
    8'h                    r   U d 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 ddlmZmZmZ ddlmZ ddlmZ ddlmZ erdd	lmZ dd
lmZmZ dZeeee e!de	d   df   Z"de#d<   ee e"f   Z$de#d<   eegef   Z%eee$gdf   ee$e
e   gdf   f   Z&de#d<   ed   Z' G d ded      Z( ede)      Z*ddZ+ ee,      Z-y)z"Configuration for Pydantic models.    )annotations)TYPE_CHECKINGAnyCallableDictListTypeTypeVarUnion)Literal	TypeAlias	TypedDict   )getattr_migration)AliasGenerator)PydanticUserError)GenerateSchema)ComputedFieldInfo	FieldInfo)
ConfigDictwith_configN	JsonValueJsonDictr   JsonSchemaExtraCallable)allowignoreforbidc                     e Zd ZU dZded<   	 ded<   	 ded<   	 ded	<   	 ded
<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 ded<   	 d ed!<   	 ded"<   	 d#ed$<   	 d%ed&<   	 d'ed(<   	 d'ed)<   	 d*ed+<   	 ded,<   	 ded-<   	 d.ed/<   	 ded0<   	 ded1<   	 d2ed3<   	 d4ed5<   	 d6ed7<   	 ded8<   	 d9ed:<   	 ded;<   	 d<ed=<   	 ded><   	 ded?<   	 d@edA<   yB)Cr   z/A TypedDict for configuring Pydantic behaviour.z
str | NonetitlezCallable[[type], str] | Nonemodel_title_generatorz:Callable[[str, FieldInfo | ComputedFieldInfo], str] | Nonefield_title_generatorboolstr_to_lowerstr_to_upperstr_strip_whitespaceintstr_min_lengthz
int | Nonestr_max_lengthzExtraValues | Noneextrafrozenpopulate_by_nameuse_enum_valuesvalidate_assignmentarbitrary_types_allowedfrom_attributesloc_by_aliasz,Callable[[str], str] | AliasGenerator | Nonealias_generatorztuple[type, ...]ignored_typesallow_inf_nanz)JsonDict | JsonSchemaExtraCallable | Nonejson_schema_extraz&dict[type[object], JsonEncoder] | Nonejson_encodersstrictz0Literal['always', 'never', 'subclass-instances']revalidate_instanceszLiteral['iso8601', 'float']ser_json_timedeltaz Literal['utf8', 'base64', 'hex']ser_json_bytesval_json_bytesz'Literal['null', 'constants', 'strings']ser_json_inf_nanvalidate_defaultvalidate_returnztuple[str, ...]protected_namespaceshide_input_in_errorsdefer_buildz,tuple[Literal['model', 'type_adapter'], ...]experimental_defer_build_modezdict[str, object] | Noneplugin_settingsztype[_GenerateSchema] | Noneschema_generator+json_schema_serialization_defaults_requiredz,Literal['validation', 'serialization', None]json_schema_mode_overridecoerce_numbers_to_strz"Literal['rust-regex', 'python-re']regex_enginevalidation_error_causeuse_attribute_docstringsz%bool | Literal['all', 'keys', 'none']cache_stringsN)__name__
__module____qualname____doc____annotations__     K/var/www/html/trade_iq/venv/lib/python3.12/site-packages/pydantic/config.pyr   r   !   s   9O77_UUe\\I??DL L @ %N 1f "!4l   MAA8t $# v@@Y99 L4 KJ|| 43 54 54 >= TY))IV )V " $PO .- 32 265$L  LK4l  #J 54"H !  #"#J 98rQ   r   F)total_TypeT)boundc                     d fd}|S )a$  Usage docs: https://docs.pydantic.dev/2.9/concepts/config/#configuration-with-dataclass-from-the-standard-library-or-typeddict

    A convenience decorator to set a [Pydantic configuration](config.md) on a `TypedDict` or a `dataclass` from the standard library.

    Although the configuration can be set using the `__pydantic_config__` attribute, it does not play well with type checkers,
    especially with `TypedDict`.

    !!! example "Usage"

        ```py
        from typing_extensions import TypedDict

        from pydantic import ConfigDict, TypeAdapter, with_config

        @with_config(ConfigDict(str_to_lower=True))
        class Model(TypedDict):
            x: str

        ta = TypeAdapter(Model)

        print(ta.validate_python({'x': 'ABC'}))
        #> {'x': 'abc'}
        ```
    c               h    ddl m}  ||       rt        d| j                   dd      | _        | S )Nr   )is_model_classzCannot use `with_config` on z as it is a Pydantic modelzwith-config-on-model)code)_internal._utilsrX   r   rK   __pydantic_config__)class_rX   configs     rR   innerzwith_config.<locals>.inner  sA     	5&!#.v.??YZ+  &,"rQ   )r\   rT   returnrT   rP   )r]   r^   s   ` rR   r   r     s    4 LrQ   )r]   r   r_   zCallable[[_TypeT], _TypeT]).rN   
__future__r   _annotationstypingr   r   r   r   r   r	   r
   r   typing_extensionsr   r   r   
_migrationr   aliasesr   errorsr   _internal._generate_schemar   _GenerateSchemafieldsr   r   __all__r&   floatstrr"   r   rO   r   JsonEncoderr   ExtraValuesr   typerT   r   rK   __getattr__rP   rQ   rR   <module>rq      s    ( 2 Q Q Q ; ; ) # %M4
' S%dD${:KZWX	9 X3	>*) *ucz"%*hZhS	"D()+&  
 12T% Tn 
	&(V  )rQ   