gobang with python

see: chinese readme from csdn blog

overview

This project implements a gobang game with GUI.

features

• Interface using 'tkinter' design;
• Provides a simple Minxmax game algorithm;
• Both players of the game can be set manually through the mouse click;
• Both players of the game can be set to AI Agent
• The game supports automatic repeatedly start (easy to test AI algorithms);
• Easy to embed other algorithms;

process

• Run 'gobang.py' to start the program;
• Click the menu "Option" to toggle the algorithm used by "Player 0" and" Player 1". "Player 0" is black," Player 1" is white. Default is "ManualAgent".
• if you need to start game repeatedly(used to test the algorithm performance), select menu "Game | repeat" for repetitions, the default is not repeated.
• click on the menu "Game | Start", Start the Game.
• in the process of the Game, you can click on the menu "Game | Restart" to Restart the Game.

文件组成

文件	说明
agent.py	Agent meta class
gobang_cli.py	gobang with cli.
gobang.py	Gobang class with GUI, This class inherits from mainwindow.Mainwindow.
mainwindow.py	Mainwindow class.
minimax.py	Minimax class, This class inherits from agent.Agent
random_agent.py	RandomAgent class for random play, This class inherits from agent.Agent
utils.py	Utility classes and functions. Includes check for check winning, show_board for display the checkerboard, and Piece class for enumerate the pieces.

About embedding your AI algorithm

You can easily embed your AI algorithm. All AI algorithms should inherit from the agent.Agent class, refer to random_Agent.RandomAgent class and minimax.minimax class design. Then add your AI algorithm to the player_agents list in gobang.py.