gemseo / utils / derivatives

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gradient_approximator_factory module

Factory for classes derived from GradientApproximator.

class gemseo.utils.derivatives.gradient_approximator_factory.GradientApproximatorFactory[source]

Bases: BaseFactory

A factory to create gradient approximators.

In addition to the names of the classes, the factory can be queried with an ApproximationMode.

Return type:

Any

create(name, f_pointer, step=None, design_space=None, normalize=True, parallel=False, **parallel_args)[source]

Create a gradient approximator.

Parameters:

  • name (str | ApproximationMode) – The name of the class or the approximation mode.

  • f_pointer (Callable) – The pointer to the function to derive.

  • step (float | complex | ndarray | None) – The default differentiation step.

  • design_space (DesignSpace | None) – The design space containing the upper bounds of the input variables. If None, consider that the input variables are unbounded.

  • normalize (bool) –

    Whether to normalize the function.

    By default it is set to True.

  • parallel (bool) –

    Whether to differentiate the function in parallel.

    By default it is set to False.

  • **parallel_args (Any) – The parallel execution options, see gemseo.core.parallel_execution.

Returns:

The gradient approximator.

Raises:

TypeError – If the class cannot be instantiated.

Return type:

GradientApproximator

get_class(name)

Return a class from its name.

Parameters:

name (str) – The name of the class.

Returns:

The class.

Raises:

ImportError – If the class is not available.

Return type:

type[T]

get_default_option_values(name)

Return the constructor kwargs default values of a class.

Parameters:

name (str) – The name of the class.

Returns:

The mapping from the argument names to their default values.

Return type:

dict[str, str | int | float | bool]

get_default_sub_option_values(name, **options)

Return the default values of the sub options of a class.

Parameters:

  • name (str) – The name of the class.

  • **options (str) – The options to be passed to the class required to deduce the sub options.

Returns:

The JSON grammar.

Return type:

JSONGrammar

get_library_name(name)

Return the name of the library related to the name of a class.

Parameters:

name (str) – The name of the class.

Returns:

The name of the library.

Return type:

str

get_options_doc(name)

Return the constructor documentation of a class.

Parameters:

name (str) – The name of the class.

Returns:

The mapping from the argument names to their documentation.

Return type:

dict[str, str]

get_options_grammar(name, write_schema=False, schema_path='')

Return the options JSON grammar for a class.

Attempt to generate a JSONGrammar from the arguments of the __init__ method of the class.

Parameters:

  • name (str) – The name of the class.

  • write_schema (bool) –

    If True, write the JSON schema to a file.

    By default it is set to False.

  • schema_path (Path | str) –

    The path to the JSON schema file. If None, the file is saved in the current directory in a file named after the name of the class.

    By default it is set to “”.

Returns:

The JSON grammar.

Return type:

JSONGrammar

get_sub_options_grammar(name, **options)

Return the JSONGrammar of the sub options of a class.

Parameters:

  • name (str) – The name of the class.

  • **options (str) – The options to be passed to the class required to deduce the sub options.

Returns:

The JSON grammar.

Return type:

JSONGrammar

is_available(name)

Return whether a class can be instantiated.

Parameters:

name (str) – The name of the class.

Returns:

Whether the class can be instantiated.

Return type:

bool

update()

Search for the classes that can be instantiated.

The search is done in the following order:

  1. The fully qualified module names

  2. The plugin packages

  3. The packages from the environment variables

Return type:

None

PLUGIN_ENTRY_POINT: ClassVar[str] = 'gemseo_plugins'

The name of the setuptools entry point for declaring plugins.

property class_names: list[str]

The sorted names of the available classes.

failed_imports: dict[str, str]

The class names bound to the import errors.

property gradient_approximators: list[str]

The gradient approximators.