Move test into test/std subdirectory.

git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@224658 91177308-0d34-0410-b5e6-96231b3b80d8

test/std/numerics/rand/rand.dis/rand.dist.samp/nothing_to_do.pass.cpp

@@ -0,0 +1,12 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+int main()
+{
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/assign.pass.cpp

@@ -0,0 +1,35 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// discrete_distribution& operator=(const discrete_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::discrete_distribution<> D;
+    double p[] = {2, 4, 1, 8};
+    D d1(p, p+4);
+    D d2;
+    assert(d1 != d2);
+    d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/copy.pass.cpp

@@ -0,0 +1,33 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// discrete_distribution(const discrete_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::discrete_distribution<> D;
+    double p[] = {2, 4, 1, 8};
+    D d1(p, p+4);
+    D d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/ctor_default.pass.cpp

@@ -0,0 +1,29 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// discrete_distribution();
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        D d;
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/ctor_func.pass.cpp

@@ -0,0 +1,60 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// template<class UnaryOperation>
+//     discrete_distribution(size_t nw, double xmin, double xmax,
+//                           UnaryOperation fw);
+
+#include <random>
+#include <cassert>
+
+double fw(double x)
+{
+    return x+1;
+}
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        D d(0, 0, 1, fw);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d(1, 0, 1, fw);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d(2, 0.5, 1.5, fw);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == .4375);
+        assert(p[1] == .5625);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d(4, 0, 2, fw);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 4);
+        assert(p[0] == .15625);
+        assert(p[1] == .21875);
+        assert(p[2] == .28125);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/ctor_init.pass.cpp

@@ -0,0 +1,81 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// discrete_distribution(initializer_list<double> wl);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::discrete_distribution<> D;
+        D d = {};
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d = {10};
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d = {10, 30};
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.25);
+        assert(p[1] == 0.75);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d = {30, 10};
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d = {30, 0, 10};
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d = {0, 30, 10};
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0.75);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        D d = {0, 0, 10};
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0);
+        assert(p[2] == 1);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/ctor_iterator.pass.cpp

@@ -0,0 +1,87 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// template<class InputIterator>
+//     discrete_distribution(InputIterator firstW, InputIterator lastW);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {1};
+        D d(p0, p0);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {10};
+        D d(p0, p0+1);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {10, 30};
+        D d(p0, p0+2);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.25);
+        assert(p[1] == 0.75);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {30, 10};
+        D d(p0, p0+2);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {30, 0, 10};
+        D d(p0, p0+3);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {0, 30, 10};
+        D d(p0, p0+3);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0.75);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {0, 0, 10};
+        D d(p0, p0+3);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0);
+        assert(p[2] == 1);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/ctor_param.pass.cpp

@@ -0,0 +1,33 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// explicit discrete_distribution(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {10, 30};
+        P pa(p0, p0+2);
+        D d(pa);
+        std::vector<double> p = d.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.25);
+        assert(p[1] == 0.75);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/eq.pass.cpp

@@ -0,0 +1,45 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// bool operator=(const discrete_distribution& x,
+//                const discrete_distribution& y);
+// bool operator!(const discrete_distribution& x,
+//                const discrete_distribution& y);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        D d1;
+        D d2;
+        assert(d1 == d2);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {1};
+        D d1(p0, p0+1);
+        D d2;
+        assert(d1 == d2);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {10, 30};
+        D d1(p0, p0+2);
+        D d2;
+        assert(d1 != d2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/eval.pass.cpp

@@ -0,0 +1,279 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// REQUIRES: long_tests
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g);
+
+#include <random>
+#include <vector>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        D d;
+        const int N = 100;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            assert((double)u[i]/N == prob[i]);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {.3};
+        D d(p0, p0+1);
+        const int N = 100;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            assert((double)u[i]/N == prob[i]);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {.75, .25};
+        D d(p0, p0+2);
+        const int N = 1000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {0, 1};
+        D d(p0, p0+2);
+        const int N = 1000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        assert((double)u[0]/N == prob[0]);
+        assert((double)u[1]/N == prob[1]);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {1, 0};
+        D d(p0, p0+2);
+        const int N = 1000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        assert((double)u[0]/N == prob[0]);
+        assert((double)u[1]/N == prob[1]);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {.3, .1, .6};
+        D d(p0, p0+3);
+        const int N = 10000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {0, 25, 75};
+        D d(p0, p0+3);
+        const int N = 1000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            if (prob[i] != 0)
+                assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+            else
+                assert(u[i] == 0);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {25, 0, 75};
+        D d(p0, p0+3);
+        const int N = 1000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            if (prob[i] != 0)
+                assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+            else
+                assert(u[i] == 0);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {25, 75, 0};
+        D d(p0, p0+3);
+        const int N = 1000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            if (prob[i] != 0)
+                assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+            else
+                assert(u[i] == 0);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {0, 0, 1};
+        D d(p0, p0+3);
+        const int N = 100;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            if (prob[i] != 0)
+                assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+            else
+                assert(u[i] == 0);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {0, 1, 0};
+        D d(p0, p0+3);
+        const int N = 100;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            if (prob[i] != 0)
+                assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+            else
+                assert(u[i] == 0);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {1, 0, 0};
+        D d(p0, p0+3);
+        const int N = 100;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            if (prob[i] != 0)
+                assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+            else
+                assert(u[i] == 0);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef std::minstd_rand G;
+        G g;
+        double p0[] = {33, 0, 0, 67};
+        D d(p0, p0+3);
+        const int N = 1000000;
+        std::vector<D::result_type> u(d.max()+1);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v <= d.max());
+            u[v]++;
+        }
+        std::vector<double> prob = d.probabilities();
+        for (int i = 0; i <= d.max(); ++i)
+            if (prob[i] != 0)
+                assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+            else
+                assert(u[i] == 0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/eval_param.pass.cpp

