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Developing a Sudoku Solver and Game with Python: From Puzzles to Solutions

 

Sudoku Solver Algorithm Plan:

  1. Language: Python is ideal for creating algorithms and handling data structures like grids.

  2. Concept: Create a function that inputs a Sudoku puzzle and returns the solved puzzle.

  3. Algorithm:

  • Use backtracking, a form of recursion, to fill in the Sudoku grid.

  • Check each row, column, and 3×3 square for valid numbers.

  • Place a number and move to the next cell if it is valid.

  • If no number is valid, proceed to the previous cell and try a different number.

  1. Validation: Ensure that the numbers are placed according to Sudoku rules.

Sudoku Solver Algorithm Code:

def is_valid(board, row, col, num):
    # Check if a number can be placed in a specific position
    for x in range(9):
        if board[row][x] == num or board[x][col] == num:
            return False
    start_row, start_col = 3 * (row // 3), 3 * (col // 3)
    for i in range(3):
        for j in range(3):
            if board[start_row + i][start_col + j] == num:
                return False
    return True

def solve_sudoku(board):
    for row in range(9):
        for col in range(9):
            if board[row][col] == 0:
                for num in range(1, 10):
                    if is_valid(board, row, col, num):
                        board[row][col] = num
                        if solve_sudoku(board):
                            return True
                        board[row][col] = 0
                return False
    return True

# Example Sudoku Puzzle
board = [
    [5, 3, 0, 0, 7, 0, 0, 0, 0],
    [6, 0, 0, 1, 9, 5, 0, 0, 0],
    [0, 9, 8, 0, 0, 0, 0, 6, 0],
    [8, 0, 0, 0, 6, 0, 0, 0, 3],
    [4, 0, 0, 8, 0, 3, 0, 0, 1],
    [7, 0, 0, 0, 2, 0, 0, 0, 6],
    [0, 6, 0, 0, 0, 0, 2, 8, 0],
    [0, 0, 0, 4, 1, 9, 0, 0, 5],
    [0, 0, 0, 0, 8, 0, 0, 7, 9]
]

if solve_sudoku(board):
    for row in board:
        print(row)
else:
    print("No solution exists")

How to run:

  1. Save this script as a .py file.

  2. Run the script using Python. The script will solve the provided Sudoku puzzle and print the solution.

This code solves a Sudoku puzzle using a back-tracking algorithm. It iteratively fills the board with numbers, checks if the current board state is valid, and backtracks when it reaches a dead end. If the puzzle can be solved, it prints the solvable board; otherwise, it states that no solution exists.

Function for validating numbers

Def is_valid(board, row, col, num):

 # Code to check if a number can be placed in a specific position

  • This function checks whether a number (num) can be placed in a given row and column on the Sudoku board.

  • It checks three conditions:

  1. The number is already in a different row.

  2. The number is already in a different column.

  3. The number is already in a different 3×3 grid.

  • The number can be placed if all conditions are met (returns True). Otherwise, it cannot be (returns False).

Function to Solve Sudoku

Def solve_sudoku(board):

 # Code to solve the Sudoku puzzle using backtracking

  • This function solves the entire Sudoku puzzle.

  • It passes through each grid cell:

    • If a cell is empty (marked as 0), it tries to fill it with a valid number (1-9).

    • If a valid number is found, the function is called recursively to solve the rest of the board.

    • If no valid number can be found for a cell, it resets the cell to 0 and backtracks (tries a different number in the previous cell).

Trying to Solve a Sample Puzzle

Board = […]

  • The board is a 2D list representing a Sudoku puzzle. Empty cells are represented by 0.

Running the Solver

If solve_sudoku(board):

 # Print the solved board

 Else:

 # Print that no solution exists

  • This part of the code attempts to solve the provided puzzle.

  • If solve_sudoku returns True, the puzzle is solved, and the solved board is printed.

  • If it returns False, the puzzle can’t be solved, and a message is printed.

Learning Points for Students

  • Recursion and Backtracking: The algorithm solves the puzzle using recursion (a function calling itself) and backtracking (undoing previous steps).

  • Nested Loops: The code uses loops within loops to go through the rows, columns, and 3×3 grids of the Sudoku puzzle.

  • Problem-Solving: Demonstrates a method to approach and solve a complex problem in steps.

  • Boolean Logic: Uses True/False values to control program flow.

Reference Links to Include:

  1. Python Official Documentation:

    • Purpose: Essential for readers to consult Python’s syntax and libraries.
  2. Pygame for Python Game Development:

    • Purpose: If your tutorial includes building a Sudoku game interface, Pygame documentation can help readers with graphical elements.
  3. GitHub Repositories for Sudoku Solver:

    • Purpose: Provides examples of Sudoku solvers coded in Python, which can offer inspiration and practical coding insights.
  4. Stack Overflow for Python Programming:

    • Purpose: A resource for troubleshooting and exploring community solutions to programming challenges encountered while developing the Sudoku solver and game.

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