supaernova.configs.steps.nflow.model

source module supaernova.configs.steps.nflow.model

Classes

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

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

source class NFlowStepAnalysis(**data: Any)

Bases : AbstractStepAnalysis

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.

source class NFlowModelConfig(**data: Any)

Bases : AbstractModelConfig

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.