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 ddlmZ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/m0Z0 ddlm1Z1m2Z2m3Z3 ddlm4Z4m5Z5 ddl6m7Z7m8Z8 ddl9m:Z; ddl<m=Z=m>Z>m?Z? ddl<m@ZA ejBejCeDef ddf ZEejFdddZGdZHdeId< ne+ZJdZKejLZMG dd dejNdZOejPdddeQddd d=d2d3ZRejPddeQddd4d>d7d3ZRdddddddd8d?d<d3ZReeQZSd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rid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$ed%< ed d!Z
d"ed&< ni Zi Ze Zd'Zejd(d)d*d+Zejd(d,d*d+Zd-Ze Zd Zd Zdd2d3Zd4e_edd5d6Zedd7d8Zeddd?d@Z d'd dAddFdGZ!dHd'd'd d d d d d4dI	ddVdWZ"d'd'd'd d d d d d4dX	dd\d]Z#ed4e$e%d^fddcddZ&eddgdhZ'ddjdkZ(ed d4dld'dmddtduZ)ed'd'd'dvdd{d|Z*ed'd'd}dddZ+ed'd'd}dddZ,edddZ-ed ddZ.ed!ddZ/d"ddZ0d#ddZ1dd$ddZ2ejsad% fddZ3d&ddZ4d%ddZ5d&ddZ6d'ddZ7d(ddZ8d)ddZ9ejrd*ddZ:d+ddZ;d,ddZ<d-ddZ=e>j?j@Z@e>j?jAZAe>j?jBZBe>j?jCZCd,ddZDeeEjFdd'dd.ddÄZGeeEjFdd'ddddƄZHeEjFdd'dd'd'd d d d dȜd/dd˄ZIeEjFdd'dd'd'd d d d eJeJd͜d0ddӄZKeeEjFdd'dd1ddքZLeeEjFdd'dd'dd'd dٜd2ddZMeeEjFdd'dd'dd'd dٜd3ddZNeeEjFdd'dd1ddZOeeEjFdd'dddddZPeEjFdd'dd'd'd'd dd4ddZQeeEjFdd'dd4e$fd5ddZReeEjFdd'dd4e$dd6ddZSeeEjFdd'dd7ddZTeeEjFdd'dd8ddZUeEjFdd'dd9ddZVeEjFdd'dd9dd	ZWeeEjFd
d'dd9ddZXeEjFdd'dd9ddZY  ZZS (:  r/   a}  Usage docs: https://docs.pydantic.dev/2.6/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____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__NzXPydantic models should inherit from BaseModel, BaseModel cannot be instantiated directly	validatorzbase-model-instantiated)
val_or_sercode
serializer)__dict__rG   rE   rH   datar   returnNonec                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)self_instanceNrB   validate_python)selfrN   __tracebackhide__ rV   F/home/ertert/spirit/venv/lib/python3.10/site-packages/pydantic/main.py__init__   s   	zBaseModel.__init__Tc                 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"`.
        )rE   rT   rV   rV   rW   model_extra   s   zBaseModel.model_extrac                 C  rY   )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.
        )rG   rZ   rV   rV   rW   model_fields_set   s   zBaseModel.model_fields_setclstype[Model]_fields_setset[str] | Nonevaluesr.   c                 K  sf  |  | }i }t }| j D ]7\}}|jr)|j|v r)||j||< || q||v r:||||< || q| sF|jdd||< q|du rM|}d}| j	
ddkrgi }| D ]\}	}
|
||	< q]n|| t|d| t|d| | jst|d| | jr|d t|d	r|jdur| D ]\}	}
|	|jv r|
|j|	< q|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allowrM   rG   rE   rH   )__new__setr4   itemsaliaspopaddis_requiredget_defaultr3   getupdate_object_setattrr@   r?   model_post_inithasattrrH   r7   )r]   r_   ra   mfields_values
fields_setnamefield_extrakvrV   rV   rW   model_construct   sJ   





zBaseModel.model_construct)rn   deeprT   rn   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/2.6/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__r3   rm   rg   r4   rM   rE   rn   rG   keys)rT   rn   r{   copiedrx   ry   rV   rV   rW   
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/2.6/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 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.
            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: 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   )rA   	to_python)
rT   r   r   r   r   r   r   r   r   r   rV   rV   rW   
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 )a  Usage docs: https://docs.pydantic.dev/2.6/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.
            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: Whether to log warnings when invalid fields are encountered.

