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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 | ||
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34 | #include <vector> |
35 | ||
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36 | namespace std _GLIBCXX_VISIBILITY(default) |
37 | { | |
38 | _GLIBCXX_BEGIN_NAMESPACE_VERSION | |
53dc5044 | 39 | |
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40 | // [26.4] Random number generation |
41 | ||
42 | /** | |
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43 | * @defgroup random Random Number Generation |
44 | * @ingroup numerics | |
45 | * | |
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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 | ||
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60 | _GLIBCXX_END_NAMESPACE_VERSION |
61 | ||
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62 | /* |
63 | * Implementation-space details. | |
64 | */ | |
65 | namespace __detail | |
66 | { | |
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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 BK |
151 | |
152 | /* | |
153 | * An adaptor class for converting the output of any Generator into | |
154 | * the input for a specific Distribution. | |
155 | */ | |
156 | template<typename _Engine, typename _DInputType> | |
157 | struct _Adaptor | |
158 | { | |
159 | ||
160 | public: | |
161 | _Adaptor(_Engine& __g) | |
162 | : _M_g(__g) { } | |
163 | ||
164 | _DInputType | |
165 | min() const | |
9b88236b | 166 | { return _DInputType(0); } |
8e79468d BK |
167 | |
168 | _DInputType | |
169 | max() const | |
9b88236b | 170 | { return _DInputType(1); } |
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171 | |
172 | /* | |
173 | * Converts a value generated by the adapted random number generator | |
174 | * into a value in the input domain for the dependent random number | |
175 | * distribution. | |
8e79468d BK |
176 | */ |
177 | _DInputType | |
178 | operator()() | |
179 | { | |
9b88236b PC |
180 | return std::generate_canonical<_DInputType, |
181 | std::numeric_limits<_DInputType>::digits, | |
182 | _Engine>(_M_g); | |
8e79468d BK |
183 | } |
184 | ||
185 | private: | |
186 | _Engine& _M_g; | |
187 | }; | |
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188 | |
189 | _GLIBCXX_END_NAMESPACE_VERSION | |
8e79468d BK |
190 | } // namespace __detail |
191 | ||
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192 | _GLIBCXX_BEGIN_NAMESPACE_VERSION |
193 | ||
8e79468d | 194 | /** |
037181bc BK |
195 | * @addtogroup random_generators Random Number Generators |
196 | * @ingroup random | |
8e79468d BK |
197 | * |
198 | * These classes define objects which provide random or pseudorandom | |
199 | * numbers, either from a discrete or a continuous interval. The | |
200 | * random number generator supplied as a part of this library are | |
201 | * all uniform random number generators which provide a sequence of | |
202 | * random number uniformly distributed over their range. | |
203 | * | |
204 | * A number generator is a function object with an operator() that | |
205 | * takes zero arguments and returns a number. | |
206 | * | |
207 | * A compliant random number generator must satisfy the following | |
208 | * requirements. <table border=1 cellpadding=10 cellspacing=0> | |
209 | * <caption align=top>Random Number Generator Requirements</caption> | |
210 | * <tr><td>To be documented.</td></tr> </table> | |
211 | * | |
212 | * @{ | |
213 | */ | |
214 | ||
215 | /** | |
216 | * @brief A model of a linear congruential random number generator. | |
217 | * | |
6cc5a790 BK |
218 | * A random number generator that produces pseudorandom numbers via |
219 | * linear function: | |
220 | * @f[ | |
221 | * x_{i+1}\leftarrow(ax_{i} + c) \bmod m | |
222 | * @f] | |
8e79468d BK |
223 | * |
224 | * The template parameter @p _UIntType must be an unsigned integral type | |
225 | * large enough to store values up to (__m-1). If the template parameter | |
226 | * @p __m is 0, the modulus @p __m used is | |
227 | * std::numeric_limits<_UIntType>::max() plus 1. Otherwise, the template | |
228 | * parameters @p __a and @p __c must be less than @p __m. | |
229 | * | |
6cc5a790 | 230 | * The size of the state is @f$1@f$. |
8e79468d BK |
231 | */ |
232 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
233 | class linear_congruential_engine | |
234 | { | |
77e3c516 | 235 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 236 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 237 | static_assert(__m == 0u || (__a < __m && __c < __m), |
f6d08b43 | 238 | "template argument substituting __m out of bounds"); |
8e79468d BK |
239 | |
240 | public: | |
241 | /** The type of the generated random value. */ | |
242 | typedef _UIntType result_type; | |
243 | ||
244 | /** The multiplier. */ | |
94a86be0 | 245 | static constexpr result_type multiplier = __a; |
8e79468d | 246 | /** An increment. */ |
94a86be0 | 247 | static constexpr result_type increment = __c; |
8e79468d | 248 | /** The modulus. */ |
94a86be0 BK |
249 | static constexpr result_type modulus = __m; |
250 | static constexpr result_type default_seed = 1u; | |
8e79468d BK |
251 | |
252 | /** | |
253 | * @brief Constructs a %linear_congruential_engine random number | |
254 | * generator engine with seed @p __s. The default seed value | |
255 | * is 1. | |
256 | * | |
257 | * @param __s The initial seed value. | |
258 | */ | |
259 | explicit | |
260 | linear_congruential_engine(result_type __s = default_seed) | |
15ecdcc6 | 261 | { seed(__s); } |
8e79468d BK |
262 | |
263 | /** | |
264 | * @brief Constructs a %linear_congruential_engine random number | |
265 | * generator engine seeded from the seed sequence @p __q. | |
266 | * | |
267 | * @param __q the seed sequence. | |
268 | */ | |
05eeebfe PC |
269 | template<typename _Sseq, typename = typename |
270 | std::enable_if<!std::is_same<_Sseq, linear_congruential_engine>::value> | |
271 | ::type> | |
15ecdcc6 PC |
272 | explicit |
273 | linear_congruential_engine(_Sseq& __q) | |
05eeebfe | 274 | { seed(__q); } |
8e79468d BK |
275 | |
276 | /** | |
277 | * @brief Reseeds the %linear_congruential_engine random number generator | |
04b70271 | 278 | * engine sequence to the seed @p __s. |
8e79468d BK |
279 | * |
280 | * @param __s The new seed. | |
281 | */ | |
282 | void | |
283 | seed(result_type __s = default_seed); | |
284 | ||
285 | /** | |
286 | * @brief Reseeds the %linear_congruential_engine random number generator | |
287 | * engine | |
288 | * sequence using values from the seed sequence @p __q. | |
289 | * | |
290 | * @param __q the seed sequence. | |
291 | */ | |
05eeebfe PC |
292 | template<typename _Sseq> |
293 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 294 | seed(_Sseq& __q); |
8e79468d BK |
295 | |
296 | /** | |
297 | * @brief Gets the smallest possible value in the output range. | |
298 | * | |
299 | * The minimum depends on the @p __c parameter: if it is zero, the | |
300 | * minimum generated must be > 0, otherwise 0 is allowed. | |
8e79468d | 301 | */ |
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302 | static constexpr result_type |
303 | min() | |
96a9203b | 304 | { return __c == 0u ? 1u : 0u; } |
8e79468d BK |
305 | |
306 | /** | |
307 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 308 | */ |
94a86be0 BK |
309 | static constexpr result_type |
310 | max() | |
96a9203b | 311 | { return __m - 1u; } |
8e79468d BK |
312 | |
313 | /** | |
314 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
315 | */ |
316 | void | |
317 | discard(unsigned long long __z) | |
318 | { | |
319 | for (; __z != 0ULL; --__z) | |
320 | (*this)(); | |
321 | } | |
322 | ||
323 | /** | |
324 | * @brief Gets the next random number in the sequence. | |
325 | */ | |
326 | result_type | |
b01630bb PC |
327 | operator()() |
328 | { | |
b94f4bef | 329 | _M_x = __detail::__mod<_UIntType, __m, __a, __c>(_M_x); |
b01630bb PC |
330 | return _M_x; |
331 | } | |
8e79468d BK |
332 | |
333 | /** | |
334 | * @brief Compares two linear congruential random number generator | |
335 | * objects of the same type for equality. | |
336 | * | |
337 | * @param __lhs A linear congruential random number generator object. | |
338 | * @param __rhs Another linear congruential random number generator | |
339 | * object. | |
340 | * | |
fc05e1ba PC |
341 | * @returns true if the infinite sequences of generated values |
342 | * would be equal, false otherwise. | |
8e79468d BK |
343 | */ |
344 | friend bool | |
345 | operator==(const linear_congruential_engine& __lhs, | |
346 | const linear_congruential_engine& __rhs) | |
347 | { return __lhs._M_x == __rhs._M_x; } | |
348 | ||
349 | /** | |
350 | * @brief Writes the textual representation of the state x(i) of x to | |
351 | * @p __os. | |
352 | * | |
353 | * @param __os The output stream. | |
354 | * @param __lcr A % linear_congruential_engine random number generator. | |
355 | * @returns __os. | |
356 | */ | |
357 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 358 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 359 | friend std::basic_ostream<_CharT, _Traits>& |
93c66bc6 | 360 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 361 | const std::linear_congruential_engine<_UIntType1, |
93c66bc6 | 362 | __a1, __c1, __m1>& __lcr); |
8e79468d BK |
363 | |
364 | /** | |
365 | * @brief Sets the state of the engine by reading its textual | |
366 | * representation from @p __is. | |
367 | * | |
368 | * The textual representation must have been previously written using | |
369 | * an output stream whose imbued locale and whose type's template | |
370 | * specialization arguments _CharT and _Traits were the same as those | |
371 | * of @p __is. | |
372 | * | |
373 | * @param __is The input stream. | |
374 | * @param __lcr A % linear_congruential_engine random number generator. | |
375 | * @returns __is. | |
376 | */ | |
377 | template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1, | |
b94f4bef | 378 | _UIntType1 __m1, typename _CharT, typename _Traits> |
8e79468d | 379 | friend std::basic_istream<_CharT, _Traits>& |
93c66bc6 | 380 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 381 | std::linear_congruential_engine<_UIntType1, __a1, |
93c66bc6 | 382 | __c1, __m1>& __lcr); |
8e79468d BK |
383 | |
384 | private: | |
8e79468d BK |
385 | _UIntType _M_x; |
386 | }; | |
387 | ||
fc05e1ba PC |
388 | /** |
389 | * @brief Compares two linear congruential random number generator | |
390 | * objects of the same type for inequality. | |
391 | * | |
392 | * @param __lhs A linear congruential random number generator object. | |
393 | * @param __rhs Another linear congruential random number generator | |
394 | * object. | |
395 | * | |
396 | * @returns true if the infinite sequences of generated values | |
397 | * would be different, false otherwise. | |
398 | */ | |
399 | template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m> | |
400 | inline bool | |
401 | operator!=(const std::linear_congruential_engine<_UIntType, __a, | |
402 | __c, __m>& __lhs, | |
403 | const std::linear_congruential_engine<_UIntType, __a, | |
404 | __c, __m>& __rhs) | |
405 | { return !(__lhs == __rhs); } | |
406 | ||
8e79468d BK |
407 | |
408 | /** | |
409 | * A generalized feedback shift register discrete random number generator. | |
410 | * | |
411 | * This algorithm avoids multiplication and division and is designed to be | |
412 | * friendly to a pipelined architecture. If the parameters are chosen | |
413 | * correctly, this generator will produce numbers with a very long period and | |
414 | * fairly good apparent entropy, although still not cryptographically strong. | |
415 | * | |
416 | * The best way to use this generator is with the predefined mt19937 class. | |
417 | * | |
418 | * This algorithm was originally invented by Makoto Matsumoto and | |
419 | * Takuji Nishimura. | |
420 | * | |
93c66bc6 BK |
421 | * @tparam __w Word size, the number of bits in each element of |
422 | * the state vector. | |
423 | * @tparam __n The degree of recursion. | |
424 | * @tparam __m The period parameter. | |
425 | * @tparam __r The separation point bit index. | |
426 | * @tparam __a The last row of the twist matrix. | |
427 | * @tparam __u The first right-shift tempering matrix parameter. | |
428 | * @tparam __d The first right-shift tempering matrix mask. | |
429 | * @tparam __s The first left-shift tempering matrix parameter. | |
430 | * @tparam __b The first left-shift tempering matrix mask. | |
431 | * @tparam __t The second left-shift tempering matrix parameter. | |
432 | * @tparam __c The second left-shift tempering matrix mask. | |
433 | * @tparam __l The second right-shift tempering matrix parameter. | |
434 | * @tparam __f Initialization multiplier. | |
8e79468d BK |
435 | */ |
436 | template<typename _UIntType, size_t __w, | |
437 | size_t __n, size_t __m, size_t __r, | |
438 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
439 | _UIntType __b, size_t __t, | |
440 | _UIntType __c, size_t __l, _UIntType __f> | |
441 | class mersenne_twister_engine | |
442 | { | |
77e3c516 | 443 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 444 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 445 | static_assert(1u <= __m && __m <= __n, |
f6d08b43 PC |
446 | "template argument substituting __m out of bounds"); |
447 | static_assert(__r <= __w, "template argument substituting " | |
448 | "__r out of bound"); | |
449 | static_assert(__u <= __w, "template argument substituting " | |
450 | "__u out of bound"); | |
451 | static_assert(__s <= __w, "template argument substituting " | |
452 | "__s out of bound"); | |
453 | static_assert(__t <= __w, "template argument substituting " | |
454 | "__t out of bound"); | |
455 | static_assert(__l <= __w, "template argument substituting " | |
456 | "__l out of bound"); | |
77e3c516 | 457 | static_assert(__w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 458 | "template argument substituting __w out of bound"); |
6855fe45 | 459 | static_assert(__a <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 460 | "template argument substituting __a out of bound"); |
6855fe45 | 461 | static_assert(__b <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 462 | "template argument substituting __b out of bound"); |
6855fe45 | 463 | static_assert(__c <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 464 | "template argument substituting __c out of bound"); |
b94f4bef | 465 | static_assert(__d <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 466 | "template argument substituting __d out of bound"); |
b94f4bef | 467 | static_assert(__f <= (__detail::_Shift<_UIntType, __w>::__value - 1), |
f6d08b43 | 468 | "template argument substituting __f out of bound"); |
8e79468d BK |
469 | |
470 | public: | |
471 | /** The type of the generated random value. */ | |
472 | typedef _UIntType result_type; | |
473 | ||
474 | // parameter values | |
94a86be0 BK |
475 | static constexpr size_t word_size = __w; |
476 | static constexpr size_t state_size = __n; | |
477 | static constexpr size_t shift_size = __m; | |
478 | static constexpr size_t mask_bits = __r; | |
479 | static constexpr result_type xor_mask = __a; | |
480 | static constexpr size_t tempering_u = __u; | |
481 | static constexpr result_type tempering_d = __d; | |
482 | static constexpr size_t tempering_s = __s; | |
483 | static constexpr result_type tempering_b = __b; | |
484 | static constexpr size_t tempering_t = __t; | |
485 | static constexpr result_type tempering_c = __c; | |
486 | static constexpr size_t tempering_l = __l; | |
487 | static constexpr result_type initialization_multiplier = __f; | |
488 | static constexpr result_type default_seed = 5489u; | |
8e79468d BK |
489 | |
490 | // constructors and member function | |
491 | explicit | |
492 | mersenne_twister_engine(result_type __sd = default_seed) | |
493 | { seed(__sd); } | |
494 | ||
495 | /** | |
496 | * @brief Constructs a %mersenne_twister_engine random number generator | |
497 | * engine seeded from the seed sequence @p __q. | |
498 | * | |
499 | * @param __q the seed sequence. | |
500 | */ | |
05eeebfe PC |
501 | template<typename _Sseq, typename = typename |
502 | std::enable_if<!std::is_same<_Sseq, mersenne_twister_engine>::value> | |
503 | ::type> | |
15ecdcc6 PC |
504 | explicit |
505 | mersenne_twister_engine(_Sseq& __q) | |
05eeebfe | 506 | { seed(__q); } |
8e79468d BK |
507 | |
508 | void | |
509 | seed(result_type __sd = default_seed); | |
510 | ||
05eeebfe PC |
511 | template<typename _Sseq> |
512 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 513 | seed(_Sseq& __q); |
8e79468d BK |
514 | |
515 | /** | |
516 | * @brief Gets the smallest possible value in the output range. | |
8e79468d | 517 | */ |
94a86be0 BK |
518 | static constexpr result_type |
519 | min() | |
8e79468d BK |
520 | { return 0; }; |
521 | ||
522 | /** | |
523 | * @brief Gets the largest possible value in the output range. | |
8e79468d | 524 | */ |
94a86be0 BK |
525 | static constexpr result_type |
526 | max() | |
6855fe45 | 527 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
528 | |
529 | /** | |
530 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
531 | */ |
532 | void | |
b668e41a | 533 | discard(unsigned long long __z); |
8e79468d BK |
534 | |
535 | result_type | |
536 | operator()(); | |
537 | ||
538 | /** | |
539 | * @brief Compares two % mersenne_twister_engine random number generator | |
540 | * objects of the same type for equality. | |
541 | * | |
542 | * @param __lhs A % mersenne_twister_engine random number generator | |
543 | * object. | |
544 | * @param __rhs Another % mersenne_twister_engine random number | |
545 | * generator object. | |
546 | * | |
fc05e1ba PC |
547 | * @returns true if the infinite sequences of generated values |
548 | * would be equal, false otherwise. | |
8e79468d BK |
549 | */ |
550 | friend bool | |
551 | operator==(const mersenne_twister_engine& __lhs, | |
552 | const mersenne_twister_engine& __rhs) | |
31645179 PC |
553 | { return (std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x) |
554 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
555 | |
556 | /** | |
557 | * @brief Inserts the current state of a % mersenne_twister_engine | |
558 | * random number generator engine @p __x into the output stream | |
559 | * @p __os. | |
560 | * | |
561 | * @param __os An output stream. | |
562 | * @param __x A % mersenne_twister_engine random number generator | |
563 | * engine. | |
564 | * | |
565 | * @returns The output stream with the state of @p __x inserted or in | |
566 | * an error state. | |
567 | */ | |
568 | template<typename _UIntType1, | |
569 | size_t __w1, size_t __n1, | |
570 | size_t __m1, size_t __r1, | |
571 | _UIntType1 __a1, size_t __u1, | |
572 | _UIntType1 __d1, size_t __s1, | |
573 | _UIntType1 __b1, size_t __t1, | |
574 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
575 | typename _CharT, typename _Traits> | |
576 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 577 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d PC |
578 | const std::mersenne_twister_engine<_UIntType1, __w1, __n1, |
579 | __m1, __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 580 | __l1, __f1>& __x); |
8e79468d BK |
581 | |
582 | /** | |
583 | * @brief Extracts the current state of a % mersenne_twister_engine | |
584 | * random number generator engine @p __x from the input stream | |
585 | * @p __is. | |
586 | * | |
587 | * @param __is An input stream. | |
588 | * @param __x A % mersenne_twister_engine random number generator | |
589 | * engine. | |
590 | * | |
591 | * @returns The input stream with the state of @p __x extracted or in | |
592 | * an error state. | |
593 | */ | |
594 | template<typename _UIntType1, | |
595 | size_t __w1, size_t __n1, | |
596 | size_t __m1, size_t __r1, | |
597 | _UIntType1 __a1, size_t __u1, | |
598 | _UIntType1 __d1, size_t __s1, | |
599 | _UIntType1 __b1, size_t __t1, | |
600 | _UIntType1 __c1, size_t __l1, _UIntType1 __f1, | |
601 | typename _CharT, typename _Traits> | |
602 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 603 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d PC |
604 | std::mersenne_twister_engine<_UIntType1, __w1, __n1, __m1, |
605 | __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1, | |
93c66bc6 | 606 | __l1, __f1>& __x); |
8e79468d BK |
607 | |
608 | private: | |
b668e41a UD |
609 | void _M_gen_rand(); |
610 | ||
8e79468d BK |
611 | _UIntType _M_x[state_size]; |
612 | size_t _M_p; | |
613 | }; | |
614 | ||
fc05e1ba PC |
615 | /** |
616 | * @brief Compares two % mersenne_twister_engine random number generator | |
617 | * objects of the same type for inequality. | |
618 | * | |
619 | * @param __lhs A % mersenne_twister_engine random number generator | |
620 | * object. | |
621 | * @param __rhs Another % mersenne_twister_engine random number | |
622 | * generator object. | |
623 | * | |
624 | * @returns true if the infinite sequences of generated values | |
625 | * would be different, false otherwise. | |
626 | */ | |
627 | template<typename _UIntType, size_t __w, | |
628 | size_t __n, size_t __m, size_t __r, | |
629 | _UIntType __a, size_t __u, _UIntType __d, size_t __s, | |
630 | _UIntType __b, size_t __t, | |
631 | _UIntType __c, size_t __l, _UIntType __f> | |
632 | inline bool | |
633 | operator!=(const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
634 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __lhs, | |
635 | const std::mersenne_twister_engine<_UIntType, __w, __n, __m, | |
636 | __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __rhs) | |
637 | { return !(__lhs == __rhs); } | |
638 | ||
639 | ||
8e79468d BK |
640 | /** |
641 | * @brief The Marsaglia-Zaman generator. | |
642 | * | |
643 | * This is a model of a Generalized Fibonacci discrete random number | |
644 | * generator, sometimes referred to as the SWC generator. | |
645 | * | |
646 | * A discrete random number generator that produces pseudorandom | |
6cc5a790 BK |
647 | * numbers using: |
648 | * @f[ | |
649 | * x_{i}\leftarrow(x_{i - s} - x_{i - r} - carry_{i-1}) \bmod m | |
650 | * @f] | |
8e79468d | 651 | * |
6cc5a790 BK |
652 | * The size of the state is @f$r@f$ |
653 | * and the maximum period of the generator is @f$(m^r - m^s - 1)@f$. | |
8e79468d BK |
654 | * |
655 | * @var _M_x The state of the generator. This is a ring buffer. | |
656 | * @var _M_carry The carry. | |
657 | * @var _M_p Current index of x(i - r). | |
658 | */ | |
659 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
660 | class subtract_with_carry_engine | |
661 | { | |
77e3c516 | 662 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 663 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 664 | static_assert(0u < __s && __s < __r, |
f6d08b43 | 665 | "template argument substituting __s out of bounds"); |
77e3c516 | 666 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 667 | "template argument substituting __w out of bounds"); |
8e79468d BK |
668 | |
669 | public: | |
670 | /** The type of the generated random value. */ | |
671 | typedef _UIntType result_type; | |
672 | ||
673 | // parameter values | |
94a86be0 BK |
674 | static constexpr size_t word_size = __w; |
675 | static constexpr size_t short_lag = __s; | |
676 | static constexpr size_t long_lag = __r; | |
677 | static constexpr result_type default_seed = 19780503u; | |
8e79468d BK |
678 | |
679 | /** | |
680 | * @brief Constructs an explicitly seeded % subtract_with_carry_engine | |
681 | * random number generator. | |
682 | */ | |
683 | explicit | |
684 | subtract_with_carry_engine(result_type __sd = default_seed) | |
15ecdcc6 | 685 | { seed(__sd); } |
8e79468d BK |
686 | |
687 | /** | |
688 | * @brief Constructs a %subtract_with_carry_engine random number engine | |
689 | * seeded from the seed sequence @p __q. | |
690 | * | |
691 | * @param __q the seed sequence. | |
692 | */ | |
05eeebfe PC |
693 | template<typename _Sseq, typename = typename |
694 | std::enable_if<!std::is_same<_Sseq, subtract_with_carry_engine>::value> | |
695 | ::type> | |
15ecdcc6 PC |
