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tamaas/python/wrap/model.cpp
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model.cpp
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/**
* @file
*
* @author Lucas Frérot <lucas.frerot@epfl.ch>
*
* @section LICENSE
*
* Copyright (©) 2017 EPFL (Ecole Polytechnique Fédérale de
* Lausanne) Laboratory (LSMS - Laboratoire de Simulation en Mécanique des
* Solides)
*
* Tamaas 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.
*
* Tamaas 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 Tamaas. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "wrap.hh"
#include "model.hh"
#include "model_factory.hh"
#include "functional.hh"
#include "adhesion_functional.hh"
#include <pybind11/stl.h>
/* -------------------------------------------------------------------------- */
__BEGIN_TAMAAS__
namespace functional {
namespace wrap {
class PyFunctional : public Functional {
public:
using Functional::Functional;
// Overriding pure virtual functions
Real computeF(GridBase<Real>& variable,
GridBase<Real>& dual) const override {
PYBIND11_OVERLOAD_PURE(Real, Functional, computeF, variable, dual);
}
void computeGradF(GridBase<Real>& variable,
GridBase<Real>& gradient) const override {
PYBIND11_OVERLOAD_PURE(void, Functional, computeGradF, variable, gradient);
}
};
}
}
namespace wrap {
using namespace py::literals;
void wrapFunctionals(py::module& mod) {
py::class_<functional::Functional, functional::wrap::PyFunctional> func(
mod, "Functional");
func.def("computeF", &functional::Functional::computeF)
.def("computeGradF", &functional::Functional::computeGradF);
py::class_<functional::AdhesionFunctional> adh(mod, "AdhesionFunctional",
func);
adh.def_property("parameters", &functional::AdhesionFunctional::getParameters,
&functional::AdhesionFunctional::setParameters);
py::class_<functional::ExponentialAdhesionFunctional>(
mod, "ExponentialAdhesionFunctional", adh)
.def(py::init<const BEEngine&, const GridBase<Real>&>(), "be_engine"_a,
"surface"_a);
py::class_<functional::MaugisAdhesionFunctional>(
mod, "MaugisAdhesionFunctional", adh)
.def(py::init<const BEEngine&, const GridBase<Real>&>(), "be_engine"_a,
"surface"_a);
py::class_<functional::SquaredExponentialAdhesionFunctional>(
mod, "SquaredExponentialAdhesionFunctional", adh)
.def(py::init<const BEEngine&, const GridBase<Real>&>(), "be_engine"_a,
"surface"_a);
}
void wrapModelClass(py::module& mod) {
py::enum_<model_type>(mod, "model_type")
.value("basic_1d", model_type::basic_1d)
.value("basic_2d", model_type::basic_1d)
.value("surface_1d", model_type::surface_1d)
.value("surface_2d", model_type::surface_1d)
.value("volume_1d", model_type::volume_1d)
.value("volume_2d", model_type::volume_1d);
py::class_<Model>(mod, "Model")
.def("setElasticity", &Model::setElasticity, "E"_a, "nu"_a)
.def("getHertzModulus", &Model::getHertzModulus)
.def("getYoungModulus", &Model::getYoungModulus)
.def("getPoissonRatio", &Model::getPoissonRatio)
.def("getTraction", (GridBase<Real> & (Model::*)()) & Model::getTraction)
.def("getDisplacement",
(GridBase<Real> & (Model::*)()) & Model::getDisplacement)
.def("getSystemSize", &Model::getSystemSize)
.def("getDiscretization", &Model::getDiscretization)
.def("solveNeumann", &Model::solveNeumann)
.def("solveDirichlet", &Model::solveDirichlet);
}
void wrapModelFactory(py::module& mod) {
py::class_<ModelFactory>(mod, "ModelFactory")
.def_static("createModel", &ModelFactory::createModel, "model_type"_a,
"system_size"_a, "discretization"_a);
}
void wrapModel(py::module& mod) {
wrapModelClass(mod);
wrapModelFactory(mod);
wrapFunctionals(mod);
}
} // namespace wrap
__END_TAMAAS__
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