@@ -0,0 +1,45 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// REQUIRES: long_tests
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
+
+#include <random>
+#include <vector>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        typedef std::minstd_rand G;
+        G g;
+        D d;
+        double p0[] = {.3, .1, .6};
+        P p(p0, p0+3);
+        const int N = 10000000;
+        std::vector<D::result_type> u(3);
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g, p);
+            assert(0 <= v && v <= 2);
+            u[v]++;
+        }
+        std::vector<double> prob = p.probabilities();
+        for (int i = 0; i <= 2; ++i)
+            assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/get_param.pass.cpp

@@ -0,0 +1,30 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// param_type param() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {.3, .1, .6};
+        P p(p0, p0+3);
+        D d(p);
+        assert(d.param() == p);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/io.pass.cpp

@@ -0,0 +1,42 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// template <class charT, class traits>
+// basic_ostream<charT, traits>&
+// operator<<(basic_ostream<charT, traits>& os,
+//            const discrete_distribution& x);
+//
+// template <class charT, class traits>
+// basic_istream<charT, traits>&
+// operator>>(basic_istream<charT, traits>& is,
+//            discrete_distribution& x);
+
+#include <random>
+#include <sstream>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {.3, .1, .6};
+        D d1(p0, p0+3);
+        std::ostringstream os;
+        os << d1;
+        std::istringstream is(os.str());
+        D d2;
+        is >> d2;
+        assert(d1 == d2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/max.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// result_type max() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {.3, .1, .6};
+        D d(p0, p0+3);
+        assert(d.max() == 2);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {.3, .1, .6, .2};
+        D d(p0, p0+4);
+        assert(d.max() == 3);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/min.pass.cpp

@@ -0,0 +1,28 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// result_type min() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        double p0[] = {.3, .1, .6};
+        D d(p0, p0+3);
+        assert(d.min() == 0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_assign.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type param_type;
+        double d0[] = {.3, .1, .6};
+        param_type p0(d0, d0+3);
+        param_type p;
+        p = p0;
+        assert(p == p0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_copy.pass.cpp

@@ -0,0 +1,31 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type param_type;
+        double d0[] = {.3, .1, .6};
+        param_type p0(d0, d0+3);
+        param_type p = p0;
+        assert(p == p0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_ctor_default.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// param_type(initializer_list<double> wl);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {1};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_ctor_func.pass.cpp

@@ -0,0 +1,64 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// template<class UnaryOperation>
+//     param_type(size_t nw, double xmin, double xmax,
+//                           UnaryOperation fw);
+
+#include <random>
+#include <cassert>
+
+double fw(double x)
+{
+    return x+1;
+}
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa(0, 0, 1, fw);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa(1, 0, 1, fw);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa(2, 0.5, 1.5, fw);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == .4375);
+        assert(p[1] == .5625);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa(4, 0, 2, fw);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 4);
+        assert(p[0] == .15625);
+        assert(p[1] == .21875);
+        assert(p[2] == .28125);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_ctor_init.pass.cpp

@@ -0,0 +1,88 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// param_type(initializer_list<double> wl);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {10};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {10, 30};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.25);
+        assert(p[1] == 0.75);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {30, 10};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {30, 0, 10};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {0, 30, 10};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0.75);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        P pa = {0, 0, 10};
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0);
+        assert(p[2] == 1);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_ctor_iterator.pass.cpp

@@ -0,0 +1,94 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// template<class InputIterator>
+//     param_type(InputIterator firstW, InputIterator lastW);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {1};
+        P pa(p0, p0);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {10};
+        P pa(p0, p0+1);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 1);
+        assert(p[0] == 1);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {10, 30};
+        P pa(p0, p0+2);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.25);
+        assert(p[1] == 0.75);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {30, 10};
+        P pa(p0, p0+2);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 2);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {30, 0, 10};
+        P pa(p0, p0+3);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0.75);
+        assert(p[1] == 0);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {0, 30, 10};
+        P pa(p0, p0+3);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0.75);
+        assert(p[2] == 0.25);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double p0[] = {0, 0, 10};
+        P pa(p0, p0+3);
+        std::vector<double> p = pa.probabilities();
+        assert(p.size() == 3);
+        assert(p[0] == 0);
+        assert(p[1] == 0);
+        assert(p[2] == 1);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_eq.pass.cpp

@@ -0,0 +1,39 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type param_type;
+        double p0[] = {30, 10};
+        param_type p1(p0, p0+2);
+        param_type p2(p0, p0+2);
+        assert(p1 == p2);
+    }
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type param_type;
+        double p0[] = {30, 10};
+        param_type p1(p0, p0+2);
+        param_type p2;
+        assert(p1 != p2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/param_types.pass.cpp