696 | explicit |
697 | subtract_with_carry_engine(_Sseq& __q) | |
05eeebfe | 698 | { seed(__q); } |
8e79468d BK |
699 | |
700 | /** | |
6cc5a790 | 701 | * @brief Seeds the initial state @f$x_0@f$ of the random number |
8e79468d BK |
702 | * generator. |
703 | * | |
704 | * N1688[4.19] modifies this as follows. If @p __value == 0, | |
705 | * sets value to 19780503. In any case, with a linear | |
706 | * congruential generator lcg(i) having parameters @f$ m_{lcg} = | |
707 | * 2147483563, a_{lcg} = 40014, c_{lcg} = 0, and lcg(0) = value | |
708 | * @f$, sets @f$ x_{-r} \dots x_{-1} @f$ to @f$ lcg(1) \bmod m | |
709 | * \dots lcg(r) \bmod m @f$ respectively. If @f$ x_{-1} = 0 @f$ | |
710 | * set carry to 1, otherwise sets carry to 0. | |
711 | */ | |
712 | void | |
713 | seed(result_type __sd = default_seed); | |
714 | ||
715 | /** | |
6cc5a790 | 716 | * @brief Seeds the initial state @f$x_0@f$ of the |
8e79468d BK |
717 | * % subtract_with_carry_engine random number generator. |
718 | */ | |
05eeebfe PC |
719 | template<typename _Sseq> |
720 | typename std::enable_if<std::is_class<_Sseq>::value>::type | |
15ecdcc6 | 721 | seed(_Sseq& __q); |
8e79468d BK |
722 | |
723 | /** | |
724 | * @brief Gets the inclusive minimum value of the range of random | |
725 | * integers returned by this generator. | |
8e79468d | 726 | */ |
94a86be0 BK |
727 | static constexpr result_type |
728 | min() | |
8e79468d BK |
729 | { return 0; } |
730 | ||
731 | /** | |
732 | * @brief Gets the inclusive maximum value of the range of random | |
733 | * integers returned by this generator. | |
8e79468d | 734 | */ |
94a86be0 BK |
735 | static constexpr result_type |
736 | max() | |
6855fe45 | 737 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
738 | |
739 | /** | |
740 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
741 | */ |
742 | void | |
743 | discard(unsigned long long __z) | |
744 | { | |
745 | for (; __z != 0ULL; --__z) | |
746 | (*this)(); | |
747 | } | |
748 | ||
749 | /** | |
750 | * @brief Gets the next random number in the sequence. | |
751 | */ | |
752 | result_type | |
753 | operator()(); | |
754 | ||
755 | /** | |
756 | * @brief Compares two % subtract_with_carry_engine random number | |
757 | * generator objects of the same type for equality. | |
758 | * | |
759 | * @param __lhs A % subtract_with_carry_engine random number generator | |
760 | * object. | |
761 | * @param __rhs Another % subtract_with_carry_engine random number | |
762 | * generator object. | |
763 | * | |
fc05e1ba PC |
764 | * @returns true if the infinite sequences of generated values |
765 | * would be equal, false otherwise. | |
766 | */ | |
8e79468d BK |
767 | friend bool |
768 | operator==(const subtract_with_carry_engine& __lhs, | |
769 | const subtract_with_carry_engine& __rhs) | |
31645179 PC |
770 | { return (std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x) |
771 | && __lhs._M_carry == __rhs._M_carry | |
772 | && __lhs._M_p == __rhs._M_p); } | |
8e79468d BK |
773 | |
774 | /** | |
775 | * @brief Inserts the current state of a % subtract_with_carry_engine | |
776 | * random number generator engine @p __x into the output stream | |
777 | * @p __os. | |
778 | * | |
779 | * @param __os An output stream. | |
780 | * @param __x A % subtract_with_carry_engine random number generator | |
781 | * engine. | |
782 | * | |
783 | * @returns The output stream with the state of @p __x inserted or in | |
784 | * an error state. | |
785 | */ | |
786 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
787 | typename _CharT, typename _Traits> | |
788 | friend std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
789 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
790 | const std::subtract_with_carry_engine<_UIntType1, __w1, | |
791 | __s1, __r1>&); | |
8e79468d BK |
792 | |
793 | /** | |
794 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
795 | * random number generator engine @p __x from the input stream | |
796 | * @p __is. | |
797 | * | |
798 | * @param __is An input stream. | |
15ecdcc6 PC |
799 | * @param __x A % subtract_with_carry_engine random number generator |
800 | * engine. | |
8e79468d BK |
801 | * |
802 | * @returns The input stream with the state of @p __x extracted or in | |
803 | * an error state. | |
804 | */ | |
805 | template<typename _UIntType1, size_t __w1, size_t __s1, size_t __r1, | |
806 | typename _CharT, typename _Traits> | |
807 | friend std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
808 | operator>>(std::basic_istream<_CharT, _Traits>&, |
809 | std::subtract_with_carry_engine<_UIntType1, __w1, | |
810 | __s1, __r1>&); | |
8e79468d BK |
811 | |
812 | private: | |
8e79468d BK |
813 | _UIntType _M_x[long_lag]; |
814 | _UIntType _M_carry; | |
815 | size_t _M_p; | |
816 | }; | |
817 | ||
fc05e1ba PC |
818 | /** |
819 | * @brief Compares two % subtract_with_carry_engine random number | |
820 | * generator objects of the same type for inequality. | |
821 | * | |
822 | * @param __lhs A % subtract_with_carry_engine random number generator | |
823 | * object. | |
824 | * @param __rhs Another % subtract_with_carry_engine random number | |
825 | * generator object. | |
826 | * | |
827 | * @returns true if the infinite sequences of generated values | |
828 | * would be different, false otherwise. | |
829 | */ | |
830 | template<typename _UIntType, size_t __w, size_t __s, size_t __r> | |
831 | inline bool | |
832 | operator!=(const std::subtract_with_carry_engine<_UIntType, __w, | |
833 | __s, __r>& __lhs, | |
834 | const std::subtract_with_carry_engine<_UIntType, __w, | |
835 | __s, __r>& __rhs) | |
836 | { return !(__lhs == __rhs); } | |
837 | ||
838 | ||
8e79468d BK |
839 | /** |
840 | * Produces random numbers from some base engine by discarding blocks of | |
841 | * data. | |
842 | * | |
843 | * 0 <= @p __r <= @p __p | |
844 | */ | |
845 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
846 | class discard_block_engine | |
847 | { | |
77e3c516 | 848 | static_assert(1 <= __r && __r <= __p, |
f6d08b43 | 849 | "template argument substituting __r out of bounds"); |
8e79468d BK |
850 | |
851 | public: | |
852 | /** The type of the generated random value. */ | |
853 | typedef typename _RandomNumberEngine::result_type result_type; | |
854 | ||
855 | // parameter values | |
94a86be0 BK |
856 | static constexpr size_t block_size = __p; |
857 | static constexpr size_t used_block = __r; | |
8e79468d BK |
858 | |
859 | /** | |
860 | * @brief Constructs a default %discard_block_engine engine. | |
861 | * | |
862 | * The underlying engine is default constructed as well. | |
863 | */ | |
864 | discard_block_engine() | |
865 | : _M_b(), _M_n(0) { } | |
866 | ||
867 | /** | |
868 | * @brief Copy constructs a %discard_block_engine engine. | |
869 | * | |
870 | * Copies an existing base class random number generator. | |
93c66bc6 | 871 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
872 | */ |
873 | explicit | |
93c66bc6 BK |
874 | discard_block_engine(const _RandomNumberEngine& __rng) |
875 | : _M_b(__rng), _M_n(0) { } | |
8e79468d BK |
876 | |
877 | /** | |
878 | * @brief Move constructs a %discard_block_engine engine. | |
879 | * | |
880 | * Copies an existing base class random number generator. | |
93c66bc6 | 881 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
882 | */ |
883 | explicit | |
93c66bc6 BK |
884 | discard_block_engine(_RandomNumberEngine&& __rng) |
885 | : _M_b(std::move(__rng)), _M_n(0) { } | |
8e79468d BK |
886 | |
887 | /** | |
888 | * @brief Seed constructs a %discard_block_engine engine. | |
889 | * | |
890 | * Constructs the underlying generator engine seeded with @p __s. | |
891 | * @param __s A seed value for the base class engine. | |
892 | */ | |
893 | explicit | |
894 | discard_block_engine(result_type __s) | |
895 | : _M_b(__s), _M_n(0) { } | |
896 | ||
897 | /** | |
898 | * @brief Generator construct a %discard_block_engine engine. | |
899 | * | |
900 | * @param __q A seed sequence. | |
901 | */ | |
05eeebfe PC |
902 | template<typename _Sseq, typename = typename |
903 | std::enable_if<!std::is_same<_Sseq, discard_block_engine>::value | |
904 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
905 | ::type> | |
15ecdcc6 PC |
906 | explicit |
907 | discard_block_engine(_Sseq& __q) | |
908 | : _M_b(__q), _M_n(0) | |
909 | { } | |
8e79468d BK |
910 | |
911 | /** | |
912 | * @brief Reseeds the %discard_block_engine object with the default | |
913 | * seed for the underlying base class generator engine. | |
914 | */ | |
915 | void | |
916 | seed() | |
917 | { | |
918 | _M_b.seed(); | |
919 | _M_n = 0; | |
920 | } | |
921 | ||
922 | /** | |
923 | * @brief Reseeds the %discard_block_engine object with the default | |
924 | * seed for the underlying base class generator engine. | |
925 | */ | |
926 | void | |
927 | seed(result_type __s) | |
928 | { | |
929 | _M_b.seed(__s); | |
930 | _M_n = 0; | |
931 | } | |
932 | ||
933 | /** | |
934 | * @brief Reseeds the %discard_block_engine object with the given seed | |
935 | * sequence. | |
936 | * @param __q A seed generator function. | |
937 | */ | |
05eeebfe | 938 | template<typename _Sseq> |
15ecdcc6 PC |
939 | void |
940 | seed(_Sseq& __q) | |
941 | { | |
05eeebfe | 942 | _M_b.seed(__q); |
15ecdcc6 PC |
943 | _M_n = 0; |
944 | } | |
8e79468d BK |
945 | |
946 | /** | |
947 | * @brief Gets a const reference to the underlying generator engine | |
948 | * object. | |
949 | */ | |
950 | const _RandomNumberEngine& | |
18eeaec4 | 951 | base() const noexcept |
8e79468d BK |
952 | { return _M_b; } |
953 | ||
954 | /** | |
955 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 956 | */ |
94a86be0 BK |
957 | static constexpr result_type |
958 | min() | |
959 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
960 | |
961 | /** | |
962 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 963 | */ |
94a86be0 BK |
964 | static constexpr result_type |
965 | max() | |
966 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
967 | |
968 | /** | |
969 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
970 | */ |
971 | void | |
972 | discard(unsigned long long __z) | |
973 | { | |
974 | for (; __z != 0ULL; --__z) | |
975 | (*this)(); | |
976 | } | |
977 | ||
978 | /** | |
979 | * @brief Gets the next value in the generated random number sequence. | |
980 | */ | |
981 | result_type | |
982 | operator()(); | |
983 | ||
984 | /** | |
985 | * @brief Compares two %discard_block_engine random number generator | |
986 | * objects of the same type for equality. | |
987 | * | |
988 | * @param __lhs A %discard_block_engine random number generator object. | |
989 | * @param __rhs Another %discard_block_engine random number generator | |
990 | * object. | |
991 | * | |
fc05e1ba PC |
992 | * @returns true if the infinite sequences of generated values |
993 | * would be equal, false otherwise. | |
8e79468d BK |
994 | */ |
995 | friend bool | |
996 | operator==(const discard_block_engine& __lhs, | |
997 | const discard_block_engine& __rhs) | |
fc05e1ba | 998 | { return __lhs._M_b == __rhs._M_b && __lhs._M_n == __rhs._M_n; } |
8e79468d BK |
999 | |
1000 | /** | |
1001 | * @brief Inserts the current state of a %discard_block_engine random | |
1002 | * number generator engine @p __x into the output stream | |
1003 | * @p __os. | |
1004 | * | |
1005 | * @param __os An output stream. | |
1006 | * @param __x A %discard_block_engine random number generator engine. | |
1007 | * | |
1008 | * @returns The output stream with the state of @p __x inserted or in | |
1009 | * an error state. | |
1010 | */ | |
1011 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1012 | typename _CharT, typename _Traits> | |
1013 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1014 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1015 | const std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1016 | __p1, __r1>& __x); |
8e79468d BK |
1017 | |
1018 | /** | |
1019 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1020 | * random number generator engine @p __x from the input stream | |
1021 | * @p __is. | |
1022 | * | |
1023 | * @param __is An input stream. | |
1024 | * @param __x A %discard_block_engine random number generator engine. | |
1025 | * | |
1026 | * @returns The input stream with the state of @p __x extracted or in | |
1027 | * an error state. | |
1028 | */ | |
1029 | template<typename _RandomNumberEngine1, size_t __p1, size_t __r1, | |
1030 | typename _CharT, typename _Traits> | |
1031 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 | 1032 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
94986f6d | 1033 | std::discard_block_engine<_RandomNumberEngine1, |
93c66bc6 | 1034 | __p1, __r1>& __x); |
8e79468d BK |
1035 | |
1036 | private: | |
1037 | _RandomNumberEngine _M_b; | |
1038 | size_t _M_n; | |
1039 | }; | |
1040 | ||
fc05e1ba PC |
1041 | /** |
1042 | * @brief Compares two %discard_block_engine random number generator | |
1043 | * objects of the same type for inequality. | |
1044 | * | |
1045 | * @param __lhs A %discard_block_engine random number generator object. | |
1046 | * @param __rhs Another %discard_block_engine random number generator | |
1047 | * object. | |
1048 | * | |
1049 | * @returns true if the infinite sequences of generated values | |
1050 | * would be different, false otherwise. | |
1051 | */ | |
1052 | template<typename _RandomNumberEngine, size_t __p, size_t __r> | |
1053 | inline bool | |
1054 | operator!=(const std::discard_block_engine<_RandomNumberEngine, __p, | |
1055 | __r>& __lhs, | |
1056 | const std::discard_block_engine<_RandomNumberEngine, __p, | |
1057 | __r>& __rhs) | |
1058 | { return !(__lhs == __rhs); } | |
1059 | ||
1060 | ||
8e79468d BK |
1061 | /** |
1062 | * Produces random numbers by combining random numbers from some base | |
1063 | * engine to produce random numbers with a specifies number of bits @p __w. | |
1064 | */ | |
1065 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1066 | class independent_bits_engine | |
1067 | { | |
77e3c516 | 1068 | static_assert(std::is_unsigned<_UIntType>::value, "template argument " |
f6d08b43 | 1069 | "substituting _UIntType not an unsigned integral type"); |
77e3c516 | 1070 | static_assert(0u < __w && __w <= std::numeric_limits<_UIntType>::digits, |
f6d08b43 | 1071 | "template argument substituting __w out of bounds"); |
8e79468d BK |
1072 | |
1073 | public: | |
1074 | /** The type of the generated random value. */ | |
1075 | typedef _UIntType result_type; | |
1076 | ||
1077 | /** | |
1078 | * @brief Constructs a default %independent_bits_engine engine. | |
1079 | * | |
1080 | * The underlying engine is default constructed as well. | |
1081 | */ | |
1082 | independent_bits_engine() | |
1083 | : _M_b() { } | |
1084 | ||
1085 | /** | |
1086 | * @brief Copy constructs a %independent_bits_engine engine. | |
1087 | * | |
1088 | * Copies an existing base class random number generator. | |
93c66bc6 | 1089 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1090 | */ |
1091 | explicit | |
93c66bc6 BK |
1092 | independent_bits_engine(const _RandomNumberEngine& __rng) |
1093 | : _M_b(__rng) { } | |
8e79468d BK |
1094 | |
1095 | /** | |
1096 | * @brief Move constructs a %independent_bits_engine engine. | |
1097 | * | |
1098 | * Copies an existing base class random number generator. | |
93c66bc6 | 1099 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1100 | */ |
1101 | explicit | |
93c66bc6 BK |
1102 | independent_bits_engine(_RandomNumberEngine&& __rng) |
1103 | : _M_b(std::move(__rng)) { } | |
8e79468d BK |
1104 | |
1105 | /** | |
1106 | * @brief Seed constructs a %independent_bits_engine engine. | |
1107 | * | |
1108 | * Constructs the underlying generator engine seeded with @p __s. | |
1109 | * @param __s A seed value for the base class engine. | |
1110 | */ | |
1111 | explicit | |
1112 | independent_bits_engine(result_type __s) | |
1113 | : _M_b(__s) { } | |
1114 | ||
1115 | /** | |
1116 | * @brief Generator construct a %independent_bits_engine engine. | |
1117 | * | |
1118 | * @param __q A seed sequence. | |
1119 | */ | |
05eeebfe PC |
1120 | template<typename _Sseq, typename = typename |
1121 | std::enable_if<!std::is_same<_Sseq, independent_bits_engine>::value | |
1122 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
1123 | ::type> | |
15ecdcc6 PC |
1124 | explicit |
1125 | independent_bits_engine(_Sseq& __q) | |
1126 | : _M_b(__q) | |
1127 | { } | |
8e79468d BK |
1128 | |
1129 | /** | |
1130 | * @brief Reseeds the %independent_bits_engine object with the default | |
1131 | * seed for the underlying base class generator engine. | |
1132 | */ | |
1133 | void | |
1134 | seed() | |
1135 | { _M_b.seed(); } | |
1136 | ||
1137 | /** | |
1138 | * @brief Reseeds the %independent_bits_engine object with the default | |
1139 | * seed for the underlying base class generator engine. | |
1140 | */ | |
1141 | void | |
1142 | seed(result_type __s) | |
1143 | { _M_b.seed(__s); } | |
1144 | ||
1145 | /** | |
1146 | * @brief Reseeds the %independent_bits_engine object with the given | |
1147 | * seed sequence. | |
1148 | * @param __q A seed generator function. | |
1149 | */ | |
05eeebfe | 1150 | template<typename _Sseq> |
15ecdcc6 PC |
1151 | void |
1152 | seed(_Sseq& __q) | |
05eeebfe | 1153 | { _M_b.seed(__q); } |
8e79468d BK |
1154 | |
1155 | /** | |
1156 | * @brief Gets a const reference to the underlying generator engine | |
1157 | * object. | |
1158 | */ | |
1159 | const _RandomNumberEngine& | |
18eeaec4 | 1160 | base() const noexcept |
8e79468d BK |
1161 | { return _M_b; } |
1162 | ||
1163 | /** | |
1164 | * @brief Gets the minimum value in the generated random number range. | |
8e79468d | 1165 | */ |
94a86be0 BK |
1166 | static constexpr result_type |
1167 | min() | |
8e79468d BK |
1168 | { return 0U; } |
1169 | ||
1170 | /** | |
1171 | * @brief Gets the maximum value in the generated random number range. | |
8e79468d | 1172 | */ |
94a86be0 BK |
1173 | static constexpr result_type |
1174 | max() | |
6855fe45 | 1175 | { return __detail::_Shift<_UIntType, __w>::__value - 1; } |
8e79468d BK |
1176 | |
1177 | /** | |
1178 | * @brief Discard a sequence of random numbers. | |
8e79468d BK |
1179 | */ |
1180 | void | |
1181 | discard(unsigned long long __z) | |
1182 | { | |
1183 | for (; __z != 0ULL; --__z) | |
1184 | (*this)(); | |
1185 | } | |
1186 | ||
1187 | /** | |
1188 | * @brief Gets the next value in the generated random number sequence. | |
1189 | */ | |
1190 | result_type | |
1191 | operator()(); | |
1192 | ||
1193 | /** | |
1194 | * @brief Compares two %independent_bits_engine random number generator | |
1195 | * objects of the same type for equality. | |
1196 | * | |
1197 | * @param __lhs A %independent_bits_engine random number generator | |
1198 | * object. | |
1199 | * @param __rhs Another %independent_bits_engine random number generator | |
1200 | * object. | |
1201 | * | |
fc05e1ba PC |
1202 | * @returns true if the infinite sequences of generated values |
1203 | * would be equal, false otherwise. | |
8e79468d BK |
1204 | */ |
1205 | friend bool | |
1206 | operator==(const independent_bits_engine& __lhs, | |
1207 | const independent_bits_engine& __rhs) | |
1208 | { return __lhs._M_b == __rhs._M_b; } | |
1209 | ||
1210 | /** | |
1211 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1212 | * random number generator engine @p __x from the input stream | |
1213 | * @p __is. | |
1214 | * | |
1215 | * @param __is An input stream. | |
1216 | * @param __x A %independent_bits_engine random number generator | |
1217 | * engine. | |
1218 | * | |
1219 | * @returns The input stream with the state of @p __x extracted or in | |
1220 | * an error state. | |
1221 | */ | |
1222 | template<typename _CharT, typename _Traits> | |
1223 | friend std::basic_istream<_CharT, _Traits>& | |
1224 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 1225 | std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1226 | __w, _UIntType>& __x) |
1227 | { | |
1228 | __is >> __x._M_b; | |
1229 | return __is; | |
1230 | } | |
1231 | ||
1232 | private: | |
1233 | _RandomNumberEngine _M_b; | |
1234 | }; | |
1235 | ||
fc05e1ba PC |
1236 | /** |
1237 | * @brief Compares two %independent_bits_engine random number generator | |
1238 | * objects of the same type for inequality. | |
1239 | * | |
1240 | * @param __lhs A %independent_bits_engine random number generator | |
1241 | * object. | |
1242 | * @param __rhs Another %independent_bits_engine random number generator | |
1243 | * object. | |
1244 | * | |
1245 | * @returns true if the infinite sequences of generated values | |
1246 | * would be different, false otherwise. | |
1247 | */ | |
1248 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType> | |
1249 | inline bool | |
1250 | operator!=(const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1251 | _UIntType>& __lhs, | |
1252 | const std::independent_bits_engine<_RandomNumberEngine, __w, | |
1253 | _UIntType>& __rhs) | |
1254 | { return !(__lhs == __rhs); } | |
1255 | ||
8e79468d BK |
1256 | /** |
1257 | * @brief Inserts the current state of a %independent_bits_engine random | |
1258 | * number generator engine @p __x into the output stream @p __os. | |
1259 | * | |
1260 | * @param __os An output stream. | |
1261 | * @param __x A %independent_bits_engine random number generator engine. | |
1262 | * | |
1263 | * @returns The output stream with the state of @p __x inserted or in | |
1264 | * an error state. | |
1265 | */ | |
1266 | template<typename _RandomNumberEngine, size_t __w, typename _UIntType, | |
1267 | typename _CharT, typename _Traits> | |
1268 | std::basic_ostream<_CharT, _Traits>& | |
1269 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, | |
94986f6d | 1270 | const std::independent_bits_engine<_RandomNumberEngine, |
8e79468d BK |
1271 | __w, _UIntType>& __x) |
1272 | { | |
1273 | __os << __x.base(); | |
1274 | return __os; | |
1275 | } | |
1276 | ||
fc05e1ba | 1277 | |
8e79468d BK |
1278 | /** |
1279 | * @brief Produces random numbers by combining random numbers from some | |
1280 | * base engine to produce random numbers with a specifies number of bits | |
1281 | * @p __w. | |
1282 | */ | |
1283 | template<typename _RandomNumberEngine, size_t __k> | |
1284 | class shuffle_order_engine | |
1285 | { | |
a20c8540 | 1286 | static_assert(1u <= __k, "template argument substituting " |
f6d08b43 | 1287 | "__k out of bound"); |
8e79468d BK |
1288 | |
1289 | public: | |
1290 | /** The type of the generated random value. */ | |
1291 | typedef typename _RandomNumberEngine::result_type result_type; | |
1292 | ||
94a86be0 | 1293 | static constexpr size_t table_size = __k; |
8e79468d BK |
1294 | |
1295 | /** | |
1296 | * @brief Constructs a default %shuffle_order_engine engine. | |
1297 | * | |
1298 | * The underlying engine is default constructed as well. | |
1299 | */ | |
1300 | shuffle_order_engine() | |
1301 | : _M_b() | |
1302 | { _M_initialize(); } | |
1303 | ||
1304 | /** | |
1305 | * @brief Copy constructs a %shuffle_order_engine engine. | |
1306 | * | |
1307 | * Copies an existing base class random number generator. | |
93c66bc6 | 1308 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1309 | */ |
1310 | explicit | |
93c66bc6 BK |
1311 | shuffle_order_engine(const _RandomNumberEngine& __rng) |
1312 | : _M_b(__rng) | |
8e79468d BK |
1313 | { _M_initialize(); } |
1314 | ||
1315 | /** | |
1316 | * @brief Move constructs a %shuffle_order_engine engine. | |
1317 | * | |
1318 | * Copies an existing base class random number generator. | |
93c66bc6 | 1319 | * @param __rng An existing (base class) engine object. |
8e79468d BK |
1320 | */ |
1321 | explicit | |
93c66bc6 BK |
1322 | shuffle_order_engine(_RandomNumberEngine&& __rng) |
1323 | : _M_b(std::move(__rng)) | |
8e79468d BK |
1324 | { _M_initialize(); } |
1325 | ||
1326 | /** | |
1327 | * @brief Seed constructs a %shuffle_order_engine engine. | |
1328 | * | |
1329 | * Constructs the underlying generator engine seeded with @p __s. | |
1330 | * @param __s A seed value for the base class engine. | |
1331 | */ | |
1332 | explicit | |
1333 | shuffle_order_engine(result_type __s) | |
