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import stormpy |
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import stormpy.core |
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import stormpy.examples |
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import stormpy.examples.files |
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import stormpy.info |
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import pycarl |
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def example_building_models_02(): |
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import stormpy.pars |
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if stormpy.info.storm_ratfunc_use_cln(): |
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import pycarl.cln as pc |
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else: |
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import pycarl.gmp as pc |
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def make_factorized_rf(var, cache): |
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num = pc.FactorizedPolynomial(pc.Polynomial(var), cache) |
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denom = pc.FactorizedPolynomial(pc.Rational(1)) |
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return pc.FactorizedRationalFunction(num, denom) |
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# And the parametric |
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path = stormpy.examples.files.drn_pdtmc_die |
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model = stormpy.build_parametric_model_from_drn(path) |
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print(model.model_type) |
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print("Number of states: {}".format(model.nr_states)) |
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parameters = model.collect_probability_parameters() |
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bar_parameters = dict() |
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for p in parameters: |
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# Ensure that variables with that name are not recognized by pycarl. |
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assert pycarl.variable_with_name(p.name + "_bar").is_no_variable |
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bar_parameters[p] = pycarl.Variable(p.name + "_bar") |
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print(pc.Polynomial(1) - p) |
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substitutions = dict([[pc.Polynomial(1) - p, bar_parameters[p]] for p in parameters]) |
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print(substitutions) |
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matrix = model.transition_matrix |
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for e in matrix: |
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val = e.value() |
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if val.is_constant(): |
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continue |
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val_pol = val.numerator.polynomial() |
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cache = val.numerator.cache() |
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for sub, repl in substitutions.items(): |
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print(sub) |
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print(val_pol - sub) |
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if val_pol - sub == 0: |
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print("Found substitution") |
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e.set_value(make_factorized_rf(repl, cache)) |
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break # Assume only one substitution per entry |
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print(matrix) |
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if __name__ == '__main__': |
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example_building_models_02() |