, typename _Traits> | |
3743 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3744 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3745 | const std::bernoulli_distribution& __x); | |
8e79468d BK |
3746 | |
3747 | /** | |
3748 | * @brief Extracts a %bernoulli_distribution random number distribution | |
3749 | * @p __x from the input stream @p __is. | |
3750 | * | |
3751 | * @param __is An input stream. | |
3752 | * @param __x A %bernoulli_distribution random number generator engine. | |
3753 | * | |
3754 | * @returns The input stream with @p __x extracted or in an error state. | |
3755 | */ | |
3756 | template<typename _CharT, typename _Traits> | |
3757 | std::basic_istream<_CharT, _Traits>& | |
3758 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 3759 | std::bernoulli_distribution& __x) |
8e79468d BK |
3760 | { |
3761 | double __p; | |
3762 | __is >> __p; | |
3763 | __x.param(bernoulli_distribution::param_type(__p)); | |
3764 | return __is; | |
3765 | } | |
3766 | ||
3767 | ||
3768 | /** | |
3769 | * @brief A discrete binomial random number distribution. | |
3770 | * | |
3771 | * The formula for the binomial probability density function is | |
6cc5a790 BK |
3772 | * @f$p(i|t,p) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
3773 | * and @f$p@f$ are the parameters of the distribution. | |
8e79468d BK |
3774 | */ |
3775 | template<typename _IntType = int> | |
3776 | class binomial_distribution | |
3777 | { | |
77e3c516 PC |
3778 | static_assert(std::is_integral<_IntType>::value, |
3779 | "template argument not an integral type"); | |
8e79468d BK |
3780 | |
3781 | public: | |
3782 | /** The type of the range of the distribution. */ | |
3783 | typedef _IntType result_type; | |
3784 | /** Parameter type. */ | |
3785 | struct param_type | |
3786 | { | |
3787 | typedef binomial_distribution<_IntType> distribution_type; | |
3788 | friend class binomial_distribution<_IntType>; | |
3789 | ||
3790 | explicit | |
3791 | param_type(_IntType __t = _IntType(1), double __p = 0.5) | |
3792 | : _M_t(__t), _M_p(__p) | |
3793 | { | |
3794 | _GLIBCXX_DEBUG_ASSERT((_M_t >= _IntType(0)) | |
94986f6d PC |
3795 | && (_M_p >= 0.0) |
3796 | && (_M_p <= 1.0)); | |
8e79468d BK |
3797 | _M_initialize(); |
3798 | } | |
3799 | ||
3800 | _IntType | |
3801 | t() const | |
3802 | { return _M_t; } | |
3803 | ||
3804 | double | |
3805 | p() const | |
3806 | { return _M_p; } | |
3807 | ||
fc05e1ba PC |
3808 | friend bool |
3809 | operator==(const param_type& __p1, const param_type& __p2) | |
3810 | { return __p1._M_t == __p2._M_t && __p1._M_p == __p2._M_p; } | |
3811 | ||
8e79468d BK |
3812 | private: |
3813 | void | |
3814 | _M_initialize(); | |
3815 | ||
3816 | _IntType _M_t; | |
3817 | double _M_p; | |
3818 | ||
3819 | double _M_q; | |
3820 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
3821 | double _M_d1, _M_d2, _M_s1, _M_s2, _M_c, | |
3822 | _M_a1, _M_a123, _M_s, _M_lf, _M_lp1p; | |
3823 | #endif | |
3824 | bool _M_easy; | |
3825 | }; | |
3826 | ||
3827 | // constructors and member function | |
3828 | explicit | |
3829 | binomial_distribution(_IntType __t = _IntType(1), | |
3830 | double __p = 0.5) | |
3831 | : _M_param(__t, __p), _M_nd() | |
3832 | { } | |
3833 | ||
3834 | explicit | |
3835 | binomial_distribution(const param_type& __p) | |
3836 | : _M_param(__p), _M_nd() | |
3837 | { } | |
3838 | ||
3839 | /** | |
3840 | * @brief Resets the distribution state. | |
3841 | */ | |
3842 | void | |
3843 | reset() | |
3844 | { _M_nd.reset(); } | |
3845 | ||
3846 | /** | |
3847 | * @brief Returns the distribution @p t parameter. | |
3848 | */ | |
3849 | _IntType | |
3850 | t() const | |
3851 | { return _M_param.t(); } | |
3852 | ||
3853 | /** | |
3854 | * @brief Returns the distribution @p p parameter. | |
3855 | */ | |
3856 | double | |
3857 | p() const | |
3858 | { return _M_param.p(); } | |
3859 | ||
3860 | /** | |
3861 | * @brief Returns the parameter set of the distribution. | |
3862 | */ | |
3863 | param_type | |
3864 | param() const | |
3865 | { return _M_param; } | |
3866 | ||
3867 | /** | |
3868 | * @brief Sets the parameter set of the distribution. | |
3869 | * @param __param The new parameter set of the distribution. | |
3870 | */ | |
3871 | void | |
3872 | param(const param_type& __param) | |
3873 | { _M_param = __param; } | |
3874 | ||
3875 | /** | |
3876 | * @brief Returns the greatest lower bound value of the distribution. | |
3877 | */ | |
3878 | result_type | |
3879 | min() const | |
3880 | { return 0; } | |
3881 | ||
3882 | /** | |
3883 | * @brief Returns the least upper bound value of the distribution. | |
3884 | */ | |
3885 | result_type | |
3886 | max() const | |
3887 | { return _M_param.t(); } | |
3888 | ||
247d8075 PC |
3889 | /** |
3890 | * @brief Generating functions. | |
3891 | */ | |
3892 | template<typename _UniformRandomNumberGenerator> | |
3893 | result_type | |
3894 | operator()(_UniformRandomNumberGenerator& __urng) | |
3895 | { return this->operator()(__urng, this->param()); } | |
3896 | ||
3897 | template<typename _UniformRandomNumberGenerator> | |
3898 | result_type | |
3899 | operator()(_UniformRandomNumberGenerator& __urng, | |
3900 | const param_type& __p); | |
3901 | ||
7b93bdde UD |
3902 | template<typename _ForwardIterator, |
3903 | typename _UniformRandomNumberGenerator> | |
3904 | void | |
3905 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3906 | _UniformRandomNumberGenerator& __urng) | |
3907 | { this->__generate(__f, __t, __urng, this->param()); } | |
3908 | ||
3909 | template<typename _ForwardIterator, | |
3910 | typename _UniformRandomNumberGenerator> | |
3911 | void | |
3912 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
3913 | _UniformRandomNumberGenerator& __urng, | |
3914 | const param_type& __p) | |
3915 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3916 | ||
3917 | template<typename _UniformRandomNumberGenerator> | |
3918 | void | |
3919 | __generate(result_type* __f, result_type* __t, | |
3920 | _UniformRandomNumberGenerator& __urng, | |
3921 | const param_type& __p) | |
3922 | { this->__generate_impl(__f, __t, __urng, __p); } | |
3923 | ||
fc05e1ba PC |
3924 | /** |
3925 | * @brief Return true if two binomial distributions have | |
3926 | * the same parameters and the sequences that would | |
3927 | * be generated are equal. | |
3928 | */ | |
fc05e1ba | 3929 | friend bool |
a30e18c1 MG |
3930 | operator==(const binomial_distribution& __d1, |
3931 | const binomial_distribution& __d2) | |
fc05e1ba PC |
3932 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
3933 | { return __d1.param() == __d2.param() && __d1._M_nd == __d2._M_nd; } | |
3934 | #else | |
3935 | { return __d1.param() == __d2.param(); } | |
3936 | #endif | |
3937 | ||
8e79468d BK |
3938 | /** |
3939 | * @brief Inserts a %binomial_distribution random number distribution | |
3940 | * @p __x into the output stream @p __os. | |
3941 | * | |
3942 | * @param __os An output stream. | |
3943 | * @param __x A %binomial_distribution random number distribution. | |
3944 | * | |
3945 | * @returns The output stream with the state of @p __x inserted or in | |
3946 | * an error state. | |
3947 | */ | |
3948 | template<typename _IntType1, | |
3949 | typename _CharT, typename _Traits> | |
3950 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3951 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3952 | const std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3953 | |
3954 | /** | |
3955 | * @brief Extracts a %binomial_distribution random number distribution | |
3956 | * @p __x from the input stream @p __is. | |
3957 | * | |
3958 | * @param __is An input stream. | |
3959 | * @param __x A %binomial_distribution random number generator engine. | |
3960 | * | |
3961 | * @returns The input stream with @p __x extracted or in an error | |
3962 | * state. | |
3963 | */ | |
3964 | template<typename _IntType1, | |
3965 | typename _CharT, typename _Traits> | |
3966 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3967 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3968 | std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3969 | |
3970 | private: | |
7b93bdde UD |
3971 | template<typename _ForwardIterator, |
3972 | typename _UniformRandomNumberGenerator> | |
3973 | void | |
3974 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
3975 | _UniformRandomNumberGenerator& __urng, | |
3976 | const param_type& __p); | |
3977 | ||
8e79468d BK |
3978 | template<typename _UniformRandomNumberGenerator> |
3979 | result_type | |
3980 | _M_waiting(_UniformRandomNumberGenerator& __urng, _IntType __t); | |
3981 | ||
3982 | param_type _M_param; | |
3983 | ||
3984 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 3985 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
3986 | }; |
3987 | ||
fc05e1ba PC |
3988 | /** |
3989 | * @brief Return true if two binomial distributions are different. | |
3990 | */ | |
3991 | template<typename _IntType> | |
3992 | inline bool | |
3993 | operator!=(const std::binomial_distribution<_IntType>& __d1, | |
3994 | const std::binomial_distribution<_IntType>& __d2) | |
3995 | { return !(__d1 == __d2); } | |
3996 | ||
8e79468d BK |
3997 | |
3998 | /** | |
3999 | * @brief A discrete geometric random number distribution. | |
4000 | * | |
4001 | * The formula for the geometric probability density function is | |
d8d4db33 | 4002 | * @f$p(i|p) = p(1 - p)^{i}@f$ where @f$p@f$ is the parameter of the |
8e79468d BK |
4003 | * distribution. |
4004 | */ | |
4005 | template<typename _IntType = int> | |
4006 | class geometric_distribution | |
4007 | { | |
77e3c516 PC |
4008 | static_assert(std::is_integral<_IntType>::value, |
4009 | "template argument not an integral type"); | |
8e79468d BK |
4010 | |
4011 | public: | |
4012 | /** The type of the range of the distribution. */ | |
4013 | typedef _IntType result_type; | |
4014 | /** Parameter type. */ | |
4015 | struct param_type | |
4016 | { | |
4017 | typedef geometric_distribution<_IntType> distribution_type; | |
4018 | friend class geometric_distribution<_IntType>; | |
4019 | ||
4020 | explicit | |
4021 | param_type(double __p = 0.5) | |
4022 | : _M_p(__p) | |
4023 | { | |
113b21bd | 4024 | _GLIBCXX_DEBUG_ASSERT((_M_p > 0.0) && (_M_p < 1.0)); |
8e79468d BK |
4025 | _M_initialize(); |
4026 | } | |
4027 | ||
4028 | double | |
4029 | p() const | |
4030 | { return _M_p; } | |
4031 | ||
fc05e1ba PC |
4032 | friend bool |
4033 | operator==(const param_type& __p1, const param_type& __p2) | |
