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    h                     @  s:  U d Z ddlmZ ddlZddlZddlZddlZddlmZm	Z	 ddlm
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mZ ddlZddlZddlmZ ddlmZmZmZmZmZmZmZmZmZmZ dd	lmZ dd
lmZmZ ddlm Z  ddl!m"Z"m#Z# ddl$m%Z%m&Z&m'Z'm(Z(m)Z) ddlm*Z* ej+rddl,m-Z- ddl.m/Z/ ddlm0Z0m1Z1m2Z2 ddlm3Z3m4Z4 ddl5m6Z6m7Z7 ddl8m9Z: ddl;m<Z<m=Z=m>Z> ddl;m?Z@ ejAejBeCe
f ddf ZDejEdddZFdZGdeHd< ne*ZIdZJejKZLG dd dejMdZNejOdddePddd d=d2d3ZQejOddePddd4d>d7d3ZQdddddddd8d?d<d3ZQeePZRdS )@zLogic for creating models.    )annotationsN)copydeepcopy)AnyClassVarPydanticUndefined   )
_config_decorators_fields_forward_ref	_generics_mock_val_ser_model_construction_repr_typing_extra_utils)getattr_migration)GetCoreSchemaHandlerGetJsonSchemaHandler)
ConfigDict)PydanticUndefinedAnnotationPydanticUserError)DEFAULT_REF_TEMPLATEGenerateJsonSchemaJsonSchemaModeJsonSchemaValuemodel_json_schema)PydanticDeprecatedSince20)	Signature)Path)
CoreSchemaSchemaSerializerSchemaValidator)LiteralUnpack)AbstractSetIntStrMappingIntStrAny)Protocol)ComputedFieldInfo	FieldInfoModelPrivateAttr)FieldModel	BaseModel)boundz<set[int] | set[str] | dict[int, Any] | dict[str, Any] | Noneztyping_extensions.TypeAliasIncEx)r/   create_modelc                
      s  e Zd ZU dZejrdded< 	 ded< 	 ded< ded	< d
ed< ded< ded< ded< ded< ded< ded< ded< ded< ded< ded< eddZd ed!< eddZ	d"ed#< eddZ
d ed$< ni Ze 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Zd1e_edd3d4Zedd5d6Zedd7d8Zeddd@dAZd9ddBddGdHZ dId9d9dddddd1dJ	ddWdXZ!d9d9d9dddddd1dY	dd]d^Z"ed1e#e$d_fddddeZ%eddhdiZ&ddkdlZ'edd1dmd9dnddudvZ(ed9d9d9dwdd|d}Z)ed9d9d~dddZ*ed9d9d~d ddZ+ed!ddZ,ed"ddZ-ed#ddZ.d$ddZ/d%ddZ0dd&ddZ1ejs`d' fddZ2d(ddZ3d'ddZ4d(ddZ5d)ddZ6d*ddZ7d+ddZ8ejrd,ddZ9d-ddZ:d.ddZ;d/ddZ<e=j>j?Z?e=j>j@Z@e=j>jAZAe=j>jBZBd.ddZCeeDjEdeFdd0ddĄZGeeDjEdeFddddǄZHeDjEdeFdd9d9dddddɜd1dd̄ZIeDjEdeFdd9d9ddddeJeJdΜd2ddԄZKeeDjEdeFdd3ddׄZLeeDjEdeFdd9dd9ddڜd4ddZMeeDjEdeFdd9dd9ddڜd5ddZNeeDjEdeFdd3ddZOeeDjEdeFdddddZPeDjEdeFdd9d9d9ddd6ddZQeeDjEdeFdd1e#fd7ddZReeDjEdeFdd1e#dd8ddZSeeDjEdeFdd9ddZTeeDjEd eFdd:ddZUeDjEdeFdd;ddZVeDjEdeFdd;d	d
ZWeeDjEdeFdd;ddZXeDjEdeFdd;ddZY  ZZS (<  r/   a}  Usage docs: https://docs.pydantic.dev/2.5/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[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____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__set[str]__pydantic_fields_set____pydantic_private__zXPydantic models should inherit from BaseModel, BaseModel cannot be instantiated directly	validatorzbase-model-instantiated)
val_or_sercode
serializer)__dict__rF   rD   rG   datar   returnNonec                 K  s   d}| j j|| d dS )aj  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.