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

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/set_param.pass.cpp

@@ -0,0 +1,31 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+
+// void param(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::param_type P;
+        double d0[] = {.3, .1, .6};
+        P p(d0, d0+3);
+        D d;
+        d.param(p);
+        assert(d.param() == p);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.discrete/types.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class IntType = int>
+// class discrete_distribution
+// {
+//     typedef bool result_type;
+
+#include <random>
+#include <type_traits>
+
+int main()
+{
+    {
+        typedef std::discrete_distribution<> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, int>::value), "");
+    }
+    {
+        typedef std::discrete_distribution<long> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, long>::value), "");
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/assign.pass.cpp

@@ -0,0 +1,36 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// piecewise_constant_distribution& operator=(const piecewise_constant_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::piecewise_constant_distribution<> D;
+    double p[] = {2, 4, 1, 8};
+    double b[] = {2, 4, 5, 8, 9};
+    D d1(b, b+5, p);
+    D d2;
+    assert(d1 != d2);
+    d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/copy.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// piecewise_constant_distribution(const piecewise_constant_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::piecewise_constant_distribution<> D;
+    double p[] = {2, 4, 1, 8};
+    double b[] = {2, 4, 5, 8, 9};
+    D d1(b, b+5, p);
+    D d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/ctor_default.pass.cpp

@@ -0,0 +1,35 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// piecewise_constant_distribution(initializer_list<double> wl);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d;
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/ctor_func.pass.cpp

@@ -0,0 +1,64 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// template<class UnaryOperation>
+//     piecewise_constant_distribution(size_t nw, result_type xmin,
+//                                     result_type xmax, UnaryOperation fw);
+
+#include <random>
+#include <cassert>
+
+double fw(double x)
+{
+    return 2*x;
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d(0, 0, 1, fw);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d(1, 10, 12, fw);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 12);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 0.5);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d(2, 6, 14, fw);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 6);
+        assert(iv[1] == 10);
+        assert(iv[2] == 14);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 0.1);
+        assert(dn[1] == 0.15);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/ctor_init_func.pass.cpp

@@ -0,0 +1,78 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// piecewise_constant_distribution(initializer_list<result_type> bl,
+//                                 UnaryOperation fw);
+
+#include <iostream>
+
+#include <random>
+#include <cassert>
+
+double f(double x)
+{
+    return x*2;
+}
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d({}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d({12}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d({12, 14}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 12);
+        assert(iv[1] == 14);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 0.5);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d({5.5, 7.5, 11.5}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 5.5);
+        assert(iv[1] == 7.5);
+        assert(iv[2] == 11.5);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 0.203125);
+        assert(dn[1] == 0.1484375);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/ctor_iterator.pass.cpp

@@ -0,0 +1,96 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// template<class InputIterator>
+//     piecewise_constant_distribution(InputIteratorB firstB,
+//                                     InputIteratorB lastB,
+//                                     InputIteratorW firstW);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10};
+        double p[] = {12};
+        D d(b, b, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10};
+        double p[] = {12};
+        D d(b, b+1, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 15};
+        double p[] = {12};
+        D d(b, b+2, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1/5.);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 15, 16};
+        double p[] = {.25, .75};
+        D d(b, b+3, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        assert(iv[2] == 16);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == .25/5.);
+        assert(dn[1] == .75);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        D d(b, b+4, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 4);
+        assert(iv[0] == 10);
+        assert(iv[1] == 14);
+        assert(iv[2] == 16);
+        assert(iv[3] == 17);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == .0625);
+        assert(dn[1] == .3125);
+        assert(dn[2] == .125);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/ctor_param.pass.cpp

@@ -0,0 +1,41 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// explicit piecewise_constant_distribution(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        P pa(b, b+4, p);
+        D d(pa);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 4);
+        assert(iv[0] == 10);
+        assert(iv[1] == 14);
+        assert(iv[2] == 16);
+        assert(iv[3] == 17);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == .0625);
+        assert(dn[1] == .3125);
+        assert(dn[2] == .125);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/eq.pass.cpp

@@ -0,0 +1,47 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// bool operator=(const piecewise_constant_distribution& x,
+//                const piecewise_constant_distribution& y);
+// bool operator!(const piecewise_constant_distribution& x,
+//                const piecewise_constant_distribution& y);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        D d1;
+        D d2;
+        assert(d1 == d2);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        D d1(b, b+4, p);
+        D d2(b, b+4, p);
+        assert(d1 == d2);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        D d1(b, b+4, p);
+        D d2;
+        assert(d1 != d2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/eval.pass.cpp

@@ -0,0 +1,695 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// REQUIRES: long_tests
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g);
+
+#include <random>
+#include <vector>
+#include <iterator>
+#include <numeric>
+#include <cassert>
+
+template <class T>
+inline
+T
+sqr(T x)
+{
+    return x*x;
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {0, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 0, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 0, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 100000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {0, 25, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 100000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {0, 0, 1};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 100000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16};
+        double p[] = {75, 25};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 100000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16};
+        double p[] = {0, 25};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 100000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16};
+        double p[] = {1, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 100000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14};
+        double p[] = {1};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        const int N = 100000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/eval_param.pass.cpp

