;iI xdZddlmZddlZddlZddlZddlZddlm Z m Z m Z m Z m Z mZmZmZddlmZddlmZmZddlmZmZmZmZmZdd lmZdd lmZdd l m!Z!dd l"m#Z#dd l$m%Z%m&Z&m'Z'e r ddl(m)Z)ddl*m+Z+dZ,edZ-ej.dkreeej/e%e'feddddddddddd dHd(Z0eej/e%e'feddddddddddd dId,Z0n`eej/e%e'feddddddddd-dJd.Z0eej/e%e'feddddddddd-dKd/Z0eej/e%e'f dLddddddddddd dMd2Z0dNd4Z1ee2Z3ej.d5krdOd:Z4e4ej5_6ddd;dd<dPdCZ7dQdGZ8dS)Rz7Provide an enhanced dataclass that performs validation.) annotationsN) TYPE_CHECKINGAnyCallableGenericLiteralNoReturnTypeVaroverload)warn) TypeGuarddataclass_transform)_config _decorators _mock_val_ser_namespace_utils _typing_extra) _dataclasses)getattr_migration) ConfigDict)PydanticUserError)Field FieldInfo PrivateAttr)PydanticDataclass)MappingNamespace) dataclassrebuild_dataclass_T )field_specifiersFT. initrepreqorder unsafe_hashfrozenconfigvalidate_on_initkw_onlyslotsr&Literal[False]r'boolr(r)r*r+r, ConfigDict | type[object] | Noner- bool | Noner.r/return-Callable[[type[_T]], type[PydanticDataclass]]c dSNr%s HC:\PYTHON\MyICR_Workspace\venv\Lib\site-packages\pydantic/dataclasses.pyrrs  _clstype[_T]type[PydanticDataclass]c dSr7r8) r;r&r'r(r)r*r+r,r-r.r/s r9rr0s #&#r:r&r'r(r)r*r+r,r-cdSr7r8r?s r9rrCs  r:cdSr7r8) r;r&r'r(r)r*r+r,r-s r9rrRs #&#r:type[_T] | NoneGCallable[[type[_T]], type[PydanticDataclass]] | type[PydanticDataclass]c  |dus Jd|dus Jdtjdkr| d ni d   fd } || n | |S) a!!! abstract "Usage Documentation" [`dataclasses`](../concepts/dataclasses.md) A decorator used to create a Pydantic-enhanced dataclass, similar to the standard Python `dataclass`, but with added validation. This function should be used similarly to `dataclasses.dataclass`. Args: _cls: The target `dataclass`. init: Included for signature compatibility with `dataclasses.dataclass`, and is passed through to `dataclasses.dataclass` when appropriate. If specified, must be set to `False`, as pydantic inserts its own `__init__` function. repr: A boolean indicating whether to include the field in the `__repr__` output. eq: Determines if a `__eq__` method should be generated for the class. order: Determines if comparison magic methods should be generated, such as `__lt__`, but not `__eq__`. unsafe_hash: Determines if a `__hash__` method should be included in the class, as in `dataclasses.dataclass`. frozen: Determines if the generated class should be a 'frozen' `dataclass`, which does not allow its attributes to be modified after it has been initialized. If not set, the value from the provided `config` argument will be used (and will default to `False` otherwise). config: The Pydantic config to use for the `dataclass`. validate_on_init: A deprecated parameter included for backwards compatibility; in V2, all Pydantic dataclasses are validated on init. kw_only: Determines if `__init__` method parameters must be specified by keyword only. Defaults to `False`. slots: Determines if the generated class should be a 'slots' `dataclass`, which does not allow the addition of new attributes after instantiation. Returns: A decorator that accepts a class as its argument and returns a Pydantic `dataclass`. Raises: AssertionError: Raised if `init` is not `False` or `validate_on_init` is `False`. Fz7pydantic.dataclasses.dataclass only supports init=Falsez-validate_on_init=False is no longer supportedr!)r.r/cls type[Any]r4r=c bddlm}||rtd|jdd|}t d|jD}|s20t |d r td |jd td nt|d d}tj |}tj |}|||j}t#j|rLd}|f}t'|t(rt(|j} || fz}t-j|j|}*|jr td|jdtd n |jpdt3j|} | D]K} t|| d} t7| t8r#t;|| t#j| Lt#j|5tAj!|fdd}dddn #1swxYwY|j"rp|j#tIj%|j#d%fd } | &d||_#r&t |dsd&d}d'd!}||_'||_(d|_)||_*||_t|d"d}|j+|_+tXj-d#kr|||_.||_.|j/|_/tatb|_2d|_3t#j4||d$|S)(zCreate a Pydantic dataclass from a regular dataclass. Args: cls: The class to create the Pydantic dataclass from. Returns: A Pydantic dataclass. r)is_model_classz(Cannot create a Pydantic dataclass from z" as it is already a Pydantic modelzdataclass-on-model)codec3>K|]}tj|VdSr7) dataclasses is_dataclass).0bases r9 z6dataclass..create_dataclass..s- Z ZD!9$!?!? Z Z Z Z Z Zr:N__pydantic_config__z[`config` is set via both the `dataclass` decorator and `__pydantic_config__` for dataclass zK. 