[rand.dist.pois.extreme]
git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@103942 91177308-0d34-0410-b5e6-96231b3b80d8
diff --git a/include/random b/include/random
index d5dafb1..afed529 100644
--- a/include/random
+++ b/include/random
@@ -989,7 +989,6 @@
result_type min() const;
result_type max() const;
-
friend bool operator==(const weibull_distribution& x,
const weibull_distribution& y);
friend bool operator!=(const weibull_distribution& x,
@@ -1009,7 +1008,62 @@
};
template<class RealType = double>
- class extreme_value_distribution;
+class extreme_value_distribution
+{
+public:
+ // types
+ typedef RealType result_type;
+
+ class param_type
+ {
+ public:
+ typedef extreme_value_distribution distribution_type;
+
+ explicit param_type(result_type a = 0, result_type b = 1);
+
+ result_type a() const;
+ result_type b() const;
+
+ friend bool operator==(const param_type& x, const param_type& y);
+ friend bool operator!=(const param_type& x, const param_type& y);
+ };
+
+ // constructor and reset functions
+ explicit extreme_value_distribution(result_type a = 0, result_type b = 1);
+ explicit extreme_value_distribution(const param_type& parm);
+ void reset();
+
+ // generating functions
+ template<class URNG> result_type operator()(URNG& g);
+ template<class URNG> result_type operator()(URNG& g, const param_type& parm);
+
+ // property functions
+ result_type a() const;
+ result_type b() const;
+
+ param_type param() const;
+ void param(const param_type& parm);
+
+ result_type min() const;
+ result_type max() const;
+
+ friend bool operator==(const extreme_value_distribution& x,
+ const extreme_value_distribution& y);
+ friend bool operator!=(const extreme_value_distribution& x,
+ const extreme_value_distribution& y);
+
+ template <class charT, class traits>
+ friend
+ basic_ostream<charT, traits>&
+ operator<<(basic_ostream<charT, traits>& os,
+ const extreme_value_distribution& x);
+
+ template <class charT, class traits>
+ friend
+ basic_istream<charT, traits>&
+ operator>>(basic_istream<charT, traits>& is,
+ extreme_value_distribution& x);
+};
template<class RealType = double>
class normal_distribution
@@ -4053,6 +4107,106 @@
return __is;
}
+template<class _RealType = double>
+class extreme_value_distribution
+{
+public:
+ // types
+ typedef _RealType result_type;
+
+ class param_type
+ {
+ result_type __a_;
+ result_type __b_;
+ public:
+ typedef extreme_value_distribution distribution_type;
+
+ explicit param_type(result_type __a = 0, result_type __b = 1)
+ : __a_(__a), __b_(__b) {}
+
+ result_type a() const {return __a_;}
+ result_type b() const {return __b_;}
+
+ friend bool operator==(const param_type& __x, const param_type& __y)
+ {return __x.__a_ == __y.__a_ && __x.__b_ == __y.__b_;}
+ friend bool operator!=(const param_type& __x, const param_type& __y)
+ {return !(__x == __y);}
+ };
+
+private:
+ param_type __p_;
+
+public:
+ // constructor and reset functions
+ explicit extreme_value_distribution(result_type __a = 0, result_type __b = 1)
+ : __p_(param_type(__a, __b)) {}
+ explicit extreme_value_distribution(const param_type& __p)
+ : __p_(__p) {}
+ void reset() {}
+
+ // generating functions
+ template<class _URNG> result_type operator()(_URNG& __g)
+ {return (*this)(__g, __p_);}
+ template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
+
+ // property functions
+ result_type a() const {return __p_.a();}
+ result_type b() const {return __p_.b();}
+
+ param_type param() const {return __p_;}
+ void param(const param_type& __p) {__p_ = __p;}
+
+ result_type min() const {return -numeric_limits<result_type>::infinity();}
+ result_type max() const {return numeric_limits<result_type>::infinity();}
+
+ friend bool operator==(const extreme_value_distribution& __x,
+ const extreme_value_distribution& __y)
+ {return __x.__p_ == __y.__p_;}
+ friend bool operator!=(const extreme_value_distribution& __x,
+ const extreme_value_distribution& __y)
+ {return !(__x == __y);}
+};
+
+template<class _RealType>
+template<class _URNG>
+_RealType
+extreme_value_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
+{
+ return __p.a() - __p.b() *
+ _STD::log(-_STD::log(1-uniform_real_distribution<result_type>()(__g)));
+}
+
+template <class _CharT, class _Traits, class _RT>
+basic_ostream<_CharT, _Traits>&
+operator<<(basic_ostream<_CharT, _Traits>& __os,
+ const extreme_value_distribution<_RT>& __x)
+{
+ __save_flags<_CharT, _Traits> _(__os);
+ __os.flags(ios_base::dec | ios_base::left);
+ _CharT __sp = __os.widen(' ');
+ __os.fill(__sp);
+ __os << __x.a() << __sp << __x.b();
+ return __os;
+}
+
+template <class _CharT, class _Traits, class _RT>
+basic_istream<_CharT, _Traits>&
+operator>>(basic_istream<_CharT, _Traits>& __is,
+ extreme_value_distribution<_RT>& __x)
+{
+ typedef extreme_value_distribution<_RT> _Eng;
+ typedef typename _Eng::result_type result_type;
+ typedef typename _Eng::param_type param_type;
+ __save_flags<_CharT, _Traits> _(__is);
+ __is.flags(ios_base::dec | ios_base::skipws);
+ result_type __a;
+ result_type __b;
+ __is >> __a >> __b;
+ if (!__is.fail())
+ __x.param(param_type(__a, __b));
+ return __is;
+}
+
// gamma_distribution
template<class _RealType = double>