g~%SrSSKJr SSKJr SSKJrJrJ r J r J r J r J r Jr SSKJrJrJr SSKJr SSKJr SS KJr \(aSS KJr SS KJrJr S r\\ \!\"\#S \ SS4r$S\%S'\ \"\$4r&S\%S'\ \/\4r'\\ \&/S 4\ \&\ \/S 44r(S\%S'\Sr)"SS\SS9r*\ "S\+S9r,SSjr-\"\.5r/g )z"Configuration for Pydantic models.) annotations)Pattern) TYPE_CHECKINGAnyCallableDictListTypeTypeVarUnion)Literal TypeAlias TypedDict)getattr_migration)AliasGenerator)PydanticUserError)GenerateSchema)ComputedFieldInfo FieldInfo) ConfigDict with_configN JsonValueJsonDictrJsonSchemaExtraCallable)allowignoreforbidc\rSrSr%SrS\S'S\S'S\S'S \S 'S \S 'S \S 'S \S'S\S'S\S'S \S'S \S'S \S'S \S'S \S'S \S'S \S'S\S'S\S'S \S'S\S 'S!\S"'S \S#'S$\S%'S&\S''S(\S)'S(\S*'S+\S,'S \S-'S \S.'S/\S0'S \S1'S \S2'S3\S4'S5\S6'S \S7'S8\S9'S \S:'S;\S<'S \S='S \S>'S?\S@'SArgB)Cr"z/A TypedDict for configuring Pydantic behaviour.z str | NonetitlezCallable[[type], str] | Nonemodel_title_generatorz:Callable[[str, FieldInfo | ComputedFieldInfo], str] | Nonefield_title_generatorbool str_to_lower str_to_upperstr_strip_whitespaceintstr_min_lengthz int | Nonestr_max_lengthzExtraValues | Noneextrafrozenpopulate_by_nameuse_enum_valuesvalidate_assignmentarbitrary_types_allowedfrom_attributes loc_by_aliasz,Callable[[str], str] | AliasGenerator | Nonealias_generatorztuple[type, ...] ignored_types allow_inf_nanz)JsonDict | JsonSchemaExtraCallable | Nonejson_schema_extraz&dict[type[object], JsonEncoder] | None json_encodersstrictz0Literal['always', 'never', 'subclass-instances']revalidate_instanceszLiteral['iso8601', 'float']ser_json_timedeltaz Literal['utf8', 'base64', 'hex']ser_json_bytesval_json_bytesz'Literal['null', 'constants', 'strings']ser_json_inf_nanvalidate_defaultvalidate_returnztuple[str | Pattern[str], ...]protected_namespaceshide_input_in_errors defer_buildzdict[str, object] | Noneplugin_settingsztype[_GenerateSchema] | Noneschema_generator+json_schema_serialization_defaults_requiredz,Literal['validation', 'serialization', None]json_schema_mode_overridecoerce_numbers_to_strz"Literal['rust-regex', 'python-re'] regex_enginevalidation_error_causeuse_attribute_docstringsz%bool | Literal['all', 'keys', 'none'] cache_stringsN)__name__ __module__ __qualname____firstlineno____doc____annotations____static_attributes__rLH/home/matz/Project1/venv/lib/python3.13/site-packages/pydantic/config.pyrr"s9 O77_UUe\\I?? >@ L<$L1f"!4lMAA8t$# v@@Y99 L4KJ||435454>=TY88[z)V.-?22265$L LK4l #J54"H! #"#J98rTrF)total_TypeT)boundc^SU4SjjnU$)aUsage docs: https://docs.pydantic.dev/2.10/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" ```python 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'} ``` cl>SSKJn U"U5(a[SURS3SS9eTUlU$)Nr)is_model_classzCannot use `with_config` on z as it is a Pydantic modelzwith-config-on-model)code)_internal._utilsr[rrM__pydantic_config__)class_r[configs rUinnerwith_config..innersD 5 & ! !#.v.??YZ+ &," rT)r_rWreturnrWrL)r`ras` rUrrs4  LrT)r`rrczCallable[[_TypeT], _TypeT])0rQ __future__r _annotationsrertypingrrrrr r r r typing_extensionsr rr _migrationraliasesrerrorsr_internal._generate_schemar_GenerateSchemafieldsrr__all__r(floatstrr$rrRr JsonEncoderr ExtraValuesrtyperWrrM __getattr__rLrTrUrvs(2QQQ;;)#%M4 'S%dD${:KZWX 9X3 >*)*ucz" %* hZ  hS "D ()+& 12 F%FR  &(V ) rT