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d5d,ZZe$eYZ[dS )6zLogic for creating models.    )annotationsN)copydeepcopy)	AnyClassVarDict	GeneratorLiteralSetTupleTypeVarUnionPydanticUndefined)	TypeAlias   )
_config_decorators_fields_forward_ref	_generics_mock_val_ser_model_construction_repr_typing_extra_utils)getattr_migration)AliasChoices	AliasPath)GetCoreSchemaHandlerGetJsonSchemaHandler)
ConfigDict)PydanticUndefinedAnnotationPydanticUserError)DEFAULT_REF_TEMPLATEGenerateJsonSchemaJsonSchemaModeJsonSchemaValuemodel_json_schema)PydanticDeprecatedSince20Model	BaseModel)boundr   IncEx)	Signature)Path)
CoreSchemaSchemaSerializerSchemaValidator)Unpack)AbstractSetIntStrMappingIntStrAny)Protocol)ComputedFieldInfo	FieldInfoModelPrivateAttr)Field)r+   create_modelc                      s8  e Zd ZU dZejrded< ded< ded< ded	< d
ed< ded< ded< ded< ded< ded< ded< ded< ded< ded< ded< ded< ed d!Zd"ed#< ed d!Z	d$ed%< ed d!Z
d"ed&< n4i Zi Ze Zd'Zejd(d)d*d+Zejd(d,d*d+Zd-Ze Zd Zd Zd.d/d0d1d2Zd3e_ed"d4d5d6Zed$d4d7d8Zedd9d:d.d;d<d=d>Z d'd d?d;d"d@d;dAdBdCZ!dDd'd'd'd d d d d d3d dEdFdGdGd"d@d@d@d@d@dHd@dIdJdKdLZ"d'd'd'd'd d d d d d3d dMdNdGdGd"d@d@d@d@d@dHd@dOdPdQdRZ#ed3e$e%dSfd@dOdTdUdIdVdWdXZ&edYdOdZd[d\Z'd.d/d]d^d_Z(ed d3d`d'dad@d@dbd"dcdddedfZ)ed'd'd'dgd9d.dcdcd"d;dhdidjZ*ed'd'dkd9dldcd"d;dmdndoZ+ed'd'dkd9d.dcd"d;dpdqdrZ,edsdtdudvdwdxZ-edudydzd{d|d}Z.ed.d/d~ddZ/dddddZ0d;d;dddZ1d d;dd;dddZ2ejsdOd.d fddZ3dOd.d/dddZ4dOd.dddZ5dOd.d/dddZ6dd4ddZ7dd/dddZ8ejsd.d@dddZ9ejrddddZ:dd4ddZ;dOd4ddZ<dd4ddZ=e>j?j@Z@e>j?jAZAe>j?jBZBe>j?jCZCdOd4ddZDeeEjFdd'ddd4ddZGeeEjFdd'dd$d4ddZHeEjFdd'dd'd'd d d d ddGdGd@d@d@d@ddddZIeEjFdd'dd'd'd d d d eJeJddGdGd@d@d@d@dd@d.dOd
ddZKeeEjFdd'dd9d.d;dÜddńZLeeEjFdd'dd'dd'd dȜd9dddOdd@d;d̜dd΄ZMeeEjFdd'dd'dd'd dȜd9dddOdd@d;dќddӄZNeeEjFdd'dd9d.d;dÜddքZOeeEjFdd'ddd9d:d.d;d<ddلZPeEjFdd'dd'd'd'd dۜd;dddd@d;dޜddZQeeEjFdd'dd3e$fd@dOddddZReeEjFdd'dd3e$dd@dOd.dOdddZSeeEjFdd'dd9d.d;dddZTeeEjFdd'dd.d/dddZUeEjFdd'dd.d.d.dddZVeEjFdd'dd.d.d.dddZWeeEjFdd'dd.d.d.dddZXeEjFdd'dd.d.d.dddZY  ZZS (  r+   a}  Usage docs: https://docs.pydantic.dev/2.7/concepts/models/

    A base class for creating Pydantic models.

    Attributes:
        __class_vars__: The names of classvars defined on the model.
        __private_attributes__: Metadata about the private attributes of the model.
        __signature__: The signature for instantiating the model.

        __pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
        __pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.
        __pydantic_custom_init__: Whether the model has a custom `__init__` function.
        __pydantic_decorators__: Metadata containing the decorators defined on the model.
            This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
        __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
            __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
        __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
        __pydantic_post_init__: The name of the post-init method for the model, if defined.
        __pydantic_root_model__: Whether the model is a `RootModel`.
        __pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
        __pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

