1 //===----------------------------------------------------------------------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 
9 // <random>
10 
11 // template<class RealType = double>
12 // class piecewise_constant_distribution
13 
14 // template<class UnaryOperation>
15 //     param_type(size_t nw, double xmin, double xmax,
16 //                           UnaryOperation fw);
17 
18 #include <random>
19 
20 #include <cassert>
21 #include <vector>
22 
23 #include "test_macros.h"
24 
fw(double x)25 double fw(double x)
26 {
27     return 2*x;
28 }
29 
main(int,char **)30 int main(int, char**)
31 {
32     {
33         typedef std::piecewise_constant_distribution<> D;
34         typedef D::param_type P;
35         P pa(0, 0, 1, fw);
36         std::vector<double> iv = pa.intervals();
37         assert(iv.size() == 2);
38         assert(iv[0] == 0);
39         assert(iv[1] == 1);
40         std::vector<double> dn = pa.densities();
41         assert(dn.size() == 1);
42         assert(dn[0] == 1);
43     }
44     {
45         typedef std::piecewise_constant_distribution<> D;
46         typedef D::param_type P;
47         P pa(1, 10, 12, fw);
48         std::vector<double> iv = pa.intervals();
49         assert(iv.size() == 2);
50         assert(iv[0] == 10);
51         assert(iv[1] == 12);
52         std::vector<double> dn = pa.densities();
53         assert(dn.size() == 1);
54         assert(dn[0] == 0.5);
55     }
56     {
57         typedef std::piecewise_constant_distribution<> D;
58         typedef D::param_type P;
59         P pa(2, 6, 14, fw);
60         std::vector<double> iv = pa.intervals();
61         assert(iv.size() == 3);
62         assert(iv[0] == 6);
63         assert(iv[1] == 10);
64         assert(iv[2] == 14);
65         std::vector<double> dn = pa.densities();
66         assert(dn.size() == 2);
67         assert(dn[0] == 0.1);
68         assert(dn[1] == 0.15);
69     }
70 
71   return 0;
72 }
73