4034 | { return __p1._M_p == __p2._M_p; } | |
4035 | ||
8e79468d BK |
4036 | private: |
4037 | void | |
4038 | _M_initialize() | |
d8d4db33 | 4039 | { _M_log_1_p = std::log(1.0 - _M_p); } |
8e79468d BK |
4040 | |
4041 | double _M_p; | |
4042 | ||
d8d4db33 | 4043 | double _M_log_1_p; |
8e79468d BK |
4044 | }; |
4045 | ||
4046 | // constructors and member function | |
4047 | explicit | |
4048 | geometric_distribution(double __p = 0.5) | |
4049 | : _M_param(__p) | |
4050 | { } | |
4051 | ||
4052 | explicit | |
4053 | geometric_distribution(const param_type& __p) | |
4054 | : _M_param(__p) | |
4055 | { } | |
4056 | ||
4057 | /** | |
4058 | * @brief Resets the distribution state. | |
4059 | * | |
4060 | * Does nothing for the geometric distribution. | |
4061 | */ | |
4062 | void | |
4063 | reset() { } | |
4064 | ||
4065 | /** | |
4066 | * @brief Returns the distribution parameter @p p. | |
4067 | */ | |
4068 | double | |
4069 | p() const | |
4070 | { return _M_param.p(); } | |
4071 | ||
4072 | /** | |
4073 | * @brief Returns the parameter set of the distribution. | |
4074 | */ | |
4075 | param_type | |
4076 | param() const | |
4077 | { return _M_param; } | |
4078 | ||
4079 | /** | |
4080 | * @brief Sets the parameter set of the distribution. | |
4081 | * @param __param The new parameter set of the distribution. | |
4082 | */ | |
4083 | void | |
4084 | param(const param_type& __param) | |
4085 | { _M_param = __param; } | |
4086 | ||
4087 | /** | |
4088 | * @brief Returns the greatest lower bound value of the distribution. | |
4089 | */ | |
4090 | result_type | |
4091 | min() const | |
4092 | { return 0; } | |
4093 | ||
4094 | /** | |
4095 | * @brief Returns the least upper bound value of the distribution. | |
4096 | */ | |
4097 | result_type | |
4098 | max() const | |
4099 | { return std::numeric_limits<result_type>::max(); } | |
4100 | ||
247d8075 PC |
4101 | /** |
4102 | * @brief Generating functions. | |
4103 | */ | |
8e79468d BK |
4104 | template<typename _UniformRandomNumberGenerator> |
4105 | result_type | |
4106 | operator()(_UniformRandomNumberGenerator& __urng) | |
4107 | { return this->operator()(__urng, this->param()); } | |
4108 | ||
4109 | template<typename _UniformRandomNumberGenerator> | |
4110 | result_type | |
4111 | operator()(_UniformRandomNumberGenerator& __urng, | |
4112 | const param_type& __p); | |
4113 | ||
7b93bdde UD |
4114 | template<typename _ForwardIterator, |
4115 | typename _UniformRandomNumberGenerator> | |
4116 | void | |
4117 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4118 | _UniformRandomNumberGenerator& __urng) | |
4119 | { this->__generate(__f, __t, __urng, this->param()); } | |
4120 | ||
4121 | template<typename _ForwardIterator, | |
4122 | typename _UniformRandomNumberGenerator> | |
4123 | void | |
4124 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4125 | _UniformRandomNumberGenerator& __urng, | |
4126 | const param_type& __p) | |
4127 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4128 | ||
4129 | template<typename _UniformRandomNumberGenerator> | |
4130 | void | |
4131 | __generate(result_type* __f, result_type* __t, | |
4132 | _UniformRandomNumberGenerator& __urng, | |
4133 | const param_type& __p) | |
4134 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4135 | ||
8e79468d | 4136 | private: |
7b93bdde UD |
4137 | template<typename _ForwardIterator, |
4138 | typename _UniformRandomNumberGenerator> | |
4139 | void | |
4140 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4141 | _UniformRandomNumberGenerator& __urng, | |
4142 | const param_type& __p); | |
4143 | ||
8e79468d BK |
4144 | param_type _M_param; |
4145 | }; | |
4146 | ||
fc05e1ba PC |
4147 | /** |
4148 | * @brief Return true if two geometric distributions have | |
4149 | * the same parameters. | |
4150 | */ | |
4151 | template<typename _IntType> | |
4152 | inline bool | |
4153 | operator==(const std::geometric_distribution<_IntType>& __d1, | |
4154 | const std::geometric_distribution<_IntType>& __d2) | |
4155 | { return __d1.param() == __d2.param(); } | |
4156 | ||
4157 | /** | |
4158 | * @brief Return true if two geometric distributions have | |
4159 | * different parameters. | |
4160 | */ | |
4161 | template<typename _IntType> | |
4162 | inline bool | |
4163 | operator!=(const std::geometric_distribution<_IntType>& __d1, | |
4164 | const std::geometric_distribution<_IntType>& __d2) | |
4165 | { return !(__d1 == __d2); } | |
4166 | ||
8e79468d BK |
4167 | /** |
4168 | * @brief Inserts a %geometric_distribution random number distribution | |
4169 | * @p __x into the output stream @p __os. | |
4170 | * | |
4171 | * @param __os An output stream. | |
4172 | * @param __x A %geometric_distribution random number distribution. | |
4173 | * | |
4174 | * @returns The output stream with the state of @p __x inserted or in | |
4175 | * an error state. | |
4176 | */ | |
4177 | template<typename _IntType, | |
4178 | typename _CharT, typename _Traits> | |
4179 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4180 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4181 | const std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4182 | |
4183 | /** | |
4184 | * @brief Extracts a %geometric_distribution random number distribution | |
4185 | * @p __x from the input stream @p __is. | |
4186 | * | |
4187 | * @param __is An input stream. | |
4188 | * @param __x A %geometric_distribution random number generator engine. | |
4189 | * | |
4190 | * @returns The input stream with @p __x extracted or in an error state. | |
4191 | */ | |
4192 | template<typename _IntType, | |
4193 | typename _CharT, typename _Traits> | |
4194 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4195 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4196 | std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
4197 | |
4198 | ||
4199 | /** | |
4200 | * @brief A negative_binomial_distribution random number distribution. | |
4201 | * | |
4202 | * The formula for the negative binomial probability mass function is | |
6cc5a790 BK |
4203 | * @f$p(i) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
4204 | * and @f$p@f$ are the parameters of the distribution. | |
8e79468d BK |
4205 | */ |
4206 | template<typename _IntType = int> | |
4207 | class negative_binomial_distribution | |
4208 | { | |
77e3c516 PC |
4209 | static_assert(std::is_integral<_IntType>::value, |
4210 | "template argument not an integral type"); | |
8e79468d BK |
4211 | |
4212 | public: | |
4213 | /** The type of the range of the distribution. */ | |
4214 | typedef _IntType result_type; | |
4215 | /** Parameter type. */ | |
4216 | struct param_type | |
4217 | { | |
4218 | typedef negative_binomial_distribution<_IntType> distribution_type; | |
4219 | ||
4220 | explicit | |
4221 | param_type(_IntType __k = 1, double __p = 0.5) | |
4222 | : _M_k(__k), _M_p(__p) | |
113b21bd PC |
4223 | { |
4224 | _GLIBCXX_DEBUG_ASSERT((_M_k > 0) && (_M_p > 0.0) && (_M_p <= 1.0)); | |
4225 | } | |
8e79468d BK |
4226 | |
4227 | _IntType | |
4228 | k() const | |
4229 | { return _M_k; } | |
4230 | ||
4231 | double | |
4232 | p() const | |
4233 | { return _M_p; } | |
4234 | ||
fc05e1ba PC |
4235 | friend bool |
4236 | operator==(const param_type& __p1, const param_type& __p2) | |
4237 | { return __p1._M_k == __p2._M_k && __p1._M_p == __p2._M_p; } | |
4238 | ||
8e79468d BK |
4239 | private: |
4240 | _IntType _M_k; | |
4241 | double _M_p; | |
4242 | }; | |
4243 | ||
4244 | explicit | |
4245 | negative_binomial_distribution(_IntType __k = 1, double __p = 0.5) | |
ff2e697a | 4246 | : _M_param(__k, __p), _M_gd(__k, (1.0 - __p) / __p) |
8e79468d BK |
4247 | { } |
4248 | ||
4249 | explicit | |
4250 | negative_binomial_distribution(const param_type& __p) | |
ff2e697a | 4251 | : _M_param(__p), _M_gd(__p.k(), (1.0 - __p.p()) / __p.p()) |
8e79468d BK |
4252 | { } |
4253 | ||
4254 | /** | |
4255 | * @brief Resets the distribution state. | |
4256 | */ | |
4257 | void | |
4258 | reset() | |
f9b09dec | 4259 | { _M_gd.reset(); } |
8e79468d BK |
4260 | |
4261 | /** | |
6cc5a790 | 4262 | * @brief Return the @f$k@f$ parameter of the distribution. |
8e79468d BK |
4263 | */ |
4264 | _IntType | |
4265 | k() const | |
4266 | { return _M_param.k(); } | |
4267 | ||
4268 | /** | |
6cc5a790 | 4269 | * @brief Return the @f$p@f$ parameter of the distribution. |
8e79468d BK |
4270 | */ |
4271 | double | |
4272 | p() const | |
4273 | { return _M_param.p(); } | |
4274 | ||
4275 | /** | |
4276 | * @brief Returns the parameter set of the distribution. | |
4277 | */ | |
4278 | param_type | |
4279 | param() const | |
4280 | { return _M_param; } | |
4281 | ||
4282 | /** | |
4283 | * @brief Sets the parameter set of the distribution. | |
4284 | * @param __param The new parameter set of the distribution. | |
4285 | */ | |
4286 | void | |
4287 | param(const param_type& __param) | |
4288 | { _M_param = __param; } | |
4289 | ||
4290 | /** | |
4291 | * @brief Returns the greatest lower bound value of the distribution. | |
4292 | */ | |
4293 | result_type | |
4294 | min() const | |
4295 | { return result_type(0); } | |
4296 | ||
4297 | /** | |
4298 | * @brief Returns the least upper bound value of the distribution. | |
4299 | */ | |
4300 | result_type | |
4301 | max() const | |
4302 | { return std::numeric_limits<result_type>::max(); } | |
4303 | ||
247d8075 PC |
4304 | /** |
4305 | * @brief Generating functions. | |
4306 | */ | |
8e79468d BK |
4307 | template<typename _UniformRandomNumberGenerator> |
4308 | result_type | |
f9b09dec | 4309 | operator()(_UniformRandomNumberGenerator& __urng); |
8e79468d BK |
4310 | |
4311 | template<typename _UniformRandomNumberGenerator> | |
4312 | result_type | |
4313 | operator()(_UniformRandomNumberGenerator& __urng, | |
4314 | const param_type& __p); | |
4315 | ||
7b93bdde UD |
4316 | template<typename _ForwardIterator, |
4317 | typename _UniformRandomNumberGenerator> | |
4318 | void | |
4319 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4320 | _UniformRandomNumberGenerator& __urng) | |
4321 | { this->__generate_impl(__f, __t, __urng); } | |
4322 | ||
4323 | template<typename _ForwardIterator, | |
4324 | typename _UniformRandomNumberGenerator> | |
4325 | void | |
4326 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4327 | _UniformRandomNumberGenerator& __urng, | |
4328 | const param_type& __p) | |
4329 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4330 | ||
4331 | template<typename _UniformRandomNumberGenerator> | |
4332 | void | |