        `__init__` uses `__pydantic_self__` instead of the more common `self` for the first arg to
        allow `self` as a field name.
        T)self_instanceNrA   validate_python)__pydantic_self__rM   __tracebackhide__ rU   C/var/www/html/ai/venv/lib/python3.10/site-packages/pydantic/main.py__init__   s   
zBaseModel.__init__Tdict[str, ComputedFieldInfo]c                 C  s   dd | j j D S )zGet the computed fields of this model instance.

        Returns:
            A dictionary of computed field names and their corresponding `ComputedFieldInfo` objects.
        c                 S  s   i | ]\}}||j qS rU   )info.0kvrU   rU   rV   
<dictcomp>   s    z3BaseModel.model_computed_fields.<locals>.<dictcomp>)r;   computed_fieldsitemsselfrU   rU   rV   model_computed_fields   s   zBaseModel.model_computed_fieldsc                 C     | j S )zGet extra fields set during validation.

        Returns:
            A dictionary of extra fields, or `None` if `config.extra` is not set to `"allow"`.
        )rD   ra   rU   rU   rV   model_extra   s   zBaseModel.model_extrac                 C  rd   )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.
        )rF   ra   rU   rU   rV   model_fields_set   s   zBaseModel.model_fields_setNclstype[Model]_fields_setset[str] | Nonevaluesr.   c                 K  s(  |  | }i }i }| j D ]-\}}|jr#|j|v r#||j||< q||v r/||||< q| s;|jdd||< q|du rFt| }|	| d}| j
ddkrei }| D ]\}	}
|
||	< q[n|	| t|d| t|d| | jst|d| | jr|d |S | jst|d	d |S )
aS  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.
        Behaves as if `Config.extra = 'allow'` was set since it adds all passed values

        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.
        T)call_default_factoryNextraallowrL   rF   rD   rG   )__new__r4   r`   aliaspopis_requiredget_defaultsetkeysupdater3   get_object_setattrr?   r>   model_post_init)rg   ri   rk   mfields_valuesdefaultsnamefield_extrar\   r]   rU   rU   rV   model_construct   s>   




zBaseModel.model_construct)rv   deeprb   rv   r   boolc                C  s   |r|   n|  }|rD| jddkr6| D ]\}}|| jv r'||j|< q|jdu r/i |_||j|< qn|j| |j	|
  |S )a  Usage docs: https://docs.pydantic.dev/2.5/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.
        rm   rn   N)__deepcopy____copy__r3   rw   r`   r4   rL   rD   rv   rF   ru   )rb   rv   r   copiedr\   r]   rU   rU   rV   
model_copy   s   

zBaseModel.model_copypython)	modeincludeexcludeby_aliasexclude_unsetexclude_defaultsexclude_none
round_tripwarningsr   Literal['json', 'python'] | strr   r1   r   r   r   r   r   r   r   dict[str, Any]c       	   
      C  s    | j j| |||||||||	d
S )a  Usage docs: https://docs.pydantic.dev/2.5/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 dictionary will only contain JSON serializable types.
                If mode is 'python', the dictionary may contain any Python objects.
            include: A list of fields to include in the output.
            exclude: A list of fields to exclude from the output.
            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 from the output.
            exclude_none: Whether to exclude fields that have a value of `None` from the output.
            round_trip: Whether to enable serialization and deserialization round-trip support.
            warnings: Whether to log warnings when invalid fields are encountered.

