def _seed(self, seed=None):
self.np_random, seed1 = seeding.np_random(seed)
# Derive a random seed.
seed2 = seeding.hash_seed(seed1 + 1) % 2**32
pachi_py.pachi_srand(seed2)
shape = pachi_py.CreateBoard(self.board_size).encode().shape
self.observation_space = spaces.Box(np.zeros(shape), np.ones(shape), np_random=self.np_random)
# One action for each board position, pass, and resign
self.action_space = spaces.Discrete(self.board_size**2 + 2, np_random=self.np_random)
return [seed1, seed2]
def _seed(self, seed=None):
self.np_random, seed1 = seeding.np_random(seed)
# Derive a random seed.
seed2 = seeding.hash_seed(seed1 + 1) % 2**32
pachi_py.pachi_srand(seed2)
shape = pachi_py.CreateBoard(self.board_size).encode().shape
self.observation_space = spaces.Box(np.zeros(shape),
np.ones(shape),
np_random=self.np_random)
# One action for each board position, pass, and resign
self.action_space = spaces.Discrete(self.board_size**2 + 2,
np_random=self.np_random)
return [seed1, seed2]
def _seed(self, seed=None):
self.np_random, seed1 = seeding.np_random(seed)
# Derive a random seed.
seed2 = seeding.hash_seed(seed1 + 1) % 2**32
pachi_py.pachi_srand(seed2)
return [seed1, seed2]
def _seed(self, seed=None):
self.np_random, seed1 = seeding.np_random(seed)
# Derive a random seed.
seed2 = seeding.hash_seed(seed1 + 1) % 2 ** 32
pachi_py.pachi_srand(seed2)
return [seed1, seed2]
