This repository contains my solutions for the Advent of Code 2022 challenges. The environment used is Deno.

The root of the repository contains a folder for each day of the challenge, named 01_calorie-counting, 02_rock-paper-scissors, etc. Each day's folder contains a script that contains my solution for that day. The solutions are written in either TypeScript or Haskell, though primarily TypeScript.

In addition, the /scripts folder contains utility scripts that automate some tasks for me. There is also a README in that directory with further instructions.

To install Deno, follow the instructions on the Deno website.

To run the tests for a given day, use the following command:

$ deno test --allow-read ./<day>/

To run all the tests, use the following command:

$ deno test --allow-read

The flag --allow-read is needed since Deno sandboxes the running programs, and does not allow them to read from the filesystem by default. In these tests, we want to read from the input.txt files that contain the inputs from the solutions.

If the solution for a specific day is written in Haskell, you will need to use cd into the days folder and then use runhaskell to run it, like this:

$ cd ./<day>/
$ runhaskell <script>.hs

If you want to add your own inputs, you can do so. Each test file will read from a sibling input.txt. For example, tests run in ./04_camp-cleanup will attempt to read the input from ./04_camp-cleanup/input.txt. So, you can add an input.txt there and insert your own inputs. You can find a script in the /scripts folder that can help you out with downloading the AoC inputs and put them in input.txt files in the correct location(s) automatically.

This README.md was partly generated by a large language model trained by OpenAI and known as ChatGPT. You can learn more about ChatGPT at https://openai.com/blog/chatgpt/.