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py_model.cc
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/**
* @file py_model.cc
*
* @author Guillaume Anciaux <guillaume.anciaux@epfl.ch>
* @author Emil Gallyamov <emil.gallyamov@epfl.ch>
* @author Philip Mueller <philip.paul.mueller@bluemail.ch>
* @author Mohit Pundir <mohit.pundir@epfl.ch>
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Sun Jun 16 2019
* @date last modification: Sat Mar 13 2021
*
* @brief pybind11 interface to Model and parent classes
*
*
* @section LICENSE
*
* Copyright (©) 2018-2021 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* Akantu is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Akantu is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#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(
"hasMatrix",
[](DOFManager & self, const ID & name) -> bool {
return self.hasMatrix(name);
},
py::arg("name"))
.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 & self) { self.dump(); })
.def(
"dump", [](Model & self, UInt step) { self.dump(step); },
py::arg("step"))
.def(
"dump",
[](Model & self, Real time, UInt step) { self.dump(time, step); },
py::arg("time"), py::arg("step"))
.def(
"dump",
[](Model & self, const std::string & dumper) { self.dump(dumper); },
py::arg("dumper_name"))
.def(
"dump",
[](Model & self, const std::string & dumper, UInt step) {
self.dump(dumper, step);
},
py::arg("dumper_name"), py::arg("step"))
.def(
"dump",
[](Model & self, const std::string & dumper, Real time, UInt step) {
self.dump(dumper, time, step);
},
py::arg("dumper_name"), py::arg("time"), py::arg("step"))
.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)
.def("assembleMatrix", &Model::assembleMatrix);
}
} // namespace akantu
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