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0009 #ifndef _LIBCPP___CXX03___RANDOM_DISCRETE_DISTRIBUTION_H
0010 #define _LIBCPP___CXX03___RANDOM_DISCRETE_DISTRIBUTION_H
0011
0012 #include <__cxx03/__algorithm/upper_bound.h>
0013 #include <__cxx03/__config>
0014 #include <__cxx03/__random/is_valid.h>
0015 #include <__cxx03/__random/uniform_real_distribution.h>
0016 #include <__cxx03/cstddef>
0017 #include <__cxx03/iosfwd>
0018 #include <__cxx03/numeric>
0019 #include <__cxx03/vector>
0020
0021 #if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
0022 # pragma GCC system_header
0023 #endif
0024
0025 _LIBCPP_PUSH_MACROS
0026 #include <__cxx03/__undef_macros>
0027
0028 _LIBCPP_BEGIN_NAMESPACE_STD
0029
0030 template <class _IntType = int>
0031 class _LIBCPP_TEMPLATE_VIS discrete_distribution {
0032 static_assert(__libcpp_random_is_valid_inttype<_IntType>::value, "IntType must be a supported integer type");
0033
0034 public:
0035
0036 typedef _IntType result_type;
0037
0038 class _LIBCPP_TEMPLATE_VIS param_type {
0039 vector<double> __p_;
0040
0041 public:
0042 typedef discrete_distribution distribution_type;
0043
0044 _LIBCPP_HIDE_FROM_ABI param_type() {}
0045 template <class _InputIterator>
0046 _LIBCPP_HIDE_FROM_ABI param_type(_InputIterator __f, _InputIterator __l) : __p_(__f, __l) {
0047 __init();
0048 }
0049 #ifndef _LIBCPP_CXX03_LANG
0050 _LIBCPP_HIDE_FROM_ABI param_type(initializer_list<double> __wl) : __p_(__wl.begin(), __wl.end()) { __init(); }
0051 #endif
0052 template <class _UnaryOperation>
0053 _LIBCPP_HIDE_FROM_ABI param_type(size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw);
0054
0055 _LIBCPP_HIDE_FROM_ABI vector<double> probabilities() const;
0056
0057 friend _LIBCPP_HIDE_FROM_ABI bool operator==(const param_type& __x, const param_type& __y) {
0058 return __x.__p_ == __y.__p_;
0059 }
0060 friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const param_type& __x, const param_type& __y) { return !(__x == __y); }
0061
0062 private:
0063 _LIBCPP_HIDE_FROM_ABI void __init();
0064
0065 friend class discrete_distribution;
0066
0067 template <class _CharT, class _Traits, class _IT>
0068 friend basic_ostream<_CharT, _Traits>&
0069 operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x);
0070
0071 template <class _CharT, class _Traits, class _IT>
0072 friend basic_istream<_CharT, _Traits>&
0073 operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x);
0074 };
0075
0076 private:
0077 param_type __p_;
0078
0079 public:
0080
0081 _LIBCPP_HIDE_FROM_ABI discrete_distribution() {}
0082 template <class _InputIterator>
0083 _LIBCPP_HIDE_FROM_ABI discrete_distribution(_InputIterator __f, _InputIterator __l) : __p_(__f, __l) {}
0084 #ifndef _LIBCPP_CXX03_LANG
0085 _LIBCPP_HIDE_FROM_ABI discrete_distribution(initializer_list<double> __wl) : __p_(__wl) {}
0086 #endif
0087 template <class _UnaryOperation>
0088 _LIBCPP_HIDE_FROM_ABI discrete_distribution(size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw)
0089 : __p_(__nw, __xmin, __xmax, __fw) {}
0090 _LIBCPP_HIDE_FROM_ABI explicit discrete_distribution(const param_type& __p) : __p_(__p) {}
0091 _LIBCPP_HIDE_FROM_ABI void reset() {}
0092
0093
0094 template <class _URNG>
0095 _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g) {
0096 return (*this)(__g, __p_);
0097 }
0098 template <class _URNG>
0099 _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g, const param_type& __p);
0100
0101
0102 _LIBCPP_HIDE_FROM_ABI vector<double> probabilities() const { return __p_.probabilities(); }
0103
0104 _LIBCPP_HIDE_FROM_ABI param_type param() const { return __p_; }
0105 _LIBCPP_HIDE_FROM_ABI void param(const param_type& __p) { __p_ = __p; }
0106
0107 _LIBCPP_HIDE_FROM_ABI result_type min() const { return 0; }
