[rand.dist.norm.t]

llvm-svn: 104052

libcxx/include/random

@@ -1305,7 +1305,7 @@ public:
     class param_type
     {
     public:
-        typedef result_type distribution_type;
+        typedef fisher_f_distribution distribution_type;
 
         explicit param_type(result_type m = 1, result_type n = 1);
 
@@ -1354,7 +1354,60 @@ public:
 };
 
 template<class RealType = double>
-    class student_t_distribution;
+class student_t_distribution
+{
+public:
+    // types
+    typedef RealType result_type;
+
+    class param_type
+    {
+    public:
+        typedef student_t_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 student_t_distribution(result_type n = 1);
+    explicit student_t_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 student_t_distribution& x,
+                           const student_t_distribution& y);
+    friend bool operator!=(const student_t_distribution& x,
+                           const student_t_distribution& y);
+
+    template <class charT, class traits>
+    friend
+    basic_ostream<charT, traits>&
+    operator<<(basic_ostream<charT, traits>& os,
+               const student_t_distribution& x);
+    
+    template <class charT, class traits>
+    friend
+    basic_istream<charT, traits>&
+    operator>>(basic_istream<charT, traits>& is,
+               student_t_distribution& x);
+};
 
 template<class IntType = int>
     class discrete_distribution;
@@ -5123,6 +5176,100 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
     return __is;
 }
 
+template<class _RealType = double>
+class student_t_distribution
+{
+public:
+    // types
+    typedef _RealType result_type;
+
+    class param_type
+    {
+        result_type __n_;
+    public:
+        typedef student_t_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_;
+    normal_distribution<result_type> __nd_;
+
+public:
+    // constructor and reset functions
+    explicit student_t_distribution(result_type __n = 1)
+        : __p_(param_type(__n)) {}
+    explicit student_t_distribution(const param_type& __p)
+        : __p_(__p) {}
+    void reset() {__nd_.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 n() const {return __p_.n();}
+
+    param_type param() const {return __p_;}
+    void param(const param_type& __p) {return __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 student_t_distribution& __x,
+                           const student_t_distribution& __y)
+        {return __x.__p_ == __y.__p_;}
+    friend bool operator!=(const student_t_distribution& __x,
+                           const student_t_distribution& __y)
+        {return !(__x == __y);}
+};
+
+template <class _RealType>
+template<class _URNG>
+_RealType
+student_t_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
+{
+    gamma_distribution<result_type> __gd(__p.n() * .5, 2);
+    return __nd_(__g) * _STD::sqrt(__p.n()/__gd(__g));
+}
+
+template <class _CharT, class _Traits, class _RT>
+basic_ostream<_CharT, _Traits>&
+operator<<(basic_ostream<_CharT, _Traits>& __os,
+           const student_t_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,
+           student_t_distribution<_RT>& __x)
+{
+    typedef student_t_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

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/assign.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// student_t_distribution& operator=(const student_t_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::student_t_distribution<> D;
+    D d1(20.75);
+    D d2;
+    assert(d1 != d2);
+    d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/copy.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// student_t_distribution(const student_t_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::student_t_distribution<> D;
+    D d1(21.75);
+    D d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/ctor_double.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// explicit student_t_distribution(result_type alpha = 0, result_type beta = 1);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        D d;
+        assert(d.n() == 1);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        D d(14.5);
+        assert(d.n() == 14.5);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/ctor_param.pass.cpp

@@ -0,0 +1,29 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// explicit student_t_distribution(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        P p(0.25);
+        D d(p);
+        assert(d.n() == 0.25);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/eq.pass.cpp

@@ -0,0 +1,37 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// bool operator=(const student_t_distribution& x,
+//                const student_t_distribution& y);
+// bool operator!(const student_t_distribution& x,
+//                const student_t_distribution& y);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        D d1(2.5);
+        D d2(2.5);
+        assert(d1 == d2);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        D d1(4);
+        D d2(4.5);
+        assert(d1 != d2);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/eval.pass.cpp

