You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

81 lines
3.8 KiB

import stormpy
import stormpy.logic
from helpers.helper import get_example_path
from configurations import pars
import math
@pars
class TestModelInstantiator:
def test_instantiate_dtmc(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
formulas = stormpy.parse_properties_for_prism_program("P=? [ F s=5 ]", program)
model = stormpy.build_parametric_model(program, formulas)
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
instantiator = stormpy.pars.ModelInstantiator(model)
point = {p: stormpy.RationalRF("0.4") for p in parameters}
instantiated_model = instantiator.instantiate(point)
assert instantiated_model.nr_states == model.nr_states
assert not instantiated_model.has_parameters
assert "0.4" in str(instantiated_model.transition_matrix[1])
point = {p: stormpy.RationalRF("0.5") for p in parameters}
instantiated_model2 = instantiator.instantiate(point)
assert "0.5" in str(instantiated_model2.transition_matrix[1])
def test_sample_pdtmc(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
formulas = stormpy.parse_properties_for_prism_program("P=? [F \"error\"]", program)
model = stormpy.build_parametric_model(program, formulas)
parameters = model.collect_probability_parameters()
instantiator = stormpy.pars.PDtmcInstantiator(model)
point = {p: stormpy.RationalRF("0.4") for p in parameters}
instantiated_model = instantiator.instantiate(point)
assert instantiated_model.nr_states == model.nr_states
assert not instantiated_model.has_parameters
assert "0.4" in str(instantiated_model.transition_matrix[1])
point = {p: stormpy.RationalRF("0.5") for p in parameters}
instantiated_model2 = instantiator.instantiate(point)
assert "0.5" in str(instantiated_model2.transition_matrix[1])
def test_pdtmc_instantiation_checker(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "herman5.pm"))
formulas = stormpy.parse_properties_for_prism_program("R=? [F \"stable\"]", program)
model = stormpy.build_parametric_model(program, formulas)
parameters = model.collect_probability_parameters()
inst_checker = stormpy.pars.PDtmcInstantiationChecker(model)
inst_checker.specify_formula(stormpy.ParametricCheckTask(formulas[0].raw_formula, True))
inst_checker.set_graph_preserving(True)
env = stormpy.Environment()
point = {p: stormpy.RationalRF(1 / 2) for p in parameters}
result = inst_checker.check(env, point)
assert isinstance(result, stormpy.ExplicitQuantitativeCheckResult)
res = result.at(model.initial_states[0])
assert isinstance(res, float)
assert math.isclose(res, 29 / 15)
def test_pdtmc_exact_instantiation_checker(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "herman5.pm"))
formulas = stormpy.parse_properties_for_prism_program("R=? [F \"stable\"]", program)
model = stormpy.build_parametric_model(program, formulas)
parameters = model.collect_probability_parameters()
inst_checker = stormpy.pars.PDtmcExactInstantiationChecker(model)
inst_checker.specify_formula(stormpy.ParametricCheckTask(formulas[0].raw_formula, True))
inst_checker.set_graph_preserving(True)
env = stormpy.Environment()
point = {p: stormpy.RationalRF("1/2") for p in parameters}
result = inst_checker.check(env, point)
assert isinstance(result, stormpy.ExplicitExactQuantitativeCheckResult)
res = result.at(model.initial_states[0])
assert isinstance(res, stormpy.Rational)
assert res == stormpy.Rational("29/15")