def make(environment_name="Hanabi-Full",
num_players=2,
mcts_player=0,
determine_type=0,
score_type=0,
pyhanabi_path=None):
"""Make an environment.
Args:
environment_name: str, Name of the environment to instantiate.
num_players: int, Number of players in this game.
pyhanabi_path: str, absolute path to header files for c code linkage.
Returns:
env: An `Environment` object.
Raises:
ValueError: Unknown environment name.
"""
if pyhanabi_path is not None:
prefixes = (pyhanabi_path, )
assert pyhanabi.try_cdef(prefixes=prefixes), "cdef failed to load"
assert pyhanabi.try_load(prefixes=prefixes), "library failed to load"
if (environment_name == "Hanabi-Full"
or environment_name == "Hanabi-Full-CardKnowledge"):
return MCTSEnv(
config={
"colors":
5,
"ranks":
5,
"players":
num_players,
"mcts_player":
mcts_player,
"determine_type":
determine_type,
"score_type":
score_type,
"max_information_tokens":
8,
"max_life_tokens":
3,
"observation_type":
pyhanabi.AgentObservationType.CARD_KNOWLEDGE.value
})
else:
raise ValueError("Unknown environment {}".format(environment_name))
def make(environment_name="Hanabi-Full", num_players=2, pyhanabi_path=None):
"""Make an environment.
Args:
environment_name: str, Name of the environment to instantiate.
num_players: int, Number of players in this game.
pyhanabi_path: str, absolute path to header files for c code linkage.
Returns:
env: An `Environment` object.
Raises:
ValueError: Unknown environment name.
"""
if pyhanabi_path is not None:
prefixes = (pyhanabi_path, )
assert pyhanabi.try_cdef(prefixes=prefixes), "cdef failed to load"
assert pyhanabi.try_load(prefixes=prefixes), "library failed to load"
if (environment_name == "Hanabi-Full"
or environment_name == "Hanabi-Full-CardKnowledge"):
return HanabiEnv(
config={
"colors": 5,
"ranks": 5,
"players": num_players,
"max_information_tokens": 8,
"max_life_tokens": 3,
"observation_type":
pyhanabi.AgentObservationType.CARD_KNOWLEDGE.value,
'random_start_player': True
})
elif environment_name == "Hanabi-Full-Minimal":
return HanabiEnv(
config={
"colors": 5,
"ranks": 5,
"players": num_players,
"max_information_tokens": 8,
"max_life_tokens": 3,
"observation_type": pyhanabi.AgentObservationType.MINIMAL.value
})
elif environment_name == "Hanabi-Small":
return HanabiEnv(
config={
"colors":
2,
"ranks":
5,
"players":
num_players,
"hand_size":
2,
"max_information_tokens":
3,
"max_life_tokens":
1,
"observation_type":
pyhanabi.AgentObservationType.CARD_KNOWLEDGE.value
})
elif environment_name == "Hanabi-Very-Small":
return HanabiEnv(
config={
"colors":
1,
"ranks":
5,
"players":
num_players,
"hand_size":
2,
"max_information_tokens":
3,
"max_life_tokens":
1,
"observation_type":
pyhanabi.AgentObservationType.CARD_KNOWLEDGE.value
})
else:
raise ValueError("Unknown environment {}".format(environment_name))