,jM%SrSSKrSSKrSSKJrJrJr SSKJr SSKJ r \RS:aSr Sr O SSKJr SS KJr SSKJr SS KJr "S S 5r"S S 5r"SS5r"SS5rS'SS.Sjjr"SS\5r"SS5r"SS5rS(SjrSrSr Sr!S(Sjr"0r#\$\%S'S r&S!r'S"r(S#r)S$r*S%r+S&r,g!\\4a Sr Sr Nf=f!\\4a SrSrNf=f))zLightweight type validation system replacing Pydantic. Provides Schema base class, dynamic schema creation, and type validation for config values against function signatures. N)AnyOptionalget_type_hints)Ctx) check_type)) BaseModel)ValidationErrorc\rSrSrSrSrg) StrictBool.z.Only accepts actual bool values (not int 0/1).N__name__ __module__ __qualname____firstlineno____doc____static_attributes__rڣC:\Users\johnn\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\LocalCache\local-packages\Python313\site-packages\confection/validation.pyrr.s8rrc\rSrSrSrSrg) PositiveInt4z/Only accepts positive integers (> 0, not bool).rNrrrrrr4s9rrc\rSrSrSrSrg) StrictFloat:z+Only accepts actual float values (not int).rNrrrrrr:s5rrc4\rSrSrSrSrS SS.SjjrSrSrg) FieldInfoCz!Information about a schema field.defaultalias annotationNr%c*XlX lSUlgNr#)selfr$r%s r__init__FieldInfo.__init__Hs  #rcURSL$)N.r$r*s r is_requiredFieldInfo.is_requiredMs||s""r)r%r&r$.) rrrrr __slots__r+r0rrrrr!r!Cs+2I$T$ #rr!r'c[XS9$)zCreate a field definition.r$r%)r!r5s rFieldr6Qs W 22rc2^\rSrSrSrU4SjrSrSrU=r$)r Yz$Raised when schema validation fails.c`>XlSRSU55n[TU] U5 g)Nz; c3D# UHoRSS5v M g7f)msgN)get).0es r +ValidationError.__init__..^s>:aub)):s )_errorsjoinsuperr+)r* error_listmsgs __class__s rr+ValidationError.__init__\s)! yy>:>> rcUR$r)rBr/s rerrorsValidationError.errorsas ||rrJ) rrrrrr+rKr __classcell__rGs@rr r Ys. rr c\rSrSrSrSrSrg)_ValidatedResulthz0Attribute-accessible result from model_validate.c:URRU5 gr))__dict__update)r*datas rr+_ValidatedResult.__init__ks T"rrN)rrrrrr+rrrrrPrPhs :#rrPc^\rSrSr%SrSSS.r\\S'0r\\S'U4Sjr S r \ S 5r \ S S .S j5r SrSrU=r$)SchemaozFBase class for config validation schemas. Replaces pydantic.BaseModel.allowTextraarbitrary_types_allowed model_config model_fieldsc z>[T U]"S0UD6 0n0n[UR5H!n[ US05nUR U5 M# UR 5HupgUS;dURS5(aM#SnSn URHn XjR;dMU RUn [U [5(aU RnU Rn O7[U [[[[ 45(d[#U 5(dU n O [XS9n X|lXU'M X lg)N__annotations__)r^r__.r5r)rD__init_subclass__reversed__mro__getattrrTitems startswithrS isinstancer!r$r%type classmethod staticmethodpropertycallabler&r_)clskwargsfields all_hintsbasebase_annotationsnamer&r$r%klassvalfieldrGs rrcSchema.__init_subclass__us !+F+ S[[)D&t->C    - .*!* 1 D774??3;O;OGE>>)...C!#y11"%++ # 'dKxH (}}&)G%g;E)  4L'!2*"rc URRR5HGup#X!;a[XX5 MUR 5(aM1[XUR 5 MI gr))rGr_rgsetattrr0r$)r*rprurxs rr+Schema.__init__sO>>66<<>KD~FL1&&((EMM2 ?rcURRS5n[XRURU5nU(a [ U5e[ U5nURR 5H\upVUnURb URnOU(aU"U5nXt;dM7UR5(aMNURXG'M^ [U5$)z$Validate a dict against this schema.alias_generator) r^r=_validate_schemar_r dictrgr%r0r$rP)rorU alias_genrK result_datarurxdata_keys rmodel_validateSchema.model_validates$$(():; !$(8(8#:J:JIV !&) )4j ++113KDH{{& ;;$T?