        __pydantic_extra__: An instance attribute with the values of extra fields from validation when
            `model_config['extra'] == 'allow'`.
        __pydantic_fields_set__: An instance attribute with the names of fields explicitly set.
        __pydantic_private__: Instance attribute with the values of private attributes set on the model instance.
    zClassVar[ConfigDict]model_configzClassVar[dict[str, FieldInfo]]model_fieldsz&ClassVar[dict[str, ComputedFieldInfo]]model_computed_fieldszClassVar[set[str]]__class_vars__z%ClassVar[dict[str, ModelPrivateAttr]]__private_attributes__zClassVar[Signature]__signature__zClassVar[bool]__pydantic_complete__zClassVar[CoreSchema]__pydantic_core_schema__Z__pydantic_custom_init__z$ClassVar[_decorators.DecoratorInfos]__pydantic_decorators__z+ClassVar[_generics.PydanticGenericMetadata]__pydantic_generic_metadata__zClassVar[dict[str, Any] | None]__pydantic_parent_namespace__z+ClassVar[None | Literal['model_post_init']]__pydantic_post_init____pydantic_root_model__zClassVar[SchemaSerializer]__pydantic_serializer__zClassVar[SchemaValidator]__pydantic_validator__F)initdict[str, Any] | None__pydantic_extra__zset[str]__pydantic_fields_set____pydantic_private__NzXPydantic models should inherit from BaseModel, BaseModel cannot be instantiated directlyZ	validatorzbase-model-instantiated)Z
val_or_sercode
serializer)__dict__rN   rM   rO   r   None)datareturnc                K  s   d}| j j|| d dS )a/  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.
        T)Zself_instanceNrJ   Zvalidate_python)selfrT   __tracebackhide__ rY   Z/nfs/NAS7/SABIOD/METHODE/ermites/ermites_venv/lib/python3.9/site-packages/pydantic/main.py__init__   s    	zBaseModel.__init__T)rU   c                 C  s   | j S )zGet extra fields set during validation.

        Returns:
            A dictionary of extra fields, or `None` if `config.extra` is not set to `"allow"`.
        )rM   rW   rY   rY   rZ   model_extra   s    zBaseModel.model_extrac                 C  s   | j S )zReturns the set of fields that have been explicitly set on this model instance.

        Returns:
            A set of strings representing the fields that have been set,
                i.e. that were not filled from defaults.
        )rN   r\   rY   rY   rZ   model_fields_set   s    zBaseModel.model_fields_settype[Model]zset[str] | Noner*   )cls_fields_setvaluesrU   c                 K  s  |  | }i }t }| j D ]\}}|jdurV|j|v rV||j||< || ||vr|jdurt|jt	r||jj
n|jg}|D ]f}	t|	tr|	|v r||	||< ||  qqt|	tr|	|}
|
tur|
||< ||  qq||vr||v r||||< || q| s|jdd||< q|du rD|}| jddkrhdd | D nd}t|d| t|d	| | jst|d
| | jr|d t|dr|jdur| D ] \}}||jv r||j|< qn| jst|dd |S )a_  Creates a new instance of the `Model` class with validated data.

        Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data.
        Default values are respected, but no other validation is performed.

        !!! note
            `model_construct()` generally respects the `model_config.extra` setting on the provided model.
            That is, if `model_config.extra == 'allow'`, then all extra passed values are added to the model instance's `__dict__`
            and `__pydantic_extra__` fields. If `model_config.extra == 'ignore'` (the default), then all extra passed values are ignored.
            Because no validation is performed with a call to `model_construct()`, having `model_config.extra == 'forbid'` does not result in
            an error if extra values are passed, but they will be ignored.

        Args:
            _fields_set: The set of field names accepted for the Model instance.
            values: Trusted or pre-validated data dictionary.

        Returns:
            A new instance of the `Model` class with validated data.
        NT)Zcall_default_factoryextraallowc                 S  s   i | ]\}}||qS rY   rY   .0kvrY   rY   rZ   
<dictcomp>      z-BaseModel.model_construct.<locals>.<dictcomp>rR   rN   rM   rO   )__new__setr=   itemsaliaspopaddZvalidation_alias
isinstancer   choicesstrr   Zsearch_dict_for_pathr   Zis_requiredget_defaultr<   get_object_setattrrH   rG   model_post_inithasattrrO   r@   )r`   ra   rb   mZfields_values
fields_setnamefieldZvalidation_aliasesrn   valueZ_extrarg   rh   rY   rY   rZ   model_construct   s\    









&
zBaseModel.model_construct)updatedeepbool)rW   r   r   rU   c                C  s   |r|   n|  }|r| jddkrl| D ]8\}}|| jv rN||j|< q0|jdu r^i |_||j|< q0n|j| |j	|
  |S )a  Usage docs: https://docs.pydantic.dev/2.7/concepts/serialization/#model_copy

        Returns a copy of the model.

        Args:
            update: Values to change/add in the new model. Note: the data is not validated
                before creating the new model. You should trust this data.
            deep: Set to `True` to make a deep copy of the model.

        Returns:
            New model instance.
        rc   rd   N)__deepcopy____copy__r<   ru   rm   r=   rR   rM   r   rN   keys)rW   r   r   copiedrg   rh   rY   rY   rZ   
model_copy  s    

zBaseModel.model_copypython)modeincludeexcludecontextby_aliasexclude_unsetexclude_defaultsexclude_none
round_tripwarningsserialize_as_anyzLiteral['json', 'python'] | strr-   z'bool | Literal['none', 'warn', 'error']zdict[str, Any])r   r   r   r   r   r   r   r   r   r   r   rU   c                C  s$   | j j| |||||||||	|
|dS )a  Usage docs: https://docs.pydantic.dev/2.7/concepts/serialization/#modelmodel_dump

        Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

        Args:
            mode: The mode in which `to_python` should run.
                If mode is 'json', the output will only contain JSON serializable types.
                If mode is 'python', the output may contain non-JSON-serializable Python objects.
            include: A set of fields to include in the output.
            exclude: A set of fields to exclude from the output.
            context: Additional context to pass to the serializer.
            by_alias: Whether to use the field's alias in the dictionary key if defined.
            exclude_unset: Whether to exclude fields that have not been explicitly set.
            exclude_defaults: Whether to exclude fields that are set to their default value.
            exclude_none: Whether to exclude fields that have a value of `None`.
            round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T].
            warnings: How to handle serialization errors. False/"none" ignores them, True/"warn" logs errors,
                "error" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError].
            serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.

