base_discipline module¶
The base discipline.
- class gemseo.problems.scalable.parametric.disciplines.base_discipline.BaseDiscipline(*core_discipline_parameters, **default_input_values)[source]
Bases:
MDODiscipline
Base class for the disciplines of the scalable problem.
This
MDODiscipline
relies on a GEMSEO-free core discipline.Initialize self. See help(type(self)) for accurate signature.
- Parameters:
*core_discipline_parameters (Any) – The parameters to instantiate the core discipline as
CoreDiscipline(*core_discipline_parameters)
.**default_input_values (Any) – The default values of the input variables.
- 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.
- 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}}
.
- name: str
The name of the discipline.
- output_grammar: BaseGrammar
The output grammar.
- 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.