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rAKA/python/py_model.cc
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py_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 {
/* -------------------------------------------------------------------------- */
void register_model(py::module & mod) {
py::class_<DOFManager>(mod, "DOFManager")
.def("getMatrix", &DOFManager::getMatrix,
py::return_value_policy::reference)
.def(
"getNewMatrix",
[](DOFManager & self, const std::string & name,
const std::string & matrix_to_copy_id) -> decltype(auto) {
return self.getNewMatrix(name, matrix_to_copy_id);
},
py::return_value_policy::reference)
.def(
"getResidual",
[](DOFManager & self) -> decltype(auto) {
return self.getResidual();
},
py::return_value_policy::reference)
.def("getArrayPerDOFs", &DOFManager::getArrayPerDOFs)
.def("assembleToResidual", &DOFManager::assembleToResidual);
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 {
self.set(id, val);
}
})
.def("set",
[](NonLinearSolver & self, const std::string & id,
const SolveConvergenceCriteria & val) { self.set(id, val); });
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 & self) { self.solveStep(); })
.def("solveStep", [](ModelSolver & self, const ID & solver_id) {
self.solveStep(solver_id);
});
py::class_<Model, ModelSolver>(mod, "Model", py::multiple_inheritance())
.def("setBaseName", &Model::setBaseName)
.def("setDirectory", &Model::setDirectory)
.def("getFEEngine", &Model::getFEEngine, py::arg("name") = "",
py::return_value_policy::reference)
.def("getFEEngineBoundary", &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("getNewSolver", [](Model & self, const std::string id, const TimeStepSolverType & time,
const NonLinearSolverType & type) {
self.getNewSolver(id, time, type);
}, py::return_value_policy::reference)
.def("setIntegrationScheme", [](Model & self, const std::string id, const std::string primal,
const IntegrationSchemeType & scheme) {
self.setIntegrationScheme(id, primal, scheme);
})
.def("getDOFManager", &Model::getDOFManager,
py::return_value_policy::reference);
}
} // namespace akantu
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