Q: How do we use constraint propagation to solve the naked twins problem?
A: By using constraint propagation, we are able to check for naked twins' existence in each unit- row, column and square. We can then remove these naked twins' possibilities from their peers' possibilities in each unit.
Q: How do we use constraint propagation to solve the diagonal sudoku problem?
A: We can define an additional constraint- diagonal unit to the existing units- row, column and square. Then by using contraint propagation, we can solve the puzzle through iterative reducing and depth first search.
This project requires Python 3.
We recommend students install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project. Please try using the environment we provided in the Anaconda lesson of the Nanodegree.
Optionally, you can also install pygame if you want to see your visualization. If you've followed our instructions for setting up our conda environment, you should be all set.
If not, please see how to download pygame here.
solutions.py
- You'll fill this in as part of your solution.solution_test.py
- Do not modify this. You can test your solution by runningpython solution_test.py
.PySudoku.py
- Do not modify this. This is code for visualizing your solution.visualize.py
- Do not modify this. This is code for visualizing your solution.
To visualize your solution, please only assign values to the values_dict using the assign_values
function provided in solution.py
The data consists of a text file of diagonal sudokus for you to solve.