        Returns:
            A JSON string representation of the model.
        r   )rA   to_jsondecode)
rT   r   r   r   r   r   r   r   r   r   rV   rV   rW   model_dump_jsonG  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   )r]   r   r   r   r   rV   rV   rW   r   s  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$   g | ]}t |tr|nt|qS rV   )
isinstancer   r   display_as_type.0paramrV   rV   rW   
<listcomp>  s   $ z5BaseModel.model_parametrized_name.<locals>.<listcomp>, [])
issubclasstypingGeneric	TypeErrorjoin__name__)r]   r   param_namesparams_componentrV   rV   rW   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.
        NrV   )rT   r   rV   rV   rW   rp     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`.
        Nr:   r   )parent_depthdefer_buildF)check)r   types_namespace)r9   rM   delattrr   r   parent_frame_namespacer   unpack_lenient_weakvaluedictr>   build_lenient_weakvaluedictget_cls_types_namespacer3   complete_model_classr   r
   ConfigWrapper)	r]   r   r   r   r   r   frame_parent_nscls_parent_nsconfigrV   rV   rW   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 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   rR   )r]   r   r   r   r   rU   rV   rV   rW   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/2.6/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   )rB   validate_json)r]   r   r   r   rU   rV   rV   rW   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   )rB   validate_strings)r]   r   r   r   rU   rV   rV   rW   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`.
        r:   origin)rM   r=   r:   )r]   r   r   rV   rV   rW   __get_pydantic_core_schema__2  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.
        rV   )r]   r   r   rV   rV   rW   __get_pydantic_json_schema__J  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.
        NrV   r]   r   rV   rV   rW   __pydantic_init_subclass__c  s   z$BaseModel.__pydantic_init_subclass__typevar_values!type[Any] | tuple[type[Any], ...]3type[BaseModel] | _forward_ref.PydanticRecursiveRefc           
   	     s  t | |}|d ur|S | tu rtdt| ds t|  d| jd s2tj| jvr2t|  dt	|t
s:|f}t | | tt| jd | t    ra ra| }t | || |S | jd }|sk|}nt
 fdd|D }| jd	 p|| }||}t
d
d t   D }t ||N}	|	d ur|	W  d    S t | |||}|d ur|W  d    S z|jdd W n	 ty   Y nw t ||||}t | |||| W d    |S 1 sw   Y  |S )NzAType parameters should be placed on typing.Generic, not BaseModel__parameters__zG cannot be parametrized because it does not inherit from typing.Generic
parametersz is not a generic classargsc                 3  s    | ]	}t | V  qd S N)r   replace_types)r   argtypevars_maprV   rW   	<genexpr>      z.BaseModel.__class_getitem__.<locals>.<genexpr>r   c                 S  s   i | ]}|d qS r   rV   r   rV   rV   rW   
<dictcomp>  s    z/BaseModel.__class_getitem__.<locals>.<dictcomp>   )r   )r   get_cached_generic_type_earlyr/   r   rq   r=   r   r   	__bases__r   tuplecheck_parameters_countdictzipr   all_identicalr   ra   set_cached_generic_typer   iter_contained_typevarsgeneric_recursion_self_typeget_cached_generic_type_later   r   create_generic_submodel)
r]   r   cachedsubmodelparent_argsr   r   
model_namer   maybe_self_typerV   r   rW   __class_getitem__v  s^   

%

	
zBaseModel.__class_getitem__c                 C  s   t | }||}t|dt| j t|dt| j t|dt| j | jdu r1t|dd |S t|ddd | j D  |S )z$Returns a shallow copy of the model.rM   rE   rG   NrH   c                 S     i | ]\}}|t ur||qS rV   r   r   rx   ry   rV   rV   rW   r         z&BaseModel.__copy__.<locals>.<dictcomp>)	typere   ro   r   rM   rE   rG   rH   rg   )rT   r]   rr   rV   rV   rW   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.rM   )r  rE   rG   NrH   c                 S  r   rV   r   r  rV   rV   rW   r     r  z*BaseModel.__deepcopy__.<locals>.<dictcomp>)
r  re   ro   r   rM   rE   r   rG   rH   rg   )rT   r  r]   rr   rV   rV   rW   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|)Nr7   __get__ object has no attribute rE   )object__getattribute__rq   r  r  rH   KeyErrorAttributeErrorr   	__class__super)rT   r  private_attributes	attributeexcpydantic_extrar  rV   rW   __getattr__  s4   