4333 | __generate(result_type* __f, result_type* __t, | |
4334 | _UniformRandomNumberGenerator& __urng) | |
4335 | { this->__generate_impl(__f, __t, __urng); } | |
4336 | ||
4337 | template<typename _UniformRandomNumberGenerator> | |
4338 | void | |
4339 | __generate(result_type* __f, result_type* __t, | |
4340 | _UniformRandomNumberGenerator& __urng, | |
4341 | const param_type& __p) | |
4342 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4343 | ||
fc05e1ba PC |
4344 | /** |
4345 | * @brief Return true if two negative binomial distributions have | |
4346 | * the same parameters and the sequences that would be | |
4347 | * generated are equal. | |
4348 | */ | |
a30e18c1 MG |
4349 | friend bool |
4350 | operator==(const negative_binomial_distribution& __d1, | |
4351 | const negative_binomial_distribution& __d2) | |
4352 | { return __d1.param() == __d2.param() && __d1._M_gd == __d2._M_gd; } | |
fc05e1ba | 4353 | |
e1923769 ESR |
4354 | /** |
4355 | * @brief Inserts a %negative_binomial_distribution random | |
4356 | * number distribution @p __x into the output stream @p __os. | |
4357 | * | |
4358 | * @param __os An output stream. | |
4359 | * @param __x A %negative_binomial_distribution random number | |
4360 | * distribution. | |
4361 | * | |
4362 | * @returns The output stream with the state of @p __x inserted or in | |
4363 | * an error state. | |
4364 | */ | |
4365 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4366 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4367 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4368 | const std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 ESR |
4369 | |
4370 | /** | |
4371 | * @brief Extracts a %negative_binomial_distribution random number | |
4372 | * distribution @p __x from the input stream @p __is. | |
4373 | * | |
4374 | * @param __is An input stream. | |
4375 | * @param __x A %negative_binomial_distribution random number | |
4376 | * generator engine. | |
4377 | * | |
4378 | * @returns The input stream with @p __x extracted or in an error state. | |
4379 | */ | |
4380 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4381 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4382 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4383 | std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 | 4384 | |
8e79468d | 4385 | private: |
7b93bdde UD |
4386 | template<typename _ForwardIterator, |
4387 | typename _UniformRandomNumberGenerator> | |
4388 | void | |
4389 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4390 | _UniformRandomNumberGenerator& __urng); | |
4391 | template<typename _ForwardIterator, | |
4392 | typename _UniformRandomNumberGenerator> | |
4393 | void | |
4394 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4395 | _UniformRandomNumberGenerator& __urng, | |
4396 | const param_type& __p); | |
4397 | ||
8e79468d | 4398 | param_type _M_param; |
f9b09dec PC |
4399 | |
4400 | std::gamma_distribution<double> _M_gd; | |
8e79468d BK |
4401 | }; |
4402 | ||
fc05e1ba PC |
4403 | /** |
4404 | * @brief Return true if two negative binomial distributions are different. | |
4405 | */ | |
4406 | template<typename _IntType> | |
4407 | inline bool | |
4408 | operator!=(const std::negative_binomial_distribution<_IntType>& __d1, | |
4409 | const std::negative_binomial_distribution<_IntType>& __d2) | |
4410 | { return !(__d1 == __d2); } | |
4411 | ||
4412 | ||
037181bc | 4413 | /* @} */ // group random_distributions_bernoulli |
8e79468d BK |
4414 | |
4415 | /** | |
94a86be0 | 4416 | * @addtogroup random_distributions_poisson Poisson Distributions |
037181bc | 4417 | * @ingroup random_distributions |
8e79468d BK |
4418 | * @{ |
4419 | */ | |
4420 | ||
4421 | /** | |
4422 | * @brief A discrete Poisson random number distribution. | |
4423 | * | |
4424 | * The formula for the Poisson probability density function is | |
6cc5a790 | 4425 | * @f$p(i|\mu) = \frac{\mu^i}{i!} e^{-\mu}@f$ where @f$\mu@f$ is the |
8e79468d BK |
4426 | * parameter of the distribution. |
4427 | */ | |
4428 | template<typename _IntType = int> | |
4429 | class poisson_distribution | |
4430 | { | |
77e3c516 PC |
4431 | static_assert(std::is_integral<_IntType>::value, |
4432 | "template argument not an integral type"); | |
8e79468d BK |
4433 | |
4434 | public: | |
4435 | /** The type of the range of the distribution. */ | |
4436 | typedef _IntType result_type; | |
4437 | /** Parameter type. */ | |
4438 | struct param_type | |
4439 | { | |
4440 | typedef poisson_distribution<_IntType> distribution_type; | |
4441 | friend class poisson_distribution<_IntType>; | |
4442 | ||
4443 | explicit | |
4444 | param_type(double __mean = 1.0) | |
4445 | : _M_mean(__mean) | |
4446 | { | |
4447 | _GLIBCXX_DEBUG_ASSERT(_M_mean > 0.0); | |
4448 | _M_initialize(); | |
4449 | } | |
4450 | ||
4451 | double | |
4452 | mean() const | |
4453 | { return _M_mean; } | |
4454 | ||
fc05e1ba PC |
4455 | friend bool |
4456 | operator==(const param_type& __p1, const param_type& __p2) | |
4457 | { return __p1._M_mean == __p2._M_mean; } | |
4458 | ||
8e79468d BK |
4459 | private: |
4460 | // Hosts either log(mean) or the threshold of the simple method. | |
4461 | void | |
4462 | _M_initialize(); | |
4463 | ||
4464 | double _M_mean; | |
4465 | ||
4466 | double _M_lm_thr; | |
4467 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
4468 | double _M_lfm, _M_sm, _M_d, _M_scx, _M_1cx, _M_c2b, _M_cb; | |
4469 | #endif | |
4470 | }; | |
4471 | ||
4472 | // constructors and member function | |
4473 | explicit | |
4474 | poisson_distribution(double __mean = 1.0) | |
4475 | : _M_param(__mean), _M_nd() | |
4476 | { } | |
4477 | ||
4478 | explicit | |
4479 | poisson_distribution(const param_type& __p) | |
4480 | : _M_param(__p), _M_nd() | |
4481 | { } | |
4482 | ||
4483 | /** | |
4484 | * @brief Resets the distribution state. | |
4485 | */ | |
4486 | void | |
4487 | reset() | |
4488 | { _M_nd.reset(); } | |
4489 | ||
4490 | /** | |
4491 | * @brief Returns the distribution parameter @p mean. | |
4492 | */ | |
4493 | double | |
4494 | mean() const | |
4495 | { return _M_param.mean(); } | |
4496 | ||
4497 | /** | |
4498 | * @brief Returns the parameter set of the distribution. | |
4499 | */ | |
4500 | param_type | |
4501 | param() const | |
4502 | { return _M_param; } | |
4503 | ||
4504 | /** | |
4505 | * @brief Sets the parameter set of the distribution. | |
4506 | * @param __param The new parameter set of the distribution. | |
4507 | */ | |
4508 | void | |
4509 | param(const param_type& __param) | |
4510 | { _M_param = __param; } | |
4511 | ||
4512 | /** | |
4513 | * @brief Returns the greatest lower bound value of the distribution. | |
4514 | */ | |
4515 | result_type | |
4516 | min() const | |
4517 | { return 0; } | |
4518 | ||
4519 | /** | |
4520 | * @brief Returns the least upper bound value of the distribution. | |
4521 | */ | |
4522 | result_type | |
4523 | max() const | |
4524 | { return std::numeric_limits<result_type>::max(); } | |
4525 | ||
247d8075 PC |
4526 | /** |
4527 | * @brief Generating functions. | |
4528 | */ | |
8e79468d BK |
4529 | template<typename _UniformRandomNumberGenerator> |
4530 | result_type | |
4531 | operator()(_UniformRandomNumberGenerator& __urng) | |
4532 | { return this->operator()(__urng, this->param()); } | |
4533 | ||
4534 | template<typename _UniformRandomNumberGenerator> | |
4535 | result_type | |
4536 | operator()(_UniformRandomNumberGenerator& __urng, | |
4537 | const param_type& __p); | |
4538 | ||
7b93bdde UD |
4539 | template<typename _ForwardIterator, |
4540 | typename _UniformRandomNumberGenerator> | |
4541 | void | |
4542 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4543 | _UniformRandomNumberGenerator& __urng) | |
4544 | { this->__generate(__f, __t, __urng, this->param()); } | |
4545 | ||
4546 | template<typename _ForwardIterator, | |
4547 | typename _UniformRandomNumberGenerator> | |
4548 | void | |
4549 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4550 | _UniformRandomNumberGenerator& __urng, | |
4551 | const param_type& __p) | |
4552 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4553 | ||
4554 | template<typename _UniformRandomNumberGenerator> | |
4555 | void | |
4556 | __generate(result_type* __f, result_type* __t, | |
4557 | _UniformRandomNumberGenerator& __urng, | |
4558 | const param_type& __p) | |
4559 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4560 | ||
fc05e1ba PC |
4561 | /** |
4562 | * @brief Return true if two Poisson distributions have the same | |
4563 | * parameters and the sequences that would be generated | |
4564 | * are equal. | |
4565 | */ | |
a30e18c1 MG |
4566 | friend bool |
4567 | operator==(const poisson_distribution& __d1, | |
4568 | const poisson_distribution& __d2) | |
fc05e1ba | 4569 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
a30e18c1 | 4570 | { return __d1.param() == __d2.param() && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 4571 | #else |
a30e18c1 | 4572 | { return __d1.param() == __d2.param(); } |
fc05e1ba PC |
4573 | #endif |
4574 | ||
8e79468d BK |
4575 | /** |
4576 | * @brief Inserts a %poisson_distribution random number distribution | |
4577 | * @p __x into the output stream @p __os. | |
4578 | * | |
4579 | * @param __os An output stream. | |
4580 | * @param __x A %poisson_distribution random number distribution. | |
4581 | * | |
4582 | * @returns The output stream with the state of @p __x inserted or in | |
4583 | * an error state. | |
4584 | */ | |
4585 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4586 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4587 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4588 | const std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4589 | |
4590 | /** | |
4591 | * @brief Extracts a %poisson_distribution random number distribution | |
4592 | * @p __x from the input stream @p __is. | |
4593 | * | |
4594 | * @param __is An input stream. | |
4595 | * @param __x A %poisson_distribution random number generator engine. | |
4596 | * | |
4597 | * @returns The input stream with @p __x extracted or in an error | |
4598 | * state. | |
4599 | */ | |
4600 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4601 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4602 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4603 | std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4604 | |
4605 | private: | |
7b93bdde UD |
4606 | template<typename _ForwardIterator, |
