o 3h@sdZddlmZddlmZmZddlmZmZm Z m Z m Z ddl m Z ddlmZmZddlmZdd lmZmZdd lmZmZerbdd lmZdd lmZed eefdGdddejZnejZdZ e dZ!Gdddee e!edZ"dS)z%RootModel class and type definitions.) annotations)copydeepcopy) TYPE_CHECKINGAnyGenericLiteralTypeVar)PydanticUndefined)Selfdataclass_transform)PydanticUserError)_model_construction_repr) BaseModel_object_setattr)Field) PrivateAttrF)kw_only_defaultfield_specifiersc@s eZdZdS)_RootModelMetaclassN)__name__ __module__ __qualname__rrN/var/www/html/chatgem/venv/lib/python3.10/site-packages/pydantic/root_model.pyrsr) RootModelRootModelRootTypec seZdZUdZdZdZdZded<fddZe fd:d d Z de _ e d;d<fdd Z d=ddZd>ddZd?ddZd;d@ddZerUddddddddddddd dAd2d3ZdBfd5d6 ZdCd8d9ZZS)Dra!!! abstract "Usage Documentation" [`RootModel` and Custom Root Types](../concepts/models.md#rootmodel-and-custom-root-types) A Pydantic `BaseModel` for the root object of the model. Attributes: root: The root object of the model. __pydantic_root_model__: Whether the model is a RootModel. __pydantic_private__: Private fields in the model. __pydantic_extra__: Extra fields in the model. TNrrootc s6|jd}|durtdddtjdi|dS)Nextraz<`RootModel` does not support setting `model_config['extra']`zroot-model-extra)coder) model_configgetrsuper__init_subclass__)clskwargsr  __class__rrr%4s zRootModel.__init_subclass__returnNonecKs0d}|r|tur td|}|jj||ddS)NTz_"RootModel.__init__" accepts either a single positional argument or arbitrary keyword arguments) self_instance)r ValueError__pydantic_validator__validate_python)selfrdata__tracebackhide__rrr__init__<szRootModel.__init__ _fields_setset[str] | Noner cstj||dS)aSCreate a new model using the provided root object and update fields set. Args: root: The root object of the model. _fields_set: The set of fields to be updated. Returns: The new model. Raises: NotImplemented: If the model is not a subclass of `RootModel`. )rr4)r$model_construct)r&rr4r(rrr6HszRootModel.model_constructdict[Any, Any]cCs|j|jdS)N__dict____pydantic_fields_set__r8r0rrr __getstate__XszRootModel.__getstate__statecCs$t|d|dt|d|ddS)Nr:r9)r)r0r=rrr __setstate__^szRootModel.__setstate__cCs:t|}||}t|dt|jt|dt|j|S)z$Returns a shallow copy of the model.r9r:)type__new__rrr9r:)r0r&mrrr__copy__bs  zRootModel.__copy__memodict[int, Any] | NonecCs>t|}||}t|dt|j|dt|dt|j|S)z!Returns a deep copy of the model.r9)rCr:)r?r@rrr9rr:)r0rCr&rArrr __deepcopy__js  zRootModel.__deepcopy__pythonF) modeincludeexcludecontextby_alias exclude_unsetexclude_defaults exclude_noneexclude_computed_fields round_tripwarningsserialize_as_anyrGLiteral['json', 'python'] | strrHrrIrJdict[str, Any] | NonerK bool | NonerLboolrMrNrOrPrQ'bool | Literal['none', 'warn', 'error']rRc CsdS)aThis method is included just to get a more accurate return type for type checkers. It is included in this `if TYPE_CHECKING:` block since no override is actually necessary. See the documentation of `BaseModel.model_dump` for more details about the arguments. Generally, this method will have a return type of `RootModelRootType`, assuming that `RootModelRootType` is not a `BaseModel` subclass. If `RootModelRootType` is a `BaseModel` subclass, then the return type will likely be `dict[str, Any]`, as `model_dump` calls are recursive. The return type could even be something different, in the case of a custom serializer. Thus, `Any` is used here to catch all of these cases. Nr) r0rGrHrIrJrKrLrMrNrOrPrQrRrrr model_dumpvszRootModel.model_dumpothercs2t|tstS|jdj|jdjkot|SNr) isinstancerNotImplemented__pydantic_fields__ annotationr$__eq__)r0rYr(rrr_s  zRootModel.__eq___repr.ReprArgsccsd|jfVdSrZ)rr;rrr __repr_args__szRootModel.__repr_args__)rrr*r+)N)rrr4r5r*r )r*r7)r=r7r*r+)r*r )rCrDr*r )rGrSrHrrIrrJrTrKrUrLrVrMrVrNrVrOrVrPrVrQrWrRrVr*r)rYrr*rV)r*r`)rrr__doc____pydantic_root_model____pydantic_private____pydantic_extra____annotations__r%r r3__pydantic_base_init__ classmethodr6r<r>rBrErrXr_ra __classcell__rrr(rr s>         r) metaclassN)#rb __future__r _annotationsrrtypingrrrrr pydantic_corer typing_extensionsr r r _internalrrmainrrfieldsrPydanticModelFieldrPydanticModelPrivateAttrModelMetaclassr__all__rrrrrrs$