zBaseModel.__getattr__ru   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_assignmentrc   rd   "z" object has no field ")r6   r  r  r   r   is_valid_field_namerH   r7   ro   rq   r  _check_frozengetattrr   propertyr3   rm   rB   r  r4   
ValueErrorr[   rE   rM   rG   rj   )rT   ru   r  r  attrrV   rV   rW   __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  )r7   rq   r!  rH   r  r  r  r   r  r4   r	  __delattr__rE   )rT   r  r  r  rV   rV   rW   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   rm   r  r4   pydantic_coreValidationErrorfrom_exception_datar  r   )rT   ru   r  typerrorrV   rV   rW   r  F  s   zBaseModel._check_frozendict[Any, Any]c                 C  s0   | j }|rdd | D }| j| j| j|dS )Nc                 S  r   rV   r   r  rV   rV   rW   r   W  r  z*BaseModel.__getstate__.<locals>.<dictcomp>)rM   rE   rG   rH   )rH   rg   rM   rE   rG   )rT   privaterV   rV   rW   __getstate__T  s   zBaseModel.__getstate__statec                 C  sD   t | d|d  t | d|d  t | d|d  t | d|d  d S )NrG   rE   rH   rM   )ro   )rT   r1  rV   rV   rW   __setstate___  s   zBaseModel.__setstate__otherc                 C  s   t |trz| jd p| j}|jd p|j}||kr%| j|jkr%| j|jks'dS | j|jkr/dS t| j	 }| j	 |krF|j	 |krFdS |rMt
j| ndd }z|| j||jkW S  tyy   t| j}t|j}||||k Y S w tS )Nr   FTc                 S  s   t jS r   )r   	_SENTINEL_rV   rV   rW   <lambda>  s    z"BaseModel.__eq__.<locals>.<lambda>)r   r/   r=   r  rH   rE   rM   r  r4   r   operator
itemgetterr  r   SafeGetItemProxyNotImplemented)rT   r3  	self_type
other_typer4   getterself_fields_proxyother_fields_proxyrV   rV   rW   __eq__e  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.
            NrV   r   rV   rV   rW   __init_subclass__  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 r5  )
startswithr  rV   rV   rW   r     s   " z&BaseModel.__iter__.<locals>.<listcomp>N)rM   rg   rE   )rT   rc   rV   rV   rW   __iter__  s   zBaseModel.__iter__c                 C  s   |    d| d dS )N(r   ))__repr_name____repr_str__rZ   rV   rV   rW   __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 )NrE   c                 s  s    | ]	\}}||fV  qd S r   rV   r  rV   rV   rW   r     r   z*BaseModel.__repr_args__.<locals>.<genexpr>c                 3  s(    | ]\}}|j r|t |fV  qd S r   )reprr  r  rZ   rV   rW   r     s   & )	rM   rg   r4   rm   rM  r	  r
  r  r5   )rT   rx   ry   rv   r  rV   rZ   rW   __repr_args__  s   

"zBaseModel.__repr_args__c                 C  s
   |  dS )N )rJ  rZ   rV   rV   rW   __str__  s   
zBaseModel.__str__EThe `__fields__` attribute is deprecated, use `model_fields` instead.categorydict[str, FieldInfo]c                 C     t jdtd | jS )NrQ  rR  )r   warnr   r4   rZ   rV   rV   rW   
__fields__  s   zBaseModel.__fields__MThe `__fields_set__` attribute is deprecated, use `model_fields_set` instead.c                 C  rU  )NrX  rR  )r   rV  r   rG   rZ   rV   rV   rW   __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 jdtd | j||||||dS )NrZ  rR  r[  )r   rV  r   r   )rT   r   r   r   r   r   r   rV   rV   rW   r     s   zBaseModel.dict?The `json` method is deprecated; use `model_dump_json` instead.)r   r   r   r   r   r   encodermodels_as_dictr^  "typing.Callable[[Any], Any] | Noner_  dumps_kwargsc          
      K  sP   t jdtd |turtd|turtd|	rtd| j||||||dS )Nr]  rR  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   rV  r   r   r   r   )
rT   r   r   r   r   r   r   r^  r_  ra  rV   rV   rW   json
  s"   zBaseModel.jsonCThe `parse_obj` method is deprecated; use `model_validate` instead.c                 C     t jdtd | |S )Nrc  rR  r   rV  r   r   r]   r   rV   rV   rW   	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 | bytesrk  
str | Nonerl  rm  DeprecatedParseProtocol | Nonern  c             
   C  s   t jdtd ddlm} z|j|||||d}W nB ttfy[ } z4dd l}	t	|t
r/d}
nt	||	jr8d}
n
t	|tr@d	}
nd
}
t|
t|d|d}tj| j|gd }~ww | |S )Nri  rR  r	   parserm  rk  rl  rn  r   zvalue_error.unicodedecodezvalue_error.jsondecodevalue_error
type_error)__root__r&  )r   rV  r   
deprecatedrt  load_str_bytesr  r   rb  r   UnicodeDecodeErrorJSONDecodeErrorr)  PydanticCustomErrorr   r*  r+  r   r   )r]   ro  rk  rl  rm  rn  rt  r   r  rb  type_strr-  rV   rV   rW   	parse_raw2  s<   



