this post was submitted on 08 Dec 2024
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Advent Of Code

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Advent of Code is an annual Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like.

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Day 8: Resonant Collinearity

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[โ€“] [email protected] 1 points 2 weeks ago (1 children)

Rust

Proper Point and Vector types made this pretty simple, part 2 was just a tiny change (basically while instead of if), but left with a lot of copy-pasted code.

Solution

use euclid::default::*;

const N_ANTENNAS: usize = (b'z' - b'0') as usize + 1;
// For each frequency (from b'0' to b'z') the list of antenna positions
type Antennas = Box<[Vec<Point2D<i32>>]>;

fn parse(input: String) -> (Antennas, Rect<i32>) {
    let mut antennas = vec![Vec::new(); N_ANTENNAS].into_boxed_slice();
    let mut width = 0;
    let mut height = 0;
    for (y, l) in input.lines().enumerate() {
        height = y + 1;
        if width == 0 {
            width = l.len()
        } else {
            assert!(width == l.len())
        }
        for (x, b) in l.bytes().enumerate().filter(|(_, b)| *b != b'.') {
            antennas[(b - b'0') as usize].push(Point2D::new(x, y).to_i32())
        }
    }
    let bounds = Rect::new(Point2D::origin(), Size2D::new(width, height).to_i32());
    (antennas, bounds)
}

fn part1(input: String) {
    let (antennas, bounds) = parse(input);
    let mut antinodes = vec![vec![false; bounds.width() as usize]; bounds.height() as usize];
    for list in antennas.iter().filter(|l| !l.is_empty()) {
        for (i, &a) in list.iter().enumerate().skip(1) {
            for &b in list.iter().take(i) {
                let diff = b - a;
                let ax = a - diff;
                if bounds.contains(ax) {
                    antinodes[ax.y as usize][ax.x as usize] = true;
                }
                let bx = b + diff;
                if bounds.contains(bx) {
                    antinodes[bx.y as usize][bx.x as usize] = true;
                }
            }
        }
    }
    let sum = antinodes
        .iter()
        .map(|row| row.iter().map(|b| u32::from(*b)).sum::<u32>())
        .sum::<u32>();
    println!("{sum}");
}

fn part2(input: String) {
    let (antennas, bounds) = parse(input);
    let mut antinodes = vec![vec![false; bounds.width() as usize]; bounds.height() as usize];
    for list in antennas.iter().filter(|l| !l.is_empty()) {
        for (i, &a) in list.iter().enumerate().skip(1) {
            for &b in list.iter().take(i) {
                let diff = b - a;
                // Start at antenna a, keep going until hitting bounds
                let mut ax = a;
                while bounds.contains(ax) {
                    antinodes[ax.y as usize][ax.x as usize] = true;
                    ax -= diff;
                }
                let mut bx = b;
                while bounds.contains(bx) {
                    antinodes[bx.y as usize][bx.x as usize] = true;
                    bx += diff;
                }
            }
        }
    }
    let sum = antinodes
        .iter()
        .map(|row| row.iter().map(|b| u32::from(*b)).sum::<u32>())
        .sum::<u32>();
    println!("{sum}");
}

util::aoc_main!();

also on github

[โ€“] [email protected] 2 points 2 weeks ago (1 children)

I also did it in Rust, though mine is quite a bit more verbose than yours :). https://gitlab.com/bricka/advent-of-code-2024-rust/-/blob/main/src/days/day08.rs?ref_type=heads

Have you considered using a HashSet<(usize, usize)> to store the visited locations instead of a 2d vector?

[โ€“] [email protected] 1 points 2 weeks ago

I try to use Vecs instead of HashSets and maps whenever the key domain is reasonably small (just the grid in this case), simply because in the end direct memory access is a lot faster than always hashing values.

But looking at this case again, it is certainly a lot easier to have just antinodes.len() at the end instead of counting all true values. This datastructure is also not really performance-critical, so a HashSet is probably the cleaner choice here.