1 // Class template uniform_int_distribution -*- C++ -*-
3 // Copyright (C) 2009-2016 Free Software Foundation, Inc.
5 // This file is part of the GNU ISO C++ Library. This library is free
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7 // terms of the GNU General Public License as published by the
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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.
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26 * @file bits/uniform_int_dist.h
27 * This is an internal header file, included by other library headers.
28 * Do not attempt to use it directly. @headername{random}
31 #ifndef _GLIBCXX_BITS_UNIFORM_INT_DIST_H
32 #define _GLIBCXX_BITS_UNIFORM_INT_DIST_H
34 #include <type_traits>
37 namespace std
_GLIBCXX_VISIBILITY(default)
42 _GLIBCXX_BEGIN_NAMESPACE_VERSION
43 /* Determine whether number is a power of 2. */
44 template<typename _Tp
>
48 return ((__x
- 1) & __x
) == 0;
50 _GLIBCXX_END_NAMESPACE_VERSION
53 _GLIBCXX_BEGIN_NAMESPACE_VERSION
56 * @brief Uniform discrete distribution for random numbers.
57 * A discrete random distribution on the range @f$[min, max]@f$ with equal
58 * probability throughout the range.
60 template<typename _IntType
= int>
61 class uniform_int_distribution
63 static_assert(std::is_integral
<_IntType
>::value
,
64 "template argument must be an integral type");
67 /** The type of the range of the distribution. */
68 typedef _IntType result_type
;
69 /** Parameter type. */
72 typedef uniform_int_distribution
<_IntType
> distribution_type
;
75 param_type(_IntType __a
= 0,
76 _IntType __b
= std::numeric_limits
<_IntType
>::max())
77 : _M_a(__a
), _M_b(__b
)
79 __glibcxx_assert(_M_a
<= _M_b
);
91 operator==(const param_type
& __p1
, const param_type
& __p2
)
92 { return __p1
._M_a
== __p2
._M_a
&& __p1
._M_b
== __p2
._M_b
; }
101 * @brief Constructs a uniform distribution object.
104 uniform_int_distribution(_IntType __a
= 0,
105 _IntType __b
= std::numeric_limits
<_IntType
>::max())
110 uniform_int_distribution(const param_type
& __p
)
115 * @brief Resets the distribution state.
117 * Does nothing for the uniform integer distribution.
124 { return _M_param
.a(); }
128 { return _M_param
.b(); }
131 * @brief Returns the parameter set of the distribution.
138 * @brief Sets the parameter set of the distribution.
139 * @param __param The new parameter set of the distribution.
142 param(const param_type
& __param
)
143 { _M_param
= __param
; }
146 * @brief Returns the inclusive lower bound of the distribution range.
150 { return this->a(); }
153 * @brief Returns the inclusive upper bound of the distribution range.
157 { return this->b(); }
160 * @brief Generating functions.
162 template<typename _UniformRandomNumberGenerator
>
164 operator()(_UniformRandomNumberGenerator
& __urng
)
165 { return this->operator()(__urng
, _M_param
); }
167 template<typename _UniformRandomNumberGenerator
>
169 operator()(_UniformRandomNumberGenerator
& __urng
,
170 const param_type
& __p
);
172 template<typename _ForwardIterator
,
173 typename _UniformRandomNumberGenerator
>
175 __generate(_ForwardIterator __f
, _ForwardIterator __t
,
176 _UniformRandomNumberGenerator
& __urng
)
177 { this->__generate(__f
, __t
, __urng
, _M_param
); }
179 template<typename _ForwardIterator
,
180 typename _UniformRandomNumberGenerator
>
182 __generate(_ForwardIterator __f
, _ForwardIterator __t
,
183 _UniformRandomNumberGenerator
& __urng
,
184 const param_type
& __p
)
185 { this->__generate_impl(__f
, __t
, __urng
, __p
); }
187 template<typename _UniformRandomNumberGenerator
>
189 __generate(result_type
* __f
, result_type
* __t
,
190 _UniformRandomNumberGenerator
& __urng
,
191 const param_type
& __p
)
192 { this->__generate_impl(__f
, __t
, __urng
, __p
); }
195 * @brief Return true if two uniform integer distributions have
196 * the same parameters.
