Advent of Code 2024

For AOC 2023, I explored creating WASM and pyo3 bindings for Rust and benchmarking the performance compared to pure Python solutions. That took a lot of time. This year, I'm focusing on the developer experience of solving only in Rust. While I initially did create pyo3 and wasm bindings, the compile times for pyo3 in particular were a pain point so I've recreated this repo without them.

New day scaffolding

1. Create empty data/dayNN.txt and data/dayNN_sample.txt files
2. Add src/dayNN.rs and put in functions for part1 and part2 that take a file name and return 0

• Add tests that assert reading the sample data for part 1 and part 2 both return 0

3. Add the new day to src/lib.rs
4. Update src/main.rs to run the new day part 1
5. Adding the new day to benches/timings.rs

After that I'll copy relevant data into the data/ files and begin iterating on a solution.

Style Guide

• Avoid hard to read multi-line functional calls
• Avoid lifetimes and high-level abstractions in favor of simplicity, can use liberal .clone() if needed
• Use logging not print statements while iterating on a solution

Benchmarks

From cargo criterion:

day01 part1             time:   [130.40 µs 131.61 µs 132.56 µs]                        
day01 part2             time:   [149.91 µs 150.41 µs 151.00 µs]                        

day02 part1             time:   [210.89 µs 213.28 µs 215.61 µs]                        
day02 part2             time:   [340.30 µs 342.93 µs 346.07 µs]                        

day03 part1             time:   [373.74 µs 375.40 µs 377.33 µs]                        
day03 part2             time:   [422.36 µs 423.93 µs 425.82 µs]                        

day04 part1             time:   [8.4948 ms 8.7272 ms 8.9484 ms]                        
day04 part2             time:   [798.51 µs 813.75 µs 829.55 µs]                        

day05 part1             time:   [4.3618 ms 4.3757 ms 4.3919 ms]                         
day05 part2             time:   [6.4606 ms 6.4740 ms 6.4877 ms]                        

day06 part1             time:   [470.09 µs 472.87 µs 475.75 µs]                        
day06 part2             time:   [115.21 ms 116.44 ms 117.69 ms]                        

day07 part1             time:   [5.0460 ms 5.2199 ms 5.3922 ms]                         
day07 part2             time:   [50.467 ms 51.372 ms 52.261 ms]  

day08 part1             time:   [37.466 µs 37.902 µs 38.390 µs]
day08 part2             time:   [108.28 µs 109.14 µs 110.10 µs]

day09 part1             time:   [692.10 ms 695.10 ms 698.91 ms]
day09 part2             time:   [1.2898 s 1.2934 s 1.2979 s]