2iiUdZddlmZddlZddlZddlZddlmZddl m Z ddl m Z ddlm Z mZmZmZddlmZmZdd lmZmZd d lmZmZd d lmZmZmZmZd d lm Z d dlm!Z!ddl"m#Z#ddl$m%Z%m&Z&m'Z'ddl(m)Z)m*Z*m+Z+m,Z,ddl-m.Z.ddl/m0Z0m1Z1m2Z2ddl3m4Z4ddl5m6Z6m7Z7ddl8m9Z9m:Z:ddl;mZ>m?Z?m@Z@ddlAmBZBmCZCddlDmEZEejr ddlGmHZHd dlImJZJne!ZKe eLeMeNe+e)eEfZOdePd<eQjZSGd d!eTZUed"ef#Gd$d%eZVd2d&ZWd3d'ZX d4d(ZYd5d)ZZ d6d*Z[d"d+ d7d,Z\ d8d-Z]Gd.d/ejZ_d9d0Z`d9d1Zay):z"Private logic for creating models.) annotationsN)ABCMeta)partial) FunctionType)AnyCallableGenericMapping)PydanticUndefinedSchemaSerializer)dataclass_transform deprecated)PydanticUndefinedAnnotationPydanticUserError)Field FieldInfoModelPrivateAttr PrivateAttr)create_schema_validator)PydanticDeprecatedSince20) ConfigWrapper)collect_invalid_schemassimplify_schema_referencesvalidate_core_schema)ComputedFieldInfoDecoratorInfosPydanticDescriptorProxyget_attribute_from_bases)apply_discriminators)collect_model_fieldsis_valid_field_nameis_valid_privateattr_name)GenerateSchema)PydanticGenericMetadataget_model_typevars_map) MockValSerset_model_mocks)CallbackGetCoreSchemaHandler)get_cls_types_namespace is_classvarparent_frame_namespace)ClassAttributeis_valid_identifier)ValidateCallWrapper) Signature BaseModelztuple[Any, ...] IGNORED_TYPESc$eZdZdZdfd ZxZS)_ModelNamespaceDictz{A dictionary subclass that intercepts attribute setting on model classes and warns about overriding of decorators. c|j|d}|rD||ur@t|tr0tjd|d|j j dt|!||S)N`z"` overrides an existing Pydantic `z ` decorator) get isinstancerwarningswarndecorator_infodecorator_reprsuper __setitem__)selfkvexisting __class__s ]/var/www/html/acx/venv/lib/python3.12/site-packages/pydantic/_internal/_model_construction.pyr@z_ModelNamespaceDict.__setitem__@scD) )jCZ.[ MMAaS B8CZCZCiCiBjjuv ww"1a(()rBstrrCobjectreturnNone)__name__ __module__ __qualname____doc__r@ __classcell__rEs@rFr6r6;s))rGr6T)kw_only_defaultfield_specifiersceZdZ d d fd Zej sd dZed dZd fd Z e ddZ e e deddZxZS)ModelMetaclassc |r|j|\}}} tj|||} | j|d<t || j ||} | r#t || dfd } | |d<n t|d<||d<i| | |d<| jr t||t|,||||fi|} ddl m }t| jd d  | _| j"|j"urdnd| _t'j(| | _|r|| _nt| d ij/d d t| ddxsrrt1fdDst3fdDz}dj5|Dcgc] }t7|c}}d|d}d|d}t8|vrCdj5|Dcgc]}|j:c}|gz}|d| j:d|dz }t=|dd d| _d | _| jAD]\}}|jC| ||rtEtG| _$t| dd}tK|tLr tO|}tQ| |}tS| || |tU| || d |t| | d i|| St|,||||fi|Scc}wcc}w)aMetaclass for creating Pydantic models. 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Args: namespace: The attribute dictionary of the class to be created. ignored_types: A tuple of ignore types. base_class_vars: A set of base class class variables. base_class_fields: A set of base class fields. Returns: A dict contains private attributes info. Raises: TypeError: If there is a `__root__` field in model. NameError: If private attribute name is invalid. PydanticUserError: - If a field does not have a type annotation. - If a field on base class was overridden by a non-annotated attribute. __annotations____root__zUTo define root models, use `pydantic.RootModel` rather than a field called '__root__'rWrMrN functools__zXPrivate attributes must not use dunder names; use a single underscore prefix instead of rmzJPrivate attributes must not use valid field names; use sunder names, e.g. _z instead of my_fieldz>Fields must not use names with leading underscores; e.g., use )rzField z defined on a base class was overridden by a non-annotated attribute. 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