@@ -0,0 +1,97 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// REQUIRES: long_tests
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
+
+#include <random>
+#include <vector>
+#include <iterator>
+#include <numeric>
+#include <cassert>
+
+template <class T>
+inline
+T
+sqr(T x)
+{
+    return x*x;
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d;
+        P pa(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g, pa);
+            assert(10 <= v && v < 17);
+            u.push_back(v);
+        }
+        std::vector<double> prob(std::begin(p), std::end(p));
+        double s = std::accumulate(prob.begin(), prob.end(), 0.0);
+        for (int i = 0; i < prob.size(); ++i)
+            prob[i] /= s;
+        std::sort(u.begin(), u.end());
+        for (int i = 0; i < Np; ++i)
+        {
+            typedef std::vector<D::result_type>::iterator I;
+            I lb = std::lower_bound(u.begin(), u.end(), b[i]);
+            I ub = std::lower_bound(u.begin(), u.end(), b[i+1]);
+            const size_t Ni = ub - lb;
+            if (prob[i] == 0)
+                assert(Ni == 0);
+            else
+            {
+                assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01);
+                double mean = std::accumulate(lb, ub, 0.0) / Ni;
+                double var = 0;
+                double skew = 0;
+                double kurtosis = 0;
+                for (I j = lb; j != ub; ++j)
+                {
+                    double d = (*j - mean);
+                    double d2 = sqr(d);
+                    var += d2;
+                    skew += d * d2;
+                    kurtosis += d2 * d2;
+                }
+                var /= Ni;
+                double dev = std::sqrt(var);
+                skew /= Ni * dev * var;
+                kurtosis /= Ni * var * var;
+                kurtosis -= 3;
+                double x_mean = (b[i+1] + b[i]) / 2;
+                double x_var = sqr(b[i+1] - b[i]) / 12;
+                double x_skew = 0;
+                double x_kurtosis = -6./5;
+                assert(std::abs((mean - x_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) < 0.01);
+            }
+        }
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/get_param.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// param_type param() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        P pa(b, b+Np+1, p);
+        D d(pa);
+        assert(d.param() == pa);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/io.pass.cpp

@@ -0,0 +1,44 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// template <class charT, class traits>
+// basic_ostream<charT, traits>&
+// operator<<(basic_ostream<charT, traits>& os,
+//            const piecewise_constant_distribution& x);
+//
+// template <class charT, class traits>
+// basic_istream<charT, traits>&
+// operator>>(basic_istream<charT, traits>& is,
+//            piecewise_constant_distribution& x);
+
+#include <random>
+#include <sstream>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d1(b, b+Np+1, p);
+        std::ostringstream os;
+        os << d1;
+        std::istringstream is(os.str());
+        D d2;
+        is >> d2;
+        assert(d1 == d2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/max.pass.cpp

@@ -0,0 +1,30 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// result_type max() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        assert(d.max() == 17);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/min.pass.cpp

@@ -0,0 +1,30 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// result_type min() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np+1, p);
+        assert(d.min() == 10);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_assign.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        P p0(b, b+Np+1, p);
+        P p1;
+        p1 = p0;
+        assert(p1 == p0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_copy.pass.cpp

@@ -0,0 +1,33 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        P p0(b, b+Np+1, p);
+        P p1 = p0;
+        assert(p1 == p0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_ctor_default.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// param_type();
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa;
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_ctor_func.pass.cpp

@@ -0,0 +1,67 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// template<class UnaryOperation>
+//     param_type(size_t nw, double xmin, double xmax,
+//                           UnaryOperation fw);
+
+#include <random>
+#include <cassert>
+
+double fw(double x)
+{
+    return 2*x;
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa(0, 0, 1, fw);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa(1, 10, 12, fw);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 12);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 0.5);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa(2, 6, 14, fw);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 6);
+        assert(iv[1] == 10);
+        assert(iv[2] == 14);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 0.1);
+        assert(dn[1] == 0.15);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_ctor_init_func.pass.cpp

@@ -0,0 +1,79 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// param_type(initializer_list<result_type> bl, UnaryOperation fw);
+
+#include <random>
+#include <cassert>
+
+double f(double x)
+{
+    return x*2;
+}
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa({}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa({12}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa({12, 14}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 12);
+        assert(iv[1] == 14);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 0.5);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        P pa({5.5, 7.5, 11.5}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 5.5);
+        assert(iv[1] == 7.5);
+        assert(iv[2] == 11.5);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 0.203125);
+        assert(dn[1] == 0.1484375);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_ctor_iterator.pass.cpp

@@ -0,0 +1,100 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// template<class InputIterator>
+//     param_type(InputIteratorB firstB, InputIteratorB lastB,
+//                InputIteratorW firstW);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10};
+        double p[] = {12};
+        P pa(b, b, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10};
+        double p[] = {12};
+        P pa(b, b+1, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 15};
+        double p[] = {12};
+        P pa(b, b+2, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 1);
+        assert(dn[0] == 1/5.);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 15, 16};
+        double p[] = {.25, .75};
+        P pa(b, b+3, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        assert(iv[2] == 16);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == .25/5.);
+        assert(dn[1] == .75);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        P pa(b, b+4, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 4);
+        assert(iv[0] == 10);
+        assert(iv[1] == 14);
+        assert(iv[2] == 16);
+        assert(iv[3] == 17);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == .0625);
+        assert(dn[1] == .3125);
+        assert(dn[2] == .125);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_eq.pass.cpp

