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rAKA/python/py_model.cc
8b12a8c50daffeatures/ci_on_macos

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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_<SparseMatrix>(mod, "SparseMatrix")
.def("getMatrixType", &SparseMatrix::getMatrixType)
.def("size", &SparseMatrix::size)
.def("clear", &SparseMatrix::clear)
.def("saveProfile", &SparseMatrix::saveProfile)
.def("saveMatrix", &SparseMatrix::saveMatrix)
.def(
"add", [](SparseMatrix & self, UInt i, UInt j) { self.add(i, j); },
"Add entry in the profile")
.def(
"add",
[](SparseMatrix & self, UInt i, UInt j, Real value) {
self.add(i, j, value);
},
"Add the value to the matrix")
.def("__call__", [](const SparseMatrix & self, UInt i, UInt j) {
return self(i, j);
});
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::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);
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("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("getDOFManager", &Model::getDOFManager,
py::return_value_policy::reference);
}
} // namespace akantu
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