        Returns:
            A dictionary representation of the model.
        )r   r   r   r   r   r   r   r   r   r   r   )rI   Z	to_python)rW   r   r   r   r   r   r   r   r   r   r   r   rY   rY   rZ   
model_dump5  s    &zBaseModel.model_dumpindentr   r   r   r   r   r   r   r   r   r   z
int | Noners   )r   r   r   r   r   r   r   r   r   r   r   rU   c                C  s(   | j j| |||||||||	|
|d S )a-  Usage docs: https://docs.pydantic.dev/2.7/concepts/serialization/#modelmodel_dump_json

        Generates a JSON representation of the model using Pydantic's `to_json` method.

        Args:
            indent: Indentation to use in the JSON output. If None is passed, the output will be compact.
            include: Field(s) to include in the JSON output.
            exclude: Field(s) to exclude from the JSON output.
            context: Additional context to pass to the serializer.
            by_alias: Whether to serialize using field aliases.
            exclude_unset: Whether to exclude fields that have not been explicitly set.
            exclude_defaults: Whether to exclude fields that are set to their default value.
            exclude_none: Whether to exclude fields that have a value of `None`.
            round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T].
            warnings: How to handle serialization errors. False/"none" ignores them, True/"warn" logs errors,
                "error" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError].
            serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.

        Returns:
            A JSON string representation of the model.
        r   )rI   to_jsondecode)rW   r   r   r   r   r   r   r   r   r   r   r   rY   rY   rZ   model_dump_jsonj  s    $zBaseModel.model_dump_jsonZ
validationztype[GenerateJsonSchema]r&   )r   ref_templateschema_generatorr   rU   c                 C  s   t | ||||dS )a  Generates a JSON schema for a model class.

        Args:
            by_alias: Whether to use attribute aliases or not.
            ref_template: The reference template.
            schema_generator: To override the logic used to generate the JSON schema, as a subclass of
                `GenerateJsonSchema` with your desired modifications
            mode: The mode in which to generate the schema.

        Returns:
            The JSON schema for the given model class.
        )r   r   r   r   )r(   )r`   r   r   r   r   rY   rY   rZ   r(     s    
zBaseModel.model_json_schemaztuple[type[Any], ...])paramsrU   c                 C  s>   t | tjstddd |D }d|}| j d| dS )a}  Compute the class name for parametrizations of generic classes.

        This method can be overridden to achieve a custom naming scheme for generic BaseModels.

        Args:
            params: Tuple of types of the class. Given a generic class
                `Model` with 2 type variables and a concrete model `Model[str, int]`,
                the value `(str, int)` would be passed to `params`.

        Returns:
            String representing the new class where `params` are passed to `cls` as type variables.

        Raises:
            TypeError: Raised when trying to generate concrete names for non-generic models.
        z;Concrete names should only be generated for generic models.c                 S  s$   g | ]}t |tr|nt|qS rY   )rq   rs   r   Zdisplay_as_typerf   paramrY   rY   rZ   
<listcomp>  rj   z5BaseModel.model_parametrized_name.<locals>.<listcomp>, [])
issubclasstypingGeneric	TypeErrorjoin__name__)r`   r   Zparam_namesZparams_componentrY   rY   rZ   model_parametrized_name  s
    
z!BaseModel.model_parametrized_name)_BaseModel__contextrU   c                 C  s   dS )zOverride this method to perform additional initialization after `__init__` and `model_construct`.
        This is useful if you want to do some validation that requires the entire model to be initialized.
        NrY   )rW   r   rY   rY   rZ   rw     s    zBaseModel.model_post_init   )forceraise_errors_parent_namespace_depth_types_namespaceintzbool | None)r   r   r   r   rU   c          	      C  s   |s| j rdS d| jv r"t| d |dur4| }nZ|dkrvtj|dpJi }t| jpZi }i ||}t	|| _nt| j}t
| |}i | jddi}tj| | jtj|dd||dS dS )	a1  Try to rebuild the pydantic-core schema for the model.

        This may be necessary when one of the annotations is a ForwardRef which could not be resolved during
        the initial attempt to build the schema, and automatic rebuilding fails.

        Args:
            force: Whether to force the rebuilding of the model schema, defaults to `False`.
            raise_errors: Whether to raise errors, defaults to `True`.
            _parent_namespace_depth: The depth level of the parent namespace, defaults to 2.
            _types_namespace: The types namespace, defaults to `None`.

        Returns:
            Returns `None` if the schema is already "complete" and rebuilding was not required.
            If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`.
        NrC   r   )Zparent_depthZdefer_buildF)check)r   types_namespace)rB   rR   delattrr   r   Zparent_frame_namespacer   Zunpack_lenient_weakvaluedictrF   Zbuild_lenient_weakvaluedictZget_cls_types_namespacer<   Zcomplete_model_classr   r   ConfigWrapper)	r`   r   r   r   r   r   Zframe_parent_nsZcls_parent_nsconfigrY   rY   rZ   model_rebuild  s0    



zBaseModel.model_rebuildstrictfrom_attributesr   )r`   objr   r   r   rU   c                C  s   d}| j j||||dS )a  Validate a pydantic model instance.

