chess_base | some logical task on chess pieces
kandi X-RAY | chess_base Summary
kandi X-RAY | chess_base Summary
chess_base is a Python library. chess_base has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
-- install pip install -r requirements.txt. -- tests nosetests -v --with-coverage --cover-package=chess_board,chess_base. -- pylint pylint --py3k chess_board.py. The problem is to find all unique configurations of a set of normal chess pieces on a chess board with dimensions M×N where none of the pieces is in a position to take any of the others. Assume the colour of the piece does not matter, and that there are no pawns among the pieces. Main idea of solution is based around simple backtracking. First of all sort pieces by how many cells they take - from highest to lowest. Time taken for solving 7x7 board with 2 Kings, 2 Queens, 2 Bishops and 1 Knight within 1 minute. UPD - current algorithm (using dict with cells as keys instead of list of lists representing full board) somewhere about 3 times faster than previous, and becuase of storing only hashes much more memory efficient. UPD2 - huge optimisation without calculation of hash makes solution at least 10 times faster than previous.
-- install pip install -r requirements.txt. -- tests nosetests -v --with-coverage --cover-package=chess_board,chess_base. -- pylint pylint --py3k chess_board.py. The problem is to find all unique configurations of a set of normal chess pieces on a chess board with dimensions M×N where none of the pieces is in a position to take any of the others. Assume the colour of the piece does not matter, and that there are no pawns among the pieces. Main idea of solution is based around simple backtracking. First of all sort pieces by how many cells they take - from highest to lowest. Time taken for solving 7x7 board with 2 Kings, 2 Queens, 2 Bishops and 1 Knight within 1 minute. UPD - current algorithm (using dict with cells as keys instead of list of lists representing full board) somewhere about 3 times faster than previous, and becuase of storing only hashes much more memory efficient. UPD2 - huge optimisation without calculation of hash makes solution at least 10 times faster than previous.
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Support
chess_base has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
chess_base has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of chess_base is current.
Quality
chess_base has no bugs reported.
Security
chess_base has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
chess_base 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.
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chess_base releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
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chess_base Key Features
No Key Features are available at this moment for chess_base.
chess_base Examples and Code Snippets
No Code Snippets are available at this moment for chess_base.
Community Discussions
No Community Discussions are available at this moment for chess_base.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install chess_base
You can download it from GitHub.
You can use chess_base 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.
You can use chess_base 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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