Source code for gemseo.problems.sobieski.process.mda_jacobi

# Copyright 2021 IRT Saint Exupéry,
# 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
# 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.
"""An MDA using the Jacobi algorithm for the Sobieski's SSBJ use case."""

from __future__ import annotations

from typing import Any

from gemseo.mda.jacobi import MDAJacobi
from gemseo.problems.sobieski.core.utils import SobieskiBase
from gemseo.problems.sobieski.disciplines import create_disciplines

[docs] class SobieskiMDAJacobi(MDAJacobi): """An :class:`.MDAJacobi` for the Sobieski's SSBJ use case.""" def __init__( self, n_processes: int = 1, dtype: SobieskiBase.DataType = SobieskiBase.DataType.FLOAT, **mda_options: Any, ) -> None: """ Args: n_processes: The maximum simultaneous number of threads, if ``use_threading`` is True, or processes otherwise, used to parallelize the execution. dtype: The NumPy type for data arrays, either "float64" or "complex128". **mda_options: The options of the MDA. """ # noqa: D205 D212 super().__init__( create_disciplines(dtype), n_processes=n_processes, **mda_options )