from teachers.teacher import Teacher
from util.dotloader import load_mealy_dot
path = "/home/tom/projects/lstar/rers/industrial/m54.dot"
mm = load_mealy_dot(path)
mm.render_graph(tempfile.mktemp('.gv'), render_options={'ignore_self_edges': ['error', 'invalid']},)
# Use the W method equivalence checker
eqc = SmartWmethodEquivalenceChecker(mm,
m=len(mm.get_states()) + 1,
stop_on={'error'})
eqc.onCounterexample(lambda x: print('Counterexample:', x))
teacher = Teacher(mm, eqc)
# We are learning a mealy machine
learner = MealyLearner(teacher)
hyp = learner.run(
show_intermediate=False,
render_options={'ignore_self_edges': ['error', 'invalid']},
)
hyp.render_graph(tempfile.mktemp('.gv'))
assert len(hyp.get_states()) == len(mm.get_states())
if __name__ == "__main__":
sul = ArithmeticTest()
#sul.process_input(['add', 'exec', 'show'])
ct = CounterexampleTracker()
eqc = SmartWmethodEquivalenceChecker(sul, horizon=3)
eqc = StackedChecker(
GeneticEquivalenceChecker(sul, ct, pop_n=100000),
SmartWmethodEquivalenceChecker(sul, horizon=3, order_type='ce count'))
eqc.onCounterexample(lambda ce: ct.add(ce))
teacher = Teacher(sul, eqc)
# We are learning a mealy machine
learner = MealyLearner(teacher)
def print_stats(hyp=None):
print("Member queries:", teacher.member_query_counter)
print("Equivalence queries:", teacher.equivalence_query_counter)
print("Test queries:", teacher.test_query_counter)
hyp = learner.run(show_intermediate=False, on_hypothesis=print_stats)
hyp.render_graph()