*53D3D3F3F(- %4 ,,rN)configc  SSKJn UcSSS.n[U5n0n[R"U5R R 5HnURURUR5nU[RRLa[nUR[RRLaSnO URnUR[RR:XaX7nUR[RR :XaM[#US9n Xyl XUR'M [%UR&4SU0UR)5V V s0sHupXRU 4_M sn n D6$s sn n f) aBuild a Schema subclass from a function's signature. Each parameter becomes a field. The annotation is used as the type (defaulting to ``Any`` when missing) and the default value is preserved (parameters without defaults become required fields). ``*args`` parameters are wrapped in ``Sequence[annotation]`` and stored under the ``VARIABLE_POSITIONAL_ARGS`` field name. 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Nr\rZr.zField z& must be (annotation, FieldInfo) tuple)rar^r~)rgrituplelenr! ValueErrorr&r0r$rTrjrXr=rnr%r_)__namerrq processed annotationsdefaultsru field_defr& field_info namespacerorrxs rrrs7 w' IKH!<<> i ' 'C Na,?%. "Jj)44&z: vdV+QRS S *$$&D%%'''//HN*'"IX vy) ,C5? 01TIXi(($??,KD{{"'o -! Jrc[USS5nU(a[RRU5OSnU(a [ U5OSn[ XS9$![ [[[4a 0s$f=f)ztResolve type hints for a function, handling forward references. Falls back to raw annotations if resolution fails. rN)globalns) rfsysmodulesr=varsr NameErrorAttributeError TypeErrorRecursionError)rmod_namemodulers rrrsb 4t4.6*D#)4>@OD"--J$$&&#++OOE*d++0B:0N0N*:6 c!gg|&D&D4W=g;E)  4L AT M3 | , ,+66<<>OD"..Jy,66%j1 !!#++'0$'>IOODE*d++0B:0N0N*:6 c!gg|&D&D4W=g;E)  4L+ ?. MrcSS0n[US5(a}URn[USS5n[US5(a URn[ U[ 5(aUO [ U5US'[US5(aUR US'U$[US5(a4[ UR[5(a[UR5nU$)z@Extract model config from a pydantic BaseModel class (v1 or v2).r\rZrrr]r^) rrrfrrirr]r^r)rrcfgr\s r_extract_pydantic_configrsw F|\**%%Wg. 5' " "KKE#-eS#9#9%s5zw 31 2 2030K0KF, - M ~ . .:!!444l//0 Mrcd^[U[5(a[U[5(aU$[ U5(dU$U[ ;a [ U$[ U5n[U5nUm[[U5[405nXl X#l [U4Sj5nXCl U[ U'U$)uBEnsure *schema_cls* satisfies the Schema interface. If it already is a Schema subclass, return it unchanged. If it is a pydantic BaseModel (v1 or v2), build a thin Schema wrapper that exposes the same ``model_fields`` / ``model_config`` and delegates ``model_validate`` to the original pydantic class so that pydantic validators, strict types, constrained types etc. keep working. This allows downstream libraries (spaCy, thinc, …) to keep passing pydantic schemas to ``registry.resolve()`` / ``registry.fill()`` even though confection itself no longer depends on pydantic. c>[5n[TS5(aTRU5 O,[TS5(aTRU5 O T"S0UD6 [ U5nURR5HLupVURb UROUnXt;dM'UR5(aM>URXG'MN [U5$!Uan[ UR 55SeSnAff=f)Nr parse_objr) rrrrr rKrr_rgr%r0r$rP) rorUpyd_validation_errr?rrurxrpyd_clss r_pydantic_model_validate/ensure_schema.._pydantic_model_validate$s<= w 011&&t,+..!!$'$ 4j ++113KD&+kk&=u{{4H*53D3D3F3F(- %4 ,," !   s""C"CCD"C<<D) rirjrrXrrrrpydantic_cls_namer_r^rkr) schema_clsrqrwrapperrrs @rrrs*d## :v(F(F j ) )_$z** %j 1F %j 1FG$Z06)R@G!!--06")OJ Nrc[USS5$)NrPydanticSchema)rfrs rrrCs 3 $4 55rr2r))-rrrrrrr typecheckerrrr version_inforr pydantic.v1r r ImportErrorModuleNotFoundErrorpydanticrrrrrr!r6rrPrXrrrrrrrrarrrrrrrrrrrsA  006 w!% *   &       # #33 i ##yyx)^*  4 9|& 1h.>B6O , -*#%)"* ()&!%&s# C C# C C # C21C2