def __init__(self, Candidate):
StateA = Candidate.state_a
StateB = Candidate.state_b
my_index = index.get()
self.__state_a = StateA
self.__state_b = StateB
self.__state_index_sequence = StateA.state_index_sequence(
) + StateB.state_index_sequence()
self.__state_index_to_state_key_db = dict(
(state_index, i)
for i, state_index in enumerate(self.__state_index_sequence))
# Combined DropOut and Entry schemes are generated by the same function
entry = TemplateState_Entry(my_index,
self.__state_index_to_state_key_db,
StateA.entry, StateB.entry)
drop_out = MegaState_DropOut(StateA, StateB)
MegaState.__init__(self, entry, drop_out, my_index)
self.__transition_map, \
self.__target_scheme_n = combine_maps(self.__state_a, self.__state_b)
# Compatible with AnalyzerState
# (A template state can never mimik an init state)
self.__engine_type = None # StateA.engine_type
# self.input = None # StateA.input # get_input_action(StateA.engine_type, InitStateF=False)
MegaState.bad_company_set(
self,
self.__state_a.bad_company().union(self.__state_b.bad_company()))
def __init__(self, StartState, StartCharacter, AdaptedTransitionMap):
if StartState is None: return # Only for Clone
assert StartState is None or isinstance(StartState, AnalyzerState)
assert StartCharacter is None or isinstance(StartCharacter, (int, long))
assert AdaptedTransitionMap is None or isinstance(AdaptedTransitionMap, list)
self.index = index.get()
self.entry = PathWalkerState_Entry(self.index, StartState.entry)
self.drop_out = MegaState_DropOut(StartState)
self.__sequence = [ CharacterPathElement(StartState.index, StartCharacter) ]
self.__transition_map = AdaptedTransitionMap
# Set the 'void' target to indicate wildcard.
self.__wildcard_char = StartCharacter
transition_map_tools.set(self.__transition_map, StartCharacter, E_StateIndices.VOID)
