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// param_type(InputIteratorB firstB, InputIteratorB lastB,
16// InputIteratorW firstW);
17
18#include <random>
19
20#include <cassert>
21#include <vector>
22
23#include "test_macros.h"
24
25int main(int, char**)
26{
27 {
28 typedef std::piecewise_linear_distribution<> D;
29 typedef D::param_type P;
30 double b[] = {10};
31 double p[] = {12};
32 P pa(b, b, p);
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] == 1);
40 assert(dn[1] == 1);
41 }
42 {
43 typedef std::piecewise_linear_distribution<> D;
44 typedef D::param_type P;
45 double b[] = {10};
46 double p[] = {12};
47 P pa(b, b+1, p);
48 std::vector<double> iv = pa.intervals();
49 assert(iv.size() == 2);
50 assert(iv[0] == 0);
51 assert(iv[1] == 1);
52 std::vector<double> dn = pa.densities();
53 assert(dn.size() == 2);
54 assert(dn[0] == 1);
55 assert(dn[1] == 1);
56 }
57 {
58 typedef std::piecewise_linear_distribution<> D;
59 typedef D::param_type P;
60 double b[] = {10, 15};
61 double p[] = {12, 12};
62 P pa(b, b+2, p);
63 std::vector<double> iv = pa.intervals();
64 assert(iv.size() == 2);
65 assert(iv[0] == 10);
66 assert(iv[1] == 15);
67 std::vector<double> dn = pa.densities();
68 assert(dn.size() == 2);
69 assert(dn[0] == 1/5.);
70 assert(dn[1] == 1/5.);
71 }
72 {
73 typedef std::piecewise_linear_distribution<> D;
74 typedef D::param_type P;
75 double b[] = {10, 15, 16};
76 double p[] = {.25, .75, .25};
77 P pa(b, b+3, p);
78 std::vector<double> iv = pa.intervals();
79 assert(iv.size() == 3);
80 assert(iv[0] == 10);
81 assert(iv[1] == 15);
82 assert(iv[2] == 16);
83 std::vector<double> dn = pa.densities();
84 assert(dn.size() == 3);
85 assert(dn[0] == .25/3);
86 assert(dn[1] == .75/3);
87 assert(dn[2] == .25/3);
88 }
89 {
90 typedef std::piecewise_linear_distribution<> D;
91 typedef D::param_type P;
92 double b[] = {10, 14, 16, 17};
93 double p[] = {0, 1, 1, 0};
94 P pa(b, b+4, p);
95 std::vector<double> iv = pa.intervals();
96 assert(iv.size() == 4);
97 assert(iv[0] == 10);
98 assert(iv[1] == 14);
99 assert(iv[2] == 16);
100 assert(iv[3] == 17);
101 std::vector<double> dn = pa.densities();
102 assert(dn.size() == 4);
103 assert(dn[0] == 0);
104 assert(dn[1] == 1/4.5);
105 assert(dn[2] == 1/4.5);
106 assert(dn[3] == 0);
107 }
108
109 return 0;
110}
111

source code of libcxx/test/std/numerics/rand/rand.dist/rand.dist.samp/rand.dist.samp.plinear/param_ctor_iterator.pass.cpp