def __init__(self, target_tree, features):
"""
constructor: Automate
input:
target_tree = Arbre objectif contenue dans un Tree
features = liste des features à prendre en compte pour construire une configuration
Initialise un automate avec les mots de la phrase
labels est la liste des different labels de la phrase
"""
sentence = list()
self.name = list()
for vt in target_tree.vertices:
sentence.append(vt.get_word())
Automate.__init__(self, None, None, sentence)
self.target_tree = target_tree
self.labels = list()
for word in sentence:
# print(word.getFeat('FORM'),'\t',word.getFeat('LABEL'))
l = word.getFeat('LABEL')
self.name = word.getFeat('FORM') # pour voir la phrase
if l is not None: # Si l n'est pas liée au root
if l not in self.labels: # Si l n'est pas déjà dans la liste
self.labels.append(l)
# print(self.labels)
self.features = features
def __init__(self):
self.minIDLength = 8
self.constantAutomate = Automate('config_real.json')
self.IDAutomate = Automate('config_variabila.json')
self.reserved = {}
with open('config.yml') as file:
self.reserved = yaml.load(file, Loader=yaml.FullLoader)
def post(self):
data = request.data
params = request.args
classId = params["class"]
df = pd.read_json(data)
auto = Automate(models) # Generate a Class
auto.split_dataframe(df)
# auto.gridsearchSVM()
json = {}
json["crossvalidate"] = auto.get_cross_validation(20) # 20 fold
#auto.binarize()
#auto.split_test_train()
#json["runtime"] = auto.train_models()
#json["accuracy"] = auto.get_accuracy()
#json["precision-recall"] = auto.get_precision_recall()
#json["roc"] = auto.get_roc()
return json, 201
def post(self):
data = request.data
params = request.args
classId = params["class"]
df = pd.read_json(data)
auto = Automate(models) # Generate a Class
auto.split_dataframe(df)
# auto.gridsearchSVM()
json = {}
json["crossvalidate"] = auto.get_cross_validation(20) # 20 fold
#auto.binarize()
#auto.split_test_train()
#json["runtime"] = auto.train_models()
#json["accuracy"] = auto.get_accuracy()
#json["precision-recall"] = auto.get_precision_recall()
#json["roc"] = auto.get_roc()
return json, 201
def main():
try:
automate = Automate("lexique6.txt")
automate.findWords("abces")
automate.findWords("abces")
automate.findWords("abces")
automate.findWords("abces")
automate.findWords("abces")
automate.findWords("abces")
print(automate.findWords("abc"))
print(automate.getLabel()[0])
print(automate.getLabel()[1])
except IOError:
print("\nERREUR : Nom de fichier erroné")
except ValueError:
print("\nERREUR : Mot cherché n'existe pas dans ce lexique")
except TypeError:
print("\nERREUR : Mot de type inconnu")
def result():
"""
usage:
.../allAttemptedResults?rollno=<>&course=<>®ulation=<>
eg:
.../allAttemptedResults?rollno=163g1a0505&course=b.tech®ulation=r15
"""
rollno = request.args.get('rollno')
course = request.args.get('course')
regulation = request.args.get('regulation')
regulation = regulation.upper()
tmp = course[0:3]
t = tmp.upper()
course = t + course[3:]
regulation = regulation.upper()
print(rollno, course, regulation)
x = Automate(rollno=rollno, course=course, regulation=regulation)
data = x.start()
return data
class WindowsFrame(QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
self.automate = Automate()
def initUI(self):
self.textEdit = QTextEdit()
