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

API Documentation

The API Documentation is available at https://carodak.github.io/puzzlegen/puzzlegen.html or 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

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