def decide_direction_in_responsive_area(board, my_position, size, safe_directions, responsive_area, halite_thresholds):
for halite_threshold in halite_thresholds:
candidate_positions = [pos for pos in responsive_area if board.cells[pos].halite >= halite_threshold]
if candidate_positions:
destination = min(candidate_positions, key=lambda x: calculate_distance(x, my_position, size))
return decide_direction(safe_directions, my_position, destination, size)
return np.random.choice(safe_directions)
def decide_direction_for_rich_position(board, ship, size, safe_directions, percentile_threshold, search_width):
threshold = np.percentile([cell.halite for cell in board.cells.values()], percentile_threshold)
search_range = [((ship.position[0] + i) % size, (ship.position[0] + j) % size) for i in range(search_width) for j in range(search_width)]
target_map = {pos: board.cells[pos].halite for pos in search_range if board.cells[pos].halite >= threshold}
if target_map:
destination = min(target_map.keys(), key=lambda x: calculate_distance(x, ship.position, size))
return decide_direction(safe_directions, ship.position, destination, size)
return np.random.choice(safe_directions)
def decide_direction_for_shipyard(ally_shipyard_ids, my_position, safe_directions, size):
destination = min(ally_shipyard_ids.keys(), key=lambda x: calculate_distance(x, my_position, size))
return decide_direction(safe_directions, my_position, destination, size)
def attack_nearest_shipyard(my_position, size, safe_directions, enemy_shipyard_positions):
destination = min(enemy_shipyard_positions, key=lambda x: calculate_distance(x, my_position, size))
return decide_direction(safe_directions, my_position, destination, size)
def attack_heaviest_ship(safe_directions, enemy_ship_positions, my_position, size):
destination = max(enemy_ship_positions.items(), key=lambda x: x[1])[0]
return decide_direction(safe_directions, my_position, destination, size)