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Nonogram Solver

This program solves nonogram puzzles. Nonograms are a type of logic puzzle wherein a list of numbers are give for each row and column signifying which cells of a grid to fill in and which to leave blank.

For more information, please see this Wikipedia article.

Installation

  1. Ensure that you have Python installed. This was developed under version 3.8.10, but many other versions of 3 should also work. Additionally, there should not need to be many changes to get it to work under Python 2.x if, for some reason, that is all you have available to you.

  2. Clone the repository onto your computer.

  3. Optional, but recommended: Setup a virtual environment for the project.

  4. Install the dependencies with the command pip install -r requirements.txt or pip install -r requirements.windows.txt on Windows.

Usage

For instructions, please watch the YouTube video below.

Nonogram Solver usage

Credits

© 2021 Carson F. Ball

Donations

If you like this project and want to see more source code, please contribute if you are able.

PayPal: PayPal donation button

Bitcoin wallet: 3QzgUdXzbLY7oy15XeMJ4W37cfBJDeKj6A

Webull affiliate link: https://a.webull.com/8XVE5sOKtu1sPAStxw

Robinhood affiliate link: join.robinhood.com/carsonb453

License

Creative commons Attribution-NonCommercial (CC BY-NC)

You can share this code (including your own modifications) as long as the following conditions are met. Please see the links below for more information.

  1. You state somewehere in the program credits (and documentation if applicable) that Carson F. Ball is the original author and list the location that the original can be downloaded (LINK HERE).

  2. You do not claim that Carson F. Ball endorses or approved of any modifications that you make and you clearly indicate that you have made modifications.

  3. You do not release this code commercially.

Plain text of the license https://creativecommons.org/licenses/by-nc/4.0/

Full legalese of the license https://creativecommons.org/licenses/by-nc/4.0/legalcode

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  • Python 63.4%
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