@@ -0,0 +1,41 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        P p1(b, b+4, p);
+        P p2(b, b+4, p);
+        assert(p1 == p2);
+    }
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        P p1(b, b+3, p);
+        P p2(b, b+4, p);
+        assert(p1 != p2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/param_types.pass.cpp

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

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/set_param.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+
+// void param(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5};
+        P pa(b, b+4, p);
+        D d;
+        d.param(pa);
+        assert(d.param() == pa);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/types.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_constant_distribution
+// {
+//     typedef bool result_type;
+
+#include <random>
+#include <type_traits>
+
+int main()
+{
+    {
+        typedef std::piecewise_constant_distribution<> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, double>::value), "");
+    }
+    {
+        typedef std::piecewise_constant_distribution<float> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, float>::value), "");
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/assign.pass.cpp

@@ -0,0 +1,36 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// piecewise_linear_distribution& operator=(const piecewise_linear_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::piecewise_linear_distribution<> D;
+    double p[] = {2, 4, 1, 8, 3};
+    double b[] = {2, 4, 5, 8, 9};
+    D d1(b, b+5, p);
+    D d2;
+    assert(d1 != d2);
+    d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/copy.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// piecewise_linear_distribution(const piecewise_linear_distribution&);
+
+#include <random>
+#include <cassert>
+
+void
+test1()
+{
+    typedef std::piecewise_linear_distribution<> D;
+    double p[] = {2, 4, 1, 8, 2};
+    double b[] = {2, 4, 5, 8, 9};
+    D d1(b, b+5, p);
+    D d2 = d1;
+    assert(d1 == d2);
+}
+
+int main()
+{
+    test1();
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/ctor_default.pass.cpp

@@ -0,0 +1,36 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// piecewise_linear_distribution(initializer_list<double> wl);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d;
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/ctor_func.pass.cpp

@@ -0,0 +1,69 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// template<class UnaryOperation>
+//     piecewise_linear_distribution(size_t nw, result_type xmin,
+//                                     result_type xmax, UnaryOperation fw);
+
+#include <iostream>
+
+#include <random>
+#include <cassert>
+
+double fw(double x)
+{
+    return 2*x;
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d(0, 0, 1, fw);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 0);
+        assert(dn[1] == 2);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d(1, 10, 12, fw);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 12);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 20./44);
+        assert(dn[1] == 24./44);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d(2, 6, 14, fw);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 6);
+        assert(iv[1] == 10);
+        assert(iv[2] == 14);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == 0.075);
+        assert(dn[1] == 0.125);
+        assert(dn[2] == 0.175);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/ctor_init_func.pass.cpp

@@ -0,0 +1,82 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// piecewise_linear_distribution(initializer_list<result_type> bl,
+//                                 UnaryOperation fw);
+
+#include <iostream>
+
+#include <random>
+#include <cassert>
+
+double f(double x)
+{
+    return x*2;
+}
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d({}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d({12}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d({10, 12}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 12);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 20./44);
+        assert(dn[1] == 24./44);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d({6, 10, 14}, f);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 6);
+        assert(iv[1] == 10);
+        assert(iv[2] == 14);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == 0.075);
+        assert(dn[1] == 0.125);
+        assert(dn[2] == 0.175);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/ctor_iterator.pass.cpp

@@ -0,0 +1,101 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// template<class InputIterator>
+//     piecewise_linear_distribution(InputIteratorB firstB,
+//                                     InputIteratorB lastB,
+//                                     InputIteratorW firstW);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10};
+        double p[] = {12};
+        D d(b, b, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10};
+        double p[] = {12};
+        D d(b, b+1, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 15};
+        double p[] = {20, 20};
+        D d(b, b+2, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1/5.);
+        assert(dn[1] == 1/5.);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 15, 16};
+        double p[] = {.25, .75, .25};
+        D d(b, b+3, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        assert(iv[2] == 16);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == .25/3);
+        assert(dn[1] == .75/3);
+        assert(dn[2] == .25/3);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {0, 1, 1, 0};
+        D d(b, b+4, p);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 4);
+        assert(iv[0] == 10);
+        assert(iv[1] == 14);
+        assert(iv[2] == 16);
+        assert(iv[3] == 17);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 4);
+        assert(dn[0] == 0);
+        assert(dn[1] == 1/4.5);
+        assert(dn[2] == 1/4.5);
+        assert(dn[3] == 0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/ctor_param.pass.cpp

@@ -0,0 +1,42 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// explicit piecewise_linear_distribution(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        P pa(b, b+4, p);
+        D d(pa);
+        std::vector<double> iv = d.intervals();
+        assert(iv.size() == 4);
+        assert(iv[0] == 10);
+        assert(iv[1] == 14);
+        assert(iv[2] == 16);
+        assert(iv[3] == 17);
+        std::vector<double> dn = d.densities();
+        assert(dn.size() == 4);
+        assert(dn[0] == 25/256.25);
+        assert(dn[1] == 62.5/256.25);
+        assert(dn[2] == 12.5/256.25);
+        assert(dn[3] == 0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/eq.pass.cpp

@@ -0,0 +1,47 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// bool operator=(const piecewise_linear_distribution& x,
+//                const piecewise_linear_distribution& y);
+// bool operator!(const piecewise_linear_distribution& x,
+//                const piecewise_linear_distribution& y);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        D d1;
+        D d2;
+        assert(d1 == d2);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 1};
+        D d1(b, b+4, p);
+        D d2(b, b+4, p);
+        assert(d1 == d2);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        D d1(b, b+4, p);
+        D d2;
+        assert(d1 != d2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/eval.pass.cpp

