def test_nfa_union_djsoint(self):
""" Tests a nfa union between NFAs with no state in
common """
union = NFA.nfa_union(self.nfa_union_1_test_01,
self.nfa_union_2_test_01)
# automata_IO.nfa_to_dot(union, 'nfa_union')
self.assertDictEqual(union, self.nfa_union_test_01_solution)
def test_nfa_union_intersecting(self):
""" Tests a nfa union between NFAs with some state in
common """
union = NFA.nfa_union(self.nfa_union_2_test_01,
self.nfa_union_3_test_01)
# automata_IO.nfa_to_dot(union, 'nfa_union_intersecting')
self.assertDictEqual(union, self.nfa_union_test_02_solution)
def read_determinize_minimized_write(path, model):
nfa = automata_IO.nfa_dot_importer(path + model)
dfa = NFA.nfa_determinization(nfa)
automata_IO.dfa_to_dot(dfa, model + '_det', path)
new_dfa = DFA.dfa_minimization(dfa)
automata_IO.dfa_to_dot(new_dfa, model + "_det_min", path)
def is_empty(self):
if self.special_attr == 'true':
return False
elif self.special_attr == 'false':
return True
else:
return not NFA.nfa_nonemptiness_check(self.aut)
def test_nfa_complementation(self):
""" Tests a correct nfa complementation """
dfa_complemented = NFA.nfa_complementation(
self.nfa_complementation_test_01)
self.assertEqual(len(dfa_complemented['alphabet']), 2)
self.assertEqual(len(dfa_complemented['states']), 10 + 1)
self.assertEqual(len(dfa_complemented['accepting_states']), 4 + 1)
self.assertEqual(len(dfa_complemented['transitions']), 22)
def disjunction(self, other):
if self.special_attr == 'true' or other.special_attr == 'true':
return self
elif self.special_attr == 'false' or other.special_attr == 'false':
return other
else:
aut_l, aut_r, new_var_map = self.augment_vars(other)
return FiniteAutomaton(NFA.nfa_union(aut_l, aut_r), new_var_map)
def test_nfa_determinization_bis(self):
""" Tests an other correct nfa determinization """
dfa_determined = NFA.nfa_determinization(
self.nfa_determinization_test_02)
# automata_IO.dfa_to_dot(dfa_determined, 'nfa_determined_2')
self.assertEqual(len(dfa_determined['alphabet']), 3)
self.assertEqual(len(dfa_determined['states']), 14)
self.assertEqual(len(dfa_determined['accepting_states']), 11)
self.assertEqual(len(dfa_determined['transitions']), 39)
def test_nfa_determinization(self):
""" Tests a correct nfa determinization """
dfa_determined = NFA.nfa_determinization(
self.nfa_determinization_test_01)
# automata_IO.dfa_to_dot(dfa_determined, 'nfa_determined')
self.assertEqual(len(dfa_determined['alphabet']), 2)
self.assertEqual(len(dfa_determined['states']), 10)
self.assertEqual(len(dfa_determined['accepting_states']), 6)
self.assertEqual(len(dfa_determined['transitions']), 19)
def afw_nonemptiness_check(afw: dict) -> bool:
""" Checks if the input AFW reads any language other than the
empty one, returning True/False.
The afw is translated into a nfa and then its nonemptiness is
checked.
:param dict afw: input AFW.
:return: *(bool)*, True if input afw is nonempty, False otherwise.
"""
nfa = afw_to_nfa_conversion(afw)
return NFA.nfa_nonemptiness_check(nfa)
def afw_nonuniversality_check(afw: dict) -> bool:
""" Checks if the language read by the input AFW is different
from Σ∗, returning True/False.
The afw is translated into a nfa and then its nonuniversality
is checked.
:param dict afw: input AFW.
:return: *(bool)*, True if input afw is nonuniversal, False
otherwise.
