ICFPC-2023

Team: Snakes, Monkeys and Two Smoking Lambdas

Write-up: https://pankdm.github.io/icfpc-2023.html

Installation

1. Create .env file with access creds to ICFPC API

# example .env
ICFPC_USER_EMAIL="team@email.com"
ICFPC_USER_PASSWORD="password"

2. If you have Docker and Docker Compose installed - you're done!
3. Otherwise, use make to install dependencies.

Running locally

If you have Docker and Docker Compose:

• make start-docker to start everything at once locally,

...otherwise:

• make start-server to start utility server
• make start-ui to start the visuzliser.

Usage

• To check server authentication with ICFPC API, do this:

curl -X POST localhost:8000/check-auth

• Download all problems:

curl localhost:8000/problems/download

• Submit a solution:

curl -X POST localhost:8000/solutions/<username>/<task_id>

• Submit all solutions:

curl -X POST localhost:8000/solutions/username

• Show problems stats:

python3 ./scripts/problem_stats.py

Scripts

• Run leaderboard monitoring and post updates to slack:

bash ./scripts/monitor_leaderboard.sh

• Update all metadata scores for solutions:

zsh ./scripts/update_metadata_scores.sh

• Update scores and previews for loks_best:

zsh ./scripts/update_best_meta_and_push.sh

• Update solution in best_loks depending on local folder:

make compile && ./main.solver -mode update -solution dm_border2

• Submit all solutions from a folder:

for i in `jot - 1 90`; do bash scripts/submit.sh loks_best $i; done

Repo Structure

• ./problems - problem descriptions
• ./solutions - all solutions
  • ./solutions/_base - best solutions
  • ./solutions/$USERNAME - personal sandboxes
• ./solvers - all solvers
  • ./solvers/cpp - C++
  • ./solvers/cpp/*.solver - binaries for C++ solvers
  • ./solvers/python - Python
• ./solvers/python/*.py -- python sources
• ./server -- python flask server. Uses ICFPC API: download leaderboard, upload solutions, provides files for UI
• ./ui -- UI: visualizer, scoreboard, leaderboard