self.textEdit.setReadOnly(True)
self.setCentralWidget(self.textEdit)
self.statusBar()
reconnuAction = QAction(QIcon('reconnu.png'), '&Reconnaitre', self)
reconnuAction.setShortcut('Ctrl+R')
reconnuAction.setStatusTip('Reconnaire une texte')
reconnuAction.triggered.connect(self.reconnu)
epsilonAction = QAction(QIcon('epsilon.png'),
'&Remove Epsilon TranSition', self)
epsilonAction.setShortcut('Ctrl+E')
epsilonAction.setStatusTip('Enlever les transitions spontanées')
epsilonAction.triggered.connect(self.epsilon)
determiniserAction = QAction(QIcon('determiniser.png'),
'&Determiniser', self)
determiniserAction.setShortcut('Ctrl+D')
determiniserAction.setStatusTip('Determiniser cette automate')
determiniserAction.triggered.connect(self.determiniser)
minimiserAction = QAction(QIcon('minimiser.png'), '&Minimiser', self)
minimiserAction.setShortcut('Ctrl+M')
minimiserAction.setStatusTip('minimiser cette automate')
minimiserAction.triggered.connect(self.minimiser)
openAction = QAction(QIcon('open.png'), '&Open', self)
openAction.setShortcut('Ctrl+O')
openAction.setStatusTip('Opne File')
openAction.triggered.connect(self.showOpenDialog)
saveAction = QAction(QIcon('save.png'), '&Save', self)
saveAction.setShortcut('Ctrl+S')
saveAction.setStatusTip('Save File')
saveAction.triggered.connect(self.showSaveDialog)
exitAction = QAction(QIcon('exit.png'), '&Exit', self)
exitAction.setShortcut('Ctrl+Q')
exitAction.setStatusTip('Exit application')
exitAction.triggered.connect(self.close)
self.statusBar().showMessage('Ready')
menubar = self.menuBar()
fileMenu = menubar.addMenu('&File')
fileMenu.addAction(openAction)
fileMenu.addAction(saveAction)
fileMenu.addAction(exitAction)
self.toolbar = self.addToolBar('open')
self.toolbar.addAction(openAction)
self.toolbar.addAction(saveAction)
self.toolbar.addAction(epsilonAction)
self.toolbar.addAction(determiniserAction)
self.toolbar.addAction(minimiserAction)
self.toolbar.addAction(reconnuAction)
self.setGeometry(300, 300, 250, 150)
self.setWindowTitle('Statusbar')
self.show()
def showOpenDialog(self):
fname = QFileDialog.getOpenFileName(self, 'Open file', '../res')
if fname[0]:
self.automate = automate.openXML(fname[0])[0]
self.textEdit.setText(self.automate.__str__())
def showSaveDialog(self):
fname = QFileDialog.getSaveFileName(self, 'Open file', '../res')
self.automate.export_XML(fname[0])
def epsilon(self):
self.automate.getNFA()
self.textEdit.setText(self.automate.__str__())
def determiniser(self):
self.automate.determiniser()
self.textEdit.setText(self.automate.__str__())
def minimiser(self):
self.automate.minimiser()
self.textEdit.setText(self.automate.__str__())
def reconnu(self):
dialog = Dialog(parent=self)
if dialog.exec_():
self.model.appendRow((
QtGui.QStandardItem(dialog.name()),
QtGui.QStandardItem(str(dialog.age())),
))
dialog.destroy()
def allUrls():
x = Automate.getAllUrls()
x = x[7:-5]
return jsonify(x)
def allResults():
data = Automate.getPublishedResults()
return jsonify({
'published_results': data
})
from state import State
from transition import Transition
from parser import *
print("DEBUT PROGRAMME\n")
s1=State(1, True, True)
s2=State(2, False, False)
t1= Transition(s1,"a",s1)
t2=Transition(s1,"a",s2)
t4=Transition(s2,"a", s2)
t5=Transition(s2,"b",s2)
t6= Transition(s1,"a",s1)
