[rand.dist.norm.normal]
git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@103646 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
214
include/random
214
include/random
@@ -686,16 +686,16 @@ public:
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public:
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typedef exponential_distribution distribution_type;
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explicit param_type(RealType lambda = 1.0);
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explicit param_type(result_type lambda = 1.0);
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RealType lambda() const;
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result_type lambda() const;
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friend bool operator==(const param_type& x, const param_type& y);
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friend bool operator!=(const param_type& x, const param_type& y);
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};
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// constructors and reset functions
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explicit exponential_distribution(RealType lambda = 1.0);
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explicit exponential_distribution(result_type lambda = 1.0);
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explicit exponential_distribution(const param_type& parm);
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void reset();
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@@ -704,7 +704,7 @@ public:
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template<class URNG> result_type operator()(URNG& g, const param_type& parm);
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// property functions
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RealType lambda() const;
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result_type lambda() const;
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param_type param() const;
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void param(const param_type& parm);
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@@ -740,7 +740,62 @@ template<class RealType = double>
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class extreme_value_distribution;
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template<class RealType = double>
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class normal_distribution;
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class 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 param_type
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{
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public:
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typedef normal_distribution distribution_type;
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explicit param_type(result_type mean = 0, result_type stddev = 1);
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result_type mean() const;
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result_type stddev() const;
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friend bool operator==(const param_type& x, const param_type& y);
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friend bool operator!=(const param_type& x, const param_type& y);
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};
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// constructors and reset functions
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explicit normal_distribution(result_type mean = 0, result_type stddev = 1);
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explicit normal_distribution(const param_type& parm);
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void reset();
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// generating functions
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template<class URNG> result_type operator()(URNG& g);
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template<class URNG> result_type operator()(URNG& g, const param_type& parm);
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// property functions
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result_type mean() const;
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result_type stddev() const;
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param_type param() const;
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void param(const param_type& parm);
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result_type min() const;
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result_type max() const;
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friend bool operator==(const normal_distribution& x,
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const normal_distribution& y);
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friend bool operator!=(const normal_distribution& x,
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const normal_distribution& y);
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template <class charT, class traits>
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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& x);
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template <class charT, class traits>
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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& x);
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};
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template<class RealType = double>
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class lognormal_distribution;
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@@ -3171,6 +3226,155 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
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return __is;
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}
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// normal_distribution
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template<class _RealType = double>
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class 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 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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explicit param_type(result_type __mean = 0, result_type __stddev = 1)
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: __mean_(__mean), __stddev_(__stddev) {}
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result_type mean() const {return __mean_;}
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result_type stddev() const {return __stddev_;}
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friend 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 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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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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explicit normal_distribution(const param_type& __p)
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: __p_(__p), _V_hot_(false) {}
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void reset() {_V_hot_ = false;}
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// generating functions
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template<class _URNG> 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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result_type mean() const {return __p_.mean();}
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result_type stddev() const {return __p_.stddev();}
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param_type param() const {return __p_;}
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void param(const param_type& __p) {__p_ = __p;}
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result_type min() const {return -numeric_limits<result_type>::infinity();}
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result_type max() const {return numeric_limits<result_type>::infinity();}
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friend 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 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 _U;
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if (_V_hot_)
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{
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_V_hot_ = false;
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_U = _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 _F = _STD::sqrt(-2 * _STD::log(__s) / __s);
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_V_ = __v * _F;
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_V_hot_ = true;
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_U = __u * _F;
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}
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return _U * __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> _(__os);
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__os.flags(ios_base::dec | ios_base::left);
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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> _(__is);
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__is.flags(ios_base::dec | ios_base::skipws);
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result_type __mean;
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result_type __stddev;
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result_type _V = 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 >> _V;
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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_ = _V;
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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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#endif // _LIBCPP_RANDOM
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