        Args:
            obj: The object to validate.
            strict: Whether to enforce types strictly.
            from_attributes: Whether to extract data from object attributes.
            context: Additional context to pass to the validator.

        Raises:
            ValidationError: If the object could not be validated.

        Returns:
            The validated model instance.
        Tr   rV   )r`   r   r   r   r   rX   rY   rY   rZ   model_validate  s    zBaseModel.model_validater   r   zstr | bytes | bytearray)r`   	json_datar   r   rU   c                C  s   d}| j j|||dS )a  Usage docs: https://docs.pydantic.dev/2.7/concepts/json/#json-parsing

        Validate the given JSON data against the Pydantic model.

        Args:
            json_data: The JSON data to validate.
            strict: Whether to enforce types strictly.
            context: Extra variables to pass to the validator.

        Returns:
            The validated Pydantic model.

        Raises:
            ValueError: If `json_data` is not a JSON string.
        Tr   )rJ   Zvalidate_json)r`   r   r   r   rX   rY   rY   rZ   model_validate_json+  s    zBaseModel.model_validate_json)r`   r   r   r   rU   c                C  s   d}| j j|||dS )aR  Validate the given object contains string data against the Pydantic model.

        Args:
            obj: The object contains string data to validate.
            strict: Whether to enforce types strictly.
            context: Extra variables to pass to the validator.

        Returns:
            The validated Pydantic model.
        Tr   )rJ   Zvalidate_strings)r`   r   r   r   rX   rY   rY   rZ   model_validate_stringsF  s    z BaseModel.model_validate_stringstype[BaseModel]r   r0   )sourcehandlerrU   c                C  s"   d| j v r| jd s| jS ||S )a  Hook into generating the model's CoreSchema.

        Args:
            source: The class we are generating a schema for.
                This will generally be the same as the `cls` argument if this is a classmethod.
            handler: Call into Pydantic's internal JSON schema generation.
                A callable that calls into Pydantic's internal CoreSchema generation logic.

        Returns:
            A `pydantic-core` `CoreSchema`.
        rC   origin)rR   rE   rC   )r`   r   r   rY   rY   rZ   __get_pydantic_core_schema__\  s    

z&BaseModel.__get_pydantic_core_schema__r    r'   )core_schemar   rU   c                C  s   ||S )a_  Hook into generating the model's JSON schema.

        Args:
            core_schema: A `pydantic-core` CoreSchema.
                You can ignore this argument and call the handler with a new CoreSchema,
                wrap this CoreSchema (`{'type': 'nullable', 'schema': current_schema}`),
                or just call the handler with the original schema.
            handler: Call into Pydantic's internal JSON schema generation.
                This will raise a `pydantic.errors.PydanticInvalidForJsonSchema` if JSON schema
                generation fails.
                Since this gets called by `BaseModel.model_json_schema` you can override the
                `schema_generator` argument to that function to change JSON schema generation globally
                for a type.

        Returns:
            A JSON schema, as a Python object.
        rY   )r`   r   r   rY   rY   rZ   __get_pydantic_json_schema__t  s    z&BaseModel.__get_pydantic_json_schema__)kwargsrU   c                 K  s   dS )a  This is intended to behave just like `__init_subclass__`, but is called by `ModelMetaclass`
        only after the class is actually fully initialized. In particular, attributes like `model_fields` will
        be present when this is called.

        This is necessary because `__init_subclass__` will always be called by `type.__new__`,
        and it would require a prohibitively large refactor to the `ModelMetaclass` to ensure that
        `type.__new__` was called in such a manner that the class would already be sufficiently initialized.

        This will receive the same `kwargs` that would be passed to the standard `__init_subclass__`, namely,
        any kwargs passed to the class definition that aren't used internally by pydantic.

        Args:
            **kwargs: Any keyword arguments passed to the class definition that aren't used internally
                by pydantic.
        NrY   r`   r   rY   rY   rZ   __pydantic_init_subclass__  s    z$BaseModel.__pydantic_init_subclass__z!type[Any] | tuple[type[Any], ...]z3type[BaseModel] | _forward_ref.PydanticRecursiveRef)typevar_valuesrU   c           
   	     s  t | |}|d ur|S | tu r(tdt| ds@t|  d| jd sdtj| jvrdt|  dt	|t
st|f}t | | tt| jd | t    r r| }t | || n| jd }|s|}nt
 fdd|D }| jd	 p| }||}t
d
d t   D }t ||}	|	d urJ|	W  d    S t | |||}|d urv|W  d    S z|jdd W n ty   Y n0 t ||||}t | |||| W d    n1 s0    Y  |S )NzAType parameters should be placed on typing.Generic, not BaseModel__parameters__zG cannot be parametrized because it does not inherit from typing.Generic
parametersz is not a generic classargsc                 3  s   | ]}t | V  qd S N)r   Zreplace_types)rf   argZtypevars_maprY   rZ   	<genexpr>  rj   z.BaseModel.__class_getitem__.<locals>.<genexpr>r   c                 S  s   i | ]
}|d qS r   rY   r   rY   rY   rZ   ri     rj   z/BaseModel.__class_getitem__.<locals>.<dictcomp>   )r   )r   Zget_cached_generic_type_earlyr+   r   rx   rE   r   r   	__bases__rq   tupleZcheck_parameters_countdictzipr   Zall_identicalr   rb   Zset_cached_generic_typer   Ziter_contained_typevarsZgeneric_recursion_self_typeZget_cached_generic_type_later   r"   Zcreate_generic_submodel)
r`   r   cachedZsubmodelZparent_argsr   r   Z
model_namer   Zmaybe_self_typerY   r   rZ   __class_getitem__  sP    





