1 //===----------------------------------------------------------------------===//
2 //
3 //                     The LLVM Compiler Infrastructure
4 //
5 // This file is dual licensed under the MIT and the University of Illinois Open
6 // Source Licenses. See LICENSE.TXT for details.
7 //
8 //===----------------------------------------------------------------------===//
9 
10 // <random>
11 
12 // template<class RealType = double>
13 // class piecewise_linear_distribution
14 
15 // template<class UnaryOperation>
16 //     param_type(size_t nw, double xmin, double xmax,
17 //                           UnaryOperation fw);
18 
19 #include <random>
20 #include <cassert>
21 
fw(double x)22 double fw(double x)
23 {
24     return 2*x;
25 }
26 
main()27 int main()
28 {
29     {
30         typedef std::piecewise_linear_distribution<> D;
31         typedef D::param_type P;
32         P pa(0, 0, 1, fw);
33         std::vector<double> iv = pa.intervals();
34         assert(iv.size() == 2);
35         assert(iv[0] == 0);
36         assert(iv[1] == 1);
37         std::vector<double> dn = pa.densities();
38         assert(dn.size() == 2);
39         assert(dn[0] == 0);
40         assert(dn[1] == 2);
41     }
42     {
43         typedef std::piecewise_linear_distribution<> D;
44         typedef D::param_type P;
45         P pa(1, 10, 12, fw);
46         std::vector<double> iv = pa.intervals();
47         assert(iv.size() == 2);
48         assert(iv[0] == 10);
49         assert(iv[1] == 12);
50         std::vector<double> dn = pa.densities();
51         assert(dn.size() == 2);
52         assert(dn[0] == 20./44);
53         assert(dn[1] == 24./44);
54     }
55     {
56         typedef std::piecewise_linear_distribution<> D;
57         typedef D::param_type P;
58         P pa(2, 6, 14, fw);
59         std::vector<double> iv = pa.intervals();
60         assert(iv.size() == 3);
61         assert(iv[0] == 6);
62         assert(iv[1] == 10);
63         assert(iv[2] == 14);
64         std::vector<double> dn = pa.densities();
65         assert(dn.size() == 3);
66         assert(dn[0] == 0.075);
67         assert(dn[1] == 0.125);
68         assert(dn[2] == 0.175);
69     }
70 }
71