3jTe%SSKrSSKrSSKrSSKJr SSKJrJrJrJ r J r SSK J r J r SSKJrJrJrJrJrJrJrJrJrJr SSKJrJr S S KJrJ r J!r! \\/S4r"\"S 5r#\"S \$\%\4S9r&\'"5r(\S\\#S\\#4Sj5r)\SS.S\*S\\\#/\\#44Sjj5r)S>SS.S\\#S-S\*S\\#\\\#/\\#4-4Sjjjr)S\\&S\$SS4Sjr+\ S\\&S\4Sj5r,S\\&S\$\%\44Sjr-\\SSSSS4S\.\"\"-S\S\S \*S!\*S"\*S-S#\*S$\$S-S%\S\4S&jjr/S\"4S'jr0S(\%S)\S*\SS4S+jr1S(\%S)\SS4S,jr2S(\%S)\S-\3\S.4SS4S/jr4S(\%S)\S-\3\S.4SS4S0jr5S(\%S)\S-\3\S.4SS4S1jr6S(\%S)\S-\3\S.4SS4S2jr7S(\%S)\S-\3\S.4SS4S3jr8S(\%S)\S-\3\S.4SS4S4jr9S(\%S)\S-\3\S.4SS4S5jr:S(\%S)\S*\SS4S6jr;S7\S\"4S8jr\\4\\5\.\6\$\7\3\8\?\9\RR\:0rB\$\\\%\\3\S.4/S44\CS<'\4\B\R'/S=QrEg!\a/ SSKJrJr GN !\a \"SS05r\"S S05rGN*f=ff=f)?N)Callable)MISSINGFieldfieldfieldsmake_dataclass) lru_cachewraps) AnnotatedAny ForwardRefLiteralTypeTypeVarUnionget_args get_originoverload) NotRequiredRequiredrr)#StrictDataclassClassValidationErrorStrictDataclassDefinitionError#StrictDataclassFieldValidationErrorT TypedDictType)boundclsreturncgNr)rs U/home/wildlama/miniconda3/lib/python3.13/site-packages/huggingface_hub/dataclasses.pystrictr$0s%(F accept_kwargsr'cgr"rr&s r#r$r$4sLOr%cb^S[[S[[4U4SjjnUbU"U5$U$)a Decorator to add strict validation to a dataclass. This decorator must be used on top of `@dataclass` to ensure IDEs and static typing tools recognize the class as a dataclass. Can be used with or without arguments: - `@strict` - `@strict(accept_kwargs=True)` Args: cls: The class to convert to a strict dataclass. accept_kwargs (`bool`, *optional*): If True, allows arbitrary keyword arguments in `__init__`. Defaults to False. Returns: The enhanced dataclass with strict validation on field assignment. Example: ```py >>> from dataclasses import dataclass >>> from huggingface_hub.dataclasses import as_validated_field, strict, validated_field >>> @as_validated_field >>> def positive_int(value: int): ... if not value >= 0: ... raise ValueError(f"Value must be positive, got {value}") >>> @strict(accept_kwargs=True) ... @dataclass ... class User: ... name: str ... age: int = positive_int(default=10) # Initialize >>> User(name="John") User(name='John', age=10) # Extra kwargs are accepted >>> User(name="John", age=30, lastname="Doe") User(name='John', age=30, *lastname='Doe') # Invalid type => raises >>> User(name="John", age="30") huggingface_hub.errors.StrictDataclassFieldValidationError: Validation error for field 'age': TypeError: Field 'age' expected int, got str (value: '30') # Invalid value => raises >>> User(name="John", age=-1) huggingface_hub.errors.StrictDataclassFieldValidationError: Validation error for field 'age': ValueError: Value must be positive, got -1 ``` rr c >^^^^[TS5(d[STRS35e0n[T5Hn/nUR [ U55 UR RS5nUb^[U[5(dU/nUH/n[U5(aM[SURSUS35e URU5 X1UR'M UTl TRmS[S [ S [S S4U4S jjnUTlT(aTR"n[%U5S [S S4U4Sjj5nUTl[TS5(dS [S S4Sjn U TlTR(m[%T5S [ 4UU4Sjj5n TR*R,SLaU Tl/n [/T5Hn U R1S5(dMU 5n [5U 5(dM9[7[8R:"U 5R<5S:wa[STRSU S35eU R U 5 M U TlS[@S S4U4SjjnSUl![TS5(a5[3TRDSS5(d[STRS35eUTl"TR"m[%T5SUU4Sjj5n[GTSU5 T$)N__dataclass_fields__zClass 'z.' must be a dataclass before applying @strict. validatorzInvalid validator for field '': z.. Must be a callable taking a single argument.selfnamevaluer c>URRU/5H nU"U5 M T"XU5 g![[4an[ XS9UeSnAff=f)z1Custom __setattr__ method for strict dataclasses.)rcauseN)__validators__get ValueError TypeErrorr)r.r/r0r,eoriginal_setattrs r#__strict_setattr__0strict..wrap..