Homec4science
Diffusion tamaas (ci-fix-static-checks) Browse

tamaas/python/wrap/core.cpp
abda169fde82ci-fix-static-checks

Last Change
Raw File

core.cpp
View Options

/*
* SPDX-License-Indentifier: AGPL-3.0-or-later
*
* Copyright (©) 2016-2022 EPFL (École Polytechnique Fédérale de Lausanne),
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published
* by the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "logger.hh"
#include "statistics.hh"
#include "wrap.hh"
#include <pybind11/stl.h>
/* -------------------------------------------------------------------------- */
namespace tamaas {
/* -------------------------------------------------------------------------- */
namespace wrap {
using namespace py::literals;
/* -------------------------------------------------------------------------- */
template <UInt dim>
void wrapStatistics(py::module& mod) {
auto name = makeDimensionName("Statistics", dim);
py::class_<Statistics<dim>>(mod, name.c_str())
.def_static("computePowerSpectrum",
&Statistics<dim>::computePowerSpectrum,
py::return_value_policy::move, "Compute PSD of surface")
.def_static(
"computeAutocorrelation", &Statistics<dim>::computeAutocorrelation,
py::return_value_policy::move, "Compute autocorrelation of surface")
.def_static("computeMoments", &Statistics<dim>::computeMoments,
"Compute spectral moments")
.def_static("computeSpectralRMSSlope",
&Statistics<dim>::computeSpectralRMSSlope,
"Compute hrms' in Fourier space")
.def_static("computeRMSHeights", &Statistics<dim>::computeRMSHeights,
"Compute hrms")
.def_static("contact", &Statistics<dim>::contact, "tractions"_a,
"perimeter"_a = 0,
"Compute the (corrected) contact area. Permieter is the "
"total contact perimeter in number of segments.");
}
/* -------------------------------------------------------------------------- */
void wrapCore(py::module& mod) {
// Exposing logging facility
py::enum_<LogLevel>(mod, "LogLevel")
.value("debug", LogLevel::debug)
.value("info", LogLevel::info)
.value("warning", LogLevel::warning)
.value("error", LogLevel::error);
mod.def("set_log_level", [](LogLevel level) { Logger::setLevel(level); });
mod.def("get_log_level", Logger::getCurrentLevel);
py::class_<Logger>(mod, "Logger")
.def(py::init<>())
.def("get",
[](Logger& logger, LogLevel level) -> Logger& {
logger.get(level);
return logger;
},
"Get a logger object for a log level")
.def("__lshift__",
[](Logger& logger, std::string msg) -> Logger& {
auto level = logger.getWishLevel();
if (level >= Logger::getCurrentLevel() and
not(mpi::rank() != 0 and level == LogLevel::info)) {
py::print(msg,
"file"_a = py::module::import("sys").attr("stderr"));
}
return logger;
},
"Log a message");
wrapStatistics<1>(mod);
wrapStatistics<2>(mod);
mod.def("to_voigt",
[](const Grid<Real, 3>& field) {
TAMAAS_DEPRECATE("tamaas.to_voigt()", "tamaas.compute.to_voigt()");
if (field.getNbComponents() == 9) {
Grid<Real, 3> voigt(field.sizes(), 6);
Loop::loop(
[] CUDA_LAMBDA(MatrixProxy<const Real, 3, 3> in,
SymMatrixProxy<Real, 3> out) {
out.symmetrize(in);
},
range<MatrixProxy<const Real, 3, 3>>(field),
range<SymMatrixProxy<Real, 3>>(voigt));
return voigt;
}
TAMAAS_EXCEPTION("Wrong number of components to symmetrize");
},
"Convert a 3D tensor field to voigt notation",
py::return_value_policy::copy);
}
} // namespace wrap
/* -------------------------------------------------------------------------- */
} // namespace tamaas
c4science · Help