optimization_of_first_search | maze searcher that first searches

by SebastianDahlin Python Version: Current License: No License

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kandi X-RAY | optimization_of_first_search Summary

optimization_of_first_search is a Python library. optimization_of_first_search has no bugs, it has no vulnerabilities and it has low support. However optimization_of_first_search build file is not available. You can download it from GitHub.

A maze searcher that first searches the area for a goal and then optimizes the known route to get there. Intro: An [n,n] sized maze is introduced to a solver. The solver will have a start position and will only know it has reached a goal when the goal is reached. The solver can only move up, down, right and left. Conclusion: The solver does not find a perfect optimum when getting the solution since one needs all data of available space to do this. It does find the shortest route from the space that it has found "walkable".

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Support

optimization_of_first_search has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

optimization_of_first_search has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of optimization_of_first_search is current.

Quality

optimization_of_first_search has no bugs reported.

Security

optimization_of_first_search has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

optimization_of_first_search 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

optimization_of_first_search releases are not available. You will need to build from source code and install.

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

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optimization_of_first_search Key Features

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optimization_of_first_search Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install optimization_of_first_search

You can download it from GitHub.
You can use optimization_of_first_search 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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