@@ -0,0 +1,343 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// REQUIRES: long_tests
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g);
+
+#include <iostream>
+
+#include <random>
+#include <vector>
+#include <iterator>
+#include <numeric>
+#include <cassert>
+
+template <class T>
+inline
+T
+sqr(T x)
+{
+    return x*x;
+}
+
+double
+f(double x, double a, double m, double b, double c)
+{
+    return a + m*(sqr(x) - sqr(b))/2 + c*(x-b);
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {0, 1, 1, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]) - 1;
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::sort(u.begin(), u.end());
+        int kp = -1;
+        double a;
+        double m;
+        double bk;
+        double c;
+        std::vector<double> areas(Np);
+        double S = 0;
+        for (int i = 0; i < areas.size(); ++i)
+        {
+            areas[i] = (p[i]+p[i+1])*(b[i+1]-b[i])/2;
+            S += areas[i];
+        }
+        for (int i = 0; i < areas.size(); ++i)
+            areas[i] /= S;
+        for (int i = 0; i < Np+1; ++i)
+            p[i] /= S;
+        for (int i = 0; i < N; ++i)
+        {
+            int k = std::lower_bound(b, b+Np+1, u[i]) - b - 1;
+            if (k != kp)
+            {
+                a = 0;
+                for (int j = 0; j < k; ++j)
+                    a += areas[j];
+                m = (p[k+1] - p[k]) / (b[k+1] - b[k]);
+                bk = b[k];
+                c = (b[k+1]*p[k] - b[k]*p[k+1]) / (b[k+1] - b[k]);
+                kp = k;
+            }
+            assert(std::abs(f(u[i], a, m, bk, c) - double(i)/N) < .001);
+        }
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {0, 0, 1, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]) - 1;
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::sort(u.begin(), u.end());
+        int kp = -1;
+        double a;
+        double m;
+        double bk;
+        double c;
+        std::vector<double> areas(Np);
+        double S = 0;
+        for (int i = 0; i < areas.size(); ++i)
+        {
+            areas[i] = (p[i]+p[i+1])*(b[i+1]-b[i])/2;
+            S += areas[i];
+        }
+        for (int i = 0; i < areas.size(); ++i)
+            areas[i] /= S;
+        for (int i = 0; i < Np+1; ++i)
+            p[i] /= S;
+        for (int i = 0; i < N; ++i)
+        {
+            int k = std::lower_bound(b, b+Np+1, u[i]) - b - 1;
+            if (k != kp)
+            {
+                a = 0;
+                for (int j = 0; j < k; ++j)
+                    a += areas[j];
+                m = (p[k+1] - p[k]) / (b[k+1] - b[k]);
+                bk = b[k];
+                c = (b[k+1]*p[k] - b[k]*p[k+1]) / (b[k+1] - b[k]);
+                kp = k;
+            }
+            assert(std::abs(f(u[i], a, m, bk, c) - double(i)/N) < .001);
+        }
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {1, 0, 0, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]) - 1;
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::sort(u.begin(), u.end());
+        int kp = -1;
+        double a;
+        double m;
+        double bk;
+        double c;
+        std::vector<double> areas(Np);
+        double S = 0;
+        for (int i = 0; i < areas.size(); ++i)
+        {
+            areas[i] = (p[i]+p[i+1])*(b[i+1]-b[i])/2;
+            S += areas[i];
+        }
+        for (int i = 0; i < areas.size(); ++i)
+            areas[i] /= S;
+        for (int i = 0; i < Np+1; ++i)
+            p[i] /= S;
+        for (int i = 0; i < N; ++i)
+        {
+            int k = std::lower_bound(b, b+Np+1, u[i]) - b - 1;
+            if (k != kp)
+            {
+                a = 0;
+                for (int j = 0; j < k; ++j)
+                    a += areas[j];
+                m = (p[k+1] - p[k]) / (b[k+1] - b[k]);
+                bk = b[k];
+                c = (b[k+1]*p[k] - b[k]*p[k+1]) / (b[k+1] - b[k]);
+                kp = k;
+            }
+            assert(std::abs(f(u[i], a, m, bk, c) - double(i)/N) < .001);
+        }
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16};
+        double p[] = {0, 1, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]) - 1;
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::sort(u.begin(), u.end());
+        int kp = -1;
+        double a;
+        double m;
+        double bk;
+        double c;
+        std::vector<double> areas(Np);
+        double S = 0;
+        for (int i = 0; i < areas.size(); ++i)
+        {
+            areas[i] = (p[i]+p[i+1])*(b[i+1]-b[i])/2;
+            S += areas[i];
+        }
+        for (int i = 0; i < areas.size(); ++i)
+            areas[i] /= S;
+        for (int i = 0; i < Np+1; ++i)
+            p[i] /= S;
+        for (int i = 0; i < N; ++i)
+        {
+            int k = std::lower_bound(b, b+Np+1, u[i]) - b - 1;
+            if (k != kp)
+            {
+                a = 0;
+                for (int j = 0; j < k; ++j)
+                    a += areas[j];
+                m = (p[k+1] - p[k]) / (b[k+1] - b[k]);
+                bk = b[k];
+                c = (b[k+1]*p[k] - b[k]*p[k+1]) / (b[k+1] - b[k]);
+                kp = k;
+            }
+            assert(std::abs(f(u[i], a, m, bk, c) - double(i)/N) < .001);
+        }
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14};
+        double p[] = {1, 1};
+        const size_t Np = sizeof(p) / sizeof(p[0]) - 1;
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::sort(u.begin(), u.end());
+        int kp = -1;
+        double a;
+        double m;
+        double bk;
+        double c;
+        std::vector<double> areas(Np);
+        double S = 0;
+        for (int i = 0; i < areas.size(); ++i)
+        {
+            areas[i] = (p[i]+p[i+1])*(b[i+1]-b[i])/2;
+            S += areas[i];
+        }
+        for (int i = 0; i < areas.size(); ++i)
+            areas[i] /= S;
+        for (int i = 0; i < Np+1; ++i)
+            p[i] /= S;
+        for (int i = 0; i < N; ++i)
+        {
+            int k = std::lower_bound(b, b+Np+1, u[i]) - b - 1;
+            if (k != kp)
+            {
+                a = 0;
+                for (int j = 0; j < k; ++j)
+                    a += areas[j];
+                m = (p[k+1] - p[k]) / (b[k+1] - b[k]);
+                bk = b[k];
+                c = (b[k+1]*p[k] - b[k]*p[k+1]) / (b[k+1] - b[k]);
+                kp = k;
+            }
+            assert(std::abs(f(u[i], a, m, bk, c) - double(i)/N) < .001);
+        }
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]) - 1;
+        D d(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g);
+            assert(d.min() <= v && v < d.max());
+            u.push_back(v);
+        }
+        std::sort(u.begin(), u.end());
+        int kp = -1;
+        double a;
+        double m;
+        double bk;
+        double c;
+        std::vector<double> areas(Np);
+        double S = 0;
+        for (int i = 0; i < areas.size(); ++i)
+        {
+            areas[i] = (p[i]+p[i+1])*(b[i+1]-b[i])/2;
+            S += areas[i];
+        }
+        for (int i = 0; i < areas.size(); ++i)
+            areas[i] /= S;
+        for (int i = 0; i < Np+1; ++i)
+            p[i] /= S;
+        for (int i = 0; i < N; ++i)
+        {
+            int k = std::lower_bound(b, b+Np+1, u[i]) - b - 1;
+            if (k != kp)
+            {
+                a = 0;
+                for (int j = 0; j < k; ++j)
+                    a += areas[j];
+                m = (p[k+1] - p[k]) / (b[k+1] - b[k]);
+                bk = b[k];
+                c = (b[k+1]*p[k] - b[k]*p[k+1]) / (b[k+1] - b[k]);
+                kp = k;
+            }
+            assert(std::abs(f(u[i], a, m, bk, c) - double(i)/N) < .001);
+        }
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/eval_param.pass.cpp

