安装与使用

这个专案是一个Python 程式库以便让使用者学习逻辑与Python 程式设计。它包含了两个套件，一个是Sudoku，另一个是Matrix。 Sudoku 是一个以物件导向程式设计的模组，而Matrix 则是一个传统程式设计的模组。

这个专案与文件只要是提供给Sudoku 套件来使用。 Matrix 只是提供给传统程式设计者做一参考。

安装方法

你可以使用 pip 来安装这个专案:

pip install SudokuStudyLib

你也可以到下列网址来复制整个专案:

https://github.com/RobertOfTaiwan/SudokuStudyLib

当你安装完毕后，你安装的目录应包含了两个套件，sudoku 及matrix。下面就是整个目录的结构表:

使用方法

1. 物件导向：sudoku，在 test.py:

   from sudoku import *
   
   # to solve a sudoku defined in data directory
   solve("m18.data")
   
   pass
   
   # to solve a sudoku and just using the methods which level <= 15 and if can't solve, don't use guess method
   solve("m3.data", level_limit=15, use_try=False)
   
   pass
   
   # to solve a sudoku with emulator methods and print the steps
   solve("m12.data", use_emu=True, print_step=True)
   
   pass
   
   # to solve the world's best difficult sudoku
   # by default method
   solve("m10.data")
   
   # by computer's try error
   try_error(None, file="m10.data")
   
   # by all methods but not using human guessing, it can't solve the sudoku
   solve("m10.data", use_emu=True, use_try=False)
   
   # by basic human methods and guess
   solve("m10.data", level_limit=10, use_try=True)
   solve("m10.data", level_limit=3, use_try=True)
   

2. 传统方法 ：matrix，在 test.py:

   from matrix import *
   
   # solve it directly
   m, n, p = main("m6.data")
   
   # solve it by limit methods, it can't solve the sudoku
   m, n, p = main("m3.data", methods=8)
   
   # set the limit methods to the 10, and it can solve the sudoku
   m, n, p = main("m3.data", methods=10)
   
   # using the try error's method to solve the best difficult sudoku in the world
   m, n, p = TryError("m10.data")