t7= Transition(s2,"b",s1)
listeT1 = [t1,t2,t4,t5,t6,t7]
a=Automate(listStates=[], label="a", listTransitions=listeT1)
print(a)
s3=State(1,True,False)
s4=State(2,False,True)
tb1= Transition(s3,"b",s3)
tb2= Transition(s3,"a",s4)
tb3= Transition(s4,"b",s4)
tb4= Transition(s4,"c",s3)
tb5 = Transition(s3,"b",s4)
listeT2 = [tb1,tb2,tb3,tb4,tb5]
b=Automate(listStates=[s3,s4], label= "b", listTransitions = listeT2)
print(b)
def main():
### EXERCICE 2
# Création des états et des transitions
s0 = State(0, True, False)
s1 = State(1, False, False)
s2 = State(2, False, True)
t1 = Transition(s0, "a", s1)
t2 = Transition(s0, "b", s1)
t3 = Transition(s1, "a", s2)
t4 = Transition(s1, "b", s2)
t5 = Transition(s2, "a", s0)
t6 = Transition(s2, "b", s1)
# On crée l'automate 0 à partir de transitions
auto = Automate([t1, t2, t3, t4, t5, t6])
print(auto)
# On crée l'automate 1 à partir de transitions et d'états (auto et auto1 sont identiques)
auto1 = Automate([t1, t2, t3, t4, t5, t6], [s0, s1, s2])
print(auto1)
# On crée l'automate 2 à partir d'un fichier
auto2 = Automate.creationAutomate("exempleAutomate.txt")
print(auto2)
"""# On print l'automate 0 dans un pdf
auto.show("auto_ListeTrans")
# On print l'automate 0 dans un pdf
auto1.show("auto1_ListeTrans")
# On print l'automate 0 dans un pdf
auto2.show("auto2_ListeTrans")"""
# TRAVAIL SUR L'AUTOMATE 0
# On supprime une transition (t1) et on affiche le résultat
auto.removeTransition(t1)
print(auto)
# On rajoute la transition supprimée et on affiche le résultat
auto.addTransition(t1)
print(auto)
# On supprime l'état 1 (s1) de l'automate 0 et on affiche le résultat
auto.removeState(s1)
print(auto)
# On ajoute l'état 1 (s1) de l'automate 0 et on affiche le résultat
auto.addState(s1)
print(auto)
# On affiche les transitions de l'automate 0
print(auto.getListTransitionsFrom(s1))
print()
### EXERCICE 3
# On récupère l'automate auto1 pour effectuer les tests
print("\nTest de la fonction succ sur auto1\n")
print(auto1.succ([s0, s1, s2], "a"))
print()
# On vérifie si un mot est accepté ou non par l'automate auto1
print("\nLes mots sont-ils acceptés par auto1\n")
print("L'automate auto1 accepte-t-il le mot '' : " +
str(Automate.accepte(auto1, "")))
print("L'automate auto1 accepte-t-il le mot 'aababaabbba' : " +
str(Automate.accepte(auto1, "aababaabbba")))
print()
# On vérifie si les automates auto1 et auto2 sont complets
print("\nLes automates sont-ils complets ?\n")
print("L'automate auto1 est-il complet : " +
str(Automate.estComplet(auto1, auto1.getAlphabetFromTransitions())))
print("L'automate auto2 est-il complet : " +
str(Automate.estComplet(auto2, auto2.getAlphabetFromTransitions())))
print()
# On vérifie si les automates auto1 et auto2 sont déterministes
print("Les automates sont-ils déterministes ?\n")
print("L'automate auto1 est-il déterministe : " +
str(Automate.estDeterministe(auto1)))
print("L'automate auto2 est-il déterministe : " +
str(Automate.estDeterministe(auto2)))
print()
# On complète l'automate auto2
#auto2.show("Avant_la_completion.pdf")
new_auto2 = Automate.completeAutomate(copy.deepcopy(auto2),
auto2.getAlphabetFromTransitions())
#new_auto2.show("Apres_la_completion.pdf")
ss0 = State(0, True, False)
ss1 = State(1, True, False)
ss2 = State(2, False, False)
ss3 = State(3, False, True)
