libstdc++
uniform_int_dist.h
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1 // Class template uniform_int_distribution -*- C++ -*-
2 
3 // Copyright (C) 2009-2016 Free Software Foundation, Inc.
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
8 // Free Software Foundation; either version 3, or (at your option)
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 
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/>.
24 
25 /**
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}
29  */
30 
31 #ifndef _GLIBCXX_BITS_UNIFORM_INT_DIST_H
32 #define _GLIBCXX_BITS_UNIFORM_INT_DIST_H
33 
34 #include <type_traits>
35 #include <limits>
36 
37 namespace std _GLIBCXX_VISIBILITY(default)
38 {
39 _GLIBCXX_BEGIN_NAMESPACE_VERSION
40 
41  namespace __detail
42  {
43  /* Determine whether number is a power of 2. */
44  template<typename _Tp>
45  inline bool
46  _Power_of_2(_Tp __x)
47  {
48  return ((__x - 1) & __x) == 0;
49  };
50  }
51 
52  /**
53  * @brief Uniform discrete distribution for random numbers.
54  *
55  * A discrete random distribution on the range @f$[min, max]@f$ with equal
56  * probability throughout the range.
57  *
58  * @ingroup random_distributions_uniform
59  */
60  template<typename _IntType = int>
62  {
64  "template argument not an integral type");
65 
66  public:
67  /** The type of the range of the distribution. */
68  typedef _IntType result_type;
69  /** Parameter type. */
70  struct param_type
71  {
73 
74  explicit
75  param_type(_IntType __a = 0,
76  _IntType __b = std::numeric_limits<_IntType>::max())
77  : _M_a(__a), _M_b(__b)
78  {
79  _GLIBCXX_DEBUG_ASSERT(_M_a <= _M_b);
80  }
81 
82  result_type
83  a() const
84  { return _M_a; }
85 
86  result_type
87  b() const
88  { return _M_b; }
89 
90  friend bool
91  operator==(const param_type& __p1, const param_type& __p2)
92  { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
93 
94  private:
95  _IntType _M_a;
96  _IntType _M_b;
97  };
98 
99  public:
100  /**
101  * @brief Constructs a uniform distribution object.
102  */
103  explicit
104  uniform_int_distribution(_IntType __a = 0,
105  _IntType __b = std::numeric_limits<_IntType>::max())
106  : _M_param(__a, __b)
107  { }
108 
109  explicit
111  : _M_param(__p)
112  { }
113 
114  /**
115  * @brief Resets the distribution state.
116  *
117  * Does nothing for the uniform integer distribution.
118  */
119  void
120  reset() { }
121 
122  result_type
123  a() const
124  { return _M_param.a(); }
125 
126  result_type
127  b() const
128  { return _M_param.b(); }
129 
130  /**
131  * @brief Returns the parameter set of the distribution.
132  */
133  param_type
134  param() const
135  { return _M_param; }
136 
137  /**
138  * @brief Sets the parameter set of the distribution.
139  * @param __param The new parameter set of the distribution.
140  */
141  void
142  param(const param_type& __param)
143  { _M_param = __param; }
144 
145  /**
146  * @brief Returns the inclusive lower bound of the distribution range.
147  */
148  result_type
149  min() const
150  { return this->a(); }
151 
152  /**
153  * @brief Returns the inclusive upper bound of the distribution range.
154  */
155  result_type
156  max() const
157  { return this->b(); }
158 
159  /**
160  * @brief Generating functions.
161  */
162  template<typename _UniformRandomNumberGenerator>
163  result_type
164  operator()(_UniformRandomNumberGenerator& __urng)
165  { return this->operator()(__urng, _M_param); }
166 
167  template<typename _UniformRandomNumberGenerator>
168  result_type
169  operator()(_UniformRandomNumberGenerator& __urng,
170  const param_type& __p);
171 
172  template<typename _ForwardIterator,
173  typename _UniformRandomNumberGenerator>
174  void
175  __generate(_ForwardIterator __f, _ForwardIterator __t,
176  _UniformRandomNumberGenerator& __urng)
177  { this->__generate(__f, __t, __urng, _M_param); }
178 
179  template<typename _ForwardIterator,
180  typename _UniformRandomNumberGenerator>
181  void
182  __generate(_ForwardIterator __f, _ForwardIterator __t,
183  _UniformRandomNumberGenerator& __urng,
184  const param_type& __p)
185  { this->__generate_impl(__f, __t, __urng, __p); }
186 
187  template<typename _UniformRandomNumberGenerator>
188  void
189  __generate(result_type* __f, result_type* __t,
190  _UniformRandomNumberGenerator& __urng,
191  const param_type& __p)
192  { this->__generate_impl(__f, __t, __urng, __p); }
193 
194  /**
195  * @brief Return true if two uniform integer distributions have
196  * the same parameters.