1334 | : _M_b(__s) | |
1335 | { _M_initialize(); } | |
1336 | ||
1337 | /** | |
1338 | * @brief Generator construct a %shuffle_order_engine engine. | |
1339 | * | |
1340 | * @param __q A seed sequence. | |
1341 | */ | |
05eeebfe PC |
1342 | template<typename _Sseq, typename = typename |
1343 | std::enable_if<!std::is_same<_Sseq, shuffle_order_engine>::value | |
1344 | && !std::is_same<_Sseq, _RandomNumberEngine>::value> | |
1345 | ::type> | |
15ecdcc6 PC |
1346 | explicit |
1347 | shuffle_order_engine(_Sseq& __q) | |
1348 | : _M_b(__q) | |
1349 | { _M_initialize(); } | |
8e79468d BK |
1350 | |
1351 | /** | |
94986f6d PC |
1352 | * @brief Reseeds the %shuffle_order_engine object with the default seed |
1353 | for the underlying base class generator engine. | |
8e79468d BK |
1354 | */ |
1355 | void | |
1356 | seed() | |
1357 | { | |
1358 | _M_b.seed(); | |
1359 | _M_initialize(); | |
1360 | } | |
1361 | ||
1362 | /** | |
1363 | * @brief Reseeds the %shuffle_order_engine object with the default seed | |
1364 | * for the underlying base class generator engine. | |
1365 | */ | |
1366 | void | |
1367 | seed(result_type __s) | |
1368 | { | |
1369 | _M_b.seed(__s); | |
1370 | _M_initialize(); | |
1371 | } | |
1372 | ||
1373 | /** | |
1374 | * @brief Reseeds the %shuffle_order_engine object with the given seed | |
1375 | * sequence. | |
1376 | * @param __q A seed generator function. | |
1377 | */ | |
05eeebfe | 1378 | template<typename _Sseq> |
15ecdcc6 PC |
1379 | void |
1380 | seed(_Sseq& __q) | |
1381 | { | |
05eeebfe | 1382 | _M_b.seed(__q); |
15ecdcc6 PC |
1383 | _M_initialize(); |
1384 | } | |
8e79468d BK |
1385 | |
1386 | /** | |
1387 | * Gets a const reference to the underlying generator engine object. | |
1388 | */ | |
1389 | const _RandomNumberEngine& | |
18eeaec4 | 1390 | base() const noexcept |
8e79468d BK |
1391 | { return _M_b; } |
1392 | ||
1393 | /** | |
1394 | * Gets the minimum value in the generated random number range. | |
8e79468d | 1395 | */ |
94a86be0 BK |
1396 | static constexpr result_type |
1397 | min() | |
1398 | { return _RandomNumberEngine::min(); } | |
8e79468d BK |
1399 | |
1400 | /** | |
1401 | * Gets the maximum value in the generated random number range. | |
8e79468d | 1402 | */ |
94a86be0 BK |
1403 | static constexpr result_type |
1404 | max() | |
1405 | { return _RandomNumberEngine::max(); } | |
8e79468d BK |
1406 | |
1407 | /** | |
1408 | * Discard a sequence of random numbers. | |
8e79468d BK |
1409 | */ |
1410 | void | |
1411 | discard(unsigned long long __z) | |
1412 | { | |
1413 | for (; __z != 0ULL; --__z) | |
1414 | (*this)(); | |
1415 | } | |
1416 | ||
1417 | /** | |
1418 | * Gets the next value in the generated random number sequence. | |
1419 | */ | |
1420 | result_type | |
1421 | operator()(); | |
1422 | ||
1423 | /** | |
1424 | * Compares two %shuffle_order_engine random number generator objects | |
1425 | * of the same type for equality. | |
1426 | * | |
1427 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1428 | * @param __rhs Another %shuffle_order_engine random number generator | |
1429 | * object. | |
1430 | * | |
fc05e1ba PC |
1431 | * @returns true if the infinite sequences of generated values |
1432 | * would be equal, false otherwise. | |
1433 | */ | |
8e79468d BK |
1434 | friend bool |
1435 | operator==(const shuffle_order_engine& __lhs, | |
1436 | const shuffle_order_engine& __rhs) | |
31645179 PC |
1437 | { return (__lhs._M_b == __rhs._M_b |
1438 | && std::equal(__lhs._M_v, __lhs._M_v + __k, __rhs._M_v) | |
1439 | && __lhs._M_y == __rhs._M_y); } | |
8e79468d BK |
1440 | |
1441 | /** | |
1442 | * @brief Inserts the current state of a %shuffle_order_engine random | |
1443 | * number generator engine @p __x into the output stream | |
1444 | @p __os. | |
1445 | * | |
1446 | * @param __os An output stream. | |
1447 | * @param __x A %shuffle_order_engine random number generator engine. | |
1448 | * | |
1449 | * @returns The output stream with the state of @p __x inserted or in | |
1450 | * an error state. | |
1451 | */ | |
1452 | template<typename _RandomNumberEngine1, size_t __k1, | |
1453 | typename _CharT, typename _Traits> | |
1454 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 | 1455 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
94986f6d | 1456 | const std::shuffle_order_engine<_RandomNumberEngine1, |
93c66bc6 | 1457 | __k1>& __x); |
8e79468d BK |
1458 | |
1459 | /** | |
1460 | * @brief Extracts the current state of a % subtract_with_carry_engine | |
1461 | * random number generator engine @p __x from the input stream | |
1462 | * @p __is. | |
1463 | * | |
1464 | * @param __is An input stream. | |
1465 | * @param __x A %shuffle_order_engine random number generator engine. | |
1466 | * | |
1467 | * @returns The input stream with the state of @p __x extracted or in | |
1468 | * an error state. | |
1469 | */ | |
1470 | template<typename _RandomNumberEngine1, size_t __k1, | |
1471 | typename _CharT, typename _Traits> | |
1472 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
1473 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
1474 | std::shuffle_order_engine<_RandomNumberEngine1, __k1>& __x); | |
8e79468d BK |
1475 | |
1476 | private: | |
1477 | void _M_initialize() | |
1478 | { | |
1479 | for (size_t __i = 0; __i < __k; ++__i) | |
1480 | _M_v[__i] = _M_b(); | |
1481 | _M_y = _M_b(); | |
1482 | } | |
1483 | ||
1484 | _RandomNumberEngine _M_b; | |
1485 | result_type _M_v[__k]; | |
1486 | result_type _M_y; | |
1487 | }; | |
1488 | ||
fc05e1ba PC |
1489 | /** |
1490 | * Compares two %shuffle_order_engine random number generator objects | |
1491 | * of the same type for inequality. | |
1492 | * | |
1493 | * @param __lhs A %shuffle_order_engine random number generator object. | |
1494 | * @param __rhs Another %shuffle_order_engine random number generator | |
1495 | * object. | |
1496 | * | |
1497 | * @returns true if the infinite sequences of generated values | |
1498 | * would be different, false otherwise. | |
1499 | */ | |
1500 | template<typename _RandomNumberEngine, size_t __k> | |
1501 | inline bool | |
1502 | operator!=(const std::shuffle_order_engine<_RandomNumberEngine, | |
1503 | __k>& __lhs, | |
1504 | const std::shuffle_order_engine<_RandomNumberEngine, | |
1505 | __k>& __rhs) | |
1506 | { return !(__lhs == __rhs); } | |
1507 | ||
1508 | ||
8e79468d BK |
1509 | /** |
1510 | * The classic Minimum Standard rand0 of Lewis, Goodman, and Miller. | |
1511 | */ | |
1512 | typedef linear_congruential_engine<uint_fast32_t, 16807UL, 0UL, 2147483647UL> | |
1513 | minstd_rand0; | |
1514 | ||
1515 | /** | |
6cc5a790 | 1516 | * An alternative LCR (Lehmer Generator function). |
8e79468d BK |
1517 | */ |
1518 | typedef linear_congruential_engine<uint_fast32_t, 48271UL, 0UL, 2147483647UL> | |
1519 | minstd_rand; | |
1520 | ||
1521 | /** | |
1522 | * The classic Mersenne Twister. | |
1523 | * | |
1524 | * Reference: | |
2a60a9f6 BK |
1525 | * M. Matsumoto and T. Nishimura, Mersenne Twister: A 623-Dimensionally |
1526 | * Equidistributed Uniform Pseudo-Random Number Generator, ACM Transactions | |
8e79468d BK |
1527 | * on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30. |
1528 | */ | |
1529 | typedef mersenne_twister_engine< | |
1530 | uint_fast32_t, | |
1531 | 32, 624, 397, 31, | |
1532 | 0x9908b0dfUL, 11, | |
1533 | 0xffffffffUL, 7, | |
1534 | 0x9d2c5680UL, 15, | |
1535 | 0xefc60000UL, 18, 1812433253UL> mt19937; | |
1536 | ||
1537 | /** | |
1538 | * An alternative Mersenne Twister. | |
1539 | */ | |
1540 | typedef mersenne_twister_engine< | |
1541 | uint_fast64_t, | |
1542 | 64, 312, 156, 31, | |
1543 | 0xb5026f5aa96619e9ULL, 29, | |
1544 | 0x5555555555555555ULL, 17, | |
1545 | 0x71d67fffeda60000ULL, 37, | |
1546 | 0xfff7eee000000000ULL, 43, | |
1547 | 6364136223846793005ULL> mt19937_64; | |
1548 | ||
8e79468d BK |
1549 | typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24> |
1550 | ranlux24_base; | |
1551 | ||
8e79468d BK |
1552 | typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12> |
1553 | ranlux48_base; | |
1554 | ||
b94f4bef PC |
1555 | typedef discard_block_engine<ranlux24_base, 223, 23> ranlux24; |
1556 | ||
8e79468d BK |
1557 | typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48; |
1558 | ||
8e79468d BK |
1559 | typedef shuffle_order_engine<minstd_rand0, 256> knuth_b; |
1560 | ||
8e79468d BK |
1561 | typedef minstd_rand0 default_random_engine; |
1562 | ||
1563 | /** | |
1564 | * A standard interface to a platform-specific non-deterministic | |
1565 | * random number generator (if any are available). | |
1566 | */ | |
1567 | class random_device | |
1568 | { | |
1569 | public: | |
1570 | /** The type of the generated random value. */ | |
1571 | typedef unsigned int result_type; | |
1572 | ||
1573 | // constructors, destructors and member functions | |
1574 | ||
1575 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
1576 | ||
1577 | explicit | |
1578 | random_device(const std::string& __token = "/dev/urandom") | |
1579 | { | |
1580 | if ((__token != "/dev/urandom" && __token != "/dev/random") | |
1581 | || !(_M_file = std::fopen(__token.c_str(), "rb"))) | |
1582 | std::__throw_runtime_error(__N("random_device::" | |
1583 | "random_device(const std::string&)")); | |
1584 | } | |
1585 | ||
1586 | ~random_device() | |
1587 | { std::fclose(_M_file); } | |
1588 | ||
1589 | #else | |
1590 | ||
1591 | explicit | |
1592 | random_device(const std::string& __token = "mt19937") | |
1593 | : _M_mt(_M_strtoul(__token)) { } | |
1594 | ||
1595 | private: | |
1596 | static unsigned long | |
1597 | _M_strtoul(const std::string& __str) | |
1598 | { | |
1599 | unsigned long __ret = 5489UL; | |
1600 | if (__str != "mt19937") | |
1601 | { | |
1602 | const char* __nptr = __str.c_str(); | |
1603 | char* __endptr; | |
1604 | __ret = std::strtoul(__nptr, &__endptr, 0); | |
1605 | if (*__nptr == '\0' || *__endptr != '\0') | |
1606 | std::__throw_runtime_error(__N("random_device::_M_strtoul" | |
1607 | "(const std::string&)")); | |
1608 | } | |
1609 | return __ret; | |
1610 | } | |
1611 | ||
1612 | public: | |
1613 | ||
1614 | #endif | |
1615 | ||
deaf34a9 PC |
1616 | static constexpr result_type |
1617 | min() | |
8e79468d BK |
1618 | { return std::numeric_limits<result_type>::min(); } |
1619 | ||
deaf34a9 PC |
1620 | static constexpr result_type |
1621 | max() | |
8e79468d BK |
1622 | { return std::numeric_limits<result_type>::max(); } |
1623 | ||
1624 | double | |
18eeaec4 | 1625 | entropy() const noexcept |
8e79468d BK |
1626 | { return 0.0; } |
1627 | ||
1628 | result_type | |
1629 | operator()() | |
1630 | { | |
1631 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
1632 | result_type __ret; | |
1633 | std::fread(reinterpret_cast<void*>(&__ret), sizeof(result_type), | |
1634 | 1, _M_file); | |
1635 | return __ret; | |
1636 | #else | |
1637 | return _M_mt(); | |
1638 | #endif | |
1639 | } | |
1640 | ||
1641 | // No copy functions. | |
1642 | random_device(const random_device&) = delete; | |
1643 | void operator=(const random_device&) = delete; | |
1644 | ||
1645 | private: | |
1646 | ||
1647 | #ifdef _GLIBCXX_USE_RANDOM_TR1 | |
1648 | FILE* _M_file; | |
1649 | #else | |
1650 | mt19937 _M_mt; | |
1651 | #endif | |
1652 | }; | |
1653 | ||
037181bc | 1654 | /* @} */ // group random_generators |
8e79468d BK |
1655 | |
1656 | /** | |
037181bc BK |
1657 | * @addtogroup random_distributions Random Number Distributions |
1658 | * @ingroup random | |
8e79468d BK |
1659 | * @{ |
1660 | */ | |
1661 | ||
1662 | /** | |
94a86be0 | 1663 | * @addtogroup random_distributions_uniform Uniform Distributions |
037181bc | 1664 | * @ingroup random_distributions |
8e79468d BK |
1665 | * @{ |
1666 | */ | |
1667 | ||
1668 | /** | |
1669 | * @brief Uniform discrete distribution for random numbers. | |
1670 | * A discrete random distribution on the range @f$[min, max]@f$ with equal | |
1671 | * probability throughout the range. | |
1672 | */ | |
1673 | template<typename _IntType = int> | |
1674 | class uniform_int_distribution | |
1675 | { | |
77e3c516 PC |
1676 | static_assert(std::is_integral<_IntType>::value, |
1677 | "template argument not an integral type"); | |
8e79468d BK |
1678 | |
1679 | public: | |
1680 | /** The type of the range of the distribution. */ | |
1681 | typedef _IntType result_type; | |
1682 | /** Parameter type. */ | |
1683 | struct param_type | |
1684 | { | |
1685 | typedef uniform_int_distribution<_IntType> distribution_type; | |
1686 | ||
1687 | explicit | |
9b88236b PC |
1688 | param_type(_IntType __a = 0, |
1689 | _IntType __b = std::numeric_limits<_IntType>::max()) | |
8e79468d BK |
1690 | : _M_a(__a), _M_b(__b) |
1691 | { | |
1692 | _GLIBCXX_DEBUG_ASSERT(_M_a <= _M_b); | |
1693 | } | |
1694 | ||
1695 | result_type | |
1696 | a() const | |
1697 | { return _M_a; } | |
1698 | ||
1699 | result_type | |
1700 | b() const | |
1701 | { return _M_b; } | |
1702 | ||
fc05e1ba PC |
1703 | friend bool |
1704 | operator==(const param_type& __p1, const param_type& __p2) | |
1705 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
1706 | ||
8e79468d BK |
1707 | private: |
1708 | _IntType _M_a; | |
1709 | _IntType _M_b; | |
1710 | }; | |
1711 | ||
1712 | public: | |
1713 | /** | |
1714 | * @brief Constructs a uniform distribution object. | |
1715 | */ | |
1716 | explicit | |
9b88236b PC |
1717 | uniform_int_distribution(_IntType __a = 0, |
1718 | _IntType __b = std::numeric_limits<_IntType>::max()) | |
8e79468d BK |
1719 | : _M_param(__a, __b) |
1720 | { } | |
1721 | ||
1722 | explicit | |
1723 | uniform_int_distribution(const param_type& __p) | |
1724 | : _M_param(__p) | |
1725 | { } | |
1726 | ||
1727 | /** | |
1728 | * @brief Resets the distribution state. | |
1729 | * | |
1730 | * Does nothing for the uniform integer distribution. | |
1731 | */ | |
1732 | void | |
1733 | reset() { } | |
1734 | ||
1735 | result_type | |
1736 | a() const | |
1737 | { return _M_param.a(); } | |
1738 | ||
1739 | result_type | |
1740 | b() const | |
1741 | { return _M_param.b(); } | |
1742 | ||
8e79468d BK |
1743 | /** |
1744 | * @brief Returns the parameter set of the distribution. | |
1745 | */ | |
1746 | param_type | |
1747 | param() const | |
1748 | { return _M_param; } | |
1749 | ||
1750 | /** | |
1751 | * @brief Sets the parameter set of the distribution. | |
1752 | * @param __param The new parameter set of the distribution. | |
1753 | */ | |
1754 | void | |
1755 | param(const param_type& __param) | |
1756 | { _M_param = __param; } | |
1757 | ||
1758 | /** | |
247d8075 PC |
1759 | * @brief Returns the inclusive lower bound of the distribution range. |
1760 | */ | |
1761 | result_type | |
1762 | min() const | |
1763 | { return this->a(); } | |
1764 | ||
1765 | /** | |
1766 | * @brief Returns the inclusive upper bound of the distribution range. | |
1767 | */ | |
1768 | result_type | |
1769 | max() const | |
1770 | { return this->b(); } | |
1771 | ||
1772 | /** | |
1773 | * @brief Generating functions. | |
8e79468d BK |
1774 | */ |
1775 | template<typename _UniformRandomNumberGenerator> | |
1776 | result_type | |
1777 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 1778 | { return this->operator()(__urng, this->param()); } |
8e79468d | 1779 | |
8e79468d BK |
1780 | template<typename _UniformRandomNumberGenerator> |
1781 | result_type | |
1782 | operator()(_UniformRandomNumberGenerator& __urng, | |
9b88236b | 1783 | const param_type& __p); |
8e79468d BK |
1784 | |
1785 | param_type _M_param; | |
1786 | }; | |
1787 | ||
fc05e1ba PC |
1788 | /** |
1789 | * @brief Return true if two uniform integer distributions have | |
1790 | * the same parameters. | |
1791 | */ | |
1792 | template<typename _IntType> | |
1793 | inline bool | |
1794 | operator==(const std::uniform_int_distribution<_IntType>& __d1, | |
1795 | const std::uniform_int_distribution<_IntType>& __d2) | |
1796 | { return __d1.param() == __d2.param(); } | |
1797 | ||
1798 | /** | |
1799 | * @brief Return true if two uniform integer distributions have | |
1800 | * different parameters. | |
1801 | */ | |
1802 | template<typename _IntType> | |
1803 | inline bool | |
1804 | operator!=(const std::uniform_int_distribution<_IntType>& __d1, | |
1805 | const std::uniform_int_distribution<_IntType>& __d2) | |
1806 | { return !(__d1 == __d2); } | |
1807 | ||
8e79468d BK |
1808 | /** |
1809 | * @brief Inserts a %uniform_int_distribution random number | |
1810 | * distribution @p __x into the output stream @p os. | |
1811 | * | |
1812 | * @param __os An output stream. | |
1813 | * @param __x A %uniform_int_distribution random number distribution. | |
1814 | * | |
1815 | * @returns The output stream with the state of @p __x inserted or in | |
1816 | * an error state. | |
1817 | */ | |
1818 | template<typename _IntType, typename _CharT, typename _Traits> | |
1819 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
1820 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
1821 | const std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1822 | |
1823 | /** | |
1824 | * @brief Extracts a %uniform_int_distribution random number distribution | |
1825 | * @p __x from the input stream @p __is. | |
1826 | * | |
1827 | * @param __is An input stream. | |
1828 | * @param __x A %uniform_int_distribution random number generator engine. | |
1829 | * | |
1830 | * @returns The input stream with @p __x extracted or in an error state. | |
1831 | */ | |
1832 | template<typename _IntType, typename _CharT, typename _Traits> | |
1833 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
1834 | operator>>(std::basic_istream<_CharT, _Traits>&, |
1835 | std::uniform_int_distribution<_IntType>&); | |
8e79468d BK |
1836 | |
1837 | ||
1838 | /** | |
1839 | * @brief Uniform continuous distribution for random numbers. | |
1840 | * | |
1841 | * A continuous random distribution on the range [min, max) with equal | |
1842 | * probability throughout the range. The URNG should be real-valued and | |
1843 | * deliver number in the range [0, 1). | |
1844 | */ | |
1845 | template<typename _RealType = double> | |
1846 | class uniform_real_distribution | |
1847 | { | |
77e3c516 PC |
1848 | static_assert(std::is_floating_point<_RealType>::value, |
1849 | "template argument not a floating point type"); | |
1850 | ||
8e79468d BK |
1851 | public: |
1852 | /** The type of the range of the distribution. */ | |
1853 | typedef _RealType result_type; | |
1854 | /** Parameter type. */ | |
1855 | struct param_type | |
1856 | { | |
1857 | typedef uniform_real_distribution<_RealType> distribution_type; | |
1858 | ||
1859 | explicit | |
1860 | param_type(_RealType __a = _RealType(0), | |
1861 | _RealType __b = _RealType(1)) | |
1862 | : _M_a(__a), _M_b(__b) | |
1863 | { | |
1864 | _GLIBCXX_DEBUG_ASSERT(_M_a <= _M_b); | |
1865 | } | |
1866 | ||
1867 | result_type | |
1868 | a() const | |
1869 | { return _M_a; } | |
1870 | ||
1871 | result_type | |
1872 | b() const | |
1873 | { return _M_b; } | |
1874 | ||
fc05e1ba PC |
1875 | friend bool |
1876 | operator==(const param_type& __p1, const param_type& __p2) | |
1877 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
1878 | ||
8e79468d BK |
1879 | private: |
1880 | _RealType _M_a; | |
1881 | _RealType _M_b; | |
1882 | }; | |
1883 | ||
1884 | public: | |
1885 | /** | |
1886 | * @brief Constructs a uniform_real_distribution object. | |
1887 | * | |
93c66bc6 BK |
1888 | * @param __a [IN] The lower bound of the distribution. |
1889 | * @param __b [IN] The upper bound of the distribution. | |
8e79468d BK |
1890 | */ |
1891 | explicit | |
1892 | uniform_real_distribution(_RealType __a = _RealType(0), | |
1893 | _RealType __b = _RealType(1)) | |
1894 | : _M_param(__a, __b) | |
1895 | { } | |
1896 | ||
1897 | explicit | |
1898 | uniform_real_distribution(const param_type& __p) | |
1899 | : _M_param(__p) | |
1900 | { } | |
1901 | ||
1902 | /** | |
1903 | * @brief Resets the distribution state. | |
1904 | * | |
1905 | * Does nothing for the uniform real distribution. | |
1906 | */ | |
1907 | void | |
1908 | reset() { } | |
1909 | ||
1910 | result_type | |
1911 | a() const | |
1912 | { return _M_param.a(); } | |
1913 | ||
1914 | result_type | |
1915 | b() const | |
1916 | { return _M_param.b(); } | |
1917 | ||
247d8075 PC |
1918 | /** |
1919 | * @brief Returns the parameter set of the distribution. | |
1920 | */ | |
1921 | param_type | |
1922 | param() const | |
1923 | { return _M_param; } | |
1924 | ||
1925 | /** | |
1926 | * @brief Sets the parameter set of the distribution. | |
1927 | * @param __param The new parameter set of the distribution. | |
1928 | */ | |
1929 | void | |
1930 | param(const param_type& __param) | |
1931 | { _M_param = __param; } | |
1932 | ||
8e79468d BK |
1933 | /** |
1934 | * @brief Returns the inclusive lower bound of the distribution range. | |
1935 | */ | |
1936 | result_type | |
1937 | min() const | |
1938 | { return this->a(); } | |
1939 | ||
1940 | /** | |
1941 | * @brief Returns the inclusive upper bound of the distribution range. | |
1942 | */ | |
1943 | result_type | |
1944 | max() const | |
1945 | { return this->b(); } | |
1946 | ||
1947 | /** | |
247d8075 | 1948 | * @brief Generating functions. |
8e79468d | 1949 | */ |
8e79468d BK |
1950 | template<typename _UniformRandomNumberGenerator> |
1951 | result_type | |
1952 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 1953 | { return this->operator()(__urng, this->param()); } |
8e79468d BK |
1954 | |
1955 | template<typename _UniformRandomNumberGenerator> | |
1956 | result_type | |
1957 | operator()(_UniformRandomNumberGenerator& __urng, | |
1958 | const param_type& __p) | |
1959 | { | |
1960 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
1961 | __aurng(__urng); | |
1962 | return (__aurng() * (__p.b() - __p.a())) + __p.a(); | |
1963 | } | |
1964 | ||
1965 | private: | |
1966 | param_type _M_param; | |
1967 | }; | |
1968 | ||
fc05e1ba PC |
1969 | /** |
1970 | * @brief Return true if two uniform real distributions have | |
1971 | * the same parameters. | |
1972 | */ | |
1973 | template<typename _IntType> | |
1974 | inline bool | |
1975 | operator==(const std::uniform_real_distribution<_IntType>& __d1, | |
1976 | const std::uniform_real_distribution<_IntType>& __d2) | |
1977 | { return __d1.param() == __d2.param(); } | |
1978 | ||
1979 | /** | |
1980 | * @brief Return true if two uniform real distributions have | |
1981 | * different parameters. | |
1982 | */ | |
1983 | template<typename _IntType> | |
1984 | inline bool | |
1985 | operator!=(const std::uniform_real_distribution<_IntType>& __d1, | |
1986 | const std::uniform_real_distribution<_IntType>& __d2) | |
1987 | { return !(__d1 == __d2); } | |
1988 | ||
8e79468d BK |
1989 | /** |
1990 | * @brief Inserts a %uniform_real_distribution random number | |
1991 | * distribution @p __x into the output stream @p __os. | |
1992 | * | |
1993 | * @param __os An output stream. | |
1994 | * @param __x A %uniform_real_distribution random number distribution. | |
1995 | * | |
1996 | * @returns The output stream with the state of @p __x inserted or in | |
1997 | * an error state. | |
1998 | */ | |
1999 | template<typename _RealType, typename _CharT, typename _Traits> | |
2000 | std::basic_ostream<_CharT, _Traits>& | |
94986f6d PC |
2001 | operator<<(std::basic_ostream<_CharT, _Traits>&, |
2002 | const std::uniform_real_distribution<_RealType>&); | |
8e79468d BK |
2003 | |
2004 | /** | |
2005 | * @brief Extracts a %uniform_real_distribution random number distribution | |
2006 | * @p __x from the input stream @p __is. | |
2007 | * | |
2008 | * @param __is An input stream. | |
2009 | * @param __x A %uniform_real_distribution random number generator engine. | |
2010 | * | |
2011 | * @returns The input stream with @p __x extracted or in an error state. | |
2012 | */ | |
2013 | template<typename _RealType, typename _CharT, typename _Traits> | |
2014 | std::basic_istream<_CharT, _Traits>& | |
94986f6d PC |
2015 | operator>>(std::basic_istream<_CharT, _Traits>&, |
2016 | std::uniform_real_distribution<_RealType>&); | |
8e79468d | 2017 | |
037181bc | 2018 | /* @} */ // group random_distributions_uniform |
8e79468d BK |
