# Source code for gemseo.algos.linear_solvers.linear_solvers_factory

```
# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License version 3 as published by the Free Software Foundation.
#
# 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
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
# Contributors:
# INITIAL AUTHORS - API and implementation and/or documentation
# :author: Francois Gallard
# OTHER AUTHORS - MACROSCOPIC CHANGES
"""A factory to instantiate linear solvers from their class names."""
from __future__ import annotations
import logging
from typing import Any
from numpy import ndarray
from gemseo.algos.driver_factory import DriverFactory
from gemseo.algos.linear_solvers.linear_problem import LinearProblem
from gemseo.algos.linear_solvers.linear_solver_lib import LinearSolverLib
LOGGER = logging.getLogger(__name__)
[docs]class LinearSolversFactory(DriverFactory):
"""MDA factory to create the MDA from a name or a class."""
def __init__(self) -> None:
super().__init__(LinearSolverLib, "gemseo.algos.linear_solvers")
@property
def linear_solvers(self) -> list[str]:
"""The names of the available classes."""
return self.factory.classes
[docs] def is_available(self, solver_name: str) -> bool:
"""Check the availability of a LinearSolver.
Args:
solver_name: The name of the LinearSolver.
Returns:
Whether the :class:`.LinearSolver` is available.
"""
return super().is_available(solver_name)
[docs] def execute(
self,
problem: LinearProblem,
algo_name: str,
**options: Any,
) -> ndarray:
"""Execute the driver.
Find the appropriate library and execute the driver on the problem to solve
the linear system LHS.x = RHS.
Args:
problem: The linear equations and right hand side
(lhs, rhs) that defines the linear problem. XXX is a tuple expected?
algo_name: The algorithm name.
**options: The options for the algorithm,
see associated JSON file.
Returns:
The solution.
"""
lib = self.create(algo_name)
return lib.execute(problem, algo_name=algo_name, **options)
```