def test_minify_dfa(self):
"""Should minify a given DFA."""
# This DFA accepts all words which are at least two characters long.
# The states q1/q2 and q3/q4/q5/q6 are redundant.
# The state q7 is not reachable.
dfa = DFA(
states={'q0', 'q1', 'q2', 'q3', 'q4', 'q5', 'q6', 'q7'},
input_symbols={'0', '1'},
transitions={
'q0': {'0': 'q1', '1': 'q2'},
'q1': {'0': 'q3', '1': 'q4'},
'q2': {'0': 'q5', '1': 'q6'},
'q3': {'0': 'q3', '1': 'q3'},
'q4': {'0': 'q4', '1': 'q4'},
'q5': {'0': 'q5', '1': 'q5'},
'q6': {'0': 'q6', '1': 'q6'},
'q7': {'0': 'q7', '1': 'q7'},
},
initial_state='q0',
final_states={'q3', 'q4', 'q5', 'q6'}
)
minimal_dfa = dfa.minify()
nose.assert_equal(minimal_dfa.states, {
'q0', '{q1,q2}', '{q3,q4,q5,q6}'
})
nose.assert_equal(minimal_dfa.input_symbols, {'0', '1'})
nose.assert_equal(minimal_dfa.transitions, {
'q0': {'0': '{q1,q2}', '1': '{q1,q2}'},
'{q1,q2}': {'0': '{q3,q4,q5,q6}', '1': '{q3,q4,q5,q6}'},
'{q3,q4,q5,q6}': {'0': '{q3,q4,q5,q6}', '1': '{q3,q4,q5,q6}'}
})
nose.assert_equal(minimal_dfa.initial_state, 'q0')
nose.assert_equal(minimal_dfa.final_states, {'{q3,q4,q5,q6}'})
def validar(sets, tipo):
if tipo == False:
aux = list(sets[2].values())
for i in range(len(sets[0])):
if '' in aux[i].values() or not sets[4]:
return False
automata = DFA(states=sets[0],
input_symbols=sets[1],
transitions=sets[2],
initial_state=sets[3],
final_states=sets[4])
else:
if sets[4]:
automata = NFA(states=sets[0],
input_symbols=sets[1],
transitions=sets[2],
initial_state=sets[3],
final_states=sets[4])
else:
return False
if automata.validate():
del automata
return True
else:
del automata
return False
def test_minify_dfa_initial_state(self):
"""Should minify a DFA where the initial state is being changed."""
# This DFA accepts all words with ones and zeroes.
# The two states can be merged into one.
dfa = DFA(
states={'q0', 'q1'},
input_symbols={'0', '1'},
transitions={
'q0': {
'0': 'q1',
'1': 'q1'
},
'q1': {
'0': 'q0',
'1': 'q0'
},
},
initial_state='q0',
final_states={'q0', 'q1'},
)
minimal_dfa = dfa.minify()
nose.assert_equal(minimal_dfa.states, {'{q0,q1}'})
nose.assert_equal(minimal_dfa.input_symbols, {'0', '1'})
nose.assert_equal(minimal_dfa.transitions, {
'{q0,q1}': {
'0': '{q0,q1}',
'1': '{q0,q1}'
},
})
nose.assert_equal(minimal_dfa.initial_state, '{q0,q1}')
nose.assert_equal(minimal_dfa.final_states, {'{q0,q1}'})
def __attrs_post_init__(self):
"""Initialization by creating the default object"""
if self.dfa is None:
self.dfa = DFA(
states=self.state,
input_symbols=self.input_symbols,
transitions=self.transitions,
initial_state=self.initial_state,
final_states=self.final_states,
)
def evaluateDFA2():
print("Eval DFA2")
value = str(mainWidget.lineEdit_eval.text())
dfa = DFA(states=getStates(),
input_symbols=symbols,
transitions=getTransitions(),
initial_state=str(startNode.label.text()),
final_states=getFinalStates())
try:
print(str(list(dfa.validate_input(value, step=True))))
showMsg("DFA Successful, Last:" + str(dfa.validate_input(value)))
except:
showMsg("ERROR EVALUATING DFA")
return dfa
def test_are_not_isomorphic_useless_state(self):
dfa = DFA(states={'q0', 'q1', 'q2', 'q3'},
