AI-Sudoku | Solving sudoku puzzle using backtracking and AC-3 | Frontend Framework library

by SrinidhiRaghavan Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | AI-Sudoku Summary

AI-Sudoku is a Python library typically used in User Interface, Frontend Framework, React applications. AI-Sudoku has no bugs, it has no vulnerabilities and it has low support. However AI-Sudoku build file is not available. You can download it from GitHub.

In a standard Sudoku puzzle (9x9 grid), there are 81 variables/tiles in total. Each variable is named by its row and its column, and must be assigned a value from 1 to 9, subject to the constraint that no two cells in the same row, column, or box may contain the same value. The initial configuration of sudoku is a partially filled board. The objective is to solve the puzzle such that all the constraints are satisfied. As the given problem has a list of constraints to be satisfied, CSP solutions work efficiently for the sudoky problem as well.

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Quality

Security

License

Reuse

Support

AI-Sudoku has a low active ecosystem.

It has 10 star(s) with 13 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 153 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AI-Sudoku is current.

Quality

AI-Sudoku has no bugs reported.

Security

AI-Sudoku has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

AI-Sudoku does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

AI-Sudoku releases are not available. You will need to build from source code and install.

AI-Sudoku has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed AI-Sudoku and discovered the below as its top functions. This is intended to give you an instant insight into AI-Sudoku implemented functionality, and help decide if they suit your requirements.

Backtracking search
Backtrack assignment
Inference method
Return True if all squares are complete
Determine if variable is consistent with given value
Select the minimum number of unassigned variables
Compute ACK3 constraints
Revise a CSP
Checks if the given node is consistent
Cross product of two arrays

Get all kandi verified functions for this library.

AI-Sudoku Key Features

No Key Features are available at this moment for AI-Sudoku.

AI-Sudoku Examples and Code Snippets

No Code Snippets are available at this moment for AI-Sudoku.

Community Discussions

Trending Discussions on AI-Sudoku

Draw samurai sudoku grid on WPF

QUESTION

Draw samurai sudoku grid on WPF

Asked 2021-Jun-11 at 21:05

I want to draw a samurai sudoku grid on my C# WPF project. this is the example of samurai sudoku

for each TextBox within the grid, I want to load it with dynamic value from the txt file.

txt file : "23987239847239847" (in total 405 integers)

I already have the normal sudoku grid working

code:

...

ANSWER

Answered 2021-Jun-11 at 21:05

Example for demonstration. It is not as difficult as in the picture in the question. But it will not be a problem for you to supplement it.

Source https://stackoverflow.com/questions/67941969

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install AI-Sudoku

You can download it from GitHub.
You can use AI-Sudoku like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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