        Returns:
            A dictionary representation of the model.
        )	r   r   r   r   r   r   r   r   r   )r@   	to_python)
rb   r   r   r   r   r   r   r   r   r   rU   rU   rV   
model_dump  s   !zBaseModel.model_dump	indentr   r   r   r   r   r   r   r   r   
int | Nonestrc       	   
      C  s$   | j j| |||||||||	d
 S )aI  Usage docs: https://docs.pydantic.dev/2.5/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. Can take either a string or set of strings.
            exclude: Field(s) to exclude from the JSON output. Can take either a string or set of strings.
            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 have the default value.
            exclude_none: Whether to exclude fields that have a value of `None`.
            round_trip: Whether to use serialization/deserialization between JSON and class instance.
            warnings: Whether to show any warnings that occurred during serialization.

        Returns:
            A JSON string representation of the model.
        r   )r@   to_jsondecode)
rb   r   r   r   r   r   r   r   r   r   rU   rU   rV   model_dump_jsonA  s   zBaseModel.model_dump_json
validationref_templateschema_generatortype[GenerateJsonSchema]r   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   )rg   r   r   r   r   rU   rU   rV   r   m  s   
zBaseModel.model_json_schemaparamstuple[type[Any], ...]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$   g | ]}t |tr|nt|qS rU   )
isinstancer   r   display_as_typer[   paramrU   rU   rV   
<listcomp>  s   $ z5BaseModel.model_parametrized_name.<locals>.<listcomp>, [])
issubclasstypingGeneric	TypeErrorjoin__name__)rg   r   param_namesparams_componentrU   rU   rV   model_parametrized_name  s
   
z!BaseModel.model_parametrized_name_BaseModel__contextc                 C     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.
        NrU   )rb   r   rU   rU   rV   ry     s   zBaseModel.model_post_init   )forceraise_errors_parent_namespace_depth_types_namespacer   r   r   intr   bool | Nonec          	      C  s   |s| j rdS d| jv rt| d |dur| }n-|dkr;tj|dp%i }t| jp-i }i ||}t	|| _nt| j}t
| |}i | jddi}tj| | jtj|dd||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`.
        Nr9   r   )parent_depthdefer_buildF)check)r   types_namespace)r8   rL   delattrr   r   parent_frame_namespacer   unpack_lenient_weakvaluedictr=   build_lenient_weakvaluedictget_cls_types_namespacer3   complete_model_classr   r
   ConfigWrapper)	rg   r   r   r   r   r   frame_parent_nscls_parent_nsconfigrU   rU   rV   model_rebuild  s0   



zBaseModel.model_rebuildstrictfrom_attributescontextobjr   r   r   c                C  s   d}| j j||||dS )a  Validate a pydantic model instance.

        Args:
            obj: The object to validate.
            strict: Whether to raise an exception on invalid fields.
            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   rQ   )rg   r   r   r   r   rT   rU   rU   rV   model_validate  s   zBaseModel.model_validater   r   	json_datastr | bytes | bytearrayc                C     d}| j j|||dS )a  Usage docs: https://docs.pydantic.dev/2.5/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   )rA   validate_json)rg   r   r   r   rT   rU   rU   rV   model_validate_json  s   zBaseModel.model_validate_jsonc                C  r   )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   )rA   validate_strings)rg   r   r   r   rT   rU   rU   rV   model_validate_strings  s   z BaseModel.model_validate_strings_BaseModel__sourcetype[BaseModel]_BaseModel__handlerr   r"   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`.
        r9   origin)rL   r<   r9   )rg   r   r   rU   rU   rV   __get_pydantic_core_schema__,  s   