__strict_setattr__sc"0044T2> Ze$? T / #I.Z=DRXYYZs8A AAkwargsc(>[T 5Vs1sHo3RiM nnUR5VVs0sHupVXT;dM XV_M nnn[U5S:a%[ ST R S[U5S35e[T 5HnURU;a$[ XRXsR5 M7UR[La"[ XRUR5 MlUR[La&[ XRUR55 M[SURS35e 0nUR5HupX;dM XU 'M UR"S0UD6 gs snfs snnf)NrzWhen `accept_kwargs=True`, z, accepts only keyword arguments, but found `z` positional args.zMissing required field - ''r) rr/itemslenr5__name__setattrdefaultrdefault_factoryr6 __post_init__) r.argsr;fdataclass_fieldskvstandard_kwargsadditional_kwargsr/r0rs r#__init__&strict..wrap..__init__sT5;3K#@KqFFK #@4:LLN"\NDAaF[414N"\ t9q=$5cll^D&&)$i[0BD  Avv0ffoff.EF'1ffaii8**'9ffa.?.?.AB'*DQVVHA(NOO%%'!#)<<>KD327$/$2""7%67=$A"\sF  FFrDcNUR5Hup#[XU5 M g)z2Default __post_init__ to accept additional kwargs.N)r>rA)r.r;r/r0s r#rD+strict..wrap..__post_init__s'-||~ E2(6r%c>T"U5nURR5VVs/sH up#UTR;dMSUSU<3PM" nnnSRU5nU(a USSSUS3$U$s snnf)N*=z, ))__dict__r>r+join)r. standard_reprrHrIrKadditional_reprr original_reprs r#__repr__&strict..wrap..__repr__s!.d 3 !% 3 3 5%!6 8 88"as!A5M 5"% #')),=">GX-,-R/@Bj]jj%s A6 A6T validate_rz' has a class validator 'z' that takes more than one argument. Class validators must take only 'self' as an argument. Methods starting with 'validate_' are considered to be class validators.c>TRH nU"U5 M g![[4an[URUS9UeSnAff=f)z%Run class validators on the instance.)r,r2N)__class_validators__r5r6rr@)r.r,r7rs r#validate&strict..wrap..validatesP 55 ldO6#I.l= HZHZbcdjkklsA AA r_"__is_defined_by_strict_decorator__Fz' already implements a method called 'validate'. This method name is reserved when using the @strict decorator on a dataclass. If you want to keep your own method, please rename it.c@>T"U/UQ70UD6 TRU5 g)z*Run class validators after initialization.N)r_)r.rEr;r initial_inits r#init_with_validate0strict..wrap..init_with_validates#  / / / LL r%rL)r N)$hasattrrr@rappend_create_type_validatormetadatar4 isinstancelist _is_validatorr/extendr3 __setattr__r strrLr rDrZ__dataclass_params__reprdir startswithgetattrcallabler?inspect signature parametersr^rrar_rA)rfield_validatorsrF validatorscustom_validatorr,r9 original_initrLrDrZclass_validatorsr/methodr_rdrcrYr8r's` @@@r#wrapstrict..wrappss2330#,,'UV  :<AJ   4Q7 8 zz~~k: +!"2D99(8'9$!1I(33<;AFF83ykQA"2 !!"23'1QVV $.?? 0S 0 0C 0D 0- LLM = ! 8 8 8" 8D$CL3003#3$3 %2! LLM = ! k# k" k '',,4' HD??;//S$'FF##7$$V,778A=4cll^+DTFK>>  # #F +$4  l1 l l7;3 3 # #3<<)MuUU4cll^,NN   || |     Z!34 r%)rr)rr'rs ` r#r$r$8s8ph$q'hd1ghV491T1r%schemadatac*[U5nU"S0UD6 g)an Validate that a dictionary conforms to the types defined in a TypedDict class. Under the hood, the typed dict is converted to a strict dataclass and validated using the `@strict` decorator. Args: schema (`type[TypedDictType]`): The TypedDict class