input_symbols={'0', '1'},
transitions={
'q0': {
'0': 'q0',
'1': 'q1'
},
'q1': {
'0': 'q0',
'1': 'q2'
},
'q2': {
'0': 'q2',
'1': 'q1'
},
'q3': {
'0': 'q2',
'1': 'q1'
}
},
initial_state='q0',
final_states={'q1'})
dfae = DFA(states={'q0', 'q1', 'q2', 'q3'},
input_symbols={'0', '1'},
transitions={
'q0': {
'0': 'q0',
'1': 'q2'
},
'q1': {
'0': 'q1',
'1': 'q2'
},
'q2': {
'0': 'q0',
'1': 'q1'
},
'q3': {
'0': 'q2',
'1': 'q1'
}
},
initial_state='q0',
final_states={'q2'})
self.assertFalse(pkm.are_isomorphic(dfa, dfae))
def creatDFA(states, symbols, initialState, finalStates, transition):
return DFA(states=states,
input_symbols=symbols,
transitions=transition,
initial_state=initialState,
final_states=finalStates)
def complemento(automata, tipo):
#intercambiar estados finales por estados
if tipo == False:
fin = []
final = automata.final_states
estados = automata.states
for i in estados:
for l in final:
if i != l:
fin.append(i)
finales = set(fin)
automata = DFA(states=automata.states,
input_symbols=automata.input_symbols,
transitions=automata.transitions,
initial_state=automata.initial_state,
final_states=finales)
return automata, tipo
else:
ADF = NFA.from_dfa(automata)
complemento(ADF, False)
def AFNDtoAFD(automata, tipo):
if tipo:
dfa = DFA.from_nfa(automata)
minimal_dfa = dfa.minify()
return minimal_dfa, False
else:
return automata, tipo
def parse_json(json_string, is_deterministic):
fsm = json.loads(json_string)
try:
states, final_states, node_map = get_states(fsm)
input_symbols = get_alphabet(fsm, is_deterministic)
if is_deterministic:
initial_state, transitions = \
get_DFA_transitions(fsm, states, node_map, input_symbols)
else:
initial_state, transitions = \
get_NFA_transitions(fsm, states, node_map, input_symbols)
except Exception as e:
return True, str(e)
if is_deterministic:
fsm = DFA(states=states,
input_symbols=input_symbols,
transitions=transitions,
initial_state=initial_state,
final_states=final_states)
else:
fsm = NFA(states=states,
input_symbols=input_symbols,
transitions=transitions,
initial_state=initial_state,
final_states=final_states)
return False, fsm
def test_init_dfa_missing_formal_params(self):
"""Should raise an error if formal DFA parameters are missing."""
with nose.assert_raises(TypeError):
DFA(states={'q0', 'q1'},
input_symbols={'0', '1'},
initial_state='q0',
final_states={'q1'})
def create_test_dfa():
"""
Create a Deterministic Finite Automaton for testing purpose.
Returns: a DFA that can be used for tests
"""
dfa = DFA(states={'q0', 'q1', 'q2'},
input_symbols={'0', '1'},
transitions={
'q0': {
'0': 'q0',
'1': 'q1'
},
'q1': {
'0': 'q0',
'1': 'q2'
},
'q2': {
'0': 'q2',
'1': 'q1'
}
},
initial_state='q0',
final_states={'q1'})
return dfa
def make_DFA_for_M() -> "DFA":
return DFA(states={"0", "1", "2", "3"},
input_symbols=set(DIRS),
transitions={
"0": {
"U": "1",
"D": "1",
"L": "2",
"R": "2"
},
"1": {
"U": "3",
"D": "3",
"L": "2",
"R": "2"
},
"2": {
"U": "1",
"D": "1",
"L": "3",
"R": "3"
},
"3": {
"U": "3",
"D": "3",
"L": "3",
"R": "3"
}
},
initial_state="0",
final_states={"0", "1", "2"})
def test_init_nfa_more_complex(self):
"""Should convert to a DFA a more complex NFA."""