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The `frozen` specification on `dataclass` will take priority.FT)r&r'r(r)r*r+instancernamestrvaluerr4Nonecfr |||St|}t||d}t|tr|||dSt|t jr|j||dS|j |||dSr7) typegetattr isinstanceproperty__set__ functoolscached_property__dict__ __setitem____pydantic_validator__validate_assignment)rTrUrWinst_clsattrfrozen_original_setattrs r9validated_setattrz>dataclass..create_dataclass..validated_setattrsC++HdEBBB>>xt44dH--_LL511111i&?@@_%11$>>>>>3GGRVX]^^^^^r: __setstate__self list[Any]cDfdtjDS)Nc:g|]}t|jSr8)r[rU)rMfrks r9 zTdataclass..create_dataclass.._dataclass_getstate..s%TTTaGD!&11TTTr:)rKfields)rks`r9_dataclass_getstatez@dataclass..create_dataclass.._dataclass_getstates(TTTT;;Md;S;STTTTr:statecttj||D]&\}}t||j|'dSr7)ziprKrqobject __setattr__rU)rkrsfieldrWs r9_dataclass_setstatez@dataclass..create_dataclass.._dataclass_setstatesU(+K,>t,D,De(L(LDD u**4UCCCCDDr:__firstlineno__)r" ) raise_errors)rTrrUrVrWrr4rX)rkrr4rl)rkrrsrlr4rX)5_internal._utilsrHr__name__any __bases__hasattrr UserWarningr[r ConfigWrapperrDecoratorInfosbuildupdate_from_config__doc___pydantic_dataclassesis_stdlib_dataclass issubclassr__parameters__types new_classr+rsafe_get_annotationsr\rsetattras_dataclass_fieldpatch_base_fieldsrKrrdrwr_wraps__get__ __getstate__rj__is_pydantic_dataclass____pydantic_decorators__ __module__sys version_inforz __qualname__ classmethod_pydantic_fields_complete__pydantic_fields_complete____pydantic_complete__complete_dataclass)rErH original_clshas_dataclass_base config_dictconfig_wrapper decorators original_docbases generic_basecls_anns field_name field_valuerirrry firstlinenorgrhr,r(r+kwargsr)r'r/r*s @@r9create_dataclassz#dataclass..create_dataclasssp 544444 >#   #k3<kkk)   ! Z ZCM Z Z ZZZ! f&8WSJ_=`=`&8 ]nqnz]]]$     !' 2ffEZ\`8a8a  .{;; /55c:: %%n555 { 4S 9 9 7 L FE#w'' 0&s'9: //#,66C  G$ meheqmmm( %+4uG!5c::" ` `J"#z488K+y11 `Z)>)QR])^)^___# 4S 9 9  ' '    C                 -& 7"  _S_ - - _ _ _ _ _ _. - _077cBBCO 7WS.99 7UUUUDDDD$7 #6 )-%&0#" l,=tDD %0  w & &;+B,7L ("-C '4+67P+Q+Q($)! 0nSXYYYY s2HHHN)rErFr4r=)rr) r;r&r'r(r)r*r+r,r-r.r/rrs `````` ` @r9rrbs^ 5===S=== 5 ( ( (*Y ( ( ( 7""$u55^^^^^^^^^^^^^@ $|  1A1A$1G1GGr:rEcbtd|jDS)zReturn whether the fields where successfully collected (i.e. type hints were successfully resolves). This is a private property, not meant to be used outside Pydantic. c3$K|] }|jV dSr7) _complete)rM field_infos r9rOz,_pydantic_fields_complete..As%WW z#WWWWWWr:)all__pydantic_fields__values)rEs r9rr<s0 WWc6M6T6T6V6VWWW W WWr:)r" argsrrr c td)a9This function does nothing but raise an error that is as similar as possible to what you'd get if you were to try calling `InitVar[int]()` without this monkeypatch. The whole purpose is just to ensure typing._type_check does not error if the type hint evaluates to `InitVar[]`. z 'InitVar' object is not callable) TypeError)rrs r9 _call_initvarrJs :;;;r:rQ)forcer|_parent_namespace_depth_types_namespacerr|rintrMappingNamespace | Nonec|s |jrdSdD]C}||jvr8tt||tjst ||Dd|_||}n!|dkrtj|dpi}ni}tj |}tj |tj|jd||d S) axTry to rebuild the pydantic-core schema for the dataclass. 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. This is analogous to `BaseModel.model_rebuild`. Args: cls: The class to rebuild the pydantic-core schema for. force: Whether to force the rebuilding of the 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`. N)__pydantic_core_schema__rc__pydantic_serializer__FrT) parent_depthr)parent_namespace)check)r| ns_resolver _force_build)rrar\r[r MockValSerdelattrrparent_frame_namespacer NsResolverrrrrrP)rErr|rrrf rebuild_nsrs r9rrTs4 S.ta 3<   733E3E}G_(`(`  C    %C#% 1 $ $"9G^fjkkkqoq  "-#K ! 3 c5UCCC!     r:class_rF"TypeGuard[type[PydanticDataclass]]c` d|jvotj|S#t$rYdSwxYw)zWhether a class is a pydantic dataclass. Args: class_: The class. 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