Source code for gemseo.algos.base_driver_settings

# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
# Lesser General Public License for more details.
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"""Settings for the driver library."""

from __future__ import annotations

from pydantic import Field
from pydantic.types import NonNegativeFloat  # noqa: TC002

from gemseo.algos.base_algorithm_settings import BaseAlgorithmSettings


[docs] class BaseDriverSettings(BaseAlgorithmSettings): """The common parameters for all driver libraries.""" enable_progress_bar: bool | None = Field( default=None, description=( """Whether to enable the progress bar in the optimization log. If ``None``, use the global value of ``enable_progress_bar`` (see the ``configure`` function to change it globally).""" ), ) eq_tolerance: NonNegativeFloat = Field( default=1e-2, description="""The tolerance on the equality constraints.""", ) ineq_tolerance: NonNegativeFloat = Field( default=1e-4, description="""The tolerance on the inequality constraints.""", ) log_problem: bool = Field( default=True, description="""Whether to log the definition and result of the problem.""", ) max_time: NonNegativeFloat = Field( default=0.0, description="""The maximum runtime in seconds, disabled if 0.""", ) normalize_design_space: bool = Field( default=True, description=( """Whether to normalize the design space variables between 0 and 1.""" ), ) reset_iteration_counters: bool = Field( default=True, description=( """Whether to reset the iteration counters before each execution.""" ), ) round_ints: bool = Field( default=True, description="""Whether to round the integer variables.""", ) use_database: bool = Field( default=True, description="""Whether to wrap the functions in the database.""", ) use_one_line_progress_bar: bool = Field( default=False, description="""Whether to log the progress bar on a single line.""", ) store_jacobian: bool = Field( default=True, description="""Whether to store the Jacobian matrices in the database. This argument is ignored when the ``use_database`` option is ``False``. If a gradient-based algorithm is used, this option cannot be set along with kkt options.""", )