2019 | |
2020 | /** | |
94a86be0 | 2021 | * @addtogroup random_distributions_normal Normal Distributions |
037181bc | 2022 | * @ingroup random_distributions |
8e79468d BK |
2023 | * @{ |
2024 | */ | |
2025 | ||
2026 | /** | |
2027 | * @brief A normal continuous distribution for random numbers. | |
2028 | * | |
2029 | * The formula for the normal probability density function is | |
6cc5a790 BK |
2030 | * @f[ |
2031 | * p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}} | |
2032 | * e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } | |
2033 | * @f] | |
8e79468d BK |
2034 | */ |
2035 | template<typename _RealType = double> | |
2036 | class normal_distribution | |
2037 | { | |
77e3c516 PC |
2038 | static_assert(std::is_floating_point<_RealType>::value, |
2039 | "template argument not a floating point type"); | |
2040 | ||
8e79468d BK |
2041 | public: |
2042 | /** The type of the range of the distribution. */ | |
2043 | typedef _RealType result_type; | |
2044 | /** Parameter type. */ | |
2045 | struct param_type | |
2046 | { | |
2047 | typedef normal_distribution<_RealType> distribution_type; | |
2048 | ||
2049 | explicit | |
2050 | param_type(_RealType __mean = _RealType(0), | |
2051 | _RealType __stddev = _RealType(1)) | |
2052 | : _M_mean(__mean), _M_stddev(__stddev) | |
2053 | { | |
2054 | _GLIBCXX_DEBUG_ASSERT(_M_stddev > _RealType(0)); | |
2055 | } | |
2056 | ||
2057 | _RealType | |
2058 | mean() const | |
2059 | { return _M_mean; } | |
2060 | ||
2061 | _RealType | |
2062 | stddev() const | |
2063 | { return _M_stddev; } | |
2064 | ||
fc05e1ba PC |
2065 | friend bool |
2066 | operator==(const param_type& __p1, const param_type& __p2) | |
2067 | { return (__p1._M_mean == __p2._M_mean | |
2068 | && __p1._M_stddev == __p2._M_stddev); } | |
2069 | ||
8e79468d BK |
2070 | private: |
2071 | _RealType _M_mean; | |
2072 | _RealType _M_stddev; | |
2073 | }; | |
2074 | ||
2075 | public: | |
2076 | /** | |
6cc5a790 | 2077 | * Constructs a normal distribution with parameters @f$mean@f$ and |
8e79468d BK |
2078 | * standard deviation. |
2079 | */ | |
2080 | explicit | |
2081 | normal_distribution(result_type __mean = result_type(0), | |
2082 | result_type __stddev = result_type(1)) | |
2083 | : _M_param(__mean, __stddev), _M_saved_available(false) | |
2084 | { } | |
2085 | ||
2086 | explicit | |
2087 | normal_distribution(const param_type& __p) | |
2088 | : _M_param(__p), _M_saved_available(false) | |
2089 | { } | |
2090 | ||
2091 | /** | |
2092 | * @brief Resets the distribution state. | |
2093 | */ | |
2094 | void | |
2095 | reset() | |
2096 | { _M_saved_available = false; } | |
2097 | ||
2098 | /** | |
2099 | * @brief Returns the mean of the distribution. | |
2100 | */ | |
2101 | _RealType | |
2102 | mean() const | |
2103 | { return _M_param.mean(); } | |
2104 | ||
2105 | /** | |
2106 | * @brief Returns the standard deviation of the distribution. | |
2107 | */ | |
2108 | _RealType | |
2109 | stddev() const | |
2110 | { return _M_param.stddev(); } | |
2111 | ||
2112 | /** | |
2113 | * @brief Returns the parameter set of the distribution. | |
2114 | */ | |
2115 | param_type | |
2116 | param() const | |
2117 | { return _M_param; } | |
2118 | ||
2119 | /** | |
2120 | * @brief Sets the parameter set of the distribution. | |
2121 | * @param __param The new parameter set of the distribution. | |
2122 | */ | |
2123 | void | |
2124 | param(const param_type& __param) | |
2125 | { _M_param = __param; } | |
2126 | ||
2127 | /** | |
2128 | * @brief Returns the greatest lower bound value of the distribution. | |
2129 | */ | |
2130 | result_type | |
2131 | min() const | |
2132 | { return std::numeric_limits<result_type>::min(); } | |
2133 | ||
2134 | /** | |
2135 | * @brief Returns the least upper bound value of the distribution. | |
2136 | */ | |
2137 | result_type | |
2138 | max() const | |
2139 | { return std::numeric_limits<result_type>::max(); } | |
2140 | ||
247d8075 PC |
2141 | /** |
2142 | * @brief Generating functions. | |
2143 | */ | |
8e79468d BK |
2144 | template<typename _UniformRandomNumberGenerator> |
2145 | result_type | |
2146 | operator()(_UniformRandomNumberGenerator& __urng) | |
2147 | { return this->operator()(__urng, this->param()); } | |
2148 | ||
2149 | template<typename _UniformRandomNumberGenerator> | |
2150 | result_type | |
2151 | operator()(_UniformRandomNumberGenerator& __urng, | |
2152 | const param_type& __p); | |
2153 | ||
fc05e1ba PC |
2154 | /** |
2155 | * @brief Return true if two normal distributions have | |
2156 | * the same parameters and the sequences that would | |
2157 | * be generated are equal. | |
2158 | */ | |
2159 | template<typename _RealType1> | |
2160 | friend bool | |
2161 | operator==(const std::normal_distribution<_RealType1>& __d1, | |
2162 | const std::normal_distribution<_RealType1>& __d2); | |
2163 | ||
8e79468d BK |
2164 | /** |
2165 | * @brief Inserts a %normal_distribution random number distribution | |
2166 | * @p __x into the output stream @p __os. | |
2167 | * | |
2168 | * @param __os An output stream. | |
2169 | * @param __x A %normal_distribution random number distribution. | |
2170 | * | |
2171 | * @returns The output stream with the state of @p __x inserted or in | |
2172 | * an error state. | |
2173 | */ | |
2174 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2175 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2176 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2177 | const std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2178 | |
2179 | /** | |
2180 | * @brief Extracts a %normal_distribution random number distribution | |
2181 | * @p __x from the input stream @p __is. | |
2182 | * | |
2183 | * @param __is An input stream. | |
2184 | * @param __x A %normal_distribution random number generator engine. | |
2185 | * | |
2186 | * @returns The input stream with @p __x extracted or in an error | |
2187 | * state. | |
2188 | */ | |
2189 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2190 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2191 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2192 | std::normal_distribution<_RealType1>& __x); | |
8e79468d BK |
2193 | |
2194 | private: | |
2195 | param_type _M_param; | |
2196 | result_type _M_saved; | |
2197 | bool _M_saved_available; | |
2198 | }; | |
2199 | ||
fc05e1ba PC |
2200 | /** |
2201 | * @brief Return true if two normal distributions are different. | |
2202 | */ | |
2203 | template<typename _RealType> | |
2204 | inline bool | |
2205 | operator!=(const std::normal_distribution<_RealType>& __d1, | |
2206 | const std::normal_distribution<_RealType>& __d2) | |
2207 | { return !(__d1 == __d2); } | |
2208 | ||
8e79468d BK |
2209 | |
2210 | /** | |
2211 | * @brief A lognormal_distribution random number distribution. | |
2212 | * | |
2213 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
2214 | * @f[ |
2215 | * p(x|m,s) = \frac{1}{sx\sqrt{2\pi}} | |
2216 | * \exp{-\frac{(\ln{x} - m)^2}{2s^2}} | |
2217 | * @f] | |
8e79468d BK |
2218 | */ |
2219 | template<typename _RealType = double> | |
2220 | class lognormal_distribution | |
2221 | { | |
77e3c516 PC |
2222 | static_assert(std::is_floating_point<_RealType>::value, |
2223 | "template argument not a floating point type"); | |
2224 | ||
8e79468d BK |
2225 | public: |
2226 | /** The type of the range of the distribution. */ | |
2227 | typedef _RealType result_type; | |
2228 | /** Parameter type. */ | |
2229 | struct param_type | |
2230 | { | |
2231 | typedef lognormal_distribution<_RealType> distribution_type; | |
2232 | ||
2233 | explicit | |
2234 | param_type(_RealType __m = _RealType(0), | |
2235 | _RealType __s = _RealType(1)) | |
2236 | : _M_m(__m), _M_s(__s) | |
2237 | { } | |
2238 | ||
2239 | _RealType | |
2240 | m() const | |
2241 | { return _M_m; } | |
2242 | ||
2243 | _RealType | |
2244 | s() const | |
2245 | { return _M_s; } | |
2246 | ||
fc05e1ba PC |
2247 | friend bool |
2248 | operator==(const param_type& __p1, const param_type& __p2) | |
2249 | { return __p1._M_m == __p2._M_m && __p1._M_s == __p2._M_s; } | |
2250 | ||
8e79468d BK |
2251 | private: |
2252 | _RealType _M_m; | |
2253 | _RealType _M_s; | |
2254 | }; | |
2255 | ||
2256 | explicit | |
2257 | lognormal_distribution(_RealType __m = _RealType(0), | |
2258 | _RealType __s = _RealType(1)) | |
b01630bb | 2259 | : _M_param(__m, __s), _M_nd() |
8e79468d BK |
2260 | { } |
2261 | ||
2262 | explicit | |
2263 | lognormal_distribution(const param_type& __p) | |
b01630bb | 2264 | : _M_param(__p), _M_nd() |
8e79468d BK |
2265 | { } |
2266 | ||
2267 | /** | |
2268 | * Resets the distribution state. | |
2269 | */ | |
2270 | void | |
2271 | reset() | |
b01630bb | 2272 | { _M_nd.reset(); } |
8e79468d BK |
2273 | |
2274 | /** | |
2275 | * | |
2276 | */ | |
2277 | _RealType | |
2278 | m() const | |
2279 | { return _M_param.m(); } | |
2280 | ||
2281 | _RealType | |
2282 | s() const | |
2283 | { return _M_param.s(); } | |
2284 | ||
2285 | /** | |
2286 | * @brief Returns the parameter set of the distribution. | |
2287 | */ | |
2288 | param_type | |
2289 | param() const | |
2290 | { return _M_param; } | |
2291 | ||
2292 | /** | |
2293 | * @brief Sets the parameter set of the distribution. | |
2294 | * @param __param The new parameter set of the distribution. | |
2295 | */ | |
2296 | void | |
2297 | param(const param_type& __param) | |
2298 | { _M_param = __param; } | |
2299 | ||
2300 | /** | |
2301 | * @brief Returns the greatest lower bound value of the distribution. | |
2302 | */ | |
2303 | result_type | |
2304 | min() const | |
2305 | { return result_type(0); } | |
2306 | ||
2307 | /** | |
2308 | * @brief Returns the least upper bound value of the distribution. | |
2309 | */ | |
2310 | result_type | |
2311 | max() const | |
2312 | { return std::numeric_limits<result_type>::max(); } | |
2313 | ||
247d8075 PC |
2314 | /** |
2315 | * @brief Generating functions. | |
2316 | */ | |
8e79468d BK |
2317 | template<typename _UniformRandomNumberGenerator> |
2318 | result_type | |
2319 | operator()(_UniformRandomNumberGenerator& __urng) | |
2320 | { return this->operator()(__urng, this->param()); } | |
2321 | ||
2322 | template<typename _UniformRandomNumberGenerator> | |
2323 | result_type | |
2324 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb PC |
2325 | const param_type& __p) |
2326 | { return std::exp(__p.s() * _M_nd(__urng) + __p.m()); } | |
8e79468d | 2327 | |
fc05e1ba PC |
2328 | /** |
2329 | * @brief Return true if two lognormal distributions have | |
2330 | * the same parameters and the sequences that would | |
2331 | * be generated are equal. | |
2332 | */ | |
a30e18c1 MG |
2333 | friend bool |
2334 | operator==(const lognormal_distribution& __d1, | |
2335 | const lognormal_distribution& __d2) | |
2336 | { return (__d1.param() == __d2.param() | |
2337 | && __d1._M_nd == __d2._M_nd); } | |
fc05e1ba | 2338 | |
e1923769 ESR |
2339 | /** |
2340 | * @brief Inserts a %lognormal_distribution random number distribution | |
2341 | * @p __x into the output stream @p __os. | |
2342 | * | |
2343 | * @param __os An output stream. | |
2344 | * @param __x A %lognormal_distribution random number distribution. | |
2345 | * | |
2346 | * @returns The output stream with the state of @p __x inserted or in | |
2347 | * an error state. | |
2348 | */ | |
2349 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2350 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2351 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2352 | const std::lognormal_distribution<_RealType1>& __x); | |
e1923769 ESR |
2353 | |
2354 | /** | |
2355 | * @brief Extracts a %lognormal_distribution random number distribution | |
2356 | * @p __x from the input stream @p __is. | |
2357 | * | |
2358 | * @param __is An input stream. | |
2359 | * @param __x A %lognormal_distribution random number | |
2360 | * generator engine. | |
2361 | * | |
2362 | * @returns The input stream with @p __x extracted or in an error state. | |
2363 | */ | |
2364 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2365 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2366 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2367 | std::lognormal_distribution<_RealType1>& __x); | |
e1923769 | 2368 | |
8e79468d BK |
2369 | private: |
2370 | param_type _M_param; | |
b01630bb | 2371 | |
f9b09dec | 2372 | std::normal_distribution<result_type> _M_nd; |
8e79468d BK |
2373 | }; |
2374 | ||
fc05e1ba PC |
2375 | /** |
2376 | * @brief Return true if two lognormal distributions are different. | |
2377 | */ | |
2378 | template<typename _RealType> | |
2379 | inline bool | |
2380 | operator!=(const std::lognormal_distribution<_RealType>& __d1, | |
2381 | const std::lognormal_distribution<_RealType>& __d2) | |
2382 | { return !(__d1 == __d2); } | |
2383 | ||
2384 | ||
f9b09dec PC |
2385 | /** |
2386 | * @brief A gamma continuous distribution for random numbers. | |
2387 | * | |
6cc5a790 BK |
2388 | * The formula for the gamma probability density function is: |
2389 | * @f[ | |
2390 | * p(x|\alpha,\beta) = \frac{1}{\beta\Gamma(\alpha)} | |
2391 | * (x/\beta)^{\alpha - 1} e^{-x/\beta} | |
2392 | * @f] | |
f9b09dec PC |
2393 | */ |
2394 | template<typename _RealType = double> | |
2395 | class gamma_distribution | |
2396 | { | |
77e3c516 PC |
2397 | static_assert(std::is_floating_point<_RealType>::value, |
2398 | "template argument not a floating point type"); | |
2399 | ||
f9b09dec PC |
2400 | public: |
2401 | /** The type of the range of the distribution. */ | |
2402 | typedef _RealType result_type; | |
2403 | /** Parameter type. */ | |
2404 | struct param_type | |
2405 | { | |
2406 | typedef gamma_distribution<_RealType> distribution_type; | |
2407 | friend class gamma_distribution<_RealType>; | |
2408 | ||
2409 | explicit | |
2410 | param_type(_RealType __alpha_val = _RealType(1), | |
2411 | _RealType __beta_val = _RealType(1)) | |
2412 | : _M_alpha(__alpha_val), _M_beta(__beta_val) | |
2413 | { | |
2414 | _GLIBCXX_DEBUG_ASSERT(_M_alpha > _RealType(0)); | |
2415 | _M_initialize(); | |
2416 | } | |
2417 | ||
2418 | _RealType | |
2419 | alpha() const | |
2420 | { return _M_alpha; } | |
2421 | ||
2422 | _RealType | |
2423 | beta() const | |
2424 | { return _M_beta; } | |
2425 | ||
fc05e1ba PC |
2426 | friend bool |
2427 | operator==(const param_type& __p1, const param_type& __p2) | |
2428 | { return (__p1._M_alpha == __p2._M_alpha | |
2429 | && __p1._M_beta == __p2._M_beta); } | |
2430 | ||
f9b09dec PC |
2431 | private: |
2432 | void | |
2433 | _M_initialize(); | |
2434 | ||
2435 | _RealType _M_alpha; | |
2436 | _RealType _M_beta; | |
2437 | ||
2438 | _RealType _M_malpha, _M_a2; | |
2439 | }; | |
2440 | ||
2441 | public: | |
2442 | /** | |
2443 | * @brief Constructs a gamma distribution with parameters | |
6cc5a790 | 2444 | * @f$\alpha@f$ and @f$\beta@f$. |
f9b09dec PC |
2445 | */ |
2446 | explicit | |
2447 | gamma_distribution(_RealType __alpha_val = _RealType(1), | |
2448 | _RealType __beta_val = _RealType(1)) | |
2449 | : _M_param(__alpha_val, __beta_val), _M_nd() | |
2450 | { } | |
2451 | ||
2452 | explicit | |
2453 | gamma_distribution(const param_type& __p) | |
2454 | : _M_param(__p), _M_nd() | |
2455 | { } | |
2456 | ||
2457 | /** | |
2458 | * @brief Resets the distribution state. | |
2459 | */ | |
2460 | void | |
2461 | reset() | |
2462 | { _M_nd.reset(); } | |
2463 | ||
2464 | /** | |
6cc5a790 | 2465 | * @brief Returns the @f$\alpha@f$ of the distribution. |
f9b09dec PC |
2466 | */ |
2467 | _RealType | |
2468 | alpha() const | |
2469 | { return _M_param.alpha(); } | |
2470 | ||
2471 | /** | |
6cc5a790 | 2472 | * @brief Returns the @f$\beta@f$ of the distribution. |
f9b09dec PC |
2473 | */ |
2474 | _RealType | |
2475 | beta() const | |
2476 | { return _M_param.beta(); } | |
2477 | ||
2478 | /** | |
2479 | * @brief Returns the parameter set of the distribution. | |
2480 | */ | |
2481 | param_type | |
2482 | param() const | |
2483 | { return _M_param; } | |
2484 | ||
2485 | /** | |
2486 | * @brief Sets the parameter set of the distribution. | |
2487 | * @param __param The new parameter set of the distribution. | |
2488 | */ | |
2489 | void | |
2490 | param(const param_type& __param) | |
2491 | { _M_param = __param; } | |
2492 | ||
2493 | /** | |
2494 | * @brief Returns the greatest lower bound value of the distribution. | |
2495 | */ | |
2496 | result_type | |
2497 | min() const | |
2498 | { return result_type(0); } | |
2499 | ||
2500 | /** | |
2501 | * @brief Returns the least upper bound value of the distribution. | |
2502 | */ | |
2503 | result_type | |
2504 | max() const | |
2505 | { return std::numeric_limits<result_type>::max(); } | |
2506 | ||
247d8075 PC |
2507 | /** |
2508 | * @brief Generating functions. | |
2509 | */ | |
f9b09dec PC |
2510 | template<typename _UniformRandomNumberGenerator> |
2511 | result_type | |
2512 | operator()(_UniformRandomNumberGenerator& __urng) | |
2513 | { return this->operator()(__urng, this->param()); } | |
2514 | ||
2515 | template<typename _UniformRandomNumberGenerator> | |
2516 | result_type | |
2517 | operator()(_UniformRandomNumberGenerator& __urng, | |
2518 | const param_type& __p); | |
2519 | ||
fc05e1ba PC |
2520 | /** |
2521 | * @brief Return true if two gamma distributions have the same | |
2522 | * parameters and the sequences that would be generated | |
2523 | * are equal. | |
2524 | */ | |
a30e18c1 MG |
2525 | friend bool |
2526 | operator==(const gamma_distribution& __d1, | |
2527 | const gamma_distribution& __d2) | |
2528 | { return (__d1.param() == __d2.param() | |
2529 | && __d1._M_nd == __d2._M_nd); } | |
fc05e1ba | 2530 | |
e1923769 ESR |
2531 | /** |
2532 | * @brief Inserts a %gamma_distribution random number distribution | |
2533 | * @p __x into the output stream @p __os. | |
2534 | * | |
2535 | * @param __os An output stream. | |
2536 | * @param __x A %gamma_distribution random number distribution. | |
2537 | * | |
2538 | * @returns The output stream with the state of @p __x inserted or in | |
2539 | * an error state. | |
2540 | */ | |
2541 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2542 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2543 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2544 | const std::gamma_distribution<_RealType1>& __x); | |
e1923769 ESR |
2545 | |
2546 | /** | |
2547 | * @brief Extracts a %gamma_distribution random number distribution | |
2548 | * @p __x from the input stream @p __is. | |
2549 | * | |
2550 | * @param __is An input stream. | |
2551 | * @param __x A %gamma_distribution random number generator engine. | |
2552 | * | |
2553 | * @returns The input stream with @p __x extracted or in an error state. | |
2554 | */ | |
2555 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2556 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2557 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2558 | std::gamma_distribution<_RealType1>& __x); | |
e1923769 | 2559 | |
f9b09dec PC |
2560 | private: |
2561 | param_type _M_param; | |
2562 | ||
2563 | std::normal_distribution<result_type> _M_nd; | |
2564 | }; | |
2565 | ||
fc05e1ba PC |
2566 | /** |
2567 | * @brief Return true if two gamma distributions are different. | |
2568 | */ | |
2569 | template<typename _RealType> | |
a30e18c1 | 2570 | inline bool |
fc05e1ba PC |
2571 | operator!=(const std::gamma_distribution<_RealType>& __d1, |
2572 | const std::gamma_distribution<_RealType>& __d2) | |
2573 | { return !(__d1 == __d2); } | |
2574 | ||
8e79468d BK |
2575 | |
2576 | /** | |
2577 | * @brief A chi_squared_distribution random number distribution. | |
2578 | * | |
2579 | * The formula for the normal probability mass function is | |
6cc5a790 | 2580 | * @f$p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}}@f$ |
8e79468d BK |
2581 | */ |
2582 | template<typename _RealType = double> | |
2583 | class chi_squared_distribution | |
2584 | { | |
77e3c516 PC |
2585 | static_assert(std::is_floating_point<_RealType>::value, |
2586 | "template argument not a floating point type"); | |
2587 | ||
8e79468d BK |
2588 | public: |
2589 | /** The type of the range of the distribution. */ | |
2590 | typedef _RealType result_type; | |
2591 | /** Parameter type. */ | |
2592 | struct param_type | |
2593 | { | |
2594 | typedef chi_squared_distribution<_RealType> distribution_type; | |
2595 | ||
2596 | explicit | |
2597 | param_type(_RealType __n = _RealType(1)) | |
2598 | : _M_n(__n) | |
2599 | { } | |
2600 | ||
2601 | _RealType | |
2602 | n() const | |
2603 | { return _M_n; } | |
2604 | ||
fc05e1ba PC |
2605 | friend bool |
2606 | operator==(const param_type& __p1, const param_type& __p2) | |
2607 | { return __p1._M_n == __p2._M_n; } | |
2608 | ||
8e79468d BK |
2609 | private: |
2610 | _RealType _M_n; | |
2611 | }; | |
2612 | ||
2613 | explicit | |
2614 | chi_squared_distribution(_RealType __n = _RealType(1)) | |
f9b09dec | 2615 | : _M_param(__n), _M_gd(__n / 2) |
8e79468d BK |
2616 | { } |
2617 | ||
2618 | explicit | |
2619 | chi_squared_distribution(const param_type& __p) | |
f9b09dec | 2620 | : _M_param(__p), _M_gd(__p.n() / 2) |
8e79468d BK |
2621 | { } |
2622 | ||
2623 | /** | |
2624 | * @brief Resets the distribution state. | |
2625 | */ | |
2626 | void | |
2627 | reset() | |
f9b09dec | 2628 | { _M_gd.reset(); } |
8e79468d BK |
2629 | |
2630 | /** | |
2631 | * | |
2632 | */ | |
2633 | _RealType | |
2634 | n() const | |
2635 | { return _M_param.n(); } | |
2636 | ||
2637 | /** | |
2638 | * @brief Returns the parameter set of the distribution. | |
2639 | */ | |
2640 | param_type | |
2641 | param() const | |
2642 | { return _M_param; } | |
2643 | ||
2644 | /** | |
2645 | * @brief Sets the parameter set of the distribution. | |
2646 | * @param __param The new parameter set of the distribution. | |
2647 | */ | |
2648 | void | |
2649 | param(const param_type& __param) | |
2650 | { _M_param = __param; } | |
2651 | ||
2652 | /** | |
2653 | * @brief Returns the greatest lower bound value of the distribution. | |
2654 | */ | |
2655 | result_type | |
2656 | min() const | |
2657 | { return result_type(0); } | |
2658 | ||
2659 | /** | |
2660 | * @brief Returns the least upper bound value of the distribution. | |
2661 | */ | |
2662 | result_type | |
2663 | max() const | |
2664 | { return std::numeric_limits<result_type>::max(); } | |
2665 | ||
247d8075 PC |
2666 | /** |
2667 | * @brief Generating functions. | |
2668 | */ | |
8e79468d BK |
2669 | template<typename _UniformRandomNumberGenerator> |
2670 | result_type | |
2671 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 2672 | { return 2 * _M_gd(__urng); } |
8e79468d BK |
2673 | |
2674 | template<typename _UniformRandomNumberGenerator> | |
2675 | result_type | |
2676 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
2677 | const param_type& __p) |
2678 | { | |
2679 | typedef typename std::gamma_distribution<result_type>::param_type | |
2680 | param_type; | |
2681 | return 2 * _M_gd(__urng, param_type(__p.n() / 2)); | |
2682 | } | |
8e79468d | 2683 | |
fc05e1ba PC |
2684 | /** |
2685 | * @brief Return true if two Chi-squared distributions have | |
2686 | * the same parameters and the sequences that would be | |
2687 | * generated are equal. | |
2688 | */ | |
a30e18c1 MG |
2689 | friend bool |
2690 | operator==(const chi_squared_distribution& __d1, | |
2691 | const chi_squared_distribution& __d2) | |
2692 | { return __d1.param() == __d2.param() && __d1._M_gd == __d2._M_gd; } | |
fc05e1ba | 2693 | |
e1923769 ESR |
2694 | /** |
2695 | * @brief Inserts a %chi_squared_distribution random number distribution | |
2696 | * @p __x into the output stream @p __os. | |
2697 | * | |
2698 | * @param __os An output stream. | |
2699 | * @param __x A %chi_squared_distribution random number distribution. | |
2700 | * | |
2701 | * @returns The output stream with the state of @p __x inserted or in | |
2702 | * an error state. | |
2703 | */ | |
2704 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2705 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2706 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2707 | const std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 ESR |
2708 | |
2709 | /** | |
