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Upgrade to 2022-era LLVM LIBCXX
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Justine Tunney
parent
2f4ca71f26
commit
8e68384e15
2078 changed files with 165657 additions and 65010 deletions
375
third_party/libcxx/__random/piecewise_linear_distribution.h
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375
third_party/libcxx/__random/piecewise_linear_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_PIECEWISE_LINEAR_DISTRIBUTION_H
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#define _LIBCPP___RANDOM_PIECEWISE_LINEAR_DISTRIBUTION_H
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#include <__algorithm/upper_bound.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 <iosfwd>
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#include <numeric>
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#include <vector>
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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 piecewise_linear_distribution
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{
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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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{
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vector<result_type> __b_;
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vector<result_type> __densities_;
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vector<result_type> __areas_;
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public:
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typedef piecewise_linear_distribution distribution_type;
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_LIBCPP_HIDE_FROM_ABI param_type();
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template<class _InputIteratorB, class _InputIteratorW>
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_LIBCPP_HIDE_FROM_ABI param_type(_InputIteratorB __f_b, _InputIteratorB __l_b,
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_InputIteratorW __f_w);
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#ifndef _LIBCPP_CXX03_LANG
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template<class _UnaryOperation>
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_LIBCPP_HIDE_FROM_ABI param_type(initializer_list<result_type> __bl, _UnaryOperation __fw);
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#endif // _LIBCPP_CXX03_LANG
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template<class _UnaryOperation>
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_LIBCPP_HIDE_FROM_ABI param_type(size_t __nw, result_type __xmin, result_type __xmax,
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_UnaryOperation __fw);
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_LIBCPP_HIDE_FROM_ABI param_type(param_type const&) = default;
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_LIBCPP_HIDE_FROM_ABI param_type & operator=(const param_type& __rhs);
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_LIBCPP_INLINE_VISIBILITY
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vector<result_type> intervals() const {return __b_;}
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_LIBCPP_INLINE_VISIBILITY
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vector<result_type> densities() const {return __densities_;}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator==(const param_type& __x, const param_type& __y)
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{return __x.__densities_ == __y.__densities_ && __x.__b_ == __y.__b_;}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator!=(const param_type& __x, const param_type& __y)
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{return !(__x == __y);}
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private:
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_LIBCPP_HIDE_FROM_ABI void __init();
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friend class piecewise_linear_distribution;
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template <class _CharT, class _Traits, class _RT>
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friend
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basic_ostream<_CharT, _Traits>&
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operator<<(basic_ostream<_CharT, _Traits>& __os,
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const piecewise_linear_distribution<_RT>& __x);
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template <class _CharT, class _Traits, class _RT>
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friend
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basic_istream<_CharT, _Traits>&
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operator>>(basic_istream<_CharT, _Traits>& __is,
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piecewise_linear_distribution<_RT>& __x);
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};
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private:
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param_type __p_;
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public:
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// constructor and reset functions
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_LIBCPP_INLINE_VISIBILITY
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piecewise_linear_distribution() {}
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template<class _InputIteratorB, class _InputIteratorW>
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_LIBCPP_INLINE_VISIBILITY
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piecewise_linear_distribution(_InputIteratorB __f_b,
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_InputIteratorB __l_b,
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_InputIteratorW __f_w)
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: __p_(__f_b, __l_b, __f_w) {}
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#ifndef _LIBCPP_CXX03_LANG
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template<class _UnaryOperation>
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_LIBCPP_INLINE_VISIBILITY
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piecewise_linear_distribution(initializer_list<result_type> __bl,
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_UnaryOperation __fw)
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: __p_(__bl, __fw) {}
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#endif // _LIBCPP_CXX03_LANG
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template<class _UnaryOperation>
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_LIBCPP_INLINE_VISIBILITY
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piecewise_linear_distribution(size_t __nw, result_type __xmin,
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result_type __xmax, _UnaryOperation __fw)
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: __p_(__nw, __xmin, __xmax, __fw) {}
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_LIBCPP_INLINE_VISIBILITY
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explicit piecewise_linear_distribution(const param_type& __p)
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: __p_(__p) {}
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_LIBCPP_INLINE_VISIBILITY
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void reset() {}
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// generating functions
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template<class _URNG>
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_LIBCPP_INLINE_VISIBILITY
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result_type operator()(_URNG& __g)
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{return (*this)(__g, __p_);}
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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_INLINE_VISIBILITY
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vector<result_type> intervals() const {return __p_.intervals();}
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_LIBCPP_INLINE_VISIBILITY
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vector<result_type> densities() const {return __p_.densities();}
