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py_solver.cc
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rAKA akantu
py_solver.cc
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/**
* @file py_solver.cc
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Tue Sep 29 2020
* @date last modification: Sat Mar 06 2021
*
* @brief pybind11 interface to Solver and SparseMatrix
*
*
* @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_solver.hh"
#include "py_aka_array.hh"
/* -------------------------------------------------------------------------- */
#include <model.hh>
#include <non_linear_solver.hh>
#include <sparse_matrix_aij.hh>
#include <terms_to_assemble.hh>
/* -------------------------------------------------------------------------- */
#include <pybind11/operators.h>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
/* -------------------------------------------------------------------------- */
namespace
py
=
pybind11
;
/* -------------------------------------------------------------------------- */
namespace
akantu
{
/* -------------------------------------------------------------------------- */
void
register_solvers
(
py
::
module
&
mod
)
{
py
::
class_
<
SparseMatrix
>
(
mod
,
"SparseMatrix"
)
.
def
(
"getMatrixType"
,
&
SparseMatrix
::
getMatrixType
)
.
def
(
"size"
,
&
SparseMatrix
::
size
)
.
def
(
"zero"
,
&
SparseMatrix
::
zero
)
.
def
(
"saveProfile"
,
&
SparseMatrix
::
saveProfile
)
.
def
(
"saveMatrix"
,
&
SparseMatrix
::
saveMatrix
)
.
def
(
"add"
,
[](
SparseMatrix
&
self
,
UInt
i
,
UInt
j
)
{
self
.
add
(
i
,
j
);
},
"Add entry in the profile"
)
.
def
(
"add"
,
[](
SparseMatrix
&
self
,
UInt
i
,
UInt
j
,
Real
value
)
{
self
.
add
(
i
,
j
,
value
);
},
"Add the value to the matrix"
)
.
def
(
"add"
,
[](
SparseMatrix
&
self
,
SparseMatrix
&
A
,
Real
alpha
)
{
self
.
add
(
A
,
alpha
);
},
"Add a matrix to the matrix"
,
py
::
arg
(
"A"
),
py
::
arg
(
"alpha"
)
=
1.
)
.
def
(
"__call__"
,
[](
const
SparseMatrix
&
self
,
UInt
i
,
UInt
j
)
{
return
self
(
i
,
j
);
});
py
::
class_
<
SparseMatrixAIJ
,
SparseMatrix
>
(
mod
,
"SparseMatrixAIJ"
)
.
def
(
"getIRN"
,
&
SparseMatrixAIJ
::
getIRN
)
.
def
(
"getJCN"
,
&
SparseMatrixAIJ
::
getJCN
)
.
def
(
"getA"
,
&
SparseMatrixAIJ
::
getA
);
py
::
class_
<
SolverVector
>
(
mod
,
"SolverVector"
);
py
::
class_
<
TermsToAssemble
::
TermToAssemble
>
(
mod
,
"TermToAssemble"
)
.
def
(
py
::
self
+=
Real
())
.
def_property_readonly
(
"i"
,
&
TermsToAssemble
::
TermToAssemble
::
i
)
.
def_property_readonly
(
"j"
,
&
TermsToAssemble
::
TermToAssemble
::
j
);
py
::
class_
<
TermsToAssemble
>
(
mod
,
"TermsToAssemble"
)
.
def
(
"__call__"
,
[](
TermsToAssemble
&
self
,
UInt
i
,
UInt
j
)
{
return
self
(
i
,
j
);
});
}
}
// namespace akantu
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