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day04.rs
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day04.rs
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//! # The Ideal Stocking Stuffer
//!
//! This solution relies on brute forcing combinations as quickly as possible using an internal
//! implementation of the [`MD5`] hashing algorithm.
//!
//! Each number's hash is independent of the others, so we speed things up by using threading
//! to search in parallel in blocks of 1000 numbers at a time.
//!
//! Using the [`format!`] macro to join the secret key to the number is quite slow. To go faster
//! we reuse the same `u8` buffer, incrementing digits one at a time.
//! The numbers from 1 to 999 are handled specially.
//!
//! Interestingly the total time to solve this problem is *extremely* sensitive to the secret key
//! provided as input. For example my key required ~10⁷ iterations to find the answer to part two.
//! However for unit testing, I was able to randomly find a value that takes only 455 iterations,
//! about 22,000 times faster!
//!
//! [`MD5`]: crate::util::md5
//! [`format!`]: std::format
use crate::util::md5::*;
use std::sync::atomic::{AtomicBool, AtomicU32, Ordering};
use std::thread;
pub struct Shared {
prefix: String,
done: AtomicBool,
counter: AtomicU32,
first: AtomicU32,
second: AtomicU32,
}
pub fn parse(input: &str) -> Shared {
let shared = Shared {
prefix: input.trim().to_owned(),
done: AtomicBool::new(false),
counter: AtomicU32::new(1000),
first: AtomicU32::new(u32::MAX),
second: AtomicU32::new(u32::MAX),
};
// Handle the first 999 numbers specially as the number of digits varies.
for n in 1..1000 {
let (mut buffer, size) = format_string(&shared.prefix, n);
check_hash(&mut buffer, size, n, &shared);
}
// Use as many cores as possible to parallelize the remaining search.
thread::scope(|scope| {
for _ in 0..thread::available_parallelism().unwrap().get() {
scope.spawn(|| worker(&shared));
}
});
shared
}
pub fn part1(input: &Shared) -> u32 {
input.first.load(Ordering::Relaxed)
}
pub fn part2(input: &Shared) -> u32 {
input.second.load(Ordering::Relaxed)
}
fn format_string(prefix: &str, n: u32) -> ([u8; 64], usize) {
let string = format!("{prefix}{n}");
let size = string.len();
let mut buffer = [0; 64];
buffer[0..size].copy_from_slice(string.as_bytes());
(buffer, size)
}
fn check_hash(buffer: &mut [u8], size: usize, n: u32, shared: &Shared) {
let (result, ..) = hash(buffer, size);
if result & 0xffffff00 == 0 {
shared.second.fetch_min(n, Ordering::Relaxed);
shared.done.store(true, Ordering::Relaxed);
} else if result & 0xfffff000 == 0 {
shared.first.fetch_min(n, Ordering::Relaxed);
}
}
fn worker(shared: &Shared) {
while !shared.done.load(Ordering::Relaxed) {
let offset = shared.counter.fetch_add(1000, Ordering::Relaxed);
let (mut buffer, size) = format_string(&shared.prefix, offset);
for n in 0..1000 {
// Format macro is very slow, so update digits directly
buffer[size - 3] = b'0' + (n / 100) as u8;
buffer[size - 2] = b'0' + ((n / 10) % 10) as u8;
buffer[size - 1] = b'0' + (n % 10) as u8;
check_hash(&mut buffer, size, offset + n, shared);
}
}
}