@@ -0,0 +1,140 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g);
+
+#include <random>
+#include <cassert>
+#include <vector>
+#include <numeric>
+
+template <class T>
+inline
+T
+sqr(T x)
+{
+    return x * x;
+}
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        typedef std::minstd_rand G;
+        G g;
+        D d(5.5);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+            u.push_back(d(g));
+        double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size();
+        double var = 0;
+        double skew = 0;
+        double kurtosis = 0;
+        for (int i = 0; i < u.size(); ++i)
+        {
+            double d = (u[i] - mean);
+            double d2 = sqr(d);
+            var += d2;
+            skew += d * d2;
+            kurtosis += d2 * d2;
+        }
+        var /= u.size();
+        double dev = std::sqrt(var);
+        skew /= u.size() * dev * var;
+        kurtosis /= u.size() * var * var;
+        kurtosis -= 3;
+        double x_mean = 0;
+        double x_var = d.n() / (d.n() - 2);
+        double x_skew = 0;
+        double x_kurtosis = 6 / (d.n() - 4);
+        assert(std::abs(mean - x_mean) < 0.01);
+        assert(std::abs(var - x_var) / x_var < 0.01);
+        assert(std::abs(skew - x_skew) < 0.01);
+        assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.2);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        typedef std::minstd_rand G;
+        G g;
+        D d(10);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+            u.push_back(d(g));
+        double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size();
+        double var = 0;
+        double skew = 0;
+        double kurtosis = 0;
+        for (int i = 0; i < u.size(); ++i)
+        {
+            double d = (u[i] - mean);
+            double d2 = sqr(d);
+            var += d2;
+            skew += d * d2;
+            kurtosis += d2 * d2;
+        }
+        var /= u.size();
+        double dev = std::sqrt(var);
+        skew /= u.size() * dev * var;
+        kurtosis /= u.size() * var * var;
+        kurtosis -= 3;
+        double x_mean = 0;
+        double x_var = d.n() / (d.n() - 2);
+        double x_skew = 0;
+        double x_kurtosis = 6 / (d.n() - 4);
+        assert(std::abs(mean - x_mean) < 0.01);
+        assert(std::abs(var - x_var) / x_var < 0.01);
+        assert(std::abs(skew - x_skew) < 0.01);
+        assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.04);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        typedef std::minstd_rand G;
+        G g;
+        D d(100);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+            u.push_back(d(g));
+        double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size();
+        double var = 0;
+        double skew = 0;
+        double kurtosis = 0;
+        for (int i = 0; i < u.size(); ++i)
+        {
+            double d = (u[i] - mean);
+            double d2 = sqr(d);
+            var += d2;
+            skew += d * d2;
+            kurtosis += d2 * d2;
+        }
+        var /= u.size();
+        double dev = std::sqrt(var);
+        skew /= u.size() * dev * var;
+        kurtosis /= u.size() * var * var;
+        kurtosis -= 3;
+        double x_mean = 0;
+        double x_var = d.n() / (d.n() - 2);
+        double x_skew = 0;
+        double x_kurtosis = 6 / (d.n() - 4);
+        assert(std::abs(mean - x_mean) < 0.01);
+        assert(std::abs(var - x_var) / x_var < 0.01);
+        assert(std::abs(skew - x_skew) < 0.01);
+        assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.02);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/eval_param.pass.cpp

@@ -0,0 +1,143 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
+
+#include <random>
+#include <cassert>
+#include <vector>
+#include <numeric>
+
+template <class T>
+inline
+T
+sqr(T x)
+{
+    return x * x;
+}
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        typedef std::minstd_rand G;
+        G g;
+        D d;
+        P p(5.5);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+            u.push_back(d(g, p));
+        double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size();
+        double var = 0;
+        double skew = 0;
+        double kurtosis = 0;
+        for (int i = 0; i < u.size(); ++i)
+        {
+            double d = (u[i] - mean);
+            double d2 = sqr(d);
+            var += d2;
+            skew += d * d2;
+            kurtosis += d2 * d2;
+        }
+        var /= u.size();
+        double dev = std::sqrt(var);
+        skew /= u.size() * dev * var;
+        kurtosis /= u.size() * var * var;
+        kurtosis -= 3;
+        double x_mean = 0;
+        double x_var = p.n() / (p.n() - 2);
+        double x_skew = 0;
+        double x_kurtosis = 6 / (p.n() - 4);
+        assert(std::abs(mean - x_mean) < 0.01);
+        assert(std::abs(var - x_var) / x_var < 0.01);
+        assert(std::abs(skew - x_skew) < 0.01);
+        assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.2);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        typedef std::minstd_rand G;
+        G g;
+        D d;
+        P p(10);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+            u.push_back(d(g, p));
+        double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size();
+        double var = 0;
+        double skew = 0;
+        double kurtosis = 0;
+        for (int i = 0; i < u.size(); ++i)
+        {
+            double d = (u[i] - mean);
+            double d2 = sqr(d);
+            var += d2;
+            skew += d * d2;
+            kurtosis += d2 * d2;
+        }
+        var /= u.size();
+        double dev = std::sqrt(var);
+        skew /= u.size() * dev * var;
+        kurtosis /= u.size() * var * var;
+        kurtosis -= 3;
+        double x_mean = 0;
+        double x_var = p.n() / (p.n() - 2);
+        double x_skew = 0;
+        double x_kurtosis = 6 / (p.n() - 4);
+        assert(std::abs(mean - x_mean) < 0.01);
+        assert(std::abs(var - x_var) / x_var < 0.01);
+        assert(std::abs(skew - x_skew) < 0.01);
+        assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.04);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        typedef std::minstd_rand G;
+        G g;
+        D d;
+        P p(100);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+            u.push_back(d(g, p));
+        double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size();
+        double var = 0;
+        double skew = 0;
+        double kurtosis = 0;
+        for (int i = 0; i < u.size(); ++i)
+        {
+            double d = (u[i] - mean);
+            double d2 = sqr(d);
+            var += d2;
+            skew += d * d2;
+            kurtosis += d2 * d2;
+        }
+        var /= u.size();
+        double dev = std::sqrt(var);
+        skew /= u.size() * dev * var;
+        kurtosis /= u.size() * var * var;
+        kurtosis -= 3;
+        double x_mean = 0;
+        double x_var = p.n() / (p.n() - 2);
+        double x_skew = 0;
+        double x_kurtosis = 6 / (p.n() - 4);
+        assert(std::abs(mean - x_mean) < 0.01);
+        assert(std::abs(var - x_var) / x_var < 0.01);
+        assert(std::abs(skew - x_skew) < 0.01);
+        assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.02);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/get_param.pass.cpp

