pyggle 1.1.305

Python-based package that allows you to solve any N x M Boggle board.

Pyggle

GitHub: https://github.com/andrearcaina/pyggle

PyPi: https://pypi.org/project/pyggle/

Find all possible words given a board and words, with a visual representation of the algorithm! Check lib/docs for package details. For an example on how to use pyggle, check lib/examples/example.py!

Installation

pip install pyggle

Usage

from pyggle import Boggle

board = "ea st" # or [["e", "a"], ["s", "t"]], both work

# if words is not passed as an argument of type list, will utilize 479k words (all in English)
# if official is not given as a boolean argument, find all words regardless of length
boggle = Boggle(board)

# prints word: [coords of each character] format.
boggle.print_result()

For more functions from pyggle, check lib/examples/2x2_example.py or lib/docs/api-reference.md

Output

I don't know how "ae" or "aes" or "ast" is a word, but here is where I got the 479k word list

a: [(0, 1)]
ae: [(0, 1), (0, 0)]
aes: [(0, 1), (0, 0), (1, 0)]
aet: [(0, 1), (0, 0), (1, 1)]
as: [(0, 1), (1, 0)]
ase: [(0, 1), (1, 0), (0, 0)]
ast: [(0, 1), (1, 0), (1, 1)]
at: [(0, 1), (1, 1)]
ate: [(0, 1), (1, 1), (0, 0)]
ates: [(0, 1), (1, 1), (0, 0), (1, 0)]
e: [(0, 0)]
ea: [(0, 0), (0, 1)]
east: [(0, 0), (0, 1), (1, 0), (1, 1)]
eat: [(0, 0), (0, 1), (1, 1)]
eats: [(0, 0), (0, 1), (1, 1), (1, 0)]
es: [(0, 0), (1, 0)]
est: [(0, 0), (1, 0), (1, 1)]
et: [(0, 0), (1, 1)]
eta: [(0, 0), (1, 1), (0, 1)]
etas: [(0, 0), (1, 1), (0, 1), (1, 0)]
s: [(1, 0)]
sa: [(1, 0), (0, 1)]
sae: [(1, 0), (0, 1), (0, 0)]
sat: [(1, 0), (0, 1), (1, 1)]
sate: [(1, 0), (0, 1), (1, 1), (0, 0)]
se: [(1, 0), (0, 0)]
sea: [(1, 0), (0, 0), (0, 1)]
seat: [(1, 0), (0, 0), (0, 1), (1, 1)]
set: [(1, 0), (0, 0), (1, 1)]
seta: [(1, 0), (0, 0), (1, 1), (0, 1)]
st: [(1, 0), (1, 1)]
sta: [(1, 0), (1, 1), (0, 1)]
t: [(1, 1)]
ta: [(1, 1), (0, 1)]
tae: [(1, 1), (0, 1), (0, 0)]
tas: [(1, 1), (0, 1), (1, 0)]
te: [(1, 1), (0, 0)]
tea: [(1, 1), (0, 0), (0, 1)]
teas: [(1, 1), (0, 0), (0, 1), (1, 0)]
ts: [(1, 1), (1, 0)]