4607 | typename _UniformRandomNumberGenerator> | |
4608 | void | |
4609 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4610 | _UniformRandomNumberGenerator& __urng, | |
4611 | const param_type& __p); | |
4612 | ||
8e79468d BK |
4613 | param_type _M_param; |
4614 | ||
4615 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 4616 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
4617 | }; |
4618 | ||
fc05e1ba PC |
4619 | /** |
4620 | * @brief Return true if two Poisson distributions are different. | |
4621 | */ | |
4622 | template<typename _IntType> | |
4623 | inline bool | |
4624 | operator!=(const std::poisson_distribution<_IntType>& __d1, | |
4625 | const std::poisson_distribution<_IntType>& __d2) | |
4626 | { return !(__d1 == __d2); } | |
4627 | ||
4628 | ||
8e79468d BK |
4629 | /** |
4630 | * @brief An exponential continuous distribution for random numbers. | |
4631 | * | |
4632 | * The formula for the exponential probability density function is | |
6cc5a790 | 4633 | * @f$p(x|\lambda) = \lambda e^{-\lambda x}@f$. |
8e79468d BK |
4634 | * |
4635 | * <table border=1 cellpadding=10 cellspacing=0> | |
4636 | * <caption align=top>Distribution Statistics</caption> | |
6cc5a790 BK |
4637 | * <tr><td>Mean</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
4638 | * <tr><td>Median</td><td>@f$\frac{\ln 2}{\lambda}@f$</td></tr> | |
4639 | * <tr><td>Mode</td><td>@f$zero@f$</td></tr> | |
8e79468d | 4640 | * <tr><td>Range</td><td>@f$[0, \infty]@f$</td></tr> |
6cc5a790 | 4641 | * <tr><td>Standard Deviation</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
8e79468d BK |
4642 | * </table> |
4643 | */ | |
4644 | template<typename _RealType = double> | |
4645 | class exponential_distribution | |
4646 | { | |
77e3c516 PC |
4647 | static_assert(std::is_floating_point<_RealType>::value, |
4648 | "template argument not a floating point type"); | |
4649 | ||
8e79468d BK |
4650 | public: |
4651 | /** The type of the range of the distribution. */ | |
4652 | typedef _RealType result_type; | |
4653 | /** Parameter type. */ | |
4654 | struct param_type | |
4655 | { | |
4656 | typedef exponential_distribution<_RealType> distribution_type; | |
4657 | ||
4658 | explicit | |
4659 | param_type(_RealType __lambda = _RealType(1)) | |
4660 | : _M_lambda(__lambda) | |
4661 | { | |
4662 | _GLIBCXX_DEBUG_ASSERT(_M_lambda > _RealType(0)); | |
4663 | } | |
4664 | ||
4665 | _RealType | |
4666 | lambda() const | |
4667 | { return _M_lambda; } | |
4668 | ||
fc05e1ba PC |
4669 | friend bool |
4670 | operator==(const param_type& __p1, const param_type& __p2) | |
4671 | { return __p1._M_lambda == __p2._M_lambda; } | |
4672 | ||
8e79468d BK |
4673 | private: |
4674 | _RealType _M_lambda; | |
4675 | }; | |
4676 | ||
4677 | public: | |
4678 | /** | |
4679 | * @brief Constructs an exponential distribution with inverse scale | |
6cc5a790 | 4680 | * parameter @f$\lambda@f$. |
8e79468d BK |
4681 | */ |
4682 | explicit | |
4683 | exponential_distribution(const result_type& __lambda = result_type(1)) | |
4684 | : _M_param(__lambda) | |
4685 | { } | |
4686 | ||
4687 | explicit | |
4688 | exponential_distribution(const param_type& __p) | |
4689 | : _M_param(__p) | |
4690 | { } | |
4691 | ||
4692 | /** | |
4693 | * @brief Resets the distribution state. | |
4694 | * | |
4695 | * Has no effect on exponential distributions. | |
4696 | */ | |
4697 | void | |
4698 | reset() { } | |
4699 | ||
4700 | /** | |
4701 | * @brief Returns the inverse scale parameter of the distribution. | |
4702 | */ | |
4703 | _RealType | |
4704 | lambda() const | |
4705 | { return _M_param.lambda(); } | |
4706 | ||
4707 | /** | |
4708 | * @brief Returns the parameter set of the distribution. | |
4709 | */ | |
4710 | param_type | |
4711 | param() const | |
4712 | { return _M_param; } | |
4713 | ||
4714 | /** | |
4715 | * @brief Sets the parameter set of the distribution. | |
4716 | * @param __param The new parameter set of the distribution. | |
4717 | */ | |
4718 | void | |
4719 | param(const param_type& __param) | |
4720 | { _M_param = __param; } | |
4721 | ||
4722 | /** | |
4723 | * @brief Returns the greatest lower bound value of the distribution. | |
4724 | */ | |
4725 | result_type | |
4726 | min() const | |
4727 | { return result_type(0); } | |
4728 | ||
4729 | /** | |
4730 | * @brief Returns the least upper bound value of the distribution. | |
4731 | */ | |
4732 | result_type | |
4733 | max() const | |
4734 | { return std::numeric_limits<result_type>::max(); } | |
4735 | ||
247d8075 PC |
4736 | /** |
4737 | * @brief Generating functions. | |
4738 | */ | |
8e79468d BK |
4739 | template<typename _UniformRandomNumberGenerator> |
4740 | result_type | |
4741 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 4742 | { return this->operator()(__urng, this->param()); } |
8e79468d BK |
4743 | |
4744 | template<typename _UniformRandomNumberGenerator> | |
4745 | result_type | |
4746 | operator()(_UniformRandomNumberGenerator& __urng, | |
4747 | const param_type& __p) | |
4748 | { | |
4749 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
4750 | __aurng(__urng); | |
4751 | return -std::log(__aurng()) / __p.lambda(); | |
4752 | } | |
4753 | ||
7b93bdde UD |
4754 | template<typename _ForwardIterator, |
4755 | typename _UniformRandomNumberGenerator> | |
4756 | void | |
4757 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4758 | _UniformRandomNumberGenerator& __urng) | |
4759 | { this->__generate(__f, __t, __urng, this->param()); } | |
4760 | ||
4761 | template<typename _ForwardIterator, | |
4762 | typename _UniformRandomNumberGenerator> | |
4763 | void | |
4764 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4765 | _UniformRandomNumberGenerator& __urng, | |
4766 | const param_type& __p) | |
4767 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4768 | ||
4769 | template<typename _UniformRandomNumberGenerator> | |
4770 | void | |
4771 | __generate(result_type* __f, result_type* __t, | |
4772 | _UniformRandomNumberGenerator& __urng, | |
4773 | const param_type& __p) | |
4774 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4775 | ||
8e79468d | 4776 | private: |
7b93bdde UD |
4777 | template<typename _ForwardIterator, |
4778 | typename _UniformRandomNumberGenerator> | |
4779 | void | |
4780 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4781 | _UniformRandomNumberGenerator& __urng, | |
4782 | const param_type& __p); | |
4783 | ||
8e79468d BK |
4784 | param_type _M_param; |
4785 | }; | |
4786 | ||
fc05e1ba PC |
4787 | /** |
4788 | * @brief Return true if two exponential distributions have the same | |
4789 | * parameters. | |
4790 | */ | |
4791 | template<typename _RealType> | |
4792 | inline bool | |
4793 | operator==(const std::exponential_distribution<_RealType>& __d1, | |
4794 | const std::exponential_distribution<_RealType>& __d2) | |
4795 | { return __d1.param() == __d2.param(); } | |
4796 | ||
4797 | /** | |
4798 | * @brief Return true if two exponential distributions have different | |
4799 | * parameters. | |
4800 | */ | |
4801 | template<typename _RealType> | |
4802 | inline bool | |
4803 | operator!=(const std::exponential_distribution<_RealType>& __d1, | |
4804 | const std::exponential_distribution<_RealType>& __d2) | |
4805 | { return !(__d1 == __d2); } | |
4806 | ||
8e79468d BK |
4807 | /** |
4808 | * @brief Inserts a %exponential_distribution random number distribution | |
4809 | * @p __x into the output stream @p __os. | |
4810 | * | |
4811 | * @param __os An output stream. | |
4812 | * @param __x A %exponential_distribution random number distribution. | |
4813 | * | |
4814 | * @returns The output stream with the state of @p __x inserted or in | |
4815 | * an error state. | |
4816 | */ | |
4817 | template<typename _RealType, typename _CharT, typename _Traits> | |
4818 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4819 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4820 | const std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4821 | |
4822 | /** | |
4823 | * @brief Extracts a %exponential_distribution random number distribution | |
4824 | * @p __x from the input stream @p __is. | |
4825 | * | |
4826 | * @param __is An input stream. | |
4827 | * @param __x A %exponential_distribution random number | |
4828 | * generator engine. | |
4829 | * | |
4830 | * @returns The input stream with @p __x extracted or in an error state. | |
4831 | */ | |
4832 | template<typename _RealType, typename _CharT, typename _Traits> | |
4833 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4834 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4835 | std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4836 | |
4837 | ||
8e79468d BK |
4838 | /** |
4839 | * @brief A weibull_distribution random number distribution. | |
4840 | * | |
6cc5a790 BK |
4841 | * The formula for the normal probability density function is: |
4842 | * @f[ | |
4843 | * p(x|\alpha,\beta) = \frac{\alpha}{\beta} (\frac{x}{\beta})^{\alpha-1} | |
4844 | * \exp{(-(\frac{x}{\beta})^\alpha)} | |
4845 | * @f] | |
8e79468d BK |
4846 | */ |
4847 | template<typename _RealType = double> | |
4848 | class weibull_distribution | |
4849 | { | |
77e3c516 PC |
4850 | static_assert(std::is_floating_point<_RealType>::value, |
4851 | "template argument not a floating point type"); | |
4852 | ||
8e79468d BK |
4853 | public: |
4854 | /** The type of the range of the distribution. */ | |
4855 | typedef _RealType result_type; | |
4856 | /** Parameter type. */ | |
4857 | struct param_type | |
4858 | { | |
4859 | typedef weibull_distribution<_RealType> distribution_type; | |
4860 | ||
4861 | explicit | |
4862 | param_type(_RealType __a = _RealType(1), | |
4863 | _RealType __b = _RealType(1)) | |
4864 | : _M_a(__a), _M_b(__b) | |
4865 | { } | |
4866 | ||
4867 | _RealType | |
4868 | a() const | |
4869 | { return _M_a; } | |
4870 | ||
4871 | _RealType | |
4872 | b() const | |
4873 | { return _M_b; } | |
4874 | ||
fc05e1ba PC |
4875 | friend bool |
4876 | operator==(const param_type& __p1, const param_type& __p2) | |
4877 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
4878 | ||
8e79468d BK |
4879 | private: |
4880 | _RealType _M_a; | |
4881 | _RealType _M_b; | |
4882 | }; | |
4883 | ||
4884 | explicit | |
4885 | weibull_distribution(_RealType __a = _RealType(1), | |
4886 | _RealType __b = _RealType(1)) | |
4887 | : _M_param(__a, __b) | |
4888 | { } | |
4889 | ||
4890 | explicit | |
4891 | weibull_distribution(const param_type& __p) | |
4892 | : _M_param(__p) | |
4893 | { } | |
