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igl/python/py_igl/py_min_quad_with_fixed.cpp
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2017-10-08 16:02:47 -04:00

81 lines
2.6 KiB
C++

// This file is part of libigl, a simple c++ geometry processing library.
//
// Copyright (C) 2017 Sebastian Koch <s.koch@tu-berlin.de> and Daniele Panozzo <daniele.panozzo@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla Public License
// v. 2.0. If a copy of the MPL was not distributed with this file, You can
// obtain one at http://mozilla.org/MPL/2.0/.
// Wrap the data class, no properties are exposed since it is not necessary
py::class_<igl::min_quad_with_fixed_data<double> > min_quad_with_fixed_data(m, "min_quad_with_fixed_data");
min_quad_with_fixed_data
.def(py::init<>());
m.def("min_quad_with_fixed_precompute", []
(
const Eigen::SparseMatrix<double>& A,
const Eigen::MatrixXi& known,
const Eigen::SparseMatrix<double>& Aeq,
const bool pd,
igl::min_quad_with_fixed_data<double> & data
)
{
assert_is_VectorX("known",known);
return igl::min_quad_with_fixed_precompute(A,known,Aeq,pd,data);
}, __doc_igl_min_quad_with_fixed,
py::arg("A"), py::arg("known"), py::arg("Aeq"), py::arg("pd"), py::arg("data"));
m.def("min_quad_with_fixed_solve", []
(
const igl::min_quad_with_fixed_data<double> & data,
const Eigen::MatrixXd& B,
const Eigen::MatrixXd& Y,
const Eigen::MatrixXd & Beq,
Eigen::MatrixXd& Z,
Eigen::MatrixXd& sol
)
{
assert_is_VectorX("B",B);
assert_is_VectorX("Y",Y);
assert_is_VectorX("Beq",Beq);
return igl::min_quad_with_fixed_solve(data,B,Y,Beq,Z,sol);
}, __doc_igl_min_quad_with_fixed,
py::arg("data"), py::arg("B"), py::arg("Y"), py::arg("Beq"), py::arg("Z"), py::arg("sol"));
m.def("min_quad_with_fixed_solve", []
(
const igl::min_quad_with_fixed_data<double> & data,
const Eigen::MatrixXd& B,
const Eigen::MatrixXd& Y,
const Eigen::MatrixXd & Beq,
Eigen::MatrixXd& Z
)
{
assert_is_VectorX("B",B);
assert_is_VectorX("Y",Y);
assert_is_VectorX("Beq",Beq);
return igl::min_quad_with_fixed_solve(data,B,Y,Beq,Z);
}, __doc_igl_min_quad_with_fixed,
py::arg("data"), py::arg("B"), py::arg("Y"), py::arg("Beq"), py::arg("Z"));
m.def("min_quad_with_fixed", []
(
const Eigen::SparseMatrix<double>& A,
const Eigen::MatrixXd& B,
const Eigen::MatrixXi& known,
const Eigen::MatrixXd& Y,
const Eigen::SparseMatrix<double>& Aeq,
const Eigen::MatrixXd& Beq,
const bool pd,
Eigen::MatrixXd& Z
)
{
assert_is_VectorX("B",B);
assert_is_VectorX("known",known);
assert_is_VectorX("Y",Y);
assert_is_VectorX("Beq",Beq);
return igl::min_quad_with_fixed(A,B,known,Y,Aeq,Beq,pd,Z);
}, __doc_igl_min_quad_with_fixed,
py::arg("A"), py::arg("B"), py::arg("known"), py::arg("Y"), py::arg("Aeq"), py::arg("Beq"), py::arg("pd"), py::arg("Z"));