tt1 = Transition(ss0, "a", ss0)
tt2 = Transition(ss0, "b", ss0)
tt3 = Transition(ss0, "b", ss1)
tt4 = Transition(ss1, "a", ss2)
tt5 = Transition(ss2, "b", ss3)
# On effectue des tests avec la fonction complementaire
autotest = Automate([tt1, tt2, tt3, tt4, tt5])
print(autotest)
#autotest.show("autotest_avant_comp")
new_autotest2 = Automate.complementaire(
autotest, autotest.getAlphabetFromTransitions())
print(new_autotest2)
#new_autotest2.show("resulat_comp")
# On effectue des tests sur un automate provenant d'un sujet de partiel
print("\nTest sur l'examen\n")
so1 = State(1, True, False)
so2 = State(2, False, False)
so3 = State(3, False, True)
to1 = Transition(so1, "a", so1)
to2 = Transition(so1, "a", so2)
to3 = Transition(so2, "a", so3)
to4 = Transition(so2, "b", so2)
to5 = Transition(so3, "b", so3)
to6 = Transition(so3, "b", so2)
to7 = Transition(so3, "a", so1)
auto3 = Automate([to1, to2, to3, to4, to5, to6, to7], [so1, so2, so3])
print(auto3)
#auto3.show("Automate_Examen")
print("\nL'automate auto3 est-il complet ? " +
str(Automate.estComplet(auto3, auto3.getAlphabetFromTransitions())) +
"\n")
auto3_comp = Automate.completeAutomate(copy.deepcopy(auto3),
auto3.getAlphabetFromTransitions())
print("\nL'automate auto3_comp est-il complet ? " + str(
Automate.estComplet(auto3_comp,
auto3_comp.getAlphabetFromTransitions())) + "\n")
#auto3_comp.show("Automate_Examen_Complété")
auto3_n = Automate([to1, to2, to3, to4, to5, to6, to7], [so1, so2, so3])
print("\nL'automate auto3_n est-il déterministe ? " +
str(Automate.estDeterministe(auto3_n)) + "\n")
auto3_det = Automate.determinisation(auto3_n)
print("\nL'automate auto3_det est-il déterministe ? " +
str(Automate.estDeterministe(auto3_det)) + "\n")
#auto3_det.show("Automate_Examen_Determinise")
print("\nL'automate complémentaire de l'automate auto3 de base\n")
auto3_complementaire = Automate.complementaire(
copy.deepcopy(auto3),
copy.deepcopy(auto3).getAlphabetFromTransitions())
print(auto3_complementaire)
#auto3_complementaire.show("post_complementaire")
# On utilise la fonction de concatenation entre deux automates
prime1 = State(0, True, False)
prime2 = State(1, False, True)
prime3 = State(2, True, False)
prime4 = State(3, False, True)
tprime1 = Transition(prime1, "a", prime2)
tprime2 = Transition(prime2, "b", prime2)
tprime3 = Transition(prime3, "c", prime3)
tprime4 = Transition(prime3, "a", prime4)
auto_exam1 = Automate([tprime1, tprime2])
auto_exam2 = Automate([tprime3, tprime4])
auto_exam_c = Automate.concatenation(auto_exam1, auto_exam2)
print(auto_exam_c)
# On utilise la fonction d'union entre deux automates
st1 = State(1, True, False)
st2 = State(2, False, True)
tr1 = Transition(st1, "a", st1)
tr2 = Transition(st1, "b", st2)
tr3 = Transition(st2, "a", st2)
auto_st_tr1 = Automate([tr1, tr2, tr3])
st3 = State(3, True, False)
st4 = State(4, False, True)
tr4 = Transition(st3, "a", st4)
tr5 = Transition(st3, "b", st4)
tr6 = Transition(st3, "c", st4)
tr7 = Transition(st4, "a", st4)
auto_st_tr2 = Automate([tr4, tr5, tr6, tr7])
auto_test_union = Automate.union(copy.deepcopy(auto_st_tr1),
copy.deepcopy(auto_st_tr2))
print(auto_test_union)
# On utilise la fonction d'intersection entre deux automates
auto_test_intersection = Automate.intersection(copy.deepcopy(auto_st_tr1),
