[rand.dist.samp.plinear]. This means we've got a fully tested and functional <random>! 489 tests over 48 sections are passing. :-) The only thing still on my plate in this area is to back-port some of this technology to random_shuffle/shuffle in <algorithm>. That will involve shuffling header bits around (<random> depepends on <algorithm>), but it won't entail that much development (compared to what has been required for <random>).

git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@104575 91177308-0d34-0410-b5e6-96231b3b80d8

test/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/ctor_default.pass.cpp

@@ -0,0 +1,34 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class piecewise_linear_distribution
+
+// piecewise_linear_distribution(initializer_list<double> wl);
+
+#include <random>
+#include <cassert>
+
+int main()
+{
+    {
+        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);
+    }
+}

test/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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()
+{
+#ifdef _LIBCPP_MOVE
+    {
+        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
+}

test/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/eval.pass.cpp

@@ -0,0 +1,341 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class 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/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.plinear/eval_param.pass.cpp

@@ -0,0 +1,90 @@
+//===----------------------------------------------------------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+
+// <random>
+
+// template<class RealType = double>
+// class 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/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 distributed under the University of Illinois Open Source
+// License. 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+1, p);
+        D d(pa);
+        assert(d.param() == pa);
+    }
+}

test/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 distributed under the University of Illinois Open Source
+// License. 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+1, p);
+        std::ostringstream os;
+        os << d1;
+        std::istringstream is(os.str());
+        D d2;
+        is >> d2;
+        assert(d1 == d2);
+    }
+}

test/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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()
+{
+#ifdef _LIBCPP_MOVE
+    {
+        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
+}

test/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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/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 distributed under the University of Illinois Open Source
+// License. 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), "");
+    }
+}