@@ -0,0 +1,29 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// param_type param() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        P p(.125);
+        D d(p);
+        assert(d.param() == p);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/io.pass.cpp

@@ -0,0 +1,41 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// template <class CharT, class Traits, class RealType>
+// basic_ostream<CharT, Traits>&
+// operator<<(basic_ostream<CharT, Traits>& os,
+//            const student_t_distribution<RealType>& x);
+
+// template <class CharT, class Traits, class RealType>
+// basic_istream<CharT, Traits>&
+// operator>>(basic_istream<CharT, Traits>& is,
+//            student_t_distribution<RealType>& x);
+
+#include <random>
+#include <sstream>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        D d1(7);
+        std::ostringstream os;
+        os << d1;
+        std::istringstream is(os.str());
+        D d2;
+        is >> d2;
+        assert(d1 == d2);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/max.pass.cpp

@@ -0,0 +1,28 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// result_type max() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        D d(5);
+        D::result_type m = d.max();
+        assert(m == INFINITY);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/min.pass.cpp

@@ -0,0 +1,27 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+
+// result_type min() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        D d(.5);
+        assert(d.min() == -INFINITY);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/param_assign.pass.cpp

@@ -0,0 +1,31 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type param_type;
+        param_type p0(.75);
+        param_type p;
+        p = p0;
+        assert(p.n() == .75);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/param_copy.pass.cpp

@@ -0,0 +1,30 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type param_type;
+        param_type p0(10);
+        param_type p = p0;
+        assert(p.n() == 10);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/param_ctor.pass.cpp

@@ -0,0 +1,35 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type param_type;
+        param_type p;
+        assert(p.n() == 1);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type param_type;
+        param_type p(10);
+        assert(p.n() == 10);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/param_eq.pass.cpp

@@ -0,0 +1,37 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type param_type;
+        param_type p1(0.75);
+        param_type p2(0.75);
+        assert(p1 == p2);
+    }
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type param_type;
+        param_type p1(0.75);
+        param_type p2(0.5);
+        assert(p1 != p2);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/param_types.pass.cpp

@@ -0,0 +1,28 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <type_traits>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type param_type;
+        typedef param_type::distribution_type distribution_type;
+        static_assert((std::is_same<D, distribution_type>::value), "");
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/set_param.pass.cpp

@@ -0,0 +1,30 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution;
+
+// void param(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::param_type P;
+        P p(0.25);
+        D d(0.75);
+        d.param(p);
+        assert(d.param() == p);
+    }
+}

libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/types.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class student_t_distribution
+// {
+// public:
+//     // types
+//     typedef RealType result_type;
+
+#include <random>
+#include <type_traits>
+
+int main()
+{
+    {
+        typedef std::student_t_distribution<> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, double>::value), "");
+    }
+    {
+        typedef std::student_t_distribution<float> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, float>::value), "");
+    }
+}