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_LIBCPP_INLINE_VISIBILITY
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param_type param() const {return __p_;}
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_LIBCPP_INLINE_VISIBILITY
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void param(const param_type& __p) {__p_ = __p;}
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_LIBCPP_INLINE_VISIBILITY
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result_type min() const {return __p_.__b_.front();}
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_LIBCPP_INLINE_VISIBILITY
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result_type max() const {return __p_.__b_.back();}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator==(const piecewise_linear_distribution& __x,
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const piecewise_linear_distribution& __y)
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{return __x.__p_ == __y.__p_;}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator!=(const piecewise_linear_distribution& __x,
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const piecewise_linear_distribution& __y)
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{return !(__x == __y);}
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template <class _CharT, class _Traits, class _RT>
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friend
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basic_ostream<_CharT, _Traits>&
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operator<<(basic_ostream<_CharT, _Traits>& __os,
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const piecewise_linear_distribution<_RT>& __x);
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template <class _CharT, class _Traits, class _RT>
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friend
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basic_istream<_CharT, _Traits>&
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operator>>(basic_istream<_CharT, _Traits>& __is,
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piecewise_linear_distribution<_RT>& __x);
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};
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template<class _RealType>
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typename piecewise_linear_distribution<_RealType>::param_type &
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piecewise_linear_distribution<_RealType>::param_type::operator=
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(const param_type& __rhs)
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{
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// These can throw
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__b_.reserve (__rhs.__b_.size ());
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__densities_.reserve(__rhs.__densities_.size());
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__areas_.reserve (__rhs.__areas_.size());
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// These can not throw
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__b_ = __rhs.__b_;
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__densities_ = __rhs.__densities_;
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__areas_ = __rhs.__areas_;
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return *this;
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}
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template<class _RealType>
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void
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piecewise_linear_distribution<_RealType>::param_type::__init()
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{
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__areas_.assign(__densities_.size() - 1, result_type());
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result_type __sp = 0;
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for (size_t __i = 0; __i < __areas_.size(); ++__i)
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{
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__areas_[__i] = (__densities_[__i+1] + __densities_[__i]) *
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(__b_[__i+1] - __b_[__i]) * .5;
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__sp += __areas_[__i];
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}
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for (size_t __i = __areas_.size(); __i > 1;)
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{
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--__i;
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__areas_[__i] = __areas_[__i-1] / __sp;
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}
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__areas_[0] = 0;
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for (size_t __i = 1; __i < __areas_.size(); ++__i)
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__areas_[__i] += __areas_[__i-1];
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for (size_t __i = 0; __i < __densities_.size(); ++__i)
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__densities_[__i] /= __sp;
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}
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template<class _RealType>
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piecewise_linear_distribution<_RealType>::param_type::param_type()
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: __b_(2),
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__densities_(2, 1.0),
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__areas_(1, 0.0)
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{
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__b_[1] = 1;
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}
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template<class _RealType>
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template<class _InputIteratorB, class _InputIteratorW>
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piecewise_linear_distribution<_RealType>::param_type::param_type(
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_InputIteratorB __f_b, _InputIteratorB __l_b, _InputIteratorW __f_w)
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: __b_(__f_b, __l_b)
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{
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if (__b_.size() < 2)
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{
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__b_.resize(2);
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__b_[0] = 0;
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__b_[1] = 1;
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__densities_.assign(2, 1.0);
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__areas_.assign(1, 0.0);
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}
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else
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{
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__densities_.reserve(__b_.size());
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for (size_t __i = 0; __i < __b_.size(); ++__i, ++__f_w)
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__densities_.push_back(*__f_w);
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__init();
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}
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}
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#ifndef _LIBCPP_CXX03_LANG
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template<class _RealType>
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template<class _UnaryOperation>
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piecewise_linear_distribution<_RealType>::param_type::param_type(
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initializer_list<result_type> __bl, _UnaryOperation __fw)
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: __b_(__bl.begin(), __bl.end())
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{
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if (__b_.size() < 2)
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{
