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| 1 | +use codspeed_divan_compat_examples::the_algorithms; |
| 2 | +use divan::black_box; |
| 3 | + |
| 4 | +fn main() { |
| 5 | + divan::main(); |
| 6 | +} |
| 7 | + |
| 8 | +mod backtracking { |
| 9 | + use super::*; |
| 10 | + |
| 11 | + #[divan::bench(args = [4, 5, 6, 7, 8])] |
| 12 | + fn n_queens_solver(n: usize) -> Vec<Vec<String>> { |
| 13 | + the_algorithms::backtracking::n_queens_solver(n) |
| 14 | + } |
| 15 | + |
| 16 | + // Benchmark parentheses generation with different sizes |
| 17 | + #[divan::bench(args = [3, 4, 5, 6])] |
| 18 | + fn generate_parentheses(n: usize) -> Vec<String> { |
| 19 | + the_algorithms::backtracking::generate_parentheses(n) |
| 20 | + } |
| 21 | + |
| 22 | + // Benchmark combinations generation with different n values, keeping k=3 |
| 23 | + #[divan::bench(args = [5, 6, 7, 8, 9])] |
| 24 | + fn generate_combinations(n: usize) -> Vec<Vec<usize>> { |
| 25 | + the_algorithms::backtracking::generate_all_combinations(n, 3).unwrap() |
| 26 | + } |
| 27 | + |
| 28 | + // Benchmark graph coloring with different sizes of complete graphs |
| 29 | + #[divan::bench(args = [3, 4, 5, 6])] |
| 30 | + fn graph_coloring(bencher: divan::Bencher, n: usize) { |
| 31 | + // Create a complete graph of size n (all vertices connected to each other) |
| 32 | + let matrix = (0..n) |
| 33 | + .map(|i| (0..n).map(|j| i != j).collect()) |
| 34 | + .collect::<Vec<Vec<bool>>>(); |
| 35 | + |
| 36 | + bencher.bench_local(|| { |
| 37 | + black_box(the_algorithms::backtracking::generate_colorings( |
| 38 | + black_box(matrix.clone()), |
| 39 | + 3, |
| 40 | + )) |
| 41 | + }); |
| 42 | + } |
| 43 | + |
| 44 | + // Benchmark Hamiltonian cycle finding with different sizes of cyclic graphs |
| 45 | + #[divan::bench(args = [4, 5, 6, 7])] |
| 46 | + fn hamiltonian_cycle(bencher: divan::Bencher, n: usize) { |
| 47 | + // Create a cyclic graph where each vertex is connected to its neighbors |
| 48 | + // This ensures a Hamiltonian cycle exists |
| 49 | + let matrix = (0..n) |
| 50 | + .map(|i| { |
| 51 | + (0..n) |
| 52 | + .map(|j| { |
| 53 | + let prev = (i + n - 1) % n; |
| 54 | + let next = (i + 1) % n; |
| 55 | + j == prev || j == next |
| 56 | + }) |
| 57 | + .collect() |
| 58 | + }) |
| 59 | + .collect::<Vec<Vec<bool>>>(); |
| 60 | + |
| 61 | + bencher.bench_local(|| { |
| 62 | + black_box(the_algorithms::backtracking::find_hamiltonian_cycle( |
| 63 | + black_box(matrix.clone()), |
| 64 | + 0, |
| 65 | + )) |
| 66 | + }); |
| 67 | + } |
| 68 | + |
| 69 | + // Benchmark Knight's Tour with different board sizes |
| 70 | + #[divan::bench(args = [5, 6, 7, 8])] |
| 71 | + fn knight_tour(bencher: divan::Bencher, n: usize) { |
| 72 | + bencher.bench_local(|| { |
| 73 | + black_box(the_algorithms::backtracking::find_knight_tour( |
| 74 | + black_box(n), |
| 75 | + black_box(n), |
| 76 | + black_box(0), |
| 77 | + black_box(0), |
| 78 | + )) |
| 79 | + }); |
| 80 | + } |
| 81 | + |
| 82 | + // Benchmark permutations with different input sizes |
| 83 | + #[divan::bench(args = [3, 4, 5, 6, 7])] |
| 84 | + fn permutations(bencher: divan::Bencher, n: usize) { |
| 85 | + let nums: Vec<isize> = (0..n).map(|x| x as isize).collect(); |
| 86 | + |
| 87 | + bencher.bench_local(|| { |
| 88 | + black_box(the_algorithms::backtracking::permute(black_box( |
| 89 | + nums.clone(), |
| 90 | + ))) |
| 91 | + }); |
| 92 | + } |
| 93 | + |
| 94 | + // Benchmark Rat in Maze with different maze sizes |
| 95 | + #[divan::bench(args = [5, 6, 7, 8])] |
