Nurikabe puzzle solver at Optimization Methods (slo. Optimizacijske Metode).
Solves any-size Nurikabe using a series of logical procedures and rules. Harder puzzles use partially-threaded guess and backtrack in addition to logical solving steps.
usage: nurisolver.py [-h] [--plot] [--guess G] [--verbose [L]] [--debug] [--threads N] [file]
Nurikabe Solver
positional arguments:
file read puzzle from file (run tests if none)
optional arguments:
-h, --help show this help message and exit
--plot, -p plot solution (requires pygame)
--guess G, -g G guess steps when logic is exhausted, limited by maximum amount of failed
guesses (default: 500)
--verbose [L], -v [L]
plot solving steps on mouse button or space key press (requires pygame),
optionally start on given step
--debug, -d log debug steps and plot additional information (requires pygame)
--threads N, -j N use threads for guessing
Targetted at Python 3.9.
$ python -m venv venv(virtual environment)$ source venv/bin/activate$ pip install -r requirements.txt$ pip freeze > requirements.txt(update requirements)
Dependencies:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent