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 | // REQUIRES: long_tests |
10 | |
11 | // <random> |
12 | |
13 | // template<class RealType = double> |
14 | // class fisher_f_distribution |
15 | |
16 | // template<class _URNG> result_type operator()(_URNG& g, const param_type& parm); |
17 | |
18 | #include <random> |
19 | #include <cassert> |
20 | #include <vector> |
21 | #include <algorithm> |
22 | #include <cmath> |
23 | |
24 | #include "test_macros.h" |
25 | |
26 | double fac(double x) |
27 | { |
28 | double r = 1; |
29 | for (; x > 1; --x) |
30 | r *= x; |
31 | return r; |
32 | } |
33 | |
34 | double |
35 | I(double x, unsigned a, unsigned b) |
36 | { |
37 | double r = 0; |
38 | for (int j = a; static_cast<unsigned>(j) <= a+b-1; ++j) |
39 | r += fac(x: a+b-1)/(fac(x: j) * fac(x: a + b - 1 - j)) * std::pow(x: x, y: j) * |
40 | std::pow(x: 1-x, y: a+b-1-j); |
41 | return r; |
42 | } |
43 | |
44 | double |
45 | f(double x, double m, double n) |
46 | { |
47 | return I(x: m * x / (m*x + n), a: static_cast<unsigned>(m/2), b: static_cast<unsigned>(n/2)); |
48 | } |
49 | |
50 | int main(int, char**) |
51 | { |
52 | // Purposefully only testing even integral values of m and n (for now) |
53 | { |
54 | typedef std::fisher_f_distribution<> D; |
55 | typedef D::param_type P; |
56 | typedef std::mt19937 G; |
57 | G g; |
58 | D d(2, 4); |
59 | P p(4, 2); |
60 | const int N = 100000; |
61 | std::vector<D::result_type> u; |
62 | for (int i = 0; i < N; ++i) |
63 | { |
64 | D::result_type v = d(g, p); |
65 | assert(v >= 0); |
66 | u.push_back(x: v); |
67 | } |
68 | std::sort(first: u.begin(), last: u.end()); |
69 | for (int i = 0; i < N; ++i) |
70 | assert(std::abs(f(u[i], p.m(), p.n()) - double(i)/N) < .01); |
71 | } |
72 | { |
73 | typedef std::fisher_f_distribution<> D; |
74 | typedef D::param_type P; |
75 | typedef std::mt19937 G; |
76 | G g; |
77 | D d(4, 2); |
78 | P p(6, 8); |
79 | const int N = 100000; |
80 | std::vector<D::result_type> u; |
81 | for (int i = 0; i < N; ++i) |
82 | { |
83 | D::result_type v = d(g, p); |
84 | assert(v >= 0); |
85 | u.push_back(x: v); |
86 | } |
87 | std::sort(first: u.begin(), last: u.end()); |
88 | for (int i = 0; i < N; ++i) |
89 | assert(std::abs(f(u[i], p.m(), p.n()) - double(i)/N) < .01); |
90 | } |
91 | { |
92 | typedef std::fisher_f_distribution<> D; |
93 | typedef D::param_type P; |
94 | typedef std::mt19937 G; |
95 | G g; |
96 | D d(18, 20); |
97 | P p(16, 14); |
98 | const int N = 100000; |
99 | std::vector<D::result_type> u; |
100 | for (int i = 0; i < N; ++i) |
101 | { |
102 | D::result_type v = d(g, p); |
103 | assert(v >= 0); |
104 | u.push_back(x: v); |
105 | } |
106 | std::sort(first: u.begin(), last: u.end()); |
107 | for (int i = 0; i < N; ++i) |
108 | assert(std::abs(f(u[i], p.m(), p.n()) - double(i)/N) < .01); |
109 | } |
110 | |
111 | return 0; |
112 | } |
113 | |