2zBaseModel.__class_getitem__)rW   rU   c                 C  s   t | }||}t|dt| j t|dt| j t|dt| j t| dr\| jdu rjt|dd nt|ddd | j	 D  |S )z$Returns a shallow copy of the model.rR   rM   rN   rO   Nc                 S  s   i | ]\}}|t ur||qS rY   r   re   rY   rY   rZ   ri     rj   z&BaseModel.__copy__.<locals>.<dictcomp>)
typerk   rv   r   rR   rM   rN   rx   rO   rm   )rW   r`   ry   rY   rY   rZ   r     s    
zBaseModel.__copy__zdict[int, Any] | None)rW   memorU   c                 C  s   t | }||}t|dt| j|d t|dt| j|d t|dt| j t| drd| j	du rrt|dd n$t|dtdd | j	
 D |d |S )	z!Returns a deep copy of the model.rR   )r   rM   rN   rO   Nc                 S  s   i | ]\}}|t ur||qS rY   r   re   rY   rY   rZ   ri     rj   z*BaseModel.__deepcopy__.<locals>.<dictcomp>)r   rk   rv   r   rR   rM   r   rN   rx   rO   rm   )rW   r   r`   ry   rY   rY   rZ   r     s    
zBaseModel.__deepcopy__)itemrU   c              
     s6  t | d}||v r|| }t|dr6|| t| S z| j| W S  ty } z&tt| jd||W Y d }~n
d }~0 0 nzt | d}W n ty   d }Y n0 |r z
|| W S  t y } z&tt| jd||W Y d }~n
d }~0 0 n2t| j	|rt
 |S tt| jd|d S )Nr@   __get__ object has no attribute rM   )object__getattribute__rx   r   r   rO   KeyErrorAttributeErrorr   	__class__super)rW   r   Zprivate_attributes	attributeexcpydantic_extrar   rY   rZ   __getattr__  s*    
2

2zBaseModel.__getattr__)r{   r}   rU   c              	   C  s  || j v r4t|d| jj d| jj d| dn\t|s| jd u sR|| jvr`t| || n,| j| }t	|dr|
| | n
|| j|< d S | || t| j|d }t|tr|
| | n| jdd r| j| || n| jddkr|| jvrtd	| jj d
| d	n| jddkr|| jvr| jrZ|| jv rZ|| j|< n:zt| | W n ty   || j|< Y n0 t| || n|| j|< | j| d S )Nz is a ClassVar of `zR` and cannot be set on an instance. If you want to set a value on the class, use `.z
 = value`.__set__validate_assignmentrc   rd   "z" object has no field ")r?   r   r   r   r   is_valid_field_namerO   r@   rv   rx   r   _check_frozengetattrrq   propertyr<   ru   rJ   r   r=   
ValueErrorr]   rM   rR   rN   rp   )rW   r{   r}   r   attrrY   rY   rZ   __setattr__-  sD    






zBaseModel.__setattr__c              
   C  s   || j v rz| j | }t|dr,||  d S z| j|= W d S  tyx } z&tt| jd||W Y d }~n
d }~0 0 | |d  || j	v rt
| | nZ| jd ur|| jv r| j|= n<zt
| | W n* ty   tt| jd|Y n0 d S )N
__delete__r   )r@   rx   r   rO   r   r   r   r   r   r=   r   __delattr__rM   )rW   r   r   r   rY   rY   rZ   r   X  s&    



0

zBaseModel.__delattr__c                 C  sX   | j dd rd}nt| j|ddr.d}nd S ||f|d}tj| jj|gd S )NfrozenZfrozen_instanceFZfrozen_fieldr   locinput)	r<   ru   r   r=   pydantic_coreValidationErrorfrom_exception_datar   r   )rW   r{   r}   typerrorrY   rY   rZ   r   r  s    zBaseModel._check_frozenzdict[Any, Any]c                 C  s0   | j }|rdd | D }| j| j| j|dS )Nc                 S  s   i | ]\}}|t ur||qS rY   r   re   rY   rY   rZ   ri     rj   z*BaseModel.__getstate__.<locals>.<dictcomp>)rR   rM   rN   rO   )rO   rm   rR   rM   rN   )rW   privaterY   rY   rZ   __getstate__  s    zBaseModel.__getstate__)staterU   c                 C  sD   t | d|d  t | d|d  t | d|d  t | d|d  d S )NrN   rM   rO   rR   )rv   )rW   r   rY   rY   rZ   __setstate__  s    zBaseModel.__setstate__)otherrU   c                 C  s  t |tr| jd p| j}|jd p*|j}||krXt| dd t|dd krX| j|jks\dS | j|jkrldS t| j	 }| j	 |kr|j	 |krdS |rt
j| ndd }z|| j||jkW S  ty   t| j}t|j}||||k Y S 0 ntS d S )Nr   rO   FTc                 S  s   t jS r   )r   Z	_SENTINEL_rY   rY   rZ   <lambda>  rj   z"BaseModel.__eq__.<locals>.<lambda>)rq   r+   rE   r   r   rM   rR   r   r=   r   operator
itemgetterr   r   ZSafeGetItemProxyNotImplemented)rW   r  	self_typeZ
other_typer=   getterZself_fields_proxyZother_fields_proxyrY   rY   rZ   __eq__  s.    
	zBaseModel.__eq__zUnpack[ConfigDict])r   c                 K  s   dS )a  This signature is included purely to help type-checkers check arguments to class declaration, which
            provides a way to conveniently set model_config key/value pairs.