2710 | * @brief Extracts a %chi_squared_distribution random number distribution | |
2711 | * @p __x from the input stream @p __is. | |
2712 | * | |
2713 | * @param __is An input stream. | |
2714 | * @param __x A %chi_squared_distribution random number | |
2715 | * generator engine. | |
2716 | * | |
2717 | * @returns The input stream with @p __x extracted or in an error state. | |
2718 | */ | |
2719 | template<typename _RealType1, typename _CharT, typename _Traits> | |
2720 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2721 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2722 | std::chi_squared_distribution<_RealType1>& __x); | |
e1923769 | 2723 | |
8e79468d BK |
2724 | private: |
2725 | param_type _M_param; | |
f9b09dec PC |
2726 | |
2727 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
2728 | }; |
2729 | ||
fc05e1ba PC |
2730 | /** |
2731 | * @brief Return true if two Chi-squared distributions are different. | |
2732 | */ | |
2733 | template<typename _RealType> | |
2734 | inline bool | |
2735 | operator!=(const std::chi_squared_distribution<_RealType>& __d1, | |
2736 | const std::chi_squared_distribution<_RealType>& __d2) | |
2737 | { return !(__d1 == __d2); } | |
2738 | ||
8e79468d BK |
2739 | |
2740 | /** | |
2741 | * @brief A cauchy_distribution random number distribution. | |
2742 | * | |
2743 | * The formula for the normal probability mass function is | |
6cc5a790 | 2744 | * @f$p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1}@f$ |
8e79468d BK |
2745 | */ |
2746 | template<typename _RealType = double> | |
2747 | class cauchy_distribution | |
2748 | { | |
77e3c516 PC |
2749 | static_assert(std::is_floating_point<_RealType>::value, |
2750 | "template argument not a floating point type"); | |
2751 | ||
8e79468d BK |
2752 | public: |
2753 | /** The type of the range of the distribution. */ | |
2754 | typedef _RealType result_type; | |
2755 | /** Parameter type. */ | |
2756 | struct param_type | |
2757 | { | |
2758 | typedef cauchy_distribution<_RealType> distribution_type; | |
2759 | ||
2760 | explicit | |
2761 | param_type(_RealType __a = _RealType(0), | |
2762 | _RealType __b = _RealType(1)) | |
2763 | : _M_a(__a), _M_b(__b) | |
2764 | { } | |
2765 | ||
2766 | _RealType | |
2767 | a() const | |
2768 | { return _M_a; } | |
2769 | ||
2770 | _RealType | |
2771 | b() const | |
2772 | { return _M_b; } | |
2773 | ||
fc05e1ba PC |
2774 | friend bool |
2775 | operator==(const param_type& __p1, const param_type& __p2) | |
2776 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
2777 | ||
8e79468d BK |
2778 | private: |
2779 | _RealType _M_a; | |
2780 | _RealType _M_b; | |
2781 | }; | |
2782 | ||
2783 | explicit | |
2784 | cauchy_distribution(_RealType __a = _RealType(0), | |
2785 | _RealType __b = _RealType(1)) | |
2786 | : _M_param(__a, __b) | |
2787 | { } | |
2788 | ||
2789 | explicit | |
2790 | cauchy_distribution(const param_type& __p) | |
2791 | : _M_param(__p) | |
2792 | { } | |
2793 | ||
2794 | /** | |
2795 | * @brief Resets the distribution state. | |
2796 | */ | |
2797 | void | |
2798 | reset() | |
2799 | { } | |
2800 | ||
2801 | /** | |
2802 | * | |
2803 | */ | |
2804 | _RealType | |
2805 | a() const | |
2806 | { return _M_param.a(); } | |
2807 | ||
2808 | _RealType | |
2809 | b() const | |
2810 | { return _M_param.b(); } | |
2811 | ||
2812 | /** | |
2813 | * @brief Returns the parameter set of the distribution. | |
2814 | */ | |
2815 | param_type | |
2816 | param() const | |
2817 | { return _M_param; } | |
2818 | ||
2819 | /** | |
2820 | * @brief Sets the parameter set of the distribution. | |
2821 | * @param __param The new parameter set of the distribution. | |
2822 | */ | |
2823 | void | |
2824 | param(const param_type& __param) | |
2825 | { _M_param = __param; } | |
2826 | ||
2827 | /** | |
2828 | * @brief Returns the greatest lower bound value of the distribution. | |
2829 | */ | |
2830 | result_type | |
2831 | min() const | |
2832 | { return std::numeric_limits<result_type>::min(); } | |
2833 | ||
2834 | /** | |
2835 | * @brief Returns the least upper bound value of the distribution. | |
2836 | */ | |
2837 | result_type | |
2838 | max() const | |
2839 | { return std::numeric_limits<result_type>::max(); } | |
2840 | ||
247d8075 PC |
2841 | /** |
2842 | * @brief Generating functions. | |
2843 | */ | |
8e79468d BK |
2844 | template<typename _UniformRandomNumberGenerator> |
2845 | result_type | |
2846 | operator()(_UniformRandomNumberGenerator& __urng) | |
2847 | { return this->operator()(__urng, this->param()); } | |
2848 | ||
2849 | template<typename _UniformRandomNumberGenerator> | |
2850 | result_type | |
2851 | operator()(_UniformRandomNumberGenerator& __urng, | |
2852 | const param_type& __p); | |
2853 | ||
2854 | private: | |
2855 | param_type _M_param; | |
2856 | }; | |
2857 | ||
fc05e1ba PC |
2858 | /** |
2859 | * @brief Return true if two Cauchy distributions have | |
2860 | * the same parameters. | |
2861 | */ | |
2862 | template<typename _RealType> | |
2863 | inline bool | |
2864 | operator==(const std::cauchy_distribution<_RealType>& __d1, | |
2865 | const std::cauchy_distribution<_RealType>& __d2) | |
2866 | { return __d1.param() == __d2.param(); } | |
2867 | ||
2868 | /** | |
2869 | * @brief Return true if two Cauchy distributions have | |
2870 | * different parameters. | |
2871 | */ | |
2872 | template<typename _RealType> | |
2873 | inline bool | |
2874 | operator!=(const std::cauchy_distribution<_RealType>& __d1, | |
2875 | const std::cauchy_distribution<_RealType>& __d2) | |
2876 | { return !(__d1 == __d2); } | |
2877 | ||
8e79468d BK |
2878 | /** |
2879 | * @brief Inserts a %cauchy_distribution random number distribution | |
2880 | * @p __x into the output stream @p __os. | |
2881 | * | |
2882 | * @param __os An output stream. | |
2883 | * @param __x A %cauchy_distribution random number distribution. | |
2884 | * | |
2885 | * @returns The output stream with the state of @p __x inserted or in | |
2886 | * an error state. | |
2887 | */ | |
2888 | template<typename _RealType, typename _CharT, typename _Traits> | |
2889 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
2890 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
2891 | const std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
2892 | |
2893 | /** | |
2894 | * @brief Extracts a %cauchy_distribution random number distribution | |
2895 | * @p __x from the input stream @p __is. | |
2896 | * | |
2897 | * @param __is An input stream. | |
2898 | * @param __x A %cauchy_distribution random number | |
2899 | * generator engine. | |
2900 | * | |
2901 | * @returns The input stream with @p __x extracted or in an error state. | |
2902 | */ | |
2903 | template<typename _RealType, typename _CharT, typename _Traits> | |
2904 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
2905 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
2906 | std::cauchy_distribution<_RealType>& __x); | |
8e79468d BK |
2907 | |
2908 | ||
2909 | /** | |
2910 | * @brief A fisher_f_distribution random number distribution. | |
2911 | * | |
2912 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
2913 | * @f[ |
2914 | * p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)} | |
04b70271 | 2915 | * (\frac{m}{n})^{m/2} x^{(m/2)-1} |
6cc5a790 BK |
2916 | * (1 + \frac{mx}{n})^{-(m+n)/2} |
2917 | * @f] | |
8e79468d BK |
2918 | */ |
2919 | template<typename _RealType = double> | |
2920 | class fisher_f_distribution | |
2921 | { | |
77e3c516 PC |
2922 | static_assert(std::is_floating_point<_RealType>::value, |
2923 | "template argument not a floating point type"); | |
2924 | ||
8e79468d BK |
2925 | public: |
2926 | /** The type of the range of the distribution. */ | |
2927 | typedef _RealType result_type; | |
2928 | /** Parameter type. */ | |
2929 | struct param_type | |
2930 | { | |
2931 | typedef fisher_f_distribution<_RealType> distribution_type; | |
2932 | ||
2933 | explicit | |
2934 | param_type(_RealType __m = _RealType(1), | |
2935 | _RealType __n = _RealType(1)) | |
2936 | : _M_m(__m), _M_n(__n) | |
2937 | { } | |
2938 | ||
2939 | _RealType | |
2940 | m() const | |
2941 | { return _M_m; } | |
2942 | ||
2943 | _RealType | |
2944 | n() const | |
2945 | { return _M_n; } | |
2946 | ||
fc05e1ba PC |
2947 | friend bool |
2948 | operator==(const param_type& __p1, const param_type& __p2) | |
2949 | { return __p1._M_m == __p2._M_m && __p1._M_n == __p2._M_n; } | |
2950 | ||
8e79468d BK |
2951 | private: |
2952 | _RealType _M_m; | |
2953 | _RealType _M_n; | |
2954 | }; | |
2955 | ||
2956 | explicit | |
2957 | fisher_f_distribution(_RealType __m = _RealType(1), | |
2958 | _RealType __n = _RealType(1)) | |
f9b09dec | 2959 | : _M_param(__m, __n), _M_gd_x(__m / 2), _M_gd_y(__n / 2) |
8e79468d BK |
2960 | { } |
2961 | ||
2962 | explicit | |
2963 | fisher_f_distribution(const param_type& __p) | |
f9b09dec | 2964 | : _M_param(__p), _M_gd_x(__p.m() / 2), _M_gd_y(__p.n() / 2) |
8e79468d BK |
2965 | { } |
2966 | ||
2967 | /** | |
2968 | * @brief Resets the distribution state. | |
2969 | */ | |
2970 | void | |
2971 | reset() | |
f9b09dec PC |
2972 | { |
2973 | _M_gd_x.reset(); | |
2974 | _M_gd_y.reset(); | |
2975 | } | |
8e79468d BK |
2976 | |
2977 | /** | |
2978 | * | |
2979 | */ | |
2980 | _RealType | |
2981 | m() const | |
2982 | { return _M_param.m(); } | |
2983 | ||
2984 | _RealType | |
2985 | n() const | |
2986 | { return _M_param.n(); } | |
2987 | ||
2988 | /** | |
2989 | * @brief Returns the parameter set of the distribution. | |
2990 | */ | |
2991 | param_type | |
2992 | param() const | |
2993 | { return _M_param; } | |
2994 | ||
2995 | /** | |
2996 | * @brief Sets the parameter set of the distribution. | |
2997 | * @param __param The new parameter set of the distribution. | |
2998 | */ | |
2999 | void | |
3000 | param(const param_type& __param) | |
3001 | { _M_param = __param; } | |
3002 | ||
3003 | /** | |
3004 | * @brief Returns the greatest lower bound value of the distribution. | |
3005 | */ | |
3006 | result_type | |
3007 | min() const | |
3008 | { return result_type(0); } | |
3009 | ||
3010 | /** | |
3011 | * @brief Returns the least upper bound value of the distribution. | |
3012 | */ | |
3013 | result_type | |
3014 | max() const | |
3015 | { return std::numeric_limits<result_type>::max(); } | |
3016 | ||
247d8075 PC |
3017 | /** |
3018 | * @brief Generating functions. | |
3019 | */ | |
8e79468d BK |
3020 | template<typename _UniformRandomNumberGenerator> |
3021 | result_type | |
3022 | operator()(_UniformRandomNumberGenerator& __urng) | |
f9b09dec | 3023 | { return (_M_gd_x(__urng) * n()) / (_M_gd_y(__urng) * m()); } |
8e79468d BK |
3024 | |
3025 | template<typename _UniformRandomNumberGenerator> | |
3026 | result_type | |
3027 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3028 | const param_type& __p) |
3029 | { | |
3030 | typedef typename std::gamma_distribution<result_type>::param_type | |
3031 | param_type; | |
3032 | return ((_M_gd_x(__urng, param_type(__p.m() / 2)) * n()) | |
3033 | / (_M_gd_y(__urng, param_type(__p.n() / 2)) * m())); | |
3034 | } | |
8e79468d | 3035 | |
fc05e1ba PC |
3036 | /** |
3037 | * @brief Return true if two Fisher f distributions have | |
3038 | * the same parameters and the sequences that would | |
3039 | * be generated are equal. | |
3040 | */ | |
a30e18c1 MG |
3041 | friend bool |
3042 | operator==(const fisher_f_distribution& __d1, | |
3043 | const fisher_f_distribution& __d2) | |
3044 | { return (__d1.param() == __d2.param() | |
3045 | && __d1._M_gd_x == __d2._M_gd_x | |
3046 | && __d1._M_gd_y == __d2._M_gd_y); } | |
fc05e1ba | 3047 | |
e1923769 ESR |
3048 | /** |
3049 | * @brief Inserts a %fisher_f_distribution random number distribution | |
3050 | * @p __x into the output stream @p __os. | |
3051 | * | |
3052 | * @param __os An output stream. | |
3053 | * @param __x A %fisher_f_distribution random number distribution. | |
3054 | * | |
3055 | * @returns The output stream with the state of @p __x inserted or in | |
3056 | * an error state. | |
3057 | */ | |
3058 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3059 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3060 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3061 | const std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 ESR |
3062 | |
3063 | /** | |
3064 | * @brief Extracts a %fisher_f_distribution random number distribution | |
3065 | * @p __x from the input stream @p __is. | |
3066 | * | |
3067 | * @param __is An input stream. | |
3068 | * @param __x A %fisher_f_distribution random number | |
3069 | * generator engine. | |
3070 | * | |
3071 | * @returns The input stream with @p __x extracted or in an error state. | |
3072 | */ | |
3073 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3074 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3075 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3076 | std::fisher_f_distribution<_RealType1>& __x); | |
e1923769 | 3077 | |
8e79468d BK |
3078 | private: |
3079 | param_type _M_param; | |
f9b09dec PC |
3080 | |
3081 | std::gamma_distribution<result_type> _M_gd_x, _M_gd_y; | |
8e79468d BK |
3082 | }; |
3083 | ||
fc05e1ba PC |
3084 | /** |
3085 | * @brief Return true if two Fisher f distributions are diferent. | |
3086 | */ | |
3087 | template<typename _RealType> | |
3088 | inline bool | |
3089 | operator!=(const std::fisher_f_distribution<_RealType>& __d1, | |
3090 | const std::fisher_f_distribution<_RealType>& __d2) | |
3091 | { return !(__d1 == __d2); } | |
8e79468d BK |
3092 | |
3093 | /** | |
3094 | * @brief A student_t_distribution random number distribution. | |
3095 | * | |
6cc5a790 BK |
3096 | * The formula for the normal probability mass function is: |
3097 | * @f[ | |
3098 | * p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)} | |
3099 | * (1 + \frac{x^2}{n}) ^{-(n+1)/2} | |
3100 | * @f] | |
8e79468d BK |
3101 | */ |
3102 | template<typename _RealType = double> | |
3103 | class student_t_distribution | |
3104 | { | |
77e3c516 PC |
3105 | static_assert(std::is_floating_point<_RealType>::value, |
3106 | "template argument not a floating point type"); | |
3107 | ||
8e79468d BK |
3108 | public: |
3109 | /** The type of the range of the distribution. */ | |
3110 | typedef _RealType result_type; | |
3111 | /** Parameter type. */ | |
3112 | struct param_type | |
3113 | { | |
3114 | typedef student_t_distribution<_RealType> distribution_type; | |
3115 | ||
3116 | explicit | |
3117 | param_type(_RealType __n = _RealType(1)) | |
3118 | : _M_n(__n) | |
3119 | { } | |
3120 | ||
3121 | _RealType | |
3122 | n() const | |
3123 | { return _M_n; } | |
3124 | ||
fc05e1ba PC |
3125 | friend bool |
3126 | operator==(const param_type& __p1, const param_type& __p2) | |
3127 | { return __p1._M_n == __p2._M_n; } | |
3128 | ||
8e79468d BK |
3129 | private: |
3130 | _RealType _M_n; | |
3131 | }; | |
3132 | ||
3133 | explicit | |
3134 | student_t_distribution(_RealType __n = _RealType(1)) | |
f9b09dec | 3135 | : _M_param(__n), _M_nd(), _M_gd(__n / 2, 2) |
8e79468d BK |
3136 | { } |
3137 | ||
3138 | explicit | |
3139 | student_t_distribution(const param_type& __p) | |
f9b09dec | 3140 | : _M_param(__p), _M_nd(), _M_gd(__p.n() / 2, 2) |
8e79468d BK |
3141 | { } |
3142 | ||
3143 | /** | |
3144 | * @brief Resets the distribution state. | |
3145 | */ | |
3146 | void | |
3147 | reset() | |
f9b09dec PC |
3148 | { |
3149 | _M_nd.reset(); | |
3150 | _M_gd.reset(); | |
3151 | } | |
8e79468d BK |
3152 | |
3153 | /** | |
3154 | * | |
3155 | */ | |
3156 | _RealType | |
3157 | n() const | |
3158 | { return _M_param.n(); } | |
3159 | ||
3160 | /** | |
3161 | * @brief Returns the parameter set of the distribution. | |
3162 | */ | |
3163 | param_type | |
3164 | param() const | |
3165 | { return _M_param; } | |
3166 | ||
3167 | /** | |
3168 | * @brief Sets the parameter set of the distribution. | |
3169 | * @param __param The new parameter set of the distribution. | |
3170 | */ | |
3171 | void | |
3172 | param(const param_type& __param) | |
3173 | { _M_param = __param; } | |
3174 | ||
3175 | /** | |
3176 | * @brief Returns the greatest lower bound value of the distribution. | |
3177 | */ | |
3178 | result_type | |
3179 | min() const | |
3180 | { return std::numeric_limits<result_type>::min(); } | |
3181 | ||
3182 | /** | |
3183 | * @brief Returns the least upper bound value of the distribution. | |
3184 | */ | |
3185 | result_type | |
3186 | max() const | |
3187 | { return std::numeric_limits<result_type>::max(); } | |
3188 | ||
247d8075 PC |
3189 | /** |
3190 | * @brief Generating functions. | |
3191 | */ | |
8e79468d BK |
3192 | template<typename _UniformRandomNumberGenerator> |
3193 | result_type | |
f9b09dec PC |
3194 | operator()(_UniformRandomNumberGenerator& __urng) |
3195 | { return _M_nd(__urng) * std::sqrt(n() / _M_gd(__urng)); } | |
8e79468d BK |
3196 | |
3197 | template<typename _UniformRandomNumberGenerator> | |
3198 | result_type | |
3199 | operator()(_UniformRandomNumberGenerator& __urng, | |
f9b09dec PC |
3200 | const param_type& __p) |
3201 | { | |
3202 | typedef typename std::gamma_distribution<result_type>::param_type | |
3203 | param_type; | |
3204 | ||
3205 | const result_type __g = _M_gd(__urng, param_type(__p.n() / 2, 2)); | |
3206 | return _M_nd(__urng) * std::sqrt(__p.n() / __g); | |
3207 | } | |
8e79468d | 3208 | |
fc05e1ba PC |
3209 | /** |
3210 | * @brief Return true if two Student t distributions have | |
3211 | * the same parameters and the sequences that would | |
3212 | * be generated are equal. | |
3213 | */ | |
a30e18c1 MG |
3214 | friend bool |
3215 | operator==(const student_t_distribution& __d1, | |
3216 | const student_t_distribution& __d2) | |
3217 | { return (__d1.param() == __d2.param() | |
3218 | && __d1._M_nd == __d2._M_nd && __d1._M_gd == __d2._M_gd); } | |
fc05e1ba | 3219 | |
e1923769 ESR |
3220 | /** |
3221 | * @brief Inserts a %student_t_distribution random number distribution | |
3222 | * @p __x into the output stream @p __os. | |
3223 | * | |
3224 | * @param __os An output stream. | |
3225 | * @param __x A %student_t_distribution random number distribution. | |
3226 | * | |
3227 | * @returns The output stream with the state of @p __x inserted or in | |
3228 | * an error state. | |
3229 | */ | |
3230 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3231 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3232 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3233 | const std::student_t_distribution<_RealType1>& __x); | |
e1923769 ESR |
3234 | |
3235 | /** | |
3236 | * @brief Extracts a %student_t_distribution random number distribution | |
3237 | * @p __x from the input stream @p __is. | |
3238 | * | |
3239 | * @param __is An input stream. | |
3240 | * @param __x A %student_t_distribution random number | |
3241 | * generator engine. | |
3242 | * | |
3243 | * @returns The input stream with @p __x extracted or in an error state. | |
3244 | */ | |
3245 | template<typename _RealType1, typename _CharT, typename _Traits> | |
3246 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3247 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3248 | std::student_t_distribution<_RealType1>& __x); | |
e1923769 | 3249 | |
8e79468d | 3250 | private: |
8e79468d | 3251 | param_type _M_param; |
b01630bb | 3252 | |
f9b09dec PC |
3253 | std::normal_distribution<result_type> _M_nd; |
3254 | std::gamma_distribution<result_type> _M_gd; | |
8e79468d BK |
3255 | }; |
3256 | ||
fc05e1ba PC |
3257 | /** |
3258 | * @brief Return true if two Student t distributions are different. | |
3259 | */ | |
3260 | template<typename _RealType> | |
3261 | inline bool | |
3262 | operator!=(const std::student_t_distribution<_RealType>& __d1, | |
3263 | const std::student_t_distribution<_RealType>& __d2) | |
3264 | { return !(__d1 == __d2); } | |
3265 | ||
3266 | ||
037181bc | 3267 | /* @} */ // group random_distributions_normal |
8e79468d BK |
3268 | |
3269 | /** | |
94a86be0 | 3270 | * @addtogroup random_distributions_bernoulli Bernoulli Distributions |
037181bc | 3271 | * @ingroup random_distributions |
8e79468d BK |
3272 | * @{ |
3273 | */ | |
3274 | ||
3275 | /** | |
3276 | * @brief A Bernoulli random number distribution. | |
3277 | * | |
6cc5a790 BK |
3278 | * Generates a sequence of true and false values with likelihood @f$p@f$ |
3279 | * that true will come up and @f$(1 - p)@f$ that false will appear. | |
8e79468d BK |
3280 | */ |
3281 | class bernoulli_distribution | |
3282 | { | |
3283 | public: | |
3284 | /** The type of the range of the distribution. */ | |
3285 | typedef bool result_type; | |
3286 | /** Parameter type. */ | |
3287 | struct param_type | |
3288 | { | |
3289 | typedef bernoulli_distribution distribution_type; | |
3290 | ||
3291 | explicit | |
3292 | param_type(double __p = 0.5) | |
3293 | : _M_p(__p) | |
3294 | { | |
3295 | _GLIBCXX_DEBUG_ASSERT((_M_p >= 0.0) && (_M_p <= 1.0)); | |
3296 | } | |
3297 | ||
3298 | double | |
3299 | p() const | |
3300 | { return _M_p; } | |
3301 | ||
fc05e1ba PC |
3302 | friend bool |
3303 | operator==(const param_type& __p1, const param_type& __p2) | |
3304 | { return __p1._M_p == __p2._M_p; } | |
3305 | ||
8e79468d BK |
3306 | private: |
3307 | double _M_p; | |
3308 | }; | |
3309 | ||
3310 | public: | |
3311 | /** | |
3312 | * @brief Constructs a Bernoulli distribution with likelihood @p p. | |
3313 | * | |
3314 | * @param __p [IN] The likelihood of a true result being returned. | |
6cc5a790 | 3315 | * Must be in the interval @f$[0, 1]@f$. |
8e79468d BK |
3316 | */ |
3317 | explicit | |
3318 | bernoulli_distribution(double __p = 0.5) | |
3319 | : _M_param(__p) | |
3320 | { } | |
3321 | ||
3322 | explicit | |
3323 | bernoulli_distribution(const param_type& __p) | |
3324 | : _M_param(__p) | |
3325 | { } | |
3326 | ||
3327 | /** | |
3328 | * @brief Resets the distribution state. | |
3329 | * | |
3330 | * Does nothing for a Bernoulli distribution. | |
3331 | */ | |
3332 | void | |
3333 | reset() { } | |
3334 | ||
3335 | /** | |
3336 | * @brief Returns the @p p parameter of the distribution. | |
3337 | */ | |
3338 | double | |
3339 | p() const | |
3340 | { return _M_param.p(); } | |
3341 | ||
3342 | /** | |
3343 | * @brief Returns the parameter set of the distribution. | |
3344 | */ | |
3345 | param_type | |
3346 | param() const | |
3347 | { return _M_param; } | |
3348 | ||
3349 | /** | |
3350 | * @brief Sets the parameter set of the distribution. | |
3351 | * @param __param The new parameter set of the distribution. | |
3352 | */ | |
3353 | void | |
3354 | param(const param_type& __param) | |
3355 | { _M_param = __param; } | |
3356 | ||
3357 | /** | |
3358 | * @brief Returns the greatest lower bound value of the distribution. | |
3359 | */ | |
3360 | result_type | |
3361 | min() const | |
3362 | { return std::numeric_limits<result_type>::min(); } | |
3363 | ||
3364 | /** | |
3365 | * @brief Returns the least upper bound value of the distribution. | |
3366 | */ | |
3367 | result_type | |
3368 | max() const | |
3369 | { return std::numeric_limits<result_type>::max(); } | |
3370 | ||
3371 | /** | |
247d8075 | 3372 | * @brief Generating functions. |
8e79468d BK |
3373 | */ |
3374 | template<typename _UniformRandomNumberGenerator> | |
3375 | result_type | |
3376 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 3377 | { return this->operator()(__urng, this->param()); } |
8e79468d BK |
3378 | |
3379 | template<typename _UniformRandomNumberGenerator> | |
3380 | result_type | |
3381 | operator()(_UniformRandomNumberGenerator& __urng, | |
3382 | const param_type& __p) | |
3383 | { | |
3384 | __detail::_Adaptor<_UniformRandomNumberGenerator, double> | |
3385 | __aurng(__urng); | |
3386 | if ((__aurng() - __aurng.min()) | |
3387 | < __p.p() * (__aurng.max() - __aurng.min())) | |
3388 | return true; | |
3389 | return false; | |
3390 | } | |
3391 | ||
3392 | private: | |
3393 | param_type _M_param; | |
3394 | }; | |
3395 | ||
fc05e1ba PC |
3396 | /** |
3397 | * @brief Return true if two Bernoulli distributions have | |
3398 | * the same parameters. | |
3399 | */ | |
3400 | inline bool | |
3401 | operator==(const std::bernoulli_distribution& __d1, | |