197  */
198  friend bool
200  const uniform_int_distribution& __d2)
201  { return __d1._M_param == __d2._M_param; }
202 
203  private:
204  template<typename _ForwardIterator,
205  typename _UniformRandomNumberGenerator>
206  void
207  __generate_impl(_ForwardIterator __f, _ForwardIterator __t,
208  _UniformRandomNumberGenerator& __urng,
209  const param_type& __p);
210 
211  param_type _M_param;
212  };
213 
214  template<typename _IntType>
215  template<typename _UniformRandomNumberGenerator>
218  operator()(_UniformRandomNumberGenerator& __urng,
219  const param_type& __param)
220  {
221  typedef typename _UniformRandomNumberGenerator::result_type
222  _Gresult_type;
223  typedef typename std::make_unsigned<result_type>::type __utype;
224  typedef typename std::common_type<_Gresult_type, __utype>::type
225  __uctype;
226 
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());
232 
233  __uctype __ret;
234 
235  if (__urngrange > __urange)
236  {
237  // downscaling
238  const __uctype __uerange = __urange + 1; // __urange can be zero
239  const __uctype __scaling = __urngrange / __uerange;
240  const __uctype __past = __uerange * __scaling;
241  do
242  __ret = __uctype(__urng()) - __urngmin;
243  while (__ret >= __past);
244  __ret /= __scaling;
245  }
246  else if (__urngrange < __urange)
247  {
248  // upscaling
249  /*
250  Note that every value in [0, urange]
251  can be written uniquely as
252 
253  (urngrange + 1) * high + low
254 
255  where
256 
257  high in [0, urange / (urngrange + 1)]
258 
259  and
260 
261  low in [0, urngrange].
262  */
263  __uctype __tmp; // wraparound control
264  do
265  {
266  const __uctype __uerngrange = __urngrange + 1;
267  __tmp = (__uerngrange * operator()
268  (__urng, param_type(0, __urange / __uerngrange)));
269  __ret = __tmp + (__uctype(__urng()) - __urngmin);
270  }
271  while (__ret > __urange || __ret < __tmp);
272  }
273  else
274  __ret = __uctype(__urng()) - __urngmin;
275 
276  return __ret + __param.a();
277  }
278 
279 
280  template<typename _IntType>
281  template<typename _ForwardIterator,
282  typename _UniformRandomNumberGenerator>
283  void
285  __generate_impl(_ForwardIterator __f, _ForwardIterator __t,
286  _UniformRandomNumberGenerator& __urng,
287  const param_type& __param)
288  {
289  __glibcxx_function_requires(_ForwardIteratorConcept<_ForwardIterator>)
290  typedef typename _UniformRandomNumberGenerator::result_type
291  _Gresult_type;
292  typedef typename std::make_unsigned<result_type>::type __utype;
293  typedef typename std::common_type<_Gresult_type, __utype>::type
294  __uctype;
295 
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());
301 
302  __uctype __ret;
303 
304  if (__urngrange > __urange)
305  {
306  if (__detail::_Power_of_2(__urngrange + 1)
307  && __detail::_Power_of_2(__urange + 1))
308  {
309  while (__f != __t)
310  {
311  __ret = __uctype(__urng()) - __urngmin;
312  *__f++ = (__ret & __urange) + __param.a();
313  }
314  }
315  else
316  {
317  // downscaling
318  const __uctype __uerange = __urange + 1; // __urange can be zero
319  const __uctype __scaling = __urngrange / __uerange;
320  const __uctype __past = __uerange * __scaling;
321  while (__f != __t)
322  {
323  do
324  __ret = __uctype(__urng()) - __urngmin;
325  while (__ret >= __past);
326  *__f++ = __ret / __scaling + __param.a();
327  }
328  }
329  }
330  else if (__urngrange < __urange)
331  {
332  // upscaling
333  /*
334  Note that every value in [0, urange]
335  can be written uniquely as
336 
337  (urngrange + 1) * high + low
338 
339  where
340 
341  high in [0, urange / (urngrange + 1)]
342 
343  and
344 
345  low in [0, urngrange].
346  */
347  __uctype __tmp; // wraparound control
348  while (__f != __t)
349  {
350  do
351  {
352  const __uctype __uerngrange = __urngrange + 1;
353  __tmp = (__uerngrange * operator()
354  (__urng, param_type(0, __urange / __uerngrange)));
355  __ret = __tmp + (__uctype(__urng()) - __urngmin);
356  }
357  while (__ret > __urange || __ret < __tmp);
358  *__f++ = __ret;
359  }
360  }
361  else
362  while (__f != __t)
363  *__f++ = __uctype(__urng()) - __urngmin + __param.a();
364  }
365 
366 _GLIBCXX_END_NAMESPACE_VERSION
367 } // namespace std
368 
369 #endif
result_type min() const
Returns the inclusive lower bound of the distribution range.
param_type param() const
Returns the parameter set of the distribution.
result_type max() const
Returns the inclusive upper bound of the distribution range.
uniform_int_distribution(_IntType __a=0, _IntType __b=std::numeric_limits< _IntType >::max())
Constructs a uniform distribution object.
void param(const param_type &__param)
Sets the parameter set of the distribution.
friend bool operator==(const uniform_int_distribution &__d1, const uniform_int_distribution &__d2)
Return true if two uniform integer distributions have the same parameters.
Uniform discrete distribution for random numbers.
is_integral
Definition: type_traits:289
Properties of fundamental types.
Definition: limits:315
void reset()
Resets the distribution state.
ISO C++ entities toplevel namespace is std.
result_type operator()(_UniformRandomNumberGenerator &__urng)
Generating functions.