            ```py
            from pydantic import BaseModel

            class MyModel(BaseModel, extra='allow'):
                ...
            ```

            However, this may be deceiving, since the _actual_ calls to `__init_subclass__` will not receive any
            of the config arguments, and will only receive any keyword arguments passed during class initialization
            that are _not_ expected keys in ConfigDict. (This is due to the way `ModelMetaclass.__new__` works.)

            Args:
                **kwargs: Keyword arguments passed to the class definition, which set model_config

            Note:
                You may want to override `__pydantic_init_subclass__` instead, which behaves similarly but is called
                *after* the class is fully initialized.
            NrY   r   rY   rY   rZ   __init_subclass__  s    zBaseModel.__init_subclass__TupleGeneratorc                 c  s6   dd | j  D E dH  | j}|r2| E dH  dS )zSo `dict(model)` works.c                 S  s"   g | ]\}}| d s||fqS r  )
startswithre   rY   rY   rZ   r     rj   z&BaseModel.__iter__.<locals>.<listcomp>N)rR   rm   rM   )rW   rc   rY   rY   rZ   __iter__  s    zBaseModel.__iter__c                 C  s   |    d| d dS )N(r   ))__repr_name____repr_str__r\   rY   rY   rZ   __repr__  s    zBaseModel.__repr__z_repr.ReprArgsc                 #  s    j  D ](\}} j|}|r
|jr
||fV  q
zt d}W n tyZ   d }Y n0 |d ur|dd | D E d H   fdd j D E d H  d S )NrM   c                 s  s   | ]\}}||fV  qd S r   rY   re   rY   rY   rZ   r      rj   z*BaseModel.__repr_args__.<locals>.<genexpr>c                 3  s&   | ]\}}|j r|t |fV  qd S r   )reprr   re   r\   rY   rZ   r     rj   )	rR   rm   r=   ru   r  r   r   r   r>   )rW   rg   rh   r|   r   rY   r\   rZ   __repr_args__  s    

zBaseModel.__repr_args__c                 C  s
   |  dS )N )r  r\   rY   rY   rZ   __str__	  s    zBaseModel.__str__EThe `__fields__` attribute is deprecated, use `model_fields` instead.categoryzdict[str, FieldInfo]c                 C  s   t jdtd | jS )Nr  r  )r   warnr)   r=   r\   rY   rY   rZ   
__fields__  s    zBaseModel.__fields__MThe `__fields_set__` attribute is deprecated, use `model_fields_set` instead.c                 C  s   t jdtd | jS )Nr  r  )r   r  r)   rN   r\   rY   rY   rZ   __fields_set__  s
    zBaseModel.__fields_set__:The `dict` method is deprecated; use `model_dump` instead.r   r   r   r   r   r   ztyping.Dict[str, Any])r   r   r   r   r   r   rU   c                C  s$   t jdtd | j||||||dS )Nr   r  r!  )r   r  r)   r   )rW   r   r   r   r   r   r   rY   rY   rZ   r   #  s    zBaseModel.dict?The `json` method is deprecated; use `model_dump_json` instead.)r   r   r   r   r   r   encodermodels_as_dictz"typing.Callable[[Any], Any] | None)
r   r   r   r   r   r   r#  r$  dumps_kwargsrU   c          
      K  sP   t jdtd |turtd|tur.td|	r:td| j||||||dS )Nr"  r  zMThe `encoder` argument is no longer supported; use field serializers instead.zUThe `models_as_dict` argument is no longer supported; use a model serializer instead.z9`dumps_kwargs` keyword arguments are no longer supported.r!  )r   r  r)   r   r   r   )
rW   r   r   r   r   r   r   r#  r$  r%  rY   rY   rZ   json8  s"    zBaseModel.jsonCThe `parse_obj` method is deprecated; use `model_validate` instead.)r`   r   rU   c                 C  s   t jdtd | |S )Nr'  r  r   r  r)   r   r`   r   rY   rY   rZ   	parse_objX  s    zBaseModel.parse_objThe `parse_raw` method is deprecated; if your data is JSON use `model_validate_json`, otherwise load the data then use `model_validate` instead.utf8)content_typeencodingprotoallow_picklezstr | bytes
str | NonezDeprecatedParseProtocol | None)r`   br-  r.  r/  r0  rU   c             
   C  s   t jdtd ddlm} z|j|||||d}W n ttfy } ztdd l}	t	|t
r^d}
n&t	||	jrpd}
nt	|trd	}
nd
}
t|
t|d|d}tj| j|gW Y d }~n
d }~0 0 | |S )Nr+  r  r   parser/  r-  r.  r0  r   zvalue_error.unicodedecodezvalue_error.jsondecodeZvalue_errorZ
type_error)Z__root__r   )r   r  r)   
deprecatedr4  Zload_str_bytesr   r   r&  rq   UnicodeDecodeErrorJSONDecodeErrorr   ZPydanticCustomErrorrs   r   r   r   r   )r`   r2  r-  r.  r/  r0  r4  r   r   r&  Ztype_strr   rY   rY   rZ   	parse_raw`  s8    


