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//===----------------------------------------------------------------------===//
//
// 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 <cmath>
#include <iosfwd>
#include <limits>
#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 _RealType = double>
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 <class _URNG>
_LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g) {
return (*this)(__g, __p_);
}
template <class _URNG>
_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<result_type>::infinity(); }
_LIBCPP_HIDE_FROM_ABI result_type max() const { return numeric_limits<result_type>::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 <class _CharT, class _Traits, class _RT>
friend basic_ostream<_CharT, _Traits>&
operator<<(basic_ostream<_CharT, _Traits>& __os, const normal_distribution<_RT>& __x);
template <class _CharT, class _Traits, class _RT>
friend basic_istream<_CharT, _Traits>&
operator>>(basic_istream<_CharT, _Traits>& __is, normal_distribution<_RT>& __x);
};
template <class _RealType>
template <class _URNG>
_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<result_type> __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 <class _CharT, class _Traits, class _RT>
_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 <class _CharT, class _Traits, class _RT>
_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
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