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import stormpy
import stormpy.logic
import stormpy.pars
from helpers.helper import get_example_path
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.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_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])