(zBaseModel.parse_rawThe `parse_file` method is deprecated; load the data from file, then if your data is JSON use `model_validate_json`, otherwise `model_validate` instead.z
str | Path)r`   pathr-  r.  r/  r0  rU   c                C  s8   t jdtd ddlm} |j|||||d}| |S )Nr:  r  r   r3  r5  )r   r  r)   r6  r4  Z	load_filer*  )r`   r;  r-  r.  r/  r0  r4  r   rY   rY   rZ   
parse_file  s    zBaseModel.parse_fileqThe `from_orm` method is deprecated; set `model_config['from_attributes']=True` and use `model_validate` instead.c                 C  s2   t jdtd | jdd s(tdd d| |S )Nr=  r  r   zHYou must set the config attribute `from_attributes=True` to use from_ormrP   )r   r  r)   r<   ru   r#   r   r)  rY   rY   rZ   from_orm  s    zBaseModel.from_ormDThe `construct` method is deprecated; use `model_construct` instead.c                 K  s"   t jdtd | jf d|i|S )Nr@  r  ra   )r   r  r)   r~   )r`   ra   rb   rY   rY   rZ   	construct  s    zBaseModel.constructThe `copy` method is deprecated; use `model_copy` instead. See the docstring of `BaseModel.copy` for details about how to handle `include` and `exclude`.)r   r   r   r   z+AbstractSetIntStr | MappingIntStrAny | Noneztyping.Dict[str, Any] | None)rW   r   r   r   r   rU   c             	   C  s
  t jdtd ddlm} t|j| dd||ddfi |p:i }| jdu rPd}ndd	 | j D }| j	du rtd}nR| j	
 }t| j	D ]}	|	|vr||	 qt|D ]}	|	| j	v r||	||	< q|r| j| B }
n
t| j}
|r|
t|8 }
|j| ||
|||d
S )a  Returns a copy of the model.

        !!! warning "Deprecated"
            This method is now deprecated; use `model_copy` instead.

        If you need `include` or `exclude`, use:

        ```py
        data = self.model_dump(include=include, exclude=exclude, round_trip=True)
        data = {**data, **(update or {})}
        copied = self.model_validate(data)
        ```

        Args:
            include: Optional set or mapping specifying which fields to include in the copied model.
            exclude: Optional set or mapping specifying which fields to exclude in the copied model.
            update: Optional dictionary of field-value pairs to override field values in the copied model.
            deep: If True, the values of fields that are Pydantic models will be deep-copied.

        Returns:
            A copy of the model with included, excluded and updated fields as specified.
        rB  r  r   copy_internalsF)to_dictr   r   r   r   Nc                 S  s   i | ]\}}|t ur||qS rY   r   re   rY   rY   rZ   ri     rj   z"BaseModel.copy.<locals>.<dictcomp>)r   )r   r  r)   r6  rD  r   _iterrO   rm   rM   r   listro   rN   r   rl   _copy_and_set_values)rW   r   r   r   r   rD  rb   r   rc   rg   rz   rY   rY   rZ   r     s<    #