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__b_.resize(2);
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__b_[0] = 0;
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__b_[1] = 1;
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__densities_.assign(2, 1.0);
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__areas_.assign(1, 0.0);
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}
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else
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{
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__densities_.reserve(__b_.size());
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for (size_t __i = 0; __i < __b_.size(); ++__i)
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__densities_.push_back(__fw(__b_[__i]));
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__init();
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}
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}
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#endif // _LIBCPP_CXX03_LANG
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template<class _RealType>
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template<class _UnaryOperation>
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piecewise_linear_distribution<_RealType>::param_type::param_type(
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size_t __nw, result_type __xmin, result_type __xmax, _UnaryOperation __fw)
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: __b_(__nw == 0 ? 2 : __nw + 1)
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{
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size_t __n = __b_.size() - 1;
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result_type __d = (__xmax - __xmin) / __n;
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__densities_.reserve(__b_.size());
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for (size_t __i = 0; __i < __n; ++__i)
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{
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__b_[__i] = __xmin + __i * __d;
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__densities_.push_back(__fw(__b_[__i]));
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}
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__b_[__n] = __xmax;
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__densities_.push_back(__fw(__b_[__n]));
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__init();
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}
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template<class _RealType>
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template<class _URNG>
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_RealType
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piecewise_linear_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
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{
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static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
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typedef uniform_real_distribution<result_type> _Gen;
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result_type __u = _Gen()(__g);
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ptrdiff_t __k = _VSTD::upper_bound(__p.__areas_.begin(), __p.__areas_.end(),
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__u) - __p.__areas_.begin() - 1;
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__u -= __p.__areas_[__k];
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const result_type __dk = __p.__densities_[__k];
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const result_type __dk1 = __p.__densities_[__k+1];
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const result_type __deltad = __dk1 - __dk;
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const result_type __bk = __p.__b_[__k];
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if (__deltad == 0)
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return __u / __dk + __bk;
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const result_type __bk1 = __p.__b_[__k+1];
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const result_type __deltab = __bk1 - __bk;
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return (__bk * __dk1 - __bk1 * __dk +
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_VSTD::sqrt(__deltab * (__deltab * __dk * __dk + 2 * __deltad * __u))) /
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__deltad;
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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,
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const piecewise_linear_distribution<_RT>& __x)
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{
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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 |
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_OStream::scientific);
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_CharT __sp = __os.widen(' ');
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__os.fill(__sp);
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size_t __n = __x.__p_.__b_.size();
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__os << __n;
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for (size_t __i = 0; __i < __n; ++__i)
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__os << __sp << __x.__p_.__b_[__i];
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__n = __x.__p_.__densities_.size();
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__os << __sp << __n;
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for (size_t __i = 0; __i < __n; ++__i)
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__os << __sp << __x.__p_.__densities_[__i];
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__n = __x.__p_.__areas_.size();
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__os << __sp << __n;
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for (size_t __i = 0; __i < __n; ++__i)
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__os << __sp << __x.__p_.__areas_[__i];
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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,
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piecewise_linear_distribution<_RT>& __x)
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{
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typedef piecewise_linear_distribution<_RT> _Eng;
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typedef typename _Eng::result_type result_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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size_t __n;
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__is >> __n;
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vector<result_type> __b(__n);
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for (size_t __i = 0; __i < __n; ++__i)
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__is >> __b[__i];
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__is >> __n;
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vector<result_type> __densities(__n);
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for (size_t __i = 0; __i < __n; ++__i)
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__is >> __densities[__i];
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__is >> __n;
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vector<result_type> __areas(__n);
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for (size_t __i = 0; __i < __n; ++__i)
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__is >> __areas[__i];
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if (!__is.fail())
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{
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swap(__x.__p_.__b_, __b);
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swap(__x.__p_.__densities_, __densities);
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swap(__x.__p_.__areas_, __areas);
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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_PIECEWISE_LINEAR_DISTRIBUTION_H
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