nat.data_models.common#

Attributes#

`_LT`
`TypedBaseModelT`

`HashableBaseModel`	Subclass of a Pydantic BaseModel that is hashable. Use in objects that need to be hashed for caching purposes.
`BaseModelRegistryTag`
`TypedBaseModel`	Subclass of Pydantic BaseModel that allows for specifying the object type. Use in Pydantic discriminated unions.

`subclass_depth`(→ int)	Compute a class' subclass depth.
`_get_origin_or_base`(→ type)	Get the origin of a type or the base class if it is not a generic.

class HashableBaseModel(/, **data: Any)#

Bases: pydantic.BaseModel

Subclass of a Pydantic BaseModel that is hashable. Use in objects that need to be hashed for caching purposes.

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.

_get_origin_or_base(cls: type) → type#: Get the origin of a type or the base class if it is not a generic.

class TypedBaseModel(/, **data: Any)#

Bases: pydantic.BaseModel

Subclass of Pydantic BaseModel that allows for specifying the object type. Use in Pydantic discriminated unions.

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.

model_post_init(__context)#: Set the type field to the correct value after instance creation.

classmethod model_json_schema( by_alias: bool = True, ref_template: str = '#/$defs/{model}', schema_generator: type[GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', ) → dict#: Override to provide correct default for type field in schema.