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_linear_distribution
13 
14 // template<class InputIterator>
15 //     piecewise_linear_distribution(InputIteratorB firstB,
16 //                                     InputIteratorB lastB,
17 //                                     InputIteratorW firstW);
18 
19 #include <random>
20 
21 #include <cassert>
22 #include <vector>
23 
24 #include "test_macros.h"
25 
main(int,char **)26 int main(int, char**)
27 {
28     {
29         typedef std::piecewise_linear_distribution<> D;
30         double b[] = {10};
31         double p[] = {12};
32         D d(b, b, p);
33         std::vector<double> iv = d.intervals();
34         assert(iv.size() == 2);
35         assert(iv[0] == 0);
36         assert(iv[1] == 1);
37         std::vector<double> dn = d.densities();
38         assert(dn.size() == 2);
39         assert(dn[0] == 1);
40         assert(dn[1] == 1);
41     }
42     {
43         typedef std::piecewise_linear_distribution<> D;
44         double b[] = {10};
45         double p[] = {12};
46         D d(b, b+1, p);
47         std::vector<double> iv = d.intervals();
48         assert(iv.size() == 2);
49         assert(iv[0] == 0);
50         assert(iv[1] == 1);
51         std::vector<double> dn = d.densities();
52         assert(dn.size() == 2);
53         assert(dn[0] == 1);
54         assert(dn[1] == 1);
55     }
56     {
57         typedef std::piecewise_linear_distribution<> D;
58         double b[] = {10, 15};
59         double p[] = {20, 20};
60         D d(b, b+2, p);
61         std::vector<double> iv = d.intervals();
62         assert(iv.size() == 2);
63         assert(iv[0] == 10);
64         assert(iv[1] == 15);
65         std::vector<double> dn = d.densities();
66         assert(dn.size() == 2);
67         assert(dn[0] == 1/5.);
68         assert(dn[1] == 1/5.);
69     }
70     {
71         typedef std::piecewise_linear_distribution<> D;
72         double b[] = {10, 15, 16};
73         double p[] = {.25, .75, .25};
74         D d(b, b+3, p);
75         std::vector<double> iv = d.intervals();
76         assert(iv.size() == 3);
77         assert(iv[0] == 10);
78         assert(iv[1] == 15);
79         assert(iv[2] == 16);
80         std::vector<double> dn = d.densities();
81         assert(dn.size() == 3);
82         assert(dn[0] == .25/3);
83         assert(dn[1] == .75/3);
84         assert(dn[2] == .25/3);
85     }
86     {
87         typedef std::piecewise_linear_distribution<> D;
88         double b[] = {10, 14, 16, 17};
89         double p[] = {0, 1, 1, 0};
90         D d(b, b+4, p);
91         std::vector<double> iv = d.intervals();
92         assert(iv.size() == 4);
93         assert(iv[0] == 10);
94         assert(iv[1] == 14);
95         assert(iv[2] == 16);
96         assert(iv[3] == 17);
97         std::vector<double> dn = d.densities();
98         assert(dn.size() == 4);
99         assert(dn[0] == 0);
100         assert(dn[1] == 1/4.5);
101         assert(dn[2] == 1/4.5);
102         assert(dn[3] == 0);
103     }
104 
105   return 0;
106 }
107