supaernova.configs.configs

source module supaernova.configs.configs

Classes

• CallbackFunc

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

Functions

• callback

• deepmerge

source class CallbackFunc[Instance: Any, Returns]()

Bases : Protocol

source callback[Instance: Any, Returns](fn: CallbackFunc[Instance, Returns]) → Callable[..., Returns]

source deepmerge(d1, d2)

source class SNPAEConfig(**data: Any)

Bases : BaseModel

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.

Attributes

• model_extra : dict[str, Any] | None — Get extra fields set during validation.

• model_fields_set : set[str] — Returns the set of fields that have been explicitly set on this model instance.

Methods

• get_name

• set_name

• validate_callbacks

• from_config

• default_config

• save

• normalise_input

• extend_input

source classmethod SNPAEConfig.get_name(data: Any) → Any

source method SNPAEConfig.set_name() → Self

source method SNPAEConfig.validate_callbacks() → Self

source classmethod SNPAEConfig.from_config(input_config: dict[str, Any]) → Self

source classmethod SNPAEConfig.default_config(input_config: dict[str, Any]) → dict[str, Any]

source method SNPAEConfig.save() → None

source staticmethod SNPAEConfig.normalise_input(input_config: dict[str, Any]) → dict[str, Any]

source staticmethod SNPAEConfig.extend_input(input_config: dict[str, Any], *, base_path: Path | None = None, key: str | None = None) → dict[str, Any]

Raises

• ValidationError