o }j6h@sdZddlmZddlZddlmZmZddlmZddl m Z ddl m Z m Z dd lmZmZejradd lmZmZdd lmZmZdd lmZdd lmZedeefdGddde jZne jZdZedZ Gdddeej!e edZ"dS)z%RootModel class and type definitions.) annotationsN)copydeepcopy)PydanticUndefined)PydanticUserError)_model_construction_repr) BaseModel_object_setattr)AnyLiteral)Selfdataclass_transform)Field) PrivateAttrF)kw_only_defaultfield_specifiersc@s eZdZdS)_RootModelMetaclassN)__name__ __module__ __qualname__rrb/var/www/html/chefvision.cloud.itp360.com/venv/lib/python3.10/site-packages/pydantic/root_model.pyrsr) RootModelRootModelRootTypec seZdZUdZdZdZdZded<fddZe fd9d d Z de _ e d:d;fdd Z dddZd:d?ddZejrUdddddddddddd d@d1d2ZdAfd4d5 ZdBd7d8ZZS)Cra!!! 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"7s 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] | Nonercstj||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`. )rr1)r!model_construct)r#rr1r%rrr3KszRootModel.model_constructdict[Any, Any]cCs|j|jdS)N__dict____pydantic_fields_set__r5r-rrr __getstate__[szRootModel.__getstate__statecCs$t|d|dt|d|ddS)Nr7r6)r )r-r:rrr __setstate__aszRootModel.__setstate__cCs:t|}||}t|dt|jt|dt|j|S)z$Returns a shallow copy of the model.r6r7)type__new__r rr6r7)r-r#mrrr__copy__es  zRootModel.__copy__memodict[int, Any] | NonecCs>t|}||}t|dt|j|dt|dt|j|S)z!Returns a deep copy of the model.r6)r@r7)r<r=r rr6rr7)r-r@r#r>rrr __deepcopy__ms  zRootModel.__deepcopy__pythonF) modeincludeexcludecontextby_alias exclude_unsetexclude_defaults exclude_none round_tripwarningsserialize_as_anyrDLiteral['json', 'python'] | strrEr rFrGdict[str, Any] | NonerH bool | NonerIboolrJrKrLrM'bool | Literal['none', 'warn', 'error']rNc 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) r-rDrErFrGrHrIrJrKrLrMrNrrr model_dumpyszRootModel.model_dumpothercs2t|tstS|jdj|jdjkot|SNr) isinstancerNotImplemented__pydantic_fields__ annotationr!__eq__)r-rUr%rrr[s  zRootModel.__eq___repr.ReprArgsccsd|jfVdSrV)rr8rrr __repr_args__szRootModel.__repr_args__)rrr'r()N)rrr1r2r'r)r'r4)r:r4r'r()r'r)r@rAr'r)rDrOrEr rFr rGrPrHrQrIrRrJrRrKrRrLrRrMrSrNrRr'r )rUr r'rR)r'r\)rrr__doc____pydantic_root_model____pydantic_private____pydantic_extra____annotations__r"rr0__pydantic_base_init__ classmethodr3r9r;r?rBtyping TYPE_CHECKINGrTr[r] __classcell__rrr%rr#s<         r) metaclass)#r^ __future__r _annotationsrerr pydantic_corerr _internalrr mainr r rfr r typing_extensionsrrfieldsrPydanticModelFieldrPydanticModelPrivateAttrModelMetaclassr__all__TypeVarrGenericrrrrrs&