nfa = NFA(
states={'q0', 'q1', 'q2'},
input_symbols={'0', '1'},
transitions={
'q0': {'0': {'q0', 'q1'}, '1': {'q0'}},
'q1': {'0': {'q1'}, '1': {'q2'}},
'q2': {'0': {'q2'}, '1': {'q1'}}
},
initial_state='q0',
final_states={'q2'}
)
dfa = DFA.from_nfa(nfa)
nose.assert_equal(dfa.states, {
'{q0}', '{q0,q1}', '{q0,q2}', '{q0,q1,q2}'
})
nose.assert_equal(dfa.input_symbols, {'0', '1'})
nose.assert_equal(dfa.transitions, {
'{q0}': {'1': '{q0}', '0': '{q0,q1}'},
'{q0,q1}': {'1': '{q0,q2}', '0': '{q0,q1}'},
'{q0,q2}': {'1': '{q0,q1}', '0': '{q0,q1,q2}'},
'{q0,q1,q2}': {'1': '{q0,q1,q2}', '0': '{q0,q1,q2}'}
})
nose.assert_equal(dfa.initial_state, '{q0}')
nose.assert_equal(dfa.final_states, {'{q0,q1,q2}', '{q0,q2}'})
def main():
nfa = NFA( # this code builds the weakly divisible by 7 NFA
states={'start_state', 'q0', 'q1', 'q2', 'q3', 'q4', 'q5', 'q6', 'q0prime', 'q1prime', 'q2prime', 'q3prime',
'q4prime', 'q5prime', 'q6prime', 'fail_state'},
input_symbols={'0', '1', '2', '3', '4', '5', '6', '7', '8', '9'},
transitions={
'start_state': {'0': {'fail_state'}, '1': {'q1', 'q0prime'}, '2': {'q2', 'q0prime'}, '3': {'q3', 'q0prime'},
'4': {'q4', 'q0prime'}, '5': {'q5', 'q0prime'}, '6': {'q6', 'q0prime'},
'7': {'q0', 'q0prime'},
'8': {'q1', 'q0prime'}, '9': {'q2', 'q0prime'}},
'fail_state': {'0': {'fail_state'}, '1': {'fail_state'}, '2': {'fail_state'}, '3': {'fail_state'},
'4': {'fail_state'}, '5': {'fail_state'}, '6': {'fail_state'}, '7': {'fail_state'},
'8': {'fail_state'}, '9': {'fail_state'}},
'q0': {'0': {'q0', 'q0prime'}, '1': {'q1', 'q0prime'}, '2': {'q2', 'q0prime'}, '3': {'q3', 'q0prime'},
'4': {'q4', 'q0prime'}, '5': {'q5', 'q0prime'}, '6': {'q6', 'q0prime'}, '7': {'q0', 'q0prime'},
'8': {'q1', 'q0prime'}, '9': {'q2', 'q0prime'}},
'q1': {'0': {'q3', 'q1prime'}, '1': {'q4', 'q1prime'}, '2': {'q5', 'q1prime'}, '3': {'q6', 'q1prime'},
'4': {'q0', 'q1prime'}, '5': {'q1', 'q1prime'}, '6': {'q2', 'q1prime'}, '7': {'q3', 'q1prime'},
'8': {'q4', 'q1prime'}, '9': {'q5', 'q1prime'}, '': {'q1', 'q1prime'}},
'q2': {'0': {'q6', 'q2prime'}, '1': {'q0', 'q2prime'}, '2': {'q1', 'q2prime'}, '3': {'q2', 'q2prime'},
'4': {'q3', 'q2prime'}, '5': {'q4', 'q2prime'}, '6': {'q5', 'q2prime'}, '7': {'q6', 'q2prime'},
'8': {'q0', 'q2prime'}, '9': {'q1', 'q2prime'}, '': {'q2', 'q2prime'}},
'q3': {'0': {'q2', 'q3prime'}, '1': {'q3', 'q3prime'}, '2': {'q4', 'q3prime'}, '3': {'q5', 'q3prime'},
'4': {'q6', 'q3prime'}, '5': {'q0', 'q3prime'}, '6': {'q1', 'q3prime'}, '7': {'q2', 'q3prime'},
'8': {'q3', 'q3prime'}, '9': {'q4', 'q3prime'}, '': {'q3'}},
'q4': {'0': {'q5', 'q4prime'}, '1': {'q6', 'q4prime'}, '2': {'q0', 'q4prime'}, '3': {'q1', 'q4prime'},
'4': {'q2', 'q4prime'}, '5': {'q3', 'q4prime'}, '6': {'q4', 'q4prime'}, '7': {'q5', 'q4prime'},
'8': {'q6', 'q4prime'}, '9': {'q0', 'q4prime'}, '': {'q4'}},
