def _check(expression):
"""method performing check"""
if background_knowledge:
e = AndExpression(expression.fol(), background_knowledge)
if verbose:
print "performing check on: %s" % e
t = Theorem(NegatedExpression(e), e)
else:
if verbose:
print "performing check on: %s" % expression.fol()
t = Theorem(NegatedExpression(expression), expression)
result, output = t.check()
if verbose:
if output:
print "\nMace4 returns:\n%s\n" % output
else:
print "\nProver9 returns: %s\n" % (not result)
return result
def theorem_proving(prove_fun, premises, conclusion, predicates, lst):
res = prove_fun(premises, conclusion, predicates, lst)
if res:
prediction = 'yes'
else:
negated_conclusion = NegatedExpression(conclusion)
res = prove_fun(premises, negated_conclusion, predicates, lst)
if res:
prediction = 'no'
else:
prediction = 'unknown'
return prediction
def theorem_proving(prove_fun, premises, conclusion, predicates, lst, axioms,
mode, data):
res = prove_fun(premises, conclusion, predicates, lst, axioms, mode)
if res:
prediction = 'yes'
else:
if data not in datasets:
negated_conclusion = NegatedExpression(conclusion)
res = prove_fun(premises, negated_conclusion, predicates, lst,
axioms, mode)
if res:
prediction = 'no'
else:
prediction = 'unknown'
else:
prediction = 'unknown'
return prediction
def assumptions(self):
assumptions = self._command.assumptions()
predicates = self._make_predicate_dict(assumptions)
new_assumptions = []
for p in predicates:
predHolder = predicates[p]
new_sig = self._make_unique_signature(predHolder)
new_sig_exs = [VariableExpression(v) for v in new_sig]
disjuncts = []
# Turn the signatures into disjuncts
for sig in predHolder.signatures:
equality_exs = []
for v1, v2 in zip(new_sig_exs, sig):
equality_exs.append(EqualityExpression(v1, v2))
disjuncts.append(reduce(lambda x, y: x & y, equality_exs))
# Turn the properties into disjuncts
for prop in predHolder.properties:
# replace variables from the signature with new sig variables
bindings = {}
for v1, v2 in zip(new_sig_exs, prop[0]):
bindings[v2] = v1
disjuncts.append(prop[1].substitute_bindings(bindings))
# make the assumption
if disjuncts:
# disjuncts exist, so make an implication
antecedent = self._make_antecedent(p, new_sig)
consequent = reduce(lambda x, y: x | y, disjuncts)
accum = ImpExpression(antecedent, consequent)
else:
# nothing has property 'p'
accum = NegatedExpression(self._make_antecedent(p, new_sig))
# quantify the implication
for new_sig_var in new_sig[::-1]:
accum = AllExpression(new_sig_var, accum)
new_assumptions.append(accum)
return assumptions + new_assumptions
def clone(self):
new_agenda = Agenda()
set_list = [s.copy() for s in self.sets]
new_allExs = set()
for allEx,_ in set_list[Categories.ALL]:
new_allEx = AllExpression(allEx.variable, allEx.term)
try:
new_allEx._used_vars = set(used for used in allEx._used_vars)
except AttributeError:
new_allEx._used_vars = set()
new_allExs.add((new_allEx,None))
set_list[Categories.ALL] = new_allExs
set_list[Categories.N_EQ] = set((NegatedExpression(n_eq.term),ctx)
for (n_eq,ctx) in set_list[Categories.N_EQ])
new_agenda.sets = tuple(set_list)
return new_agenda
def fol(self):
return NegatedExpression(self.term.fol())
def prove_negative(queue):
negated_conclusion = NegatedExpression(conclusion)
res = prove_fun(premises, negated_conclusion, predicates, lst, axioms,
mode)
is_prover = False
queue.put((is_prover, res))
