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| 1 | +// Copyright (c) Tyler Swann 2023 |
| 2 | +// Made in partnership with Monash DeepNeuron |
| 3 | +// for Monash DeepNeuron's HPC Training. |
| 4 | + |
| 5 | +// Details |
| 6 | +// This program will generate the input files |
| 7 | +// containing the random list of numbers used |
| 8 | +// by in some of the challenges. |
| 9 | +// |
| 10 | +// Build |
| 11 | +// $ g++ -std=c++20 -o bin/generate generate.cpp |
| 12 | +// |
| 13 | +// Run |
| 14 | +// $ bin/generate |
| 15 | + |
| 16 | +#include <algorithm> |
| 17 | +#include <concepts> |
| 18 | +#include <filesystem> |
| 19 | +#include <fstream> |
| 20 | +#include <iostream> |
| 21 | +#include <numeric> |
| 22 | +#include <random> |
| 23 | +#include <ranges> |
| 24 | +#include <string_view> |
| 25 | +#include <vector> |
| 26 | + |
| 27 | +namespace fs = std::filesystem; |
| 28 | + |
| 29 | +constexpr std::size_t default_problem_size = 1'000'000uL; |
| 30 | + |
| 31 | +fs::path main_path = fs::current_path() / "challenges" / "distributed-computing"; |
| 32 | +fs::path sum_path = main_path / "sum"; |
| 33 | +fs::path mergesort_path = main_path / "mergesort"; |
| 34 | + |
| 35 | +auto gen = std::mt19937 { std::random_device {}() }; |
| 36 | +auto distrib = std::uniform_real_distribution { -1.0e5, 1.0e5 }; |
| 37 | +auto generate = std::views::transform([]([[maybe_unused]] auto x) -> double { return distrib(gen); }); |
| 38 | + |
| 39 | +template <std::ranges::range Range> |
| 40 | +auto write(const fs::path& filename, Range&& data) -> void |
| 41 | +{ |
| 42 | + auto file = std::fstream { filename, std::ios::in | std::ios::out | std::ios::trunc }; |
| 43 | + |
| 44 | + if (file.is_open()) { |
| 45 | + std::ranges::copy(data, std::ostream_iterator<double>(file, "\n")); |
| 46 | + } else |
| 47 | + std::clog << "Failed to open file" << filename << std::endl; |
| 48 | +} |
| 49 | + |
| 50 | +auto write(const fs::path& filename, const double& data) -> void |
| 51 | +{ |
| 52 | + auto file = std::fstream { filename, std::ios::in | std::ios::out | std::ios::trunc }; |
| 53 | + |
| 54 | + if (file.is_open()) { |
| 55 | + file << data << std::endl; |
| 56 | + } else |
| 57 | + std::clog << "Failed to open file" << filename << std::endl; |
| 58 | +} |
| 59 | + |
| 60 | +namespace make { |
| 61 | + |
| 62 | +auto sum(std::size_t problem_size) -> void |
| 63 | +{ |
| 64 | + auto nums = std::views::iota(0) |
| 65 | + | generate |
| 66 | + | std::views::take(problem_size) |
| 67 | + | std::views::common; |
| 68 | + |
| 69 | + auto sum = std::accumulate(nums.begin(), nums.end(), double {}); |
| 70 | + |
| 71 | + write(sum_path / "input.txt", nums); |
| 72 | + write(sum_path / "output.txt", sum); |
| 73 | +} |
| 74 | + |
| 75 | +// auto mergesort(std::size_t problem_size) -> void |
| 76 | +// { |
| 77 | +// auto nums = std::views::iota(0) | generate | std::views::take(problem_size); |
| 78 | +// write(mergesort_path / "unsorted.txt", nums); |
| 79 | + |
| 80 | +// std::ranges::sort(nums); |
| 81 | + |
| 82 | +// if (!std::ranges::is_sorted(nums)) { |
| 83 | +// std::clog << "Didn't sort input" << std::endl; |
| 84 | +// return; |
| 85 | +// } |
| 86 | + |
| 87 | +// write(mergesort_path / "sorted.txt", nums); |
| 88 | +// } |
| 89 | + |
| 90 | +} // namespace make |
| 91 | + |
| 92 | +int main(int argc, char* argv[]) |
| 93 | +{ |
| 94 | + std::size_t problem_size = default_problem_size; |
| 95 | + |
| 96 | + if (argc > 1) { |
| 97 | + problem_size = std::atoll(argv[1]); |
| 98 | + problem_size = std::ranges::clamp(problem_size, default_problem_size, std::vector<double> {}.max_size()); |
| 99 | + } |
| 100 | + |
| 101 | + // auto buffer = std::vector<double>(problem_size, 0.0); |
| 102 | + |
| 103 | + make::sum(problem_size); |
| 104 | + // make::mergesort(problem_size); |
| 105 | + |
| 106 | + return 0; |
| 107 | +} |
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