3402 | const std::bernoulli_distribution& __d2) | |
3403 | { return __d1.param() == __d2.param(); } | |
3404 | ||
3405 | /** | |
3406 | * @brief Return true if two Bernoulli distributions have | |
3407 | * different parameters. | |
3408 | */ | |
3409 | inline bool | |
3410 | operator!=(const std::bernoulli_distribution& __d1, | |
3411 | const std::bernoulli_distribution& __d2) | |
3412 | { return !(__d1 == __d2); } | |
3413 | ||
8e79468d BK |
3414 | /** |
3415 | * @brief Inserts a %bernoulli_distribution random number distribution | |
3416 | * @p __x into the output stream @p __os. | |
3417 | * | |
3418 | * @param __os An output stream. | |
3419 | * @param __x A %bernoulli_distribution random number distribution. | |
3420 | * | |
3421 | * @returns The output stream with the state of @p __x inserted or in | |
3422 | * an error state. | |
3423 | */ | |
3424 | template<typename _CharT, typename _Traits> | |
3425 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3426 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3427 | const std::bernoulli_distribution& __x); | |
8e79468d BK |
3428 | |
3429 | /** | |
3430 | * @brief Extracts a %bernoulli_distribution random number distribution | |
3431 | * @p __x from the input stream @p __is. | |
3432 | * | |
3433 | * @param __is An input stream. | |
3434 | * @param __x A %bernoulli_distribution random number generator engine. | |
3435 | * | |
3436 | * @returns The input stream with @p __x extracted or in an error state. | |
3437 | */ | |
3438 | template<typename _CharT, typename _Traits> | |
3439 | std::basic_istream<_CharT, _Traits>& | |
3440 | operator>>(std::basic_istream<_CharT, _Traits>& __is, | |
94986f6d | 3441 | std::bernoulli_distribution& __x) |
8e79468d BK |
3442 | { |
3443 | double __p; | |
3444 | __is >> __p; | |
3445 | __x.param(bernoulli_distribution::param_type(__p)); | |
3446 | return __is; | |
3447 | } | |
3448 | ||
3449 | ||
3450 | /** | |
3451 | * @brief A discrete binomial random number distribution. | |
3452 | * | |
3453 | * The formula for the binomial probability density function is | |
6cc5a790 BK |
3454 | * @f$p(i|t,p) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
3455 | * and @f$p@f$ are the parameters of the distribution. | |
8e79468d BK |
3456 | */ |
3457 | template<typename _IntType = int> | |
3458 | class binomial_distribution | |
3459 | { | |
77e3c516 PC |
3460 | static_assert(std::is_integral<_IntType>::value, |
3461 | "template argument not an integral type"); | |
8e79468d BK |
3462 | |
3463 | public: | |
3464 | /** The type of the range of the distribution. */ | |
3465 | typedef _IntType result_type; | |
3466 | /** Parameter type. */ | |
3467 | struct param_type | |
3468 | { | |
3469 | typedef binomial_distribution<_IntType> distribution_type; | |
3470 | friend class binomial_distribution<_IntType>; | |
3471 | ||
3472 | explicit | |
3473 | param_type(_IntType __t = _IntType(1), double __p = 0.5) | |
3474 | : _M_t(__t), _M_p(__p) | |
3475 | { | |
3476 | _GLIBCXX_DEBUG_ASSERT((_M_t >= _IntType(0)) | |
94986f6d PC |
3477 | && (_M_p >= 0.0) |
3478 | && (_M_p <= 1.0)); | |
8e79468d BK |
3479 | _M_initialize(); |
3480 | } | |
3481 | ||
3482 | _IntType | |
3483 | t() const | |
3484 | { return _M_t; } | |
3485 | ||
3486 | double | |
3487 | p() const | |
3488 | { return _M_p; } | |
3489 | ||
fc05e1ba PC |
3490 | friend bool |
3491 | operator==(const param_type& __p1, const param_type& __p2) | |
3492 | { return __p1._M_t == __p2._M_t && __p1._M_p == __p2._M_p; } | |
3493 | ||
8e79468d BK |
3494 | private: |
3495 | void | |
3496 | _M_initialize(); | |
3497 | ||
3498 | _IntType _M_t; | |
3499 | double _M_p; | |
3500 | ||
3501 | double _M_q; | |
3502 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
3503 | double _M_d1, _M_d2, _M_s1, _M_s2, _M_c, | |
3504 | _M_a1, _M_a123, _M_s, _M_lf, _M_lp1p; | |
3505 | #endif | |
3506 | bool _M_easy; | |
3507 | }; | |
3508 | ||
3509 | // constructors and member function | |
3510 | explicit | |
3511 | binomial_distribution(_IntType __t = _IntType(1), | |
3512 | double __p = 0.5) | |
3513 | : _M_param(__t, __p), _M_nd() | |
3514 | { } | |
3515 | ||
3516 | explicit | |
3517 | binomial_distribution(const param_type& __p) | |
3518 | : _M_param(__p), _M_nd() | |
3519 | { } | |
3520 | ||
3521 | /** | |
3522 | * @brief Resets the distribution state. | |
3523 | */ | |
3524 | void | |
3525 | reset() | |
3526 | { _M_nd.reset(); } | |
3527 | ||
3528 | /** | |
3529 | * @brief Returns the distribution @p t parameter. | |
3530 | */ | |
3531 | _IntType | |
3532 | t() const | |
3533 | { return _M_param.t(); } | |
3534 | ||
3535 | /** | |
3536 | * @brief Returns the distribution @p p parameter. | |
3537 | */ | |
3538 | double | |
3539 | p() const | |
3540 | { return _M_param.p(); } | |
3541 | ||
3542 | /** | |
3543 | * @brief Returns the parameter set of the distribution. | |
3544 | */ | |
3545 | param_type | |
3546 | param() const | |
3547 | { return _M_param; } | |
3548 | ||
3549 | /** | |
3550 | * @brief Sets the parameter set of the distribution. | |
3551 | * @param __param The new parameter set of the distribution. | |
3552 | */ | |
3553 | void | |
3554 | param(const param_type& __param) | |
3555 | { _M_param = __param; } | |
3556 | ||
3557 | /** | |
3558 | * @brief Returns the greatest lower bound value of the distribution. | |
3559 | */ | |
3560 | result_type | |
3561 | min() const | |
3562 | { return 0; } | |
3563 | ||
3564 | /** | |
3565 | * @brief Returns the least upper bound value of the distribution. | |
3566 | */ | |
3567 | result_type | |
3568 | max() const | |
3569 | { return _M_param.t(); } | |
3570 | ||
247d8075 PC |
3571 | /** |
3572 | * @brief Generating functions. | |
3573 | */ | |
3574 | template<typename _UniformRandomNumberGenerator> | |
3575 | result_type | |
3576 | operator()(_UniformRandomNumberGenerator& __urng) | |
3577 | { return this->operator()(__urng, this->param()); } | |
3578 | ||
3579 | template<typename _UniformRandomNumberGenerator> | |
3580 | result_type | |
3581 | operator()(_UniformRandomNumberGenerator& __urng, | |
3582 | const param_type& __p); | |
3583 | ||
fc05e1ba PC |
3584 | /** |
3585 | * @brief Return true if two binomial distributions have | |
3586 | * the same parameters and the sequences that would | |
3587 | * be generated are equal. | |
3588 | */ | |
fc05e1ba | 3589 | friend bool |
a30e18c1 MG |
3590 | operator==(const binomial_distribution& __d1, |
3591 | const binomial_distribution& __d2) | |
fc05e1ba PC |
3592 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
3593 | { return __d1.param() == __d2.param() && __d1._M_nd == __d2._M_nd; } | |
3594 | #else | |
3595 | { return __d1.param() == __d2.param(); } | |
3596 | #endif | |
3597 | ||
8e79468d BK |
3598 | /** |
3599 | * @brief Inserts a %binomial_distribution random number distribution | |
3600 | * @p __x into the output stream @p __os. | |
3601 | * | |
3602 | * @param __os An output stream. | |
3603 | * @param __x A %binomial_distribution random number distribution. | |
3604 | * | |
3605 | * @returns The output stream with the state of @p __x inserted or in | |
3606 | * an error state. | |
3607 | */ | |
3608 | template<typename _IntType1, | |
3609 | typename _CharT, typename _Traits> | |
3610 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3611 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3612 | const std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3613 | |
3614 | /** | |
3615 | * @brief Extracts a %binomial_distribution random number distribution | |
3616 | * @p __x from the input stream @p __is. | |
3617 | * | |
3618 | * @param __is An input stream. | |
3619 | * @param __x A %binomial_distribution random number generator engine. | |
3620 | * | |
3621 | * @returns The input stream with @p __x extracted or in an error | |
3622 | * state. | |
3623 | */ | |
3624 | template<typename _IntType1, | |
3625 | typename _CharT, typename _Traits> | |
3626 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3627 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3628 | std::binomial_distribution<_IntType1>& __x); | |
8e79468d BK |
3629 | |
3630 | private: | |
3631 | template<typename _UniformRandomNumberGenerator> | |
3632 | result_type | |
3633 | _M_waiting(_UniformRandomNumberGenerator& __urng, _IntType __t); | |
3634 | ||
3635 | param_type _M_param; | |
3636 | ||
3637 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 3638 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
3639 | }; |
3640 | ||
fc05e1ba PC |
3641 | /** |
3642 | * @brief Return true if two binomial distributions are different. | |
3643 | */ | |
3644 | template<typename _IntType> | |
3645 | inline bool | |
3646 | operator!=(const std::binomial_distribution<_IntType>& __d1, | |
3647 | const std::binomial_distribution<_IntType>& __d2) | |
3648 | { return !(__d1 == __d2); } | |
3649 | ||
8e79468d BK |
3650 | |
3651 | /** | |
3652 | * @brief A discrete geometric random number distribution. | |
3653 | * | |
3654 | * The formula for the geometric probability density function is | |
d8d4db33 | 3655 | * @f$p(i|p) = p(1 - p)^{i}@f$ where @f$p@f$ is the parameter of the |
8e79468d BK |
3656 | * distribution. |
3657 | */ | |
3658 | template<typename _IntType = int> | |
3659 | class geometric_distribution | |
3660 | { | |
77e3c516 PC |
3661 | static_assert(std::is_integral<_IntType>::value, |
3662 | "template argument not an integral type"); | |
8e79468d BK |
3663 | |
3664 | public: | |
3665 | /** The type of the range of the distribution. */ | |
3666 | typedef _IntType result_type; | |
3667 | /** Parameter type. */ | |
3668 | struct param_type | |
3669 | { | |
3670 | typedef geometric_distribution<_IntType> distribution_type; | |
3671 | friend class geometric_distribution<_IntType>; | |
3672 | ||
3673 | explicit | |
3674 | param_type(double __p = 0.5) | |
3675 | : _M_p(__p) | |
3676 | { | |
113b21bd | 3677 | _GLIBCXX_DEBUG_ASSERT((_M_p > 0.0) && (_M_p < 1.0)); |
8e79468d BK |
3678 | _M_initialize(); |
3679 | } | |
3680 | ||
3681 | double | |
3682 | p() const | |
3683 | { return _M_p; } | |
3684 | ||
fc05e1ba PC |
3685 | friend bool |
3686 | operator==(const param_type& __p1, const param_type& __p2) | |
3687 | { return __p1._M_p == __p2._M_p; } | |
3688 | ||
8e79468d BK |
3689 | private: |
3690 | void | |
3691 | _M_initialize() | |
d8d4db33 | 3692 | { _M_log_1_p = std::log(1.0 - _M_p); } |
8e79468d BK |
3693 | |
3694 | double _M_p; | |
3695 | ||
d8d4db33 | 3696 | double _M_log_1_p; |
8e79468d BK |
3697 | }; |
3698 | ||
3699 | // constructors and member function | |
3700 | explicit | |
3701 | geometric_distribution(double __p = 0.5) | |
3702 | : _M_param(__p) | |
3703 | { } | |
3704 | ||
3705 | explicit | |
3706 | geometric_distribution(const param_type& __p) | |
3707 | : _M_param(__p) | |
3708 | { } | |
3709 | ||
3710 | /** | |
3711 | * @brief Resets the distribution state. | |
3712 | * | |
3713 | * Does nothing for the geometric distribution. | |
3714 | */ | |
3715 | void | |
3716 | reset() { } | |
3717 | ||
3718 | /** | |
3719 | * @brief Returns the distribution parameter @p p. | |
3720 | */ | |
3721 | double | |
3722 | p() const | |
3723 | { return _M_param.p(); } | |
3724 | ||
3725 | /** | |
3726 | * @brief Returns the parameter set of the distribution. | |
3727 | */ | |
3728 | param_type | |
3729 | param() const | |
3730 | { return _M_param; } | |
3731 | ||
3732 | /** | |
3733 | * @brief Sets the parameter set of the distribution. | |
3734 | * @param __param The new parameter set of the distribution. | |
3735 | */ | |
3736 | void | |
3737 | param(const param_type& __param) | |
3738 | { _M_param = __param; } | |
3739 | ||
3740 | /** | |
3741 | * @brief Returns the greatest lower bound value of the distribution. | |
3742 | */ | |
3743 | result_type | |
3744 | min() const | |
3745 | { return 0; } | |
3746 | ||
3747 | /** | |
3748 | * @brief Returns the least upper bound value of the distribution. | |
3749 | */ | |
3750 | result_type | |
3751 | max() const | |
3752 | { return std::numeric_limits<result_type>::max(); } | |
3753 | ||
247d8075 PC |
3754 | /** |
3755 | * @brief Generating functions. | |
3756 | */ | |
8e79468d BK |
3757 | template<typename _UniformRandomNumberGenerator> |
3758 | result_type | |
3759 | operator()(_UniformRandomNumberGenerator& __urng) | |
3760 | { return this->operator()(__urng, this->param()); } | |
3761 | ||
3762 | template<typename _UniformRandomNumberGenerator> | |
3763 | result_type | |
3764 | operator()(_UniformRandomNumberGenerator& __urng, | |
3765 | const param_type& __p); | |
3766 | ||
3767 | private: | |
3768 | param_type _M_param; | |
3769 | }; | |
3770 | ||
fc05e1ba PC |
3771 | /** |
3772 | * @brief Return true if two geometric distributions have | |
3773 | * the same parameters. | |
3774 | */ | |
3775 | template<typename _IntType> | |
3776 | inline bool | |
3777 | operator==(const std::geometric_distribution<_IntType>& __d1, | |
3778 | const std::geometric_distribution<_IntType>& __d2) | |
3779 | { return __d1.param() == __d2.param(); } | |
3780 | ||
3781 | /** | |
3782 | * @brief Return true if two geometric distributions have | |
3783 | * different parameters. | |
3784 | */ | |
3785 | template<typename _IntType> | |
3786 | inline bool | |
3787 | operator!=(const std::geometric_distribution<_IntType>& __d1, | |
3788 | const std::geometric_distribution<_IntType>& __d2) | |
3789 | { return !(__d1 == __d2); } | |
3790 | ||
8e79468d BK |
3791 | /** |
3792 | * @brief Inserts a %geometric_distribution random number distribution | |
3793 | * @p __x into the output stream @p __os. | |
3794 | * | |
3795 | * @param __os An output stream. | |
3796 | * @param __x A %geometric_distribution random number distribution. | |
3797 | * | |
3798 | * @returns The output stream with the state of @p __x inserted or in | |
3799 | * an error state. | |
3800 | */ | |
3801 | template<typename _IntType, | |
3802 | typename _CharT, typename _Traits> | |
3803 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3804 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3805 | const std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
3806 | |
3807 | /** | |
3808 | * @brief Extracts a %geometric_distribution random number distribution | |
3809 | * @p __x from the input stream @p __is. | |
3810 | * | |
3811 | * @param __is An input stream. | |
3812 | * @param __x A %geometric_distribution random number generator engine. | |
3813 | * | |
3814 | * @returns The input stream with @p __x extracted or in an error state. | |
3815 | */ | |
3816 | template<typename _IntType, | |
3817 | typename _CharT, typename _Traits> | |
3818 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3819 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3820 | std::geometric_distribution<_IntType>& __x); | |
8e79468d BK |
3821 | |
3822 | ||
3823 | /** | |
3824 | * @brief A negative_binomial_distribution random number distribution. | |
3825 | * | |
3826 | * The formula for the negative binomial probability mass function is | |
6cc5a790 BK |
3827 | * @f$p(i) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$ |
3828 | * and @f$p@f$ are the parameters of the distribution. | |
8e79468d BK |
3829 | */ |
3830 | template<typename _IntType = int> | |
3831 | class negative_binomial_distribution | |
3832 | { | |
77e3c516 PC |
3833 | static_assert(std::is_integral<_IntType>::value, |
3834 | "template argument not an integral type"); | |
8e79468d BK |
3835 | |
3836 | public: | |
3837 | /** The type of the range of the distribution. */ | |
3838 | typedef _IntType result_type; | |
3839 | /** Parameter type. */ | |
3840 | struct param_type | |
3841 | { | |
3842 | typedef negative_binomial_distribution<_IntType> distribution_type; | |
3843 | ||
3844 | explicit | |
3845 | param_type(_IntType __k = 1, double __p = 0.5) | |
3846 | : _M_k(__k), _M_p(__p) | |
113b21bd PC |
3847 | { |
3848 | _GLIBCXX_DEBUG_ASSERT((_M_k > 0) && (_M_p > 0.0) && (_M_p <= 1.0)); | |
3849 | } | |
8e79468d BK |
3850 | |
3851 | _IntType | |
3852 | k() const | |
3853 | { return _M_k; } | |
3854 | ||
3855 | double | |
3856 | p() const | |
3857 | { return _M_p; } | |
3858 | ||
fc05e1ba PC |
3859 | friend bool |
3860 | operator==(const param_type& __p1, const param_type& __p2) | |
3861 | { return __p1._M_k == __p2._M_k && __p1._M_p == __p2._M_p; } | |
3862 | ||
8e79468d BK |
3863 | private: |
3864 | _IntType _M_k; | |
3865 | double _M_p; | |
3866 | }; | |
3867 | ||
3868 | explicit | |
3869 | negative_binomial_distribution(_IntType __k = 1, double __p = 0.5) | |
ff2e697a | 3870 | : _M_param(__k, __p), _M_gd(__k, (1.0 - __p) / __p) |
8e79468d BK |
3871 | { } |
3872 | ||
3873 | explicit | |
3874 | negative_binomial_distribution(const param_type& __p) | |
ff2e697a | 3875 | : _M_param(__p), _M_gd(__p.k(), (1.0 - __p.p()) / __p.p()) |
8e79468d BK |
3876 | { } |
3877 | ||
3878 | /** | |
3879 | * @brief Resets the distribution state. | |
3880 | */ | |
3881 | void | |
3882 | reset() | |
f9b09dec | 3883 | { _M_gd.reset(); } |
8e79468d BK |
3884 | |
3885 | /** | |
6cc5a790 | 3886 | * @brief Return the @f$k@f$ parameter of the distribution. |
8e79468d BK |
3887 | */ |
3888 | _IntType | |
3889 | k() const | |
3890 | { return _M_param.k(); } | |
3891 | ||
3892 | /** | |
6cc5a790 | 3893 | * @brief Return the @f$p@f$ parameter of the distribution. |
8e79468d BK |
3894 | */ |
3895 | double | |
3896 | p() const | |
3897 | { return _M_param.p(); } | |
3898 | ||
3899 | /** | |
3900 | * @brief Returns the parameter set of the distribution. | |
3901 | */ | |
3902 | param_type | |
3903 | param() const | |
3904 | { return _M_param; } | |
3905 | ||
3906 | /** | |
3907 | * @brief Sets the parameter set of the distribution. | |
3908 | * @param __param The new parameter set of the distribution. | |
3909 | */ | |
3910 | void | |
3911 | param(const param_type& __param) | |
3912 | { _M_param = __param; } | |
3913 | ||
3914 | /** | |
3915 | * @brief Returns the greatest lower bound value of the distribution. | |
3916 | */ | |
3917 | result_type | |
3918 | min() const | |
3919 | { return result_type(0); } | |
3920 | ||
3921 | /** | |
3922 | * @brief Returns the least upper bound value of the distribution. | |
3923 | */ | |
3924 | result_type | |
3925 | max() const | |
3926 | { return std::numeric_limits<result_type>::max(); } | |
3927 | ||
247d8075 PC |
3928 | /** |
3929 | * @brief Generating functions. | |
3930 | */ | |
8e79468d BK |
3931 | template<typename _UniformRandomNumberGenerator> |
3932 | result_type | |
f9b09dec | 3933 | operator()(_UniformRandomNumberGenerator& __urng); |
8e79468d BK |
3934 | |
3935 | template<typename _UniformRandomNumberGenerator> | |
3936 | result_type | |
3937 | operator()(_UniformRandomNumberGenerator& __urng, | |
3938 | const param_type& __p); | |
3939 | ||
fc05e1ba PC |
3940 | /** |
3941 | * @brief Return true if two negative binomial distributions have | |
3942 | * the same parameters and the sequences that would be | |
3943 | * generated are equal. | |
3944 | */ | |
a30e18c1 MG |
3945 | friend bool |
3946 | operator==(const negative_binomial_distribution& __d1, | |
3947 | const negative_binomial_distribution& __d2) | |
3948 | { return __d1.param() == __d2.param() && __d1._M_gd == __d2._M_gd; } | |
fc05e1ba | 3949 | |
e1923769 ESR |
3950 | /** |
3951 | * @brief Inserts a %negative_binomial_distribution random | |
3952 | * number distribution @p __x into the output stream @p __os. | |
3953 | * | |
3954 | * @param __os An output stream. | |
3955 | * @param __x A %negative_binomial_distribution random number | |
3956 | * distribution. | |
3957 | * | |
3958 | * @returns The output stream with the state of @p __x inserted or in | |
3959 | * an error state. | |
3960 | */ | |
3961 | template<typename _IntType1, typename _CharT, typename _Traits> | |
3962 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
3963 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
3964 | const std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 ESR |
3965 | |
3966 | /** | |
3967 | * @brief Extracts a %negative_binomial_distribution random number | |
3968 | * distribution @p __x from the input stream @p __is. | |
3969 | * | |
3970 | * @param __is An input stream. | |
3971 | * @param __x A %negative_binomial_distribution random number | |
3972 | * generator engine. | |
3973 | * | |
3974 | * @returns The input stream with @p __x extracted or in an error state. | |
3975 | */ | |
3976 | template<typename _IntType1, typename _CharT, typename _Traits> | |
3977 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
3978 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
3979 | std::negative_binomial_distribution<_IntType1>& __x); | |
e1923769 | 3980 | |
8e79468d BK |
3981 | private: |
3982 | param_type _M_param; | |
f9b09dec PC |
3983 | |
3984 | std::gamma_distribution<double> _M_gd; | |
8e79468d BK |
3985 | }; |
3986 | ||
fc05e1ba PC |
3987 | /** |
3988 | * @brief Return true if two negative binomial distributions are different. | |
3989 | */ | |
3990 | template<typename _IntType> | |
3991 | inline bool | |
3992 | operator!=(const std::negative_binomial_distribution<_IntType>& __d1, | |
3993 | const std::negative_binomial_distribution<_IntType>& __d2) | |
3994 | { return !(__d1 == __d2); } | |
3995 | ||
3996 | ||
037181bc | 3997 | /* @} */ // group random_distributions_bernoulli |
8e79468d BK |
3998 | |
3999 | /** | |
94a86be0 | 4000 | * @addtogroup random_distributions_poisson Poisson Distributions |
037181bc | 4001 | * @ingroup random_distributions |
8e79468d BK |
4002 | * @{ |
4003 | */ | |
4004 | ||
4005 | /** | |
4006 | * @brief A discrete Poisson random number distribution. | |
4007 | * | |
4008 | * The formula for the Poisson probability density function is | |
6cc5a790 | 4009 | * @f$p(i|\mu) = \frac{\mu^i}{i!} e^{-\mu}@f$ where @f$\mu@f$ is the |
8e79468d BK |
4010 | * parameter of the distribution. |
4011 | */ | |
4012 | template<typename _IntType = int> | |
4013 | class poisson_distribution | |
4014 | { | |
77e3c516 PC |
4015 | static_assert(std::is_integral<_IntType>::value, |
4016 | "template argument not an integral type"); | |
8e79468d BK |
4017 | |
4018 | public: | |
4019 | /** The type of the range of the distribution. */ | |
4020 | typedef _IntType result_type; | |
4021 | /** Parameter type. */ | |
4022 | struct param_type | |
4023 | { | |
4024 | typedef poisson_distribution<_IntType> distribution_type; | |
4025 | friend class poisson_distribution<_IntType>; | |
4026 | ||
4027 | explicit | |
4028 | param_type(double __mean = 1.0) | |
4029 | : _M_mean(__mean) | |
4030 | { | |
4031 | _GLIBCXX_DEBUG_ASSERT(_M_mean > 0.0); | |
4032 | _M_initialize(); | |
4033 | } | |
4034 | ||
4035 | double | |
4036 | mean() const | |
4037 | { return _M_mean; } | |
4038 | ||
fc05e1ba PC |
4039 | friend bool |
4040 | operator==(const param_type& __p1, const param_type& __p2) | |
4041 | { return __p1._M_mean == __p2._M_mean; } | |
4042 | ||
8e79468d BK |
4043 | private: |
4044 | // Hosts either log(mean) or the threshold of the simple method. | |
4045 | void | |
4046 | _M_initialize(); | |
4047 | ||
4048 | double _M_mean; | |
4049 | ||
4050 | double _M_lm_thr; | |
4051 | #if _GLIBCXX_USE_C99_MATH_TR1 | |
4052 | double _M_lfm, _M_sm, _M_d, _M_scx, _M_1cx, _M_c2b, _M_cb; | |
4053 | #endif | |
4054 | }; | |
4055 | ||
4056 | // constructors and member function | |
4057 | explicit | |
4058 | poisson_distribution(double __mean = 1.0) | |
4059 | : _M_param(__mean), _M_nd() | |
4060 | { } | |
4061 | ||
4062 | explicit | |
4063 | poisson_distribution(const param_type& __p) | |
4064 | : _M_param(__p), _M_nd() | |
4065 | { } | |
4066 | ||
4067 | /** | |
4068 | * @brief Resets the distribution state. | |
4069 | */ | |
4070 | void | |
4071 | reset() | |
4072 | { _M_nd.reset(); } | |
4073 | ||
4074 | /** | |
4075 | * @brief Returns the distribution parameter @p mean. | |
4076 | */ | |
4077 | double | |
4078 | mean() const | |
4079 | { return _M_param.mean(); } | |
4080 | ||
4081 | /** | |
4082 | * @brief Returns the parameter set of the distribution. | |
4083 | */ | |
4084 | param_type | |
4085 | param() const | |
4086 | { return _M_param; } | |
4087 | ||
4088 | /** | |
