def __init__(self, name: str, config: gymdata.EvaluateConfig,
gympath: gymdata.GymPath, monitoring_q: mpq.Queue,
endevent: multiprocessing.Event, logging_q: mpq.Queue,
predict_request_qs: 'list[mpq.Queue]',
predict_response_q: mpq.Queue, graph: GameGraph):
super().__init__()
graph.truncate_to_roots()
self.name = name
self._mcts_graphs = [graph.deepcopy(), graph.deepcopy()]
self._mcts_searchtables = [dict(), dict()]
self._mcts_current_expansions = set()
self.config = config
self.endevent = endevent
self.logging_q = logging_q
self.predict_request_qs = predict_request_qs
self.predict_response_q = predict_response_q
self.gympath = gympath
self.monitoring_q = monitoring_q
self.logger: logging.Logger
self.debug_stats = {
'searches': 0,
'select_wait': [],
'predict_wait': []
}
self.scores: 'list[int]' = []
def __init__(self, name: str, config: gymdata.SelfPlayConfig,
gympath: gymdata.GymPath, monitoring_q: mpq.Queue,
endevent: multiprocessing.Event, logging_q: mpq.Queue,
predict_request_q: mpq.Queue, predict_response_q: mpq.Queue,
graph: GameGraph):
super().__init__()
graph.truncate_to_roots()
self.name = name
self._mcts_graph = graph.deepcopy()
self._mcts_searchtable = dict()
self._mcts_current_expansions = set()
self.config = config
self.endevent = endevent
self.logging_q = logging_q
self.predict_request_q = predict_request_q
self.predict_response_q = predict_response_q
self.gympath = gympath
self.monitoring_q = monitoring_q
self.logger: logging.Logger
self.debug_stats = {
'searches': 0,
'select_wait': [],
'predict_wait': []
}
self._gamelogs = deque(())
self.modeliteration: int
with open(self.gympath.modelinfo_file) as f:
self.modeliteration = gymdata.ModelInfo.from_json(
f.read()).iterationNr
def test_returntypes(Graph: GameGraph):
assert isinstance(Graph.as_json(), str)
assert Graph.truncate_to_roots() == None
for v in sample(Graph.vertices,
k=min(MAX_VERTEX_CHECK, len(Graph.vertices))):
assert isinstance(Graph.children_at(v, autoexpand=True), tuple)
assert isinstance(Graph.edges_at(v), set)
assert isinstance(Graph.equivalenceclass_of(v), set)
assert isinstance(Graph.representative_of(v), type(v))
assert isinstance(Graph.score_at(v), float)
if not Graph.open_at(v):
assert isinstance(Graph.terminal_at(v), bool)
assert isinstance(Graph.numpify(v), ndarray)
assert isinstance(Graph.deepcopy(), Graph.__class__)