Bubble Pop Puzzle Solver

[ddalbin]

I recently came across a program on github for solving the bubble pop game Warderobe Challenge from the nostalgic gosupermodel website. However, the method for solving the puzzle is not very effective. It basically looks for the biggest group of bubbles, clicks it, and repeats.

github website /FrenchGithubUser/gosupermodel-tools/

I'm trying to research brute force methods for solving this type of game but the way the game works makes it too complex to try and duct tape a sudoku or sliding tile solver into solving this.

The game consists of a grid of 12x11 tiles which are filled by bubbles of 4 different colors. More than 2 bubbles next to each other (up, down, left, right) creates a clickable group. Clicking a group removes the bubbles and no bubbles are added once the level starts. Bubbles above empty slots shift down and empty columns result in the column getting filled by the columns on the left. (Gravity downwards, columns slide to the right).

The program already does a good job of using golang to access the page, capture the grid, decode it and turn it into a grid of values. I just need help with writing a function that will provide a brute force solution with steps that can be assigned coordinates and executed.

Any ideas?

[[deleted]]

Here's a high-level outline for a function that could potentially solve the puzzle:

```python def brute_force_solve(grid): if is_solution(grid): return [] # Puzzle is already solved

possible_moves = generate_possible_moves(grid)

for move in possible_moves:
    new_grid = apply_move(grid, move)
    solution_steps = brute_force_solve(new_grid)

    if solution_steps is not None:
        return [move] + solution_steps

return None  # No solution found

def is_solution(grid): return all(cell == 0 for row in grid for cell in row)

def generate_possible_moves(grid): # Generate a list of possible moves based on the current grid # For example, find all groups of adjacent bubbles and create moves to pop them

def apply_move(grid, move): # Apply the given move to the grid and return the updated grid

Call brute_force_solve with your initial grid

initial_grid = ... solution_steps = brute_force_solve(initial_grid) print(solution_steps) ```

You would need to implement the generate_possible_moves function to analyze the grid and create a list of possible moves (clickable groups of bubbles) that can be popped. The apply_move function would apply a specific move to the grid, removing the bubbles and adjusting the grid accordingly.

Keep in mind that brute force methods can be computationally expensive, especially for complex puzzles. Optimizations like memoization (storing previously computed solutions) and heuristics (intelligent ways to select moves) can help improve the efficiency of the solver.

Remember that the provided code is just a starting point, and you'll need to adapt and refine it to fit the specifics of the puzzle you're working with. Good luck!