gemseo.post.quad_approx_settings module#

Settings for post-processing.

Settings QuadApprox_Settings(*, save=True, show=False, file_path='', directory_path='', file_name='', file_extension='', fig_size=(9.0, 6.0), function, func_index=None)[source]#

Bases: BasePostSettings

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

  • save (bool) --

    By default it is set to True.

  • show (bool) --

    By default it is set to False.

  • file_path (Path | str) --

    By default it is set to "".

  • directory_path (Path | str) --

    By default it is set to "".

  • file_name (str) --

    By default it is set to "".

  • file_extension (str) --

    By default it is set to "".

  • fig_size (tuple[Annotated[float, Gt(gt=0)], Annotated[float, Gt(gt=0)]]) --

    By default it is set to (9.0, 6.0).

  • function (str)

  • func_index (Annotated[int, Ge(ge=0)] | None)

Return type:

None

func_index: NonNegativeInt | None = None#

The index of the output of interest to be defined if the function has a multidimensional output. If None and if the output is multidimensional, an error is raised.

function: str [Required]#

The function name to build the quadratic approximation.

model_post_init(context, /)#

We need to both initialize private attributes and call the user-defined model_post_init method.

Parameters:

  • self (BaseModel)

  • context (Any)

Return type:

None