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.path
str | Pathc                C  s8   t jdtd ddlm} |j|||||d}| |S )Nr  rR  r	   rs  ru  )r   rV  r   ry  rt  	load_filerg  )r]   r  rk  rl  rm  rn  rt  r   rV   rV   rW   
parse_fileg  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  rR  r   zHYou must set the config attribute `from_attributes=True` to use from_ormrK   )r   rV  r   r3   rm   r   r   rf  rV   rV   rW   from_orm  s   
zBaseModel.from_ormDThe `construct` method is deprecated; use `model_construct` instead.c                 K  s"   t jdtd | jdd|i|S )Nr  rR  r_   rV   )r   rV  r   rz   )r]   r_   ra   rV   rV   rW   	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   rn   r{   +AbstractSetIntStr | MappingIntStrAny | Nonetyping.Dict[str, Any] | Nonec             	   C  s
  t jdtd 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 r:d}n)| j	
 }t| j	D ]}	|	|vrO||	 qDt|D ]}	|	| j	v rb||	||	< qT|rm| j| B }
nt| j}
|rz|
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.
        r  rR  r	   copy_internalsF)to_dictr   r   r   r   Nc                 S  r   rV   r   r  rV   rV   rW   r     r  z"BaseModel.copy.<locals>.<dictcomp>)r{   )r   rV  r   ry  r  r   _iterrH   rg   rE   r   listri   rG   r   rf   _copy_and_set_values)rT   r   r   rn   r{   r  ra   r/  rc   rx   rt   rV   rV   rW   r     s@   #





