[rand.dist.norm.chisq]

git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@103888 91177308-0d34-0410-b5e6-96231b3b80d8
2010-05-15 23:36:00 +00:00
parent 6add8ddfef
commit 97dc2f35c3
22 changed files with 886 additions and 1 deletions
--- a/include/random
+++ b/include/random
@@ -909,7 +909,61 @@ template<class RealType = double>
    class lognormal_distribution;

 template<class RealType = double>
-    class chi_squared_distribution;
+class chi_squared_distribution
+{
+public:
+    // types
+    typedef RealType result_type;
+
+    class param_type
+    {
+    public:
+        typedef chi_squared_distribution distribution_type;
+
+        explicit param_type(result_type n = 1);
+
+        result_type n() 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 chi_squared_distribution(result_type n = 1);
+    explicit chi_squared_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 n() const;
+
+    param_type param() const;
+    void param(const param_type& parm);
+
+    result_type min() const;
+    result_type max() const;
+
+
+    friend bool operator==(const chi_squared_distribution& x,
+                           const chi_squared_distribution& y);
+    friend bool operator!=(const chi_squared_distribution& x,
+                           const chi_squared_distribution& y);
+
+    template <class charT, class traits>
+    friend
+    basic_ostream<charT, traits>&
+    operator<<(basic_ostream<charT, traits>& os,
+               const chi_squared_distribution& x);
+    
+    template <class charT, class traits>
+    friend
+    basic_istream<charT, traits>&
+    operator>>(basic_istream<charT, traits>& is,
+               chi_squared_distribution& x);
+};

 template<class RealType = double>
    class cauchy_distribution;
@@ -3894,6 +3948,94 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
    return __is;
 }

+// chi_squared_distribution
+
+template<class _RealType = double>
+class chi_squared_distribution
+{
+public:
+    // types
+    typedef _RealType result_type;
+
+    class param_type
+    {
+        result_type __n_;
+    public:
+        typedef chi_squared_distribution distribution_type;
+
+        explicit param_type(result_type __n = 1) : __n_(__n) {}
+
+        result_type n() const {return __n_;}
+
+        friend bool operator==(const param_type& __x, const param_type& __y)
+            {return __x.__n_ == __y.__n_;}
+        friend bool operator!=(const param_type& __x, const param_type& __y)
+            {return !(__x == __y);}
+    };
+
+private:
+    param_type __p_;
+
+public:
+    // constructor and reset functions
+    explicit chi_squared_distribution(result_type __n = 1)
+        : __p_(param_type(__n)) {}
+    explicit chi_squared_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)
+        {return gamma_distribution<result_type>(__p.n() / 2, 2)(__g);}
+
+    // property functions
+    result_type n() const {return __p_.n();}
+
+    param_type param() const {return __p_;}
+    void param(const param_type& __p) {__p_ = __p;}
+
+    result_type min() const {return 0;}
+    result_type max() const {return numeric_limits<result_type>::infinity();} 
+
+
+    friend bool operator==(const chi_squared_distribution& __x,
+                           const chi_squared_distribution& __y)
+        {return __x.__p_ == __y.__p_;}
+    friend bool operator!=(const chi_squared_distribution& __x,
+                           const chi_squared_distribution& __y)
+        {return !(__x == __y);}
+};
+
+template <class _CharT, class _Traits, class _RT>
+basic_ostream<_CharT, _Traits>&
+operator<<(basic_ostream<_CharT, _Traits>& __os,
+           const chi_squared_distribution<_RT>& __x)
+{
+    __save_flags<_CharT, _Traits> _(__os);
+    __os.flags(ios_base::dec | ios_base::left);
+    __os << __x.n();
+    return __os;
+}
+
+template <class _CharT, class _Traits, class _RT>
+basic_istream<_CharT, _Traits>&
+operator>>(basic_istream<_CharT, _Traits>& __is,
+           chi_squared_distribution<_RT>& __x)
+{
+    typedef chi_squared_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 __n;
+    __is >> __n;
+    if (!__is.fail())
+        __x.param(param_type(__n));
+    return __is;
+}
+
 _LIBCPP_END_NAMESPACE_STD

 #endif  // _LIBCPP_RANDOM