def __init__(self,
arrival_rates_time_window: timedelta,
pattern: Pattern,
predefined_statistics: List = None):
primitive_events = pattern.get_primitive_events()
self.__arrival_rates = [0.0] * len(
primitive_events
) if not predefined_statistics else predefined_statistics
self.__event_type_to_indices_map = {}
for i, arg in enumerate(primitive_events):
if arg.type in self.__event_type_to_indices_map:
self.__event_type_to_indices_map[arg.type].append(i)
else:
self.__event_type_to_indices_map[arg.type] = [i]
self.__events_arrival_time = []
self.__arrival_rates_time_window = arrival_rates_time_window
self.__last_timestamp = None
def __init__(self,
pattern: Pattern,
predefined_statistics: List[List[float]] = None):
self.__args = pattern.get_primitive_events()
self.__args_len = len(self.__args)
self.__atomic_condition_to_total_map = {}
self.__atomic_condition_to_success_map = {}
self.__indices_to_atomic_condition_map = {}
self.__relevant_indices = set()
if not predefined_statistics:
self.__selectivity_matrix = [[1.0 for _ in range(self.__args_len)]
for _ in range(self.__args_len)]
else:
self.__selectivity_matrix = predefined_statistics
self.__init_maps(pattern)