forked from OSchip/llvm-project
184 lines
6.1 KiB
C++
184 lines
6.1 KiB
C++
//===----------------------------------------------------------------------===//
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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_NEGATIVE_BINOMIAL_DISTRIBUTION_H
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#define _LIBCPP___RANDOM_NEGATIVE_BINOMIAL_DISTRIBUTION_H
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#include <__config>
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#include <__random/bernoulli_distribution.h>
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#include <__random/gamma_distribution.h>
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#include <__random/is_valid.h>
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#include <__random/poisson_distribution.h>
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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 _IntType = int>
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class _LIBCPP_TEMPLATE_VIS negative_binomial_distribution
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{
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static_assert(__libcpp_random_is_valid_inttype<_IntType>::value, "IntType must be a supported integer type");
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public:
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// types
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typedef _IntType result_type;
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class _LIBCPP_TEMPLATE_VIS param_type
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{
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result_type __k_;
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double __p_;
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public:
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typedef negative_binomial_distribution distribution_type;
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_LIBCPP_INLINE_VISIBILITY
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explicit param_type(result_type __k = 1, double __p = 0.5)
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: __k_(__k), __p_(__p) {}
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_LIBCPP_INLINE_VISIBILITY
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result_type k() const {return __k_;}
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_LIBCPP_INLINE_VISIBILITY
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double p() const {return __p_;}
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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.__k_ == __y.__k_ && __x.__p_ == __y.__p_;}
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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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};
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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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#ifndef _LIBCPP_CXX03_LANG
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_LIBCPP_INLINE_VISIBILITY
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negative_binomial_distribution() : negative_binomial_distribution(1) {}
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_LIBCPP_INLINE_VISIBILITY
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explicit negative_binomial_distribution(result_type __k, double __p = 0.5)
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: __p_(__k, __p) {}
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#else
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_LIBCPP_INLINE_VISIBILITY
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explicit negative_binomial_distribution(result_type __k = 1,
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double __p = 0.5)
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: __p_(__k, __p) {}
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#endif
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_LIBCPP_INLINE_VISIBILITY
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explicit negative_binomial_distribution(const param_type& __p) : __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> 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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result_type k() const {return __p_.k();}
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_LIBCPP_INLINE_VISIBILITY
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double p() const {return __p_.p();}
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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 0;}
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_LIBCPP_INLINE_VISIBILITY
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result_type max() const {return numeric_limits<result_type>::max();}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator==(const negative_binomial_distribution& __x,
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const negative_binomial_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 negative_binomial_distribution& __x,
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const negative_binomial_distribution& __y)
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{return !(__x == __y);}
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};
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template <class _IntType>
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template<class _URNG>
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_IntType
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negative_binomial_distribution<_IntType>::operator()(_URNG& __urng, const param_type& __pr)
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{
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static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
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result_type __k = __pr.k();
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double __p = __pr.p();
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// When the number of bits in _IntType is small, we are too likely to
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// overflow __f below to use this technique.
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if (__k <= 21 * __p && sizeof(_IntType) > 1)
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{
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bernoulli_distribution __gen(__p);
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result_type __f = 0;
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result_type __s = 0;
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while (__s < __k)
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{
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if (__gen(__urng))
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++__s;
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else
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++__f;
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}
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_LIBCPP_ASSERT(__f >= 0, "std::negative_binomial_distribution should never produce negative values. "
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"This is almost certainly a signed integer overflow issue on __f.");
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return __f;
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}
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return poisson_distribution<result_type>(gamma_distribution<double>
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(__k, (1-__p)/__p)(__urng))(__urng);
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}
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template <class _CharT, class _Traits, class _IntType>
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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 negative_binomial_distribution<_IntType>& __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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return __os << __x.k() << __sp << __x.p();
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}
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template <class _CharT, class _Traits, class _IntType>
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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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negative_binomial_distribution<_IntType>& __x)
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{
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typedef negative_binomial_distribution<_IntType> _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 __k;
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double __p;
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__is >> __k >> __p;
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if (!__is.fail())
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__x.param(param_type(__k, __p));
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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_NEGATIVE_BINOMIAL_DISTRIBUTION_H
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