199 operator==(const uniform_int_distribution
& __d1
,
200 const uniform_int_distribution
& __d2
)
201 { return __d1
._M_param
== __d2
._M_param
; }
204 template<typename _ForwardIterator
,
205 typename _UniformRandomNumberGenerator
>
207 __generate_impl(_ForwardIterator __f
, _ForwardIterator __t
,
208 _UniformRandomNumberGenerator
& __urng
,
209 const param_type
& __p
);
214 template<typename _IntType
>
215 template<typename _UniformRandomNumberGenerator
>
216 typename uniform_int_distribution
<_IntType
>::result_type
217 uniform_int_distribution
<_IntType
>::
218 operator()(_UniformRandomNumberGenerator
& __urng
,
219 const param_type
& __param
)
221 typedef typename
_UniformRandomNumberGenerator::result_type
223 typedef typename
std::make_unsigned
<result_type
>::type __utype
;
224 typedef typename
std::common_type
<_Gresult_type
, __utype
>::type
227 const __uctype __urngmin
= __urng
.min();
228 const __uctype __urngmax
= __urng
.max();
229 const __uctype __urngrange
= __urngmax
- __urngmin
;
230 const __uctype __urange
231 = __uctype(__param
.b()) - __uctype(__param
.a());
235 if (__urngrange
> __urange
)
238 const __uctype __uerange
= __urange
+ 1; // __urange can be zero
239 const __uctype __scaling
= __urngrange
/ __uerange
;
240 const __uctype __past
= __uerange
* __scaling
;
242 __ret
= __uctype(__urng()) - __urngmin
;
243 while (__ret
>= __past
);
246 else if (__urngrange
< __urange
)
250 Note that every value in [0, urange]
251 can be written uniquely as
253 (urngrange + 1) * high + low
257 high in [0, urange / (urngrange + 1)]
261 low in [0, urngrange].
263 __uctype __tmp
; // wraparound control
266 const __uctype __uerngrange
= __urngrange
+ 1;
267 __tmp
= (__uerngrange
* operator()
268 (__urng
, param_type(0, __urange
/ __uerngrange
)));
269 __ret
= __tmp
+ (__uctype(__urng()) - __urngmin
);
271 while (__ret
> __urange
|| __ret
< __tmp
);
274 __ret
= __uctype(__urng()) - __urngmin
;
276 return __ret
+ __param
.a();
280 template<typename _IntType
>
281 template<typename _ForwardIterator
,
282 typename _UniformRandomNumberGenerator
>
284 uniform_int_distribution
<_IntType
>::
285 __generate_impl(_ForwardIterator __f
, _ForwardIterator __t
,
286 _UniformRandomNumberGenerator
& __urng
,
287 const param_type
& __param
)
289 __glibcxx_function_requires(_ForwardIteratorConcept
<_ForwardIterator
>)
290 typedef typename
_UniformRandomNumberGenerator::result_type
292 typedef typename
std::make_unsigned
<result_type
>::type __utype
;
293 typedef typename
std::common_type
<_Gresult_type
, __utype
>::type
296 const __uctype __urngmin
= __urng
.min();
297 const __uctype __urngmax
= __urng
.max();
298 const __uctype __urngrange
= __urngmax
- __urngmin
;
299 const __uctype __urange
300 = __uctype(__param
.b()) - __uctype(__param
.a());
304 if (__urngrange
> __urange
)
306 if (__detail::_Power_of_2(__urngrange
+ 1)
307 && __detail::_Power_of_2(__urange
+ 1))
311 __ret
= __uctype(__urng()) - __urngmin
;
312 *__f
++ = (__ret
& __urange
) + __param
.a();
318 const __uctype __uerange
= __urange
+ 1; // __urange can be zero
319 const __uctype __scaling
= __urngrange
/ __uerange
;
320 const __uctype __past
= __uerange
* __scaling
;
324 __ret
= __uctype(__urng()) - __urngmin
;
325 while (__ret
>= __past
);
326 *__f
++ = __ret
/ __scaling
+ __param
.a();
330 else if (__urngrange
< __urange
)
334 Note that every value in [0, urange]
335 can be written uniquely as
337 (urngrange + 1) * high + low
341 high in [0, urange / (urngrange + 1)]
345 low in [0, urngrange].
347 __uctype __tmp
; // wraparound control
352 const __uctype __uerngrange
= __urngrange
+ 1;
353 __tmp
= (__uerngrange
* operator()
354 (__urng
, param_type(0, __urange
/ __uerngrange
)));
355 __ret
= __tmp
+ (__uctype(__urng()) - __urngmin
);
357 while (__ret
> __urange
|| __ret
< __tmp
);
363 *__f
++ = __uctype(__urng()) - __urngmin
+ __param
.a();
366 _GLIBCXX_END_NAMESPACE_VERSION