Gobbel2000

fn flatten_block(block: Vec<Vec<bool>>) -> [u8; 5] {
    let mut flat = [0; 5];
    for row in &block[1..=5] {
        for x in 0..5 {
            if row[x] {
                flat[x] += 1;
            }
        }
    }
    flat
}

fn parse(input: &str) -> (Vec<[u8; 5]>, Vec<[u8; 5]>) {
    let mut locks = Vec::new();
    let mut keys = Vec::new();
    for block_s in input.split("\n\n") {
        let block: Vec<Vec<bool>> = block_s
            .lines()
            .map(|l| l.bytes().map(|b| b == b'#').collect::<Vec<bool>>())
            .collect();
        assert_eq!(block.len(), 7);
        // Lock
        if block[0].iter().all(|e| *e) {
            locks.push(flatten_block(block));
        } else {
            keys.push(flatten_block(block));
        }
    }
    (locks, keys)
}

fn part1(input: String) {
    let (locks, keys) = parse(&input);
    let mut count = 0u32;
    for l in locks {
        for k in &keys {
            if l.iter().zip(k).map(|(li, ki)| li + ki).all(|sum| sum <= 5) {
                count += 1;
            }
        }
    }
    println!("{count}");
}

fn part2(_input: String) {
    println!("⭐");
}

util::aoc_main!();

use rustc_hash::{FxHashMap, FxHashSet};

fn parse(input: &str) -> (Vec<Vec<usize>>, FxHashMap<&str, usize>) {
    let mut graph = Vec::new();
    let mut names: FxHashMap<&str, usize> = FxHashMap::default();
    for l in input.lines() {
        let (vs, ws) = l.split_once('-').unwrap();
        let v = *names.entry(vs).or_insert_with(|| {
            graph.push(vec![]);
            graph.len() - 1
        });
        let w = *names.entry(ws).or_insert_with(|| {
            graph.push(vec![]);
            graph.len() - 1
        });
        graph[v].push(w);
        graph[w].push(v);
    }
    (graph, names)
}

fn part1(input: String) {
    let (graph, names) = parse(&input);
    let mut triples: FxHashSet<[usize; 3]> = FxHashSet::default();
    for (_, &v) in names.iter().filter(|(name, _)| name.starts_with('t')) {
        for (i, &u) in graph[v].iter().enumerate().skip(1) {
            for w in graph[v].iter().take(i) {
                if graph[u].contains(w) {
                    let mut triple = [u, v, *w];
                    triple.sort();
                    triples.insert(triple);
                }
            }
        }
    }
    println!("{}", triples.len());
}

// Bron-Kerbosch algorithm for finding all maximal cliques in a graph
fn bron_kerbosch(
    graph: &[Vec<usize>],
    r: &mut Vec<usize>,
    mut p: FxHashSet<usize>,
    mut x: FxHashSet<usize>,
) -> Vec<Vec<usize>> {
    if p.is_empty() && x.is_empty() {
        return vec![r.to_vec()];
    }
    let mut maximal_cliques = Vec::new();
    let Some(&u) = p.iter().next() else {
        return maximal_cliques;
    };
    let mut p_pivot = p.clone();
    for w in &graph[u] {
        p_pivot.remove(w);
    }
    for v in p_pivot {
        let pn = graph[v].iter().filter(|w| p.contains(w)).copied().collect();
        let xn = graph[v].iter().filter(|w| x.contains(w)).copied().collect();
        r.push(v);
        let new_cliques = bron_kerbosch(graph, r, pn, xn);
        r.pop();
        maximal_cliques.extend(new_cliques);
        p.remove(&v);
        x.insert(v);
    }
    maximal_cliques
}

fn part2(input: String) {
    let (graph, names) = parse(&input);
    let p = (0..graph.len()).collect();
    let mut r = Vec::new();
    let maximal_cliques = bron_kerbosch(&graph, &mut r, p, FxHashSet::default());
    let maximum_clique = maximal_cliques
        .iter()
        .max_by_key(|clique| clique.len())
        .unwrap();
    let mut lan_names: Vec<&str> = names
        .iter()
        .filter(|(_, v)| maximum_clique.contains(v))
        .map(|(name, _)| *name)
        .collect();
    lan_names.sort_unstable();
    println!("{}", lan_names.join(","));
}

util::aoc_main!();

fn step(n: u32) -> u32 {
    let a = (n ^ (n << 6)) % (1 << 24);
    let b = a ^ (a >> 5);
    (b ^ (b << 11)) % (1 << 24)
}

fn part1(input: String) {
    let sum = input
        .lines()
        .map(|l| {
            let n = l.parse().unwrap();
            (0..2000).fold(n, |acc, _| step(acc)) as u64
        })
        // More than 2¹⁰ 24-bit numbers requires 35 bits
        .sum::<u64>();
    println!("{sum}");
}

const N_SEQUENCES: usize = 19usize.pow(4);

fn sequence_key(sequence: &[i8]) -> usize {
    sequence
        .iter()
        .enumerate()
        .map(|(i, x)| (x + 9) as usize * 19usize.pow(i as u32))
        .sum()
}

fn part2(input: String) {
    // Table for collecting the amount of bananas for every possible sequence
    let mut table = vec![0; N_SEQUENCES];
    // Mark the sequences we encountered in a round to ensure that only the first occurence is used
    let mut seen = vec![false; N_SEQUENCES];
    for l in input.lines() {
        let n = l.parse().unwrap();
        let (diffs, prices): (Vec<i8>, Vec<u8>) = (0..2000)
            .scan(n, |acc, _| {
                let next = step(*acc);
                let diff = (next % 10) as i8 - (*acc % 10) as i8;
                *acc = next;
                Some((diff, (next % 10) as u8))
            })
            .unzip();
        for (window, price) in diffs.windows(4).zip(prices.iter().skip(3)) {
            let key = sequence_key(window);
            if !seen[key] {
                seen[key] = true;
                table[key] += *price as u32;
            }
        }
        // Reset seen sequences for next round
        seen.fill(false);
    }
    let bananas = table.iter().max().unwrap();
    println!("{bananas}");
}

util::aoc_main!();