100 Days of code (python course by angela) project 7

The code for my maze game is designed to create an automatic solver that navigates through the maze to reach the goal. It leverages the power of Python programming to implement a logical and efficient algorithm that guides the player object through the maze.

The code begins by setting up the initial state of the maze, including the size, walls, and goal position. It then defines the logic for the maze solver algorithm, which employs a combination of pathfinding techniques to determine the optimal path.

To achieve this, the code may utilize well-known algorithms such as breadth-first search (BFS), depth-first search (DFS), or A* search. These algorithms systematically explore the maze, marking visited cells and keeping track of the paths taken. By evaluating the available paths and making informed decisions, the solver progressively moves towards the goal.

The code implements various functions and methods that enable the solver to interact with the maze environment. These functions handle actions such as checking for walls, determining valid moves, updating the solver's position, and detecting the goal state.

Additionally, the code may incorporate features to visualize the solver's progress. This can include displaying the maze grid, highlighting the visited cells, and animating the solver's movement from start to finish. These visual elements provide feedback to the player and enhance the overall gameplay experience.
link:https://reeborg.ca/reeborg.html?lang=en&mode=python&menu=worlds%2Fmenus%2Freeborg_intro_en.json&name=Maze&url=worlds%2Ftutorial_en%2Fmaze1.json

def turn_right():
    turn_left()
    turn_left()
    turn_left()
while front_is_clear():
    move()
turn_left()
    
while not at_goal():
    if right_is_clear():
        turn_right()
        move()
    elif front_is_clear():
        move()
    else:
        turn_left()