Skip to main content

Procedural Match-3 Puzzle Generator and Solver

Project description

puzzlegen - Procedural Match-3 Puzzle Generator

Developed by Caroline DAKOURE

Github Repository: https://github.com/carodak/puzzlegen/

Overview

puzzlegen is a Python package for generating, visualizing, and solving procedural Match-3 puzzles. It allows you to create single puzzles or batches, visualize them, and automatically find solutions using a Breadth-First Search (BFS) solver.


Features

  • Random puzzle generation with customizable grid size, colors, and block counts
  • Automatic solver (BFS) to check puzzle solvability within a given number of moves
  • Batch generation: create and filter many puzzles at once
  • Visualization: display puzzles and solutions as images or PDFs
  • Export: save puzzles and solutions as PDF or CSV

Installation

pip install puzzlegen

Or, if you want to install from the github repository that may contain more up-to-date versions:

pip install git+https://github.com/carodak/puzzlegen.git

Or, if you want to clone and install locally:

git clone https://github.com/carodak/puzzlegen.git
cd puzzlegen
pip install .

Basic Usage

Example 1: Randomly generate and solve a single puzzle

from puzzlegen.frontend import SinglePuzzle

# 1. Create a puzzle game
puzzle = SinglePuzzle(nb_blocks=10, colors=['red', 'blue', 'gray'], nb_moves=5, grid_size=(12, 12))

# 2. Generate a random puzzle
puzzle.generate()

# 3. Display the puzzle
puzzle.show()

# 4. Attempt to solve the puzzle (i.e., find a solution within nb_moves)
solution = puzzle.solve()

# 5. Save the solution and batch as files
puzzle.show_solution()

Example 2: Generate a batch of solvable puzzles

from puzzlegen.frontend import PuzzleBatch

# 1. Create a batch of puzzles
batch = PuzzleBatch(
    blocks_range=(6, 10),
    colors_range=(2, 4),
    colors_blocks=['blue', 'red', 'gray'],
    nb_moves=5,
    grid_size=(12, 6),
    stack_probability=0.75
)

# 2. Generate the batch
batch.generate()

# 3. Show statistics and save the results
batch.show_stats()
batch.save_pdf("batch_puzzles.pdf")
batch.save_csv("batch_puzzles.csv")

Other option

You may also use the package directly from the Jupyter notebooks in examples/basic_usage.ipynb — no installation required.

For additional detailed usage examples, please see:

examples folder

This script demonstrates how to generate, solve, and save puzzles using the puzzlegen package.


Puzzle Rules

  1. Puzzle Setup: The game board is a grid with colored blocks. Blocks are initially placed in the last row or stacked on top of each other. No more than 2 blocks of the same color are aligned horizontally or vertically. Each color must have at least 3 blocks.
  2. GamePlay: The goal is to remove all blocks from the grid in as few moves as possible.
  3. Available Moves:
    • Simple Move: Move a block left or right if the target cell is empty.
    • Exchange: Swap a block with its left or right neighbor if the target cell is occupied.
  4. Elimination Rule: If 3 or more blocks of the same color are aligned horizontally or vertically, they disappear.
  5. Gravity Rule: Blocks fall down if unsupported until they reach another block or the bottom of the grid.
  6. Winning Condition: All blocks are removed from the grid within the allowed number of moves.

Executive Function Task Reference: https://osf.io/3pz74/wiki/home/


Project Structure

  • src/puzzlegen/core/ – Core logic (puzzle generation, solver, batch processing, etc.)
  • src/puzzlegen/frontend.py – User-friendly interface for puzzle creation and batch operations
  • examples/ – Example notebooks and scripts to help you get started
  • tests/ – Unit tests for code reliability
  • outputs/ – Folder where generated puzzles and results are saved

The API Documentation is available in docs folder.


Contributing

Pull requests and suggestions are welcome!
Please add tests for any new features.


Resources


License

GPL-3.0


Contact:
caroline.dakoure@umontreal.ca

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

puzzlegen-0.1.1.tar.gz (35.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

puzzlegen-0.1.1-py3-none-any.whl (33.0 kB view details)

Uploaded Python 3

File details

Details for the file puzzlegen-0.1.1.tar.gz.

File metadata

  • Download URL: puzzlegen-0.1.1.tar.gz
  • Upload date:
  • Size: 35.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for puzzlegen-0.1.1.tar.gz
Algorithm Hash digest
SHA256 7ea004d23556a76c38b81ebda647c550abf996cb96ae2733cae76e249f18f7df
MD5 6f40bdf2a9d90482f5e0189cca34901a
BLAKE2b-256 179edbd412e5a317722588f69af3f342c8fcf7ead4c07d94a19462061b010f31

See more details on using hashes here.

File details

Details for the file puzzlegen-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: puzzlegen-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 33.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for puzzlegen-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 78476146502837900515690087499f12e6b948510bb57456c398dd16f85b85be
MD5 9248f927b24329ad3d02b6328b5fa457
BLAKE2b-256 dbf38707b05bb34ad2eea8e69fce7632d1556c88e6343055db7d81676eebfac5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page