A simple wrapper for Z3 solver
Project description
Argyle_Sudoku
This project was partly based on the code from z3-sudoku
This project uses python z3-solver to benchmark encoding techniques to solving the same problem. It then compares the efficiency of each method and between different encoding techniques.
A demo of how to use the library is provided by solving sudoku in ./src/Sudokus
In Sudoku.py
both traditional implementation of adding conditional constraints using if-else
statements and our approach of adding conditional constraints using our custom solver is presented.
An example of two different ways of querying if an index can be set to a number is presented.
Directory Structure
-
/analysis
: Includes scripts and notebooks for analyzing solver performance and generating images for reports or presentations. -
/problem_instances
:/particular_hard_instances_records
: Particular hard instances identified during the generation process, in txt and SMT format/whole_problem_records
: Whole sudoku problems in txt and SMT format- Details of recording format explained here
-
/solvers
: Houses executables and related files for various SMT solvers used in the project. -
/src
: Contains source code for core functionalities./Sudokus/Sudoku.py
: Contains all functionalities of building sudoku with various constraints, logging sudoku instances to files in string format and smt format,/sudoku_database
: Stores string descriptions of generated Sudoku puzzles, both full (solved) and holes (incomplete)./Sudokus/run_sudoku_experiment.py
: This file contains the main function. It takes in a sudoku file and solves it using the methods in sudoku.py. It then prints/ the solution and the time taken to solve it.
-
sudoku_database
: Stores the already generated full and holes sudokuscurrline.txt
: stores the which line of the full sudokus file should the solver generating sudoku holes start loading from and solving when callingrun_experiment
-
/tests
: scripts for development testing -
/time_records
: Direct directory for storing time records from solver runs, highlighting the performance of different solvers.
The workflow is depicted in the following picture:
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