adventofcode2022

Advent of Code puzzles and solutions for 2022: https://adventofcode.com/2022

Using this repository

This is my personal repository for Advent of Code solutions, but anyone is welcome to use all or part of it to aid in their own solutions. I have created some automation to help me be lazy during the puzzle season, primarily using GNU Make.

Initial Setup - Python

• I use pyenv to manage my Python versions, and have targeted Python 3.11 for this repo primarily because it's newer and I wanted to try it out.
• I use pipenv to manage Python virtualenvs and install dependencies. The Pipfile and Pipfile.lock files are provided. My primary dependencies are pytest and coverage for TDD / testing workflow, and jinja2-cli for automatic creations of daily solution files via templates.
• Because they are programming language agnostic, the puzzle text and input data files for each day's puzzle are manually downloaded and copied into the puzzles directory as plaintext files. I may automate this later if I'm not too lazy to figure out the authentication bit. Note that AoC data is generated randomly per indivdual user, so my data will not match yours.

Make targets

The Python solutions utilize GNU Make to automate common daily setup and testing tasks.

Environment Variables The Makefile expects an environment variable named DAY to indicate which day's puzzle to operate on. This is used by most of the make targets. You can specify the day per command, as in DAY=1 make solve or set it once via export to reduce repetition, as follows:

$ export DAY=1
$ make setup
$ make test
$ make solve

make setup - Creates the "day" directory for the puzzle and uses the Jinja2 templates to create an initial skeleton script and support files.

make edit - Open the script files created by setup in the configured editor (default: vim)

make test - Runs pytest on the current "day" directory

make solve - Execute the "solve.py" script in the current day's directory to run the puzzle solution and provide an answer to paste into the AoC website.

make timer - Execute the "solve.py" script as in the solve target but using instrumentation to provide feedback on optimizing puzzle solutions.

make cover - Runs coverage while executing pytest to provide feedback on unit test coverage.

Other Languages

Any additional solutions in other languages will be found in root-level subdirectories named for those languages. README files within those directories will document setup and execution steps.