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42 lines
1.9 KiB
42 lines
1.9 KiB
import stormpy
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import stormpy.info
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import stormpy.logic
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from helpers.helper import get_example_path
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class TestParametric:
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def test_constraints_collector(self):
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from pycarl.formula import FormulaType, Relation
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if stormpy.info.storm_ratfunc_use_cln():
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import pycarl.cln.formula
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else:
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import pycarl.gmp.formula
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program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
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prop = "P=? [F s=5]"
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formulas = stormpy.parse_properties_for_prism_program(prop, program)
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model = stormpy.build_parametric_model(program, formulas)
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collector = stormpy.ConstraintCollector(model)
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constraints_well_formed = collector.wellformed_constraints
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for formula in constraints_well_formed:
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assert formula.type == FormulaType.CONSTRAINT
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constraint = formula.get_constraint()
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assert constraint.relation == Relation.LEQ
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constraints_graph_preserving = collector.graph_preserving_constraints
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for formula in constraints_graph_preserving:
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assert formula.type == FormulaType.CONSTRAINT
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constraint = formula.get_constraint()
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assert constraint.relation == Relation.NEQ
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def test_derivatives(self):
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program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
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prop = "P<=0.84 [F s=5 ]"
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formulas = stormpy.parse_properties_for_prism_program(prop, program)
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model = stormpy.build_parametric_model(program, formulas)
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assert model.nr_states == 613
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assert model.nr_transitions == 803
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assert model.model_type == stormpy.ModelType.DTMC
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assert model.has_parameters
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parameters = model.collect_probability_parameters()
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assert len(parameters) == 2
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derivatives = stormpy.pars.gather_derivatives(model, list(parameters)[0])
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assert len(derivatives) == 0
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