defining the expected structure and types. data (`dict`): The dictionary to validate. Raises: `StrictDataclassFieldValidationError`: If any field in the dictionary does not conform to the expected type. Example: ```py >>> from typing import Annotated, TypedDict >>> from huggingface_hub.dataclasses import validate_typed_dict >>> def positive_int(value: int): ... if not value >= 0: ... raise ValueError(f"Value must be positive, got {value}") >>> class User(TypedDict): ... name: str ... age: Annotated[int, positive_int] >>> # Valid data >>> validate_typed_dict(User, {"name": "John", "age": 30}) >>> # Invalid type for age >>> validate_typed_dict(User, {"name": "John", "age": "30"}) huggingface_hub.errors.StrictDataclassFieldValidationError: Validation error for field 'age': TypeError: Field 'age' expected int, got str (value: '30') >>> # Invalid value for age >>> validate_typed_dict(User, {"name": "John", "age": -1}) huggingface_hub.errors.StrictDataclassFieldValidationError: Validation error for field 'age': ValueError: Value must be positive, got -1 ``` Nr)!_build_strict_cls_from_typed_dict)rr strict_clss r#validate_typed_dictrsX36:Jr%c [U5n[USS5(dUR5H~up#[U5nU[LaH[ U5tpV[ U5(d [Un[[U/[U5-5X'Ma[ U5(aMs[UX'M /nUR5Hiup#[U5[La3[ U5tpVUR"X%[[SUS0S945 MJUR"X#[[S945 Mk [[URU55$)N __total__Tr,r)rBri)rB)_get_typed_dict_annotationsrtr>rr r_is_required_or_notrequiredrtuplerkrgr_TYPED_DICT_DEFAULT_VALUEr$rr@)r type_hintskeyr0originbasemetars r#rrPs"-V4J 6; - -$**,JC&F"&uo 2488&t,D"+E4&4:2E,F"G 077"-e"4 -F &&(  e  )"5/KD MM3e4MYdfjklfmXn&op q MM3u5N'OP Q ) .&9 ::r%c SSKnURU5$![aW URR S05R 5VVs0sHup#X#bUO [ S5_M Os snnfsnns$f=f)z0Extract type annotations from a TypedDict class.rN__annotations__) annotationlibget_annotations ImportErrorrUr4r>type)rrr/r0s r#rrosz  ,,V44  &223DbIOOQ   R  ,%$t* <Q    s7A8A+* A87A8Tr,rBrCinitrqhashcomparerir;c j[U[5(dU/nUc0nXS'[SUUUUUUUS.UD6$)a Create a dataclass field with a custom validator. Useful to apply several checks to a field. If only applying one rule, check out the [`as_validated_field`] decorator. Args: validator (`Callable` or `list[Callable]`): A method that takes a value as input and raises ValueError/TypeError if the value is invalid. Can be a list of validators to apply multiple checks. **kwargs: Additional arguments to pass to `dataclasses.field()`. Returns: A field with the validator attached in metadata r,rBrCrrqrrrir)rjrkr) r,rBrCrrqrrrir;s r#validated_fieldrs\4 i & &K %[  '       r%c^[[SSSSS4S[S[S[S[S[S-S[S [S-S [4U4S jjjnU$) z Decorates a validator function as a [`validated_field`] (i.e. a dataclass field with a custom validator). Args: validator (`Callable`): A method that takes a value as input and raises ValueError/TypeError if the value is invalid. TNrBrCrrqrrrir;c ,>[T4UUUUUUUS.UD6$)Nr)r) rBrCrrqrrrir;r,s r#_inner"as_validated_field.._inners9   +    r%)rr booldict)r,rs` r#as_validated_fieldrs&  $      Tk    +   , Mr%r/r0 expected_typec[U5n[U5nU[LagUc [X5 g[R U5=n(a U"XU5 g[ U[5(a [XU5 g[ U[5(d[ U[5(agU[La(U[La[SUS35e[XUS5 gU[LaU[Lag[XUS5 g[SUSU35e)z.Validate that 'value' matches 'expected_type'.NField 'z' is required but missing.rzUnsupported type for field 'r-)rrr _validate_none_BASIC_TYPE_VALIDATORSr4rjr_validate_simple_typer rorrr6type_validatorr)r/r0rrrEr,s r#rrs  &F M "D  t#,008 8 8$t$ M4 ( (d=9 M: . .