z&BaseModel.__get_pydantic_core_schema___BaseModel__core_schemar   r   c                 C  s   ||S )ac  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.
        rU   )rg   r   r   rU   rU   rV   __get_pydantic_json_schema__D  s   z&BaseModel.__get_pydantic_json_schema__kwargsc                 K  r   )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.
        NrU   rg   r   rU   rU   rV   __pydantic_init_subclass__]  s   z$BaseModel.__pydantic_init_subclass__typevar_values!type[Any] | tuple[type[Any], ...]3type[BaseModel] | _forward_ref.PydanticRecursiveRefc           
   	     s  t | |}|d ur|S | tu rtdt| ds t|  d| jd s2tj| jvr2t|  dt	|t
s:|f}t | | tt| jd | t    ra ra| }t | || |S | jd }|sk|}nt
 fdd|D }| jd	 p|| }||}t
d
d t   D }t ||N}	|	d ur|	W  d    S t | |||}|d ur|W  d    S z|jdd W n	 ty   Y nw t ||||}t | |||| W d    |S 1 sw   Y  |S )NzAType parameters should be placed on typing.Generic, not BaseModel__parameters__zG cannot be parametrized because it does not inherit from typing.Generic
parametersz is not a generic classargsc                 3  s    | ]	}t | V  qd S N)r   replace_types)r[   argtypevars_maprU   rV   	<genexpr>      z.BaseModel.__class_getitem__.<locals>.<genexpr>r   c                 S  s   i | ]}|d qS r   rU   r   rU   rU   rV   r^     s    z/BaseModel.__class_getitem__.<locals>.<dictcomp>   )r   )r   get_cached_generic_type_earlyr/   r   hasattrr<   r   r   	__bases__r   tuplecheck_parameters_countdictzipr   all_identicalru   rk   set_cached_generic_typer   iter_contained_typevarsgeneric_recursion_self_typeget_cached_generic_type_later   r   create_generic_submodel)
rg   r   cachedsubmodelparent_argsr   r   
model_namer   maybe_self_typerU   r   rV   __class_getitem__p  s^   

%

	
zBaseModel.__class_getitem__c                 C  s   t | }||}t|dt| j t|dt| j t|dt| j | jdu r1t|dd |S t|ddd | j D  |S )z$Returns a shallow copy of the model.rL   rD   rF   NrG   c                 S     i | ]\}}|t ur||qS rU   r   rZ   rU   rU   rV   r^         z&BaseModel.__copy__.<locals>.<dictcomp>)	typero   rx   r   rL   rD   rF   rG   r`   )rb   rg   rz   rU   rU   rV   r     s   

zBaseModel.__copy__memodict[int, Any] | Nonec                 C  s   t | }||}t|dt| j|d t|dt| j|d t|dt| j | jdu r5t|dd |S t|dtdd | j	 D |d |S )	z!Returns a deep copy of the model.rL   )r  rD   rF   NrG   c                 S  r  rU   r   rZ   rU   rU   rV   r^     r  z*BaseModel.__deepcopy__.<locals>.<dictcomp>)
r  ro   rx   r   rL   rD   r   rF   rG   r`   )rb   r  rg   rz   rU   rU   rV   r     s   

zBaseModel.__deepcopy__itemc              
     s  t | d}||v r;|| }t|dr|| t| S z| j| W S  ty: } ztt| jd||d }~ww zt | d}W n tyN   d }Y nw |d urrz|| W S  tyq } ztt| jd||d }~ww t| j	|r~t
 |S tt| jd|)Nr6   __get__ object has no attribute rD   )object__getattribute__r   r
  r  rG   KeyErrorAttributeErrorr   	__class__super)rb   r	  private_attributes	attributeexcpydantic_extrar  rU   rV   __getattr__  s4   

zBaseModel.__getattr__r}   valuec              	   C  s  || j v rt|d| jj d| jj d| dt|sI| jd u s(|| jvr0t| || d S | j| }t	|drB|
| | d S || j|< d S | || t| j|d }t|trc|
| | d S | jdd rt| j| || d S | jddkr|| jvrtd	| jj d
| d	| jddkr|| jvr| jr|| jv r|| j|< d S zt| | W n ty   || j|< Y d S w t| || d S || 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_assignmentrm   rn   "z" object has no field ")r5   r  r  r   r   is_valid_field_namerG   r6   rx   r   r  _check_frozengetattrr   propertyr3   rw   rA   r  r4   
ValueErrorre   rD   rL   rF   add)rb   r}   r  r  attrrU   rU   rV   __setattr__  sJ   