4894 | ||
4895 | /** | |
4896 | * @brief Resets the distribution state. | |
4897 | */ | |
4898 | void | |
4899 | reset() | |
4900 | { } | |
4901 | ||
4902 | /** | |
6cc5a790 | 4903 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
4904 | */ |
4905 | _RealType | |
4906 | a() const | |
4907 | { return _M_param.a(); } | |
4908 | ||
4909 | /** | |
6cc5a790 | 4910 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
4911 | */ |
4912 | _RealType | |
4913 | b() const | |
4914 | { return _M_param.b(); } | |
4915 | ||
4916 | /** | |
4917 | * @brief Returns the parameter set of the distribution. | |
4918 | */ | |
4919 | param_type | |
4920 | param() const | |
4921 | { return _M_param; } | |
4922 | ||
4923 | /** | |
4924 | * @brief Sets the parameter set of the distribution. | |
4925 | * @param __param The new parameter set of the distribution. | |
4926 | */ | |
4927 | void | |
4928 | param(const param_type& __param) | |
4929 | { _M_param = __param; } | |
4930 | ||
4931 | /** | |
4932 | * @brief Returns the greatest lower bound value of the distribution. | |
4933 | */ | |
4934 | result_type | |
4935 | min() const | |
4936 | { return result_type(0); } | |
4937 | ||
4938 | /** | |
4939 | * @brief Returns the least upper bound value of the distribution. | |
4940 | */ | |
4941 | result_type | |
4942 | max() const | |
4943 | { return std::numeric_limits<result_type>::max(); } | |
4944 | ||
247d8075 PC |
4945 | /** |
4946 | * @brief Generating functions. | |
4947 | */ | |
8e79468d BK |
4948 | template<typename _UniformRandomNumberGenerator> |
4949 | result_type | |
4950 | operator()(_UniformRandomNumberGenerator& __urng) | |
4951 | { return this->operator()(__urng, this->param()); } | |
4952 | ||
4953 | template<typename _UniformRandomNumberGenerator> | |
4954 | result_type | |
4955 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb | 4956 | const param_type& __p); |
8e79468d | 4957 | |
7b93bdde UD |
4958 | template<typename _ForwardIterator, |
4959 | typename _UniformRandomNumberGenerator> | |
4960 | void | |
4961 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4962 | _UniformRandomNumberGenerator& __urng) | |
4963 | { this->__generate(__f, __t, __urng, this->param()); } | |
4964 | ||
4965 | template<typename _ForwardIterator, | |
4966 | typename _UniformRandomNumberGenerator> | |
4967 | void | |
4968 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
4969 | _UniformRandomNumberGenerator& __urng, | |
4970 | const param_type& __p) | |
4971 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4972 | ||
4973 | template<typename _UniformRandomNumberGenerator> | |
4974 | void | |
4975 | __generate(result_type* __f, result_type* __t, | |
4976 | _UniformRandomNumberGenerator& __urng, | |
4977 | const param_type& __p) | |
4978 | { this->__generate_impl(__f, __t, __urng, __p); } | |
4979 | ||
8e79468d | 4980 | private: |
7b93bdde UD |
4981 | template<typename _ForwardIterator, |
4982 | typename _UniformRandomNumberGenerator> | |
4983 | void | |
4984 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
4985 | _UniformRandomNumberGenerator& __urng, | |
4986 | const param_type& __p); | |
4987 | ||
8e79468d BK |
4988 | param_type _M_param; |
4989 | }; | |
4990 | ||
fc05e1ba PC |
4991 | /** |
4992 | * @brief Return true if two Weibull distributions have the same | |
4993 | * parameters. | |
4994 | */ | |
4995 | template<typename _RealType> | |
4996 | inline bool | |
4997 | operator==(const std::weibull_distribution<_RealType>& __d1, | |
4998 | const std::weibull_distribution<_RealType>& __d2) | |
4999 | { return __d1.param() == __d2.param(); } | |
5000 | ||
5001 | /** | |
5002 | * @brief Return true if two Weibull distributions have different | |
5003 | * parameters. | |
5004 | */ | |
5005 | template<typename _RealType> | |
5006 | inline bool | |
5007 | operator!=(const std::weibull_distribution<_RealType>& __d1, | |
5008 | const std::weibull_distribution<_RealType>& __d2) | |
5009 | { return !(__d1 == __d2); } | |
5010 | ||
8e79468d BK |
5011 | /** |
5012 | * @brief Inserts a %weibull_distribution random number distribution | |
5013 | * @p __x into the output stream @p __os. | |
5014 | * | |
5015 | * @param __os An output stream. | |
5016 | * @param __x A %weibull_distribution random number distribution. | |
5017 | * | |
5018 | * @returns The output stream with the state of @p __x inserted or in | |
5019 | * an error state. | |
5020 | */ | |
5021 | template<typename _RealType, typename _CharT, typename _Traits> | |
5022 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5023 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5024 | const std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
5025 | |
5026 | /** | |
5027 | * @brief Extracts a %weibull_distribution random number distribution | |
5028 | * @p __x from the input stream @p __is. | |
5029 | * | |
5030 | * @param __is An input stream. | |
5031 | * @param __x A %weibull_distribution random number | |
5032 | * generator engine. | |
5033 | * | |
5034 | * @returns The input stream with @p __x extracted or in an error state. | |
5035 | */ | |
5036 | template<typename _RealType, typename _CharT, typename _Traits> | |
5037 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5038 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5039 | std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
5040 | |
5041 | ||
5042 | /** | |
5043 | * @brief A extreme_value_distribution random number distribution. | |
5044 | * | |
5045 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
5046 | * @f[ |
5047 | * p(x|a,b) = \frac{1}{b} | |
5048 | * \exp( \frac{a-x}{b} - \exp(\frac{a-x}{b})) | |
5049 | * @f] | |
8e79468d BK |
5050 | */ |
5051 | template<typename _RealType = double> | |
5052 | class extreme_value_distribution | |
5053 | { | |
77e3c516 PC |
5054 | static_assert(std::is_floating_point<_RealType>::value, |
5055 | "template argument not a floating point type"); | |
5056 | ||
8e79468d BK |
5057 | public: |
5058 | /** The type of the range of the distribution. */ | |
5059 | typedef _RealType result_type; | |
5060 | /** Parameter type. */ | |
5061 | struct param_type | |
5062 | { | |
5063 | typedef extreme_value_distribution<_RealType> distribution_type; | |
5064 | ||
5065 | explicit | |
5066 | param_type(_RealType __a = _RealType(0), | |
5067 | _RealType __b = _RealType(1)) | |
5068 | : _M_a(__a), _M_b(__b) | |
5069 | { } | |
5070 | ||
5071 | _RealType | |
5072 | a() const | |
5073 | { return _M_a; } | |
5074 | ||
5075 | _RealType | |
5076 | b() const | |
5077 | { return _M_b; } | |
5078 | ||
fc05e1ba PC |
5079 | friend bool |
5080 | operator==(const param_type& __p1, const param_type& __p2) | |
5081 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
5082 | ||
8e79468d BK |
5083 | private: |
5084 | _RealType _M_a; | |
5085 | _RealType _M_b; | |
5086 | }; | |
5087 | ||
5088 | explicit | |
5089 | extreme_value_distribution(_RealType __a = _RealType(0), | |
5090 | _RealType __b = _RealType(1)) | |
5091 | : _M_param(__a, __b) | |
5092 | { } | |
5093 | ||
5094 | explicit | |
5095 | extreme_value_distribution(const param_type& __p) | |
5096 | : _M_param(__p) | |
5097 | { } | |
5098 | ||
5099 | /** | |
5100 | * @brief Resets the distribution state. | |
5101 | */ | |
5102 | void | |
5103 | reset() | |
5104 | { } | |
5105 | ||
5106 | /** | |
6cc5a790 | 5107 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
5108 | */ |
5109 | _RealType | |
5110 | a() const | |
5111 | { return _M_param.a(); } | |
5112 | ||
5113 | /** | |
6cc5a790 | 5114 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
5115 | */ |
5116 | _RealType | |
5117 | b() const | |
5118 | { return _M_param.b(); } | |
5119 | ||
5120 | /** | |
5121 | * @brief Returns the parameter set of the distribution. | |
5122 | */ | |
5123 | param_type | |
5124 | param() const | |
5125 | { return _M_param; } | |
5126 | ||
5127 | /** | |
5128 | * @brief Sets the parameter set of the distribution. | |
5129 | * @param __param The new parameter set of the distribution. | |
5130 | */ | |
5131 | void | |
5132 | param(const param_type& __param) | |
5133 | { _M_param = __param; } | |
5134 | ||
5135 | /** | |
5136 | * @brief Returns the greatest lower bound value of the distribution. | |
5137 | */ | |
5138 | result_type | |
5139 | min() const | |
5140 | { return std::numeric_limits<result_type>::min(); } | |
5141 | ||
5142 | /** | |
5143 | * @brief Returns the least upper bound value of the distribution. | |
5144 | */ | |
5145 | result_type | |
5146 | max() const | |
5147 | { return std::numeric_limits<result_type>::max(); } | |
5148 | ||
247d8075 PC |
5149 | /** |
5150 | * @brief Generating functions. | |
5151 | */ | |
8e79468d BK |
5152 | template<typename _UniformRandomNumberGenerator> |
5153 | result_type | |
5154 | operator()(_UniformRandomNumberGenerator& __urng) | |
5155 | { return this->operator()(__urng, this->param()); } | |
5156 | ||
5157 | template<typename _UniformRandomNumberGenerator> | |
5158 | result_type | |
5159 | operator()(_UniformRandomNumberGenerator& __urng, | |
5160 | const param_type& __p); | |
5161 | ||
7b93bdde UD |
5162 | template<typename _ForwardIterator, |
5163 | typename _UniformRandomNumberGenerator> | |
5164 | void | |
5165 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5166 | _UniformRandomNumberGenerator& __urng) | |
5167 | { this->__generate(__f, __t, __urng, this->param()); } | |
5168 | ||
5169 | template<typename _ForwardIterator, | |
5170 | typename _UniformRandomNumberGenerator> | |
5171 | void | |
5172 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5173 | _UniformRandomNumberGenerator& __urng, | |
5174 | const param_type& __p) | |
5175 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5176 | ||
5177 | template<typename _UniformRandomNumberGenerator> | |
5178 | void | |
5179 | __generate(result_type* __f, result_type* __t, | |
5180 | _UniformRandomNumberGenerator& __urng, | |
5181 | const param_type& __p) | |
5182 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5183 | ||
8e79468d | 5184 | private: |
7b93bdde UD |
5185 | template<typename _ForwardIterator, |
5186 | typename _UniformRandomNumberGenerator> | |
5187 | void | |
5188 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5189 | _UniformRandomNumberGenerator& __urng, | |
5190 | const param_type& __p); | |
5191 | ||
8e79468d BK |
5192 | param_type _M_param; |
5193 | }; | |
5194 | ||
fc05e1ba PC |
5195 | /** |
5196 | * @brief Return true if two extreme value distributions have the same | |
5197 | * parameters. | |
5198 | */ | |
5199 | template<typename _RealType> | |
5200 | inline bool | |
5201 | operator==(const std::extreme_value_distribution<_RealType>& __d1, | |
5202 | const std::extreme_value_distribution<_RealType>& __d2) | |
5203 | { return __d1.param() == __d2.param(); } | |
5204 | ||
5205 | /** | |
5206 | * @brief Return true if two extreme value distributions have different | |
5207 | * parameters. | |
5208 | */ | |
5209 | template<typename _RealType> | |
5210 | inline bool | |
5211 | operator!=(const std::extreme_value_distribution<_RealType>& __d1, | |
5212 | const std::extreme_value_distribution<_RealType>& __d2) | |
5213 | { return !(__d1 == __d2); } | |
5214 | ||
8e79468d BK |
5215 | /** |
5216 | * @brief Inserts a %extreme_value_distribution random number distribution | |
5217 | * @p __x into the output stream @p __os. | |
5218 | * | |
5219 | * @param __os An output stream. | |
5220 | * @param __x A %extreme_value_distribution random number distribution. | |
5221 | * | |
5222 | * @returns The output stream with the state of @p __x inserted or in | |
5223 | * an error state. | |
5224 | */ | |
5225 | template<typename _RealType, typename _CharT, typename _Traits> | |
5226 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5227 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5228 | const std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5229 | |
5230 | /** | |
5231 | * @brief Extracts a %extreme_value_distribution random number | |
5232 | * distribution @p __x from the input stream @p __is. | |
5233 | * | |
5234 | * @param __is An input stream. | |
5235 | * @param __x A %extreme_value_distribution random number | |
5236 | * generator engine. | |
5237 | * | |
5238 | * @returns The input stream with @p __x extracted or in an error state. | |
5239 | */ | |
5240 | template<typename _RealType, typename _CharT, typename _Traits> | |
5241 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5242 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5243 | std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
5244 | |
5245 | ||
5246 | /** | |
5247 | * @brief A discrete_distribution random number distribution. | |
5248 | * | |
5249 | * The formula for the discrete probability mass function is | |
5250 | * | |
5251 | */ | |
5252 | template<typename _IntType = int> | |
5253 | class discrete_distribution | |
5254 | { | |
77e3c516 PC |
5255 | static_assert(std::is_integral<_IntType>::value, |
5256 | "template argument not an integral type"); | |
8e79468d BK |
5257 | |
5258 | public: | |
5259 | /** The type of the range of the distribution. */ | |
5260 | typedef _IntType result_type; | |
5261 | /** Parameter type. */ | |
5262 | struct param_type | |
5263 | { | |
5264 | typedef discrete_distribution<_IntType> distribution_type; | |
5265 | friend class discrete_distribution<_IntType>; | |
5266 | ||
5267 | param_type() | |
879b9073 | 5268 | : _M_prob(), _M_cp() |
ce9555cb | 5269 | { } |
8e79468d BK |
5270 | |
5271 | template<typename _InputIterator> | |
5272 | param_type(_InputIterator __wbegin, | |
5273 | _InputIterator __wend) | |
5274 | : _M_prob(__wbegin, __wend), _M_cp() | |
5275 | { _M_initialize(); } | |
5276 | ||
5277 | param_type(initializer_list<double> __wil) | |
5278 | : _M_prob(__wil.begin(), __wil.end()), _M_cp() | |
5279 | { _M_initialize(); } | |
5280 | ||
5281 | template<typename _Func> | |
5282 | param_type(size_t __nw, double __xmin, double __xmax, | |
5283 | _Func __fw); | |
5284 | ||
ce9555cb PC |
5285 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5286 | param_type(const param_type&) = default; | |
5287 | param_type& operator=(const param_type&) = default; | |
5288 | ||
8e79468d BK |
5289 | std::vector<double> |
5290 | probabilities() const | |
879b9073 | 5291 | { return _M_prob.empty() ? std::vector<double>(1, 1.0) : _M_prob; } |
8e79468d | 5292 | |
fc05e1ba PC |
5293 | friend bool |
5294 | operator==(const param_type& __p1, const param_type& __p2) | |
5295 | { return __p1._M_prob == __p2._M_prob; } | |
5296 | ||
8e79468d BK |
5297 | private: |
5298 | void | |
5299 | _M_initialize(); | |
5300 | ||
5301 | std::vector<double> _M_prob; | |
5302 | std::vector<double> _M_cp; | |
5303 | }; | |
5304 | ||
5305 | discrete_distribution() | |
5306 | : _M_param() | |
5307 | { } | |
5308 | ||
5309 | template<typename _InputIterator> | |
5310 | discrete_distribution(_InputIterator __wbegin, | |
5311 | _InputIterator __wend) | |
5312 | : _M_param(__wbegin, __wend) | |
5313 | { } | |
5314 | ||
f8dd9e0d PC |
5315 | discrete_distribution(initializer_list<double> __wl) |
5316 | : _M_param(__wl) | |
8e79468d BK |
5317 | { } |
5318 | ||
5319 | template<typename _Func> | |
5320 | discrete_distribution(size_t __nw, double __xmin, double __xmax, | |
5321 | _Func __fw) | |
5322 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5323 | { } | |
5324 | ||
5325 | explicit | |
5326 | discrete_distribution(const param_type& __p) | |
5327 | : _M_param(__p) | |
5328 | { } | |
5329 | ||
5330 | /** | |
5331 | * @brief Resets the distribution state. | |
5332 | */ | |
5333 | void | |
5334 | reset() | |
5335 | { } | |
5336 | ||
5337 | /** | |
5338 | * @brief Returns the probabilities of the distribution. | |
5339 | */ | |
5340 | std::vector<double> | |
5341 | probabilities() const | |
879b9073 PC |
5342 | { |
5343 | return _M_param._M_prob.empty() | |
5344 | ? std::vector<double>(1, 1.0) : _M_param._M_prob; | |
5345 | } | |
8e79468d BK |
5346 | |
5347 | /** | |
5348 | * @brief Returns the parameter set of the distribution. | |
5349 | */ | |
5350 | param_type | |
5351 | param() const | |
5352 | { return _M_param; } | |
5353 | ||
5354 | /** | |
5355 | * @brief Sets the parameter set of the distribution. | |
5356 | * @param __param The new parameter set of the distribution. | |
5357 | */ | |
5358 | void | |
5359 | param(const param_type& __param) | |
5360 | { _M_param = __param; } | |
5361 | ||
5362 | /** | |
5363 | * @brief Returns the greatest lower bound value of the distribution. | |
5364 | */ | |
5365 | result_type | |
5366 | min() const | |
5367 | { return result_type(0); } | |
5368 | ||
5369 | /** | |
5370 | * @brief Returns the least upper bound value of the distribution. | |
5371 | */ | |
5372 | result_type | |
5373 | max() const | |
879b9073 PC |
5374 | { |
5375 | return _M_param._M_prob.empty() | |
5376 | ? result_type(0) : result_type(_M_param._M_prob.size() - 1); | |
5377 | } | |
8e79468d | 5378 | |
247d8075 PC |
5379 | /** |
5380 | * @brief Generating functions. | |
5381 | */ | |
8e79468d BK |
5382 | template<typename _UniformRandomNumberGenerator> |
5383 | result_type | |
5384 | operator()(_UniformRandomNumberGenerator& __urng) | |
5385 | { return this->operator()(__urng, this->param()); } | |
5386 | ||
5387 | template<typename _UniformRandomNumberGenerator> | |
5388 | result_type | |
5389 | operator()(_UniformRandomNumberGenerator& __urng, | |
5390 | const param_type& __p); | |
5391 | ||
7b93bdde UD |
5392 | template<typename _ForwardIterator, |
5393 | typename _UniformRandomNumberGenerator> | |
5394 | void | |
5395 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5396 | _UniformRandomNumberGenerator& __urng) | |
5397 | { this->__generate(__f, __t, __urng, this->param()); } | |
5398 | ||
5399 | template<typename _ForwardIterator, | |
5400 | typename _UniformRandomNumberGenerator> | |
5401 | void | |
5402 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5403 | _UniformRandomNumberGenerator& __urng, | |
5404 | const param_type& __p) | |
5405 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5406 | ||
5407 | template<typename _UniformRandomNumberGenerator> | |
5408 | void | |
5409 | __generate(result_type* __f, result_type* __t, | |
5410 | _UniformRandomNumberGenerator& __urng, | |
5411 | const param_type& __p) | |
5412 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5413 | ||
8e79468d BK |
5414 | /** |
5415 | * @brief Inserts a %discrete_distribution random number distribution | |
5416 | * @p __x into the output stream @p __os. | |
5417 | * | |
5418 | * @param __os An output stream. | |
5419 | * @param __x A %discrete_distribution random number distribution. | |
5420 | * | |
5421 | * @returns The output stream with the state of @p __x inserted or in | |
5422 | * an error state. | |
5423 | */ | |
5424 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5425 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5426 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5427 | const std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5428 | |
5429 | /** | |
5430 | * @brief Extracts a %discrete_distribution random number distribution | |
5431 | * @p __x from the input stream @p __is. | |
5432 | * | |
5433 | * @param __is An input stream. | |
5434 | * @param __x A %discrete_distribution random number | |
5435 | * generator engine. | |
5436 | * | |
5437 | * @returns The input stream with @p __x extracted or in an error | |
5438 | * state. | |
5439 | */ | |
5440 | template<typename _IntType1, typename _CharT, typename _Traits> | |
5441 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5442 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5443 | std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
5444 | |
5445 | private: | |
7b93bdde UD |
5446 | template<typename _ForwardIterator, |
5447 | typename _UniformRandomNumberGenerator> | |
5448 | void | |
5449 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5450 | _UniformRandomNumberGenerator& __urng, | |
5451 | const param_type& __p); | |
5452 | ||
8e79468d BK |
5453 | param_type _M_param; |
5454 | }; | |
5455 | ||
fc05e1ba PC |
5456 | /** |
5457 | * @brief Return true if two discrete distributions have the same | |
5458 | * parameters. | |
5459 | */ | |
5460 | template<typename _IntType> | |
5461 | inline bool | |
5462 | operator==(const std::discrete_distribution<_IntType>& __d1, | |
5463 | const std::discrete_distribution<_IntType>& __d2) | |
5464 | { return __d1.param() == __d2.param(); } | |
5465 | ||
5466 | /** | |
5467 | * @brief Return true if two discrete distributions have different | |
5468 | * parameters. | |
5469 | */ | |
5470 | template<typename _IntType> | |
5471 | inline bool | |
5472 | operator!=(const std::discrete_distribution<_IntType>& __d1, | |
5473 | const std::discrete_distribution<_IntType>& __d2) | |
5474 | { return !(__d1 == __d2); } | |
5475 | ||
8e79468d BK |
5476 | |
5477 | /** | |
5478 | * @brief A piecewise_constant_distribution random number distribution. | |
