Components

OpenMDAO component wrappers for Standard Evaluator.

class EvaluatorOpenMdaoComponent

Bases: ExplicitComponent

Exposes a Standard Evaluator as an OpenMDAO ExplicitComponent.

This component wraps a Standard Evaluator so it can be used within an OpenMDAO model. It maps evaluator variables to component inputs and evaluator responses to component outputs.

Methods:

__init__([evaluator])

Initialize the component and store the evaluator.

initialize()

Declare component options.

setup()

Set up component inputs and outputs from the evaluator's OptProblem.

compute(inputs, outputs[, discrete_inputs, ...])

Compute responses using the Standard evaluator.
__init__(evaluator=None, **kwargs)

Initialize the component and store the evaluator.

Parameters:

  • evaluator (Evaluator) – The Standard evaluator that will be wrapped. If None, the evaluator is created from the evaluator_options in kwargs.

  • **kwargs (dict) – Keyword arguments passed to the OpenMDAO ExplicitComponent constructor.

Raises:

  • TypeError – If evaluator is provided but is not an instance of Evaluator.

  • AttributeError – If no evaluator is provided and no evaluator_options key exists in kwargs.

initialize()

Declare component options.

Stores the evaluator information in the evaluator_options option if the evaluator has a to_dict method.

setup()

Set up component inputs and outputs from the evaluator’s OptProblem.

Maps opt_problem.variables to OpenMDAO inputs and opt_problem.responses to OpenMDAO outputs with bounds, scaling, and defaults.

Raises:

ValueError – If a response has a scale value of 0.0.

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)

Compute responses using the Standard evaluator.

Builds a DataFrame from OpenMDAO inputs, calls the evaluator, and extracts responses back to OpenMDAO outputs.

Parameters:

  • inputs (dict) – Unscaled, dimensional input variables read via inputs[key].

  • outputs (dict) – Unscaled, dimensional output variables read via outputs[key].

  • discrete_inputs (dict) – If not None, dict containing discrete input values.

  • discrete_outputs (dict) – If not None, dict containing discrete output values.

Raises:

ValueError – If discrete_inputs or discrete_outputs are provided.