copy.deepcopy(auto_st_tr2))
print(auto_test_intersection)
class Analyser:
'''
Incarca dictionarul mlp c++
'''
def __init__(self):
self.minIDLength = 8
self.constantAutomate = Automate('config_real.json')
self.IDAutomate = Automate('config_variabila.json')
self.reserved = {}
with open('config.yml') as file:
self.reserved = yaml.load(file, Loader=yaml.FullLoader)
'''
Analizeaza codul de pe fiecare linie primita din codul sursa
'''
def analyse(self, lines):
self.code = []
self.errors = []
# print()
# print(self.reserved)
contorL = 1
for uLine in lines:
line = uLine.strip('\t \n ').split(' ')
for atom in line:
if not self.analyseAtom(atom):
self.errors.append((atom, contorL))
contorL += 1
'''
Analizeaza un atom cautand din ce categorie face parte
'''
def analyseAtom(self, atom):
if atom == '':
return True
if atom in self.reserved.keys():
self.code.append((atom, self.reserved[atom]))
return True
elif self.IDAutomate.verifySequence(
atom) and len(atom) < self.minIDLength: #identificator ID
self.code.append((atom, self.reserved['ID']))
return True
elif self.constantAutomate.verifySequence(atom): #identificator CONST
self.code.append((atom, self.reserved['CONST']))
return True
elif self.isComposed(atom):
return True
return False
'''
Analizeaza daca atomul este compus (fara spatii)
'''
def isComposed(self, atom):
for x in self.reserved.keys():
pos = atom.find(x)
if (pos != -1):
atomFound = atom[pos:pos + len(x)]
left = atom[:pos]
right = atom[pos + len(x):]
resultLeft = self.analyseAtom(left)
self.code.append((atomFound, self.reserved[atomFound]))
return resultLeft and self.analyseAtom(right)
return False
from automate import Automate
#2.1 Creation d'automates
#1.
s0 = State(0, True, False)
s1 = State(1, False, False)
s2 = State(2, False, True)
t1 = Transition(s0, "a", s0)
t2 = Transition(s0, "b", s1)
t3 = Transition(s1, "a", s2)
t4 = Transition(s1, "b", s2)
t5 = Transition(s2, "a", s0)
t6 = Transition(s2, "b", s0)
autom = Automate([t1, t2, t3, t4, t5, t6])
#print(autom)
#autom.show("A_ListeTrans")
#2.
auto1 = Automate([t1, t2, t3, t4, t5, t6], [s0, s1, s2])
#print(auto1)
#auto1.show("A_ListeTrans")
#les automates sont identiques
#3.
auto2 = Automate.creationAutomate("auto.txt")
#print(auto2)
#auto2.show("A_ListeTrans")
from automate import Automate from state import State from transition import Transition from parser import * print "\n|Testons les méthodes de la classe Automate|\n" ## On crée les deux atomates de tests ## Préparations pour la création de l'automate a s = State(1, False, False) s2 = State(1, True, False) t = Transition(s, "a", s) t2 = Transition(s, "a", s2) s.insertPrefix(2) a = Automate([t, t2]) a.prefixStates(3) s1 = State(1, True, False) s2 = State(2, False, True) t1 = Transition(s1, "a", s1) t2 = Transition(s1, "a", s2) t3 = Transition(s1, "b", s2) t4 = Transition(s2, "a", s2) t5 = Transition(s2, "b", s2) liste = [t1, t2, t3, t4, t5] ## Création de l'automate a a = Automate(listStates=[], label="a", listTransitions=liste) ## Traitements sur l'automate a (modifications) a.prefixStates(0) a.removeTransition(t5) a.removeTransition(t5)
from automate import Automate
from state import State
from transition import Transition
print("\nFabrication des automates . . .\n")
# auto1
s0_1 = State(0, True, True)