zBaseModel.copyCThe `schema` method is deprecated; use `model_json_schema` instead.)r   r   rU   c                 C  s   t jdtd | j||dS )NrI  r  r   r   )r   r  r)   r(   )r`   r   r   rY   rY   rZ   schema  s    zBaseModel.schemaWThe `schema_json` method is deprecated; use `model_json_schema` and json.dumps instead.rJ  )r   r   r%  rU   c                K  sB   t jdtd dd l}ddlm} |j| j||dfd|i|S )NrL  r  r   r   )pydantic_encoderrJ  default)r   r  r)   r&  Zdeprecated.jsonrM  dumpsr(   )r`   r   r   r%  r&  rM  rY   rY   rZ   schema_json$  s    zBaseModel.schema_jsonBThe `validate` method is deprecated; use `model_validate` instead.)r`   r}   rU   c                 C  s   t jdtd | |S )NrQ  r  r(  )r`   r}   rY   rY   rZ   validate:  s    zBaseModel.validateLThe `update_forward_refs` method is deprecated; use `model_rebuild` instead.)localnsrU   c                 K  s*   t jdtd |rtd| jdd d S )NrS  r  z,`localns` arguments are not longer accepted.T)r   )r   r  r)   r   r   )r`   rT  rY   rY   rZ   update_forward_refsB  s    zBaseModel.update_forward_refsHThe private method `_iter` will be removed and should no longer be used.)r   r   rU   c                 O  s2   t jdtd ddlm} |j| g|R i |S )NrV  r  r   rC  )r   r  r)   r6  rD  rF  rW   r   r   rD  rY   rY   rZ   rF  P  s    zBaseModel._iterWThe private method `_copy_and_set_values` will be removed and should no longer be used.c                 O  s2   t jdtd ddlm} |j| g|R i |S )NrX  r  r   rC  )r   r  r)   r6  rD  rH  rW  rY   rY   rZ   rH  \  s    zBaseModel._copy_and_set_valuesMThe private method `_get_value` will be removed and should no longer be used.c                 O  s2   t jdtd ddlm} |j| g|R i |S )NrY  r  r   rC  )r   r  r)   r6  rD  
_get_value)r`   r   r   rD  rY   rY   rZ   rZ  i  s    zBaseModel._get_valueRThe private method `_calculate_keys` will be removed and should no longer be used.c                 O  s2   t jdtd ddlm} |j| g|R i |S )Nr[  r  r   rC  )r   r  r)   r6  rD  _calculate_keysrW  rY   rY   rZ   r\  w  s    zBaseModel._calculate_keys)N)N)N)[r   
__module____qualname____doc__r   TYPE_CHECKING__annotations___FieldrM   rN   rO   r=   r>   r   ZDecoratorInfosrD   rF   r   Z
MockValSerrJ   rI   	__slots__r!   r<   rB   rH   r[   Z__pydantic_base_init__r   r]   r^   classmethodr~   r   r   r   r$   r%   r(   r   rw   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r  r  r  r  r  r  r   ZRepresentationr  r  Z
__pretty__Z__rich_repr__r  typing_extensionsr6  r  r  r   r   r&  r*  r9  r<  r?  rA  r   rK  rP  rR  rU  rF  rH  rZ  r\  __classcell__rY   rY   r   rZ   r+   B   s  
	P(8(37@ +7 &	"/	"G				)	metaclass)
__config__r_  __base__r]  __validators____cls_kwargs__rs   zConfigDict | Noner1  rS   zdict[str, classmethod] | NonerL   r   r   )	__model_namerh  r_  ri  r]  rj  rk  field_definitionsrU   c                K  s   d S r   rY   rl  rh  r_  ri  r]  rj  rk  rm  rY   rY   rZ   r;     s    r;   )rh  r_  r]  rj  rk  z%type[Model] | tuple[type[Model], ...]r_   c                K  s   d S r   rY   rn  rY   rY   rZ   r;     s    )rh  r_  ri  r]  rj  rk  rc  z,type[Model] | tuple[type[Model], ...] | Noneztuple[str, ...] | None)
rl  rh  r_  ri  r]  rj  rk  rc  rm  rU   c                K  s  |durt dt |durB|dur0tdddt|tsV|f}nttjd t	f}|p\i }i }	i }
|
 D ]\}}t|st d| dt t|trtd	|}z|\}}W n2 ty } ztd
dd|W Y d}~n
d}~0 0 nLt|r.t|^}}}ddlm} t||s8tdddn
d| }}|rF||
|< ||	|< qn|du rntd}|jd }|
|d}|r|d|i |r|| ||	 |rt|j|d< t|}tj| ||d\}}}||ur||d< || || ||fd|d|S )a2  Usage docs: https://docs.pydantic.dev/2.7/concepts/models/#dynamic-model-creation

    Dynamically creates and returns a new Pydantic model, in other words, `create_model` dynamically creates a
    subclass of [`BaseModel`][pydantic.BaseModel].

    Args:
        __model_name: The name of the newly created model.
        __config__: The configuration of the new model.
        __doc__: The docstring of the new model.
        __base__: The base class or classes for the new model.
        __module__: The name of the module that the model belongs to;
            if `None`, the value is taken from `sys._getframe(1)`
        __validators__: A dictionary of methods that validate fields.
        __cls_kwargs__: A dictionary of keyword arguments for class creation, such as `metaclass`.
        __slots__: Deprecated. Should not be passed to `create_model`.
        **field_definitions: Attributes of the new model. They should be passed in the format:
            `<name>=(<type>, <default value>)`, `<name>=(<type>, <FieldInfo>)`, or `typing.Annotated[<type>, <FieldInfo>]`.
            Any additional metadata in `typing.Annotated[<type>, <FieldInfo>, ...]` will be ignored.

    Returns:
        The new [model][pydantic.BaseModel].

    Raises:
        PydanticUserError: If `__base__` and `__config__` are both passed.
    Nz.__slots__ should not be passed to create_modelzFto avoid confusion `__config__` and `__base__` cannot be used togetherzcreate-model-config-baser>  r*   z3fields may not start with an underscore, ignoring "r   ztuple[str, Any]z4Field definitions should be a `(<type>, <default>)`.zcreate-model-field-definitionsr   )r8   z<Field definitions should be a Annotated[<type>, <FieldInfo>]r   )ra  r]  r_  r<   )kwds__orig_bases__F)Z#__pydantic_reset_parent_namespace__Z_create_model_module)r   r  RuntimeWarningr#   rq   r   r   castTyper+   rm   r   r   r   r   Zis_annotatedre  get_argsfieldsr8   sys	_getframe	f_globalsr   r   r   Zconfig_dicttypesresolve_basesprepare_class)rl  rh  r_  ri  r]  rj  rk  rc  rm  ru  r   f_nameZf_defZf_annotationZf_valueer  r8   f	namespaceresolved_basesmetansro  rY   rY   rZ   r;     s    %


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

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)\r_  
__future__r   Z_annotationsr  rv  ry  r   r   r   r   r   r   r   r   r	   r
   r   r   r   r   re  r   r   	_internalr   r   r   r   r   r   r   r   r   r   Z
_migrationr   aliasesr   r   Zannotated_handlersr   r    r   r!   errorsr"   r#   Zjson_schemar$   r%   r&   r'   r(   r)   r*   rs   r  r   r-   ra  r`  inspectr.   pathlibr/   r0   r1   r2   r3   Z_internal._utilsr4   r5   Zdeprecated.parser6   ZDeprecatedParseProtocolru  r7   r8   r9   r:   rb  DeprecationWarning__all__Zobject_setattrrv   ZModelMetaclassr+   overloadr   r;   r   rY   rY   rY   rZ   <module>   s   ,02          M$$$u