gemseo / disciplines / scenario_adapters

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mdo_objective_scenario_adapter module

A scenario adapter overwriting the local data with the optimal objective.

class gemseo.disciplines.scenario_adapters.mdo_objective_scenario_adapter.MDOObjectiveScenarioAdapter(scenario, input_names, output_names, reset_x0_before_opt=False, set_x0_before_opt=False, set_bounds_before_opt=False, cache_type=CacheType.SIMPLE, output_multipliers=False, grammar_type=GrammarType.JSON, name=None, keep_opt_history=False, opt_history_file_prefix='', scenario_log_level=None)[source]

Bases: MDOScenarioAdapter

A scenario adapter overwriting the local data with the optimal objective.

Initialize self. See help(type(self)) for accurate signature.

  • scenario (Scenario) – The scenario to adapt.

  • input_names (Sequence[str]) – The inputs to overload at sub-scenario execution.

  • output_names (Sequence[str]) – The outputs to get from the sub-scenario execution.

  • reset_x0_before_opt (bool) –

    If True, reset the initial guess before running the sub optimization.

    By default it is set to False.

  • set_x0_before_opt (bool) –

    If True, set the initial guess of the sub-scenario. This is useful for multi-start optimization.

    By default it is set to False.

  • set_bounds_before_opt (bool) –

    If True, set the bounds of the design space. This is useful for trust regions.

    By default it is set to False.

  • cache_type (MDODiscipline.CacheType) –

    The type of cache policy.

    By default it is set to “SimpleCache”.

  • output_multipliers (bool) –

    If True, the Lagrange multipliers of the scenario optimal solution are computed and added to the outputs.

    By default it is set to False.

  • grammar_type (MDODiscipline.GrammarType) –

    The type of the input and output grammars.

    By default it is set to “JSONGrammar”.

  • name (str | None) – The name of the scenario adapter. If None, use the name of the scenario adapter suffixed by "_adapter".

  • keep_opt_history (bool) –

    Whether to keep databases copies after each execution.

    By default it is set to False.

  • opt_history_file_prefix (str) –

    The base name for the databases to be exported. The full names of the databases are built from the provided base name suffixed by "_i.h5" where i is replaced by the execution number, i.e the number of stored databases. If empty, the databases are not exported. The databases can be exported only is keep_opt_history=True.

    By default it is set to “”.

  • scenario_log_level (int | None) – The level of the root logger during the scenario execution. If None, do not change the level of the root logger.


ValueError – If both reset_x0_before_opt and set_x0_before_opt are True.

cache: AbstractCache | None

The cache containing one or several executions of the discipline according to the cache policy.

data_processor: DataProcessor

A tool to pre- and post-process discipline data.

databases: list[Database]

The copies of the scenario databases after execution.

exec_for_lin: bool

Whether the last execution was due to a linearization.

input_grammar: BaseGrammar

The input grammar.

jac: MutableMapping[str, MutableMapping[str, ndarray | csr_array | JacobianOperator]]

The Jacobians of the outputs wrt inputs.

The structure is {output: {input: matrix}}.

keep_opt_history: bool

Whether to keep databases copies after each execution.

name: str

The name of the discipline.

output_grammar: BaseGrammar

The output grammar.

post_optimal_analysis: PostOptimalAnalysis

The post-optimal analysis.

re_exec_policy: ReExecutionPolicy

The policy to re-execute the same discipline.

residual_variables: dict[str, str]

The output variables mapping to their inputs, to be considered as residuals; they shall be equal to zero.

run_solves_residuals: bool

Whether the run method shall solve the residuals.

scenario: Scenario

The scenario to be adapted.