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@ -106,6 +106,8 @@ void define_model(py::module& m) { |
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.def_property_readonly("is_exact", &ModelBase::isExact, "Flag whether model is exact") |
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.def_property_readonly("is_exact", &ModelBase::isExact, "Flag whether model is exact") |
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.def_property_readonly("is_sparse_model", &ModelBase::isSparseModel, "Flag whether the model is stored as a sparse model") |
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.def_property_readonly("is_sparse_model", &ModelBase::isSparseModel, "Flag whether the model is stored as a sparse model") |
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.def_property_readonly("is_symbolic_model", &ModelBase::isSymbolicModel, "Flag whether the model is stored using decision diagrams") |
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.def_property_readonly("is_symbolic_model", &ModelBase::isSymbolicModel, "Flag whether the model is stored using decision diagrams") |
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.def_property_readonly("is_discrete_time_model", &ModelBase::isDiscreteTimeModel, "Flag whether the model is a discrete time model") |
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.def_property_readonly("is_nondeterministic_model", &ModelBase::isNondeterministicModel, "Flag whether the model contains nondeterminism") |
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.def("_as_sparse_dtmc", [](ModelBase &modelbase) { |
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.def("_as_sparse_dtmc", [](ModelBase &modelbase) { |
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return modelbase.as<SparseDtmc<double>>(); |
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return modelbase.as<SparseDtmc<double>>(); |
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}, "Get model as sparse DTMC") |
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}, "Get model as sparse DTMC") |
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