Q: How do we use constraint propagation to solve the naked twins problem?
A: Given two boxes that are considered naked twins for a partially solved sudoku puzzle. We can create a second elimination strategy where, for each peer of the provided twins, we eliminate the digits belonging to these peers.
The naked twin strategy becomes another constrain, avoiding the investigation os possilibity trees without a solution (during search
execution). Consequently the solve
method always converge and in a faster pace.
Q: How do we use constraint propagation to solve the diagonal sudoku problem?
A: Both ascending and descending diagonals can be considered units. Consequently, when the elimination strategies are executed on a box which belongs to the diagonals, the elimination becomes even more restrictive increasing the search algorithm conversion.
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.
solution.py
: You'll fill this in as part of your solution.test_solution.py
: Do not modify this. You can test your solution by runningpython -m unittest
.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_value
function provided in solution.py
Before submitting your solution to a reviewer, you are required to submit your project to Udacity's Project Assistant, which will provide some initial feedback.
The setup is simple. If you have not installed the client tool already, then you may do so with the command pip install udacity-pa
.
To submit your code to the project assistant, run udacity submit
from within the top-level directory of this project. You will be prompted for a username and password. If you login using google or facebook, visit this link for alternate login instructions.
This process will create a zipfile in your top-level directory named sudoku-.zip. This is the file that you should submit to the Udacity reviews system.