4089 | * @brief Sets the parameter set of the distribution. | |
4090 | * @param __param The new parameter set of the distribution. | |
4091 | */ | |
4092 | void | |
4093 | param(const param_type& __param) | |
4094 | { _M_param = __param; } | |
4095 | ||
4096 | /** | |
4097 | * @brief Returns the greatest lower bound value of the distribution. | |
4098 | */ | |
4099 | result_type | |
4100 | min() const | |
4101 | { return 0; } | |
4102 | ||
4103 | /** | |
4104 | * @brief Returns the least upper bound value of the distribution. | |
4105 | */ | |
4106 | result_type | |
4107 | max() const | |
4108 | { return std::numeric_limits<result_type>::max(); } | |
4109 | ||
247d8075 PC |
4110 | /** |
4111 | * @brief Generating functions. | |
4112 | */ | |
8e79468d BK |
4113 | template<typename _UniformRandomNumberGenerator> |
4114 | result_type | |
4115 | operator()(_UniformRandomNumberGenerator& __urng) | |
4116 | { return this->operator()(__urng, this->param()); } | |
4117 | ||
4118 | template<typename _UniformRandomNumberGenerator> | |
4119 | result_type | |
4120 | operator()(_UniformRandomNumberGenerator& __urng, | |
4121 | const param_type& __p); | |
4122 | ||
fc05e1ba PC |
4123 | /** |
4124 | * @brief Return true if two Poisson distributions have the same | |
4125 | * parameters and the sequences that would be generated | |
4126 | * are equal. | |
4127 | */ | |
a30e18c1 MG |
4128 | friend bool |
4129 | operator==(const poisson_distribution& __d1, | |
4130 | const poisson_distribution& __d2) | |
fc05e1ba | 4131 | #ifdef _GLIBCXX_USE_C99_MATH_TR1 |
a30e18c1 | 4132 | { return __d1.param() == __d2.param() && __d1._M_nd == __d2._M_nd; } |
fc05e1ba | 4133 | #else |
a30e18c1 | 4134 | { return __d1.param() == __d2.param(); } |
fc05e1ba PC |
4135 | #endif |
4136 | ||
8e79468d BK |
4137 | /** |
4138 | * @brief Inserts a %poisson_distribution random number distribution | |
4139 | * @p __x into the output stream @p __os. | |
4140 | * | |
4141 | * @param __os An output stream. | |
4142 | * @param __x A %poisson_distribution random number distribution. | |
4143 | * | |
4144 | * @returns The output stream with the state of @p __x inserted or in | |
4145 | * an error state. | |
4146 | */ | |
4147 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4148 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4149 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4150 | const std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4151 | |
4152 | /** | |
4153 | * @brief Extracts a %poisson_distribution random number distribution | |
4154 | * @p __x from the input stream @p __is. | |
4155 | * | |
4156 | * @param __is An input stream. | |
4157 | * @param __x A %poisson_distribution random number generator engine. | |
4158 | * | |
4159 | * @returns The input stream with @p __x extracted or in an error | |
4160 | * state. | |
4161 | */ | |
4162 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4163 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4164 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4165 | std::poisson_distribution<_IntType1>& __x); | |
8e79468d BK |
4166 | |
4167 | private: | |
4168 | param_type _M_param; | |
4169 | ||
4170 | // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. | |
f9b09dec | 4171 | std::normal_distribution<double> _M_nd; |
8e79468d BK |
4172 | }; |
4173 | ||
fc05e1ba PC |
4174 | /** |
4175 | * @brief Return true if two Poisson distributions are different. | |
4176 | */ | |
4177 | template<typename _IntType> | |
4178 | inline bool | |
4179 | operator!=(const std::poisson_distribution<_IntType>& __d1, | |
4180 | const std::poisson_distribution<_IntType>& __d2) | |
4181 | { return !(__d1 == __d2); } | |
4182 | ||
4183 | ||
8e79468d BK |
4184 | /** |
4185 | * @brief An exponential continuous distribution for random numbers. | |
4186 | * | |
4187 | * The formula for the exponential probability density function is | |
6cc5a790 | 4188 | * @f$p(x|\lambda) = \lambda e^{-\lambda x}@f$. |
8e79468d BK |
4189 | * |
4190 | * <table border=1 cellpadding=10 cellspacing=0> | |
4191 | * <caption align=top>Distribution Statistics</caption> | |
6cc5a790 BK |
4192 | * <tr><td>Mean</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
4193 | * <tr><td>Median</td><td>@f$\frac{\ln 2}{\lambda}@f$</td></tr> | |
4194 | * <tr><td>Mode</td><td>@f$zero@f$</td></tr> | |
8e79468d | 4195 | * <tr><td>Range</td><td>@f$[0, \infty]@f$</td></tr> |
6cc5a790 | 4196 | * <tr><td>Standard Deviation</td><td>@f$\frac{1}{\lambda}@f$</td></tr> |
8e79468d BK |
4197 | * </table> |
4198 | */ | |
4199 | template<typename _RealType = double> | |
4200 | class exponential_distribution | |
4201 | { | |
77e3c516 PC |
4202 | static_assert(std::is_floating_point<_RealType>::value, |
4203 | "template argument not a floating point type"); | |
4204 | ||
8e79468d BK |
4205 | public: |
4206 | /** The type of the range of the distribution. */ | |
4207 | typedef _RealType result_type; | |
4208 | /** Parameter type. */ | |
4209 | struct param_type | |
4210 | { | |
4211 | typedef exponential_distribution<_RealType> distribution_type; | |
4212 | ||
4213 | explicit | |
4214 | param_type(_RealType __lambda = _RealType(1)) | |
4215 | : _M_lambda(__lambda) | |
4216 | { | |
4217 | _GLIBCXX_DEBUG_ASSERT(_M_lambda > _RealType(0)); | |
4218 | } | |
4219 | ||
4220 | _RealType | |
4221 | lambda() const | |
4222 | { return _M_lambda; } | |
4223 | ||
fc05e1ba PC |
4224 | friend bool |
4225 | operator==(const param_type& __p1, const param_type& __p2) | |
4226 | { return __p1._M_lambda == __p2._M_lambda; } | |
4227 | ||
8e79468d BK |
4228 | private: |
4229 | _RealType _M_lambda; | |
4230 | }; | |
4231 | ||
4232 | public: | |
4233 | /** | |
4234 | * @brief Constructs an exponential distribution with inverse scale | |
6cc5a790 | 4235 | * parameter @f$\lambda@f$. |
8e79468d BK |
4236 | */ |
4237 | explicit | |
4238 | exponential_distribution(const result_type& __lambda = result_type(1)) | |
4239 | : _M_param(__lambda) | |
4240 | { } | |
4241 | ||
4242 | explicit | |
4243 | exponential_distribution(const param_type& __p) | |
4244 | : _M_param(__p) | |
4245 | { } | |
4246 | ||
4247 | /** | |
4248 | * @brief Resets the distribution state. | |
4249 | * | |
4250 | * Has no effect on exponential distributions. | |
4251 | */ | |
4252 | void | |
4253 | reset() { } | |
4254 | ||
4255 | /** | |
4256 | * @brief Returns the inverse scale parameter of the distribution. | |
4257 | */ | |
4258 | _RealType | |
4259 | lambda() const | |
4260 | { return _M_param.lambda(); } | |
4261 | ||
4262 | /** | |
4263 | * @brief Returns the parameter set of the distribution. | |
4264 | */ | |
4265 | param_type | |
4266 | param() const | |
4267 | { return _M_param; } | |
4268 | ||
4269 | /** | |
4270 | * @brief Sets the parameter set of the distribution. | |
4271 | * @param __param The new parameter set of the distribution. | |
4272 | */ | |
4273 | void | |
4274 | param(const param_type& __param) | |
4275 | { _M_param = __param; } | |
4276 | ||
4277 | /** | |
4278 | * @brief Returns the greatest lower bound value of the distribution. | |
4279 | */ | |
4280 | result_type | |
4281 | min() const | |
4282 | { return result_type(0); } | |
4283 | ||
4284 | /** | |
4285 | * @brief Returns the least upper bound value of the distribution. | |
4286 | */ | |
4287 | result_type | |
4288 | max() const | |
4289 | { return std::numeric_limits<result_type>::max(); } | |
4290 | ||
247d8075 PC |
4291 | /** |
4292 | * @brief Generating functions. | |
4293 | */ | |
8e79468d BK |
4294 | template<typename _UniformRandomNumberGenerator> |
4295 | result_type | |
4296 | operator()(_UniformRandomNumberGenerator& __urng) | |
b01630bb | 4297 | { return this->operator()(__urng, this->param()); } |
8e79468d BK |
4298 | |
4299 | template<typename _UniformRandomNumberGenerator> | |
4300 | result_type | |
4301 | operator()(_UniformRandomNumberGenerator& __urng, | |
4302 | const param_type& __p) | |
4303 | { | |
4304 | __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> | |
4305 | __aurng(__urng); | |
4306 | return -std::log(__aurng()) / __p.lambda(); | |
4307 | } | |
4308 | ||
4309 | private: | |
4310 | param_type _M_param; | |
4311 | }; | |
4312 | ||
fc05e1ba PC |
4313 | /** |
4314 | * @brief Return true if two exponential distributions have the same | |
4315 | * parameters. | |
4316 | */ | |
4317 | template<typename _RealType> | |
4318 | inline bool | |
4319 | operator==(const std::exponential_distribution<_RealType>& __d1, | |
4320 | const std::exponential_distribution<_RealType>& __d2) | |
4321 | { return __d1.param() == __d2.param(); } | |
4322 | ||
4323 | /** | |
4324 | * @brief Return true if two exponential distributions have different | |
4325 | * parameters. | |
4326 | */ | |
4327 | template<typename _RealType> | |
4328 | inline bool | |
4329 | operator!=(const std::exponential_distribution<_RealType>& __d1, | |
4330 | const std::exponential_distribution<_RealType>& __d2) | |
4331 | { return !(__d1 == __d2); } | |
4332 | ||
8e79468d BK |
4333 | /** |
4334 | * @brief Inserts a %exponential_distribution random number distribution | |
4335 | * @p __x into the output stream @p __os. | |
4336 | * | |
4337 | * @param __os An output stream. | |
4338 | * @param __x A %exponential_distribution random number distribution. | |
4339 | * | |
4340 | * @returns The output stream with the state of @p __x inserted or in | |
4341 | * an error state. | |
4342 | */ | |
4343 | template<typename _RealType, typename _CharT, typename _Traits> | |
4344 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4345 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4346 | const std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4347 | |
4348 | /** | |
4349 | * @brief Extracts a %exponential_distribution random number distribution | |
4350 | * @p __x from the input stream @p __is. | |
4351 | * | |
4352 | * @param __is An input stream. | |
4353 | * @param __x A %exponential_distribution random number | |
4354 | * generator engine. | |
4355 | * | |
4356 | * @returns The input stream with @p __x extracted or in an error state. | |
4357 | */ | |
4358 | template<typename _RealType, typename _CharT, typename _Traits> | |
4359 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4360 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4361 | std::exponential_distribution<_RealType>& __x); | |
8e79468d BK |
4362 | |
4363 | ||
8e79468d BK |
4364 | /** |
4365 | * @brief A weibull_distribution random number distribution. | |
4366 | * | |
6cc5a790 BK |
4367 | * The formula for the normal probability density function is: |
4368 | * @f[ | |
4369 | * p(x|\alpha,\beta) = \frac{\alpha}{\beta} (\frac{x}{\beta})^{\alpha-1} | |
4370 | * \exp{(-(\frac{x}{\beta})^\alpha)} | |
4371 | * @f] | |
8e79468d BK |
4372 | */ |
4373 | template<typename _RealType = double> | |
4374 | class weibull_distribution | |
4375 | { | |
77e3c516 PC |
4376 | static_assert(std::is_floating_point<_RealType>::value, |
4377 | "template argument not a floating point type"); | |
4378 | ||
8e79468d BK |
4379 | public: |
4380 | /** The type of the range of the distribution. */ | |
4381 | typedef _RealType result_type; | |
4382 | /** Parameter type. */ | |
4383 | struct param_type | |
4384 | { | |
4385 | typedef weibull_distribution<_RealType> distribution_type; | |
4386 | ||
4387 | explicit | |
4388 | param_type(_RealType __a = _RealType(1), | |
4389 | _RealType __b = _RealType(1)) | |
4390 | : _M_a(__a), _M_b(__b) | |
4391 | { } | |
4392 | ||
4393 | _RealType | |
4394 | a() const | |
4395 | { return _M_a; } | |
4396 | ||
4397 | _RealType | |
4398 | b() const | |
4399 | { return _M_b; } | |
4400 | ||
fc05e1ba PC |
4401 | friend bool |
4402 | operator==(const param_type& __p1, const param_type& __p2) | |
4403 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
4404 | ||
8e79468d BK |
4405 | private: |
4406 | _RealType _M_a; | |
4407 | _RealType _M_b; | |
4408 | }; | |
4409 | ||
4410 | explicit | |
4411 | weibull_distribution(_RealType __a = _RealType(1), | |
4412 | _RealType __b = _RealType(1)) | |
4413 | : _M_param(__a, __b) | |
4414 | { } | |
4415 | ||
4416 | explicit | |
4417 | weibull_distribution(const param_type& __p) | |
4418 | : _M_param(__p) | |
4419 | { } | |
4420 | ||
4421 | /** | |
4422 | * @brief Resets the distribution state. | |
4423 | */ | |
4424 | void | |
4425 | reset() | |
4426 | { } | |
4427 | ||
4428 | /** | |
6cc5a790 | 4429 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
4430 | */ |
4431 | _RealType | |
4432 | a() const | |
4433 | { return _M_param.a(); } | |
4434 | ||
4435 | /** | |
6cc5a790 | 4436 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
4437 | */ |
4438 | _RealType | |
4439 | b() const | |
4440 | { return _M_param.b(); } | |
4441 | ||
4442 | /** | |
4443 | * @brief Returns the parameter set of the distribution. | |
4444 | */ | |
4445 | param_type | |
4446 | param() const | |
4447 | { return _M_param; } | |
4448 | ||
4449 | /** | |
4450 | * @brief Sets the parameter set of the distribution. | |
4451 | * @param __param The new parameter set of the distribution. | |
4452 | */ | |
4453 | void | |
4454 | param(const param_type& __param) | |
4455 | { _M_param = __param; } | |
4456 | ||
4457 | /** | |
4458 | * @brief Returns the greatest lower bound value of the distribution. | |
4459 | */ | |
4460 | result_type | |
4461 | min() const | |
4462 | { return result_type(0); } | |
4463 | ||
4464 | /** | |
4465 | * @brief Returns the least upper bound value of the distribution. | |
4466 | */ | |
4467 | result_type | |
4468 | max() const | |
4469 | { return std::numeric_limits<result_type>::max(); } | |
4470 | ||
247d8075 PC |
4471 | /** |
4472 | * @brief Generating functions. | |
4473 | */ | |
8e79468d BK |
4474 | template<typename _UniformRandomNumberGenerator> |
4475 | result_type | |
4476 | operator()(_UniformRandomNumberGenerator& __urng) | |
4477 | { return this->operator()(__urng, this->param()); } | |
4478 | ||
4479 | template<typename _UniformRandomNumberGenerator> | |
4480 | result_type | |
4481 | operator()(_UniformRandomNumberGenerator& __urng, | |
b01630bb | 4482 | const param_type& __p); |
8e79468d BK |
4483 | |
4484 | private: | |
4485 | param_type _M_param; | |
4486 | }; | |
4487 | ||
fc05e1ba PC |
4488 | /** |
4489 | * @brief Return true if two Weibull distributions have the same | |
4490 | * parameters. | |
4491 | */ | |
4492 | template<typename _RealType> | |
4493 | inline bool | |
4494 | operator==(const std::weibull_distribution<_RealType>& __d1, | |
4495 | const std::weibull_distribution<_RealType>& __d2) | |
4496 | { return __d1.param() == __d2.param(); } | |
4497 | ||
4498 | /** | |
4499 | * @brief Return true if two Weibull distributions have different | |
4500 | * parameters. | |
4501 | */ | |
4502 | template<typename _RealType> | |
4503 | inline bool | |
4504 | operator!=(const std::weibull_distribution<_RealType>& __d1, | |
4505 | const std::weibull_distribution<_RealType>& __d2) | |
4506 | { return !(__d1 == __d2); } | |
4507 | ||
8e79468d BK |
4508 | /** |
4509 | * @brief Inserts a %weibull_distribution random number distribution | |
4510 | * @p __x into the output stream @p __os. | |
4511 | * | |
4512 | * @param __os An output stream. | |
4513 | * @param __x A %weibull_distribution random number distribution. | |
4514 | * | |
4515 | * @returns The output stream with the state of @p __x inserted or in | |
4516 | * an error state. | |
4517 | */ | |
4518 | template<typename _RealType, typename _CharT, typename _Traits> | |
4519 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4520 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4521 | const std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
4522 | |
4523 | /** | |
4524 | * @brief Extracts a %weibull_distribution random number distribution | |
4525 | * @p __x from the input stream @p __is. | |
4526 | * | |
4527 | * @param __is An input stream. | |
4528 | * @param __x A %weibull_distribution random number | |
4529 | * generator engine. | |
4530 | * | |
4531 | * @returns The input stream with @p __x extracted or in an error state. | |
4532 | */ | |
4533 | template<typename _RealType, typename _CharT, typename _Traits> | |
4534 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4535 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4536 | std::weibull_distribution<_RealType>& __x); | |
8e79468d BK |
4537 | |
4538 | ||
4539 | /** | |
4540 | * @brief A extreme_value_distribution random number distribution. | |
4541 | * | |
4542 | * The formula for the normal probability mass function is | |
6cc5a790 BK |
4543 | * @f[ |
4544 | * p(x|a,b) = \frac{1}{b} | |
4545 | * \exp( \frac{a-x}{b} - \exp(\frac{a-x}{b})) | |
4546 | * @f] | |
8e79468d BK |
4547 | */ |
4548 | template<typename _RealType = double> | |
4549 | class extreme_value_distribution | |
4550 | { | |
77e3c516 PC |
4551 | static_assert(std::is_floating_point<_RealType>::value, |
4552 | "template argument not a floating point type"); | |
4553 | ||
8e79468d BK |
4554 | public: |
4555 | /** The type of the range of the distribution. */ | |
4556 | typedef _RealType result_type; | |
4557 | /** Parameter type. */ | |
4558 | struct param_type | |
4559 | { | |
4560 | typedef extreme_value_distribution<_RealType> distribution_type; | |
4561 | ||
4562 | explicit | |
4563 | param_type(_RealType __a = _RealType(0), | |
4564 | _RealType __b = _RealType(1)) | |
4565 | : _M_a(__a), _M_b(__b) | |
4566 | { } | |
4567 | ||
4568 | _RealType | |
4569 | a() const | |
4570 | { return _M_a; } | |
4571 | ||
4572 | _RealType | |
4573 | b() const | |
4574 | { return _M_b; } | |
4575 | ||
fc05e1ba PC |
4576 | friend bool |
4577 | operator==(const param_type& __p1, const param_type& __p2) | |
4578 | { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; } | |
4579 | ||
8e79468d BK |
4580 | private: |
4581 | _RealType _M_a; | |
4582 | _RealType _M_b; | |
4583 | }; | |
4584 | ||
4585 | explicit | |
4586 | extreme_value_distribution(_RealType __a = _RealType(0), | |
4587 | _RealType __b = _RealType(1)) | |
4588 | : _M_param(__a, __b) | |
4589 | { } | |
4590 | ||
4591 | explicit | |
4592 | extreme_value_distribution(const param_type& __p) | |
4593 | : _M_param(__p) | |
4594 | { } | |
4595 | ||
4596 | /** | |
4597 | * @brief Resets the distribution state. | |
4598 | */ | |
4599 | void | |
4600 | reset() | |
4601 | { } | |
4602 | ||
4603 | /** | |
6cc5a790 | 4604 | * @brief Return the @f$a@f$ parameter of the distribution. |
8e79468d BK |
4605 | */ |
4606 | _RealType | |
4607 | a() const | |
4608 | { return _M_param.a(); } | |
4609 | ||
4610 | /** | |
6cc5a790 | 4611 | * @brief Return the @f$b@f$ parameter of the distribution. |
8e79468d BK |
4612 | */ |
4613 | _RealType | |
4614 | b() const | |
4615 | { return _M_param.b(); } | |
4616 | ||
4617 | /** | |
4618 | * @brief Returns the parameter set of the distribution. | |
4619 | */ | |
4620 | param_type | |
4621 | param() const | |
4622 | { return _M_param; } | |
4623 | ||
4624 | /** | |
4625 | * @brief Sets the parameter set of the distribution. | |
4626 | * @param __param The new parameter set of the distribution. | |
4627 | */ | |
4628 | void | |
4629 | param(const param_type& __param) | |
4630 | { _M_param = __param; } | |
4631 | ||
4632 | /** | |
4633 | * @brief Returns the greatest lower bound value of the distribution. | |
4634 | */ | |
4635 | result_type | |
4636 | min() const | |
4637 | { return std::numeric_limits<result_type>::min(); } | |
4638 | ||
4639 | /** | |
4640 | * @brief Returns the least upper bound value of the distribution. | |
4641 | */ | |
4642 | result_type | |
4643 | max() const | |
4644 | { return std::numeric_limits<result_type>::max(); } | |
4645 | ||
247d8075 PC |
4646 | /** |
4647 | * @brief Generating functions. | |
4648 | */ | |
8e79468d BK |
4649 | template<typename _UniformRandomNumberGenerator> |
4650 | result_type | |
4651 | operator()(_UniformRandomNumberGenerator& __urng) | |
4652 | { return this->operator()(__urng, this->param()); } | |
4653 | ||
4654 | template<typename _UniformRandomNumberGenerator> | |
4655 | result_type | |
4656 | operator()(_UniformRandomNumberGenerator& __urng, | |
4657 | const param_type& __p); | |
4658 | ||
4659 | private: | |
4660 | param_type _M_param; | |
4661 | }; | |
4662 | ||
fc05e1ba PC |
4663 | /** |
4664 | * @brief Return true if two extreme value distributions have the same | |
4665 | * parameters. | |
4666 | */ | |
4667 | template<typename _RealType> | |
4668 | inline bool | |
4669 | operator==(const std::extreme_value_distribution<_RealType>& __d1, | |
4670 | const std::extreme_value_distribution<_RealType>& __d2) | |
4671 | { return __d1.param() == __d2.param(); } | |
4672 | ||
4673 | /** | |
4674 | * @brief Return true if two extreme value distributions have different | |
4675 | * parameters. | |
4676 | */ | |
4677 | template<typename _RealType> | |
4678 | inline bool | |
4679 | operator!=(const std::extreme_value_distribution<_RealType>& __d1, | |
4680 | const std::extreme_value_distribution<_RealType>& __d2) | |
4681 | { return !(__d1 == __d2); } | |
4682 | ||
8e79468d BK |
4683 | /** |
4684 | * @brief Inserts a %extreme_value_distribution random number distribution | |
4685 | * @p __x into the output stream @p __os. | |
4686 | * | |
4687 | * @param __os An output stream. | |
4688 | * @param __x A %extreme_value_distribution random number distribution. | |
4689 | * | |
4690 | * @returns The output stream with the state of @p __x inserted or in | |
4691 | * an error state. | |
4692 | */ | |
4693 | template<typename _RealType, typename _CharT, typename _Traits> | |
4694 | std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4695 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4696 | const std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
4697 | |
4698 | /** | |
4699 | * @brief Extracts a %extreme_value_distribution random number | |
4700 | * distribution @p __x from the input stream @p __is. | |
4701 | * | |
4702 | * @param __is An input stream. | |
4703 | * @param __x A %extreme_value_distribution random number | |
4704 | * generator engine. | |
4705 | * | |
4706 | * @returns The input stream with @p __x extracted or in an error state. | |
4707 | */ | |
4708 | template<typename _RealType, typename _CharT, typename _Traits> | |
4709 | std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4710 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4711 | std::extreme_value_distribution<_RealType>& __x); | |
8e79468d BK |
4712 | |
4713 | ||
4714 | /** | |
4715 | * @brief A discrete_distribution random number distribution. | |
4716 | * | |
4717 | * The formula for the discrete probability mass function is | |
4718 | * | |
4719 | */ | |
4720 | template<typename _IntType = int> | |
4721 | class discrete_distribution | |
4722 | { | |
77e3c516 PC |
4723 | static_assert(std::is_integral<_IntType>::value, |
4724 | "template argument not an integral type"); | |
8e79468d BK |
4725 | |
4726 | public: | |
4727 | /** The type of the range of the distribution. */ | |
4728 | typedef _IntType result_type; | |
4729 | /** Parameter type. */ | |
4730 | struct param_type | |
4731 | { | |
4732 | typedef discrete_distribution<_IntType> distribution_type; | |
4733 | friend class discrete_distribution<_IntType>; | |
4734 | ||
4735 | param_type() | |
879b9073 | 4736 | : _M_prob(), _M_cp() |
ce9555cb | 4737 | { } |
8e79468d BK |
4738 | |
4739 | template<typename _InputIterator> | |
4740 | param_type(_InputIterator __wbegin, | |
4741 | _InputIterator __wend) | |
4742 | : _M_prob(__wbegin, __wend), _M_cp() | |
4743 | { _M_initialize(); } | |
4744 | ||
4745 | param_type(initializer_list<double> __wil) | |
4746 | : _M_prob(__wil.begin(), __wil.end()), _M_cp() | |
4747 | { _M_initialize(); } | |
4748 | ||
4749 | template<typename _Func> | |
4750 | param_type(size_t __nw, double __xmin, double __xmax, | |
4751 | _Func __fw); | |
4752 | ||
ce9555cb PC |
4753 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
4754 | param_type(const param_type&) = default; | |
4755 | param_type& operator=(const param_type&) = default; | |
4756 | ||
8e79468d BK |
4757 | std::vector<double> |
4758 | probabilities() const | |