s1_1 = State(1, False, False)
t1_1 = Transition(s0_1, "a", s0_1)
t2_1 = Transition(s0_1, "b", s1_1)
t3_1 = Transition(s1_1, "a", s1_1)
t4_1 = Transition(s1_1, "b", s0_1)
trans1 = [t1_1, t2_1, t3_1, t4_1]
auto1 = Automate(trans1, label="auto1")
# auto2
s0_2 = State(0, True, False)
s1_2 = State(1, False, True)
t1_2 = Transition(s0_2, "b", s0_2)
t2_2 = Transition(s0_2, "a", s1_2)
t3_2 = Transition(s1_2, "b", s1_2)
t4_2 = Transition(s1_2, "a", s0_2)
trans2 = [t1_2, t2_2, t3_2, t4_2]
auto2 = Automate(trans2, label="auto2")
# auto3
s1_3 = State(1, True, False)
s2_3 = State(2, False, False)
s3_3 = State(3, False, True)
# t4 : Transition
t4 = Transition(s1,"b",s2)
# t5 : Transition
t5 = Transition(s2,"a",s0)
# t6 : Transition
t6 = Transition(s2,"b",s1)
# liste_trans : list[Transition]
liste_trans = [t,t1,t2,t3,t4,t5,t6]
# liste_etats : list[State]
liste_etats = [s0,s1,s2]
## creation de l’automate
# auto : Automate
auto = Automate(liste_trans)
# auto1 : Automate
auto1 = Automate(liste_trans, liste_etats)
# auto2 : Automate
auto2 = Automate.creationAutomate("auto.txt")
print(auto)
auto.show("exo1")
#print(auto1)
#auto1.show("exo1_2")
#print(auto2)
#import projet
s0 = State(0, True, False)
s1 = State(1, False, False)
s2 = State(2, False, True)
t1 = Transition(s0, 'a', s0)
t2 = Transition(s0, 'b', s1)
t3 = Transition(s1, 'a', s2)
t4 = Transition(s1, 'b', s2)
t5 = Transition(s2, 'a', s0)
t6 = Transition(s2, 'b', s1)
L = [t1, t2, t3, t4, t5, t6]
#auto=Automate(L)
print(" -auto est l'automate suivant : ")
autoB = Automate.creationAutomate("tripleA.txt")
autoA = Automate.creationAutomate("auto.txt")
#autoA.show('autoA')
#autoB.show('autoB')
#print(autoA)
#print(autoB)
"""Cet automate est complet et déterministe
On test maintenant la fonction succ avec a,b et c (sachant qu'auto2 ne contient pas de transition c
"""
print "\n TEST SUCC \n"
print('# test succ pour autoA.succ(auto2.listStates,"a") : ')
print(autoA.succ(autoA.listStates, "a"))
def __init__(self):
super().__init__()
self.initUI()
self.automate = Automate()
# t1 : Transition
t1 = Transition(s0,"a",s0)
# t2 : Transition
t2 = Transition(s0,"b",s1)
# t3 : Transition
t3 = Transition(s1,"a",s2)
# t4 : Transition
t4 = Transition(s1,"b",s2)
# t5 : Transition
t5 = Transition(s2,"a",s0)
# t6 : Transition
t6 = Transition(s2,"b",s1)
## création de l'automate
# auto,auto1 : Automate
auto = Automate([t1,t2,t3,t4,t5,t6])
auto1 = Automate([t1,t2,t3,t4,t5,t6],[s0,s1,s2])
print(auto)
auto.show("A_ListeTrans")
print(auto1)
auto1.show("A1_ListeTrans")
## auto est bien indentique à auto1
# auto2 : Automate
auto2 = Automate.creationAutomate("auto2.txt")
print(auto2)
auto2.show("A2_listeTrans")
# t : Transition
t = Transition(s0,"a",s1)
l1.remove(e)
l2.remove(e)
return equalList(l1,l2)
else:
return False
#####
# Définition des différents automates de test
#####
# auto1 reconnait les mots sur {a,b} ayant un nombre impair de a
# Déterministe/Complet
s01 = State(0,True,False)
s11 = State(1,False,True)
auto1 = Automate([Transition(s01,'b',s01),Transition(s01,'a',s11),Transition(s11,'b',s11),Transition(s11,'a',s01)])
# auto2 reconnait les mots de la forme a*b*
# Déterministe/Non Complet
s02 = State(0,True,True)
s12 = State(1,False,True)
auto2 = Automate([Transition(s02,'a',s02),Transition(s02,'b',s12),Transition(s12,'b',s12)])
