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Additional tests for PLA bindings

refactoring
Sebastian Junges 7 years ago
parent
commit
04f70bd706
  1. 67
      tests/pars/test_pla.py

67
tests/pars/test_pla.py

@ -1,5 +1,6 @@
import stormpy
import stormpy.logic
import math
from helpers.helper import get_example_path
from configurations import pars
@ -30,3 +31,69 @@ class TestPLA:
region = stormpy.pars.ParameterRegion("0.1<=pL<=0.73,0.2<=pK<=0.715", parameters)
result = checker.check_region(env, region)
assert result == stormpy.pars.RegionResult.ALLVIOLATED
def test_pla_bounds(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
prop = "P=? [F s=5 ]"
formulas = stormpy.parse_properties_for_prism_program(prop, program)
model = stormpy.build_parametric_model(program, formulas)
assert model.has_parameters
env = stormpy.Environment()
checker = stormpy.pars.create_region_checker(env, model, formulas[0].raw_formula)
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
region = stormpy.pars.ParameterRegion("0.7<=pL<=0.9,0.75<=pK<=0.95", parameters)
result = checker.get_bound(env, region, True)
assert math.isclose(float(result.constant_part()), 0.8369631383670559)
#result_vec = checker.get_bound_all_states(env, region, True)
#result = result_vec.at(model.initial_states[0])
#assert math.isclose(float(result.constant_part()), 0.8369631383670559)
def test_pla_manual(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
prop = "P=? [F s=5 ]"
formulas = stormpy.parse_properties_for_prism_program(prop, program)
model = stormpy.build_parametric_model(program, formulas)
assert model.has_parameters
env = stormpy.Environment()
checker = stormpy.pars.DtmcParameterLiftingModelChecker()
checker.specify(env, model, formulas[0].raw_formula)
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
region = stormpy.pars.ParameterRegion("0.7<=pL<=0.9,0.75<=pK<=0.95", parameters)
result = checker.get_bound(env, region, True)
assert math.isclose(float(result.constant_part()), 0.8369631383670559)
def test_pla_manual_no_simplification(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
prop = "P=? [F s=5 ]"
formulas = stormpy.parse_properties_for_prism_program(prop, program)
model = stormpy.build_parametric_model(program, formulas)
assert model.has_parameters
env = stormpy.Environment()
checker = stormpy.pars.DtmcParameterLiftingModelChecker()
checker.specify(env, model, formulas[0].raw_formula, allow_model_simplification=False)
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
region = stormpy.pars.ParameterRegion("0.7<=pL<=0.9,0.75<=pK<=0.95", parameters)
result = checker.get_bound(env, region, True)
assert math.isclose(float(result.constant_part()), 0.836963056082918)
def test_pla_state_bounds(self):
program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
prop = "P=? [F s=5 ]"
formulas = stormpy.parse_properties_for_prism_program(prop, program)
model = stormpy.build_parametric_model(program, formulas)
assert model.has_parameters
env = stormpy.Environment()
checker = stormpy.pars.DtmcParameterLiftingModelChecker()
checker.specify(env, model, formulas[0].raw_formula, allow_model_simplification=False)
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
region = stormpy.pars.ParameterRegion("0.7<=pL<=0.9,0.75<=pK<=0.95", parameters)
result_vec = checker.get_bound_all_states(env, region, True)
assert len(result_vec.get_values()) == model.nr_states
assert math.isclose(result_vec.at(model.initial_states[0]), 0.836963056082918)
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