209 lines
		
	
	
		
			6.3 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			209 lines
		
	
	
		
			6.3 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_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/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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{
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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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        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_INLINE_VISIBILITY
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        explicit param_type(result_type __mean = 0, result_type __stddev = 1)
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            : __mean_(__mean), __stddev_(__stddev) {}
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        _LIBCPP_INLINE_VISIBILITY
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        result_type mean() const {return __mean_;}
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        _LIBCPP_INLINE_VISIBILITY
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        result_type stddev() const {return __stddev_;}
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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.__mean_ == __y.__mean_ && __x.__stddev_ == __y.__stddev_;}
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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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    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_INLINE_VISIBILITY
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    normal_distribution() : normal_distribution(0) {}
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    _LIBCPP_INLINE_VISIBILITY
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    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_INLINE_VISIBILITY
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    explicit normal_distribution(result_type __mean = 0,
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                                 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_INLINE_VISIBILITY
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    explicit normal_distribution(const param_type& __p)
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        : __p_(__p), _V_hot_(false) {}
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    _LIBCPP_INLINE_VISIBILITY
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    void reset() {_V_hot_ = false;}
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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 mean() const {return __p_.mean();}
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    _LIBCPP_INLINE_VISIBILITY
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    result_type stddev() const {return __p_.stddev();}
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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 -numeric_limits<result_type>::infinity();}
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    _LIBCPP_INLINE_VISIBILITY
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    result_type max() const {return numeric_limits<result_type>::infinity();}
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    friend _LIBCPP_INLINE_VISIBILITY
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        bool operator==(const normal_distribution& __x,
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                        const normal_distribution& __y)
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        {return __x.__p_ == __y.__p_ && __x._V_hot_ == __y._V_hot_ &&
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                (!__x._V_hot_ || __x._V_ == __y._V_);}
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    friend _LIBCPP_INLINE_VISIBILITY
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        bool operator!=(const normal_distribution& __x,
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                        const normal_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 normal_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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               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
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normal_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
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{
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    result_type _Up;
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    if (_V_hot_)
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    {
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        _V_hot_ = false;
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        _Up = _V_;
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    }
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    else
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    {
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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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        {
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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 = _VSTD::sqrt(-2 * _VSTD::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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basic_ostream<_CharT, _Traits>&
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operator<<(basic_ostream<_CharT, _Traits>& __os,
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           const normal_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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    __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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basic_istream<_CharT, _Traits>&
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operator>>(basic_istream<_CharT, _Traits>& __is,
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           normal_distribution<_RT>& __x)
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{
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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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    {
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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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