def gamma_golden_move(g: Gamma, player: int, x: int, y: int) -> bool:
if x < 0 or y < 0 or g.board.width <= x or g.board.height <= y:
return False
if player < 1 or player > g.players:
return False
return Gamma.try_golden_move(g, player, x, y)
def apply_gamma(gammas, images):
for gamma in gammas:
for image in images:
cvImage = cv2.imread(image)
gammaImage = Gamma.adjust_gamma(cvImage, gamma)
imagePaths = image.split('/')
imageProps = imagePaths[len(imagePaths) - 1].split('.')
if not os.path.exists('./result_images/gamma'):
os.makedirs('./result_images/gamma')
cv2.imwrite(
'./result_images/gamma/' + imageProps[0] +
str(gamma).replace('.', 'dot') + '.' + imageProps[1],
np.array(gammaImage))
def gamma_new(width: int, height: int, players: int,
areas: int) -> Optional[Gamma]:
if width * height < 1 or players < 1 or areas < 1:
return None
return Gamma(width, height, players, areas)
def gamma_golden_possible(g: Gamma, player: int) -> bool:
return g.is_golden_possible(player)
def gamma_free_fields(g: Gamma, player: int) -> int:
return g.get_free_fields(player)
def gamma_busy_fields(g: Gamma, player: int) -> int:
return g.get_busy_fields(player)
def unsafe_gamma_move(g: Gamma, player: int, x: int, y: int) -> bool:
return g.unsafe_move(player, x, y)