| 96 | + fn rat_in_maze(bencher: divan::Bencher, n: usize) { |
| 97 | + // Create a maze where the rat can move diagonally to the end |
| 98 | + let maze = (0..n) |
| 99 | + .map(|i| (0..n).map(|j| i == j || i == j + 1).collect()) |
| 100 | + .collect::<Vec<Vec<bool>>>(); |
| 101 | + |
| 102 | + bencher.bench_local(|| { |
| 103 | + black_box(the_algorithms::backtracking::find_path_in_maze( |
| 104 | + black_box(&maze), |
| 105 | + black_box(0), |
| 106 | + black_box(0), |
| 107 | + )) |
| 108 | + }); |
| 109 | + } |
| 110 | + |
| 111 | + // Benchmark Subset Sum with different set sizes |
| 112 | + #[divan::bench(args = [10, 12, 14, 16, 18])] |
| 113 | + fn subset_sum(bencher: divan::Bencher, n: usize) { |
| 114 | + let set: Vec<isize> = (0..n).map(|x| x as isize).collect(); |
| 115 | + let target = (n as isize) * 2; // A challenging but achievable target |
| 116 | + |
| 117 | + bencher.bench_local(|| { |
| 118 | + black_box(the_algorithms::backtracking::has_subset_with_sum( |
| 119 | + black_box(&set), |
| 120 | + black_box(target), |
| 121 | + )) |
| 122 | + }); |
| 123 | + } |
| 124 | + |
| 125 | + // Benchmark Sudoku solver with different levels of difficulty |
| 126 | + #[divan::bench] |
| 127 | + fn sudoku(bencher: divan::Bencher) { |
| 128 | + // A moderately difficult Sudoku puzzle |
| 129 | + let board = [ |
| 130 | + [3, 0, 6, 5, 0, 8, 4, 0, 0], |
| 131 | + [5, 2, 0, 0, 0, 0, 0, 0, 0], |
| 132 | + [0, 8, 7, 0, 0, 0, 0, 3, 1], |
| 133 | + [0, 0, 3, 0, 1, 0, 0, 8, 0], |
| 134 | + [9, 0, 0, 8, 6, 3, 0, 0, 5], |
| 135 | + [0, 5, 0, 0, 9, 0, 6, 0, 0], |
| 136 | + [1, 3, 0, 0, 0, 0, 2, 5, 0], |
| 137 | + [0, 0, 0, 0, 0, 0, 0, 7, 4], |
| 138 | + [0, 0, 5, 2, 0, 6, 3, 0, 0], |
| 139 | + ]; |
| 140 | + |
| 141 | + bencher.bench_local(|| { |
| 142 | + black_box(the_algorithms::backtracking::sudoku_solver(black_box( |
| 143 | + &board, |
| 144 | + ))) |
| 145 | + }); |
| 146 | + } |
| 147 | +} |
| 148 | + |
| 149 | +mod bit_manipulation { |
| 150 | + use super::*; |
| 151 | + |
| 152 | + #[divan::bench(args = [0, 42, 255, 1024, 65535])] |
| 153 | + fn count_set_bits(bencher: divan::Bencher, n: u32) { |
| 154 | + bencher.bench_local(|| { |
| 155 | + black_box(the_algorithms::bit_manipulation::count_set_bits(black_box( |
| 156 | + n.try_into().unwrap(), |
| 157 | + ))) |
| 158 | + }); |
| 159 | + } |
| 160 | + |
| 161 | + #[divan::bench(args = [0, 42, 255, 1024, 65535])] |
| 162 | + fn find_highest_set_bit(bencher: divan::Bencher, n: u32) { |
| 163 | + bencher.bench_local(|| { |
| 164 | + black_box(the_algorithms::bit_manipulation::find_highest_set_bit( |
| 165 | + black_box(n.try_into().unwrap()), |
| 166 | + )) |
| 167 | + }); |
| 168 | + } |
| 169 | + |
| 170 | + #[divan::bench(args = [1, 2, 3, 4, 5])] |
| 171 | + fn generate_gray_code(bencher: divan::Bencher, n: u32) { |
| 172 | + bencher.bench_local(|| { |
| 173 | + black_box(the_algorithms::bit_manipulation::generate_gray_code( |
| 174 | + black_box(n.try_into().unwrap()), |
| 175 | + )) |
| 176 | + }); |
| 177 | + } |
| 178 | + |
| 179 | + #[divan::bench(args = &[(0, 0), (42, 13), (255, 255), (1024, -1024), (65535, -65535)])] |
| 180 | + fn add_two_integers(bencher: divan::Bencher, (a, b): (i32, i32)) { |
| 181 | + bencher.bench_local(|| { |
| 182 | + black_box(the_algorithms::bit_manipulation::add_two_integers( |
| 183 | + black_box(a.try_into().unwrap()), |
| 184 | + black_box(b.try_into().unwrap()), |
| 185 | + )) |
| 186 | + }); |
| 187 | + } |
| 188 | +} |
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