zBaseModel.copyCThe `schema` method is deprecated; use `model_json_schema` instead.c                 C  s   t jdtd | j||dS )Nr  rR  r   r   )r   rV  r   r   )r]   r   r   rV   rV   rW   schema  s   zBaseModel.schemaWThe `schema_json` method is deprecated; use `model_json_schema` and json.dumps instead.r  c                K  sB   t jdtd dd l}ddlm} |j| j||dfd|i|S )Nr  rR  r   r	   )pydantic_encoderr  default)r   rV  r   rb  deprecated.jsonr  dumpsr   )r]   r   r   ra  rb  r  rV   rV   rW   schema_json  s   zBaseModel.schema_jsonBThe `validate` method is deprecated; use `model_validate` instead.c                 C  rd  )Nr  rR  re  )r]   r  rV   rV   rW   validate  rh  zBaseModel.validateLThe `update_forward_refs` method is deprecated; use `model_rebuild` instead.localnsc                 K  s*   t jdtd |rtd| jdd d S )Nr  rR  z,`localns` arguments are not longer accepted.T)r   )r   rV  r   r   r   )r]   r  rV   rV   rW   update_forward_refs  s   zBaseModel.update_forward_refsHThe private method `_iter` will be removed and should no longer be used.r   c                 O  2   t jdtd ddlm} |j| g|R i |S )Nr  rR  r	   r  )r   rV  r   ry  r  r  rT   r   r   r  rV   rV   rW   r  "  s   zBaseModel._iterWThe private method `_copy_and_set_values` will be removed and should no longer be used.c                 O  r  )Nr  rR  r	   r  )r   rV  r   ry  r  r  r  rV   rV   rW   r  .     zBaseModel._copy_and_set_valuesMThe private method `_get_value` will be removed and should no longer be used.c                 O  r  )Nr  rR  r	   r  )r   rV  r   ry  r  
_get_value)r]   r   r   r  rV   rV   rW   r  ;  s   zBaseModel._get_valueRThe private method `_calculate_keys` will be removed and should no longer be used.c                 O  r  )Nr  rR  r	   r  )r   rV  r   ry  r  _calculate_keysr  rV   rV   rW   r  I  r  zBaseModel._calculate_keys)rN   r   rO   rP   )rO   rD   )rO   rF   r   )r]   r^   r_   r`   ra   r   rO   r.   )rT   r.   rn   rD   r{   r|   rO   r.   )r   r   r   r1   r   r1   r   r|   r   r|   r   r|   r   r|   r   r|   r   r|   rO   r   )r   r   r   r1   r   r1   r   r|   r   r|   r   r|   r   r|   r   r|   r   r|   rO   r   )
r   r|   r   r   r   r   r   r   rO   r   )r   r   rO   r   )r   r   rO   rP   )
r   r|   r   r|   r   r   r   rD   rO   r   )r]   r^   r   r   r   r   r   r   r   rD   rO   r.   )
r]   r^   r   r   r   r   r   rD   rO   r.   )
r]   r^   r   r   r   r   r   rD   rO   r.   )r   r   r   r   rO   r"   )r   r"   r   r   rO   r   )r   r   rO   rP   )r   r   rO   r   )rT   r.   rO   r.   )rT   r.   r  r  rO   r.   )r  r   rO   r   )ru   r   r  r   rO   rP   )rO   r.  )r1  r.  rO   rP   )r3  r   rO   r|   )r   rB  )rO   rD  )rO   r   )rO   rL  )rO   rT  )r   r1   r   r1   r   r|   r   r|   r   r|   r   r|   rO   r\  )r   r1   r   r1   r   r|   r   r|   r   r|   r   r|   r^  r`  r_  r|   ra  r   rO   r   )r]   r^   r   r   rO   r.   )r]   r^   ro  rp  rk  rq  rl  r   rm  rr  rn  r|   rO   r.   )r]   r^   r  r  rk  rq  rl  r   rm  rr  rn  r|   rO   r.   )rT   r.   r   r  r   r  rn   r  r{   r|   rO   r.   )r   r|   r   r   rO   r\  )r   r|   r   r   ra  r   rO   r   )r]   r^   r  r   rO   r.   )r  r   rO   rP   )r   r   r   r   rO   r   )[r   
__module____qualname____doc__r   TYPE_CHECKING__annotations___FieldrE   rG   rH   r4   r5   r   DecoratorInfosr<   r>   r   
MockValSerrB   rA   	__slots__r   r3   r9   r@   rX   __pydantic_base_init__r  r[   r\   classmethodrz   r   r   r   r   r   r   r   rp   r   r   r   r   r   r   r   r   r~   r}   r  r   r"  r  r0  r2  rA  rC  rF  rK  rN  r   RepresentationrI  rJ  
__pretty____rich_repr__rP  typing_extensionsry  rW  rY  r   r   rb  rg  r  r  r  r  r   r  r  r  r  r  r  r  r  __classcell__rV   rV   r  rW   r/   =   s  
 	91,7@ +7	/	G				)	metaclass)
__config__r  __base__r  __validators____cls_kwargs____model_namer   r  ConfigDict | Noner  rq  r  rP   r  r  dict[str, classmethod] | Noner  rD   field_definitionsr   rO   r   c                K     d S r   rV   r  r  r  r  r  r  r  r  rV   rV   rW   r2   W     r2   )r  r  r  r  r  %type[Model] | tuple[type[Model], ...]r^   c                K  r  r   rV   r  rV   rV   rW   r2   f  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  Usage docs: https://docs.pydantic.dev/2.6/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>)` 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   rV  RuntimeWarningr   r   r   r   castTyper/   rg   r   r  r  sys	_getframe	f_globalsrn   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  rV   rV   rW   r2   u  sz   $











)r  r   r  r  r  rq  r  rP   r  r   r  r  r  rD   r  r   rO   r   )r  r   r  r  r  rq  r  r  r  r   r  r  r  rD   r  r   rO   r^   )r  r   r  r  r  rq  r  r  r  rq  r  r  r  rD   r  r  r  r   rO   r^   )Tr  
__future__r   _annotationsr8  r  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$   r%   r&   _internal._utilsr'   r(   deprecated.parser)   DeprecatedParseProtocolr  r*   r+   r,   r-   r  	GeneratorTupler   rD  TypeVarr.   r1   r  DeprecationWarning__all__object_setattrro   ModelMetaclassr/   overloadr   r2   r  rV   rV   rV   rW   <module>   s    0          $g