o .ѹgW@sdZddlmZddlZddlmZmZddlmZddl m Z ddl m Z m Z dd lmZmZejradd lmZdd lmZmZmZdd lmZdd lmZedeefdGddde jZne jZdZedZ Gdddeej!e edZ"dS)z%RootModel class and type definitions.) annotationsN)copydeepcopy)PydanticUndefined)PydanticUserError)_model_construction_repr) BaseModel_object_setattr)Any)LiteralSelfdataclass_transform)Field) PrivateAttrF)Zkw_only_defaultZfield_specifiersc@s eZdZdS)_RootModelMetaclassN)__name__ __module__ __qualname__rrW/Users/admin/.pyenv/versions/3.10.0/lib/python3.10/site-packages/pydantic/root_model.pyrsr) RootModelRootModelRootTypec seZdZUdZdZdZdZded<fddZe fd8d d Z de _ e d9d:fdd Z d;ddZdddZejrUdddddddddddd d?d0d1Zd@fd3d4 ZdAd6d7ZZS)BraUsage docs: https://docs.pydantic.dev/2.10/concepts/models/#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)Z model_configgetrsuper__init_subclass__)clskwargsr __class__rrr6s zRootModel.__init_subclass__returnNonecKs0d}|r|tur td|}|jj||ddS)NTz_"RootModel.__init__" accepts either a single positional argument or arbitrary keyword arguments)Z self_instance)r ValueErrorZ__pydantic_validator__Zvalidate_python)selfrdataZ__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`. )rr*N)rmodel_construct)r rr*r"rrr,JszRootModel.model_constructdict[Any, Any]cCs|j|jdS)N__dict____pydantic_fields_set__r.r'rrr __getstate__ZszRootModel.__getstate__statecCs$t|d|dt|d|ddS)Nr0r/)r )r'r3rrr __setstate__`szRootModel.__setstate__cCs:t|}||}t|dt|jt|dt|j|S)z$Returns a shallow copy of the model.r/r0N)type__new__r rr/r0)r'r mrrr__copy__ds  zRootModel.__copy__memodict[int, Any] | NonecCs>t|}||}t|dt|j|dt|dt|j|S)z!Returns a deep copy of the model.r/)r9r0N)r5r6r rr/rr0)r'r9r r7rrr __deepcopy__ls  zRootModel.__deepcopy__pythonF) modeincludeexcludecontextby_alias exclude_unsetexclude_defaults exclude_none round_tripwarningsserialize_as_anyr=Literal['json', 'python'] | strr>r r?r@dict[str, Any] | NonerAboolrBrCrDrErF'bool | Literal['none', 'warn', 'error']rGc 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'r=r>r?r@rArBrCrDrErFrGrrr model_dumpxszRootModel.model_dumpothercs2t|tstS|jdj|jdjkot|SNr) isinstancerNotImplementedZ__pydantic_fields__ annotationr__eq__)r'rMr"rrrRs  zRootModel.__eq___repr.ReprArgsccsd|jfVdSrN)rr1rrr __repr_args__szRootModel.__repr_args__)rrr$r%)N)rrr*r+r$r)r$r-)r3r-r$r%)r$r)r9r:r$r)r=rHr>r r?r r@rIrArJrBrJrCrJrDrJrErJrFrKrGrJr$r )rMr r$rJ)r$rS)rrr__doc__Z__pydantic_root_model__Z__pydantic_private__Z__pydantic_extra____annotations__rrr)Z__pydantic_base_init__ classmethodr,r2r4r8r;typing TYPE_CHECKINGrLrRrT __classcell__rrr"rr#s<         r) metaclass)#rU __future__rZ _annotationsrXrrZ pydantic_corerr _internalrr mainr r rYr Ztyping_extensionsr rrfieldsrZPydanticModelFieldrZPydanticModelPrivateAttrZModelMetaclassr__all__TypeVarrGenericrrrrrs&