879b9073 | 4759 | { return _M_prob.empty() ? std::vector<double>(1, 1.0) : _M_prob; } |
8e79468d | 4760 | |
fc05e1ba PC |
4761 | friend bool |
4762 | operator==(const param_type& __p1, const param_type& __p2) | |
4763 | { return __p1._M_prob == __p2._M_prob; } | |
4764 | ||
8e79468d BK |
4765 | private: |
4766 | void | |
4767 | _M_initialize(); | |
4768 | ||
4769 | std::vector<double> _M_prob; | |
4770 | std::vector<double> _M_cp; | |
4771 | }; | |
4772 | ||
4773 | discrete_distribution() | |
4774 | : _M_param() | |
4775 | { } | |
4776 | ||
4777 | template<typename _InputIterator> | |
4778 | discrete_distribution(_InputIterator __wbegin, | |
4779 | _InputIterator __wend) | |
4780 | : _M_param(__wbegin, __wend) | |
4781 | { } | |
4782 | ||
f8dd9e0d PC |
4783 | discrete_distribution(initializer_list<double> __wl) |
4784 | : _M_param(__wl) | |
8e79468d BK |
4785 | { } |
4786 | ||
4787 | template<typename _Func> | |
4788 | discrete_distribution(size_t __nw, double __xmin, double __xmax, | |
4789 | _Func __fw) | |
4790 | : _M_param(__nw, __xmin, __xmax, __fw) | |
4791 | { } | |
4792 | ||
4793 | explicit | |
4794 | discrete_distribution(const param_type& __p) | |
4795 | : _M_param(__p) | |
4796 | { } | |
4797 | ||
4798 | /** | |
4799 | * @brief Resets the distribution state. | |
4800 | */ | |
4801 | void | |
4802 | reset() | |
4803 | { } | |
4804 | ||
4805 | /** | |
4806 | * @brief Returns the probabilities of the distribution. | |
4807 | */ | |
4808 | std::vector<double> | |
4809 | probabilities() const | |
879b9073 PC |
4810 | { |
4811 | return _M_param._M_prob.empty() | |
4812 | ? std::vector<double>(1, 1.0) : _M_param._M_prob; | |
4813 | } | |
8e79468d BK |
4814 | |
4815 | /** | |
4816 | * @brief Returns the parameter set of the distribution. | |
4817 | */ | |
4818 | param_type | |
4819 | param() const | |
4820 | { return _M_param; } | |
4821 | ||
4822 | /** | |
4823 | * @brief Sets the parameter set of the distribution. | |
4824 | * @param __param The new parameter set of the distribution. | |
4825 | */ | |
4826 | void | |
4827 | param(const param_type& __param) | |
4828 | { _M_param = __param; } | |
4829 | ||
4830 | /** | |
4831 | * @brief Returns the greatest lower bound value of the distribution. | |
4832 | */ | |
4833 | result_type | |
4834 | min() const | |
4835 | { return result_type(0); } | |
4836 | ||
4837 | /** | |
4838 | * @brief Returns the least upper bound value of the distribution. | |
4839 | */ | |
4840 | result_type | |
4841 | max() const | |
879b9073 PC |
4842 | { |
4843 | return _M_param._M_prob.empty() | |
4844 | ? result_type(0) : result_type(_M_param._M_prob.size() - 1); | |
4845 | } | |
8e79468d | 4846 | |
247d8075 PC |
4847 | /** |
4848 | * @brief Generating functions. | |
4849 | */ | |
8e79468d BK |
4850 | template<typename _UniformRandomNumberGenerator> |
4851 | result_type | |
4852 | operator()(_UniformRandomNumberGenerator& __urng) | |
4853 | { return this->operator()(__urng, this->param()); } | |
4854 | ||
4855 | template<typename _UniformRandomNumberGenerator> | |
4856 | result_type | |
4857 | operator()(_UniformRandomNumberGenerator& __urng, | |
4858 | const param_type& __p); | |
4859 | ||
4860 | /** | |
4861 | * @brief Inserts a %discrete_distribution random number distribution | |
4862 | * @p __x into the output stream @p __os. | |
4863 | * | |
4864 | * @param __os An output stream. | |
4865 | * @param __x A %discrete_distribution random number distribution. | |
4866 | * | |
4867 | * @returns The output stream with the state of @p __x inserted or in | |
4868 | * an error state. | |
4869 | */ | |
4870 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4871 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
4872 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
4873 | const std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
4874 | |
4875 | /** | |
4876 | * @brief Extracts a %discrete_distribution random number distribution | |
4877 | * @p __x from the input stream @p __is. | |
4878 | * | |
4879 | * @param __is An input stream. | |
4880 | * @param __x A %discrete_distribution random number | |
4881 | * generator engine. | |
4882 | * | |
4883 | * @returns The input stream with @p __x extracted or in an error | |
4884 | * state. | |
4885 | */ | |
4886 | template<typename _IntType1, typename _CharT, typename _Traits> | |
4887 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
4888 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
4889 | std::discrete_distribution<_IntType1>& __x); | |
8e79468d BK |
4890 | |
4891 | private: | |
4892 | param_type _M_param; | |
4893 | }; | |
4894 | ||
fc05e1ba PC |
4895 | /** |
4896 | * @brief Return true if two discrete distributions have the same | |
4897 | * parameters. | |
4898 | */ | |
4899 | template<typename _IntType> | |
4900 | inline bool | |
4901 | operator==(const std::discrete_distribution<_IntType>& __d1, | |
4902 | const std::discrete_distribution<_IntType>& __d2) | |
4903 | { return __d1.param() == __d2.param(); } | |
4904 | ||
4905 | /** | |
4906 | * @brief Return true if two discrete distributions have different | |
4907 | * parameters. | |
4908 | */ | |
4909 | template<typename _IntType> | |
4910 | inline bool | |
4911 | operator!=(const std::discrete_distribution<_IntType>& __d1, | |
4912 | const std::discrete_distribution<_IntType>& __d2) | |
4913 | { return !(__d1 == __d2); } | |
4914 | ||
8e79468d BK |
4915 | |
4916 | /** | |
4917 | * @brief A piecewise_constant_distribution random number distribution. | |
4918 | * | |
4919 | * The formula for the piecewise constant probability mass function is | |
4920 | * | |
4921 | */ | |
4922 | template<typename _RealType = double> | |
4923 | class piecewise_constant_distribution | |
4924 | { | |
77e3c516 PC |
4925 | static_assert(std::is_floating_point<_RealType>::value, |
4926 | "template argument not a floating point type"); | |
4927 | ||
8e79468d BK |
4928 | public: |
4929 | /** The type of the range of the distribution. */ | |
4930 | typedef _RealType result_type; | |
4931 | /** Parameter type. */ | |
4932 | struct param_type | |
4933 | { | |
4934 | typedef piecewise_constant_distribution<_RealType> distribution_type; | |
4935 | friend class piecewise_constant_distribution<_RealType>; | |
4936 | ||
b01630bb | 4937 | param_type() |
879b9073 PC |
4938 | : _M_int(), _M_den(), _M_cp() |
4939 | { } | |
8e79468d BK |
4940 | |
4941 | template<typename _InputIteratorB, typename _InputIteratorW> | |
4942 | param_type(_InputIteratorB __bfirst, | |
4943 | _InputIteratorB __bend, | |
4944 | _InputIteratorW __wbegin); | |
4945 | ||
4946 | template<typename _Func> | |
f8dd9e0d | 4947 | param_type(initializer_list<_RealType> __bi, _Func __fw); |
8e79468d BK |
4948 | |
4949 | template<typename _Func> | |
4950 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
4951 | _Func __fw); | |
4952 | ||
ce9555cb PC |
4953 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
4954 | param_type(const param_type&) = default; | |
4955 | param_type& operator=(const param_type&) = default; | |
4956 | ||
8e79468d BK |
4957 | std::vector<_RealType> |
4958 | intervals() const | |
879b9073 PC |
4959 | { |
4960 | if (_M_int.empty()) | |
4961 | { | |
4962 | std::vector<_RealType> __tmp(2); | |
4963 | __tmp[1] = _RealType(1); | |
4964 | return __tmp; | |
4965 | } | |
4966 | else | |
4967 | return _M_int; | |
4968 | } | |
8e79468d BK |
4969 | |
4970 | std::vector<double> | |
4971 | densities() const | |
879b9073 | 4972 | { return _M_den.empty() ? std::vector<double>(1, 1.0) : _M_den; } |
8e79468d | 4973 | |
fc05e1ba PC |
4974 | friend bool |
4975 | operator==(const param_type& __p1, const param_type& __p2) | |
4976 | { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; } | |
4977 | ||
8e79468d BK |
4978 | private: |
4979 | void | |
4980 | _M_initialize(); | |
4981 | ||
4982 | std::vector<_RealType> _M_int; | |
4983 | std::vector<double> _M_den; | |
4984 | std::vector<double> _M_cp; | |
4985 | }; | |
4986 | ||
4987 | explicit | |
4988 | piecewise_constant_distribution() | |
4989 | : _M_param() | |
4990 | { } | |
4991 | ||
4992 | template<typename _InputIteratorB, typename _InputIteratorW> | |
4993 | piecewise_constant_distribution(_InputIteratorB __bfirst, | |
4994 | _InputIteratorB __bend, | |
4995 | _InputIteratorW __wbegin) | |
4996 | : _M_param(__bfirst, __bend, __wbegin) | |
4997 | { } | |
4998 | ||
4999 | template<typename _Func> | |
f8dd9e0d | 5000 | piecewise_constant_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5001 | _Func __fw) |
f8dd9e0d | 5002 | : _M_param(__bl, __fw) |
8e79468d BK |
5003 | { } |
5004 | ||
5005 | template<typename _Func> | |
5006 | piecewise_constant_distribution(size_t __nw, | |
5007 | _RealType __xmin, _RealType __xmax, | |
5008 | _Func __fw) | |
5009 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5010 | { } | |
5011 | ||
5012 | explicit | |
5013 | piecewise_constant_distribution(const param_type& __p) | |
5014 | : _M_param(__p) | |
5015 | { } | |
5016 | ||
5017 | /** | |
5018 | * @brief Resets the distribution state. | |
5019 | */ | |
5020 | void | |
5021 | reset() | |
5022 | { } | |
5023 | ||
5024 | /** | |
5025 | * @brief Returns a vector of the intervals. | |
5026 | */ | |
5027 | std::vector<_RealType> | |
5028 | intervals() const | |
879b9073 PC |
5029 | { |
5030 | if (_M_param._M_int.empty()) | |
5031 | { | |
5032 | std::vector<_RealType> __tmp(2); | |
5033 | __tmp[1] = _RealType(1); | |
5034 | return __tmp; | |
5035 | } | |
5036 | else | |
5037 | return _M_param._M_int; | |
5038 | } | |
8e79468d BK |
5039 | |
5040 | /** | |
5041 | * @brief Returns a vector of the probability densities. | |
5042 | */ | |
5043 | std::vector<double> | |
5044 | densities() const | |
879b9073 PC |
5045 | { |
5046 | return _M_param._M_den.empty() | |
5047 | ? std::vector<double>(1, 1.0) : _M_param._M_den; | |
5048 | } | |
8e79468d BK |
5049 | |
5050 | /** | |
5051 | * @brief Returns the parameter set of the distribution. | |
5052 | */ | |
5053 | param_type | |
5054 | param() const | |
5055 | { return _M_param; } | |
5056 | ||
5057 | /** | |
5058 | * @brief Sets the parameter set of the distribution. | |
5059 | * @param __param The new parameter set of the distribution. | |
5060 | */ | |
5061 | void | |
5062 | param(const param_type& __param) | |
5063 | { _M_param = __param; } | |
5064 | ||
5065 | /** | |
5066 | * @brief Returns the greatest lower bound value of the distribution. | |
5067 | */ | |
5068 | result_type | |
5069 | min() const | |
879b9073 PC |
5070 | { |
5071 | return _M_param._M_int.empty() | |
5072 | ? result_type(0) : _M_param._M_int.front(); | |
5073 | } | |
8e79468d BK |
5074 | |
5075 | /** | |
5076 | * @brief Returns the least upper bound value of the distribution. | |
5077 | */ | |
5078 | result_type | |
5079 | max() const | |
879b9073 PC |
5080 | { |
5081 | return _M_param._M_int.empty() | |
5082 | ? result_type(1) : _M_param._M_int.back(); | |
5083 | } | |
8e79468d | 5084 | |
247d8075 PC |
5085 | /** |
5086 | * @brief Generating functions. | |
5087 | */ | |
8e79468d BK |
5088 | template<typename _UniformRandomNumberGenerator> |
5089 | result_type | |
5090 | operator()(_UniformRandomNumberGenerator& __urng) | |
5091 | { return this->operator()(__urng, this->param()); } | |
5092 | ||
5093 | template<typename _UniformRandomNumberGenerator> | |
5094 | result_type | |
5095 | operator()(_UniformRandomNumberGenerator& __urng, | |
5096 | const param_type& __p); | |
5097 | ||
5098 | /** | |
5099 | * @brief Inserts a %piecewise_constan_distribution random | |
5100 | * number distribution @p __x into the output stream @p __os. | |
5101 | * | |
5102 | * @param __os An output stream. | |
5103 | * @param __x A %piecewise_constan_distribution random number | |
5104 | * distribution. | |
5105 | * | |
5106 | * @returns The output stream with the state of @p __x inserted or in | |
5107 | * an error state. | |
5108 | */ | |
5109 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5110 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5111 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5112 | const std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5113 | |
5114 | /** | |
5115 | * @brief Extracts a %piecewise_constan_distribution random | |
5116 | * number distribution @p __x from the input stream @p __is. | |
5117 | * | |
5118 | * @param __is An input stream. | |
5119 | * @param __x A %piecewise_constan_distribution random number | |
5120 | * generator engine. | |
5121 | * | |
5122 | * @returns The input stream with @p __x extracted or in an error | |
5123 | * state. | |
5124 | */ | |
5125 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5126 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5127 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5128 | std::piecewise_constant_distribution<_RealType1>& __x); | |
8e79468d BK |
5129 | |
5130 | private: | |
5131 | param_type _M_param; | |
5132 | }; | |
5133 | ||
fc05e1ba PC |
5134 | /** |
5135 | * @brief Return true if two piecewise constant distributions have the | |
5136 | * same parameters. | |
5137 | */ | |
5138 | template<typename _RealType> | |
5139 | inline bool | |
5140 | operator==(const std::piecewise_constant_distribution<_RealType>& __d1, | |
5141 | const std::piecewise_constant_distribution<_RealType>& __d2) | |
5142 | { return __d1.param() == __d2.param(); } | |
5143 | ||
5144 | /** | |
5145 | * @brief Return true if two piecewise constant distributions have | |
5146 | * different parameters. | |
5147 | */ | |
5148 | template<typename _RealType> | |
5149 | inline bool | |
5150 | operator!=(const std::piecewise_constant_distribution<_RealType>& __d1, | |
5151 | const std::piecewise_constant_distribution<_RealType>& __d2) | |
5152 | { return !(__d1 == __d2); } | |
5153 | ||
8e79468d BK |
5154 | |
5155 | /** | |
5156 | * @brief A piecewise_linear_distribution random number distribution. | |
5157 | * | |
5158 | * The formula for the piecewise linear probability mass function is | |
5159 | * | |
5160 | */ | |
5161 | template<typename _RealType = double> | |
5162 | class piecewise_linear_distribution | |
5163 | { | |
77e3c516 PC |
5164 | static_assert(std::is_floating_point<_RealType>::value, |
5165 | "template argument not a floating point type"); | |
5166 | ||
8e79468d BK |
5167 | public: |
5168 | /** The type of the range of the distribution. */ | |
5169 | typedef _RealType result_type; | |
5170 | /** Parameter type. */ | |
5171 | struct param_type | |
5172 | { | |
5173 | typedef piecewise_linear_distribution<_RealType> distribution_type; | |
5174 | friend class piecewise_linear_distribution<_RealType>; | |
5175 | ||
f8dd9e0d | 5176 | param_type() |
879b9073 PC |
5177 | : _M_int(), _M_den(), _M_cp(), _M_m() |
5178 | { } | |
8e79468d BK |
5179 | |
5180 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5181 | param_type(_InputIteratorB __bfirst, | |
5182 | _InputIteratorB __bend, | |
5183 | _InputIteratorW __wbegin); | |
5184 | ||
5185 | template<typename _Func> | |
f8dd9e0d | 5186 | param_type(initializer_list<_RealType> __bl, _Func __fw); |
8e79468d BK |
5187 | |
5188 | template<typename _Func> | |
5189 | param_type(size_t __nw, _RealType __xmin, _RealType __xmax, | |
5190 | _Func __fw); | |
5191 | ||
ce9555cb PC |
5192 | // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/ |
5193 | param_type(const param_type&) = default; | |
5194 | param_type& operator=(const param_type&) = default; | |
5195 | ||
8e79468d BK |
5196 | std::vector<_RealType> |
5197 | intervals() const | |
879b9073 PC |
5198 | { |
5199 | if (_M_int.empty()) | |
5200 | { | |
5201 | std::vector<_RealType> __tmp(2); | |
5202 | __tmp[1] = _RealType(1); | |
5203 | return __tmp; | |
5204 | } | |
5205 | else | |
5206 | return _M_int; | |
5207 | } | |
8e79468d BK |
5208 | |
5209 | std::vector<double> | |
5210 | densities() const | |
879b9073 | 5211 | { return _M_den.empty() ? std::vector<double>(2, 1.0) : _M_den; } |
8e79468d | 5212 | |
fc05e1ba PC |
5213 | friend bool |
5214 | operator==(const param_type& __p1, const param_type& __p2) | |
5215 | { return (__p1._M_int == __p2._M_int | |
5216 | && __p1._M_den == __p2._M_den); } | |
5217 | ||
8e79468d BK |
5218 | private: |
5219 | void | |
5220 | _M_initialize(); | |
5221 | ||
5222 | std::vector<_RealType> _M_int; | |
5223 | std::vector<double> _M_den; | |
5224 | std::vector<double> _M_cp; | |
5225 | std::vector<double> _M_m; | |
5226 | }; | |
5227 | ||
5228 | explicit | |
5229 | piecewise_linear_distribution() | |
5230 | : _M_param() | |
5231 | { } | |
5232 | ||
5233 | template<typename _InputIteratorB, typename _InputIteratorW> | |
5234 | piecewise_linear_distribution(_InputIteratorB __bfirst, | |
5235 | _InputIteratorB __bend, | |
5236 | _InputIteratorW __wbegin) | |
5237 | : _M_param(__bfirst, __bend, __wbegin) | |
5238 | { } | |
5239 | ||
5240 | template<typename _Func> | |
f8dd9e0d | 5241 | piecewise_linear_distribution(initializer_list<_RealType> __bl, |
8e79468d | 5242 | _Func __fw) |
f8dd9e0d | 5243 | : _M_param(__bl, __fw) |
8e79468d BK |
5244 | { } |
5245 | ||
5246 | template<typename _Func> | |
5247 | piecewise_linear_distribution(size_t __nw, | |
5248 | _RealType __xmin, _RealType __xmax, | |
5249 | _Func __fw) | |
5250 | : _M_param(__nw, __xmin, __xmax, __fw) | |
5251 | { } | |
5252 | ||
5253 | explicit | |
5254 | piecewise_linear_distribution(const param_type& __p) | |
5255 | : _M_param(__p) | |
5256 | { } | |
5257 | ||
5258 | /** | |
5259 | * Resets the distribution state. | |
5260 | */ | |
5261 | void | |
5262 | reset() | |
5263 | { } | |
5264 | ||
5265 | /** | |
5266 | * @brief Return the intervals of the distribution. | |
5267 | */ | |
5268 | std::vector<_RealType> | |
5269 | intervals() const | |
879b9073 PC |
5270 | { |
5271 | if (_M_param._M_int.empty()) | |
5272 | { | |
5273 | std::vector<_RealType> __tmp(2); | |
5274 | __tmp[1] = _RealType(1); | |
5275 | return __tmp; | |
5276 | } | |
5277 | else | |
5278 | return _M_param._M_int; | |
5279 | } | |
8e79468d BK |
5280 | |
5281 | /** | |
5282 | * @brief Return a vector of the probability densities of the | |
5283 | * distribution. | |
5284 | */ | |
5285 | std::vector<double> | |
5286 | densities() const | |
879b9073 PC |
5287 | { |
5288 | return _M_param._M_den.empty() | |
5289 | ? std::vector<double>(2, 1.0) : _M_param._M_den; | |
5290 | } | |
8e79468d BK |
5291 | |
5292 | /** | |
5293 | * @brief Returns the parameter set of the distribution. | |
5294 | */ | |
5295 | param_type | |
5296 | param() const | |
5297 | { return _M_param; } | |
5298 | ||
5299 | /** | |
5300 | * @brief Sets the parameter set of the distribution. | |
5301 | * @param __param The new parameter set of the distribution. | |
5302 | */ | |
5303 | void | |
5304 | param(const param_type& __param) | |
5305 | { _M_param = __param; } | |
5306 | ||
5307 | /** | |
5308 | * @brief Returns the greatest lower bound value of the distribution. | |
5309 | */ | |
5310 | result_type | |
5311 | min() const | |
879b9073 PC |
5312 | { |
5313 | return _M_param._M_int.empty() | |
5314 | ? result_type(0) : _M_param._M_int.front(); | |
5315 | } | |
8e79468d BK |
5316 | |
5317 | /** | |
5318 | * @brief Returns the least upper bound value of the distribution. | |
5319 | */ | |
5320 | result_type | |
5321 | max() const | |
879b9073 PC |
5322 | { |
5323 | return _M_param._M_int.empty() | |
5324 | ? result_type(1) : _M_param._M_int.back(); | |
5325 | } | |
8e79468d | 5326 | |
247d8075 PC |
5327 | /** |
5328 | * @brief Generating functions. | |
5329 | */ | |
8e79468d BK |
5330 | template<typename _UniformRandomNumberGenerator> |
5331 | result_type | |
5332 | operator()(_UniformRandomNumberGenerator& __urng) | |
5333 | { return this->operator()(__urng, this->param()); } | |
5334 | ||
5335 | template<typename _UniformRandomNumberGenerator> | |
5336 | result_type | |
5337 | operator()(_UniformRandomNumberGenerator& __urng, | |
5338 | const param_type& __p); | |
5339 | ||
5340 | /** | |
5341 | * @brief Inserts a %piecewise_linear_distribution random number | |
5342 | * distribution @p __x into the output stream @p __os. | |
5343 | * | |
5344 | * @param __os An output stream. | |
5345 | * @param __x A %piecewise_linear_distribution random number | |
5346 | * distribution. | |
5347 | * | |
5348 | * @returns The output stream with the state of @p __x inserted or in | |
5349 | * an error state. | |
5350 | */ | |
5351 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5352 | friend std::basic_ostream<_CharT, _Traits>& | |
93c66bc6 BK |
5353 | operator<<(std::basic_ostream<_CharT, _Traits>& __os, |
5354 | const std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
5355 | |
5356 | /** | |
5357 | * @brief Extracts a %piecewise_linear_distribution random number | |
5358 | * distribution @p __x from the input stream @p __is. | |
5359 | * | |
5360 | * @param __is An input stream. | |
5361 | * @param __x A %piecewise_linear_distribution random number | |
5362 | * generator engine. | |
5363 | * | |
5364 | * @returns The input stream with @p __x extracted or in an error | |
5365 | * state. | |
5366 | */ | |
5367 | template<typename _RealType1, typename _CharT, typename _Traits> | |
5368 | friend std::basic_istream<_CharT, _Traits>& | |
93c66bc6 BK |
5369 | operator>>(std::basic_istream<_CharT, _Traits>& __is, |
5370 | std::piecewise_linear_distribution<_RealType1>& __x); | |
8e79468d BK |
5371 | |
5372 | private: | |
5373 | param_type _M_param; | |
5374 | }; | |
5375 | ||
fc05e1ba PC |
5376 | /** |
5377 | * @brief Return true if two piecewise linear distributions have the | |
5378 | * same parameters. | |
5379 | */ | |
5380 | template<typename _RealType> | |
5381 | inline bool | |
5382 | operator==(const std::piecewise_linear_distribution<_RealType>& __d1, | |
5383 | const std::piecewise_linear_distribution<_RealType>& __d2) | |
5384 | { return __d1.param() == __d2.param(); } | |
5385 | ||
5386 | /** | |
5387 | * @brief Return true if two piecewise linear distributions have | |
5388 | * different parameters. | |
5389 | */ | |
5390 | template<typename _RealType> | |
5391 | inline bool | |
5392 | operator!=(const std::piecewise_linear_distribution<_RealType>& __d1, | |
5393 | const std::piecewise_linear_distribution<_RealType>& __d2) | |
5394 | { return !(__d1 == __d2); } | |
5395 | ||
8e79468d | 5396 | |
037181bc | 5397 | /* @} */ // group random_distributions_poisson |
8e79468d | 5398 | |
037181bc | 5399 | /* @} */ // group random_distributions |
8e79468d BK |
5400 | |
5401 | /** | |
037181bc BK |
5402 | * @addtogroup random_utilities Random Number Utilities |
5403 | * @ingroup random | |
8e79468d BK |
5404 | * @{ |
5405 | */ | |
5406 | ||
5407 | /** | |
5408 | * @brief The seed_seq class generates sequences of seeds for random | |
5409 | * number generators. | |
5410 | */ | |
5411 | class seed_seq | |
5412 | { | |
5413 | ||
5414 | public: | |
5415 | /** The type of the seed vales. */ | |
5416 | typedef uint_least32_t result_type; | |
5417 | ||
5418 | /** Default constructor. */ | |
5419 | seed_seq() | |
5420 | : _M_v() | |
5421 | { } | |
5422 | ||
5423 | template<typename _IntType> | |
5424 | seed_seq(std::initializer_list<_IntType> il); | |
5425 | ||
5426 | template<typename _InputIterator> | |
5427 | seed_seq(_InputIterator __begin, _InputIterator __end); | |
5428 | ||
5429 | // generating functions | |
5430 | template<typename _RandomAccessIterator> | |
5431 | void | |
5432 | generate(_RandomAccessIterator __begin, _RandomAccessIterator __end); | |
5433 | ||
5434 | // property functions | |
5435 | size_t size() const | |
5436 | { return _M_v.size(); } | |
5437 | ||
5438 | template<typename OutputIterator> | |
5439 | void | |
5440 | param(OutputIterator __dest) const | |
5441 | { std::copy(_M_v.begin(), _M_v.end(), __dest); } | |
5442 | ||
5443 | private: | |
5444 | /// | |
94986f6d | 5445 | std::vector<result_type> _M_v; |
8e79468d BK |
5446 | }; |
5447 | ||
037181bc | 5448 | /* @} */ // group random_utilities |
8e79468d | 5449 | |
037181bc | 5450 | /* @} */ // group random |
12ffa228 BK |
5451 | |
5452 | _GLIBCXX_END_NAMESPACE_VERSION | |
5453 | } // namespace std | |
8e79468d | 5454 | |
06f29237 | 5455 | #endif |