| 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 IntType = int> |
| 12 | // class discrete_distribution |
| 13 | |
| 14 | // template<class InputIterator> |
| 15 | // discrete_distribution(InputIterator firstW, InputIterator lastW); |
| 16 | |
| 17 | #include <random> |
| 18 | |
| 19 | #include <cassert> |
| 20 | #include <vector> |
| 21 | |
| 22 | #include "test_macros.h" |
| 23 | |
| 24 | int main(int, char**) |
| 25 | { |
| 26 | { |
| 27 | typedef std::discrete_distribution<> D; |
| 28 | double p0[] = {1}; |
| 29 | D d(p0, p0); |
| 30 | std::vector<double> p = d.probabilities(); |
| 31 | assert(p.size() == 1); |
| 32 | assert(p[0] == 1); |
| 33 | } |
| 34 | { |
| 35 | typedef std::discrete_distribution<> D; |
| 36 | double p0[] = {10}; |
| 37 | D d(p0, p0+1); |
| 38 | std::vector<double> p = d.probabilities(); |
| 39 | assert(p.size() == 1); |
| 40 | assert(p[0] == 1); |
| 41 | } |
| 42 | { |
| 43 | typedef std::discrete_distribution<> D; |
| 44 | double p0[] = {10, 30}; |
| 45 | D d(p0, p0+2); |
| 46 | std::vector<double> p = d.probabilities(); |
| 47 | assert(p.size() == 2); |
| 48 | assert(p[0] == 0.25); |
| 49 | assert(p[1] == 0.75); |
| 50 | } |
| 51 | { |
| 52 | typedef std::discrete_distribution<> D; |
| 53 | double p0[] = {30, 10}; |
| 54 | D d(p0, p0+2); |
| 55 | std::vector<double> p = d.probabilities(); |
| 56 | assert(p.size() == 2); |
| 57 | assert(p[0] == 0.75); |
| 58 | assert(p[1] == 0.25); |
| 59 | } |
| 60 | { |
| 61 | typedef std::discrete_distribution<> D; |
| 62 | double p0[] = {30, 0, 10}; |
| 63 | D d(p0, p0+3); |
| 64 | std::vector<double> p = d.probabilities(); |
| 65 | assert(p.size() == 3); |
| 66 | assert(p[0] == 0.75); |
| 67 | assert(p[1] == 0); |
| 68 | assert(p[2] == 0.25); |
| 69 | } |
| 70 | { |
| 71 | typedef std::discrete_distribution<> D; |
| 72 | double p0[] = {0, 30, 10}; |
| 73 | D d(p0, p0+3); |
| 74 | std::vector<double> p = d.probabilities(); |
| 75 | assert(p.size() == 3); |
| 76 | assert(p[0] == 0); |
| 77 | assert(p[1] == 0.75); |
| 78 | assert(p[2] == 0.25); |
| 79 | } |
| 80 | { |
| 81 | typedef std::discrete_distribution<> D; |
| 82 | double p0[] = {0, 0, 10}; |
| 83 | D d(p0, p0+3); |
| 84 | std::vector<double> p = d.probabilities(); |
| 85 | assert(p.size() == 3); |
| 86 | assert(p[0] == 0); |
| 87 | assert(p[1] == 0); |
| 88 | assert(p[2] == 1); |
| 89 | } |
| 90 | |
| 91 | return 0; |
| 92 | } |
| 93 | |