@@ -0,0 +1,92 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// REQUIRES: long_tests
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
+
+#include <random>
+#include <vector>
+#include <iterator>
+#include <numeric>
+#include <cassert>
+
+template <class T>
+inline
+T
+sqr(T x)
+{
+    return x*x;
+}
+
+double
+f(double x, double a, double m, double b, double c)
+{
+    return a + m*(sqr(x) - sqr(b))/2 + c*(x-b);
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        typedef std::mt19937_64 G;
+        G g;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]) - 1;
+        D d;
+        P pa(b, b+Np+1, p);
+        const int N = 1000000;
+        std::vector<D::result_type> u;
+        for (int i = 0; i < N; ++i)
+        {
+            D::result_type v = d(g, pa);
+            assert(10 <= v && v < 17);
+            u.push_back(v);
+        }
+        std::sort(u.begin(), u.end());
+        int kp = -1;
+        double a;
+        double m;
+        double bk;
+        double c;
+        std::vector<double> areas(Np);
+        double S = 0;
+        for (int i = 0; i < areas.size(); ++i)
+        {
+            areas[i] = (p[i]+p[i+1])*(b[i+1]-b[i])/2;
+            S += areas[i];
+        }
+        for (int i = 0; i < areas.size(); ++i)
+            areas[i] /= S;
+        for (int i = 0; i < Np+1; ++i)
+            p[i] /= S;
+        for (int i = 0; i < N; ++i)
+        {
+            int k = std::lower_bound(b, b+Np+1, u[i]) - b - 1;
+            if (k != kp)
+            {
+                a = 0;
+                for (int j = 0; j < k; ++j)
+                    a += areas[j];
+                m = (p[k+1] - p[k]) / (b[k+1] - b[k]);
+                bk = b[k];
+                c = (b[k+1]*p[k] - b[k]*p[k+1]) / (b[k+1] - b[k]);
+                kp = k;
+            }
+            assert(std::abs(f(u[i], a, m, bk, c) - double(i)/N) < .001);
+        }
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/get_param.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// param_type param() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 10};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        P pa(b, b+Np, p);
+        D d(pa);
+        assert(d.param() == pa);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/io.pass.cpp

