def best_food_around_body(snake: Snake, board: BoardState) -> Tuple[int, Optional[Position]]:
length = snake.get_length()
health = snake.get_health()
body = snake.get_body()
foods = [] #Tuple[int, Position]
position = 0
any_f = False
for part in body:
for direction in Direction:
if board.is_occupied_by_food(part.advanced(direction)):
diff = length - position
add = diff, part
foods.append(add)
any_f = True
position += 1
best_dist = 999999
best_food = None
if any_f:
for dist, food in foods:
if (dist == snake.get_length()) and (health <= 1):
return 1, food
if dist < best_dist and dist <= health:
if dist == health:
return dist, food
best_dist = dist
best_food = food
return best_dist, best_food
else:
return 0, None
def get_valid_actions(board: BoardState, possible_actions: List[Direction],
snakes: List[Snake], my_snake: Snake,
grid_map: GridMap[Occupant],
avoid_food: bool) -> List[Direction]:
my_head = my_snake.get_head()
snake_tails = []
val_actions = []
forbidden_fields = []
for snake in snakes:
if snake.snake_id != my_snake.snake_id:
for direc in snake.possible_actions():
enemy_head = snake.get_head()
forbidden_fields.append(enemy_head.advanced(direc))
if snake.health == 100:
continue
snake_tails.append(snake.get_tail())
for direction in possible_actions:
next_position = my_head.advanced(direction)
# avoid eating
if my_snake.health > Params_ValidActions.FOOD_BOUNDARY and avoid_food and my_snake.get_length(
) > 5:
if grid_map.get_value_at_position(
next_position) is Occupant.Food:
continue
# outofbounds
if board.is_out_of_bounds(next_position):
continue
# body crash -> ganze Gegner Schlange minus letzten Teil
if grid_map.get_value_at_position(
next_position
) is Occupant.Snake and next_position not in snake_tails:
continue
# if next_position in forbidden_fields:
# continue
val_actions.append(direction)
if not val_actions:
for direction in possible_actions:
next_position = my_head.advanced(direction)
# eat if its the only possible valid action
if grid_map.get_value_at_position(
next_position) is Occupant.Food:
val_actions.append(direction)
return val_actions