Source code for gemseo.problems.scalable.parametric.disciplines.base_discipline

# 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 - initial API and implementation and/or initial
#                         documentation
#        :author: Matthias De Lozzo
#    OTHER AUTHORS   - MACROSCOPIC CHANGES
"""The base discipline."""

from __future__ import annotations

from typing import TYPE_CHECKING
from typing import Any

from gemseo.core.discipline import MDODiscipline

if TYPE_CHECKING:
    from gemseo.problems.scalable.parametric.core.disciplines.base_discipline import (
        BaseDiscipline as _BaseDiscipline,
    )


[docs] class BaseDiscipline(MDODiscipline): """Base class for the disciplines of the scalable problem. This :class:`.MDODiscipline` relies on a |g|-free core discipline. """ _CORE_DISCIPLINE_CLASS: type[_BaseDiscipline] """The class of the core discipline.""" _discipline: _CORE_DISCIPLINE_CLASS # noqa: F821 """The core discipline.""" def __init__( self, *core_discipline_parameters: Any, **default_input_values: Any, ) -> None: """ Args: *core_discipline_parameters: The parameters to instantiate the core discipline as ``CoreDiscipline(*core_discipline_parameters)``. **default_input_values: The default values of the input variables. """ # noqa: D205 D212 self._discipline = self._CORE_DISCIPLINE_CLASS( *core_discipline_parameters, **default_input_values ) super().__init__(self._discipline.name) self.input_grammar.update_from_names(self._discipline.input_names) self.output_grammar.update_from_names(self._discipline.output_names) self.default_inputs = default_input_values