@@ -0,0 +1,44 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// template <class charT, class traits>
+// basic_ostream<charT, traits>&
+// operator<<(basic_ostream<charT, traits>& os,
+//            const piecewise_linear_distribution& x);
+//
+// template <class charT, class traits>
+// basic_istream<charT, traits>&
+// operator>>(basic_istream<charT, traits>& is,
+//            piecewise_linear_distribution& x);
+
+#include <random>
+#include <sstream>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 25};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d1(b, b+Np, p);
+        std::ostringstream os;
+        os << d1;
+        std::istringstream is(os.str());
+        D d2;
+        is >> d2;
+        assert(d1 == d2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/max.pass.cpp

@@ -0,0 +1,30 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// result_type max() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np, p);
+        assert(d.max() == 17);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/min.pass.cpp

@@ -0,0 +1,30 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// result_type min() const;
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        D d(b, b+Np, p);
+        assert(d.min() == 10);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_assign.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 2};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        P p0(b, b+Np, p);
+        P p1;
+        p1 = p0;
+        assert(p1 == p0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_copy.pass.cpp

@@ -0,0 +1,33 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 5};
+        const size_t Np = sizeof(p) / sizeof(p[0]);
+        P p0(b, b+Np, p);
+        P p1 = p0;
+        assert(p1 == p0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_ctor_default.pass.cpp

@@ -0,0 +1,35 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// param_type();
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa;
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_ctor_func.pass.cpp

@@ -0,0 +1,70 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// template<class UnaryOperation>
+//     param_type(size_t nw, double xmin, double xmax,
+//                           UnaryOperation fw);
+
+#include <random>
+#include <cassert>
+
+double fw(double x)
+{
+    return 2*x;
+}
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa(0, 0, 1, fw);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 0);
+        assert(dn[1] == 2);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa(1, 10, 12, fw);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 12);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 20./44);
+        assert(dn[1] == 24./44);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa(2, 6, 14, fw);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 6);
+        assert(iv[1] == 10);
+        assert(iv[2] == 14);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == 0.075);
+        assert(dn[1] == 0.125);
+        assert(dn[2] == 0.175);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_ctor_init_func.pass.cpp

@@ -0,0 +1,83 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// param_type(initializer_list<result_type> bl, UnaryOperation fw);
+
+#include <random>
+#include <cassert>
+
+double f(double x)
+{
+    return x*2;
+}
+
+int main()
+{
+#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa({}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa({12}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa({10, 12}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 12);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 20./44);
+        assert(dn[1] == 24./44);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        P pa({6, 10, 14}, f);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 6);
+        assert(iv[1] == 10);
+        assert(iv[2] == 14);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == 0.075);
+        assert(dn[1] == 0.125);
+        assert(dn[2] == 0.175);
+    }
+#endif  // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_ctor_iterator.pass.cpp

@@ -0,0 +1,105 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// template<class InputIterator>
+//     param_type(InputIteratorB firstB, InputIteratorB lastB,
+//                InputIteratorW firstW);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10};
+        double p[] = {12};
+        P pa(b, b, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10};
+        double p[] = {12};
+        P pa(b, b+1, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 0);
+        assert(iv[1] == 1);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1);
+        assert(dn[1] == 1);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 15};
+        double p[] = {12, 12};
+        P pa(b, b+2, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 2);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 2);
+        assert(dn[0] == 1/5.);
+        assert(dn[1] == 1/5.);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 15, 16};
+        double p[] = {.25, .75, .25};
+        P pa(b, b+3, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 3);
+        assert(iv[0] == 10);
+        assert(iv[1] == 15);
+        assert(iv[2] == 16);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 3);
+        assert(dn[0] == .25/3);
+        assert(dn[1] == .75/3);
+        assert(dn[2] == .25/3);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {0, 1, 1, 0};
+        P pa(b, b+4, p);
+        std::vector<double> iv = pa.intervals();
+        assert(iv.size() == 4);
+        assert(iv[0] == 10);
+        assert(iv[1] == 14);
+        assert(iv[2] == 16);
+        assert(iv[3] == 17);
+        std::vector<double> dn = pa.densities();
+        assert(dn.size() == 4);
+        assert(dn[0] == 0);
+        assert(dn[1] == 1/4.5);
+        assert(dn[2] == 1/4.5);
+        assert(dn[3] == 0);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_eq.pass.cpp

@@ -0,0 +1,41 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+// {
+//     class param_type;
+
+#include <random>
+#include <limits>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        P p1(b, b+4, p);
+        P p2(b, b+4, p);
+        assert(p1 == p2);
+    }
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        P p1(b, b+3, p);
+        P p2(b, b+4, p);
+        assert(p1 != p2);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/param_types.pass.cpp

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

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/set_param.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// void param(const param_type& parm);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::param_type P;
+        double b[] = {10, 14, 16, 17};
+        double p[] = {25, 62.5, 12.5, 0};
+        P pa(b, b+4, p);
+        D d;
+        d.param(pa);
+        assert(d.param() == pa);
+    }
+}

test/std/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/types.pass.cpp

@@ -0,0 +1,32 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is dual licensed under the MIT and the University of Illinois Open
+// Source Licenses. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+// {
+//     typedef bool result_type;
+
+#include <random>
+#include <type_traits>
+
+int main()
+{
+    {
+        typedef std::piecewise_linear_distribution<> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, double>::value), "");
+    }
+    {
+        typedef std::piecewise_linear_distribution<float> D;
+        typedef D::result_type result_type;
+        static_assert((std::is_same<result_type, float>::value), "");
+    }
+}