from dataclasses import dataclass

@dataclass
class MazeConfig:
    # Maze geometry
    maze_cols: int = 15
    maze_rows: int = 15
    cell_size: int = 36
    wall_width: int = 2

    # GA / Training
    population: int = 100
    max_steps: int = 150
    elite_frac: float = 0.30
    n_elite: int = 3          # few elites → maintains population diversity
    mutation_std: float = 0.08
    mutation_rate: float = 0.35
    temperature: float = 0.7  # softmax sampling temperature (lower = more greedy)

    # Neural net — 14 inputs: 4 walls + 2 goal dir + 2 pos + 4 last-action + 1 blocked + 1 revisit
    n_inputs: int = 14
    n_hidden: int = 16
    n_outputs: int = 4

    # Fitness
    goal_bonus: float = 1000.0
    step_penalty: float = 0.01

    # Rendering
    fps: int = 60
    trail_decay: float = 0.88
    window_title: str = "Maze ML — GA Visualizer"
    hud_font_size: int = 18