//===----------------------------------------------------------------------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// #ifndef _LIBCPP___RANDOM_NORMAL_DISTRIBUTION_H #define _LIBCPP___RANDOM_NORMAL_DISTRIBUTION_H #include <__config> #include <__random/is_valid.h> #include <__random/uniform_real_distribution.h> #include #include #include #if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER) # pragma GCC system_header #endif _LIBCPP_PUSH_MACROS #include <__undef_macros> _LIBCPP_BEGIN_NAMESPACE_STD template class _LIBCPP_TEMPLATE_VIS normal_distribution { static_assert(__libcpp_random_is_valid_realtype<_RealType>::value, "RealType must be a supported floating-point type"); public: // types typedef _RealType result_type; class _LIBCPP_TEMPLATE_VIS param_type { result_type __mean_; result_type __stddev_; public: typedef normal_distribution distribution_type; _LIBCPP_HIDE_FROM_ABI explicit param_type(result_type __mean = 0, result_type __stddev = 1) : __mean_(__mean), __stddev_(__stddev) {} _LIBCPP_HIDE_FROM_ABI result_type mean() const { return __mean_; } _LIBCPP_HIDE_FROM_ABI result_type stddev() const { return __stddev_; } friend _LIBCPP_HIDE_FROM_ABI bool operator==(const param_type& __x, const param_type& __y) { return __x.__mean_ == __y.__mean_ && __x.__stddev_ == __y.__stddev_; } friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const param_type& __x, const param_type& __y) { return !(__x == __y); } }; private: param_type __p_; result_type __v_; bool __v_hot_; public: // constructors and reset functions #ifndef _LIBCPP_CXX03_LANG _LIBCPP_HIDE_FROM_ABI normal_distribution() : normal_distribution(0) {} _LIBCPP_HIDE_FROM_ABI explicit normal_distribution(result_type __mean, result_type __stddev = 1) : __p_(param_type(__mean, __stddev)), __v_hot_(false) {} #else _LIBCPP_HIDE_FROM_ABI explicit normal_distribution(result_type __mean = 0, result_type __stddev = 1) : __p_(param_type(__mean, __stddev)), __v_hot_(false) {} #endif _LIBCPP_HIDE_FROM_ABI explicit normal_distribution(const param_type& __p) : __p_(__p), __v_hot_(false) {} _LIBCPP_HIDE_FROM_ABI void reset() { __v_hot_ = false; } // generating functions template _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g) { return (*this)(__g, __p_); } template _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g, const param_type& __p); // property functions _LIBCPP_HIDE_FROM_ABI result_type mean() const { return __p_.mean(); } _LIBCPP_HIDE_FROM_ABI result_type stddev() const { return __p_.stddev(); } _LIBCPP_HIDE_FROM_ABI param_type param() const { return __p_; } _LIBCPP_HIDE_FROM_ABI void param(const param_type& __p) { __p_ = __p; } _LIBCPP_HIDE_FROM_ABI result_type min() const { return -numeric_limits::infinity(); } _LIBCPP_HIDE_FROM_ABI result_type max() const { return numeric_limits::infinity(); } friend _LIBCPP_HIDE_FROM_ABI bool operator==(const normal_distribution& __x, const normal_distribution& __y) { return __x.__p_ == __y.__p_ && __x.__v_hot_ == __y.__v_hot_ && (!__x.__v_hot_ || __x.__v_ == __y.__v_); } friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const normal_distribution& __x, const normal_distribution& __y) { return !(__x == __y); } template friend basic_ostream<_CharT, _Traits>& operator<<(basic_ostream<_CharT, _Traits>& __os, const normal_distribution<_RT>& __x); template friend basic_istream<_CharT, _Traits>& operator>>(basic_istream<_CharT, _Traits>& __is, normal_distribution<_RT>& __x); }; template template _RealType normal_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p) { static_assert(__libcpp_random_is_valid_urng<_URNG>::value, ""); result_type __up; if (__v_hot_) { __v_hot_ = false; __up = __v_; } else { uniform_real_distribution __uni(-1, 1); result_type __u; result_type __v; result_type __s; do { __u = __uni(__g); __v = __uni(__g); __s = __u * __u + __v * __v; } while (__s > 1 || __s == 0); result_type __fp = std::sqrt(-2 * std::log(__s) / __s); __v_ = __v * __fp; __v_hot_ = true; __up = __u * __fp; } return __up * __p.stddev() + __p.mean(); } template _LIBCPP_HIDE_FROM_ABI basic_ostream<_CharT, _Traits>& operator<<(basic_ostream<_CharT, _Traits>& __os, const normal_distribution<_RT>& __x) { __save_flags<_CharT, _Traits> __lx(__os); typedef basic_ostream<_CharT, _Traits> _OStream; __os.flags(_OStream::dec | _OStream::left | _OStream::fixed | _OStream::scientific); _CharT __sp = __os.widen(' '); __os.fill(__sp); __os << __x.mean() << __sp << __x.stddev() << __sp << __x.__v_hot_; if (__x.__v_hot_) __os << __sp << __x.__v_; return __os; } template _LIBCPP_HIDE_FROM_ABI basic_istream<_CharT, _Traits>& operator>>(basic_istream<_CharT, _Traits>& __is, normal_distribution<_RT>& __x) { typedef normal_distribution<_RT> _Eng; typedef typename _Eng::result_type result_type; typedef typename _Eng::param_type param_type; __save_flags<_CharT, _Traits> __lx(__is); typedef basic_istream<_CharT, _Traits> _Istream; __is.flags(_Istream::dec | _Istream::skipws); result_type __mean; result_type __stddev; result_type __vp = 0; bool __v_hot = false; __is >> __mean >> __stddev >> __v_hot; if (__v_hot) __is >> __vp; if (!__is.fail()) { __x.param(param_type(__mean, __stddev)); __x.__v_hot_ = __v_hot; __x.__v_ = __vp; } return __is; } _LIBCPP_END_NAMESPACE_STD _LIBCPP_POP_MACROS #endif // _LIBCPP___RANDOM_NORMAL_DISTRIBUTION_H