def make_attractor_states_dictionary(self):
self.attractor_states_dict={}
for state in self.state_list:
if state.in_attractor==True:
if self.view_states_as_binary:
self.attractor_states_dict[state.as_string()]=[(self.step_automata(state)).as_string(),state.weight]
else:
self.attractor_states_dict[state.as_int()]=[(self.step_automata(state)).as_int(),state.weight]
def step_automata(self,state):
new_state_string=""
for bool_fun_number in range(self.N):
bool_fun_inputs=""
for state_element_number in range(self.K):
bool_fun_inputs += \
state.as_string()[self.links_list[bool_fun_number][state_element_number]]
new_state_string+=self.functions_list[bool_fun_number].evaluate(bool_fun_inputs)
return State(new_state_string)
def p_stay_in_basin(self, state):
basin_number = state.basin_number
basin_size = self.attractor_dict[basin_number][1]
state_number = state.state_number
state_str = state.as_string()
stay_cases = 0
perturbations_amount = len(state_str)
for i in range(perturbations_amount):
inverted_bit = str(1 - int(state_str[i]))
perverted_state_str = state_str[:i] + inverted_bit + state_str[i+1:]
perverted_state = State(perverted_state_str)
if self.state_list[perverted_state.state_number].basin_number == \
basin_number:
stay_cases += 1
return stay_cases / float(perturbations_amount)
def next_state(self,state):
next_state_string=self.state_span[state.as_string()]
next_state_number=State(next_state_string).state_number
next_state_object=self.state_list[next_state_number]
return next_state_object
