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import stormpy
import stormpy.logic
from helpers.helper import get_example_path
class TestModelChecking:
def test_pla(self):
import pycarl
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
prop = "P<=0.84 [F s=5 ]"
formulas = stormpy.parse_properties_for_prism_program(prop, program)
model = stormpy.build_parametric_model(program, formulas)
assert model.nr_states == 613
assert model.nr_transitions == 803
assert model.model_type == stormpy.ModelType.DTMC
assert model.has_parameters
checker = stormpy.SparseDtmcRegionChecker(model)
checker.specify_formula(formulas[0].raw_formula)
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
region = stormpy.ParameterRegion("0.7<=pL<=0.9,0.75<=pK<=0.95", parameters)
result = checker.check_region(region)
assert result == stormpy.RegionCheckResult.ALLSAT
region = stormpy.ParameterRegion("0.4<=pL<=0.65,0.75<=pK<=0.95", parameters)
result = checker.check_region(region, stormpy.RegionCheckResult.UNKNOWN, True)
assert result == stormpy.RegionCheckResult.EXISTSBOTH
region = stormpy.ParameterRegion("0.1<=pL<=0.73,0.2<=pK<=0.715", parameters)
result = checker.check_region(region)
assert result == stormpy.RegionCheckResult.ALLVIOLATED
def test_derivatives(self):
import pycarl
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
prop = "P<=0.84 [F s=5 ]"
formulas = stormpy.parse_properties_for_prism_program(prop, program)
model = stormpy.build_parametric_model(program, formulas)
assert model.nr_states == 613
assert model.nr_transitions == 803
assert model.model_type == stormpy.ModelType.DTMC
assert model.has_parameters
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
derivatives = stormpy.gather_derivatives(model, list(parameters)[0])
assert len(derivatives) == 0