zBaseModel.__setattr__c              
   C  s   || j v r7| j | }t|dr||  d S z| j|= W d S  ty6 } ztt| jd||d }~ww | |d  || j	v rJt
| | d S | jd urZ|| jv rZ| j|= d S z	t
| | W d S  tyv   tt| jd|w )N
__delete__r  )r6   r   r%  rG   r  r  r  r   r  r4   r  __delattr__rD   )rb   r	  r  r  rU   rU   rV   r&  &  s,   




zBaseModel.__delattr__c                 C  sT   | j dd r
d}nt| j|ddrd}nd S ||f|d}tj| jj|g)Nfrozenfrozen_instanceFfrozen_fieldr  locinput)	r3   rw   r  r4   pydantic_coreValidationErrorfrom_exception_datar  r   )rb   r}   r  typerrorrU   rU   rV   r  @  s   zBaseModel._check_frozendict[Any, Any]c                 C  s0   | j }|rdd | D }| j| j| j|dS )Nc                 S  r  rU   r   rZ   rU   rU   rV   r^   Q  r  z*BaseModel.__getstate__.<locals>.<dictcomp>)rL   rD   rF   rG   )rG   r`   rL   rD   rF   )rb   privaterU   rU   rV   __getstate__N  s   zBaseModel.__getstate__statec                 C  sD   t | d|d  t | d|d  t | d|d  t | d|d  d S )NrF   rD   rG   rL   )rx   )rb   r5  rU   rU   rV   __setstate__Y  s   zBaseModel.__setstate__otherc                 C  sZ   t |tr+| jd p| j}|jd p|j}||ko*| j|jko*| j|jko*| j|jkS tS )Nr   )r   r/   r<   r  rL   rG   rD   NotImplemented)rb   r7  	self_type
other_typerU   rU   rV   __eq___  s   



zBaseModel.__eq__Unpack[ConfigDict]c                 K  r   )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.
            NrU   r   rU   rU   rV   __init_subclass__u  s    zBaseModel.__init_subclass__TupleGeneratorc                 c  s<    dd | j  D E dH  | j}|r| E dH  dS dS )zSo `dict(model)` works.c                 S  s"   g | ]\}}| d s||fqS )_)
startswithrZ   rU   rU   rV   r     s   " z&BaseModel.__iter__.<locals>.<listcomp>N)rL   r`   rD   )rb   rm   rU   rU   rV   __iter__  s   zBaseModel.__iter__c                 C  s   |    d| d dS )N(r   ))__repr_name____repr_str__ra   rU   rU   rV   __repr__  s   zBaseModel.__repr___repr.ReprArgsc                 #  s     j  D ]\}} j|}|r|jr||fV  qzt d}W n ty.   d }Y nw |d ur?dd | D E d H   fdd j D E d H  d S )NrD   c                 s  s    | ]	\}}||fV  qd S r   rU   rZ   rU   rU   rV   r     r   z*BaseModel.__repr_args__.<locals>.<genexpr>c                 3  s(    | ]\}}|j r|t |fV  qd S r   )reprr  rZ   ra   rU   rV   r     s   & )	rL   r`   r4   rw   rH  r  r  r  rc   )rb   r\   r]   r~   r  rU   ra   rV   __repr_args__  s   

