Created
February 18, 2017 12:17
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class State: | |
state_id_counter = 0 | |
def __init__(self, initial=False, final=False): | |
#setting an unique id | |
self.id = State.state_id_counter | |
State.state_id_counter += 1 | |
#setting params | |
self.initial = initial | |
self.final = final | |
self.transition = {} | |
def add_transition(self, char, state): | |
if char in self.transition: | |
self.transition[char].append(state) | |
else: | |
self.transition[char] = [state] | |
def is_deterministic(self): | |
return all(map( | |
lambda k: len(self.transition[k]) <= 1, | |
self.transition.keys())) | |
def __acronyme(self): | |
s = "State" | |
if self.final: | |
s = "F" + s | |
if self.initial: | |
s = "I" + s | |
return s | |
def __repr__(self): | |
t = {} | |
for k in self.transition: | |
t[k] = str(self.transition[k][0]) | |
return "<{} {}: {}>".format(self.__acronyme(), self.id, t) | |
def __str__(self): | |
return "<{} {}>".format(self.__acronyme(), self.id) | |
class AFD: | |
def __init__(self, *states): | |
self.states = states | |
self.__last_lecture = [] | |
c = 0 | |
for s in states: | |
#check all states are 'deterministic' | |
if not s.is_deterministic(): | |
raise Exception("A non determinist state has been added !! :'(") | |
#set initial state and check there is not too much | |
if s.initial: | |
c += 1 | |
self.initial_state = s | |
if c > 1: | |
raise Exception("To many initial states !! :'(") | |
def get_last_lecture_sequence(self): | |
return self.__last_lecture | |
def read(self, *word): | |
self.__last_lecture = [] | |
current = self.initial_state | |
for c in word: | |
if c in current.transition: | |
self.__last_lecture.append(current) | |
current = current.transition[c][0] | |
else: | |
raise Exception("No transition for this char : {} !! :'(".format(c)) | |
#check if the last state is a valid final state | |
if not current.final: | |
raise Exception("Not a valid final state !! :'(") | |
return True | |
def is_word_recognized(self, *word): | |
try: | |
return self.read(*word) | |
except: | |
return False | |
def complete(self, *alphabet): | |
if alphabet == (): #autodetect alphabet from states | |
alphabet = [] | |
for s in self.states: | |
alphabet.extend(s.transition.keys()) | |
#remove duplicate | |
alphabet = list(set(alphabet)) | |
#create the absorbing state | |
absorbing_state = State() | |
for c in alphabet: | |
absorbing_state.add_transition(c, absorbing_state) | |
#create all missing transition to the absorbing state | |
for s in self.states: | |
for c in alphabet: | |
if not c in s.transition: | |
s.add_transition(c, absorbing_state) | |
#add the absorbing state to the automaton | |
self.states = tuple(list(self.states) + [absorbing_state]) | |
def __str__(self): | |
s = "<ADF>" + chr(10) | |
for state in self.states: | |
s += state.__repr__() + chr(10) | |
return s[:-1] | |
def __repr__(self): | |
return str(self) | |
if __name__ == "__main__": | |
#create states | |
s1 = State(initial=True) | |
s2 = State(final=True) | |
#linking them | |
s1.add_transition('a', s2) | |
s2.add_transition('a', s2) | |
s2.add_transition('b', s1) | |
#create automaton | |
automaton = AFD(s1, s2) | |
#test it | |
print '' | |
print "WORD\tVALID\tSEQUENCE" | |
def t(afd, str_word): | |
return "{}\t{}".format( | |
afd.is_word_recognized(*str_word), | |
map(str, afd.get_last_lecture_sequence())) | |
words = ["a", "aaa", "aaba", "aaab", "abba"] | |
for w in words: | |
print w, "\t", t(automaton, w) | |
#print the automaton created and the completed one | |
print '' | |
print automaton | |
automaton.complete() | |
print '' | |
print automaton | |
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