&V.j%dZddlmZddlZddlZddlZddlmZm Z ddlm Z m Z ddl m Z mZmZmZddlmZdd lmZdd lmZmZdd lmZd d lmZmZd dlmZd dlmZd dl m!Z!d dl"m#Z#d dl$m%Z%d dl&m'Z'd dl(m)Z)d dl*m+Z+ejXr)ddl-m.Z/ddl0m1Z1ddl2m3Z3Gdde/ejhZ5neZ6 d! d"dZ7dddd d#dZ8d$d Z9y)%z0Private logic for creating pydantic dataclasses.) annotationsN)partialwraps)AnyClassVar) ArgsKwargsSchemaSerializerSchemaValidator core_schema) TypeGuard)PydanticUndefinedAnnotation)PluggableSchemaValidatorcreate_schema_validator)PydanticDeprecatedSince20)_config _decorators)collect_dataclass_fields)GenerateSchema)get_standard_typevars_map)set_dataclass_mocks) NsResolver)CallbackGetCoreSchemaHandler)generate_pydantic_signature)LazyClassAttribute)DataclassInstance) ConfigDict) FieldInfocXeZdZUdZded<ded<ded<ded <d ed <d ed <ded<y)PydanticDataclassaiA protocol containing attributes only available once a class has been decorated as a Pydantic dataclass. Attributes: __pydantic_config__: Pydantic-specific configuration settings for the dataclass. __pydantic_complete__: Whether dataclass 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_decorators__: Metadata containing the decorators defined on the dataclass. __pydantic_fields__: Metadata about the fields defined on the dataclass. __pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the dataclass. __pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the dataclass. zClassVar[ConfigDict]__pydantic_config__zClassVar[bool]__pydantic_complete__z ClassVar[core_schema.CoreSchema]__pydantic_core_schema__z$ClassVar[_decorators.DecoratorInfos]__pydantic_decorators__zClassVar[dict[str, FieldInfo]]__pydantic_fields__zClassVar[SchemaSerializer]__pydantic_serializer__z4ClassVar[SchemaValidator | PluggableSchemaValidator]__pydantic_validator__N)__name__ __module__ __qualname____doc____annotations__aC:\xampp\htdocs\tradingbinance\backend\.venv\Lib\site-packages\pydantic/_internal/_dataclasses.pyr!r!&s3 21--"BB!EE;;!;; TTr/r!cFt|}t||||}||_y)zCollect and set `cls.__pydantic_fields__`. Args: cls: The class. ns_resolver: Namespace resolver to use when getting dataclass annotations. config_wrapper: The config wrapper instance, defaults to `None`. ) ns_resolver typevars_mapconfig_wrapperN)rrr&)clsr2r4r3fieldss r0set_dataclass_fieldsr7As,-S1L % .__init__vs.     00D&1IYZ0[r/z .__init__)r4F__post_init_post_parse__zVSupport for `__post_init_post_parse__` has been dropped, the method will not be called)r2r3 __signature__T)initr6populate_by_nameextra is_dataclass__get_pydantic_core_schema__N)from_dunder_get_core_schemaunpack)ref_mode`)titlezall referenced typesztype[PydanticDataclass] dataclassc,j|||y)N)validate_assignment)instancefieldvalue validators r0validated_setattrz-complete_dataclass..validated_setattrs  ) )(E5 Ar/)r>r!r?rr@rreturnNone)rSrrTstrrUrZrXrY)+rCr+ config_dictr"r7 defer_buildrr)hasattrwarningswarnDeprecationWarningrrrrrr&rGrHrEgetattrrgenerate_schemarname core_config clean_schemaCollectedInvalidtypingcastr$rr*plugin_settingsr(r r'rRr __setattr____get__r#)r5r4r8r2r9 original_initrCr3 gen_schemaget_core_schemaschemaerdrWrVs @r0complete_dataclassrqUs{:LLM\ #//0 :HCL,88Ck.I N66C.s./ dfx -S1L!J+ '**+<< &&  Cc#A4HO $,J66TYZ%F //QV/WF!,,3<<,@K((0 ++/ 5C$*C -DS^^S%5%5{KQ_QoQo.C#36;"GC)) s  B  B,33D#> $C E '  C166(!}=   & &C/EFs+AHI I$(II&JJc tj|xrGt|d xr8t|jj tt |diS)aBReturns True if a class is a stdlib dataclass and *not* a pydantic dataclass. We check that - `_cls` is a dataclass - `_cls` does not inherit from a processed pydantic dataclass (and thus have a `__pydantic_validator__`) - `_cls` does not have any annotations that are not dataclass fields e.g. ```python import dataclasses import pydantic.dataclasses @dataclasses.dataclass class A: x: int @pydantic.dataclasses.dataclass class B(A): y: int ``` In this case, when we first check `B`, we make an extra check and look at the annotations ('y'), which won't be a superset of all the dataclass fields (only the stdlib fields i.e. 'x') Args: cls: The class. Returns: `True` if the class is a stdlib dataclass, `False` otherwise. r(r-) dataclassesrIr]set__dataclass_fields__ issupersetra)_clss r0is_builtin_dataclassrxsZ>   & a67 7 a )) * 5 5c'$HY[]:^6_ `r/)NN)r5ztype[StandardDataclass]r2NsResolver | Noner4z_config.ConfigWrapper | NonerXrY) r5 type[Any]r4z_config.ConfigWrapperr8boolr2ryr9r{rXr{)rwrzrXz"TypeGuard[type[StandardDataclass]]):r, __future__r _annotationsrsrgr^ functoolsrrrr pydantic_corerr r r typing_extensionsr errorsrplugin._schema_validatorrrrrr_fieldsr_generate_schemar _genericsr _mock_val_serr_namespace_utilsr_schema_generation_sharedr _signaturer_utilsr TYPE_CHECKING _typeshedrStandardDataclassconfigrr6rProtocolr!r`r7rqrxr.r/r0rs62 $  (0X0"-,0.(C3& @#"U-vU03 &*37% %"%1% %0%) | |)| | # |  | |~"r/