"zBaseModel.__repr_args__c                 C  s
   |  dS )N )rE  ra   rU   rU   rV   __str__  s   
zBaseModel.__str__EThe `__fields__` attribute is deprecated, use `model_fields` instead.)categorydict[str, FieldInfo]c                 C     t dt | jS )NrL  )r   warnDeprecationWarningr4   ra   rU   rU   rV   
__fields__  s   zBaseModel.__fields__MThe `__fields_set__` attribute is deprecated, use `model_fields_set` instead.c                 C  rO  )NrS  )r   rP  rQ  rF   ra   rU   rU   rV   __fields_set__  s   zBaseModel.__fields_set__:The `dict` method is deprecated; use `model_dump` instead.r   r   r   r   r   r   typing.Dict[str, Any]c                C  s"   t dt | j||||||dS )NrU  rV  )r   rP  rQ  r   )rb   r   r   r   r   r   r   rU   rU   rV   r     s   zBaseModel.dict?The `json` method is deprecated; use `model_dump_json` instead.)r   r   r   r   r   r   encodermodels_as_dictrY  "typing.Callable[[Any], Any] | NonerZ  dumps_kwargsc          
      K  sN   t dt |turtd|turtd|	rtd| j||||||dS )NrX  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.rV  )r   rP  rQ  r   r   r   )
rb   r   r   r   r   r   r   rY  rZ  r\  rU   rU   rV   json  s   zBaseModel.jsonCThe `parse_obj` method is deprecated; use `model_validate` instead.c                 C     t dt | |S )Nr^  r   rP  rQ  r   rg   r   rU   rU   rV   	parse_obj     
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_picklebstr | bytesrf  
str | Nonerg  rh  DeprecatedParseProtocol | Noneri  c             
   C  s   t dt ddlm} z|j|||||d}W nB ttfyZ } z4dd l}	t	|t
r.d}
nt	||	jr7d}
n
t	|tr?d}
nd	}
t|
t|d
|d}tj| j|gd }~ww | |S )Nrd  r	   parserh  rf  rg  ri  r   zvalue_error.unicodedecodezvalue_error.jsondecodevalue_error
type_error)__root__r*  )r   rP  rQ  
deprecatedro  load_str_bytesr!  r   r]  r   UnicodeDecodeErrorJSONDecodeErrorr-  PydanticCustomErrorr   r.  r/  r   r   )rg   rj  rf  rg  rh  ri  ro  r   r  r]  type_strr1  rU   rU   rV   	parse_raw  s<   



zBaseModel.parse_rawzThe `parse_file` method is deprecated; load the data from file, then if your data is JSON use `model_validate_json`, otherwise `model_validate` instead.path
str | Pathc                C  s6   t dt ddlm} |j|||||d}| |S )NzThe `parse_file` method is deprecated; load the data from file, then if your data is JSON use `model_validate_json` otherwise `model_validate` instead.r	   rn  rp  )r   rP  rQ  rt  ro  	load_filerb  )rg   r{  rf  rg  rh  ri  ro  r   rU   rU   rV   
parse_file:  s   
zBaseModel.parse_filezqThe `from_orm` method is deprecated; set `model_config['from_attributes']=True` and use `model_validate` instead.c                 C  s0   t dt | jdd stdd d| |S )NzqThe `from_orm` method is deprecated; set `model_config["from_attributes"]=True` and use `model_validate` instead.r   zHYou must set the config attribute `from_attributes=True` to use from_ormrJ   )r   rP  rQ  r3   rw   r   r   ra  rU   rU   rV   from_ormY  s   
zBaseModel.from_ormDThe `construct` method is deprecated; use `model_construct` instead.c                 K  s    t dt | jdd|i|S )Nr  ri   rU   )r   rP  rQ  r   )rg   ri   rk   rU   rU   rV   	constructk  s   zBaseModel.constructz8The copy method is deprecated; use `model_copy` instead.)r   r   rv   r   +AbstractSetIntStr | MappingIntStrAny | Nonetyping.Dict[str, Any] | Nonec             	   C  s  t dt ddlm} t|j| dd||ddfi |pi }| jdu r'd}n
dd | j D }| j	du r9d}n)| j	
 }t| j	D ]}	|	|vrN||	 qCt|D ]}	|	| j	v ra||	||	< qS|rl| j| B }
nt| j}
|ry|
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.
        zThe `copy` method is deprecated; use `model_copy` instead. See the docstring of `BaseModel.copy` for details about how to handle `include` and `exclude`.r	   copy_internalsF)to_dictr   r   r   r   Nc                 S  r  rU   r   rZ   rU   rU   rV   r^     r  z"BaseModel.copy.<locals>.<dictcomp>)r   )r   rP  rQ  rt  r  r   _iterrG   r`   rD   r   listrq   rF   ru   rt   _copy_and_set_values)rb   r   r   rv   r   r  rk   r3  rm   r\   
fields_setrU   rU   rV   r   s  s@   $