5479 | * | |
5480 | * The formula for the piecewise constant probability mass function is | |
5481 | * | |
5482 | */ | |
5483 | template<typename _RealType = double> | |
5484 | class piecewise_constant_distribution | |
5485 | { | |
77e3c516 PC |
5486 | static_assert(std::is_floating_point<_RealType>::value, |
5487 | "template argument not a floating point type"); | |
5488 | ||
8e79468d BK |
5489 | public: |
5490 | /** The type of the range of the distribution. */ | |
5491 | typedef _RealType result_type; | |
5492 | /** Parameter type. */ | |
5493 | struct param_type | |
5494 | { | |
5495 | typedef piecewise_constant_distribution<_RealType> distribution_type; | |
5496 | friend class piecewise_constant_distribution<_RealType>; | |
5497 | ||
b01630bb | 5498 | param_type() |
879b9073 PC |
5499 | : _M_int(), _M_den(), _M_cp() |
5500 | { } | |
8e79468d BK |
5501 | |
5502 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5503 | param_type(_InputIteratorB __bfirst, | |
5504 | _InputIteratorB __bend, | |
5505 | _InputIteratorW __wbegin); | |
5506 | ||
5507 | template<typename _Func> | |
f8dd9e0d | 5508 | param_type(initializer_list<_RealType> __bi, _Func __fw); |
8e79468d BK |
5509 | |
5510 | template<typename _Func> | |
5511 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5512 | _Func __fw); | |
5513 | ||
ce9555cb PC |
5514 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5515 | param_type(const param_type&) = default; | |
5516 | param_type& operator=(const param_type&) = default; | |
5517 | ||
8e79468d BK |
5518 | std::vector<_RealType> |
5519 | intervals() const | |
879b9073 PC |
5520 | { |
5521 | if (_M_int.empty()) | |
5522 | { | |
5523 | std::vector<_RealType> __tmp(2); | |
5524 | __tmp[1] = _RealType(1); | |
5525 | return __tmp; | |
5526 | } | |
5527 | else | |
5528 | return _M_int; | |
5529 | } | |
8e79468d BK |
5530 | |
5531 | std::vector<double> | |
5532 | densities() const | |
879b9073 | 5533 | { return _M_den.empty() ? std::vector<double>(1, 1.0) : _M_den; } |
8e79468d | 5534 | |
fc05e1ba PC |
5535 | friend bool |
5536 | operator==(const param_type& __p1, const param_type& __p2) | |
5537 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } | |
5538 | ||
8e79468d BK |
5539 | private: |
5540 | void | |
5541 | _M_initialize(); | |
5542 | ||
5543 | std::vector<_RealType> _M_int; | |
5544 | std::vector<double> _M_den; | |
5545 | std::vector<double> _M_cp; | |
5546 | }; | |
5547 | ||
5548 | explicit | |
5549 | piecewise_constant_distribution() | |
5550 | : _M_param() | |
5551 | { } | |
5552 | ||
5553 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5554 | piecewise_constant_distribution(_InputIteratorB __bfirst, | |
5555 | _InputIteratorB __bend, | |
5556 | _InputIteratorW __wbegin) | |
5557 | : _M_param(__bfirst, __bend, __wbegin) | |
5558 | { } | |
5559 | ||
5560 | template<typename _Func> | |
f8dd9e0d | 5561 | piecewise_constant_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5562 | _Func __fw) |
f8dd9e0d | 5563 | : _M_param(__bl, __fw) |
8e79468d BK |
5564 | { } |
5565 | ||
5566 | template<typename _Func> | |
5567 | piecewise_constant_distribution(size_t __nw, | |
5568 | _RealType __xmin, _RealType __xmax, | |
5569 | _Func __fw) | |
5570 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5571 | { } | |
5572 | ||
5573 | explicit | |
5574 | piecewise_constant_distribution(const param_type& __p) | |
5575 | : _M_param(__p) | |
5576 | { } | |
5577 | ||
5578 | /** | |
5579 | * @brief Resets the distribution state. | |
5580 | */ | |
5581 | void | |
5582 | reset() | |
5583 | { } | |
5584 | ||
5585 | /** | |
5586 | * @brief Returns a vector of the intervals. | |
5587 | */ | |
5588 | std::vector<_RealType> | |
5589 | intervals() const | |
879b9073 PC |
5590 | { |
5591 | if (_M_param._M_int.empty()) | |
5592 | { | |
5593 | std::vector<_RealType> __tmp(2); | |
5594 | __tmp[1] = _RealType(1); | |
5595 | return __tmp; | |
5596 | } | |
5597 | else | |
5598 | return _M_param._M_int; | |
5599 | } | |
8e79468d BK |
5600 | |
5601 | /** | |
5602 | * @brief Returns a vector of the probability densities. | |
5603 | */ | |
5604 | std::vector<double> | |
5605 | densities() const | |
879b9073 PC |
5606 | { |
5607 | return _M_param._M_den.empty() | |
5608 | ? std::vector<double>(1, 1.0) : _M_param._M_den; | |
5609 | } | |
8e79468d BK |
5610 | |
5611 | /** | |
5612 | * @brief Returns the parameter set of the distribution. | |
5613 | */ | |
5614 | param_type | |
5615 | param() const | |
5616 | { return _M_param; } | |
5617 | ||
5618 | /** | |
5619 | * @brief Sets the parameter set of the distribution. | |
5620 | * @param __param The new parameter set of the distribution. | |
5621 | */ | |
5622 | void | |
5623 | param(const param_type& __param) | |
5624 | { _M_param = __param; } | |
5625 | ||
5626 | /** | |
5627 | * @brief Returns the greatest lower bound value of the distribution. | |
5628 | */ | |
5629 | result_type | |
5630 | min() const | |
879b9073 PC |
5631 | { |
5632 | return _M_param._M_int.empty() | |
5633 | ? result_type(0) : _M_param._M_int.front(); | |
5634 | } | |
8e79468d BK |
5635 | |
5636 | /** | |
5637 | * @brief Returns the least upper bound value of the distribution. | |
5638 | */ | |
5639 | result_type | |
5640 | max() const | |
879b9073 PC |
5641 | { |
5642 | return _M_param._M_int.empty() | |
5643 | ? result_type(1) : _M_param._M_int.back(); | |
5644 | } | |
8e79468d | 5645 | |
247d8075 PC |
5646 | /** |
5647 | * @brief Generating functions. | |
5648 | */ | |
8e79468d BK |
5649 | template<typename _UniformRandomNumberGenerator> |
5650 | result_type | |
5651 | operator()(_UniformRandomNumberGenerator& __urng) | |
5652 | { return this->operator()(__urng, this->param()); } | |
5653 | ||
5654 | template<typename _UniformRandomNumberGenerator> | |
5655 | result_type | |
5656 | operator()(_UniformRandomNumberGenerator& __urng, | |
5657 | const param_type& __p); | |
5658 | ||
7b93bdde UD |
5659 | template<typename _ForwardIterator, |
5660 | typename _UniformRandomNumberGenerator> | |
5661 | void | |
5662 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5663 | _UniformRandomNumberGenerator& __urng) | |
5664 | { this->__generate(__f, __t, __urng, this->param()); } | |
5665 | ||
5666 | template<typename _ForwardIterator, | |
5667 | typename _UniformRandomNumberGenerator> | |
5668 | void | |
5669 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5670 | _UniformRandomNumberGenerator& __urng, | |
5671 | const param_type& __p) | |
5672 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5673 | ||
5674 | template<typename _UniformRandomNumberGenerator> | |
5675 | void | |
5676 | __generate(result_type* __f, result_type* __t, | |
5677 | _UniformRandomNumberGenerator& __urng, | |
5678 | const param_type& __p) | |
5679 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5680 | ||
8e79468d BK |
5681 | /** |
5682 | * @brief Inserts a %piecewise_constan_distribution random | |
5683 | * number distribution @p __x into the output stream @p __os. | |
5684 | * | |
5685 | * @param __os An output stream. | |
5686 | * @param __x A %piecewise_constan_distribution random number | |
5687 | * distribution. | |
5688 | * | |
5689 | * @returns The output stream with the state of @p __x inserted or in | |
5690 | * an error state. | |
5691 | */ | |
5692 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5693 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5694 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5695 | const std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5696 | |
5697 | /** | |
5698 | * @brief Extracts a %piecewise_constan_distribution random | |
5699 | * number distribution @p __x from the input stream @p __is. | |
5700 | * | |
5701 | * @param __is An input stream. | |
5702 | * @param __x A %piecewise_constan_distribution random number | |
5703 | * generator engine. | |
5704 | * | |
5705 | * @returns The input stream with @p __x extracted or in an error | |
5706 | * state. | |
5707 | */ | |
5708 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5709 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5710 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5711 | std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5712 | |
5713 | private: | |
7b93bdde UD |
5714 | template<typename _ForwardIterator, |
5715 | typename _UniformRandomNumberGenerator> | |
5716 | void | |
5717 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5718 | _UniformRandomNumberGenerator& __urng, | |
5719 | const param_type& __p); | |
5720 | ||
8e79468d BK |
5721 | param_type _M_param; |
5722 | }; | |
5723 | ||
fc05e1ba PC |
5724 | /** |
5725 | * @brief Return true if two piecewise constant distributions have the | |
5726 | * same parameters. | |
5727 | */ | |
5728 | template<typename _RealType> | |
5729 | inline bool | |
5730 | operator==(const std::piecewise_constant_distribution<_RealType>& __d1, | |
5731 | const std::piecewise_constant_distribution<_RealType>& __d2) | |
5732 | { return __d1.param() == __d2.param(); } | |
5733 | ||
5734 | /** | |
5735 | * @brief Return true if two piecewise constant distributions have | |
5736 | * different parameters. | |
5737 | */ | |
5738 | template<typename _RealType> | |
5739 | inline bool | |
5740 | operator!=(const std::piecewise_constant_distribution<_RealType>& __d1, | |
5741 | const std::piecewise_constant_distribution<_RealType>& __d2) | |
5742 | { return !(__d1 == __d2); } | |
5743 | ||
8e79468d BK |
5744 | |
5745 | /** | |
5746 | * @brief A piecewise_linear_distribution random number distribution. | |
5747 | * | |
5748 | * The formula for the piecewise linear probability mass function is | |
5749 | * | |
5750 | */ | |
5751 | template<typename _RealType = double> | |
5752 | class piecewise_linear_distribution | |
5753 | { | |
77e3c516 PC |
5754 | static_assert(std::is_floating_point<_RealType>::value, |
5755 | "template argument not a floating point type"); | |
5756 | ||
8e79468d BK |
5757 | public: |
5758 | /** The type of the range of the distribution. */ | |
5759 | typedef _RealType result_type; | |
5760 | /** Parameter type. */ | |
5761 | struct param_type | |
5762 | { | |
5763 | typedef piecewise_linear_distribution<_RealType> distribution_type; | |
5764 | friend class piecewise_linear_distribution<_RealType>; | |
5765 | ||
f8dd9e0d | 5766 | param_type() |
879b9073 PC |
5767 | : _M_int(), _M_den(), _M_cp(), _M_m() |
5768 | { } | |
8e79468d BK |
5769 | |
