Homec4science
Diffusion akantu (features/joss-2023) Browse

rAKA/python/py_aka_common.cc
4d32193ecffafeatures/joss-2023

Last Change
Raw File

py_aka_common.cc
View Options

/**
* Copyright (©) 2018-2023 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* This file is part of Akantu
*
* 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 <aka_common.hh>
#include <aka_random_generator.hh>
/* -------------------------------------------------------------------------- */
#include <boost/preprocessor.hpp>
/* -------------------------------------------------------------------------- */
#include <pybind11/operators.h>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
/* -------------------------------------------------------------------------- */
namespace py = pybind11;
namespace akantu {
/* -------------------------------------------------------------------------- */
#define PY_AKANTU_PP_VALUE(s, data, elem) \
.value(BOOST_PP_STRINGIZE(elem), BOOST_PP_CAT(data, elem))
#define PY_AKANTU_REGISTER_ENUM_(type_name, list, prefix, mod) \
py::enum_<type_name>(mod, BOOST_PP_STRINGIZE(type_name)) \
BOOST_PP_SEQ_FOR_EACH(PY_AKANTU_PP_VALUE, \
prefix, list) \
.export_values()
#define PY_AKANTU_REGISTER_CLASS_ENUM(type_name, list, mod) \
PY_AKANTU_REGISTER_ENUM_(type_name, list, type_name::_, mod)
#define PY_AKANTU_REGISTER_ENUM(type_name, list, mod) \
PY_AKANTU_REGISTER_ENUM_(type_name, list, , mod)
/* -------------------------------------------------------------------------- */
void register_initialize(py::module & mod) {
mod.def("__initialize", []() {
int nb_args = 0;
char ** null = nullptr;
initialize(nb_args, null);
});
}
void register_enums(py::module & mod) {
py::enum_<SpatialDirection>(mod, "SpatialDirection")
.value("_x", _x)
.value("_y", _y)
.value("_z", _z)
.export_values();
py::enum_<AnalysisMethod>(mod, "AnalysisMethod")
.value("_static", _static)
.value("_implicit_dynamic", _implicit_dynamic)
.value("_explicit_lumped_mass", _explicit_lumped_mass)
.value("_explicit_lumped_capacity", _explicit_lumped_capacity)
.value("_explicit_consistent_mass", _explicit_consistent_mass)
.value("_explicit_contact", _explicit_contact)
.value("_implicit_contact", _implicit_contact)
.export_values();
PY_AKANTU_REGISTER_CLASS_ENUM(ModelType, AKANTU_MODEL_TYPES, mod);
PY_AKANTU_REGISTER_CLASS_ENUM(NonLinearSolverType,
AKANTU_NON_LINEAR_SOLVER_TYPES, mod);
PY_AKANTU_REGISTER_CLASS_ENUM(TimeStepSolverType,
AKANTU_TIME_STEP_SOLVER_TYPE, mod);
PY_AKANTU_REGISTER_CLASS_ENUM(IntegrationSchemeType,
AKANTU_INTEGRATION_SCHEME_TYPE, mod);
PY_AKANTU_REGISTER_CLASS_ENUM(SolveConvergenceCriteria,
AKANTU_SOLVE_CONVERGENCE_CRITERIA, mod);
py::enum_<CohesiveMethod>(mod, "CohesiveMethod")
.value("_intrinsic", _intrinsic)
.value("_extrinsic", _extrinsic)
.export_values();
py::enum_<GhostType>(mod, "GhostType")
.value("_not_ghost", _not_ghost)
.value("_ghost", _ghost)
.value("_casper", _casper)
.export_values();
py::enum_<MeshIOType>(mod, "MeshIOType")
.value("_miot_auto", _miot_auto)
.value("_miot_gmsh", _miot_gmsh)
.value("_miot_gmsh_struct", _miot_gmsh_struct)
.value("_miot_diana", _miot_diana)
.value("_miot_abaqus", _miot_abaqus)
.export_values();
py::enum_<MatrixType>(mod, "MatrixType")
.value("_unsymmetric", _unsymmetric)
.value("_symmetric", _symmetric)
.export_values();
py::module mod_rdt = mod.def_submodule("RandomDistributionType");
py::enum_<RandomDistributionType>(mod_rdt, "RandomDistributionTypes")
.value("_uniform", RandomDistributionType::_uniform)
.value("_exponential", RandomDistributionType::_exponential)
.value("_gamma", RandomDistributionType::_gamma)
.value("_weibull", RandomDistributionType::_weibull)
.value("_extreme_value", RandomDistributionType::_extreme_value)
.value("_normal", RandomDistributionType::_normal)
.value("_lognormal", RandomDistributionType::_lognormal)
.value("_chi_squared", RandomDistributionType::_chi_squared)
.value("_cauchy", RandomDistributionType::_cauchy)
.value("_fisher_f", RandomDistributionType::_fisher_f)
.value("_student_t", RandomDistributionType::_student_t)
.export_values();
PY_AKANTU_REGISTER_ENUM(ElementType, AKANTU_ALL_ELEMENT_TYPE(_not_defined),
mod);
PY_AKANTU_REGISTER_ENUM(ElementKind, AKANTU_ELEMENT_KIND(_ek_not_defined),
mod);
}
/* -------------------------------------------------------------------------- */
#define AKANTU_PP_STR_TO_TYPE2(s, data, elem) ({BOOST_PP_STRINGIZE(elem), elem})
void register_functions(py::module & mod) {
mod.def("getElementTypes", []() {
std::map<std::string, akantu::ElementType> element_types{
BOOST_PP_SEQ_FOR_EACH_I(
AKANTU_PP_ENUM, BOOST_PP_SEQ_SIZE(AKANTU_ek_regular_ELEMENT_TYPE),
BOOST_PP_SEQ_TRANSFORM(AKANTU_PP_STR_TO_TYPE2, akantu,
AKANTU_ek_regular_ELEMENT_TYPE))};
return element_types;
});
}
#undef AKANTU_PP_STR_TO_TYPE2
} // namespace akantu
c4science · Help