zBaseModel.copyCThe `schema` method is deprecated; use `model_json_schema` instead.c                 C  s   t dt | j||dS )Nr  r   r   )r   rP  rQ  r   )rg   r   r   rU   rU   rV   schema  s   zBaseModel.schemaWThe `schema_json` method is deprecated; use `model_json_schema` and json.dumps instead.r  c                K  s@   dd l }tdt ddlm} |j| j||dfd|i|S )Nr   r  r	   )pydantic_encoderr  default)r]  r   rP  rQ  deprecated.jsonr  dumpsr   )rg   r   r   r\  r]  r  rU   rU   rV   schema_json  s   zBaseModel.schema_jsonBThe `validate` method is deprecated; use `model_validate` instead.c                 C  r_  )Nr  r`  )rg   r  rU   rU   rV   validate  rc  zBaseModel.validateLThe `update_forward_refs` method is deprecated; use `model_rebuild` instead.localnsc                 K  s(   t dt |rtd| jdd d S )Nr  z,`localns` arguments are not longer accepted.T)r   )r   rP  rQ  r   r   )rg   r  rU   rU   rV   update_forward_refs  s   zBaseModel.update_forward_refsHThe private method `_iter` will be removed and should no longer be used.r   c                 O  0   t dt ddlm} |j| g|R i |S )Nr  r	   r  )r   rP  rQ  rt  r  r  rb   r   r   r  rU   rU   rV   r    s   zBaseModel._iterzWThe private method `_copy_and_set_values` will be removed and should no longer be used.c                 O  r  )NzXThe private method  `_copy_and_set_values` will be removed and should no longer be used.r	   r  )r   rP  rQ  rt  r  r  r  rU   rU   rV   r    s   zBaseModel._copy_and_set_valueszMThe private method `_get_value` will be removed and should no longer be used.c                 O  r  )NzNThe private method  `_get_value` will be removed and should no longer be used.r	   r  )r   rP  rQ  rt  r  
_get_value)rg   r   r   r  rU   rU   rV   r    s
   zBaseModel._get_valueRThe private method `_calculate_keys` will be removed and should no longer be used.c                 O  r  )Nr  r	   r  )r   rP  rQ  rt  r  _calculate_keysr  rU   rU   rV   r    s
   zBaseModel._calculate_keys)rM   r   rN   rO   )rN   rX   )rN   rC   )rN   rE   r   )rg   rh   ri   rj   rk   r   rN   r.   )rb   r.   rv   rC   r   r   rN   r.   )r   r   r   r1   r   r1   r   r   r   r   r   r   r   r   r   r   r   r   rN   r   )r   r   r   r1   r   r1   r   r   r   r   r   r   r   r   r   r   r   r   rN   r   )
r   r   r   r   r   r   r   r   rN   r   )r   r   rN   r   )r   r   rN   rO   )
r   r   r   r   r   r   r   rC   rN   r   )rg   rh   r   r   r   r   r   r   r   rC   rN   r.   )
rg   rh   r   r   r   r   r   rC   rN   r.   )
rg   rh   r   r   r   r   r   rC   rN   r.   )r   r   r   r   rN   r"   )r   r"   r   r   rN   r   )r   r   rN   rO   )r   r   rN   r   )rb   r.   rN   r.   )rb   r.   r  r  rN   r.   )r	  r   rN   r   )r}   r   r  r   rN   rO   )rN   r2  )r5  r2  rN   rO   )r7  r   rN   r   )r   r<  )rN   r>  )rN   r   )rN   rG  )rN   rN  )r   r1   r   r1   r   r   r   r   r   r   r   r   rN   rW  )r   r1   r   r1   r   r   r   r   r   r   r   r   rY  r[  rZ  r   r\  r   rN   r   )rg   rh   r   r   rN   r.   )rg   rh   rj  rk  rf  rl  rg  r   rh  rm  ri  r   rN   r.   )rg   rh   r{  r|  rf  rl  rg  r   rh  rm  ri  r   rN   r.   )rb   r.   r   r  r   r  rv   r  r   r   rN   r.   )r   r   r   r   rN   rW  )r   r   r   r   r\  r   rN   r   )rg   rh   r  r   rN   r.   )r  r   rN   rO   )r   r   r   r   rN   r   )[r   
__module____qualname____doc__r   TYPE_CHECKING__annotations___FieldrD   rF   rG   r4   r   DecoratorInfosr;   r   
MockValSerrA   r@   	__slots__r   r3   r8   r?   rW   __pydantic_base_init__r   rc   re   rf   classmethodr   r   r   r   r   r   r   r   ry   r   r   r   r   r   r   r   r  r   r   r  r$  r&  r  r4  r6  r;  r=  rA  rF  rI  r   RepresentationrD  rE  
__pretty____rich_repr__rK  typing_extensionsrt  r   rR  rT  r   r   r]  rb  rz  r~  r  r  r   r  r  r  r  r  r  r  r  __classcell__rU   rU   r  rV   r/   <   s  
 	11,7@ +	/	J		)	metaclass)
__config__r  __base__r  __validators____cls_kwargs____model_namer   r  ConfigDict | Noner  rl  r  rO   r  r  dict[str, classmethod] | Noner  rC   field_definitionsr   rN   r   c                K     d S r   rU   r  r  r  r  r  r  r  r  rU   rU   rV   r2   (     r2   )r  r  r  r  r  %type[Model] | tuple[type[Model], ...]rh   c                K  r  r   rU   r  rU   rU   rV   r2   7  r  )r  r  r  r  r  r  r  ,type[Model] | tuple[type[Model], ...] | Noner  tuple[str, ...] | Nonec                K  s  |dur
t dt |dur!|durtdddt|ts |f}n
ttjd t	f}|p.i }i }	i }
|
 D ]G\}}t|sJt d| dt t|trotd	|}z|\}}W n tyn } ztd
dd|d}~ww d|}}|rz||
|< ||	|< q7|du rtd}|jd }|
|d}|r|d|i |r|| ||	 |rt|j|d< t|}tj| ||d\}}}||ur||d< || || ||fd|d|S )a+  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 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.
        __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>)` or `<name>=(<type>, <FieldInfo>)`.