'q5': {'0': {'q1', 'q5prime'}, '1': {'q2', 'q5prime'}, '2': {'q3', 'q5prime'}, '3': {'q4', 'q5prime'},
'4': {'q5', 'q5prime'}, '5': {'q6', 'q5prime'}, '6': {'q0', 'q5prime'}, '7': {'q1', 'q5prime'},
'8': {'q2', 'q5prime'}, '9': {'q3', 'q5prime'}, '': {'q5'}},
'q6': {'0': {'q4', 'q6prime'}, '1': {'q5', 'q6prime'}, '2': {'q6', 'q6prime'}, '3': {'q0', 'q6prime'},
'4': {'q1', 'q6prime'}, '5': {'q2', 'q6prime'}, '6': {'q3', 'q6prime'}, '7': {'q4', 'q6prime'},
'8': {'q5', 'q6prime'}, '9': {'q6', 'q6prime'}, '': {'q6'}},
'q0prime': {'0': {'q0prime'}, '1': {'q1prime'}, '2': {'q2prime'}, '3': {'q3prime'}, '4': {'q4prime'},
'5': {'q5prime'}, '6': {'q6prime'}, '7': {'q0prime'}, '8': {'q1prime'}, '9': {'q2prime'}},
'q1prime': {'0': {'q3prime'}, '1': {'q4prime'}, '2': {'q5prime'}, '3': {'q6prime'}, '4': {'q0prime'},
'5': {'q1prime'}, '6': {'q2prime'}, '7': {'q3prime'}, '8': {'q4prime'}, '9': {'q5prime'}},
'q2prime': {'0': {'q6prime'}, '1': {'q0prime'}, '2': {'q1prime'}, '3': {'q2prime'}, '4': {'q3prime'},
'5': {'q4prime'}, '6': {'q5prime'}, '7': {'q6prime'}, '8': {'q0prime'}, '9': {'q1prime'}},
'q3prime': {'0': {'q2prime'}, '1': {'q3prime'}, '2': {'q4prime'}, '3': {'q5prime'}, '4': {'q6prime'},
'5': {'q0prime'}, '6': {'q1prime'}, '7': {'q2prime'}, '8': {'q3prime'}, '9': {'q4prime'}},
'q4prime': {'0': {'q5prime'}, '1': {'q6prime'}, '2': {'q0prime'}, '3': {'q1prime'}, '4': {'q2prime'},
'5': {'q3prime'}, '6': {'q4prime'}, '7': {'q5prime'}, '8': {'q6prime'}, '9': {'q0prime'}},
'q5prime': {'0': {'q1prime'}, '1': {'q2prime'}, '2': {'q3prime'}, '3': {'q4prime'}, '4': {'q5prime'},
'5': {'q6prime'}, '6': {'q0prime'}, '7': {'q1prime'}, '8': {'q2prime'}, '9': {'q3prime'}},
'q6prime': {'0': {'q4prime'}, '1': {'q5prime'}, '2': {'q6prime'}, '3': {'q0prime'}, '4': {'q1prime'},
'5': {'q2prime'}, '6': {'q3prime'}, '7': {'q4prime'}, '8': {'q5prime'}, '9': {'q6prime'}}
},
initial_state='start_state',
final_states={'q0', 'q0prime'}
)
str_length = int(input("Enter an integer for string length: "))
dfa = DFA.from_nfa(nfa) # creates a DFA from the above built NFA
num_strings = count(str_length, dfa)
print("The number of strings of length", str_length,
"accepted by the DFA is", num_strings)
def convertNFAtoDFA():
nfa = evaluateNFA()
dfa = DFA(nfa) # returns an equivalent DFA
states = dfa.states
transitions = dfa.transitions
initial = dfa.initial_state
finals = dfa.final_states
print("states ", states, " transitions ", transitions, " initial ",
initial, " final ", finals)
global startNode
global evalValue
startNode = None
evalValue = None
currNode = None
nextNode = None
for node in nodeList:
node.delNode()
conList.clear()
nodeList.clear()
for state in states:
isFinal = False
isInitial = False
img = "normal.png"
if initial == state:
isInitial = True
img = "start.png"
else:
for f in finals:
if f == state:
