1 //===----------------------------------------------------------------------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 
9 #ifndef _LIBCPP___RANDOM_DISCRETE_DISTRIBUTION_H
10 #define _LIBCPP___RANDOM_DISCRETE_DISTRIBUTION_H
11 
12 #include <__algorithm/upper_bound.h>
13 #include <__config>
14 #include <__random/is_valid.h>
15 #include <__random/uniform_real_distribution.h>
16 #include <cstddef>
17 #include <iosfwd>
18 #include <numeric>
19 #include <vector>
20 
21 #if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
22 #  pragma GCC system_header
23 #endif
24 
25 _LIBCPP_PUSH_MACROS
26 #include <__undef_macros>
27 
28 _LIBCPP_BEGIN_NAMESPACE_STD
29 
30 template <class _IntType = int>
31 class _LIBCPP_TEMPLATE_VIS discrete_distribution {
32   static_assert(__libcpp_random_is_valid_inttype<_IntType>::value, "IntType must be a supported integer type");
33 
34 public:
35   // types
36   typedef _IntType result_type;
37 
38   class _LIBCPP_TEMPLATE_VIS param_type {
39     vector<double> __p_;
40 
41   public:
42     typedef discrete_distribution distribution_type;
43 
param_type()44     _LIBCPP_HIDE_FROM_ABI param_type() {}
45     template <class _InputIterator>
param_type(_InputIterator __f,_InputIterator __l)46     _LIBCPP_HIDE_FROM_ABI param_type(_InputIterator __f, _InputIterator __l) : __p_(__f, __l) {
47       __init();
48     }
49 #ifndef _LIBCPP_CXX03_LANG
param_type(initializer_list<double> __wl)50     _LIBCPP_HIDE_FROM_ABI param_type(initializer_list<double> __wl) : __p_(__wl.begin(), __wl.end()) { __init(); }
51 #endif // _LIBCPP_CXX03_LANG
52     template <class _UnaryOperation>
53     _LIBCPP_HIDE_FROM_ABI param_type(size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw);
54 
55     _LIBCPP_HIDE_FROM_ABI vector<double> probabilities() const;
56 
57     friend _LIBCPP_HIDE_FROM_ABI bool operator==(const param_type& __x, const param_type& __y) {
58       return __x.__p_ == __y.__p_;
59     }
60     friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const param_type& __x, const param_type& __y) { return !(__x == __y); }
61 
62   private:
63     _LIBCPP_HIDE_FROM_ABI void __init();
64 
65     friend class discrete_distribution;
66 
67     template <class _CharT, class _Traits, class _IT>
68     friend basic_ostream<_CharT, _Traits>&
69     operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x);
70 
71     template <class _CharT, class _Traits, class _IT>
72     friend basic_istream<_CharT, _Traits>&
73     operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x);
74   };
75 
76 private:
77   param_type __p_;
78 
79 public:
80   // constructor and reset functions
discrete_distribution()81   _LIBCPP_HIDE_FROM_ABI discrete_distribution() {}
82   template <class _InputIterator>
discrete_distribution(_InputIterator __f,_InputIterator __l)83   _LIBCPP_HIDE_FROM_ABI discrete_distribution(_InputIterator __f, _InputIterator __l) : __p_(__f, __l) {}
84 #ifndef _LIBCPP_CXX03_LANG
discrete_distribution(initializer_list<double> __wl)85   _LIBCPP_HIDE_FROM_ABI discrete_distribution(initializer_list<double> __wl) : __p_(__wl) {}
86 #endif // _LIBCPP_CXX03_LANG
87   template <class _UnaryOperation>
discrete_distribution(size_t __nw,double __xmin,double __xmax,_UnaryOperation __fw)88   _LIBCPP_HIDE_FROM_ABI discrete_distribution(size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw)
89       : __p_(__nw, __xmin, __xmax, __fw) {}
discrete_distribution(const param_type & __p)90   _LIBCPP_HIDE_FROM_ABI explicit discrete_distribution(const param_type& __p) : __p_(__p) {}
reset()91   _LIBCPP_HIDE_FROM_ABI void reset() {}
92 
93   // generating functions
94   template <class _URNG>
operator()95   _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g) {
96     return (*this)(__g, __p_);
97   }
98   template <class _URNG>
99   _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g, const param_type& __p);
100 
101   // property functions
probabilities()102   _LIBCPP_HIDE_FROM_ABI vector<double> probabilities() const { return __p_.probabilities(); }
103 
param()104   _LIBCPP_HIDE_FROM_ABI param_type param() const { return __p_; }
