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rAKA/python/py_aka_model.cc
0dda5dcc1039features/new-materials

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py_aka_model.cc
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/* -------------------------------------------------------------------------- */
#include "py_aka_array.hh"
/* -------------------------------------------------------------------------- */
#include <model.hh>
#include <non_linear_solver.hh>
#include <sparse_matrix_aij.hh>
/* -------------------------------------------------------------------------- */
#include <pybind11/operators.h>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
/* -------------------------------------------------------------------------- */
namespace py = pybind11;
/* -------------------------------------------------------------------------- */
namespace akantu {
/* -------------------------------------------------------------------------- */
[[gnu::visibility("default")]] void register_model(py::module & mod) {
py::class_<SparseMatrix>(mod, "SparseMatrix")
.def("getMatrixType", &SparseMatrix::getMatrixType)
.def("size", &SparseMatrix::size);
py::class_<SparseMatrixAIJ, SparseMatrix>(mod, "SparseMatrixAIJ")
.def("getIRN", &SparseMatrixAIJ::getIRN)
.def("getJCN", &SparseMatrixAIJ::getJCN)
.def("getA", &SparseMatrixAIJ::getA);
py::class_<DOFManager>(mod, "DOFManager")
.def("getMatrix",
[](DOFManager & self, const std::string & name) {
return dynamic_cast<akantu::SparseMatrixAIJ &>(
self.getMatrix(name));
},
py::return_value_policy::reference);
py::class_<Model>(mod, "Model")
.def("setBaseName", &Model::setBaseName)
.def("getFEEngine", &Model::getFEEngine, py::arg("name") = "",
py::return_value_policy::reference)
.def("addDumpFieldVector", &Model::addDumpFieldVector)
.def("addDumpField", &Model::addDumpField)
.def("setBaseNameToDumper", &Model::setBaseNameToDumper)
.def("addDumpFieldVectorToDumper", &Model::addDumpFieldVectorToDumper)
.def("addDumpFieldToDumper", &Model::addDumpFieldToDumper)
.def("dump", &Model::dump)
.def("initNewSolver", &Model::initNewSolver)
.def("getDOFManager", &Model::getDOFManager,
py::return_value_policy::reference);
py::class_<NonLinearSolver>(mod, "NonLinearSolver")
.def(
"set",
[](NonLinearSolver & self, const std::string & id, const Real & val) {
if (id == "max_iterations")
self.set(id, int(val));
else if (id == "convergence_type")
self.set(id, akantu::SolveConvergenceCriteria(UInt(val)));
else
self.set(id, val);
})
.def("set", &NonLinearSolver::set<SolveConvergenceCriteria>);
py::class_<ModelSolver, Parsable>(mod, "ModelSolver",
py::multiple_inheritance())
.def("getNonLinearSolver",
(NonLinearSolver & (ModelSolver::*)(const ID &)) &
ModelSolver::getNonLinearSolver,
py::arg("solver_id") = "", py::return_value_policy::reference)
.def("solveStep", &ModelSolver::solveStep, py::arg("solver_id") = "");
}
} // namespace akantu
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