5770 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5771 | param_type(_InputIteratorB __bfirst, | |
5772 | _InputIteratorB __bend, | |
5773 | _InputIteratorW __wbegin); | |
5774 | ||
5775 | template<typename _Func> | |
f8dd9e0d | 5776 | param_type(initializer_list<_RealType> __bl, _Func __fw); |
8e79468d BK |
5777 | |
5778 | template<typename _Func> | |
5779 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5780 | _Func __fw); | |
5781 | ||
ce9555cb PC |
5782 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5783 | param_type(const param_type&) = default; | |
5784 | param_type& operator=(const param_type&) = default; | |
5785 | ||
8e79468d BK |
5786 | std::vector<_RealType> |
5787 | intervals() const | |
879b9073 PC |
5788 | { |
5789 | if (_M_int.empty()) | |
5790 | { | |
5791 | std::vector<_RealType> __tmp(2); | |
5792 | __tmp[1] = _RealType(1); | |
5793 | return __tmp; | |
5794 | } | |
5795 | else | |
5796 | return _M_int; | |
5797 | } | |
8e79468d BK |
5798 | |
5799 | std::vector<double> | |
5800 | densities() const | |
879b9073 | 5801 | { return _M_den.empty() ? std::vector<double>(2, 1.0) : _M_den; } |
8e79468d | 5802 | |
fc05e1ba PC |
5803 | friend bool |
5804 | operator==(const param_type& __p1, const param_type& __p2) | |
5805 | { return (__p1._M_int == __p2._M_int | |
5806 | && __p1._M_den == __p2._M_den); } | |
5807 | ||
8e79468d BK |
5808 | private: |
5809 | void | |
5810 | _M_initialize(); | |
5811 | ||
5812 | std::vector<_RealType> _M_int; | |
5813 | std::vector<double> _M_den; | |
5814 | std::vector<double> _M_cp; | |
5815 | std::vector<double> _M_m; | |
5816 | }; | |
5817 | ||
5818 | explicit | |
5819 | piecewise_linear_distribution() | |
5820 | : _M_param() | |
5821 | { } | |
5822 | ||
5823 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5824 | piecewise_linear_distribution(_InputIteratorB __bfirst, | |
5825 | _InputIteratorB __bend, | |
5826 | _InputIteratorW __wbegin) | |
5827 | : _M_param(__bfirst, __bend, __wbegin) | |
5828 | { } | |
5829 | ||
5830 | template<typename _Func> | |
f8dd9e0d | 5831 | piecewise_linear_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5832 | _Func __fw) |
f8dd9e0d | 5833 | : _M_param(__bl, __fw) |
8e79468d BK |
5834 | { } |
5835 | ||
5836 | template<typename _Func> | |
5837 | piecewise_linear_distribution(size_t __nw, | |
5838 | _RealType __xmin, _RealType __xmax, | |
5839 | _Func __fw) | |
5840 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5841 | { } | |
5842 | ||
5843 | explicit | |
5844 | piecewise_linear_distribution(const param_type& __p) | |
5845 | : _M_param(__p) | |
5846 | { } | |
5847 | ||
5848 | /** | |
5849 | * Resets the distribution state. | |
5850 | */ | |
5851 | void | |
5852 | reset() | |
5853 | { } | |
5854 | ||
5855 | /** | |
5856 | * @brief Return the intervals of the distribution. | |
5857 | */ | |
5858 | std::vector<_RealType> | |
5859 | intervals() const | |
879b9073 PC |
5860 | { |
5861 | if (_M_param._M_int.empty()) | |
5862 | { | |
5863 | std::vector<_RealType> __tmp(2); | |
5864 | __tmp[1] = _RealType(1); | |
5865 | return __tmp; | |
5866 | } | |
5867 | else | |
5868 | return _M_param._M_int; | |
5869 | } | |
8e79468d BK |
5870 | |
5871 | /** | |
5872 | * @brief Return a vector of the probability densities of the | |
5873 | * distribution. | |
5874 | */ | |
5875 | std::vector<double> | |
5876 | densities() const | |
879b9073 PC |
5877 | { |
5878 | return _M_param._M_den.empty() | |
5879 | ? std::vector<double>(2, 1.0) : _M_param._M_den; | |
5880 | } | |
8e79468d BK |
5881 | |
5882 | /** | |
5883 | * @brief Returns the parameter set of the distribution. | |
5884 | */ | |
5885 | param_type | |
5886 | param() const | |
5887 | { return _M_param; } | |
5888 | ||
5889 | /** | |
5890 | * @brief Sets the parameter set of the distribution. | |
5891 | * @param __param The new parameter set of the distribution. | |
5892 | */ | |
5893 | void | |
5894 | param(const param_type& __param) | |
5895 | { _M_param = __param; } | |
5896 | ||
5897 | /** | |
5898 | * @brief Returns the greatest lower bound value of the distribution. | |
5899 | */ | |
5900 | result_type | |
5901 | min() const | |
879b9073 PC |
5902 | { |
5903 | return _M_param._M_int.empty() | |
5904 | ? result_type(0) : _M_param._M_int.front(); | |
5905 | } | |
8e79468d BK |
5906 | |
5907 | /** | |
5908 | * @brief Returns the least upper bound value of the distribution. | |
5909 | */ | |
5910 | result_type | |
5911 | max() const | |
879b9073 PC |
5912 | { |
5913 | return _M_param._M_int.empty() | |
5914 | ? result_type(1) : _M_param._M_int.back(); | |
5915 | } | |
8e79468d | 5916 | |
247d8075 PC |
5917 | /** |
5918 | * @brief Generating functions. | |
5919 | */ | |
8e79468d BK |
5920 | template<typename _UniformRandomNumberGenerator> |
5921 | result_type | |
5922 | operator()(_UniformRandomNumberGenerator& __urng) | |
5923 | { return this->operator()(__urng, this->param()); } | |
5924 | ||
5925 | template<typename _UniformRandomNumberGenerator> | |
5926 | result_type | |
5927 | operator()(_UniformRandomNumberGenerator& __urng, | |
5928 | const param_type& __p); | |
5929 | ||
7b93bdde UD |
5930 | template<typename _ForwardIterator, |
5931 | typename _UniformRandomNumberGenerator> | |
5932 | void | |
5933 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5934 | _UniformRandomNumberGenerator& __urng) | |
5935 | { this->__generate(__f, __t, __urng, this->param()); } | |
5936 | ||
5937 | template<typename _ForwardIterator, | |
5938 | typename _UniformRandomNumberGenerator> | |
5939 | void | |
5940 | __generate(_ForwardIterator __f, _ForwardIterator __t, | |
5941 | _UniformRandomNumberGenerator& __urng, | |
5942 | const param_type& __p) | |
5943 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5944 | ||
5945 | template<typename _UniformRandomNumberGenerator> | |
5946 | void | |
5947 | __generate(result_type* __f, result_type* __t, | |
5948 | _UniformRandomNumberGenerator& __urng, | |
5949 | const param_type& __p) | |
5950 | { this->__generate_impl(__f, __t, __urng, __p); } | |
5951 | ||
8e79468d BK |
5952 | /** |
5953 | * @brief Inserts a %piecewise_linear_distribution random number | |
5954 | * distribution @p __x into the output stream @p __os. | |
5955 | * | |
5956 | * @param __os An output stream. | |
5957 | * @param __x A %piecewise_linear_distribution random number | |
5958 | * distribution. | |
5959 | * | |
5960 | * @returns The output stream with the state of @p __x inserted or in | |
5961 | * an error state. | |
5962 | */ | |
5963 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5964 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5965 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5966 | const std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
5967 | |
5968 | /** | |
5969 | * @brief Extracts a %piecewise_linear_distribution random number | |
5970 | * distribution @p __x from the input stream @p __is. | |
5971 | * | |
5972 | * @param __is An input stream. | |
5973 | * @param __x A %piecewise_linear_distribution random number | |
5974 | * generator engine. | |
5975 | * | |
5976 | * @returns The input stream with @p __x extracted or in an error | |
5977 | * state. | |
5978 | */ | |
5979 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5980 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5981 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5982 | std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
5983 | |
5984 | private: | |
7b93bdde UD |
5985 | template<typename _ForwardIterator, |
5986 | typename _UniformRandomNumberGenerator> | |
5987 | void | |
5988 | __generate_impl(_ForwardIterator __f, _ForwardIterator __t, | |
5989 | _UniformRandomNumberGenerator& __urng, | |
5990 | const param_type& __p); | |
5991 | ||
8e79468d BK |
5992 | param_type _M_param; |
5993 | }; | |
5994 | ||
fc05e1ba PC |
5995 | /** |
5996 | * @brief Return true if two piecewise linear distributions have the | |
5997 | * same parameters. | |
5998 | */ | |
5999 | template<typename _RealType> | |
6000 | inline bool | |
6001 | operator==(const std::piecewise_linear_distribution<_RealType>& __d1, | |
6002 | const std::piecewise_linear_distribution<_RealType>& __d2) | |
6003 | { return __d1.param() == __d2.param(); } | |
6004 | ||
6005 | /** | |
6006 | * @brief Return true if two piecewise linear distributions have | |
6007 | * different parameters. | |
6008 | */ | |
6009 | template<typename _RealType> | |
6010 | inline bool | |
6011 | operator!=(const std::piecewise_linear_distribution<_RealType>& __d1, | |
6012 | const std::piecewise_linear_distribution<_RealType>& __d2) | |
6013 | { return !(__d1 == __d2); } | |
6014 | ||
8e79468d | 6015 | |
037181bc | 6016 | /* @} */ // group random_distributions_poisson |
8e79468d | 6017 | |
037181bc | 6018 | /* @} */ // group random_distributions |
8e79468d BK |
6019 | |
6020 | /** | |
037181bc BK |
6021 | * @addtogroup random_utilities Random Number Utilities |
6022 | * @ingroup random | |
8e79468d BK |
6023 | * @{ |
6024 | */ | |
6025 | ||
6026 | /** | |
6027 | * @brief The seed_seq class generates sequences of seeds for random | |
6028 | * number generators. | |
6029 | */ | |
6030 | class seed_seq | |
6031 | { | |
6032 | ||
6033 | public: | |
6034 | /** The type of the seed vales. */ | |
6035 | typedef uint_least32_t result_type; | |
6036 | ||
6037 | /** Default constructor. */ | |
6038 | seed_seq() | |
6039 | : _M_v() | |
6040 | { } | |
6041 | ||
6042 | template<typename _IntType> | |
6043 | seed_seq(std::initializer_list<_IntType> il); | |
6044 | ||
6045 | template<typename _InputIterator> | |
6046 | seed_seq(_InputIterator __begin, _InputIterator __end); | |
6047 | ||
6048 | // generating functions | |
6049 | template<typename _RandomAccessIterator> | |
6050 | void | |
6051 | generate(_RandomAccessIterator __begin, _RandomAccessIterator __end); | |
6052 | ||
6053 | // property functions | |
6054 | size_t size() const | |
6055 | { return _M_v.size(); } | |
6056 | ||
6057 | template<typename OutputIterator> | |
6058 | void | |
6059 | param(OutputIterator __dest) const | |
6060 | { std::copy(_M_v.begin(), _M_v.end(), __dest); } | |
6061 | ||
6062 | private: | |
6063 | /// | |
94986f6d | 6064 | std::vector<result_type> _M_v; |
8e79468d BK |
6065 | }; |
6066 | ||
037181bc | 6067 | /* @} */ // group random_utilities |
8e79468d | 6068 | |
037181bc | 6069 | /* @} */ // group random |
12ffa228 BK |
6070 | |
6071 | _GLIBCXX_END_NAMESPACE_VERSION | |
6072 | } // namespace std | |
8e79468d | 6073 | |
06f29237 | 6074 | #endif |