param(const param_type & __p)105   _LIBCPP_HIDE_FROM_ABI void param(const param_type& __p) { __p_ = __p; }
106 
min()107   _LIBCPP_HIDE_FROM_ABI result_type min() const { return 0; }
max()108   _LIBCPP_HIDE_FROM_ABI result_type max() const { return __p_.__p_.size(); }
109 
110   friend _LIBCPP_HIDE_FROM_ABI bool operator==(const discrete_distribution& __x, const discrete_distribution& __y) {
111     return __x.__p_ == __y.__p_;
112   }
113   friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const discrete_distribution& __x, const discrete_distribution& __y) {
114     return !(__x == __y);
115   }
116 
117   template <class _CharT, class _Traits, class _IT>
118   friend basic_ostream<_CharT, _Traits>&
119   operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x);
120 
121   template <class _CharT, class _Traits, class _IT>
122   friend basic_istream<_CharT, _Traits>&
123   operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x);
124 };
125 
126 template <class _IntType>
127 template <class _UnaryOperation>
param_type(size_t __nw,double __xmin,double __xmax,_UnaryOperation __fw)128 discrete_distribution<_IntType>::param_type::param_type(
129     size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw) {
130   if (__nw > 1) {
131     __p_.reserve(__nw - 1);
132     double __d  = (__xmax - __xmin) / __nw;
133     double __d2 = __d / 2;
134     for (size_t __k = 0; __k < __nw; ++__k)
135       __p_.push_back(__fw(__xmin + __k * __d + __d2));
136     __init();
137   }
138 }
139 
140 template <class _IntType>
__init()141 void discrete_distribution<_IntType>::param_type::__init() {
142   if (!__p_.empty()) {
143     if (__p_.size() > 1) {
144       double __s = std::accumulate(__p_.begin(), __p_.end(), 0.0);
145       for (vector<double>::iterator __i = __p_.begin(), __e = __p_.end(); __i < __e; ++__i)
146         *__i /= __s;
147       vector<double> __t(__p_.size() - 1);
148       std::partial_sum(__p_.begin(), __p_.end() - 1, __t.begin());
149       swap(__p_, __t);
150     } else {
151       __p_.clear();
152       __p_.shrink_to_fit();
153     }
154   }
155 }
156 
157 template <class _IntType>
probabilities()158 vector<double> discrete_distribution<_IntType>::param_type::probabilities() const {
159   size_t __n = __p_.size();
160   vector<double> __p(__n + 1);
161   std::adjacent_difference(__p_.begin(), __p_.end(), __p.begin());
162   if (__n > 0)
163     __p[__n] = 1 - __p_[__n - 1];
164   else
165     __p[0] = 1;
166   return __p;
167 }
168 
169 template <class _IntType>
170 template <class _URNG>
operator()171 _IntType discrete_distribution<_IntType>::operator()(_URNG& __g, const param_type& __p) {
172   static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
173   uniform_real_distribution<double> __gen;
174   return static_cast<_IntType>(std::upper_bound(__p.__p_.begin(), __p.__p_.end(), __gen(__g)) - __p.__p_.begin());
175 }
176 
177 template <class _CharT, class _Traits, class _IT>
178 _LIBCPP_HIDE_FROM_ABI basic_ostream<_CharT, _Traits>&
179 operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x) {
180   __save_flags<_CharT, _Traits> __lx(__os);
181   typedef basic_ostream<_CharT, _Traits> _OStream;
182   __os.flags(_OStream::dec | _OStream::left | _OStream::fixed | _OStream::scientific);
183   _CharT __sp = __os.widen(' ');
184   __os.fill(__sp);
185   size_t __n = __x.__p_.__p_.size();
186   __os << __n;
187   for (size_t __i = 0; __i < __n; ++__i)
188     __os << __sp << __x.__p_.__p_[__i];
189   return __os;
190 }
191 
192 template <class _CharT, class _Traits, class _IT>
193 _LIBCPP_HIDE_FROM_ABI basic_istream<_CharT, _Traits>&
194 operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x) {
195   __save_flags<_CharT, _Traits> __lx(__is);
196   typedef basic_istream<_CharT, _Traits> _Istream;
197   __is.flags(_Istream::dec | _Istream::skipws);
198   size_t __n;
199   __is >> __n;
200   vector<double> __p(__n);
201   for (size_t __i = 0; __i < __n; ++__i)
202     __is >> __p[__i];
203   if (!__is.fail())
204     swap(__x.__p_.__p_, __p);
205   return __is;
206 }
207 
208 _LIBCPP_END_NAMESPACE_STD
209 
210 _LIBCPP_POP_MACROS
211 
212 #endif // _LIBCPP___RANDOM_DISCRETE_DISTRIBUTION_H
213