# auto3 (exemple dans le sujet) reconnait les mots avec 3 a consécutifs
# ND/NC
s03 = State(0,True,False)
s13 = State(1,False,False)
s23 = State(2,False,False)
s33 = State(3,False,True)
print("DEBUT PROGRAMME\n")
# Automate A0
s_a0_0 = State(0, True, True)
s_a0_1 = State(1, False, False)
s_a0_2 = State(2, False, False)
s_a0_3 = State(3, False, False)
t_a0_1 = Transition(s_a0_0, "b", s_a0_0)
t_a0_2 = Transition(s_a0_0, "c", s_a0_0)
t_a0_3 = Transition(s_a0_0, "a", s_a0_1)
t_a0_4 = Transition(s_a0_1, "b", s_a0_2)
t_a0_5 = Transition(s_a0_2, "c", s_a0_3)
t_a0_6 = Transition(s_a0_3, "b", s_a0_0)
lt_a0 = [t_a0_1, t_a0_2, t_a0_3, t_a0_4, t_a0_5, t_a0_6]
aut0 = Automate(lt_a0)
# Automate A1
s_a1_0 = State(0, True, False)
s_a1_1 = State(1, False, False)
s_a1_2 = State(2, False, True)
t_a1_0 = Transition(s_a1_0, "a", s_a1_1)
t_a1_1 = Transition(s_a1_1, "a", s_a1_0)
t_a1_2 = Transition(s_a1_1, "b", s_a1_2)
t_a1_3 = Transition(s_a1_2, "b", s_a1_2)
lt_a1 = [t_a1_0, t_a1_1, t_a1_2, t_a1_3]
aut1 = Automate(lt_a1)
# Automate A2
s_a2_0 = State(0, True, False)
s_a2_1 = State(1, False, False)
s_a2_2 = State(2, False, True)
t_a2_0 = Transition(s_a2_0, "a", s_a2_1)
from automate import Automate
from state import State
from transition import Transition
from parser import *
#from essai import Essai
#import projet
print("DEBUT PROGRAMME\n")
s = State(1, False, False)
s2 = State(1, True, False)
t = Transition(s, "a", s)
t2 = Transition(s, "a", s2)
s.insertPrefix(2)
a = Automate([t, t2])
a.prefixStates(3)
a.show("justep")
"""
print "etat s " + s.id
print "s "+ str(s)
print "t "+ str(t)
print "a "+ str(a)
"""
print("s=s2? " + str(s == s2))
print("t=t2? " + str(t == t2))
s1 = State(1, True, False)
s2 = State(2, False, True)
t1 = Transition(s1, "a", s1)
from state import State
from transition import Transition
from parser import *
s0 = State(0, True, False)
s1 = State(1, False, False)
s2 = State(2, False, True)
t1 = Transition(s0, 'a', s0)
t2 = Transition(s0, 'b', s1)
t3 = Transition(s1, 'a', s2)
t4 = Transition(s1, 'b', s2)
t5 = Transition(s2, 'a', s0)
t6 = Transition(s2, 'b', s1)
auto1 = Automate([t1, t2, t3, t4, t5, t6], [s0, s1, s2])
# Exercice de base
# Test fonction succ
suc01_a = auto1.succ([s0, s1], 'a')
print("La liste des successeur de 0 et de 1 avec la lettre a sont :", suc01_a)
# Test fonction accepte
if Automate.accepte(auto1, "abba"):
print("L'automate accepte le mot abba")
else:
print("L'automate n'accepte pas le mot abba")
# création d'états
# s0 state
s0 = State(0, True, False)
# s1 state
s1 = State(1, False, True)
# s2 state
s2 = State(2, False, True)
#Création de transitions
t1 = Transition(s0, "a", s0)
t2 = Transition(s0, "b", s1)
t3 = Transition(s1, "a", s2)
t4 = Transition(s1, "b", s2)
t5 = Transition(s2, "a", s0)
t6 = Transition(s2, "b", s1)
# affichage de l'automate
auto = Automate([t1, t2, t3, t4, t5, t6])
print(auto)
auto.show("A_ListeTrans")
# Créations de l'automate à l'aide de ses transitions et états :
auto1 = Automate([t1, t2, t3, t4, t5, t6], [s0, s1, s2])
print(auto1)
auto1.show("A_ListeEtats")
# Création de l'aitomate à partir d'un fichier texte :
auto2 = Automate.creationAutomate("auto.txt")
print(auto2)
auto2.show("A_texte")
"""
# Premières manipulations
t = Transition(s0,"a",s0)
auto.removeTransition(t)