isFinal = True
img = "final.png"
new_node = Node(mainWidget.canvas, isInitial, isFinal, img, state)
nodeList.append(new_node)
if (isInitial):
startNode = new_node
print("startNode ", new_node.label.text())
#Py2
#for key, value in d.iteritems():
#Py3
for key, value in transitions.items():
n0 = searchNode(key)
print("key ", key, " value ", str(value))
for key2, value2 in value.items():
print("key2 ", key2, " value2 ", value2)
isSameNode = False
if (key == value2):
isSameNode = True
nX = searchNode(value2)
# print(str(nX))
new_connection = Connection(n0, nX, isSameNode)
new_connection.name = key2
conList.append(new_connection)
def test_minify_minimal_dfa(self):
"""Should minify an already minimal DFA."""
# This DFA just accepts words ending in 1.
dfa = DFA(
states={'q0', 'q1'},
input_symbols={'0', '1'},
transitions={
'q0': {'0': 'q0', '1': 'q1'},
'q1': {'0': 'q0', '1': 'q1'}
},
initial_state='q0',
final_states={'q1'}
)
minimal_dfa = dfa.minify()
nose.assert_equal(minimal_dfa.states, dfa.states)
nose.assert_equal(minimal_dfa.input_symbols, dfa.input_symbols)
nose.assert_equal(minimal_dfa.transitions, dfa.transitions)
nose.assert_equal(minimal_dfa.initial_state, dfa.initial_state)
nose.assert_equal(minimal_dfa.final_states, dfa.final_states)
class FiniteState(object):
"""Using the Automata library for Finate State"""
state = attr.ib(default={"S0", "S1", "S2"})
input_symbols = attr.ib(default={"0", "1"})
transitions = attr.ib(
default={
"S0": {
"0": "S0",
"1": "S1"
},
"S1": {
"0": "S2",
"1": "S0"
},
"S2": {
"0": "S1",
"1": "S2"
},
})
initial_state = attr.ib(default="S0")
final_states = attr.ib(default={"S0", "S1", "S2"})
dfa = attr.ib(default=None)
def __attrs_post_init__(self):
"""Initialization by creating the default object"""
if self.dfa is None:
self.dfa = DFA(
states=self.state,
input_symbols=self.input_symbols,
transitions=self.transitions,
initial_state=self.initial_state,
final_states=self.final_states,
)
def get_final_value(self, input_string):
"""Returns the final value, rasies RejectionException if a problem is found"""
value = self.dfa.read_input(input_string)[1:]
return value
def get_final_state(self, input_string):
"""Returns the final state, rasies RejectionException if a problem is found"""
value = self.dfa.read_input(input_string)[:1]
return value
def test_minify_dfa_no_final_states(self):
dfa = DFA(
states={'q0', 'q1'},
input_symbols={'0', '1'},
transitions={
'q0': {'0': 'q1', '1': 'q1'},
'q1': {'0': 'q0', '1': 'q0'},
},
initial_state='q0',
final_states=set(),
)
minimal_dfa = dfa.minify()
nose.assert_equal(minimal_dfa.states, {'{q0,q1}'})
nose.assert_equal(minimal_dfa.input_symbols, {'0', '1'})
nose.assert_equal(minimal_dfa.transitions, {
'{q0,q1}': {'0': '{q0,q1}', '1': '{q0,q1}'},
})
nose.assert_equal(minimal_dfa.initial_state, '{q0,q1}')