*]C2P2P 8  - -gdV+EFG GtDG, ;  - - tDG,6tfC OPPr%cRUb$[SUS[U5R35eg)zValidate None type. 'None' is not a type, it's a special value. Type should be `NoneType` instead. But in type annotations 'None' is accepted so we must support it. Nrz' expected None, got )r6rr@)r/r0s r#rrs3  '$'tE{?S?S>TUVVQIU# R dV1QCq>4 ;$ R4QCz$qIJPQ Q RsA'' B 1BB c:[U[5(d$[SUS[U5R35eUup4UR 5H(upV[ US3XS5 [ USU<S3Xd5 M* g![an[SUS35UeSnAff=f) zValidate dict[K, V] type.rz' expected a dict, got z.keyrrzInvalid key or value in dict 'r=N)rjrr6rr@r>r)r/r0rEkey_type value_typerHrIr7s r#_validate_dictrs eT " "'$'>tE{?S?S>TUVV H  M dV4=! 6 dV1QE+Q ; M A W$q1~t>$?  W"8;tfA NOUVV W W"8;tfA NOUVV Ws0&C2D2 D<DD D9!D44D9c [U[5(d$[SUS[U5R35eUSn[ U5HupE[ US3XS5 M g![an[SUS35UeSnAff=f)zValidate set[T] type.rz' expected a set, got rz itemzInvalid item in set 'r=N)rjsetr6rr@rrrs r# _validate_setr@s eS ! !'$'=d5k>R>R=STUUQIU# D dV5>4 ;$ D3D6;>Bc P[U[RR5(d$[ SUS[ U5R 35eU(dgUSn[U5HupE[USUS3XS5 M g![an[ SUSUS 35UeSnAff=f) z&Validate Sequence or Sequence[T] type.rz' expected a Sequence, got Nrrrrz in sequence 'r=) rj collectionsabcSequencer6rr@rrrs r#_validate_sequencerNs e[__55 6 6'$'B4;CWCWBXYZZ QIU# V dV1QCq>4 ;$ V4QC~dV1MNTU U Vs,B B% B  B%c XU[LaS[U[5(a>[SUSURS[ U5RS[ U5S3 5e[X5(d>[SUSURS[ U5RS[ U5S3 5eg)z&Validate simple type (int, str, etc.).rz ' expected rz (value: rTN)rrjrr6r@rrq)r/r0rs r#rr`s 5$ 7 7dV;}'='=&>fT%[EYEYDZZcdhindocppq r   e + +dV;}'='=&>fT%[EYEYDZZcdhindocppq r   ,r%rc(^S[SS4U4SjjnU$)z-Create a type validator function for a field.r0r NcH>[TRUTR5 gr")rr/r)r0rs r#r,)_create_type_validator..validatorpsuzz5%**5r%)r )rr,s` r#rhrhls666 r%c[U5(dg[R"U5n[URR 55n[ U5S:XagUSR[RR[RR[RR4;agUSSH-nUR[RR:XdM- g g)zCheck if a function is a validator. A validator is a Callable that can be called with a single positional argument. The validator can have more arguments with default values. Basically, returns True if `validator(value)` is possible. FrrNT)rurvrwrkrxvaluesr?kind ParameterPOSITIONAL_OR_KEYWORDPOSITIONAL_ONLYVAR_POSITIONALrBempty)r,rwrx parameters r#rlrlvs I  !!),Ii**1134J :!!}//))((" ^    1 1 7 7 7$ r% type_hintc^U[[4;=(d [U5[[4;$)z2Helper to check if a type is Required/NotRequired.)rrr)rs r#rrs' ;/ / eJy4IhXcMd4der%r)r$rr Validator_Trrrr")Fcollections.abcrrvtypesr dataclassesrrrrr functoolsr r typingr r r rrrrrrrrrrtyping_extensionsrrrrrrrrrorobjectrr$rrrrrkrrrrrrrrrrrrrrhrlrrrrrr UnionType__all__rr%r#rs $EE&    2,ud{#  CLtCH~> "H (Q(DG( ( $)OTOhQy$q'7I.JO Oc2c2Q$c2c2$q'T\^bcd^e]fhlmnho]oTpJpc2L/] 3/4/D/d ;d=.A;d; ;<  ](;  S#X  $" (K ;.( ((  (  ( + ((Tk(( (V+DQQSQQQ6UUSUTU # c sCx T  OC O O5c? Ot O R RS Rc3h RD R M MS Mc3h MD MW#WcWsCxWTW. D DC DuS#X D4 DVSVVE#s(OVV$    C      %KST6f3f4f  ? .. ?OO0RS(CeCHo+F+L"MMN+:u' Y22;; 2 B+="b1 2 2s*II: II61I:5I66I: