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