    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	   r   )r  r  r  r3   )kwds__orig_bases__F)#__pydantic_reset_parent_namespace___create_model_module)r   rP  RuntimeWarningr   r   r   r   castTyper/   r`   r   r  r!  sys	_getframe	f_globalsrv   r
   r   config_dicttypesresolve_basesprepare_class)r  r  r  r  r  r  r  r  r  fieldsr   f_namef_deff_annotationf_valueef	namespaceresolved_basesmetansr  rU   rU   rV   r2   F  sz   "











)r  r   r  r  r  rl  r  rO   r  r   r  r  r  rC   r  r   rN   r   )r  r   r  r  r  rl  r  r  r  r   r  r  r  rC   r  r   rN   rh   )r  r   r  r  r  rl  r  r  r  rl  r  r  r  rC   r  r  r  r   rN   rh   )Sr  
__future__r   _annotationsr  r  r   r   r   r   r   r   r-  r  r   	_internalr
   r   r   r   r   r   r   r   r   r   
_migrationr   annotated_handlersr   r   r   r   errorsr   r   json_schemar   r   r   r   r   r   r  inspectr    pathlibr!   r"   r#   r$   r%   r&   _internal._utilsr'   r(   deprecated.parser)   DeprecatedParseProtocolr  r*   r+   r,   r-   r  	GeneratorTupler   r>  TypeVarr.   r1   r  rQ  __all__object_setattrrx   ModelMetaclassr/   overloadr   r2   r  rU   rU   rU   rV   <module>   s    0         ue