nose.assert_equal(minimal_dfa.final_states, set())
def get_complementary(automaton):
temp_complementary = convert_to_dfa(automaton)
temp_final_state = list(
set(complementary.states) - set(complementary.final_states) -
set(complementary.initial_states))
complementary = DFA(states=temp_complementary.states,
input_symbols=temp_complementary.input_symbols,
transitions=temp_complementary.transitions,
initial_state=temp_complementary.initial_state,
final_states=temp_final_state)
return complementary
def converter_nfa_dfa(estados, alfabeto, funcao_transicao, est_inicial,
est_finais):
nfa = NFA(states=set(estados),
input_symbols=set(alfabeto),
transitions=funcao_transicao,
initial_state=est_inicial,
final_states=set(est_finais))
dfa = DFA(nfa)
return dfa
def test_init_nfa_lambda_transition(self):
"""Should convert to a DFA an NFA with a lambda transition."""
dfa = DFA.from_nfa(self.nfa)
nose.assert_equal(dfa.states, {'{}', '{q0}', '{q1,q2}'})
nose.assert_equal(dfa.input_symbols, {'a', 'b'})
nose.assert_equal(dfa.transitions, {
'{}': {'a': '{}', 'b': '{}'},
'{q0}': {'a': '{q1,q2}', 'b': '{}'},
'{q1,q2}': {'a': '{q1,q2}', 'b': '{q0}'},
})
nose.assert_equal(dfa.initial_state, '{q0}')
nose.assert_equal(dfa.final_states, {'{q1,q2}'})
def __init__(
self,
dfa: DFA = None,
*,
states: set = None,
input_symbols: set = None,
transitions: dict = None,
initial_state: str = None,
final_states: set = None
):
if dfa:
self.dfa = dfa
else:
self.dfa = DFA(
states=states,
input_symbols=input_symbols,
transitions=transitions,
initial_state=initial_state,
final_states=final_states,
)
def test_are_isomorphic(self):
dfa = DFA(states={'q0', 'q1', 'q2'},
input_symbols={'0', '1'},
transitions={
'q0': {
'0': 'q0',
'1': 'q1'
},
'q1': {
'0': 'q0',
'1': 'q2'
},
'q2': {
'0': 'q2',
'1': 'q1'
}
},
initial_state='q0',
final_states={'q1'})
dfac = DFA(states={'q0', 'q1', 'q2'},
input_symbols={'0', '1'},
transitions={
'q0': {
'0': 'q0',
'1': 'q2'
},
'q1': {
'0': 'q1',
'1': 'q2'
},
'q2': {
'0': 'q0',
'1': 'q1'
}
},
initial_state='q0',
final_states={'q2'})
self.assertTrue(pkm.are_isomorphic(dfa, dfac))
def crear(sets, tipo):
if tipo == False:
automata = DFA(states=sets[0],
input_symbols=sets[1],
transitions=sets[2],
initial_state=sets[3],
final_states=sets[4])
else:
automata = NFA(states=sets[0],
input_symbols=sets[1],
transitions=sets[2],
initial_state=sets[3],
final_states=sets[4])
return automata
def test_nfa_to_dfa_with_lambda_transitions(self):
""" Test NFA->DFA when initial state has lambda transitions """
nfa = NFA(
states={'q0', 'q1', 'q2'},
input_symbols={'a', 'b'},
transitions={
'q0': {'': {'q2'}},
'q1': {'a': {'q1'}},
'q2': {'a': {'q1'}}
},
initial_state='q0',
final_states={'q1'}
)
dfa = DFA.from_nfa(nfa) # returns an equivalent DFA
nose.assert_equal(dfa.read_input('a'), '{q1}')
def img():
dfa = DFA(
states={'q0', 'q1', 'q2'},
