def testCaseFormula(self):
objects = toPnf('p1')
derF = derivatives(objects, '{p1}')
solution = []
for x in derF:
solution.append(x.getName())
self.assertEqual(solution, ['tt'])
def testCaseTrue(self):
objects = toPnf('tt')
derTT = derivatives(objects, 'tt')
solution = []
for x in derTT:
solution.append(x.getName())
self.assertEqual(solution, ['tt'])
def testEx2(self):
objects = toPnf('F p1')
derCaseAnd = derivatives(objects, '{p1}')
solution = []
for x in derCaseAnd:
solution.append(x.getName())
self.assertEqual(len(solution), 2)
def testX1(self):
"""X R q p & a b"""
pd = derivatives(toPnf('X R q p & a b'), "{tt}")
self.assertEqual(len(pd), 1)
solu = set()
for x in pd:
solu.add(x.getName())
self.assertEqual(solu, {'R'})
def testOr2(self):
"""| U q p | a b"""
pd = derivatives(toPnf('| U q p | a b'), "{a, p, b}")
self.assertEqual(len(pd), 3)
solu = set()
for x in pd:
solu.add(x.getName())
self.assertEqual(solu, {'tt'})
def testRelease3(self):
pd = derivatives(toPnf('R | q1 p2 p3'), "{p3, q1}")
solu = set()
for x in pd:
solu.add(x.getName())
self.assertEqual({'R', 'tt'}, solu)
self.assertEqual(len(pd), 2)
def testPDMedium2(self):
pd = derivatives(toPnf('& p2 | p1 p3'), "{p2}")
solu = set()
for x in pd:
solu.add(x.getName())
solu.add(x.getFirst().getName())
solu.add(x.getSec().getName())
self.assertEqual(solu, set())
def testNotEx1(self):
objects = toPnf('G F p1')
derCaseAnd = derivatives(objects, '{x}')
solution = []
for x in derCaseAnd:
solution.append(x.getName())
self.assertEqual(len(solution), 1)
self.assertEqual(solution[0], '&')
def testPDMedium4(self):
pd = derivatives(toPnf('& p2 | p3 U p4 p2'), "{p3, p2}")
self.assertEqual(len(pd), 2)
solu = set()
for x in pd:
solu.add(x.getName())
solu.add(x.getFirst().getName())
solu.add(x.getSec().getName())
self.assertEqual(solu, {'&', 'tt'})
def testCaseOne(self):
objects = toPnf('& p1 p2')
derCaseAnd = derivatives(objects, '{p1, p2}')
solution = []
for x in derCaseAnd:
solution.append(x.getName())
solution.append(x.getFirst().getName())
solution.append(x.getSec().getName())
self.assertEqual(solution, ['&', 'tt', 'tt'])
def testPDMedium(self):
pd = derivatives(toPnf('p2'), "{p2}")
solu = set()
for x in pd:
solu.add(x.getName())
self.assertEqual({'tt'}, solu)
pd = derivatives(toPnf('& p2 p3'), "{p2, p3}")
solu = set()
for x in pd:
solu.add(x.getName())
solu.add(x.getFirst().getName())
solu.add(x.getSec().getName())
self.assertEqual({'&', 'tt'}, solu)
pd = derivatives(toPnf('& p2 | p1 p3'), "{p2, p1, p3}")
solu = set()
for x in pd:
solu.add(x.getName())
solu.add(x.getFirst().getName())
solu.add(x.getSec().getName())
self.assertEqual(solu, {'&', 'tt'})
def test10ex1():
"""
>>> from LTL.tests.testDef10ExDoc import test10ex1
>>> test10ex1()
True
True
"""
objects = toPnf('G F p1')
derCaseAnd = derivatives(objects, '{p1}')
solution = []
for x in derCaseAnd:
solution.append(x.getName())
helper = (len(solution) == 2)
helper2 = (solution[1] == '&')
if helper is True and helper2 is True:
return True
def setTable(state, setAtom):
"""
Function to compute table for graph.
states: all states of automaton.
return: Matrix with 1 and 0, where 1 means there exists a path from the
start state to the other states.
Futhermore, the first line has the order of the statuses. Thereby
first position is the status of the second list etc.
"""
dictionary = {} # End Matrix
for i in state:
trans = derivatives(i, setAtom) # calculate translation for state
trans = [stringName(i) for i in trans]
key = stringName(i)
dictionary[key] = trans
dictionary.pop('tt', None)
return dictionary
def testCaseAndEmpty(self):
objects = toPnf('& p1 p2')
derCaseAnd = derivatives(objects, 'x')
self.assertEqual(derCaseAnd, set())
def testCaseFormulaInvalid(self):
objects = toPnf('p1')
derFNot = derivatives(objects, 'n')
self.assertEqual(derFNot, set())
objects = toPnf('& p2 | p3 U p4 p2') # formulare) # objects to PNF for LF
# objectss = toPnf('& R p2 X p3 U p1 p3')
# objects = toPnf('R q1 p')#formulare) # objects to PNF for LF
# print(lin1)
# print(lin2)
"""for x in lin2:
for z in x:
if type(z) != frozenset:
print(z.getName())
else:
for y in z:
print(y.getName())"""
# linFac = lf(objects) # Formel to linear Factors
derivatives(objects, inp[1]) # inp[1] gives x to the function
# testMain()
states, transition, start, goals = automat(objects)
matrix = setTable(objects, states)
setGoal = goals
states, transition, start, goals = printAutomaton(objects, states,
transition, start,
setGoal)
nodes = matrix[0]
liste = calcEdges(matrix)
start = Automaton(objects).setStart()
toGraph(nodes, liste, goals, start)
print("test")
# toGraph()
# linFac = lf(objects) # Formel to linear Factors