"""
nfa = afw_to_nfa_conversion(afw)
return NFA.nfa_nonuniversality_check(nfa)
def test_nfa_complementation_empty_states(self):
""" Tests a NFA complementation with an empty NFA """
dfa_complemented = NFA.nfa_complementation(
self.nfa_complementation_test_empty)
# automata_IO.dfa_to_dot(dfa_complemented,
# 'nfa_complemented_empty_States')
self.assertDictEqual(
dfa_complemented, {
'alphabet': set(),
'states': {'sink'},
'initial_state': None,
'accepting_states': {'sink'},
'transitions': {}
})
def test_nfa_determinization_empty_transitions(self):
""" Tests a NFA determinization with a NFA without
transitions """
self.nfa_determinization_test_01['transitions'] = {}
dfa_determined = NFA.nfa_determinization(
self.nfa_determinization_test_01)
# automata_IO.dfa_to_dot(dfa_determined,
# 'nfa_determined_empty_transition')
self.assertDictEqual(
dfa_determined, {
'alphabet':
self.nfa_determinization_test_01['alphabet'],
'states':
{str(self.nfa_determinization_test_01['initial_states'])},
'initial_state':
str(self.nfa_determinization_test_01['initial_states']),
'accepting_states':
set(),
'transitions': {}
})
def complement(self):
if self.special_attr == 'true':
return FiniteAutomaton.false_aut()
elif self.special_attr == 'false':
return FiniteAutomaton.true_aut()
else:
# print('PERFORMING COMPLEMENT')
# print(self.relabel_states().to_str())
new_aut = NFA.nfa_complementation(self.aut)
# Convert to an NFA
new_aut['initial_states'] = {new_aut.pop('initial_state')}
new_aut['transitions'] = {
k: [v]
for k, v in new_aut.pop('transitions').items()
}
res = FiniteAutomaton(new_aut, self.var_map)
# print(res.relabel_states().to_str())
return res
def test_afw_to_nfa_conversion_language_bis_bis(self):
""" Test a correct afw conversion to nfa comparing the language read
by the two automaton """
nfa_01 = AFW.afw_to_nfa_conversion(self.afw_nonemptiness_check_test_2)
# automata_IO.nfa_to_dot(nfa_01, 'afw_to_nfa_strange')
i = 0
last = 7
while i <= last:
base = list(itertools.repeat('a', i))
base += list(itertools.repeat('b', i))
# build all permutation of 'a' and 'b' till length i
word_set = set(itertools.permutations(base, i))
for word in word_set:
word = list(word)
# print(word)
afw_acceptance = AFW.afw_word_acceptance(
self.afw_nonemptiness_check_test_2, word)
nfa_acceptance = NFA.nfa_word_acceptance(nfa_01, word)
self.assertEqual(afw_acceptance, nfa_acceptance)
i += 1
def with_var_map(self, new_var_map):
alphabets = list(range(len(new_var_map)))
for v, (idx, alphabet) in new_var_map.items():
alphabets[idx] = alphabet
if len(alphabets) == 0:
new_alphabet = set()
else:
new_alphabet = set(' '.join(syms)
for syms in it.product(*alphabets))
new_transitions = {}
for (src, sym), dsts in self.aut['transitions'].items():
new_syms = list(range(len(new_var_map)))
# Copy over the old symbols
syms = sym.split(' ')
for v, (idx, alphabet) in self.var_map.items():
# If a symbol isn't in the new map, just drop it
if v in new_var_map:
new_syms[new_var_map[v][0]] = [syms[idx]]
for v, (idx, alphabet) in new_var_map.items():
if not v in self.var_map:
new_syms[idx] = alphabet
for new_sym in it.product(*new_syms):