input_symbols={'0', '1'},
transitions={
'q0': {'0': 'q0', '1': 'q1'},
'q1': {'0': 'q0', '1': 'q2'},
'q2': {'0': 'q2', '1': 'q1'}
},
initial_state='q0',
final_states={'q1'}
)
automata = draw(dfa, False)
automata = base64.b64encode(automata).decode('utf-8')
return render_template('image.html', automata=automata)
def generate(entry, label):
dfa = DFA(
states={'q0', 'q1', 'q2', 'q3', 'q4', 'q5', 'q6', 'q7', ''},
input_symbols={'1', '2', '3', '4', '5', '6', '7', '8', '9', ' '},
transitions={
'q0': {'1': 'q1', '2': 'q2', '3': '', '4': '', '5': '', '6': '', '7': '', '8': '', '9': '', ' ': ''},
'q1': {'1': '', '2': 'q3', '3': '', '4': '', '5': '', '6': '', '7': '', '8': '', '9': '', ' ': ''},
'q2': {'1': 'q1', '2': 'q0', '3': '', '4': '', '5': '', '6': '', '7': '', '8': '', '9': '', ' ': ''},
'q3': {'1': '', '2': 'q0', '3': 'q4', '4': '', '5': '', '6': '', '7': '', '8': '', '9': '', ' ': ''},
'q4': {'1': '', '2': '', '3': '', '4': 'q5', '5': 'q4', '6': 'q3', '7': 'q6', '8': '', '9': '', ' ': ''},
'q5': {'1': '', '2': '', '3': '', '4': '', '5': 'q5', '6': '', '7': '', '8': 'q5', '9': 'q7', ' ': 'q4'},
'q6': {'1': 'q4', '2': '', '3': '', '4': '', '5': 'q6', '6': '', '7': '', '8': 'q6', '9': '', ' ': ''},
'q7': {'1': 'q4', '2': '', '3': '', '4': '', '5': 'q7', '6': '', '7': '', '8': 'q5', '9': '', ' ': ''},
'': {'1': '', '2': '', '3': '', '4': '', '5': '', '6': '', '7': '', '8': '', '9': '', ' ': ''}
},
initial_state='q0',
final_states={'q0'}
)
label['text'] = response(dfa, entry)
def DFA_name_reset(L, minimize=True):
if minimize:
L = L.minify(False)
else:
m = dict()
for x in L.states:
m[x] = str(len(m))
#print("DFA name reset:")
#print("Before:\n{}\n{}\n{}".format(L.states, L.transitions, L.final_states))
#print("After:\n{}".format({m[x] for x in L.states}))# {m[x]:{k:m[v] for k,v in L.transitions[x].items()} for x in L.transitions}, {m[x] for x in L.final_states}))
L = DFA(states={m[x]
for x in L.states},
input_symbols=L.input_symbols,
transitions={
m[x]: {k: m[v]
for k, v in L.transitions[x].items()}
for x in L.transitions
},
initial_state=m[L.initial_state],
final_states={m[x]
for x in L.final_states})
return L
def setUp(self):
"""Reset test automata before every test function."""
# DFA which matches all binary strings ending in an odd number of '1's
self.dfa = DFA(states={'q0', 'q1', 'q2'},
input_symbols={'0', '1'},
transitions={
'q0': {
'0': 'q0',
'1': 'q1'
},
'q1': {
'0': 'q0',
'1': 'q2'
},
'q2': {
'0': 'q2',
'1': 'q1'
}
},
initial_state='q0',
final_states={'q1'})
# NFA which matches strings beginning with 'a', ending with 'a', and
# containing no consecutive 'b's
self.nfa = NFA(states={'q0', 'q1', 'q2'},
input_symbols={'a', 'b'},
transitions={
'q0': {
'a': {'q1'}
},
'q1': {
'a': {'q1'},
'': {'q2'}
},
'q2': {
'b': {'q0'}
}
},
initial_state='q0',
final_states={'q1'})