0108 _LIBCPP_HIDE_FROM_ABI result_type max() const { return __p_.__p_.size(); }
0109
0110 friend _LIBCPP_HIDE_FROM_ABI bool operator==(const discrete_distribution& __x, const discrete_distribution& __y) {
0111 return __x.__p_ == __y.__p_;
0112 }
0113 friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const discrete_distribution& __x, const discrete_distribution& __y) {
0114 return !(__x == __y);
0115 }
0116
0117 template <class _CharT, class _Traits, class _IT>
0118 friend basic_ostream<_CharT, _Traits>&
0119 operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x);
0120
0121 template <class _CharT, class _Traits, class _IT>
0122 friend basic_istream<_CharT, _Traits>&
0123 operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x);
0124 };
0125
0126 template <class _IntType>
0127 template <class _UnaryOperation>
0128 discrete_distribution<_IntType>::param_type::param_type(
0129 size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw) {
0130 if (__nw > 1) {
0131 __p_.reserve(__nw - 1);
0132 double __d = (__xmax - __xmin) / __nw;
0133 double __d2 = __d / 2;
0134 for (size_t __k = 0; __k < __nw; ++__k)
0135 __p_.push_back(__fw(__xmin + __k * __d + __d2));
0136 __init();
0137 }
0138 }
0139
0140 template <class _IntType>
0141 void discrete_distribution<_IntType>::param_type::__init() {
0142 if (!__p_.empty()) {
0143 if (__p_.size() > 1) {
0144 double __s = std::accumulate(__p_.begin(), __p_.end(), 0.0);
0145 for (vector<double>::iterator __i = __p_.begin(), __e = __p_.end(); __i < __e; ++__i)
0146 *__i /= __s;
0147 vector<double> __t(__p_.size() - 1);
0148 std::partial_sum(__p_.begin(), __p_.end() - 1, __t.begin());
0149 swap(__p_, __t);
0150 } else {
0151 __p_.clear();
0152 __p_.shrink_to_fit();
0153 }
0154 }
0155 }
0156
0157 template <class _IntType>
0158 vector<double> discrete_distribution<_IntType>::param_type::probabilities() const {
0159 size_t __n = __p_.size();
0160 vector<double> __p(__n + 1);
0161 std::adjacent_difference(__p_.begin(), __p_.end(), __p.begin());
0162 if (__n > 0)
0163 __p[__n] = 1 - __p_[__n - 1];
0164 else
0165 __p[0] = 1;
0166 return __p;
0167 }
0168
0169 template <class _IntType>
0170 template <class _URNG>
0171 _IntType discrete_distribution<_IntType>::operator()(_URNG& __g, const param_type& __p) {
0172 static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
0173 uniform_real_distribution<double> __gen;
0174 return static_cast<_IntType>(std::upper_bound(__p.__p_.begin(), __p.__p_.end(), __gen(__g)) - __p.__p_.begin());
0175 }
0176
0177 template <class _CharT, class _Traits, class _IT>
0178 _LIBCPP_HIDE_FROM_ABI basic_ostream<_CharT, _Traits>&
0179 operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x) {
0180 __save_flags<_CharT, _Traits> __lx(__os);
0181 typedef basic_ostream<_CharT, _Traits> _OStream;
0182 __os.flags(_OStream::dec | _OStream::left | _OStream::fixed | _OStream::scientific);
0183 _CharT __sp = __os.widen(' ');
0184 __os.fill(__sp);
0185 size_t __n = __x.__p_.__p_.size();
0186 __os << __n;
0187 for (size_t __i = 0; __i < __n; ++__i)
0188 __os << __sp << __x.__p_.__p_[__i];
0189 return __os;
0190 }
0191
0192 template <class _CharT, class _Traits, class _IT>
0193 _LIBCPP_HIDE_FROM_ABI basic_istream<_CharT, _Traits>&
0194 operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x) {
0195 __save_flags<_CharT, _Traits> __lx(__is);
0196 typedef basic_istream<_CharT, _Traits> _Istream;
0197 __is.flags(_Istream::dec | _Istream::skipws);
0198 size_t __n;
0199 __is >> __n;
0200 vector<double> __p(__n);
0201 for (size_t __i = 0; __i < __n; ++__i)
0202 __is >> __p[__i];
0203 if (!__is.fail())
0204 swap(__x.__p_.__p_, __p);
0205 return __is;
0206 }
0207
0208 _LIBCPP_END_NAMESPACE_STD
0209
0210 _LIBCPP_POP_MACROS
0211
0212 #endif