new_transitions[(src, ' '.join(new_sym))] = dsts
# Rename all states because PySimpleAutomata can't union automata with the same state names...
# TODO: Probably very inefficient.
return NFA.rename_nfa_states(
{
'alphabet': new_alphabet,
'states': self.aut['states'],
'initial_states': self.aut['initial_states'],
'accepting_states': self.aut['accepting_states'],
'transitions': new_transitions
}, FiniteAutomaton.fresh_ap())
def test_nfa_interestingness_check_wrong_input(self):
""" Tests the nonemptines of an input different from a
dict object. [EXPECTED FAILURE] """
self.assertFalse(NFA.nfa_interestingness_check(0))
def test_nfa_intersection_wrong_dict_2(self):
""" Tests a dict() in input different from a well
formatted dict() representing a NFA. [EXPECTED FAILURE]"""
NFA.nfa_intersection(self.nfa_intersection_1_test_01,
{'goofy': 'donald'})
def test_nfa_intersection_wrong_input_2(self):
""" Tests an input different from a dict() object. [
EXPECTED FAILURE] """
NFA.nfa_intersection(self.nfa_intersection_1_test_01, 0)
def test_nfa_intersection_empty(self):
""" Tests a NFAs intersection where one of them is empty """
intersection = NFA.nfa_intersection(
self.nfa_intersection_1_test_01,
self.nfa_intersection_test_02_empty)
self.assertDictEqual(intersection, self.nfa_intersection_test_02_empty)
def test_rename_nfa_states(self):
""" Tests a correct NFA states renaming """
automata_IO.nfa_to_dot(NFA.rename_nfa_states(self.nfa_1, 'TOP_'),
'nfa_renamed_1', 'tests/outputs')
def test_word_acceptance_wrong_dict(self):
""" Tests a dict() in input different from a well formatted dict()
representing a NFA. [EXPECTED FAILURE]"""
NFA.nfa_word_acceptance({'goofy': 'donald'}, ['a', 'b', 'b', 'a', 'b'])
def test_word_acceptance_wrong_input_2(self):
""" Tests an input different from a list() object. [EXPECTED
FAILURE]"""
NFA.nfa_word_acceptance(self.nfa_word_acceptance_test_01, 1)
def test_word_acceptance_wrong_input_1(self):
""" Tests an input different from a dict() object. [EXPECTED
FAILURE]"""
NFA.nfa_word_acceptance(1, ['a', 'b', 'b', 'a', 'b'])
def test_word_acceptance_empty_word(self):
""" Tests an empty word"""
self.assertFalse(
NFA.nfa_word_acceptance(self.nfa_word_acceptance_test_empty, []))
def test_word_acceptance_wrong_alphabet(self):
""" Tests a non correct word, with letters not form the
nfa alphabet """
self.assertFalse(
NFA.nfa_word_acceptance(self.nfa_word_acceptance_test_01,
['a', 'b', 'wrong']))
def test_word_acceptance_false(self):
""" Tests a non correct word, with good alphabet"""
self.assertFalse(
NFA.nfa_word_acceptance(self.nfa_word_acceptance_test_01,
['a', 'a', 'a']))
def test_word_acceptance(self):
""" Tests a correct word """
self.assertTrue(
NFA.nfa_word_acceptance(self.nfa_word_acceptance_test_01,
['a', 'b', 'b', 'a', 'b']))
def test_nfa_intersection(self):
""" Tests a correct NFAs intersection """
intersection = NFA.nfa_intersection(self.nfa_intersection_1_test_01,
self.nfa_intersection_2_test_01)
self.assertDictEqual(intersection,
self.nfa_intersection_test_01_solution)
def test_nfa_interestingness_check_side_effects(self):
""" Tests that the function doesn't make any side effect
on the input"""
before = copy.deepcopy(self.nfa_interestingness_test_01)
NFA.nfa_interestingness_check(self.nfa_interestingness_test_01)
self.assertDictEqual(before, self.nfa_interestingness_test_01)
def test_nfa_interestingness_check_wrong_dict(self):
""" Tests the interestingness of an input dict different
from a dict representing a nfa. [EXPECTED FAILURE] """
self.assertFalse(NFA.nfa_interestingness_check({}))